diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..d7e7167586afa2a49b59fb3e56602e771d6c2cf2 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,19 @@ +.github +.DS_Store +docs +kubernetes +node_modules +/.svelte-kit +/package +.env +.env.* +vite.config.js.timestamp-* +vite.config.ts.timestamp-* +__pycache__ +.idea +venv +_old +uploads +.ipynb_checkpoints +**/*.db +_test \ No newline at end of file diff --git a/.env.example b/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..c38bf88bfb96e3a4f87e9f920096a93379a1e677 --- /dev/null +++ b/.env.example @@ -0,0 +1,13 @@ +# Ollama URL for the backend to connect +# The path '/ollama' will be redirected to the specified backend URL +OLLAMA_BASE_URL='http://localhost:11434' + +OPENAI_API_BASE_URL='' +OPENAI_API_KEY='' + +# AUTOMATIC1111_BASE_URL="http://localhost:7860" + +# DO NOT TRACK +SCARF_NO_ANALYTICS=true +DO_NOT_TRACK=true +ANONYMIZED_TELEMETRY=false \ No newline at end of file diff --git a/.eslintignore b/.eslintignore new file mode 100644 index 0000000000000000000000000000000000000000..38972655faff07d2cc0383044bbf9f43b22c2248 --- /dev/null +++ b/.eslintignore @@ -0,0 +1,13 @@ +.DS_Store +node_modules +/build +/.svelte-kit +/package +.env +.env.* +!.env.example + +# Ignore files for PNPM, NPM and YARN +pnpm-lock.yaml +package-lock.json +yarn.lock diff --git a/.eslintrc.cjs b/.eslintrc.cjs new file mode 100644 index 0000000000000000000000000000000000000000..cea095ea1aa19e444dc44264c138c95a82dfa04e --- /dev/null +++ b/.eslintrc.cjs @@ -0,0 +1,31 @@ +module.exports = { + root: true, + extends: [ + 'eslint:recommended', + 'plugin:@typescript-eslint/recommended', + 'plugin:svelte/recommended', + 'plugin:cypress/recommended', + 'prettier' + ], + parser: '@typescript-eslint/parser', + plugins: ['@typescript-eslint'], + parserOptions: { + sourceType: 'module', + ecmaVersion: 2020, + extraFileExtensions: ['.svelte'] + }, + env: { + browser: true, + es2017: true, + node: true + }, + overrides: [ + { + files: ['*.svelte'], + parser: 'svelte-eslint-parser', + parserOptions: { + parser: '@typescript-eslint/parser' + } + } + ] +}; diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..f4382913f4ec5654c4d8c8ba17b25b64afc603d0 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +*.sh text eol=lf +*.ttf filter=lfs diff=lfs merge=lfs -text diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 0000000000000000000000000000000000000000..ef274fa9184f884a8f4af07f0c246d0592eafe42 --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1 @@ +github: tjbck diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000000000000000000000000000000000000..d0f38c2334e7c2ab89f1274df1ba91e37d2f89ef --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,80 @@ +--- +name: Bug report +about: Create a report to help us improve +title: '' +labels: '' +assignees: '' +--- + +# Bug Report + +## Important Notes + +- **Before submitting a bug report**: Please check the Issues or Discussions section to see if a similar issue or feature request has already been posted. It's likely we're already tracking it! If you’re unsure, start a discussion post first. This will help us efficiently focus on improving the project. + +- **Collaborate respectfully**: We value a constructive attitude, so please be mindful of your communication. If negativity is part of your approach, our capacity to engage may be limited. We’re here to help if you’re open to learning and communicating positively. Remember, Open WebUI is a volunteer-driven project managed by a single maintainer and supported by contributors who also have full-time jobs. We appreciate your time and ask that you respect ours. + +- **Contributing**: If you encounter an issue, we highly encourage you to submit a pull request or fork the project. We actively work to prevent contributor burnout to maintain the quality and continuity of Open WebUI. + +- **Bug reproducibility**: If a bug cannot be reproduced with a `:main` or `:dev` Docker setup, or a pip install with Python 3.11, it may require additional help from the community. In such cases, we will move it to the "issues" Discussions section due to our limited resources. We encourage the community to assist with these issues. Remember, it’s not that the issue doesn’t exist; we need your help! + +Note: Please remove the notes above when submitting your post. Thank you for your understanding and support! + +--- + +## Installation Method + +[Describe the method you used to install the project, e.g., git clone, Docker, pip, etc.] + +## Environment + +- **Open WebUI Version:** [e.g., v0.3.11] +- **Ollama (if applicable):** [e.g., v0.2.0, v0.1.32-rc1] + +- **Operating System:** [e.g., Windows 10, macOS Big Sur, Ubuntu 20.04] +- **Browser (if applicable):** [e.g., Chrome 100.0, Firefox 98.0] + +**Confirmation:** + +- [ ] I have read and followed all the instructions provided in the README.md. +- [ ] I am on the latest version of both Open WebUI and Ollama. +- [ ] I have included the browser console logs. +- [ ] I have included the Docker container logs. +- [ ] I have provided the exact steps to reproduce the bug in the "Steps to Reproduce" section below. + +## Expected Behavior: + +[Describe what you expected to happen.] + +## Actual Behavior: + +[Describe what actually happened.] + +## Description + +**Bug Summary:** +[Provide a brief but clear summary of the bug] + +## Reproduction Details + +**Steps to Reproduce:** +[Outline the steps to reproduce the bug. Be as detailed as possible.] + +## Logs and Screenshots + +**Browser Console Logs:** +[Include relevant browser console logs, if applicable] + +**Docker Container Logs:** +[Include relevant Docker container logs, if applicable] + +**Screenshots/Screen Recordings (if applicable):** +[Attach any relevant screenshots to help illustrate the issue] + +## Additional Information + +[Include any additional details that may help in understanding and reproducing the issue. This could include specific configurations, error messages, or anything else relevant to the bug.] + +## Note + +If the bug report is incomplete or does not follow the provided instructions, it may not be addressed. Please ensure that you have followed the steps outlined in the README.md and troubleshooting.md documents, and provide all necessary information for us to reproduce and address the issue. Thank you! diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000000000000000000000000000000000000..5d6e9d708d634b9f5ad6fe066ac15928a6d85a2b --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,35 @@ +--- +name: Feature request +about: Suggest an idea for this project +title: '' +labels: '' +assignees: '' +--- + +# Feature Request + +## Important Notes + +- **Before submitting a report**: Please check the Issues or Discussions section to see if a similar issue or feature request has already been posted. It's likely we're already tracking it! If you’re unsure, start a discussion post first. This will help us efficiently focus on improving the project. + +- **Collaborate respectfully**: We value a constructive attitude, so please be mindful of your communication. If negativity is part of your approach, our capacity to engage may be limited. We’re here to help if you’re open to learning and communicating positively. Remember, Open WebUI is a volunteer-driven project managed by a single maintainer and supported by contributors who also have full-time jobs. We appreciate your time and ask that you respect ours. + +- **Contributing**: If you encounter an issue, we highly encourage you to submit a pull request or fork the project. We actively work to prevent contributor burnout to maintain the quality and continuity of Open WebUI. + +- **Bug reproducibility**: If a bug cannot be reproduced with a `:main` or `:dev` Docker setup, or a pip install with Python 3.11, it may require additional help from the community. In such cases, we will move it to the "issues" Discussions section due to our limited resources. We encourage the community to assist with these issues. Remember, it’s not that the issue doesn’t exist; we need your help! + +Note: Please remove the notes above when submitting your post. Thank you for your understanding and support! + +--- + +**Is your feature request related to a problem? Please describe.** +A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + +**Describe the solution you'd like** +A clear and concise description of what you want to happen. + +**Describe alternatives you've considered** +A clear and concise description of any alternative solutions or features you've considered. + +**Additional context** +Add any other context or screenshots about the feature request here. diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 0000000000000000000000000000000000000000..af0a8ed0ee4cd85e0b381dc895baccb90f24f62a --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,12 @@ +version: 2 +updates: + - package-ecosystem: pip + directory: '/backend' + schedule: + interval: monthly + target-branch: 'dev' + - package-ecosystem: 'github-actions' + directory: '/' + schedule: + # Check for updates to GitHub Actions every week + interval: monthly diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 0000000000000000000000000000000000000000..2a45c2c16e41cccaea1dd2e67f7568fef1206959 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,72 @@ +# Pull Request Checklist + +### Note to first-time contributors: Please open a discussion post in [Discussions](https://github.com/open-webui/open-webui/discussions) and describe your changes before submitting a pull request. + +**Before submitting, make sure you've checked the following:** + +- [ ] **Target branch:** Please verify that the pull request targets the `dev` branch. +- [ ] **Description:** Provide a concise description of the changes made in this pull request. +- [ ] **Changelog:** Ensure a changelog entry following the format of [Keep a Changelog](https://keepachangelog.com/) is added at the bottom of the PR description. +- [ ] **Documentation:** Have you updated relevant documentation [Open WebUI Docs](https://github.com/open-webui/docs), or other documentation sources? +- [ ] **Dependencies:** Are there any new dependencies? Have you updated the dependency versions in the documentation? +- [ ] **Testing:** Have you written and run sufficient tests for validating the changes? +- [ ] **Code review:** Have you performed a self-review of your code, addressing any coding standard issues and ensuring adherence to the project's coding standards? +- [ ] **Prefix:** To cleary categorize this pull request, prefix the pull request title, using one of the following: + - **BREAKING CHANGE**: Significant changes that may affect compatibility + - **build**: Changes that affect the build system or external dependencies + - **ci**: Changes to our continuous integration processes or workflows + - **chore**: Refactor, cleanup, or other non-functional code changes + - **docs**: Documentation update or addition + - **feat**: Introduces a new feature or enhancement to the codebase + - **fix**: Bug fix or error correction + - **i18n**: Internationalization or localization changes + - **perf**: Performance improvement + - **refactor**: Code restructuring for better maintainability, readability, or scalability + - **style**: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc.) + - **test**: Adding missing tests or correcting existing tests + - **WIP**: Work in progress, a temporary label for incomplete or ongoing work + +# Changelog Entry + +### Description + +- [Concisely describe the changes made in this pull request, including any relevant motivation and impact (e.g., fixing a bug, adding a feature, or improving performance)] + +### Added + +- [List any new features, functionalities, or additions] + +### Changed + +- [List any changes, updates, refactorings, or optimizations] + +### Deprecated + +- [List any deprecated functionality or features that have been removed] + +### Removed + +- [List any removed features, files, or functionalities] + +### Fixed + +- [List any fixes, corrections, or bug fixes] + +### Security + +- [List any new or updated security-related changes, including vulnerability fixes] + +### Breaking Changes + +- **BREAKING CHANGE**: [List any breaking changes affecting compatibility or functionality] + +--- + +### Additional Information + +- [Insert any additional context, notes, or explanations for the changes] + - [Reference any related issues, commits, or other relevant information] + +### Screenshots or Videos + +- [Attach any relevant screenshots or videos demonstrating the changes] diff --git a/.github/workflows/build-release.yml b/.github/workflows/build-release.yml new file mode 100644 index 0000000000000000000000000000000000000000..443d904199d7079fe12fc269af45debdc9d316f3 --- /dev/null +++ b/.github/workflows/build-release.yml @@ -0,0 +1,72 @@ +name: Release + +on: + push: + branches: + - main # or whatever branch you want to use + +jobs: + release: + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Check for changes in package.json + run: | + git diff --cached --diff-filter=d package.json || { + echo "No changes to package.json" + exit 1 + } + + - name: Get version number from package.json + id: get_version + run: | + VERSION=$(jq -r '.version' package.json) + echo "::set-output name=version::$VERSION" + + - name: Extract latest CHANGELOG entry + id: changelog + run: | + CHANGELOG_CONTENT=$(awk 'BEGIN {print_section=0;} /^## \[/ {if (print_section == 0) {print_section=1;} else {exit;}} print_section {print;}' CHANGELOG.md) + CHANGELOG_ESCAPED=$(echo "$CHANGELOG_CONTENT" | sed ':a;N;$!ba;s/\n/%0A/g') + echo "Extracted latest release notes from CHANGELOG.md:" + echo -e "$CHANGELOG_CONTENT" + echo "::set-output name=content::$CHANGELOG_ESCAPED" + + - name: Create GitHub release + uses: actions/github-script@v7 + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + script: | + const changelog = `${{ steps.changelog.outputs.content }}`; + const release = await github.rest.repos.createRelease({ + owner: context.repo.owner, + repo: context.repo.repo, + tag_name: `v${{ steps.get_version.outputs.version }}`, + name: `v${{ steps.get_version.outputs.version }}`, + body: changelog, + }) + console.log(`Created release ${release.data.html_url}`) + + - name: Upload package to GitHub release + uses: actions/upload-artifact@v4 + with: + name: package + path: | + . + !.git + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + - name: Trigger Docker build workflow + uses: actions/github-script@v7 + with: + script: | + github.rest.actions.createWorkflowDispatch({ + owner: context.repo.owner, + repo: context.repo.repo, + workflow_id: 'docker-build.yaml', + ref: 'v${{ steps.get_version.outputs.version }}', + }) diff --git a/.github/workflows/deploy-to-hf-spaces.yml b/.github/workflows/deploy-to-hf-spaces.yml new file mode 100644 index 0000000000000000000000000000000000000000..aa8bbcfceec2acdb5a617498b369b8c672bf93a9 --- /dev/null +++ b/.github/workflows/deploy-to-hf-spaces.yml @@ -0,0 +1,59 @@ +name: Deploy to HuggingFace Spaces + +on: + push: + branches: + - dev + - main + workflow_dispatch: + +jobs: + check-secret: + runs-on: ubuntu-latest + outputs: + token-set: ${{ steps.check-key.outputs.defined }} + steps: + - id: check-key + env: + HF_TOKEN: ${{ secrets.HF_TOKEN }} + if: "${{ env.HF_TOKEN != '' }}" + run: echo "defined=true" >> $GITHUB_OUTPUT + + deploy: + runs-on: ubuntu-latest + needs: [check-secret] + if: needs.check-secret.outputs.token-set == 'true' + env: + HF_TOKEN: ${{ secrets.HF_TOKEN }} + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Remove git history + run: rm -rf .git + + - name: Prepend YAML front matter to README.md + run: | + echo "---" > temp_readme.md + echo "title: Open WebUI" >> temp_readme.md + echo "emoji: 🐳" >> temp_readme.md + echo "colorFrom: purple" >> temp_readme.md + echo "colorTo: gray" >> temp_readme.md + echo "sdk: docker" >> temp_readme.md + echo "app_port: 8080" >> temp_readme.md + echo "---" >> temp_readme.md + cat README.md >> temp_readme.md + mv temp_readme.md README.md + + - name: Configure git + run: | + git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com" + git config --global user.name "github-actions[bot]" + - name: Set up Git and push to Space + run: | + git init --initial-branch=main + git lfs track "*.ttf" + rm demo.gif + git add . + git commit -m "GitHub deploy: ${{ github.sha }}" + git push --force https://open-webui:${HF_TOKEN}@huggingface.co/spaces/open-webui/open-webui main diff --git a/.github/workflows/docker-build.yaml b/.github/workflows/docker-build.yaml new file mode 100644 index 0000000000000000000000000000000000000000..03dcf845567926f41da3b4c64de42fd94149c3c4 --- /dev/null +++ b/.github/workflows/docker-build.yaml @@ -0,0 +1,477 @@ +name: Create and publish Docker images with specific build args + +on: + workflow_dispatch: + push: + branches: + - main + - dev + tags: + - v* + +env: + REGISTRY: ghcr.io + +jobs: + build-main-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + strategy: + fail-fast: false + matrix: + platform: + - linux/amd64 + - linux/arm64 + + steps: + # GitHub Packages requires the entire repository name to be in lowercase + # although the repository owner has a lowercase username, this prevents some people from running actions after forking + - name: Set repository and image name to lowercase + run: | + echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV} + echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV} + env: + IMAGE_NAME: '${{ github.repository }}' + + - name: Prepare + run: | + platform=${{ matrix.platform }} + echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV + + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for Docker images (default latest tag) + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=tag + type=sha,prefix=git- + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + flavor: | + latest=${{ github.ref == 'refs/heads/main' }} + + - name: Extract metadata for Docker cache + id: cache-meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }} + flavor: | + prefix=cache-${{ matrix.platform }}- + latest=false + + - name: Build Docker image (latest) + uses: docker/build-push-action@v5 + id: build + with: + context: . + push: true + platforms: ${{ matrix.platform }} + labels: ${{ steps.meta.outputs.labels }} + outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true + cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }} + cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max + build-args: | + BUILD_HASH=${{ github.sha }} + + - name: Export digest + run: | + mkdir -p /tmp/digests + digest="${{ steps.build.outputs.digest }}" + touch "/tmp/digests/${digest#sha256:}" + + - name: Upload digest + uses: actions/upload-artifact@v4 + with: + name: digests-main-${{ env.PLATFORM_PAIR }} + path: /tmp/digests/* + if-no-files-found: error + retention-days: 1 + + build-cuda-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + strategy: + fail-fast: false + matrix: + platform: + - linux/amd64 + - linux/arm64 + + steps: + # GitHub Packages requires the entire repository name to be in lowercase + # although the repository owner has a lowercase username, this prevents some people from running actions after forking + - name: Set repository and image name to lowercase + run: | + echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV} + echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV} + env: + IMAGE_NAME: '${{ github.repository }}' + + - name: Prepare + run: | + platform=${{ matrix.platform }} + echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV + + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for Docker images (cuda tag) + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=tag + type=sha,prefix=git- + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=cuda + flavor: | + latest=${{ github.ref == 'refs/heads/main' }} + suffix=-cuda,onlatest=true + + - name: Extract metadata for Docker cache + id: cache-meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }} + flavor: | + prefix=cache-cuda-${{ matrix.platform }}- + latest=false + + - name: Build Docker image (cuda) + uses: docker/build-push-action@v5 + id: build + with: + context: . + push: true + platforms: ${{ matrix.platform }} + labels: ${{ steps.meta.outputs.labels }} + outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true + cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }} + cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max + build-args: | + BUILD_HASH=${{ github.sha }} + USE_CUDA=true + + - name: Export digest + run: | + mkdir -p /tmp/digests + digest="${{ steps.build.outputs.digest }}" + touch "/tmp/digests/${digest#sha256:}" + + - name: Upload digest + uses: actions/upload-artifact@v4 + with: + name: digests-cuda-${{ env.PLATFORM_PAIR }} + path: /tmp/digests/* + if-no-files-found: error + retention-days: 1 + + build-ollama-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + strategy: + fail-fast: false + matrix: + platform: + - linux/amd64 + - linux/arm64 + + steps: + # GitHub Packages requires the entire repository name to be in lowercase + # although the repository owner has a lowercase username, this prevents some people from running actions after forking + - name: Set repository and image name to lowercase + run: | + echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV} + echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV} + env: + IMAGE_NAME: '${{ github.repository }}' + + - name: Prepare + run: | + platform=${{ matrix.platform }} + echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV + + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for Docker images (ollama tag) + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=tag + type=sha,prefix=git- + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=ollama + flavor: | + latest=${{ github.ref == 'refs/heads/main' }} + suffix=-ollama,onlatest=true + + - name: Extract metadata for Docker cache + id: cache-meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }} + flavor: | + prefix=cache-ollama-${{ matrix.platform }}- + latest=false + + - name: Build Docker image (ollama) + uses: docker/build-push-action@v5 + id: build + with: + context: . + push: true + platforms: ${{ matrix.platform }} + labels: ${{ steps.meta.outputs.labels }} + outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true + cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }} + cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max + build-args: | + BUILD_HASH=${{ github.sha }} + USE_OLLAMA=true + + - name: Export digest + run: | + mkdir -p /tmp/digests + digest="${{ steps.build.outputs.digest }}" + touch "/tmp/digests/${digest#sha256:}" + + - name: Upload digest + uses: actions/upload-artifact@v4 + with: + name: digests-ollama-${{ env.PLATFORM_PAIR }} + path: /tmp/digests/* + if-no-files-found: error + retention-days: 1 + + merge-main-images: + runs-on: ubuntu-latest + needs: [build-main-image] + steps: + # GitHub Packages requires the entire repository name to be in lowercase + # although the repository owner has a lowercase username, this prevents some people from running actions after forking + - name: Set repository and image name to lowercase + run: | + echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV} + echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV} + env: + IMAGE_NAME: '${{ github.repository }}' + + - name: Download digests + uses: actions/download-artifact@v4 + with: + pattern: digests-main-* + path: /tmp/digests + merge-multiple: true + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for Docker images (default latest tag) + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=tag + type=sha,prefix=git- + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + flavor: | + latest=${{ github.ref == 'refs/heads/main' }} + + - name: Create manifest list and push + working-directory: /tmp/digests + run: | + docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \ + $(printf '${{ env.FULL_IMAGE_NAME }}@sha256:%s ' *) + + - name: Inspect image + run: | + docker buildx imagetools inspect ${{ env.FULL_IMAGE_NAME }}:${{ steps.meta.outputs.version }} + + merge-cuda-images: + runs-on: ubuntu-latest + needs: [build-cuda-image] + steps: + # GitHub Packages requires the entire repository name to be in lowercase + # although the repository owner has a lowercase username, this prevents some people from running actions after forking + - name: Set repository and image name to lowercase + run: | + echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV} + echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV} + env: + IMAGE_NAME: '${{ github.repository }}' + + - name: Download digests + uses: actions/download-artifact@v4 + with: + pattern: digests-cuda-* + path: /tmp/digests + merge-multiple: true + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for Docker images (default latest tag) + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=tag + type=sha,prefix=git- + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=cuda + flavor: | + latest=${{ github.ref == 'refs/heads/main' }} + suffix=-cuda,onlatest=true + + - name: Create manifest list and push + working-directory: /tmp/digests + run: | + docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \ + $(printf '${{ env.FULL_IMAGE_NAME }}@sha256:%s ' *) + + - name: Inspect image + run: | + docker buildx imagetools inspect ${{ env.FULL_IMAGE_NAME }}:${{ steps.meta.outputs.version }} + + merge-ollama-images: + runs-on: ubuntu-latest + needs: [build-ollama-image] + steps: + # GitHub Packages requires the entire repository name to be in lowercase + # although the repository owner has a lowercase username, this prevents some people from running actions after forking + - name: Set repository and image name to lowercase + run: | + echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV} + echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV} + env: + IMAGE_NAME: '${{ github.repository }}' + + - name: Download digests + uses: actions/download-artifact@v4 + with: + pattern: digests-ollama-* + path: /tmp/digests + merge-multiple: true + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for Docker images (default ollama tag) + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.FULL_IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=tag + type=sha,prefix=git- + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=raw,enable=${{ github.ref == 'refs/heads/main' }},prefix=,suffix=,value=ollama + flavor: | + latest=${{ github.ref == 'refs/heads/main' }} + suffix=-ollama,onlatest=true + + - name: Create manifest list and push + working-directory: /tmp/digests + run: | + docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \ + $(printf '${{ env.FULL_IMAGE_NAME }}@sha256:%s ' *) + + - name: Inspect image + run: | + docker buildx imagetools inspect ${{ env.FULL_IMAGE_NAME }}:${{ steps.meta.outputs.version }} diff --git a/.github/workflows/format-backend.yaml b/.github/workflows/format-backend.yaml new file mode 100644 index 0000000000000000000000000000000000000000..44587669753b484be551c1560075e4b36d39f270 --- /dev/null +++ b/.github/workflows/format-backend.yaml @@ -0,0 +1,39 @@ +name: Python CI + +on: + push: + branches: + - main + - dev + pull_request: + branches: + - main + - dev + +jobs: + build: + name: 'Format Backend' + runs-on: ubuntu-latest + + strategy: + matrix: + python-version: [3.11] + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install black + + - name: Format backend + run: npm run format:backend + + - name: Check for changes after format + run: git diff --exit-code diff --git a/.github/workflows/format-build-frontend.yaml b/.github/workflows/format-build-frontend.yaml new file mode 100644 index 0000000000000000000000000000000000000000..53d3aaa5ec830db736d167992bb2859332446f58 --- /dev/null +++ b/.github/workflows/format-build-frontend.yaml @@ -0,0 +1,57 @@ +name: Frontend Build + +on: + push: + branches: + - main + - dev + pull_request: + branches: + - main + - dev + +jobs: + build: + name: 'Format & Build Frontend' + runs-on: ubuntu-latest + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + + - name: Setup Node.js + uses: actions/setup-node@v4 + with: + node-version: '22' # Or specify any other version you want to use + + - name: Install Dependencies + run: npm install + + - name: Format Frontend + run: npm run format + + - name: Run i18next + run: npm run i18n:parse + + - name: Check for Changes After Format + run: git diff --exit-code + + - name: Build Frontend + run: npm run build + + test-frontend: + name: 'Frontend Unit Tests' + runs-on: ubuntu-latest + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + + - name: Setup Node.js + uses: actions/setup-node@v4 + with: + node-version: '22' + + - name: Install Dependencies + run: npm ci + + - name: Run vitest + run: npm run test:frontend diff --git a/.github/workflows/integration-test.yml b/.github/workflows/integration-test.yml new file mode 100644 index 0000000000000000000000000000000000000000..cb404f1fc1bd1671393a63f1c38c3da5e416468d --- /dev/null +++ b/.github/workflows/integration-test.yml @@ -0,0 +1,253 @@ +name: Integration Test + +on: + push: + branches: + - main + - dev + pull_request: + branches: + - main + - dev + +jobs: + cypress-run: + name: Run Cypress Integration Tests + runs-on: ubuntu-latest + steps: + - name: Maximize build space + uses: AdityaGarg8/remove-unwanted-software@v4.1 + with: + remove-android: 'true' + remove-haskell: 'true' + remove-codeql: 'true' + + - name: Checkout Repository + uses: actions/checkout@v4 + + - name: Build and run Compose Stack + run: | + docker compose \ + --file docker-compose.yaml \ + --file docker-compose.api.yaml \ + --file docker-compose.a1111-test.yaml \ + up --detach --build + + - name: Delete Docker build cache + run: | + docker builder prune --all --force + + - name: Wait for Ollama to be up + timeout-minutes: 5 + run: | + until curl --output /dev/null --silent --fail http://localhost:11434; do + printf '.' + sleep 1 + done + echo "Service is up!" + + - name: Preload Ollama model + run: | + docker exec ollama ollama pull qwen:0.5b-chat-v1.5-q2_K + + - name: Cypress run + uses: cypress-io/github-action@v6 + with: + browser: chrome + wait-on: 'http://localhost:3000' + config: baseUrl=http://localhost:3000 + + - uses: actions/upload-artifact@v4 + if: always() + name: Upload Cypress videos + with: + name: cypress-videos + path: cypress/videos + if-no-files-found: ignore + + - name: Extract Compose logs + if: always() + run: | + docker compose logs > compose-logs.txt + + - uses: actions/upload-artifact@v4 + if: always() + name: Upload Compose logs + with: + name: compose-logs + path: compose-logs.txt + if-no-files-found: ignore + + # pytest: + # name: Run Backend Tests + # runs-on: ubuntu-latest + # steps: + # - uses: actions/checkout@v4 + + # - name: Set up Python + # uses: actions/setup-python@v5 + # with: + # python-version: ${{ matrix.python-version }} + + # - name: Install dependencies + # run: | + # python -m pip install --upgrade pip + # pip install -r backend/requirements.txt + + # - name: pytest run + # run: | + # ls -al + # cd backend + # PYTHONPATH=. pytest . -o log_cli=true -o log_cli_level=INFO + + migration_test: + name: Run Migration Tests + runs-on: ubuntu-latest + services: + postgres: + image: postgres + env: + POSTGRES_PASSWORD: postgres + options: >- + --health-cmd pg_isready + --health-interval 10s + --health-timeout 5s + --health-retries 5 + ports: + - 5432:5432 + # mysql: + # image: mysql + # env: + # MYSQL_ROOT_PASSWORD: mysql + # MYSQL_DATABASE: mysql + # options: >- + # --health-cmd "mysqladmin ping -h localhost" + # --health-interval 10s + # --health-timeout 5s + # --health-retries 5 + # ports: + # - 3306:3306 + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Set up uv + uses: yezz123/setup-uv@v4 + with: + uv-venv: venv + + - name: Activate virtualenv + run: | + . venv/bin/activate + echo PATH=$PATH >> $GITHUB_ENV + + - name: Install dependencies + run: | + uv pip install -r backend/requirements.txt + + - name: Test backend with SQLite + id: sqlite + env: + WEBUI_SECRET_KEY: secret-key + GLOBAL_LOG_LEVEL: debug + run: | + cd backend + uvicorn open_webui.main:app --port "8080" --forwarded-allow-ips '*' & + UVICORN_PID=$! + # Wait up to 40 seconds for the server to start + for i in {1..40}; do + curl -s http://localhost:8080/api/config > /dev/null && break + sleep 1 + if [ $i -eq 40 ]; then + echo "Server failed to start" + kill -9 $UVICORN_PID + exit 1 + fi + done + # Check that the server is still running after 5 seconds + sleep 5 + if ! kill -0 $UVICORN_PID; then + echo "Server has stopped" + exit 1 + fi + + - name: Test backend with Postgres + if: success() || steps.sqlite.conclusion == 'failure' + env: + WEBUI_SECRET_KEY: secret-key + GLOBAL_LOG_LEVEL: debug + DATABASE_URL: postgresql://postgres:postgres@localhost:5432/postgres + DATABASE_POOL_SIZE: 10 + DATABASE_POOL_MAX_OVERFLOW: 10 + DATABASE_POOL_TIMEOUT: 30 + run: | + cd backend + uvicorn open_webui.main:app --port "8081" --forwarded-allow-ips '*' & + UVICORN_PID=$! + # Wait up to 20 seconds for the server to start + for i in {1..20}; do + curl -s http://localhost:8081/api/config > /dev/null && break + sleep 1 + if [ $i -eq 20 ]; then + echo "Server failed to start" + kill -9 $UVICORN_PID + exit 1 + fi + done + # Check that the server is still running after 5 seconds + sleep 5 + if ! kill -0 $UVICORN_PID; then + echo "Server has stopped" + exit 1 + fi + + # Check that service will reconnect to postgres when connection will be closed + status_code=$(curl --write-out %{http_code} -s --output /dev/null http://localhost:8081/health/db) + if [[ "$status_code" -ne 200 ]] ; then + echo "Server has failed before postgres reconnect check" + exit 1 + fi + + echo "Terminating all connections to postgres..." + python -c "import os, psycopg2 as pg2; \ + conn = pg2.connect(dsn=os.environ['DATABASE_URL'].replace('+pool', '')); \ + cur = conn.cursor(); \ + cur.execute('SELECT pg_terminate_backend(psa.pid) FROM pg_stat_activity psa WHERE datname = current_database() AND pid <> pg_backend_pid();')" + + status_code=$(curl --write-out %{http_code} -s --output /dev/null http://localhost:8081/health/db) + if [[ "$status_code" -ne 200 ]] ; then + echo "Server has not reconnected to postgres after connection was closed: returned status $status_code" + exit 1 + fi + +# - name: Test backend with MySQL +# if: success() || steps.sqlite.conclusion == 'failure' || steps.postgres.conclusion == 'failure' +# env: +# WEBUI_SECRET_KEY: secret-key +# GLOBAL_LOG_LEVEL: debug +# DATABASE_URL: mysql://root:mysql@localhost:3306/mysql +# run: | +# cd backend +# uvicorn open_webui.main:app --port "8083" --forwarded-allow-ips '*' & +# UVICORN_PID=$! +# # Wait up to 20 seconds for the server to start +# for i in {1..20}; do +# curl -s http://localhost:8083/api/config > /dev/null && break +# sleep 1 +# if [ $i -eq 20 ]; then +# echo "Server failed to start" +# kill -9 $UVICORN_PID +# exit 1 +# fi +# done +# # Check that the server is still running after 5 seconds +# sleep 5 +# if ! kill -0 $UVICORN_PID; then +# echo "Server has stopped" +# exit 1 +# fi diff --git a/.github/workflows/lint-backend.disabled b/.github/workflows/lint-backend.disabled new file mode 100644 index 0000000000000000000000000000000000000000..dd0bdc7fa7bb123de740f6ee2df1d8aaa6dfa312 --- /dev/null +++ b/.github/workflows/lint-backend.disabled @@ -0,0 +1,27 @@ +name: Python CI +on: + push: + branches: ['main'] + pull_request: +jobs: + build: + name: 'Lint Backend' + env: + PUBLIC_API_BASE_URL: '' + runs-on: ubuntu-latest + strategy: + matrix: + node-version: + - latest + steps: + - uses: actions/checkout@v4 + - name: Use Python + uses: actions/setup-python@v5 + - name: Use Bun + uses: oven-sh/setup-bun@v1 + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install pylint + - name: Lint backend + run: bun run lint:backend diff --git a/.github/workflows/lint-frontend.disabled b/.github/workflows/lint-frontend.disabled new file mode 100644 index 0000000000000000000000000000000000000000..2c1cd3c5a574989def4319d07405f0bb621d74df --- /dev/null +++ b/.github/workflows/lint-frontend.disabled @@ -0,0 +1,21 @@ +name: Bun CI +on: + push: + branches: ['main'] + pull_request: +jobs: + build: + name: 'Lint Frontend' + env: + PUBLIC_API_BASE_URL: '' + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Use Bun + uses: oven-sh/setup-bun@v1 + - run: bun --version + - name: Install frontend dependencies + run: bun install --frozen-lockfile + - run: bun run lint:frontend + - run: bun run lint:types + if: success() || failure() \ No newline at end of file diff --git a/.github/workflows/release-pypi.yml b/.github/workflows/release-pypi.yml new file mode 100644 index 0000000000000000000000000000000000000000..8a2e3438a6dfb242f665602b31da133b39f1f797 --- /dev/null +++ b/.github/workflows/release-pypi.yml @@ -0,0 +1,32 @@ +name: Release to PyPI + +on: + push: + branches: + - main # or whatever branch you want to use + - pypi-release + +jobs: + release: + runs-on: ubuntu-latest + environment: + name: pypi + url: https://pypi.org/p/open-webui + permissions: + id-token: write + steps: + - name: Checkout repository + uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 18 + - uses: actions/setup-python@v5 + with: + python-version: 3.11 + - name: Build + run: | + python -m pip install --upgrade pip + pip install build + python -m build . + - name: Publish package distributions to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..32271f8087e213e83089162bd0b1ec99c60d45ca --- /dev/null +++ b/.gitignore @@ -0,0 +1,309 @@ +.DS_Store +node_modules +/build +/.svelte-kit +/package +.env +.env.* +!.env.example +vite.config.js.timestamp-* +vite.config.ts.timestamp-* +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Pyodide distribution +static/pyodide/* +!static/pyodide/pyodide-lock.json + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +.idea/ + +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* +.pnpm-debug.log* + +# Diagnostic reports (https://nodejs.org/api/report.html) +report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# Directory for instrumented libs generated by jscoverage/JSCover +lib-cov + +# Coverage directory used by tools like istanbul +coverage +*.lcov + +# nyc test coverage +.nyc_output + +# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) +.grunt + +# Bower dependency directory (https://bower.io/) +bower_components + +# node-waf configuration +.lock-wscript + +# Compiled binary addons (https://nodejs.org/api/addons.html) +build/Release + +# Dependency directories +node_modules/ +jspm_packages/ + +# Snowpack dependency directory (https://snowpack.dev/) +web_modules/ + +# TypeScript cache +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Optional stylelint cache +.stylelintcache + +# Microbundle cache +.rpt2_cache/ +.rts2_cache_cjs/ +.rts2_cache_es/ +.rts2_cache_umd/ + +# Optional REPL history +.node_repl_history + +# Output of 'npm pack' +*.tgz + +# Yarn Integrity file +.yarn-integrity + +# dotenv environment variable files +.env +.env.development.local +.env.test.local +.env.production.local +.env.local + +# parcel-bundler cache (https://parceljs.org/) +.cache +.parcel-cache + +# Next.js build output +.next +out + +# Nuxt.js build / generate output +.nuxt +dist + +# Gatsby files +.cache/ +# Comment in the public line in if your project uses Gatsby and not Next.js +# https://nextjs.org/blog/next-9-1#public-directory-support +# public + +# vuepress build output +.vuepress/dist + +# vuepress v2.x temp and cache directory +.temp +.cache + +# Docusaurus cache and generated files +.docusaurus + +# Serverless directories +.serverless/ + +# FuseBox cache +.fusebox/ + +# DynamoDB Local files +.dynamodb/ + +# TernJS port file +.tern-port + +# Stores VSCode versions used for testing VSCode extensions +.vscode-test + +# yarn v2 +.yarn/cache +.yarn/unplugged +.yarn/build-state.yml +.yarn/install-state.gz +.pnp.* + +# cypress artifacts +cypress/videos +cypress/screenshots +.vscode/settings.json diff --git a/.npmrc b/.npmrc new file mode 100644 index 0000000000000000000000000000000000000000..b6f27f135954640c8cc5bfd7b8c9922ca6eb2aad --- /dev/null +++ b/.npmrc @@ -0,0 +1 @@ +engine-strict=true diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 0000000000000000000000000000000000000000..82c49125724030d1010bb123df7dae758236ff11 --- /dev/null +++ b/.prettierignore @@ -0,0 +1,316 @@ +# Ignore files for PNPM, NPM and YARN +pnpm-lock.yaml +package-lock.json +yarn.lock + +kubernetes/ + +# Copy of .gitignore +.DS_Store +node_modules +/build +/.svelte-kit +/package +.env +.env.* +!.env.example +vite.config.js.timestamp-* +vite.config.ts.timestamp-* +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +.idea/ + +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* +.pnpm-debug.log* + +# Diagnostic reports (https://nodejs.org/api/report.html) +report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# Directory for instrumented libs generated by jscoverage/JSCover +lib-cov + +# Coverage directory used by tools like istanbul +coverage +*.lcov + +# nyc test coverage +.nyc_output + +# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) +.grunt + +# Bower dependency directory (https://bower.io/) +bower_components + +# node-waf configuration +.lock-wscript + +# Compiled binary addons (https://nodejs.org/api/addons.html) +build/Release + +# Dependency directories +node_modules/ +jspm_packages/ + +# Snowpack dependency directory (https://snowpack.dev/) +web_modules/ + +# TypeScript cache +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Optional stylelint cache +.stylelintcache + +# Microbundle cache +.rpt2_cache/ +.rts2_cache_cjs/ +.rts2_cache_es/ +.rts2_cache_umd/ + +# Optional REPL history +.node_repl_history + +# Output of 'npm pack' +*.tgz + +# Yarn Integrity file +.yarn-integrity + +# dotenv environment variable files +.env +.env.development.local +.env.test.local +.env.production.local +.env.local + +# parcel-bundler cache (https://parceljs.org/) +.cache +.parcel-cache + +# Next.js build output +.next +out + +# Nuxt.js build / generate output +.nuxt +dist + +# Gatsby files +.cache/ +# Comment in the public line in if your project uses Gatsby and not Next.js +# https://nextjs.org/blog/next-9-1#public-directory-support +# public + +# vuepress build output +.vuepress/dist + +# vuepress v2.x temp and cache directory +.temp +.cache + +# Docusaurus cache and generated files +.docusaurus + +# Serverless directories +.serverless/ + +# FuseBox cache +.fusebox/ + +# DynamoDB Local files +.dynamodb/ + +# TernJS port file +.tern-port + +# Stores VSCode versions used for testing VSCode extensions +.vscode-test + +# yarn v2 +.yarn/cache +.yarn/unplugged +.yarn/build-state.yml +.yarn/install-state.gz +.pnp.* + +# cypress artifacts +cypress/videos +cypress/screenshots + + + +/static/* \ No newline at end of file diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 0000000000000000000000000000000000000000..a77fddea90975988d17a7e8b2f61720939a947f5 --- /dev/null +++ b/.prettierrc @@ -0,0 +1,9 @@ +{ + "useTabs": true, + "singleQuote": true, + "trailingComma": "none", + "printWidth": 100, + "plugins": ["prettier-plugin-svelte"], + "pluginSearchDirs": ["."], + "overrides": [{ "files": "*.svelte", "options": { "parser": "svelte" } }] +} diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000000000000000000000000000000000000..5ca694e65c772957733e6f5c8a4b62e9c10fbcea --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,1226 @@ +# Changelog + +All notable changes to this project will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +## [0.3.35] - 2024-10-26 + +### Added + +- **📁 Robust File Handling**: Enhanced file input handling for chat. If the content extraction fails or is empty, users will now receive a clear warning, preventing silent failures and ensuring you always know what's happening with your uploads. +- **🌍 New Language Support**: Introduced Hungarian translations and updated French translations, expanding the platform's language accessibility for a more global user base. + +### Fixed + +- **📚 Knowledge Base Loading Issue**: Resolved a critical bug where the Knowledge Base was not loading, ensuring smooth access to your stored documents and improving information retrieval in RAG-enhanced workflows. +- **🛠️ Tool Parameters Issue**: Fixed an error where tools were not functioning correctly when required parameters were missing, ensuring reliable tool performance and more efficient task completions. +- **🔗 Merged Response Loss in Multi-Model Chats**: Addressed an issue where responses in multi-model chat workflows were being deleted after follow-up queries, improving consistency and ensuring smoother interactions across models. + +## [0.3.34] - 2024-10-26 + +### Added + +- **🔧 Feedback Export Enhancements**: Feedback history data can now be exported to JSON, allowing for seamless integration in RLHF processing and further analysis. +- **🗂️ Embedding Model Lazy Loading**: Search functionality for leaderboard reranking is now more efficient, as embedding models are lazy-loaded only when needed, optimizing performance. +- **🎨 Rich Text Input Toggle**: Users can now switch back to legacy textarea input for chat if they prefer simpler text input, though rich text is still the default until deprecation. +- **🛠️ Improved Tool Calling Mechanism**: Enhanced method for parsing and calling tools, improving the reliability and robustness of tool function calls. +- **🌐 Globalization Enhancements**: Updates to internationalization (i18n) support, further refining multi-language compatibility and accuracy. + +### Fixed + +- **🖥️ Folder Rename Fix for Firefox**: Addressed a persistent issue where users could not rename folders by pressing enter in Firefox, now ensuring seamless folder management across browsers. +- **🔠 Tiktoken Model Text Splitter Issue**: Resolved an issue where the tiktoken text splitter wasn’t working in Docker installations, restoring full functionality for tokenized text editing. +- **💼 S3 File Upload Issue**: Fixed a problem affecting S3 file uploads, ensuring smooth operations for those who store files on cloud storage. +- **🔒 Strict-Transport-Security Crash**: Resolved a crash when setting the Strict-Transport-Security (HSTS) header, improving stability and security enhancements. +- **🚫 OIDC Boolean Access Fix**: Addressed an issue with boolean values not being accessed correctly during OIDC logins, ensuring login reliability. +- **⚙️ Rich Text Paste Behavior**: Refined paste behavior in rich text input to make it smoother and more intuitive when pasting various content types. +- **🔨 Model Exclusion for Arena Fix**: Corrected the filter function that was not properly excluding models from the arena, improving model management. +- **🏷️ "Tags Generation Prompt" Fix**: Addressed an issue preventing custom "tags generation prompts" from registering properly, ensuring custom prompt work seamlessly. + +## [0.3.33] - 2024-10-24 + +### Added + +- **🏆 Evaluation Leaderboard**: Easily track your performance through a new leaderboard system where your ratings contribute to a real-time ranking based on the Elo system. Sibling responses (regenerations, many model chats) are required for your ratings to count in the leaderboard. Additionally, you can opt-in to share your feedback history and be part of the community-wide leaderboard. Expect further improvements as we refine the algorithm—help us build the best community leaderboard! +- **⚔️ Arena Model Evaluation**: Enable blind A/B testing of models directly from Admin Settings > Evaluation for a true side-by-side comparison. Ideal for pinpointing the best model for your needs. +- **🎯 Topic-Based Leaderboard**: Discover more accurate rankings with experimental topic-based reranking, which adjusts leaderboard standings based on tag similarity in feedback. Get more relevant insights based on specific topics! +- **📁 Folders Support for Chats**: Organize your chats better by grouping them into folders. Drag and drop chats between folders and export them seamlessly for easy sharing or analysis. +- **📤 Easy Chat Import via Drag & Drop**: Save time by simply dragging and dropping chat exports (JSON) directly onto the sidebar to import them into your workspace—streamlined, efficient, and intuitive! +- **📚 Enhanced Knowledge Collection**: Now, you can reference individual files from a knowledge collection—ideal for more precise Retrieval-Augmented Generations (RAG) queries and document analysis. +- **🏷️ Enhanced Tagging System**: Tags now take up less space! Utilize the new 'tag:' query system to manage, search, and organize your conversations more effectively without cluttering the interface. +- **🧠 Auto-Tagging for Chats**: Your conversations are now automatically tagged for improved organization, mirroring the efficiency of auto-generated titles. +- **🔍 Backend Chat Query System**: Chat filtering has become more efficient, now handled through the backend\*\* instead of your browser, improving search performance and accuracy. +- **🎮 Revamped Playground**: Experience a refreshed and optimized Playground for smoother testing, tweaks, and experimentation of your models and tools. +- **🧩 Token-Based Text Splitter**: Introducing token-based text splitting (tiktoken), giving you more precise control over how text is processed. Previously, only character-based splitting was available. +- **🔢 Ollama Batch Embeddings**: Leverage new batch embedding support for improved efficiency and performance with Ollama embedding models. +- **🔍 Enhanced Add Text Content Modal**: Enjoy a cleaner, more intuitive workflow for adding and curating knowledge content with an upgraded input modal from our Knowledge workspace. +- **🖋️ Rich Text Input for Chats**: Make your chat inputs more dynamic with support for rich text formatting. Your conversations just got a lot more polished and professional. +- **⚡ Faster Whisper Model Configurability**: Customize your local faster whisper model directly from the WebUI. +- **☁️ Experimental S3 Support**: Enable stateless WebUI instances with S3 support, greatly enhancing scalability and balancing heavy workloads. +- **🔕 Disable Update Toast**: Now you can streamline your workspace even further—choose to disable update notifications for a more focused experience. +- **🌟 RAG Citation Relevance Percentage**: Easily assess citation accuracy with the addition of relevance percentages in RAG results. +- **⚙️ Mermaid Copy Button**: Mermaid diagrams now come with a handy copy button, simplifying the extraction and use of diagram contents directly in your workflow. +- **🎨 UI Redesign**: Major interface redesign that will make navigation smoother, keep your focus where it matters, and ensure a modern look. + +### Fixed + +- **🎙️ Voice Note Mic Stopping Issue**: Fixed the issue where the microphone stayed active after ending a voice note recording, ensuring your audio workflow runs smoothly. + +### Removed + +- **👋 Goodbye Sidebar Tags**: Sidebar tag clutter is gone. We’ve shifted tag buttons to more effective query-based tag filtering for a sleeker, more agile interface. + +## [0.3.32] - 2024-10-06 + +### Added + +- **🔢 Workspace Enhancements**: Added a display count for models, prompts, tools, and functions in the workspace, providing a clear overview and easier management. + +### Fixed + +- **🖥️ Web and YouTube Attachment Fix**: Resolved an issue where attaching web links and YouTube videos was malfunctioning, ensuring seamless integration and display within chats. +- **📞 Call Mode Activation on Landing Page**: Fixed a bug where call mode was not operational from the landing page. + +### Changed + +- **🔄 URL Parameter Refinement**: Updated the 'tool_ids' URL parameter to 'tools' or 'tool-ids' for more intuitive and consistent user experience. +- **🎨 Floating Buttons Styling Update**: Refactored the styling of floating buttons to intelligently adjust to the left side when there isn't enough room on the right, improving interface usability and aesthetic. +- **🔧 Enhanced Accessibility for Floating Buttons**: Implemented the ability to close floating buttons with the 'Esc' key, making workflow smoother and more efficient for users navigating via keyboard. +- **🖇️ Updated Information URL**: Information URLs now direct users to a general release page rather than a version-specific URL, ensuring access to the latest and relevant details all in one place. +- **📦 Library Dependencies Update**: Upgraded dependencies to ensure compatibility and performance optimization for pip installs. + +## [0.3.31] - 2024-10-06 + +### Added + +- **📚 Knowledge Feature**: Reimagined documents feature, now more performant with a better UI for enhanced organization; includes streamlined API integration for Retrieval-Augmented Generation (RAG). Detailed documentation forthcoming: https://docs.openwebui.com/ +- **🌐 New Landing Page**: Freshly designed landing page; toggle between the new UI and the classic chat UI from Settings > Interface for a personalized experience. +- **📁 Full Document Retrieval Mode**: Toggle between full document retrieval or traditional snippets by clicking on the file item. This mode enhances document capabilities and supports comprehensive tasks like summarization by utilizing the entire content instead of RAG. +- **📄 Extracted File Content Display**: View extracted content directly by clicking on the file item, simplifying file analysis. +- **🎨 Artifacts Feature**: Render web content and SVGs directly in the interface, supporting quick iterations and live changes. +- **🖊️ Editable Code Blocks**: Supercharged code blocks now allow live editing directly in the LLM response, with live reloads supported by artifacts. +- **🔧 Code Block Enhancements**: Introduced a floating copy button in code blocks to facilitate easier code copying without scrolling. +- **🔍 SVG Pan/Zoom**: Enhanced interaction with SVG images, including Mermaid diagrams, via new pan and zoom capabilities. +- **🔍 Text Select Quick Actions**: New floating buttons appear when text is highlighted in LLM responses, offering deeper interactions like "Ask a Question" or "Explain". +- **🗃️ Database Pool Configuration**: Enhanced database handling to support scalable user growth. +- **🔊 Experimental Audio Compression**: Compress audio files to navigate around the 25MB limit for OpenAI's speech-to-text processing. +- **🔍 Query Embedding**: Adjusted embedding behavior to enhance system performance by not repeating query embedding. +- **💾 Lazy Load Optimizations**: Implemented lazy loading of large dependencies to minimize initial memory usage, boosting performance. +- **🍏 Apple Touch Icon Support**: Optimizes the display of icons for web bookmarks on Apple mobile devices. +- **🔽 Expandable Content Markdown Support**: Introducing 'details', 'summary' tag support for creating expandable content sections in markdown, facilitating cleaner, organized documentation and interactive content display. + +### Fixed + +- **🔘 Action Button Issue**: Resolved a bug where action buttons were not functioning, enhancing UI reliability. +- **🔄 Multi-Model Chat Loop**: Fixed an infinite loop issue in multi-model chat environments, ensuring smoother chat operations. +- **📄 Chat PDF/TXT Export Issue**: Resolved problems with exporting chat logs to PDF and TXT formats. +- **🔊 Call to Text-to-Speech Issues**: Rectified problems with text-to-speech functions to improve audio interactions. + +### Changed + +- **⚙️ Endpoint Renaming**: Renamed 'rag' endpoints to 'retrieval' for clearer function description. +- **🎨 Styling and Interface Updates**: Multiple refinements across the platform to enhance visual appeal and user interaction. + +### Removed + +- **🗑️ Deprecated 'DOCS_DIR'**: Removed the outdated 'docs_dir' variable in favor of more direct file management solutions, with direct file directory syncing and API uploads for a more integrated experience. + +## [0.3.30] - 2024-09-26 + +### Fixed + +- **🍞 Update Available Toast Dismissal**: Enhanced user experience by ensuring that once the update available notification is dismissed, it won't reappear for 24 hours. +- **📋 Ollama /embed Form Data**: Adjusted the integration inaccuracies in the /embed form data to ensure it perfectly matches with Ollama's specifications. +- **🔧 O1 Max Completion Tokens Issue**: Resolved compatibility issues with OpenAI's o1 models max_completion_tokens param to ensure smooth operation. +- **🔄 Pip Install Database Issue**: Fixed a critical issue where database changes during pip installations were reverting and not saving chat logs, now ensuring data persistence and reliability in chat operations. +- **🏷️ Chat Rename Tab Update**: Fixed the functionality to change the web browser's tab title simultaneously when a chat is renamed, keeping tab titles consistent. + +## [0.3.29] - 2023-09-25 + +### Fixed + +- **🔧 KaTeX Rendering Improvement**: Resolved specific corner cases in KaTeX rendering to enhance the display of complex mathematical notation. +- **📞 'Call' URL Parameter Fix**: Corrected functionality for 'call' URL search parameter ensuring reliable activation of voice calls through URL triggers. +- **🔄 Configuration Reset Fix**: Fixed the RESET_CONFIG_ON_START to ensure settings revert to default correctly upon each startup, improving reliability in configuration management. +- **🌍 Filter Outlet Hook Fix**: Addressed issues in the filter outlet hook, ensuring all filter functions operate as intended. + +## [0.3.28] - 2024-09-24 + +### Fixed + +- **🔍 Web Search Functionality**: Corrected an issue where the web search option was not functioning properly. + +## [0.3.27] - 2024-09-24 + +### Fixed + +- **🔄 Periodic Cleanup Error Resolved**: Fixed a critical RuntimeError related to the 'periodic_usage_pool_cleanup' coroutine, ensuring smooth and efficient performance post-pip install, correcting a persisting issue from version 0.3.26. +- **📊 Enhanced LaTeX Rendering**: Improved rendering for LaTeX content, enhancing clarity and visual presentation in documents and mathematical models. + +## [0.3.26] - 2024-09-24 + +### Fixed + +- **🔄 Event Loop Error Resolution**: Addressed a critical error where a missing running event loop caused 'periodic_usage_pool_cleanup' to fail with pip installs. This fix ensures smoother and more reliable updates and installations, enhancing overall system stability. + +## [0.3.25] - 2024-09-24 + +### Fixed + +- **🖼️ Image Generation Functionality**: Resolved an issue where image generation was not functioning, restoring full capability for visual content creation. +- **⚖️ Rate Response Corrections**: Addressed a problem where rate responses were not working, ensuring reliable feedback mechanisms are operational. + +## [0.3.24] - 2024-09-24 + +### Added + +- **🚀 Rendering Optimization**: Significantly improved message rendering performance, enhancing user experience and webui responsiveness. +- **💖 Favorite Response Feature in Chat Overview**: Users can now mark responses as favorite directly from the chat overview, enhancing ease of retrieval and organization of preferred responses. +- **💬 Create Message Pairs with Shortcut**: Implemented creation of new message pairs using Cmd/Ctrl+Shift+Enter, making conversation editing faster and more intuitive. +- **🌍 Expanded User Prompt Variables**: Added weekday, timezone, and language information variables to user prompts to match system prompt variables. +- **🎵 Enhanced Audio Support**: Now includes support for 'audio/x-m4a' files, broadening compatibility with audio content within the platform. +- **🔏 Model URL Search Parameter**: Added an ability to select a model directly via URL parameters, streamlining navigation and model access. +- **📄 Enhanced PDF Citations**: PDF citations now open at the associated page, streamlining reference checks and document handling. +- **🔧Use of Redis in Sockets**: Enhanced socket implementation to fully support Redis, enabling effective stateless instances suitable for scalable load balancing. +- **🌍 Stream Individual Model Responses**: Allows specific models to have individualized streaming settings, enhancing performance and customization. +- **🕒 Display Model Hash and Last Modified Timestamp for Ollama Models**: Provides critical model details directly in the Models workspace for enhanced tracking. +- **❗ Update Info Notification for Admins**: Ensures administrators receive immediate updates upon login, keeping them informed of the latest changes and system statuses. + +### Fixed + +- **🗑️ Temporary File Handling On Windows**: Fixed an issue causing errors when accessing a temporary file being used by another process, Tools & Functions should now work as intended. +- **🔓 Authentication Toggle Issue**: Resolved the malfunction where setting 'WEBUI_AUTH=False' did not appropriately disable authentication, ensuring that user experience and system security settings function as configured. +- **🔧 Save As Copy Issue for Many Model Chats**: Resolved an error preventing users from save messages as copies in many model chats. +- **🔒 Sidebar Closure on Mobile**: Resolved an issue where the mobile sidebar remained open after menu engagement, improving user interface responsivity and comfort. +- **🛡️ Tooltip XSS Vulnerability**: Resolved a cross-site scripting (XSS) issue within tooltips, ensuring enhanced security and data integrity during user interactions. + +### Changed + +- **↩️ Deprecated Interface Stream Response Settings**: Moved to advanced parameters to streamline interface settings and enhance user clarity. +- **⚙️ Renamed 'speedRate' to 'playbackRate'**: Standardizes terminology, improving usability and understanding in media settings. + +## [0.3.23] - 2024-09-21 + +### Added + +- **🚀 WebSocket Redis Support**: Enhanced load balancing capabilities for multiple instance setups, promoting better performance and reliability in WebUI. +- **🔧 Adjustable Chat Controls**: Introduced width-adjustable chat controls, enabling a personalized and more comfortable user interface. +- **🌎 i18n Updates**: Improved and updated the Chinese translations. + +### Fixed + +- **🌐 Task Model Unloading Issue**: Modified task handling to use the Ollama /api/chat endpoint instead of OpenAI compatible endpoint, ensuring models stay loaded and ready with custom parameters, thus minimizing delays in task execution. +- **📝 Title Generation Fix for OpenAI Compatible APIs**: Resolved an issue preventing the generation of titles, enhancing consistency and reliability when using multiple API providers. +- **🗃️ RAG Duplicate Collection Issue**: Fixed a bug causing repeated processing of the same uploaded file. Now utilizes indexed files to prevent unnecessary duplications, optimizing resource usage. +- **🖼️ Image Generation Enhancement**: Refactored OpenAI image generation endpoint to be asynchronous, preventing the WebUI from becoming unresponsive during processing, thus enhancing user experience. +- **🔓 Downgrade Authlib**: Reverted Authlib to version 1.3.1 to address and resolve issues concerning OAuth functionality. + +### Changed + +- **🔍 Improved Message Interaction**: Enhanced the message node interface to allow for easier focus redirection with a simple click, streamlining user interaction. +- **✨ Styling Refactor**: Updated WebUI styling for a cleaner, more modern look, enhancing user experience across the platform. + +## [0.3.22] - 2024-09-19 + +### Added + +- **⭐ Chat Overview**: Introducing a node-based interactive messages diagram for improved visualization of conversation flows. +- **🔗 Multiple Vector DB Support**: Now supports multiple vector databases, including the newly added Milvus support. Community contributions for additional database support are highly encouraged! +- **📡 Experimental Non-Stream Chat Completion**: Experimental feature allowing the use of OpenAI o1 models, which do not support streaming, ensuring more versatile model deployment. +- **🔍 Experimental Colbert-AI Reranker Integration**: Added support for "jinaai/jina-colbert-v2" as a reranker, enhancing search relevance and accuracy. Note: it may not function at all on low-spec computers. +- **🕸️ ENABLE_WEBSOCKET_SUPPORT**: Added environment variable for instances to ignore websocket upgrades, stabilizing connections on platforms with websocket issues. +- **🔊 Azure Speech Service Integration**: Added support for Azure Speech services for Text-to-Speech (TTS). +- **🎚️ Customizable Playback Speed**: Playback speed control is now available in Call mode settings, allowing users to adjust audio playback speed to their preferences. +- **🧠 Enhanced Error Messaging**: System now displays helpful error messages directly to users during chat completion issues. +- **📂 Save Model as Transparent PNG**: Model profile images are now saved as PNGs, supporting transparency and improving visual integration. +- **📱 iPhone Compatibility Adjustments**: Added padding to accommodate the iPhone navigation bar, improving UI display on these devices. +- **🔗 Secure Response Headers**: Implemented security response headers, bolstering web application security. +- **🔧 Enhanced AUTOMATIC1111 Settings**: Users can now configure 'CFG Scale', 'Sampler', and 'Scheduler' parameters directly in the admin settings, enhancing workflow flexibility without source code modifications. +- **🌍 i18n Updates**: Enhanced translations for Chinese, Ukrainian, Russian, and French, fostering a better localized experience. + +### Fixed + +- **🛠️ Chat Message Deletion**: Resolved issues with chat message deletion, ensuring a smoother user interaction and system stability. +- **🔢 Ordered List Numbering**: Fixed the incorrect ordering in lists. + +### Changed + +- **🎨 Transparent Icon Handling**: Allowed model icons to be displayed on transparent backgrounds, improving UI aesthetics. +- **📝 Improved RAG Template**: Enhanced Retrieval-Augmented Generation template, optimizing context handling and error checking for more precise operation. + +## [0.3.21] - 2024-09-08 + +### Added + +- **📊 Document Count Display**: Now displays the total number of documents directly within the dashboard. +- **🚀 Ollama Embed API Endpoint**: Enabled /api/embed endpoint proxy support. + +### Fixed + +- **🐳 Docker Launch Issue**: Resolved the problem preventing Open-WebUI from launching correctly when using Docker. + +### Changed + +- **🔍 Enhanced Search Prompts**: Improved the search query generation prompts for better accuracy and user interaction, enhancing the overall search experience. + +## [0.3.20] - 2024-09-07 + +### Added + +- **🌐 Translation Update**: Updated Catalan translations to improve user experience for Catalan speakers. + +### Fixed + +- **📄 PDF Download**: Resolved a configuration issue with fonts directory, ensuring PDFs are now downloaded with the correct formatting. +- **🛠️ Installation of Tools & Functions Requirements**: Fixed a bug where necessary requirements for tools and functions were not properly installing. +- **🔗 Inline Image Link Rendering**: Enabled rendering of images directly from links in chat. +- **📞 Post-Call User Interface Cleanup**: Adjusted UI behavior to automatically close chat controls after a voice call ends, reducing screen clutter. +- **🎙️ Microphone Deactivation Post-Call**: Addressed an issue where the microphone remained active after calls. +- **✍️ Markdown Spacing Correction**: Corrected spacing in Markdown rendering, ensuring text appears neatly and as expected. +- **🔄 Message Re-rendering**: Fixed an issue causing all response messages to re-render with each new message, now improving chat performance. + +### Changed + +- **🌐 Refined Web Search Integration**: Deprecated the Search Query Generation Prompt threshold; introduced a toggle button for "Enable Web Search Query Generation" allowing users to opt-in to using web search more judiciously. +- **📝 Default Prompt Templates Update**: Emptied environment variable templates for search and title generation now default to the Open WebUI default prompt templates, simplifying configuration efforts. + +## [0.3.19] - 2024-09-05 + +### Added + +- **🌐 Translation Update**: Improved Chinese translations. + +### Fixed + +- **📂 DATA_DIR Overriding**: Fixed an issue to avoid overriding DATA_DIR, preventing errors when directories are set identically, ensuring smoother operation and data management. +- **🛠️ Frontmatter Extraction**: Fixed the extraction process for frontmatter in tools and functions. + +### Changed + +- **🎨 UI Styling**: Refined the user interface styling for enhanced visual coherence and user experience. + +## [0.3.18] - 2024-09-04 + +### Added + +- **🛠️ Direct Database Execution for Tools & Functions**: Enhanced the execution of Python files for tools and functions, now directly loading from the database for a more streamlined backend process. + +### Fixed + +- **🔄 Automatic Rewrite of Import Statements in Tools & Functions**: Tool and function scripts that import 'utils', 'apps', 'main', 'config' will now automatically rename these with 'open_webui.', ensuring compatibility and consistency across different modules. +- **🎨 Styling Adjustments**: Minor fixes in the visual styling to improve user experience and interface consistency. + +## [0.3.17] - 2024-09-04 + +### Added + +- **🔄 Import/Export Configuration**: Users can now import and export webui configurations from admin settings > Database, simplifying setup replication across systems. +- **🌍 Web Search via URL Parameter**: Added support for activating web search directly through URL by setting 'web-search=true'. +- **🌐 SearchApi Integration**: Added support for SearchApi as an alternative web search provider, enhancing search capabilities within the platform. +- **🔍 Literal Type Support in Tools**: Tools now support the Literal type. +- **🌍 Updated Translations**: Improved translations for Chinese, Ukrainian, and Catalan. + +### Fixed + +- **🔧 Pip Install Issue**: Resolved the issue where pip install failed due to missing 'alembic.ini', ensuring smoother installation processes. +- **🌃 Automatic Theme Update**: Fixed an issue where the color theme did not update dynamically with system changes. +- **🛠️ User Agent in ComfyUI**: Added default headers in ComfyUI to fix access issues, improving reliability in network communications. +- **🔄 Missing Chat Completion Response Headers**: Ensured proper return of proxied response headers during chat completion, improving API reliability. +- **🔗 Websocket Connection Prioritization**: Modified socket.io configuration to prefer websockets and more reliably fallback to polling, enhancing connection stability. +- **🎭 Accessibility Enhancements**: Added missing ARIA labels for buttons, improving accessibility for visually impaired users. +- **⚖️ Advanced Parameter**: Fixed an issue ensuring that advanced parameters are correctly applied in all scenarios, ensuring consistent behavior of user-defined settings. + +### Changed + +- **🔁 Namespace Reorganization**: Reorganized all Python files under the 'open_webui' namespace to streamline the project structure and improve maintainability. Tools and functions importing from 'utils' should now use 'open_webui.utils'. +- **🚧 Dependency Updates**: Updated several backend dependencies like 'aiohttp', 'authlib', 'duckduckgo-search', 'flask-cors', and 'langchain' to their latest versions, enhancing performance and security. + +## [0.3.16] - 2024-08-27 + +### Added + +- **🚀 Config DB Migration**: Migrated configuration handling from config.json to the database, enabling high-availability setups and load balancing across multiple Open WebUI instances. +- **🔗 Call Mode Activation via URL**: Added a 'call=true' URL search parameter enabling direct shortcuts to activate call mode, enhancing user interaction on mobile devices. +- **✨ TTS Content Control**: Added functionality to control how message content is segmented for Text-to-Speech (TTS) generation requests, allowing for more flexible speech output options. +- **😄 Show Knowledge Search Status**: Enhanced model usage transparency by displaying status when working with knowledge-augmented models, helping users understand the system's state during queries. +- **👆 Click-to-Copy for Codespan**: Enhanced interactive experience in the WebUI by allowing users to click to copy content from code spans directly. +- **🚫 API User Blocking via Model Filter**: Introduced the ability to block API users based on customized model filters, enhancing security and control over API access. +- **🎬 Call Overlay Styling**: Adjusted call overlay styling on large screens to not cover the entire interface, but only the chat control area, for a more unobtrusive interaction experience. + +### Fixed + +- **🔧 LaTeX Rendering Issue**: Addressed an issue that affected the correct rendering of LaTeX. +- **📁 File Leak Prevention**: Resolved the issue of uploaded files mistakenly being accessible across user chats. +- **🔧 Pipe Functions with '**files**' Param**: Fixed issues with '**files**' parameter not functioning correctly in pipe functions. +- **📝 Markdown Processing for RAG**: Fixed issues with processing Markdown in files. +- **🚫 Duplicate System Prompts**: Fixed bugs causing system prompts to duplicate. + +### Changed + +- **🔋 Wakelock Permission**: Optimized the activation of wakelock to only engage during call mode, conserving device resources and improving battery performance during idle periods. +- **🔍 Content-Type for Ollama Chats**: Added 'application/x-ndjson' content-type to '/api/chat' endpoint responses to match raw Ollama responses. +- **✋ Disable Signups Conditionally**: Implemented conditional logic to disable sign-ups when 'ENABLE_LOGIN_FORM' is set to false. + +## [0.3.15] - 2024-08-21 + +### Added + +- **🔗 Temporary Chat Activation**: Integrated a new URL parameter 'temporary-chat=true' to enable temporary chat sessions directly through the URL. +- **🌄 ComfyUI Seed Node Support**: Introduced seed node support in ComfyUI for image generation, allowing users to specify node IDs for randomized seed assignment. + +### Fixed + +- **🛠️ Tools and Functions**: Resolved a critical issue where Tools and Functions were not properly functioning, restoring full capability and reliability to these essential features. +- **🔘 Chat Action Button in Many Model Chat**: Fixed the malfunctioning of chat action buttons in many model chat environments, ensuring a smoother and more responsive user interaction. +- **⏪ Many Model Chat Compatibility**: Restored backward compatibility for many model chats. + +## [0.3.14] - 2024-08-21 + +### Added + +- **🛠️ Custom ComfyUI Workflow**: Deprecating several older environment variables, this enhancement introduces a new, customizable workflow for a more tailored user experience. +- **🔀 Merge Responses in Many Model Chat**: Enhances the dialogue by merging responses from multiple models into a single, coherent reply, improving the interaction quality in many model chats. +- **✅ Multiple Instances of Same Model in Chats**: Enhanced many model chat to support adding multiple instances of the same model. +- **🔧 Quick Actions in Model Workspace**: Enhanced Shift key quick actions for hiding/unhiding and deleting models, facilitating a smoother workflow. +- **🗨️ Markdown Rendering in User Messages**: User messages are now rendered in Markdown, enhancing readability and interaction. +- **💬 Temporary Chat Feature**: Introduced a temporary chat feature, deprecating the old chat history setting to enhance user interaction flexibility. +- **🖋️ User Message Editing**: Enhanced the user chat editing feature to allow saving changes without sending, providing more flexibility in message management. +- **🛡️ Security Enhancements**: Various security improvements implemented across the platform to ensure safer user experiences. +- **🌍 Updated Translations**: Enhanced translations for Chinese, Ukrainian, and Bahasa Malaysia, improving localization and user comprehension. + +### Fixed + +- **📑 Mermaid Rendering Issue**: Addressed issues with Mermaid chart rendering to ensure clean and clear visual data representation. +- **🎭 PWA Icon Maskability**: Fixed the Progressive Web App icon to be maskable, ensuring proper display on various device home screens. +- **🔀 Cloned Model Chat Freezing Issue**: Fixed a bug where cloning many model chats would cause freezing, enhancing stability and responsiveness. +- **🔍 Generic Error Handling and Refinements**: Various minor fixes and refinements to address previously untracked issues, ensuring smoother operations. + +### Changed + +- **🖼️ Image Generation Refactor**: Overhauled image generation processes for improved efficiency and quality. +- **🔨 Refactor Tool and Function Calling**: Refactored tool and function calling mechanisms for improved clarity and maintainability. +- **🌐 Backend Library Updates**: Updated critical backend libraries including SQLAlchemy, uvicorn[standard], faster-whisper, bcrypt, and boto3 for enhanced performance and security. + +### Removed + +- **🚫 Deprecated ComfyUI Environment Variables**: Removed several outdated environment variables related to ComfyUI settings, simplifying configuration management. + +## [0.3.13] - 2024-08-14 + +### Added + +- **🎨 Enhanced Markdown Rendering**: Significant improvements in rendering markdown, ensuring smooth and reliable display of LaTeX and Mermaid charts, enhancing user experience with more robust visual content. +- **🔄 Auto-Install Tools & Functions Python Dependencies**: For 'Tools' and 'Functions', Open WebUI now automatically install extra python requirements specified in the frontmatter, streamlining setup processes and customization. +- **🌀 OAuth Email Claim Customization**: Introduced an 'OAUTH_EMAIL_CLAIM' variable to allow customization of the default "email" claim within OAuth configurations, providing greater flexibility in authentication processes. +- **📶 Websocket Reconnection**: Enhanced reliability with the capability to automatically reconnect when a websocket is closed, ensuring consistent and stable communication. +- **🤳 Haptic Feedback on Support Devices**: Android devices now support haptic feedback for an immersive tactile experience during certain interactions. + +### Fixed + +- **🛠️ ComfyUI Performance Improvement**: Addressed an issue causing FastAPI to stall when ComfyUI image generation was active; now runs in a separate thread to prevent UI unresponsiveness. +- **🔀 Session Handling**: Fixed an issue mandating session_id on client-side to ensure smoother session management and transitions. +- **🖋️ Minor Bug Fixes and Format Corrections**: Various minor fixes including typo corrections, backend formatting improvements, and test amendments enhancing overall system stability and performance. + +### Changed + +- **🚀 Migration to SvelteKit 2**: Upgraded the underlying framework to SvelteKit version 2, offering enhanced speed, better code structure, and improved deployment capabilities. +- **🧹 General Cleanup and Refactoring**: Performed broad cleanup and refactoring across the platform, improving code efficiency and maintaining high standards of code health. +- **🚧 Integration Testing Improvements**: Modified how Cypress integration tests detect chat messages and updated sharing tests for better reliability and accuracy. +- **📁 Standardized '.safetensors' File Extension**: Renamed the '.sft' file extension to '.safetensors' for ComfyUI workflows, standardizing file formats across the platform. + +### Removed + +- **🗑️ Deprecated Frontend Functions**: Removed frontend functions that were migrated to backend to declutter the codebase and reduce redundancy. + +## [0.3.12] - 2024-08-07 + +### Added + +- **🔄 Sidebar Infinite Scroll**: Added an infinite scroll feature in the sidebar for more efficient chat navigation, reducing load times and enhancing user experience. +- **🚀 Enhanced Markdown Rendering**: Support for rendering all code blocks and making images clickable for preview; codespan styling is also enhanced to improve readability and user interaction. +- **🔒 Admin Shared Chat Visibility**: Admins no longer have default visibility over shared chats when ENABLE_ADMIN_CHAT_ACCESS is set to false, tightening security and privacy settings for users. +- **🌍 Language Updates**: Added Malay (Bahasa Malaysia) translation and updated Catalan and Traditional Chinese translations to improve accessibility for more users. + +### Fixed + +- **📊 Markdown Rendering Issues**: Resolved issues with markdown rendering to ensure consistent and correct display across components. +- **🛠️ Styling Issues**: Multiple fixes applied to styling throughout the application, improving the overall visual experience and interface consistency. +- **🗃️ Modal Handling**: Fixed an issue where modals were not closing correctly in various model chat scenarios, enhancing usability and interface reliability. +- **📄 Missing OpenAI Usage Information**: Resolved issues where usage statistics for OpenAI services were not being correctly displayed, ensuring users have access to crucial data for managing and monitoring their API consumption. +- **🔧 Non-Streaming Support for Functions Plugin**: Fixed a functionality issue with the Functions plugin where non-streaming operations were not functioning as intended, restoring full capabilities for async and sync integration within the platform. +- **🔄 Environment Variable Type Correction (COMFYUI_FLUX_FP8_CLIP)**: Corrected the data type of the 'COMFYUI_FLUX_FP8_CLIP' environment variable from string to boolean, ensuring environment settings apply correctly and enhance configuration management. + +### Changed + +- **🔧 Backend Dependency Updates**: Updated several backend dependencies such as boto3, pypdf, python-pptx, validators, and black, ensuring up-to-date security and performance optimizations. + +## [0.3.11] - 2024-08-02 + +### Added + +- **📊 Model Information Display**: Added visuals for model selection, including images next to model names for more intuitive navigation. +- **🗣 ElevenLabs Voice Adaptations**: Voice enhancements including support for ElevenLabs voice ID by name for personalized vocal interactions. +- **⌨️ Arrow Keys Model Selection**: Users can now use arrow keys for quicker model selection, enhancing accessibility. +- **🔍 Fuzzy Search in Model Selector**: Enhanced model selector with fuzzy search to locate models swiftly, including descriptions. +- **🕹️ ComfyUI Flux Image Generation**: Added support for the new Flux image gen model; introduces environment controls like weight precision and CLIP model options in Settings. +- **💾 Display File Size for Uploads**: Enhanced file interface now displays file size, preparing for upcoming upload restrictions. +- **🎚️ Advanced Params "Min P"**: Added 'Min P' parameter in the advanced settings for customized model precision control. +- **🔒 Enhanced OAuth**: Introduced custom redirect URI support for OAuth behind reverse proxies, enabling safer authentication processes. +- **🖥 Enhanced Latex Rendering**: Adjustments made to latex rendering processes, now accurately detecting and presenting latex inputs from text. +- **🌐 Internationalization**: Enhanced with new Romanian and updated Vietnamese and Ukrainian translations, helping broaden accessibility for international users. + +### Fixed + +- **🔧 Tags Handling in Document Upload**: Tags are now properly sent to the upload document handler, resolving issues with missing metadata. +- **🖥️ Sensitive Input Fields**: Corrected browser misinterpretation of secure input fields, preventing misclassification as password fields. +- **📂 Static Path Resolution in PDF Generation**: Fixed static paths that adjust dynamically to prevent issues across various environments. + +### Changed + +- **🎨 UI/UX Styling Enhancements**: Multiple minor styling updates for a cleaner and more intuitive user interface. +- **🚧 Refactoring Various Components**: Numerous refactoring changes across styling, file handling, and function simplifications for clarity and performance. +- **🎛️ User Valves Management**: Moved user valves from settings to direct chat controls for more user-friendly access during interactions. + +### Removed + +- **⚙️ Health Check Logging**: Removed verbose logging from the health checking processes to declutter logs and improve backend performance. + +## [0.3.10] - 2024-07-17 + +### Fixed + +- **🔄 Improved File Upload**: Addressed the issue where file uploads lacked animation. +- **💬 Chat Continuity**: Fixed a problem where existing chats were not functioning properly in some instances. +- **🗂️ Chat File Reset**: Resolved the issue of chat files not resetting for new conversations, now ensuring a clean slate for each chat session. +- **📁 Document Workspace Uploads**: Corrected the handling of document uploads in the workspace using the Files API. + +## [0.3.9] - 2024-07-17 + +### Added + +- **📁 Files Chat Controls**: We've reverted to the old file handling behavior where uploaded files are always included. You can now manage files directly within the chat controls section, giving you the ability to remove files as needed. +- **🔧 "Action" Function Support**: Introducing a new "Action" function to write custom buttons to the message toolbar. This feature enables more interactive messaging, with documentation coming soon. +- **📜 Citations Handling**: For newly uploaded files in documents workspace, citations will now display the actual filename. Additionally, you can click on these filenames to open the file in a new tab for easier access. +- **🛠️ Event Emitter and Call Updates**: Enhanced 'event_emitter' to allow message replacement and 'event_call' to support text input for Tools and Functions. Detailed documentation will be provided shortly. +- **🎨 Styling Refactor**: Various styling updates for a cleaner and more cohesive user interface. +- **🌐 Enhanced Translations**: Improved translations for Catalan, Ukrainian, and Brazilian Portuguese. + +### Fixed + +- **🔧 Chat Controls Priority**: Resolved an issue where Chat Controls values were being overridden by model information parameters. The priority is now Chat Controls, followed by Global Settings, then Model Settings. +- **🪲 Debug Logs**: Fixed an issue where debug logs were not being logged properly. +- **🔑 Automatic1111 Auth Key**: The auth key for Automatic1111 is no longer required. +- **📝 Title Generation**: Ensured that the title generation runs only once, even when multiple models are in a chat. +- **✅ Boolean Values in Params**: Added support for boolean values in parameters. +- **🖼️ Files Overlay Styling**: Fixed the styling issue with the files overlay. + +### Changed + +- **⬆️ Dependency Updates** + - Upgraded 'pydantic' from version 2.7.1 to 2.8.2. + - Upgraded 'sqlalchemy' from version 2.0.30 to 2.0.31. + - Upgraded 'unstructured' from version 0.14.9 to 0.14.10. + - Upgraded 'chromadb' from version 0.5.3 to 0.5.4. + +## [0.3.8] - 2024-07-09 + +### Added + +- **💬 Chat Controls**: Easily adjust parameters for each chat session, offering more precise control over your interactions. +- **📌 Pinned Chats**: Support for pinned chats, allowing you to keep important conversations easily accessible. +- **📄 Apache Tika Integration**: Added support for using Apache Tika as a document loader, enhancing document processing capabilities. +- **🛠️ Custom Environment for OpenID Claims**: Allows setting custom claims for OpenID, providing more flexibility in user authentication. +- **🔧 Enhanced Tools & Functions API**: Introduced 'event_emitter' and 'event_call', now you can also add citations for better documentation and tracking. Detailed documentation will be provided on our documentation website. +- **↔️ Sideways Scrolling in Settings**: Settings tabs container now supports horizontal scrolling for easier navigation. +- **🌑 Darker OLED Theme**: Includes a new, darker OLED theme and improved styling for the light theme, enhancing visual appeal. +- **🌐 Language Updates**: Updated translations for Indonesian, German, French, and Catalan languages, expanding accessibility. + +### Fixed + +- **⏰ OpenAI Streaming Timeout**: Resolved issues with OpenAI streaming response using the 'AIOHTTP_CLIENT_TIMEOUT' setting, ensuring reliable performance. +- **💡 User Valves**: Fixed malfunctioning user valves, ensuring proper functionality. +- **🔄 Collapsible Components**: Addressed issues with collapsible components not working, restoring expected behavior. + +### Changed + +- **🗃️ Database Backend**: Switched from Peewee to SQLAlchemy for improved concurrency support, enhancing database performance. +- **⬆️ ChromaDB Update**: Upgraded to version 0.5.3. Ensure your remote ChromaDB instance matches this version. +- **🔤 Primary Font Styling**: Updated primary font to Archivo for better visual consistency. +- **🔄 Font Change for Windows**: Replaced Arimo with Inter font for Windows users, improving readability. +- **🚀 Lazy Loading**: Implemented lazy loading for 'faster_whisper' and 'sentence_transformers' to reduce startup memory usage. +- **📋 Task Generation Payload**: Task generations now include only the "task" field in the body instead of "title". + +## [0.3.7] - 2024-06-29 + +### Added + +- **🌐 Enhanced Internationalization (i18n)**: Newly introduced Indonesian translation, and updated translations for Turkish, Chinese, and Catalan languages to improve user accessibility. + +### Fixed + +- **🕵️‍♂️ Browser Language Detection**: Corrected the issue where the application was not properly detecting and adapting to the browser's language settings. +- **🔐 OIDC Admin Role Assignment**: Fixed a bug where the admin role was not being assigned to the first user who signed up via OpenID Connect (OIDC). +- **💬 Chat/Completions Endpoint**: Resolved an issue where the chat/completions endpoint was non-functional when the stream option was set to False. +- **🚫 'WEBUI_AUTH' Configuration**: Addressed the problem where setting 'WEBUI_AUTH' to False was not being applied correctly. + +### Changed + +- **📦 Dependency Update**: Upgraded 'authlib' from version 1.3.0 to 1.3.1 to ensure better security and performance enhancements. + +## [0.3.6] - 2024-06-27 + +### Added + +- **✨ "Functions" Feature**: You can now utilize "Functions" like filters (middleware) and pipe (model) functions directly within the WebUI. While largely compatible with Pipelines, these native functions can be executed easily within Open WebUI. Example use cases for filter functions include usage monitoring, real-time translation, moderation, and automemory. For pipe functions, the scope ranges from Cohere and Anthropic integration directly within Open WebUI, enabling "Valves" for per-user OpenAI API key usage, and much more. If you encounter issues, SAFE_MODE has been introduced. +- **📁 Files API**: Compatible with OpenAI, this feature allows for custom Retrieval-Augmented Generation (RAG) in conjunction with the Filter Function. More examples will be shared on our community platform and official documentation website. +- **🛠️ Tool Enhancements**: Tools now support citations and "Valves". Documentation will be available shortly. +- **🔗 Iframe Support via Files API**: Enables rendering HTML directly into your chat interface using functions and tools. Use cases include playing games like DOOM and Snake, displaying a weather applet, and implementing Anthropic "artifacts"-like features. Stay tuned for updates on our community platform and documentation. +- **🔒 Experimental OAuth Support**: New experimental OAuth support. Check our documentation for more details. +- **🖼️ Custom Background Support**: Set a custom background from Settings > Interface to personalize your experience. +- **🔑 AUTOMATIC1111_API_AUTH Support**: Enhanced security for the AUTOMATIC1111 API. +- **🎨 Code Highlight Optimization**: Improved code highlighting features. +- **🎙️ Voice Interruption Feature**: Reintroduced and now toggleable from Settings > Interface. +- **💤 Wakelock API**: Now in use to prevent screen dimming during important tasks. +- **🔐 API Key Privacy**: All API keys are now hidden by default for better security. +- **🔍 New Web Search Provider**: Added jina_search as a new option. +- **🌐 Enhanced Internationalization (i18n)**: Improved Korean translation and updated Chinese and Ukrainian translations. + +### Fixed + +- **🔧 Conversation Mode Issue**: Fixed the issue where Conversation Mode remained active after being removed from settings. +- **📏 Scroll Button Obstruction**: Resolved the issue where the scrollToBottom button container obstructed clicks on buttons beneath it. + +### Changed + +- **⏲️ AIOHTTP_CLIENT_TIMEOUT**: Now set to 'None' by default for improved configuration flexibility. +- **📞 Voice Call Enhancements**: Improved by skipping code blocks and expressions during calls. +- **🚫 Error Message Handling**: Disabled the continuation of operations with error messages. +- **🗂️ Playground Relocation**: Moved the Playground from the workspace to the user menu for better user experience. + +## [0.3.5] - 2024-06-16 + +### Added + +- **📞 Enhanced Voice Call**: Text-to-speech (TTS) callback now operates in real-time for each sentence, reducing latency by not waiting for full completion. +- **👆 Tap to Interrupt**: During a call, you can now stop the assistant from speaking by simply tapping, instead of using voice. This resolves the issue of the speaker's voice being mistakenly registered as input. +- **😊 Emoji Call**: Toggle this feature on from the Settings > Interface, allowing LLMs to express emotions using emojis during voice calls for a more dynamic interaction. +- **🖱️ Quick Archive/Delete**: Use the Shift key + mouseover on the chat list to swiftly archive or delete items. +- **📝 Markdown Support in Model Descriptions**: You can now format model descriptions with markdown, enabling bold text, links, etc. +- **🧠 Editable Memories**: Adds the capability to modify memories. +- **📋 Admin Panel Sorting**: Introduces the ability to sort users/chats within the admin panel. +- **🌑 Dark Mode for Quick Selectors**: Dark mode now available for chat quick selectors (prompts, models, documents). +- **🔧 Advanced Parameters**: Adds 'num_keep' and 'num_batch' to advanced parameters for customization. +- **📅 Dynamic System Prompts**: New variables '{{CURRENT_DATETIME}}', '{{CURRENT_TIME}}', '{{USER_LOCATION}}' added for system prompts. Ensure '{{USER_LOCATION}}' is toggled on from Settings > Interface. +- **🌐 Tavily Web Search**: Includes Tavily as a web search provider option. +- **🖊️ Federated Auth Usernames**: Ability to set user names for federated authentication. +- **🔗 Auto Clean URLs**: When adding connection URLs, trailing slashes are now automatically removed. +- **🌐 Enhanced Translations**: Improved Chinese and Swedish translations. + +### Fixed + +- **⏳ AIOHTTP_CLIENT_TIMEOUT**: Introduced a new environment variable 'AIOHTTP_CLIENT_TIMEOUT' for requests to Ollama lasting longer than 5 minutes. Default is 300 seconds; set to blank ('') for no timeout. +- **❌ Message Delete Freeze**: Resolved an issue where message deletion would sometimes cause the web UI to freeze. + +## [0.3.4] - 2024-06-12 + +### Fixed + +- **🔒 Mixed Content with HTTPS Issue**: Resolved a problem where mixed content (HTTP and HTTPS) was causing security warnings and blocking resources on HTTPS sites. +- **🔍 Web Search Issue**: Addressed the problem where web search functionality was not working correctly. The 'ENABLE_RAG_LOCAL_WEB_FETCH' option has been reintroduced to restore proper web searching capabilities. +- **💾 RAG Template Not Being Saved**: Fixed an issue where the RAG template was not being saved correctly, ensuring your custom templates are now preserved as expected. + +## [0.3.3] - 2024-06-12 + +### Added + +- **🛠️ Native Python Function Calling**: Introducing native Python function calling within Open WebUI. We’ve also included a built-in code editor to seamlessly develop and integrate function code within the 'Tools' workspace. With this, you can significantly enhance your LLM’s capabilities by creating custom RAG pipelines, web search tools, and even agent-like features such as sending Discord messages. +- **🌐 DuckDuckGo Integration**: Added DuckDuckGo as a web search provider, giving you more search options. +- **🌏 Enhanced Translations**: Improved translations for Vietnamese and Chinese languages, making the interface more accessible. + +### Fixed + +- **🔗 Web Search URL Error Handling**: Fixed the issue where a single URL error would disrupt the data loading process in Web Search mode. Now, such errors will be handled gracefully to ensure uninterrupted data loading. +- **🖥️ Frontend Responsiveness**: Resolved the problem where the frontend would stop responding if the backend encounters an error while downloading a model. Improved error handling to maintain frontend stability. +- **🔧 Dependency Issues in pip**: Fixed issues related to pip installations, ensuring all dependencies are correctly managed to prevent installation errors. + +## [0.3.2] - 2024-06-10 + +### Added + +- **🔍 Web Search Query Status**: The web search query will now persist in the results section to aid in easier debugging and tracking of search queries. +- **🌐 New Web Search Provider**: We have added Serply as a new option for web search providers, giving you more choices for your search needs. +- **🌏 Improved Translations**: We've enhanced translations for Chinese and Portuguese. + +### Fixed + +- **🎤 Audio File Upload Issue**: The bug that prevented audio files from being uploaded in chat input has been fixed, ensuring smooth communication. +- **💬 Message Input Handling**: Improved the handling of message inputs by instantly clearing images and text after sending, along with immediate visual indications when a response message is loading, enhancing user feedback. +- **⚙️ Parameter Registration and Validation**: Fixed the issue where parameters were not registering in certain cases and addressed the problem where users were unable to save due to invalid input errors. + +## [0.3.1] - 2024-06-09 + +### Fixed + +- **💬 Chat Functionality**: Resolved the issue where chat functionality was not working for specific models. + +## [0.3.0] - 2024-06-09 + +### Added + +- **📚 Knowledge Support for Models**: Attach documents directly to models from the models workspace, enhancing the information available to each model. +- **🎙️ Hands-Free Voice Call Feature**: Initiate voice calls without needing to use your hands, making interactions more seamless. +- **📹 Video Call Feature**: Enable video calls with supported vision models like Llava and GPT-4o, adding a visual dimension to your communications. +- **🎛️ Enhanced UI for Voice Recording**: Improved user interface for the voice recording feature, making it more intuitive and user-friendly. +- **🌐 External STT Support**: Now support for external Speech-To-Text services, providing more flexibility in choosing your STT provider. +- **⚙️ Unified Settings**: Consolidated settings including document settings under a new admin settings section for easier management. +- **🌑 Dark Mode Splash Screen**: A new splash screen for dark mode, ensuring a consistent and visually appealing experience for dark mode users. +- **📥 Upload Pipeline**: Directly upload pipelines from the admin settings > pipelines section, streamlining the pipeline management process. +- **🌍 Improved Language Support**: Enhanced support for Chinese and Ukrainian languages, better catering to a global user base. + +### Fixed + +- **🛠️ Playground Issue**: Fixed the playground not functioning properly, ensuring a smoother user experience. +- **🔥 Temperature Parameter Issue**: Corrected the issue where the temperature value '0' was not being passed correctly. +- **📝 Prompt Input Clearing**: Resolved prompt input textarea not being cleared right away, ensuring a clean slate for new inputs. +- **✨ Various UI Styling Issues**: Fixed numerous user interface styling problems for a more cohesive look. +- **👥 Active Users Display**: Fixed active users showing active sessions instead of actual users, now reflecting accurate user activity. +- **🌐 Community Platform Compatibility**: The Community Platform is back online and fully compatible with Open WebUI. + +### Changed + +- **📝 RAG Implementation**: Updated the RAG (Retrieval-Augmented Generation) implementation to use a system prompt for context, instead of overriding the user's prompt. +- **🔄 Settings Relocation**: Moved Models, Connections, Audio, and Images settings to the admin settings for better organization. +- **✍️ Improved Title Generation**: Enhanced the default prompt for title generation, yielding better results. +- **🔧 Backend Task Management**: Tasks like title generation and search query generation are now managed on the backend side and controlled only by the admin. +- **🔍 Editable Search Query Prompt**: You can now edit the search query generation prompt, offering more control over how queries are generated. +- **📏 Prompt Length Threshold**: Set the prompt length threshold for search query generation from the admin settings, giving more customization options. +- **📣 Settings Consolidation**: Merged the Banners admin setting with the Interface admin setting for a more streamlined settings area. + +## [0.2.5] - 2024-06-05 + +### Added + +- **👥 Active Users Indicator**: Now you can see how many people are currently active and what they are running. This helps you gauge when performance might slow down due to a high number of users. +- **🗂️ Create Ollama Modelfile**: The option to create a modelfile for Ollama has been reintroduced in the Settings > Models section, making it easier to manage your models. +- **⚙️ Default Model Setting**: Added an option to set the default model from Settings > Interface. This feature is now easily accessible, especially convenient for mobile users as it was previously hidden. +- **🌐 Enhanced Translations**: We've improved the Chinese translations and added support for Turkmen and Norwegian languages to make the interface more accessible globally. + +### Fixed + +- **📱 Mobile View Improvements**: The UI now uses dvh (dynamic viewport height) instead of vh (viewport height), providing a better and more responsive experience for mobile users. + +## [0.2.4] - 2024-06-03 + +### Added + +- **👤 Improved Account Pending Page**: The account pending page now displays admin details by default to avoid confusion. You can disable this feature in the admin settings if needed. +- **🌐 HTTP Proxy Support**: We have enabled the use of the 'http_proxy' environment variable in OpenAI and Ollama API calls, making it easier to configure network settings. +- **❓ Quick Access to Documentation**: You can now easily access Open WebUI documents via a question mark button located at the bottom right corner of the screen (available on larger screens like PCs). +- **🌍 Enhanced Translation**: Improvements have been made to translations. + +### Fixed + +- **🔍 SearxNG Web Search**: Fixed the issue where the SearxNG web search functionality was not working properly. + +## [0.2.3] - 2024-06-03 + +### Added + +- **📁 Export Chat as JSON**: You can now export individual chats as JSON files from the navbar menu by navigating to 'Download > Export Chat'. This makes sharing specific conversations easier. +- **✏️ Edit Titles with Double Click**: Double-click on titles to rename them quickly and efficiently. +- **🧩 Batch Multiple Embeddings**: Introduced 'RAG_EMBEDDING_OPENAI_BATCH_SIZE' to process multiple embeddings in a batch, enhancing performance for large datasets. +- **🌍 Improved Translations**: Enhanced the translation quality across various languages for a better user experience. + +### Fixed + +- **🛠️ Modelfile Migration Script**: Fixed an issue where the modelfile migration script would fail if an invalid modelfile was encountered. +- **💬 Zhuyin Input Method on Mac**: Resolved an issue where using the Zhuyin input method in the Web UI on a Mac caused text to send immediately upon pressing the enter key, leading to incorrect input. +- **🔊 Local TTS Voice Selection**: Fixed the issue where the selected local Text-to-Speech (TTS) voice was not being displayed in settings. + +## [0.2.2] - 2024-06-02 + +### Added + +- **🌊 Mermaid Rendering Support**: We've included support for Mermaid rendering. This allows you to create beautiful diagrams and flowcharts directly within Open WebUI. +- **🔄 New Environment Variable 'RESET_CONFIG_ON_START'**: Introducing a new environment variable: 'RESET_CONFIG_ON_START'. Set this variable to reset your configuration settings upon starting the application, making it easier to revert to default settings. + +### Fixed + +- **🔧 Pipelines Filter Issue**: We've addressed an issue with the pipelines where filters were not functioning as expected. + +## [0.2.1] - 2024-06-02 + +### Added + +- **🖱️ Single Model Export Button**: Easily export models with just one click using the new single model export button. +- **🖥️ Advanced Parameters Support**: Added support for 'num_thread', 'use_mmap', and 'use_mlock' parameters for Ollama. +- **🌐 Improved Vietnamese Translation**: Enhanced Vietnamese language support for a better user experience for our Vietnamese-speaking community. + +### Fixed + +- **🔧 OpenAI URL API Save Issue**: Corrected a problem preventing the saving of OpenAI URL API settings. +- **🚫 Display Issue with Disabled Ollama API**: Fixed the display bug causing models to appear in settings when the Ollama API was disabled. + +### Changed + +- **💡 Versioning Update**: As a reminder from our previous update, version 0.2.y will focus primarily on bug fixes, while major updates will be designated as 0.x from now on for better version tracking. + +## [0.2.0] - 2024-06-01 + +### Added + +- **🔧 Pipelines Support**: Open WebUI now includes a plugin framework for enhanced customization and functionality (https://github.com/open-webui/pipelines). Easily add custom logic and integrate Python libraries, from AI agents to home automation APIs. +- **🔗 Function Calling via Pipelines**: Integrate function calling seamlessly through Pipelines. +- **⚖️ User Rate Limiting via Pipelines**: Implement user-specific rate limits to manage API usage efficiently. +- **📊 Usage Monitoring with Langfuse**: Track and analyze usage statistics with Langfuse integration through Pipelines. +- **🕒 Conversation Turn Limits**: Set limits on conversation turns to manage interactions better through Pipelines. +- **🛡️ Toxic Message Filtering**: Automatically filter out toxic messages to maintain a safe environment using Pipelines. +- **🔍 Web Search Support**: Introducing built-in web search capabilities via RAG API, allowing users to search using SearXNG, Google Programmatic Search Engine, Brave Search, serpstack, and serper. Activate it effortlessly by adding necessary variables from Document settings > Web Params. +- **🗂️ Models Workspace**: Create and manage model presets for both Ollama/OpenAI API. Note: The old Modelfiles workspace is deprecated. +- **🛠️ Model Builder Feature**: Build and edit all models with persistent builder mode. +- **🏷️ Model Tagging Support**: Organize models with tagging features in the models workspace. +- **📋 Model Ordering Support**: Effortlessly organize models by dragging and dropping them into the desired positions within the models workspace. +- **📈 OpenAI Generation Stats**: Access detailed generation statistics for OpenAI models. +- **📅 System Prompt Variables**: New variables added: '{{CURRENT_DATE}}' and '{{USER_NAME}}' for dynamic prompts. +- **📢 Global Banner Support**: Manage global banners from admin settings > banners. +- **🗃️ Enhanced Archived Chats Modal**: Search and export archived chats easily. +- **📂 Archive All Button**: Quickly archive all chats from settings > chats. +- **🌐 Improved Translations**: Added and improved translations for French, Croatian, Cebuano, and Vietnamese. + +### Fixed + +- **🔍 Archived Chats Visibility**: Resolved issue with archived chats not showing in the admin panel. +- **💬 Message Styling**: Fixed styling issues affecting message appearance. +- **🔗 Shared Chat Responses**: Corrected the issue where shared chat response messages were not readonly. +- **🖥️ UI Enhancement**: Fixed the scrollbar overlapping issue with the message box in the user interface. + +### Changed + +- **💾 User Settings Storage**: User settings are now saved on the backend, ensuring consistency across all devices. +- **📡 Unified API Requests**: The API request for getting models is now unified to '/api/models' for easier usage. +- **🔄 Versioning Update**: Our versioning will now follow the format 0.x for major updates and 0.x.y for patches. +- **📦 Export All Chats (All Users)**: Moved this functionality to the Admin Panel settings for better organization and accessibility. + +### Removed + +- **🚫 Bundled LiteLLM Support Deprecated**: Migrate your LiteLLM config.yaml to a self-hosted LiteLLM instance. LiteLLM can still be added via OpenAI Connections. Download the LiteLLM config.yaml from admin settings > database > export LiteLLM config.yaml. + +## [0.1.125] - 2024-05-19 + +### Added + +- **🔄 Updated UI**: Chat interface revamped with chat bubbles. Easily switch back to the old style via settings > interface > chat bubble UI. +- **📂 Enhanced Sidebar UI**: Model files, documents, prompts, and playground merged into Workspace for streamlined access. +- **🚀 Improved Many Model Interaction**: All responses now displayed simultaneously for a smoother experience. +- **🐍 Python Code Execution**: Execute Python code locally in the browser with libraries like 'requests', 'beautifulsoup4', 'numpy', 'pandas', 'seaborn', 'matplotlib', 'scikit-learn', 'scipy', 'regex'. +- **🧠 Experimental Memory Feature**: Manually input personal information you want LLMs to remember via settings > personalization > memory. +- **💾 Persistent Settings**: Settings now saved as config.json for convenience. +- **🩺 Health Check Endpoint**: Added for Docker deployment. +- **↕️ RTL Support**: Toggle chat direction via settings > interface > chat direction. +- **🖥️ PowerPoint Support**: RAG pipeline now supports PowerPoint documents. +- **🌐 Language Updates**: Ukrainian, Turkish, Arabic, Chinese, Serbian, Vietnamese updated; Punjabi added. + +### Changed + +- **👤 Shared Chat Update**: Shared chat now includes creator user information. + +## [0.1.124] - 2024-05-08 + +### Added + +- **🖼️ Improved Chat Sidebar**: Now conveniently displays time ranges and organizes chats by today, yesterday, and more. +- **📜 Citations in RAG Feature**: Easily track the context fed to the LLM with added citations in the RAG feature. +- **🔒 Auth Disable Option**: Introducing the ability to disable authentication. Set 'WEBUI_AUTH' to False to disable authentication. Note: Only applicable for fresh installations without existing users. +- **📹 Enhanced YouTube RAG Pipeline**: Now supports non-English videos for an enriched experience. +- **🔊 Specify OpenAI TTS Models**: Customize your TTS experience by specifying OpenAI TTS models. +- **🔧 Additional Environment Variables**: Discover more environment variables in our comprehensive documentation at Open WebUI Documentation (https://docs.openwebui.com). +- **🌐 Language Support**: Arabic, Finnish, and Hindi added; Improved support for German, Vietnamese, and Chinese. + +### Fixed + +- **🛠️ Model Selector Styling**: Addressed styling issues for improved user experience. +- **⚠️ Warning Messages**: Resolved backend warning messages. + +### Changed + +- **📝 Title Generation**: Limited output to 50 tokens. +- **📦 Helm Charts**: Removed Helm charts, now available in a separate repository (https://github.com/open-webui/helm-charts). + +## [0.1.123] - 2024-05-02 + +### Added + +- **🎨 New Landing Page Design**: Refreshed design for a more modern look and optimized use of screen space. +- **📹 Youtube RAG Pipeline**: Introduces dedicated RAG pipeline for Youtube videos, enabling interaction with video transcriptions directly. +- **🔧 Enhanced Admin Panel**: Streamlined user management with options to add users directly or in bulk via CSV import. +- **👥 '@' Model Integration**: Easily switch to specific models during conversations; old collaborative chat feature phased out. +- **🌐 Language Enhancements**: Swedish translation added, plus improvements to German, Spanish, and the addition of Doge translation. + +### Fixed + +- **🗑️ Delete Chat Shortcut**: Addressed issue where shortcut wasn't functioning. +- **🖼️ Modal Closing Bug**: Resolved unexpected closure of modal when dragging from within. +- **✏️ Edit Button Styling**: Fixed styling inconsistency with edit buttons. +- **🌐 Image Generation Compatibility Issue**: Rectified image generation compatibility issue with third-party APIs. +- **📱 iOS PWA Icon Fix**: Corrected iOS PWA home screen icon shape. +- **🔍 Scroll Gesture Bug**: Adjusted gesture sensitivity to prevent accidental activation when scrolling through code on mobile; now requires scrolling from the leftmost side to open the sidebar. + +### Changed + +- **🔄 Unlimited Context Length**: Advanced settings now allow unlimited max context length (previously limited to 16000). +- **👑 Super Admin Assignment**: The first signup is automatically assigned a super admin role, unchangeable by other admins. +- **🛡️ Admin User Restrictions**: User action buttons from the admin panel are now disabled for users with admin roles. +- **🔝 Default Model Selector**: Set as default model option now exclusively available on the landing page. + +## [0.1.122] - 2024-04-27 + +### Added + +- **🌟 Enhanced RAG Pipeline**: Now with hybrid searching via 'BM25', reranking powered by 'CrossEncoder', and configurable relevance score thresholds. +- **🛢️ External Database Support**: Seamlessly connect to custom SQLite or Postgres databases using the 'DATABASE_URL' environment variable. +- **🌐 Remote ChromaDB Support**: Introducing the capability to connect to remote ChromaDB servers. +- **👨‍💼 Improved Admin Panel**: Admins can now conveniently check users' chat lists and last active status directly from the admin panel. +- **🎨 Splash Screen**: Introducing a loading splash screen for a smoother user experience. +- **🌍 Language Support Expansion**: Added support for Bangla (bn-BD), along with enhancements to Chinese, Spanish, and Ukrainian translations. +- **💻 Improved LaTeX Rendering Performance**: Enjoy faster rendering times for LaTeX equations. +- **🔧 More Environment Variables**: Explore additional environment variables in our documentation (https://docs.openwebui.com), including the 'ENABLE_LITELLM' option to manage memory usage. + +### Fixed + +- **🔧 Ollama Compatibility**: Resolved errors occurring when Ollama server version isn't an integer, such as SHA builds or RCs. +- **🐛 Various OpenAI API Issues**: Addressed several issues related to the OpenAI API. +- **🛑 Stop Sequence Issue**: Fixed the problem where the stop sequence with a backslash '\' was not functioning. +- **🔤 Font Fallback**: Corrected font fallback issue. + +### Changed + +- **⌨️ Prompt Input Behavior on Mobile**: Enter key prompt submission disabled on mobile devices for improved user experience. + +## [0.1.121] - 2024-04-24 + +### Fixed + +- **🔧 Translation Issues**: Addressed various translation discrepancies. +- **🔒 LiteLLM Security Fix**: Updated LiteLLM version to resolve a security vulnerability. +- **🖥️ HTML Tag Display**: Rectified the issue where the '< br >' tag wasn't displaying correctly. +- **🔗 WebSocket Connection**: Resolved the failure of WebSocket connection under HTTPS security for ComfyUI server. +- **📜 FileReader Optimization**: Implemented FileReader initialization per image in multi-file drag & drop to ensure reusability. +- **🏷️ Tag Display**: Corrected tag display inconsistencies. +- **📦 Archived Chat Styling**: Fixed styling issues in archived chat. +- **🔖 Safari Copy Button Bug**: Addressed the bug where the copy button failed to copy links in Safari. + +## [0.1.120] - 2024-04-20 + +### Added + +- **📦 Archive Chat Feature**: Easily archive chats with a new sidebar button, and access archived chats via the profile button > archived chats. +- **🔊 Configurable Text-to-Speech Endpoint**: Customize your Text-to-Speech experience with configurable OpenAI endpoints. +- **🛠️ Improved Error Handling**: Enhanced error message handling for connection failures. +- **⌨️ Enhanced Shortcut**: When editing messages, use ctrl/cmd+enter to save and submit, and esc to close. +- **🌐 Language Support**: Added support for Georgian and enhanced translations for Portuguese and Vietnamese. + +### Fixed + +- **🔧 Model Selector**: Resolved issue where default model selection was not saving. +- **🔗 Share Link Copy Button**: Fixed bug where the copy button wasn't copying links in Safari. +- **🎨 Light Theme Styling**: Addressed styling issue with the light theme. + +## [0.1.119] - 2024-04-16 + +### Added + +- **🌟 Enhanced RAG Embedding Support**: Ollama, and OpenAI models can now be used for RAG embedding model. +- **🔄 Seamless Integration**: Copy 'ollama run ' directly from Ollama page to easily select and pull models. +- **🏷️ Tagging Feature**: Add tags to chats directly via the sidebar chat menu. +- **📱 Mobile Accessibility**: Swipe left and right on mobile to effortlessly open and close the sidebar. +- **🔍 Improved Navigation**: Admin panel now supports pagination for user list. +- **🌍 Additional Language Support**: Added Polish language support. + +### Fixed + +- **🌍 Language Enhancements**: Vietnamese and Spanish translations have been improved. +- **🔧 Helm Fixes**: Resolved issues with Helm trailing slash and manifest.json. + +### Changed + +- **🐳 Docker Optimization**: Updated docker image build process to utilize 'uv' for significantly faster builds compared to 'pip3'. + +## [0.1.118] - 2024-04-10 + +### Added + +- **🦙 Ollama and CUDA Images**: Added support for ':ollama' and ':cuda' tagged images. +- **👍 Enhanced Response Rating**: Now you can annotate your ratings for better feedback. +- **👤 User Initials Profile Photo**: User initials are now the default profile photo. +- **🔍 Update RAG Embedding Model**: Customize RAG embedding model directly in document settings. +- **🌍 Additional Language Support**: Added Turkish language support. + +### Fixed + +- **🔒 Share Chat Permission**: Resolved issue with chat sharing permissions. +- **🛠 Modal Close**: Modals can now be closed using the Esc key. + +### Changed + +- **🎨 Admin Panel Styling**: Refreshed styling for the admin panel. +- **🐳 Docker Image Build**: Updated docker image build process for improved efficiency. + +## [0.1.117] - 2024-04-03 + +### Added + +- 🗨️ **Local Chat Sharing**: Share chat links seamlessly between users. +- 🔑 **API Key Generation Support**: Generate secret keys to leverage Open WebUI with OpenAI libraries. +- 📄 **Chat Download as PDF**: Easily download chats in PDF format. +- 📝 **Improved Logging**: Enhancements to logging functionality. +- 📧 **Trusted Email Authentication**: Authenticate using a trusted email header. + +### Fixed + +- 🌷 **Enhanced Dutch Translation**: Improved translation for Dutch users. +- ⚪ **White Theme Styling**: Resolved styling issue with the white theme. +- 📜 **LaTeX Chat Screen Overflow**: Fixed screen overflow issue with LaTeX rendering. +- 🔒 **Security Patches**: Applied necessary security patches. + +## [0.1.116] - 2024-03-31 + +### Added + +- **🔄 Enhanced UI**: Model selector now conveniently located in the navbar, enabling seamless switching between multiple models during conversations. +- **🔍 Improved Model Selector**: Directly pull a model from the selector/Models now display detailed information for better understanding. +- **💬 Webhook Support**: Now compatible with Google Chat and Microsoft Teams. +- **🌐 Localization**: Korean translation (I18n) now available. +- **🌑 Dark Theme**: OLED dark theme introduced for reduced strain during prolonged usage. +- **🏷️ Tag Autocomplete**: Dropdown feature added for effortless chat tagging. + +### Fixed + +- **🔽 Auto-Scrolling**: Addressed OpenAI auto-scrolling issue. +- **🏷️ Tag Validation**: Implemented tag validation to prevent empty string tags. +- **🚫 Model Whitelisting**: Resolved LiteLLM model whitelisting issue. +- **✅ Spelling**: Corrected various spelling issues for improved readability. + +## [0.1.115] - 2024-03-24 + +### Added + +- **🔍 Custom Model Selector**: Easily find and select custom models with the new search filter feature. +- **🛑 Cancel Model Download**: Added the ability to cancel model downloads. +- **🎨 Image Generation ComfyUI**: Image generation now supports ComfyUI. +- **🌟 Updated Light Theme**: Updated the light theme for a fresh look. +- **🌍 Additional Language Support**: Now supporting Bulgarian, Italian, Portuguese, Japanese, and Dutch. + +### Fixed + +- **🔧 Fixed Broken Experimental GGUF Upload**: Resolved issues with experimental GGUF upload functionality. + +### Changed + +- **🔄 Vector Storage Reset Button**: Moved the reset vector storage button to document settings. + +## [0.1.114] - 2024-03-20 + +### Added + +- **🔗 Webhook Integration**: Now you can subscribe to new user sign-up events via webhook. Simply navigate to the admin panel > admin settings > webhook URL. +- **🛡️ Enhanced Model Filtering**: Alongside Ollama, OpenAI proxy model whitelisting, we've added model filtering functionality for LiteLLM proxy. +- **🌍 Expanded Language Support**: Spanish, Catalan, and Vietnamese languages are now available, with improvements made to others. + +### Fixed + +- **🔧 Input Field Spelling**: Resolved issue with spelling mistakes in input fields. +- **🖊️ Light Mode Styling**: Fixed styling issue with light mode in document adding. + +### Changed + +- **🔄 Language Sorting**: Languages are now sorted alphabetically by their code for improved organization. + +## [0.1.113] - 2024-03-18 + +### Added + +- 🌍 **Localization**: You can now change the UI language in Settings > General. We support Ukrainian, German, Farsi (Persian), Traditional and Simplified Chinese and French translations. You can help us to translate the UI into your language! More info in our [CONTRIBUTION.md](https://github.com/open-webui/open-webui/blob/main/docs/CONTRIBUTING.md#-translations-and-internationalization). +- 🎨 **System-wide Theme**: Introducing a new system-wide theme for enhanced visual experience. + +### Fixed + +- 🌑 **Dark Background on Select Fields**: Improved readability by adding a dark background to select fields, addressing issues on certain browsers/devices. +- **Multiple OPENAI_API_BASE_URLS Issue**: Resolved issue where multiple base URLs caused conflicts when one wasn't functioning. +- **RAG Encoding Issue**: Fixed encoding problem in RAG. +- **npm Audit Fix**: Addressed npm audit findings. +- **Reduced Scroll Threshold**: Improved auto-scroll experience by reducing the scroll threshold from 50px to 5px. + +### Changed + +- 🔄 **Sidebar UI Update**: Updated sidebar UI to feature a chat menu dropdown, replacing two icons for improved navigation. + +## [0.1.112] - 2024-03-15 + +### Fixed + +- 🗨️ Resolved chat malfunction after image generation. +- 🎨 Fixed various RAG issues. +- 🧪 Rectified experimental broken GGUF upload logic. + +## [0.1.111] - 2024-03-10 + +### Added + +- 🛡️ **Model Whitelisting**: Admins now have the ability to whitelist models for users with the 'user' role. +- 🔄 **Update All Models**: Added a convenient button to update all models at once. +- 📄 **Toggle PDF OCR**: Users can now toggle PDF OCR option for improved parsing performance. +- 🎨 **DALL-E Integration**: Introduced DALL-E integration for image generation alongside automatic1111. +- 🛠️ **RAG API Refactoring**: Refactored RAG logic and exposed its API, with additional documentation to follow. + +### Fixed + +- 🔒 **Max Token Settings**: Added max token settings for anthropic/claude-3-sonnet-20240229 (Issue #1094). +- 🔧 **Misalignment Issue**: Corrected misalignment of Edit and Delete Icons when Chat Title is Empty (Issue #1104). +- 🔄 **Context Loss Fix**: Resolved RAG losing context on model response regeneration with Groq models via API key (Issue #1105). +- 📁 **File Handling Bug**: Addressed File Not Found Notification when Dropping a Conversation Element (Issue #1098). +- 🖱️ **Dragged File Styling**: Fixed dragged file layover styling issue. + +## [0.1.110] - 2024-03-06 + +### Added + +- **🌐 Multiple OpenAI Servers Support**: Enjoy seamless integration with multiple OpenAI-compatible APIs, now supported natively. + +### Fixed + +- **🔍 OCR Issue**: Resolved PDF parsing issue caused by OCR malfunction. +- **🚫 RAG Issue**: Fixed the RAG functionality, ensuring it operates smoothly. +- **📄 "Add Docs" Model Button**: Addressed the non-functional behavior of the "Add Docs" model button. + +## [0.1.109] - 2024-03-06 + +### Added + +- **🔄 Multiple Ollama Servers Support**: Enjoy enhanced scalability and performance with support for multiple Ollama servers in a single WebUI. Load balancing features are now available, providing improved efficiency (#788, #278). +- **🔧 Support for Claude 3 and Gemini**: Responding to user requests, we've expanded our toolset to include Claude 3 and Gemini, offering a wider range of functionalities within our platform (#1064). +- **🔍 OCR Functionality for PDF Loader**: We've augmented our PDF loader with Optical Character Recognition (OCR) capabilities. Now, extract text from scanned documents and images within PDFs, broadening the scope of content processing (#1050). + +### Fixed + +- **🛠️ RAG Collection**: Implemented a dynamic mechanism to recreate RAG collections, ensuring users have up-to-date and accurate data (#1031). +- **📝 User Agent Headers**: Fixed issue of RAG web requests being sent with empty user_agent headers, reducing rejections from certain websites. Realistic headers are now utilized for these requests (#1024). +- **⏹️ Playground Cancel Functionality**: Introducing a new "Cancel" option for stopping Ollama generation in the Playground, enhancing user control and usability (#1006). +- **🔤 Typographical Error in 'ASSISTANT' Field**: Corrected a typographical error in the 'ASSISTANT' field within the GGUF model upload template for accuracy and consistency (#1061). + +### Changed + +- **🔄 Refactored Message Deletion Logic**: Streamlined message deletion process for improved efficiency and user experience, simplifying interactions within the platform (#1004). +- **⚠️ Deprecation of `OLLAMA_API_BASE_URL`**: Deprecated `OLLAMA_API_BASE_URL` environment variable; recommend using `OLLAMA_BASE_URL` instead. Refer to our documentation for further details. + +## [0.1.108] - 2024-03-02 + +### Added + +- **🎮 Playground Feature (Beta)**: Explore the full potential of the raw API through an intuitive UI with our new playground feature, accessible to admins. Simply click on the bottom name area of the sidebar to access it. The playground feature offers two modes text completion (notebook) and chat completion. As it's in beta, please report any issues you encounter. +- **🛠️ Direct Database Download for Admins**: Admins can now download the database directly from the WebUI via the admin settings. +- **🎨 Additional RAG Settings**: Customize your RAG process with the ability to edit the TOP K value. Navigate to Documents > Settings > General to make changes. +- **🖥️ UI Improvements**: Tooltips now available in the input area and sidebar handle. More tooltips will be added across other parts of the UI. + +### Fixed + +- Resolved input autofocus issue on mobile when the sidebar is open, making it easier to use. +- Corrected numbered list display issue in Safari (#963). +- Restricted user ability to delete chats without proper permissions (#993). + +### Changed + +- **Simplified Ollama Settings**: Ollama settings now don't require the `/api` suffix. You can now utilize the Ollama base URL directly, e.g., `http://localhost:11434`. Also, an `OLLAMA_BASE_URL` environment variable has been added. +- **Database Renaming**: Starting from this release, `ollama.db` will be automatically renamed to `webui.db`. + +## [0.1.107] - 2024-03-01 + +### Added + +- **🚀 Makefile and LLM Update Script**: Included Makefile and a script for LLM updates in the repository. + +### Fixed + +- Corrected issue where links in the settings modal didn't appear clickable (#960). +- Fixed problem with web UI port not taking effect due to incorrect environment variable name in run-compose.sh (#996). +- Enhanced user experience by displaying chat in browser title and enabling automatic scrolling to the bottom (#992). + +### Changed + +- Upgraded toast library from `svelte-french-toast` to `svelte-sonner` for a more polished UI. +- Enhanced accessibility with the addition of dark mode on the authentication page. + +## [0.1.106] - 2024-02-27 + +### Added + +- **🎯 Auto-focus Feature**: The input area now automatically focuses when initiating or opening a chat conversation. + +### Fixed + +- Corrected typo from "HuggingFace" to "Hugging Face" (Issue #924). +- Resolved bug causing errors in chat completion API calls to OpenAI due to missing "num_ctx" parameter (Issue #927). +- Fixed issues preventing text editing, selection, and cursor retention in the input field (Issue #940). +- Fixed a bug where defining an OpenAI-compatible API server using 'OPENAI_API_BASE_URL' containing 'openai' string resulted in hiding models not containing 'gpt' string from the model menu. (Issue #930) + +## [0.1.105] - 2024-02-25 + +### Added + +- **📄 Document Selection**: Now you can select and delete multiple documents at once for easier management. + +### Changed + +- **🏷️ Document Pre-tagging**: Simply click the "+" button at the top, enter tag names in the popup window, or select from a list of existing tags. Then, upload files with the added tags for streamlined organization. + +## [0.1.104] - 2024-02-25 + +### Added + +- **🔄 Check for Updates**: Keep your system current by checking for updates conveniently located in Settings > About. +- **🗑️ Automatic Tag Deletion**: Unused tags on the sidebar will now be deleted automatically with just a click. + +### Changed + +- **🎨 Modernized Styling**: Enjoy a refreshed look with updated styling for a more contemporary experience. + +## [0.1.103] - 2024-02-25 + +### Added + +- **🔗 Built-in LiteLLM Proxy**: Now includes LiteLLM proxy within Open WebUI for enhanced functionality. + + - Easily integrate existing LiteLLM configurations using `-v /path/to/config.yaml:/app/backend/data/litellm/config.yaml` flag. + - When utilizing Docker container to run Open WebUI, ensure connections to localhost use `host.docker.internal`. + +- **🖼️ Image Generation Enhancements**: Introducing Advanced Settings with Image Preview Feature. + - Customize image generation by setting the number of steps; defaults to A1111 value. + +### Fixed + +- Resolved issue with RAG scan halting document loading upon encountering unsupported MIME types or exceptions (Issue #866). + +### Changed + +- Ollama is no longer required to run Open WebUI. +- Access our comprehensive documentation at [Open WebUI Documentation](https://docs.openwebui.com/). + +## [0.1.102] - 2024-02-22 + +### Added + +- **🖼️ Image Generation**: Generate Images using the AUTOMATIC1111/stable-diffusion-webui API. You can set this up in Settings > Images. +- **📝 Change title generation prompt**: Change the prompt used to generate titles for your chats. You can set this up in the Settings > Interface. +- **🤖 Change embedding model**: Change the embedding model used to generate embeddings for your chats in the Dockerfile. Use any sentence transformer model from huggingface.co. +- **📢 CHANGELOG.md/Popup**: This popup will show you the latest changes. + +## [0.1.101] - 2024-02-22 + +### Fixed + +- LaTex output formatting issue (#828) + +### Changed + +- Instead of having the previous 1.0.0-alpha.101, we switched to semantic versioning as a way to respect global conventions. diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 0000000000000000000000000000000000000000..37ac5263cbfdbb5a938da361397352443e57dc33 --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,77 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our +community a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion, or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contribute to a positive environment for our community include: + +- Demonstrating empathy and kindness toward other people +- Being respectful of differing opinions, viewpoints, and experiences +- Giving and gracefully accepting constructive feedback +- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience +- Focusing on what is best not just for us as individuals, but for the overall community + +Examples of unacceptable behavior include: + +- The use of sexualized language or imagery, and sexual attention or advances of any kind +- Trolling, insulting or derogatory comments, and personal or political attacks +- Public or private harassment +- Publishing others' private information, such as a physical or email address, without their explicit permission +- **Spamming of any kind** +- Aggressive sales tactics targeting our community members are strictly prohibited. You can mention your product if it's relevant to the discussion, but under no circumstances should you push it forcefully +- Other conduct which could reasonably be considered inappropriate in a professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies within all community spaces and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, spamming, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at hello@openwebui.com. All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Temporary Ban + +**Community Impact**: Any violation of community standards, including but not limited to inappropriate language, unprofessional behavior, harassment, or spamming. + +**Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban. + +### 2. Permanent Ban + +**Community Impact**: Repeated or severe violations of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct +enforcement ladder](https://github.com/mozilla/diversity). + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see the FAQ at +https://www.contributor-covenant.org/faq. Translations are available at +https://www.contributor-covenant.org/translations. diff --git a/Caddyfile.localhost b/Caddyfile.localhost new file mode 100644 index 0000000000000000000000000000000000000000..80728eedf6ac60dc6454ef6933b490eeed4648be --- /dev/null +++ b/Caddyfile.localhost @@ -0,0 +1,64 @@ +# Run with +# caddy run --envfile ./example.env --config ./Caddyfile.localhost +# +# This is configured for +# - Automatic HTTPS (even for localhost) +# - Reverse Proxying to Ollama API Base URL (http://localhost:11434/api) +# - CORS +# - HTTP Basic Auth API Tokens (uncomment basicauth section) + + +# CORS Preflight (OPTIONS) + Request (GET, POST, PATCH, PUT, DELETE) +(cors-api) { + @match-cors-api-preflight method OPTIONS + handle @match-cors-api-preflight { + header { + Access-Control-Allow-Origin "{http.request.header.origin}" + Access-Control-Allow-Methods "GET, POST, PUT, PATCH, DELETE, OPTIONS" + Access-Control-Allow-Headers "Origin, Accept, Authorization, Content-Type, X-Requested-With" + Access-Control-Allow-Credentials "true" + Access-Control-Max-Age "3600" + defer + } + respond "" 204 + } + + @match-cors-api-request { + not { + header Origin "{http.request.scheme}://{http.request.host}" + } + header Origin "{http.request.header.origin}" + } + handle @match-cors-api-request { + header { + Access-Control-Allow-Origin "{http.request.header.origin}" + Access-Control-Allow-Methods "GET, POST, PUT, PATCH, DELETE, OPTIONS" + Access-Control-Allow-Headers "Origin, Accept, Authorization, Content-Type, X-Requested-With" + Access-Control-Allow-Credentials "true" + Access-Control-Max-Age "3600" + defer + } + } +} + +# replace localhost with example.com or whatever +localhost { + ## HTTP Basic Auth + ## (uncomment to enable) + # basicauth { + # # see .example.env for how to generate tokens + # {env.OLLAMA_API_ID} {env.OLLAMA_API_TOKEN_DIGEST} + # } + + handle /api/* { + # Comment to disable CORS + import cors-api + + reverse_proxy localhost:11434 + } + + # Same-Origin Static Web Server + file_server { + root ./build/ + } +} diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..274e23dbfc79c0a2fb5c01da0b26f26ad9f7dec8 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,176 @@ +# syntax=docker/dockerfile:1 +# Initialize device type args +# use build args in the docker build command with --build-arg="BUILDARG=true" +ARG USE_CUDA=false +ARG USE_OLLAMA=false +# Tested with cu117 for CUDA 11 and cu121 for CUDA 12 (default) +ARG USE_CUDA_VER=cu121 +# any sentence transformer model; models to use can be found at https://huggingface.co/models?library=sentence-transformers +# Leaderboard: https://huggingface.co/spaces/mteb/leaderboard +# for better performance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB) +# IMPORTANT: If you change the embedding model (sentence-transformers/all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them. +ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 +ARG USE_RERANKING_MODEL="" + +# Tiktoken encoding name; models to use can be found at https://huggingface.co/models?library=tiktoken +ARG USE_TIKTOKEN_ENCODING_NAME="cl100k_base" + +ARG BUILD_HASH=dev-build +# Override at your own risk - non-root configurations are untested +ARG UID=0 +ARG GID=0 + +######## WebUI frontend ######## +FROM --platform=$BUILDPLATFORM node:22-alpine3.20 AS build +ARG BUILD_HASH + +WORKDIR /app + +COPY package.json package-lock.json ./ +RUN npm ci + +COPY . . +ENV APP_BUILD_HASH=${BUILD_HASH} +RUN npm run build + +######## WebUI backend ######## +FROM python:3.11-slim-bookworm AS base + +# Use args +ARG USE_CUDA +ARG USE_OLLAMA +ARG USE_CUDA_VER +ARG USE_EMBEDDING_MODEL +ARG USE_RERANKING_MODEL +ARG UID +ARG GID + +## Basis ## +ENV ENV=prod \ + PORT=8080 \ + # pass build args to the build + USE_OLLAMA_DOCKER=${USE_OLLAMA} \ + USE_CUDA_DOCKER=${USE_CUDA} \ + USE_CUDA_DOCKER_VER=${USE_CUDA_VER} \ + USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} \ + USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL} + +## Basis URL Config ## +ENV OLLAMA_BASE_URL="/ollama" \ + OPENAI_API_BASE_URL="" + +## API Key and Security Config ## +ENV OPENAI_API_KEY="" \ + WEBUI_SECRET_KEY="" \ + SCARF_NO_ANALYTICS=true \ + DO_NOT_TRACK=true \ + ANONYMIZED_TELEMETRY=false + +#### Other models ######################################################### +## whisper TTS model settings ## +ENV WHISPER_MODEL="base" \ + WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models" + +## RAG Embedding model settings ## +ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \ + RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER" \ + SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models" + +## Tiktoken model settings ## +ENV TIKTOKEN_ENCODING_NAME="cl100k_base" \ + TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken" + +## Hugging Face download cache ## +ENV HF_HOME="/app/backend/data/cache/embedding/models" + +## Torch Extensions ## +# ENV TORCH_EXTENSIONS_DIR="/.cache/torch_extensions" + +#### Other models ########################################################## + +WORKDIR /app/backend + +ENV HOME=/root +# Create user and group if not root +RUN if [ $UID -ne 0 ]; then \ + if [ $GID -ne 0 ]; then \ + addgroup --gid $GID app; \ + fi; \ + adduser --uid $UID --gid $GID --home $HOME --disabled-password --no-create-home app; \ + fi + +RUN mkdir -p $HOME/.cache/chroma +RUN echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id + +# Make sure the user has access to the app and root directory +RUN chown -R $UID:$GID /app $HOME + +RUN if [ "$USE_OLLAMA" = "true" ]; then \ + apt-get update && \ + # Install pandoc and netcat + apt-get install -y --no-install-recommends git build-essential pandoc netcat-openbsd curl && \ + apt-get install -y --no-install-recommends gcc python3-dev && \ + # for RAG OCR + apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \ + # install helper tools + apt-get install -y --no-install-recommends curl jq && \ + # install ollama + curl -fsSL https://ollama.com/install.sh | sh && \ + # cleanup + rm -rf /var/lib/apt/lists/*; \ + else \ + apt-get update && \ + # Install pandoc, netcat and gcc + apt-get install -y --no-install-recommends git build-essential pandoc gcc netcat-openbsd curl jq && \ + apt-get install -y --no-install-recommends gcc python3-dev && \ + # for RAG OCR + apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \ + # cleanup + rm -rf /var/lib/apt/lists/*; \ + fi + +# install python dependencies +COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt + +RUN pip3 install uv && \ + if [ "$USE_CUDA" = "true" ]; then \ + # If you use CUDA the whisper and embedding model will be downloaded on first use + pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \ + uv pip install --system -r requirements.txt --no-cache-dir && \ + python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \ + python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \ + python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \ + else \ + pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \ + uv pip install --system -r requirements.txt --no-cache-dir && \ + python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \ + python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \ + python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \ + fi; \ + chown -R $UID:$GID /app/backend/data/ + + + +# copy embedding weight from build +# RUN mkdir -p /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2 +# COPY --from=build /app/onnx /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx + +# copy built frontend files +COPY --chown=$UID:$GID --from=build /app/build /app/build +COPY --chown=$UID:$GID --from=build /app/CHANGELOG.md /app/CHANGELOG.md +COPY --chown=$UID:$GID --from=build /app/package.json /app/package.json + +# copy backend files +COPY --chown=$UID:$GID ./backend . + +EXPOSE 8080 + +HEALTHCHECK CMD curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1 + +USER $UID:$GID + +ARG BUILD_HASH +ENV WEBUI_BUILD_VERSION=${BUILD_HASH} +ENV DOCKER=true + +CMD [ "bash", "start.sh"] diff --git a/INSTALLATION.md b/INSTALLATION.md new file mode 100644 index 0000000000000000000000000000000000000000..4298b173e9fd5c372a81c86fc4121de6a57fb81b --- /dev/null +++ b/INSTALLATION.md @@ -0,0 +1,35 @@ +### Installing Both Ollama and Open WebUI Using Kustomize + +For cpu-only pod + +```bash +kubectl apply -f ./kubernetes/manifest/base +``` + +For gpu-enabled pod + +```bash +kubectl apply -k ./kubernetes/manifest +``` + +### Installing Both Ollama and Open WebUI Using Helm + +Package Helm file first + +```bash +helm package ./kubernetes/helm/ +``` + +For cpu-only pod + +```bash +helm install ollama-webui ./ollama-webui-*.tgz +``` + +For gpu-enabled pod + +```bash +helm install ollama-webui ./ollama-webui-*.tgz --set ollama.resources.limits.nvidia.com/gpu="1" +``` + +Check the `kubernetes/helm/values.yaml` file to know which parameters are available for customization diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..515e64df6c00c937379ad187de6204770db0fe18 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Timothy Jaeryang Baek + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/Makefile b/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..4b60b049658173c1e8b64dd79919fdd04d5d4f24 --- /dev/null +++ b/Makefile @@ -0,0 +1,33 @@ + +ifneq ($(shell which docker-compose 2>/dev/null),) + DOCKER_COMPOSE := docker-compose +else + DOCKER_COMPOSE := docker compose +endif + +install: + $(DOCKER_COMPOSE) up -d + +remove: + @chmod +x confirm_remove.sh + @./confirm_remove.sh + +start: + $(DOCKER_COMPOSE) start +startAndBuild: + $(DOCKER_COMPOSE) up -d --build + +stop: + $(DOCKER_COMPOSE) stop + +update: + # Calls the LLM update script + chmod +x update_ollama_models.sh + @./update_ollama_models.sh + @git pull + $(DOCKER_COMPOSE) down + # Make sure the ollama-webui container is stopped before rebuilding + @docker stop open-webui || true + $(DOCKER_COMPOSE) up --build -d + $(DOCKER_COMPOSE) start + diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c5d256b458552131c26f0cfb85298cacc3d5f2fc --- /dev/null +++ b/README.md @@ -0,0 +1,219 @@ +--- +title: Open WebUI +emoji: 🐳 +colorFrom: purple +colorTo: gray +sdk: docker +app_port: 8080 +--- +# Open WebUI 👋 + +![GitHub stars](https://img.shields.io/github/stars/open-webui/open-webui?style=social) +![GitHub forks](https://img.shields.io/github/forks/open-webui/open-webui?style=social) +![GitHub watchers](https://img.shields.io/github/watchers/open-webui/open-webui?style=social) +![GitHub repo size](https://img.shields.io/github/repo-size/open-webui/open-webui) +![GitHub language count](https://img.shields.io/github/languages/count/open-webui/open-webui) +![GitHub top language](https://img.shields.io/github/languages/top/open-webui/open-webui) +![GitHub last commit](https://img.shields.io/github/last-commit/open-webui/open-webui?color=red) +![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Follama-webui%2Follama-wbui&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false) +[![Discord](https://img.shields.io/badge/Discord-Open_WebUI-blue?logo=discord&logoColor=white)](https://discord.gg/5rJgQTnV4s) +[![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/tjbck) + +Open WebUI is an [extensible](https://github.com/open-webui/pipelines), feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our [Open WebUI Documentation](https://docs.openwebui.com/). + +![Open WebUI Demo](./demo.gif) + +## Key Features of Open WebUI ⭐ + +- 🚀 **Effortless Setup**: Install seamlessly using Docker or Kubernetes (kubectl, kustomize or helm) for a hassle-free experience with support for both `:ollama` and `:cuda` tagged images. + +- 🤝 **Ollama/OpenAI API Integration**: Effortlessly integrate OpenAI-compatible APIs for versatile conversations alongside Ollama models. Customize the OpenAI API URL to link with **LMStudio, GroqCloud, Mistral, OpenRouter, and more**. + +- 🧩 **Pipelines, Open WebUI Plugin Support**: Seamlessly integrate custom logic and Python libraries into Open WebUI using [Pipelines Plugin Framework](https://github.com/open-webui/pipelines). Launch your Pipelines instance, set the OpenAI URL to the Pipelines URL, and explore endless possibilities. [Examples](https://github.com/open-webui/pipelines/tree/main/examples) include **Function Calling**, User **Rate Limiting** to control access, **Usage Monitoring** with tools like Langfuse, **Live Translation with LibreTranslate** for multilingual support, **Toxic Message Filtering** and much more. + +- 📱 **Responsive Design**: Enjoy a seamless experience across Desktop PC, Laptop, and Mobile devices. + +- 📱 **Progressive Web App (PWA) for Mobile**: Enjoy a native app-like experience on your mobile device with our PWA, providing offline access on localhost and a seamless user interface. + +- ✒️🔢 **Full Markdown and LaTeX Support**: Elevate your LLM experience with comprehensive Markdown and LaTeX capabilities for enriched interaction. + +- 🎤📹 **Hands-Free Voice/Video Call**: Experience seamless communication with integrated hands-free voice and video call features, allowing for a more dynamic and interactive chat environment. + +- 🛠️ **Model Builder**: Easily create Ollama models via the Web UI. Create and add custom characters/agents, customize chat elements, and import models effortlessly through [Open WebUI Community](https://openwebui.com/) integration. + +- 🐍 **Native Python Function Calling Tool**: Enhance your LLMs with built-in code editor support in the tools workspace. Bring Your Own Function (BYOF) by simply adding your pure Python functions, enabling seamless integration with LLMs. + +- 📚 **Local RAG Integration**: Dive into the future of chat interactions with groundbreaking Retrieval Augmented Generation (RAG) support. This feature seamlessly integrates document interactions into your chat experience. You can load documents directly into the chat or add files to your document library, effortlessly accessing them using the `#` command before a query. + +- 🔍 **Web Search for RAG**: Perform web searches using providers like `SearXNG`, `Google PSE`, `Brave Search`, `serpstack`, `serper`, `Serply`, `DuckDuckGo`, `TavilySearch` and `SearchApi` and inject the results directly into your chat experience. + +- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by a URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions. + +- 🎨 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API or ComfyUI (local), and OpenAI's DALL-E (external), enriching your chat experience with dynamic visual content. + +- ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel. + +- 🔐 **Role-Based Access Control (RBAC)**: Ensure secure access with restricted permissions; only authorized individuals can access your Ollama, and exclusive model creation/pulling rights are reserved for administrators. + +- 🌐🌍 **Multilingual Support**: Experience Open WebUI in your preferred language with our internationalization (i18n) support. Join us in expanding our supported languages! We're actively seeking contributors! + +- 🌟 **Continuous Updates**: We are committed to improving Open WebUI with regular updates, fixes, and new features. + +Want to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview! + +## 🔗 Also Check Out Open WebUI Community! + +Don't forget to explore our sibling project, [Open WebUI Community](https://openwebui.com/), where you can discover, download, and explore customized Modelfiles. Open WebUI Community offers a wide range of exciting possibilities for enhancing your chat interactions with Open WebUI! 🚀 + +## How to Install 🚀 + +### Installation via Python pip 🐍 + +Open WebUI can be installed using pip, the Python package installer. Before proceeding, ensure you're using **Python 3.11** to avoid compatibility issues. + +1. **Install Open WebUI**: + Open your terminal and run the following command to install Open WebUI: + + ```bash + pip install open-webui + ``` + +2. **Running Open WebUI**: + After installation, you can start Open WebUI by executing: + + ```bash + open-webui serve + ``` + +This will start the Open WebUI server, which you can access at [http://localhost:8080](http://localhost:8080) + +### Quick Start with Docker 🐳 + +> [!NOTE] +> Please note that for certain Docker environments, additional configurations might be needed. If you encounter any connection issues, our detailed guide on [Open WebUI Documentation](https://docs.openwebui.com/) is ready to assist you. + +> [!WARNING] +> When using Docker to install Open WebUI, make sure to include the `-v open-webui:/app/backend/data` in your Docker command. This step is crucial as it ensures your database is properly mounted and prevents any loss of data. + +> [!TIP] +> If you wish to utilize Open WebUI with Ollama included or CUDA acceleration, we recommend utilizing our official images tagged with either `:cuda` or `:ollama`. To enable CUDA, you must install the [Nvidia CUDA container toolkit](https://docs.nvidia.com/dgx/nvidia-container-runtime-upgrade/) on your Linux/WSL system. + +### Installation with Default Configuration + +- **If Ollama is on your computer**, use this command: + + ```bash + docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main + ``` + +- **If Ollama is on a Different Server**, use this command: + + To connect to Ollama on another server, change the `OLLAMA_BASE_URL` to the server's URL: + + ```bash + docker run -d -p 3000:8080 -e OLLAMA_BASE_URL=https://example.com -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main + ``` + +- **To run Open WebUI with Nvidia GPU support**, use this command: + + ```bash + docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:cuda + ``` + +### Installation for OpenAI API Usage Only + +- **If you're only using OpenAI API**, use this command: + + ```bash + docker run -d -p 3000:8080 -e OPENAI_API_KEY=your_secret_key -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main + ``` + +### Installing Open WebUI with Bundled Ollama Support + +This installation method uses a single container image that bundles Open WebUI with Ollama, allowing for a streamlined setup via a single command. Choose the appropriate command based on your hardware setup: + +- **With GPU Support**: + Utilize GPU resources by running the following command: + + ```bash + docker run -d -p 3000:8080 --gpus=all -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama + ``` + +- **For CPU Only**: + If you're not using a GPU, use this command instead: + + ```bash + docker run -d -p 3000:8080 -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama + ``` + +Both commands facilitate a built-in, hassle-free installation of both Open WebUI and Ollama, ensuring that you can get everything up and running swiftly. + +After installation, you can access Open WebUI at [http://localhost:3000](http://localhost:3000). Enjoy! 😄 + +### Other Installation Methods + +We offer various installation alternatives, including non-Docker native installation methods, Docker Compose, Kustomize, and Helm. Visit our [Open WebUI Documentation](https://docs.openwebui.com/getting-started/) or join our [Discord community](https://discord.gg/5rJgQTnV4s) for comprehensive guidance. + +### Troubleshooting + +Encountering connection issues? Our [Open WebUI Documentation](https://docs.openwebui.com/troubleshooting/) has got you covered. For further assistance and to join our vibrant community, visit the [Open WebUI Discord](https://discord.gg/5rJgQTnV4s). + +#### Open WebUI: Server Connection Error + +If you're experiencing connection issues, it’s often due to the WebUI docker container not being able to reach the Ollama server at 127.0.0.1:11434 (host.docker.internal:11434) inside the container . Use the `--network=host` flag in your docker command to resolve this. Note that the port changes from 3000 to 8080, resulting in the link: `http://localhost:8080`. + +**Example Docker Command**: + +```bash +docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=http://127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main +``` + +### Keeping Your Docker Installation Up-to-Date + +In case you want to update your local Docker installation to the latest version, you can do it with [Watchtower](https://containrrr.dev/watchtower/): + +```bash +docker run --rm --volume /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower --run-once open-webui +``` + +In the last part of the command, replace `open-webui` with your container name if it is different. + +Check our Migration Guide available in our [Open WebUI Documentation](https://docs.openwebui.com/tutorials/migration/). + +### Using the Dev Branch 🌙 + +> [!WARNING] +> The `:dev` branch contains the latest unstable features and changes. Use it at your own risk as it may have bugs or incomplete features. + +If you want to try out the latest bleeding-edge features and are okay with occasional instability, you can use the `:dev` tag like this: + +```bash +docker run -d -p 3000:8080 -v open-webui:/app/backend/data --name open-webui --add-host=host.docker.internal:host-gateway --restart always ghcr.io/open-webui/open-webui:dev +``` + +## What's Next? 🌟 + +Discover upcoming features on our roadmap in the [Open WebUI Documentation](https://docs.openwebui.com/roadmap/). + +## License 📜 + +This project is licensed under the [MIT License](LICENSE) - see the [LICENSE](LICENSE) file for details. 📄 + +## Support 💬 + +If you have any questions, suggestions, or need assistance, please open an issue or join our +[Open WebUI Discord community](https://discord.gg/5rJgQTnV4s) to connect with us! 🤝 + +## Star History + + + + + + Star History Chart + + + +--- + +Created by [Timothy Jaeryang Baek](https://github.com/tjbck) - Let's make Open WebUI even more amazing together! 💪 diff --git a/TROUBLESHOOTING.md b/TROUBLESHOOTING.md new file mode 100644 index 0000000000000000000000000000000000000000..83251a3a91ee25b4952e70e335fe7df1dfcbde69 --- /dev/null +++ b/TROUBLESHOOTING.md @@ -0,0 +1,36 @@ +# Open WebUI Troubleshooting Guide + +## Understanding the Open WebUI Architecture + +The Open WebUI system is designed to streamline interactions between the client (your browser) and the Ollama API. At the heart of this design is a backend reverse proxy, enhancing security and resolving CORS issues. + +- **How it Works**: The Open WebUI is designed to interact with the Ollama API through a specific route. When a request is made from the WebUI to Ollama, it is not directly sent to the Ollama API. Initially, the request is sent to the Open WebUI backend via `/ollama` route. From there, the backend is responsible for forwarding the request to the Ollama API. This forwarding is accomplished by using the route specified in the `OLLAMA_BASE_URL` environment variable. Therefore, a request made to `/ollama` in the WebUI is effectively the same as making a request to `OLLAMA_BASE_URL` in the backend. For instance, a request to `/ollama/api/tags` in the WebUI is equivalent to `OLLAMA_BASE_URL/api/tags` in the backend. + +- **Security Benefits**: This design prevents direct exposure of the Ollama API to the frontend, safeguarding against potential CORS (Cross-Origin Resource Sharing) issues and unauthorized access. Requiring authentication to access the Ollama API further enhances this security layer. + +## Open WebUI: Server Connection Error + +If you're experiencing connection issues, it’s often due to the WebUI docker container not being able to reach the Ollama server at 127.0.0.1:11434 (host.docker.internal:11434) inside the container . Use the `--network=host` flag in your docker command to resolve this. Note that the port changes from 3000 to 8080, resulting in the link: `http://localhost:8080`. + +**Example Docker Command**: + +```bash +docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=http://127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main +``` + +### Error on Slow Responses for Ollama + +Open WebUI has a default timeout of 5 minutes for Ollama to finish generating the response. If needed, this can be adjusted via the environment variable AIOHTTP_CLIENT_TIMEOUT, which sets the timeout in seconds. + +### General Connection Errors + +**Ensure Ollama Version is Up-to-Date**: Always start by checking that you have the latest version of Ollama. Visit [Ollama's official site](https://ollama.com/) for the latest updates. + +**Troubleshooting Steps**: + +1. **Verify Ollama URL Format**: + - When running the Web UI container, ensure the `OLLAMA_BASE_URL` is correctly set. (e.g., `http://192.168.1.1:11434` for different host setups). + - In the Open WebUI, navigate to "Settings" > "General". + - Confirm that the Ollama Server URL is correctly set to `[OLLAMA URL]` (e.g., `http://localhost:11434`). + +By following these enhanced troubleshooting steps, connection issues should be effectively resolved. For further assistance or queries, feel free to reach out to us on our community Discord. diff --git a/backend/.dockerignore b/backend/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..97ab32835d90e779180b09b866c7eecbdb1433ac --- /dev/null +++ b/backend/.dockerignore @@ -0,0 +1,14 @@ +__pycache__ +.env +_old +uploads +.ipynb_checkpoints +*.db +_test +!/data +/data/* +!/data/litellm +/data/litellm/* +!data/litellm/config.yaml + +!data/config.json \ No newline at end of file diff --git a/backend/.gitignore b/backend/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..614a5f7465676c7bdc5d90f117fa6c18c75c4476 --- /dev/null +++ b/backend/.gitignore @@ -0,0 +1,12 @@ +__pycache__ +.env +_old +uploads +.ipynb_checkpoints +*.db +_test +Pipfile +!/data +/data/* +/open_webui/data/* +.webui_secret_key \ No newline at end of file diff --git a/backend/dev.sh b/backend/dev.sh new file mode 100755 index 0000000000000000000000000000000000000000..5449ab77777fa604f6569fa59b68f29756e94a1d --- /dev/null +++ b/backend/dev.sh @@ -0,0 +1,2 @@ +PORT="${PORT:-8080}" +uvicorn open_webui.main:app --port $PORT --host 0.0.0.0 --forwarded-allow-ips '*' --reload \ No newline at end of file diff --git a/backend/open_webui/__init__.py b/backend/open_webui/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..de34a8bc769c70de9a097ad863f1e6a1dbb29dbb --- /dev/null +++ b/backend/open_webui/__init__.py @@ -0,0 +1,77 @@ +import base64 +import os +import random +from pathlib import Path + +import typer +import uvicorn + +app = typer.Typer() + +KEY_FILE = Path.cwd() / ".webui_secret_key" + + +@app.command() +def serve( + host: str = "0.0.0.0", + port: int = 8080, +): + os.environ["FROM_INIT_PY"] = "true" + if os.getenv("WEBUI_SECRET_KEY") is None: + typer.echo( + "Loading WEBUI_SECRET_KEY from file, not provided as an environment variable." + ) + if not KEY_FILE.exists(): + typer.echo(f"Generating a new secret key and saving it to {KEY_FILE}") + KEY_FILE.write_bytes(base64.b64encode(random.randbytes(12))) + typer.echo(f"Loading WEBUI_SECRET_KEY from {KEY_FILE}") + os.environ["WEBUI_SECRET_KEY"] = KEY_FILE.read_text() + + if os.getenv("USE_CUDA_DOCKER", "false") == "true": + typer.echo( + "CUDA is enabled, appending LD_LIBRARY_PATH to include torch/cudnn & cublas libraries." + ) + LD_LIBRARY_PATH = os.getenv("LD_LIBRARY_PATH", "").split(":") + os.environ["LD_LIBRARY_PATH"] = ":".join( + LD_LIBRARY_PATH + + [ + "/usr/local/lib/python3.11/site-packages/torch/lib", + "/usr/local/lib/python3.11/site-packages/nvidia/cudnn/lib", + ] + ) + try: + import torch + + assert torch.cuda.is_available(), "CUDA not available" + typer.echo("CUDA seems to be working") + except Exception as e: + typer.echo( + "Error when testing CUDA but USE_CUDA_DOCKER is true. " + "Resetting USE_CUDA_DOCKER to false and removing " + f"LD_LIBRARY_PATH modifications: {e}" + ) + os.environ["USE_CUDA_DOCKER"] = "false" + os.environ["LD_LIBRARY_PATH"] = ":".join(LD_LIBRARY_PATH) + + import open_webui.main # we need set environment variables before importing main + + uvicorn.run(open_webui.main.app, host=host, port=port, forwarded_allow_ips="*") + + +@app.command() +def dev( + host: str = "0.0.0.0", + port: int = 8080, + reload: bool = True, +): + uvicorn.run( + "open_webui.main:app", + host=host, + port=port, + reload=reload, + forwarded_allow_ips="*", + ) + + +if __name__ == "__main__": + app() diff --git a/backend/open_webui/alembic.ini b/backend/open_webui/alembic.ini new file mode 100644 index 0000000000000000000000000000000000000000..4eff85f0c621c16f5afc80a4d92dc75da1483ac8 --- /dev/null +++ b/backend/open_webui/alembic.ini @@ -0,0 +1,114 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +script_location = migrations + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python>=3.9 or backports.zoneinfo library. +# Any required deps can installed by adding `alembic[tz]` to the pip requirements +# string value is passed to ZoneInfo() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the +# "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to migrations/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:migrations/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +version_path_separator = os # Use os.pathsep. Default configuration used for new projects. + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +# sqlalchemy.url = REPLACE_WITH_DATABASE_URL + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# lint with attempts to fix using "ruff" - use the exec runner, execute a binary +# hooks = ruff +# ruff.type = exec +# ruff.executable = %(here)s/.venv/bin/ruff +# ruff.options = --fix REVISION_SCRIPT_FILENAME + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/backend/open_webui/apps/audio/main.py b/backend/open_webui/apps/audio/main.py new file mode 100644 index 0000000000000000000000000000000000000000..50ffad12be8307d349df88aafbea13b3cd577192 --- /dev/null +++ b/backend/open_webui/apps/audio/main.py @@ -0,0 +1,641 @@ +import hashlib +import json +import logging +import os +import uuid +from functools import lru_cache +from pathlib import Path +from pydub import AudioSegment +from pydub.silence import split_on_silence + +import requests +from open_webui.config import ( + AUDIO_STT_ENGINE, + AUDIO_STT_MODEL, + AUDIO_STT_OPENAI_API_BASE_URL, + AUDIO_STT_OPENAI_API_KEY, + AUDIO_TTS_API_KEY, + AUDIO_TTS_ENGINE, + AUDIO_TTS_MODEL, + AUDIO_TTS_OPENAI_API_BASE_URL, + AUDIO_TTS_OPENAI_API_KEY, + AUDIO_TTS_SPLIT_ON, + AUDIO_TTS_VOICE, + AUDIO_TTS_AZURE_SPEECH_REGION, + AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT, + CACHE_DIR, + CORS_ALLOW_ORIGIN, + WHISPER_MODEL, + WHISPER_MODEL_AUTO_UPDATE, + WHISPER_MODEL_DIR, + AppConfig, +) + +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import ENV, SRC_LOG_LEVELS, DEVICE_TYPE +from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile, status +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse +from pydantic import BaseModel +from open_webui.utils.utils import get_admin_user, get_verified_user + +# Constants +MAX_FILE_SIZE_MB = 25 +MAX_FILE_SIZE = MAX_FILE_SIZE_MB * 1024 * 1024 # Convert MB to bytes + + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["AUDIO"]) + +app = FastAPI(docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None) + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.state.config = AppConfig() + +app.state.config.STT_OPENAI_API_BASE_URL = AUDIO_STT_OPENAI_API_BASE_URL +app.state.config.STT_OPENAI_API_KEY = AUDIO_STT_OPENAI_API_KEY +app.state.config.STT_ENGINE = AUDIO_STT_ENGINE +app.state.config.STT_MODEL = AUDIO_STT_MODEL + +app.state.config.WHISPER_MODEL = WHISPER_MODEL +app.state.faster_whisper_model = None + +app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL +app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY +app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE +app.state.config.TTS_MODEL = AUDIO_TTS_MODEL +app.state.config.TTS_VOICE = AUDIO_TTS_VOICE +app.state.config.TTS_API_KEY = AUDIO_TTS_API_KEY +app.state.config.TTS_SPLIT_ON = AUDIO_TTS_SPLIT_ON + +app.state.config.TTS_AZURE_SPEECH_REGION = AUDIO_TTS_AZURE_SPEECH_REGION +app.state.config.TTS_AZURE_SPEECH_OUTPUT_FORMAT = AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT + +# setting device type for whisper model +whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu" +log.info(f"whisper_device_type: {whisper_device_type}") + +SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/") +SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True) + + +def set_faster_whisper_model(model: str, auto_update: bool = False): + if model and app.state.config.STT_ENGINE == "": + from faster_whisper import WhisperModel + + faster_whisper_kwargs = { + "model_size_or_path": model, + "device": whisper_device_type, + "compute_type": "int8", + "download_root": WHISPER_MODEL_DIR, + "local_files_only": not auto_update, + } + + try: + app.state.faster_whisper_model = WhisperModel(**faster_whisper_kwargs) + except Exception: + log.warning( + "WhisperModel initialization failed, attempting download with local_files_only=False" + ) + faster_whisper_kwargs["local_files_only"] = False + app.state.faster_whisper_model = WhisperModel(**faster_whisper_kwargs) + + else: + app.state.faster_whisper_model = None + + +class TTSConfigForm(BaseModel): + OPENAI_API_BASE_URL: str + OPENAI_API_KEY: str + API_KEY: str + ENGINE: str + MODEL: str + VOICE: str + SPLIT_ON: str + AZURE_SPEECH_REGION: str + AZURE_SPEECH_OUTPUT_FORMAT: str + + +class STTConfigForm(BaseModel): + OPENAI_API_BASE_URL: str + OPENAI_API_KEY: str + ENGINE: str + MODEL: str + WHISPER_MODEL: str + + +class AudioConfigUpdateForm(BaseModel): + tts: TTSConfigForm + stt: STTConfigForm + + +from pydub import AudioSegment +from pydub.utils import mediainfo + + +def is_mp4_audio(file_path): + """Check if the given file is an MP4 audio file.""" + if not os.path.isfile(file_path): + print(f"File not found: {file_path}") + return False + + info = mediainfo(file_path) + if ( + info.get("codec_name") == "aac" + and info.get("codec_type") == "audio" + and info.get("codec_tag_string") == "mp4a" + ): + return True + return False + + +def convert_mp4_to_wav(file_path, output_path): + """Convert MP4 audio file to WAV format.""" + audio = AudioSegment.from_file(file_path, format="mp4") + audio.export(output_path, format="wav") + print(f"Converted {file_path} to {output_path}") + + +@app.get("/config") +async def get_audio_config(user=Depends(get_admin_user)): + return { + "tts": { + "OPENAI_API_BASE_URL": app.state.config.TTS_OPENAI_API_BASE_URL, + "OPENAI_API_KEY": app.state.config.TTS_OPENAI_API_KEY, + "API_KEY": app.state.config.TTS_API_KEY, + "ENGINE": app.state.config.TTS_ENGINE, + "MODEL": app.state.config.TTS_MODEL, + "VOICE": app.state.config.TTS_VOICE, + "SPLIT_ON": app.state.config.TTS_SPLIT_ON, + "AZURE_SPEECH_REGION": app.state.config.TTS_AZURE_SPEECH_REGION, + "AZURE_SPEECH_OUTPUT_FORMAT": app.state.config.TTS_AZURE_SPEECH_OUTPUT_FORMAT, + }, + "stt": { + "OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL, + "OPENAI_API_KEY": app.state.config.STT_OPENAI_API_KEY, + "ENGINE": app.state.config.STT_ENGINE, + "MODEL": app.state.config.STT_MODEL, + "WHISPER_MODEL": app.state.config.WHISPER_MODEL, + }, + } + + +@app.post("/config/update") +async def update_audio_config( + form_data: AudioConfigUpdateForm, user=Depends(get_admin_user) +): + app.state.config.TTS_OPENAI_API_BASE_URL = form_data.tts.OPENAI_API_BASE_URL + app.state.config.TTS_OPENAI_API_KEY = form_data.tts.OPENAI_API_KEY + app.state.config.TTS_API_KEY = form_data.tts.API_KEY + app.state.config.TTS_ENGINE = form_data.tts.ENGINE + app.state.config.TTS_MODEL = form_data.tts.MODEL + app.state.config.TTS_VOICE = form_data.tts.VOICE + app.state.config.TTS_SPLIT_ON = form_data.tts.SPLIT_ON + app.state.config.TTS_AZURE_SPEECH_REGION = form_data.tts.AZURE_SPEECH_REGION + app.state.config.TTS_AZURE_SPEECH_OUTPUT_FORMAT = ( + form_data.tts.AZURE_SPEECH_OUTPUT_FORMAT + ) + + app.state.config.STT_OPENAI_API_BASE_URL = form_data.stt.OPENAI_API_BASE_URL + app.state.config.STT_OPENAI_API_KEY = form_data.stt.OPENAI_API_KEY + app.state.config.STT_ENGINE = form_data.stt.ENGINE + app.state.config.STT_MODEL = form_data.stt.MODEL + app.state.config.WHISPER_MODEL = form_data.stt.WHISPER_MODEL + set_faster_whisper_model(form_data.stt.WHISPER_MODEL, WHISPER_MODEL_AUTO_UPDATE) + + return { + "tts": { + "OPENAI_API_BASE_URL": app.state.config.TTS_OPENAI_API_BASE_URL, + "OPENAI_API_KEY": app.state.config.TTS_OPENAI_API_KEY, + "API_KEY": app.state.config.TTS_API_KEY, + "ENGINE": app.state.config.TTS_ENGINE, + "MODEL": app.state.config.TTS_MODEL, + "VOICE": app.state.config.TTS_VOICE, + "SPLIT_ON": app.state.config.TTS_SPLIT_ON, + "AZURE_SPEECH_REGION": app.state.config.TTS_AZURE_SPEECH_REGION, + "AZURE_SPEECH_OUTPUT_FORMAT": app.state.config.TTS_AZURE_SPEECH_OUTPUT_FORMAT, + }, + "stt": { + "OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL, + "OPENAI_API_KEY": app.state.config.STT_OPENAI_API_KEY, + "ENGINE": app.state.config.STT_ENGINE, + "MODEL": app.state.config.STT_MODEL, + "WHISPER_MODEL": app.state.config.WHISPER_MODEL, + }, + } + + +@app.post("/speech") +async def speech(request: Request, user=Depends(get_verified_user)): + body = await request.body() + name = hashlib.sha256(body).hexdigest() + + file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3") + file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json") + + # Check if the file already exists in the cache + if file_path.is_file(): + return FileResponse(file_path) + + if app.state.config.TTS_ENGINE == "openai": + headers = {} + headers["Authorization"] = f"Bearer {app.state.config.TTS_OPENAI_API_KEY}" + headers["Content-Type"] = "application/json" + + try: + body = body.decode("utf-8") + body = json.loads(body) + body["model"] = app.state.config.TTS_MODEL + body = json.dumps(body).encode("utf-8") + except Exception: + pass + + r = None + try: + r = requests.post( + url=f"{app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech", + data=body, + headers=headers, + stream=True, + ) + + r.raise_for_status() + + # Save the streaming content to a file + with open(file_path, "wb") as f: + for chunk in r.iter_content(chunk_size=8192): + f.write(chunk) + + with open(file_body_path, "w") as f: + json.dump(json.loads(body.decode("utf-8")), f) + + # Return the saved file + return FileResponse(file_path) + + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"External: {res['error']['message']}" + except Exception: + error_detail = f"External: {e}" + + raise HTTPException( + status_code=r.status_code if r != None else 500, + detail=error_detail, + ) + + elif app.state.config.TTS_ENGINE == "elevenlabs": + payload = None + try: + payload = json.loads(body.decode("utf-8")) + except Exception as e: + log.exception(e) + raise HTTPException(status_code=400, detail="Invalid JSON payload") + + voice_id = payload.get("voice", "") + + if voice_id not in get_available_voices(): + raise HTTPException( + status_code=400, + detail="Invalid voice id", + ) + + url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}" + + headers = { + "Accept": "audio/mpeg", + "Content-Type": "application/json", + "xi-api-key": app.state.config.TTS_API_KEY, + } + + data = { + "text": payload["input"], + "model_id": app.state.config.TTS_MODEL, + "voice_settings": {"stability": 0.5, "similarity_boost": 0.5}, + } + + try: + r = requests.post(url, json=data, headers=headers) + + r.raise_for_status() + + # Save the streaming content to a file + with open(file_path, "wb") as f: + for chunk in r.iter_content(chunk_size=8192): + f.write(chunk) + + with open(file_body_path, "w") as f: + json.dump(json.loads(body.decode("utf-8")), f) + + # Return the saved file + return FileResponse(file_path) + + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"External: {res['error']['message']}" + except Exception: + error_detail = f"External: {e}" + + raise HTTPException( + status_code=r.status_code if r != None else 500, + detail=error_detail, + ) + + elif app.state.config.TTS_ENGINE == "azure": + payload = None + try: + payload = json.loads(body.decode("utf-8")) + except Exception as e: + log.exception(e) + raise HTTPException(status_code=400, detail="Invalid JSON payload") + + region = app.state.config.TTS_AZURE_SPEECH_REGION + language = app.state.config.TTS_VOICE + locale = "-".join(app.state.config.TTS_VOICE.split("-")[:1]) + output_format = app.state.config.TTS_AZURE_SPEECH_OUTPUT_FORMAT + url = f"https://{region}.tts.speech.microsoft.com/cognitiveservices/v1" + + headers = { + "Ocp-Apim-Subscription-Key": app.state.config.TTS_API_KEY, + "Content-Type": "application/ssml+xml", + "X-Microsoft-OutputFormat": output_format, + } + + data = f""" + {payload["input"]} + """ + + response = requests.post(url, headers=headers, data=data) + + if response.status_code == 200: + with open(file_path, "wb") as f: + f.write(response.content) + return FileResponse(file_path) + else: + log.error(f"Error synthesizing speech - {response.reason}") + raise HTTPException( + status_code=500, detail=f"Error synthesizing speech - {response.reason}" + ) + + +def transcribe(file_path): + print("transcribe", file_path) + filename = os.path.basename(file_path) + file_dir = os.path.dirname(file_path) + id = filename.split(".")[0] + + if app.state.config.STT_ENGINE == "": + if app.state.faster_whisper_model is None: + set_faster_whisper_model(app.state.config.WHISPER_MODEL) + + model = app.state.faster_whisper_model + segments, info = model.transcribe(file_path, beam_size=5) + log.info( + "Detected language '%s' with probability %f" + % (info.language, info.language_probability) + ) + + transcript = "".join([segment.text for segment in list(segments)]) + data = {"text": transcript.strip()} + + # save the transcript to a json file + transcript_file = f"{file_dir}/{id}.json" + with open(transcript_file, "w") as f: + json.dump(data, f) + + log.debug(data) + return data + elif app.state.config.STT_ENGINE == "openai": + if is_mp4_audio(file_path): + print("is_mp4_audio") + os.rename(file_path, file_path.replace(".wav", ".mp4")) + # Convert MP4 audio file to WAV format + convert_mp4_to_wav(file_path.replace(".wav", ".mp4"), file_path) + + headers = {"Authorization": f"Bearer {app.state.config.STT_OPENAI_API_KEY}"} + + files = {"file": (filename, open(file_path, "rb"))} + data = {"model": app.state.config.STT_MODEL} + + log.debug(files, data) + + r = None + try: + r = requests.post( + url=f"{app.state.config.STT_OPENAI_API_BASE_URL}/audio/transcriptions", + headers=headers, + files=files, + data=data, + ) + + r.raise_for_status() + + data = r.json() + + # save the transcript to a json file + transcript_file = f"{file_dir}/{id}.json" + with open(transcript_file, "w") as f: + json.dump(data, f) + + print(data) + return data + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"External: {res['error']['message']}" + except Exception: + error_detail = f"External: {e}" + + raise Exception(error_detail) + + +@app.post("/transcriptions") +def transcription( + file: UploadFile = File(...), + user=Depends(get_verified_user), +): + log.info(f"file.content_type: {file.content_type}") + + if file.content_type not in ["audio/mpeg", "audio/wav", "audio/ogg", "audio/x-m4a"]: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED, + ) + + try: + ext = file.filename.split(".")[-1] + id = uuid.uuid4() + + filename = f"{id}.{ext}" + contents = file.file.read() + + file_dir = f"{CACHE_DIR}/audio/transcriptions" + os.makedirs(file_dir, exist_ok=True) + file_path = f"{file_dir}/{filename}" + + with open(file_path, "wb") as f: + f.write(contents) + + try: + if os.path.getsize(file_path) > MAX_FILE_SIZE: # file is bigger than 25MB + log.debug(f"File size is larger than {MAX_FILE_SIZE_MB}MB") + audio = AudioSegment.from_file(file_path) + audio = audio.set_frame_rate(16000).set_channels(1) # Compress audio + compressed_path = f"{file_dir}/{id}_compressed.opus" + audio.export(compressed_path, format="opus", bitrate="32k") + log.debug(f"Compressed audio to {compressed_path}") + file_path = compressed_path + + if ( + os.path.getsize(file_path) > MAX_FILE_SIZE + ): # Still larger than 25MB after compression + log.debug( + f"Compressed file size is still larger than {MAX_FILE_SIZE_MB}MB: {os.path.getsize(file_path)}" + ) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.FILE_TOO_LARGE( + size=f"{MAX_FILE_SIZE_MB}MB" + ), + ) + + data = transcribe(file_path) + else: + data = transcribe(file_path) + + file_path = file_path.split("/")[-1] + return {**data, "filename": file_path} + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + except Exception as e: + log.exception(e) + + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +def get_available_models() -> list[dict]: + if app.state.config.TTS_ENGINE == "openai": + return [{"id": "tts-1"}, {"id": "tts-1-hd"}] + elif app.state.config.TTS_ENGINE == "elevenlabs": + headers = { + "xi-api-key": app.state.config.TTS_API_KEY, + "Content-Type": "application/json", + } + + try: + response = requests.get( + "https://api.elevenlabs.io/v1/models", headers=headers, timeout=5 + ) + response.raise_for_status() + models = response.json() + return [ + {"name": model["name"], "id": model["model_id"]} for model in models + ] + except requests.RequestException as e: + log.error(f"Error fetching voices: {str(e)}") + return [] + + +@app.get("/models") +async def get_models(user=Depends(get_verified_user)): + return {"models": get_available_models()} + + +def get_available_voices() -> dict: + """Returns {voice_id: voice_name} dict""" + ret = {} + if app.state.config.TTS_ENGINE == "openai": + ret = { + "alloy": "alloy", + "echo": "echo", + "fable": "fable", + "onyx": "onyx", + "nova": "nova", + "shimmer": "shimmer", + } + elif app.state.config.TTS_ENGINE == "elevenlabs": + try: + ret = get_elevenlabs_voices() + except Exception: + # Avoided @lru_cache with exception + pass + elif app.state.config.TTS_ENGINE == "azure": + try: + region = app.state.config.TTS_AZURE_SPEECH_REGION + url = f"https://{region}.tts.speech.microsoft.com/cognitiveservices/voices/list" + headers = {"Ocp-Apim-Subscription-Key": app.state.config.TTS_API_KEY} + + response = requests.get(url, headers=headers) + response.raise_for_status() + voices = response.json() + for voice in voices: + ret[voice["ShortName"]] = ( + f"{voice['DisplayName']} ({voice['ShortName']})" + ) + except requests.RequestException as e: + log.error(f"Error fetching voices: {str(e)}") + + return ret + + +@lru_cache +def get_elevenlabs_voices() -> dict: + """ + Note, set the following in your .env file to use Elevenlabs: + AUDIO_TTS_ENGINE=elevenlabs + AUDIO_TTS_API_KEY=sk_... # Your Elevenlabs API key + AUDIO_TTS_VOICE=EXAVITQu4vr4xnSDxMaL # From https://api.elevenlabs.io/v1/voices + AUDIO_TTS_MODEL=eleven_multilingual_v2 + """ + headers = { + "xi-api-key": app.state.config.TTS_API_KEY, + "Content-Type": "application/json", + } + try: + # TODO: Add retries + response = requests.get("https://api.elevenlabs.io/v1/voices", headers=headers) + response.raise_for_status() + voices_data = response.json() + + voices = {} + for voice in voices_data.get("voices", []): + voices[voice["voice_id"]] = voice["name"] + except requests.RequestException as e: + # Avoid @lru_cache with exception + log.error(f"Error fetching voices: {str(e)}") + raise RuntimeError(f"Error fetching voices: {str(e)}") + + return voices + + +@app.get("/voices") +async def get_voices(user=Depends(get_verified_user)): + return {"voices": [{"id": k, "name": v} for k, v in get_available_voices().items()]} diff --git a/backend/open_webui/apps/images/main.py b/backend/open_webui/apps/images/main.py new file mode 100644 index 0000000000000000000000000000000000000000..56b251ef6f9df63e67c6af71e9637a7fb817a962 --- /dev/null +++ b/backend/open_webui/apps/images/main.py @@ -0,0 +1,598 @@ +import asyncio +import base64 +import json +import logging +import mimetypes +import re +import uuid +from pathlib import Path +from typing import Optional + +import requests +from open_webui.apps.images.utils.comfyui import ( + ComfyUIGenerateImageForm, + ComfyUIWorkflow, + comfyui_generate_image, +) +from open_webui.config import ( + AUTOMATIC1111_API_AUTH, + AUTOMATIC1111_BASE_URL, + AUTOMATIC1111_CFG_SCALE, + AUTOMATIC1111_SAMPLER, + AUTOMATIC1111_SCHEDULER, + CACHE_DIR, + COMFYUI_BASE_URL, + COMFYUI_WORKFLOW, + COMFYUI_WORKFLOW_NODES, + CORS_ALLOW_ORIGIN, + ENABLE_IMAGE_GENERATION, + IMAGE_GENERATION_ENGINE, + IMAGE_GENERATION_MODEL, + IMAGE_SIZE, + IMAGE_STEPS, + IMAGES_OPENAI_API_BASE_URL, + IMAGES_OPENAI_API_KEY, + AppConfig, +) +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import ENV, SRC_LOG_LEVELS +from fastapi import Depends, FastAPI, HTTPException, Request +from fastapi.middleware.cors import CORSMiddleware +from pydantic import BaseModel +from open_webui.utils.utils import get_admin_user, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["IMAGES"]) + +IMAGE_CACHE_DIR = Path(CACHE_DIR).joinpath("./image/generations/") +IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True) + +app = FastAPI(docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None) + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.state.config = AppConfig() + +app.state.config.ENGINE = IMAGE_GENERATION_ENGINE +app.state.config.ENABLED = ENABLE_IMAGE_GENERATION + +app.state.config.OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL +app.state.config.OPENAI_API_KEY = IMAGES_OPENAI_API_KEY + +app.state.config.MODEL = IMAGE_GENERATION_MODEL + +app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL +app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH +app.state.config.AUTOMATIC1111_CFG_SCALE = AUTOMATIC1111_CFG_SCALE +app.state.config.AUTOMATIC1111_SAMPLER = AUTOMATIC1111_SAMPLER +app.state.config.AUTOMATIC1111_SCHEDULER = AUTOMATIC1111_SCHEDULER +app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL +app.state.config.COMFYUI_WORKFLOW = COMFYUI_WORKFLOW +app.state.config.COMFYUI_WORKFLOW_NODES = COMFYUI_WORKFLOW_NODES + +app.state.config.IMAGE_SIZE = IMAGE_SIZE +app.state.config.IMAGE_STEPS = IMAGE_STEPS + + +@app.get("/config") +async def get_config(request: Request, user=Depends(get_admin_user)): + return { + "enabled": app.state.config.ENABLED, + "engine": app.state.config.ENGINE, + "openai": { + "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL, + "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY, + }, + "automatic1111": { + "AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL, + "AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH, + "AUTOMATIC1111_CFG_SCALE": app.state.config.AUTOMATIC1111_CFG_SCALE, + "AUTOMATIC1111_SAMPLER": app.state.config.AUTOMATIC1111_SAMPLER, + "AUTOMATIC1111_SCHEDULER": app.state.config.AUTOMATIC1111_SCHEDULER, + }, + "comfyui": { + "COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL, + "COMFYUI_WORKFLOW": app.state.config.COMFYUI_WORKFLOW, + "COMFYUI_WORKFLOW_NODES": app.state.config.COMFYUI_WORKFLOW_NODES, + }, + } + + +class OpenAIConfigForm(BaseModel): + OPENAI_API_BASE_URL: str + OPENAI_API_KEY: str + + +class Automatic1111ConfigForm(BaseModel): + AUTOMATIC1111_BASE_URL: str + AUTOMATIC1111_API_AUTH: str + AUTOMATIC1111_CFG_SCALE: Optional[str] + AUTOMATIC1111_SAMPLER: Optional[str] + AUTOMATIC1111_SCHEDULER: Optional[str] + + +class ComfyUIConfigForm(BaseModel): + COMFYUI_BASE_URL: str + COMFYUI_WORKFLOW: str + COMFYUI_WORKFLOW_NODES: list[dict] + + +class ConfigForm(BaseModel): + enabled: bool + engine: str + openai: OpenAIConfigForm + automatic1111: Automatic1111ConfigForm + comfyui: ComfyUIConfigForm + + +@app.post("/config/update") +async def update_config(form_data: ConfigForm, user=Depends(get_admin_user)): + app.state.config.ENGINE = form_data.engine + app.state.config.ENABLED = form_data.enabled + + app.state.config.OPENAI_API_BASE_URL = form_data.openai.OPENAI_API_BASE_URL + app.state.config.OPENAI_API_KEY = form_data.openai.OPENAI_API_KEY + + app.state.config.AUTOMATIC1111_BASE_URL = ( + form_data.automatic1111.AUTOMATIC1111_BASE_URL + ) + app.state.config.AUTOMATIC1111_API_AUTH = ( + form_data.automatic1111.AUTOMATIC1111_API_AUTH + ) + + app.state.config.AUTOMATIC1111_CFG_SCALE = ( + float(form_data.automatic1111.AUTOMATIC1111_CFG_SCALE) + if form_data.automatic1111.AUTOMATIC1111_CFG_SCALE + else None + ) + app.state.config.AUTOMATIC1111_SAMPLER = ( + form_data.automatic1111.AUTOMATIC1111_SAMPLER + if form_data.automatic1111.AUTOMATIC1111_SAMPLER + else None + ) + app.state.config.AUTOMATIC1111_SCHEDULER = ( + form_data.automatic1111.AUTOMATIC1111_SCHEDULER + if form_data.automatic1111.AUTOMATIC1111_SCHEDULER + else None + ) + + app.state.config.COMFYUI_BASE_URL = form_data.comfyui.COMFYUI_BASE_URL.strip("/") + app.state.config.COMFYUI_WORKFLOW = form_data.comfyui.COMFYUI_WORKFLOW + app.state.config.COMFYUI_WORKFLOW_NODES = form_data.comfyui.COMFYUI_WORKFLOW_NODES + + return { + "enabled": app.state.config.ENABLED, + "engine": app.state.config.ENGINE, + "openai": { + "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL, + "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY, + }, + "automatic1111": { + "AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL, + "AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH, + "AUTOMATIC1111_CFG_SCALE": app.state.config.AUTOMATIC1111_CFG_SCALE, + "AUTOMATIC1111_SAMPLER": app.state.config.AUTOMATIC1111_SAMPLER, + "AUTOMATIC1111_SCHEDULER": app.state.config.AUTOMATIC1111_SCHEDULER, + }, + "comfyui": { + "COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL, + "COMFYUI_WORKFLOW": app.state.config.COMFYUI_WORKFLOW, + "COMFYUI_WORKFLOW_NODES": app.state.config.COMFYUI_WORKFLOW_NODES, + }, + } + + +def get_automatic1111_api_auth(): + if app.state.config.AUTOMATIC1111_API_AUTH is None: + return "" + else: + auth1111_byte_string = app.state.config.AUTOMATIC1111_API_AUTH.encode("utf-8") + auth1111_base64_encoded_bytes = base64.b64encode(auth1111_byte_string) + auth1111_base64_encoded_string = auth1111_base64_encoded_bytes.decode("utf-8") + return f"Basic {auth1111_base64_encoded_string}" + + +@app.get("/config/url/verify") +async def verify_url(user=Depends(get_admin_user)): + if app.state.config.ENGINE == "automatic1111": + try: + r = requests.get( + url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", + headers={"authorization": get_automatic1111_api_auth()}, + ) + r.raise_for_status() + return True + except Exception: + app.state.config.ENABLED = False + raise HTTPException(status_code=400, detail=ERROR_MESSAGES.INVALID_URL) + elif app.state.config.ENGINE == "comfyui": + try: + r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info") + r.raise_for_status() + return True + except Exception: + app.state.config.ENABLED = False + raise HTTPException(status_code=400, detail=ERROR_MESSAGES.INVALID_URL) + else: + return True + + +def set_image_model(model: str): + log.info(f"Setting image model to {model}") + app.state.config.MODEL = model + if app.state.config.ENGINE in ["", "automatic1111"]: + api_auth = get_automatic1111_api_auth() + r = requests.get( + url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", + headers={"authorization": api_auth}, + ) + options = r.json() + if model != options["sd_model_checkpoint"]: + options["sd_model_checkpoint"] = model + r = requests.post( + url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", + json=options, + headers={"authorization": api_auth}, + ) + return app.state.config.MODEL + + +def get_image_model(): + if app.state.config.ENGINE == "openai": + return app.state.config.MODEL if app.state.config.MODEL else "dall-e-2" + elif app.state.config.ENGINE == "comfyui": + return app.state.config.MODEL if app.state.config.MODEL else "" + elif app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == "": + try: + r = requests.get( + url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", + headers={"authorization": get_automatic1111_api_auth()}, + ) + options = r.json() + return options["sd_model_checkpoint"] + except Exception as e: + app.state.config.ENABLED = False + raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e)) + + +class ImageConfigForm(BaseModel): + MODEL: str + IMAGE_SIZE: str + IMAGE_STEPS: int + + +@app.get("/image/config") +async def get_image_config(user=Depends(get_admin_user)): + return { + "MODEL": app.state.config.MODEL, + "IMAGE_SIZE": app.state.config.IMAGE_SIZE, + "IMAGE_STEPS": app.state.config.IMAGE_STEPS, + } + + +@app.post("/image/config/update") +async def update_image_config(form_data: ImageConfigForm, user=Depends(get_admin_user)): + + set_image_model(form_data.MODEL) + + pattern = r"^\d+x\d+$" + if re.match(pattern, form_data.IMAGE_SIZE): + app.state.config.IMAGE_SIZE = form_data.IMAGE_SIZE + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.INCORRECT_FORMAT(" (e.g., 512x512)."), + ) + + if form_data.IMAGE_STEPS >= 0: + app.state.config.IMAGE_STEPS = form_data.IMAGE_STEPS + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.INCORRECT_FORMAT(" (e.g., 50)."), + ) + + return { + "MODEL": app.state.config.MODEL, + "IMAGE_SIZE": app.state.config.IMAGE_SIZE, + "IMAGE_STEPS": app.state.config.IMAGE_STEPS, + } + + +@app.get("/models") +def get_models(user=Depends(get_verified_user)): + try: + if app.state.config.ENGINE == "openai": + return [ + {"id": "dall-e-2", "name": "DALL·E 2"}, + {"id": "dall-e-3", "name": "DALL·E 3"}, + ] + elif app.state.config.ENGINE == "comfyui": + # TODO - get models from comfyui + r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info") + info = r.json() + + workflow = json.loads(app.state.config.COMFYUI_WORKFLOW) + model_node_id = None + + for node in app.state.config.COMFYUI_WORKFLOW_NODES: + if node["type"] == "model": + if node["node_ids"]: + model_node_id = node["node_ids"][0] + break + + if model_node_id: + model_list_key = None + + print(workflow[model_node_id]["class_type"]) + for key in info[workflow[model_node_id]["class_type"]]["input"][ + "required" + ]: + if "_name" in key: + model_list_key = key + break + + if model_list_key: + return list( + map( + lambda model: {"id": model, "name": model}, + info[workflow[model_node_id]["class_type"]]["input"][ + "required" + ][model_list_key][0], + ) + ) + else: + return list( + map( + lambda model: {"id": model, "name": model}, + info["CheckpointLoaderSimple"]["input"]["required"][ + "ckpt_name" + ][0], + ) + ) + elif ( + app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == "" + ): + r = requests.get( + url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models", + headers={"authorization": get_automatic1111_api_auth()}, + ) + models = r.json() + return list( + map( + lambda model: {"id": model["title"], "name": model["model_name"]}, + models, + ) + ) + except Exception as e: + app.state.config.ENABLED = False + raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e)) + + +class GenerateImageForm(BaseModel): + model: Optional[str] = None + prompt: str + size: Optional[str] = None + n: int = 1 + negative_prompt: Optional[str] = None + + +def save_b64_image(b64_str): + try: + image_id = str(uuid.uuid4()) + + if "," in b64_str: + header, encoded = b64_str.split(",", 1) + mime_type = header.split(";")[0] + + img_data = base64.b64decode(encoded) + image_format = mimetypes.guess_extension(mime_type) + + image_filename = f"{image_id}{image_format}" + file_path = IMAGE_CACHE_DIR / f"{image_filename}" + with open(file_path, "wb") as f: + f.write(img_data) + return image_filename + else: + image_filename = f"{image_id}.png" + file_path = IMAGE_CACHE_DIR.joinpath(image_filename) + + img_data = base64.b64decode(b64_str) + + # Write the image data to a file + with open(file_path, "wb") as f: + f.write(img_data) + return image_filename + + except Exception as e: + log.exception(f"Error saving image: {e}") + return None + + +def save_url_image(url): + image_id = str(uuid.uuid4()) + try: + r = requests.get(url) + r.raise_for_status() + if r.headers["content-type"].split("/")[0] == "image": + mime_type = r.headers["content-type"] + image_format = mimetypes.guess_extension(mime_type) + + if not image_format: + raise ValueError("Could not determine image type from MIME type") + + image_filename = f"{image_id}{image_format}" + + file_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}") + with open(file_path, "wb") as image_file: + for chunk in r.iter_content(chunk_size=8192): + image_file.write(chunk) + return image_filename + else: + log.error("Url does not point to an image.") + return None + + except Exception as e: + log.exception(f"Error saving image: {e}") + return None + + +@app.post("/generations") +async def image_generations( + form_data: GenerateImageForm, + user=Depends(get_verified_user), +): + width, height = tuple(map(int, app.state.config.IMAGE_SIZE.split("x"))) + + r = None + try: + if app.state.config.ENGINE == "openai": + headers = {} + headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEY}" + headers["Content-Type"] = "application/json" + + data = { + "model": ( + app.state.config.MODEL + if app.state.config.MODEL != "" + else "dall-e-2" + ), + "prompt": form_data.prompt, + "n": form_data.n, + "size": ( + form_data.size if form_data.size else app.state.config.IMAGE_SIZE + ), + "response_format": "b64_json", + } + + # Use asyncio.to_thread for the requests.post call + r = await asyncio.to_thread( + requests.post, + url=f"{app.state.config.OPENAI_API_BASE_URL}/images/generations", + json=data, + headers=headers, + ) + + r.raise_for_status() + res = r.json() + + images = [] + + for image in res["data"]: + image_filename = save_b64_image(image["b64_json"]) + images.append({"url": f"/cache/image/generations/{image_filename}"}) + file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json") + + with open(file_body_path, "w") as f: + json.dump(data, f) + + return images + + elif app.state.config.ENGINE == "comfyui": + data = { + "prompt": form_data.prompt, + "width": width, + "height": height, + "n": form_data.n, + } + + if app.state.config.IMAGE_STEPS is not None: + data["steps"] = app.state.config.IMAGE_STEPS + + if form_data.negative_prompt is not None: + data["negative_prompt"] = form_data.negative_prompt + + form_data = ComfyUIGenerateImageForm( + **{ + "workflow": ComfyUIWorkflow( + **{ + "workflow": app.state.config.COMFYUI_WORKFLOW, + "nodes": app.state.config.COMFYUI_WORKFLOW_NODES, + } + ), + **data, + } + ) + res = await comfyui_generate_image( + app.state.config.MODEL, + form_data, + user.id, + app.state.config.COMFYUI_BASE_URL, + ) + log.debug(f"res: {res}") + + images = [] + + for image in res["data"]: + image_filename = save_url_image(image["url"]) + images.append({"url": f"/cache/image/generations/{image_filename}"}) + file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json") + + with open(file_body_path, "w") as f: + json.dump(form_data.model_dump(exclude_none=True), f) + + log.debug(f"images: {images}") + return images + elif ( + app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == "" + ): + if form_data.model: + set_image_model(form_data.model) + + data = { + "prompt": form_data.prompt, + "batch_size": form_data.n, + "width": width, + "height": height, + } + + if app.state.config.IMAGE_STEPS is not None: + data["steps"] = app.state.config.IMAGE_STEPS + + if form_data.negative_prompt is not None: + data["negative_prompt"] = form_data.negative_prompt + + if app.state.config.AUTOMATIC1111_CFG_SCALE: + data["cfg_scale"] = app.state.config.AUTOMATIC1111_CFG_SCALE + + if app.state.config.AUTOMATIC1111_SAMPLER: + data["sampler_name"] = app.state.config.AUTOMATIC1111_SAMPLER + + if app.state.config.AUTOMATIC1111_SCHEDULER: + data["scheduler"] = app.state.config.AUTOMATIC1111_SCHEDULER + + # Use asyncio.to_thread for the requests.post call + r = await asyncio.to_thread( + requests.post, + url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img", + json=data, + headers={"authorization": get_automatic1111_api_auth()}, + ) + + res = r.json() + log.debug(f"res: {res}") + + images = [] + + for image in res["images"]: + image_filename = save_b64_image(image) + images.append({"url": f"/cache/image/generations/{image_filename}"}) + file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json") + + with open(file_body_path, "w") as f: + json.dump({**data, "info": res["info"]}, f) + + return images + except Exception as e: + error = e + if r != None: + data = r.json() + if "error" in data: + error = data["error"]["message"] + raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(error)) diff --git a/backend/open_webui/apps/images/utils/comfyui.py b/backend/open_webui/apps/images/utils/comfyui.py new file mode 100644 index 0000000000000000000000000000000000000000..4c421d7c5290ba7564acc69303241dcdb67dae18 --- /dev/null +++ b/backend/open_webui/apps/images/utils/comfyui.py @@ -0,0 +1,186 @@ +import asyncio +import json +import logging +import random +import urllib.parse +import urllib.request +from typing import Optional + +import websocket # NOTE: websocket-client (https://github.com/websocket-client/websocket-client) +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["COMFYUI"]) + +default_headers = {"User-Agent": "Mozilla/5.0"} + + +def queue_prompt(prompt, client_id, base_url): + log.info("queue_prompt") + p = {"prompt": prompt, "client_id": client_id} + data = json.dumps(p).encode("utf-8") + log.debug(f"queue_prompt data: {data}") + try: + req = urllib.request.Request( + f"{base_url}/prompt", data=data, headers=default_headers + ) + response = urllib.request.urlopen(req).read() + return json.loads(response) + except Exception as e: + log.exception(f"Error while queuing prompt: {e}") + raise e + + +def get_image(filename, subfolder, folder_type, base_url): + log.info("get_image") + data = {"filename": filename, "subfolder": subfolder, "type": folder_type} + url_values = urllib.parse.urlencode(data) + req = urllib.request.Request( + f"{base_url}/view?{url_values}", headers=default_headers + ) + with urllib.request.urlopen(req) as response: + return response.read() + + +def get_image_url(filename, subfolder, folder_type, base_url): + log.info("get_image") + data = {"filename": filename, "subfolder": subfolder, "type": folder_type} + url_values = urllib.parse.urlencode(data) + return f"{base_url}/view?{url_values}" + + +def get_history(prompt_id, base_url): + log.info("get_history") + + req = urllib.request.Request( + f"{base_url}/history/{prompt_id}", headers=default_headers + ) + with urllib.request.urlopen(req) as response: + return json.loads(response.read()) + + +def get_images(ws, prompt, client_id, base_url): + prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"] + output_images = [] + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["node"] is None and data["prompt_id"] == prompt_id: + break # Execution is done + else: + continue # previews are binary data + + history = get_history(prompt_id, base_url)[prompt_id] + for o in history["outputs"]: + for node_id in history["outputs"]: + node_output = history["outputs"][node_id] + if "images" in node_output: + for image in node_output["images"]: + url = get_image_url( + image["filename"], image["subfolder"], image["type"], base_url + ) + output_images.append({"url": url}) + return {"data": output_images} + + +class ComfyUINodeInput(BaseModel): + type: Optional[str] = None + node_ids: list[str] = [] + key: Optional[str] = "text" + value: Optional[str] = None + + +class ComfyUIWorkflow(BaseModel): + workflow: str + nodes: list[ComfyUINodeInput] + + +class ComfyUIGenerateImageForm(BaseModel): + workflow: ComfyUIWorkflow + + prompt: str + negative_prompt: Optional[str] = None + width: int + height: int + n: int = 1 + + steps: Optional[int] = None + seed: Optional[int] = None + + +async def comfyui_generate_image( + model: str, payload: ComfyUIGenerateImageForm, client_id, base_url +): + ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://") + workflow = json.loads(payload.workflow.workflow) + + for node in payload.workflow.nodes: + if node.type: + if node.type == "model": + for node_id in node.node_ids: + workflow[node_id]["inputs"][node.key] = model + elif node.type == "prompt": + for node_id in node.node_ids: + workflow[node_id]["inputs"][ + node.key if node.key else "text" + ] = payload.prompt + elif node.type == "negative_prompt": + for node_id in node.node_ids: + workflow[node_id]["inputs"][ + node.key if node.key else "text" + ] = payload.negative_prompt + elif node.type == "width": + for node_id in node.node_ids: + workflow[node_id]["inputs"][ + node.key if node.key else "width" + ] = payload.width + elif node.type == "height": + for node_id in node.node_ids: + workflow[node_id]["inputs"][ + node.key if node.key else "height" + ] = payload.height + elif node.type == "n": + for node_id in node.node_ids: + workflow[node_id]["inputs"][ + node.key if node.key else "batch_size" + ] = payload.n + elif node.type == "steps": + for node_id in node.node_ids: + workflow[node_id]["inputs"][ + node.key if node.key else "steps" + ] = payload.steps + elif node.type == "seed": + seed = ( + payload.seed + if payload.seed + else random.randint(0, 18446744073709551614) + ) + for node_id in node.node_ids: + workflow[node_id]["inputs"][node.key] = seed + else: + for node_id in node.node_ids: + workflow[node_id]["inputs"][node.key] = node.value + + try: + ws = websocket.WebSocket() + ws.connect(f"{ws_url}/ws?clientId={client_id}") + log.info("WebSocket connection established.") + except Exception as e: + log.exception(f"Failed to connect to WebSocket server: {e}") + return None + + try: + log.info("Sending workflow to WebSocket server.") + log.info(f"Workflow: {workflow}") + images = await asyncio.to_thread(get_images, ws, workflow, client_id, base_url) + except Exception as e: + log.exception(f"Error while receiving images: {e}") + images = None + + ws.close() + + return images diff --git a/backend/open_webui/apps/ollama/main.py b/backend/open_webui/apps/ollama/main.py new file mode 100644 index 0000000000000000000000000000000000000000..8976d55b4081dc673a08e6cdfef746ec3d160890 --- /dev/null +++ b/backend/open_webui/apps/ollama/main.py @@ -0,0 +1,1123 @@ +import asyncio +import json +import logging +import os +import random +import re +import time +from typing import Optional, Union +from urllib.parse import urlparse + +import aiohttp +import requests +from open_webui.apps.webui.models.models import Models +from open_webui.config import ( + CORS_ALLOW_ORIGIN, + ENABLE_MODEL_FILTER, + ENABLE_OLLAMA_API, + MODEL_FILTER_LIST, + OLLAMA_BASE_URLS, + UPLOAD_DIR, + AppConfig, +) +from open_webui.env import AIOHTTP_CLIENT_TIMEOUT + + +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import ENV, SRC_LOG_LEVELS +from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import StreamingResponse +from pydantic import BaseModel, ConfigDict +from starlette.background import BackgroundTask + + +from open_webui.utils.misc import ( + calculate_sha256, +) +from open_webui.utils.payload import ( + apply_model_params_to_body_ollama, + apply_model_params_to_body_openai, + apply_model_system_prompt_to_body, +) +from open_webui.utils.utils import get_admin_user, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["OLLAMA"]) + + +app = FastAPI(docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None) + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.state.config = AppConfig() + +app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER +app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST + +app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API +app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS +app.state.MODELS = {} + + +# TODO: Implement a more intelligent load balancing mechanism for distributing requests among multiple backend instances. +# Current implementation uses a simple round-robin approach (random.choice). Consider incorporating algorithms like weighted round-robin, +# least connections, or least response time for better resource utilization and performance optimization. + + +@app.middleware("http") +async def check_url(request: Request, call_next): + if len(app.state.MODELS) == 0: + await get_all_models() + else: + pass + + response = await call_next(request) + return response + + +@app.head("/") +@app.get("/") +async def get_status(): + return {"status": True} + + +@app.get("/config") +async def get_config(user=Depends(get_admin_user)): + return {"ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API} + + +class OllamaConfigForm(BaseModel): + enable_ollama_api: Optional[bool] = None + + +@app.post("/config/update") +async def update_config(form_data: OllamaConfigForm, user=Depends(get_admin_user)): + app.state.config.ENABLE_OLLAMA_API = form_data.enable_ollama_api + return {"ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API} + + +@app.get("/urls") +async def get_ollama_api_urls(user=Depends(get_admin_user)): + return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS} + + +class UrlUpdateForm(BaseModel): + urls: list[str] + + +@app.post("/urls/update") +async def update_ollama_api_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)): + app.state.config.OLLAMA_BASE_URLS = form_data.urls + + log.info(f"app.state.config.OLLAMA_BASE_URLS: {app.state.config.OLLAMA_BASE_URLS}") + return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS} + + +async def fetch_url(url): + timeout = aiohttp.ClientTimeout(total=3) + try: + async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session: + async with session.get(url) as response: + return await response.json() + except Exception as e: + # Handle connection error here + log.error(f"Connection error: {e}") + return None + + +async def cleanup_response( + response: Optional[aiohttp.ClientResponse], + session: Optional[aiohttp.ClientSession], +): + if response: + response.close() + if session: + await session.close() + + +async def post_streaming_url( + url: str, payload: Union[str, bytes], stream: bool = True, content_type=None +): + r = None + try: + session = aiohttp.ClientSession( + trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT) + ) + r = await session.post( + url, + data=payload, + headers={"Content-Type": "application/json"}, + ) + r.raise_for_status() + + if stream: + headers = dict(r.headers) + if content_type: + headers["Content-Type"] = content_type + return StreamingResponse( + r.content, + status_code=r.status, + headers=headers, + background=BackgroundTask( + cleanup_response, response=r, session=session + ), + ) + else: + res = await r.json() + await cleanup_response(r, session) + return res + + except Exception as e: + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = await r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status if r else 500, + detail=error_detail, + ) + + +def merge_models_lists(model_lists): + merged_models = {} + + for idx, model_list in enumerate(model_lists): + if model_list is not None: + for model in model_list: + digest = model["digest"] + if digest not in merged_models: + model["urls"] = [idx] + merged_models[digest] = model + else: + merged_models[digest]["urls"].append(idx) + + return list(merged_models.values()) + + +async def get_all_models(): + log.info("get_all_models()") + + if app.state.config.ENABLE_OLLAMA_API: + tasks = [ + fetch_url(f"{url}/api/tags") for url in app.state.config.OLLAMA_BASE_URLS + ] + responses = await asyncio.gather(*tasks) + + models = { + "models": merge_models_lists( + map( + lambda response: response["models"] if response else None, responses + ) + ) + } + + else: + models = {"models": []} + + app.state.MODELS = {model["model"]: model for model in models["models"]} + + return models + + +@app.get("/api/tags") +@app.get("/api/tags/{url_idx}") +async def get_ollama_tags( + url_idx: Optional[int] = None, user=Depends(get_verified_user) +): + if url_idx is None: + models = await get_all_models() + + if app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user": + models["models"] = list( + filter( + lambda model: model["name"] + in app.state.config.MODEL_FILTER_LIST, + models["models"], + ) + ) + return models + return models + else: + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + + r = None + try: + r = requests.request(method="GET", url=f"{url}/api/tags") + r.raise_for_status() + + return r.json() + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +@app.get("/api/version") +@app.get("/api/version/{url_idx}") +async def get_ollama_versions(url_idx: Optional[int] = None): + if app.state.config.ENABLE_OLLAMA_API: + if url_idx is None: + # returns lowest version + tasks = [ + fetch_url(f"{url}/api/version") + for url in app.state.config.OLLAMA_BASE_URLS + ] + responses = await asyncio.gather(*tasks) + responses = list(filter(lambda x: x is not None, responses)) + + if len(responses) > 0: + lowest_version = min( + responses, + key=lambda x: tuple( + map(int, re.sub(r"^v|-.*", "", x["version"]).split(".")) + ), + ) + + return {"version": lowest_version["version"]} + else: + raise HTTPException( + status_code=500, + detail=ERROR_MESSAGES.OLLAMA_NOT_FOUND, + ) + else: + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + + r = None + try: + r = requests.request(method="GET", url=f"{url}/api/version") + r.raise_for_status() + + return r.json() + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + else: + return {"version": False} + + +class ModelNameForm(BaseModel): + name: str + + +@app.post("/api/pull") +@app.post("/api/pull/{url_idx}") +async def pull_model( + form_data: ModelNameForm, url_idx: int = 0, user=Depends(get_admin_user) +): + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + # Admin should be able to pull models from any source + payload = {**form_data.model_dump(exclude_none=True), "insecure": True} + + return await post_streaming_url(f"{url}/api/pull", json.dumps(payload)) + + +class PushModelForm(BaseModel): + name: str + insecure: Optional[bool] = None + stream: Optional[bool] = None + + +@app.delete("/api/push") +@app.delete("/api/push/{url_idx}") +async def push_model( + form_data: PushModelForm, + url_idx: Optional[int] = None, + user=Depends(get_admin_user), +): + if url_idx is None: + if form_data.name in app.state.MODELS: + url_idx = app.state.MODELS[form_data.name]["urls"][0] + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name), + ) + + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.debug(f"url: {url}") + + return await post_streaming_url( + f"{url}/api/push", form_data.model_dump_json(exclude_none=True).encode() + ) + + +class CreateModelForm(BaseModel): + name: str + modelfile: Optional[str] = None + stream: Optional[bool] = None + path: Optional[str] = None + + +@app.post("/api/create") +@app.post("/api/create/{url_idx}") +async def create_model( + form_data: CreateModelForm, url_idx: int = 0, user=Depends(get_admin_user) +): + log.debug(f"form_data: {form_data}") + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + return await post_streaming_url( + f"{url}/api/create", form_data.model_dump_json(exclude_none=True).encode() + ) + + +class CopyModelForm(BaseModel): + source: str + destination: str + + +@app.post("/api/copy") +@app.post("/api/copy/{url_idx}") +async def copy_model( + form_data: CopyModelForm, + url_idx: Optional[int] = None, + user=Depends(get_admin_user), +): + if url_idx is None: + if form_data.source in app.state.MODELS: + url_idx = app.state.MODELS[form_data.source]["urls"][0] + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.source), + ) + + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + r = requests.request( + method="POST", + url=f"{url}/api/copy", + headers={"Content-Type": "application/json"}, + data=form_data.model_dump_json(exclude_none=True).encode(), + ) + + try: + r.raise_for_status() + + log.debug(f"r.text: {r.text}") + + return True + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +@app.delete("/api/delete") +@app.delete("/api/delete/{url_idx}") +async def delete_model( + form_data: ModelNameForm, + url_idx: Optional[int] = None, + user=Depends(get_admin_user), +): + if url_idx is None: + if form_data.name in app.state.MODELS: + url_idx = app.state.MODELS[form_data.name]["urls"][0] + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name), + ) + + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + r = requests.request( + method="DELETE", + url=f"{url}/api/delete", + headers={"Content-Type": "application/json"}, + data=form_data.model_dump_json(exclude_none=True).encode(), + ) + try: + r.raise_for_status() + + log.debug(f"r.text: {r.text}") + + return True + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +@app.post("/api/show") +async def show_model_info(form_data: ModelNameForm, user=Depends(get_verified_user)): + if form_data.name not in app.state.MODELS: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name), + ) + + url_idx = random.choice(app.state.MODELS[form_data.name]["urls"]) + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + r = requests.request( + method="POST", + url=f"{url}/api/show", + headers={"Content-Type": "application/json"}, + data=form_data.model_dump_json(exclude_none=True).encode(), + ) + try: + r.raise_for_status() + + return r.json() + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +class GenerateEmbeddingsForm(BaseModel): + model: str + prompt: str + options: Optional[dict] = None + keep_alive: Optional[Union[int, str]] = None + + +class GenerateEmbedForm(BaseModel): + model: str + input: list[str] | str + truncate: Optional[bool] = None + options: Optional[dict] = None + keep_alive: Optional[Union[int, str]] = None + + +@app.post("/api/embed") +@app.post("/api/embed/{url_idx}") +async def generate_embeddings( + form_data: GenerateEmbedForm, + url_idx: Optional[int] = None, + user=Depends(get_verified_user), +): + return generate_ollama_batch_embeddings(form_data, url_idx) + + +@app.post("/api/embeddings") +@app.post("/api/embeddings/{url_idx}") +async def generate_embeddings( + form_data: GenerateEmbeddingsForm, + url_idx: Optional[int] = None, + user=Depends(get_verified_user), +): + return generate_ollama_embeddings(form_data=form_data, url_idx=url_idx) + + +def generate_ollama_embeddings( + form_data: GenerateEmbeddingsForm, + url_idx: Optional[int] = None, +): + log.info(f"generate_ollama_embeddings {form_data}") + + if url_idx is None: + model = form_data.model + + if ":" not in model: + model = f"{model}:latest" + + if model in app.state.MODELS: + url_idx = random.choice(app.state.MODELS[model]["urls"]) + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model), + ) + + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + r = requests.request( + method="POST", + url=f"{url}/api/embeddings", + headers={"Content-Type": "application/json"}, + data=form_data.model_dump_json(exclude_none=True).encode(), + ) + try: + r.raise_for_status() + + data = r.json() + + log.info(f"generate_ollama_embeddings {data}") + + if "embedding" in data: + return data + else: + raise Exception("Something went wrong :/") + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +def generate_ollama_batch_embeddings( + form_data: GenerateEmbedForm, + url_idx: Optional[int] = None, +): + log.info(f"generate_ollama_batch_embeddings {form_data}") + + if url_idx is None: + model = form_data.model + + if ":" not in model: + model = f"{model}:latest" + + if model in app.state.MODELS: + url_idx = random.choice(app.state.MODELS[model]["urls"]) + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model), + ) + + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + r = requests.request( + method="POST", + url=f"{url}/api/embed", + headers={"Content-Type": "application/json"}, + data=form_data.model_dump_json(exclude_none=True).encode(), + ) + try: + r.raise_for_status() + + data = r.json() + + log.info(f"generate_ollama_batch_embeddings {data}") + + if "embeddings" in data: + return data + else: + raise Exception("Something went wrong :/") + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise Exception(error_detail) + + +class GenerateCompletionForm(BaseModel): + model: str + prompt: str + images: Optional[list[str]] = None + format: Optional[str] = None + options: Optional[dict] = None + system: Optional[str] = None + template: Optional[str] = None + context: Optional[str] = None + stream: Optional[bool] = True + raw: Optional[bool] = None + keep_alive: Optional[Union[int, str]] = None + + +@app.post("/api/generate") +@app.post("/api/generate/{url_idx}") +async def generate_completion( + form_data: GenerateCompletionForm, + url_idx: Optional[int] = None, + user=Depends(get_verified_user), +): + if url_idx is None: + model = form_data.model + + if ":" not in model: + model = f"{model}:latest" + + if model in app.state.MODELS: + url_idx = random.choice(app.state.MODELS[model]["urls"]) + else: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model), + ) + + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + log.info(f"url: {url}") + + return await post_streaming_url( + f"{url}/api/generate", form_data.model_dump_json(exclude_none=True).encode() + ) + + +class ChatMessage(BaseModel): + role: str + content: str + images: Optional[list[str]] = None + + +class GenerateChatCompletionForm(BaseModel): + model: str + messages: list[ChatMessage] + format: Optional[str] = None + options: Optional[dict] = None + template: Optional[str] = None + stream: Optional[bool] = True + keep_alive: Optional[Union[int, str]] = None + + +def get_ollama_url(url_idx: Optional[int], model: str): + if url_idx is None: + if model not in app.state.MODELS: + raise HTTPException( + status_code=400, + detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model), + ) + url_idx = random.choice(app.state.MODELS[model]["urls"]) + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + return url + + +@app.post("/api/chat") +@app.post("/api/chat/{url_idx}") +async def generate_chat_completion( + form_data: GenerateChatCompletionForm, + url_idx: Optional[int] = None, + user=Depends(get_verified_user), + bypass_filter: Optional[bool] = False, +): + payload = {**form_data.model_dump(exclude_none=True)} + log.debug(f"generate_chat_completion() - 1.payload = {payload}") + if "metadata" in payload: + del payload["metadata"] + + model_id = form_data.model + + if not bypass_filter and app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST: + raise HTTPException( + status_code=403, + detail="Model not found", + ) + + model_info = Models.get_model_by_id(model_id) + + if model_info: + if model_info.base_model_id: + payload["model"] = model_info.base_model_id + + params = model_info.params.model_dump() + + if params: + if payload.get("options") is None: + payload["options"] = {} + + payload["options"] = apply_model_params_to_body_ollama( + params, payload["options"] + ) + payload = apply_model_system_prompt_to_body(params, payload, user) + + if ":" not in payload["model"]: + payload["model"] = f"{payload['model']}:latest" + + url = get_ollama_url(url_idx, payload["model"]) + log.info(f"url: {url}") + log.debug(f"generate_chat_completion() - 2.payload = {payload}") + + return await post_streaming_url( + f"{url}/api/chat", + json.dumps(payload), + stream=form_data.stream, + content_type="application/x-ndjson", + ) + + +# TODO: we should update this part once Ollama supports other types +class OpenAIChatMessageContent(BaseModel): + type: str + model_config = ConfigDict(extra="allow") + + +class OpenAIChatMessage(BaseModel): + role: str + content: Union[str, OpenAIChatMessageContent] + + model_config = ConfigDict(extra="allow") + + +class OpenAIChatCompletionForm(BaseModel): + model: str + messages: list[OpenAIChatMessage] + + model_config = ConfigDict(extra="allow") + + +@app.post("/v1/chat/completions") +@app.post("/v1/chat/completions/{url_idx}") +async def generate_openai_chat_completion( + form_data: dict, + url_idx: Optional[int] = None, + user=Depends(get_verified_user), +): + completion_form = OpenAIChatCompletionForm(**form_data) + payload = {**completion_form.model_dump(exclude_none=True, exclude=["metadata"])} + if "metadata" in payload: + del payload["metadata"] + + model_id = completion_form.model + + if app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST: + raise HTTPException( + status_code=403, + detail="Model not found", + ) + + model_info = Models.get_model_by_id(model_id) + + if model_info: + if model_info.base_model_id: + payload["model"] = model_info.base_model_id + + params = model_info.params.model_dump() + + if params: + payload = apply_model_params_to_body_openai(params, payload) + payload = apply_model_system_prompt_to_body(params, payload, user) + + if ":" not in payload["model"]: + payload["model"] = f"{payload['model']}:latest" + + url = get_ollama_url(url_idx, payload["model"]) + log.info(f"url: {url}") + + return await post_streaming_url( + f"{url}/v1/chat/completions", + json.dumps(payload), + stream=payload.get("stream", False), + ) + + +@app.get("/v1/models") +@app.get("/v1/models/{url_idx}") +async def get_openai_models( + url_idx: Optional[int] = None, + user=Depends(get_verified_user), +): + if url_idx is None: + models = await get_all_models() + + if app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user": + models["models"] = list( + filter( + lambda model: model["name"] + in app.state.config.MODEL_FILTER_LIST, + models["models"], + ) + ) + + return { + "data": [ + { + "id": model["model"], + "object": "model", + "created": int(time.time()), + "owned_by": "openai", + } + for model in models["models"] + ], + "object": "list", + } + + else: + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + try: + r = requests.request(method="GET", url=f"{url}/api/tags") + r.raise_for_status() + + models = r.json() + + return { + "data": [ + { + "id": model["model"], + "object": "model", + "created": int(time.time()), + "owned_by": "openai", + } + for model in models["models"] + ], + "object": "list", + } + + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"Ollama: {res['error']}" + except Exception: + error_detail = f"Ollama: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +class UrlForm(BaseModel): + url: str + + +class UploadBlobForm(BaseModel): + filename: str + + +def parse_huggingface_url(hf_url): + try: + # Parse the URL + parsed_url = urlparse(hf_url) + + # Get the path and split it into components + path_components = parsed_url.path.split("/") + + # Extract the desired output + model_file = path_components[-1] + + return model_file + except ValueError: + return None + + +async def download_file_stream( + ollama_url, file_url, file_path, file_name, chunk_size=1024 * 1024 +): + done = False + + if os.path.exists(file_path): + current_size = os.path.getsize(file_path) + else: + current_size = 0 + + headers = {"Range": f"bytes={current_size}-"} if current_size > 0 else {} + + timeout = aiohttp.ClientTimeout(total=600) # Set the timeout + + async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session: + async with session.get(file_url, headers=headers) as response: + total_size = int(response.headers.get("content-length", 0)) + current_size + + with open(file_path, "ab+") as file: + async for data in response.content.iter_chunked(chunk_size): + current_size += len(data) + file.write(data) + + done = current_size == total_size + progress = round((current_size / total_size) * 100, 2) + + yield f'data: {{"progress": {progress}, "completed": {current_size}, "total": {total_size}}}\n\n' + + if done: + file.seek(0) + hashed = calculate_sha256(file) + file.seek(0) + + url = f"{ollama_url}/api/blobs/sha256:{hashed}" + response = requests.post(url, data=file) + + if response.ok: + res = { + "done": done, + "blob": f"sha256:{hashed}", + "name": file_name, + } + os.remove(file_path) + + yield f"data: {json.dumps(res)}\n\n" + else: + raise "Ollama: Could not create blob, Please try again." + + +# url = "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q2_K.gguf" +@app.post("/models/download") +@app.post("/models/download/{url_idx}") +async def download_model( + form_data: UrlForm, + url_idx: Optional[int] = None, + user=Depends(get_admin_user), +): + allowed_hosts = ["https://huggingface.co/", "https://github.com/"] + + if not any(form_data.url.startswith(host) for host in allowed_hosts): + raise HTTPException( + status_code=400, + detail="Invalid file_url. Only URLs from allowed hosts are permitted.", + ) + + if url_idx is None: + url_idx = 0 + url = app.state.config.OLLAMA_BASE_URLS[url_idx] + + file_name = parse_huggingface_url(form_data.url) + + if file_name: + file_path = f"{UPLOAD_DIR}/{file_name}" + + return StreamingResponse( + download_file_stream(url, form_data.url, file_path, file_name), + ) + else: + return None + + +@app.post("/models/upload") +@app.post("/models/upload/{url_idx}") +def upload_model( + file: UploadFile = File(...), + url_idx: Optional[int] = None, + user=Depends(get_admin_user), +): + if url_idx is None: + url_idx = 0 + ollama_url = app.state.config.OLLAMA_BASE_URLS[url_idx] + + file_path = f"{UPLOAD_DIR}/{file.filename}" + + # Save file in chunks + with open(file_path, "wb+") as f: + for chunk in file.file: + f.write(chunk) + + def file_process_stream(): + nonlocal ollama_url + total_size = os.path.getsize(file_path) + chunk_size = 1024 * 1024 + try: + with open(file_path, "rb") as f: + total = 0 + done = False + + while not done: + chunk = f.read(chunk_size) + if not chunk: + done = True + continue + + total += len(chunk) + progress = round((total / total_size) * 100, 2) + + res = { + "progress": progress, + "total": total_size, + "completed": total, + } + yield f"data: {json.dumps(res)}\n\n" + + if done: + f.seek(0) + hashed = calculate_sha256(f) + f.seek(0) + + url = f"{ollama_url}/api/blobs/sha256:{hashed}" + response = requests.post(url, data=f) + + if response.ok: + res = { + "done": done, + "blob": f"sha256:{hashed}", + "name": file.filename, + } + os.remove(file_path) + yield f"data: {json.dumps(res)}\n\n" + else: + raise Exception( + "Ollama: Could not create blob, Please try again." + ) + + except Exception as e: + res = {"error": str(e)} + yield f"data: {json.dumps(res)}\n\n" + + return StreamingResponse(file_process_stream(), media_type="text/event-stream") diff --git a/backend/open_webui/apps/openai/main.py b/backend/open_webui/apps/openai/main.py new file mode 100644 index 0000000000000000000000000000000000000000..f7e1c7bf8ec15dd062d1cc79728a523f4aa87e9b --- /dev/null +++ b/backend/open_webui/apps/openai/main.py @@ -0,0 +1,557 @@ +import asyncio +import hashlib +import json +import logging +from pathlib import Path +from typing import Literal, Optional, overload + +import aiohttp +import requests +from open_webui.apps.webui.models.models import Models +from open_webui.config import ( + CACHE_DIR, + CORS_ALLOW_ORIGIN, + ENABLE_MODEL_FILTER, + ENABLE_OPENAI_API, + MODEL_FILTER_LIST, + OPENAI_API_BASE_URLS, + OPENAI_API_KEYS, + AppConfig, +) +from open_webui.env import ( + AIOHTTP_CLIENT_TIMEOUT, + AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST, +) + +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import ENV, SRC_LOG_LEVELS +from fastapi import Depends, FastAPI, HTTPException, Request +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse, StreamingResponse +from pydantic import BaseModel +from starlette.background import BackgroundTask + +from open_webui.utils.payload import ( + apply_model_params_to_body_openai, + apply_model_system_prompt_to_body, +) + +from open_webui.utils.utils import get_admin_user, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["OPENAI"]) + + +app = FastAPI(docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None) + + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.state.config = AppConfig() + +app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER +app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST + +app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API +app.state.config.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS +app.state.config.OPENAI_API_KEYS = OPENAI_API_KEYS + +app.state.MODELS = {} + + +@app.middleware("http") +async def check_url(request: Request, call_next): + if len(app.state.MODELS) == 0: + await get_all_models() + + response = await call_next(request) + return response + + +@app.get("/config") +async def get_config(user=Depends(get_admin_user)): + return {"ENABLE_OPENAI_API": app.state.config.ENABLE_OPENAI_API} + + +class OpenAIConfigForm(BaseModel): + enable_openai_api: Optional[bool] = None + + +@app.post("/config/update") +async def update_config(form_data: OpenAIConfigForm, user=Depends(get_admin_user)): + app.state.config.ENABLE_OPENAI_API = form_data.enable_openai_api + return {"ENABLE_OPENAI_API": app.state.config.ENABLE_OPENAI_API} + + +class UrlsUpdateForm(BaseModel): + urls: list[str] + + +class KeysUpdateForm(BaseModel): + keys: list[str] + + +@app.get("/urls") +async def get_openai_urls(user=Depends(get_admin_user)): + return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS} + + +@app.post("/urls/update") +async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)): + await get_all_models() + app.state.config.OPENAI_API_BASE_URLS = form_data.urls + return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS} + + +@app.get("/keys") +async def get_openai_keys(user=Depends(get_admin_user)): + return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS} + + +@app.post("/keys/update") +async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)): + app.state.config.OPENAI_API_KEYS = form_data.keys + return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS} + + +@app.post("/audio/speech") +async def speech(request: Request, user=Depends(get_verified_user)): + idx = None + try: + idx = app.state.config.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1") + body = await request.body() + name = hashlib.sha256(body).hexdigest() + + SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/") + SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True) + file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3") + file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json") + + # Check if the file already exists in the cache + if file_path.is_file(): + return FileResponse(file_path) + + headers = {} + headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEYS[idx]}" + headers["Content-Type"] = "application/json" + if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]: + headers["HTTP-Referer"] = "https://openwebui.com/" + headers["X-Title"] = "Open WebUI" + r = None + try: + r = requests.post( + url=f"{app.state.config.OPENAI_API_BASE_URLS[idx]}/audio/speech", + data=body, + headers=headers, + stream=True, + ) + + r.raise_for_status() + + # Save the streaming content to a file + with open(file_path, "wb") as f: + for chunk in r.iter_content(chunk_size=8192): + f.write(chunk) + + with open(file_body_path, "w") as f: + json.dump(json.loads(body.decode("utf-8")), f) + + # Return the saved file + return FileResponse(file_path) + + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"External: {res['error']}" + except Exception: + error_detail = f"External: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, detail=error_detail + ) + + except ValueError: + raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND) + + +async def fetch_url(url, key): + timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST) + try: + headers = {"Authorization": f"Bearer {key}"} + async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session: + async with session.get(url, headers=headers) as response: + return await response.json() + except Exception as e: + # Handle connection error here + log.error(f"Connection error: {e}") + return None + + +async def cleanup_response( + response: Optional[aiohttp.ClientResponse], + session: Optional[aiohttp.ClientSession], +): + if response: + response.close() + if session: + await session.close() + + +def merge_models_lists(model_lists): + log.debug(f"merge_models_lists {model_lists}") + merged_list = [] + + for idx, models in enumerate(model_lists): + if models is not None and "error" not in models: + merged_list.extend( + [ + { + **model, + "name": model.get("name", model["id"]), + "owned_by": "openai", + "openai": model, + "urlIdx": idx, + } + for model in models + if "api.openai.com" + not in app.state.config.OPENAI_API_BASE_URLS[idx] + or not any( + name in model["id"] + for name in [ + "babbage", + "dall-e", + "davinci", + "embedding", + "tts", + "whisper", + ] + ) + ] + ) + + return merged_list + + +def is_openai_api_disabled(): + return not app.state.config.ENABLE_OPENAI_API + + +async def get_all_models_raw() -> list: + if is_openai_api_disabled(): + return [] + + # Check if API KEYS length is same than API URLS length + num_urls = len(app.state.config.OPENAI_API_BASE_URLS) + num_keys = len(app.state.config.OPENAI_API_KEYS) + + if num_keys != num_urls: + # if there are more keys than urls, remove the extra keys + if num_keys > num_urls: + new_keys = app.state.config.OPENAI_API_KEYS[:num_urls] + app.state.config.OPENAI_API_KEYS = new_keys + # if there are more urls than keys, add empty keys + else: + app.state.config.OPENAI_API_KEYS += [""] * (num_urls - num_keys) + + tasks = [ + fetch_url(f"{url}/models", app.state.config.OPENAI_API_KEYS[idx]) + for idx, url in enumerate(app.state.config.OPENAI_API_BASE_URLS) + ] + + responses = await asyncio.gather(*tasks) + log.debug(f"get_all_models:responses() {responses}") + + return responses + + +@overload +async def get_all_models(raw: Literal[True]) -> list: ... + + +@overload +async def get_all_models(raw: Literal[False] = False) -> dict[str, list]: ... + + +async def get_all_models(raw=False) -> dict[str, list] | list: + log.info("get_all_models()") + if is_openai_api_disabled(): + return [] if raw else {"data": []} + + responses = await get_all_models_raw() + if raw: + return responses + + def extract_data(response): + if response and "data" in response: + return response["data"] + if isinstance(response, list): + return response + return None + + models = {"data": merge_models_lists(map(extract_data, responses))} + + log.debug(f"models: {models}") + app.state.MODELS = {model["id"]: model for model in models["data"]} + + return models + + +@app.get("/models") +@app.get("/models/{url_idx}") +async def get_models(url_idx: Optional[int] = None, user=Depends(get_verified_user)): + if url_idx is None: + models = await get_all_models() + if app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user": + models["data"] = list( + filter( + lambda model: model["id"] in app.state.config.MODEL_FILTER_LIST, + models["data"], + ) + ) + return models + return models + else: + url = app.state.config.OPENAI_API_BASE_URLS[url_idx] + key = app.state.config.OPENAI_API_KEYS[url_idx] + + headers = {} + headers["Authorization"] = f"Bearer {key}" + headers["Content-Type"] = "application/json" + + r = None + + try: + r = requests.request(method="GET", url=f"{url}/models", headers=headers) + r.raise_for_status() + + response_data = r.json() + + if "api.openai.com" in url: + # Filter the response data + response_data["data"] = [ + model + for model in response_data["data"] + if not any( + name in model["id"] + for name in [ + "babbage", + "dall-e", + "davinci", + "embedding", + "tts", + "whisper", + ] + ) + ] + + return response_data + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = r.json() + if "error" in res: + error_detail = f"External: {res['error']}" + except Exception: + error_detail = f"External: {e}" + + raise HTTPException( + status_code=r.status_code if r else 500, + detail=error_detail, + ) + + +@app.post("/chat/completions") +@app.post("/chat/completions/{url_idx}") +async def generate_chat_completion( + form_data: dict, + url_idx: Optional[int] = None, + user=Depends(get_verified_user), +): + idx = 0 + payload = {**form_data} + + if "metadata" in payload: + del payload["metadata"] + + model_id = form_data.get("model") + model_info = Models.get_model_by_id(model_id) + + if model_info: + if model_info.base_model_id: + payload["model"] = model_info.base_model_id + + params = model_info.params.model_dump() + payload = apply_model_params_to_body_openai(params, payload) + payload = apply_model_system_prompt_to_body(params, payload, user) + + model = app.state.MODELS[payload.get("model")] + idx = model["urlIdx"] + + if "pipeline" in model and model.get("pipeline"): + payload["user"] = { + "name": user.name, + "id": user.id, + "email": user.email, + "role": user.role, + } + + url = app.state.config.OPENAI_API_BASE_URLS[idx] + key = app.state.config.OPENAI_API_KEYS[idx] + is_o1 = payload["model"].lower().startswith("o1-") + + # Change max_completion_tokens to max_tokens (Backward compatible) + if "api.openai.com" not in url and not is_o1: + if "max_completion_tokens" in payload: + # Remove "max_completion_tokens" from the payload + payload["max_tokens"] = payload["max_completion_tokens"] + del payload["max_completion_tokens"] + else: + if is_o1 and "max_tokens" in payload: + payload["max_completion_tokens"] = payload["max_tokens"] + del payload["max_tokens"] + if "max_tokens" in payload and "max_completion_tokens" in payload: + del payload["max_tokens"] + + # Fix: O1 does not support the "system" parameter, Modify "system" to "user" + if is_o1 and payload["messages"][0]["role"] == "system": + payload["messages"][0]["role"] = "user" + + # Convert the modified body back to JSON + payload = json.dumps(payload) + + log.debug(payload) + + headers = {} + headers["Authorization"] = f"Bearer {key}" + headers["Content-Type"] = "application/json" + if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]: + headers["HTTP-Referer"] = "https://openwebui.com/" + headers["X-Title"] = "Open WebUI" + + r = None + session = None + streaming = False + response = None + + try: + session = aiohttp.ClientSession( + trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT) + ) + r = await session.request( + method="POST", + url=f"{url}/chat/completions", + data=payload, + headers=headers, + ) + + # Check if response is SSE + if "text/event-stream" in r.headers.get("Content-Type", ""): + streaming = True + return StreamingResponse( + r.content, + status_code=r.status, + headers=dict(r.headers), + background=BackgroundTask( + cleanup_response, response=r, session=session + ), + ) + else: + try: + response = await r.json() + except Exception as e: + log.error(e) + response = await r.text() + + r.raise_for_status() + return response + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if isinstance(response, dict): + if "error" in response: + error_detail = f"{response['error']['message'] if 'message' in response['error'] else response['error']}" + elif isinstance(response, str): + error_detail = response + + raise HTTPException(status_code=r.status if r else 500, detail=error_detail) + finally: + if not streaming and session: + if r: + r.close() + await session.close() + + +@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"]) +async def proxy(path: str, request: Request, user=Depends(get_verified_user)): + idx = 0 + + body = await request.body() + + url = app.state.config.OPENAI_API_BASE_URLS[idx] + key = app.state.config.OPENAI_API_KEYS[idx] + + target_url = f"{url}/{path}" + + headers = {} + headers["Authorization"] = f"Bearer {key}" + headers["Content-Type"] = "application/json" + + r = None + session = None + streaming = False + + try: + session = aiohttp.ClientSession(trust_env=True) + r = await session.request( + method=request.method, + url=target_url, + data=body, + headers=headers, + ) + + r.raise_for_status() + + # Check if response is SSE + if "text/event-stream" in r.headers.get("Content-Type", ""): + streaming = True + return StreamingResponse( + r.content, + status_code=r.status, + headers=dict(r.headers), + background=BackgroundTask( + cleanup_response, response=r, session=session + ), + ) + else: + response_data = await r.json() + return response_data + except Exception as e: + log.exception(e) + error_detail = "Open WebUI: Server Connection Error" + if r is not None: + try: + res = await r.json() + print(res) + if "error" in res: + error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}" + except Exception: + error_detail = f"External: {e}" + raise HTTPException(status_code=r.status if r else 500, detail=error_detail) + finally: + if not streaming and session: + if r: + r.close() + await session.close() diff --git a/backend/open_webui/apps/retrieval/loaders/main.py b/backend/open_webui/apps/retrieval/loaders/main.py new file mode 100644 index 0000000000000000000000000000000000000000..f0e8f804eec23e88349a5c4ffe028a41d7002578 --- /dev/null +++ b/backend/open_webui/apps/retrieval/loaders/main.py @@ -0,0 +1,190 @@ +import requests +import logging +import ftfy + +from langchain_community.document_loaders import ( + BSHTMLLoader, + CSVLoader, + Docx2txtLoader, + OutlookMessageLoader, + PyPDFLoader, + TextLoader, + UnstructuredEPubLoader, + UnstructuredExcelLoader, + UnstructuredMarkdownLoader, + UnstructuredPowerPointLoader, + UnstructuredRSTLoader, + UnstructuredXMLLoader, + YoutubeLoader, +) +from langchain_core.documents import Document +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + +known_source_ext = [ + "go", + "py", + "java", + "sh", + "bat", + "ps1", + "cmd", + "js", + "ts", + "css", + "cpp", + "hpp", + "h", + "c", + "cs", + "sql", + "log", + "ini", + "pl", + "pm", + "r", + "dart", + "dockerfile", + "env", + "php", + "hs", + "hsc", + "lua", + "nginxconf", + "conf", + "m", + "mm", + "plsql", + "perl", + "rb", + "rs", + "db2", + "scala", + "bash", + "swift", + "vue", + "svelte", + "msg", + "ex", + "exs", + "erl", + "tsx", + "jsx", + "hs", + "lhs", +] + + +class TikaLoader: + def __init__(self, url, file_path, mime_type=None): + self.url = url + self.file_path = file_path + self.mime_type = mime_type + + def load(self) -> list[Document]: + with open(self.file_path, "rb") as f: + data = f.read() + + if self.mime_type is not None: + headers = {"Content-Type": self.mime_type} + else: + headers = {} + + endpoint = self.url + if not endpoint.endswith("/"): + endpoint += "/" + endpoint += "tika/text" + + r = requests.put(endpoint, data=data, headers=headers) + + if r.ok: + raw_metadata = r.json() + text = raw_metadata.get("X-TIKA:content", "") + + if "Content-Type" in raw_metadata: + headers["Content-Type"] = raw_metadata["Content-Type"] + + log.info("Tika extracted text: %s", text) + + return [Document(page_content=text, metadata=headers)] + else: + raise Exception(f"Error calling Tika: {r.reason}") + + +class Loader: + def __init__(self, engine: str = "", **kwargs): + self.engine = engine + self.kwargs = kwargs + + def load( + self, filename: str, file_content_type: str, file_path: str + ) -> list[Document]: + loader = self._get_loader(filename, file_content_type, file_path) + docs = loader.load() + + return [ + Document( + page_content=ftfy.fix_text(doc.page_content), metadata=doc.metadata + ) + for doc in docs + ] + + def _get_loader(self, filename: str, file_content_type: str, file_path: str): + file_ext = filename.split(".")[-1].lower() + + if self.engine == "tika" and self.kwargs.get("TIKA_SERVER_URL"): + if file_ext in known_source_ext or ( + file_content_type and file_content_type.find("text/") >= 0 + ): + loader = TextLoader(file_path, autodetect_encoding=True) + else: + loader = TikaLoader( + url=self.kwargs.get("TIKA_SERVER_URL"), + file_path=file_path, + mime_type=file_content_type, + ) + else: + if file_ext == "pdf": + loader = PyPDFLoader( + file_path, extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES") + ) + elif file_ext == "csv": + loader = CSVLoader(file_path) + elif file_ext == "rst": + loader = UnstructuredRSTLoader(file_path, mode="elements") + elif file_ext == "xml": + loader = UnstructuredXMLLoader(file_path) + elif file_ext in ["htm", "html"]: + loader = BSHTMLLoader(file_path, open_encoding="unicode_escape") + elif file_ext == "md": + loader = UnstructuredMarkdownLoader(file_path) + elif file_content_type == "application/epub+zip": + loader = UnstructuredEPubLoader(file_path) + elif ( + file_content_type + == "application/vnd.openxmlformats-officedocument.wordprocessingml.document" + or file_ext == "docx" + ): + loader = Docx2txtLoader(file_path) + elif file_content_type in [ + "application/vnd.ms-excel", + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + ] or file_ext in ["xls", "xlsx"]: + loader = UnstructuredExcelLoader(file_path) + elif file_content_type in [ + "application/vnd.ms-powerpoint", + "application/vnd.openxmlformats-officedocument.presentationml.presentation", + ] or file_ext in ["ppt", "pptx"]: + loader = UnstructuredPowerPointLoader(file_path) + elif file_ext == "msg": + loader = OutlookMessageLoader(file_path) + elif file_ext in known_source_ext or ( + file_content_type and file_content_type.find("text/") >= 0 + ): + loader = TextLoader(file_path, autodetect_encoding=True) + else: + loader = TextLoader(file_path, autodetect_encoding=True) + + return loader diff --git a/backend/open_webui/apps/retrieval/main.py b/backend/open_webui/apps/retrieval/main.py new file mode 100644 index 0000000000000000000000000000000000000000..85472485d4fdc1d72eec3e37cec348d651b0c21b --- /dev/null +++ b/backend/open_webui/apps/retrieval/main.py @@ -0,0 +1,1332 @@ +# TODO: Merge this with the webui_app and make it a single app + +import json +import logging +import mimetypes +import os +import shutil + +import uuid +from datetime import datetime +from pathlib import Path +from typing import Iterator, Optional, Sequence, Union + +from fastapi import Depends, FastAPI, File, Form, HTTPException, UploadFile, status +from fastapi.middleware.cors import CORSMiddleware +from pydantic import BaseModel +import tiktoken + + +from open_webui.storage.provider import Storage +from open_webui.apps.webui.models.knowledge import Knowledges +from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT + +# Document loaders +from open_webui.apps.retrieval.loaders.main import Loader + +# Web search engines +from open_webui.apps.retrieval.web.main import SearchResult +from open_webui.apps.retrieval.web.utils import get_web_loader +from open_webui.apps.retrieval.web.brave import search_brave +from open_webui.apps.retrieval.web.duckduckgo import search_duckduckgo +from open_webui.apps.retrieval.web.google_pse import search_google_pse +from open_webui.apps.retrieval.web.jina_search import search_jina +from open_webui.apps.retrieval.web.searchapi import search_searchapi +from open_webui.apps.retrieval.web.searxng import search_searxng +from open_webui.apps.retrieval.web.serper import search_serper +from open_webui.apps.retrieval.web.serply import search_serply +from open_webui.apps.retrieval.web.serpstack import search_serpstack +from open_webui.apps.retrieval.web.tavily import search_tavily + + +from open_webui.apps.retrieval.utils import ( + get_embedding_function, + get_model_path, + query_collection, + query_collection_with_hybrid_search, + query_doc, + query_doc_with_hybrid_search, +) + +from open_webui.apps.webui.models.files import Files +from open_webui.config import ( + BRAVE_SEARCH_API_KEY, + TIKTOKEN_ENCODING_NAME, + RAG_TEXT_SPLITTER, + CHUNK_OVERLAP, + CHUNK_SIZE, + CONTENT_EXTRACTION_ENGINE, + CORS_ALLOW_ORIGIN, + ENABLE_RAG_HYBRID_SEARCH, + ENABLE_RAG_LOCAL_WEB_FETCH, + ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION, + ENABLE_RAG_WEB_SEARCH, + ENV, + GOOGLE_PSE_API_KEY, + GOOGLE_PSE_ENGINE_ID, + PDF_EXTRACT_IMAGES, + RAG_EMBEDDING_ENGINE, + RAG_EMBEDDING_MODEL, + RAG_EMBEDDING_MODEL_AUTO_UPDATE, + RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE, + RAG_EMBEDDING_BATCH_SIZE, + RAG_FILE_MAX_COUNT, + RAG_FILE_MAX_SIZE, + RAG_OPENAI_API_BASE_URL, + RAG_OPENAI_API_KEY, + RAG_RELEVANCE_THRESHOLD, + RAG_RERANKING_MODEL, + RAG_RERANKING_MODEL_AUTO_UPDATE, + RAG_RERANKING_MODEL_TRUST_REMOTE_CODE, + DEFAULT_RAG_TEMPLATE, + RAG_TEMPLATE, + RAG_TOP_K, + RAG_WEB_SEARCH_CONCURRENT_REQUESTS, + RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + RAG_WEB_SEARCH_ENGINE, + RAG_WEB_SEARCH_RESULT_COUNT, + SEARCHAPI_API_KEY, + SEARCHAPI_ENGINE, + SEARXNG_QUERY_URL, + SERPER_API_KEY, + SERPLY_API_KEY, + SERPSTACK_API_KEY, + SERPSTACK_HTTPS, + TAVILY_API_KEY, + TIKA_SERVER_URL, + UPLOAD_DIR, + YOUTUBE_LOADER_LANGUAGE, + AppConfig, +) +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import SRC_LOG_LEVELS, DEVICE_TYPE, DOCKER +from open_webui.utils.misc import ( + calculate_sha256, + calculate_sha256_string, + extract_folders_after_data_docs, + sanitize_filename, +) +from open_webui.utils.utils import get_admin_user, get_verified_user + +from langchain.text_splitter import RecursiveCharacterTextSplitter, TokenTextSplitter +from langchain_community.document_loaders import ( + YoutubeLoader, +) +from langchain_core.documents import Document + + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + +app = FastAPI(docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None) + +app.state.config = AppConfig() + +app.state.config.TOP_K = RAG_TOP_K +app.state.config.RELEVANCE_THRESHOLD = RAG_RELEVANCE_THRESHOLD +app.state.config.FILE_MAX_SIZE = RAG_FILE_MAX_SIZE +app.state.config.FILE_MAX_COUNT = RAG_FILE_MAX_COUNT + +app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH +app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = ( + ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION +) + +app.state.config.CONTENT_EXTRACTION_ENGINE = CONTENT_EXTRACTION_ENGINE +app.state.config.TIKA_SERVER_URL = TIKA_SERVER_URL + +app.state.config.TEXT_SPLITTER = RAG_TEXT_SPLITTER +app.state.config.TIKTOKEN_ENCODING_NAME = TIKTOKEN_ENCODING_NAME + +app.state.config.CHUNK_SIZE = CHUNK_SIZE +app.state.config.CHUNK_OVERLAP = CHUNK_OVERLAP + +app.state.config.RAG_EMBEDDING_ENGINE = RAG_EMBEDDING_ENGINE +app.state.config.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL +app.state.config.RAG_EMBEDDING_BATCH_SIZE = RAG_EMBEDDING_BATCH_SIZE +app.state.config.RAG_RERANKING_MODEL = RAG_RERANKING_MODEL +app.state.config.RAG_TEMPLATE = RAG_TEMPLATE + +app.state.config.OPENAI_API_BASE_URL = RAG_OPENAI_API_BASE_URL +app.state.config.OPENAI_API_KEY = RAG_OPENAI_API_KEY + +app.state.config.PDF_EXTRACT_IMAGES = PDF_EXTRACT_IMAGES + +app.state.config.YOUTUBE_LOADER_LANGUAGE = YOUTUBE_LOADER_LANGUAGE +app.state.YOUTUBE_LOADER_TRANSLATION = None + + +app.state.config.ENABLE_RAG_WEB_SEARCH = ENABLE_RAG_WEB_SEARCH +app.state.config.RAG_WEB_SEARCH_ENGINE = RAG_WEB_SEARCH_ENGINE +app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST = RAG_WEB_SEARCH_DOMAIN_FILTER_LIST + +app.state.config.SEARXNG_QUERY_URL = SEARXNG_QUERY_URL +app.state.config.GOOGLE_PSE_API_KEY = GOOGLE_PSE_API_KEY +app.state.config.GOOGLE_PSE_ENGINE_ID = GOOGLE_PSE_ENGINE_ID +app.state.config.BRAVE_SEARCH_API_KEY = BRAVE_SEARCH_API_KEY +app.state.config.SERPSTACK_API_KEY = SERPSTACK_API_KEY +app.state.config.SERPSTACK_HTTPS = SERPSTACK_HTTPS +app.state.config.SERPER_API_KEY = SERPER_API_KEY +app.state.config.SERPLY_API_KEY = SERPLY_API_KEY +app.state.config.TAVILY_API_KEY = TAVILY_API_KEY +app.state.config.SEARCHAPI_API_KEY = SEARCHAPI_API_KEY +app.state.config.SEARCHAPI_ENGINE = SEARCHAPI_ENGINE +app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = RAG_WEB_SEARCH_RESULT_COUNT +app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = RAG_WEB_SEARCH_CONCURRENT_REQUESTS + + +def update_embedding_model( + embedding_model: str, + auto_update: bool = False, +): + if embedding_model and app.state.config.RAG_EMBEDDING_ENGINE == "": + from sentence_transformers import SentenceTransformer + + app.state.sentence_transformer_ef = SentenceTransformer( + get_model_path(embedding_model, auto_update), + device=DEVICE_TYPE, + trust_remote_code=RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE, + ) + else: + app.state.sentence_transformer_ef = None + + +def update_reranking_model( + reranking_model: str, + auto_update: bool = False, +): + if reranking_model: + if any(model in reranking_model for model in ["jinaai/jina-colbert-v2"]): + try: + from open_webui.apps.retrieval.models.colbert import ColBERT + + app.state.sentence_transformer_rf = ColBERT( + get_model_path(reranking_model, auto_update), + env="docker" if DOCKER else None, + ) + except Exception as e: + log.error(f"ColBERT: {e}") + app.state.sentence_transformer_rf = None + app.state.config.ENABLE_RAG_HYBRID_SEARCH = False + else: + import sentence_transformers + + try: + app.state.sentence_transformer_rf = sentence_transformers.CrossEncoder( + get_model_path(reranking_model, auto_update), + device=DEVICE_TYPE, + trust_remote_code=RAG_RERANKING_MODEL_TRUST_REMOTE_CODE, + ) + except: + log.error("CrossEncoder error") + app.state.sentence_transformer_rf = None + app.state.config.ENABLE_RAG_HYBRID_SEARCH = False + else: + app.state.sentence_transformer_rf = None + + +update_embedding_model( + app.state.config.RAG_EMBEDDING_MODEL, + RAG_EMBEDDING_MODEL_AUTO_UPDATE, +) + +update_reranking_model( + app.state.config.RAG_RERANKING_MODEL, + RAG_RERANKING_MODEL_AUTO_UPDATE, +) + + +app.state.EMBEDDING_FUNCTION = get_embedding_function( + app.state.config.RAG_EMBEDDING_ENGINE, + app.state.config.RAG_EMBEDDING_MODEL, + app.state.sentence_transformer_ef, + app.state.config.OPENAI_API_KEY, + app.state.config.OPENAI_API_BASE_URL, + app.state.config.RAG_EMBEDDING_BATCH_SIZE, +) + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +class CollectionNameForm(BaseModel): + collection_name: Optional[str] = None + + +class ProcessUrlForm(CollectionNameForm): + url: str + + +class SearchForm(CollectionNameForm): + query: str + + +@app.get("/") +async def get_status(): + return { + "status": True, + "chunk_size": app.state.config.CHUNK_SIZE, + "chunk_overlap": app.state.config.CHUNK_OVERLAP, + "template": app.state.config.RAG_TEMPLATE, + "embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE, + "embedding_model": app.state.config.RAG_EMBEDDING_MODEL, + "reranking_model": app.state.config.RAG_RERANKING_MODEL, + "embedding_batch_size": app.state.config.RAG_EMBEDDING_BATCH_SIZE, + } + + +@app.get("/embedding") +async def get_embedding_config(user=Depends(get_admin_user)): + return { + "status": True, + "embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE, + "embedding_model": app.state.config.RAG_EMBEDDING_MODEL, + "embedding_batch_size": app.state.config.RAG_EMBEDDING_BATCH_SIZE, + "openai_config": { + "url": app.state.config.OPENAI_API_BASE_URL, + "key": app.state.config.OPENAI_API_KEY, + }, + } + + +@app.get("/reranking") +async def get_reraanking_config(user=Depends(get_admin_user)): + return { + "status": True, + "reranking_model": app.state.config.RAG_RERANKING_MODEL, + } + + +class OpenAIConfigForm(BaseModel): + url: str + key: str + + +class EmbeddingModelUpdateForm(BaseModel): + openai_config: Optional[OpenAIConfigForm] = None + embedding_engine: str + embedding_model: str + embedding_batch_size: Optional[int] = 1 + + +@app.post("/embedding/update") +async def update_embedding_config( + form_data: EmbeddingModelUpdateForm, user=Depends(get_admin_user) +): + log.info( + f"Updating embedding model: {app.state.config.RAG_EMBEDDING_MODEL} to {form_data.embedding_model}" + ) + try: + app.state.config.RAG_EMBEDDING_ENGINE = form_data.embedding_engine + app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model + + if app.state.config.RAG_EMBEDDING_ENGINE in ["ollama", "openai"]: + if form_data.openai_config is not None: + app.state.config.OPENAI_API_BASE_URL = form_data.openai_config.url + app.state.config.OPENAI_API_KEY = form_data.openai_config.key + app.state.config.RAG_EMBEDDING_BATCH_SIZE = form_data.embedding_batch_size + + update_embedding_model(app.state.config.RAG_EMBEDDING_MODEL) + + app.state.EMBEDDING_FUNCTION = get_embedding_function( + app.state.config.RAG_EMBEDDING_ENGINE, + app.state.config.RAG_EMBEDDING_MODEL, + app.state.sentence_transformer_ef, + app.state.config.OPENAI_API_KEY, + app.state.config.OPENAI_API_BASE_URL, + app.state.config.RAG_EMBEDDING_BATCH_SIZE, + ) + + return { + "status": True, + "embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE, + "embedding_model": app.state.config.RAG_EMBEDDING_MODEL, + "embedding_batch_size": app.state.config.RAG_EMBEDDING_BATCH_SIZE, + "openai_config": { + "url": app.state.config.OPENAI_API_BASE_URL, + "key": app.state.config.OPENAI_API_KEY, + }, + } + except Exception as e: + log.exception(f"Problem updating embedding model: {e}") + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +class RerankingModelUpdateForm(BaseModel): + reranking_model: str + + +@app.post("/reranking/update") +async def update_reranking_config( + form_data: RerankingModelUpdateForm, user=Depends(get_admin_user) +): + log.info( + f"Updating reranking model: {app.state.config.RAG_RERANKING_MODEL} to {form_data.reranking_model}" + ) + try: + app.state.config.RAG_RERANKING_MODEL = form_data.reranking_model + + update_reranking_model(app.state.config.RAG_RERANKING_MODEL, True) + + return { + "status": True, + "reranking_model": app.state.config.RAG_RERANKING_MODEL, + } + except Exception as e: + log.exception(f"Problem updating reranking model: {e}") + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +@app.get("/config") +async def get_rag_config(user=Depends(get_admin_user)): + return { + "status": True, + "pdf_extract_images": app.state.config.PDF_EXTRACT_IMAGES, + "content_extraction": { + "engine": app.state.config.CONTENT_EXTRACTION_ENGINE, + "tika_server_url": app.state.config.TIKA_SERVER_URL, + }, + "chunk": { + "text_splitter": app.state.config.TEXT_SPLITTER, + "chunk_size": app.state.config.CHUNK_SIZE, + "chunk_overlap": app.state.config.CHUNK_OVERLAP, + }, + "file": { + "max_size": app.state.config.FILE_MAX_SIZE, + "max_count": app.state.config.FILE_MAX_COUNT, + }, + "youtube": { + "language": app.state.config.YOUTUBE_LOADER_LANGUAGE, + "translation": app.state.YOUTUBE_LOADER_TRANSLATION, + }, + "web": { + "ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION, + "search": { + "enabled": app.state.config.ENABLE_RAG_WEB_SEARCH, + "engine": app.state.config.RAG_WEB_SEARCH_ENGINE, + "searxng_query_url": app.state.config.SEARXNG_QUERY_URL, + "google_pse_api_key": app.state.config.GOOGLE_PSE_API_KEY, + "google_pse_engine_id": app.state.config.GOOGLE_PSE_ENGINE_ID, + "brave_search_api_key": app.state.config.BRAVE_SEARCH_API_KEY, + "serpstack_api_key": app.state.config.SERPSTACK_API_KEY, + "serpstack_https": app.state.config.SERPSTACK_HTTPS, + "serper_api_key": app.state.config.SERPER_API_KEY, + "serply_api_key": app.state.config.SERPLY_API_KEY, + "tavily_api_key": app.state.config.TAVILY_API_KEY, + "searchapi_api_key": app.state.config.SEARCHAPI_API_KEY, + "seaarchapi_engine": app.state.config.SEARCHAPI_ENGINE, + "result_count": app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + "concurrent_requests": app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS, + }, + }, + } + + +class FileConfig(BaseModel): + max_size: Optional[int] = None + max_count: Optional[int] = None + + +class ContentExtractionConfig(BaseModel): + engine: str = "" + tika_server_url: Optional[str] = None + + +class ChunkParamUpdateForm(BaseModel): + text_splitter: Optional[str] = None + chunk_size: int + chunk_overlap: int + + +class YoutubeLoaderConfig(BaseModel): + language: list[str] + translation: Optional[str] = None + + +class WebSearchConfig(BaseModel): + enabled: bool + engine: Optional[str] = None + searxng_query_url: Optional[str] = None + google_pse_api_key: Optional[str] = None + google_pse_engine_id: Optional[str] = None + brave_search_api_key: Optional[str] = None + serpstack_api_key: Optional[str] = None + serpstack_https: Optional[bool] = None + serper_api_key: Optional[str] = None + serply_api_key: Optional[str] = None + tavily_api_key: Optional[str] = None + searchapi_api_key: Optional[str] = None + searchapi_engine: Optional[str] = None + result_count: Optional[int] = None + concurrent_requests: Optional[int] = None + + +class WebConfig(BaseModel): + search: WebSearchConfig + web_loader_ssl_verification: Optional[bool] = None + + +class ConfigUpdateForm(BaseModel): + pdf_extract_images: Optional[bool] = None + file: Optional[FileConfig] = None + content_extraction: Optional[ContentExtractionConfig] = None + chunk: Optional[ChunkParamUpdateForm] = None + youtube: Optional[YoutubeLoaderConfig] = None + web: Optional[WebConfig] = None + + +@app.post("/config/update") +async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user)): + app.state.config.PDF_EXTRACT_IMAGES = ( + form_data.pdf_extract_images + if form_data.pdf_extract_images is not None + else app.state.config.PDF_EXTRACT_IMAGES + ) + + if form_data.file is not None: + app.state.config.FILE_MAX_SIZE = form_data.file.max_size + app.state.config.FILE_MAX_COUNT = form_data.file.max_count + + if form_data.content_extraction is not None: + log.info(f"Updating text settings: {form_data.content_extraction}") + app.state.config.CONTENT_EXTRACTION_ENGINE = form_data.content_extraction.engine + app.state.config.TIKA_SERVER_URL = form_data.content_extraction.tika_server_url + + if form_data.chunk is not None: + app.state.config.TEXT_SPLITTER = form_data.chunk.text_splitter + app.state.config.CHUNK_SIZE = form_data.chunk.chunk_size + app.state.config.CHUNK_OVERLAP = form_data.chunk.chunk_overlap + + if form_data.youtube is not None: + app.state.config.YOUTUBE_LOADER_LANGUAGE = form_data.youtube.language + app.state.YOUTUBE_LOADER_TRANSLATION = form_data.youtube.translation + + if form_data.web is not None: + app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = ( + form_data.web.web_loader_ssl_verification + ) + + app.state.config.ENABLE_RAG_WEB_SEARCH = form_data.web.search.enabled + app.state.config.RAG_WEB_SEARCH_ENGINE = form_data.web.search.engine + app.state.config.SEARXNG_QUERY_URL = form_data.web.search.searxng_query_url + app.state.config.GOOGLE_PSE_API_KEY = form_data.web.search.google_pse_api_key + app.state.config.GOOGLE_PSE_ENGINE_ID = ( + form_data.web.search.google_pse_engine_id + ) + app.state.config.BRAVE_SEARCH_API_KEY = ( + form_data.web.search.brave_search_api_key + ) + app.state.config.SERPSTACK_API_KEY = form_data.web.search.serpstack_api_key + app.state.config.SERPSTACK_HTTPS = form_data.web.search.serpstack_https + app.state.config.SERPER_API_KEY = form_data.web.search.serper_api_key + app.state.config.SERPLY_API_KEY = form_data.web.search.serply_api_key + app.state.config.TAVILY_API_KEY = form_data.web.search.tavily_api_key + app.state.config.SEARCHAPI_API_KEY = form_data.web.search.searchapi_api_key + app.state.config.SEARCHAPI_ENGINE = form_data.web.search.searchapi_engine + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = form_data.web.search.result_count + app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = ( + form_data.web.search.concurrent_requests + ) + + return { + "status": True, + "pdf_extract_images": app.state.config.PDF_EXTRACT_IMAGES, + "file": { + "max_size": app.state.config.FILE_MAX_SIZE, + "max_count": app.state.config.FILE_MAX_COUNT, + }, + "content_extraction": { + "engine": app.state.config.CONTENT_EXTRACTION_ENGINE, + "tika_server_url": app.state.config.TIKA_SERVER_URL, + }, + "chunk": { + "text_splitter": app.state.config.TEXT_SPLITTER, + "chunk_size": app.state.config.CHUNK_SIZE, + "chunk_overlap": app.state.config.CHUNK_OVERLAP, + }, + "youtube": { + "language": app.state.config.YOUTUBE_LOADER_LANGUAGE, + "translation": app.state.YOUTUBE_LOADER_TRANSLATION, + }, + "web": { + "ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION, + "search": { + "enabled": app.state.config.ENABLE_RAG_WEB_SEARCH, + "engine": app.state.config.RAG_WEB_SEARCH_ENGINE, + "searxng_query_url": app.state.config.SEARXNG_QUERY_URL, + "google_pse_api_key": app.state.config.GOOGLE_PSE_API_KEY, + "google_pse_engine_id": app.state.config.GOOGLE_PSE_ENGINE_ID, + "brave_search_api_key": app.state.config.BRAVE_SEARCH_API_KEY, + "serpstack_api_key": app.state.config.SERPSTACK_API_KEY, + "serpstack_https": app.state.config.SERPSTACK_HTTPS, + "serper_api_key": app.state.config.SERPER_API_KEY, + "serply_api_key": app.state.config.SERPLY_API_KEY, + "serachapi_api_key": app.state.config.SEARCHAPI_API_KEY, + "searchapi_engine": app.state.config.SEARCHAPI_ENGINE, + "tavily_api_key": app.state.config.TAVILY_API_KEY, + "result_count": app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + "concurrent_requests": app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS, + }, + }, + } + + +@app.get("/template") +async def get_rag_template(user=Depends(get_verified_user)): + return { + "status": True, + "template": app.state.config.RAG_TEMPLATE, + } + + +@app.get("/query/settings") +async def get_query_settings(user=Depends(get_admin_user)): + return { + "status": True, + "template": app.state.config.RAG_TEMPLATE, + "k": app.state.config.TOP_K, + "r": app.state.config.RELEVANCE_THRESHOLD, + "hybrid": app.state.config.ENABLE_RAG_HYBRID_SEARCH, + } + + +class QuerySettingsForm(BaseModel): + k: Optional[int] = None + r: Optional[float] = None + template: Optional[str] = None + hybrid: Optional[bool] = None + + +@app.post("/query/settings/update") +async def update_query_settings( + form_data: QuerySettingsForm, user=Depends(get_admin_user) +): + app.state.config.RAG_TEMPLATE = form_data.template + app.state.config.TOP_K = form_data.k if form_data.k else 4 + app.state.config.RELEVANCE_THRESHOLD = form_data.r if form_data.r else 0.0 + + app.state.config.ENABLE_RAG_HYBRID_SEARCH = ( + form_data.hybrid if form_data.hybrid else False + ) + + return { + "status": True, + "template": app.state.config.RAG_TEMPLATE, + "k": app.state.config.TOP_K, + "r": app.state.config.RELEVANCE_THRESHOLD, + "hybrid": app.state.config.ENABLE_RAG_HYBRID_SEARCH, + } + + +#################################### +# +# Document process and retrieval +# +#################################### + + +def save_docs_to_vector_db( + docs, + collection_name, + metadata: Optional[dict] = None, + overwrite: bool = False, + split: bool = True, + add: bool = False, +) -> bool: + log.info(f"save_docs_to_vector_db {docs} {collection_name}") + + # Check if entries with the same hash (metadata.hash) already exist + if metadata and "hash" in metadata: + result = VECTOR_DB_CLIENT.query( + collection_name=collection_name, + filter={"hash": metadata["hash"]}, + ) + + if result is not None: + existing_doc_ids = result.ids[0] + if existing_doc_ids: + log.info(f"Document with hash {metadata['hash']} already exists") + raise ValueError(ERROR_MESSAGES.DUPLICATE_CONTENT) + + if split: + if app.state.config.TEXT_SPLITTER in ["", "character"]: + text_splitter = RecursiveCharacterTextSplitter( + chunk_size=app.state.config.CHUNK_SIZE, + chunk_overlap=app.state.config.CHUNK_OVERLAP, + add_start_index=True, + ) + elif app.state.config.TEXT_SPLITTER == "token": + log.info( + f"Using token text splitter: {app.state.config.TIKTOKEN_ENCODING_NAME}" + ) + + tiktoken.get_encoding(str(app.state.config.TIKTOKEN_ENCODING_NAME)) + text_splitter = TokenTextSplitter( + encoding_name=str(app.state.config.TIKTOKEN_ENCODING_NAME), + chunk_size=app.state.config.CHUNK_SIZE, + chunk_overlap=app.state.config.CHUNK_OVERLAP, + add_start_index=True, + ) + else: + raise ValueError(ERROR_MESSAGES.DEFAULT("Invalid text splitter")) + + docs = text_splitter.split_documents(docs) + + if len(docs) == 0: + raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT) + + texts = [doc.page_content for doc in docs] + metadatas = [ + { + **doc.metadata, + **(metadata if metadata else {}), + "embedding_config": json.dumps( + { + "engine": app.state.config.RAG_EMBEDDING_ENGINE, + "model": app.state.config.RAG_EMBEDDING_MODEL, + } + ), + } + for doc in docs + ] + + # ChromaDB does not like datetime formats + # for meta-data so convert them to string. + for metadata in metadatas: + for key, value in metadata.items(): + if isinstance(value, datetime): + metadata[key] = str(value) + + try: + if VECTOR_DB_CLIENT.has_collection(collection_name=collection_name): + log.info(f"collection {collection_name} already exists") + + if overwrite: + VECTOR_DB_CLIENT.delete_collection(collection_name=collection_name) + log.info(f"deleting existing collection {collection_name}") + elif add is False: + log.info( + f"collection {collection_name} already exists, overwrite is False and add is False" + ) + return True + + log.info(f"adding to collection {collection_name}") + embedding_function = get_embedding_function( + app.state.config.RAG_EMBEDDING_ENGINE, + app.state.config.RAG_EMBEDDING_MODEL, + app.state.sentence_transformer_ef, + app.state.config.OPENAI_API_KEY, + app.state.config.OPENAI_API_BASE_URL, + app.state.config.RAG_EMBEDDING_BATCH_SIZE, + ) + + embeddings = embedding_function( + list(map(lambda x: x.replace("\n", " "), texts)) + ) + + items = [ + { + "id": str(uuid.uuid4()), + "text": text, + "vector": embeddings[idx], + "metadata": metadatas[idx], + } + for idx, text in enumerate(texts) + ] + + VECTOR_DB_CLIENT.insert( + collection_name=collection_name, + items=items, + ) + + return True + except Exception as e: + log.exception(e) + return False + + +class ProcessFileForm(BaseModel): + file_id: str + content: Optional[str] = None + collection_name: Optional[str] = None + + +@app.post("/process/file") +def process_file( + form_data: ProcessFileForm, + user=Depends(get_verified_user), +): + try: + file = Files.get_file_by_id(form_data.file_id) + + collection_name = form_data.collection_name + + if collection_name is None: + collection_name = f"file-{file.id}" + + if form_data.content: + # Update the content in the file + # Usage: /files/{file_id}/data/content/update + + VECTOR_DB_CLIENT.delete( + collection_name=f"file-{file.id}", + filter={"file_id": file.id}, + ) + + docs = [ + Document( + page_content=form_data.content, + metadata={ + "name": file.meta.get("name", file.filename), + "created_by": file.user_id, + "file_id": file.id, + **file.meta, + }, + ) + ] + + text_content = form_data.content + elif form_data.collection_name: + # Check if the file has already been processed and save the content + # Usage: /knowledge/{id}/file/add, /knowledge/{id}/file/update + + result = VECTOR_DB_CLIENT.query( + collection_name=f"file-{file.id}", filter={"file_id": file.id} + ) + + if result is not None and len(result.ids[0]) > 0: + docs = [ + Document( + page_content=result.documents[0][idx], + metadata=result.metadatas[0][idx], + ) + for idx, id in enumerate(result.ids[0]) + ] + else: + docs = [ + Document( + page_content=file.data.get("content", ""), + metadata={ + "name": file.meta.get("name", file.filename), + "created_by": file.user_id, + "file_id": file.id, + **file.meta, + }, + ) + ] + + text_content = file.data.get("content", "") + else: + # Process the file and save the content + # Usage: /files/ + file_path = file.path + if file_path: + file_path = Storage.get_file(file_path) + loader = Loader( + engine=app.state.config.CONTENT_EXTRACTION_ENGINE, + TIKA_SERVER_URL=app.state.config.TIKA_SERVER_URL, + PDF_EXTRACT_IMAGES=app.state.config.PDF_EXTRACT_IMAGES, + ) + docs = loader.load( + file.filename, file.meta.get("content_type"), file_path + ) + else: + docs = [ + Document( + page_content=file.data.get("content", ""), + metadata={ + "name": file.filename, + "created_by": file.user_id, + "file_id": file.id, + **file.meta, + }, + ) + ] + text_content = " ".join([doc.page_content for doc in docs]) + + log.debug(f"text_content: {text_content}") + Files.update_file_data_by_id( + file.id, + {"content": text_content}, + ) + + hash = calculate_sha256_string(text_content) + Files.update_file_hash_by_id(file.id, hash) + + try: + result = save_docs_to_vector_db( + docs=docs, + collection_name=collection_name, + metadata={ + "file_id": file.id, + "name": file.meta.get("name", file.filename), + "hash": hash, + }, + add=(True if form_data.collection_name else False), + ) + + if result: + Files.update_file_metadata_by_id( + file.id, + { + "collection_name": collection_name, + }, + ) + + return { + "status": True, + "collection_name": collection_name, + "filename": file.meta.get("name", file.filename), + "content": text_content, + } + except Exception as e: + raise e + except Exception as e: + log.exception(e) + if "No pandoc was found" in str(e): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.PANDOC_NOT_INSTALLED, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) + + +class ProcessTextForm(BaseModel): + name: str + content: str + collection_name: Optional[str] = None + + +@app.post("/process/text") +def process_text( + form_data: ProcessTextForm, + user=Depends(get_verified_user), +): + collection_name = form_data.collection_name + if collection_name is None: + collection_name = calculate_sha256_string(form_data.content) + + docs = [ + Document( + page_content=form_data.content, + metadata={"name": form_data.name, "created_by": user.id}, + ) + ] + text_content = form_data.content + log.debug(f"text_content: {text_content}") + + result = save_docs_to_vector_db(docs, collection_name) + + if result: + return { + "status": True, + "collection_name": collection_name, + "content": text_content, + } + else: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=ERROR_MESSAGES.DEFAULT(), + ) + + +@app.post("/process/youtube") +def process_youtube_video(form_data: ProcessUrlForm, user=Depends(get_verified_user)): + try: + collection_name = form_data.collection_name + if not collection_name: + collection_name = calculate_sha256_string(form_data.url)[:63] + + loader = YoutubeLoader.from_youtube_url( + form_data.url, + add_video_info=True, + language=app.state.config.YOUTUBE_LOADER_LANGUAGE, + translation=app.state.YOUTUBE_LOADER_TRANSLATION, + ) + docs = loader.load() + content = " ".join([doc.page_content for doc in docs]) + log.debug(f"text_content: {content}") + save_docs_to_vector_db(docs, collection_name, overwrite=True) + + return { + "status": True, + "collection_name": collection_name, + "filename": form_data.url, + "file": { + "data": { + "content": content, + }, + "meta": { + "name": form_data.url, + }, + }, + } + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +@app.post("/process/web") +def process_web(form_data: ProcessUrlForm, user=Depends(get_verified_user)): + try: + collection_name = form_data.collection_name + if not collection_name: + collection_name = calculate_sha256_string(form_data.url)[:63] + + loader = get_web_loader( + form_data.url, + verify_ssl=app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION, + requests_per_second=app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS, + ) + docs = loader.load() + content = " ".join([doc.page_content for doc in docs]) + log.debug(f"text_content: {content}") + save_docs_to_vector_db(docs, collection_name, overwrite=True) + + return { + "status": True, + "collection_name": collection_name, + "filename": form_data.url, + "file": { + "data": { + "content": content, + }, + "meta": { + "name": form_data.url, + }, + }, + } + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +def search_web(engine: str, query: str) -> list[SearchResult]: + """Search the web using a search engine and return the results as a list of SearchResult objects. + Will look for a search engine API key in environment variables in the following order: + - SEARXNG_QUERY_URL + - GOOGLE_PSE_API_KEY + GOOGLE_PSE_ENGINE_ID + - BRAVE_SEARCH_API_KEY + - SERPSTACK_API_KEY + - SERPER_API_KEY + - SERPLY_API_KEY + - TAVILY_API_KEY + - SEARCHAPI_API_KEY + SEARCHAPI_ENGINE (by default `google`) + Args: + query (str): The query to search for + """ + + # TODO: add playwright to search the web + if engine == "searxng": + if app.state.config.SEARXNG_QUERY_URL: + return search_searxng( + app.state.config.SEARXNG_QUERY_URL, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + else: + raise Exception("No SEARXNG_QUERY_URL found in environment variables") + elif engine == "google_pse": + if ( + app.state.config.GOOGLE_PSE_API_KEY + and app.state.config.GOOGLE_PSE_ENGINE_ID + ): + return search_google_pse( + app.state.config.GOOGLE_PSE_API_KEY, + app.state.config.GOOGLE_PSE_ENGINE_ID, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + else: + raise Exception( + "No GOOGLE_PSE_API_KEY or GOOGLE_PSE_ENGINE_ID found in environment variables" + ) + elif engine == "brave": + if app.state.config.BRAVE_SEARCH_API_KEY: + return search_brave( + app.state.config.BRAVE_SEARCH_API_KEY, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + else: + raise Exception("No BRAVE_SEARCH_API_KEY found in environment variables") + elif engine == "serpstack": + if app.state.config.SERPSTACK_API_KEY: + return search_serpstack( + app.state.config.SERPSTACK_API_KEY, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + https_enabled=app.state.config.SERPSTACK_HTTPS, + ) + else: + raise Exception("No SERPSTACK_API_KEY found in environment variables") + elif engine == "serper": + if app.state.config.SERPER_API_KEY: + return search_serper( + app.state.config.SERPER_API_KEY, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + else: + raise Exception("No SERPER_API_KEY found in environment variables") + elif engine == "serply": + if app.state.config.SERPLY_API_KEY: + return search_serply( + app.state.config.SERPLY_API_KEY, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + else: + raise Exception("No SERPLY_API_KEY found in environment variables") + elif engine == "duckduckgo": + return search_duckduckgo( + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + elif engine == "tavily": + if app.state.config.TAVILY_API_KEY: + return search_tavily( + app.state.config.TAVILY_API_KEY, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + ) + else: + raise Exception("No TAVILY_API_KEY found in environment variables") + elif engine == "searchapi": + if app.state.config.SEARCHAPI_API_KEY: + return search_searchapi( + app.state.config.SEARCHAPI_API_KEY, + app.state.config.SEARCHAPI_ENGINE, + query, + app.state.config.RAG_WEB_SEARCH_RESULT_COUNT, + app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST, + ) + else: + raise Exception("No SEARCHAPI_API_KEY found in environment variables") + elif engine == "jina": + return search_jina(query, app.state.config.RAG_WEB_SEARCH_RESULT_COUNT) + else: + raise Exception("No search engine API key found in environment variables") + + +@app.post("/process/web/search") +def process_web_search(form_data: SearchForm, user=Depends(get_verified_user)): + try: + logging.info( + f"trying to web search with {app.state.config.RAG_WEB_SEARCH_ENGINE, form_data.query}" + ) + web_results = search_web( + app.state.config.RAG_WEB_SEARCH_ENGINE, form_data.query + ) + except Exception as e: + log.exception(e) + + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.WEB_SEARCH_ERROR(e), + ) + + try: + collection_name = form_data.collection_name + if collection_name == "": + collection_name = calculate_sha256_string(form_data.query)[:63] + + urls = [result.link for result in web_results] + + loader = get_web_loader(urls) + docs = loader.load() + + save_docs_to_vector_db(docs, collection_name, overwrite=True) + + return { + "status": True, + "collection_name": collection_name, + "filenames": urls, + } + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +class QueryDocForm(BaseModel): + collection_name: str + query: str + k: Optional[int] = None + r: Optional[float] = None + hybrid: Optional[bool] = None + + +@app.post("/query/doc") +def query_doc_handler( + form_data: QueryDocForm, + user=Depends(get_verified_user), +): + try: + if app.state.config.ENABLE_RAG_HYBRID_SEARCH: + return query_doc_with_hybrid_search( + collection_name=form_data.collection_name, + query=form_data.query, + embedding_function=app.state.EMBEDDING_FUNCTION, + k=form_data.k if form_data.k else app.state.config.TOP_K, + reranking_function=app.state.sentence_transformer_rf, + r=( + form_data.r if form_data.r else app.state.config.RELEVANCE_THRESHOLD + ), + ) + else: + return query_doc( + collection_name=form_data.collection_name, + query=form_data.query, + embedding_function=app.state.EMBEDDING_FUNCTION, + k=form_data.k if form_data.k else app.state.config.TOP_K, + ) + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +class QueryCollectionsForm(BaseModel): + collection_names: list[str] + query: str + k: Optional[int] = None + r: Optional[float] = None + hybrid: Optional[bool] = None + + +@app.post("/query/collection") +def query_collection_handler( + form_data: QueryCollectionsForm, + user=Depends(get_verified_user), +): + try: + if app.state.config.ENABLE_RAG_HYBRID_SEARCH: + return query_collection_with_hybrid_search( + collection_names=form_data.collection_names, + query=form_data.query, + embedding_function=app.state.EMBEDDING_FUNCTION, + k=form_data.k if form_data.k else app.state.config.TOP_K, + reranking_function=app.state.sentence_transformer_rf, + r=( + form_data.r if form_data.r else app.state.config.RELEVANCE_THRESHOLD + ), + ) + else: + return query_collection( + collection_names=form_data.collection_names, + query=form_data.query, + embedding_function=app.state.EMBEDDING_FUNCTION, + k=form_data.k if form_data.k else app.state.config.TOP_K, + ) + + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +#################################### +# +# Vector DB operations +# +#################################### + + +class DeleteForm(BaseModel): + collection_name: str + file_id: str + + +@app.post("/delete") +def delete_entries_from_collection(form_data: DeleteForm, user=Depends(get_admin_user)): + try: + if VECTOR_DB_CLIENT.has_collection(collection_name=form_data.collection_name): + file = Files.get_file_by_id(form_data.file_id) + hash = file.hash + + VECTOR_DB_CLIENT.delete( + collection_name=form_data.collection_name, + metadata={"hash": hash}, + ) + return {"status": True} + else: + return {"status": False} + except Exception as e: + log.exception(e) + return {"status": False} + + +@app.post("/reset/db") +def reset_vector_db(user=Depends(get_admin_user)): + VECTOR_DB_CLIENT.reset() + Knowledges.delete_all_knowledge() + + +@app.post("/reset/uploads") +def reset_upload_dir(user=Depends(get_admin_user)) -> bool: + folder = f"{UPLOAD_DIR}" + try: + # Check if the directory exists + if os.path.exists(folder): + # Iterate over all the files and directories in the specified directory + for filename in os.listdir(folder): + file_path = os.path.join(folder, filename) + try: + if os.path.isfile(file_path) or os.path.islink(file_path): + os.unlink(file_path) # Remove the file or link + elif os.path.isdir(file_path): + shutil.rmtree(file_path) # Remove the directory + except Exception as e: + print(f"Failed to delete {file_path}. Reason: {e}") + else: + print(f"The directory {folder} does not exist") + except Exception as e: + print(f"Failed to process the directory {folder}. Reason: {e}") + return True + + +if ENV == "dev": + + @app.get("/ef") + async def get_embeddings(): + return {"result": app.state.EMBEDDING_FUNCTION("hello world")} + + @app.get("/ef/{text}") + async def get_embeddings_text(text: str): + return {"result": app.state.EMBEDDING_FUNCTION(text)} diff --git a/backend/open_webui/apps/retrieval/models/colbert.py b/backend/open_webui/apps/retrieval/models/colbert.py new file mode 100644 index 0000000000000000000000000000000000000000..ea3204cb8bf91d7dbae4370d0f3628de7b6e031b --- /dev/null +++ b/backend/open_webui/apps/retrieval/models/colbert.py @@ -0,0 +1,81 @@ +import os +import torch +import numpy as np +from colbert.infra import ColBERTConfig +from colbert.modeling.checkpoint import Checkpoint + + +class ColBERT: + def __init__(self, name, **kwargs) -> None: + print("ColBERT: Loading model", name) + self.device = "cuda" if torch.cuda.is_available() else "cpu" + + DOCKER = kwargs.get("env") == "docker" + if DOCKER: + # This is a workaround for the issue with the docker container + # where the torch extension is not loaded properly + # and the following error is thrown: + # /root/.cache/torch_extensions/py311_cpu/segmented_maxsim_cpp/segmented_maxsim_cpp.so: cannot open shared object file: No such file or directory + + lock_file = ( + "/root/.cache/torch_extensions/py311_cpu/segmented_maxsim_cpp/lock" + ) + if os.path.exists(lock_file): + os.remove(lock_file) + + self.ckpt = Checkpoint( + name, + colbert_config=ColBERTConfig(model_name=name), + ).to(self.device) + pass + + def calculate_similarity_scores(self, query_embeddings, document_embeddings): + + query_embeddings = query_embeddings.to(self.device) + document_embeddings = document_embeddings.to(self.device) + + # Validate dimensions to ensure compatibility + if query_embeddings.dim() != 3: + raise ValueError( + f"Expected query embeddings to have 3 dimensions, but got {query_embeddings.dim()}." + ) + if document_embeddings.dim() != 3: + raise ValueError( + f"Expected document embeddings to have 3 dimensions, but got {document_embeddings.dim()}." + ) + if query_embeddings.size(0) not in [1, document_embeddings.size(0)]: + raise ValueError( + "There should be either one query or queries equal to the number of documents." + ) + + # Transpose the query embeddings to align for matrix multiplication + transposed_query_embeddings = query_embeddings.permute(0, 2, 1) + # Compute similarity scores using batch matrix multiplication + computed_scores = torch.matmul(document_embeddings, transposed_query_embeddings) + # Apply max pooling to extract the highest semantic similarity across each document's sequence + maximum_scores = torch.max(computed_scores, dim=1).values + + # Sum up the maximum scores across features to get the overall document relevance scores + final_scores = maximum_scores.sum(dim=1) + + normalized_scores = torch.softmax(final_scores, dim=0) + + return normalized_scores.detach().cpu().numpy().astype(np.float32) + + def predict(self, sentences): + + query = sentences[0][0] + docs = [i[1] for i in sentences] + + # Embedding the documents + embedded_docs = self.ckpt.docFromText(docs, bsize=32)[0] + # Embedding the queries + embedded_queries = self.ckpt.queryFromText([query], bsize=32) + embedded_query = embedded_queries[0] + + # Calculate retrieval scores for the query against all documents + scores = self.calculate_similarity_scores( + embedded_query.unsqueeze(0), embedded_docs + ) + + return scores diff --git a/backend/open_webui/apps/retrieval/utils.py b/backend/open_webui/apps/retrieval/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..153bd804ff7346cd88ee706c0769ae39700aa60f --- /dev/null +++ b/backend/open_webui/apps/retrieval/utils.py @@ -0,0 +1,573 @@ +import logging +import os +import uuid +from typing import Optional, Union + +import requests + +from huggingface_hub import snapshot_download +from langchain.retrievers import ContextualCompressionRetriever, EnsembleRetriever +from langchain_community.retrievers import BM25Retriever +from langchain_core.documents import Document + + +from open_webui.apps.ollama.main import ( + GenerateEmbedForm, + generate_ollama_batch_embeddings, +) +from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT +from open_webui.utils.misc import get_last_user_message + +from open_webui.env import SRC_LOG_LEVELS +from open_webui.config import DEFAULT_RAG_TEMPLATE + + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +from typing import Any + +from langchain_core.callbacks import CallbackManagerForRetrieverRun +from langchain_core.retrievers import BaseRetriever + + +class VectorSearchRetriever(BaseRetriever): + collection_name: Any + embedding_function: Any + top_k: int + + def _get_relevant_documents( + self, + query: str, + *, + run_manager: CallbackManagerForRetrieverRun, + ) -> list[Document]: + result = VECTOR_DB_CLIENT.search( + collection_name=self.collection_name, + vectors=[self.embedding_function(query)], + limit=self.top_k, + ) + + ids = result.ids[0] + metadatas = result.metadatas[0] + documents = result.documents[0] + + results = [] + for idx in range(len(ids)): + results.append( + Document( + metadata=metadatas[idx], + page_content=documents[idx], + ) + ) + return results + + +def query_doc( + collection_name: str, + query_embedding: list[float], + k: int, +): + try: + result = VECTOR_DB_CLIENT.search( + collection_name=collection_name, + vectors=[query_embedding], + limit=k, + ) + + log.info(f"query_doc:result {result}") + return result + except Exception as e: + print(e) + raise e + + +def query_doc_with_hybrid_search( + collection_name: str, + query: str, + embedding_function, + k: int, + reranking_function, + r: float, +) -> dict: + try: + result = VECTOR_DB_CLIENT.get(collection_name=collection_name) + + bm25_retriever = BM25Retriever.from_texts( + texts=result.documents[0], + metadatas=result.metadatas[0], + ) + bm25_retriever.k = k + + vector_search_retriever = VectorSearchRetriever( + collection_name=collection_name, + embedding_function=embedding_function, + top_k=k, + ) + + ensemble_retriever = EnsembleRetriever( + retrievers=[bm25_retriever, vector_search_retriever], weights=[0.5, 0.5] + ) + compressor = RerankCompressor( + embedding_function=embedding_function, + top_n=k, + reranking_function=reranking_function, + r_score=r, + ) + + compression_retriever = ContextualCompressionRetriever( + base_compressor=compressor, base_retriever=ensemble_retriever + ) + + result = compression_retriever.invoke(query) + result = { + "distances": [[d.metadata.get("score") for d in result]], + "documents": [[d.page_content for d in result]], + "metadatas": [[d.metadata for d in result]], + } + + log.info(f"query_doc_with_hybrid_search:result {result}") + return result + except Exception as e: + raise e + + +def merge_and_sort_query_results( + query_results: list[dict], k: int, reverse: bool = False +) -> list[dict]: + # Initialize lists to store combined data + combined_distances = [] + combined_documents = [] + combined_metadatas = [] + + for data in query_results: + combined_distances.extend(data["distances"][0]) + combined_documents.extend(data["documents"][0]) + combined_metadatas.extend(data["metadatas"][0]) + + # Create a list of tuples (distance, document, metadata) + combined = list(zip(combined_distances, combined_documents, combined_metadatas)) + + # Sort the list based on distances + combined.sort(key=lambda x: x[0], reverse=reverse) + + # We don't have anything :-( + if not combined: + sorted_distances = [] + sorted_documents = [] + sorted_metadatas = [] + else: + # Unzip the sorted list + sorted_distances, sorted_documents, sorted_metadatas = zip(*combined) + + # Slicing the lists to include only k elements + sorted_distances = list(sorted_distances)[:k] + sorted_documents = list(sorted_documents)[:k] + sorted_metadatas = list(sorted_metadatas)[:k] + + # Create the output dictionary + result = { + "distances": [sorted_distances], + "documents": [sorted_documents], + "metadatas": [sorted_metadatas], + } + + return result + + +def query_collection( + collection_names: list[str], + query: str, + embedding_function, + k: int, +) -> dict: + + results = [] + query_embedding = embedding_function(query) + + for collection_name in collection_names: + if collection_name: + try: + result = query_doc( + collection_name=collection_name, + k=k, + query_embedding=query_embedding, + ) + if result is not None: + results.append(result.model_dump()) + except Exception as e: + log.exception(f"Error when querying the collection: {e}") + else: + pass + + return merge_and_sort_query_results(results, k=k) + + +def query_collection_with_hybrid_search( + collection_names: list[str], + query: str, + embedding_function, + k: int, + reranking_function, + r: float, +) -> dict: + results = [] + error = False + for collection_name in collection_names: + try: + result = query_doc_with_hybrid_search( + collection_name=collection_name, + query=query, + embedding_function=embedding_function, + k=k, + reranking_function=reranking_function, + r=r, + ) + results.append(result) + except Exception as e: + log.exception( + "Error when querying the collection with " f"hybrid_search: {e}" + ) + error = True + + if error: + raise Exception( + "Hybrid search failed for all collections. Using Non hybrid search as fallback." + ) + + return merge_and_sort_query_results(results, k=k, reverse=True) + + +def rag_template(template: str, context: str, query: str): + if template == "": + template = DEFAULT_RAG_TEMPLATE + + if "[context]" not in template and "{{CONTEXT}}" not in template: + log.debug( + "WARNING: The RAG template does not contain the '[context]' or '{{CONTEXT}}' placeholder." + ) + + if "" in context and "" in context: + log.debug( + "WARNING: Potential prompt injection attack: the RAG " + "context contains '' and ''. This might be " + "nothing, or the user might be trying to hack something." + ) + + query_placeholders = [] + if "[query]" in context: + query_placeholder = "{{QUERY" + str(uuid.uuid4()) + "}}" + template = template.replace("[query]", query_placeholder) + query_placeholders.append(query_placeholder) + + if "{{QUERY}}" in context: + query_placeholder = "{{QUERY" + str(uuid.uuid4()) + "}}" + template = template.replace("{{QUERY}}", query_placeholder) + query_placeholders.append(query_placeholder) + + template = template.replace("[context]", context) + template = template.replace("{{CONTEXT}}", context) + template = template.replace("[query]", query) + template = template.replace("{{QUERY}}", query) + + for query_placeholder in query_placeholders: + template = template.replace(query_placeholder, query) + + return template + + +def get_embedding_function( + embedding_engine, + embedding_model, + embedding_function, + openai_key, + openai_url, + embedding_batch_size, +): + if embedding_engine == "": + return lambda query: embedding_function.encode(query).tolist() + elif embedding_engine in ["ollama", "openai"]: + func = lambda query: generate_embeddings( + engine=embedding_engine, + model=embedding_model, + text=query, + key=openai_key if embedding_engine == "openai" else "", + url=openai_url if embedding_engine == "openai" else "", + ) + + def generate_multiple(query, func): + if isinstance(query, list): + embeddings = [] + for i in range(0, len(query), embedding_batch_size): + embeddings.extend(func(query[i : i + embedding_batch_size])) + return embeddings + else: + return func(query) + + return lambda query: generate_multiple(query, func) + + +def get_rag_context( + files, + messages, + embedding_function, + k, + reranking_function, + r, + hybrid_search, +): + log.debug(f"files: {files} {messages} {embedding_function} {reranking_function}") + query = get_last_user_message(messages) + + extracted_collections = [] + relevant_contexts = [] + + for file in files: + if file.get("context") == "full": + context = { + "documents": [[file.get("file").get("data", {}).get("content")]], + "metadatas": [[{"file_id": file.get("id"), "name": file.get("name")}]], + } + else: + context = None + + collection_names = [] + if file.get("type") == "collection": + if file.get("legacy"): + collection_names = file.get("collection_names", []) + else: + collection_names.append(file["id"]) + elif file.get("collection_name"): + collection_names.append(file["collection_name"]) + elif file.get("id"): + if file.get("legacy"): + collection_names.append(f"{file['id']}") + else: + collection_names.append(f"file-{file['id']}") + + collection_names = set(collection_names).difference(extracted_collections) + if not collection_names: + log.debug(f"skipping {file} as it has already been extracted") + continue + + try: + context = None + if file.get("type") == "text": + context = file["content"] + else: + if hybrid_search: + try: + context = query_collection_with_hybrid_search( + collection_names=collection_names, + query=query, + embedding_function=embedding_function, + k=k, + reranking_function=reranking_function, + r=r, + ) + except Exception as e: + log.debug( + "Error when using hybrid search, using" + " non hybrid search as fallback." + ) + + if (not hybrid_search) or (context is None): + context = query_collection( + collection_names=collection_names, + query=query, + embedding_function=embedding_function, + k=k, + ) + except Exception as e: + log.exception(e) + + extracted_collections.extend(collection_names) + + if context: + if "data" in file: + del file["data"] + relevant_contexts.append({**context, "file": file}) + + contexts = [] + citations = [] + for context in relevant_contexts: + try: + if "documents" in context: + file_names = list( + set( + [ + metadata["name"] + for metadata in context["metadatas"][0] + if metadata is not None and "name" in metadata + ] + ) + ) + contexts.append( + ((", ".join(file_names) + ":\n\n") if file_names else "") + + "\n\n".join( + [text for text in context["documents"][0] if text is not None] + ) + ) + + if "metadatas" in context: + citation = { + "source": context["file"], + "document": context["documents"][0], + "metadata": context["metadatas"][0], + } + if "distances" in context and context["distances"]: + citation["distances"] = context["distances"][0] + citations.append(citation) + except Exception as e: + log.exception(e) + + print("contexts", contexts) + print("citations", citations) + + return contexts, citations + + +def get_model_path(model: str, update_model: bool = False): + # Construct huggingface_hub kwargs with local_files_only to return the snapshot path + cache_dir = os.getenv("SENTENCE_TRANSFORMERS_HOME") + + local_files_only = not update_model + + snapshot_kwargs = { + "cache_dir": cache_dir, + "local_files_only": local_files_only, + } + + log.debug(f"model: {model}") + log.debug(f"snapshot_kwargs: {snapshot_kwargs}") + + # Inspiration from upstream sentence_transformers + if ( + os.path.exists(model) + or ("\\" in model or model.count("/") > 1) + and local_files_only + ): + # If fully qualified path exists, return input, else set repo_id + return model + elif "/" not in model: + # Set valid repo_id for model short-name + model = "sentence-transformers" + "/" + model + + snapshot_kwargs["repo_id"] = model + + # Attempt to query the huggingface_hub library to determine the local path and/or to update + try: + model_repo_path = snapshot_download(**snapshot_kwargs) + log.debug(f"model_repo_path: {model_repo_path}") + return model_repo_path + except Exception as e: + log.exception(f"Cannot determine model snapshot path: {e}") + return model + + +def generate_openai_batch_embeddings( + model: str, texts: list[str], key: str, url: str = "https://api.openai.com/v1" +) -> Optional[list[list[float]]]: + try: + r = requests.post( + f"{url}/embeddings", + headers={ + "Content-Type": "application/json", + "Authorization": f"Bearer {key}", + }, + json={"input": texts, "model": model}, + ) + r.raise_for_status() + data = r.json() + if "data" in data: + return [elem["embedding"] for elem in data["data"]] + else: + raise "Something went wrong :/" + except Exception as e: + print(e) + return None + + +def generate_embeddings(engine: str, model: str, text: Union[str, list[str]], **kwargs): + if engine == "ollama": + if isinstance(text, list): + embeddings = generate_ollama_batch_embeddings( + GenerateEmbedForm(**{"model": model, "input": text}) + ) + else: + embeddings = generate_ollama_batch_embeddings( + GenerateEmbedForm(**{"model": model, "input": [text]}) + ) + return ( + embeddings["embeddings"][0] + if isinstance(text, str) + else embeddings["embeddings"] + ) + elif engine == "openai": + key = kwargs.get("key", "") + url = kwargs.get("url", "https://api.openai.com/v1") + + if isinstance(text, list): + embeddings = generate_openai_batch_embeddings(model, text, key, url) + else: + embeddings = generate_openai_batch_embeddings(model, [text], key, url) + + return embeddings[0] if isinstance(text, str) else embeddings + + +import operator +from typing import Optional, Sequence + +from langchain_core.callbacks import Callbacks +from langchain_core.documents import BaseDocumentCompressor, Document + + +class RerankCompressor(BaseDocumentCompressor): + embedding_function: Any + top_n: int + reranking_function: Any + r_score: float + + class Config: + extra = "forbid" + arbitrary_types_allowed = True + + def compress_documents( + self, + documents: Sequence[Document], + query: str, + callbacks: Optional[Callbacks] = None, + ) -> Sequence[Document]: + reranking = self.reranking_function is not None + + if reranking: + scores = self.reranking_function.predict( + [(query, doc.page_content) for doc in documents] + ) + else: + from sentence_transformers import util + + query_embedding = self.embedding_function(query) + document_embedding = self.embedding_function( + [doc.page_content for doc in documents] + ) + scores = util.cos_sim(query_embedding, document_embedding)[0] + + docs_with_scores = list(zip(documents, scores.tolist())) + if self.r_score: + docs_with_scores = [ + (d, s) for d, s in docs_with_scores if s >= self.r_score + ] + + result = sorted(docs_with_scores, key=operator.itemgetter(1), reverse=True) + final_results = [] + for doc, doc_score in result[: self.top_n]: + metadata = doc.metadata + metadata["score"] = doc_score + doc = Document( + page_content=doc.page_content, + metadata=metadata, + ) + final_results.append(doc) + return final_results diff --git a/backend/open_webui/apps/retrieval/vector/connector.py b/backend/open_webui/apps/retrieval/vector/connector.py new file mode 100644 index 0000000000000000000000000000000000000000..c7f00f5fd1632719c22d883b9f66194b56a2dcf2 --- /dev/null +++ b/backend/open_webui/apps/retrieval/vector/connector.py @@ -0,0 +1,14 @@ +from open_webui.config import VECTOR_DB + +if VECTOR_DB == "milvus": + from open_webui.apps.retrieval.vector.dbs.milvus import MilvusClient + + VECTOR_DB_CLIENT = MilvusClient() +elif VECTOR_DB == "qdrant": + from open_webui.apps.retrieval.vector.dbs.qdrant import QdrantClient + + VECTOR_DB_CLIENT = QdrantClient() +else: + from open_webui.apps.retrieval.vector.dbs.chroma import ChromaClient + + VECTOR_DB_CLIENT = ChromaClient() diff --git a/backend/open_webui/apps/retrieval/vector/dbs/chroma.py b/backend/open_webui/apps/retrieval/vector/dbs/chroma.py new file mode 100644 index 0000000000000000000000000000000000000000..7782671a23e0622e0b9de1b206908b00565a8532 --- /dev/null +++ b/backend/open_webui/apps/retrieval/vector/dbs/chroma.py @@ -0,0 +1,161 @@ +import chromadb +from chromadb import Settings +from chromadb.utils.batch_utils import create_batches + +from typing import Optional + +from open_webui.apps.retrieval.vector.main import VectorItem, SearchResult, GetResult +from open_webui.config import ( + CHROMA_DATA_PATH, + CHROMA_HTTP_HOST, + CHROMA_HTTP_PORT, + CHROMA_HTTP_HEADERS, + CHROMA_HTTP_SSL, + CHROMA_TENANT, + CHROMA_DATABASE, +) + + +class ChromaClient: + def __init__(self): + if CHROMA_HTTP_HOST != "": + self.client = chromadb.HttpClient( + host=CHROMA_HTTP_HOST, + port=CHROMA_HTTP_PORT, + headers=CHROMA_HTTP_HEADERS, + ssl=CHROMA_HTTP_SSL, + tenant=CHROMA_TENANT, + database=CHROMA_DATABASE, + settings=Settings(allow_reset=True, anonymized_telemetry=False), + ) + else: + self.client = chromadb.PersistentClient( + path=CHROMA_DATA_PATH, + settings=Settings(allow_reset=True, anonymized_telemetry=False), + tenant=CHROMA_TENANT, + database=CHROMA_DATABASE, + ) + + def has_collection(self, collection_name: str) -> bool: + # Check if the collection exists based on the collection name. + collections = self.client.list_collections() + return collection_name in [collection.name for collection in collections] + + def delete_collection(self, collection_name: str): + # Delete the collection based on the collection name. + return self.client.delete_collection(name=collection_name) + + def search( + self, collection_name: str, vectors: list[list[float | int]], limit: int + ) -> Optional[SearchResult]: + # Search for the nearest neighbor items based on the vectors and return 'limit' number of results. + try: + collection = self.client.get_collection(name=collection_name) + if collection: + result = collection.query( + query_embeddings=vectors, + n_results=limit, + ) + + return SearchResult( + **{ + "ids": result["ids"], + "distances": result["distances"], + "documents": result["documents"], + "metadatas": result["metadatas"], + } + ) + return None + except Exception as e: + return None + + def query( + self, collection_name: str, filter: dict, limit: Optional[int] = None + ) -> Optional[GetResult]: + # Query the items from the collection based on the filter. + try: + collection = self.client.get_collection(name=collection_name) + if collection: + result = collection.get( + where=filter, + limit=limit, + ) + + return GetResult( + **{ + "ids": [result["ids"]], + "documents": [result["documents"]], + "metadatas": [result["metadatas"]], + } + ) + return None + except Exception as e: + print(e) + return None + + def get(self, collection_name: str) -> Optional[GetResult]: + # Get all the items in the collection. + collection = self.client.get_collection(name=collection_name) + if collection: + result = collection.get() + return GetResult( + **{ + "ids": [result["ids"]], + "documents": [result["documents"]], + "metadatas": [result["metadatas"]], + } + ) + return None + + def insert(self, collection_name: str, items: list[VectorItem]): + # Insert the items into the collection, if the collection does not exist, it will be created. + collection = self.client.get_or_create_collection( + name=collection_name, metadata={"hnsw:space": "cosine"} + ) + + ids = [item["id"] for item in items] + documents = [item["text"] for item in items] + embeddings = [item["vector"] for item in items] + metadatas = [item["metadata"] for item in items] + + for batch in create_batches( + api=self.client, + documents=documents, + embeddings=embeddings, + ids=ids, + metadatas=metadatas, + ): + collection.add(*batch) + + def upsert(self, collection_name: str, items: list[VectorItem]): + # Update the items in the collection, if the items are not present, insert them. If the collection does not exist, it will be created. + collection = self.client.get_or_create_collection( + name=collection_name, metadata={"hnsw:space": "cosine"} + ) + + ids = [item["id"] for item in items] + documents = [item["text"] for item in items] + embeddings = [item["vector"] for item in items] + metadatas = [item["metadata"] for item in items] + + collection.upsert( + ids=ids, documents=documents, embeddings=embeddings, metadatas=metadatas + ) + + def delete( + self, + collection_name: str, + ids: Optional[list[str]] = None, + filter: Optional[dict] = None, + ): + # Delete the items from the collection based on the ids. + collection = self.client.get_collection(name=collection_name) + if collection: + if ids: + collection.delete(ids=ids) + elif filter: + collection.delete(where=filter) + + def reset(self): + # Resets the database. This will delete all collections and item entries. + return self.client.reset() diff --git a/backend/open_webui/apps/retrieval/vector/dbs/milvus.py b/backend/open_webui/apps/retrieval/vector/dbs/milvus.py new file mode 100644 index 0000000000000000000000000000000000000000..5351f860e045fc55b93a8524fc1a4e5697f8142d --- /dev/null +++ b/backend/open_webui/apps/retrieval/vector/dbs/milvus.py @@ -0,0 +1,286 @@ +from pymilvus import MilvusClient as Client +from pymilvus import FieldSchema, DataType +import json + +from typing import Optional + +from open_webui.apps.retrieval.vector.main import VectorItem, SearchResult, GetResult +from open_webui.config import ( + MILVUS_URI, +) + + +class MilvusClient: + def __init__(self): + self.collection_prefix = "open_webui" + self.client = Client(uri=MILVUS_URI) + + def _result_to_get_result(self, result) -> GetResult: + ids = [] + documents = [] + metadatas = [] + + for match in result: + _ids = [] + _documents = [] + _metadatas = [] + for item in match: + _ids.append(item.get("id")) + _documents.append(item.get("data", {}).get("text")) + _metadatas.append(item.get("metadata")) + + ids.append(_ids) + documents.append(_documents) + metadatas.append(_metadatas) + + return GetResult( + **{ + "ids": ids, + "documents": documents, + "metadatas": metadatas, + } + ) + + def _result_to_search_result(self, result) -> SearchResult: + ids = [] + distances = [] + documents = [] + metadatas = [] + + for match in result: + _ids = [] + _distances = [] + _documents = [] + _metadatas = [] + + for item in match: + _ids.append(item.get("id")) + _distances.append(item.get("distance")) + _documents.append(item.get("entity", {}).get("data", {}).get("text")) + _metadatas.append(item.get("entity", {}).get("metadata")) + + ids.append(_ids) + distances.append(_distances) + documents.append(_documents) + metadatas.append(_metadatas) + + return SearchResult( + **{ + "ids": ids, + "distances": distances, + "documents": documents, + "metadatas": metadatas, + } + ) + + def _create_collection(self, collection_name: str, dimension: int): + schema = self.client.create_schema( + auto_id=False, + enable_dynamic_field=True, + ) + schema.add_field( + field_name="id", + datatype=DataType.VARCHAR, + is_primary=True, + max_length=65535, + ) + schema.add_field( + field_name="vector", + datatype=DataType.FLOAT_VECTOR, + dim=dimension, + description="vector", + ) + schema.add_field(field_name="data", datatype=DataType.JSON, description="data") + schema.add_field( + field_name="metadata", datatype=DataType.JSON, description="metadata" + ) + + index_params = self.client.prepare_index_params() + index_params.add_index( + field_name="vector", + index_type="HNSW", + metric_type="COSINE", + params={"M": 16, "efConstruction": 100}, + ) + + self.client.create_collection( + collection_name=f"{self.collection_prefix}_{collection_name}", + schema=schema, + index_params=index_params, + ) + + def has_collection(self, collection_name: str) -> bool: + # Check if the collection exists based on the collection name. + collection_name = collection_name.replace("-", "_") + return self.client.has_collection( + collection_name=f"{self.collection_prefix}_{collection_name}" + ) + + def delete_collection(self, collection_name: str): + # Delete the collection based on the collection name. + collection_name = collection_name.replace("-", "_") + return self.client.drop_collection( + collection_name=f"{self.collection_prefix}_{collection_name}" + ) + + def search( + self, collection_name: str, vectors: list[list[float | int]], limit: int + ) -> Optional[SearchResult]: + # Search for the nearest neighbor items based on the vectors and return 'limit' number of results. + collection_name = collection_name.replace("-", "_") + result = self.client.search( + collection_name=f"{self.collection_prefix}_{collection_name}", + data=vectors, + limit=limit, + output_fields=["data", "metadata"], + ) + + return self._result_to_search_result(result) + + def query(self, collection_name: str, filter: dict, limit: Optional[int] = None): + # Construct the filter string for querying + collection_name = collection_name.replace("-", "_") + if not self.has_collection(collection_name): + return None + + filter_string = " && ".join( + [ + f'metadata["{key}"] == {json.dumps(value)}' + for key, value in filter.items() + ] + ) + + max_limit = 16383 # The maximum number of records per request + all_results = [] + + if limit is None: + limit = float("inf") # Use infinity as a placeholder for no limit + + # Initialize offset and remaining to handle pagination + offset = 0 + remaining = limit + + try: + # Loop until there are no more items to fetch or the desired limit is reached + while remaining > 0: + print("remaining", remaining) + current_fetch = min( + max_limit, remaining + ) # Determine how many items to fetch in this iteration + + results = self.client.query( + collection_name=f"{self.collection_prefix}_{collection_name}", + filter=filter_string, + output_fields=["*"], + limit=current_fetch, + offset=offset, + ) + + if not results: + break + + all_results.extend(results) + results_count = len(results) + remaining -= ( + results_count # Decrease remaining by the number of items fetched + ) + offset += results_count + + # Break the loop if the results returned are less than the requested fetch count + if results_count < current_fetch: + break + + print(all_results) + return self._result_to_get_result([all_results]) + except Exception as e: + print(e) + return None + + def get(self, collection_name: str) -> Optional[GetResult]: + # Get all the items in the collection. + collection_name = collection_name.replace("-", "_") + result = self.client.query( + collection_name=f"{self.collection_prefix}_{collection_name}", + filter='id != ""', + ) + return self._result_to_get_result([result]) + + def insert(self, collection_name: str, items: list[VectorItem]): + # Insert the items into the collection, if the collection does not exist, it will be created. + collection_name = collection_name.replace("-", "_") + if not self.client.has_collection( + collection_name=f"{self.collection_prefix}_{collection_name}" + ): + self._create_collection( + collection_name=collection_name, dimension=len(items[0]["vector"]) + ) + + return self.client.insert( + collection_name=f"{self.collection_prefix}_{collection_name}", + data=[ + { + "id": item["id"], + "vector": item["vector"], + "data": {"text": item["text"]}, + "metadata": item["metadata"], + } + for item in items + ], + ) + + def upsert(self, collection_name: str, items: list[VectorItem]): + # Update the items in the collection, if the items are not present, insert them. If the collection does not exist, it will be created. + collection_name = collection_name.replace("-", "_") + if not self.client.has_collection( + collection_name=f"{self.collection_prefix}_{collection_name}" + ): + self._create_collection( + collection_name=collection_name, dimension=len(items[0]["vector"]) + ) + + return self.client.upsert( + collection_name=f"{self.collection_prefix}_{collection_name}", + data=[ + { + "id": item["id"], + "vector": item["vector"], + "data": {"text": item["text"]}, + "metadata": item["metadata"], + } + for item in items + ], + ) + + def delete( + self, + collection_name: str, + ids: Optional[list[str]] = None, + filter: Optional[dict] = None, + ): + # Delete the items from the collection based on the ids. + collection_name = collection_name.replace("-", "_") + if ids: + return self.client.delete( + collection_name=f"{self.collection_prefix}_{collection_name}", + ids=ids, + ) + elif filter: + # Convert the filter dictionary to a string using JSON_CONTAINS. + filter_string = " && ".join( + [ + f'metadata["{key}"] == {json.dumps(value)}' + for key, value in filter.items() + ] + ) + + return self.client.delete( + collection_name=f"{self.collection_prefix}_{collection_name}", + filter=filter_string, + ) + + def reset(self): + # Resets the database. This will delete all collections and item entries. + collection_names = self.client.list_collections() + for collection_name in collection_names: + if collection_name.startswith(self.collection_prefix): + self.client.drop_collection(collection_name=collection_name) diff --git a/backend/open_webui/apps/retrieval/vector/dbs/qdrant.py b/backend/open_webui/apps/retrieval/vector/dbs/qdrant.py new file mode 100644 index 0000000000000000000000000000000000000000..c1e06872f9c207a9a11c4577b374ec5af4fb1d35 --- /dev/null +++ b/backend/open_webui/apps/retrieval/vector/dbs/qdrant.py @@ -0,0 +1,179 @@ +from typing import Optional + +from qdrant_client import QdrantClient as Qclient +from qdrant_client.http.models import PointStruct +from qdrant_client.models import models + +from open_webui.apps.retrieval.vector.main import VectorItem, SearchResult, GetResult +from open_webui.config import QDRANT_URI + +NO_LIMIT = 999999999 + + +class QdrantClient: + def __init__(self): + self.collection_prefix = "open-webui" + self.QDRANT_URI = QDRANT_URI + self.client = Qclient(url=self.QDRANT_URI) if self.QDRANT_URI else None + + def _result_to_get_result(self, points) -> GetResult: + ids = [] + documents = [] + metadatas = [] + + for point in points: + payload = point.payload + ids.append(point.id) + documents.append(payload["text"]) + metadatas.append(payload["metadata"]) + + return GetResult( + **{ + "ids": [ids], + "documents": [documents], + "metadatas": [metadatas], + } + ) + + def _create_collection(self, collection_name: str, dimension: int): + collection_name_with_prefix = f"{self.collection_prefix}_{collection_name}" + self.client.create_collection( + collection_name=collection_name_with_prefix, + vectors_config=models.VectorParams( + size=dimension, distance=models.Distance.COSINE + ), + ) + + print(f"collection {collection_name_with_prefix} successfully created!") + + def _create_collection_if_not_exists(self, collection_name, dimension): + if not self.has_collection(collection_name=collection_name): + self._create_collection( + collection_name=collection_name, dimension=dimension + ) + + def _create_points(self, items: list[VectorItem]): + return [ + PointStruct( + id=item["id"], + vector=item["vector"], + payload={"text": item["text"], "metadata": item["metadata"]}, + ) + for item in items + ] + + def has_collection(self, collection_name: str) -> bool: + return self.client.collection_exists( + f"{self.collection_prefix}_{collection_name}" + ) + + def delete_collection(self, collection_name: str): + return self.client.delete_collection( + collection_name=f"{self.collection_prefix}_{collection_name}" + ) + + def search( + self, collection_name: str, vectors: list[list[float | int]], limit: int + ) -> Optional[SearchResult]: + # Search for the nearest neighbor items based on the vectors and return 'limit' number of results. + if limit is None: + limit = NO_LIMIT # otherwise qdrant would set limit to 10! + + query_response = self.client.query_points( + collection_name=f"{self.collection_prefix}_{collection_name}", + query=vectors[0], + limit=limit, + ) + get_result = self._result_to_get_result(query_response.points) + return SearchResult( + ids=get_result.ids, + documents=get_result.documents, + metadatas=get_result.metadatas, + distances=[[point.score for point in query_response.points]], + ) + + def query(self, collection_name: str, filter: dict, limit: Optional[int] = None): + # Construct the filter string for querying + if not self.has_collection(collection_name): + return None + try: + if limit is None: + limit = NO_LIMIT # otherwise qdrant would set limit to 10! + + field_conditions = [] + for key, value in filter.items(): + field_conditions.append( + models.FieldCondition( + key=f"metadata.{key}", match=models.MatchValue(value=value) + ) + ) + + points = self.client.query_points( + collection_name=f"{self.collection_prefix}_{collection_name}", + query_filter=models.Filter(should=field_conditions), + limit=limit, + ) + return self._result_to_get_result(points.points) + except Exception as e: + print(e) + return None + + def get(self, collection_name: str) -> Optional[GetResult]: + # Get all the items in the collection. + points = self.client.query_points( + collection_name=f"{self.collection_prefix}_{collection_name}", + limit=NO_LIMIT, # otherwise qdrant would set limit to 10! + ) + return self._result_to_get_result(points.points) + + def insert(self, collection_name: str, items: list[VectorItem]): + # Insert the items into the collection, if the collection does not exist, it will be created. + self._create_collection_if_not_exists(collection_name, len(items[0]["vector"])) + points = self._create_points(items) + self.client.upload_points(f"{self.collection_prefix}_{collection_name}", points) + + def upsert(self, collection_name: str, items: list[VectorItem]): + # Update the items in the collection, if the items are not present, insert them. If the collection does not exist, it will be created. + self._create_collection_if_not_exists(collection_name, len(items[0]["vector"])) + points = self._create_points(items) + return self.client.upsert(f"{self.collection_prefix}_{collection_name}", points) + + def delete( + self, + collection_name: str, + ids: Optional[list[str]] = None, + filter: Optional[dict] = None, + ): + # Delete the items from the collection based on the ids. + field_conditions = [] + + if ids: + for id_value in ids: + field_conditions.append( + models.FieldCondition( + key="metadata.id", + match=models.MatchValue(value=id_value), + ), + ), + elif filter: + for key, value in filter.items(): + field_conditions.append( + models.FieldCondition( + key=f"metadata.{key}", + match=models.MatchValue(value=value), + ), + ), + + return self.client.delete( + collection_name=f"{self.collection_prefix}_{collection_name}", + points_selector=models.FilterSelector( + filter=models.Filter(must=field_conditions) + ), + ) + + def reset(self): + # Resets the database. This will delete all collections and item entries. + collection_names = self.client.get_collections().collections + for collection_name in collection_names: + if collection_name.name.startswith(self.collection_prefix): + self.client.delete_collection(collection_name=collection_name.name) diff --git a/backend/open_webui/apps/retrieval/vector/main.py b/backend/open_webui/apps/retrieval/vector/main.py new file mode 100644 index 0000000000000000000000000000000000000000..f0cf0c03876c1f803ddc0d6e3f0903026df50a12 --- /dev/null +++ b/backend/open_webui/apps/retrieval/vector/main.py @@ -0,0 +1,19 @@ +from pydantic import BaseModel +from typing import Optional, List, Any + + +class VectorItem(BaseModel): + id: str + text: str + vector: List[float | int] + metadata: Any + + +class GetResult(BaseModel): + ids: Optional[List[List[str]]] + documents: Optional[List[List[str]]] + metadatas: Optional[List[List[Any]]] + + +class SearchResult(GetResult): + distances: Optional[List[List[float | int]]] diff --git a/backend/open_webui/apps/retrieval/web/brave.py b/backend/open_webui/apps/retrieval/web/brave.py new file mode 100644 index 0000000000000000000000000000000000000000..f988b3b08ef6f432dd2205263cbbf662a117fcfc --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/brave.py @@ -0,0 +1,42 @@ +import logging +from typing import Optional + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_brave( + api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None +) -> list[SearchResult]: + """Search using Brave's Search API and return the results as a list of SearchResult objects. + + Args: + api_key (str): A Brave Search API key + query (str): The query to search for + """ + url = "https://api.search.brave.com/res/v1/web/search" + headers = { + "Accept": "application/json", + "Accept-Encoding": "gzip", + "X-Subscription-Token": api_key, + } + params = {"q": query, "count": count} + + response = requests.get(url, headers=headers, params=params) + response.raise_for_status() + + json_response = response.json() + results = json_response.get("web", {}).get("results", []) + if filter_list: + results = get_filtered_results(results, filter_list) + + return [ + SearchResult( + link=result["url"], title=result.get("title"), snippet=result.get("snippet") + ) + for result in results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/duckduckgo.py b/backend/open_webui/apps/retrieval/web/duckduckgo.py new file mode 100644 index 0000000000000000000000000000000000000000..11e5122964761b37f992e51325aaf793e951377b --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/duckduckgo.py @@ -0,0 +1,50 @@ +import logging +from typing import Optional + +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from duckduckgo_search import DDGS +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_duckduckgo( + query: str, count: int, filter_list: Optional[list[str]] = None +) -> list[SearchResult]: + """ + Search using DuckDuckGo's Search API and return the results as a list of SearchResult objects. + Args: + query (str): The query to search for + count (int): The number of results to return + + Returns: + list[SearchResult]: A list of search results + """ + # Use the DDGS context manager to create a DDGS object + with DDGS() as ddgs: + # Use the ddgs.text() method to perform the search + ddgs_gen = ddgs.text( + query, safesearch="moderate", max_results=count, backend="api" + ) + # Check if there are search results + if ddgs_gen: + # Convert the search results into a list + search_results = [r for r in ddgs_gen] + + # Create an empty list to store the SearchResult objects + results = [] + # Iterate over each search result + for result in search_results: + # Create a SearchResult object and append it to the results list + results.append( + SearchResult( + link=result["href"], + title=result.get("title"), + snippet=result.get("body"), + ) + ) + if filter_list: + results = get_filtered_results(results, filter_list) + # Return the list of search results + return results diff --git a/backend/open_webui/apps/retrieval/web/google_pse.py b/backend/open_webui/apps/retrieval/web/google_pse.py new file mode 100644 index 0000000000000000000000000000000000000000..61b919583ceba95eb02fddd4db41feeef6e5b2ea --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/google_pse.py @@ -0,0 +1,50 @@ +import logging +from typing import Optional + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_google_pse( + api_key: str, + search_engine_id: str, + query: str, + count: int, + filter_list: Optional[list[str]] = None, +) -> list[SearchResult]: + """Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects. + + Args: + api_key (str): A Programmable Search Engine API key + search_engine_id (str): A Programmable Search Engine ID + query (str): The query to search for + """ + url = "https://www.googleapis.com/customsearch/v1" + + headers = {"Content-Type": "application/json"} + params = { + "cx": search_engine_id, + "q": query, + "key": api_key, + "num": count, + } + + response = requests.request("GET", url, headers=headers, params=params) + response.raise_for_status() + + json_response = response.json() + results = json_response.get("items", []) + if filter_list: + results = get_filtered_results(results, filter_list) + return [ + SearchResult( + link=result["link"], + title=result.get("title"), + snippet=result.get("snippet"), + ) + for result in results + ] diff --git a/backend/open_webui/apps/retrieval/web/jina_search.py b/backend/open_webui/apps/retrieval/web/jina_search.py new file mode 100644 index 0000000000000000000000000000000000000000..487bbc9483685d9ee109735c587a9da4e2489d24 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/jina_search.py @@ -0,0 +1,41 @@ +import logging + +import requests +from open_webui.apps.retrieval.web.main import SearchResult +from open_webui.env import SRC_LOG_LEVELS +from yarl import URL + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_jina(query: str, count: int) -> list[SearchResult]: + """ + Search using Jina's Search API and return the results as a list of SearchResult objects. + Args: + query (str): The query to search for + count (int): The number of results to return + + Returns: + list[SearchResult]: A list of search results + """ + jina_search_endpoint = "https://s.jina.ai/" + headers = { + "Accept": "application/json", + } + url = str(URL(jina_search_endpoint + query)) + response = requests.get(url, headers=headers) + response.raise_for_status() + data = response.json() + + results = [] + for result in data["data"][:count]: + results.append( + SearchResult( + link=result["url"], + title=result.get("title"), + snippet=result.get("content"), + ) + ) + + return results diff --git a/backend/open_webui/apps/retrieval/web/main.py b/backend/open_webui/apps/retrieval/web/main.py new file mode 100644 index 0000000000000000000000000000000000000000..1af8a70aa15fa97ef5d5bff02ef33b5cc86c42b0 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/main.py @@ -0,0 +1,22 @@ +from typing import Optional +from urllib.parse import urlparse + +from pydantic import BaseModel + + +def get_filtered_results(results, filter_list): + if not filter_list: + return results + filtered_results = [] + for result in results: + url = result.get("url") or result.get("link", "") + domain = urlparse(url).netloc + if any(domain.endswith(filtered_domain) for filtered_domain in filter_list): + filtered_results.append(result) + return filtered_results + + +class SearchResult(BaseModel): + link: str + title: Optional[str] + snippet: Optional[str] diff --git a/backend/open_webui/apps/retrieval/web/searchapi.py b/backend/open_webui/apps/retrieval/web/searchapi.py new file mode 100644 index 0000000000000000000000000000000000000000..412dc6b6955c691e0e8050b1cdb71269cc27bce6 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/searchapi.py @@ -0,0 +1,48 @@ +import logging +from typing import Optional +from urllib.parse import urlencode + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_searchapi( + api_key: str, + engine: str, + query: str, + count: int, + filter_list: Optional[list[str]] = None, +) -> list[SearchResult]: + """Search using searchapi.io's API and return the results as a list of SearchResult objects. + + Args: + api_key (str): A searchapi.io API key + query (str): The query to search for + """ + url = "https://www.searchapi.io/api/v1/search" + + engine = engine or "google" + + payload = {"engine": engine, "q": query, "api_key": api_key} + + url = f"{url}?{urlencode(payload)}" + response = requests.request("GET", url) + + json_response = response.json() + log.info(f"results from searchapi search: {json_response}") + + results = sorted( + json_response.get("organic_results", []), key=lambda x: x.get("position", 0) + ) + if filter_list: + results = get_filtered_results(results, filter_list) + return [ + SearchResult( + link=result["link"], title=result["title"], snippet=result["snippet"] + ) + for result in results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/searxng.py b/backend/open_webui/apps/retrieval/web/searxng.py new file mode 100644 index 0000000000000000000000000000000000000000..cb1eaf91d03f88299e70b8e304b1a97a09aeff38 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/searxng.py @@ -0,0 +1,91 @@ +import logging +from typing import Optional + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_searxng( + query_url: str, + query: str, + count: int, + filter_list: Optional[list[str]] = None, + **kwargs, +) -> list[SearchResult]: + """ + Search a SearXNG instance for a given query and return the results as a list of SearchResult objects. + + The function allows passing additional parameters such as language or time_range to tailor the search result. + + Args: + query_url (str): The base URL of the SearXNG server. + query (str): The search term or question to find in the SearXNG database. + count (int): The maximum number of results to retrieve from the search. + + Keyword Args: + language (str): Language filter for the search results; e.g., "en-US". Defaults to an empty string. + safesearch (int): Safe search filter for safer web results; 0 = off, 1 = moderate, 2 = strict. Defaults to 1 (moderate). + time_range (str): Time range for filtering results by date; e.g., "2023-04-05..today" or "all-time". Defaults to ''. + categories: (Optional[list[str]]): Specific categories within which the search should be performed, defaulting to an empty string if not provided. + + Returns: + list[SearchResult]: A list of SearchResults sorted by relevance score in descending order. + + Raise: + requests.exceptions.RequestException: If a request error occurs during the search process. + """ + + # Default values for optional parameters are provided as empty strings or None when not specified. + language = kwargs.get("language", "en-US") + safesearch = kwargs.get("safesearch", "1") + time_range = kwargs.get("time_range", "") + categories = "".join(kwargs.get("categories", [])) + + params = { + "q": query, + "format": "json", + "pageno": 1, + "safesearch": safesearch, + "language": language, + "time_range": time_range, + "categories": categories, + "theme": "simple", + "image_proxy": 0, + } + + # Legacy query format + if "" in query_url: + # Strip all query parameters from the URL + query_url = query_url.split("?")[0] + + log.debug(f"searching {query_url}") + + response = requests.get( + query_url, + headers={ + "User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot", + "Accept": "text/html", + "Accept-Encoding": "gzip, deflate", + "Accept-Language": "en-US,en;q=0.5", + "Connection": "keep-alive", + }, + params=params, + ) + + response.raise_for_status() # Raise an exception for HTTP errors. + + json_response = response.json() + results = json_response.get("results", []) + sorted_results = sorted(results, key=lambda x: x.get("score", 0), reverse=True) + if filter_list: + sorted_results = get_filtered_results(sorted_results, filter_list) + return [ + SearchResult( + link=result["url"], title=result.get("title"), snippet=result.get("content") + ) + for result in sorted_results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/serper.py b/backend/open_webui/apps/retrieval/web/serper.py new file mode 100644 index 0000000000000000000000000000000000000000..436fa167e989ad5aba782f57e2cf36ba1e8bb619 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/serper.py @@ -0,0 +1,43 @@ +import json +import logging +from typing import Optional + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_serper( + api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None +) -> list[SearchResult]: + """Search using serper.dev's API and return the results as a list of SearchResult objects. + + Args: + api_key (str): A serper.dev API key + query (str): The query to search for + """ + url = "https://google.serper.dev/search" + + payload = json.dumps({"q": query}) + headers = {"X-API-KEY": api_key, "Content-Type": "application/json"} + + response = requests.request("POST", url, headers=headers, data=payload) + response.raise_for_status() + + json_response = response.json() + results = sorted( + json_response.get("organic", []), key=lambda x: x.get("position", 0) + ) + if filter_list: + results = get_filtered_results(results, filter_list) + return [ + SearchResult( + link=result["link"], + title=result.get("title"), + snippet=result.get("description"), + ) + for result in results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/serply.py b/backend/open_webui/apps/retrieval/web/serply.py new file mode 100644 index 0000000000000000000000000000000000000000..1c2521c47ab894fe1a8d8eca73af8a272af2c96e --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/serply.py @@ -0,0 +1,69 @@ +import logging +from typing import Optional +from urllib.parse import urlencode + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_serply( + api_key: str, + query: str, + count: int, + hl: str = "us", + limit: int = 10, + device_type: str = "desktop", + proxy_location: str = "US", + filter_list: Optional[list[str]] = None, +) -> list[SearchResult]: + """Search using serper.dev's API and return the results as a list of SearchResult objects. + + Args: + api_key (str): A serply.io API key + query (str): The query to search for + hl (str): Host Language code to display results in (reference https://developers.google.com/custom-search/docs/xml_results?hl=en#wsInterfaceLanguages) + limit (int): The maximum number of results to return [10-100, defaults to 10] + """ + log.info("Searching with Serply") + + url = "https://api.serply.io/v1/search/" + + query_payload = { + "q": query, + "language": "en", + "num": limit, + "gl": proxy_location.upper(), + "hl": hl.lower(), + } + + url = f"{url}{urlencode(query_payload)}" + headers = { + "X-API-KEY": api_key, + "X-User-Agent": device_type, + "User-Agent": "open-webui", + "X-Proxy-Location": proxy_location, + } + + response = requests.request("GET", url, headers=headers) + response.raise_for_status() + + json_response = response.json() + log.info(f"results from serply search: {json_response}") + + results = sorted( + json_response.get("results", []), key=lambda x: x.get("realPosition", 0) + ) + if filter_list: + results = get_filtered_results(results, filter_list) + return [ + SearchResult( + link=result["link"], + title=result.get("title"), + snippet=result.get("description"), + ) + for result in results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/serpstack.py b/backend/open_webui/apps/retrieval/web/serpstack.py new file mode 100644 index 0000000000000000000000000000000000000000..b655934de5a692faa01e4d28ebb7c41ecda85df3 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/serpstack.py @@ -0,0 +1,48 @@ +import logging +from typing import Optional + +import requests +from open_webui.apps.retrieval.web.main import SearchResult, get_filtered_results +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_serpstack( + api_key: str, + query: str, + count: int, + filter_list: Optional[list[str]] = None, + https_enabled: bool = True, +) -> list[SearchResult]: + """Search using serpstack.com's and return the results as a list of SearchResult objects. + + Args: + api_key (str): A serpstack.com API key + query (str): The query to search for + https_enabled (bool): Whether to use HTTPS or HTTP for the API request + """ + url = f"{'https' if https_enabled else 'http'}://api.serpstack.com/search" + + headers = {"Content-Type": "application/json"} + params = { + "access_key": api_key, + "query": query, + } + + response = requests.request("POST", url, headers=headers, params=params) + response.raise_for_status() + + json_response = response.json() + results = sorted( + json_response.get("organic_results", []), key=lambda x: x.get("position", 0) + ) + if filter_list: + results = get_filtered_results(results, filter_list) + return [ + SearchResult( + link=result["url"], title=result.get("title"), snippet=result.get("snippet") + ) + for result in results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/tavily.py b/backend/open_webui/apps/retrieval/web/tavily.py new file mode 100644 index 0000000000000000000000000000000000000000..03b0be75ac027053a5d7dd3d2f6a2fc05db52af0 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/tavily.py @@ -0,0 +1,38 @@ +import logging + +import requests +from open_webui.apps.retrieval.web.main import SearchResult +from open_webui.env import SRC_LOG_LEVELS + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def search_tavily(api_key: str, query: str, count: int) -> list[SearchResult]: + """Search using Tavily's Search API and return the results as a list of SearchResult objects. + + Args: + api_key (str): A Tavily Search API key + query (str): The query to search for + + Returns: + list[SearchResult]: A list of search results + """ + url = "https://api.tavily.com/search" + data = {"query": query, "api_key": api_key} + + response = requests.post(url, json=data) + response.raise_for_status() + + json_response = response.json() + + raw_search_results = json_response.get("results", []) + + return [ + SearchResult( + link=result["url"], + title=result.get("title", ""), + snippet=result.get("content"), + ) + for result in raw_search_results[:count] + ] diff --git a/backend/open_webui/apps/retrieval/web/testdata/brave.json b/backend/open_webui/apps/retrieval/web/testdata/brave.json new file mode 100644 index 0000000000000000000000000000000000000000..38487390d9067236e8d5bd6afcedfd08ae9e8368 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/testdata/brave.json @@ -0,0 +1,998 @@ +{ + "query": { + "original": "python", + "show_strict_warning": false, + "is_navigational": true, + "is_news_breaking": false, + 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[1] This is a design principle for all mutable data structures in Python.", + "We saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types — list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.", + "Python also includes a data type for sets. A set is an unordered collection with no duplicate elements. Basic uses include membership testing and eliminating duplicate entries. Set objects also support mathematical operations like union, intersection, difference, and symmetric difference.", + "Another useful data type built into Python is the dictionary (see Mapping Types — dict). Dictionaries are sometimes found in other languages as “associative memories” or “associative arrays”. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys." + ] + }, + { + "title": "Something wrong with python packages / AUR Issues, Discussion & PKGBUILD Requests / Arch Linux Forums", + "url": "https://bbs.archlinux.org/viewtopic.php?id=295466", + "is_source_local": false, + "is_source_both": false, + "description": "Big Python updates require Python packages to be rebuild. 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No preset version installed for command python Please install a version by running one of the following: asdf install python 3.8 or add one of the following versions in your config file at /home/ferret/.tool-versions python 3.11.0 python 3.12.1 python 3.12.3 ==> ERROR: A failure occurred in build(). Aborting...", + "-> error making: tlpui-exit status 4 -> Failed to install the following packages. Manual intervention is required: tlpui - exit status 4 ferret@FX505DT in ~ $ cat /home/ferret/.tool-versions nodejs 21.6.0 python 3.12.3 ferret@FX505DT in ~ $ python -V Python 3.12.3 ferret@FX505DT in ~ $ which python /home/ferret/.asdf/shims/python", + "Describe the Bug I am not sure why this is happening, I am trying to install tlpui from AUR and it fails, here are some logs to help: ==> Making package: tlpui 2:1.6.5-1 (Mi 10 apr 2024 23:19:15 +0300) ==> Retrieving sources... -> Found ..." + ] + }, + { + "title": "What are python.exe and python3.exe, and why do they appear to point to App Installer? | Windows 11 Forum", + "url": "https://www.elevenforum.com/t/what-are-python-exe-and-python3-exe-and-why-do-they-appear-to-point-to-app-installer.24886/", + "is_source_local": false, + "is_source_both": false, + "description": "I was looking at App execution aliases (Settings > Apps > Advanced app settings > App execution aliases) on my new computer -- my first Windows 11 computer. Why are python.exe and python3.exe listed as App Installer? I assume that App Installer refers to installation of Microsoft Store / UWP...", + "page_age": "2024-05-03T17:30:04", + "profile": { + "name": "Windows 11 Forum", + "url": "https://www.elevenforum.com/t/what-are-python-exe-and-python3-exe-and-why-do-they-appear-to-point-to-app-installer.24886/", + "long_name": "elevenforum.com", + "img": "https://imgs.search.brave.com/XVRAYMEj6Im8i7jV5RxeTwpiRPtY9IWg4wRIuh-WhEw/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvZjk5MDZkMDIw/M2U1OWIwNjM5Y2U1/M2U2NzNiNzVkNTA5/NzA5OTI1ZTFmOTc4/MzU3OTlhYzU5OTVi/ZGNjNTY4MS93d3cu/ZWxldmVuZm9ydW0u/Y29tLw" + }, + "language": "en", + "family_friendly": true, + "type": "search_result", + "subtype": "generic", + "meta_url": { + "scheme": "https", + "netloc": "elevenforum.com", + "hostname": "www.elevenforum.com", + "favicon": "https://imgs.search.brave.com/XVRAYMEj6Im8i7jV5RxeTwpiRPtY9IWg4wRIuh-WhEw/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvZjk5MDZkMDIw/M2U1OWIwNjM5Y2U1/M2U2NzNiNzVkNTA5/NzA5OTI1ZTFmOTc4/MzU3OTlhYzU5OTVi/ZGNjNTY4MS93d3cu/ZWxldmVuZm9ydW0u/Y29tLw", + "path": " › windows support forums › apps and software" + }, + "thumbnail": { + "src": "https://imgs.search.brave.com/DVoFcE6d_-lx3BVGNS-RZK_lZzxQ8VhwZVf3AVqEJFA/rs:fit:200:200:1/g:ce/aHR0cHM6Ly93d3cu/ZWxldmVuZm9ydW0u/Y29tL2RhdGEvYXNz/ZXRzL2xvZ28vbWV0/YTEtMjAxLnBuZw", + "original": "https://www.elevenforum.com/data/assets/logo/meta1-201.png", + "logo": true + }, + "age": "2 days ago", + "extra_snippets": [ + "Why are python.exe and python3.exe listed as App Installer? I assume that App Installer refers to installation of Microsoft Store / UWP apps, but if that's the case, then why are they called python.exe and python3.exe? Or are python.exe and python3.exe simply serving as aliases / pointers pointing to App Installer, which is itself a Microsoft Store App?", + "Or are python.exe and python3.exe simply serving as aliases / pointers pointing to App Installer, which is itself a Microsoft Store App? I wish to soon install Python, along with an integrated development editor (IDE), on my machine, so that I can code in Python.", + "I wish to soon install Python, along with an integrated development editor (IDE), on my machine, so that I can code in Python. But is a Python interpreter already on my computer as suggested, if obliquely, by the presence of python.exe and python3.exe? I kind of doubt it." + ] + }, + { + "title": "How to Watermark Your Images Using Python OpenCV in ...", + "url": "https://medium.com/@daily_data_prep/how-to-watermark-your-images-using-python-opencv-in-bulk-e472085389a1", + "is_source_local": false, + "is_source_both": false, + "description": "Medium is an open platform where readers find dynamic thinking, and where expert and undiscovered voices can share their writing on any topic.", + "page_age": "2024-05-03T14:05:06", + "profile": { + "name": "Medium", + "url": "https://medium.com/@daily_data_prep/how-to-watermark-your-images-using-python-opencv-in-bulk-e472085389a1", + "long_name": "medium.com", + "img": "https://imgs.search.brave.com/qvE2kIQCiAsnPv2C6P9xM5J2VVWdm55g-A-2Q_yIJ0g/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvOTZhYmQ1N2Q4/NDg4ZDcyODIyMDZi/MzFmOWNhNjE3Y2E4/Y2YzMThjNjljNDIx/ZjllZmNhYTcwODhl/YTcwNDEzYy9tZWRp/dW0uY29tLw" + }, + "language": "en", + "family_friendly": true, + "type": "search_result", + "subtype": "generic", + "meta_url": { + "scheme": "https", + "netloc": "medium.com", + "hostname": "medium.com", + "favicon": "https://imgs.search.brave.com/qvE2kIQCiAsnPv2C6P9xM5J2VVWdm55g-A-2Q_yIJ0g/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvOTZhYmQ1N2Q4/NDg4ZDcyODIyMDZi/MzFmOWNhNjE3Y2E4/Y2YzMThjNjljNDIx/ZjllZmNhYTcwODhl/YTcwNDEzYy9tZWRp/dW0uY29tLw", + "path": "› @daily_data_prep › how-to-watermark-your-images-using-python-opencv-in-bulk-e472085389a1" + }, + "age": "2 days ago" + }, + { + "title": "Increment and Decrement Operators in Python?", + "url": "https://www.tutorialspoint.com/increment-and-decrement-operators-in-python", + "is_source_local": false, + "is_source_both": false, + "description": "Increment and Decrement Operators in Python - Python does not have unary increment/decrement operator (++/--). 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Instead to increment a value, usea += 1to decrement a value, use −a -= 1Example>>> a = 0 >>> >>> #Increment >>> a +=1 >>> >>> #Decrement >>> a -= 1 >>> >>> #value of a >>> a 0Python does not provide multiple ways to do the same thing", + "So what above statement means in python is: create an object of type int having value 1 and give the name a to it. The object is an instance of int having value 1 and the name a refers to it. The assigned name a and the object to which it refers are distinct.", + "Python does not provide multiple ways to do the same thing .", + "However, be careful if you are coming from a language like C, Python doesn’t have \"variables\" in the sense that C does, instead python uses names and objects and in python integers (int’s) are immutable." + ] + }, + { + "title": "Gumroad – How not to suck at Python / SideFX Houdini | CG Persia", + "url": "https://cgpersia.com/2024/05/gumroad-how-not-to-suck-at-python-sidefx-houdini-195370.html", + "is_source_local": false, + "is_source_both": false, + "description": "Info: This course is made for artists or TD (technical director) willing to learn Python to improve their workflows inside SideFX Houdini, get faster in production and develop all the tools you always wished you had.", + "page_age": "2024-05-03T08:35:03", + "profile": { + "name": "Cgpersia", + "url": "https://cgpersia.com/2024/05/gumroad-how-not-to-suck-at-python-sidefx-houdini-195370.html", + "long_name": "cgpersia.com", + "img": "https://imgs.search.brave.com/VjyaopAm-M9sWvM7n-KnGZ3T5swIOwwE80iF5QVqQPg/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvYmE0MzQ4NmI2/NjFhMTA1ZDBiN2Iw/ZWNiNDUxNjUwYjdh/MGE5ZjQ0ZjIxNzll/NmVkZDE2YzYyMDBh/NDNiMDgwMy9jZ3Bl/cnNpYS5jb20v" + }, + "language": "en", + "family_friendly": true, + "type": "search_result", + "subtype": "generic", + "meta_url": { + "scheme": "https", + "netloc": "cgpersia.com", + "hostname": "cgpersia.com", + "favicon": "https://imgs.search.brave.com/VjyaopAm-M9sWvM7n-KnGZ3T5swIOwwE80iF5QVqQPg/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvYmE0MzQ4NmI2/NjFhMTA1ZDBiN2Iw/ZWNiNDUxNjUwYjdh/MGE5ZjQ0ZjIxNzll/NmVkZDE2YzYyMDBh/NDNiMDgwMy9jZ3Bl/cnNpYS5jb20v", + "path": "› 2024 › 05 › gumroad-how-not-to-suck-at-python-sidefx-houdini-195370.html" + }, + "age": "2 days ago", + "extra_snippets": [ + "Posted in: 2D, CG Releases, Downloads, Learning, Tutorials, Videos. Tagged: Gumroad, Python, Sidefx. Leave a Comment", + "01 – Python – Fundamentals Get the Fundamentals of python before starting the fun stuff ! 02 – Python Construction Part02 digging further into python concepts 03 – Houdini – Python Basics Applying some basic python in Houdini and starting to make tools !", + "02 – Python Construction Part02 digging further into python concepts 03 – Houdini – Python Basics Applying some basic python in Houdini and starting to make tools ! 04 – Houdini – Python Intermediate Applying some more advanced python in Houdini to make tools ! 05 – Houdini – Python Expert Using QtDesigner in combinaison with Houdini Python/Pyside to create advanced tools." + ] + }, + { + "title": "How to install Python: The complete Python programmer’s guide", + "url": "https://www.pluralsight.com/resources/blog/software-development/python-installation-guide", + "is_source_local": false, + "is_source_both": false, + "description": "An easy guide on how set up your operating system so you can program in Python, and how to update or uninstall it. 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"Chicago, IL" + }, + { + "attribute": "kc:/organization/organization:president", + "link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Chris+Kempczinski\u0026si=ACC90nwLLwns5sISZcdzuISy7t-NHozt8Cbt6G3WNQfC9ekAgKFbjdEFCDgxLbt57EDZGosYDGiZuq1AcBhA6IhTOSZxfVSySuGQ3VDwmmTA7Z93n3K3596jAuZH9VVv5h8PyvKJSuGuSsQWviJTl3eKj2UL1ZIWuDgkjyVMnC47rN7j0G9PlHRCCLdQF7VDQ1gubTiC4onXqLRBTbwAj6a--PD6Jv_NoA%3D%3D\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHEQAg", + "name": "President: ", + "value": "Chris Kempczinski" + } + ], + "website": "https://www.mcdonalds.com/us/en-us.html", + "profiles": [ + { + "name": "Instagram", + "url": "https://www.instagram.com/McDonalds" + }, + { + "name": "X (Twitter)", + "url": "https://twitter.com/McDonalds" + }, + { + "name": "Facebook", + "url": "https://www.facebook.com/McDonaldsUS" + }, + { + "name": "YouTube", + "url": "https://www.youtube.com/user/McDonaldsUS" + }, + { + "name": "Pinterest", + "url": "https://www.pinterest.com/mcdonalds" + } + ], + "founded": "April 15, 1955, Des Plaines, IL", + "headquarters": "Chicago, IL", + "founders": [ + { + "name": "Ray Kroc", + "link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Ray+Kroc\u0026si=ACC90nzx_D3_zUKRnpAjmO0UBLNxnt7EyN4YYdru6U3bxLI-LxARWRdbk5SkoY2sDn5Qq7yOmqYGei6qZ7sfJhsjZXBPgjMlLbS7824rpJOm69GzqVWMdoNIZiFX2T4A2td14sZOn4a1BexZLtZXHU7NZdF6VsWbGMVuiSYtXdev7uaUjEJKumiwlqTAATTebOriYTEBuSzC\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHgQAg" + } + ] + } +} diff --git a/backend/open_webui/apps/retrieval/web/utils.py b/backend/open_webui/apps/retrieval/web/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..2df98b33c8564d39892a25cd29ecbc916fcc8618 --- /dev/null +++ b/backend/open_webui/apps/retrieval/web/utils.py @@ -0,0 +1,97 @@ +import socket +import urllib.parse +import validators +from typing import Union, Sequence, Iterator + +from langchain_community.document_loaders import ( + WebBaseLoader, +) +from langchain_core.documents import Document + + +from open_webui.constants import ERROR_MESSAGES +from open_webui.config import ENABLE_RAG_LOCAL_WEB_FETCH +from open_webui.env import SRC_LOG_LEVELS + +import logging + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["RAG"]) + + +def validate_url(url: Union[str, Sequence[str]]): + if isinstance(url, str): + if isinstance(validators.url(url), validators.ValidationError): + raise ValueError(ERROR_MESSAGES.INVALID_URL) + if not ENABLE_RAG_LOCAL_WEB_FETCH: + # Local web fetch is disabled, filter out any URLs that resolve to private IP addresses + parsed_url = urllib.parse.urlparse(url) + # Get IPv4 and IPv6 addresses + ipv4_addresses, ipv6_addresses = resolve_hostname(parsed_url.hostname) + # Check if any of the resolved addresses are private + # This is technically still vulnerable to DNS rebinding attacks, as we don't control WebBaseLoader + for ip in ipv4_addresses: + if validators.ipv4(ip, private=True): + raise ValueError(ERROR_MESSAGES.INVALID_URL) + for ip in ipv6_addresses: + if validators.ipv6(ip, private=True): + raise ValueError(ERROR_MESSAGES.INVALID_URL) + return True + elif isinstance(url, Sequence): + return all(validate_url(u) for u in url) + else: + return False + + +def resolve_hostname(hostname): + # Get address information + addr_info = socket.getaddrinfo(hostname, None) + + # Extract IP addresses from address information + ipv4_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET] + ipv6_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET6] + + return ipv4_addresses, ipv6_addresses + + +class SafeWebBaseLoader(WebBaseLoader): + """WebBaseLoader with enhanced error handling for URLs.""" + + def lazy_load(self) -> Iterator[Document]: + """Lazy load text from the url(s) in web_path with error handling.""" + for path in self.web_paths: + try: + soup = self._scrape(path, bs_kwargs=self.bs_kwargs) + text = soup.get_text(**self.bs_get_text_kwargs) + + # Build metadata + metadata = {"source": path} + if title := soup.find("title"): + metadata["title"] = title.get_text() + if description := soup.find("meta", attrs={"name": "description"}): + metadata["description"] = description.get( + "content", "No description found." + ) + if html := soup.find("html"): + metadata["language"] = html.get("lang", "No language found.") + + yield Document(page_content=text, metadata=metadata) + except Exception as e: + # Log the error and continue with the next URL + log.error(f"Error loading {path}: {e}") + + +def get_web_loader( + url: Union[str, Sequence[str]], + verify_ssl: bool = True, + requests_per_second: int = 2, +): + # Check if the URL is valid + if not validate_url(url): + raise ValueError(ERROR_MESSAGES.INVALID_URL) + return SafeWebBaseLoader( + url, + verify_ssl=verify_ssl, + requests_per_second=requests_per_second, + continue_on_failure=True, + ) diff --git a/backend/open_webui/apps/socket/main.py b/backend/open_webui/apps/socket/main.py new file mode 100644 index 0000000000000000000000000000000000000000..fca268a6b4c0d5014d2a2d3ca45b0736c35e1fad --- /dev/null +++ b/backend/open_webui/apps/socket/main.py @@ -0,0 +1,219 @@ +import asyncio +import socketio +import logging +import sys +import time + +from open_webui.apps.webui.models.users import Users +from open_webui.env import ( + ENABLE_WEBSOCKET_SUPPORT, + WEBSOCKET_MANAGER, + WEBSOCKET_REDIS_URL, +) +from open_webui.utils.utils import decode_token +from open_webui.apps.socket.utils import RedisDict + +from open_webui.env import ( + GLOBAL_LOG_LEVEL, + SRC_LOG_LEVELS, +) + + +logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL) +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["SOCKET"]) + + +if WEBSOCKET_MANAGER == "redis": + mgr = socketio.AsyncRedisManager(WEBSOCKET_REDIS_URL) + sio = socketio.AsyncServer( + cors_allowed_origins=[], + async_mode="asgi", + transports=( + ["polling", "websocket"] if ENABLE_WEBSOCKET_SUPPORT else ["polling"] + ), + allow_upgrades=ENABLE_WEBSOCKET_SUPPORT, + always_connect=True, + client_manager=mgr, + ) +else: + sio = socketio.AsyncServer( + cors_allowed_origins=[], + async_mode="asgi", + transports=( + ["polling", "websocket"] if ENABLE_WEBSOCKET_SUPPORT else ["polling"] + ), + allow_upgrades=ENABLE_WEBSOCKET_SUPPORT, + always_connect=True, + ) + + +# Dictionary to maintain the user pool + +if WEBSOCKET_MANAGER == "redis": + SESSION_POOL = RedisDict("open-webui:session_pool", redis_url=WEBSOCKET_REDIS_URL) + USER_POOL = RedisDict("open-webui:user_pool", redis_url=WEBSOCKET_REDIS_URL) + USAGE_POOL = RedisDict("open-webui:usage_pool", redis_url=WEBSOCKET_REDIS_URL) +else: + SESSION_POOL = {} + USER_POOL = {} + USAGE_POOL = {} + + +# Timeout duration in seconds +TIMEOUT_DURATION = 3 + + +async def periodic_usage_pool_cleanup(): + while True: + now = int(time.time()) + for model_id, connections in list(USAGE_POOL.items()): + # Creating a list of sids to remove if they have timed out + expired_sids = [ + sid + for sid, details in connections.items() + if now - details["updated_at"] > TIMEOUT_DURATION + ] + + for sid in expired_sids: + del connections[sid] + + if not connections: + log.debug(f"Cleaning up model {model_id} from usage pool") + del USAGE_POOL[model_id] + else: + USAGE_POOL[model_id] = connections + + # Emit updated usage information after cleaning + await sio.emit("usage", {"models": get_models_in_use()}) + + await asyncio.sleep(TIMEOUT_DURATION) + + +app = socketio.ASGIApp( + sio, + socketio_path="/ws/socket.io", +) + + +def get_models_in_use(): + # List models that are currently in use + models_in_use = list(USAGE_POOL.keys()) + return models_in_use + + +@sio.on("usage") +async def usage(sid, data): + model_id = data["model"] + # Record the timestamp for the last update + current_time = int(time.time()) + + # Store the new usage data and task + USAGE_POOL[model_id] = { + **(USAGE_POOL[model_id] if model_id in USAGE_POOL else {}), + sid: {"updated_at": current_time}, + } + + # Broadcast the usage data to all clients + await sio.emit("usage", {"models": get_models_in_use()}) + + +@sio.event +async def connect(sid, environ, auth): + user = None + if auth and "token" in auth: + data = decode_token(auth["token"]) + + if data is not None and "id" in data: + user = Users.get_user_by_id(data["id"]) + + if user: + SESSION_POOL[sid] = user.id + if user.id in USER_POOL: + USER_POOL[user.id].append(sid) + else: + USER_POOL[user.id] = [sid] + + # print(f"user {user.name}({user.id}) connected with session ID {sid}") + await sio.emit("user-count", {"count": len(USER_POOL.items())}) + await sio.emit("usage", {"models": get_models_in_use()}) + + +@sio.on("user-join") +async def user_join(sid, data): + # print("user-join", sid, data) + + auth = data["auth"] if "auth" in data else None + if not auth or "token" not in auth: + return + + data = decode_token(auth["token"]) + if data is None or "id" not in data: + return + + user = Users.get_user_by_id(data["id"]) + if not user: + return + + SESSION_POOL[sid] = user.id + if user.id in USER_POOL: + USER_POOL[user.id].append(sid) + else: + USER_POOL[user.id] = [sid] + + # print(f"user {user.name}({user.id}) connected with session ID {sid}") + + await sio.emit("user-count", {"count": len(USER_POOL.items())}) + + +@sio.on("user-count") +async def user_count(sid): + await sio.emit("user-count", {"count": len(USER_POOL.items())}) + + +@sio.event +async def disconnect(sid): + if sid in SESSION_POOL: + user_id = SESSION_POOL[sid] + del SESSION_POOL[sid] + + USER_POOL[user_id] = [_sid for _sid in USER_POOL[user_id] if _sid != sid] + + if len(USER_POOL[user_id]) == 0: + del USER_POOL[user_id] + + await sio.emit("user-count", {"count": len(USER_POOL)}) + else: + pass + # print(f"Unknown session ID {sid} disconnected") + + +def get_event_emitter(request_info): + async def __event_emitter__(event_data): + await sio.emit( + "chat-events", + { + "chat_id": request_info["chat_id"], + "message_id": request_info["message_id"], + "data": event_data, + }, + to=request_info["session_id"], + ) + + return __event_emitter__ + + +def get_event_call(request_info): + async def __event_call__(event_data): + response = await sio.call( + "chat-events", + { + "chat_id": request_info["chat_id"], + "message_id": request_info["message_id"], + "data": event_data, + }, + to=request_info["session_id"], + ) + return response + + return __event_call__ diff --git a/backend/open_webui/apps/socket/utils.py b/backend/open_webui/apps/socket/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..1862ff439e8f8f6489ddc31a72f90abfa877ed72 --- /dev/null +++ b/backend/open_webui/apps/socket/utils.py @@ -0,0 +1,59 @@ +import json +import redis + + +class RedisDict: + def __init__(self, name, redis_url): + self.name = name + self.redis = redis.Redis.from_url(redis_url, decode_responses=True) + + def __setitem__(self, key, value): + serialized_value = json.dumps(value) + self.redis.hset(self.name, key, serialized_value) + + def __getitem__(self, key): + value = self.redis.hget(self.name, key) + if value is None: + raise KeyError(key) + return json.loads(value) + + def __delitem__(self, key): + result = self.redis.hdel(self.name, key) + if result == 0: + raise KeyError(key) + + def __contains__(self, key): + return self.redis.hexists(self.name, key) + + def __len__(self): + return self.redis.hlen(self.name) + + def keys(self): + return self.redis.hkeys(self.name) + + def values(self): + return [json.loads(v) for v in self.redis.hvals(self.name)] + + def items(self): + return [(k, json.loads(v)) for k, v in self.redis.hgetall(self.name).items()] + + def get(self, key, default=None): + try: + return self[key] + except KeyError: + return default + + def clear(self): + self.redis.delete(self.name) + + def update(self, other=None, **kwargs): + if other is not None: + for k, v in other.items() if hasattr(other, "items") else other: + self[k] = v + for k, v in kwargs.items(): + self[k] = v + + def setdefault(self, key, default=None): + if key not in self: + self[key] = default + return self[key] diff --git a/backend/open_webui/apps/webui/internal/db.py b/backend/open_webui/apps/webui/internal/db.py new file mode 100644 index 0000000000000000000000000000000000000000..bcf913e6fd6e474f59e9581bc944cec2b66415d9 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/db.py @@ -0,0 +1,114 @@ +import json +import logging +from contextlib import contextmanager +from typing import Any, Optional + +from open_webui.apps.webui.internal.wrappers import register_connection +from open_webui.env import ( + OPEN_WEBUI_DIR, + DATABASE_URL, + SRC_LOG_LEVELS, + DATABASE_POOL_MAX_OVERFLOW, + DATABASE_POOL_RECYCLE, + DATABASE_POOL_SIZE, + DATABASE_POOL_TIMEOUT, +) +from peewee_migrate import Router +from sqlalchemy import Dialect, create_engine, types +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import scoped_session, sessionmaker +from sqlalchemy.pool import QueuePool, NullPool +from sqlalchemy.sql.type_api import _T +from typing_extensions import Self + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["DB"]) + + +class JSONField(types.TypeDecorator): + impl = types.Text + cache_ok = True + + def process_bind_param(self, value: Optional[_T], dialect: Dialect) -> Any: + return json.dumps(value) + + def process_result_value(self, value: Optional[_T], dialect: Dialect) -> Any: + if value is not None: + return json.loads(value) + + def copy(self, **kw: Any) -> Self: + return JSONField(self.impl.length) + + def db_value(self, value): + return json.dumps(value) + + def python_value(self, value): + if value is not None: + return json.loads(value) + + +# Workaround to handle the peewee migration +# This is required to ensure the peewee migration is handled before the alembic migration +def handle_peewee_migration(DATABASE_URL): + # db = None + try: + # Replace the postgresql:// with postgres:// to handle the peewee migration + db = register_connection(DATABASE_URL.replace("postgresql://", "postgres://")) + migrate_dir = OPEN_WEBUI_DIR / "apps" / "webui" / "internal" / "migrations" + router = Router(db, logger=log, migrate_dir=migrate_dir) + router.run() + db.close() + + except Exception as e: + log.error(f"Failed to initialize the database connection: {e}") + raise + finally: + # Properly closing the database connection + if db and not db.is_closed(): + db.close() + + # Assert if db connection has been closed + assert db.is_closed(), "Database connection is still open." + + +handle_peewee_migration(DATABASE_URL) + + +SQLALCHEMY_DATABASE_URL = DATABASE_URL +if "sqlite" in SQLALCHEMY_DATABASE_URL: + engine = create_engine( + SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False} + ) +else: + if DATABASE_POOL_SIZE > 0: + engine = create_engine( + SQLALCHEMY_DATABASE_URL, + pool_size=DATABASE_POOL_SIZE, + max_overflow=DATABASE_POOL_MAX_OVERFLOW, + pool_timeout=DATABASE_POOL_TIMEOUT, + pool_recycle=DATABASE_POOL_RECYCLE, + pool_pre_ping=True, + poolclass=QueuePool, + ) + else: + engine = create_engine( + SQLALCHEMY_DATABASE_URL, pool_pre_ping=True, poolclass=NullPool + ) + + +SessionLocal = sessionmaker( + autocommit=False, autoflush=False, bind=engine, expire_on_commit=False +) +Base = declarative_base() +Session = scoped_session(SessionLocal) + + +def get_session(): + db = SessionLocal() + try: + yield db + finally: + db.close() + + +get_db = contextmanager(get_session) diff --git a/backend/open_webui/apps/webui/internal/migrations/001_initial_schema.py b/backend/open_webui/apps/webui/internal/migrations/001_initial_schema.py new file mode 100644 index 0000000000000000000000000000000000000000..93f278f15b842306c6d7e3367c696272c5e9da69 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/001_initial_schema.py @@ -0,0 +1,254 @@ +"""Peewee migrations -- 001_initial_schema.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + # We perform different migrations for SQLite and other databases + # This is because SQLite is very loose with enforcing its schema, and trying to migrate other databases like SQLite + # will require per-database SQL queries. + # Instead, we assume that because external DB support was added at a later date, it is safe to assume a newer base + # schema instead of trying to migrate from an older schema. + if isinstance(database, pw.SqliteDatabase): + migrate_sqlite(migrator, database, fake=fake) + else: + migrate_external(migrator, database, fake=fake) + + +def migrate_sqlite(migrator: Migrator, database: pw.Database, *, fake=False): + @migrator.create_model + class Auth(pw.Model): + id = pw.CharField(max_length=255, unique=True) + email = pw.CharField(max_length=255) + password = pw.CharField(max_length=255) + active = pw.BooleanField() + + class Meta: + table_name = "auth" + + @migrator.create_model + class Chat(pw.Model): + id = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + title = pw.CharField() + chat = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "chat" + + @migrator.create_model + class ChatIdTag(pw.Model): + id = pw.CharField(max_length=255, unique=True) + tag_name = pw.CharField(max_length=255) + chat_id = pw.CharField(max_length=255) + user_id = pw.CharField(max_length=255) + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "chatidtag" + + @migrator.create_model + class Document(pw.Model): + id = pw.AutoField() + collection_name = pw.CharField(max_length=255, unique=True) + name = pw.CharField(max_length=255, unique=True) + title = pw.CharField() + filename = pw.CharField() + content = pw.TextField(null=True) + user_id = pw.CharField(max_length=255) + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "document" + + @migrator.create_model + class Modelfile(pw.Model): + id = pw.AutoField() + tag_name = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + modelfile = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "modelfile" + + @migrator.create_model + class Prompt(pw.Model): + id = pw.AutoField() + command = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + title = pw.CharField() + content = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "prompt" + + @migrator.create_model + class Tag(pw.Model): + id = pw.CharField(max_length=255, unique=True) + name = pw.CharField(max_length=255) + user_id = pw.CharField(max_length=255) + data = pw.TextField(null=True) + + class Meta: + table_name = "tag" + + @migrator.create_model + class User(pw.Model): + id = pw.CharField(max_length=255, unique=True) + name = pw.CharField(max_length=255) + email = pw.CharField(max_length=255) + role = pw.CharField(max_length=255) + profile_image_url = pw.CharField(max_length=255) + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "user" + + +def migrate_external(migrator: Migrator, database: pw.Database, *, fake=False): + @migrator.create_model + class Auth(pw.Model): + id = pw.CharField(max_length=255, unique=True) + email = pw.CharField(max_length=255) + password = pw.TextField() + active = pw.BooleanField() + + class Meta: + table_name = "auth" + + @migrator.create_model + class Chat(pw.Model): + id = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + title = pw.TextField() + chat = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "chat" + + @migrator.create_model + class ChatIdTag(pw.Model): + id = pw.CharField(max_length=255, unique=True) + tag_name = pw.CharField(max_length=255) + chat_id = pw.CharField(max_length=255) + user_id = pw.CharField(max_length=255) + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "chatidtag" + + @migrator.create_model + class Document(pw.Model): + id = pw.AutoField() + collection_name = pw.CharField(max_length=255, unique=True) + name = pw.CharField(max_length=255, unique=True) + title = pw.TextField() + filename = pw.TextField() + content = pw.TextField(null=True) + user_id = pw.CharField(max_length=255) + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "document" + + @migrator.create_model + class Modelfile(pw.Model): + id = pw.AutoField() + tag_name = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + modelfile = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "modelfile" + + @migrator.create_model + class Prompt(pw.Model): + id = pw.AutoField() + command = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + title = pw.TextField() + content = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "prompt" + + @migrator.create_model + class Tag(pw.Model): + id = pw.CharField(max_length=255, unique=True) + name = pw.CharField(max_length=255) + user_id = pw.CharField(max_length=255) + data = pw.TextField(null=True) + + class Meta: + table_name = "tag" + + @migrator.create_model + class User(pw.Model): + id = pw.CharField(max_length=255, unique=True) + name = pw.CharField(max_length=255) + email = pw.CharField(max_length=255) + role = pw.CharField(max_length=255) + profile_image_url = pw.TextField() + timestamp = pw.BigIntegerField() + + class Meta: + table_name = "user" + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_model("user") + + migrator.remove_model("tag") + + migrator.remove_model("prompt") + + migrator.remove_model("modelfile") + + migrator.remove_model("document") + + migrator.remove_model("chatidtag") + + migrator.remove_model("chat") + + migrator.remove_model("auth") diff --git a/backend/open_webui/apps/webui/internal/migrations/002_add_local_sharing.py b/backend/open_webui/apps/webui/internal/migrations/002_add_local_sharing.py new file mode 100644 index 0000000000000000000000000000000000000000..e93501aeec522fc102a3ce26112b2edd0e518455 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/002_add_local_sharing.py @@ -0,0 +1,48 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + migrator.add_fields( + "chat", share_id=pw.CharField(max_length=255, null=True, unique=True) + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_fields("chat", "share_id") diff --git a/backend/open_webui/apps/webui/internal/migrations/003_add_auth_api_key.py b/backend/open_webui/apps/webui/internal/migrations/003_add_auth_api_key.py new file mode 100644 index 0000000000000000000000000000000000000000..07144f3aca6688a960f7036bcd2c20470da0881c --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/003_add_auth_api_key.py @@ -0,0 +1,48 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + migrator.add_fields( + "user", api_key=pw.CharField(max_length=255, null=True, unique=True) + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_fields("user", "api_key") diff --git a/backend/open_webui/apps/webui/internal/migrations/004_add_archived.py b/backend/open_webui/apps/webui/internal/migrations/004_add_archived.py new file mode 100644 index 0000000000000000000000000000000000000000..d01c06b4e665a61c709a8c662387e0c0755efa9a --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/004_add_archived.py @@ -0,0 +1,46 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + migrator.add_fields("chat", archived=pw.BooleanField(default=False)) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_fields("chat", "archived") diff --git a/backend/open_webui/apps/webui/internal/migrations/005_add_updated_at.py b/backend/open_webui/apps/webui/internal/migrations/005_add_updated_at.py new file mode 100644 index 0000000000000000000000000000000000000000..950866ef024e80fa1b1af6e296d89feb50a5f5f9 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/005_add_updated_at.py @@ -0,0 +1,130 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + if isinstance(database, pw.SqliteDatabase): + migrate_sqlite(migrator, database, fake=fake) + else: + migrate_external(migrator, database, fake=fake) + + +def migrate_sqlite(migrator: Migrator, database: pw.Database, *, fake=False): + # Adding fields created_at and updated_at to the 'chat' table + migrator.add_fields( + "chat", + created_at=pw.DateTimeField(null=True), # Allow null for transition + updated_at=pw.DateTimeField(null=True), # Allow null for transition + ) + + # Populate the new fields from an existing 'timestamp' field + migrator.sql( + "UPDATE chat SET created_at = timestamp, updated_at = timestamp WHERE timestamp IS NOT NULL" + ) + + # Now that the data has been copied, remove the original 'timestamp' field + migrator.remove_fields("chat", "timestamp") + + # Update the fields to be not null now that they are populated + migrator.change_fields( + "chat", + created_at=pw.DateTimeField(null=False), + updated_at=pw.DateTimeField(null=False), + ) + + +def migrate_external(migrator: Migrator, database: pw.Database, *, fake=False): + # Adding fields created_at and updated_at to the 'chat' table + migrator.add_fields( + "chat", + created_at=pw.BigIntegerField(null=True), # Allow null for transition + updated_at=pw.BigIntegerField(null=True), # Allow null for transition + ) + + # Populate the new fields from an existing 'timestamp' field + migrator.sql( + "UPDATE chat SET created_at = timestamp, updated_at = timestamp WHERE timestamp IS NOT NULL" + ) + + # Now that the data has been copied, remove the original 'timestamp' field + migrator.remove_fields("chat", "timestamp") + + # Update the fields to be not null now that they are populated + migrator.change_fields( + "chat", + created_at=pw.BigIntegerField(null=False), + updated_at=pw.BigIntegerField(null=False), + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + if isinstance(database, pw.SqliteDatabase): + rollback_sqlite(migrator, database, fake=fake) + else: + rollback_external(migrator, database, fake=fake) + + +def rollback_sqlite(migrator: Migrator, database: pw.Database, *, fake=False): + # Recreate the timestamp field initially allowing null values for safe transition + migrator.add_fields("chat", timestamp=pw.DateTimeField(null=True)) + + # Copy the earliest created_at date back into the new timestamp field + # This assumes created_at was originally a copy of timestamp + migrator.sql("UPDATE chat SET timestamp = created_at") + + # Remove the created_at and updated_at fields + migrator.remove_fields("chat", "created_at", "updated_at") + + # Finally, alter the timestamp field to not allow nulls if that was the original setting + migrator.change_fields("chat", timestamp=pw.DateTimeField(null=False)) + + +def rollback_external(migrator: Migrator, database: pw.Database, *, fake=False): + # Recreate the timestamp field initially allowing null values for safe transition + migrator.add_fields("chat", timestamp=pw.BigIntegerField(null=True)) + + # Copy the earliest created_at date back into the new timestamp field + # This assumes created_at was originally a copy of timestamp + migrator.sql("UPDATE chat SET timestamp = created_at") + + # Remove the created_at and updated_at fields + migrator.remove_fields("chat", "created_at", "updated_at") + + # Finally, alter the timestamp field to not allow nulls if that was the original setting + migrator.change_fields("chat", timestamp=pw.BigIntegerField(null=False)) diff --git a/backend/open_webui/apps/webui/internal/migrations/006_migrate_timestamps_and_charfields.py b/backend/open_webui/apps/webui/internal/migrations/006_migrate_timestamps_and_charfields.py new file mode 100644 index 0000000000000000000000000000000000000000..caca14d323e1fad148e7e14bae207c7e1b8896a9 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/006_migrate_timestamps_and_charfields.py @@ -0,0 +1,130 @@ +"""Peewee migrations -- 006_migrate_timestamps_and_charfields.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + # Alter the tables with timestamps + migrator.change_fields( + "chatidtag", + timestamp=pw.BigIntegerField(), + ) + migrator.change_fields( + "document", + timestamp=pw.BigIntegerField(), + ) + migrator.change_fields( + "modelfile", + timestamp=pw.BigIntegerField(), + ) + migrator.change_fields( + "prompt", + timestamp=pw.BigIntegerField(), + ) + migrator.change_fields( + "user", + timestamp=pw.BigIntegerField(), + ) + # Alter the tables with varchar to text where necessary + migrator.change_fields( + "auth", + password=pw.TextField(), + ) + migrator.change_fields( + "chat", + title=pw.TextField(), + ) + migrator.change_fields( + "document", + title=pw.TextField(), + filename=pw.TextField(), + ) + migrator.change_fields( + "prompt", + title=pw.TextField(), + ) + migrator.change_fields( + "user", + profile_image_url=pw.TextField(), + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + if isinstance(database, pw.SqliteDatabase): + # Alter the tables with timestamps + migrator.change_fields( + "chatidtag", + timestamp=pw.DateField(), + ) + migrator.change_fields( + "document", + timestamp=pw.DateField(), + ) + migrator.change_fields( + "modelfile", + timestamp=pw.DateField(), + ) + migrator.change_fields( + "prompt", + timestamp=pw.DateField(), + ) + migrator.change_fields( + "user", + timestamp=pw.DateField(), + ) + migrator.change_fields( + "auth", + password=pw.CharField(max_length=255), + ) + migrator.change_fields( + "chat", + title=pw.CharField(), + ) + migrator.change_fields( + "document", + title=pw.CharField(), + filename=pw.CharField(), + ) + migrator.change_fields( + "prompt", + title=pw.CharField(), + ) + migrator.change_fields( + "user", + profile_image_url=pw.CharField(), + ) diff --git a/backend/open_webui/apps/webui/internal/migrations/007_add_user_last_active_at.py b/backend/open_webui/apps/webui/internal/migrations/007_add_user_last_active_at.py new file mode 100644 index 0000000000000000000000000000000000000000..dd176ba73e51b15f74f45b839d0eb8e72fc63ecf --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/007_add_user_last_active_at.py @@ -0,0 +1,79 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + # Adding fields created_at and updated_at to the 'user' table + migrator.add_fields( + "user", + created_at=pw.BigIntegerField(null=True), # Allow null for transition + updated_at=pw.BigIntegerField(null=True), # Allow null for transition + last_active_at=pw.BigIntegerField(null=True), # Allow null for transition + ) + + # Populate the new fields from an existing 'timestamp' field + migrator.sql( + 'UPDATE "user" SET created_at = timestamp, updated_at = timestamp, last_active_at = timestamp WHERE timestamp IS NOT NULL' + ) + + # Now that the data has been copied, remove the original 'timestamp' field + migrator.remove_fields("user", "timestamp") + + # Update the fields to be not null now that they are populated + migrator.change_fields( + "user", + created_at=pw.BigIntegerField(null=False), + updated_at=pw.BigIntegerField(null=False), + last_active_at=pw.BigIntegerField(null=False), + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + # Recreate the timestamp field initially allowing null values for safe transition + migrator.add_fields("user", timestamp=pw.BigIntegerField(null=True)) + + # Copy the earliest created_at date back into the new timestamp field + # This assumes created_at was originally a copy of timestamp + migrator.sql('UPDATE "user" SET timestamp = created_at') + + # Remove the created_at and updated_at fields + migrator.remove_fields("user", "created_at", "updated_at", "last_active_at") + + # Finally, alter the timestamp field to not allow nulls if that was the original setting + migrator.change_fields("user", timestamp=pw.BigIntegerField(null=False)) diff --git a/backend/open_webui/apps/webui/internal/migrations/008_add_memory.py b/backend/open_webui/apps/webui/internal/migrations/008_add_memory.py new file mode 100644 index 0000000000000000000000000000000000000000..9307aa4d5c933cf0ee98c0932ab0e48bc4cecbc6 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/008_add_memory.py @@ -0,0 +1,53 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + @migrator.create_model + class Memory(pw.Model): + id = pw.CharField(max_length=255, unique=True) + user_id = pw.CharField(max_length=255) + content = pw.TextField(null=False) + updated_at = pw.BigIntegerField(null=False) + created_at = pw.BigIntegerField(null=False) + + class Meta: + table_name = "memory" + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_model("memory") diff --git a/backend/open_webui/apps/webui/internal/migrations/009_add_models.py b/backend/open_webui/apps/webui/internal/migrations/009_add_models.py new file mode 100644 index 0000000000000000000000000000000000000000..548ec7cdcabbc620f8c2c79b65709a6b08d9a11c --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/009_add_models.py @@ -0,0 +1,61 @@ +"""Peewee migrations -- 009_add_models.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + @migrator.create_model + class Model(pw.Model): + id = pw.TextField(unique=True) + user_id = pw.TextField() + base_model_id = pw.TextField(null=True) + + name = pw.TextField() + + meta = pw.TextField() + params = pw.TextField() + + created_at = pw.BigIntegerField(null=False) + updated_at = pw.BigIntegerField(null=False) + + class Meta: + table_name = "model" + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_model("model") diff --git a/backend/open_webui/apps/webui/internal/migrations/010_migrate_modelfiles_to_models.py b/backend/open_webui/apps/webui/internal/migrations/010_migrate_modelfiles_to_models.py new file mode 100644 index 0000000000000000000000000000000000000000..322ddd44ec9e810cdb351b903af5cbb8831e72e7 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/010_migrate_modelfiles_to_models.py @@ -0,0 +1,130 @@ +"""Peewee migrations -- 009_add_models.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator +import json + +from open_webui.utils.misc import parse_ollama_modelfile + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + # Fetch data from 'modelfile' table and insert into 'model' table + migrate_modelfile_to_model(migrator, database) + # Drop the 'modelfile' table + migrator.remove_model("modelfile") + + +def migrate_modelfile_to_model(migrator: Migrator, database: pw.Database): + ModelFile = migrator.orm["modelfile"] + Model = migrator.orm["model"] + + modelfiles = ModelFile.select() + + for modelfile in modelfiles: + # Extract and transform data in Python + + modelfile.modelfile = json.loads(modelfile.modelfile) + meta = json.dumps( + { + "description": modelfile.modelfile.get("desc"), + "profile_image_url": modelfile.modelfile.get("imageUrl"), + "ollama": {"modelfile": modelfile.modelfile.get("content")}, + "suggestion_prompts": modelfile.modelfile.get("suggestionPrompts"), + "categories": modelfile.modelfile.get("categories"), + "user": {**modelfile.modelfile.get("user", {}), "community": True}, + } + ) + + info = parse_ollama_modelfile(modelfile.modelfile.get("content")) + + # Insert the processed data into the 'model' table + Model.create( + id=f"ollama-{modelfile.tag_name}", + user_id=modelfile.user_id, + base_model_id=info.get("base_model_id"), + name=modelfile.modelfile.get("title"), + meta=meta, + params=json.dumps(info.get("params", {})), + created_at=modelfile.timestamp, + updated_at=modelfile.timestamp, + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + recreate_modelfile_table(migrator, database) + move_data_back_to_modelfile(migrator, database) + migrator.remove_model("model") + + +def recreate_modelfile_table(migrator: Migrator, database: pw.Database): + query = """ + CREATE TABLE IF NOT EXISTS modelfile ( + user_id TEXT, + tag_name TEXT, + modelfile JSON, + timestamp BIGINT + ) + """ + migrator.sql(query) + + +def move_data_back_to_modelfile(migrator: Migrator, database: pw.Database): + Model = migrator.orm["model"] + Modelfile = migrator.orm["modelfile"] + + models = Model.select() + + for model in models: + # Extract and transform data in Python + meta = json.loads(model.meta) + + modelfile_data = { + "title": model.name, + "desc": meta.get("description"), + "imageUrl": meta.get("profile_image_url"), + "content": meta.get("ollama", {}).get("modelfile"), + "suggestionPrompts": meta.get("suggestion_prompts"), + "categories": meta.get("categories"), + "user": {k: v for k, v in meta.get("user", {}).items() if k != "community"}, + } + + # Insert the processed data back into the 'modelfile' table + Modelfile.create( + user_id=model.user_id, + tag_name=model.id, + modelfile=modelfile_data, + timestamp=model.created_at, + ) diff --git a/backend/open_webui/apps/webui/internal/migrations/011_add_user_settings.py b/backend/open_webui/apps/webui/internal/migrations/011_add_user_settings.py new file mode 100644 index 0000000000000000000000000000000000000000..a1620dcadae41891922e324a9a6b152b81ea0ec4 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/011_add_user_settings.py @@ -0,0 +1,48 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + # Adding fields settings to the 'user' table + migrator.add_fields("user", settings=pw.TextField(null=True)) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + # Remove the settings field + migrator.remove_fields("user", "settings") diff --git a/backend/open_webui/apps/webui/internal/migrations/012_add_tools.py b/backend/open_webui/apps/webui/internal/migrations/012_add_tools.py new file mode 100644 index 0000000000000000000000000000000000000000..4a68eea552e4fb9b5d5f64f55e7b7966f342435b --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/012_add_tools.py @@ -0,0 +1,61 @@ +"""Peewee migrations -- 009_add_models.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + @migrator.create_model + class Tool(pw.Model): + id = pw.TextField(unique=True) + user_id = pw.TextField() + + name = pw.TextField() + content = pw.TextField() + specs = pw.TextField() + + meta = pw.TextField() + + created_at = pw.BigIntegerField(null=False) + updated_at = pw.BigIntegerField(null=False) + + class Meta: + table_name = "tool" + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_model("tool") diff --git a/backend/open_webui/apps/webui/internal/migrations/013_add_user_info.py b/backend/open_webui/apps/webui/internal/migrations/013_add_user_info.py new file mode 100644 index 0000000000000000000000000000000000000000..0f68669cca869fcd5537d1a0600ed45155056437 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/013_add_user_info.py @@ -0,0 +1,48 @@ +"""Peewee migrations -- 002_add_local_sharing.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + # Adding fields info to the 'user' table + migrator.add_fields("user", info=pw.TextField(null=True)) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + # Remove the settings field + migrator.remove_fields("user", "info") diff --git a/backend/open_webui/apps/webui/internal/migrations/014_add_files.py b/backend/open_webui/apps/webui/internal/migrations/014_add_files.py new file mode 100644 index 0000000000000000000000000000000000000000..5e1acf0ad8b9510b8d090c6458f292a124dd73cd --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/014_add_files.py @@ -0,0 +1,55 @@ +"""Peewee migrations -- 009_add_models.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + @migrator.create_model + class File(pw.Model): + id = pw.TextField(unique=True) + user_id = pw.TextField() + filename = pw.TextField() + meta = pw.TextField() + created_at = pw.BigIntegerField(null=False) + + class Meta: + table_name = "file" + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_model("file") diff --git a/backend/open_webui/apps/webui/internal/migrations/015_add_functions.py b/backend/open_webui/apps/webui/internal/migrations/015_add_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..8316a9333bad45eccf7d6708016ef5c45b208360 --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/015_add_functions.py @@ -0,0 +1,61 @@ +"""Peewee migrations -- 009_add_models.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + @migrator.create_model + class Function(pw.Model): + id = pw.TextField(unique=True) + user_id = pw.TextField() + + name = pw.TextField() + type = pw.TextField() + + content = pw.TextField() + meta = pw.TextField() + + created_at = pw.BigIntegerField(null=False) + updated_at = pw.BigIntegerField(null=False) + + class Meta: + table_name = "function" + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_model("function") diff --git a/backend/open_webui/apps/webui/internal/migrations/016_add_valves_and_is_active.py b/backend/open_webui/apps/webui/internal/migrations/016_add_valves_and_is_active.py new file mode 100644 index 0000000000000000000000000000000000000000..e3af521b7e841ee01b226ad867ae509e42e5eb4f --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/016_add_valves_and_is_active.py @@ -0,0 +1,50 @@ +"""Peewee migrations -- 009_add_models.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + migrator.add_fields("tool", valves=pw.TextField(null=True)) + migrator.add_fields("function", valves=pw.TextField(null=True)) + migrator.add_fields("function", is_active=pw.BooleanField(default=False)) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_fields("tool", "valves") + migrator.remove_fields("function", "valves") + migrator.remove_fields("function", "is_active") diff --git a/backend/open_webui/apps/webui/internal/migrations/017_add_user_oauth_sub.py b/backend/open_webui/apps/webui/internal/migrations/017_add_user_oauth_sub.py new file mode 100644 index 0000000000000000000000000000000000000000..eaa3fa5fe54bd37691593ba6fc2840b8653d534d --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/017_add_user_oauth_sub.py @@ -0,0 +1,45 @@ +"""Peewee migrations -- 017_add_user_oauth_sub.py. +Some examples (model - class or model name):: + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + migrator.add_fields( + "user", + oauth_sub=pw.TextField(null=True, unique=True), + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_fields("user", "oauth_sub") diff --git a/backend/open_webui/apps/webui/internal/migrations/018_add_function_is_global.py b/backend/open_webui/apps/webui/internal/migrations/018_add_function_is_global.py new file mode 100644 index 0000000000000000000000000000000000000000..04cdab705986a36227a7f73e800d6739f00033ce --- /dev/null +++ b/backend/open_webui/apps/webui/internal/migrations/018_add_function_is_global.py @@ -0,0 +1,49 @@ +"""Peewee migrations -- 017_add_user_oauth_sub.py. + +Some examples (model - class or model name):: + + > Model = migrator.orm['table_name'] # Return model in current state by name + > Model = migrator.ModelClass # Return model in current state by name + + > migrator.sql(sql) # Run custom SQL + > migrator.run(func, *args, **kwargs) # Run python function with the given args + > migrator.create_model(Model) # Create a model (could be used as decorator) + > migrator.remove_model(model, cascade=True) # Remove a model + > migrator.add_fields(model, **fields) # Add fields to a model + > migrator.change_fields(model, **fields) # Change fields + > migrator.remove_fields(model, *field_names, cascade=True) + > migrator.rename_field(model, old_field_name, new_field_name) + > migrator.rename_table(model, new_table_name) + > migrator.add_index(model, *col_names, unique=False) + > migrator.add_not_null(model, *field_names) + > migrator.add_default(model, field_name, default) + > migrator.add_constraint(model, name, sql) + > migrator.drop_index(model, *col_names) + > migrator.drop_not_null(model, *field_names) + > migrator.drop_constraints(model, *constraints) + +""" + +from contextlib import suppress + +import peewee as pw +from peewee_migrate import Migrator + + +with suppress(ImportError): + import playhouse.postgres_ext as pw_pext + + +def migrate(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your migrations here.""" + + migrator.add_fields( + "function", + is_global=pw.BooleanField(default=False), + ) + + +def rollback(migrator: Migrator, database: pw.Database, *, fake=False): + """Write your rollback migrations here.""" + + migrator.remove_fields("function", "is_global") diff --git a/backend/open_webui/apps/webui/internal/wrappers.py b/backend/open_webui/apps/webui/internal/wrappers.py new file mode 100644 index 0000000000000000000000000000000000000000..ccc62b9a5741c52f5a84ade064c6e935fb66dd8a --- /dev/null +++ b/backend/open_webui/apps/webui/internal/wrappers.py @@ -0,0 +1,66 @@ +import logging +from contextvars import ContextVar + +from open_webui.env import SRC_LOG_LEVELS +from peewee import * +from peewee import InterfaceError as PeeWeeInterfaceError +from peewee import PostgresqlDatabase +from playhouse.db_url import connect, parse +from playhouse.shortcuts import ReconnectMixin + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["DB"]) + +db_state_default = {"closed": None, "conn": None, "ctx": None, "transactions": None} +db_state = ContextVar("db_state", default=db_state_default.copy()) + + +class PeeweeConnectionState(object): + def __init__(self, **kwargs): + super().__setattr__("_state", db_state) + super().__init__(**kwargs) + + def __setattr__(self, name, value): + self._state.get()[name] = value + + def __getattr__(self, name): + value = self._state.get()[name] + return value + + +class CustomReconnectMixin(ReconnectMixin): + reconnect_errors = ( + # psycopg2 + (OperationalError, "termin"), + (InterfaceError, "closed"), + # peewee + (PeeWeeInterfaceError, "closed"), + ) + + +class ReconnectingPostgresqlDatabase(CustomReconnectMixin, PostgresqlDatabase): + pass + + +def register_connection(db_url): + db = connect(db_url, unquote_password=True) + if isinstance(db, PostgresqlDatabase): + # Enable autoconnect for SQLite databases, managed by Peewee + db.autoconnect = True + db.reuse_if_open = True + log.info("Connected to PostgreSQL database") + + # Get the connection details + connection = parse(db_url, unquote_password=True) + + # Use our custom database class that supports reconnection + db = ReconnectingPostgresqlDatabase(**connection) + db.connect(reuse_if_open=True) + elif isinstance(db, SqliteDatabase): + # Enable autoconnect for SQLite databases, managed by Peewee + db.autoconnect = True + db.reuse_if_open = True + log.info("Connected to SQLite database") + else: + raise ValueError("Unsupported database connection") + return db diff --git a/backend/open_webui/apps/webui/main.py b/backend/open_webui/apps/webui/main.py new file mode 100644 index 0000000000000000000000000000000000000000..b32c83f88ca579abf0b2a4cbef7b47d4a8611e8e --- /dev/null +++ b/backend/open_webui/apps/webui/main.py @@ -0,0 +1,458 @@ +import inspect +import json +import logging +import time +from typing import AsyncGenerator, Generator, Iterator + +from open_webui.apps.socket.main import get_event_call, get_event_emitter +from open_webui.apps.webui.models.functions import Functions +from open_webui.apps.webui.models.models import Models +from open_webui.apps.webui.routers import ( + auths, + chats, + folders, + configs, + files, + functions, + memories, + models, + knowledge, + prompts, + evaluations, + tools, + users, + utils, +) +from open_webui.apps.webui.utils import load_function_module_by_id +from open_webui.config import ( + ADMIN_EMAIL, + CORS_ALLOW_ORIGIN, + DEFAULT_MODELS, + DEFAULT_PROMPT_SUGGESTIONS, + DEFAULT_USER_ROLE, + ENABLE_COMMUNITY_SHARING, + ENABLE_LOGIN_FORM, + ENABLE_MESSAGE_RATING, + ENABLE_SIGNUP, + ENABLE_EVALUATION_ARENA_MODELS, + EVALUATION_ARENA_MODELS, + DEFAULT_ARENA_MODEL, + JWT_EXPIRES_IN, + ENABLE_OAUTH_ROLE_MANAGEMENT, + OAUTH_ROLES_CLAIM, + OAUTH_EMAIL_CLAIM, + OAUTH_PICTURE_CLAIM, + OAUTH_USERNAME_CLAIM, + OAUTH_ALLOWED_ROLES, + OAUTH_ADMIN_ROLES, + SHOW_ADMIN_DETAILS, + USER_PERMISSIONS, + WEBHOOK_URL, + WEBUI_AUTH, + WEBUI_BANNERS, + AppConfig, +) +from open_webui.env import ( + ENV, + WEBUI_AUTH_TRUSTED_EMAIL_HEADER, + WEBUI_AUTH_TRUSTED_NAME_HEADER, +) +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import StreamingResponse +from pydantic import BaseModel +from open_webui.utils.misc import ( + openai_chat_chunk_message_template, + openai_chat_completion_message_template, +) +from open_webui.utils.payload import ( + apply_model_params_to_body_openai, + apply_model_system_prompt_to_body, +) + + +from open_webui.utils.tools import get_tools + +app = FastAPI(docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None) + +log = logging.getLogger(__name__) + +app.state.config = AppConfig() + +app.state.config.ENABLE_SIGNUP = ENABLE_SIGNUP +app.state.config.ENABLE_LOGIN_FORM = ENABLE_LOGIN_FORM +app.state.config.JWT_EXPIRES_IN = JWT_EXPIRES_IN +app.state.AUTH_TRUSTED_EMAIL_HEADER = WEBUI_AUTH_TRUSTED_EMAIL_HEADER +app.state.AUTH_TRUSTED_NAME_HEADER = WEBUI_AUTH_TRUSTED_NAME_HEADER + + +app.state.config.SHOW_ADMIN_DETAILS = SHOW_ADMIN_DETAILS +app.state.config.ADMIN_EMAIL = ADMIN_EMAIL + + +app.state.config.DEFAULT_MODELS = DEFAULT_MODELS +app.state.config.DEFAULT_PROMPT_SUGGESTIONS = DEFAULT_PROMPT_SUGGESTIONS +app.state.config.DEFAULT_USER_ROLE = DEFAULT_USER_ROLE +app.state.config.USER_PERMISSIONS = USER_PERMISSIONS +app.state.config.WEBHOOK_URL = WEBHOOK_URL +app.state.config.BANNERS = WEBUI_BANNERS + +app.state.config.ENABLE_COMMUNITY_SHARING = ENABLE_COMMUNITY_SHARING +app.state.config.ENABLE_MESSAGE_RATING = ENABLE_MESSAGE_RATING + +app.state.config.ENABLE_EVALUATION_ARENA_MODELS = ENABLE_EVALUATION_ARENA_MODELS +app.state.config.EVALUATION_ARENA_MODELS = EVALUATION_ARENA_MODELS + +app.state.config.OAUTH_USERNAME_CLAIM = OAUTH_USERNAME_CLAIM +app.state.config.OAUTH_PICTURE_CLAIM = OAUTH_PICTURE_CLAIM +app.state.config.OAUTH_EMAIL_CLAIM = OAUTH_EMAIL_CLAIM + +app.state.config.ENABLE_OAUTH_ROLE_MANAGEMENT = ENABLE_OAUTH_ROLE_MANAGEMENT +app.state.config.OAUTH_ROLES_CLAIM = OAUTH_ROLES_CLAIM +app.state.config.OAUTH_ALLOWED_ROLES = OAUTH_ALLOWED_ROLES +app.state.config.OAUTH_ADMIN_ROLES = OAUTH_ADMIN_ROLES + +app.state.MODELS = {} +app.state.TOOLS = {} +app.state.FUNCTIONS = {} + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +app.include_router(configs.router, prefix="/configs", tags=["configs"]) + +app.include_router(auths.router, prefix="/auths", tags=["auths"]) +app.include_router(users.router, prefix="/users", tags=["users"]) + +app.include_router(chats.router, prefix="/chats", tags=["chats"]) + +app.include_router(models.router, prefix="/models", tags=["models"]) +app.include_router(knowledge.router, prefix="/knowledge", tags=["knowledge"]) +app.include_router(prompts.router, prefix="/prompts", tags=["prompts"]) +app.include_router(tools.router, prefix="/tools", tags=["tools"]) +app.include_router(functions.router, prefix="/functions", tags=["functions"]) + +app.include_router(memories.router, prefix="/memories", tags=["memories"]) +app.include_router(evaluations.router, prefix="/evaluations", tags=["evaluations"]) + +app.include_router(folders.router, prefix="/folders", tags=["folders"]) +app.include_router(files.router, prefix="/files", tags=["files"]) + +app.include_router(utils.router, prefix="/utils", tags=["utils"]) + + +@app.get("/") +async def get_status(): + return { + "status": True, + "auth": WEBUI_AUTH, + "default_models": app.state.config.DEFAULT_MODELS, + "default_prompt_suggestions": app.state.config.DEFAULT_PROMPT_SUGGESTIONS, + } + + +async def get_all_models(): + models = [] + pipe_models = await get_pipe_models() + models = models + pipe_models + + if app.state.config.ENABLE_EVALUATION_ARENA_MODELS: + arena_models = [] + if len(app.state.config.EVALUATION_ARENA_MODELS) > 0: + arena_models = [ + { + "id": model["id"], + "name": model["name"], + "info": { + "meta": model["meta"], + }, + "object": "model", + "created": int(time.time()), + "owned_by": "arena", + "arena": True, + } + for model in app.state.config.EVALUATION_ARENA_MODELS + ] + else: + # Add default arena model + arena_models = [ + { + "id": DEFAULT_ARENA_MODEL["id"], + "name": DEFAULT_ARENA_MODEL["name"], + "info": { + "meta": DEFAULT_ARENA_MODEL["meta"], + }, + "object": "model", + "created": int(time.time()), + "owned_by": "arena", + "arena": True, + } + ] + models = models + arena_models + return models + + +def get_function_module(pipe_id: str): + # Check if function is already loaded + if pipe_id not in app.state.FUNCTIONS: + function_module, _, _ = load_function_module_by_id(pipe_id) + app.state.FUNCTIONS[pipe_id] = function_module + else: + function_module = app.state.FUNCTIONS[pipe_id] + + if hasattr(function_module, "valves") and hasattr(function_module, "Valves"): + valves = Functions.get_function_valves_by_id(pipe_id) + function_module.valves = function_module.Valves(**(valves if valves else {})) + return function_module + + +async def get_pipe_models(): + pipes = Functions.get_functions_by_type("pipe", active_only=True) + pipe_models = [] + + for pipe in pipes: + function_module = get_function_module(pipe.id) + + # Check if function is a manifold + if hasattr(function_module, "pipes"): + sub_pipes = [] + + # Check if pipes is a function or a list + + try: + if callable(function_module.pipes): + sub_pipes = function_module.pipes() + else: + sub_pipes = function_module.pipes + except Exception as e: + log.exception(e) + sub_pipes = [] + + print(sub_pipes) + + for p in sub_pipes: + sub_pipe_id = f'{pipe.id}.{p["id"]}' + sub_pipe_name = p["name"] + + if hasattr(function_module, "name"): + sub_pipe_name = f"{function_module.name}{sub_pipe_name}" + + pipe_flag = {"type": pipe.type} + pipe_models.append( + { + "id": sub_pipe_id, + "name": sub_pipe_name, + "object": "model", + "created": pipe.created_at, + "owned_by": "openai", + "pipe": pipe_flag, + } + ) + else: + pipe_flag = {"type": "pipe"} + + pipe_models.append( + { + "id": pipe.id, + "name": pipe.name, + "object": "model", + "created": pipe.created_at, + "owned_by": "openai", + "pipe": pipe_flag, + } + ) + + return pipe_models + + +async def execute_pipe(pipe, params): + if inspect.iscoroutinefunction(pipe): + return await pipe(**params) + else: + return pipe(**params) + + +async def get_message_content(res: str | Generator | AsyncGenerator) -> str: + if isinstance(res, str): + return res + if isinstance(res, Generator): + return "".join(map(str, res)) + if isinstance(res, AsyncGenerator): + return "".join([str(stream) async for stream in res]) + + +def process_line(form_data: dict, line): + if isinstance(line, BaseModel): + line = line.model_dump_json() + line = f"data: {line}" + if isinstance(line, dict): + line = f"data: {json.dumps(line)}" + + try: + line = line.decode("utf-8") + except Exception: + pass + + if line.startswith("data:"): + return f"{line}\n\n" + else: + line = openai_chat_chunk_message_template(form_data["model"], line) + return f"data: {json.dumps(line)}\n\n" + + +def get_pipe_id(form_data: dict) -> str: + pipe_id = form_data["model"] + if "." in pipe_id: + pipe_id, _ = pipe_id.split(".", 1) + print(pipe_id) + return pipe_id + + +def get_function_params(function_module, form_data, user, extra_params=None): + if extra_params is None: + extra_params = {} + + pipe_id = get_pipe_id(form_data) + + # Get the signature of the function + sig = inspect.signature(function_module.pipe) + params = {"body": form_data} | { + k: v for k, v in extra_params.items() if k in sig.parameters + } + + if "__user__" in params and hasattr(function_module, "UserValves"): + user_valves = Functions.get_user_valves_by_id_and_user_id(pipe_id, user.id) + try: + params["__user__"]["valves"] = function_module.UserValves(**user_valves) + except Exception as e: + log.exception(e) + params["__user__"]["valves"] = function_module.UserValves() + + return params + + +async def generate_function_chat_completion(form_data, user): + model_id = form_data.get("model") + model_info = Models.get_model_by_id(model_id) + + metadata = form_data.pop("metadata", {}) + + files = metadata.get("files", []) + tool_ids = metadata.get("tool_ids", []) + # Check if tool_ids is None + if tool_ids is None: + tool_ids = [] + + __event_emitter__ = None + __event_call__ = None + __task__ = None + __task_body__ = None + + if metadata: + if all(k in metadata for k in ("session_id", "chat_id", "message_id")): + __event_emitter__ = get_event_emitter(metadata) + __event_call__ = get_event_call(metadata) + __task__ = metadata.get("task", None) + __task_body__ = metadata.get("task_body", None) + + extra_params = { + "__event_emitter__": __event_emitter__, + "__event_call__": __event_call__, + "__task__": __task__, + "__task_body__": __task_body__, + "__files__": files, + "__user__": { + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + }, + } + extra_params["__tools__"] = get_tools( + app, + tool_ids, + user, + { + **extra_params, + "__model__": app.state.MODELS[form_data["model"]], + "__messages__": form_data["messages"], + "__files__": files, + }, + ) + + if model_info: + if model_info.base_model_id: + form_data["model"] = model_info.base_model_id + + params = model_info.params.model_dump() + form_data = apply_model_params_to_body_openai(params, form_data) + form_data = apply_model_system_prompt_to_body(params, form_data, user) + + pipe_id = get_pipe_id(form_data) + function_module = get_function_module(pipe_id) + + pipe = function_module.pipe + params = get_function_params(function_module, form_data, user, extra_params) + + if form_data.get("stream", False): + + async def stream_content(): + try: + res = await execute_pipe(pipe, params) + + # Directly return if the response is a StreamingResponse + if isinstance(res, StreamingResponse): + async for data in res.body_iterator: + yield data + return + if isinstance(res, dict): + yield f"data: {json.dumps(res)}\n\n" + return + + except Exception as e: + print(f"Error: {e}") + yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n" + return + + if isinstance(res, str): + message = openai_chat_chunk_message_template(form_data["model"], res) + yield f"data: {json.dumps(message)}\n\n" + + if isinstance(res, Iterator): + for line in res: + yield process_line(form_data, line) + + if isinstance(res, AsyncGenerator): + async for line in res: + yield process_line(form_data, line) + + if isinstance(res, str) or isinstance(res, Generator): + finish_message = openai_chat_chunk_message_template( + form_data["model"], "" + ) + finish_message["choices"][0]["finish_reason"] = "stop" + yield f"data: {json.dumps(finish_message)}\n\n" + yield "data: [DONE]" + + return StreamingResponse(stream_content(), media_type="text/event-stream") + else: + try: + res = await execute_pipe(pipe, params) + + except Exception as e: + print(f"Error: {e}") + return {"error": {"detail": str(e)}} + + if isinstance(res, StreamingResponse) or isinstance(res, dict): + return res + if isinstance(res, BaseModel): + return res.model_dump() + + message = await get_message_content(res) + return openai_chat_completion_message_template(form_data["model"], message) diff --git a/backend/open_webui/apps/webui/models/auths.py b/backend/open_webui/apps/webui/models/auths.py new file mode 100644 index 0000000000000000000000000000000000000000..167b9f6dcb17abf173f8fc82b755bbe18f42d45f --- /dev/null +++ b/backend/open_webui/apps/webui/models/auths.py @@ -0,0 +1,201 @@ +import logging +import uuid +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.apps.webui.models.users import UserModel, Users +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel +from sqlalchemy import Boolean, Column, String, Text +from open_webui.utils.utils import verify_password + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +#################### +# DB MODEL +#################### + + +class Auth(Base): + __tablename__ = "auth" + + id = Column(String, primary_key=True) + email = Column(String) + password = Column(Text) + active = Column(Boolean) + + +class AuthModel(BaseModel): + id: str + email: str + password: str + active: bool = True + + +#################### +# Forms +#################### + + +class Token(BaseModel): + token: str + token_type: str + + +class ApiKey(BaseModel): + api_key: Optional[str] = None + + +class UserResponse(BaseModel): + id: str + email: str + name: str + role: str + profile_image_url: str + + +class SigninResponse(Token, UserResponse): + pass + + +class SigninForm(BaseModel): + email: str + password: str + + +class ProfileImageUrlForm(BaseModel): + profile_image_url: str + + +class UpdateProfileForm(BaseModel): + profile_image_url: str + name: str + + +class UpdatePasswordForm(BaseModel): + password: str + new_password: str + + +class SignupForm(BaseModel): + name: str + email: str + password: str + profile_image_url: Optional[str] = "/user.png" + + +class AddUserForm(SignupForm): + role: Optional[str] = "pending" + + +class AuthsTable: + def insert_new_auth( + self, + email: str, + password: str, + name: str, + profile_image_url: str = "/user.png", + role: str = "pending", + oauth_sub: Optional[str] = None, + ) -> Optional[UserModel]: + with get_db() as db: + log.info("insert_new_auth") + + id = str(uuid.uuid4()) + + auth = AuthModel( + **{"id": id, "email": email, "password": password, "active": True} + ) + result = Auth(**auth.model_dump()) + db.add(result) + + user = Users.insert_new_user( + id, name, email, profile_image_url, role, oauth_sub + ) + + db.commit() + db.refresh(result) + + if result and user: + return user + else: + return None + + def authenticate_user(self, email: str, password: str) -> Optional[UserModel]: + log.info(f"authenticate_user: {email}") + try: + with get_db() as db: + auth = db.query(Auth).filter_by(email=email, active=True).first() + if auth: + if verify_password(password, auth.password): + user = Users.get_user_by_id(auth.id) + return user + else: + return None + else: + return None + except Exception: + return None + + def authenticate_user_by_api_key(self, api_key: str) -> Optional[UserModel]: + log.info(f"authenticate_user_by_api_key: {api_key}") + # if no api_key, return None + if not api_key: + return None + + try: + user = Users.get_user_by_api_key(api_key) + return user if user else None + except Exception: + return False + + def authenticate_user_by_trusted_header(self, email: str) -> Optional[UserModel]: + log.info(f"authenticate_user_by_trusted_header: {email}") + try: + with get_db() as db: + auth = db.query(Auth).filter_by(email=email, active=True).first() + if auth: + user = Users.get_user_by_id(auth.id) + return user + except Exception: + return None + + def update_user_password_by_id(self, id: str, new_password: str) -> bool: + try: + with get_db() as db: + result = ( + db.query(Auth).filter_by(id=id).update({"password": new_password}) + ) + db.commit() + return True if result == 1 else False + except Exception: + return False + + def update_email_by_id(self, id: str, email: str) -> bool: + try: + with get_db() as db: + result = db.query(Auth).filter_by(id=id).update({"email": email}) + db.commit() + return True if result == 1 else False + except Exception: + return False + + def delete_auth_by_id(self, id: str) -> bool: + try: + with get_db() as db: + # Delete User + result = Users.delete_user_by_id(id) + + if result: + db.query(Auth).filter_by(id=id).delete() + db.commit() + + return True + else: + return False + except Exception: + return False + + +Auths = AuthsTable() diff --git a/backend/open_webui/apps/webui/models/chats.py b/backend/open_webui/apps/webui/models/chats.py new file mode 100644 index 0000000000000000000000000000000000000000..f6a1e45483cf4d8d45914a28b0448a7a0cdef299 --- /dev/null +++ b/backend/open_webui/apps/webui/models/chats.py @@ -0,0 +1,805 @@ +import json +import time +import uuid +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.apps.webui.models.tags import TagModel, Tag, Tags + + +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Boolean, Column, String, Text, JSON +from sqlalchemy import or_, func, select, and_, text +from sqlalchemy.sql import exists + +#################### +# Chat DB Schema +#################### + + +class Chat(Base): + __tablename__ = "chat" + + id = Column(String, primary_key=True) + user_id = Column(String) + title = Column(Text) + chat = Column(JSON) + + created_at = Column(BigInteger) + updated_at = Column(BigInteger) + + share_id = Column(Text, unique=True, nullable=True) + archived = Column(Boolean, default=False) + pinned = Column(Boolean, default=False, nullable=True) + + meta = Column(JSON, server_default="{}") + folder_id = Column(Text, nullable=True) + + +class ChatModel(BaseModel): + model_config = ConfigDict(from_attributes=True) + + id: str + user_id: str + title: str + chat: dict + + created_at: int # timestamp in epoch + updated_at: int # timestamp in epoch + + share_id: Optional[str] = None + archived: bool = False + pinned: Optional[bool] = False + + meta: dict = {} + folder_id: Optional[str] = None + + +#################### +# Forms +#################### + + +class ChatForm(BaseModel): + chat: dict + + +class ChatImportForm(ChatForm): + meta: Optional[dict] = {} + pinned: Optional[bool] = False + folder_id: Optional[str] = None + + +class ChatTitleMessagesForm(BaseModel): + title: str + messages: list[dict] + + +class ChatTitleForm(BaseModel): + title: str + + +class ChatResponse(BaseModel): + id: str + user_id: str + title: str + chat: dict + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + share_id: Optional[str] = None # id of the chat to be shared + archived: bool + pinned: Optional[bool] = False + meta: dict = {} + folder_id: Optional[str] = None + + +class ChatTitleIdResponse(BaseModel): + id: str + title: str + updated_at: int + created_at: int + + +class ChatTable: + def insert_new_chat(self, user_id: str, form_data: ChatForm) -> Optional[ChatModel]: + with get_db() as db: + id = str(uuid.uuid4()) + chat = ChatModel( + **{ + "id": id, + "user_id": user_id, + "title": ( + form_data.chat["title"] + if "title" in form_data.chat + else "New Chat" + ), + "chat": form_data.chat, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + + result = Chat(**chat.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + return ChatModel.model_validate(result) if result else None + + def import_chat( + self, user_id: str, form_data: ChatImportForm + ) -> Optional[ChatModel]: + with get_db() as db: + id = str(uuid.uuid4()) + chat = ChatModel( + **{ + "id": id, + "user_id": user_id, + "title": ( + form_data.chat["title"] + if "title" in form_data.chat + else "New Chat" + ), + "chat": form_data.chat, + "meta": form_data.meta, + "pinned": form_data.pinned, + "folder_id": form_data.folder_id, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + + result = Chat(**chat.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + return ChatModel.model_validate(result) if result else None + + def update_chat_by_id(self, id: str, chat: dict) -> Optional[ChatModel]: + try: + with get_db() as db: + chat_item = db.get(Chat, id) + chat_item.chat = chat + chat_item.title = chat["title"] if "title" in chat else "New Chat" + chat_item.updated_at = int(time.time()) + db.commit() + db.refresh(chat_item) + + return ChatModel.model_validate(chat_item) + except Exception: + return None + + def insert_shared_chat_by_chat_id(self, chat_id: str) -> Optional[ChatModel]: + with get_db() as db: + # Get the existing chat to share + chat = db.get(Chat, chat_id) + # Check if the chat is already shared + if chat.share_id: + return self.get_chat_by_id_and_user_id(chat.share_id, "shared") + # Create a new chat with the same data, but with a new ID + shared_chat = ChatModel( + **{ + "id": str(uuid.uuid4()), + "user_id": f"shared-{chat_id}", + "title": chat.title, + "chat": chat.chat, + "created_at": chat.created_at, + "updated_at": int(time.time()), + } + ) + shared_result = Chat(**shared_chat.model_dump()) + db.add(shared_result) + db.commit() + db.refresh(shared_result) + + # Update the original chat with the share_id + result = ( + db.query(Chat) + .filter_by(id=chat_id) + .update({"share_id": shared_chat.id}) + ) + db.commit() + return shared_chat if (shared_result and result) else None + + def update_shared_chat_by_chat_id(self, chat_id: str) -> Optional[ChatModel]: + try: + with get_db() as db: + print("update_shared_chat_by_id") + chat = db.get(Chat, chat_id) + print(chat) + chat.title = chat.title + chat.chat = chat.chat + db.commit() + db.refresh(chat) + + return self.get_chat_by_id(chat.share_id) + except Exception: + return None + + def delete_shared_chat_by_chat_id(self, chat_id: str) -> bool: + try: + with get_db() as db: + db.query(Chat).filter_by(user_id=f"shared-{chat_id}").delete() + db.commit() + + return True + except Exception: + return False + + def update_chat_share_id_by_id( + self, id: str, share_id: Optional[str] + ) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.get(Chat, id) + chat.share_id = share_id + db.commit() + db.refresh(chat) + return ChatModel.model_validate(chat) + except Exception: + return None + + def toggle_chat_pinned_by_id(self, id: str) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.get(Chat, id) + chat.pinned = not chat.pinned + chat.updated_at = int(time.time()) + db.commit() + db.refresh(chat) + return ChatModel.model_validate(chat) + except Exception: + return None + + def toggle_chat_archive_by_id(self, id: str) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.get(Chat, id) + chat.archived = not chat.archived + chat.updated_at = int(time.time()) + db.commit() + db.refresh(chat) + return ChatModel.model_validate(chat) + except Exception: + return None + + def archive_all_chats_by_user_id(self, user_id: str) -> bool: + try: + with get_db() as db: + db.query(Chat).filter_by(user_id=user_id).update({"archived": True}) + db.commit() + return True + except Exception: + return False + + def get_archived_chat_list_by_user_id( + self, user_id: str, skip: int = 0, limit: int = 50 + ) -> list[ChatModel]: + with get_db() as db: + all_chats = ( + db.query(Chat) + .filter_by(user_id=user_id, archived=True) + .order_by(Chat.updated_at.desc()) + # .limit(limit).offset(skip) + .all() + ) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chat_list_by_user_id( + self, + user_id: str, + include_archived: bool = False, + skip: int = 0, + limit: int = 50, + ) -> list[ChatModel]: + with get_db() as db: + query = db.query(Chat).filter_by(user_id=user_id).filter_by(folder_id=None) + if not include_archived: + query = query.filter_by(archived=False) + + query = query.order_by(Chat.updated_at.desc()) + + if skip: + query = query.offset(skip) + if limit: + query = query.limit(limit) + + all_chats = query.all() + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chat_title_id_list_by_user_id( + self, + user_id: str, + include_archived: bool = False, + skip: Optional[int] = None, + limit: Optional[int] = None, + ) -> list[ChatTitleIdResponse]: + with get_db() as db: + query = db.query(Chat).filter_by(user_id=user_id).filter_by(folder_id=None) + query = query.filter(or_(Chat.pinned == False, Chat.pinned == None)) + + if not include_archived: + query = query.filter_by(archived=False) + + query = query.order_by(Chat.updated_at.desc()).with_entities( + Chat.id, Chat.title, Chat.updated_at, Chat.created_at + ) + + if skip: + query = query.offset(skip) + if limit: + query = query.limit(limit) + + all_chats = query.all() + + # result has to be destrctured from sqlalchemy `row` and mapped to a dict since the `ChatModel`is not the returned dataclass. + return [ + ChatTitleIdResponse.model_validate( + { + "id": chat[0], + "title": chat[1], + "updated_at": chat[2], + "created_at": chat[3], + } + ) + for chat in all_chats + ] + + def get_chat_list_by_chat_ids( + self, chat_ids: list[str], skip: int = 0, limit: int = 50 + ) -> list[ChatModel]: + with get_db() as db: + all_chats = ( + db.query(Chat) + .filter(Chat.id.in_(chat_ids)) + .filter_by(archived=False) + .order_by(Chat.updated_at.desc()) + .all() + ) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chat_by_id(self, id: str) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.get(Chat, id) + return ChatModel.model_validate(chat) + except Exception: + return None + + def get_chat_by_share_id(self, id: str) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.query(Chat).filter_by(share_id=id).first() + + if chat: + return self.get_chat_by_id(id) + else: + return None + except Exception: + return None + + def get_chat_by_id_and_user_id(self, id: str, user_id: str) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.query(Chat).filter_by(id=id, user_id=user_id).first() + return ChatModel.model_validate(chat) + except Exception: + return None + + def get_chats(self, skip: int = 0, limit: int = 50) -> list[ChatModel]: + with get_db() as db: + all_chats = ( + db.query(Chat) + # .limit(limit).offset(skip) + .order_by(Chat.updated_at.desc()) + ) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chats_by_user_id(self, user_id: str) -> list[ChatModel]: + with get_db() as db: + all_chats = ( + db.query(Chat) + .filter_by(user_id=user_id) + .order_by(Chat.updated_at.desc()) + ) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_pinned_chats_by_user_id(self, user_id: str) -> list[ChatModel]: + with get_db() as db: + all_chats = ( + db.query(Chat) + .filter_by(user_id=user_id, pinned=True, archived=False) + .order_by(Chat.updated_at.desc()) + ) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_archived_chats_by_user_id(self, user_id: str) -> list[ChatModel]: + with get_db() as db: + all_chats = ( + db.query(Chat) + .filter_by(user_id=user_id, archived=True) + .order_by(Chat.updated_at.desc()) + ) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chats_by_user_id_and_search_text( + self, + user_id: str, + search_text: str, + include_archived: bool = False, + skip: int = 0, + limit: int = 60, + ) -> list[ChatModel]: + """ + Filters chats based on a search query using Python, allowing pagination using skip and limit. + """ + search_text = search_text.lower().strip() + + if not search_text: + return self.get_chat_list_by_user_id(user_id, include_archived, skip, limit) + + search_text_words = search_text.split(" ") + + # search_text might contain 'tag:tag_name' format so we need to extract the tag_name, split the search_text and remove the tags + tag_ids = [ + word.replace("tag:", "").replace(" ", "_").lower() + for word in search_text_words + if word.startswith("tag:") + ] + + search_text_words = [ + word for word in search_text_words if not word.startswith("tag:") + ] + + search_text = " ".join(search_text_words) + + with get_db() as db: + query = db.query(Chat).filter(Chat.user_id == user_id) + + if not include_archived: + query = query.filter(Chat.archived == False) + + query = query.order_by(Chat.updated_at.desc()) + + # Check if the database dialect is either 'sqlite' or 'postgresql' + dialect_name = db.bind.dialect.name + if dialect_name == "sqlite": + # SQLite case: using JSON1 extension for JSON searching + query = query.filter( + ( + Chat.title.ilike( + f"%{search_text}%" + ) # Case-insensitive search in title + | text( + """ + EXISTS ( + SELECT 1 + FROM json_each(Chat.chat, '$.messages') AS message + WHERE LOWER(message.value->>'content') LIKE '%' || :search_text || '%' + ) + """ + ) + ).params(search_text=search_text) + ) + + # Check if there are any tags to filter, it should have all the tags + if "none" in tag_ids: + query = query.filter( + text( + """ + NOT EXISTS ( + SELECT 1 + FROM json_each(Chat.meta, '$.tags') AS tag + ) + """ + ) + ) + elif tag_ids: + query = query.filter( + and_( + *[ + text( + f""" + EXISTS ( + SELECT 1 + FROM json_each(Chat.meta, '$.tags') AS tag + WHERE tag.value = :tag_id_{tag_idx} + ) + """ + ).params(**{f"tag_id_{tag_idx}": tag_id}) + for tag_idx, tag_id in enumerate(tag_ids) + ] + ) + ) + + elif dialect_name == "postgresql": + # PostgreSQL relies on proper JSON query for search + query = query.filter( + ( + Chat.title.ilike( + f"%{search_text}%" + ) # Case-insensitive search in title + | text( + """ + EXISTS ( + SELECT 1 + FROM json_array_elements(Chat.chat->'messages') AS message + WHERE LOWER(message->>'content') LIKE '%' || :search_text || '%' + ) + """ + ) + ).params(search_text=search_text) + ) + + # Check if there are any tags to filter, it should have all the tags + if "none" in tag_ids: + query = query.filter( + text( + """ + NOT EXISTS ( + SELECT 1 + FROM json_array_elements_text(Chat.meta->'tags') AS tag + ) + """ + ) + ) + elif tag_ids: + query = query.filter( + and_( + *[ + text( + f""" + EXISTS ( + SELECT 1 + FROM json_array_elements_text(Chat.meta->'tags') AS tag + WHERE tag = :tag_id_{tag_idx} + ) + """ + ).params(**{f"tag_id_{tag_idx}": tag_id}) + for tag_idx, tag_id in enumerate(tag_ids) + ] + ) + ) + else: + raise NotImplementedError( + f"Unsupported dialect: {db.bind.dialect.name}" + ) + + # Perform pagination at the SQL level + all_chats = query.offset(skip).limit(limit).all() + + print(len(all_chats)) + + # Validate and return chats + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chats_by_folder_id_and_user_id( + self, folder_id: str, user_id: str + ) -> list[ChatModel]: + with get_db() as db: + query = db.query(Chat).filter_by(folder_id=folder_id, user_id=user_id) + query = query.filter(or_(Chat.pinned == False, Chat.pinned == None)) + query = query.filter_by(archived=False) + + query = query.order_by(Chat.updated_at.desc()) + + all_chats = query.all() + return [ChatModel.model_validate(chat) for chat in all_chats] + + def get_chats_by_folder_ids_and_user_id( + self, folder_ids: list[str], user_id: str + ) -> list[ChatModel]: + with get_db() as db: + query = db.query(Chat).filter( + Chat.folder_id.in_(folder_ids), Chat.user_id == user_id + ) + query = query.filter(or_(Chat.pinned == False, Chat.pinned == None)) + query = query.filter_by(archived=False) + + query = query.order_by(Chat.updated_at.desc()) + + all_chats = query.all() + return [ChatModel.model_validate(chat) for chat in all_chats] + + def update_chat_folder_id_by_id_and_user_id( + self, id: str, user_id: str, folder_id: str + ) -> Optional[ChatModel]: + try: + with get_db() as db: + chat = db.get(Chat, id) + chat.folder_id = folder_id + chat.updated_at = int(time.time()) + chat.pinned = False + db.commit() + db.refresh(chat) + return ChatModel.model_validate(chat) + except Exception: + return None + + def get_chat_tags_by_id_and_user_id(self, id: str, user_id: str) -> list[TagModel]: + with get_db() as db: + chat = db.get(Chat, id) + tags = chat.meta.get("tags", []) + return [Tags.get_tag_by_name_and_user_id(tag, user_id) for tag in tags] + + def get_chat_list_by_user_id_and_tag_name( + self, user_id: str, tag_name: str, skip: int = 0, limit: int = 50 + ) -> list[ChatModel]: + with get_db() as db: + query = db.query(Chat).filter_by(user_id=user_id) + tag_id = tag_name.replace(" ", "_").lower() + + print(db.bind.dialect.name) + if db.bind.dialect.name == "sqlite": + # SQLite JSON1 querying for tags within the meta JSON field + query = query.filter( + text( + f"EXISTS (SELECT 1 FROM json_each(Chat.meta, '$.tags') WHERE json_each.value = :tag_id)" + ) + ).params(tag_id=tag_id) + elif db.bind.dialect.name == "postgresql": + # PostgreSQL JSON query for tags within the meta JSON field (for `json` type) + query = query.filter( + text( + "EXISTS (SELECT 1 FROM json_array_elements_text(Chat.meta->'tags') elem WHERE elem = :tag_id)" + ) + ).params(tag_id=tag_id) + else: + raise NotImplementedError( + f"Unsupported dialect: {db.bind.dialect.name}" + ) + + all_chats = query.all() + print("all_chats", all_chats) + return [ChatModel.model_validate(chat) for chat in all_chats] + + def add_chat_tag_by_id_and_user_id_and_tag_name( + self, id: str, user_id: str, tag_name: str + ) -> Optional[ChatModel]: + tag = Tags.get_tag_by_name_and_user_id(tag_name, user_id) + if tag is None: + tag = Tags.insert_new_tag(tag_name, user_id) + try: + with get_db() as db: + chat = db.get(Chat, id) + + tag_id = tag.id + if tag_id not in chat.meta.get("tags", []): + chat.meta = { + **chat.meta, + "tags": list(set(chat.meta.get("tags", []) + [tag_id])), + } + + db.commit() + db.refresh(chat) + return ChatModel.model_validate(chat) + except Exception: + return None + + def count_chats_by_tag_name_and_user_id(self, tag_name: str, user_id: str) -> int: + with get_db() as db: # Assuming `get_db()` returns a session object + query = db.query(Chat).filter_by(user_id=user_id, archived=False) + + # Normalize the tag_name for consistency + tag_id = tag_name.replace(" ", "_").lower() + + if db.bind.dialect.name == "sqlite": + # SQLite JSON1 support for querying the tags inside the `meta` JSON field + query = query.filter( + text( + f"EXISTS (SELECT 1 FROM json_each(Chat.meta, '$.tags') WHERE json_each.value = :tag_id)" + ) + ).params(tag_id=tag_id) + + elif db.bind.dialect.name == "postgresql": + # PostgreSQL JSONB support for querying the tags inside the `meta` JSON field + query = query.filter( + text( + "EXISTS (SELECT 1 FROM json_array_elements_text(Chat.meta->'tags') elem WHERE elem = :tag_id)" + ) + ).params(tag_id=tag_id) + + else: + raise NotImplementedError( + f"Unsupported dialect: {db.bind.dialect.name}" + ) + + # Get the count of matching records + count = query.count() + + # Debugging output for inspection + print(f"Count of chats for tag '{tag_name}':", count) + + return count + + def delete_tag_by_id_and_user_id_and_tag_name( + self, id: str, user_id: str, tag_name: str + ) -> bool: + try: + with get_db() as db: + chat = db.get(Chat, id) + tags = chat.meta.get("tags", []) + tag_id = tag_name.replace(" ", "_").lower() + + tags = [tag for tag in tags if tag != tag_id] + chat.meta = { + **chat.meta, + "tags": list(set(tags)), + } + db.commit() + return True + except Exception: + return False + + def delete_all_tags_by_id_and_user_id(self, id: str, user_id: str) -> bool: + try: + with get_db() as db: + chat = db.get(Chat, id) + chat.meta = { + **chat.meta, + "tags": [], + } + db.commit() + + return True + except Exception: + return False + + def delete_chat_by_id(self, id: str) -> bool: + try: + with get_db() as db: + db.query(Chat).filter_by(id=id).delete() + db.commit() + + return True and self.delete_shared_chat_by_chat_id(id) + except Exception: + return False + + def delete_chat_by_id_and_user_id(self, id: str, user_id: str) -> bool: + try: + with get_db() as db: + db.query(Chat).filter_by(id=id, user_id=user_id).delete() + db.commit() + + return True and self.delete_shared_chat_by_chat_id(id) + except Exception: + return False + + def delete_chats_by_user_id(self, user_id: str) -> bool: + try: + with get_db() as db: + self.delete_shared_chats_by_user_id(user_id) + + db.query(Chat).filter_by(user_id=user_id).delete() + db.commit() + + return True + except Exception: + return False + + def delete_chats_by_user_id_and_folder_id( + self, user_id: str, folder_id: str + ) -> bool: + try: + with get_db() as db: + db.query(Chat).filter_by(user_id=user_id, folder_id=folder_id).delete() + db.commit() + + return True + except Exception: + return False + + def delete_shared_chats_by_user_id(self, user_id: str) -> bool: + try: + with get_db() as db: + chats_by_user = db.query(Chat).filter_by(user_id=user_id).all() + shared_chat_ids = [f"shared-{chat.id}" for chat in chats_by_user] + + db.query(Chat).filter(Chat.user_id.in_(shared_chat_ids)).delete() + db.commit() + + return True + except Exception: + return False + + +Chats = ChatTable() diff --git a/backend/open_webui/apps/webui/models/documents.py b/backend/open_webui/apps/webui/models/documents.py new file mode 100644 index 0000000000000000000000000000000000000000..0b96c257442a52e1b65f7ddd12a84dc7baecb6eb --- /dev/null +++ b/backend/open_webui/apps/webui/models/documents.py @@ -0,0 +1,157 @@ +import json +import logging +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +#################### +# Documents DB Schema +#################### + + +class Document(Base): + __tablename__ = "document" + + collection_name = Column(String, primary_key=True) + name = Column(String, unique=True) + title = Column(Text) + filename = Column(Text) + content = Column(Text, nullable=True) + user_id = Column(String) + timestamp = Column(BigInteger) + + +class DocumentModel(BaseModel): + model_config = ConfigDict(from_attributes=True) + + collection_name: str + name: str + title: str + filename: str + content: Optional[str] = None + user_id: str + timestamp: int # timestamp in epoch + + +#################### +# Forms +#################### + + +class DocumentResponse(BaseModel): + collection_name: str + name: str + title: str + filename: str + content: Optional[dict] = None + user_id: str + timestamp: int # timestamp in epoch + + +class DocumentUpdateForm(BaseModel): + name: str + title: str + + +class DocumentForm(DocumentUpdateForm): + collection_name: str + filename: str + content: Optional[str] = None + + +class DocumentsTable: + def insert_new_doc( + self, user_id: str, form_data: DocumentForm + ) -> Optional[DocumentModel]: + with get_db() as db: + document = DocumentModel( + **{ + **form_data.model_dump(), + "user_id": user_id, + "timestamp": int(time.time()), + } + ) + + try: + result = Document(**document.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return DocumentModel.model_validate(result) + else: + return None + except Exception: + return None + + def get_doc_by_name(self, name: str) -> Optional[DocumentModel]: + try: + with get_db() as db: + document = db.query(Document).filter_by(name=name).first() + return DocumentModel.model_validate(document) if document else None + except Exception: + return None + + def get_docs(self) -> list[DocumentModel]: + with get_db() as db: + return [ + DocumentModel.model_validate(doc) for doc in db.query(Document).all() + ] + + def update_doc_by_name( + self, name: str, form_data: DocumentUpdateForm + ) -> Optional[DocumentModel]: + try: + with get_db() as db: + db.query(Document).filter_by(name=name).update( + { + "title": form_data.title, + "name": form_data.name, + "timestamp": int(time.time()), + } + ) + db.commit() + return self.get_doc_by_name(form_data.name) + except Exception as e: + log.exception(e) + return None + + def update_doc_content_by_name( + self, name: str, updated: dict + ) -> Optional[DocumentModel]: + try: + doc = self.get_doc_by_name(name) + doc_content = json.loads(doc.content if doc.content else "{}") + doc_content = {**doc_content, **updated} + + with get_db() as db: + db.query(Document).filter_by(name=name).update( + { + "content": json.dumps(doc_content), + "timestamp": int(time.time()), + } + ) + db.commit() + return self.get_doc_by_name(name) + except Exception as e: + log.exception(e) + return None + + def delete_doc_by_name(self, name: str) -> bool: + try: + with get_db() as db: + db.query(Document).filter_by(name=name).delete() + db.commit() + return True + except Exception: + return False + + +Documents = DocumentsTable() diff --git a/backend/open_webui/apps/webui/models/feedbacks.py b/backend/open_webui/apps/webui/models/feedbacks.py new file mode 100644 index 0000000000000000000000000000000000000000..c2356dfd86051d1b5713f891c6ec03bde05d0328 --- /dev/null +++ b/backend/open_webui/apps/webui/models/feedbacks.py @@ -0,0 +1,254 @@ +import logging +import time +import uuid +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.apps.webui.models.chats import Chats + +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, Text, JSON, Boolean + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + + +#################### +# Feedback DB Schema +#################### + + +class Feedback(Base): + __tablename__ = "feedback" + id = Column(Text, primary_key=True) + user_id = Column(Text) + version = Column(BigInteger, default=0) + type = Column(Text) + data = Column(JSON, nullable=True) + meta = Column(JSON, nullable=True) + snapshot = Column(JSON, nullable=True) + created_at = Column(BigInteger) + updated_at = Column(BigInteger) + + +class FeedbackModel(BaseModel): + id: str + user_id: str + version: int + type: str + data: Optional[dict] = None + meta: Optional[dict] = None + snapshot: Optional[dict] = None + created_at: int + updated_at: int + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class FeedbackResponse(BaseModel): + id: str + user_id: str + version: int + type: str + data: Optional[dict] = None + meta: Optional[dict] = None + created_at: int + updated_at: int + + +class RatingData(BaseModel): + rating: Optional[str | int] = None + model_id: Optional[str] = None + sibling_model_ids: Optional[list[str]] = None + reason: Optional[str] = None + comment: Optional[str] = None + model_config = ConfigDict(extra="allow", protected_namespaces=()) + + +class MetaData(BaseModel): + arena: Optional[bool] = None + chat_id: Optional[str] = None + message_id: Optional[str] = None + tags: Optional[list[str]] = None + model_config = ConfigDict(extra="allow") + + +class SnapshotData(BaseModel): + chat: Optional[dict] = None + model_config = ConfigDict(extra="allow") + + +class FeedbackForm(BaseModel): + type: str + data: Optional[RatingData] = None + meta: Optional[dict] = None + snapshot: Optional[SnapshotData] = None + model_config = ConfigDict(extra="allow") + + +class FeedbackTable: + def insert_new_feedback( + self, user_id: str, form_data: FeedbackForm + ) -> Optional[FeedbackModel]: + with get_db() as db: + id = str(uuid.uuid4()) + feedback = FeedbackModel( + **{ + "id": id, + "user_id": user_id, + "version": 0, + **form_data.model_dump(), + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + try: + result = Feedback(**feedback.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return FeedbackModel.model_validate(result) + else: + return None + except Exception as e: + print(e) + return None + + def get_feedback_by_id(self, id: str) -> Optional[FeedbackModel]: + try: + with get_db() as db: + feedback = db.query(Feedback).filter_by(id=id).first() + if not feedback: + return None + return FeedbackModel.model_validate(feedback) + except Exception: + return None + + def get_feedback_by_id_and_user_id( + self, id: str, user_id: str + ) -> Optional[FeedbackModel]: + try: + with get_db() as db: + feedback = db.query(Feedback).filter_by(id=id, user_id=user_id).first() + if not feedback: + return None + return FeedbackModel.model_validate(feedback) + except Exception: + return None + + def get_all_feedbacks(self) -> list[FeedbackModel]: + with get_db() as db: + return [ + FeedbackModel.model_validate(feedback) + for feedback in db.query(Feedback) + .order_by(Feedback.updated_at.desc()) + .all() + ] + + def get_feedbacks_by_type(self, type: str) -> list[FeedbackModel]: + with get_db() as db: + return [ + FeedbackModel.model_validate(feedback) + for feedback in db.query(Feedback) + .filter_by(type=type) + .order_by(Feedback.updated_at.desc()) + .all() + ] + + def get_feedbacks_by_user_id(self, user_id: str) -> list[FeedbackModel]: + with get_db() as db: + return [ + FeedbackModel.model_validate(feedback) + for feedback in db.query(Feedback) + .filter_by(user_id=user_id) + .order_by(Feedback.updated_at.desc()) + .all() + ] + + def update_feedback_by_id( + self, id: str, form_data: FeedbackForm + ) -> Optional[FeedbackModel]: + with get_db() as db: + feedback = db.query(Feedback).filter_by(id=id).first() + if not feedback: + return None + + if form_data.data: + feedback.data = form_data.data.model_dump() + if form_data.meta: + feedback.meta = form_data.meta + if form_data.snapshot: + feedback.snapshot = form_data.snapshot.model_dump() + + feedback.updated_at = int(time.time()) + + db.commit() + return FeedbackModel.model_validate(feedback) + + def update_feedback_by_id_and_user_id( + self, id: str, user_id: str, form_data: FeedbackForm + ) -> Optional[FeedbackModel]: + with get_db() as db: + feedback = db.query(Feedback).filter_by(id=id, user_id=user_id).first() + if not feedback: + return None + + if form_data.data: + feedback.data = form_data.data.model_dump() + if form_data.meta: + feedback.meta = form_data.meta + if form_data.snapshot: + feedback.snapshot = form_data.snapshot.model_dump() + + feedback.updated_at = int(time.time()) + + db.commit() + return FeedbackModel.model_validate(feedback) + + def delete_feedback_by_id(self, id: str) -> bool: + with get_db() as db: + feedback = db.query(Feedback).filter_by(id=id).first() + if not feedback: + return False + db.delete(feedback) + db.commit() + return True + + def delete_feedback_by_id_and_user_id(self, id: str, user_id: str) -> bool: + with get_db() as db: + feedback = db.query(Feedback).filter_by(id=id, user_id=user_id).first() + if not feedback: + return False + db.delete(feedback) + db.commit() + return True + + def delete_feedbacks_by_user_id(self, user_id: str) -> bool: + with get_db() as db: + feedbacks = db.query(Feedback).filter_by(user_id=user_id).all() + if not feedbacks: + return False + for feedback in feedbacks: + db.delete(feedback) + db.commit() + return True + + def delete_all_feedbacks(self) -> bool: + with get_db() as db: + feedbacks = db.query(Feedback).all() + if not feedbacks: + return False + for feedback in feedbacks: + db.delete(feedback) + db.commit() + return True + + +Feedbacks = FeedbackTable() diff --git a/backend/open_webui/apps/webui/models/files.py b/backend/open_webui/apps/webui/models/files.py new file mode 100644 index 0000000000000000000000000000000000000000..31c9164b60c1822732a6fae4261b4c7103c7082b --- /dev/null +++ b/backend/open_webui/apps/webui/models/files.py @@ -0,0 +1,230 @@ +import logging +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, JSONField, get_db +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text, JSON + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +#################### +# Files DB Schema +#################### + + +class File(Base): + __tablename__ = "file" + id = Column(String, primary_key=True) + user_id = Column(String) + hash = Column(Text, nullable=True) + + filename = Column(Text) + path = Column(Text, nullable=True) + + data = Column(JSON, nullable=True) + meta = Column(JSON, nullable=True) + + created_at = Column(BigInteger) + updated_at = Column(BigInteger) + + +class FileModel(BaseModel): + model_config = ConfigDict(from_attributes=True) + + id: str + user_id: str + hash: Optional[str] = None + + filename: str + path: Optional[str] = None + + data: Optional[dict] = None + meta: Optional[dict] = None + + created_at: Optional[int] # timestamp in epoch + updated_at: Optional[int] # timestamp in epoch + + +#################### +# Forms +#################### + + +class FileMeta(BaseModel): + name: Optional[str] = None + content_type: Optional[str] = None + size: Optional[int] = None + + model_config = ConfigDict(extra="allow") + + +class FileModelResponse(BaseModel): + id: str + user_id: str + hash: Optional[str] = None + + filename: str + data: Optional[dict] = None + meta: FileMeta + + created_at: int # timestamp in epoch + updated_at: int # timestamp in epoch + + model_config = ConfigDict(extra="allow") + + +class FileMetadataResponse(BaseModel): + id: str + meta: dict + created_at: int # timestamp in epoch + updated_at: int # timestamp in epoch + + +class FileForm(BaseModel): + id: str + hash: Optional[str] = None + filename: str + path: str + data: dict = {} + meta: dict = {} + + +class FilesTable: + def insert_new_file(self, user_id: str, form_data: FileForm) -> Optional[FileModel]: + with get_db() as db: + file = FileModel( + **{ + **form_data.model_dump(), + "user_id": user_id, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + + try: + result = File(**file.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return FileModel.model_validate(result) + else: + return None + except Exception as e: + print(f"Error creating tool: {e}") + return None + + def get_file_by_id(self, id: str) -> Optional[FileModel]: + with get_db() as db: + try: + file = db.get(File, id) + return FileModel.model_validate(file) + except Exception: + return None + + def get_file_metadata_by_id(self, id: str) -> Optional[FileMetadataResponse]: + with get_db() as db: + try: + file = db.get(File, id) + return FileMetadataResponse( + id=file.id, + meta=file.meta, + created_at=file.created_at, + updated_at=file.updated_at, + ) + except Exception: + return None + + def get_files(self) -> list[FileModel]: + with get_db() as db: + return [FileModel.model_validate(file) for file in db.query(File).all()] + + def get_files_by_ids(self, ids: list[str]) -> list[FileModel]: + with get_db() as db: + return [ + FileModel.model_validate(file) + for file in db.query(File) + .filter(File.id.in_(ids)) + .order_by(File.updated_at.desc()) + .all() + ] + + def get_file_metadatas_by_ids(self, ids: list[str]) -> list[FileMetadataResponse]: + with get_db() as db: + return [ + FileMetadataResponse( + id=file.id, + meta=file.meta, + created_at=file.created_at, + updated_at=file.updated_at, + ) + for file in db.query(File) + .filter(File.id.in_(ids)) + .order_by(File.updated_at.desc()) + .all() + ] + + def get_files_by_user_id(self, user_id: str) -> list[FileModel]: + with get_db() as db: + return [ + FileModel.model_validate(file) + for file in db.query(File).filter_by(user_id=user_id).all() + ] + + def update_file_hash_by_id(self, id: str, hash: str) -> Optional[FileModel]: + with get_db() as db: + try: + file = db.query(File).filter_by(id=id).first() + file.hash = hash + db.commit() + + return FileModel.model_validate(file) + except Exception: + return None + + def update_file_data_by_id(self, id: str, data: dict) -> Optional[FileModel]: + with get_db() as db: + try: + file = db.query(File).filter_by(id=id).first() + file.data = {**(file.data if file.data else {}), **data} + db.commit() + return FileModel.model_validate(file) + except Exception as e: + + return None + + def update_file_metadata_by_id(self, id: str, meta: dict) -> Optional[FileModel]: + with get_db() as db: + try: + file = db.query(File).filter_by(id=id).first() + file.meta = {**(file.meta if file.meta else {}), **meta} + db.commit() + return FileModel.model_validate(file) + except Exception: + return None + + def delete_file_by_id(self, id: str) -> bool: + with get_db() as db: + try: + db.query(File).filter_by(id=id).delete() + db.commit() + + return True + except Exception: + return False + + def delete_all_files(self) -> bool: + with get_db() as db: + try: + db.query(File).delete() + db.commit() + + return True + except Exception: + return False + + +Files = FilesTable() diff --git a/backend/open_webui/apps/webui/models/folders.py b/backend/open_webui/apps/webui/models/folders.py new file mode 100644 index 0000000000000000000000000000000000000000..90e8880aaddf0b98710f3a4b9987b59408a9aa86 --- /dev/null +++ b/backend/open_webui/apps/webui/models/folders.py @@ -0,0 +1,271 @@ +import logging +import time +import uuid +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.apps.webui.models.chats import Chats + +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, Text, JSON, Boolean + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + + +#################### +# Folder DB Schema +#################### + + +class Folder(Base): + __tablename__ = "folder" + id = Column(Text, primary_key=True) + parent_id = Column(Text, nullable=True) + user_id = Column(Text) + name = Column(Text) + items = Column(JSON, nullable=True) + meta = Column(JSON, nullable=True) + is_expanded = Column(Boolean, default=False) + created_at = Column(BigInteger) + updated_at = Column(BigInteger) + + +class FolderModel(BaseModel): + id: str + parent_id: Optional[str] = None + user_id: str + name: str + items: Optional[dict] = None + meta: Optional[dict] = None + is_expanded: bool = False + created_at: int + updated_at: int + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class FolderForm(BaseModel): + name: str + model_config = ConfigDict(extra="allow") + + +class FolderTable: + def insert_new_folder( + self, user_id: str, name: str, parent_id: Optional[str] = None + ) -> Optional[FolderModel]: + with get_db() as db: + id = str(uuid.uuid4()) + folder = FolderModel( + **{ + "id": id, + "user_id": user_id, + "name": name, + "parent_id": parent_id, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + try: + result = Folder(**folder.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return FolderModel.model_validate(result) + else: + return None + except Exception as e: + print(e) + return None + + def get_folder_by_id_and_user_id( + self, id: str, user_id: str + ) -> Optional[FolderModel]: + try: + with get_db() as db: + folder = db.query(Folder).filter_by(id=id, user_id=user_id).first() + + if not folder: + return None + + return FolderModel.model_validate(folder) + except Exception: + return None + + def get_children_folders_by_id_and_user_id( + self, id: str, user_id: str + ) -> Optional[FolderModel]: + try: + with get_db() as db: + folders = [] + + def get_children(folder): + children = self.get_folders_by_parent_id_and_user_id( + folder.id, user_id + ) + for child in children: + get_children(child) + folders.append(child) + + folder = db.query(Folder).filter_by(id=id, user_id=user_id).first() + if not folder: + return None + + get_children(folder) + return folders + except Exception: + return None + + def get_folders_by_user_id(self, user_id: str) -> list[FolderModel]: + with get_db() as db: + return [ + FolderModel.model_validate(folder) + for folder in db.query(Folder).filter_by(user_id=user_id).all() + ] + + def get_folder_by_parent_id_and_user_id_and_name( + self, parent_id: Optional[str], user_id: str, name: str + ) -> Optional[FolderModel]: + try: + with get_db() as db: + # Check if folder exists + folder = ( + db.query(Folder) + .filter_by(parent_id=parent_id, user_id=user_id) + .filter(Folder.name.ilike(name)) + .first() + ) + + if not folder: + return None + + return FolderModel.model_validate(folder) + except Exception as e: + log.error(f"get_folder_by_parent_id_and_user_id_and_name: {e}") + return None + + def get_folders_by_parent_id_and_user_id( + self, parent_id: Optional[str], user_id: str + ) -> list[FolderModel]: + with get_db() as db: + return [ + FolderModel.model_validate(folder) + for folder in db.query(Folder) + .filter_by(parent_id=parent_id, user_id=user_id) + .all() + ] + + def update_folder_parent_id_by_id_and_user_id( + self, + id: str, + user_id: str, + parent_id: str, + ) -> Optional[FolderModel]: + try: + with get_db() as db: + folder = db.query(Folder).filter_by(id=id, user_id=user_id).first() + + if not folder: + return None + + folder.parent_id = parent_id + folder.updated_at = int(time.time()) + + db.commit() + + return FolderModel.model_validate(folder) + except Exception as e: + log.error(f"update_folder: {e}") + return + + def update_folder_name_by_id_and_user_id( + self, id: str, user_id: str, name: str + ) -> Optional[FolderModel]: + try: + with get_db() as db: + folder = db.query(Folder).filter_by(id=id, user_id=user_id).first() + + if not folder: + return None + + existing_folder = ( + db.query(Folder) + .filter_by(name=name, parent_id=folder.parent_id, user_id=user_id) + .first() + ) + + if existing_folder: + return None + + folder.name = name + folder.updated_at = int(time.time()) + + db.commit() + + return FolderModel.model_validate(folder) + except Exception as e: + log.error(f"update_folder: {e}") + return + + def update_folder_is_expanded_by_id_and_user_id( + self, id: str, user_id: str, is_expanded: bool + ) -> Optional[FolderModel]: + try: + with get_db() as db: + folder = db.query(Folder).filter_by(id=id, user_id=user_id).first() + + if not folder: + return None + + folder.is_expanded = is_expanded + folder.updated_at = int(time.time()) + + db.commit() + + return FolderModel.model_validate(folder) + except Exception as e: + log.error(f"update_folder: {e}") + return + + def delete_folder_by_id_and_user_id(self, id: str, user_id: str) -> bool: + try: + with get_db() as db: + folder = db.query(Folder).filter_by(id=id, user_id=user_id).first() + if not folder: + return False + + # Delete all chats in the folder + Chats.delete_chats_by_user_id_and_folder_id(user_id, folder.id) + + # Delete all children folders + def delete_children(folder): + folder_children = self.get_folders_by_parent_id_and_user_id( + folder.id, user_id + ) + for folder_child in folder_children: + Chats.delete_chats_by_user_id_and_folder_id( + user_id, folder_child.id + ) + delete_children(folder_child) + + folder = db.query(Folder).filter_by(id=folder_child.id).first() + db.delete(folder) + db.commit() + + delete_children(folder) + db.delete(folder) + db.commit() + return True + except Exception as e: + log.error(f"delete_folder: {e}") + return False + + +Folders = FolderTable() diff --git a/backend/open_webui/apps/webui/models/functions.py b/backend/open_webui/apps/webui/models/functions.py new file mode 100644 index 0000000000000000000000000000000000000000..fda15507506cdb984afcb05b7b14fa7b7016af6a --- /dev/null +++ b/backend/open_webui/apps/webui/models/functions.py @@ -0,0 +1,270 @@ +import logging +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, JSONField, get_db +from open_webui.apps.webui.models.users import Users +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Boolean, Column, String, Text + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +#################### +# Functions DB Schema +#################### + + +class Function(Base): + __tablename__ = "function" + + id = Column(String, primary_key=True) + user_id = Column(String) + name = Column(Text) + type = Column(Text) + content = Column(Text) + meta = Column(JSONField) + valves = Column(JSONField) + is_active = Column(Boolean) + is_global = Column(Boolean) + updated_at = Column(BigInteger) + created_at = Column(BigInteger) + + +class FunctionMeta(BaseModel): + description: Optional[str] = None + manifest: Optional[dict] = {} + + +class FunctionModel(BaseModel): + id: str + user_id: str + name: str + type: str + content: str + meta: FunctionMeta + is_active: bool = False + is_global: bool = False + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class FunctionResponse(BaseModel): + id: str + user_id: str + type: str + name: str + meta: FunctionMeta + is_active: bool + is_global: bool + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + +class FunctionForm(BaseModel): + id: str + name: str + content: str + meta: FunctionMeta + + +class FunctionValves(BaseModel): + valves: Optional[dict] = None + + +class FunctionsTable: + def insert_new_function( + self, user_id: str, type: str, form_data: FunctionForm + ) -> Optional[FunctionModel]: + function = FunctionModel( + **{ + **form_data.model_dump(), + "user_id": user_id, + "type": type, + "updated_at": int(time.time()), + "created_at": int(time.time()), + } + ) + + try: + with get_db() as db: + result = Function(**function.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return FunctionModel.model_validate(result) + else: + return None + except Exception as e: + print(f"Error creating tool: {e}") + return None + + def get_function_by_id(self, id: str) -> Optional[FunctionModel]: + try: + with get_db() as db: + function = db.get(Function, id) + return FunctionModel.model_validate(function) + except Exception: + return None + + def get_functions(self, active_only=False) -> list[FunctionModel]: + with get_db() as db: + if active_only: + return [ + FunctionModel.model_validate(function) + for function in db.query(Function).filter_by(is_active=True).all() + ] + else: + return [ + FunctionModel.model_validate(function) + for function in db.query(Function).all() + ] + + def get_functions_by_type( + self, type: str, active_only=False + ) -> list[FunctionModel]: + with get_db() as db: + if active_only: + return [ + FunctionModel.model_validate(function) + for function in db.query(Function) + .filter_by(type=type, is_active=True) + .all() + ] + else: + return [ + FunctionModel.model_validate(function) + for function in db.query(Function).filter_by(type=type).all() + ] + + def get_global_filter_functions(self) -> list[FunctionModel]: + with get_db() as db: + return [ + FunctionModel.model_validate(function) + for function in db.query(Function) + .filter_by(type="filter", is_active=True, is_global=True) + .all() + ] + + def get_global_action_functions(self) -> list[FunctionModel]: + with get_db() as db: + return [ + FunctionModel.model_validate(function) + for function in db.query(Function) + .filter_by(type="action", is_active=True, is_global=True) + .all() + ] + + def get_function_valves_by_id(self, id: str) -> Optional[dict]: + with get_db() as db: + try: + function = db.get(Function, id) + return function.valves if function.valves else {} + except Exception as e: + print(f"An error occurred: {e}") + return None + + def update_function_valves_by_id( + self, id: str, valves: dict + ) -> Optional[FunctionValves]: + with get_db() as db: + try: + function = db.get(Function, id) + function.valves = valves + function.updated_at = int(time.time()) + db.commit() + db.refresh(function) + return self.get_function_by_id(id) + except Exception: + return None + + def get_user_valves_by_id_and_user_id( + self, id: str, user_id: str + ) -> Optional[dict]: + try: + user = Users.get_user_by_id(user_id) + user_settings = user.settings.model_dump() if user.settings else {} + + # Check if user has "functions" and "valves" settings + if "functions" not in user_settings: + user_settings["functions"] = {} + if "valves" not in user_settings["functions"]: + user_settings["functions"]["valves"] = {} + + return user_settings["functions"]["valves"].get(id, {}) + except Exception as e: + print(f"An error occurred: {e}") + return None + + def update_user_valves_by_id_and_user_id( + self, id: str, user_id: str, valves: dict + ) -> Optional[dict]: + try: + user = Users.get_user_by_id(user_id) + user_settings = user.settings.model_dump() if user.settings else {} + + # Check if user has "functions" and "valves" settings + if "functions" not in user_settings: + user_settings["functions"] = {} + if "valves" not in user_settings["functions"]: + user_settings["functions"]["valves"] = {} + + user_settings["functions"]["valves"][id] = valves + + # Update the user settings in the database + Users.update_user_by_id(user_id, {"settings": user_settings}) + + return user_settings["functions"]["valves"][id] + except Exception as e: + print(f"An error occurred: {e}") + return None + + def update_function_by_id(self, id: str, updated: dict) -> Optional[FunctionModel]: + with get_db() as db: + try: + db.query(Function).filter_by(id=id).update( + { + **updated, + "updated_at": int(time.time()), + } + ) + db.commit() + return self.get_function_by_id(id) + except Exception: + return None + + def deactivate_all_functions(self) -> Optional[bool]: + with get_db() as db: + try: + db.query(Function).update( + { + "is_active": False, + "updated_at": int(time.time()), + } + ) + db.commit() + return True + except Exception: + return None + + def delete_function_by_id(self, id: str) -> bool: + with get_db() as db: + try: + db.query(Function).filter_by(id=id).delete() + db.commit() + + return True + except Exception: + return False + + +Functions = FunctionsTable() diff --git a/backend/open_webui/apps/webui/models/knowledge.py b/backend/open_webui/apps/webui/models/knowledge.py new file mode 100644 index 0000000000000000000000000000000000000000..269ad8cc3cf83d46eb95d346b2bb4fda04ae293f --- /dev/null +++ b/backend/open_webui/apps/webui/models/knowledge.py @@ -0,0 +1,168 @@ +import json +import logging +import time +from typing import Optional +import uuid + +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.env import SRC_LOG_LEVELS + +from open_webui.apps.webui.models.files import FileMetadataResponse + + +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text, JSON + + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +#################### +# Knowledge DB Schema +#################### + + +class Knowledge(Base): + __tablename__ = "knowledge" + + id = Column(Text, unique=True, primary_key=True) + user_id = Column(Text) + + name = Column(Text) + description = Column(Text) + + data = Column(JSON, nullable=True) + meta = Column(JSON, nullable=True) + + created_at = Column(BigInteger) + updated_at = Column(BigInteger) + + +class KnowledgeModel(BaseModel): + model_config = ConfigDict(from_attributes=True) + + id: str + user_id: str + + name: str + description: str + + data: Optional[dict] = None + meta: Optional[dict] = None + + created_at: int # timestamp in epoch + updated_at: int # timestamp in epoch + + +#################### +# Forms +#################### + + +class KnowledgeResponse(BaseModel): + id: str + name: str + description: str + data: Optional[dict] = None + meta: Optional[dict] = None + created_at: int # timestamp in epoch + updated_at: int # timestamp in epoch + + files: Optional[list[FileMetadataResponse | dict]] = None + + +class KnowledgeForm(BaseModel): + name: str + description: str + data: Optional[dict] = None + + +class KnowledgeUpdateForm(BaseModel): + name: Optional[str] = None + description: Optional[str] = None + data: Optional[dict] = None + + +class KnowledgeTable: + def insert_new_knowledge( + self, user_id: str, form_data: KnowledgeForm + ) -> Optional[KnowledgeModel]: + with get_db() as db: + knowledge = KnowledgeModel( + **{ + **form_data.model_dump(), + "id": str(uuid.uuid4()), + "user_id": user_id, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + + try: + result = Knowledge(**knowledge.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return KnowledgeModel.model_validate(result) + else: + return None + except Exception: + return None + + def get_knowledge_items(self) -> list[KnowledgeModel]: + with get_db() as db: + return [ + KnowledgeModel.model_validate(knowledge) + for knowledge in db.query(Knowledge) + .order_by(Knowledge.updated_at.desc()) + .all() + ] + + def get_knowledge_by_id(self, id: str) -> Optional[KnowledgeModel]: + try: + with get_db() as db: + knowledge = db.query(Knowledge).filter_by(id=id).first() + return KnowledgeModel.model_validate(knowledge) if knowledge else None + except Exception: + return None + + def update_knowledge_by_id( + self, id: str, form_data: KnowledgeUpdateForm, overwrite: bool = False + ) -> Optional[KnowledgeModel]: + try: + with get_db() as db: + knowledge = self.get_knowledge_by_id(id=id) + db.query(Knowledge).filter_by(id=id).update( + { + **form_data.model_dump(exclude_none=True), + "updated_at": int(time.time()), + } + ) + db.commit() + return self.get_knowledge_by_id(id=id) + except Exception as e: + log.exception(e) + return None + + def delete_knowledge_by_id(self, id: str) -> bool: + try: + with get_db() as db: + db.query(Knowledge).filter_by(id=id).delete() + db.commit() + return True + except Exception: + return False + + def delete_all_knowledge(self) -> bool: + with get_db() as db: + try: + db.query(Knowledge).delete() + db.commit() + + return True + except Exception: + return False + + +Knowledges = KnowledgeTable() diff --git a/backend/open_webui/apps/webui/models/memories.py b/backend/open_webui/apps/webui/models/memories.py new file mode 100644 index 0000000000000000000000000000000000000000..6686058d368937e9c359964b7a42297346c891fe --- /dev/null +++ b/backend/open_webui/apps/webui/models/memories.py @@ -0,0 +1,137 @@ +import time +import uuid +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text + +#################### +# Memory DB Schema +#################### + + +class Memory(Base): + __tablename__ = "memory" + + id = Column(String, primary_key=True) + user_id = Column(String) + content = Column(Text) + updated_at = Column(BigInteger) + created_at = Column(BigInteger) + + +class MemoryModel(BaseModel): + id: str + user_id: str + content: str + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class MemoriesTable: + def insert_new_memory( + self, + user_id: str, + content: str, + ) -> Optional[MemoryModel]: + with get_db() as db: + id = str(uuid.uuid4()) + + memory = MemoryModel( + **{ + "id": id, + "user_id": user_id, + "content": content, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + result = Memory(**memory.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return MemoryModel.model_validate(result) + else: + return None + + def update_memory_by_id( + self, + id: str, + content: str, + ) -> Optional[MemoryModel]: + with get_db() as db: + try: + db.query(Memory).filter_by(id=id).update( + {"content": content, "updated_at": int(time.time())} + ) + db.commit() + return self.get_memory_by_id(id) + except Exception: + return None + + def get_memories(self) -> list[MemoryModel]: + with get_db() as db: + try: + memories = db.query(Memory).all() + return [MemoryModel.model_validate(memory) for memory in memories] + except Exception: + return None + + def get_memories_by_user_id(self, user_id: str) -> list[MemoryModel]: + with get_db() as db: + try: + memories = db.query(Memory).filter_by(user_id=user_id).all() + return [MemoryModel.model_validate(memory) for memory in memories] + except Exception: + return None + + def get_memory_by_id(self, id: str) -> Optional[MemoryModel]: + with get_db() as db: + try: + memory = db.get(Memory, id) + return MemoryModel.model_validate(memory) + except Exception: + return None + + def delete_memory_by_id(self, id: str) -> bool: + with get_db() as db: + try: + db.query(Memory).filter_by(id=id).delete() + db.commit() + + return True + + except Exception: + return False + + def delete_memories_by_user_id(self, user_id: str) -> bool: + with get_db() as db: + try: + db.query(Memory).filter_by(user_id=user_id).delete() + db.commit() + + return True + except Exception: + return False + + def delete_memory_by_id_and_user_id(self, id: str, user_id: str) -> bool: + with get_db() as db: + try: + db.query(Memory).filter_by(id=id, user_id=user_id).delete() + db.commit() + + return True + except Exception: + return False + + +Memories = MemoriesTable() diff --git a/backend/open_webui/apps/webui/models/models.py b/backend/open_webui/apps/webui/models/models.py new file mode 100644 index 0000000000000000000000000000000000000000..9bdffb9bcc66e3fee92447b6004388416ff65488 --- /dev/null +++ b/backend/open_webui/apps/webui/models/models.py @@ -0,0 +1,179 @@ +import logging +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, JSONField, get_db +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, Text + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + + +#################### +# Models DB Schema +#################### + + +# ModelParams is a model for the data stored in the params field of the Model table +class ModelParams(BaseModel): + model_config = ConfigDict(extra="allow") + pass + + +# ModelMeta is a model for the data stored in the meta field of the Model table +class ModelMeta(BaseModel): + profile_image_url: Optional[str] = "/static/favicon.png" + + description: Optional[str] = None + """ + User-facing description of the model. + """ + + capabilities: Optional[dict] = None + + model_config = ConfigDict(extra="allow") + + pass + + +class Model(Base): + __tablename__ = "model" + + id = Column(Text, primary_key=True) + """ + The model's id as used in the API. If set to an existing model, it will override the model. + """ + user_id = Column(Text) + + base_model_id = Column(Text, nullable=True) + """ + An optional pointer to the actual model that should be used when proxying requests. + """ + + name = Column(Text) + """ + The human-readable display name of the model. + """ + + params = Column(JSONField) + """ + Holds a JSON encoded blob of parameters, see `ModelParams`. + """ + + meta = Column(JSONField) + """ + Holds a JSON encoded blob of metadata, see `ModelMeta`. + """ + + updated_at = Column(BigInteger) + created_at = Column(BigInteger) + + +class ModelModel(BaseModel): + id: str + user_id: str + base_model_id: Optional[str] = None + + name: str + params: ModelParams + meta: ModelMeta + + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class ModelResponse(BaseModel): + id: str + name: str + meta: ModelMeta + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + +class ModelForm(BaseModel): + id: str + base_model_id: Optional[str] = None + name: str + meta: ModelMeta + params: ModelParams + + +class ModelsTable: + def insert_new_model( + self, form_data: ModelForm, user_id: str + ) -> Optional[ModelModel]: + model = ModelModel( + **{ + **form_data.model_dump(), + "user_id": user_id, + "created_at": int(time.time()), + "updated_at": int(time.time()), + } + ) + try: + with get_db() as db: + result = Model(**model.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + + if result: + return ModelModel.model_validate(result) + else: + return None + except Exception as e: + print(e) + return None + + def get_all_models(self) -> list[ModelModel]: + with get_db() as db: + return [ModelModel.model_validate(model) for model in db.query(Model).all()] + + def get_model_by_id(self, id: str) -> Optional[ModelModel]: + try: + with get_db() as db: + model = db.get(Model, id) + return ModelModel.model_validate(model) + except Exception: + return None + + def update_model_by_id(self, id: str, model: ModelForm) -> Optional[ModelModel]: + try: + with get_db() as db: + # update only the fields that are present in the model + result = ( + db.query(Model) + .filter_by(id=id) + .update(model.model_dump(exclude={"id"}, exclude_none=True)) + ) + db.commit() + + model = db.get(Model, id) + db.refresh(model) + return ModelModel.model_validate(model) + except Exception as e: + print(e) + + return None + + def delete_model_by_id(self, id: str) -> bool: + try: + with get_db() as db: + db.query(Model).filter_by(id=id).delete() + db.commit() + + return True + except Exception: + return False + + +Models = ModelsTable() diff --git a/backend/open_webui/apps/webui/models/prompts.py b/backend/open_webui/apps/webui/models/prompts.py new file mode 100644 index 0000000000000000000000000000000000000000..6b98e5c5350cf45702167bba283ade9b9af8f2bc --- /dev/null +++ b/backend/open_webui/apps/webui/models/prompts.py @@ -0,0 +1,110 @@ +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text + +#################### +# Prompts DB Schema +#################### + + +class Prompt(Base): + __tablename__ = "prompt" + + command = Column(String, primary_key=True) + user_id = Column(String) + title = Column(Text) + content = Column(Text) + timestamp = Column(BigInteger) + + +class PromptModel(BaseModel): + command: str + user_id: str + title: str + content: str + timestamp: int # timestamp in epoch + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class PromptForm(BaseModel): + command: str + title: str + content: str + + +class PromptsTable: + def insert_new_prompt( + self, user_id: str, form_data: PromptForm + ) -> Optional[PromptModel]: + prompt = PromptModel( + **{ + "user_id": user_id, + "command": form_data.command, + "title": form_data.title, + "content": form_data.content, + "timestamp": int(time.time()), + } + ) + + try: + with get_db() as db: + result = Prompt(**prompt.dict()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return PromptModel.model_validate(result) + else: + return None + except Exception: + return None + + def get_prompt_by_command(self, command: str) -> Optional[PromptModel]: + try: + with get_db() as db: + prompt = db.query(Prompt).filter_by(command=command).first() + return PromptModel.model_validate(prompt) + except Exception: + return None + + def get_prompts(self) -> list[PromptModel]: + with get_db() as db: + return [ + PromptModel.model_validate(prompt) for prompt in db.query(Prompt).all() + ] + + def update_prompt_by_command( + self, command: str, form_data: PromptForm + ) -> Optional[PromptModel]: + try: + with get_db() as db: + prompt = db.query(Prompt).filter_by(command=command).first() + prompt.title = form_data.title + prompt.content = form_data.content + prompt.timestamp = int(time.time()) + db.commit() + return PromptModel.model_validate(prompt) + except Exception: + return None + + def delete_prompt_by_command(self, command: str) -> bool: + try: + with get_db() as db: + db.query(Prompt).filter_by(command=command).delete() + db.commit() + + return True + except Exception: + return False + + +Prompts = PromptsTable() diff --git a/backend/open_webui/apps/webui/models/tags.py b/backend/open_webui/apps/webui/models/tags.py new file mode 100644 index 0000000000000000000000000000000000000000..7424a26604047257a9e0f189ab92da0ca4d04654 --- /dev/null +++ b/backend/open_webui/apps/webui/models/tags.py @@ -0,0 +1,109 @@ +import logging +import time +import uuid +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, get_db + + +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, JSON, PrimaryKeyConstraint + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + + +#################### +# Tag DB Schema +#################### +class Tag(Base): + __tablename__ = "tag" + id = Column(String) + name = Column(String) + user_id = Column(String) + meta = Column(JSON, nullable=True) + + # Unique constraint ensuring (id, user_id) is unique, not just the `id` column + __table_args__ = (PrimaryKeyConstraint("id", "user_id", name="pk_id_user_id"),) + + +class TagModel(BaseModel): + id: str + name: str + user_id: str + meta: Optional[dict] = None + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class TagChatIdForm(BaseModel): + name: str + chat_id: str + + +class TagTable: + def insert_new_tag(self, name: str, user_id: str) -> Optional[TagModel]: + with get_db() as db: + id = name.replace(" ", "_").lower() + tag = TagModel(**{"id": id, "user_id": user_id, "name": name}) + try: + result = Tag(**tag.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return TagModel.model_validate(result) + else: + return None + except Exception as e: + print(e) + return None + + def get_tag_by_name_and_user_id( + self, name: str, user_id: str + ) -> Optional[TagModel]: + try: + id = name.replace(" ", "_").lower() + with get_db() as db: + tag = db.query(Tag).filter_by(id=id, user_id=user_id).first() + return TagModel.model_validate(tag) + except Exception: + return None + + def get_tags_by_user_id(self, user_id: str) -> list[TagModel]: + with get_db() as db: + return [ + TagModel.model_validate(tag) + for tag in (db.query(Tag).filter_by(user_id=user_id).all()) + ] + + def get_tags_by_ids_and_user_id( + self, ids: list[str], user_id: str + ) -> list[TagModel]: + with get_db() as db: + return [ + TagModel.model_validate(tag) + for tag in ( + db.query(Tag).filter(Tag.id.in_(ids), Tag.user_id == user_id).all() + ) + ] + + def delete_tag_by_name_and_user_id(self, name: str, user_id: str) -> bool: + try: + with get_db() as db: + id = name.replace(" ", "_").lower() + res = db.query(Tag).filter_by(id=id, user_id=user_id).delete() + log.debug(f"res: {res}") + db.commit() + return True + except Exception as e: + log.error(f"delete_tag: {e}") + return False + + +Tags = TagTable() diff --git a/backend/open_webui/apps/webui/models/tools.py b/backend/open_webui/apps/webui/models/tools.py new file mode 100644 index 0000000000000000000000000000000000000000..e06f83452b2af8b7f540ddf2f412833ea6f8c609 --- /dev/null +++ b/backend/open_webui/apps/webui/models/tools.py @@ -0,0 +1,202 @@ +import logging +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, JSONField, get_db +from open_webui.apps.webui.models.users import Users +from open_webui.env import SRC_LOG_LEVELS +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +#################### +# Tools DB Schema +#################### + + +class Tool(Base): + __tablename__ = "tool" + + id = Column(String, primary_key=True) + user_id = Column(String) + name = Column(Text) + content = Column(Text) + specs = Column(JSONField) + meta = Column(JSONField) + valves = Column(JSONField) + updated_at = Column(BigInteger) + created_at = Column(BigInteger) + + +class ToolMeta(BaseModel): + description: Optional[str] = None + manifest: Optional[dict] = {} + + +class ToolModel(BaseModel): + id: str + user_id: str + name: str + content: str + specs: list[dict] + meta: ToolMeta + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class ToolResponse(BaseModel): + id: str + user_id: str + name: str + meta: ToolMeta + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + +class ToolForm(BaseModel): + id: str + name: str + content: str + meta: ToolMeta + + +class ToolValves(BaseModel): + valves: Optional[dict] = None + + +class ToolsTable: + def insert_new_tool( + self, user_id: str, form_data: ToolForm, specs: list[dict] + ) -> Optional[ToolModel]: + with get_db() as db: + tool = ToolModel( + **{ + **form_data.model_dump(), + "specs": specs, + "user_id": user_id, + "updated_at": int(time.time()), + "created_at": int(time.time()), + } + ) + + try: + result = Tool(**tool.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return ToolModel.model_validate(result) + else: + return None + except Exception as e: + print(f"Error creating tool: {e}") + return None + + def get_tool_by_id(self, id: str) -> Optional[ToolModel]: + try: + with get_db() as db: + tool = db.get(Tool, id) + return ToolModel.model_validate(tool) + except Exception: + return None + + def get_tools(self) -> list[ToolModel]: + with get_db() as db: + return [ToolModel.model_validate(tool) for tool in db.query(Tool).all()] + + def get_tool_valves_by_id(self, id: str) -> Optional[dict]: + try: + with get_db() as db: + tool = db.get(Tool, id) + return tool.valves if tool.valves else {} + except Exception as e: + print(f"An error occurred: {e}") + return None + + def update_tool_valves_by_id(self, id: str, valves: dict) -> Optional[ToolValves]: + try: + with get_db() as db: + db.query(Tool).filter_by(id=id).update( + {"valves": valves, "updated_at": int(time.time())} + ) + db.commit() + return self.get_tool_by_id(id) + except Exception: + return None + + def get_user_valves_by_id_and_user_id( + self, id: str, user_id: str + ) -> Optional[dict]: + try: + user = Users.get_user_by_id(user_id) + user_settings = user.settings.model_dump() if user.settings else {} + + # Check if user has "tools" and "valves" settings + if "tools" not in user_settings: + user_settings["tools"] = {} + if "valves" not in user_settings["tools"]: + user_settings["tools"]["valves"] = {} + + return user_settings["tools"]["valves"].get(id, {}) + except Exception as e: + print(f"An error occurred: {e}") + return None + + def update_user_valves_by_id_and_user_id( + self, id: str, user_id: str, valves: dict + ) -> Optional[dict]: + try: + user = Users.get_user_by_id(user_id) + user_settings = user.settings.model_dump() if user.settings else {} + + # Check if user has "tools" and "valves" settings + if "tools" not in user_settings: + user_settings["tools"] = {} + if "valves" not in user_settings["tools"]: + user_settings["tools"]["valves"] = {} + + user_settings["tools"]["valves"][id] = valves + + # Update the user settings in the database + Users.update_user_by_id(user_id, {"settings": user_settings}) + + return user_settings["tools"]["valves"][id] + except Exception as e: + print(f"An error occurred: {e}") + return None + + def update_tool_by_id(self, id: str, updated: dict) -> Optional[ToolModel]: + try: + with get_db() as db: + db.query(Tool).filter_by(id=id).update( + {**updated, "updated_at": int(time.time())} + ) + db.commit() + + tool = db.query(Tool).get(id) + db.refresh(tool) + return ToolModel.model_validate(tool) + except Exception: + return None + + def delete_tool_by_id(self, id: str) -> bool: + try: + with get_db() as db: + db.query(Tool).filter_by(id=id).delete() + db.commit() + + return True + except Exception: + return False + + +Tools = ToolsTable() diff --git a/backend/open_webui/apps/webui/models/users.py b/backend/open_webui/apps/webui/models/users.py new file mode 100644 index 0000000000000000000000000000000000000000..328618a671a117a483c0d730b805ccc78391b9f6 --- /dev/null +++ b/backend/open_webui/apps/webui/models/users.py @@ -0,0 +1,261 @@ +import time +from typing import Optional + +from open_webui.apps.webui.internal.db import Base, JSONField, get_db +from open_webui.apps.webui.models.chats import Chats +from pydantic import BaseModel, ConfigDict +from sqlalchemy import BigInteger, Column, String, Text + +#################### +# User DB Schema +#################### + + +class User(Base): + __tablename__ = "user" + + id = Column(String, primary_key=True) + name = Column(String) + email = Column(String) + role = Column(String) + profile_image_url = Column(Text) + + last_active_at = Column(BigInteger) + updated_at = Column(BigInteger) + created_at = Column(BigInteger) + + api_key = Column(String, nullable=True, unique=True) + settings = Column(JSONField, nullable=True) + info = Column(JSONField, nullable=True) + + oauth_sub = Column(Text, unique=True) + + +class UserSettings(BaseModel): + ui: Optional[dict] = {} + model_config = ConfigDict(extra="allow") + pass + + +class UserModel(BaseModel): + id: str + name: str + email: str + role: str = "pending" + profile_image_url: str + + last_active_at: int # timestamp in epoch + updated_at: int # timestamp in epoch + created_at: int # timestamp in epoch + + api_key: Optional[str] = None + settings: Optional[UserSettings] = None + info: Optional[dict] = None + + oauth_sub: Optional[str] = None + + model_config = ConfigDict(from_attributes=True) + + +#################### +# Forms +#################### + + +class UserRoleUpdateForm(BaseModel): + id: str + role: str + + +class UserUpdateForm(BaseModel): + name: str + email: str + profile_image_url: str + password: Optional[str] = None + + +class UsersTable: + def insert_new_user( + self, + id: str, + name: str, + email: str, + profile_image_url: str = "/user.png", + role: str = "pending", + oauth_sub: Optional[str] = None, + ) -> Optional[UserModel]: + with get_db() as db: + user = UserModel( + **{ + "id": id, + "name": name, + "email": email, + "role": role, + "profile_image_url": profile_image_url, + "last_active_at": int(time.time()), + "created_at": int(time.time()), + "updated_at": int(time.time()), + "oauth_sub": oauth_sub, + } + ) + result = User(**user.model_dump()) + db.add(result) + db.commit() + db.refresh(result) + if result: + return user + else: + return None + + def get_user_by_id(self, id: str) -> Optional[UserModel]: + try: + with get_db() as db: + user = db.query(User).filter_by(id=id).first() + return UserModel.model_validate(user) + except Exception: + return None + + def get_user_by_api_key(self, api_key: str) -> Optional[UserModel]: + try: + with get_db() as db: + user = db.query(User).filter_by(api_key=api_key).first() + return UserModel.model_validate(user) + except Exception: + return None + + def get_user_by_email(self, email: str) -> Optional[UserModel]: + try: + with get_db() as db: + user = db.query(User).filter_by(email=email).first() + return UserModel.model_validate(user) + except Exception: + return None + + def get_user_by_oauth_sub(self, sub: str) -> Optional[UserModel]: + try: + with get_db() as db: + user = db.query(User).filter_by(oauth_sub=sub).first() + return UserModel.model_validate(user) + except Exception: + return None + + def get_users(self, skip: int = 0, limit: int = 50) -> list[UserModel]: + with get_db() as db: + users = ( + db.query(User) + # .offset(skip).limit(limit) + .all() + ) + return [UserModel.model_validate(user) for user in users] + + def get_num_users(self) -> Optional[int]: + with get_db() as db: + return db.query(User).count() + + def get_first_user(self) -> UserModel: + try: + with get_db() as db: + user = db.query(User).order_by(User.created_at).first() + return UserModel.model_validate(user) + except Exception: + return None + + def update_user_role_by_id(self, id: str, role: str) -> Optional[UserModel]: + try: + with get_db() as db: + db.query(User).filter_by(id=id).update({"role": role}) + db.commit() + user = db.query(User).filter_by(id=id).first() + return UserModel.model_validate(user) + except Exception: + return None + + def update_user_profile_image_url_by_id( + self, id: str, profile_image_url: str + ) -> Optional[UserModel]: + try: + with get_db() as db: + db.query(User).filter_by(id=id).update( + {"profile_image_url": profile_image_url} + ) + db.commit() + + user = db.query(User).filter_by(id=id).first() + return UserModel.model_validate(user) + except Exception: + return None + + def update_user_last_active_by_id(self, id: str) -> Optional[UserModel]: + try: + with get_db() as db: + db.query(User).filter_by(id=id).update( + {"last_active_at": int(time.time())} + ) + db.commit() + + user = db.query(User).filter_by(id=id).first() + return UserModel.model_validate(user) + except Exception: + return None + + def update_user_oauth_sub_by_id( + self, id: str, oauth_sub: str + ) -> Optional[UserModel]: + try: + with get_db() as db: + db.query(User).filter_by(id=id).update({"oauth_sub": oauth_sub}) + db.commit() + + user = db.query(User).filter_by(id=id).first() + return UserModel.model_validate(user) + except Exception: + return None + + def update_user_by_id(self, id: str, updated: dict) -> Optional[UserModel]: + try: + with get_db() as db: + db.query(User).filter_by(id=id).update(updated) + db.commit() + + user = db.query(User).filter_by(id=id).first() + return UserModel.model_validate(user) + # return UserModel(**user.dict()) + except Exception: + return None + + def delete_user_by_id(self, id: str) -> bool: + try: + # Delete User Chats + result = Chats.delete_chats_by_user_id(id) + + if result: + with get_db() as db: + # Delete User + db.query(User).filter_by(id=id).delete() + db.commit() + + return True + else: + return False + except Exception: + return False + + def update_user_api_key_by_id(self, id: str, api_key: str) -> str: + try: + with get_db() as db: + result = db.query(User).filter_by(id=id).update({"api_key": api_key}) + db.commit() + return True if result == 1 else False + except Exception: + return False + + def get_user_api_key_by_id(self, id: str) -> Optional[str]: + try: + with get_db() as db: + user = db.query(User).filter_by(id=id).first() + return user.api_key + except Exception: + return None + + +Users = UsersTable() diff --git a/backend/open_webui/apps/webui/routers/auths.py b/backend/open_webui/apps/webui/routers/auths.py new file mode 100644 index 0000000000000000000000000000000000000000..ef0a0d445b46bce7dd7748220aa1efc4722145fc --- /dev/null +++ b/backend/open_webui/apps/webui/routers/auths.py @@ -0,0 +1,497 @@ +import re +import uuid +import time +import datetime + +from open_webui.apps.webui.models.auths import ( + AddUserForm, + ApiKey, + Auths, + Token, + SigninForm, + SigninResponse, + SignupForm, + UpdatePasswordForm, + UpdateProfileForm, + UserResponse, +) +from open_webui.apps.webui.models.users import Users +from open_webui.config import WEBUI_AUTH +from open_webui.constants import ERROR_MESSAGES, WEBHOOK_MESSAGES +from open_webui.env import ( + WEBUI_AUTH_TRUSTED_EMAIL_HEADER, + WEBUI_AUTH_TRUSTED_NAME_HEADER, + WEBUI_SESSION_COOKIE_SAME_SITE, + WEBUI_SESSION_COOKIE_SECURE, +) +from fastapi import APIRouter, Depends, HTTPException, Request, status +from fastapi.responses import Response +from pydantic import BaseModel +from open_webui.utils.misc import parse_duration, validate_email_format +from open_webui.utils.utils import ( + create_api_key, + create_token, + get_admin_user, + get_verified_user, + get_current_user, + get_password_hash, +) +from open_webui.utils.webhook import post_webhook +from typing import Optional + +router = APIRouter() + +############################ +# GetSessionUser +############################ + + +class SessionUserResponse(Token, UserResponse): + expires_at: Optional[int] = None + + +@router.get("/", response_model=SessionUserResponse) +async def get_session_user( + request: Request, response: Response, user=Depends(get_current_user) +): + expires_delta = parse_duration(request.app.state.config.JWT_EXPIRES_IN) + expires_at = None + if expires_delta: + expires_at = int(time.time()) + int(expires_delta.total_seconds()) + + token = create_token( + data={"id": user.id}, + expires_delta=expires_delta, + ) + + datetime_expires_at = ( + datetime.datetime.fromtimestamp(expires_at, datetime.timezone.utc) + if expires_at + else None + ) + + # Set the cookie token + response.set_cookie( + key="token", + value=token, + expires=datetime_expires_at, + httponly=True, # Ensures the cookie is not accessible via JavaScript + samesite=WEBUI_SESSION_COOKIE_SAME_SITE, + secure=WEBUI_SESSION_COOKIE_SECURE, + ) + + return { + "token": token, + "token_type": "Bearer", + "expires_at": expires_at, + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + "profile_image_url": user.profile_image_url, + } + + +############################ +# Update Profile +############################ + + +@router.post("/update/profile", response_model=UserResponse) +async def update_profile( + form_data: UpdateProfileForm, session_user=Depends(get_verified_user) +): + if session_user: + user = Users.update_user_by_id( + session_user.id, + {"profile_image_url": form_data.profile_image_url, "name": form_data.name}, + ) + if user: + return user + else: + raise HTTPException(400, detail=ERROR_MESSAGES.DEFAULT()) + else: + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + + +############################ +# Update Password +############################ + + +@router.post("/update/password", response_model=bool) +async def update_password( + form_data: UpdatePasswordForm, session_user=Depends(get_current_user) +): + if WEBUI_AUTH_TRUSTED_EMAIL_HEADER: + raise HTTPException(400, detail=ERROR_MESSAGES.ACTION_PROHIBITED) + if session_user: + user = Auths.authenticate_user(session_user.email, form_data.password) + + if user: + hashed = get_password_hash(form_data.new_password) + return Auths.update_user_password_by_id(user.id, hashed) + else: + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_PASSWORD) + else: + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + + +############################ +# SignIn +############################ + + +@router.post("/signin", response_model=SessionUserResponse) +async def signin(request: Request, response: Response, form_data: SigninForm): + if WEBUI_AUTH_TRUSTED_EMAIL_HEADER: + if WEBUI_AUTH_TRUSTED_EMAIL_HEADER not in request.headers: + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_TRUSTED_HEADER) + + trusted_email = request.headers[WEBUI_AUTH_TRUSTED_EMAIL_HEADER].lower() + trusted_name = trusted_email + if WEBUI_AUTH_TRUSTED_NAME_HEADER: + trusted_name = request.headers.get( + WEBUI_AUTH_TRUSTED_NAME_HEADER, trusted_email + ) + if not Users.get_user_by_email(trusted_email.lower()): + await signup( + request, + response, + SignupForm( + email=trusted_email, password=str(uuid.uuid4()), name=trusted_name + ), + ) + user = Auths.authenticate_user_by_trusted_header(trusted_email) + elif WEBUI_AUTH == False: + admin_email = "admin@localhost" + admin_password = "admin" + + if Users.get_user_by_email(admin_email.lower()): + user = Auths.authenticate_user(admin_email.lower(), admin_password) + else: + if Users.get_num_users() != 0: + raise HTTPException(400, detail=ERROR_MESSAGES.EXISTING_USERS) + + await signup( + request, + response, + SignupForm(email=admin_email, password=admin_password, name="User"), + ) + + user = Auths.authenticate_user(admin_email.lower(), admin_password) + else: + user = Auths.authenticate_user(form_data.email.lower(), form_data.password) + + if user: + + expires_delta = parse_duration(request.app.state.config.JWT_EXPIRES_IN) + expires_at = None + if expires_delta: + expires_at = int(time.time()) + int(expires_delta.total_seconds()) + + token = create_token( + data={"id": user.id}, + expires_delta=expires_delta, + ) + + datetime_expires_at = ( + datetime.datetime.fromtimestamp(expires_at, datetime.timezone.utc) + if expires_at + else None + ) + + # Set the cookie token + response.set_cookie( + key="token", + value=token, + expires=datetime_expires_at, + httponly=True, # Ensures the cookie is not accessible via JavaScript + samesite=WEBUI_SESSION_COOKIE_SAME_SITE, + secure=WEBUI_SESSION_COOKIE_SECURE, + ) + + return { + "token": token, + "token_type": "Bearer", + "expires_at": expires_at, + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + "profile_image_url": user.profile_image_url, + } + else: + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + + +############################ +# SignUp +############################ + + +@router.post("/signup", response_model=SessionUserResponse) +async def signup(request: Request, response: Response, form_data: SignupForm): + if WEBUI_AUTH: + if ( + not request.app.state.config.ENABLE_SIGNUP + or not request.app.state.config.ENABLE_LOGIN_FORM + ): + raise HTTPException( + status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED + ) + else: + if Users.get_num_users() != 0: + raise HTTPException( + status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED + ) + + if not validate_email_format(form_data.email.lower()): + raise HTTPException( + status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.INVALID_EMAIL_FORMAT + ) + + if Users.get_user_by_email(form_data.email.lower()): + raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN) + + try: + role = ( + "admin" + if Users.get_num_users() == 0 + else request.app.state.config.DEFAULT_USER_ROLE + ) + hashed = get_password_hash(form_data.password) + user = Auths.insert_new_auth( + form_data.email.lower(), + hashed, + form_data.name, + form_data.profile_image_url, + role, + ) + + if user: + expires_delta = parse_duration(request.app.state.config.JWT_EXPIRES_IN) + expires_at = None + if expires_delta: + expires_at = int(time.time()) + int(expires_delta.total_seconds()) + + token = create_token( + data={"id": user.id}, + expires_delta=expires_delta, + ) + + datetime_expires_at = ( + datetime.datetime.fromtimestamp(expires_at, datetime.timezone.utc) + if expires_at + else None + ) + + # Set the cookie token + response.set_cookie( + key="token", + value=token, + expires=datetime_expires_at, + httponly=True, # Ensures the cookie is not accessible via JavaScript + samesite=WEBUI_SESSION_COOKIE_SAME_SITE, + secure=WEBUI_SESSION_COOKIE_SECURE, + ) + + if request.app.state.config.WEBHOOK_URL: + post_webhook( + request.app.state.config.WEBHOOK_URL, + WEBHOOK_MESSAGES.USER_SIGNUP(user.name), + { + "action": "signup", + "message": WEBHOOK_MESSAGES.USER_SIGNUP(user.name), + "user": user.model_dump_json(exclude_none=True), + }, + ) + + return { + "token": token, + "token_type": "Bearer", + "expires_at": expires_at, + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + "profile_image_url": user.profile_image_url, + } + else: + raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_USER_ERROR) + except Exception as err: + raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err)) + + +@router.get("/signout") +async def signout(response: Response): + response.delete_cookie("token") + return {"status": True} + + +############################ +# AddUser +############################ + + +@router.post("/add", response_model=SigninResponse) +async def add_user(form_data: AddUserForm, user=Depends(get_admin_user)): + if not validate_email_format(form_data.email.lower()): + raise HTTPException( + status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.INVALID_EMAIL_FORMAT + ) + + if Users.get_user_by_email(form_data.email.lower()): + raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN) + + try: + print(form_data) + hashed = get_password_hash(form_data.password) + user = Auths.insert_new_auth( + form_data.email.lower(), + hashed, + form_data.name, + form_data.profile_image_url, + form_data.role, + ) + + if user: + token = create_token(data={"id": user.id}) + return { + "token": token, + "token_type": "Bearer", + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + "profile_image_url": user.profile_image_url, + } + else: + raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_USER_ERROR) + except Exception as err: + raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err)) + + +############################ +# GetAdminDetails +############################ + + +@router.get("/admin/details") +async def get_admin_details(request: Request, user=Depends(get_current_user)): + if request.app.state.config.SHOW_ADMIN_DETAILS: + admin_email = request.app.state.config.ADMIN_EMAIL + admin_name = None + + print(admin_email, admin_name) + + if admin_email: + admin = Users.get_user_by_email(admin_email) + if admin: + admin_name = admin.name + else: + admin = Users.get_first_user() + if admin: + admin_email = admin.email + admin_name = admin.name + + return { + "name": admin_name, + "email": admin_email, + } + else: + raise HTTPException(400, detail=ERROR_MESSAGES.ACTION_PROHIBITED) + + +############################ +# ToggleSignUp +############################ + + +@router.get("/admin/config") +async def get_admin_config(request: Request, user=Depends(get_admin_user)): + return { + "SHOW_ADMIN_DETAILS": request.app.state.config.SHOW_ADMIN_DETAILS, + "ENABLE_SIGNUP": request.app.state.config.ENABLE_SIGNUP, + "DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE, + "JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN, + "ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING, + "ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING, + } + + +class AdminConfig(BaseModel): + SHOW_ADMIN_DETAILS: bool + ENABLE_SIGNUP: bool + DEFAULT_USER_ROLE: str + JWT_EXPIRES_IN: str + ENABLE_COMMUNITY_SHARING: bool + ENABLE_MESSAGE_RATING: bool + + +@router.post("/admin/config") +async def update_admin_config( + request: Request, form_data: AdminConfig, user=Depends(get_admin_user) +): + request.app.state.config.SHOW_ADMIN_DETAILS = form_data.SHOW_ADMIN_DETAILS + request.app.state.config.ENABLE_SIGNUP = form_data.ENABLE_SIGNUP + + if form_data.DEFAULT_USER_ROLE in ["pending", "user", "admin"]: + request.app.state.config.DEFAULT_USER_ROLE = form_data.DEFAULT_USER_ROLE + + pattern = r"^(-1|0|(-?\d+(\.\d+)?)(ms|s|m|h|d|w))$" + + # Check if the input string matches the pattern + if re.match(pattern, form_data.JWT_EXPIRES_IN): + request.app.state.config.JWT_EXPIRES_IN = form_data.JWT_EXPIRES_IN + + request.app.state.config.ENABLE_COMMUNITY_SHARING = ( + form_data.ENABLE_COMMUNITY_SHARING + ) + request.app.state.config.ENABLE_MESSAGE_RATING = form_data.ENABLE_MESSAGE_RATING + + return { + "SHOW_ADMIN_DETAILS": request.app.state.config.SHOW_ADMIN_DETAILS, + "ENABLE_SIGNUP": request.app.state.config.ENABLE_SIGNUP, + "DEFAULT_USER_ROLE": request.app.state.config.DEFAULT_USER_ROLE, + "JWT_EXPIRES_IN": request.app.state.config.JWT_EXPIRES_IN, + "ENABLE_COMMUNITY_SHARING": request.app.state.config.ENABLE_COMMUNITY_SHARING, + "ENABLE_MESSAGE_RATING": request.app.state.config.ENABLE_MESSAGE_RATING, + } + + +############################ +# API Key +############################ + + +# create api key +@router.post("/api_key", response_model=ApiKey) +async def create_api_key_(user=Depends(get_current_user)): + api_key = create_api_key() + success = Users.update_user_api_key_by_id(user.id, api_key) + if success: + return { + "api_key": api_key, + } + else: + raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_API_KEY_ERROR) + + +# delete api key +@router.delete("/api_key", response_model=bool) +async def delete_api_key(user=Depends(get_current_user)): + success = Users.update_user_api_key_by_id(user.id, None) + return success + + +# get api key +@router.get("/api_key", response_model=ApiKey) +async def get_api_key(user=Depends(get_current_user)): + api_key = Users.get_user_api_key_by_id(user.id) + if api_key: + return { + "api_key": api_key, + } + else: + raise HTTPException(404, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND) diff --git a/backend/open_webui/apps/webui/routers/chats.py b/backend/open_webui/apps/webui/routers/chats.py new file mode 100644 index 0000000000000000000000000000000000000000..b149b2eb48b50bd730e870446be3501d62a1ad59 --- /dev/null +++ b/backend/open_webui/apps/webui/routers/chats.py @@ -0,0 +1,665 @@ +import json +import logging +from typing import Optional + +from open_webui.apps.webui.models.chats import ( + ChatForm, + ChatImportForm, + ChatResponse, + Chats, + ChatTitleIdResponse, +) +from open_webui.apps.webui.models.tags import TagModel, Tags +from open_webui.apps.webui.models.folders import Folders + +from open_webui.config import ENABLE_ADMIN_CHAT_ACCESS, ENABLE_ADMIN_EXPORT +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import SRC_LOG_LEVELS +from fastapi import APIRouter, Depends, HTTPException, Request, status +from pydantic import BaseModel +from open_webui.utils.utils import get_admin_user, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +router = APIRouter() + +############################ +# GetChatList +############################ + + +@router.get("/", response_model=list[ChatTitleIdResponse]) +@router.get("/list", response_model=list[ChatTitleIdResponse]) +async def get_session_user_chat_list( + user=Depends(get_verified_user), page: Optional[int] = None +): + if page is not None: + limit = 60 + skip = (page - 1) * limit + + return Chats.get_chat_title_id_list_by_user_id(user.id, skip=skip, limit=limit) + else: + return Chats.get_chat_title_id_list_by_user_id(user.id) + + +############################ +# DeleteAllChats +############################ + + +@router.delete("/", response_model=bool) +async def delete_all_user_chats(request: Request, user=Depends(get_verified_user)): + if user.role == "user" and not request.app.state.config.USER_PERMISSIONS.get( + "chat", {} + ).get("deletion", {}): + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + + result = Chats.delete_chats_by_user_id(user.id) + return result + + +############################ +# GetUserChatList +############################ + + +@router.get("/list/user/{user_id}", response_model=list[ChatTitleIdResponse]) +async def get_user_chat_list_by_user_id( + user_id: str, + user=Depends(get_admin_user), + skip: int = 0, + limit: int = 50, +): + if not ENABLE_ADMIN_CHAT_ACCESS: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + return Chats.get_chat_list_by_user_id( + user_id, include_archived=True, skip=skip, limit=limit + ) + + +############################ +# CreateNewChat +############################ + + +@router.post("/new", response_model=Optional[ChatResponse]) +async def create_new_chat(form_data: ChatForm, user=Depends(get_verified_user)): + try: + chat = Chats.insert_new_chat(user.id, form_data) + return ChatResponse(**chat.model_dump()) + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# ImportChat +############################ + + +@router.post("/import", response_model=Optional[ChatResponse]) +async def import_chat(form_data: ChatImportForm, user=Depends(get_verified_user)): + try: + chat = Chats.import_chat(user.id, form_data) + if chat: + tags = chat.meta.get("tags", []) + for tag_id in tags: + tag_id = tag_id.replace(" ", "_").lower() + tag_name = " ".join([word.capitalize() for word in tag_id.split("_")]) + if ( + tag_id != "none" + and Tags.get_tag_by_name_and_user_id(tag_name, user.id) is None + ): + Tags.insert_new_tag(tag_name, user.id) + + return ChatResponse(**chat.model_dump()) + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# GetChats +############################ + + +@router.get("/search", response_model=list[ChatTitleIdResponse]) +async def search_user_chats( + text: str, page: Optional[int] = None, user=Depends(get_verified_user) +): + if page is None: + page = 1 + + limit = 60 + skip = (page - 1) * limit + + chat_list = [ + ChatTitleIdResponse(**chat.model_dump()) + for chat in Chats.get_chats_by_user_id_and_search_text( + user.id, text, skip=skip, limit=limit + ) + ] + + # Delete tag if no chat is found + words = text.strip().split(" ") + if page == 1 and len(words) == 1 and words[0].startswith("tag:"): + tag_id = words[0].replace("tag:", "") + if len(chat_list) == 0: + if Tags.get_tag_by_name_and_user_id(tag_id, user.id): + log.debug(f"deleting tag: {tag_id}") + Tags.delete_tag_by_name_and_user_id(tag_id, user.id) + + return chat_list + + +############################ +# GetChatsByFolderId +############################ + + +@router.get("/folder/{folder_id}", response_model=list[ChatResponse]) +async def get_chats_by_folder_id(folder_id: str, user=Depends(get_verified_user)): + folder_ids = [folder_id] + children_folders = Folders.get_children_folders_by_id_and_user_id( + folder_id, user.id + ) + if children_folders: + folder_ids.extend([folder.id for folder in children_folders]) + + return [ + ChatResponse(**chat.model_dump()) + for chat in Chats.get_chats_by_folder_ids_and_user_id(folder_ids, user.id) + ] + + +############################ +# GetPinnedChats +############################ + + +@router.get("/pinned", response_model=list[ChatResponse]) +async def get_user_pinned_chats(user=Depends(get_verified_user)): + return [ + ChatResponse(**chat.model_dump()) + for chat in Chats.get_pinned_chats_by_user_id(user.id) + ] + + +############################ +# GetChats +############################ + + +@router.get("/all", response_model=list[ChatResponse]) +async def get_user_chats(user=Depends(get_verified_user)): + return [ + ChatResponse(**chat.model_dump()) + for chat in Chats.get_chats_by_user_id(user.id) + ] + + +############################ +# GetArchivedChats +############################ + + +@router.get("/all/archived", response_model=list[ChatResponse]) +async def get_user_archived_chats(user=Depends(get_verified_user)): + return [ + ChatResponse(**chat.model_dump()) + for chat in Chats.get_archived_chats_by_user_id(user.id) + ] + + +############################ +# GetAllTags +############################ + + +@router.get("/all/tags", response_model=list[TagModel]) +async def get_all_user_tags(user=Depends(get_verified_user)): + try: + tags = Tags.get_tags_by_user_id(user.id) + return tags + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# GetAllChatsInDB +############################ + + +@router.get("/all/db", response_model=list[ChatResponse]) +async def get_all_user_chats_in_db(user=Depends(get_admin_user)): + if not ENABLE_ADMIN_EXPORT: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + return [ChatResponse(**chat.model_dump()) for chat in Chats.get_chats()] + + +############################ +# GetArchivedChats +############################ + + +@router.get("/archived", response_model=list[ChatTitleIdResponse]) +async def get_archived_session_user_chat_list( + user=Depends(get_verified_user), skip: int = 0, limit: int = 50 +): + return Chats.get_archived_chat_list_by_user_id(user.id, skip, limit) + + +############################ +# ArchiveAllChats +############################ + + +@router.post("/archive/all", response_model=bool) +async def archive_all_chats(user=Depends(get_verified_user)): + return Chats.archive_all_chats_by_user_id(user.id) + + +############################ +# GetSharedChatById +############################ + + +@router.get("/share/{share_id}", response_model=Optional[ChatResponse]) +async def get_shared_chat_by_id(share_id: str, user=Depends(get_verified_user)): + if user.role == "pending": + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND + ) + + if user.role == "user" or (user.role == "admin" and not ENABLE_ADMIN_CHAT_ACCESS): + chat = Chats.get_chat_by_share_id(share_id) + elif user.role == "admin" and ENABLE_ADMIN_CHAT_ACCESS: + chat = Chats.get_chat_by_id(share_id) + + if chat: + return ChatResponse(**chat.model_dump()) + + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND + ) + + +############################ +# GetChatsByTags +############################ + + +class TagForm(BaseModel): + name: str + + +class TagFilterForm(TagForm): + skip: Optional[int] = 0 + limit: Optional[int] = 50 + + +@router.post("/tags", response_model=list[ChatTitleIdResponse]) +async def get_user_chat_list_by_tag_name( + form_data: TagFilterForm, user=Depends(get_verified_user) +): + chats = Chats.get_chat_list_by_user_id_and_tag_name( + user.id, form_data.name, form_data.skip, form_data.limit + ) + if len(chats) == 0: + Tags.delete_tag_by_name_and_user_id(form_data.name, user.id) + + return chats + + +############################ +# GetChatById +############################ + + +@router.get("/{id}", response_model=Optional[ChatResponse]) +async def get_chat_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + + if chat: + return ChatResponse(**chat.model_dump()) + + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND + ) + + +############################ +# UpdateChatById +############################ + + +@router.post("/{id}", response_model=Optional[ChatResponse]) +async def update_chat_by_id( + id: str, form_data: ChatForm, user=Depends(get_verified_user) +): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + updated_chat = {**chat.chat, **form_data.chat} + chat = Chats.update_chat_by_id(id, updated_chat) + return ChatResponse(**chat.model_dump()) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + + +############################ +# DeleteChatById +############################ + + +@router.delete("/{id}", response_model=bool) +async def delete_chat_by_id(request: Request, id: str, user=Depends(get_verified_user)): + if user.role == "admin": + chat = Chats.get_chat_by_id(id) + for tag in chat.meta.get("tags", []): + if Chats.count_chats_by_tag_name_and_user_id(tag, user.id) == 1: + Tags.delete_tag_by_name_and_user_id(tag, user.id) + + result = Chats.delete_chat_by_id(id) + + return result + else: + if not request.app.state.config.USER_PERMISSIONS.get("chat", {}).get( + "deletion", {} + ): + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + + chat = Chats.get_chat_by_id(id) + for tag in chat.meta.get("tags", []): + if Chats.count_chats_by_tag_name_and_user_id(tag, user.id) == 1: + Tags.delete_tag_by_name_and_user_id(tag, user.id) + + result = Chats.delete_chat_by_id_and_user_id(id, user.id) + return result + + +############################ +# GetPinnedStatusById +############################ + + +@router.get("/{id}/pinned", response_model=Optional[bool]) +async def get_pinned_status_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + return chat.pinned + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# PinChatById +############################ + + +@router.post("/{id}/pin", response_model=Optional[ChatResponse]) +async def pin_chat_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + chat = Chats.toggle_chat_pinned_by_id(id) + return chat + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# CloneChat +############################ + + +@router.post("/{id}/clone", response_model=Optional[ChatResponse]) +async def clone_chat_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + updated_chat = { + **chat.chat, + "originalChatId": chat.id, + "branchPointMessageId": chat.chat["history"]["currentId"], + "title": f"Clone of {chat.title}", + } + + chat = Chats.insert_new_chat(user.id, ChatForm(**{"chat": updated_chat})) + return ChatResponse(**chat.model_dump()) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# ArchiveChat +############################ + + +@router.post("/{id}/archive", response_model=Optional[ChatResponse]) +async def archive_chat_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + chat = Chats.toggle_chat_archive_by_id(id) + + # Delete tags if chat is archived + if chat.archived: + for tag_id in chat.meta.get("tags", []): + if Chats.count_chats_by_tag_name_and_user_id(tag_id, user.id) == 0: + log.debug(f"deleting tag: {tag_id}") + Tags.delete_tag_by_name_and_user_id(tag_id, user.id) + else: + for tag_id in chat.meta.get("tags", []): + tag = Tags.get_tag_by_name_and_user_id(tag_id, user.id) + if tag is None: + log.debug(f"inserting tag: {tag_id}") + tag = Tags.insert_new_tag(tag_id, user.id) + + return ChatResponse(**chat.model_dump()) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# ShareChatById +############################ + + +@router.post("/{id}/share", response_model=Optional[ChatResponse]) +async def share_chat_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + if chat.share_id: + shared_chat = Chats.update_shared_chat_by_chat_id(chat.id) + return ChatResponse(**shared_chat.model_dump()) + + shared_chat = Chats.insert_shared_chat_by_chat_id(chat.id) + if not shared_chat: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=ERROR_MESSAGES.DEFAULT(), + ) + return ChatResponse(**shared_chat.model_dump()) + + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + + +############################ +# DeletedSharedChatById +############################ + + +@router.delete("/{id}/share", response_model=Optional[bool]) +async def delete_shared_chat_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + if not chat.share_id: + return False + + result = Chats.delete_shared_chat_by_chat_id(id) + update_result = Chats.update_chat_share_id_by_id(id, None) + + return result and update_result != None + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + + +############################ +# UpdateChatFolderIdById +############################ + + +class ChatFolderIdForm(BaseModel): + folder_id: Optional[str] = None + + +@router.post("/{id}/folder", response_model=Optional[ChatResponse]) +async def update_chat_folder_id_by_id( + id: str, form_data: ChatFolderIdForm, user=Depends(get_verified_user) +): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + chat = Chats.update_chat_folder_id_by_id_and_user_id( + id, user.id, form_data.folder_id + ) + return ChatResponse(**chat.model_dump()) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# GetChatTagsById +############################ + + +@router.get("/{id}/tags", response_model=list[TagModel]) +async def get_chat_tags_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + tags = chat.meta.get("tags", []) + return Tags.get_tags_by_ids_and_user_id(tags, user.id) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND + ) + + +############################ +# AddChatTagById +############################ + + +@router.post("/{id}/tags", response_model=list[TagModel]) +async def add_tag_by_id_and_tag_name( + id: str, form_data: TagForm, user=Depends(get_verified_user) +): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + tags = chat.meta.get("tags", []) + tag_id = form_data.name.replace(" ", "_").lower() + + if tag_id == "none": + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Tag name cannot be 'None'"), + ) + + print(tags, tag_id) + if tag_id not in tags: + Chats.add_chat_tag_by_id_and_user_id_and_tag_name( + id, user.id, form_data.name + ) + + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + tags = chat.meta.get("tags", []) + return Tags.get_tags_by_ids_and_user_id(tags, user.id) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT() + ) + + +############################ +# DeleteChatTagById +############################ + + +@router.delete("/{id}/tags", response_model=list[TagModel]) +async def delete_tag_by_id_and_tag_name( + id: str, form_data: TagForm, user=Depends(get_verified_user) +): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + Chats.delete_tag_by_id_and_user_id_and_tag_name(id, user.id, form_data.name) + + if Chats.count_chats_by_tag_name_and_user_id(form_data.name, user.id) == 0: + Tags.delete_tag_by_name_and_user_id(form_data.name, user.id) + + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + tags = chat.meta.get("tags", []) + return Tags.get_tags_by_ids_and_user_id(tags, user.id) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND + ) + + +############################ +# DeleteAllTagsById +############################ + + +@router.delete("/{id}/tags/all", response_model=Optional[bool]) +async def delete_all_tags_by_id(id: str, user=Depends(get_verified_user)): + chat = Chats.get_chat_by_id_and_user_id(id, user.id) + if chat: + Chats.delete_all_tags_by_id_and_user_id(id, user.id) + + for tag in chat.meta.get("tags", []): + if Chats.count_chats_by_tag_name_and_user_id(tag, user.id) == 0: + Tags.delete_tag_by_name_and_user_id(tag, user.id) + + return True + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND + ) diff --git a/backend/open_webui/apps/webui/routers/configs.py b/backend/open_webui/apps/webui/routers/configs.py new file mode 100644 index 0000000000000000000000000000000000000000..1c30b0b3bb85f76a01920d59353e544f23d8dbe2 --- /dev/null +++ b/backend/open_webui/apps/webui/routers/configs.py @@ -0,0 +1,99 @@ +from open_webui.config import BannerModel +from fastapi import APIRouter, Depends, Request +from pydantic import BaseModel +from open_webui.utils.utils import get_admin_user, get_verified_user + + +from open_webui.config import get_config, save_config + +router = APIRouter() + + +############################ +# ImportConfig +############################ + + +class ImportConfigForm(BaseModel): + config: dict + + +@router.post("/import", response_model=dict) +async def import_config(form_data: ImportConfigForm, user=Depends(get_admin_user)): + save_config(form_data.config) + return get_config() + + +############################ +# ExportConfig +############################ + + +@router.get("/export", response_model=dict) +async def export_config(user=Depends(get_admin_user)): + return get_config() + + +class SetDefaultModelsForm(BaseModel): + models: str + + +class PromptSuggestion(BaseModel): + title: list[str] + content: str + + +class SetDefaultSuggestionsForm(BaseModel): + suggestions: list[PromptSuggestion] + + +############################ +# SetDefaultModels +############################ + + +@router.post("/default/models", response_model=str) +async def set_global_default_models( + request: Request, form_data: SetDefaultModelsForm, user=Depends(get_admin_user) +): + request.app.state.config.DEFAULT_MODELS = form_data.models + return request.app.state.config.DEFAULT_MODELS + + +@router.post("/default/suggestions", response_model=list[PromptSuggestion]) +async def set_global_default_suggestions( + request: Request, + form_data: SetDefaultSuggestionsForm, + user=Depends(get_admin_user), +): + data = form_data.model_dump() + request.app.state.config.DEFAULT_PROMPT_SUGGESTIONS = data["suggestions"] + return request.app.state.config.DEFAULT_PROMPT_SUGGESTIONS + + +############################ +# SetBanners +############################ + + +class SetBannersForm(BaseModel): + banners: list[BannerModel] + + +@router.post("/banners", response_model=list[BannerModel]) +async def set_banners( + request: Request, + form_data: SetBannersForm, + user=Depends(get_admin_user), +): + data = form_data.model_dump() + request.app.state.config.BANNERS = data["banners"] + return request.app.state.config.BANNERS + + +@router.get("/banners", response_model=list[BannerModel]) +async def get_banners( + request: Request, + user=Depends(get_verified_user), +): + return request.app.state.config.BANNERS diff --git a/backend/open_webui/apps/webui/routers/documents.py b/backend/open_webui/apps/webui/routers/documents.py new file mode 100644 index 0000000000000000000000000000000000000000..c8f27852f4e25dcce304f1f95e26cfd5c63a3c4b --- /dev/null +++ b/backend/open_webui/apps/webui/routers/documents.py @@ -0,0 +1,155 @@ +import json +from typing import Optional + +from open_webui.apps.webui.models.documents import ( + DocumentForm, + DocumentResponse, + Documents, + DocumentUpdateForm, +) +from open_webui.constants import ERROR_MESSAGES +from fastapi import APIRouter, Depends, HTTPException, status +from pydantic import BaseModel +from open_webui.utils.utils import get_admin_user, get_verified_user + +router = APIRouter() + +############################ +# GetDocuments +############################ + + +@router.get("/", response_model=list[DocumentResponse]) +async def get_documents(user=Depends(get_verified_user)): + docs = [ + DocumentResponse( + **{ + **doc.model_dump(), + "content": json.loads(doc.content if doc.content else "{}"), + } + ) + for doc in Documents.get_docs() + ] + return docs + + +############################ +# CreateNewDoc +############################ + + +@router.post("/create", response_model=Optional[DocumentResponse]) +async def create_new_doc(form_data: DocumentForm, user=Depends(get_admin_user)): + doc = Documents.get_doc_by_name(form_data.name) + if doc is None: + doc = Documents.insert_new_doc(user.id, form_data) + + if doc: + return DocumentResponse( + **{ + **doc.model_dump(), + "content": json.loads(doc.content if doc.content else "{}"), + } + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.FILE_EXISTS, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NAME_TAG_TAKEN, + ) + + +############################ +# GetDocByName +############################ + + +@router.get("/doc", response_model=Optional[DocumentResponse]) +async def get_doc_by_name(name: str, user=Depends(get_verified_user)): + doc = Documents.get_doc_by_name(name) + + if doc: + return DocumentResponse( + **{ + **doc.model_dump(), + "content": json.loads(doc.content if doc.content else "{}"), + } + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# TagDocByName +############################ + + +class TagItem(BaseModel): + name: str + + +class TagDocumentForm(BaseModel): + name: str + tags: list[dict] + + +@router.post("/doc/tags", response_model=Optional[DocumentResponse]) +async def tag_doc_by_name(form_data: TagDocumentForm, user=Depends(get_verified_user)): + doc = Documents.update_doc_content_by_name(form_data.name, {"tags": form_data.tags}) + + if doc: + return DocumentResponse( + **{ + **doc.model_dump(), + "content": json.loads(doc.content if doc.content else "{}"), + } + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdateDocByName +############################ + + +@router.post("/doc/update", response_model=Optional[DocumentResponse]) +async def update_doc_by_name( + name: str, + form_data: DocumentUpdateForm, + user=Depends(get_admin_user), +): + doc = Documents.update_doc_by_name(name, form_data) + if doc: + return DocumentResponse( + **{ + **doc.model_dump(), + "content": json.loads(doc.content if doc.content else "{}"), + } + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NAME_TAG_TAKEN, + ) + + +############################ +# DeleteDocByName +############################ + + +@router.delete("/doc/delete", response_model=bool) +async def delete_doc_by_name(name: str, user=Depends(get_admin_user)): + result = Documents.delete_doc_by_name(name) + return result diff --git a/backend/open_webui/apps/webui/routers/evaluations.py b/backend/open_webui/apps/webui/routers/evaluations.py new file mode 100644 index 0000000000000000000000000000000000000000..b9e3bff29bfc9da372e3b5ac52d1cf3892181a99 --- /dev/null +++ b/backend/open_webui/apps/webui/routers/evaluations.py @@ -0,0 +1,159 @@ +from typing import Optional +from fastapi import APIRouter, Depends, HTTPException, status, Request +from pydantic import BaseModel + +from open_webui.apps.webui.models.users import Users, UserModel +from open_webui.apps.webui.models.feedbacks import ( + FeedbackModel, + FeedbackResponse, + FeedbackForm, + Feedbacks, +) + +from open_webui.constants import ERROR_MESSAGES +from open_webui.utils.utils import get_admin_user, get_verified_user + +router = APIRouter() + + +############################ +# GetConfig +############################ + + +@router.get("/config") +async def get_config(request: Request, user=Depends(get_admin_user)): + return { + "ENABLE_EVALUATION_ARENA_MODELS": request.app.state.config.ENABLE_EVALUATION_ARENA_MODELS, + "EVALUATION_ARENA_MODELS": request.app.state.config.EVALUATION_ARENA_MODELS, + } + + +############################ +# UpdateConfig +############################ + + +class UpdateConfigForm(BaseModel): + ENABLE_EVALUATION_ARENA_MODELS: Optional[bool] = None + EVALUATION_ARENA_MODELS: Optional[list[dict]] = None + + +@router.post("/config") +async def update_config( + request: Request, + form_data: UpdateConfigForm, + user=Depends(get_admin_user), +): + config = request.app.state.config + if form_data.ENABLE_EVALUATION_ARENA_MODELS is not None: + config.ENABLE_EVALUATION_ARENA_MODELS = form_data.ENABLE_EVALUATION_ARENA_MODELS + if form_data.EVALUATION_ARENA_MODELS is not None: + config.EVALUATION_ARENA_MODELS = form_data.EVALUATION_ARENA_MODELS + return { + "ENABLE_EVALUATION_ARENA_MODELS": config.ENABLE_EVALUATION_ARENA_MODELS, + "EVALUATION_ARENA_MODELS": config.EVALUATION_ARENA_MODELS, + } + + +class FeedbackUserResponse(FeedbackResponse): + user: Optional[UserModel] = None + + +@router.get("/feedbacks/all", response_model=list[FeedbackUserResponse]) +async def get_all_feedbacks(user=Depends(get_admin_user)): + feedbacks = Feedbacks.get_all_feedbacks() + return [ + FeedbackUserResponse( + **feedback.model_dump(), user=Users.get_user_by_id(feedback.user_id) + ) + for feedback in feedbacks + ] + + +@router.delete("/feedbacks/all") +async def delete_all_feedbacks(user=Depends(get_admin_user)): + success = Feedbacks.delete_all_feedbacks() + return success + + +@router.get("/feedbacks/all/export", response_model=list[FeedbackModel]) +async def get_all_feedbacks(user=Depends(get_admin_user)): + feedbacks = Feedbacks.get_all_feedbacks() + return [ + FeedbackModel( + **feedback.model_dump(), user=Users.get_user_by_id(feedback.user_id) + ) + for feedback in feedbacks + ] + + +@router.get("/feedbacks/user", response_model=list[FeedbackUserResponse]) +async def get_feedbacks(user=Depends(get_verified_user)): + feedbacks = Feedbacks.get_feedbacks_by_user_id(user.id) + return feedbacks + + +@router.delete("/feedbacks", response_model=bool) +async def delete_feedbacks(user=Depends(get_verified_user)): + success = Feedbacks.delete_feedbacks_by_user_id(user.id) + return success + + +@router.post("/feedback", response_model=FeedbackModel) +async def create_feedback( + request: Request, + form_data: FeedbackForm, + user=Depends(get_verified_user), +): + feedback = Feedbacks.insert_new_feedback(user_id=user.id, form_data=form_data) + if not feedback: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(), + ) + + return feedback + + +@router.get("/feedback/{id}", response_model=FeedbackModel) +async def get_feedback_by_id(id: str, user=Depends(get_verified_user)): + feedback = Feedbacks.get_feedback_by_id_and_user_id(id=id, user_id=user.id) + + if not feedback: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, detail=ERROR_MESSAGES.NOT_FOUND + ) + + return feedback + + +@router.post("/feedback/{id}", response_model=FeedbackModel) +async def update_feedback_by_id( + id: str, form_data: FeedbackForm, user=Depends(get_verified_user) +): + feedback = Feedbacks.update_feedback_by_id_and_user_id( + id=id, user_id=user.id, form_data=form_data + ) + + if not feedback: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, detail=ERROR_MESSAGES.NOT_FOUND + ) + + return feedback + + +@router.delete("/feedback/{id}") +async def delete_feedback_by_id(id: str, user=Depends(get_verified_user)): + if user.role == "admin": + success = Feedbacks.delete_feedback_by_id(id=id) + else: + success = Feedbacks.delete_feedback_by_id_and_user_id(id=id, user_id=user.id) + + if not success: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, detail=ERROR_MESSAGES.NOT_FOUND + ) + + return success diff --git a/backend/open_webui/apps/webui/routers/files.py b/backend/open_webui/apps/webui/routers/files.py new file mode 100644 index 0000000000000000000000000000000000000000..b8695eb67255afd27588d40363e957b97c92920d --- /dev/null +++ b/backend/open_webui/apps/webui/routers/files.py @@ -0,0 +1,349 @@ +import logging +import os +import uuid +from pathlib import Path +from typing import Optional +from pydantic import BaseModel +import mimetypes + +from open_webui.storage.provider import Storage + +from open_webui.apps.webui.models.files import ( + FileForm, + FileModel, + FileModelResponse, + Files, +) +from open_webui.apps.retrieval.main import process_file, ProcessFileForm + +from open_webui.config import UPLOAD_DIR +from open_webui.env import SRC_LOG_LEVELS +from open_webui.constants import ERROR_MESSAGES + + +from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status +from fastapi.responses import FileResponse, StreamingResponse + + +from open_webui.utils.utils import get_admin_user, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + + +router = APIRouter() + +############################ +# Upload File +############################ + + +@router.post("/", response_model=FileModelResponse) +def upload_file(file: UploadFile = File(...), user=Depends(get_verified_user)): + log.info(f"file.content_type: {file.content_type}") + try: + unsanitized_filename = file.filename + filename = os.path.basename(unsanitized_filename) + + # replace filename with uuid + id = str(uuid.uuid4()) + name = filename + filename = f"{id}_{filename}" + contents, file_path = Storage.upload_file(file.file, filename) + + file_item = Files.insert_new_file( + user.id, + FileForm( + **{ + "id": id, + "filename": filename, + "path": file_path, + "meta": { + "name": name, + "content_type": file.content_type, + "size": len(contents), + }, + } + ), + ) + + try: + process_file(ProcessFileForm(file_id=id)) + file_item = Files.get_file_by_id(id=id) + except Exception as e: + log.exception(e) + log.error(f"Error processing file: {file_item.id}") + file_item = FileModelResponse( + **{ + **file_item.model_dump(), + "error": str(e.detail) if hasattr(e, "detail") else str(e), + } + ) + + if file_item: + return file_item + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error uploading file"), + ) + + except Exception as e: + log.exception(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +############################ +# List Files +############################ + + +@router.get("/", response_model=list[FileModelResponse]) +async def list_files(user=Depends(get_verified_user)): + if user.role == "admin": + files = Files.get_files() + else: + files = Files.get_files_by_user_id(user.id) + return files + + +############################ +# Delete All Files +############################ + + +@router.delete("/all") +async def delete_all_files(user=Depends(get_admin_user)): + result = Files.delete_all_files() + if result: + try: + Storage.delete_all_files() + except Exception as e: + log.exception(e) + log.error(f"Error deleting files") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error deleting files"), + ) + return {"message": "All files deleted successfully"} + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error deleting files"), + ) + + +############################ +# Get File By Id +############################ + + +@router.get("/{id}", response_model=Optional[FileModel]) +async def get_file_by_id(id: str, user=Depends(get_verified_user)): + file = Files.get_file_by_id(id) + + if file and (file.user_id == user.id or user.role == "admin"): + return file + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Get File Data Content By Id +############################ + + +@router.get("/{id}/data/content") +async def get_file_data_content_by_id(id: str, user=Depends(get_verified_user)): + file = Files.get_file_by_id(id) + + if file and (file.user_id == user.id or user.role == "admin"): + return {"content": file.data.get("content", "")} + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Update File Data Content By Id +############################ + + +class ContentForm(BaseModel): + content: str + + +@router.post("/{id}/data/content/update") +async def update_file_data_content_by_id( + id: str, form_data: ContentForm, user=Depends(get_verified_user) +): + file = Files.get_file_by_id(id) + + if file and (file.user_id == user.id or user.role == "admin"): + try: + process_file(ProcessFileForm(file_id=id, content=form_data.content)) + file = Files.get_file_by_id(id=id) + except Exception as e: + log.exception(e) + log.error(f"Error processing file: {file.id}") + + return {"content": file.data.get("content", "")} + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Get File Content By Id +############################ + + +@router.get("/{id}/content") +async def get_file_content_by_id(id: str, user=Depends(get_verified_user)): + file = Files.get_file_by_id(id) + if file and (file.user_id == user.id or user.role == "admin"): + try: + file_path = Storage.get_file(file.path) + file_path = Path(file_path) + + # Check if the file already exists in the cache + if file_path.is_file(): + print(f"file_path: {file_path}") + headers = { + "Content-Disposition": f'attachment; filename="{file.meta.get("name", file.filename)}"' + } + return FileResponse(file_path, headers=headers) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + except Exception as e: + log.exception(e) + log.error(f"Error getting file content") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error getting file content"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.get("/{id}/content/html") +async def get_html_file_content_by_id(id: str, user=Depends(get_verified_user)): + file = Files.get_file_by_id(id) + if file and (file.user_id == user.id or user.role == "admin"): + try: + file_path = Storage.get_file(file.path) + file_path = Path(file_path) + + # Check if the file already exists in the cache + if file_path.is_file(): + print(f"file_path: {file_path}") + return FileResponse(file_path) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + except Exception as e: + log.exception(e) + log.error(f"Error getting file content") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error getting file content"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.get("/{id}/content/{file_name}") +async def get_file_content_by_id(id: str, user=Depends(get_verified_user)): + file = Files.get_file_by_id(id) + + if file and (file.user_id == user.id or user.role == "admin"): + file_path = file.path + if file_path: + file_path = Storage.get_file(file_path) + file_path = Path(file_path) + + # Check if the file already exists in the cache + if file_path.is_file(): + print(f"file_path: {file_path}") + headers = { + "Content-Disposition": f'attachment; filename="{file.meta.get("name", file.filename)}"' + } + return FileResponse(file_path, headers=headers) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + else: + # File path doesn’t exist, return the content as .txt if possible + file_content = file.content.get("content", "") + file_name = file.filename + + # Create a generator that encodes the file content + def generator(): + yield file_content.encode("utf-8") + + return StreamingResponse( + generator(), + media_type="text/plain", + headers={"Content-Disposition": f"attachment; filename={file_name}"}, + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Delete File By Id +############################ + + +@router.delete("/{id}") +async def delete_file_by_id(id: str, user=Depends(get_verified_user)): + file = Files.get_file_by_id(id) + if file and (file.user_id == user.id or user.role == "admin"): + result = Files.delete_file_by_id(id) + if result: + try: + Storage.delete_file(file.filename) + except Exception as e: + log.exception(e) + log.error(f"Error deleting files") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error deleting files"), + ) + return {"message": "File deleted successfully"} + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error deleting file"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) diff --git a/backend/open_webui/apps/webui/routers/folders.py b/backend/open_webui/apps/webui/routers/folders.py new file mode 100644 index 0000000000000000000000000000000000000000..36075c357bfc6d6892f284823e378eb6e49b989f --- /dev/null +++ b/backend/open_webui/apps/webui/routers/folders.py @@ -0,0 +1,251 @@ +import logging +import os +import shutil +import uuid +from pathlib import Path +from typing import Optional +from pydantic import BaseModel +import mimetypes + + +from open_webui.apps.webui.models.folders import ( + FolderForm, + FolderModel, + Folders, +) +from open_webui.apps.webui.models.chats import Chats + +from open_webui.config import UPLOAD_DIR +from open_webui.env import SRC_LOG_LEVELS +from open_webui.constants import ERROR_MESSAGES + + +from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status +from fastapi.responses import FileResponse, StreamingResponse + + +from open_webui.utils.utils import get_admin_user, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + + +router = APIRouter() + + +############################ +# Get Folders +############################ + + +@router.get("/", response_model=list[FolderModel]) +async def get_folders(user=Depends(get_verified_user)): + folders = Folders.get_folders_by_user_id(user.id) + + return [ + { + **folder.model_dump(), + "items": { + "chats": [ + {"title": chat.title, "id": chat.id} + for chat in Chats.get_chats_by_folder_id_and_user_id( + folder.id, user.id + ) + ] + }, + } + for folder in folders + ] + + +############################ +# Create Folder +############################ + + +@router.post("/") +def create_folder(form_data: FolderForm, user=Depends(get_verified_user)): + folder = Folders.get_folder_by_parent_id_and_user_id_and_name( + None, user.id, form_data.name + ) + + if folder: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Folder already exists"), + ) + + try: + folder = Folders.insert_new_folder(user.id, form_data.name) + return folder + except Exception as e: + log.exception(e) + log.error("Error creating folder") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error creating folder"), + ) + + +############################ +# Get Folders By Id +############################ + + +@router.get("/{id}", response_model=Optional[FolderModel]) +async def get_folder_by_id(id: str, user=Depends(get_verified_user)): + folder = Folders.get_folder_by_id_and_user_id(id, user.id) + if folder: + return folder + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Update Folder Name By Id +############################ + + +@router.post("/{id}/update") +async def update_folder_name_by_id( + id: str, form_data: FolderForm, user=Depends(get_verified_user) +): + folder = Folders.get_folder_by_id_and_user_id(id, user.id) + if folder: + existing_folder = Folders.get_folder_by_parent_id_and_user_id_and_name( + folder.parent_id, user.id, form_data.name + ) + if existing_folder: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Folder already exists"), + ) + + try: + folder = Folders.update_folder_name_by_id_and_user_id( + id, user.id, form_data.name + ) + + return folder + except Exception as e: + log.exception(e) + log.error(f"Error updating folder: {id}") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating folder"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Update Folder Parent Id By Id +############################ + + +class FolderParentIdForm(BaseModel): + parent_id: Optional[str] = None + + +@router.post("/{id}/update/parent") +async def update_folder_parent_id_by_id( + id: str, form_data: FolderParentIdForm, user=Depends(get_verified_user) +): + folder = Folders.get_folder_by_id_and_user_id(id, user.id) + if folder: + existing_folder = Folders.get_folder_by_parent_id_and_user_id_and_name( + form_data.parent_id, user.id, folder.name + ) + + if existing_folder: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Folder already exists"), + ) + + try: + folder = Folders.update_folder_parent_id_by_id_and_user_id( + id, user.id, form_data.parent_id + ) + return folder + except Exception as e: + log.exception(e) + log.error(f"Error updating folder: {id}") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating folder"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Update Folder Is Expanded By Id +############################ + + +class FolderIsExpandedForm(BaseModel): + is_expanded: bool + + +@router.post("/{id}/update/expanded") +async def update_folder_is_expanded_by_id( + id: str, form_data: FolderIsExpandedForm, user=Depends(get_verified_user) +): + folder = Folders.get_folder_by_id_and_user_id(id, user.id) + if folder: + try: + folder = Folders.update_folder_is_expanded_by_id_and_user_id( + id, user.id, form_data.is_expanded + ) + return folder + except Exception as e: + log.exception(e) + log.error(f"Error updating folder: {id}") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating folder"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# Delete Folder By Id +############################ + + +@router.delete("/{id}") +async def delete_folder_by_id(id: str, user=Depends(get_verified_user)): + folder = Folders.get_folder_by_id_and_user_id(id, user.id) + if folder: + try: + result = Folders.delete_folder_by_id_and_user_id(id, user.id) + if result: + return result + else: + raise Exception("Error deleting folder") + except Exception as e: + log.exception(e) + log.error(f"Error deleting folder: {id}") + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error deleting folder"), + ) + else: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=ERROR_MESSAGES.NOT_FOUND, + ) diff --git a/backend/open_webui/apps/webui/routers/functions.py b/backend/open_webui/apps/webui/routers/functions.py new file mode 100644 index 0000000000000000000000000000000000000000..aeaceecfb101e103cad71c693b404c744ecf733f --- /dev/null +++ b/backend/open_webui/apps/webui/routers/functions.py @@ -0,0 +1,405 @@ +import os +from pathlib import Path +from typing import Optional + +from open_webui.apps.webui.models.functions import ( + FunctionForm, + FunctionModel, + FunctionResponse, + Functions, +) +from open_webui.apps.webui.utils import load_function_module_by_id, replace_imports +from open_webui.config import CACHE_DIR +from open_webui.constants import ERROR_MESSAGES +from fastapi import APIRouter, Depends, HTTPException, Request, status +from open_webui.utils.utils import get_admin_user, get_verified_user + +router = APIRouter() + +############################ +# GetFunctions +############################ + + +@router.get("/", response_model=list[FunctionResponse]) +async def get_functions(user=Depends(get_verified_user)): + return Functions.get_functions() + + +############################ +# ExportFunctions +############################ + + +@router.get("/export", response_model=list[FunctionModel]) +async def get_functions(user=Depends(get_admin_user)): + return Functions.get_functions() + + +############################ +# CreateNewFunction +############################ + + +@router.post("/create", response_model=Optional[FunctionResponse]) +async def create_new_function( + request: Request, form_data: FunctionForm, user=Depends(get_admin_user) +): + if not form_data.id.isidentifier(): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Only alphanumeric characters and underscores are allowed in the id", + ) + + form_data.id = form_data.id.lower() + + function = Functions.get_function_by_id(form_data.id) + if function is None: + try: + form_data.content = replace_imports(form_data.content) + function_module, function_type, frontmatter = load_function_module_by_id( + form_data.id, + content=form_data.content, + ) + form_data.meta.manifest = frontmatter + + FUNCTIONS = request.app.state.FUNCTIONS + FUNCTIONS[form_data.id] = function_module + + function = Functions.insert_new_function(user.id, function_type, form_data) + + function_cache_dir = Path(CACHE_DIR) / "functions" / form_data.id + function_cache_dir.mkdir(parents=True, exist_ok=True) + + if function: + return function + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error creating function"), + ) + except Exception as e: + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.ID_TAKEN, + ) + + +############################ +# GetFunctionById +############################ + + +@router.get("/id/{id}", response_model=Optional[FunctionModel]) +async def get_function_by_id(id: str, user=Depends(get_admin_user)): + function = Functions.get_function_by_id(id) + + if function: + return function + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# ToggleFunctionById +############################ + + +@router.post("/id/{id}/toggle", response_model=Optional[FunctionModel]) +async def toggle_function_by_id(id: str, user=Depends(get_admin_user)): + function = Functions.get_function_by_id(id) + if function: + function = Functions.update_function_by_id( + id, {"is_active": not function.is_active} + ) + + if function: + return function + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating function"), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# ToggleGlobalById +############################ + + +@router.post("/id/{id}/toggle/global", response_model=Optional[FunctionModel]) +async def toggle_global_by_id(id: str, user=Depends(get_admin_user)): + function = Functions.get_function_by_id(id) + if function: + function = Functions.update_function_by_id( + id, {"is_global": not function.is_global} + ) + + if function: + return function + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating function"), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdateFunctionById +############################ + + +@router.post("/id/{id}/update", response_model=Optional[FunctionModel]) +async def update_function_by_id( + request: Request, id: str, form_data: FunctionForm, user=Depends(get_admin_user) +): + try: + form_data.content = replace_imports(form_data.content) + function_module, function_type, frontmatter = load_function_module_by_id( + id, content=form_data.content + ) + form_data.meta.manifest = frontmatter + + FUNCTIONS = request.app.state.FUNCTIONS + FUNCTIONS[id] = function_module + + updated = {**form_data.model_dump(exclude={"id"}), "type": function_type} + print(updated) + + function = Functions.update_function_by_id(id, updated) + + if function: + return function + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating function"), + ) + + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + + +############################ +# DeleteFunctionById +############################ + + +@router.delete("/id/{id}/delete", response_model=bool) +async def delete_function_by_id( + request: Request, id: str, user=Depends(get_admin_user) +): + result = Functions.delete_function_by_id(id) + + if result: + FUNCTIONS = request.app.state.FUNCTIONS + if id in FUNCTIONS: + del FUNCTIONS[id] + + return result + + +############################ +# GetFunctionValves +############################ + + +@router.get("/id/{id}/valves", response_model=Optional[dict]) +async def get_function_valves_by_id(id: str, user=Depends(get_admin_user)): + function = Functions.get_function_by_id(id) + if function: + try: + valves = Functions.get_function_valves_by_id(id) + return valves + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# GetFunctionValvesSpec +############################ + + +@router.get("/id/{id}/valves/spec", response_model=Optional[dict]) +async def get_function_valves_spec_by_id( + request: Request, id: str, user=Depends(get_admin_user) +): + function = Functions.get_function_by_id(id) + if function: + if id in request.app.state.FUNCTIONS: + function_module = request.app.state.FUNCTIONS[id] + else: + function_module, function_type, frontmatter = load_function_module_by_id(id) + request.app.state.FUNCTIONS[id] = function_module + + if hasattr(function_module, "Valves"): + Valves = function_module.Valves + return Valves.schema() + return None + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdateFunctionValves +############################ + + +@router.post("/id/{id}/valves/update", response_model=Optional[dict]) +async def update_function_valves_by_id( + request: Request, id: str, form_data: dict, user=Depends(get_admin_user) +): + function = Functions.get_function_by_id(id) + if function: + if id in request.app.state.FUNCTIONS: + function_module = request.app.state.FUNCTIONS[id] + else: + function_module, function_type, frontmatter = load_function_module_by_id(id) + request.app.state.FUNCTIONS[id] = function_module + + if hasattr(function_module, "Valves"): + Valves = function_module.Valves + + try: + form_data = {k: v for k, v in form_data.items() if v is not None} + valves = Valves(**form_data) + Functions.update_function_valves_by_id(id, valves.model_dump()) + return valves.model_dump() + except Exception as e: + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# FunctionUserValves +############################ + + +@router.get("/id/{id}/valves/user", response_model=Optional[dict]) +async def get_function_user_valves_by_id(id: str, user=Depends(get_verified_user)): + function = Functions.get_function_by_id(id) + if function: + try: + user_valves = Functions.get_user_valves_by_id_and_user_id(id, user.id) + return user_valves + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.get("/id/{id}/valves/user/spec", response_model=Optional[dict]) +async def get_function_user_valves_spec_by_id( + request: Request, id: str, user=Depends(get_verified_user) +): + function = Functions.get_function_by_id(id) + if function: + if id in request.app.state.FUNCTIONS: + function_module = request.app.state.FUNCTIONS[id] + else: + function_module, function_type, frontmatter = load_function_module_by_id(id) + request.app.state.FUNCTIONS[id] = function_module + + if hasattr(function_module, "UserValves"): + UserValves = function_module.UserValves + return UserValves.schema() + return None + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.post("/id/{id}/valves/user/update", response_model=Optional[dict]) +async def update_function_user_valves_by_id( + request: Request, id: str, form_data: dict, user=Depends(get_verified_user) +): + function = Functions.get_function_by_id(id) + + if function: + if id in request.app.state.FUNCTIONS: + function_module = request.app.state.FUNCTIONS[id] + else: + function_module, function_type, frontmatter = load_function_module_by_id(id) + request.app.state.FUNCTIONS[id] = function_module + + if hasattr(function_module, "UserValves"): + UserValves = function_module.UserValves + + try: + form_data = {k: v for k, v in form_data.items() if v is not None} + user_valves = UserValves(**form_data) + Functions.update_user_valves_by_id_and_user_id( + id, user.id, user_valves.model_dump() + ) + return user_valves.model_dump() + except Exception as e: + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(e), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) diff --git a/backend/open_webui/apps/webui/routers/knowledge.py b/backend/open_webui/apps/webui/routers/knowledge.py new file mode 100644 index 0000000000000000000000000000000000000000..1b5381a745bbe17779191662c74a9d090a5f353b --- /dev/null +++ b/backend/open_webui/apps/webui/routers/knowledge.py @@ -0,0 +1,381 @@ +import json +from typing import Optional, Union +from pydantic import BaseModel +from fastapi import APIRouter, Depends, HTTPException, status +import logging + +from open_webui.apps.webui.models.knowledge import ( + Knowledges, + KnowledgeUpdateForm, + KnowledgeForm, + KnowledgeResponse, +) +from open_webui.apps.webui.models.files import Files, FileModel +from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT +from open_webui.apps.retrieval.main import process_file, ProcessFileForm + + +from open_webui.constants import ERROR_MESSAGES +from open_webui.utils.utils import get_admin_user, get_verified_user +from open_webui.env import SRC_LOG_LEVELS + + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +router = APIRouter() + +############################ +# GetKnowledgeItems +############################ + + +@router.get( + "/", response_model=Optional[Union[list[KnowledgeResponse], KnowledgeResponse]] +) +async def get_knowledge_items( + id: Optional[str] = None, user=Depends(get_verified_user) +): + if id: + knowledge = Knowledges.get_knowledge_by_id(id=id) + + if knowledge: + return knowledge + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + else: + knowledge_bases = [] + + for knowledge in Knowledges.get_knowledge_items(): + + files = [] + if knowledge.data: + files = Files.get_file_metadatas_by_ids( + knowledge.data.get("file_ids", []) + ) + + # Check if all files exist + if len(files) != len(knowledge.data.get("file_ids", [])): + missing_files = list( + set(knowledge.data.get("file_ids", [])) + - set([file.id for file in files]) + ) + if missing_files: + data = knowledge.data or {} + file_ids = data.get("file_ids", []) + + for missing_file in missing_files: + file_ids.remove(missing_file) + + data["file_ids"] = file_ids + Knowledges.update_knowledge_by_id( + id=knowledge.id, form_data=KnowledgeUpdateForm(data=data) + ) + + files = Files.get_file_metadatas_by_ids(file_ids) + + knowledge_bases.append( + KnowledgeResponse( + **knowledge.model_dump(), + files=files, + ) + ) + return knowledge_bases + + +############################ +# CreateNewKnowledge +############################ + + +@router.post("/create", response_model=Optional[KnowledgeResponse]) +async def create_new_knowledge(form_data: KnowledgeForm, user=Depends(get_admin_user)): + knowledge = Knowledges.insert_new_knowledge(user.id, form_data) + + if knowledge: + return knowledge + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.FILE_EXISTS, + ) + + +############################ +# GetKnowledgeById +############################ + + +class KnowledgeFilesResponse(KnowledgeResponse): + files: list[FileModel] + + +@router.get("/{id}", response_model=Optional[KnowledgeFilesResponse]) +async def get_knowledge_by_id(id: str, user=Depends(get_verified_user)): + knowledge = Knowledges.get_knowledge_by_id(id=id) + + if knowledge: + file_ids = knowledge.data.get("file_ids", []) if knowledge.data else [] + files = Files.get_files_by_ids(file_ids) + + return KnowledgeFilesResponse( + **knowledge.model_dump(), + files=files, + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdateKnowledgeById +############################ + + +@router.post("/{id}/update", response_model=Optional[KnowledgeFilesResponse]) +async def update_knowledge_by_id( + id: str, + form_data: KnowledgeUpdateForm, + user=Depends(get_admin_user), +): + knowledge = Knowledges.update_knowledge_by_id(id=id, form_data=form_data) + + if knowledge: + file_ids = knowledge.data.get("file_ids", []) if knowledge.data else [] + files = Files.get_files_by_ids(file_ids) + + return KnowledgeFilesResponse( + **knowledge.model_dump(), + files=files, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.ID_TAKEN, + ) + + +############################ +# AddFileToKnowledge +############################ + + +class KnowledgeFileIdForm(BaseModel): + file_id: str + + +@router.post("/{id}/file/add", response_model=Optional[KnowledgeFilesResponse]) +def add_file_to_knowledge_by_id( + id: str, + form_data: KnowledgeFileIdForm, + user=Depends(get_admin_user), +): + knowledge = Knowledges.get_knowledge_by_id(id=id) + file = Files.get_file_by_id(form_data.file_id) + if not file: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + if not file.data: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.FILE_NOT_PROCESSED, + ) + + # Add content to the vector database + try: + process_file(ProcessFileForm(file_id=form_data.file_id, collection_name=id)) + except Exception as e: + log.debug(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) + + if knowledge: + data = knowledge.data or {} + file_ids = data.get("file_ids", []) + + if form_data.file_id not in file_ids: + file_ids.append(form_data.file_id) + data["file_ids"] = file_ids + + knowledge = Knowledges.update_knowledge_by_id( + id=id, form_data=KnowledgeUpdateForm(data=data) + ) + + if knowledge: + files = Files.get_files_by_ids(file_ids) + + return KnowledgeFilesResponse( + **knowledge.model_dump(), + files=files, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("knowledge"), + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("file_id"), + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.post("/{id}/file/update", response_model=Optional[KnowledgeFilesResponse]) +def update_file_from_knowledge_by_id( + id: str, + form_data: KnowledgeFileIdForm, + user=Depends(get_admin_user), +): + knowledge = Knowledges.get_knowledge_by_id(id=id) + file = Files.get_file_by_id(form_data.file_id) + if not file: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + # Remove content from the vector database + VECTOR_DB_CLIENT.delete( + collection_name=knowledge.id, filter={"file_id": form_data.file_id} + ) + + # Add content to the vector database + try: + process_file(ProcessFileForm(file_id=form_data.file_id, collection_name=id)) + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) + + if knowledge: + data = knowledge.data or {} + file_ids = data.get("file_ids", []) + + files = Files.get_files_by_ids(file_ids) + + return KnowledgeFilesResponse( + **knowledge.model_dump(), + files=files, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# RemoveFileFromKnowledge +############################ + + +@router.post("/{id}/file/remove", response_model=Optional[KnowledgeFilesResponse]) +def remove_file_from_knowledge_by_id( + id: str, + form_data: KnowledgeFileIdForm, + user=Depends(get_admin_user), +): + knowledge = Knowledges.get_knowledge_by_id(id=id) + file = Files.get_file_by_id(form_data.file_id) + if not file: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + # Remove content from the vector database + VECTOR_DB_CLIENT.delete( + collection_name=knowledge.id, filter={"file_id": form_data.file_id} + ) + + result = VECTOR_DB_CLIENT.query( + collection_name=knowledge.id, + filter={"file_id": form_data.file_id}, + ) + + Files.delete_file_by_id(form_data.file_id) + + if knowledge: + data = knowledge.data or {} + file_ids = data.get("file_ids", []) + + if form_data.file_id in file_ids: + file_ids.remove(form_data.file_id) + data["file_ids"] = file_ids + + knowledge = Knowledges.update_knowledge_by_id( + id=id, form_data=KnowledgeUpdateForm(data=data) + ) + + if knowledge: + files = Files.get_files_by_ids(file_ids) + + return KnowledgeFilesResponse( + **knowledge.model_dump(), + files=files, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("knowledge"), + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("file_id"), + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# ResetKnowledgeById +############################ + + +@router.post("/{id}/reset", response_model=Optional[KnowledgeResponse]) +async def reset_knowledge_by_id(id: str, user=Depends(get_admin_user)): + try: + VECTOR_DB_CLIENT.delete_collection(collection_name=id) + except Exception as e: + log.debug(e) + pass + + knowledge = Knowledges.update_knowledge_by_id( + id=id, form_data=KnowledgeUpdateForm(data={"file_ids": []}) + ) + return knowledge + + +############################ +# DeleteKnowledgeById +############################ + + +@router.delete("/{id}/delete", response_model=bool) +async def delete_knowledge_by_id(id: str, user=Depends(get_admin_user)): + try: + VECTOR_DB_CLIENT.delete_collection(collection_name=id) + except Exception as e: + log.debug(e) + pass + result = Knowledges.delete_knowledge_by_id(id=id) + return result diff --git a/backend/open_webui/apps/webui/routers/memories.py b/backend/open_webui/apps/webui/routers/memories.py new file mode 100644 index 0000000000000000000000000000000000000000..ccf84a9d4cb40b101ca9aa06574a79893817013a --- /dev/null +++ b/backend/open_webui/apps/webui/routers/memories.py @@ -0,0 +1,190 @@ +from fastapi import APIRouter, Depends, HTTPException, Request +from pydantic import BaseModel +import logging +from typing import Optional + +from open_webui.apps.webui.models.memories import Memories, MemoryModel +from open_webui.apps.retrieval.vector.connector import VECTOR_DB_CLIENT +from open_webui.utils.utils import get_verified_user +from open_webui.env import SRC_LOG_LEVELS + + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +router = APIRouter() + + +@router.get("/ef") +async def get_embeddings(request: Request): + return {"result": request.app.state.EMBEDDING_FUNCTION("hello world")} + + +############################ +# GetMemories +############################ + + +@router.get("/", response_model=list[MemoryModel]) +async def get_memories(user=Depends(get_verified_user)): + return Memories.get_memories_by_user_id(user.id) + + +############################ +# AddMemory +############################ + + +class AddMemoryForm(BaseModel): + content: str + + +class MemoryUpdateModel(BaseModel): + content: Optional[str] = None + + +@router.post("/add", response_model=Optional[MemoryModel]) +async def add_memory( + request: Request, + form_data: AddMemoryForm, + user=Depends(get_verified_user), +): + memory = Memories.insert_new_memory(user.id, form_data.content) + + VECTOR_DB_CLIENT.upsert( + collection_name=f"user-memory-{user.id}", + items=[ + { + "id": memory.id, + "text": memory.content, + "vector": request.app.state.EMBEDDING_FUNCTION(memory.content), + "metadata": {"created_at": memory.created_at}, + } + ], + ) + + return memory + + +############################ +# QueryMemory +############################ + + +class QueryMemoryForm(BaseModel): + content: str + k: Optional[int] = 1 + + +@router.post("/query") +async def query_memory( + request: Request, form_data: QueryMemoryForm, user=Depends(get_verified_user) +): + results = VECTOR_DB_CLIENT.search( + collection_name=f"user-memory-{user.id}", + vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content)], + limit=form_data.k, + ) + + return results + + +############################ +# ResetMemoryFromVectorDB +############################ +@router.post("/reset", response_model=bool) +async def reset_memory_from_vector_db( + request: Request, user=Depends(get_verified_user) +): + VECTOR_DB_CLIENT.delete_collection(f"user-memory-{user.id}") + + memories = Memories.get_memories_by_user_id(user.id) + VECTOR_DB_CLIENT.upsert( + collection_name=f"user-memory-{user.id}", + items=[ + { + "id": memory.id, + "text": memory.content, + "vector": request.app.state.EMBEDDING_FUNCTION(memory.content), + "metadata": { + "created_at": memory.created_at, + "updated_at": memory.updated_at, + }, + } + for memory in memories + ], + ) + + return True + + +############################ +# DeleteMemoriesByUserId +############################ + + +@router.delete("/delete/user", response_model=bool) +async def delete_memory_by_user_id(user=Depends(get_verified_user)): + result = Memories.delete_memories_by_user_id(user.id) + + if result: + try: + VECTOR_DB_CLIENT.delete_collection(f"user-memory-{user.id}") + except Exception as e: + log.error(e) + return True + + return False + + +############################ +# UpdateMemoryById +############################ + + +@router.post("/{memory_id}/update", response_model=Optional[MemoryModel]) +async def update_memory_by_id( + memory_id: str, + request: Request, + form_data: MemoryUpdateModel, + user=Depends(get_verified_user), +): + memory = Memories.update_memory_by_id(memory_id, form_data.content) + if memory is None: + raise HTTPException(status_code=404, detail="Memory not found") + + if form_data.content is not None: + VECTOR_DB_CLIENT.upsert( + collection_name=f"user-memory-{user.id}", + items=[ + { + "id": memory.id, + "text": memory.content, + "vector": request.app.state.EMBEDDING_FUNCTION(memory.content), + "metadata": { + "created_at": memory.created_at, + "updated_at": memory.updated_at, + }, + } + ], + ) + + return memory + + +############################ +# DeleteMemoryById +############################ + + +@router.delete("/{memory_id}", response_model=bool) +async def delete_memory_by_id(memory_id: str, user=Depends(get_verified_user)): + result = Memories.delete_memory_by_id_and_user_id(memory_id, user.id) + + if result: + VECTOR_DB_CLIENT.delete( + collection_name=f"user-memory-{user.id}", ids=[memory_id] + ) + return True + + return False diff --git a/backend/open_webui/apps/webui/routers/models.py b/backend/open_webui/apps/webui/routers/models.py new file mode 100644 index 0000000000000000000000000000000000000000..a5cb2395ecfc5f9f8f9a54ffa97f142cc27ebd3f --- /dev/null +++ b/backend/open_webui/apps/webui/routers/models.py @@ -0,0 +1,104 @@ +from typing import Optional + +from open_webui.apps.webui.models.models import ( + ModelForm, + ModelModel, + ModelResponse, + Models, +) +from open_webui.constants import ERROR_MESSAGES +from fastapi import APIRouter, Depends, HTTPException, Request, status +from open_webui.utils.utils import get_admin_user, get_verified_user + +router = APIRouter() + +########################### +# getModels +########################### + + +@router.get("/", response_model=list[ModelResponse]) +async def get_models(id: Optional[str] = None, user=Depends(get_verified_user)): + if id: + model = Models.get_model_by_id(id) + if model: + return [model] + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + else: + return Models.get_all_models() + + +############################ +# AddNewModel +############################ + + +@router.post("/add", response_model=Optional[ModelModel]) +async def add_new_model( + request: Request, + form_data: ModelForm, + user=Depends(get_admin_user), +): + if form_data.id in request.app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.MODEL_ID_TAKEN, + ) + else: + model = Models.insert_new_model(form_data, user.id) + + if model: + return model + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.DEFAULT(), + ) + + +############################ +# UpdateModelById +############################ + + +@router.post("/update", response_model=Optional[ModelModel]) +async def update_model_by_id( + request: Request, + id: str, + form_data: ModelForm, + user=Depends(get_admin_user), +): + model = Models.get_model_by_id(id) + if model: + model = Models.update_model_by_id(id, form_data) + return model + else: + if form_data.id in request.app.state.MODELS: + model = Models.insert_new_model(form_data, user.id) + if model: + return model + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.DEFAULT(), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.DEFAULT(), + ) + + +############################ +# DeleteModelById +############################ + + +@router.delete("/delete", response_model=bool) +async def delete_model_by_id(id: str, user=Depends(get_admin_user)): + result = Models.delete_model_by_id(id) + return result diff --git a/backend/open_webui/apps/webui/routers/prompts.py b/backend/open_webui/apps/webui/routers/prompts.py new file mode 100644 index 0000000000000000000000000000000000000000..593c643b979a82cd6800ae561ab89fa9612e551f --- /dev/null +++ b/backend/open_webui/apps/webui/routers/prompts.py @@ -0,0 +1,90 @@ +from typing import Optional + +from open_webui.apps.webui.models.prompts import PromptForm, PromptModel, Prompts +from open_webui.constants import ERROR_MESSAGES +from fastapi import APIRouter, Depends, HTTPException, status +from open_webui.utils.utils import get_admin_user, get_verified_user + +router = APIRouter() + +############################ +# GetPrompts +############################ + + +@router.get("/", response_model=list[PromptModel]) +async def get_prompts(user=Depends(get_verified_user)): + return Prompts.get_prompts() + + +############################ +# CreateNewPrompt +############################ + + +@router.post("/create", response_model=Optional[PromptModel]) +async def create_new_prompt(form_data: PromptForm, user=Depends(get_admin_user)): + prompt = Prompts.get_prompt_by_command(form_data.command) + if prompt is None: + prompt = Prompts.insert_new_prompt(user.id, form_data) + + if prompt: + return prompt + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(), + ) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.COMMAND_TAKEN, + ) + + +############################ +# GetPromptByCommand +############################ + + +@router.get("/command/{command}", response_model=Optional[PromptModel]) +async def get_prompt_by_command(command: str, user=Depends(get_verified_user)): + prompt = Prompts.get_prompt_by_command(f"/{command}") + + if prompt: + return prompt + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdatePromptByCommand +############################ + + +@router.post("/command/{command}/update", response_model=Optional[PromptModel]) +async def update_prompt_by_command( + command: str, + form_data: PromptForm, + user=Depends(get_admin_user), +): + prompt = Prompts.update_prompt_by_command(f"/{command}", form_data) + if prompt: + return prompt + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + + +############################ +# DeletePromptByCommand +############################ + + +@router.delete("/command/{command}/delete", response_model=bool) +async def delete_prompt_by_command(command: str, user=Depends(get_admin_user)): + result = Prompts.delete_prompt_by_command(f"/{command}") + return result diff --git a/backend/open_webui/apps/webui/routers/tools.py b/backend/open_webui/apps/webui/routers/tools.py new file mode 100644 index 0000000000000000000000000000000000000000..d1ad89deaef92aaa6ad8050ac5e082f7db83a4f3 --- /dev/null +++ b/backend/open_webui/apps/webui/routers/tools.py @@ -0,0 +1,358 @@ +import os +from pathlib import Path +from typing import Optional + +from open_webui.apps.webui.models.tools import ToolForm, ToolModel, ToolResponse, Tools +from open_webui.apps.webui.utils import load_toolkit_module_by_id, replace_imports +from open_webui.config import CACHE_DIR, DATA_DIR +from open_webui.constants import ERROR_MESSAGES +from fastapi import APIRouter, Depends, HTTPException, Request, status +from open_webui.utils.tools import get_tools_specs +from open_webui.utils.utils import get_admin_user, get_verified_user + + +router = APIRouter() + +############################ +# GetToolkits +############################ + + +@router.get("/", response_model=list[ToolResponse]) +async def get_toolkits(user=Depends(get_verified_user)): + toolkits = [toolkit for toolkit in Tools.get_tools()] + return toolkits + + +############################ +# ExportToolKits +############################ + + +@router.get("/export", response_model=list[ToolModel]) +async def get_toolkits(user=Depends(get_admin_user)): + toolkits = [toolkit for toolkit in Tools.get_tools()] + return toolkits + + +############################ +# CreateNewToolKit +############################ + + +@router.post("/create", response_model=Optional[ToolResponse]) +async def create_new_toolkit( + request: Request, + form_data: ToolForm, + user=Depends(get_admin_user), +): + if not form_data.id.isidentifier(): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Only alphanumeric characters and underscores are allowed in the id", + ) + + form_data.id = form_data.id.lower() + + toolkit = Tools.get_tool_by_id(form_data.id) + if toolkit is None: + try: + form_data.content = replace_imports(form_data.content) + toolkit_module, frontmatter = load_toolkit_module_by_id( + form_data.id, content=form_data.content + ) + form_data.meta.manifest = frontmatter + + TOOLS = request.app.state.TOOLS + TOOLS[form_data.id] = toolkit_module + + specs = get_tools_specs(TOOLS[form_data.id]) + toolkit = Tools.insert_new_tool(user.id, form_data, specs) + + tool_cache_dir = Path(CACHE_DIR) / "tools" / form_data.id + tool_cache_dir.mkdir(parents=True, exist_ok=True) + + if toolkit: + return toolkit + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error creating toolkit"), + ) + except Exception as e: + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(str(e)), + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.ID_TAKEN, + ) + + +############################ +# GetToolkitById +############################ + + +@router.get("/id/{id}", response_model=Optional[ToolModel]) +async def get_toolkit_by_id(id: str, user=Depends(get_admin_user)): + toolkit = Tools.get_tool_by_id(id) + + if toolkit: + return toolkit + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdateToolkitById +############################ + + +@router.post("/id/{id}/update", response_model=Optional[ToolModel]) +async def update_toolkit_by_id( + request: Request, + id: str, + form_data: ToolForm, + user=Depends(get_admin_user), +): + try: + form_data.content = replace_imports(form_data.content) + toolkit_module, frontmatter = load_toolkit_module_by_id( + id, content=form_data.content + ) + form_data.meta.manifest = frontmatter + + TOOLS = request.app.state.TOOLS + TOOLS[id] = toolkit_module + + specs = get_tools_specs(TOOLS[id]) + + updated = { + **form_data.model_dump(exclude={"id"}), + "specs": specs, + } + + print(updated) + toolkit = Tools.update_tool_by_id(id, updated) + + if toolkit: + return toolkit + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT("Error updating toolkit"), + ) + + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(str(e)), + ) + + +############################ +# DeleteToolkitById +############################ + + +@router.delete("/id/{id}/delete", response_model=bool) +async def delete_toolkit_by_id(request: Request, id: str, user=Depends(get_admin_user)): + result = Tools.delete_tool_by_id(id) + + if result: + TOOLS = request.app.state.TOOLS + if id in TOOLS: + del TOOLS[id] + + return result + + +############################ +# GetToolValves +############################ + + +@router.get("/id/{id}/valves", response_model=Optional[dict]) +async def get_toolkit_valves_by_id(id: str, user=Depends(get_admin_user)): + toolkit = Tools.get_tool_by_id(id) + if toolkit: + try: + valves = Tools.get_tool_valves_by_id(id) + return valves + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(str(e)), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# GetToolValvesSpec +############################ + + +@router.get("/id/{id}/valves/spec", response_model=Optional[dict]) +async def get_toolkit_valves_spec_by_id( + request: Request, id: str, user=Depends(get_admin_user) +): + toolkit = Tools.get_tool_by_id(id) + if toolkit: + if id in request.app.state.TOOLS: + toolkit_module = request.app.state.TOOLS[id] + else: + toolkit_module, _ = load_toolkit_module_by_id(id) + request.app.state.TOOLS[id] = toolkit_module + + if hasattr(toolkit_module, "Valves"): + Valves = toolkit_module.Valves + return Valves.schema() + return None + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# UpdateToolValves +############################ + + +@router.post("/id/{id}/valves/update", response_model=Optional[dict]) +async def update_toolkit_valves_by_id( + request: Request, id: str, form_data: dict, user=Depends(get_admin_user) +): + toolkit = Tools.get_tool_by_id(id) + if toolkit: + if id in request.app.state.TOOLS: + toolkit_module = request.app.state.TOOLS[id] + else: + toolkit_module, _ = load_toolkit_module_by_id(id) + request.app.state.TOOLS[id] = toolkit_module + + if hasattr(toolkit_module, "Valves"): + Valves = toolkit_module.Valves + + try: + form_data = {k: v for k, v in form_data.items() if v is not None} + valves = Valves(**form_data) + Tools.update_tool_valves_by_id(id, valves.model_dump()) + return valves.model_dump() + except Exception as e: + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(str(e)), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +############################ +# ToolUserValves +############################ + + +@router.get("/id/{id}/valves/user", response_model=Optional[dict]) +async def get_toolkit_user_valves_by_id(id: str, user=Depends(get_verified_user)): + toolkit = Tools.get_tool_by_id(id) + if toolkit: + try: + user_valves = Tools.get_user_valves_by_id_and_user_id(id, user.id) + return user_valves + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(str(e)), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.get("/id/{id}/valves/user/spec", response_model=Optional[dict]) +async def get_toolkit_user_valves_spec_by_id( + request: Request, id: str, user=Depends(get_verified_user) +): + toolkit = Tools.get_tool_by_id(id) + if toolkit: + if id in request.app.state.TOOLS: + toolkit_module = request.app.state.TOOLS[id] + else: + toolkit_module, _ = load_toolkit_module_by_id(id) + request.app.state.TOOLS[id] = toolkit_module + + if hasattr(toolkit_module, "UserValves"): + UserValves = toolkit_module.UserValves + return UserValves.schema() + return None + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + + +@router.post("/id/{id}/valves/user/update", response_model=Optional[dict]) +async def update_toolkit_user_valves_by_id( + request: Request, id: str, form_data: dict, user=Depends(get_verified_user) +): + toolkit = Tools.get_tool_by_id(id) + + if toolkit: + if id in request.app.state.TOOLS: + toolkit_module = request.app.state.TOOLS[id] + else: + toolkit_module, _ = load_toolkit_module_by_id(id) + request.app.state.TOOLS[id] = toolkit_module + + if hasattr(toolkit_module, "UserValves"): + UserValves = toolkit_module.UserValves + + try: + form_data = {k: v for k, v in form_data.items() if v is not None} + user_valves = UserValves(**form_data) + Tools.update_user_valves_by_id_and_user_id( + id, user.id, user_valves.model_dump() + ) + return user_valves.model_dump() + except Exception as e: + print(e) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(str(e)), + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.NOT_FOUND, + ) diff --git a/backend/open_webui/apps/webui/routers/users.py b/backend/open_webui/apps/webui/routers/users.py new file mode 100644 index 0000000000000000000000000000000000000000..abc540efa8f59596a5aabcde193e37b1996e5f25 --- /dev/null +++ b/backend/open_webui/apps/webui/routers/users.py @@ -0,0 +1,258 @@ +import logging +from typing import Optional + +from open_webui.apps.webui.models.auths import Auths +from open_webui.apps.webui.models.chats import Chats +from open_webui.apps.webui.models.users import ( + UserModel, + UserRoleUpdateForm, + Users, + UserSettings, + UserUpdateForm, +) +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import SRC_LOG_LEVELS +from fastapi import APIRouter, Depends, HTTPException, Request, status +from pydantic import BaseModel +from open_webui.utils.utils import get_admin_user, get_password_hash, get_verified_user + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MODELS"]) + +router = APIRouter() + +############################ +# GetUsers +############################ + + +@router.get("/", response_model=list[UserModel]) +async def get_users(skip: int = 0, limit: int = 50, user=Depends(get_admin_user)): + return Users.get_users(skip, limit) + + +############################ +# User Permissions +############################ + + +@router.get("/permissions/user") +async def get_user_permissions(request: Request, user=Depends(get_admin_user)): + return request.app.state.config.USER_PERMISSIONS + + +@router.post("/permissions/user") +async def update_user_permissions( + request: Request, form_data: dict, user=Depends(get_admin_user) +): + request.app.state.config.USER_PERMISSIONS = form_data + return request.app.state.config.USER_PERMISSIONS + + +############################ +# UpdateUserRole +############################ + + +@router.post("/update/role", response_model=Optional[UserModel]) +async def update_user_role(form_data: UserRoleUpdateForm, user=Depends(get_admin_user)): + if user.id != form_data.id and form_data.id != Users.get_first_user().id: + return Users.update_user_role_by_id(form_data.id, form_data.role) + + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail=ERROR_MESSAGES.ACTION_PROHIBITED, + ) + + +############################ +# GetUserSettingsBySessionUser +############################ + + +@router.get("/user/settings", response_model=Optional[UserSettings]) +async def get_user_settings_by_session_user(user=Depends(get_verified_user)): + user = Users.get_user_by_id(user.id) + if user: + return user.settings + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + +############################ +# UpdateUserSettingsBySessionUser +############################ + + +@router.post("/user/settings/update", response_model=UserSettings) +async def update_user_settings_by_session_user( + form_data: UserSettings, user=Depends(get_verified_user) +): + user = Users.update_user_by_id(user.id, {"settings": form_data.model_dump()}) + if user: + return user.settings + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + +############################ +# GetUserInfoBySessionUser +############################ + + +@router.get("/user/info", response_model=Optional[dict]) +async def get_user_info_by_session_user(user=Depends(get_verified_user)): + user = Users.get_user_by_id(user.id) + if user: + return user.info + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + +############################ +# UpdateUserInfoBySessionUser +############################ + + +@router.post("/user/info/update", response_model=Optional[dict]) +async def update_user_info_by_session_user( + form_data: dict, user=Depends(get_verified_user) +): + user = Users.get_user_by_id(user.id) + if user: + if user.info is None: + user.info = {} + + user = Users.update_user_by_id(user.id, {"info": {**user.info, **form_data}}) + if user: + return user.info + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + +############################ +# GetUserById +############################ + + +class UserResponse(BaseModel): + name: str + profile_image_url: str + + +@router.get("/{user_id}", response_model=UserResponse) +async def get_user_by_id(user_id: str, user=Depends(get_verified_user)): + # Check if user_id is a shared chat + # If it is, get the user_id from the chat + if user_id.startswith("shared-"): + chat_id = user_id.replace("shared-", "") + chat = Chats.get_chat_by_id(chat_id) + if chat: + user_id = chat.user_id + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + user = Users.get_user_by_id(user_id) + + if user: + return UserResponse(name=user.name, profile_image_url=user.profile_image_url) + else: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + +############################ +# UpdateUserById +############################ + + +@router.post("/{user_id}/update", response_model=Optional[UserModel]) +async def update_user_by_id( + user_id: str, + form_data: UserUpdateForm, + session_user=Depends(get_admin_user), +): + user = Users.get_user_by_id(user_id) + + if user: + if form_data.email.lower() != user.email: + email_user = Users.get_user_by_email(form_data.email.lower()) + if email_user: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.EMAIL_TAKEN, + ) + + if form_data.password: + hashed = get_password_hash(form_data.password) + log.debug(f"hashed: {hashed}") + Auths.update_user_password_by_id(user_id, hashed) + + Auths.update_email_by_id(user_id, form_data.email.lower()) + updated_user = Users.update_user_by_id( + user_id, + { + "name": form_data.name, + "email": form_data.email.lower(), + "profile_image_url": form_data.profile_image_url, + }, + ) + + if updated_user: + return updated_user + + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DEFAULT(), + ) + + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.USER_NOT_FOUND, + ) + + +############################ +# DeleteUserById +############################ + + +@router.delete("/{user_id}", response_model=bool) +async def delete_user_by_id(user_id: str, user=Depends(get_admin_user)): + if user.id != user_id: + result = Auths.delete_auth_by_id(user_id) + + if result: + return True + + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=ERROR_MESSAGES.DELETE_USER_ERROR, + ) + + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail=ERROR_MESSAGES.ACTION_PROHIBITED, + ) diff --git a/backend/open_webui/apps/webui/routers/utils.py b/backend/open_webui/apps/webui/routers/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..0ab0f6b156c66ace9820cad38622f918e2f13117 --- /dev/null +++ b/backend/open_webui/apps/webui/routers/utils.py @@ -0,0 +1,99 @@ +import black +import markdown + +from open_webui.apps.webui.models.chats import ChatTitleMessagesForm +from open_webui.config import DATA_DIR, ENABLE_ADMIN_EXPORT +from open_webui.constants import ERROR_MESSAGES +from fastapi import APIRouter, Depends, HTTPException, Response, status +from pydantic import BaseModel +from starlette.responses import FileResponse +from open_webui.utils.misc import get_gravatar_url +from open_webui.utils.pdf_generator import PDFGenerator +from open_webui.utils.utils import get_admin_user + +router = APIRouter() + + +@router.get("/gravatar") +async def get_gravatar( + email: str, +): + return get_gravatar_url(email) + + +class CodeFormatRequest(BaseModel): + code: str + + +@router.post("/code/format") +async def format_code(request: CodeFormatRequest): + try: + formatted_code = black.format_str(request.code, mode=black.Mode()) + return {"code": formatted_code} + except black.NothingChanged: + return {"code": request.code} + except Exception as e: + raise HTTPException(status_code=400, detail=str(e)) + + +class MarkdownForm(BaseModel): + md: str + + +@router.post("/markdown") +async def get_html_from_markdown( + form_data: MarkdownForm, +): + return {"html": markdown.markdown(form_data.md)} + + +class ChatForm(BaseModel): + title: str + messages: list[dict] + + +@router.post("/pdf") +async def download_chat_as_pdf( + form_data: ChatTitleMessagesForm, +): + try: + pdf_bytes = PDFGenerator(form_data).generate_chat_pdf() + + return Response( + content=pdf_bytes, + media_type="application/pdf", + headers={"Content-Disposition": "attachment;filename=chat.pdf"}, + ) + except Exception as e: + print(e) + raise HTTPException(status_code=400, detail=str(e)) + + +@router.get("/db/download") +async def download_db(user=Depends(get_admin_user)): + if not ENABLE_ADMIN_EXPORT: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + from open_webui.apps.webui.internal.db import engine + + if engine.name != "sqlite": + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=ERROR_MESSAGES.DB_NOT_SQLITE, + ) + return FileResponse( + engine.url.database, + media_type="application/octet-stream", + filename="webui.db", + ) + + +@router.get("/litellm/config") +async def download_litellm_config_yaml(user=Depends(get_admin_user)): + return FileResponse( + f"{DATA_DIR}/litellm/config.yaml", + media_type="application/octet-stream", + filename="config.yaml", + ) diff --git a/backend/open_webui/apps/webui/utils.py b/backend/open_webui/apps/webui/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..51d37965686d1780414c361a48497da435939983 --- /dev/null +++ b/backend/open_webui/apps/webui/utils.py @@ -0,0 +1,170 @@ +import os +import re +import subprocess +import sys +from importlib import util +import types +import tempfile + +from open_webui.apps.webui.models.functions import Functions +from open_webui.apps.webui.models.tools import Tools + + +def extract_frontmatter(content): + """ + Extract frontmatter as a dictionary from the provided content string. + """ + frontmatter = {} + frontmatter_started = False + frontmatter_ended = False + frontmatter_pattern = re.compile(r"^\s*([a-z_]+):\s*(.*)\s*$", re.IGNORECASE) + + try: + lines = content.splitlines() + if len(lines) < 1 or lines[0].strip() != '"""': + # The content doesn't start with triple quotes + return {} + + frontmatter_started = True + + for line in lines[1:]: + if '"""' in line: + if frontmatter_started: + frontmatter_ended = True + break + + if frontmatter_started and not frontmatter_ended: + match = frontmatter_pattern.match(line) + if match: + key, value = match.groups() + frontmatter[key.strip()] = value.strip() + + except Exception as e: + print(f"An error occurred: {e}") + return {} + + return frontmatter + + +def replace_imports(content): + """ + Replace the import paths in the content. + """ + replacements = { + "from utils": "from open_webui.utils", + "from apps": "from open_webui.apps", + "from main": "from open_webui.main", + "from config": "from open_webui.config", + } + + for old, new in replacements.items(): + content = content.replace(old, new) + + return content + + +def load_toolkit_module_by_id(toolkit_id, content=None): + + if content is None: + tool = Tools.get_tool_by_id(toolkit_id) + if not tool: + raise Exception(f"Toolkit not found: {toolkit_id}") + + content = tool.content + + content = replace_imports(content) + Tools.update_tool_by_id(toolkit_id, {"content": content}) + else: + frontmatter = extract_frontmatter(content) + # Install required packages found within the frontmatter + install_frontmatter_requirements(frontmatter.get("requirements", "")) + + module_name = f"tool_{toolkit_id}" + module = types.ModuleType(module_name) + sys.modules[module_name] = module + + # Create a temporary file and use it to define `__file__` so + # that it works as expected from the module's perspective. + temp_file = tempfile.NamedTemporaryFile(delete=False) + temp_file.close() + try: + with open(temp_file.name, "w", encoding="utf-8") as f: + f.write(content) + module.__dict__["__file__"] = temp_file.name + + # Executing the modified content in the created module's namespace + exec(content, module.__dict__) + frontmatter = extract_frontmatter(content) + print(f"Loaded module: {module.__name__}") + + # Create and return the object if the class 'Tools' is found in the module + if hasattr(module, "Tools"): + return module.Tools(), frontmatter + else: + raise Exception("No Tools class found in the module") + except Exception as e: + print(f"Error loading module: {toolkit_id}: {e}") + del sys.modules[module_name] # Clean up + raise e + finally: + os.unlink(temp_file.name) + + +def load_function_module_by_id(function_id, content=None): + if content is None: + function = Functions.get_function_by_id(function_id) + if not function: + raise Exception(f"Function not found: {function_id}") + content = function.content + + content = replace_imports(content) + Functions.update_function_by_id(function_id, {"content": content}) + else: + frontmatter = extract_frontmatter(content) + install_frontmatter_requirements(frontmatter.get("requirements", "")) + + module_name = f"function_{function_id}" + module = types.ModuleType(module_name) + sys.modules[module_name] = module + + # Create a temporary file and use it to define `__file__` so + # that it works as expected from the module's perspective. + temp_file = tempfile.NamedTemporaryFile(delete=False) + temp_file.close() + try: + with open(temp_file.name, "w", encoding="utf-8") as f: + f.write(content) + module.__dict__["__file__"] = temp_file.name + + # Execute the modified content in the created module's namespace + exec(content, module.__dict__) + frontmatter = extract_frontmatter(content) + print(f"Loaded module: {module.__name__}") + + # Create appropriate object based on available class type in the module + if hasattr(module, "Pipe"): + return module.Pipe(), "pipe", frontmatter + elif hasattr(module, "Filter"): + return module.Filter(), "filter", frontmatter + elif hasattr(module, "Action"): + return module.Action(), "action", frontmatter + else: + raise Exception("No Function class found in the module") + except Exception as e: + print(f"Error loading module: {function_id}: {e}") + del sys.modules[module_name] # Cleanup by removing the module in case of error + + Functions.update_function_by_id(function_id, {"is_active": False}) + raise e + finally: + os.unlink(temp_file.name) + + +def install_frontmatter_requirements(requirements): + if requirements: + req_list = [req.strip() for req in requirements.split(",")] + for req in req_list: + print(f"Installing requirement: {req}") + subprocess.check_call([sys.executable, "-m", "pip", "install", req]) + else: + print("No requirements found in frontmatter.") diff --git a/backend/open_webui/config.py b/backend/open_webui/config.py new file mode 100644 index 0000000000000000000000000000000000000000..9d1bd72d898103d4559b570354aef858ccf44642 --- /dev/null +++ b/backend/open_webui/config.py @@ -0,0 +1,1550 @@ +import json +import logging +import os +import shutil +from datetime import datetime +from pathlib import Path +from typing import Generic, Optional, TypeVar +from urllib.parse import urlparse + +import chromadb +import requests +import yaml +from open_webui.apps.webui.internal.db import Base, get_db +from open_webui.env import ( + OPEN_WEBUI_DIR, + DATA_DIR, + ENV, + FRONTEND_BUILD_DIR, + WEBUI_AUTH, + WEBUI_FAVICON_URL, + WEBUI_NAME, + log, +) +from pydantic import BaseModel +from sqlalchemy import JSON, Column, DateTime, Integer, func + + +class EndpointFilter(logging.Filter): + def filter(self, record: logging.LogRecord) -> bool: + return record.getMessage().find("/health") == -1 + + +# Filter out /endpoint +logging.getLogger("uvicorn.access").addFilter(EndpointFilter()) + +#################################### +# Config helpers +#################################### + + +# Function to run the alembic migrations +def run_migrations(): + print("Running migrations") + try: + from alembic import command + from alembic.config import Config + + alembic_cfg = Config(OPEN_WEBUI_DIR / "alembic.ini") + + # Set the script location dynamically + migrations_path = OPEN_WEBUI_DIR / "migrations" + alembic_cfg.set_main_option("script_location", str(migrations_path)) + + command.upgrade(alembic_cfg, "head") + except Exception as e: + print(f"Error: {e}") + + +run_migrations() + + +class Config(Base): + __tablename__ = "config" + + id = Column(Integer, primary_key=True) + data = Column(JSON, nullable=False) + version = Column(Integer, nullable=False, default=0) + created_at = Column(DateTime, nullable=False, server_default=func.now()) + updated_at = Column(DateTime, nullable=True, onupdate=func.now()) + + +def load_json_config(): + with open(f"{DATA_DIR}/config.json", "r") as file: + return json.load(file) + + +def save_to_db(data): + with get_db() as db: + existing_config = db.query(Config).first() + if not existing_config: + new_config = Config(data=data, version=0) + db.add(new_config) + else: + existing_config.data = data + existing_config.updated_at = datetime.now() + db.add(existing_config) + db.commit() + + +def reset_config(): + with get_db() as db: + db.query(Config).delete() + db.commit() + + +# When initializing, check if config.json exists and migrate it to the database +if os.path.exists(f"{DATA_DIR}/config.json"): + data = load_json_config() + save_to_db(data) + os.rename(f"{DATA_DIR}/config.json", f"{DATA_DIR}/old_config.json") + +DEFAULT_CONFIG = { + "version": 0, + "ui": { + "default_locale": "", + "prompt_suggestions": [ + { + "title": [ + "Help me study", + "vocabulary for a college entrance exam", + ], + "content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.", + }, + { + "title": [ + "Give me ideas", + "for what to do with my kids' art", + ], + "content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.", + }, + { + "title": ["Tell me a fun fact", "about the Roman Empire"], + "content": "Tell me a random fun fact about the Roman Empire", + }, + { + "title": [ + "Show me a code snippet", + "of a website's sticky header", + ], + "content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.", + }, + { + "title": [ + "Explain options trading", + "if I'm familiar with buying and selling stocks", + ], + "content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks.", + }, + { + "title": ["Overcome procrastination", "give me tips"], + "content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?", + }, + { + "title": [ + "Grammar check", + "rewrite it for better readability ", + ], + "content": 'Check the following sentence for grammar and clarity: "[sentence]". Rewrite it for better readability while maintaining its original meaning.', + }, + ], + }, +} + + +def get_config(): + with get_db() as db: + config_entry = db.query(Config).order_by(Config.id.desc()).first() + return config_entry.data if config_entry else DEFAULT_CONFIG + + +CONFIG_DATA = get_config() + + +def get_config_value(config_path: str): + path_parts = config_path.split(".") + cur_config = CONFIG_DATA + for key in path_parts: + if key in cur_config: + cur_config = cur_config[key] + else: + return None + return cur_config + + +PERSISTENT_CONFIG_REGISTRY = [] + + +def save_config(config): + global CONFIG_DATA + global PERSISTENT_CONFIG_REGISTRY + try: + save_to_db(config) + CONFIG_DATA = config + + # Trigger updates on all registered PersistentConfig entries + for config_item in PERSISTENT_CONFIG_REGISTRY: + config_item.update() + except Exception as e: + log.exception(e) + return False + return True + + +T = TypeVar("T") + + +class PersistentConfig(Generic[T]): + def __init__(self, env_name: str, config_path: str, env_value: T): + self.env_name = env_name + self.config_path = config_path + self.env_value = env_value + self.config_value = get_config_value(config_path) + if self.config_value is not None: + log.info(f"'{env_name}' loaded from the latest database entry") + self.value = self.config_value + else: + self.value = env_value + + PERSISTENT_CONFIG_REGISTRY.append(self) + + def __str__(self): + return str(self.value) + + @property + def __dict__(self): + raise TypeError( + "PersistentConfig object cannot be converted to dict, use config_get or .value instead." + ) + + def __getattribute__(self, item): + if item == "__dict__": + raise TypeError( + "PersistentConfig object cannot be converted to dict, use config_get or .value instead." + ) + return super().__getattribute__(item) + + def update(self): + new_value = get_config_value(self.config_path) + if new_value is not None: + self.value = new_value + log.info(f"Updated {self.env_name} to new value {self.value}") + + def save(self): + log.info(f"Saving '{self.env_name}' to the database") + path_parts = self.config_path.split(".") + sub_config = CONFIG_DATA + for key in path_parts[:-1]: + if key not in sub_config: + sub_config[key] = {} + sub_config = sub_config[key] + sub_config[path_parts[-1]] = self.value + save_to_db(CONFIG_DATA) + self.config_value = self.value + + +class AppConfig: + _state: dict[str, PersistentConfig] + + def __init__(self): + super().__setattr__("_state", {}) + + def __setattr__(self, key, value): + if isinstance(value, PersistentConfig): + self._state[key] = value + else: + self._state[key].value = value + self._state[key].save() + + def __getattr__(self, key): + return self._state[key].value + + +#################################### +# WEBUI_AUTH (Required for security) +#################################### + +JWT_EXPIRES_IN = PersistentConfig( + "JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "-1") +) + +#################################### +# OAuth config +#################################### + +ENABLE_OAUTH_SIGNUP = PersistentConfig( + "ENABLE_OAUTH_SIGNUP", + "oauth.enable_signup", + os.environ.get("ENABLE_OAUTH_SIGNUP", "False").lower() == "true", +) + +OAUTH_MERGE_ACCOUNTS_BY_EMAIL = PersistentConfig( + "OAUTH_MERGE_ACCOUNTS_BY_EMAIL", + "oauth.merge_accounts_by_email", + os.environ.get("OAUTH_MERGE_ACCOUNTS_BY_EMAIL", "False").lower() == "true", +) + +OAUTH_PROVIDERS = {} + +GOOGLE_CLIENT_ID = PersistentConfig( + "GOOGLE_CLIENT_ID", + "oauth.google.client_id", + os.environ.get("GOOGLE_CLIENT_ID", ""), +) + +GOOGLE_CLIENT_SECRET = PersistentConfig( + "GOOGLE_CLIENT_SECRET", + "oauth.google.client_secret", + os.environ.get("GOOGLE_CLIENT_SECRET", ""), +) + +GOOGLE_OAUTH_SCOPE = PersistentConfig( + "GOOGLE_OAUTH_SCOPE", + "oauth.google.scope", + os.environ.get("GOOGLE_OAUTH_SCOPE", "openid email profile"), +) + +GOOGLE_REDIRECT_URI = PersistentConfig( + "GOOGLE_REDIRECT_URI", + "oauth.google.redirect_uri", + os.environ.get("GOOGLE_REDIRECT_URI", ""), +) + +MICROSOFT_CLIENT_ID = PersistentConfig( + "MICROSOFT_CLIENT_ID", + "oauth.microsoft.client_id", + os.environ.get("MICROSOFT_CLIENT_ID", ""), +) + +MICROSOFT_CLIENT_SECRET = PersistentConfig( + "MICROSOFT_CLIENT_SECRET", + "oauth.microsoft.client_secret", + os.environ.get("MICROSOFT_CLIENT_SECRET", ""), +) + +MICROSOFT_CLIENT_TENANT_ID = PersistentConfig( + "MICROSOFT_CLIENT_TENANT_ID", + "oauth.microsoft.tenant_id", + os.environ.get("MICROSOFT_CLIENT_TENANT_ID", ""), +) + +MICROSOFT_OAUTH_SCOPE = PersistentConfig( + "MICROSOFT_OAUTH_SCOPE", + "oauth.microsoft.scope", + os.environ.get("MICROSOFT_OAUTH_SCOPE", "openid email profile"), +) + +MICROSOFT_REDIRECT_URI = PersistentConfig( + "MICROSOFT_REDIRECT_URI", + "oauth.microsoft.redirect_uri", + os.environ.get("MICROSOFT_REDIRECT_URI", ""), +) + +OAUTH_CLIENT_ID = PersistentConfig( + "OAUTH_CLIENT_ID", + "oauth.oidc.client_id", + os.environ.get("OAUTH_CLIENT_ID", ""), +) + +OAUTH_CLIENT_SECRET = PersistentConfig( + "OAUTH_CLIENT_SECRET", + "oauth.oidc.client_secret", + os.environ.get("OAUTH_CLIENT_SECRET", ""), +) + +OPENID_PROVIDER_URL = PersistentConfig( + "OPENID_PROVIDER_URL", + "oauth.oidc.provider_url", + os.environ.get("OPENID_PROVIDER_URL", ""), +) + +OPENID_REDIRECT_URI = PersistentConfig( + "OPENID_REDIRECT_URI", + "oauth.oidc.redirect_uri", + os.environ.get("OPENID_REDIRECT_URI", ""), +) + +OAUTH_SCOPES = PersistentConfig( + "OAUTH_SCOPES", + "oauth.oidc.scopes", + os.environ.get("OAUTH_SCOPES", "openid email profile"), +) + +OAUTH_PROVIDER_NAME = PersistentConfig( + "OAUTH_PROVIDER_NAME", + "oauth.oidc.provider_name", + os.environ.get("OAUTH_PROVIDER_NAME", "SSO"), +) + +OAUTH_USERNAME_CLAIM = PersistentConfig( + "OAUTH_USERNAME_CLAIM", + "oauth.oidc.username_claim", + os.environ.get("OAUTH_USERNAME_CLAIM", "name"), +) + +OAUTH_PICTURE_CLAIM = PersistentConfig( + "OAUTH_PICTURE_CLAIM", + "oauth.oidc.avatar_claim", + os.environ.get("OAUTH_PICTURE_CLAIM", "picture"), +) + +OAUTH_EMAIL_CLAIM = PersistentConfig( + "OAUTH_EMAIL_CLAIM", + "oauth.oidc.email_claim", + os.environ.get("OAUTH_EMAIL_CLAIM", "email"), +) + +ENABLE_OAUTH_ROLE_MANAGEMENT = PersistentConfig( + "ENABLE_OAUTH_ROLE_MANAGEMENT", + "oauth.enable_role_mapping", + os.environ.get("ENABLE_OAUTH_ROLE_MANAGEMENT", "False").lower() == "true", +) + +OAUTH_ROLES_CLAIM = PersistentConfig( + "OAUTH_ROLES_CLAIM", + "oauth.roles_claim", + os.environ.get("OAUTH_ROLES_CLAIM", "roles"), +) + +OAUTH_ALLOWED_ROLES = PersistentConfig( + "OAUTH_ALLOWED_ROLES", + "oauth.allowed_roles", + [ + role.strip() + for role in os.environ.get("OAUTH_ALLOWED_ROLES", "user,admin").split(",") + ], +) + +OAUTH_ADMIN_ROLES = PersistentConfig( + "OAUTH_ADMIN_ROLES", + "oauth.admin_roles", + [role.strip() for role in os.environ.get("OAUTH_ADMIN_ROLES", "admin").split(",")], +) + + +def load_oauth_providers(): + OAUTH_PROVIDERS.clear() + if GOOGLE_CLIENT_ID.value and GOOGLE_CLIENT_SECRET.value: + OAUTH_PROVIDERS["google"] = { + "client_id": GOOGLE_CLIENT_ID.value, + "client_secret": GOOGLE_CLIENT_SECRET.value, + "server_metadata_url": "https://accounts.google.com/.well-known/openid-configuration", + "scope": GOOGLE_OAUTH_SCOPE.value, + "redirect_uri": GOOGLE_REDIRECT_URI.value, + } + + if ( + MICROSOFT_CLIENT_ID.value + and MICROSOFT_CLIENT_SECRET.value + and MICROSOFT_CLIENT_TENANT_ID.value + ): + OAUTH_PROVIDERS["microsoft"] = { + "client_id": MICROSOFT_CLIENT_ID.value, + "client_secret": MICROSOFT_CLIENT_SECRET.value, + "server_metadata_url": f"https://login.microsoftonline.com/{MICROSOFT_CLIENT_TENANT_ID.value}/v2.0/.well-known/openid-configuration", + "scope": MICROSOFT_OAUTH_SCOPE.value, + "redirect_uri": MICROSOFT_REDIRECT_URI.value, + } + + if ( + OAUTH_CLIENT_ID.value + and OAUTH_CLIENT_SECRET.value + and OPENID_PROVIDER_URL.value + ): + OAUTH_PROVIDERS["oidc"] = { + "client_id": OAUTH_CLIENT_ID.value, + "client_secret": OAUTH_CLIENT_SECRET.value, + "server_metadata_url": OPENID_PROVIDER_URL.value, + "scope": OAUTH_SCOPES.value, + "name": OAUTH_PROVIDER_NAME.value, + "redirect_uri": OPENID_REDIRECT_URI.value, + } + + +load_oauth_providers() + +#################################### +# Static DIR +#################################### + +STATIC_DIR = Path(os.getenv("STATIC_DIR", OPEN_WEBUI_DIR / "static")).resolve() + +frontend_favicon = FRONTEND_BUILD_DIR / "static" / "favicon.png" + +if frontend_favicon.exists(): + try: + shutil.copyfile(frontend_favicon, STATIC_DIR / "favicon.png") + except Exception as e: + logging.error(f"An error occurred: {e}") +else: + logging.warning(f"Frontend favicon not found at {frontend_favicon}") + +frontend_splash = FRONTEND_BUILD_DIR / "static" / "splash.png" + +if frontend_splash.exists(): + try: + shutil.copyfile(frontend_splash, STATIC_DIR / "splash.png") + except Exception as e: + logging.error(f"An error occurred: {e}") +else: + logging.warning(f"Frontend splash not found at {frontend_splash}") + + +#################################### +# CUSTOM_NAME +#################################### + +CUSTOM_NAME = os.environ.get("CUSTOM_NAME", "") + +if CUSTOM_NAME: + try: + r = requests.get(f"https://api.openwebui.com/api/v1/custom/{CUSTOM_NAME}") + data = r.json() + if r.ok: + if "logo" in data: + WEBUI_FAVICON_URL = url = ( + f"https://api.openwebui.com{data['logo']}" + if data["logo"][0] == "/" + else data["logo"] + ) + + r = requests.get(url, stream=True) + if r.status_code == 200: + with open(f"{STATIC_DIR}/favicon.png", "wb") as f: + r.raw.decode_content = True + shutil.copyfileobj(r.raw, f) + + if "splash" in data: + url = ( + f"https://api.openwebui.com{data['splash']}" + if data["splash"][0] == "/" + else data["splash"] + ) + + r = requests.get(url, stream=True) + if r.status_code == 200: + with open(f"{STATIC_DIR}/splash.png", "wb") as f: + r.raw.decode_content = True + shutil.copyfileobj(r.raw, f) + + WEBUI_NAME = data["name"] + except Exception as e: + log.exception(e) + pass + + +#################################### +# STORAGE PROVIDER +#################################### + +STORAGE_PROVIDER = os.environ.get("STORAGE_PROVIDER", "") # defaults to local, s3 + +S3_ACCESS_KEY_ID = os.environ.get("S3_ACCESS_KEY_ID", None) +S3_SECRET_ACCESS_KEY = os.environ.get("S3_SECRET_ACCESS_KEY", None) +S3_REGION_NAME = os.environ.get("S3_REGION_NAME", None) +S3_BUCKET_NAME = os.environ.get("S3_BUCKET_NAME", None) +S3_ENDPOINT_URL = os.environ.get("S3_ENDPOINT_URL", None) + +#################################### +# File Upload DIR +#################################### + +UPLOAD_DIR = f"{DATA_DIR}/uploads" +Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True) + + +#################################### +# Cache DIR +#################################### + +CACHE_DIR = f"{DATA_DIR}/cache" +Path(CACHE_DIR).mkdir(parents=True, exist_ok=True) + +#################################### +# OLLAMA_BASE_URL +#################################### + +ENABLE_OLLAMA_API = PersistentConfig( + "ENABLE_OLLAMA_API", + "ollama.enable", + os.environ.get("ENABLE_OLLAMA_API", "True").lower() == "true", +) + +OLLAMA_API_BASE_URL = os.environ.get( + "OLLAMA_API_BASE_URL", "http://localhost:11434/api" +) + +OLLAMA_BASE_URL = os.environ.get("OLLAMA_BASE_URL", "") + +K8S_FLAG = os.environ.get("K8S_FLAG", "") +USE_OLLAMA_DOCKER = os.environ.get("USE_OLLAMA_DOCKER", "false") + +if OLLAMA_BASE_URL == "" and OLLAMA_API_BASE_URL != "": + OLLAMA_BASE_URL = ( + OLLAMA_API_BASE_URL[:-4] + if OLLAMA_API_BASE_URL.endswith("/api") + else OLLAMA_API_BASE_URL + ) + +if ENV == "prod": + if OLLAMA_BASE_URL == "/ollama" and not K8S_FLAG: + if USE_OLLAMA_DOCKER.lower() == "true": + # if you use all-in-one docker container (Open WebUI + Ollama) + # with the docker build arg USE_OLLAMA=true (--build-arg="USE_OLLAMA=true") this only works with http://localhost:11434 + OLLAMA_BASE_URL = "http://localhost:11434" + else: + OLLAMA_BASE_URL = "http://host.docker.internal:11434" + elif K8S_FLAG: + OLLAMA_BASE_URL = "http://ollama-service.open-webui.svc.cluster.local:11434" + + +OLLAMA_BASE_URLS = os.environ.get("OLLAMA_BASE_URLS", "") +OLLAMA_BASE_URLS = OLLAMA_BASE_URLS if OLLAMA_BASE_URLS != "" else OLLAMA_BASE_URL + +OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")] +OLLAMA_BASE_URLS = PersistentConfig( + "OLLAMA_BASE_URLS", "ollama.base_urls", OLLAMA_BASE_URLS +) + +#################################### +# OPENAI_API +#################################### + + +ENABLE_OPENAI_API = PersistentConfig( + "ENABLE_OPENAI_API", + "openai.enable", + os.environ.get("ENABLE_OPENAI_API", "True").lower() == "true", +) + + +OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "") +OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "") + + +if OPENAI_API_BASE_URL == "": + OPENAI_API_BASE_URL = "https://api.openai.com/v1" + +OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "") +OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY + +OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")] +OPENAI_API_KEYS = PersistentConfig( + "OPENAI_API_KEYS", "openai.api_keys", OPENAI_API_KEYS +) + +OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "") +OPENAI_API_BASE_URLS = ( + OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL +) + +OPENAI_API_BASE_URLS = [ + url.strip() if url != "" else "https://api.openai.com/v1" + for url in OPENAI_API_BASE_URLS.split(";") +] +OPENAI_API_BASE_URLS = PersistentConfig( + "OPENAI_API_BASE_URLS", "openai.api_base_urls", OPENAI_API_BASE_URLS +) + +OPENAI_API_KEY = "" + +try: + OPENAI_API_KEY = OPENAI_API_KEYS.value[ + OPENAI_API_BASE_URLS.value.index("https://api.openai.com/v1") + ] +except Exception: + pass + +OPENAI_API_BASE_URL = "https://api.openai.com/v1" + +#################################### +# WEBUI +#################################### + +ENABLE_SIGNUP = PersistentConfig( + "ENABLE_SIGNUP", + "ui.enable_signup", + ( + False + if not WEBUI_AUTH + else os.environ.get("ENABLE_SIGNUP", "True").lower() == "true" + ), +) + +ENABLE_LOGIN_FORM = PersistentConfig( + "ENABLE_LOGIN_FORM", + "ui.ENABLE_LOGIN_FORM", + os.environ.get("ENABLE_LOGIN_FORM", "True").lower() == "true", +) + +DEFAULT_LOCALE = PersistentConfig( + "DEFAULT_LOCALE", + "ui.default_locale", + os.environ.get("DEFAULT_LOCALE", ""), +) + +DEFAULT_MODELS = PersistentConfig( + "DEFAULT_MODELS", "ui.default_models", os.environ.get("DEFAULT_MODELS", None) +) + +DEFAULT_PROMPT_SUGGESTIONS = PersistentConfig( + "DEFAULT_PROMPT_SUGGESTIONS", + "ui.prompt_suggestions", + [ + { + "title": ["Help me study", "vocabulary for a college entrance exam"], + "content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.", + }, + { + "title": ["Give me ideas", "for what to do with my kids' art"], + "content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.", + }, + { + "title": ["Tell me a fun fact", "about the Roman Empire"], + "content": "Tell me a random fun fact about the Roman Empire", + }, + { + "title": ["Show me a code snippet", "of a website's sticky header"], + "content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.", + }, + { + "title": [ + "Explain options trading", + "if I'm familiar with buying and selling stocks", + ], + "content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks.", + }, + { + "title": ["Overcome procrastination", "give me tips"], + "content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?", + }, + ], +) + +DEFAULT_USER_ROLE = PersistentConfig( + "DEFAULT_USER_ROLE", + "ui.default_user_role", + os.getenv("DEFAULT_USER_ROLE", "pending"), +) + +USER_PERMISSIONS_CHAT_DELETION = ( + os.environ.get("USER_PERMISSIONS_CHAT_DELETION", "True").lower() == "true" +) + +USER_PERMISSIONS_CHAT_EDITING = ( + os.environ.get("USER_PERMISSIONS_CHAT_EDITING", "True").lower() == "true" +) + +USER_PERMISSIONS_CHAT_TEMPORARY = ( + os.environ.get("USER_PERMISSIONS_CHAT_TEMPORARY", "True").lower() == "true" +) + +USER_PERMISSIONS = PersistentConfig( + "USER_PERMISSIONS", + "ui.user_permissions", + { + "chat": { + "deletion": USER_PERMISSIONS_CHAT_DELETION, + "editing": USER_PERMISSIONS_CHAT_EDITING, + "temporary": USER_PERMISSIONS_CHAT_TEMPORARY, + } + }, +) + + +ENABLE_EVALUATION_ARENA_MODELS = PersistentConfig( + "ENABLE_EVALUATION_ARENA_MODELS", + "evaluation.arena.enable", + os.environ.get("ENABLE_EVALUATION_ARENA_MODELS", "True").lower() == "true", +) +EVALUATION_ARENA_MODELS = PersistentConfig( + "EVALUATION_ARENA_MODELS", + "evaluation.arena.models", + [], +) + +DEFAULT_ARENA_MODEL = { + "id": "arena-model", + "name": "Arena Model", + "meta": { + "profile_image_url": "/favicon.png", + "description": "Submit your questions to anonymous AI chatbots and vote on the best response.", + "model_ids": None, + }, +} + +ENABLE_MODEL_FILTER = PersistentConfig( + "ENABLE_MODEL_FILTER", + "model_filter.enable", + os.environ.get("ENABLE_MODEL_FILTER", "False").lower() == "true", +) +MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "") +MODEL_FILTER_LIST = PersistentConfig( + "MODEL_FILTER_LIST", + "model_filter.list", + [model.strip() for model in MODEL_FILTER_LIST.split(";")], +) + +WEBHOOK_URL = PersistentConfig( + "WEBHOOK_URL", "webhook_url", os.environ.get("WEBHOOK_URL", "") +) + +ENABLE_ADMIN_EXPORT = os.environ.get("ENABLE_ADMIN_EXPORT", "True").lower() == "true" + +ENABLE_ADMIN_CHAT_ACCESS = ( + os.environ.get("ENABLE_ADMIN_CHAT_ACCESS", "True").lower() == "true" +) + +ENABLE_COMMUNITY_SHARING = PersistentConfig( + "ENABLE_COMMUNITY_SHARING", + "ui.enable_community_sharing", + os.environ.get("ENABLE_COMMUNITY_SHARING", "True").lower() == "true", +) + +ENABLE_MESSAGE_RATING = PersistentConfig( + "ENABLE_MESSAGE_RATING", + "ui.enable_message_rating", + os.environ.get("ENABLE_MESSAGE_RATING", "True").lower() == "true", +) + + +def validate_cors_origins(origins): + for origin in origins: + if origin != "*": + validate_cors_origin(origin) + + +def validate_cors_origin(origin): + parsed_url = urlparse(origin) + + # Check if the scheme is either http or https + if parsed_url.scheme not in ["http", "https"]: + raise ValueError( + f"Invalid scheme in CORS_ALLOW_ORIGIN: '{origin}'. Only 'http' and 'https' are allowed." + ) + + # Ensure that the netloc (domain + port) is present, indicating it's a valid URL + if not parsed_url.netloc: + raise ValueError(f"Invalid URL structure in CORS_ALLOW_ORIGIN: '{origin}'.") + + +# For production, you should only need one host as +# fastapi serves the svelte-kit built frontend and backend from the same host and port. +# To test CORS_ALLOW_ORIGIN locally, you can set something like +# CORS_ALLOW_ORIGIN=http://localhost:5173;http://localhost:8080 +# in your .env file depending on your frontend port, 5173 in this case. +CORS_ALLOW_ORIGIN = os.environ.get("CORS_ALLOW_ORIGIN", "*").split(";") + +if "*" in CORS_ALLOW_ORIGIN: + log.warning( + "\n\nWARNING: CORS_ALLOW_ORIGIN IS SET TO '*' - NOT RECOMMENDED FOR PRODUCTION DEPLOYMENTS.\n" + ) + +validate_cors_origins(CORS_ALLOW_ORIGIN) + + +class BannerModel(BaseModel): + id: str + type: str + title: Optional[str] = None + content: str + dismissible: bool + timestamp: int + + +try: + banners = json.loads(os.environ.get("WEBUI_BANNERS", "[]")) + banners = [BannerModel(**banner) for banner in banners] +except Exception as e: + print(f"Error loading WEBUI_BANNERS: {e}") + banners = [] + +WEBUI_BANNERS = PersistentConfig("WEBUI_BANNERS", "ui.banners", banners) + + +SHOW_ADMIN_DETAILS = PersistentConfig( + "SHOW_ADMIN_DETAILS", + "auth.admin.show", + os.environ.get("SHOW_ADMIN_DETAILS", "true").lower() == "true", +) + +ADMIN_EMAIL = PersistentConfig( + "ADMIN_EMAIL", + "auth.admin.email", + os.environ.get("ADMIN_EMAIL", None), +) + + +#################################### +# TASKS +#################################### + + +TASK_MODEL = PersistentConfig( + "TASK_MODEL", + "task.model.default", + os.environ.get("TASK_MODEL", ""), +) + +TASK_MODEL_EXTERNAL = PersistentConfig( + "TASK_MODEL_EXTERNAL", + "task.model.external", + os.environ.get("TASK_MODEL_EXTERNAL", ""), +) + +TITLE_GENERATION_PROMPT_TEMPLATE = PersistentConfig( + "TITLE_GENERATION_PROMPT_TEMPLATE", + "task.title.prompt_template", + os.environ.get("TITLE_GENERATION_PROMPT_TEMPLATE", ""), +) + +TAGS_GENERATION_PROMPT_TEMPLATE = PersistentConfig( + "TAGS_GENERATION_PROMPT_TEMPLATE", + "task.tags.prompt_template", + os.environ.get("TAGS_GENERATION_PROMPT_TEMPLATE", ""), +) + +ENABLE_SEARCH_QUERY = PersistentConfig( + "ENABLE_SEARCH_QUERY", + "task.search.enable", + os.environ.get("ENABLE_SEARCH_QUERY", "True").lower() == "true", +) + + +SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE = PersistentConfig( + "SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE", + "task.search.prompt_template", + os.environ.get("SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE", ""), +) + + +TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = PersistentConfig( + "TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE", + "task.tools.prompt_template", + os.environ.get("TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE", ""), +) + + +#################################### +# Vector Database +#################################### + +VECTOR_DB = os.environ.get("VECTOR_DB", "chroma") + +# Chroma +CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db" +CHROMA_TENANT = os.environ.get("CHROMA_TENANT", chromadb.DEFAULT_TENANT) +CHROMA_DATABASE = os.environ.get("CHROMA_DATABASE", chromadb.DEFAULT_DATABASE) +CHROMA_HTTP_HOST = os.environ.get("CHROMA_HTTP_HOST", "") +CHROMA_HTTP_PORT = int(os.environ.get("CHROMA_HTTP_PORT", "8000")) +# Comma-separated list of header=value pairs +CHROMA_HTTP_HEADERS = os.environ.get("CHROMA_HTTP_HEADERS", "") +if CHROMA_HTTP_HEADERS: + CHROMA_HTTP_HEADERS = dict( + [pair.split("=") for pair in CHROMA_HTTP_HEADERS.split(",")] + ) +else: + CHROMA_HTTP_HEADERS = None +CHROMA_HTTP_SSL = os.environ.get("CHROMA_HTTP_SSL", "false").lower() == "true" +# this uses the model defined in the Dockerfile ENV variable. If you dont use docker or docker based deployments such as k8s, the default embedding model will be used (sentence-transformers/all-MiniLM-L6-v2) + +# Milvus + +MILVUS_URI = os.environ.get("MILVUS_URI", f"{DATA_DIR}/vector_db/milvus.db") + +# Qdrant +QDRANT_URI = os.environ.get("QDRANT_URI", None) + +#################################### +# Information Retrieval (RAG) +#################################### + +# RAG Content Extraction +CONTENT_EXTRACTION_ENGINE = PersistentConfig( + "CONTENT_EXTRACTION_ENGINE", + "rag.CONTENT_EXTRACTION_ENGINE", + os.environ.get("CONTENT_EXTRACTION_ENGINE", "").lower(), +) + +TIKA_SERVER_URL = PersistentConfig( + "TIKA_SERVER_URL", + "rag.tika_server_url", + os.getenv("TIKA_SERVER_URL", "http://tika:9998"), # Default for sidecar deployment +) + +RAG_TOP_K = PersistentConfig( + "RAG_TOP_K", "rag.top_k", int(os.environ.get("RAG_TOP_K", "3")) +) +RAG_RELEVANCE_THRESHOLD = PersistentConfig( + "RAG_RELEVANCE_THRESHOLD", + "rag.relevance_threshold", + float(os.environ.get("RAG_RELEVANCE_THRESHOLD", "0.0")), +) + +ENABLE_RAG_HYBRID_SEARCH = PersistentConfig( + "ENABLE_RAG_HYBRID_SEARCH", + "rag.enable_hybrid_search", + os.environ.get("ENABLE_RAG_HYBRID_SEARCH", "").lower() == "true", +) + +RAG_FILE_MAX_COUNT = PersistentConfig( + "RAG_FILE_MAX_COUNT", + "rag.file.max_count", + ( + int(os.environ.get("RAG_FILE_MAX_COUNT")) + if os.environ.get("RAG_FILE_MAX_COUNT") + else None + ), +) + +RAG_FILE_MAX_SIZE = PersistentConfig( + "RAG_FILE_MAX_SIZE", + "rag.file.max_size", + ( + int(os.environ.get("RAG_FILE_MAX_SIZE")) + if os.environ.get("RAG_FILE_MAX_SIZE") + else None + ), +) + +ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = PersistentConfig( + "ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION", + "rag.enable_web_loader_ssl_verification", + os.environ.get("ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION", "True").lower() == "true", +) + +RAG_EMBEDDING_ENGINE = PersistentConfig( + "RAG_EMBEDDING_ENGINE", + "rag.embedding_engine", + os.environ.get("RAG_EMBEDDING_ENGINE", ""), +) + +PDF_EXTRACT_IMAGES = PersistentConfig( + "PDF_EXTRACT_IMAGES", + "rag.pdf_extract_images", + os.environ.get("PDF_EXTRACT_IMAGES", "False").lower() == "true", +) + +RAG_EMBEDDING_MODEL = PersistentConfig( + "RAG_EMBEDDING_MODEL", + "rag.embedding_model", + os.environ.get("RAG_EMBEDDING_MODEL", "sentence-transformers/all-MiniLM-L6-v2"), +) +log.info(f"Embedding model set: {RAG_EMBEDDING_MODEL.value}") + +RAG_EMBEDDING_MODEL_AUTO_UPDATE = ( + os.environ.get("RAG_EMBEDDING_MODEL_AUTO_UPDATE", "").lower() == "true" +) + +RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE = ( + os.environ.get("RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE", "").lower() == "true" +) + +RAG_EMBEDDING_BATCH_SIZE = PersistentConfig( + "RAG_EMBEDDING_BATCH_SIZE", + "rag.embedding_batch_size", + int( + os.environ.get("RAG_EMBEDDING_BATCH_SIZE") + or os.environ.get("RAG_EMBEDDING_OPENAI_BATCH_SIZE", "1") + ), +) + +RAG_RERANKING_MODEL = PersistentConfig( + "RAG_RERANKING_MODEL", + "rag.reranking_model", + os.environ.get("RAG_RERANKING_MODEL", ""), +) +if RAG_RERANKING_MODEL.value != "": + log.info(f"Reranking model set: {RAG_RERANKING_MODEL.value}") + +RAG_RERANKING_MODEL_AUTO_UPDATE = ( + os.environ.get("RAG_RERANKING_MODEL_AUTO_UPDATE", "").lower() == "true" +) + +RAG_RERANKING_MODEL_TRUST_REMOTE_CODE = ( + os.environ.get("RAG_RERANKING_MODEL_TRUST_REMOTE_CODE", "").lower() == "true" +) + + +RAG_TEXT_SPLITTER = PersistentConfig( + "RAG_TEXT_SPLITTER", + "rag.text_splitter", + os.environ.get("RAG_TEXT_SPLITTER", ""), +) + + +TIKTOKEN_CACHE_DIR = os.environ.get("TIKTOKEN_CACHE_DIR", f"{CACHE_DIR}/tiktoken") +TIKTOKEN_ENCODING_NAME = PersistentConfig( + "TIKTOKEN_ENCODING_NAME", + "rag.tiktoken_encoding_name", + os.environ.get("TIKTOKEN_ENCODING_NAME", "cl100k_base"), +) + + +CHUNK_SIZE = PersistentConfig( + "CHUNK_SIZE", "rag.chunk_size", int(os.environ.get("CHUNK_SIZE", "1000")) +) +CHUNK_OVERLAP = PersistentConfig( + "CHUNK_OVERLAP", + "rag.chunk_overlap", + int(os.environ.get("CHUNK_OVERLAP", "100")), +) + +DEFAULT_RAG_TEMPLATE = """You are given a user query, some textual context and rules, all inside xml tags. You have to answer the query based on the context while respecting the rules. + + +{{CONTEXT}} + + + +- If you don't know, just say so. +- If you are not sure, ask for clarification. +- Answer in the same language as the user query. +- If the context appears unreadable or of poor quality, tell the user then answer as best as you can. +- If the answer is not in the context but you think you know the answer, explain that to the user then answer with your own knowledge. +- Answer directly and without using xml tags. + + + +{{QUERY}} + +""" + +RAG_TEMPLATE = PersistentConfig( + "RAG_TEMPLATE", + "rag.template", + os.environ.get("RAG_TEMPLATE", DEFAULT_RAG_TEMPLATE), +) + +RAG_OPENAI_API_BASE_URL = PersistentConfig( + "RAG_OPENAI_API_BASE_URL", + "rag.openai_api_base_url", + os.getenv("RAG_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL), +) +RAG_OPENAI_API_KEY = PersistentConfig( + "RAG_OPENAI_API_KEY", + "rag.openai_api_key", + os.getenv("RAG_OPENAI_API_KEY", OPENAI_API_KEY), +) + +ENABLE_RAG_LOCAL_WEB_FETCH = ( + os.getenv("ENABLE_RAG_LOCAL_WEB_FETCH", "False").lower() == "true" +) + +YOUTUBE_LOADER_LANGUAGE = PersistentConfig( + "YOUTUBE_LOADER_LANGUAGE", + "rag.youtube_loader_language", + os.getenv("YOUTUBE_LOADER_LANGUAGE", "en").split(","), +) + + +ENABLE_RAG_WEB_SEARCH = PersistentConfig( + "ENABLE_RAG_WEB_SEARCH", + "rag.web.search.enable", + os.getenv("ENABLE_RAG_WEB_SEARCH", "False").lower() == "true", +) + +RAG_WEB_SEARCH_ENGINE = PersistentConfig( + "RAG_WEB_SEARCH_ENGINE", + "rag.web.search.engine", + os.getenv("RAG_WEB_SEARCH_ENGINE", ""), +) + +# You can provide a list of your own websites to filter after performing a web search. +# This ensures the highest level of safety and reliability of the information sources. +RAG_WEB_SEARCH_DOMAIN_FILTER_LIST = PersistentConfig( + "RAG_WEB_SEARCH_DOMAIN_FILTER_LIST", + "rag.rag.web.search.domain.filter_list", + [ + # "wikipedia.com", + # "wikimedia.org", + # "wikidata.org", + ], +) + +SEARXNG_QUERY_URL = PersistentConfig( + "SEARXNG_QUERY_URL", + "rag.web.search.searxng_query_url", + os.getenv("SEARXNG_QUERY_URL", ""), +) + +GOOGLE_PSE_API_KEY = PersistentConfig( + "GOOGLE_PSE_API_KEY", + "rag.web.search.google_pse_api_key", + os.getenv("GOOGLE_PSE_API_KEY", ""), +) + +GOOGLE_PSE_ENGINE_ID = PersistentConfig( + "GOOGLE_PSE_ENGINE_ID", + "rag.web.search.google_pse_engine_id", + os.getenv("GOOGLE_PSE_ENGINE_ID", ""), +) + +BRAVE_SEARCH_API_KEY = PersistentConfig( + "BRAVE_SEARCH_API_KEY", + "rag.web.search.brave_search_api_key", + os.getenv("BRAVE_SEARCH_API_KEY", ""), +) + +SERPSTACK_API_KEY = PersistentConfig( + "SERPSTACK_API_KEY", + "rag.web.search.serpstack_api_key", + os.getenv("SERPSTACK_API_KEY", ""), +) + +SERPSTACK_HTTPS = PersistentConfig( + "SERPSTACK_HTTPS", + "rag.web.search.serpstack_https", + os.getenv("SERPSTACK_HTTPS", "True").lower() == "true", +) + +SERPER_API_KEY = PersistentConfig( + "SERPER_API_KEY", + "rag.web.search.serper_api_key", + os.getenv("SERPER_API_KEY", ""), +) + +SERPLY_API_KEY = PersistentConfig( + "SERPLY_API_KEY", + "rag.web.search.serply_api_key", + os.getenv("SERPLY_API_KEY", ""), +) + +TAVILY_API_KEY = PersistentConfig( + "TAVILY_API_KEY", + "rag.web.search.tavily_api_key", + os.getenv("TAVILY_API_KEY", ""), +) + +SEARCHAPI_API_KEY = PersistentConfig( + "SEARCHAPI_API_KEY", + "rag.web.search.searchapi_api_key", + os.getenv("SEARCHAPI_API_KEY", ""), +) + +SEARCHAPI_ENGINE = PersistentConfig( + "SEARCHAPI_ENGINE", + "rag.web.search.searchapi_engine", + os.getenv("SEARCHAPI_ENGINE", ""), +) + +RAG_WEB_SEARCH_RESULT_COUNT = PersistentConfig( + "RAG_WEB_SEARCH_RESULT_COUNT", + "rag.web.search.result_count", + int(os.getenv("RAG_WEB_SEARCH_RESULT_COUNT", "3")), +) + +RAG_WEB_SEARCH_CONCURRENT_REQUESTS = PersistentConfig( + "RAG_WEB_SEARCH_CONCURRENT_REQUESTS", + "rag.web.search.concurrent_requests", + int(os.getenv("RAG_WEB_SEARCH_CONCURRENT_REQUESTS", "10")), +) + + +#################################### +# Images +#################################### + +IMAGE_GENERATION_ENGINE = PersistentConfig( + "IMAGE_GENERATION_ENGINE", + "image_generation.engine", + os.getenv("IMAGE_GENERATION_ENGINE", "openai"), +) + +ENABLE_IMAGE_GENERATION = PersistentConfig( + "ENABLE_IMAGE_GENERATION", + "image_generation.enable", + os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true", +) +AUTOMATIC1111_BASE_URL = PersistentConfig( + "AUTOMATIC1111_BASE_URL", + "image_generation.automatic1111.base_url", + os.getenv("AUTOMATIC1111_BASE_URL", ""), +) +AUTOMATIC1111_API_AUTH = PersistentConfig( + "AUTOMATIC1111_API_AUTH", + "image_generation.automatic1111.api_auth", + os.getenv("AUTOMATIC1111_API_AUTH", ""), +) + +AUTOMATIC1111_CFG_SCALE = PersistentConfig( + "AUTOMATIC1111_CFG_SCALE", + "image_generation.automatic1111.cfg_scale", + ( + float(os.environ.get("AUTOMATIC1111_CFG_SCALE")) + if os.environ.get("AUTOMATIC1111_CFG_SCALE") + else None + ), +) + + +AUTOMATIC1111_SAMPLER = PersistentConfig( + "AUTOMATIC1111_SAMPLERE", + "image_generation.automatic1111.sampler", + ( + os.environ.get("AUTOMATIC1111_SAMPLER") + if os.environ.get("AUTOMATIC1111_SAMPLER") + else None + ), +) + +AUTOMATIC1111_SCHEDULER = PersistentConfig( + "AUTOMATIC1111_SCHEDULER", + "image_generation.automatic1111.scheduler", + ( + os.environ.get("AUTOMATIC1111_SCHEDULER") + if os.environ.get("AUTOMATIC1111_SCHEDULER") + else None + ), +) + +COMFYUI_BASE_URL = PersistentConfig( + "COMFYUI_BASE_URL", + "image_generation.comfyui.base_url", + os.getenv("COMFYUI_BASE_URL", ""), +) + +COMFYUI_DEFAULT_WORKFLOW = """ +{ + "3": { + "inputs": { + "seed": 0, + "steps": 20, + "cfg": 8, + "sampler_name": "euler", + "scheduler": "normal", + "denoise": 1, + "model": [ + "4", + 0 + ], + "positive": [ + "6", + 0 + ], + "negative": [ + "7", + 0 + ], + "latent_image": [ + "5", + 0 + ] + }, + "class_type": "KSampler", + "_meta": { + "title": "KSampler" + } + }, + "4": { + "inputs": { + "ckpt_name": "model.safetensors" + }, + "class_type": "CheckpointLoaderSimple", + "_meta": { + "title": "Load Checkpoint" + } + }, + "5": { + "inputs": { + "width": 512, + "height": 512, + "batch_size": 1 + }, + "class_type": "EmptyLatentImage", + "_meta": { + "title": "Empty Latent Image" + } + }, + "6": { + "inputs": { + "text": "Prompt", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "7": { + "inputs": { + "text": "", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "8": { + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + }, + "class_type": "VAEDecode", + "_meta": { + "title": "VAE Decode" + } + }, + "9": { + "inputs": { + "filename_prefix": "ComfyUI", + "images": [ + "8", + 0 + ] + }, + "class_type": "SaveImage", + "_meta": { + "title": "Save Image" + } + } +} +""" + + +COMFYUI_WORKFLOW = PersistentConfig( + "COMFYUI_WORKFLOW", + "image_generation.comfyui.workflow", + os.getenv("COMFYUI_WORKFLOW", COMFYUI_DEFAULT_WORKFLOW), +) + +COMFYUI_WORKFLOW_NODES = PersistentConfig( + "COMFYUI_WORKFLOW", + "image_generation.comfyui.nodes", + [], +) + +IMAGES_OPENAI_API_BASE_URL = PersistentConfig( + "IMAGES_OPENAI_API_BASE_URL", + "image_generation.openai.api_base_url", + os.getenv("IMAGES_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL), +) +IMAGES_OPENAI_API_KEY = PersistentConfig( + "IMAGES_OPENAI_API_KEY", + "image_generation.openai.api_key", + os.getenv("IMAGES_OPENAI_API_KEY", OPENAI_API_KEY), +) + +IMAGE_SIZE = PersistentConfig( + "IMAGE_SIZE", "image_generation.size", os.getenv("IMAGE_SIZE", "512x512") +) + +IMAGE_STEPS = PersistentConfig( + "IMAGE_STEPS", "image_generation.steps", int(os.getenv("IMAGE_STEPS", 50)) +) + +IMAGE_GENERATION_MODEL = PersistentConfig( + "IMAGE_GENERATION_MODEL", + "image_generation.model", + os.getenv("IMAGE_GENERATION_MODEL", ""), +) + +#################################### +# Audio +#################################### + +# Transcription +WHISPER_MODEL = PersistentConfig( + "WHISPER_MODEL", + "audio.stt.whisper_model", + os.getenv("WHISPER_MODEL", "base"), +) + +WHISPER_MODEL_DIR = os.getenv("WHISPER_MODEL_DIR", f"{CACHE_DIR}/whisper/models") +WHISPER_MODEL_AUTO_UPDATE = ( + os.environ.get("WHISPER_MODEL_AUTO_UPDATE", "").lower() == "true" +) + + +AUDIO_STT_OPENAI_API_BASE_URL = PersistentConfig( + "AUDIO_STT_OPENAI_API_BASE_URL", + "audio.stt.openai.api_base_url", + os.getenv("AUDIO_STT_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL), +) + +AUDIO_STT_OPENAI_API_KEY = PersistentConfig( + "AUDIO_STT_OPENAI_API_KEY", + "audio.stt.openai.api_key", + os.getenv("AUDIO_STT_OPENAI_API_KEY", OPENAI_API_KEY), +) + +AUDIO_STT_ENGINE = PersistentConfig( + "AUDIO_STT_ENGINE", + "audio.stt.engine", + os.getenv("AUDIO_STT_ENGINE", ""), +) + +AUDIO_STT_MODEL = PersistentConfig( + "AUDIO_STT_MODEL", + "audio.stt.model", + os.getenv("AUDIO_STT_MODEL", ""), +) + +AUDIO_TTS_OPENAI_API_BASE_URL = PersistentConfig( + "AUDIO_TTS_OPENAI_API_BASE_URL", + "audio.tts.openai.api_base_url", + os.getenv("AUDIO_TTS_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL), +) +AUDIO_TTS_OPENAI_API_KEY = PersistentConfig( + "AUDIO_TTS_OPENAI_API_KEY", + "audio.tts.openai.api_key", + os.getenv("AUDIO_TTS_OPENAI_API_KEY", OPENAI_API_KEY), +) + +AUDIO_TTS_API_KEY = PersistentConfig( + "AUDIO_TTS_API_KEY", + "audio.tts.api_key", + os.getenv("AUDIO_TTS_API_KEY", ""), +) + +AUDIO_TTS_ENGINE = PersistentConfig( + "AUDIO_TTS_ENGINE", + "audio.tts.engine", + os.getenv("AUDIO_TTS_ENGINE", ""), +) + + +AUDIO_TTS_MODEL = PersistentConfig( + "AUDIO_TTS_MODEL", + "audio.tts.model", + os.getenv("AUDIO_TTS_MODEL", "tts-1"), # OpenAI default model +) + +AUDIO_TTS_VOICE = PersistentConfig( + "AUDIO_TTS_VOICE", + "audio.tts.voice", + os.getenv("AUDIO_TTS_VOICE", "alloy"), # OpenAI default voice +) + +AUDIO_TTS_SPLIT_ON = PersistentConfig( + "AUDIO_TTS_SPLIT_ON", + "audio.tts.split_on", + os.getenv("AUDIO_TTS_SPLIT_ON", "punctuation"), +) + +AUDIO_TTS_AZURE_SPEECH_REGION = PersistentConfig( + "AUDIO_TTS_AZURE_SPEECH_REGION", + "audio.tts.azure.speech_region", + os.getenv("AUDIO_TTS_AZURE_SPEECH_REGION", "eastus"), +) + +AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT = PersistentConfig( + "AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT", + "audio.tts.azure.speech_output_format", + os.getenv( + "AUDIO_TTS_AZURE_SPEECH_OUTPUT_FORMAT", "audio-24khz-160kbitrate-mono-mp3" + ), +) diff --git a/backend/open_webui/constants.py b/backend/open_webui/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..d6f33af4a3f3538367787b14f7d2f51e1a1733e1 --- /dev/null +++ b/backend/open_webui/constants.py @@ -0,0 +1,115 @@ +from enum import Enum + + +class MESSAGES(str, Enum): + DEFAULT = lambda msg="": f"{msg if msg else ''}" + MODEL_ADDED = lambda model="": f"The model '{model}' has been added successfully." + MODEL_DELETED = ( + lambda model="": f"The model '{model}' has been deleted successfully." + ) + + +class WEBHOOK_MESSAGES(str, Enum): + DEFAULT = lambda msg="": f"{msg if msg else ''}" + USER_SIGNUP = lambda username="": ( + f"New user signed up: {username}" if username else "New user signed up" + ) + + +class ERROR_MESSAGES(str, Enum): + def __str__(self) -> str: + return super().__str__() + + DEFAULT = ( + lambda err="": f'{"Something went wrong :/" if err == "" else "[ERROR: " + str(err) + "]"}' + ) + ENV_VAR_NOT_FOUND = "Required environment variable not found. Terminating now." + CREATE_USER_ERROR = "Oops! Something went wrong while creating your account. Please try again later. If the issue persists, contact support for assistance." + DELETE_USER_ERROR = "Oops! Something went wrong. We encountered an issue while trying to delete the user. Please give it another shot." + EMAIL_MISMATCH = "Uh-oh! This email does not match the email your provider is registered with. Please check your email and try again." + EMAIL_TAKEN = "Uh-oh! This email is already registered. Sign in with your existing account or choose another email to start anew." + USERNAME_TAKEN = ( + "Uh-oh! This username is already registered. Please choose another username." + ) + COMMAND_TAKEN = "Uh-oh! This command is already registered. Please choose another command string." + FILE_EXISTS = "Uh-oh! This file is already registered. Please choose another file." + + ID_TAKEN = "Uh-oh! This id is already registered. Please choose another id string." + MODEL_ID_TAKEN = "Uh-oh! This model id is already registered. Please choose another model id string." + NAME_TAG_TAKEN = "Uh-oh! This name tag is already registered. Please choose another name tag string." + + INVALID_TOKEN = ( + "Your session has expired or the token is invalid. Please sign in again." + ) + INVALID_CRED = "The email or password provided is incorrect. Please check for typos and try logging in again." + INVALID_EMAIL_FORMAT = "The email format you entered is invalid. Please double-check and make sure you're using a valid email address (e.g., yourname@example.com)." + INVALID_PASSWORD = ( + "The password provided is incorrect. Please check for typos and try again." + ) + INVALID_TRUSTED_HEADER = "Your provider has not provided a trusted header. Please contact your administrator for assistance." + + EXISTING_USERS = "You can't turn off authentication because there are existing users. If you want to disable WEBUI_AUTH, make sure your web interface doesn't have any existing users and is a fresh installation." + + UNAUTHORIZED = "401 Unauthorized" + ACCESS_PROHIBITED = "You do not have permission to access this resource. Please contact your administrator for assistance." + ACTION_PROHIBITED = ( + "The requested action has been restricted as a security measure." + ) + + FILE_NOT_SENT = "FILE_NOT_SENT" + FILE_NOT_SUPPORTED = "Oops! It seems like the file format you're trying to upload is not supported. Please upload a file with a supported format (e.g., JPG, PNG, PDF, TXT) and try again." + + NOT_FOUND = "We could not find what you're looking for :/" + USER_NOT_FOUND = "We could not find what you're looking for :/" + API_KEY_NOT_FOUND = "Oops! It looks like there's a hiccup. The API key is missing. Please make sure to provide a valid API key to access this feature." + + MALICIOUS = "Unusual activities detected, please try again in a few minutes." + + PANDOC_NOT_INSTALLED = "Pandoc is not installed on the server. Please contact your administrator for assistance." + INCORRECT_FORMAT = ( + lambda err="": f"Invalid format. Please use the correct format{err}" + ) + RATE_LIMIT_EXCEEDED = "API rate limit exceeded" + + MODEL_NOT_FOUND = lambda name="": f"Model '{name}' was not found" + OPENAI_NOT_FOUND = lambda name="": "OpenAI API was not found" + OLLAMA_NOT_FOUND = "WebUI could not connect to Ollama" + CREATE_API_KEY_ERROR = "Oops! Something went wrong while creating your API key. Please try again later. If the issue persists, contact support for assistance." + + EMPTY_CONTENT = "The content provided is empty. Please ensure that there is text or data present before proceeding." + + DB_NOT_SQLITE = "This feature is only available when running with SQLite databases." + + INVALID_URL = ( + "Oops! The URL you provided is invalid. Please double-check and try again." + ) + + WEB_SEARCH_ERROR = ( + lambda err="": f"{err if err else 'Oops! Something went wrong while searching the web.'}" + ) + + OLLAMA_API_DISABLED = ( + "The Ollama API is disabled. Please enable it to use this feature." + ) + + FILE_TOO_LARGE = ( + lambda size="": f"Oops! The file you're trying to upload is too large. Please upload a file that is less than {size}." + ) + + DUPLICATE_CONTENT = ( + "Duplicate content detected. Please provide unique content to proceed." + ) + FILE_NOT_PROCESSED = "Extracted content is not available for this file. Please ensure that the file is processed before proceeding." + + +class TASKS(str, Enum): + def __str__(self) -> str: + return super().__str__() + + DEFAULT = lambda task="": f"{task if task else 'generation'}" + TITLE_GENERATION = "title_generation" + TAGS_GENERATION = "tags_generation" + EMOJI_GENERATION = "emoji_generation" + QUERY_GENERATION = "query_generation" + FUNCTION_CALLING = "function_calling" + MOA_RESPONSE_GENERATION = "moa_response_generation" diff --git a/backend/open_webui/env.py b/backend/open_webui/env.py new file mode 100644 index 0000000000000000000000000000000000000000..4b61e1a894dc086373e179286fc57930de06509f --- /dev/null +++ b/backend/open_webui/env.py @@ -0,0 +1,384 @@ +import importlib.metadata +import json +import logging +import os +import pkgutil +import sys +import shutil +from pathlib import Path + +import markdown +from bs4 import BeautifulSoup +from open_webui.constants import ERROR_MESSAGES + +#################################### +# Load .env file +#################################### + +OPEN_WEBUI_DIR = Path(__file__).parent # the path containing this file +print(OPEN_WEBUI_DIR) + +BACKEND_DIR = OPEN_WEBUI_DIR.parent # the path containing this file +BASE_DIR = BACKEND_DIR.parent # the path containing the backend/ + +print(BACKEND_DIR) +print(BASE_DIR) + +try: + from dotenv import find_dotenv, load_dotenv + + load_dotenv(find_dotenv(str(BASE_DIR / ".env"))) +except ImportError: + print("dotenv not installed, skipping...") + +DOCKER = os.environ.get("DOCKER", "False").lower() == "true" + +# device type embedding models - "cpu" (default), "cuda" (nvidia gpu required) or "mps" (apple silicon) - choosing this right can lead to better performance +USE_CUDA = os.environ.get("USE_CUDA_DOCKER", "false") + +if USE_CUDA.lower() == "true": + try: + import torch + + assert torch.cuda.is_available(), "CUDA not available" + DEVICE_TYPE = "cuda" + except Exception as e: + cuda_error = ( + "Error when testing CUDA but USE_CUDA_DOCKER is true. " + f"Resetting USE_CUDA_DOCKER to false: {e}" + ) + os.environ["USE_CUDA_DOCKER"] = "false" + USE_CUDA = "false" + DEVICE_TYPE = "cpu" +else: + DEVICE_TYPE = "cpu" + + +#################################### +# LOGGING +#################################### + +log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"] + +GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper() +if GLOBAL_LOG_LEVEL in log_levels: + logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True) +else: + GLOBAL_LOG_LEVEL = "INFO" + +log = logging.getLogger(__name__) +log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}") + +if "cuda_error" in locals(): + log.exception(cuda_error) + +log_sources = [ + "AUDIO", + "COMFYUI", + "CONFIG", + "DB", + "IMAGES", + "MAIN", + "MODELS", + "OLLAMA", + "OPENAI", + "RAG", + "WEBHOOK", + "SOCKET", +] + +SRC_LOG_LEVELS = {} + +for source in log_sources: + log_env_var = source + "_LOG_LEVEL" + SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper() + if SRC_LOG_LEVELS[source] not in log_levels: + SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL + log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}") + +log.setLevel(SRC_LOG_LEVELS["CONFIG"]) + + +WEBUI_NAME = os.environ.get("WEBUI_NAME", "Open WebUI") +if WEBUI_NAME != "Open WebUI": + WEBUI_NAME += " (Open WebUI)" + +WEBUI_URL = os.environ.get("WEBUI_URL", "http://localhost:3000") + +WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png" + + +#################################### +# ENV (dev,test,prod) +#################################### + +ENV = os.environ.get("ENV", "dev") + +FROM_INIT_PY = os.environ.get("FROM_INIT_PY", "False").lower() == "true" + +if FROM_INIT_PY: + PACKAGE_DATA = {"version": importlib.metadata.version("open-webui")} +else: + try: + PACKAGE_DATA = json.loads((BASE_DIR / "package.json").read_text()) + except Exception: + PACKAGE_DATA = {"version": "0.0.0"} + + +VERSION = PACKAGE_DATA["version"] + + +# Function to parse each section +def parse_section(section): + items = [] + for li in section.find_all("li"): + # Extract raw HTML string + raw_html = str(li) + + # Extract text without HTML tags + text = li.get_text(separator=" ", strip=True) + + # Split into title and content + parts = text.split(": ", 1) + title = parts[0].strip() if len(parts) > 1 else "" + content = parts[1].strip() if len(parts) > 1 else text + + items.append({"title": title, "content": content, "raw": raw_html}) + return items + + +try: + changelog_path = BASE_DIR / "CHANGELOG.md" + with open(str(changelog_path.absolute()), "r", encoding="utf8") as file: + changelog_content = file.read() + +except Exception: + changelog_content = (pkgutil.get_data("open_webui", "CHANGELOG.md") or b"").decode() + + +# Convert markdown content to HTML +html_content = markdown.markdown(changelog_content) + +# Parse the HTML content +soup = BeautifulSoup(html_content, "html.parser") + +# Initialize JSON structure +changelog_json = {} + +# Iterate over each version +for version in soup.find_all("h2"): + version_number = version.get_text().strip().split(" - ")[0][1:-1] # Remove brackets + date = version.get_text().strip().split(" - ")[1] + + version_data = {"date": date} + + # Find the next sibling that is a h3 tag (section title) + current = version.find_next_sibling() + + while current and current.name != "h2": + if current.name == "h3": + section_title = current.get_text().lower() # e.g., "added", "fixed" + section_items = parse_section(current.find_next_sibling("ul")) + version_data[section_title] = section_items + + # Move to the next element + current = current.find_next_sibling() + + changelog_json[version_number] = version_data + + +CHANGELOG = changelog_json + +#################################### +# SAFE_MODE +#################################### + +SAFE_MODE = os.environ.get("SAFE_MODE", "false").lower() == "true" + +#################################### +# WEBUI_BUILD_HASH +#################################### + +WEBUI_BUILD_HASH = os.environ.get("WEBUI_BUILD_HASH", "dev-build") + +#################################### +# DATA/FRONTEND BUILD DIR +#################################### + +DATA_DIR = Path(os.getenv("DATA_DIR", BACKEND_DIR / "data")).resolve() + +if FROM_INIT_PY: + NEW_DATA_DIR = Path(os.getenv("DATA_DIR", OPEN_WEBUI_DIR / "data")).resolve() + NEW_DATA_DIR.mkdir(parents=True, exist_ok=True) + + # Check if the data directory exists in the package directory + if DATA_DIR.exists() and DATA_DIR != NEW_DATA_DIR: + log.info(f"Moving {DATA_DIR} to {NEW_DATA_DIR}") + for item in DATA_DIR.iterdir(): + dest = NEW_DATA_DIR / item.name + if item.is_dir(): + shutil.copytree(item, dest, dirs_exist_ok=True) + else: + shutil.copy2(item, dest) + + # Zip the data directory + shutil.make_archive(DATA_DIR.parent / "open_webui_data", "zip", DATA_DIR) + + # Remove the old data directory + shutil.rmtree(DATA_DIR) + + DATA_DIR = Path(os.getenv("DATA_DIR", OPEN_WEBUI_DIR / "data")) + + +STATIC_DIR = Path(os.getenv("STATIC_DIR", OPEN_WEBUI_DIR / "static")) + +FONTS_DIR = Path(os.getenv("FONTS_DIR", OPEN_WEBUI_DIR / "static" / "fonts")) + +FRONTEND_BUILD_DIR = Path(os.getenv("FRONTEND_BUILD_DIR", BASE_DIR / "build")).resolve() + +if FROM_INIT_PY: + FRONTEND_BUILD_DIR = Path( + os.getenv("FRONTEND_BUILD_DIR", OPEN_WEBUI_DIR / "frontend") + ).resolve() + + +#################################### +# Database +#################################### + +# Check if the file exists +if os.path.exists(f"{DATA_DIR}/ollama.db"): + # Rename the file + os.rename(f"{DATA_DIR}/ollama.db", f"{DATA_DIR}/webui.db") + log.info("Database migrated from Ollama-WebUI successfully.") +else: + pass + +DATABASE_URL = os.environ.get("DATABASE_URL", f"sqlite:///{DATA_DIR}/webui.db") + +# Replace the postgres:// with postgresql:// +if "postgres://" in DATABASE_URL: + DATABASE_URL = DATABASE_URL.replace("postgres://", "postgresql://") + +DATABASE_POOL_SIZE = os.environ.get("DATABASE_POOL_SIZE", 0) + +if DATABASE_POOL_SIZE == "": + DATABASE_POOL_SIZE = 0 +else: + try: + DATABASE_POOL_SIZE = int(DATABASE_POOL_SIZE) + except Exception: + DATABASE_POOL_SIZE = 0 + +DATABASE_POOL_MAX_OVERFLOW = os.environ.get("DATABASE_POOL_MAX_OVERFLOW", 0) + +if DATABASE_POOL_MAX_OVERFLOW == "": + DATABASE_POOL_MAX_OVERFLOW = 0 +else: + try: + DATABASE_POOL_MAX_OVERFLOW = int(DATABASE_POOL_MAX_OVERFLOW) + except Exception: + DATABASE_POOL_MAX_OVERFLOW = 0 + +DATABASE_POOL_TIMEOUT = os.environ.get("DATABASE_POOL_TIMEOUT", 30) + +if DATABASE_POOL_TIMEOUT == "": + DATABASE_POOL_TIMEOUT = 30 +else: + try: + DATABASE_POOL_TIMEOUT = int(DATABASE_POOL_TIMEOUT) + except Exception: + DATABASE_POOL_TIMEOUT = 30 + +DATABASE_POOL_RECYCLE = os.environ.get("DATABASE_POOL_RECYCLE", 3600) + +if DATABASE_POOL_RECYCLE == "": + DATABASE_POOL_RECYCLE = 3600 +else: + try: + DATABASE_POOL_RECYCLE = int(DATABASE_POOL_RECYCLE) + except Exception: + DATABASE_POOL_RECYCLE = 3600 + +RESET_CONFIG_ON_START = ( + os.environ.get("RESET_CONFIG_ON_START", "False").lower() == "true" +) + +#################################### +# REDIS +#################################### + +REDIS_URL = os.environ.get("REDIS_URL", "redis://localhost:6379/0") + +#################################### +# WEBUI_AUTH (Required for security) +#################################### + +WEBUI_AUTH = os.environ.get("WEBUI_AUTH", "True").lower() == "true" +WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get( + "WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None +) +WEBUI_AUTH_TRUSTED_NAME_HEADER = os.environ.get("WEBUI_AUTH_TRUSTED_NAME_HEADER", None) + + +#################################### +# WEBUI_SECRET_KEY +#################################### + +WEBUI_SECRET_KEY = os.environ.get( + "WEBUI_SECRET_KEY", + os.environ.get( + "WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t" + ), # DEPRECATED: remove at next major version +) + +WEBUI_SESSION_COOKIE_SAME_SITE = os.environ.get( + "WEBUI_SESSION_COOKIE_SAME_SITE", + os.environ.get("WEBUI_SESSION_COOKIE_SAME_SITE", "lax"), +) + +WEBUI_SESSION_COOKIE_SECURE = os.environ.get( + "WEBUI_SESSION_COOKIE_SECURE", + os.environ.get("WEBUI_SESSION_COOKIE_SECURE", "false").lower() == "true", +) + +if WEBUI_AUTH and WEBUI_SECRET_KEY == "": + raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND) + +ENABLE_WEBSOCKET_SUPPORT = ( + os.environ.get("ENABLE_WEBSOCKET_SUPPORT", "True").lower() == "true" +) + +WEBSOCKET_MANAGER = os.environ.get("WEBSOCKET_MANAGER", "") + +WEBSOCKET_REDIS_URL = os.environ.get("WEBSOCKET_REDIS_URL", REDIS_URL) + +AIOHTTP_CLIENT_TIMEOUT = os.environ.get("AIOHTTP_CLIENT_TIMEOUT", "") + +if AIOHTTP_CLIENT_TIMEOUT == "": + AIOHTTP_CLIENT_TIMEOUT = None +else: + try: + AIOHTTP_CLIENT_TIMEOUT = int(AIOHTTP_CLIENT_TIMEOUT) + except Exception: + AIOHTTP_CLIENT_TIMEOUT = 300 + +AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = os.environ.get( + "AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST", "3" +) + +if AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST == "": + AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = None +else: + try: + AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = int( + AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST + ) + except Exception: + AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST = 3 + +#################################### +# OFFLINE_MODE +#################################### + +OFFLINE_MODE = os.environ.get("OFFLINE_MODE", "false").lower() == "true" diff --git a/backend/open_webui/main.py b/backend/open_webui/main.py new file mode 100644 index 0000000000000000000000000000000000000000..7b37e37b1607db55ade025bd529b51592bf01569 --- /dev/null +++ b/backend/open_webui/main.py @@ -0,0 +1,2455 @@ +import asyncio +import inspect +import json +import logging +import mimetypes +import os +import shutil +import sys +import time +import random +from contextlib import asynccontextmanager +from typing import Optional + +import aiohttp +import requests +from fastapi import ( + Depends, + FastAPI, + File, + Form, + HTTPException, + Request, + UploadFile, + status, +) +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import JSONResponse, RedirectResponse +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel +from sqlalchemy import text +from starlette.exceptions import HTTPException as StarletteHTTPException +from starlette.middleware.base import BaseHTTPMiddleware +from starlette.middleware.sessions import SessionMiddleware +from starlette.responses import Response, StreamingResponse + +from open_webui.apps.audio.main import app as audio_app +from open_webui.apps.images.main import app as images_app +from open_webui.apps.ollama.main import ( + app as ollama_app, + get_all_models as get_ollama_models, + generate_chat_completion as generate_ollama_chat_completion, + GenerateChatCompletionForm, +) +from open_webui.apps.openai.main import ( + app as openai_app, + generate_chat_completion as generate_openai_chat_completion, + get_all_models as get_openai_models, +) +from open_webui.apps.retrieval.main import app as retrieval_app +from open_webui.apps.retrieval.utils import get_rag_context, rag_template +from open_webui.apps.socket.main import ( + app as socket_app, + periodic_usage_pool_cleanup, + get_event_call, + get_event_emitter, +) +from open_webui.apps.webui.internal.db import Session +from open_webui.apps.webui.main import ( + app as webui_app, + generate_function_chat_completion, + get_all_models as get_open_webui_models, +) +from open_webui.apps.webui.models.functions import Functions +from open_webui.apps.webui.models.models import Models +from open_webui.apps.webui.models.users import UserModel, Users +from open_webui.apps.webui.utils import load_function_module_by_id +from open_webui.config import ( + CACHE_DIR, + CORS_ALLOW_ORIGIN, + DEFAULT_LOCALE, + ENABLE_ADMIN_CHAT_ACCESS, + ENABLE_ADMIN_EXPORT, + ENABLE_MODEL_FILTER, + ENABLE_OLLAMA_API, + ENABLE_OPENAI_API, + ENV, + FRONTEND_BUILD_DIR, + MODEL_FILTER_LIST, + OAUTH_PROVIDERS, + ENABLE_SEARCH_QUERY, + SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE, + STATIC_DIR, + TASK_MODEL, + TASK_MODEL_EXTERNAL, + TITLE_GENERATION_PROMPT_TEMPLATE, + TAGS_GENERATION_PROMPT_TEMPLATE, + TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE, + WEBHOOK_URL, + WEBUI_AUTH, + WEBUI_NAME, + AppConfig, + reset_config, +) +from open_webui.constants import TASKS +from open_webui.env import ( + CHANGELOG, + GLOBAL_LOG_LEVEL, + SAFE_MODE, + SRC_LOG_LEVELS, + VERSION, + WEBUI_BUILD_HASH, + WEBUI_SECRET_KEY, + WEBUI_SESSION_COOKIE_SAME_SITE, + WEBUI_SESSION_COOKIE_SECURE, + WEBUI_URL, + RESET_CONFIG_ON_START, + OFFLINE_MODE, +) +from open_webui.utils.misc import ( + add_or_update_system_message, + get_last_user_message, + prepend_to_first_user_message_content, +) +from open_webui.utils.oauth import oauth_manager +from open_webui.utils.payload import convert_payload_openai_to_ollama +from open_webui.utils.response import ( + convert_response_ollama_to_openai, + convert_streaming_response_ollama_to_openai, +) +from open_webui.utils.security_headers import SecurityHeadersMiddleware +from open_webui.utils.task import ( + moa_response_generation_template, + tags_generation_template, + search_query_generation_template, + emoji_generation_template, + title_generation_template, + tools_function_calling_generation_template, +) +from open_webui.utils.tools import get_tools +from open_webui.utils.utils import ( + decode_token, + get_admin_user, + get_current_user, + get_http_authorization_cred, + get_verified_user, +) + +if SAFE_MODE: + print("SAFE MODE ENABLED") + Functions.deactivate_all_functions() + +logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL) +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["MAIN"]) + + +class SPAStaticFiles(StaticFiles): + async def get_response(self, path: str, scope): + try: + return await super().get_response(path, scope) + except (HTTPException, StarletteHTTPException) as ex: + if ex.status_code == 404: + return await super().get_response("index.html", scope) + else: + raise ex + + +print( + rf""" + ___ __ __ _ _ _ ___ + / _ \ _ __ ___ _ __ \ \ / /__| |__ | | | |_ _| +| | | | '_ \ / _ \ '_ \ \ \ /\ / / _ \ '_ \| | | || | +| |_| | |_) | __/ | | | \ V V / __/ |_) | |_| || | + \___/| .__/ \___|_| |_| \_/\_/ \___|_.__/ \___/|___| + |_| + + +v{VERSION} - building the best open-source AI user interface. +{f"Commit: {WEBUI_BUILD_HASH}" if WEBUI_BUILD_HASH != "dev-build" else ""} +https://github.com/open-webui/open-webui +""" +) + + +@asynccontextmanager +async def lifespan(app: FastAPI): + if RESET_CONFIG_ON_START: + reset_config() + + asyncio.create_task(periodic_usage_pool_cleanup()) + yield + + +app = FastAPI( + docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None, lifespan=lifespan +) + +app.state.config = AppConfig() + +app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API +app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API + +app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER +app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST + +app.state.config.WEBHOOK_URL = WEBHOOK_URL + +app.state.config.TASK_MODEL = TASK_MODEL +app.state.config.TASK_MODEL_EXTERNAL = TASK_MODEL_EXTERNAL +app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE = TITLE_GENERATION_PROMPT_TEMPLATE +app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE = TAGS_GENERATION_PROMPT_TEMPLATE +app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE = ( + SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE +) +app.state.config.ENABLE_SEARCH_QUERY = ENABLE_SEARCH_QUERY +app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = ( + TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE +) + +app.state.MODELS = {} + + +################################## +# +# ChatCompletion Middleware +# +################################## + + +def get_task_model_id(default_model_id): + # Set the task model + task_model_id = default_model_id + # Check if the user has a custom task model and use that model + if app.state.MODELS[task_model_id]["owned_by"] == "ollama": + if ( + app.state.config.TASK_MODEL + and app.state.config.TASK_MODEL in app.state.MODELS + ): + task_model_id = app.state.config.TASK_MODEL + else: + if ( + app.state.config.TASK_MODEL_EXTERNAL + and app.state.config.TASK_MODEL_EXTERNAL in app.state.MODELS + ): + task_model_id = app.state.config.TASK_MODEL_EXTERNAL + + return task_model_id + + +def get_filter_function_ids(model): + def get_priority(function_id): + function = Functions.get_function_by_id(function_id) + if function is not None and hasattr(function, "valves"): + # TODO: Fix FunctionModel + return (function.valves if function.valves else {}).get("priority", 0) + return 0 + + filter_ids = [function.id for function in Functions.get_global_filter_functions()] + if "info" in model and "meta" in model["info"]: + filter_ids.extend(model["info"]["meta"].get("filterIds", [])) + filter_ids = list(set(filter_ids)) + + enabled_filter_ids = [ + function.id + for function in Functions.get_functions_by_type("filter", active_only=True) + ] + + filter_ids = [ + filter_id for filter_id in filter_ids if filter_id in enabled_filter_ids + ] + + filter_ids.sort(key=get_priority) + return filter_ids + + +async def chat_completion_filter_functions_handler(body, model, extra_params): + skip_files = None + + filter_ids = get_filter_function_ids(model) + for filter_id in filter_ids: + filter = Functions.get_function_by_id(filter_id) + if not filter: + continue + + if filter_id in webui_app.state.FUNCTIONS: + function_module = webui_app.state.FUNCTIONS[filter_id] + else: + function_module, _, _ = load_function_module_by_id(filter_id) + webui_app.state.FUNCTIONS[filter_id] = function_module + + # Check if the function has a file_handler variable + if hasattr(function_module, "file_handler"): + skip_files = function_module.file_handler + + if hasattr(function_module, "valves") and hasattr(function_module, "Valves"): + valves = Functions.get_function_valves_by_id(filter_id) + function_module.valves = function_module.Valves( + **(valves if valves else {}) + ) + + if not hasattr(function_module, "inlet"): + continue + + try: + inlet = function_module.inlet + + # Get the signature of the function + sig = inspect.signature(inlet) + params = {"body": body} | { + k: v + for k, v in { + **extra_params, + "__model__": model, + "__id__": filter_id, + }.items() + if k in sig.parameters + } + + if "__user__" in params and hasattr(function_module, "UserValves"): + try: + params["__user__"]["valves"] = function_module.UserValves( + **Functions.get_user_valves_by_id_and_user_id( + filter_id, params["__user__"]["id"] + ) + ) + except Exception as e: + print(e) + + if inspect.iscoroutinefunction(inlet): + body = await inlet(**params) + else: + body = inlet(**params) + + except Exception as e: + print(f"Error: {e}") + raise e + + if skip_files and "files" in body.get("metadata", {}): + del body["metadata"]["files"] + + return body, {} + + +def get_tools_function_calling_payload(messages, task_model_id, content): + user_message = get_last_user_message(messages) + history = "\n".join( + f"{message['role'].upper()}: \"\"\"{message['content']}\"\"\"" + for message in messages[::-1][:4] + ) + + prompt = f"History:\n{history}\nQuery: {user_message}" + + return { + "model": task_model_id, + "messages": [ + {"role": "system", "content": content}, + {"role": "user", "content": f"Query: {prompt}"}, + ], + "stream": False, + "metadata": {"task": str(TASKS.FUNCTION_CALLING)}, + } + + +async def get_content_from_response(response) -> Optional[str]: + content = None + if hasattr(response, "body_iterator"): + async for chunk in response.body_iterator: + data = json.loads(chunk.decode("utf-8")) + content = data["choices"][0]["message"]["content"] + + # Cleanup any remaining background tasks if necessary + if response.background is not None: + await response.background() + else: + content = response["choices"][0]["message"]["content"] + return content + + +async def chat_completion_tools_handler( + body: dict, user: UserModel, extra_params: dict +) -> tuple[dict, dict]: + # If tool_ids field is present, call the functions + metadata = body.get("metadata", {}) + + tool_ids = metadata.get("tool_ids", None) + log.debug(f"{tool_ids=}") + if not tool_ids: + return body, {} + + skip_files = False + contexts = [] + citations = [] + + task_model_id = get_task_model_id(body["model"]) + tools = get_tools( + webui_app, + tool_ids, + user, + { + **extra_params, + "__model__": app.state.MODELS[task_model_id], + "__messages__": body["messages"], + "__files__": metadata.get("files", []), + }, + ) + log.info(f"{tools=}") + + specs = [tool["spec"] for tool in tools.values()] + tools_specs = json.dumps(specs) + + if app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE != "": + template = app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE + else: + template = """Available Tools: {{TOOLS}}\nReturn an empty string if no tools match the query. If a function tool matches, construct and return a JSON object in the format {\"name\": \"functionName\", \"parameters\": {\"requiredFunctionParamKey\": \"requiredFunctionParamValue\"}} using the appropriate tool and its parameters. Only return the object and limit the response to the JSON object without additional text.""" + + tools_function_calling_prompt = tools_function_calling_generation_template( + template, tools_specs + ) + log.info(f"{tools_function_calling_prompt=}") + payload = get_tools_function_calling_payload( + body["messages"], task_model_id, tools_function_calling_prompt + ) + + try: + payload = filter_pipeline(payload, user) + except Exception as e: + raise e + + try: + response = await generate_chat_completions(form_data=payload, user=user) + log.debug(f"{response=}") + content = await get_content_from_response(response) + log.debug(f"{content=}") + + if not content: + return body, {} + + try: + content = content[content.find("{") : content.rfind("}") + 1] + if not content: + raise Exception("No JSON object found in the response") + + result = json.loads(content) + + tool_function_name = result.get("name", None) + if tool_function_name not in tools: + return body, {} + + tool_function_params = result.get("parameters", {}) + + try: + required_params = ( + tools[tool_function_name] + .get("spec", {}) + .get("parameters", {}) + .get("required", []) + ) + tool_function = tools[tool_function_name]["callable"] + tool_function_params = { + k: v + for k, v in tool_function_params.items() + if k in required_params + } + tool_output = await tool_function(**tool_function_params) + + except Exception as e: + tool_output = str(e) + + if tools[tool_function_name]["citation"]: + citations.append( + { + "source": { + "name": f"TOOL:{tools[tool_function_name]['toolkit_id']}/{tool_function_name}" + }, + "document": [tool_output], + "metadata": [{"source": tool_function_name}], + } + ) + if tools[tool_function_name]["file_handler"]: + skip_files = True + + if isinstance(tool_output, str): + contexts.append(tool_output) + except Exception as e: + log.exception(f"Error: {e}") + content = None + except Exception as e: + log.exception(f"Error: {e}") + content = None + + log.debug(f"tool_contexts: {contexts}") + + if skip_files and "files" in body.get("metadata", {}): + del body["metadata"]["files"] + + return body, {"contexts": contexts, "citations": citations} + + +async def chat_completion_files_handler(body) -> tuple[dict, dict[str, list]]: + contexts = [] + citations = [] + + if files := body.get("metadata", {}).get("files", None): + contexts, citations = get_rag_context( + files=files, + messages=body["messages"], + embedding_function=retrieval_app.state.EMBEDDING_FUNCTION, + k=retrieval_app.state.config.TOP_K, + reranking_function=retrieval_app.state.sentence_transformer_rf, + r=retrieval_app.state.config.RELEVANCE_THRESHOLD, + hybrid_search=retrieval_app.state.config.ENABLE_RAG_HYBRID_SEARCH, + ) + + log.debug(f"rag_contexts: {contexts}, citations: {citations}") + + return body, {"contexts": contexts, "citations": citations} + + +def is_chat_completion_request(request): + return request.method == "POST" and any( + endpoint in request.url.path + for endpoint in ["/ollama/api/chat", "/chat/completions"] + ) + + +async def get_body_and_model_and_user(request): + # Read the original request body + body = await request.body() + body_str = body.decode("utf-8") + body = json.loads(body_str) if body_str else {} + + model_id = body["model"] + if model_id not in app.state.MODELS: + raise Exception("Model not found") + model = app.state.MODELS[model_id] + + user = get_current_user( + request, + get_http_authorization_cred(request.headers.get("Authorization")), + ) + + return body, model, user + + +class ChatCompletionMiddleware(BaseHTTPMiddleware): + async def dispatch(self, request: Request, call_next): + if not is_chat_completion_request(request): + return await call_next(request) + log.debug(f"request.url.path: {request.url.path}") + + try: + body, model, user = await get_body_and_model_and_user(request) + except Exception as e: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + + metadata = { + "chat_id": body.pop("chat_id", None), + "message_id": body.pop("id", None), + "session_id": body.pop("session_id", None), + "tool_ids": body.get("tool_ids", None), + "files": body.get("files", None), + } + body["metadata"] = metadata + + extra_params = { + "__event_emitter__": get_event_emitter(metadata), + "__event_call__": get_event_call(metadata), + "__user__": { + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + }, + } + + # Initialize data_items to store additional data to be sent to the client + # Initialize contexts and citation + data_items = [] + contexts = [] + citations = [] + + try: + body, flags = await chat_completion_filter_functions_handler( + body, model, extra_params + ) + except Exception as e: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + + metadata = { + **metadata, + "tool_ids": body.pop("tool_ids", None), + "files": body.pop("files", None), + } + body["metadata"] = metadata + + try: + body, flags = await chat_completion_tools_handler(body, user, extra_params) + contexts.extend(flags.get("contexts", [])) + citations.extend(flags.get("citations", [])) + except Exception as e: + log.exception(e) + + try: + body, flags = await chat_completion_files_handler(body) + contexts.extend(flags.get("contexts", [])) + citations.extend(flags.get("citations", [])) + except Exception as e: + log.exception(e) + + # If context is not empty, insert it into the messages + if len(contexts) > 0: + context_string = "/n".join(contexts).strip() + prompt = get_last_user_message(body["messages"]) + + if prompt is None: + raise Exception("No user message found") + if ( + retrieval_app.state.config.RELEVANCE_THRESHOLD == 0 + and context_string.strip() == "" + ): + log.debug( + f"With a 0 relevancy threshold for RAG, the context cannot be empty" + ) + + # Workaround for Ollama 2.0+ system prompt issue + # TODO: replace with add_or_update_system_message + if model["owned_by"] == "ollama": + body["messages"] = prepend_to_first_user_message_content( + rag_template( + retrieval_app.state.config.RAG_TEMPLATE, context_string, prompt + ), + body["messages"], + ) + else: + body["messages"] = add_or_update_system_message( + rag_template( + retrieval_app.state.config.RAG_TEMPLATE, context_string, prompt + ), + body["messages"], + ) + + # If there are citations, add them to the data_items + if len(citations) > 0: + data_items.append({"citations": citations}) + + modified_body_bytes = json.dumps(body).encode("utf-8") + # Replace the request body with the modified one + request._body = modified_body_bytes + # Set custom header to ensure content-length matches new body length + request.headers.__dict__["_list"] = [ + (b"content-length", str(len(modified_body_bytes)).encode("utf-8")), + *[(k, v) for k, v in request.headers.raw if k.lower() != b"content-length"], + ] + + response = await call_next(request) + if not isinstance(response, StreamingResponse): + return response + + content_type = response.headers["Content-Type"] + is_openai = "text/event-stream" in content_type + is_ollama = "application/x-ndjson" in content_type + if not is_openai and not is_ollama: + return response + + def wrap_item(item): + return f"data: {item}\n\n" if is_openai else f"{item}\n" + + async def stream_wrapper(original_generator, data_items): + for item in data_items: + yield wrap_item(json.dumps(item)) + + async for data in original_generator: + yield data + + return StreamingResponse( + stream_wrapper(response.body_iterator, data_items), + headers=dict(response.headers), + ) + + async def _receive(self, body: bytes): + return {"type": "http.request", "body": body, "more_body": False} + + +app.add_middleware(ChatCompletionMiddleware) + + +################################## +# +# Pipeline Middleware +# +################################## + + +def get_sorted_filters(model_id): + filters = [ + model + for model in app.state.MODELS.values() + if "pipeline" in model + and "type" in model["pipeline"] + and model["pipeline"]["type"] == "filter" + and ( + model["pipeline"]["pipelines"] == ["*"] + or any( + model_id == target_model_id + for target_model_id in model["pipeline"]["pipelines"] + ) + ) + ] + sorted_filters = sorted(filters, key=lambda x: x["pipeline"]["priority"]) + return sorted_filters + + +def filter_pipeline(payload, user): + user = {"id": user.id, "email": user.email, "name": user.name, "role": user.role} + model_id = payload["model"] + sorted_filters = get_sorted_filters(model_id) + + model = app.state.MODELS[model_id] + + if "pipeline" in model: + sorted_filters.append(model) + + for filter in sorted_filters: + r = None + try: + urlIdx = filter["urlIdx"] + + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + if key == "": + continue + + headers = {"Authorization": f"Bearer {key}"} + r = requests.post( + f"{url}/{filter['id']}/filter/inlet", + headers=headers, + json={ + "user": user, + "body": payload, + }, + ) + + r.raise_for_status() + payload = r.json() + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + if r is not None: + res = r.json() + if "detail" in res: + raise Exception(r.status_code, res["detail"]) + + return payload + + +class PipelineMiddleware(BaseHTTPMiddleware): + async def dispatch(self, request: Request, call_next): + if not is_chat_completion_request(request): + return await call_next(request) + + log.debug(f"request.url.path: {request.url.path}") + + # Read the original request body + body = await request.body() + # Decode body to string + body_str = body.decode("utf-8") + # Parse string to JSON + data = json.loads(body_str) if body_str else {} + + try: + user = get_current_user( + request, + get_http_authorization_cred(request.headers["Authorization"]), + ) + except KeyError as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_401_UNAUTHORIZED, + content={"detail": "Not authenticated"}, + ) + + try: + data = filter_pipeline(data, user) + except Exception as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + + modified_body_bytes = json.dumps(data).encode("utf-8") + # Replace the request body with the modified one + request._body = modified_body_bytes + # Set custom header to ensure content-length matches new body length + request.headers.__dict__["_list"] = [ + (b"content-length", str(len(modified_body_bytes)).encode("utf-8")), + *[(k, v) for k, v in request.headers.raw if k.lower() != b"content-length"], + ] + + response = await call_next(request) + return response + + async def _receive(self, body: bytes): + return {"type": "http.request", "body": body, "more_body": False} + + +app.add_middleware(PipelineMiddleware) + + +from urllib.parse import urlencode, parse_qs, urlparse + + +class RedirectMiddleware(BaseHTTPMiddleware): + async def dispatch(self, request: Request, call_next): + # Check if the request is a GET request + if request.method == "GET": + path = request.url.path + query_params = dict(parse_qs(urlparse(str(request.url)).query)) + + # Check for the specific watch path and the presence of 'v' parameter + if path.endswith("/watch") and "v" in query_params: + video_id = query_params["v"][0] # Extract the first 'v' parameter + encoded_video_id = urlencode({"youtube": video_id}) + redirect_url = f"/?{encoded_video_id}" + return RedirectResponse(url=redirect_url) + + # Proceed with the normal flow of other requests + response = await call_next(request) + return response + + +# Add the middleware to the app +app.add_middleware(RedirectMiddleware) + + +app.add_middleware( + CORSMiddleware, + allow_origins=CORS_ALLOW_ORIGIN, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.add_middleware(SecurityHeadersMiddleware) + + +@app.middleware("http") +async def commit_session_after_request(request: Request, call_next): + response = await call_next(request) + log.debug("Commit session after request") + Session.commit() + return response + + +@app.middleware("http") +async def check_url(request: Request, call_next): + if len(app.state.MODELS) == 0: + await get_all_models() + else: + pass + + start_time = int(time.time()) + response = await call_next(request) + process_time = int(time.time()) - start_time + response.headers["X-Process-Time"] = str(process_time) + + return response + + +@app.middleware("http") +async def update_embedding_function(request: Request, call_next): + response = await call_next(request) + if "/embedding/update" in request.url.path: + webui_app.state.EMBEDDING_FUNCTION = retrieval_app.state.EMBEDDING_FUNCTION + return response + + +@app.middleware("http") +async def inspect_websocket(request: Request, call_next): + if ( + "/ws/socket.io" in request.url.path + and request.query_params.get("transport") == "websocket" + ): + upgrade = (request.headers.get("Upgrade") or "").lower() + connection = (request.headers.get("Connection") or "").lower().split(",") + # Check that there's the correct headers for an upgrade, else reject the connection + # This is to work around this upstream issue: https://github.com/miguelgrinberg/python-engineio/issues/367 + if upgrade != "websocket" or "upgrade" not in connection: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": "Invalid WebSocket upgrade request"}, + ) + return await call_next(request) + + +app.mount("/ws", socket_app) +app.mount("/ollama", ollama_app) +app.mount("/openai", openai_app) + +app.mount("/images/api/v1", images_app) +app.mount("/audio/api/v1", audio_app) +app.mount("/retrieval/api/v1", retrieval_app) + +app.mount("/api/v1", webui_app) + + +webui_app.state.EMBEDDING_FUNCTION = retrieval_app.state.EMBEDDING_FUNCTION + + +async def get_all_models(): + # TODO: Optimize this function + open_webui_models = [] + openai_models = [] + ollama_models = [] + + if app.state.config.ENABLE_OPENAI_API: + openai_models = await get_openai_models() + openai_models = openai_models["data"] + + if app.state.config.ENABLE_OLLAMA_API: + ollama_models = await get_ollama_models() + ollama_models = [ + { + "id": model["model"], + "name": model["name"], + "object": "model", + "created": int(time.time()), + "owned_by": "ollama", + "ollama": model, + } + for model in ollama_models["models"] + ] + + open_webui_models = await get_open_webui_models() + + models = open_webui_models + openai_models + ollama_models + + # If there are no models, return an empty list + if len([model for model in models if model["owned_by"] != "arena"]) == 0: + return [] + + global_action_ids = [ + function.id for function in Functions.get_global_action_functions() + ] + enabled_action_ids = [ + function.id + for function in Functions.get_functions_by_type("action", active_only=True) + ] + + custom_models = Models.get_all_models() + for custom_model in custom_models: + if custom_model.base_model_id is None: + for model in models: + if ( + custom_model.id == model["id"] + or custom_model.id == model["id"].split(":")[0] + ): + model["name"] = custom_model.name + model["info"] = custom_model.model_dump() + + action_ids = [] + if "info" in model and "meta" in model["info"]: + action_ids.extend(model["info"]["meta"].get("actionIds", [])) + + model["action_ids"] = action_ids + else: + owned_by = "openai" + pipe = None + action_ids = [] + + for model in models: + if ( + custom_model.base_model_id == model["id"] + or custom_model.base_model_id == model["id"].split(":")[0] + ): + owned_by = model["owned_by"] + if "pipe" in model: + pipe = model["pipe"] + break + + if custom_model.meta: + meta = custom_model.meta.model_dump() + if "actionIds" in meta: + action_ids.extend(meta["actionIds"]) + + models.append( + { + "id": custom_model.id, + "name": custom_model.name, + "object": "model", + "created": custom_model.created_at, + "owned_by": owned_by, + "info": custom_model.model_dump(), + "preset": True, + **({"pipe": pipe} if pipe is not None else {}), + "action_ids": action_ids, + } + ) + + for model in models: + action_ids = [] + if "action_ids" in model: + action_ids = model["action_ids"] + del model["action_ids"] + + action_ids = action_ids + global_action_ids + action_ids = list(set(action_ids)) + action_ids = [ + action_id for action_id in action_ids if action_id in enabled_action_ids + ] + + model["actions"] = [] + for action_id in action_ids: + action = Functions.get_function_by_id(action_id) + if action is None: + raise Exception(f"Action not found: {action_id}") + + if action_id in webui_app.state.FUNCTIONS: + function_module = webui_app.state.FUNCTIONS[action_id] + else: + function_module, _, _ = load_function_module_by_id(action_id) + webui_app.state.FUNCTIONS[action_id] = function_module + + __webui__ = False + if hasattr(function_module, "__webui__"): + __webui__ = function_module.__webui__ + + if hasattr(function_module, "actions"): + actions = function_module.actions + model["actions"].extend( + [ + { + "id": f"{action_id}.{_action['id']}", + "name": _action.get( + "name", f"{action.name} ({_action['id']})" + ), + "description": action.meta.description, + "icon_url": _action.get( + "icon_url", action.meta.manifest.get("icon_url", None) + ), + **({"__webui__": __webui__} if __webui__ else {}), + } + for _action in actions + ] + ) + else: + model["actions"].append( + { + "id": action_id, + "name": action.name, + "description": action.meta.description, + "icon_url": action.meta.manifest.get("icon_url", None), + **({"__webui__": __webui__} if __webui__ else {}), + } + ) + + app.state.MODELS = {model["id"]: model for model in models} + webui_app.state.MODELS = app.state.MODELS + + return models + + +@app.get("/api/models") +async def get_models(user=Depends(get_verified_user)): + models = await get_all_models() + + # Filter out filter pipelines + models = [ + model + for model in models + if "pipeline" not in model or model["pipeline"].get("type", None) != "filter" + ] + + if app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user": + models = list( + filter( + lambda model: model["id"] in app.state.config.MODEL_FILTER_LIST, + models, + ) + ) + return {"data": models} + + return {"data": models} + + +@app.post("/api/chat/completions") +async def generate_chat_completions( + form_data: dict, user=Depends(get_verified_user), bypass_filter: bool = False +): + model_id = form_data["model"] + + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + + if not bypass_filter and app.state.config.ENABLE_MODEL_FILTER: + if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Model not found", + ) + + model = app.state.MODELS[model_id] + + if model["owned_by"] == "arena": + model_ids = model.get("info", {}).get("meta", {}).get("model_ids") + filter_mode = model.get("info", {}).get("meta", {}).get("filter_mode") + if model_ids and filter_mode == "exclude": + model_ids = [ + model["id"] + for model in await get_all_models() + if model.get("owned_by") != "arena" + and not model.get("info", {}).get("meta", {}).get("hidden", False) + and model["id"] not in model_ids + ] + + selected_model_id = None + if isinstance(model_ids, list) and model_ids: + selected_model_id = random.choice(model_ids) + else: + model_ids = [ + model["id"] + for model in await get_all_models() + if model.get("owned_by") != "arena" + and not model.get("info", {}).get("meta", {}).get("hidden", False) + ] + selected_model_id = random.choice(model_ids) + + form_data["model"] = selected_model_id + + if form_data.get("stream") == True: + + async def stream_wrapper(stream): + yield f"data: {json.dumps({'selected_model_id': selected_model_id})}\n\n" + async for chunk in stream: + yield chunk + + response = await generate_chat_completions( + form_data, user, bypass_filter=True + ) + return StreamingResponse( + stream_wrapper(response.body_iterator), media_type="text/event-stream" + ) + else: + return { + **( + await generate_chat_completions(form_data, user, bypass_filter=True) + ), + "selected_model_id": selected_model_id, + } + if model.get("pipe"): + return await generate_function_chat_completion(form_data, user=user) + if model["owned_by"] == "ollama": + # Using /ollama/api/chat endpoint + form_data = convert_payload_openai_to_ollama(form_data) + form_data = GenerateChatCompletionForm(**form_data) + response = await generate_ollama_chat_completion( + form_data=form_data, user=user, bypass_filter=True + ) + if form_data.stream: + response.headers["content-type"] = "text/event-stream" + return StreamingResponse( + convert_streaming_response_ollama_to_openai(response), + headers=dict(response.headers), + ) + else: + return convert_response_ollama_to_openai(response) + else: + return await generate_openai_chat_completion(form_data, user=user) + + +@app.post("/api/chat/completed") +async def chat_completed(form_data: dict, user=Depends(get_verified_user)): + data = form_data + model_id = data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + model = app.state.MODELS[model_id] + + sorted_filters = get_sorted_filters(model_id) + if "pipeline" in model: + sorted_filters = [model] + sorted_filters + + for filter in sorted_filters: + r = None + try: + urlIdx = filter["urlIdx"] + + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + if key != "": + headers = {"Authorization": f"Bearer {key}"} + r = requests.post( + f"{url}/{filter['id']}/filter/outlet", + headers=headers, + json={ + "user": { + "id": user.id, + "name": user.name, + "email": user.email, + "role": user.role, + }, + "body": data, + }, + ) + + r.raise_for_status() + data = r.json() + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + if r is not None: + try: + res = r.json() + if "detail" in res: + return JSONResponse( + status_code=r.status_code, + content=res, + ) + except Exception: + pass + + else: + pass + + __event_emitter__ = get_event_emitter( + { + "chat_id": data["chat_id"], + "message_id": data["id"], + "session_id": data["session_id"], + } + ) + + __event_call__ = get_event_call( + { + "chat_id": data["chat_id"], + "message_id": data["id"], + "session_id": data["session_id"], + } + ) + + def get_priority(function_id): + function = Functions.get_function_by_id(function_id) + if function is not None and hasattr(function, "valves"): + # TODO: Fix FunctionModel to include vavles + return (function.valves if function.valves else {}).get("priority", 0) + return 0 + + filter_ids = [function.id for function in Functions.get_global_filter_functions()] + if "info" in model and "meta" in model["info"]: + filter_ids.extend(model["info"]["meta"].get("filterIds", [])) + filter_ids = list(set(filter_ids)) + + enabled_filter_ids = [ + function.id + for function in Functions.get_functions_by_type("filter", active_only=True) + ] + filter_ids = [ + filter_id for filter_id in filter_ids if filter_id in enabled_filter_ids + ] + + # Sort filter_ids by priority, using the get_priority function + filter_ids.sort(key=get_priority) + + for filter_id in filter_ids: + filter = Functions.get_function_by_id(filter_id) + if not filter: + continue + + if filter_id in webui_app.state.FUNCTIONS: + function_module = webui_app.state.FUNCTIONS[filter_id] + else: + function_module, _, _ = load_function_module_by_id(filter_id) + webui_app.state.FUNCTIONS[filter_id] = function_module + + if hasattr(function_module, "valves") and hasattr(function_module, "Valves"): + valves = Functions.get_function_valves_by_id(filter_id) + function_module.valves = function_module.Valves( + **(valves if valves else {}) + ) + + if not hasattr(function_module, "outlet"): + continue + try: + outlet = function_module.outlet + + # Get the signature of the function + sig = inspect.signature(outlet) + params = {"body": data} + + # Extra parameters to be passed to the function + extra_params = { + "__model__": model, + "__id__": filter_id, + "__event_emitter__": __event_emitter__, + "__event_call__": __event_call__, + } + + # Add extra params in contained in function signature + for key, value in extra_params.items(): + if key in sig.parameters: + params[key] = value + + if "__user__" in sig.parameters: + __user__ = { + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + } + + try: + if hasattr(function_module, "UserValves"): + __user__["valves"] = function_module.UserValves( + **Functions.get_user_valves_by_id_and_user_id( + filter_id, user.id + ) + ) + except Exception as e: + print(e) + + params = {**params, "__user__": __user__} + + if inspect.iscoroutinefunction(outlet): + data = await outlet(**params) + else: + data = outlet(**params) + + except Exception as e: + print(f"Error: {e}") + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + + return data + + +@app.post("/api/chat/actions/{action_id}") +async def chat_action(action_id: str, form_data: dict, user=Depends(get_verified_user)): + if "." in action_id: + action_id, sub_action_id = action_id.split(".") + else: + sub_action_id = None + + action = Functions.get_function_by_id(action_id) + if not action: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Action not found", + ) + + data = form_data + model_id = data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + model = app.state.MODELS[model_id] + + __event_emitter__ = get_event_emitter( + { + "chat_id": data["chat_id"], + "message_id": data["id"], + "session_id": data["session_id"], + } + ) + __event_call__ = get_event_call( + { + "chat_id": data["chat_id"], + "message_id": data["id"], + "session_id": data["session_id"], + } + ) + + if action_id in webui_app.state.FUNCTIONS: + function_module = webui_app.state.FUNCTIONS[action_id] + else: + function_module, _, _ = load_function_module_by_id(action_id) + webui_app.state.FUNCTIONS[action_id] = function_module + + if hasattr(function_module, "valves") and hasattr(function_module, "Valves"): + valves = Functions.get_function_valves_by_id(action_id) + function_module.valves = function_module.Valves(**(valves if valves else {})) + + if hasattr(function_module, "action"): + try: + action = function_module.action + + # Get the signature of the function + sig = inspect.signature(action) + params = {"body": data} + + # Extra parameters to be passed to the function + extra_params = { + "__model__": model, + "__id__": sub_action_id if sub_action_id is not None else action_id, + "__event_emitter__": __event_emitter__, + "__event_call__": __event_call__, + } + + # Add extra params in contained in function signature + for key, value in extra_params.items(): + if key in sig.parameters: + params[key] = value + + if "__user__" in sig.parameters: + __user__ = { + "id": user.id, + "email": user.email, + "name": user.name, + "role": user.role, + } + + try: + if hasattr(function_module, "UserValves"): + __user__["valves"] = function_module.UserValves( + **Functions.get_user_valves_by_id_and_user_id( + action_id, user.id + ) + ) + except Exception as e: + print(e) + + params = {**params, "__user__": __user__} + + if inspect.iscoroutinefunction(action): + data = await action(**params) + else: + data = action(**params) + + except Exception as e: + print(f"Error: {e}") + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + + return data + + +################################## +# +# Task Endpoints +# +################################## + + +# TODO: Refactor task API endpoints below into a separate file + + +@app.get("/api/task/config") +async def get_task_config(user=Depends(get_verified_user)): + return { + "TASK_MODEL": app.state.config.TASK_MODEL, + "TASK_MODEL_EXTERNAL": app.state.config.TASK_MODEL_EXTERNAL, + "TITLE_GENERATION_PROMPT_TEMPLATE": app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE, + "TAGS_GENERATION_PROMPT_TEMPLATE": app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE, + "ENABLE_SEARCH_QUERY": app.state.config.ENABLE_SEARCH_QUERY, + "SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE": app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE, + "TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE": app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE, + } + + +class TaskConfigForm(BaseModel): + TASK_MODEL: Optional[str] + TASK_MODEL_EXTERNAL: Optional[str] + TITLE_GENERATION_PROMPT_TEMPLATE: str + TAGS_GENERATION_PROMPT_TEMPLATE: str + SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE: str + ENABLE_SEARCH_QUERY: bool + TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE: str + + +@app.post("/api/task/config/update") +async def update_task_config(form_data: TaskConfigForm, user=Depends(get_admin_user)): + app.state.config.TASK_MODEL = form_data.TASK_MODEL + app.state.config.TASK_MODEL_EXTERNAL = form_data.TASK_MODEL_EXTERNAL + app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE = ( + form_data.TITLE_GENERATION_PROMPT_TEMPLATE + ) + app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE = ( + form_data.TAGS_GENERATION_PROMPT_TEMPLATE + ) + + app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE = ( + form_data.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE + ) + app.state.config.ENABLE_SEARCH_QUERY = form_data.ENABLE_SEARCH_QUERY + app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE = ( + form_data.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE + ) + + return { + "TASK_MODEL": app.state.config.TASK_MODEL, + "TASK_MODEL_EXTERNAL": app.state.config.TASK_MODEL_EXTERNAL, + "TITLE_GENERATION_PROMPT_TEMPLATE": app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE, + "TAGS_GENERATION_PROMPT_TEMPLATE": app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE, + "SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE": app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE, + "ENABLE_SEARCH_QUERY": app.state.config.ENABLE_SEARCH_QUERY, + "TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE": app.state.config.TOOLS_FUNCTION_CALLING_PROMPT_TEMPLATE, + } + + +@app.post("/api/task/title/completions") +async def generate_title(form_data: dict, user=Depends(get_verified_user)): + print("generate_title") + + model_id = form_data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + + # Check if the user has a custom task model + # If the user has a custom task model, use that model + task_model_id = get_task_model_id(model_id) + print(task_model_id) + + model = app.state.MODELS[task_model_id] + + if app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE != "": + template = app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE + else: + template = """Create a concise, 3-5 word title with an emoji as a title for the chat history, in the given language. Suitable Emojis for the summary can be used to enhance understanding but avoid quotation marks or special formatting. RESPOND ONLY WITH THE TITLE TEXT. + +Examples of titles: +📉 Stock Market Trends +🍪 Perfect Chocolate Chip Recipe +Evolution of Music Streaming +Remote Work Productivity Tips +Artificial Intelligence in Healthcare +🎮 Video Game Development Insights + + +{{MESSAGES:END:2}} +""" + + content = title_generation_template( + template, + form_data["messages"], + { + "name": user.name, + "location": user.info.get("location") if user.info else None, + }, + ) + + payload = { + "model": task_model_id, + "messages": [{"role": "user", "content": content}], + "stream": False, + **( + {"max_tokens": 50} + if app.state.MODELS[task_model_id]["owned_by"] == "ollama" + else { + "max_completion_tokens": 50, + } + ), + "chat_id": form_data.get("chat_id", None), + "metadata": {"task": str(TASKS.TITLE_GENERATION), "task_body": form_data}, + } + log.debug(payload) + + # Handle pipeline filters + try: + payload = filter_pipeline(payload, user) + except Exception as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + if "chat_id" in payload: + del payload["chat_id"] + + return await generate_chat_completions(form_data=payload, user=user) + + +@app.post("/api/task/tags/completions") +async def generate_chat_tags(form_data: dict, user=Depends(get_verified_user)): + print("generate_chat_tags") + model_id = form_data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + + # Check if the user has a custom task model + # If the user has a custom task model, use that model + task_model_id = get_task_model_id(model_id) + print(task_model_id) + + if app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE != "": + template = app.state.config.TAGS_GENERATION_PROMPT_TEMPLATE + else: + template = """### Task: +Generate 1-3 broad tags categorizing the main themes of the chat history, along with 1-3 more specific subtopic tags. + +### Guidelines: +- Start with high-level domains (e.g. Science, Technology, Philosophy, Arts, Politics, Business, Health, Sports, Entertainment, Education) +- Consider including relevant subfields/subdomains if they are strongly represented throughout the conversation +- If content is too short (less than 3 messages) or too diverse, use only ["General"] +- Use the chat's primary language; default to English if multilingual +- Prioritize accuracy over specificity + +### Output: +JSON format: { "tags": ["tag1", "tag2", "tag3"] } + +### Chat History: + +{{MESSAGES:END:6}} +""" + + content = tags_generation_template( + template, form_data["messages"], {"name": user.name} + ) + + print("content", content) + payload = { + "model": task_model_id, + "messages": [{"role": "user", "content": content}], + "stream": False, + "metadata": {"task": str(TASKS.TAGS_GENERATION), "task_body": form_data}, + } + log.debug(payload) + + # Handle pipeline filters + try: + payload = filter_pipeline(payload, user) + except Exception as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + if "chat_id" in payload: + del payload["chat_id"] + + return await generate_chat_completions(form_data=payload, user=user) + + +@app.post("/api/task/query/completions") +async def generate_search_query(form_data: dict, user=Depends(get_verified_user)): + print("generate_search_query") + if not app.state.config.ENABLE_SEARCH_QUERY: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Search query generation is disabled", + ) + + model_id = form_data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + + # Check if the user has a custom task model + # If the user has a custom task model, use that model + task_model_id = get_task_model_id(model_id) + print(task_model_id) + + model = app.state.MODELS[task_model_id] + + if app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE != "": + template = app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE + else: + template = """Given the user's message and interaction history, decide if a web search is necessary. You must be concise and exclusively provide a search query if one is necessary. Refrain from verbose responses or any additional commentary. Prefer suggesting a search if uncertain to provide comprehensive or updated information. If a search isn't needed at all, respond with an empty string. Default to a search query when in doubt. Today's date is {{CURRENT_DATE}}. + +User Message: +{{prompt:end:4000}} + +Interaction History: +{{MESSAGES:END:6}} + +Search Query:""" + + content = search_query_generation_template( + template, form_data["messages"], {"name": user.name} + ) + + print("content", content) + + payload = { + "model": task_model_id, + "messages": [{"role": "user", "content": content}], + "stream": False, + **( + {"max_tokens": 30} + if app.state.MODELS[task_model_id]["owned_by"] == "ollama" + else { + "max_completion_tokens": 30, + } + ), + "metadata": {"task": str(TASKS.QUERY_GENERATION), "task_body": form_data}, + } + log.debug(payload) + + # Handle pipeline filters + try: + payload = filter_pipeline(payload, user) + except Exception as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + if "chat_id" in payload: + del payload["chat_id"] + + return await generate_chat_completions(form_data=payload, user=user) + + +@app.post("/api/task/emoji/completions") +async def generate_emoji(form_data: dict, user=Depends(get_verified_user)): + print("generate_emoji") + + model_id = form_data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + + # Check if the user has a custom task model + # If the user has a custom task model, use that model + task_model_id = get_task_model_id(model_id) + print(task_model_id) + + model = app.state.MODELS[task_model_id] + + template = ''' +Your task is to reflect the speaker's likely facial expression through a fitting emoji. Interpret emotions from the message and reflect their facial expression using fitting, diverse emojis (e.g., 😊, 😢, 😡, 😱). + +Message: """{{prompt}}""" +''' + content = emoji_generation_template( + template, + form_data["prompt"], + { + "name": user.name, + "location": user.info.get("location") if user.info else None, + }, + ) + + payload = { + "model": task_model_id, + "messages": [{"role": "user", "content": content}], + "stream": False, + **( + {"max_tokens": 4} + if app.state.MODELS[task_model_id]["owned_by"] == "ollama" + else { + "max_completion_tokens": 4, + } + ), + "chat_id": form_data.get("chat_id", None), + "metadata": {"task": str(TASKS.EMOJI_GENERATION), "task_body": form_data}, + } + log.debug(payload) + + # Handle pipeline filters + try: + payload = filter_pipeline(payload, user) + except Exception as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + if "chat_id" in payload: + del payload["chat_id"] + + return await generate_chat_completions(form_data=payload, user=user) + + +@app.post("/api/task/moa/completions") +async def generate_moa_response(form_data: dict, user=Depends(get_verified_user)): + print("generate_moa_response") + + model_id = form_data["model"] + if model_id not in app.state.MODELS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="Model not found", + ) + + # Check if the user has a custom task model + # If the user has a custom task model, use that model + task_model_id = get_task_model_id(model_id) + print(task_model_id) + + model = app.state.MODELS[task_model_id] + + template = """You have been provided with a set of responses from various models to the latest user query: "{{prompt}}" + +Your task is to synthesize these responses into a single, high-quality response. It is crucial to critically evaluate the information provided in these responses, recognizing that some of it may be biased or incorrect. Your response should not simply replicate the given answers but should offer a refined, accurate, and comprehensive reply to the instruction. Ensure your response is well-structured, coherent, and adheres to the highest standards of accuracy and reliability. + +Responses from models: {{responses}}""" + + content = moa_response_generation_template( + template, + form_data["prompt"], + form_data["responses"], + ) + + payload = { + "model": task_model_id, + "messages": [{"role": "user", "content": content}], + "stream": form_data.get("stream", False), + "chat_id": form_data.get("chat_id", None), + "metadata": { + "task": str(TASKS.MOA_RESPONSE_GENERATION), + "task_body": form_data, + }, + } + log.debug(payload) + + try: + payload = filter_pipeline(payload, user) + except Exception as e: + if len(e.args) > 1: + return JSONResponse( + status_code=e.args[0], + content={"detail": e.args[1]}, + ) + else: + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content={"detail": str(e)}, + ) + if "chat_id" in payload: + del payload["chat_id"] + + return await generate_chat_completions(form_data=payload, user=user) + + +################################## +# +# Pipelines Endpoints +# +################################## + + +# TODO: Refactor pipelines API endpoints below into a separate file + + +@app.get("/api/pipelines/list") +async def get_pipelines_list(user=Depends(get_admin_user)): + responses = await get_openai_models(raw=True) + + print(responses) + urlIdxs = [ + idx + for idx, response in enumerate(responses) + if response is not None and "pipelines" in response + ] + + return { + "data": [ + { + "url": openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx], + "idx": urlIdx, + } + for urlIdx in urlIdxs + ] + } + + +@app.post("/api/pipelines/upload") +async def upload_pipeline( + urlIdx: int = Form(...), file: UploadFile = File(...), user=Depends(get_admin_user) +): + print("upload_pipeline", urlIdx, file.filename) + # Check if the uploaded file is a python file + if not (file.filename and file.filename.endswith(".py")): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Only Python (.py) files are allowed.", + ) + + upload_folder = f"{CACHE_DIR}/pipelines" + os.makedirs(upload_folder, exist_ok=True) + file_path = os.path.join(upload_folder, file.filename) + + r = None + try: + # Save the uploaded file + with open(file_path, "wb") as buffer: + shutil.copyfileobj(file.file, buffer) + + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + + with open(file_path, "rb") as f: + files = {"file": f} + r = requests.post(f"{url}/pipelines/upload", headers=headers, files=files) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + status_code = status.HTTP_404_NOT_FOUND + if r is not None: + status_code = r.status_code + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=status_code, + detail=detail, + ) + finally: + # Ensure the file is deleted after the upload is completed or on failure + if os.path.exists(file_path): + os.remove(file_path) + + +class AddPipelineForm(BaseModel): + url: str + urlIdx: int + + +@app.post("/api/pipelines/add") +async def add_pipeline(form_data: AddPipelineForm, user=Depends(get_admin_user)): + r = None + try: + urlIdx = form_data.urlIdx + + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + r = requests.post( + f"{url}/pipelines/add", headers=headers, json={"url": form_data.url} + ) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + if r is not None: + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND), + detail=detail, + ) + + +class DeletePipelineForm(BaseModel): + id: str + urlIdx: int + + +@app.delete("/api/pipelines/delete") +async def delete_pipeline(form_data: DeletePipelineForm, user=Depends(get_admin_user)): + r = None + try: + urlIdx = form_data.urlIdx + + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + r = requests.delete( + f"{url}/pipelines/delete", headers=headers, json={"id": form_data.id} + ) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + if r is not None: + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND), + detail=detail, + ) + + +@app.get("/api/pipelines") +async def get_pipelines(urlIdx: Optional[int] = None, user=Depends(get_admin_user)): + r = None + try: + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + r = requests.get(f"{url}/pipelines", headers=headers) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + if r is not None: + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND), + detail=detail, + ) + + +@app.get("/api/pipelines/{pipeline_id}/valves") +async def get_pipeline_valves( + urlIdx: Optional[int], + pipeline_id: str, + user=Depends(get_admin_user), +): + r = None + try: + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + r = requests.get(f"{url}/{pipeline_id}/valves", headers=headers) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + + if r is not None: + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND), + detail=detail, + ) + + +@app.get("/api/pipelines/{pipeline_id}/valves/spec") +async def get_pipeline_valves_spec( + urlIdx: Optional[int], + pipeline_id: str, + user=Depends(get_admin_user), +): + r = None + try: + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + r = requests.get(f"{url}/{pipeline_id}/valves/spec", headers=headers) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + if r is not None: + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND), + detail=detail, + ) + + +@app.post("/api/pipelines/{pipeline_id}/valves/update") +async def update_pipeline_valves( + urlIdx: Optional[int], + pipeline_id: str, + form_data: dict, + user=Depends(get_admin_user), +): + r = None + try: + url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx] + key = openai_app.state.config.OPENAI_API_KEYS[urlIdx] + + headers = {"Authorization": f"Bearer {key}"} + r = requests.post( + f"{url}/{pipeline_id}/valves/update", + headers=headers, + json={**form_data}, + ) + + r.raise_for_status() + data = r.json() + + return {**data} + except Exception as e: + # Handle connection error here + print(f"Connection error: {e}") + + detail = "Pipeline not found" + + if r is not None: + try: + res = r.json() + if "detail" in res: + detail = res["detail"] + except Exception: + pass + + raise HTTPException( + status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND), + detail=detail, + ) + + +################################## +# +# Config Endpoints +# +################################## + + +@app.get("/api/config") +async def get_app_config(request: Request): + user = None + if "token" in request.cookies: + token = request.cookies.get("token") + data = decode_token(token) + if data is not None and "id" in data: + user = Users.get_user_by_id(data["id"]) + + return { + "status": True, + "name": WEBUI_NAME, + "version": VERSION, + "default_locale": str(DEFAULT_LOCALE), + "oauth": { + "providers": { + name: config.get("name", name) + for name, config in OAUTH_PROVIDERS.items() + } + }, + "features": { + "auth": WEBUI_AUTH, + "auth_trusted_header": bool(webui_app.state.AUTH_TRUSTED_EMAIL_HEADER), + "enable_signup": webui_app.state.config.ENABLE_SIGNUP, + "enable_login_form": webui_app.state.config.ENABLE_LOGIN_FORM, + **( + { + "enable_web_search": retrieval_app.state.config.ENABLE_RAG_WEB_SEARCH, + "enable_image_generation": images_app.state.config.ENABLED, + "enable_community_sharing": webui_app.state.config.ENABLE_COMMUNITY_SHARING, + "enable_message_rating": webui_app.state.config.ENABLE_MESSAGE_RATING, + "enable_admin_export": ENABLE_ADMIN_EXPORT, + "enable_admin_chat_access": ENABLE_ADMIN_CHAT_ACCESS, + } + if user is not None + else {} + ), + }, + **( + { + "default_models": webui_app.state.config.DEFAULT_MODELS, + "default_prompt_suggestions": webui_app.state.config.DEFAULT_PROMPT_SUGGESTIONS, + "audio": { + "tts": { + "engine": audio_app.state.config.TTS_ENGINE, + "voice": audio_app.state.config.TTS_VOICE, + "split_on": audio_app.state.config.TTS_SPLIT_ON, + }, + "stt": { + "engine": audio_app.state.config.STT_ENGINE, + }, + }, + "file": { + "max_size": retrieval_app.state.config.FILE_MAX_SIZE, + "max_count": retrieval_app.state.config.FILE_MAX_COUNT, + }, + "permissions": {**webui_app.state.config.USER_PERMISSIONS}, + } + if user is not None + else {} + ), + } + + +@app.get("/api/config/model/filter") +async def get_model_filter_config(user=Depends(get_admin_user)): + return { + "enabled": app.state.config.ENABLE_MODEL_FILTER, + "models": app.state.config.MODEL_FILTER_LIST, + } + + +class ModelFilterConfigForm(BaseModel): + enabled: bool + models: list[str] + + +@app.post("/api/config/model/filter") +async def update_model_filter_config( + form_data: ModelFilterConfigForm, user=Depends(get_admin_user) +): + app.state.config.ENABLE_MODEL_FILTER = form_data.enabled + app.state.config.MODEL_FILTER_LIST = form_data.models + + return { + "enabled": app.state.config.ENABLE_MODEL_FILTER, + "models": app.state.config.MODEL_FILTER_LIST, + } + + +# TODO: webhook endpoint should be under config endpoints + + +@app.get("/api/webhook") +async def get_webhook_url(user=Depends(get_admin_user)): + return { + "url": app.state.config.WEBHOOK_URL, + } + + +class UrlForm(BaseModel): + url: str + + +@app.post("/api/webhook") +async def update_webhook_url(form_data: UrlForm, user=Depends(get_admin_user)): + app.state.config.WEBHOOK_URL = form_data.url + webui_app.state.WEBHOOK_URL = app.state.config.WEBHOOK_URL + return {"url": app.state.config.WEBHOOK_URL} + + +@app.get("/api/version") +async def get_app_version(): + return { + "version": VERSION, + } + + +@app.get("/api/changelog") +async def get_app_changelog(): + return {key: CHANGELOG[key] for idx, key in enumerate(CHANGELOG) if idx < 5} + + +@app.get("/api/version/updates") +async def get_app_latest_release_version(): + if OFFLINE_MODE: + log.debug( + f"Offline mode is enabled, returning current version as latest version" + ) + return {"current": VERSION, "latest": VERSION} + try: + timeout = aiohttp.ClientTimeout(total=1) + async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session: + async with session.get( + "https://api.github.com/repos/open-webui/open-webui/releases/latest" + ) as response: + response.raise_for_status() + data = await response.json() + latest_version = data["tag_name"] + + return {"current": VERSION, "latest": latest_version[1:]} + except Exception as e: + log.debug(e) + return {"current": VERSION, "latest": VERSION} + + +############################ +# OAuth Login & Callback +############################ + +# SessionMiddleware is used by authlib for oauth +if len(OAUTH_PROVIDERS) > 0: + app.add_middleware( + SessionMiddleware, + secret_key=WEBUI_SECRET_KEY, + session_cookie="oui-session", + same_site=WEBUI_SESSION_COOKIE_SAME_SITE, + https_only=WEBUI_SESSION_COOKIE_SECURE, + ) + + +@app.get("/oauth/{provider}/login") +async def oauth_login(provider: str, request: Request): + return await oauth_manager.handle_login(provider, request) + + +# OAuth login logic is as follows: +# 1. Attempt to find a user with matching subject ID, tied to the provider +# 2. If OAUTH_MERGE_ACCOUNTS_BY_EMAIL is true, find a user with the email address provided via OAuth +# - This is considered insecure in general, as OAuth providers do not always verify email addresses +# 3. If there is no user, and ENABLE_OAUTH_SIGNUP is true, create a user +# - Email addresses are considered unique, so we fail registration if the email address is already taken +@app.get("/oauth/{provider}/callback") +async def oauth_callback(provider: str, request: Request, response: Response): + return await oauth_manager.handle_callback(provider, request, response) + + +@app.get("/manifest.json") +async def get_manifest_json(): + return { + "name": WEBUI_NAME, + "short_name": WEBUI_NAME, + "description": "Open WebUI is an open, extensible, user-friendly interface for AI that adapts to your workflow.", + "start_url": "/", + "display": "standalone", + "background_color": "#343541", + "orientation": "any", + "icons": [ + { + "src": "/static/logo.png", + "type": "image/png", + "sizes": "500x500", + "purpose": "any", + }, + { + "src": "/static/logo.png", + "type": "image/png", + "sizes": "500x500", + "purpose": "maskable", + }, + ], + } + + +@app.get("/opensearch.xml") +async def get_opensearch_xml(): + xml_content = rf""" + + {WEBUI_NAME} + Search {WEBUI_NAME} + UTF-8 + {WEBUI_URL}/static/favicon.png + + {WEBUI_URL} + + """ + return Response(content=xml_content, media_type="application/xml") + + +@app.get("/health") +async def healthcheck(): + return {"status": True} + + +@app.get("/health/db") +async def healthcheck_with_db(): + Session.execute(text("SELECT 1;")).all() + return {"status": True} + + +app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static") +app.mount("/cache", StaticFiles(directory=CACHE_DIR), name="cache") + + +if os.path.exists(FRONTEND_BUILD_DIR): + mimetypes.add_type("text/javascript", ".js") + app.mount( + "/", + SPAStaticFiles(directory=FRONTEND_BUILD_DIR, html=True), + name="spa-static-files", + ) +else: + log.warning( + f"Frontend build directory not found at '{FRONTEND_BUILD_DIR}'. Serving API only." + ) diff --git a/backend/open_webui/migrations/README b/backend/open_webui/migrations/README new file mode 100644 index 0000000000000000000000000000000000000000..f1d93dff9dbd52e0a9fc8ce4d68e0784c07da697 --- /dev/null +++ b/backend/open_webui/migrations/README @@ -0,0 +1,4 @@ +Generic single-database configuration. + +Create new migrations with +DATABASE_URL= alembic revision --autogenerate -m "a description" diff --git a/backend/open_webui/migrations/env.py b/backend/open_webui/migrations/env.py new file mode 100644 index 0000000000000000000000000000000000000000..5e860c8a0590f2401008ac80e9343de351e4e0ed --- /dev/null +++ b/backend/open_webui/migrations/env.py @@ -0,0 +1,81 @@ +from logging.config import fileConfig + +from alembic import context +from open_webui.apps.webui.models.auths import Auth +from open_webui.env import DATABASE_URL +from sqlalchemy import engine_from_config, pool + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name, disable_existing_loggers=False) + +# add your model's MetaData object here +# for 'autogenerate' support +# from myapp import mymodel +# target_metadata = mymodel.Base.metadata +target_metadata = Auth.metadata + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + +DB_URL = DATABASE_URL + +if DB_URL: + config.set_main_option("sqlalchemy.url", DB_URL.replace("%", "%%")) + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + connectable = engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure(connection=connection, target_metadata=target_metadata) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/backend/open_webui/migrations/script.py.mako b/backend/open_webui/migrations/script.py.mako new file mode 100644 index 0000000000000000000000000000000000000000..01e730e77d23fdb17a24aa5294a8b68f1a98f85a --- /dev/null +++ b/backend/open_webui/migrations/script.py.mako @@ -0,0 +1,27 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import open_webui.apps.webui.internal.db +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + ${downgrades if downgrades else "pass"} diff --git a/backend/open_webui/migrations/util.py b/backend/open_webui/migrations/util.py new file mode 100644 index 0000000000000000000000000000000000000000..955066602a5d94a5d001b169694748d49efed1c1 --- /dev/null +++ b/backend/open_webui/migrations/util.py @@ -0,0 +1,15 @@ +from alembic import op +from sqlalchemy import Inspector + + +def get_existing_tables(): + con = op.get_bind() + inspector = Inspector.from_engine(con) + tables = set(inspector.get_table_names()) + return tables + + +def get_revision_id(): + import uuid + + return str(uuid.uuid4()).replace("-", "")[:12] diff --git a/backend/open_webui/migrations/versions/1af9b942657b_migrate_tags.py b/backend/open_webui/migrations/versions/1af9b942657b_migrate_tags.py new file mode 100644 index 0000000000000000000000000000000000000000..8a0ab1b491d5a136d19fd1d79788a88c60a8c941 --- /dev/null +++ b/backend/open_webui/migrations/versions/1af9b942657b_migrate_tags.py @@ -0,0 +1,151 @@ +"""Migrate tags + +Revision ID: 1af9b942657b +Revises: 242a2047eae0 +Create Date: 2024-10-09 21:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.sql import table, select, update, column +from sqlalchemy.engine.reflection import Inspector + +import json + +revision = "1af9b942657b" +down_revision = "242a2047eae0" +branch_labels = None +depends_on = None + + +def upgrade(): + # Setup an inspection on the existing table to avoid issues + conn = op.get_bind() + inspector = Inspector.from_engine(conn) + + # Clean up potential leftover temp table from previous failures + conn.execute(sa.text("DROP TABLE IF EXISTS _alembic_tmp_tag")) + + # Check if the 'tag' table exists + tables = inspector.get_table_names() + + # Step 1: Modify Tag table using batch mode for SQLite support + if "tag" in tables: + # Get the current columns in the 'tag' table + columns = [col["name"] for col in inspector.get_columns("tag")] + + # Get any existing unique constraints on the 'tag' table + current_constraints = inspector.get_unique_constraints("tag") + + with op.batch_alter_table("tag", schema=None) as batch_op: + # Check if the unique constraint already exists + if not any( + constraint["name"] == "uq_id_user_id" + for constraint in current_constraints + ): + # Create unique constraint if it doesn't exist + batch_op.create_unique_constraint("uq_id_user_id", ["id", "user_id"]) + + # Check if the 'data' column exists before trying to drop it + if "data" in columns: + batch_op.drop_column("data") + + # Check if the 'meta' column needs to be created + if "meta" not in columns: + # Add the 'meta' column if it doesn't already exist + batch_op.add_column(sa.Column("meta", sa.JSON(), nullable=True)) + + tag = table( + "tag", + column("id", sa.String()), + column("name", sa.String()), + column("user_id", sa.String()), + column("meta", sa.JSON()), + ) + + # Step 2: Migrate tags + conn = op.get_bind() + result = conn.execute(sa.select(tag.c.id, tag.c.name, tag.c.user_id)) + + tag_updates = {} + for row in result: + new_id = row.name.replace(" ", "_").lower() + tag_updates[row.id] = new_id + + for tag_id, new_tag_id in tag_updates.items(): + print(f"Updating tag {tag_id} to {new_tag_id}") + if new_tag_id == "pinned": + # delete tag + delete_stmt = sa.delete(tag).where(tag.c.id == tag_id) + conn.execute(delete_stmt) + else: + # Check if the new_tag_id already exists in the database + existing_tag_query = sa.select(tag.c.id).where(tag.c.id == new_tag_id) + existing_tag_result = conn.execute(existing_tag_query).fetchone() + + if existing_tag_result: + # Handle duplicate case: the new_tag_id already exists + print( + f"Tag {new_tag_id} already exists. Removing current tag with ID {tag_id} to avoid duplicates." + ) + # Option 1: Delete the current tag if an update to new_tag_id would cause duplication + delete_stmt = sa.delete(tag).where(tag.c.id == tag_id) + conn.execute(delete_stmt) + else: + update_stmt = sa.update(tag).where(tag.c.id == tag_id) + update_stmt = update_stmt.values(id=new_tag_id) + conn.execute(update_stmt) + + # Add columns `pinned` and `meta` to 'chat' + op.add_column("chat", sa.Column("pinned", sa.Boolean(), nullable=True)) + op.add_column( + "chat", sa.Column("meta", sa.JSON(), nullable=False, server_default="{}") + ) + + chatidtag = table( + "chatidtag", column("chat_id", sa.String()), column("tag_name", sa.String()) + ) + chat = table( + "chat", + column("id", sa.String()), + column("pinned", sa.Boolean()), + column("meta", sa.JSON()), + ) + + # Fetch existing tags + conn = op.get_bind() + result = conn.execute(sa.select(chatidtag.c.chat_id, chatidtag.c.tag_name)) + + chat_updates = {} + for row in result: + chat_id = row.chat_id + tag_name = row.tag_name.replace(" ", "_").lower() + + if tag_name == "pinned": + # Specifically handle 'pinned' tag + if chat_id not in chat_updates: + chat_updates[chat_id] = {"pinned": True, "meta": {}} + else: + chat_updates[chat_id]["pinned"] = True + else: + if chat_id not in chat_updates: + chat_updates[chat_id] = {"pinned": False, "meta": {"tags": [tag_name]}} + else: + tags = chat_updates[chat_id]["meta"].get("tags", []) + tags.append(tag_name) + + chat_updates[chat_id]["meta"]["tags"] = list(set(tags)) + + # Update chats based on accumulated changes + for chat_id, updates in chat_updates.items(): + update_stmt = sa.update(chat).where(chat.c.id == chat_id) + update_stmt = update_stmt.values( + meta=updates.get("meta", {}), pinned=updates.get("pinned", False) + ) + conn.execute(update_stmt) + pass + + +def downgrade(): + pass diff --git a/backend/open_webui/migrations/versions/242a2047eae0_update_chat_table.py b/backend/open_webui/migrations/versions/242a2047eae0_update_chat_table.py new file mode 100644 index 0000000000000000000000000000000000000000..6017da31695b37185c30c085f751f5d72b392e5d --- /dev/null +++ b/backend/open_webui/migrations/versions/242a2047eae0_update_chat_table.py @@ -0,0 +1,107 @@ +"""Update chat table + +Revision ID: 242a2047eae0 +Revises: 6a39f3d8e55c +Create Date: 2024-10-09 21:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.sql import table, select, update + +import json + +revision = "242a2047eae0" +down_revision = "6a39f3d8e55c" +branch_labels = None +depends_on = None + + +def upgrade(): + conn = op.get_bind() + inspector = sa.inspect(conn) + + columns = inspector.get_columns("chat") + column_dict = {col["name"]: col for col in columns} + + chat_column = column_dict.get("chat") + old_chat_exists = "old_chat" in column_dict + + if chat_column: + if isinstance(chat_column["type"], sa.Text): + print("Converting 'chat' column to JSON") + + if old_chat_exists: + print("Dropping old 'old_chat' column") + op.drop_column("chat", "old_chat") + + # Step 1: Rename current 'chat' column to 'old_chat' + print("Renaming 'chat' column to 'old_chat'") + op.alter_column( + "chat", "chat", new_column_name="old_chat", existing_type=sa.Text() + ) + + # Step 2: Add new 'chat' column of type JSON + print("Adding new 'chat' column of type JSON") + op.add_column("chat", sa.Column("chat", sa.JSON(), nullable=True)) + else: + # If the column is already JSON, no need to do anything + pass + + # Step 3: Migrate data from 'old_chat' to 'chat' + chat_table = table( + "chat", + sa.Column("id", sa.String(), primary_key=True), + sa.Column("old_chat", sa.Text()), + sa.Column("chat", sa.JSON()), + ) + + # - Selecting all data from the table + connection = op.get_bind() + results = connection.execute(select(chat_table.c.id, chat_table.c.old_chat)) + for row in results: + try: + # Convert text JSON to actual JSON object, assuming the text is in JSON format + json_data = json.loads(row.old_chat) + except json.JSONDecodeError: + json_data = None # Handle cases where the text cannot be converted to JSON + + connection.execute( + sa.update(chat_table) + .where(chat_table.c.id == row.id) + .values(chat=json_data) + ) + + # Step 4: Drop 'old_chat' column + print("Dropping 'old_chat' column") + op.drop_column("chat", "old_chat") + + +def downgrade(): + # Step 1: Add 'old_chat' column back as Text + op.add_column("chat", sa.Column("old_chat", sa.Text(), nullable=True)) + + # Step 2: Convert 'chat' JSON data back to text and store in 'old_chat' + chat_table = table( + "chat", + sa.Column("id", sa.String(), primary_key=True), + sa.Column("chat", sa.JSON()), + sa.Column("old_chat", sa.Text()), + ) + + connection = op.get_bind() + results = connection.execute(select(chat_table.c.id, chat_table.c.chat)) + for row in results: + text_data = json.dumps(row.chat) if row.chat is not None else None + connection.execute( + sa.update(chat_table) + .where(chat_table.c.id == row.id) + .values(old_chat=text_data) + ) + + # Step 3: Remove the new 'chat' JSON column + op.drop_column("chat", "chat") + + # Step 4: Rename 'old_chat' back to 'chat' + op.alter_column("chat", "old_chat", new_column_name="chat", existing_type=sa.Text()) diff --git a/backend/open_webui/migrations/versions/3ab32c4b8f59_update_tags.py b/backend/open_webui/migrations/versions/3ab32c4b8f59_update_tags.py new file mode 100644 index 0000000000000000000000000000000000000000..6e010424b05242c15f6998f88f7efa4cde30aa73 --- /dev/null +++ b/backend/open_webui/migrations/versions/3ab32c4b8f59_update_tags.py @@ -0,0 +1,81 @@ +"""Update tags + +Revision ID: 3ab32c4b8f59 +Revises: 1af9b942657b +Create Date: 2024-10-09 21:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.sql import table, select, update, column +from sqlalchemy.engine.reflection import Inspector + +import json + +revision = "3ab32c4b8f59" +down_revision = "1af9b942657b" +branch_labels = None +depends_on = None + + +def upgrade(): + conn = op.get_bind() + inspector = Inspector.from_engine(conn) + + # Inspecting the 'tag' table constraints and structure + existing_pk = inspector.get_pk_constraint("tag") + unique_constraints = inspector.get_unique_constraints("tag") + existing_indexes = inspector.get_indexes("tag") + + print(f"Primary Key: {existing_pk}") + print(f"Unique Constraints: {unique_constraints}") + print(f"Indexes: {existing_indexes}") + + with op.batch_alter_table("tag", schema=None) as batch_op: + # Drop existing primary key constraint if it exists + if existing_pk and existing_pk.get("constrained_columns"): + pk_name = existing_pk.get("name") + if pk_name: + print(f"Dropping primary key constraint: {pk_name}") + batch_op.drop_constraint(pk_name, type_="primary") + + # Now create the new primary key with the combination of 'id' and 'user_id' + print("Creating new primary key with 'id' and 'user_id'.") + batch_op.create_primary_key("pk_id_user_id", ["id", "user_id"]) + + # Drop unique constraints that could conflict with the new primary key + for constraint in unique_constraints: + if ( + constraint["name"] == "uq_id_user_id" + ): # Adjust this name according to what is actually returned by the inspector + print(f"Dropping unique constraint: {constraint['name']}") + batch_op.drop_constraint(constraint["name"], type_="unique") + + for index in existing_indexes: + if index["unique"]: + if not any( + constraint["name"] == index["name"] + for constraint in unique_constraints + ): + # You are attempting to drop unique indexes + print(f"Dropping unique index: {index['name']}") + batch_op.drop_index(index["name"]) + + +def downgrade(): + conn = op.get_bind() + inspector = Inspector.from_engine(conn) + + current_pk = inspector.get_pk_constraint("tag") + + with op.batch_alter_table("tag", schema=None) as batch_op: + # Drop the current primary key first, if it matches the one we know we added in upgrade + if current_pk and "pk_id_user_id" == current_pk.get("name"): + batch_op.drop_constraint("pk_id_user_id", type_="primary") + + # Restore the original primary key + batch_op.create_primary_key("pk_id", ["id"]) + + # Since primary key on just 'id' is restored, we now add back any unique constraints if necessary + batch_op.create_unique_constraint("uq_id_user_id", ["id", "user_id"]) diff --git a/backend/open_webui/migrations/versions/4ace53fd72c8_update_folder_table_datetime.py b/backend/open_webui/migrations/versions/4ace53fd72c8_update_folder_table_datetime.py new file mode 100644 index 0000000000000000000000000000000000000000..16f7967c8ec8c4e6c65e8d17c1ff2f8ac4a0a102 --- /dev/null +++ b/backend/open_webui/migrations/versions/4ace53fd72c8_update_folder_table_datetime.py @@ -0,0 +1,67 @@ +"""Update folder table and change DateTime to BigInteger for timestamp fields + +Revision ID: 4ace53fd72c8 +Revises: af906e964978 +Create Date: 2024-10-23 03:00:00.000000 + +""" + +from alembic import op +import sqlalchemy as sa + +revision = "4ace53fd72c8" +down_revision = "af906e964978" +branch_labels = None +depends_on = None + + +def upgrade(): + # Perform safe alterations using batch operation + with op.batch_alter_table("folder", schema=None) as batch_op: + # Step 1: Remove server defaults for created_at and updated_at + batch_op.alter_column( + "created_at", + server_default=None, # Removing server default + ) + batch_op.alter_column( + "updated_at", + server_default=None, # Removing server default + ) + + # Step 2: Change the column types to BigInteger for created_at + batch_op.alter_column( + "created_at", + type_=sa.BigInteger(), + existing_type=sa.DateTime(), + existing_nullable=False, + postgresql_using="extract(epoch from created_at)::bigint", # Conversion for PostgreSQL + ) + + # Change the column types to BigInteger for updated_at + batch_op.alter_column( + "updated_at", + type_=sa.BigInteger(), + existing_type=sa.DateTime(), + existing_nullable=False, + postgresql_using="extract(epoch from updated_at)::bigint", # Conversion for PostgreSQL + ) + + +def downgrade(): + # Downgrade: Convert columns back to DateTime and restore defaults + with op.batch_alter_table("folder", schema=None) as batch_op: + batch_op.alter_column( + "created_at", + type_=sa.DateTime(), + existing_type=sa.BigInteger(), + existing_nullable=False, + server_default=sa.func.now(), # Restoring server default on downgrade + ) + batch_op.alter_column( + "updated_at", + type_=sa.DateTime(), + existing_type=sa.BigInteger(), + existing_nullable=False, + server_default=sa.func.now(), # Restoring server default on downgrade + onupdate=sa.func.now(), # Restoring onupdate behavior if it was there + ) diff --git a/backend/open_webui/migrations/versions/6a39f3d8e55c_add_knowledge_table.py b/backend/open_webui/migrations/versions/6a39f3d8e55c_add_knowledge_table.py new file mode 100644 index 0000000000000000000000000000000000000000..881e6ae64126281e03ef09397f212d2e257c9623 --- /dev/null +++ b/backend/open_webui/migrations/versions/6a39f3d8e55c_add_knowledge_table.py @@ -0,0 +1,80 @@ +"""Add knowledge table + +Revision ID: 6a39f3d8e55c +Revises: c0fbf31ca0db +Create Date: 2024-10-01 14:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.sql import table, column, select +import json + + +revision = "6a39f3d8e55c" +down_revision = "c0fbf31ca0db" +branch_labels = None +depends_on = None + + +def upgrade(): + # Creating the 'knowledge' table + print("Creating knowledge table") + knowledge_table = op.create_table( + "knowledge", + sa.Column("id", sa.Text(), primary_key=True), + sa.Column("user_id", sa.Text(), nullable=False), + sa.Column("name", sa.Text(), nullable=False), + sa.Column("description", sa.Text(), nullable=True), + sa.Column("data", sa.JSON(), nullable=True), + sa.Column("meta", sa.JSON(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=False), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + ) + + print("Migrating data from document table to knowledge table") + # Representation of the existing 'document' table + document_table = table( + "document", + column("collection_name", sa.String()), + column("user_id", sa.String()), + column("name", sa.String()), + column("title", sa.Text()), + column("content", sa.Text()), + column("timestamp", sa.BigInteger()), + ) + + # Select all from existing document table + documents = op.get_bind().execute( + select( + document_table.c.collection_name, + document_table.c.user_id, + document_table.c.name, + document_table.c.title, + document_table.c.content, + document_table.c.timestamp, + ) + ) + + # Insert data into knowledge table from document table + for doc in documents: + op.get_bind().execute( + knowledge_table.insert().values( + id=doc.collection_name, + user_id=doc.user_id, + description=doc.name, + meta={ + "legacy": True, + "document": True, + "tags": json.loads(doc.content or "{}").get("tags", []), + }, + name=doc.title, + created_at=doc.timestamp, + updated_at=doc.timestamp, # using created_at for both created_at and updated_at in project + ) + ) + + +def downgrade(): + op.drop_table("knowledge") diff --git a/backend/open_webui/migrations/versions/7e5b5dc7342b_init.py b/backend/open_webui/migrations/versions/7e5b5dc7342b_init.py new file mode 100644 index 0000000000000000000000000000000000000000..607a7b2c91dd021e4bf8a3923ccf21e04ca7de88 --- /dev/null +++ b/backend/open_webui/migrations/versions/7e5b5dc7342b_init.py @@ -0,0 +1,204 @@ +"""init + +Revision ID: 7e5b5dc7342b +Revises: +Create Date: 2024-06-24 13:15:33.808998 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +import open_webui.apps.webui.internal.db +from open_webui.apps.webui.internal.db import JSONField +from open_webui.migrations.util import get_existing_tables + +# revision identifiers, used by Alembic. +revision: str = "7e5b5dc7342b" +down_revision: Union[str, None] = None +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + existing_tables = set(get_existing_tables()) + + # ### commands auto generated by Alembic - please adjust! ### + if "auth" not in existing_tables: + op.create_table( + "auth", + sa.Column("id", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=True), + sa.Column("password", sa.Text(), nullable=True), + sa.Column("active", sa.Boolean(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "chat" not in existing_tables: + op.create_table( + "chat", + sa.Column("id", sa.String(), nullable=False), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("title", sa.Text(), nullable=True), + sa.Column("chat", sa.Text(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + sa.Column("share_id", sa.Text(), nullable=True), + sa.Column("archived", sa.Boolean(), nullable=True), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("share_id"), + ) + + if "chatidtag" not in existing_tables: + op.create_table( + "chatidtag", + sa.Column("id", sa.String(), nullable=False), + sa.Column("tag_name", sa.String(), nullable=True), + sa.Column("chat_id", sa.String(), nullable=True), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("timestamp", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "document" not in existing_tables: + op.create_table( + "document", + sa.Column("collection_name", sa.String(), nullable=False), + sa.Column("name", sa.String(), nullable=True), + sa.Column("title", sa.Text(), nullable=True), + sa.Column("filename", sa.Text(), nullable=True), + sa.Column("content", sa.Text(), nullable=True), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("timestamp", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("collection_name"), + sa.UniqueConstraint("name"), + ) + + if "file" not in existing_tables: + op.create_table( + "file", + sa.Column("id", sa.String(), nullable=False), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("filename", sa.Text(), nullable=True), + sa.Column("meta", JSONField(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "function" not in existing_tables: + op.create_table( + "function", + sa.Column("id", sa.String(), nullable=False), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("name", sa.Text(), nullable=True), + sa.Column("type", sa.Text(), nullable=True), + sa.Column("content", sa.Text(), nullable=True), + sa.Column("meta", JSONField(), nullable=True), + sa.Column("valves", JSONField(), nullable=True), + sa.Column("is_active", sa.Boolean(), nullable=True), + sa.Column("is_global", sa.Boolean(), nullable=True), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "memory" not in existing_tables: + op.create_table( + "memory", + sa.Column("id", sa.String(), nullable=False), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("content", sa.Text(), nullable=True), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "model" not in existing_tables: + op.create_table( + "model", + sa.Column("id", sa.Text(), nullable=False), + sa.Column("user_id", sa.Text(), nullable=True), + sa.Column("base_model_id", sa.Text(), nullable=True), + sa.Column("name", sa.Text(), nullable=True), + sa.Column("params", JSONField(), nullable=True), + sa.Column("meta", JSONField(), nullable=True), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "prompt" not in existing_tables: + op.create_table( + "prompt", + sa.Column("command", sa.String(), nullable=False), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("title", sa.Text(), nullable=True), + sa.Column("content", sa.Text(), nullable=True), + sa.Column("timestamp", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("command"), + ) + + if "tag" not in existing_tables: + op.create_table( + "tag", + sa.Column("id", sa.String(), nullable=False), + sa.Column("name", sa.String(), nullable=True), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("data", sa.Text(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "tool" not in existing_tables: + op.create_table( + "tool", + sa.Column("id", sa.String(), nullable=False), + sa.Column("user_id", sa.String(), nullable=True), + sa.Column("name", sa.Text(), nullable=True), + sa.Column("content", sa.Text(), nullable=True), + sa.Column("specs", JSONField(), nullable=True), + sa.Column("meta", JSONField(), nullable=True), + sa.Column("valves", JSONField(), nullable=True), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.PrimaryKeyConstraint("id"), + ) + + if "user" not in existing_tables: + op.create_table( + "user", + sa.Column("id", sa.String(), nullable=False), + sa.Column("name", sa.String(), nullable=True), + sa.Column("email", sa.String(), nullable=True), + sa.Column("role", sa.String(), nullable=True), + sa.Column("profile_image_url", sa.Text(), nullable=True), + sa.Column("last_active_at", sa.BigInteger(), nullable=True), + sa.Column("updated_at", sa.BigInteger(), nullable=True), + sa.Column("created_at", sa.BigInteger(), nullable=True), + sa.Column("api_key", sa.String(), nullable=True), + sa.Column("settings", JSONField(), nullable=True), + sa.Column("info", JSONField(), nullable=True), + sa.Column("oauth_sub", sa.Text(), nullable=True), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("api_key"), + sa.UniqueConstraint("oauth_sub"), + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_table("user") + op.drop_table("tool") + op.drop_table("tag") + op.drop_table("prompt") + op.drop_table("model") + op.drop_table("memory") + op.drop_table("function") + op.drop_table("file") + op.drop_table("document") + op.drop_table("chatidtag") + op.drop_table("chat") + op.drop_table("auth") + # ### end Alembic commands ### diff --git a/backend/open_webui/migrations/versions/af906e964978_add_feedback_table.py b/backend/open_webui/migrations/versions/af906e964978_add_feedback_table.py new file mode 100644 index 0000000000000000000000000000000000000000..9116aa38843259b8e7c7f855b46cec124587bc46 --- /dev/null +++ b/backend/open_webui/migrations/versions/af906e964978_add_feedback_table.py @@ -0,0 +1,51 @@ +"""Add feedback table + +Revision ID: af906e964978 +Revises: c29facfe716b +Create Date: 2024-10-20 17:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa + +# Revision identifiers, used by Alembic. +revision = "af906e964978" +down_revision = "c29facfe716b" +branch_labels = None +depends_on = None + + +def upgrade(): + # ### Create feedback table ### + op.create_table( + "feedback", + sa.Column( + "id", sa.Text(), primary_key=True + ), # Unique identifier for each feedback (TEXT type) + sa.Column( + "user_id", sa.Text(), nullable=True + ), # ID of the user providing the feedback (TEXT type) + sa.Column( + "version", sa.BigInteger(), default=0 + ), # Version of feedback (BIGINT type) + sa.Column("type", sa.Text(), nullable=True), # Type of feedback (TEXT type) + sa.Column("data", sa.JSON(), nullable=True), # Feedback data (JSON type) + sa.Column( + "meta", sa.JSON(), nullable=True + ), # Metadata for feedback (JSON type) + sa.Column( + "snapshot", sa.JSON(), nullable=True + ), # snapshot data for feedback (JSON type) + sa.Column( + "created_at", sa.BigInteger(), nullable=False + ), # Feedback creation timestamp (BIGINT representing epoch) + sa.Column( + "updated_at", sa.BigInteger(), nullable=False + ), # Feedback update timestamp (BIGINT representing epoch) + ) + + +def downgrade(): + # ### Drop feedback table ### + op.drop_table("feedback") diff --git a/backend/open_webui/migrations/versions/c0fbf31ca0db_update_file_table.py b/backend/open_webui/migrations/versions/c0fbf31ca0db_update_file_table.py new file mode 100644 index 0000000000000000000000000000000000000000..5f7f2abf706f8fdeb03503a05497744c74bac8e5 --- /dev/null +++ b/backend/open_webui/migrations/versions/c0fbf31ca0db_update_file_table.py @@ -0,0 +1,32 @@ +"""Update file table + +Revision ID: c0fbf31ca0db +Revises: ca81bd47c050 +Create Date: 2024-09-20 15:26:35.241684 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "c0fbf31ca0db" +down_revision: Union[str, None] = "ca81bd47c050" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.add_column("file", sa.Column("hash", sa.Text(), nullable=True)) + op.add_column("file", sa.Column("data", sa.JSON(), nullable=True)) + op.add_column("file", sa.Column("updated_at", sa.BigInteger(), nullable=True)) + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column("file", "updated_at") + op.drop_column("file", "data") + op.drop_column("file", "hash") diff --git a/backend/open_webui/migrations/versions/c29facfe716b_update_file_table_path.py b/backend/open_webui/migrations/versions/c29facfe716b_update_file_table_path.py new file mode 100644 index 0000000000000000000000000000000000000000..de82854b8811ed75c85da2c4c3e9229cef89f028 --- /dev/null +++ b/backend/open_webui/migrations/versions/c29facfe716b_update_file_table_path.py @@ -0,0 +1,79 @@ +"""Update file table path + +Revision ID: c29facfe716b +Revises: c69f45358db4 +Create Date: 2024-10-20 17:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa +import json +from sqlalchemy.sql import table, column +from sqlalchemy import String, Text, JSON, and_ + + +revision = "c29facfe716b" +down_revision = "c69f45358db4" +branch_labels = None +depends_on = None + + +def upgrade(): + # 1. Add the `path` column to the "file" table. + op.add_column("file", sa.Column("path", sa.Text(), nullable=True)) + + # 2. Convert the `meta` column from Text/JSONField to `JSON()` + # Use Alembic's default batch_op for dialect compatibility. + with op.batch_alter_table("file", schema=None) as batch_op: + batch_op.alter_column( + "meta", + type_=sa.JSON(), + existing_type=sa.Text(), + existing_nullable=True, + nullable=True, + postgresql_using="meta::json", + ) + + # 3. Migrate legacy data from `meta` JSONField + # Fetch and process `meta` data from the table, add values to the new `path` column as necessary. + # We will use SQLAlchemy core bindings to ensure safety across different databases. + + file_table = table( + "file", column("id", String), column("meta", JSON), column("path", Text) + ) + + # Create connection to the database + connection = op.get_bind() + + # Get the rows where `meta` has a path and `path` column is null (new column) + # Loop through each row in the result set to update the path + results = connection.execute( + sa.select(file_table.c.id, file_table.c.meta).where( + and_(file_table.c.path.is_(None), file_table.c.meta.isnot(None)) + ) + ).fetchall() + + # Iterate over each row to extract and update the `path` from `meta` column + for row in results: + if "path" in row.meta: + # Extract the `path` field from the `meta` JSON + path = row.meta.get("path") + + # Update the `file` table with the new `path` value + connection.execute( + file_table.update() + .where(file_table.c.id == row.id) + .values({"path": path}) + ) + + +def downgrade(): + # 1. Remove the `path` column + op.drop_column("file", "path") + + # 2. Revert the `meta` column back to Text/JSONField + with op.batch_alter_table("file", schema=None) as batch_op: + batch_op.alter_column( + "meta", type_=sa.Text(), existing_type=sa.JSON(), existing_nullable=True + ) diff --git a/backend/open_webui/migrations/versions/c69f45358db4_add_folder_table.py b/backend/open_webui/migrations/versions/c69f45358db4_add_folder_table.py new file mode 100644 index 0000000000000000000000000000000000000000..83e0dc28edcfe76e5742faa8c078523b1cfb4269 --- /dev/null +++ b/backend/open_webui/migrations/versions/c69f45358db4_add_folder_table.py @@ -0,0 +1,50 @@ +"""Add folder table + +Revision ID: c69f45358db4 +Revises: 3ab32c4b8f59 +Create Date: 2024-10-16 02:02:35.241684 + +""" + +from alembic import op +import sqlalchemy as sa + +revision = "c69f45358db4" +down_revision = "3ab32c4b8f59" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "folder", + sa.Column("id", sa.Text(), nullable=False), + sa.Column("parent_id", sa.Text(), nullable=True), + sa.Column("user_id", sa.Text(), nullable=False), + sa.Column("name", sa.Text(), nullable=False), + sa.Column("items", sa.JSON(), nullable=True), + sa.Column("meta", sa.JSON(), nullable=True), + sa.Column("is_expanded", sa.Boolean(), default=False, nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.func.now(), nullable=False + ), + sa.Column( + "updated_at", + sa.DateTime(), + nullable=False, + server_default=sa.func.now(), + onupdate=sa.func.now(), + ), + sa.PrimaryKeyConstraint("id", "user_id"), + ) + + op.add_column( + "chat", + sa.Column("folder_id", sa.Text(), nullable=True), + ) + + +def downgrade(): + op.drop_column("chat", "folder_id") + + op.drop_table("folder") diff --git a/backend/open_webui/migrations/versions/ca81bd47c050_add_config_table.py b/backend/open_webui/migrations/versions/ca81bd47c050_add_config_table.py new file mode 100644 index 0000000000000000000000000000000000000000..1540aa6a7f263880b89d7e84bf86ead434c904f7 --- /dev/null +++ b/backend/open_webui/migrations/versions/ca81bd47c050_add_config_table.py @@ -0,0 +1,41 @@ +"""Add config table + +Revision ID: ca81bd47c050 +Revises: 7e5b5dc7342b +Create Date: 2024-08-25 15:26:35.241684 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "ca81bd47c050" +down_revision: Union[str, None] = "7e5b5dc7342b" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade(): + op.create_table( + "config", + sa.Column("id", sa.Integer, primary_key=True), + sa.Column("data", sa.JSON(), nullable=False), + sa.Column("version", sa.Integer, nullable=False), + sa.Column( + "created_at", sa.DateTime(), nullable=False, server_default=sa.func.now() + ), + sa.Column( + "updated_at", + sa.DateTime(), + nullable=True, + server_default=sa.func.now(), + onupdate=sa.func.now(), + ), + ) + + +def downgrade(): + op.drop_table("config") diff --git a/backend/open_webui/static/assets/pdf-style.css b/backend/open_webui/static/assets/pdf-style.css new file mode 100644 index 0000000000000000000000000000000000000000..db9ac83ddb823bd4d10297ac59c1955ed082369f --- /dev/null +++ b/backend/open_webui/static/assets/pdf-style.css @@ -0,0 +1,319 @@ +/* HTML and Body */ +@font-face { + font-family: 'NotoSans'; + src: url('fonts/NotoSans-Variable.ttf'); +} + +@font-face { + font-family: 'NotoSansJP'; + src: url('fonts/NotoSansJP-Variable.ttf'); +} + +@font-face { + font-family: 'NotoSansKR'; + src: url('fonts/NotoSansKR-Variable.ttf'); +} + +@font-face { + font-family: 'NotoSansSC'; + src: url('fonts/NotoSansSC-Variable.ttf'); +} + +@font-face { + font-family: 'NotoSansSC-Regular'; + src: url('fonts/NotoSansSC-Regular.ttf'); +} + +html { + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'NotoSans', 'NotoSansJP', 'NotoSansKR', + 'NotoSansSC', 'STSong-Light', 'MSung-Light', 'HeiseiMin-W3', 'HYSMyeongJo-Medium', Roboto, + 'Helvetica Neue', Arial, sans-serif; + font-size: 14px; /* Default font size */ + line-height: 1.5; +} + +*, +*::before, +*::after { + box-sizing: inherit; +} + +body { + margin: 0; + color: #212529; + background-color: #fff; + width: auto; +} + +/* Typography */ +h1, +h2, +h3, +h4, +h5, +h6 { + font-weight: 500; + margin: 0; +} + +h1 { + font-size: 2.5rem; +} + +h2 { + font-size: 2rem; +} + +h3 { + font-size: 1.75rem; +} + +h4 { + font-size: 1.5rem; +} + +h5 { + font-size: 1.25rem; +} + +h6 { + font-size: 1rem; +} + +p { + margin-top: 0; + margin-bottom: 1rem; +} + +/* Grid System */ +.container { + width: 100%; + padding-right: 15px; + padding-left: 15px; + margin-right: auto; + margin-left: auto; +} + +/* Utilities */ +.text-center { + text-align: center; +} + +/* Additional Text Utilities */ +.text-muted { + color: #6c757d; /* Muted text color */ +} + +/* Small Text */ +small { + font-size: 80%; /* Smaller font size relative to the base */ + color: #6c757d; /* Lighter text color for secondary information */ + margin-bottom: 0; + margin-top: 0; +} + +/* Strong Element Styles */ +strong { + font-weight: bolder; /* Ensures the text is bold */ + color: inherit; /* Inherits the color from its parent element */ +} + +/* link */ +a { + color: #007bff; + text-decoration: none; + background-color: transparent; +} + +a:hover { + color: #0056b3; + text-decoration: underline; +} + +/* General styles for lists */ +ol, +ul, +li { + padding-left: 40px; /* Increase padding to move bullet points to the right */ + margin-left: 20px; /* Indent lists from the left */ +} + +/* Ordered list styles */ +ol { + list-style-type: decimal; /* Use numbers for ordered lists */ + margin-bottom: 10px; /* Space after each list */ +} + +ol li { + margin-bottom: 0.5rem; /* Space between ordered list items */ +} + +/* Unordered list styles */ +ul { + list-style-type: disc; /* Use bullets for unordered lists */ + margin-bottom: 10px; /* Space after each list */ +} + +ul li { + margin-bottom: 0.5rem; /* Space between unordered list items */ +} + +/* List item styles */ +li { + margin-bottom: 5px; /* Space between list items */ + line-height: 1.5; /* Line height for better readability */ +} + +/* Nested lists */ +ol ol, +ol ul, +ul ol, +ul ul { + padding-left: 20px; + margin-left: 30px; /* Further indent nested lists */ + margin-bottom: 0; /* Remove extra margin at the bottom of nested lists */ +} + +/* Code blocks */ +pre { + background-color: #f4f4f4; + padding: 10px; + overflow-x: auto; + max-width: 100%; /* Ensure it doesn't overflow the page */ + width: 80%; /* Set a specific width for a container-like appearance */ + margin: 0 1em; /* Center the pre block */ + box-sizing: border-box; /* Include padding in the width */ + border: 1px solid #ccc; /* Optional: Add a border for better definition */ + border-radius: 4px; /* Optional: Add rounded corners */ +} + +code { + font-family: 'Courier New', Courier, monospace; + background-color: #f4f4f4; + padding: 2px 4px; + border-radius: 4px; + box-sizing: border-box; /* Include padding in the width */ +} + +.message { + margin-top: 8px; + margin-bottom: 8px; + max-width: 100%; + overflow-wrap: break-word; +} + +/* Table Styles */ +table { + width: 100%; + margin-bottom: 1rem; + color: #212529; + border-collapse: collapse; /* Removes the space between borders */ +} + +th, +td { + margin: 0; + padding: 0.75rem; + vertical-align: top; + border-top: 1px solid #dee2e6; +} + +thead th { + vertical-align: bottom; + border-bottom: 2px solid #dee2e6; +} + +tbody + tbody { + border-top: 2px solid #dee2e6; +} + +/* markdown-section styles */ +.markdown-section blockquote, +.markdown-section h1, +.markdown-section h2, +.markdown-section h3, +.markdown-section h4, +.markdown-section h5, +.markdown-section h6, +.markdown-section p, +.markdown-section pre, +.markdown-section table, +.markdown-section ul { + /* Give most block elements margin top and bottom */ + margin-top: 1rem; +} + +/* Remove top margin if it's the first child */ +.markdown-section blockquote:first-child, +.markdown-section h1:first-child, +.markdown-section h2:first-child, +.markdown-section h3:first-child, +.markdown-section h4:first-child, +.markdown-section h5:first-child, +.markdown-section h6:first-child, +.markdown-section p:first-child, +.markdown-section pre:first-child, +.markdown-section table:first-child, +.markdown-section ul:first-child { + margin-top: 0; +} + +/* Remove top margin of
    following a

    */ +.markdown-section p + ul { + margin-top: 0; +} + +/* Remove bottom margin of

    if it is followed by a

      */ +/* Note: :has is not supported in CSS, so you would need JavaScript for this behavior */ +.markdown-section p { + margin-bottom: 0; +} + +/* Add a rule to reset margin-bottom for

      not followed by

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b/backend/open_webui/static/logo.png differ diff --git a/backend/open_webui/static/splash.png b/backend/open_webui/static/splash.png new file mode 100644 index 0000000000000000000000000000000000000000..389196ca6a364b9e4b7daa0fc13be463b914b251 Binary files /dev/null and b/backend/open_webui/static/splash.png differ diff --git a/backend/open_webui/static/user-import.csv b/backend/open_webui/static/user-import.csv new file mode 100644 index 0000000000000000000000000000000000000000..918a92aad71d708ae13fedb8b91f79c29a5b3e9d --- /dev/null +++ b/backend/open_webui/static/user-import.csv @@ -0,0 +1 @@ +Name,Email,Password,Role diff --git a/backend/open_webui/storage/provider.py b/backend/open_webui/storage/provider.py new file mode 100644 index 0000000000000000000000000000000000000000..a3168ead8fca439389c2ba629c55069be2d79778 --- /dev/null +++ b/backend/open_webui/storage/provider.py @@ -0,0 +1,164 @@ +import os +import boto3 +from botocore.exceptions import ClientError +import shutil + + +from typing import BinaryIO, Tuple, Optional, Union + +from open_webui.constants import ERROR_MESSAGES +from open_webui.config import ( + STORAGE_PROVIDER, + S3_ACCESS_KEY_ID, + S3_SECRET_ACCESS_KEY, + S3_BUCKET_NAME, + S3_REGION_NAME, + S3_ENDPOINT_URL, + UPLOAD_DIR, +) + + +import boto3 +from botocore.exceptions import ClientError +from typing import BinaryIO, Tuple, Optional + + +class StorageProvider: + def __init__(self, provider: Optional[str] = None): + self.storage_provider: str = provider or STORAGE_PROVIDER + + self.s3_client = None + self.s3_bucket_name: Optional[str] = None + + if self.storage_provider == "s3": + self._initialize_s3() + + def _initialize_s3(self) -> None: + """Initializes the S3 client and bucket name if using S3 storage.""" + self.s3_client = boto3.client( + "s3", + region_name=S3_REGION_NAME, + endpoint_url=S3_ENDPOINT_URL, + aws_access_key_id=S3_ACCESS_KEY_ID, + aws_secret_access_key=S3_SECRET_ACCESS_KEY, + ) + self.bucket_name = S3_BUCKET_NAME + + def _upload_to_s3(self, file_path: str, filename: str) -> Tuple[bytes, str]: + """Handles uploading of the file to S3 storage.""" + if not self.s3_client: + raise RuntimeError("S3 Client is not initialized.") + + try: + self.s3_client.upload_file(file_path, self.bucket_name, filename) + return open(file_path, "rb").read(), file_path + except ClientError as e: + raise RuntimeError(f"Error uploading file to S3: {e}") + + def _upload_to_local(self, contents: bytes, filename: str) -> Tuple[bytes, str]: + """Handles uploading of the file to local storage.""" + file_path = f"{UPLOAD_DIR}/{filename}" + with open(file_path, "wb") as f: + f.write(contents) + return contents, file_path + + def _get_file_from_s3(self, file_path: str) -> str: + """Handles downloading of the file from S3 storage.""" + if not self.s3_client: + raise RuntimeError("S3 Client is not initialized.") + + try: + bucket_name, key = file_path.split("//")[1].split("/") + local_file_path = f"{UPLOAD_DIR}/{key}" + self.s3_client.download_file(bucket_name, key, local_file_path) + return local_file_path + except ClientError as e: + raise RuntimeError(f"Error downloading file from S3: {e}") + + def _get_file_from_local(self, file_path: str) -> str: + """Handles downloading of the file from local storage.""" + return file_path + + def _delete_from_s3(self, filename: str) -> None: + """Handles deletion of the file from S3 storage.""" + if not self.s3_client: + raise RuntimeError("S3 Client is not initialized.") + + try: + self.s3_client.delete_object(Bucket=self.bucket_name, Key=filename) + except ClientError as e: + raise RuntimeError(f"Error deleting file from S3: {e}") + + def _delete_from_local(self, filename: str) -> None: + """Handles deletion of the file from local storage.""" + file_path = f"{UPLOAD_DIR}/{filename}" + if os.path.isfile(file_path): + os.remove(file_path) + else: + print(f"File {file_path} not found in local storage.") + + def _delete_all_from_s3(self) -> None: + """Handles deletion of all files from S3 storage.""" + if not self.s3_client: + raise RuntimeError("S3 Client is not initialized.") + + try: + response = self.s3_client.list_objects_v2(Bucket=self.bucket_name) + if "Contents" in response: + for content in response["Contents"]: + self.s3_client.delete_object( + Bucket=self.bucket_name, Key=content["Key"] + ) + except ClientError as e: + raise RuntimeError(f"Error deleting all files from S3: {e}") + + def _delete_all_from_local(self) -> None: + """Handles deletion of all files from local storage.""" + if os.path.exists(UPLOAD_DIR): + for filename in os.listdir(UPLOAD_DIR): + file_path = os.path.join(UPLOAD_DIR, filename) + try: + if os.path.isfile(file_path) or os.path.islink(file_path): + os.unlink(file_path) # Remove the file or link + elif os.path.isdir(file_path): + shutil.rmtree(file_path) # Remove the directory + except Exception as e: + print(f"Failed to delete {file_path}. Reason: {e}") + else: + print(f"Directory {UPLOAD_DIR} not found in local storage.") + + def upload_file(self, file: BinaryIO, filename: str) -> Tuple[bytes, str]: + """Uploads a file either to S3 or the local file system.""" + contents = file.read() + if not contents: + raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT) + contents, file_path = self._upload_to_local(contents, filename) + + if self.storage_provider == "s3": + return self._upload_to_s3(file_path, filename) + return contents, file_path + + def get_file(self, file_path: str) -> str: + """Downloads a file either from S3 or the local file system and returns the file path.""" + if self.storage_provider == "s3": + return self._get_file_from_s3(file_path) + return self._get_file_from_local(file_path) + + def delete_file(self, filename: str) -> None: + """Deletes a file either from S3 or the local file system.""" + if self.storage_provider == "s3": + self._delete_from_s3(filename) + + # Always delete from local storage + self._delete_from_local(filename) + + def delete_all_files(self) -> None: + """Deletes all files from the storage.""" + if self.storage_provider == "s3": + self._delete_all_from_s3() + + # Always delete from local storage + self._delete_all_from_local() + + +Storage = StorageProvider(provider=STORAGE_PROVIDER) diff --git a/backend/open_webui/test/__init__.py b/backend/open_webui/test/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/backend/open_webui/test/apps/webui/routers/test_auths.py b/backend/open_webui/test/apps/webui/routers/test_auths.py new file mode 100644 index 0000000000000000000000000000000000000000..bc14fb8ddcf4257e031ff126678e3f99bd282b9d --- /dev/null +++ b/backend/open_webui/test/apps/webui/routers/test_auths.py @@ -0,0 +1,200 @@ +from test.util.abstract_integration_test import AbstractPostgresTest +from test.util.mock_user import mock_webui_user + + +class TestAuths(AbstractPostgresTest): + BASE_PATH = "/api/v1/auths" + + def setup_class(cls): + super().setup_class() + from open_webui.apps.webui.models.auths import Auths + from open_webui.apps.webui.models.users import Users + + cls.users = Users + cls.auths = Auths + + def test_get_session_user(self): + with mock_webui_user(): + response = self.fast_api_client.get(self.create_url("")) + assert response.status_code == 200 + assert response.json() == { + "id": "1", + "name": "John Doe", + "email": "john.doe@openwebui.com", + "role": "user", + "profile_image_url": "/user.png", + } + + def test_update_profile(self): + from open_webui.utils.utils import get_password_hash + + user = self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password=get_password_hash("old_password"), + name="John Doe", + profile_image_url="/user.png", + role="user", + ) + + with mock_webui_user(id=user.id): + response = self.fast_api_client.post( + self.create_url("/update/profile"), + json={"name": "John Doe 2", "profile_image_url": "/user2.png"}, + ) + assert response.status_code == 200 + db_user = self.users.get_user_by_id(user.id) + assert db_user.name == "John Doe 2" + assert db_user.profile_image_url == "/user2.png" + + def test_update_password(self): + from open_webui.utils.utils import get_password_hash + + user = self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password=get_password_hash("old_password"), + name="John Doe", + profile_image_url="/user.png", + role="user", + ) + + with mock_webui_user(id=user.id): + response = self.fast_api_client.post( + self.create_url("/update/password"), + json={"password": "old_password", "new_password": "new_password"}, + ) + assert response.status_code == 200 + + old_auth = self.auths.authenticate_user( + "john.doe@openwebui.com", "old_password" + ) + assert old_auth is None + new_auth = self.auths.authenticate_user( + "john.doe@openwebui.com", "new_password" + ) + assert new_auth is not None + + def test_signin(self): + from open_webui.utils.utils import get_password_hash + + user = self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password=get_password_hash("password"), + name="John Doe", + profile_image_url="/user.png", + role="user", + ) + response = self.fast_api_client.post( + self.create_url("/signin"), + json={"email": "john.doe@openwebui.com", "password": "password"}, + ) + assert response.status_code == 200 + data = response.json() + assert data["id"] == user.id + assert data["name"] == "John Doe" + assert data["email"] == "john.doe@openwebui.com" + assert data["role"] == "user" + assert data["profile_image_url"] == "/user.png" + assert data["token"] is not None and len(data["token"]) > 0 + assert data["token_type"] == "Bearer" + + def test_signup(self): + response = self.fast_api_client.post( + self.create_url("/signup"), + json={ + "name": "John Doe", + "email": "john.doe@openwebui.com", + "password": "password", + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["id"] is not None and len(data["id"]) > 0 + assert data["name"] == "John Doe" + assert data["email"] == "john.doe@openwebui.com" + assert data["role"] in ["admin", "user", "pending"] + assert data["profile_image_url"] == "/user.png" + assert data["token"] is not None and len(data["token"]) > 0 + assert data["token_type"] == "Bearer" + + def test_add_user(self): + with mock_webui_user(): + response = self.fast_api_client.post( + self.create_url("/add"), + json={ + "name": "John Doe 2", + "email": "john.doe2@openwebui.com", + "password": "password2", + "role": "admin", + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["id"] is not None and len(data["id"]) > 0 + assert data["name"] == "John Doe 2" + assert data["email"] == "john.doe2@openwebui.com" + assert data["role"] == "admin" + assert data["profile_image_url"] == "/user.png" + assert data["token"] is not None and len(data["token"]) > 0 + assert data["token_type"] == "Bearer" + + def test_get_admin_details(self): + self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password="password", + name="John Doe", + profile_image_url="/user.png", + role="admin", + ) + with mock_webui_user(): + response = self.fast_api_client.get(self.create_url("/admin/details")) + + assert response.status_code == 200 + assert response.json() == { + "name": "John Doe", + "email": "john.doe@openwebui.com", + } + + def test_create_api_key_(self): + user = self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password="password", + name="John Doe", + profile_image_url="/user.png", + role="admin", + ) + with mock_webui_user(id=user.id): + response = self.fast_api_client.post(self.create_url("/api_key")) + assert response.status_code == 200 + data = response.json() + assert data["api_key"] is not None + assert len(data["api_key"]) > 0 + + def test_delete_api_key(self): + user = self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password="password", + name="John Doe", + profile_image_url="/user.png", + role="admin", + ) + self.users.update_user_api_key_by_id(user.id, "abc") + with mock_webui_user(id=user.id): + response = self.fast_api_client.delete(self.create_url("/api_key")) + assert response.status_code == 200 + assert response.json() == True + db_user = self.users.get_user_by_id(user.id) + assert db_user.api_key is None + + def test_get_api_key(self): + user = self.auths.insert_new_auth( + email="john.doe@openwebui.com", + password="password", + name="John Doe", + profile_image_url="/user.png", + role="admin", + ) + self.users.update_user_api_key_by_id(user.id, "abc") + with mock_webui_user(id=user.id): + response = self.fast_api_client.get(self.create_url("/api_key")) + assert response.status_code == 200 + assert response.json() == {"api_key": "abc"} diff --git a/backend/open_webui/test/apps/webui/routers/test_chats.py b/backend/open_webui/test/apps/webui/routers/test_chats.py new file mode 100644 index 0000000000000000000000000000000000000000..935316fd8f5a273d09a9644ef72a9ab1a11d4361 --- /dev/null +++ b/backend/open_webui/test/apps/webui/routers/test_chats.py @@ -0,0 +1,236 @@ +import uuid + +from test.util.abstract_integration_test import AbstractPostgresTest +from test.util.mock_user import mock_webui_user + + +class TestChats(AbstractPostgresTest): + BASE_PATH = "/api/v1/chats" + + def setup_class(cls): + super().setup_class() + + def setup_method(self): + super().setup_method() + from open_webui.apps.webui.models.chats import ChatForm, Chats + + self.chats = Chats + self.chats.insert_new_chat( + "2", + ChatForm( + **{ + "chat": { + "name": "chat1", + "description": "chat1 description", + "tags": ["tag1", "tag2"], + "history": {"currentId": "1", "messages": []}, + } + } + ), + ) + + def test_get_session_user_chat_list(self): + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + first_chat = response.json()[0] + assert first_chat["id"] is not None + assert first_chat["title"] == "New Chat" + assert first_chat["created_at"] is not None + assert first_chat["updated_at"] is not None + + def test_delete_all_user_chats(self): + with mock_webui_user(id="2"): + response = self.fast_api_client.delete(self.create_url("/")) + assert response.status_code == 200 + assert len(self.chats.get_chats()) == 0 + + def test_get_user_chat_list_by_user_id(self): + with mock_webui_user(id="3"): + response = self.fast_api_client.get(self.create_url("/list/user/2")) + assert response.status_code == 200 + first_chat = response.json()[0] + assert first_chat["id"] is not None + assert first_chat["title"] == "New Chat" + assert first_chat["created_at"] is not None + assert first_chat["updated_at"] is not None + + def test_create_new_chat(self): + with mock_webui_user(id="2"): + response = self.fast_api_client.post( + self.create_url("/new"), + json={ + "chat": { + "name": "chat2", + "description": "chat2 description", + "tags": ["tag1", "tag2"], + } + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["archived"] is False + assert data["chat"] == { + "name": "chat2", + "description": "chat2 description", + "tags": ["tag1", "tag2"], + } + assert data["user_id"] == "2" + assert data["id"] is not None + assert data["share_id"] is None + assert data["title"] == "New Chat" + assert data["updated_at"] is not None + assert data["created_at"] is not None + assert len(self.chats.get_chats()) == 2 + + def test_get_user_chats(self): + self.test_get_session_user_chat_list() + + def test_get_user_archived_chats(self): + self.chats.archive_all_chats_by_user_id("2") + from open_webui.apps.webui.internal.db import Session + + Session.commit() + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/all/archived")) + assert response.status_code == 200 + first_chat = response.json()[0] + assert first_chat["id"] is not None + assert first_chat["title"] == "New Chat" + assert first_chat["created_at"] is not None + assert first_chat["updated_at"] is not None + + def test_get_all_user_chats_in_db(self): + with mock_webui_user(id="4"): + response = self.fast_api_client.get(self.create_url("/all/db")) + assert response.status_code == 200 + assert len(response.json()) == 1 + + def test_get_archived_session_user_chat_list(self): + self.test_get_user_archived_chats() + + def test_archive_all_chats(self): + with mock_webui_user(id="2"): + response = self.fast_api_client.post(self.create_url("/archive/all")) + assert response.status_code == 200 + assert len(self.chats.get_archived_chats_by_user_id("2")) == 1 + + def test_get_shared_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + self.chats.update_chat_share_id_by_id(chat_id, chat_id) + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url(f"/share/{chat_id}")) + assert response.status_code == 200 + data = response.json() + assert data["id"] == chat_id + assert data["chat"] == { + "name": "chat1", + "description": "chat1 description", + "tags": ["tag1", "tag2"], + "history": {"currentId": "1", "messages": []}, + } + assert data["id"] == chat_id + assert data["share_id"] == chat_id + assert data["title"] == "New Chat" + + def test_get_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url(f"/{chat_id}")) + assert response.status_code == 200 + data = response.json() + assert data["id"] == chat_id + assert data["chat"] == { + "name": "chat1", + "description": "chat1 description", + "tags": ["tag1", "tag2"], + "history": {"currentId": "1", "messages": []}, + } + assert data["share_id"] is None + assert data["title"] == "New Chat" + assert data["user_id"] == "2" + + def test_update_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + with mock_webui_user(id="2"): + response = self.fast_api_client.post( + self.create_url(f"/{chat_id}"), + json={ + "chat": { + "name": "chat2", + "description": "chat2 description", + "tags": ["tag2", "tag4"], + "title": "Just another title", + } + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["id"] == chat_id + assert data["chat"] == { + "name": "chat2", + "title": "Just another title", + "description": "chat2 description", + "tags": ["tag2", "tag4"], + "history": {"currentId": "1", "messages": []}, + } + assert data["share_id"] is None + assert data["title"] == "Just another title" + assert data["user_id"] == "2" + + def test_delete_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + with mock_webui_user(id="2"): + response = self.fast_api_client.delete(self.create_url(f"/{chat_id}")) + assert response.status_code == 200 + assert response.json() is True + + def test_clone_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url(f"/{chat_id}/clone")) + + assert response.status_code == 200 + data = response.json() + assert data["id"] != chat_id + assert data["chat"] == { + "branchPointMessageId": "1", + "description": "chat1 description", + "history": {"currentId": "1", "messages": []}, + "name": "chat1", + "originalChatId": chat_id, + "tags": ["tag1", "tag2"], + "title": "Clone of New Chat", + } + assert data["share_id"] is None + assert data["title"] == "Clone of New Chat" + assert data["user_id"] == "2" + + def test_archive_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url(f"/{chat_id}/archive")) + assert response.status_code == 200 + + chat = self.chats.get_chat_by_id(chat_id) + assert chat.archived is True + + def test_share_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + with mock_webui_user(id="2"): + response = self.fast_api_client.post(self.create_url(f"/{chat_id}/share")) + assert response.status_code == 200 + + chat = self.chats.get_chat_by_id(chat_id) + assert chat.share_id is not None + + def test_delete_shared_chat_by_id(self): + chat_id = self.chats.get_chats()[0].id + share_id = str(uuid.uuid4()) + self.chats.update_chat_share_id_by_id(chat_id, share_id) + with mock_webui_user(id="2"): + response = self.fast_api_client.delete(self.create_url(f"/{chat_id}/share")) + assert response.status_code + + chat = self.chats.get_chat_by_id(chat_id) + assert chat.share_id is None diff --git a/backend/open_webui/test/apps/webui/routers/test_models.py b/backend/open_webui/test/apps/webui/routers/test_models.py new file mode 100644 index 0000000000000000000000000000000000000000..1d52658b8f0d2312232f67fb3856f319f1fa7d2d --- /dev/null +++ b/backend/open_webui/test/apps/webui/routers/test_models.py @@ -0,0 +1,61 @@ +from test.util.abstract_integration_test import AbstractPostgresTest +from test.util.mock_user import mock_webui_user + + +class TestModels(AbstractPostgresTest): + BASE_PATH = "/api/v1/models" + + def setup_class(cls): + super().setup_class() + from open_webui.apps.webui.models.models import Model + + cls.models = Model + + def test_models(self): + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + assert len(response.json()) == 0 + + with mock_webui_user(id="2"): + response = self.fast_api_client.post( + self.create_url("/add"), + json={ + "id": "my-model", + "base_model_id": "base-model-id", + "name": "Hello World", + "meta": { + "profile_image_url": "/static/favicon.png", + "description": "description", + "capabilities": None, + "model_config": {}, + }, + "params": {}, + }, + ) + assert response.status_code == 200 + + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + assert len(response.json()) == 1 + + with mock_webui_user(id="2"): + response = self.fast_api_client.get( + self.create_url(query_params={"id": "my-model"}) + ) + assert response.status_code == 200 + data = response.json()[0] + assert data["id"] == "my-model" + assert data["name"] == "Hello World" + + with mock_webui_user(id="2"): + response = self.fast_api_client.delete( + self.create_url("/delete?id=my-model") + ) + assert response.status_code == 200 + + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + assert len(response.json()) == 0 diff --git a/backend/open_webui/test/apps/webui/routers/test_prompts.py b/backend/open_webui/test/apps/webui/routers/test_prompts.py new file mode 100644 index 0000000000000000000000000000000000000000..d91bf77dc5b2602bd433f9dbe01ded8574df3db9 --- /dev/null +++ b/backend/open_webui/test/apps/webui/routers/test_prompts.py @@ -0,0 +1,91 @@ +from test.util.abstract_integration_test import AbstractPostgresTest +from test.util.mock_user import mock_webui_user + + +class TestPrompts(AbstractPostgresTest): + BASE_PATH = "/api/v1/prompts" + + def test_prompts(self): + # Get all prompts + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + assert len(response.json()) == 0 + + # Create a two new prompts + with mock_webui_user(id="2"): + response = self.fast_api_client.post( + self.create_url("/create"), + json={ + "command": "/my-command", + "title": "Hello World", + "content": "description", + }, + ) + assert response.status_code == 200 + with mock_webui_user(id="3"): + response = self.fast_api_client.post( + self.create_url("/create"), + json={ + "command": "/my-command2", + "title": "Hello World 2", + "content": "description 2", + }, + ) + assert response.status_code == 200 + + # Get all prompts + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + assert len(response.json()) == 2 + + # Get prompt by command + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/command/my-command")) + assert response.status_code == 200 + data = response.json() + assert data["command"] == "/my-command" + assert data["title"] == "Hello World" + assert data["content"] == "description" + assert data["user_id"] == "2" + + # Update prompt + with mock_webui_user(id="2"): + response = self.fast_api_client.post( + self.create_url("/command/my-command2/update"), + json={ + "command": "irrelevant for request", + "title": "Hello World Updated", + "content": "description Updated", + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["command"] == "/my-command2" + assert data["title"] == "Hello World Updated" + assert data["content"] == "description Updated" + assert data["user_id"] == "3" + + # Get prompt by command + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/command/my-command2")) + assert response.status_code == 200 + data = response.json() + assert data["command"] == "/my-command2" + assert data["title"] == "Hello World Updated" + assert data["content"] == "description Updated" + assert data["user_id"] == "3" + + # Delete prompt + with mock_webui_user(id="2"): + response = self.fast_api_client.delete( + self.create_url("/command/my-command/delete") + ) + assert response.status_code == 200 + + # Get all prompts + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/")) + assert response.status_code == 200 + assert len(response.json()) == 1 diff --git a/backend/open_webui/test/apps/webui/routers/test_users.py b/backend/open_webui/test/apps/webui/routers/test_users.py new file mode 100644 index 0000000000000000000000000000000000000000..6facf7055a2a3ef5d817ab71200a18a43c060c1b --- /dev/null +++ b/backend/open_webui/test/apps/webui/routers/test_users.py @@ -0,0 +1,167 @@ +from test.util.abstract_integration_test import AbstractPostgresTest +from test.util.mock_user import mock_webui_user + + +def _get_user_by_id(data, param): + return next((item for item in data if item["id"] == param), None) + + +def _assert_user(data, id, **kwargs): + user = _get_user_by_id(data, id) + assert user is not None + comparison_data = { + "name": f"user {id}", + "email": f"user{id}@openwebui.com", + "profile_image_url": f"/user{id}.png", + "role": "user", + **kwargs, + } + for key, value in comparison_data.items(): + assert user[key] == value + + +class TestUsers(AbstractPostgresTest): + BASE_PATH = "/api/v1/users" + + def setup_class(cls): + super().setup_class() + from open_webui.apps.webui.models.users import Users + + cls.users = Users + + def setup_method(self): + super().setup_method() + self.users.insert_new_user( + id="1", + name="user 1", + email="user1@openwebui.com", + profile_image_url="/user1.png", + role="user", + ) + self.users.insert_new_user( + id="2", + name="user 2", + email="user2@openwebui.com", + profile_image_url="/user2.png", + role="user", + ) + + def test_users(self): + # Get all users + with mock_webui_user(id="3"): + response = self.fast_api_client.get(self.create_url("")) + assert response.status_code == 200 + assert len(response.json()) == 2 + data = response.json() + _assert_user(data, "1") + _assert_user(data, "2") + + # update role + with mock_webui_user(id="3"): + response = self.fast_api_client.post( + self.create_url("/update/role"), json={"id": "2", "role": "admin"} + ) + assert response.status_code == 200 + _assert_user([response.json()], "2", role="admin") + + # Get all users + with mock_webui_user(id="3"): + response = self.fast_api_client.get(self.create_url("")) + assert response.status_code == 200 + assert len(response.json()) == 2 + data = response.json() + _assert_user(data, "1") + _assert_user(data, "2", role="admin") + + # Get (empty) user settings + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/user/settings")) + assert response.status_code == 200 + assert response.json() is None + + # Update user settings + with mock_webui_user(id="2"): + response = self.fast_api_client.post( + self.create_url("/user/settings/update"), + json={ + "ui": {"attr1": "value1", "attr2": "value2"}, + "model_config": {"attr3": "value3", "attr4": "value4"}, + }, + ) + assert response.status_code == 200 + + # Get user settings + with mock_webui_user(id="2"): + response = self.fast_api_client.get(self.create_url("/user/settings")) + assert response.status_code == 200 + assert response.json() == { + "ui": {"attr1": "value1", "attr2": "value2"}, + "model_config": {"attr3": "value3", "attr4": "value4"}, + } + + # Get (empty) user info + with mock_webui_user(id="1"): + response = self.fast_api_client.get(self.create_url("/user/info")) + assert response.status_code == 200 + assert response.json() is None + + # Update user info + with mock_webui_user(id="1"): + response = self.fast_api_client.post( + self.create_url("/user/info/update"), + json={"attr1": "value1", "attr2": "value2"}, + ) + assert response.status_code == 200 + + # Get user info + with mock_webui_user(id="1"): + response = self.fast_api_client.get(self.create_url("/user/info")) + assert response.status_code == 200 + assert response.json() == {"attr1": "value1", "attr2": "value2"} + + # Get user by id + with mock_webui_user(id="1"): + response = self.fast_api_client.get(self.create_url("/2")) + assert response.status_code == 200 + assert response.json() == {"name": "user 2", "profile_image_url": "/user2.png"} + + # Update user by id + with mock_webui_user(id="1"): + response = self.fast_api_client.post( + self.create_url("/2/update"), + json={ + "name": "user 2 updated", + "email": "user2-updated@openwebui.com", + "profile_image_url": "/user2-updated.png", + }, + ) + assert response.status_code == 200 + + # Get all users + with mock_webui_user(id="3"): + response = self.fast_api_client.get(self.create_url("")) + assert response.status_code == 200 + assert len(response.json()) == 2 + data = response.json() + _assert_user(data, "1") + _assert_user( + data, + "2", + role="admin", + name="user 2 updated", + email="user2-updated@openwebui.com", + profile_image_url="/user2-updated.png", + ) + + # Delete user by id + with mock_webui_user(id="1"): + response = self.fast_api_client.delete(self.create_url("/2")) + assert response.status_code == 200 + + # Get all users + with mock_webui_user(id="3"): + response = self.fast_api_client.get(self.create_url("")) + assert response.status_code == 200 + assert len(response.json()) == 1 + data = response.json() + _assert_user(data, "1") diff --git a/backend/open_webui/test/util/abstract_integration_test.py b/backend/open_webui/test/util/abstract_integration_test.py new file mode 100644 index 0000000000000000000000000000000000000000..2814731e067dc1bc2ac49ca8b48e1a32441d63ff --- /dev/null +++ b/backend/open_webui/test/util/abstract_integration_test.py @@ -0,0 +1,161 @@ +import logging +import os +import time + +import docker +import pytest +from docker import DockerClient +from pytest_docker.plugin import get_docker_ip +from fastapi.testclient import TestClient +from sqlalchemy import text, create_engine + + +log = logging.getLogger(__name__) + + +def get_fast_api_client(): + from main import app + + with TestClient(app) as c: + return c + + +class AbstractIntegrationTest: + BASE_PATH = None + + def create_url(self, path="", query_params=None): + if self.BASE_PATH is None: + raise Exception("BASE_PATH is not set") + parts = self.BASE_PATH.split("/") + parts = [part.strip() for part in parts if part.strip() != ""] + path_parts = path.split("/") + path_parts = [part.strip() for part in path_parts if part.strip() != ""] + query_parts = "" + if query_params: + query_parts = "&".join( + [f"{key}={value}" for key, value in query_params.items()] + ) + query_parts = f"?{query_parts}" + return "/".join(parts + path_parts) + query_parts + + @classmethod + def setup_class(cls): + pass + + def setup_method(self): + pass + + @classmethod + def teardown_class(cls): + pass + + def teardown_method(self): + pass + + +class AbstractPostgresTest(AbstractIntegrationTest): + DOCKER_CONTAINER_NAME = "postgres-test-container-will-get-deleted" + docker_client: DockerClient + + @classmethod + def _create_db_url(cls, env_vars_postgres: dict) -> str: + host = get_docker_ip() + user = env_vars_postgres["POSTGRES_USER"] + pw = env_vars_postgres["POSTGRES_PASSWORD"] + port = 8081 + db = env_vars_postgres["POSTGRES_DB"] + return f"postgresql://{user}:{pw}@{host}:{port}/{db}" + + @classmethod + def setup_class(cls): + super().setup_class() + try: + env_vars_postgres = { + "POSTGRES_USER": "user", + "POSTGRES_PASSWORD": "example", + "POSTGRES_DB": "openwebui", + } + cls.docker_client = docker.from_env() + cls.docker_client.containers.run( + "postgres:16.2", + detach=True, + environment=env_vars_postgres, + name=cls.DOCKER_CONTAINER_NAME, + ports={5432: ("0.0.0.0", 8081)}, + command="postgres -c log_statement=all", + ) + time.sleep(0.5) + + database_url = cls._create_db_url(env_vars_postgres) + os.environ["DATABASE_URL"] = database_url + retries = 10 + db = None + while retries > 0: + try: + from open_webui.config import OPEN_WEBUI_DIR + + db = create_engine(database_url, pool_pre_ping=True) + db = db.connect() + log.info("postgres is ready!") + break + except Exception as e: + log.warning(e) + time.sleep(3) + retries -= 1 + + if db: + # import must be after setting env! + cls.fast_api_client = get_fast_api_client() + db.close() + else: + raise Exception("Could not connect to Postgres") + except Exception as ex: + log.error(ex) + cls.teardown_class() + pytest.fail(f"Could not setup test environment: {ex}") + + def _check_db_connection(self): + from open_webui.apps.webui.internal.db import Session + + retries = 10 + while retries > 0: + try: + Session.execute(text("SELECT 1")) + Session.commit() + break + except Exception as e: + Session.rollback() + log.warning(e) + time.sleep(3) + retries -= 1 + + def setup_method(self): + super().setup_method() + self._check_db_connection() + + @classmethod + def teardown_class(cls) -> None: + super().teardown_class() + cls.docker_client.containers.get(cls.DOCKER_CONTAINER_NAME).remove(force=True) + + def teardown_method(self): + from open_webui.apps.webui.internal.db import Session + + # rollback everything not yet committed + Session.commit() + + # truncate all tables + tables = [ + "auth", + "chat", + "chatidtag", + "document", + "memory", + "model", + "prompt", + "tag", + '"user"', + ] + for table in tables: + Session.execute(text(f"TRUNCATE TABLE {table}")) + Session.commit() diff --git a/backend/open_webui/test/util/mock_user.py b/backend/open_webui/test/util/mock_user.py new file mode 100644 index 0000000000000000000000000000000000000000..96456a2c814fdea1a23f2ce41687d3c25a25eda5 --- /dev/null +++ b/backend/open_webui/test/util/mock_user.py @@ -0,0 +1,45 @@ +from contextlib import contextmanager + +from fastapi import FastAPI + + +@contextmanager +def mock_webui_user(**kwargs): + from open_webui.apps.webui.main import app + + with mock_user(app, **kwargs): + yield + + +@contextmanager +def mock_user(app: FastAPI, **kwargs): + from open_webui.utils.utils import ( + get_current_user, + get_verified_user, + get_admin_user, + get_current_user_by_api_key, + ) + from open_webui.apps.webui.models.users import User + + def create_user(): + user_parameters = { + "id": "1", + "name": "John Doe", + "email": "john.doe@openwebui.com", + "role": "user", + "profile_image_url": "/user.png", + "last_active_at": 1627351200, + "updated_at": 1627351200, + "created_at": 162735120, + **kwargs, + } + return User(**user_parameters) + + app.dependency_overrides = { + get_current_user: create_user, + get_verified_user: create_user, + get_admin_user: create_user, + get_current_user_by_api_key: create_user, + } + yield + app.dependency_overrides = {} diff --git a/backend/open_webui/utils/logo.png b/backend/open_webui/utils/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..519af1db620dbf4de3694660dae7abd7392f0b3c Binary files /dev/null and b/backend/open_webui/utils/logo.png differ diff --git a/backend/open_webui/utils/misc.py b/backend/open_webui/utils/misc.py new file mode 100644 index 0000000000000000000000000000000000000000..a5af492ba3198678eba4c148095ab15e215a5201 --- /dev/null +++ b/backend/open_webui/utils/misc.py @@ -0,0 +1,336 @@ +import hashlib +import re +import time +import uuid +from datetime import timedelta +from pathlib import Path +from typing import Callable, Optional + + +def get_messages_content(messages: list[dict]) -> str: + return "\n".join( + [ + f"{message['role'].upper()}: {get_content_from_message(message)}" + for message in messages + ] + ) + + +def get_last_user_message_item(messages: list[dict]) -> Optional[dict]: + for message in reversed(messages): + if message["role"] == "user": + return message + return None + + +def get_content_from_message(message: dict) -> Optional[str]: + if isinstance(message["content"], list): + for item in message["content"]: + if item["type"] == "text": + return item["text"] + else: + return message["content"] + return None + + +def get_last_user_message(messages: list[dict]) -> Optional[str]: + message = get_last_user_message_item(messages) + if message is None: + return None + return get_content_from_message(message) + + +def get_last_assistant_message(messages: list[dict]) -> Optional[str]: + for message in reversed(messages): + if message["role"] == "assistant": + return get_content_from_message(message) + return None + + +def get_system_message(messages: list[dict]) -> Optional[dict]: + for message in messages: + if message["role"] == "system": + return message + return None + + +def remove_system_message(messages: list[dict]) -> list[dict]: + return [message for message in messages if message["role"] != "system"] + + +def pop_system_message(messages: list[dict]) -> tuple[Optional[dict], list[dict]]: + return get_system_message(messages), remove_system_message(messages) + + +def prepend_to_first_user_message_content( + content: str, messages: list[dict] +) -> list[dict]: + for message in messages: + if message["role"] == "user": + if isinstance(message["content"], list): + for item in message["content"]: + if item["type"] == "text": + item["text"] = f"{content}\n{item['text']}" + else: + message["content"] = f"{content}\n{message['content']}" + break + return messages + + +def add_or_update_system_message(content: str, messages: list[dict]): + """ + Adds a new system message at the beginning of the messages list + or updates the existing system message at the beginning. + + :param msg: The message to be added or appended. + :param messages: The list of message dictionaries. + :return: The updated list of message dictionaries. + """ + + if messages and messages[0].get("role") == "system": + messages[0]["content"] = f"{content}\n{messages[0]['content']}" + else: + # Insert at the beginning + messages.insert(0, {"role": "system", "content": content}) + + return messages + + +def openai_chat_message_template(model: str): + return { + "id": f"{model}-{str(uuid.uuid4())}", + "created": int(time.time()), + "model": model, + "choices": [{"index": 0, "logprobs": None, "finish_reason": None}], + } + + +def openai_chat_chunk_message_template( + model: str, message: Optional[str] = None +) -> dict: + template = openai_chat_message_template(model) + template["object"] = "chat.completion.chunk" + if message: + template["choices"][0]["delta"] = {"content": message} + else: + template["choices"][0]["finish_reason"] = "stop" + return template + + +def openai_chat_completion_message_template( + model: str, message: Optional[str] = None +) -> dict: + template = openai_chat_message_template(model) + template["object"] = "chat.completion" + if message is not None: + template["choices"][0]["message"] = {"content": message, "role": "assistant"} + template["choices"][0]["finish_reason"] = "stop" + return template + + +def get_gravatar_url(email): + # Trim leading and trailing whitespace from + # an email address and force all characters + # to lower case + address = str(email).strip().lower() + + # Create a SHA256 hash of the final string + hash_object = hashlib.sha256(address.encode()) + hash_hex = hash_object.hexdigest() + + # Grab the actual image URL + return f"https://www.gravatar.com/avatar/{hash_hex}?d=mp" + + +def calculate_sha256(file): + sha256 = hashlib.sha256() + # Read the file in chunks to efficiently handle large files + for chunk in iter(lambda: file.read(8192), b""): + sha256.update(chunk) + return sha256.hexdigest() + + +def calculate_sha256_string(string): + # Create a new SHA-256 hash object + sha256_hash = hashlib.sha256() + # Update the hash object with the bytes of the input string + sha256_hash.update(string.encode("utf-8")) + # Get the hexadecimal representation of the hash + hashed_string = sha256_hash.hexdigest() + return hashed_string + + +def validate_email_format(email: str) -> bool: + if email.endswith("@localhost"): + return True + + return bool(re.match(r"[^@]+@[^@]+\.[^@]+", email)) + + +def sanitize_filename(file_name): + # Convert to lowercase + lower_case_file_name = file_name.lower() + + # Remove special characters using regular expression + sanitized_file_name = re.sub(r"[^\w\s]", "", lower_case_file_name) + + # Replace spaces with dashes + final_file_name = re.sub(r"\s+", "-", sanitized_file_name) + + return final_file_name + + +def extract_folders_after_data_docs(path): + # Convert the path to a Path object if it's not already + path = Path(path) + + # Extract parts of the path + parts = path.parts + + # Find the index of '/data/docs' in the path + try: + index_data_docs = parts.index("data") + 1 + index_docs = parts.index("docs", index_data_docs) + 1 + except ValueError: + return [] + + # Exclude the filename and accumulate folder names + tags = [] + + folders = parts[index_docs:-1] + for idx, _ in enumerate(folders): + tags.append("/".join(folders[: idx + 1])) + + return tags + + +def parse_duration(duration: str) -> Optional[timedelta]: + if duration == "-1" or duration == "0": + return None + + # Regular expression to find number and unit pairs + pattern = r"(-?\d+(\.\d+)?)(ms|s|m|h|d|w)" + matches = re.findall(pattern, duration) + + if not matches: + raise ValueError("Invalid duration string") + + total_duration = timedelta() + + for number, _, unit in matches: + number = float(number) + if unit == "ms": + total_duration += timedelta(milliseconds=number) + elif unit == "s": + total_duration += timedelta(seconds=number) + elif unit == "m": + total_duration += timedelta(minutes=number) + elif unit == "h": + total_duration += timedelta(hours=number) + elif unit == "d": + total_duration += timedelta(days=number) + elif unit == "w": + total_duration += timedelta(weeks=number) + + return total_duration + + +def parse_ollama_modelfile(model_text): + parameters_meta = { + "mirostat": int, + "mirostat_eta": float, + "mirostat_tau": float, + "num_ctx": int, + "repeat_last_n": int, + "repeat_penalty": float, + "temperature": float, + "seed": int, + "tfs_z": float, + "num_predict": int, + "top_k": int, + "top_p": float, + "num_keep": int, + "typical_p": float, + "presence_penalty": float, + "frequency_penalty": float, + "penalize_newline": bool, + "numa": bool, + "num_batch": int, + "num_gpu": int, + "main_gpu": int, + "low_vram": bool, + "f16_kv": bool, + "vocab_only": bool, + "use_mmap": bool, + "use_mlock": bool, + "num_thread": int, + } + + data = {"base_model_id": None, "params": {}} + + # Parse base model + base_model_match = re.search( + r"^FROM\s+(\w+)", model_text, re.MULTILINE | re.IGNORECASE + ) + if base_model_match: + data["base_model_id"] = base_model_match.group(1) + + # Parse template + template_match = re.search( + r'TEMPLATE\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE + ) + if template_match: + data["params"] = {"template": template_match.group(1).strip()} + + # Parse stops + stops = re.findall(r'PARAMETER stop "(.*?)"', model_text, re.IGNORECASE) + if stops: + data["params"]["stop"] = stops + + # Parse other parameters from the provided list + for param, param_type in parameters_meta.items(): + param_match = re.search(rf"PARAMETER {param} (.+)", model_text, re.IGNORECASE) + if param_match: + value = param_match.group(1) + + try: + if param_type is int: + value = int(value) + elif param_type is float: + value = float(value) + elif param_type is bool: + value = value.lower() == "true" + except Exception as e: + print(e) + continue + + data["params"][param] = value + + # Parse adapter + adapter_match = re.search(r"ADAPTER (.+)", model_text, re.IGNORECASE) + if adapter_match: + data["params"]["adapter"] = adapter_match.group(1) + + # Parse system description + system_desc_match = re.search( + r'SYSTEM\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE + ) + system_desc_match_single = re.search( + r"SYSTEM\s+([^\n]+)", model_text, re.IGNORECASE + ) + + if system_desc_match: + data["params"]["system"] = system_desc_match.group(1).strip() + elif system_desc_match_single: + data["params"]["system"] = system_desc_match_single.group(1).strip() + + # Parse messages + messages = [] + message_matches = re.findall(r"MESSAGE (\w+) (.+)", model_text, re.IGNORECASE) + for role, content in message_matches: + messages.append({"role": role, "content": content}) + + if messages: + data["params"]["messages"] = messages + + return data diff --git a/backend/open_webui/utils/oauth.py b/backend/open_webui/utils/oauth.py new file mode 100644 index 0000000000000000000000000000000000000000..722b1ea73cb2e1167d4acc5b0905e9b3cd826ae8 --- /dev/null +++ b/backend/open_webui/utils/oauth.py @@ -0,0 +1,261 @@ +import base64 +import logging +import mimetypes +import uuid + +import aiohttp +from authlib.integrations.starlette_client import OAuth +from authlib.oidc.core import UserInfo +from fastapi import ( + HTTPException, + status, +) +from starlette.responses import RedirectResponse + +from open_webui.apps.webui.models.auths import Auths +from open_webui.apps.webui.models.users import Users +from open_webui.config import ( + DEFAULT_USER_ROLE, + ENABLE_OAUTH_SIGNUP, + OAUTH_MERGE_ACCOUNTS_BY_EMAIL, + OAUTH_PROVIDERS, + ENABLE_OAUTH_ROLE_MANAGEMENT, + OAUTH_ROLES_CLAIM, + OAUTH_EMAIL_CLAIM, + OAUTH_PICTURE_CLAIM, + OAUTH_USERNAME_CLAIM, + OAUTH_ALLOWED_ROLES, + OAUTH_ADMIN_ROLES, + WEBHOOK_URL, + JWT_EXPIRES_IN, + AppConfig, +) +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import WEBUI_SESSION_COOKIE_SAME_SITE, WEBUI_SESSION_COOKIE_SECURE +from open_webui.utils.misc import parse_duration +from open_webui.utils.utils import get_password_hash, create_token +from open_webui.utils.webhook import post_webhook + +log = logging.getLogger(__name__) + +auth_manager_config = AppConfig() +auth_manager_config.DEFAULT_USER_ROLE = DEFAULT_USER_ROLE +auth_manager_config.ENABLE_OAUTH_SIGNUP = ENABLE_OAUTH_SIGNUP +auth_manager_config.OAUTH_MERGE_ACCOUNTS_BY_EMAIL = OAUTH_MERGE_ACCOUNTS_BY_EMAIL +auth_manager_config.ENABLE_OAUTH_ROLE_MANAGEMENT = ENABLE_OAUTH_ROLE_MANAGEMENT +auth_manager_config.OAUTH_ROLES_CLAIM = OAUTH_ROLES_CLAIM +auth_manager_config.OAUTH_EMAIL_CLAIM = OAUTH_EMAIL_CLAIM +auth_manager_config.OAUTH_PICTURE_CLAIM = OAUTH_PICTURE_CLAIM +auth_manager_config.OAUTH_USERNAME_CLAIM = OAUTH_USERNAME_CLAIM +auth_manager_config.OAUTH_ALLOWED_ROLES = OAUTH_ALLOWED_ROLES +auth_manager_config.OAUTH_ADMIN_ROLES = OAUTH_ADMIN_ROLES +auth_manager_config.WEBHOOK_URL = WEBHOOK_URL +auth_manager_config.JWT_EXPIRES_IN = JWT_EXPIRES_IN + + +class OAuthManager: + def __init__(self): + self.oauth = OAuth() + for provider_name, provider_config in OAUTH_PROVIDERS.items(): + self.oauth.register( + name=provider_name, + client_id=provider_config["client_id"], + client_secret=provider_config["client_secret"], + server_metadata_url=provider_config["server_metadata_url"], + client_kwargs={ + "scope": provider_config["scope"], + }, + redirect_uri=provider_config["redirect_uri"], + ) + + def get_client(self, provider_name): + return self.oauth.create_client(provider_name) + + def get_user_role(self, user, user_data): + if user and Users.get_num_users() == 1: + # If the user is the only user, assign the role "admin" - actually repairs role for single user on login + return "admin" + if not user and Users.get_num_users() == 0: + # If there are no users, assign the role "admin", as the first user will be an admin + return "admin" + + if auth_manager_config.ENABLE_OAUTH_ROLE_MANAGEMENT: + oauth_claim = auth_manager_config.OAUTH_ROLES_CLAIM + oauth_allowed_roles = auth_manager_config.OAUTH_ALLOWED_ROLES + oauth_admin_roles = auth_manager_config.OAUTH_ADMIN_ROLES + oauth_roles = None + role = "pending" # Default/fallback role if no matching roles are found + + # Next block extracts the roles from the user data, accepting nested claims of any depth + if oauth_claim and oauth_allowed_roles and oauth_admin_roles: + claim_data = user_data + nested_claims = oauth_claim.split(".") + for nested_claim in nested_claims: + claim_data = claim_data.get(nested_claim, {}) + oauth_roles = claim_data if isinstance(claim_data, list) else None + + # If any roles are found, check if they match the allowed or admin roles + if oauth_roles: + # If role management is enabled, and matching roles are provided, use the roles + for allowed_role in oauth_allowed_roles: + # If the user has any of the allowed roles, assign the role "user" + if allowed_role in oauth_roles: + role = "user" + break + for admin_role in oauth_admin_roles: + # If the user has any of the admin roles, assign the role "admin" + if admin_role in oauth_roles: + role = "admin" + break + else: + if not user: + # If role management is disabled, use the default role for new users + role = auth_manager_config.DEFAULT_USER_ROLE + else: + # If role management is disabled, use the existing role for existing users + role = user.role + + return role + + async def handle_login(self, provider, request): + if provider not in OAUTH_PROVIDERS: + raise HTTPException(404) + # If the provider has a custom redirect URL, use that, otherwise automatically generate one + redirect_uri = OAUTH_PROVIDERS[provider].get("redirect_uri") or request.url_for( + "oauth_callback", provider=provider + ) + client = self.get_client(provider) + if client is None: + raise HTTPException(404) + return await client.authorize_redirect(request, redirect_uri) + + async def handle_callback(self, provider, request, response): + if provider not in OAUTH_PROVIDERS: + raise HTTPException(404) + client = self.get_client(provider) + try: + token = await client.authorize_access_token(request) + except Exception as e: + log.warning(f"OAuth callback error: {e}") + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + user_data: UserInfo = token["userinfo"] + if not user_data: + user_data: UserInfo = await client.userinfo(token=token) + if not user_data: + log.warning(f"OAuth callback failed, user data is missing: {token}") + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + + sub = user_data.get("sub") + if not sub: + log.warning(f"OAuth callback failed, sub is missing: {user_data}") + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + provider_sub = f"{provider}@{sub}" + email_claim = auth_manager_config.OAUTH_EMAIL_CLAIM + email = user_data.get(email_claim, "").lower() + # We currently mandate that email addresses are provided + if not email: + log.warning(f"OAuth callback failed, email is missing: {user_data}") + raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED) + + # Check if the user exists + user = Users.get_user_by_oauth_sub(provider_sub) + + if not user: + # If the user does not exist, check if merging is enabled + if auth_manager_config.OAUTH_MERGE_ACCOUNTS_BY_EMAIL: + # Check if the user exists by email + user = Users.get_user_by_email(email) + if user: + # Update the user with the new oauth sub + Users.update_user_oauth_sub_by_id(user.id, provider_sub) + + if user: + determined_role = self.get_user_role(user, user_data) + if user.role != determined_role: + Users.update_user_role_by_id(user.id, determined_role) + + if not user: + # If the user does not exist, check if signups are enabled + if auth_manager_config.ENABLE_OAUTH_SIGNUP: + # Check if an existing user with the same email already exists + existing_user = Users.get_user_by_email( + user_data.get("email", "").lower() + ) + if existing_user: + raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN) + + picture_claim = auth_manager_config.OAUTH_PICTURE_CLAIM + picture_url = user_data.get(picture_claim, "") + if picture_url: + # Download the profile image into a base64 string + try: + async with aiohttp.ClientSession() as session: + async with session.get(picture_url) as resp: + picture = await resp.read() + base64_encoded_picture = base64.b64encode( + picture + ).decode("utf-8") + guessed_mime_type = mimetypes.guess_type(picture_url)[0] + if guessed_mime_type is None: + # assume JPG, browsers are tolerant enough of image formats + guessed_mime_type = "image/jpeg" + picture_url = f"data:{guessed_mime_type};base64,{base64_encoded_picture}" + except Exception as e: + log.error( + f"Error downloading profile image '{picture_url}': {e}" + ) + picture_url = "" + if not picture_url: + picture_url = "/user.png" + username_claim = auth_manager_config.OAUTH_USERNAME_CLAIM + + role = self.get_user_role(None, user_data) + + user = Auths.insert_new_auth( + email=email, + password=get_password_hash( + str(uuid.uuid4()) + ), # Random password, not used + name=user_data.get(username_claim, "User"), + profile_image_url=picture_url, + role=role, + oauth_sub=provider_sub, + ) + + if auth_manager_config.WEBHOOK_URL: + post_webhook( + auth_manager_config.WEBHOOK_URL, + auth_manager_config.WEBHOOK_MESSAGES.USER_SIGNUP(user.name), + { + "action": "signup", + "message": auth_manager_config.WEBHOOK_MESSAGES.USER_SIGNUP( + user.name + ), + "user": user.model_dump_json(exclude_none=True), + }, + ) + else: + raise HTTPException( + status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED + ) + + jwt_token = create_token( + data={"id": user.id}, + expires_delta=parse_duration(auth_manager_config.JWT_EXPIRES_IN), + ) + + # Set the cookie token + response.set_cookie( + key="token", + value=jwt_token, + httponly=True, # Ensures the cookie is not accessible via JavaScript + samesite=WEBUI_SESSION_COOKIE_SAME_SITE, + secure=WEBUI_SESSION_COOKIE_SECURE, + ) + + # Redirect back to the frontend with the JWT token + redirect_url = f"{request.base_url}auth#token={jwt_token}" + return RedirectResponse(url=redirect_url) + + +oauth_manager = OAuthManager() diff --git a/backend/open_webui/utils/payload.py b/backend/open_webui/utils/payload.py new file mode 100644 index 0000000000000000000000000000000000000000..04e3a98c408ee52bbd68e3f9778e5851814e31d5 --- /dev/null +++ b/backend/open_webui/utils/payload.py @@ -0,0 +1,183 @@ +from open_webui.utils.task import prompt_template +from open_webui.utils.misc import ( + add_or_update_system_message, +) + +from typing import Callable, Optional + + +# inplace function: form_data is modified +def apply_model_system_prompt_to_body(params: dict, form_data: dict, user) -> dict: + system = params.get("system", None) + if not system: + return form_data + + if user: + template_params = { + "user_name": user.name, + "user_location": user.info.get("location") if user.info else None, + } + else: + template_params = {} + system = prompt_template(system, **template_params) + form_data["messages"] = add_or_update_system_message( + system, form_data.get("messages", []) + ) + return form_data + + +# inplace function: form_data is modified +def apply_model_params_to_body( + params: dict, form_data: dict, mappings: dict[str, Callable] +) -> dict: + if not params: + return form_data + + for key, cast_func in mappings.items(): + if (value := params.get(key)) is not None: + form_data[key] = cast_func(value) + + return form_data + + +# inplace function: form_data is modified +def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict: + mappings = { + "temperature": float, + "top_p": float, + "max_tokens": int, + "frequency_penalty": float, + "seed": lambda x: x, + "stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x], + } + return apply_model_params_to_body(params, form_data, mappings) + + +def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict: + opts = [ + "temperature", + "top_p", + "seed", + "mirostat", + "mirostat_eta", + "mirostat_tau", + "num_ctx", + "num_batch", + "num_keep", + "repeat_last_n", + "tfs_z", + "top_k", + "min_p", + "use_mmap", + "use_mlock", + "num_thread", + "num_gpu", + ] + mappings = {i: lambda x: x for i in opts} + form_data = apply_model_params_to_body(params, form_data, mappings) + + name_differences = { + "max_tokens": "num_predict", + "frequency_penalty": "repeat_penalty", + } + + for key, value in name_differences.items(): + if (param := params.get(key, None)) is not None: + form_data[value] = param + + return form_data + + +def convert_messages_openai_to_ollama(messages: list[dict]) -> list[dict]: + ollama_messages = [] + + for message in messages: + # Initialize the new message structure with the role + new_message = {"role": message["role"]} + + content = message.get("content", []) + + # Check if the content is a string (just a simple message) + if isinstance(content, str): + # If the content is a string, it's pure text + new_message["content"] = content + else: + # Otherwise, assume the content is a list of dicts, e.g., text followed by an image URL + content_text = "" + images = [] + + # Iterate through the list of content items + for item in content: + # Check if it's a text type + if item.get("type") == "text": + content_text += item.get("text", "") + + # Check if it's an image URL type + elif item.get("type") == "image_url": + img_url = item.get("image_url", {}).get("url", "") + if img_url: + # If the image url starts with data:, it's a base64 image and should be trimmed + if img_url.startswith("data:"): + img_url = img_url.split(",")[-1] + images.append(img_url) + + # Add content text (if any) + if content_text: + new_message["content"] = content_text.strip() + + # Add images (if any) + if images: + new_message["images"] = images + + # Append the new formatted message to the result + ollama_messages.append(new_message) + + return ollama_messages + + +def convert_payload_openai_to_ollama(openai_payload: dict) -> dict: + """ + Converts a payload formatted for OpenAI's API to be compatible with Ollama's API endpoint for chat completions. + + Args: + openai_payload (dict): The payload originally designed for OpenAI API usage. + + Returns: + dict: A modified payload compatible with the Ollama API. + """ + ollama_payload = {} + + # Mapping basic model and message details + ollama_payload["model"] = openai_payload.get("model") + ollama_payload["messages"] = convert_messages_openai_to_ollama( + openai_payload.get("messages") + ) + ollama_payload["stream"] = openai_payload.get("stream", False) + + # If there are advanced parameters in the payload, format them in Ollama's options field + ollama_options = {} + + # Handle parameters which map directly + for param in ["temperature", "top_p", "seed"]: + if param in openai_payload: + ollama_options[param] = openai_payload[param] + + # Mapping OpenAI's `max_tokens` -> Ollama's `num_predict` + if "max_completion_tokens" in openai_payload: + ollama_options["num_predict"] = openai_payload["max_completion_tokens"] + elif "max_tokens" in openai_payload: + ollama_options["num_predict"] = openai_payload["max_tokens"] + + # Handle frequency / presence_penalty, which needs renaming and checking + if "frequency_penalty" in openai_payload: + ollama_options["repeat_penalty"] = openai_payload["frequency_penalty"] + + if "presence_penalty" in openai_payload and "penalty" not in ollama_options: + # We are assuming presence penalty uses a similar concept in Ollama, which needs custom handling if exists. + ollama_options["new_topic_penalty"] = openai_payload["presence_penalty"] + + # Add options to payload if any have been set + if ollama_options: + ollama_payload["options"] = ollama_options + + return ollama_payload diff --git a/backend/open_webui/utils/pdf_generator.py b/backend/open_webui/utils/pdf_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..6c3cf55cee1cafaa96c5aa7e09a5c1754b60bceb --- /dev/null +++ b/backend/open_webui/utils/pdf_generator.py @@ -0,0 +1,139 @@ +from datetime import datetime +from io import BytesIO +from pathlib import Path +from typing import Dict, Any, List + +from markdown import markdown + +import site +from fpdf import FPDF + +from open_webui.env import STATIC_DIR, FONTS_DIR +from open_webui.apps.webui.models.chats import ChatTitleMessagesForm + + +class PDFGenerator: + """ + Description: + The `PDFGenerator` class is designed to create PDF documents from chat messages. + The process involves transforming markdown content into HTML and then into a PDF format + + Attributes: + - `form_data`: An instance of `ChatTitleMessagesForm` containing title and messages. + + """ + + def __init__(self, form_data: ChatTitleMessagesForm): + self.html_body = None + self.messages_html = None + self.form_data = form_data + + self.css = Path(STATIC_DIR / "assets" / "pdf-style.css").read_text() + + def format_timestamp(self, timestamp: float) -> str: + """Convert a UNIX timestamp to a formatted date string.""" + try: + date_time = datetime.fromtimestamp(timestamp) + return date_time.strftime("%Y-%m-%d, %H:%M:%S") + except (ValueError, TypeError) as e: + # Log the error if necessary + return "" + + def _build_html_message(self, message: Dict[str, Any]) -> str: + """Build HTML for a single message.""" + role = message.get("role", "user") + content = message.get("content", "") + timestamp = message.get("timestamp") + + model = message.get("model") if role == "assistant" else "" + + date_str = self.format_timestamp(timestamp) if timestamp else "" + + # extends pymdownx extension to convert markdown to html. + # - https://facelessuser.github.io/pymdown-extensions/usage_notes/ + html_content = markdown(content, extensions=["pymdownx.extra"]) + + html_message = f""" +
        + {date_str} +
        +

        + {role.title()} + {model} +

        +
        +
        + {html_content} +
        +
        + """ + return html_message + + def _generate_html_body(self) -> str: + """Generate the full HTML body for the PDF.""" + return f""" + + + + + + +
        +
        +

        {self.form_data.title}

        +
        +
        + {self.messages_html} +
        +
        + + + """ + + def generate_chat_pdf(self) -> bytes: + """ + Generate a PDF from chat messages. + """ + try: + global FONTS_DIR + + pdf = FPDF() + pdf.add_page() + + # When running using `pip install` the static directory is in the site packages. + if not FONTS_DIR.exists(): + FONTS_DIR = Path(site.getsitepackages()[0]) / "static/fonts" + # When running using `pip install -e .` the static directory is in the site packages. + # This path only works if `open-webui serve` is run from the root of this project. + if not FONTS_DIR.exists(): + FONTS_DIR = Path("./backend/static/fonts") + + pdf.add_font("NotoSans", "", f"{FONTS_DIR}/NotoSans-Regular.ttf") + pdf.add_font("NotoSans", "b", f"{FONTS_DIR}/NotoSans-Bold.ttf") + pdf.add_font("NotoSans", "i", f"{FONTS_DIR}/NotoSans-Italic.ttf") + pdf.add_font("NotoSansKR", "", f"{FONTS_DIR}/NotoSansKR-Regular.ttf") + pdf.add_font("NotoSansJP", "", f"{FONTS_DIR}/NotoSansJP-Regular.ttf") + pdf.add_font("NotoSansSC", "", f"{FONTS_DIR}/NotoSansSC-Regular.ttf") + + pdf.set_font("NotoSans", size=12) + pdf.set_fallback_fonts(["NotoSansKR", "NotoSansJP", "NotoSansSC"]) + + pdf.set_auto_page_break(auto=True, margin=15) + + # Build HTML messages + messages_html_list: List[str] = [ + self._build_html_message(msg) for msg in self.form_data.messages + ] + self.messages_html = "
        " + "".join(messages_html_list) + "
        " + + # Generate full HTML body + self.html_body = self._generate_html_body() + + pdf.write_html(self.html_body) + + # Save the pdf with name .pdf + pdf_bytes = pdf.output() + + return bytes(pdf_bytes) + except Exception as e: + raise e diff --git a/backend/open_webui/utils/response.py b/backend/open_webui/utils/response.py new file mode 100644 index 0000000000000000000000000000000000000000..b8501e92cc1b5afe410b5b66adfc5caa35fde9bd --- /dev/null +++ b/backend/open_webui/utils/response.py @@ -0,0 +1,31 @@ +import json +from open_webui.utils.misc import ( + openai_chat_chunk_message_template, + openai_chat_completion_message_template, +) + + +def convert_response_ollama_to_openai(ollama_response: dict) -> dict: + model = ollama_response.get("model", "ollama") + message_content = ollama_response.get("message", {}).get("content", "") + + response = openai_chat_completion_message_template(model, message_content) + return response + + +async def convert_streaming_response_ollama_to_openai(ollama_streaming_response): + async for data in ollama_streaming_response.body_iterator: + data = json.loads(data) + + model = data.get("model", "ollama") + message_content = data.get("message", {}).get("content", "") + done = data.get("done", False) + + data = openai_chat_chunk_message_template( + model, message_content if not done else None + ) + + line = f"data: {json.dumps(data)}\n\n" + yield line + + yield "data: [DONE]\n\n" diff --git a/backend/open_webui/utils/schemas.py b/backend/open_webui/utils/schemas.py new file mode 100644 index 0000000000000000000000000000000000000000..4d1d448cd7f4a9ba4c4840d889ce18e0bd71bd89 --- /dev/null +++ b/backend/open_webui/utils/schemas.py @@ -0,0 +1,112 @@ +from ast import literal_eval +from typing import Any, Literal, Optional, Type + +from pydantic import BaseModel, Field, create_model + + +def json_schema_to_model(tool_dict: dict[str, Any]) -> Type[BaseModel]: + """ + Converts a JSON schema to a Pydantic BaseModel class. + + Args: + json_schema: The JSON schema to convert. + + Returns: + A Pydantic BaseModel class. + """ + + # Extract the model name from the schema title. + model_name = tool_dict["name"] + schema = tool_dict["parameters"] + + # Extract the field definitions from the schema properties. + field_definitions = { + name: json_schema_to_pydantic_field(name, prop, schema.get("required", [])) + for name, prop in schema.get("properties", {}).items() + } + + # Create the BaseModel class using create_model(). + return create_model(model_name, **field_definitions) + + +def json_schema_to_pydantic_field( + name: str, json_schema: dict[str, Any], required: list[str] +) -> Any: + """ + Converts a JSON schema property to a Pydantic field definition. + + Args: + name: The field name. + json_schema: The JSON schema property. + + Returns: + A Pydantic field definition. + """ + + # Get the field type. + type_ = json_schema_to_pydantic_type(json_schema) + + # Get the field description. + description = json_schema.get("description") + + # Get the field examples. + examples = json_schema.get("examples") + + # Create a Field object with the type, description, and examples. + # The 'required' flag will be set later when creating the model. + return ( + type_, + Field( + description=description, + examples=examples, + default=... if name in required else None, + ), + ) + + +def json_schema_to_pydantic_type(json_schema: dict[str, Any]) -> Any: + """ + Converts a JSON schema type to a Pydantic type. + + Args: + json_schema: The JSON schema to convert. + + Returns: + A Pydantic type. + """ + + type_ = json_schema.get("type") + + if type_ == "string" or type_ == "str": + return str + elif type_ == "integer" or type_ == "int": + return int + elif type_ == "number" or type_ == "float": + return float + elif type_ == "boolean" or type_ == "bool": + return bool + elif type_ == "array" or type_ == "list": + items_schema = json_schema.get("items") + if items_schema: + item_type = json_schema_to_pydantic_type(items_schema) + return list[item_type] + else: + return list + elif type_ == "object": + # Handle nested models. + properties = json_schema.get("properties") + if properties: + nested_model = json_schema_to_model(json_schema) + return nested_model + else: + return dict + elif type_ == "null": + return Optional[Any] # Use Optional[Any] for nullable fields + elif type_ == "literal": + return Literal[literal_eval(json_schema.get("enum"))] + elif type_ == "optional": + inner_schema = json_schema.get("items", {"type": "string"}) + inner_type = json_schema_to_pydantic_type(inner_schema) + return Optional[inner_type] + else: + raise ValueError(f"Unsupported JSON schema type: {type_}") diff --git a/backend/open_webui/utils/security_headers.py b/backend/open_webui/utils/security_headers.py new file mode 100644 index 0000000000000000000000000000000000000000..a656b29355a8e39a17527d59c6dac9f27fc51ab1 --- /dev/null +++ b/backend/open_webui/utils/security_headers.py @@ -0,0 +1,115 @@ +import re +import os + +from fastapi import Request +from starlette.middleware.base import BaseHTTPMiddleware +from typing import Dict + + +class SecurityHeadersMiddleware(BaseHTTPMiddleware): + async def dispatch(self, request: Request, call_next): + response = await call_next(request) + response.headers.update(set_security_headers()) + return response + + +def set_security_headers() -> Dict[str, str]: + """ + Sets security headers based on environment variables. + + This function reads specific environment variables and uses their values + to set corresponding security headers. The headers that can be set are: + - cache-control + - strict-transport-security + - referrer-policy + - x-content-type-options + - x-download-options + - x-frame-options + - x-permitted-cross-domain-policies + + Each environment variable is associated with a specific setter function + that constructs the header. If the environment variable is set, the + corresponding header is added to the options dictionary. + + Returns: + dict: A dictionary containing the security headers and their values. + """ + options = {} + header_setters = { + "CACHE_CONTROL": set_cache_control, + "HSTS": set_hsts, + "REFERRER_POLICY": set_referrer, + "XCONTENT_TYPE": set_xcontent_type, + "XDOWNLOAD_OPTIONS": set_xdownload_options, + "XFRAME_OPTIONS": set_xframe, + "XPERMITTED_CROSS_DOMAIN_POLICIES": set_xpermitted_cross_domain_policies, + } + + for env_var, setter in header_setters.items(): + value = os.environ.get(env_var, None) + if value: + header = setter(value) + if header: + options.update(header) + + return options + + +# Set HTTP Strict Transport Security(HSTS) response header +def set_hsts(value: str): + pattern = r"^max-age=(\d+)(;includeSubDomains)?(;preload)?$" + match = re.match(pattern, value, re.IGNORECASE) + if not match: + value = "max-age=31536000;includeSubDomains" + return {"Strict-Transport-Security": value} + + +# Set X-Frame-Options response header +def set_xframe(value: str): + pattern = r"^(DENY|SAMEORIGIN)$" + match = re.match(pattern, value, re.IGNORECASE) + if not match: + value = "DENY" + return {"X-Frame-Options": value} + + +# Set Referrer-Policy response header +def set_referrer(value: str): + pattern = r"^(no-referrer|no-referrer-when-downgrade|origin|origin-when-cross-origin|same-origin|strict-origin|strict-origin-when-cross-origin|unsafe-url)$" + match = re.match(pattern, value, re.IGNORECASE) + if not match: + value = "no-referrer" + return {"Referrer-Policy": value} + + +# Set Cache-Control response header +def set_cache_control(value: str): + pattern = r"^(public|private|no-cache|no-store|must-revalidate|proxy-revalidate|max-age=\d+|s-maxage=\d+|no-transform|immutable)(,\s*(public|private|no-cache|no-store|must-revalidate|proxy-revalidate|max-age=\d+|s-maxage=\d+|no-transform|immutable))*$" + match = re.match(pattern, value, re.IGNORECASE) + if not match: + value = "no-store, max-age=0" + + return {"Cache-Control": value} + + +# Set X-Download-Options response header +def set_xdownload_options(value: str): + if value != "noopen": + value = "noopen" + return {"X-Download-Options": value} + + +# Set X-Content-Type-Options response header +def set_xcontent_type(value: str): + if value != "nosniff": + value = "nosniff" + return {"X-Content-Type-Options": value} + + +# Set X-Permitted-Cross-Domain-Policies response header +def set_xpermitted_cross_domain_policies(value: str): + pattern = r"^(none|master-only|by-content-type|by-ftp-filename)$" + match = re.match(pattern, value, re.IGNORECASE) + if not match: + value = "none" + return {"X-Permitted-Cross-Domain-Policies": value} diff --git a/backend/open_webui/utils/task.py b/backend/open_webui/utils/task.py new file mode 100644 index 0000000000000000000000000000000000000000..799cca11a8b25c366f0cbb10d31f6b0a61a11701 --- /dev/null +++ b/backend/open_webui/utils/task.py @@ -0,0 +1,223 @@ +import math +import re +from datetime import datetime +from typing import Optional + + +from open_webui.utils.misc import get_last_user_message, get_messages_content + + +def prompt_template( + template: str, user_name: Optional[str] = None, user_location: Optional[str] = None +) -> str: + # Get the current date + current_date = datetime.now() + + # Format the date to YYYY-MM-DD + formatted_date = current_date.strftime("%Y-%m-%d") + formatted_time = current_date.strftime("%I:%M:%S %p") + + template = template.replace("{{CURRENT_DATE}}", formatted_date) + template = template.replace("{{CURRENT_TIME}}", formatted_time) + template = template.replace( + "{{CURRENT_DATETIME}}", f"{formatted_date} {formatted_time}" + ) + + if user_name: + # Replace {{USER_NAME}} in the template with the user's name + template = template.replace("{{USER_NAME}}", user_name) + else: + # Replace {{USER_NAME}} in the template with "Unknown" + template = template.replace("{{USER_NAME}}", "Unknown") + + if user_location: + # Replace {{USER_LOCATION}} in the template with the current location + template = template.replace("{{USER_LOCATION}}", user_location) + else: + # Replace {{USER_LOCATION}} in the template with "Unknown" + template = template.replace("{{USER_LOCATION}}", "Unknown") + + return template + + +def replace_prompt_variable(template: str, prompt: str) -> str: + def replacement_function(match): + full_match = match.group(0) + start_length = match.group(1) + end_length = match.group(2) + middle_length = match.group(3) + + if full_match == "{{prompt}}": + return prompt + elif start_length is not None: + return prompt[: int(start_length)] + elif end_length is not None: + return prompt[-int(end_length) :] + elif middle_length is not None: + middle_length = int(middle_length) + if len(prompt) <= middle_length: + return prompt + start = prompt[: math.ceil(middle_length / 2)] + end = prompt[-math.floor(middle_length / 2) :] + return f"{start}...{end}" + return "" + + template = re.sub( + r"{{prompt}}|{{prompt:start:(\d+)}}|{{prompt:end:(\d+)}}|{{prompt:middletruncate:(\d+)}}", + replacement_function, + template, + ) + return template + + +def replace_messages_variable(template: str, messages: list[str]) -> str: + def replacement_function(match): + full_match = match.group(0) + start_length = match.group(1) + end_length = match.group(2) + middle_length = match.group(3) + + # Process messages based on the number of messages required + if full_match == "{{MESSAGES}}": + return get_messages_content(messages) + elif start_length is not None: + return get_messages_content(messages[: int(start_length)]) + elif end_length is not None: + return get_messages_content(messages[-int(end_length) :]) + elif middle_length is not None: + mid = int(middle_length) + + if len(messages) <= mid: + return get_messages_content(messages) + # Handle middle truncation: split to get start and end portions of the messages list + half = mid // 2 + start_msgs = messages[:half] + end_msgs = messages[-half:] if mid % 2 == 0 else messages[-(half + 1) :] + formatted_start = get_messages_content(start_msgs) + formatted_end = get_messages_content(end_msgs) + return f"{formatted_start}\n{formatted_end}" + return "" + + template = re.sub( + r"{{MESSAGES}}|{{MESSAGES:START:(\d+)}}|{{MESSAGES:END:(\d+)}}|{{MESSAGES:MIDDLETRUNCATE:(\d+)}}", + replacement_function, + template, + ) + + return template + + +# {{prompt:middletruncate:8000}} + + +def title_generation_template( + template: str, messages: list[dict], user: Optional[dict] = None +) -> str: + prompt = get_last_user_message(messages) + template = replace_prompt_variable(template, prompt) + template = replace_messages_variable(template, messages) + + template = prompt_template( + template, + **( + {"user_name": user.get("name"), "user_location": user.get("location")} + if user + else {} + ), + ) + + return template + + +def tags_generation_template( + template: str, messages: list[dict], user: Optional[dict] = None +) -> str: + prompt = get_last_user_message(messages) + template = replace_prompt_variable(template, prompt) + template = replace_messages_variable(template, messages) + + template = prompt_template( + template, + **( + {"user_name": user.get("name"), "user_location": user.get("location")} + if user + else {} + ), + ) + return template + + +def emoji_generation_template( + template: str, prompt: str, user: Optional[dict] = None +) -> str: + template = replace_prompt_variable(template, prompt) + template = prompt_template( + template, + **( + {"user_name": user.get("name"), "user_location": user.get("location")} + if user + else {} + ), + ) + + return template + + +def search_query_generation_template( + template: str, messages: list[dict], user: Optional[dict] = None +) -> str: + prompt = get_last_user_message(messages) + template = replace_prompt_variable(template, prompt) + template = replace_messages_variable(template, messages) + + template = prompt_template( + template, + **( + {"user_name": user.get("name"), "user_location": user.get("location")} + if user + else {} + ), + ) + return template + + +def moa_response_generation_template( + template: str, prompt: str, responses: list[str] +) -> str: + def replacement_function(match): + full_match = match.group(0) + start_length = match.group(1) + end_length = match.group(2) + middle_length = match.group(3) + + if full_match == "{{prompt}}": + return prompt + elif start_length is not None: + return prompt[: int(start_length)] + elif end_length is not None: + return prompt[-int(end_length) :] + elif middle_length is not None: + middle_length = int(middle_length) + if len(prompt) <= middle_length: + return prompt + start = prompt[: math.ceil(middle_length / 2)] + end = prompt[-math.floor(middle_length / 2) :] + return f"{start}...{end}" + return "" + + template = re.sub( + r"{{prompt}}|{{prompt:start:(\d+)}}|{{prompt:end:(\d+)}}|{{prompt:middletruncate:(\d+)}}", + replacement_function, + template, + ) + + responses = [f'"""{response}"""' for response in responses] + responses = "\n\n".join(responses) + + template = template.replace("{{responses}}", responses) + return template + + +def tools_function_calling_generation_template(template: str, tools_specs: str) -> str: + template = template.replace("{{TOOLS}}", tools_specs) + return template diff --git a/backend/open_webui/utils/tools.py b/backend/open_webui/utils/tools.py new file mode 100644 index 0000000000000000000000000000000000000000..0b57eb35b63ee32185084fd917fcb93e63d4233b --- /dev/null +++ b/backend/open_webui/utils/tools.py @@ -0,0 +1,163 @@ +import inspect +import logging +from typing import Awaitable, Callable, get_type_hints + +from open_webui.apps.webui.models.tools import Tools +from open_webui.apps.webui.models.users import UserModel +from open_webui.apps.webui.utils import load_toolkit_module_by_id +from open_webui.utils.schemas import json_schema_to_model + +log = logging.getLogger(__name__) + + +def apply_extra_params_to_tool_function( + function: Callable, extra_params: dict +) -> Callable[..., Awaitable]: + sig = inspect.signature(function) + extra_params = { + key: value for key, value in extra_params.items() if key in sig.parameters + } + is_coroutine = inspect.iscoroutinefunction(function) + + async def new_function(**kwargs): + extra_kwargs = kwargs | extra_params + if is_coroutine: + return await function(**extra_kwargs) + return function(**extra_kwargs) + + return new_function + + +# Mutation on extra_params +def get_tools( + webui_app, tool_ids: list[str], user: UserModel, extra_params: dict +) -> dict[str, dict]: + tools = {} + for tool_id in tool_ids: + toolkit = Tools.get_tool_by_id(tool_id) + if toolkit is None: + continue + + module = webui_app.state.TOOLS.get(tool_id, None) + if module is None: + module, _ = load_toolkit_module_by_id(tool_id) + webui_app.state.TOOLS[tool_id] = module + + extra_params["__id__"] = tool_id + if hasattr(module, "valves") and hasattr(module, "Valves"): + valves = Tools.get_tool_valves_by_id(tool_id) or {} + module.valves = module.Valves(**valves) + + if hasattr(module, "UserValves"): + extra_params["__user__"]["valves"] = module.UserValves( # type: ignore + **Tools.get_user_valves_by_id_and_user_id(tool_id, user.id) + ) + + for spec in toolkit.specs: + # TODO: Fix hack for OpenAI API + for val in spec.get("parameters", {}).get("properties", {}).values(): + if val["type"] == "str": + val["type"] = "string" + function_name = spec["name"] + + # convert to function that takes only model params and inserts custom params + original_func = getattr(module, function_name) + callable = apply_extra_params_to_tool_function(original_func, extra_params) + if hasattr(original_func, "__doc__"): + callable.__doc__ = original_func.__doc__ + + # TODO: This needs to be a pydantic model + tool_dict = { + "toolkit_id": tool_id, + "callable": callable, + "spec": spec, + "pydantic_model": json_schema_to_model(spec), + "file_handler": hasattr(module, "file_handler") and module.file_handler, + "citation": hasattr(module, "citation") and module.citation, + } + + # TODO: if collision, prepend toolkit name + if function_name in tools: + log.warning(f"Tool {function_name} already exists in another toolkit!") + log.warning(f"Collision between {toolkit} and {tool_id}.") + log.warning(f"Discarding {toolkit}.{function_name}") + else: + tools[function_name] = tool_dict + return tools + + +def doc_to_dict(docstring): + lines = docstring.split("\n") + description = lines[1].strip() + param_dict = {} + + for line in lines: + if ":param" in line: + line = line.replace(":param", "").strip() + param, desc = line.split(":", 1) + param_dict[param.strip()] = desc.strip() + ret_dict = {"description": description, "params": param_dict} + return ret_dict + + +def get_tools_specs(tools) -> list[dict]: + function_list = [ + {"name": func, "function": getattr(tools, func)} + for func in dir(tools) + if callable(getattr(tools, func)) + and not func.startswith("__") + and not inspect.isclass(getattr(tools, func)) + ] + + specs = [] + for function_item in function_list: + function_name = function_item["name"] + function = function_item["function"] + + function_doc = doc_to_dict(function.__doc__ or function_name) + specs.append( + { + "name": function_name, + # TODO: multi-line desc? + "description": function_doc.get("description", function_name), + "parameters": { + "type": "object", + "properties": { + param_name: { + "type": param_annotation.__name__.lower(), + **( + { + "enum": ( + str(param_annotation.__args__) + if hasattr(param_annotation, "__args__") + else None + ) + } + if hasattr(param_annotation, "__args__") + else {} + ), + "description": function_doc.get("params", {}).get( + param_name, param_name + ), + } + for param_name, param_annotation in get_type_hints( + function + ).items() + if param_name != "return" + and not ( + param_name.startswith("__") and param_name.endswith("__") + ) + }, + "required": [ + name + for name, param in inspect.signature( + function + ).parameters.items() + if param.default is param.empty + and not (name.startswith("__") and name.endswith("__")) + ], + }, + } + ) + + return specs diff --git a/backend/open_webui/utils/utils.py b/backend/open_webui/utils/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..79faa1831f4926ff760aaee1369a609a5f4aa315 --- /dev/null +++ b/backend/open_webui/utils/utils.py @@ -0,0 +1,141 @@ +import logging +import uuid +from datetime import UTC, datetime, timedelta +from typing import Optional, Union + +import jwt +from open_webui.apps.webui.models.users import Users +from open_webui.constants import ERROR_MESSAGES +from open_webui.env import WEBUI_SECRET_KEY +from fastapi import Depends, HTTPException, Request, Response, status +from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer +from passlib.context import CryptContext + +logging.getLogger("passlib").setLevel(logging.ERROR) + + +SESSION_SECRET = WEBUI_SECRET_KEY +ALGORITHM = "HS256" + +############## +# Auth Utils +############## + +bearer_security = HTTPBearer(auto_error=False) +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + + +def verify_password(plain_password, hashed_password): + return ( + pwd_context.verify(plain_password, hashed_password) if hashed_password else None + ) + + +def get_password_hash(password): + return pwd_context.hash(password) + + +def create_token(data: dict, expires_delta: Union[timedelta, None] = None) -> str: + payload = data.copy() + + if expires_delta: + expire = datetime.now(UTC) + expires_delta + payload.update({"exp": expire}) + + encoded_jwt = jwt.encode(payload, SESSION_SECRET, algorithm=ALGORITHM) + return encoded_jwt + + +def decode_token(token: str) -> Optional[dict]: + try: + decoded = jwt.decode(token, SESSION_SECRET, algorithms=[ALGORITHM]) + return decoded + except Exception: + return None + + +def extract_token_from_auth_header(auth_header: str): + return auth_header[len("Bearer ") :] + + +def create_api_key(): + key = str(uuid.uuid4()).replace("-", "") + return f"sk-{key}" + + +def get_http_authorization_cred(auth_header: str): + try: + scheme, credentials = auth_header.split(" ") + return HTTPAuthorizationCredentials(scheme=scheme, credentials=credentials) + except Exception: + raise ValueError(ERROR_MESSAGES.INVALID_TOKEN) + + +def get_current_user( + request: Request, + auth_token: HTTPAuthorizationCredentials = Depends(bearer_security), +): + token = None + + if auth_token is not None: + token = auth_token.credentials + + if token is None and "token" in request.cookies: + token = request.cookies.get("token") + + if token is None: + raise HTTPException(status_code=403, detail="Not authenticated") + + # auth by api key + if token.startswith("sk-"): + return get_current_user_by_api_key(token) + + # auth by jwt token + data = decode_token(token) + if data is not None and "id" in data: + user = Users.get_user_by_id(data["id"]) + if user is None: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.INVALID_TOKEN, + ) + else: + Users.update_user_last_active_by_id(user.id) + return user + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.UNAUTHORIZED, + ) + + +def get_current_user_by_api_key(api_key: str): + user = Users.get_user_by_api_key(api_key) + + if user is None: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.INVALID_TOKEN, + ) + else: + Users.update_user_last_active_by_id(user.id) + + return user + + +def get_verified_user(user=Depends(get_current_user)): + if user.role not in {"user", "admin"}: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + return user + + +def get_admin_user(user=Depends(get_current_user)): + if user.role != "admin": + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail=ERROR_MESSAGES.ACCESS_PROHIBITED, + ) + return user diff --git a/backend/open_webui/utils/webhook.py b/backend/open_webui/utils/webhook.py new file mode 100644 index 0000000000000000000000000000000000000000..234209884fd9e9e1da544ae19cd0cc97db36ef61 --- /dev/null +++ b/backend/open_webui/utils/webhook.py @@ -0,0 +1,55 @@ +import json +import logging + +import requests +from open_webui.config import WEBUI_FAVICON_URL, WEBUI_NAME +from open_webui.env import SRC_LOG_LEVELS, VERSION + +log = logging.getLogger(__name__) +log.setLevel(SRC_LOG_LEVELS["WEBHOOK"]) + + +def post_webhook(url: str, message: str, event_data: dict) -> bool: + try: + payload = {} + + # Slack and Google Chat Webhooks + if "https://hooks.slack.com" in url or "https://chat.googleapis.com" in url: + payload["text"] = message + # Discord Webhooks + elif "https://discord.com/api/webhooks" in url: + payload["content"] = message + # Microsoft Teams Webhooks + elif "webhook.office.com" in url: + action = event_data.get("action", "undefined") + facts = [ + {"name": name, "value": value} + for name, value in json.loads(event_data.get("user", {})).items() + ] + payload = { + "@type": "MessageCard", + "@context": "http://schema.org/extensions", + "themeColor": "0076D7", + "summary": message, + "sections": [ + { + "activityTitle": message, + "activitySubtitle": f"{WEBUI_NAME} ({VERSION}) - {action}", + "activityImage": WEBUI_FAVICON_URL, + "facts": facts, + "markdown": True, + } + ], + } + # Default Payload + else: + payload = {**event_data} + + log.debug(f"payload: {payload}") + r = requests.post(url, json=payload) + r.raise_for_status() + log.debug(f"r.text: {r.text}") + return True + except Exception as e: + log.exception(e) + return False diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..561f291cb556deeb5315d786c0a8fb0dba085aad --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,94 @@ +fastapi==0.111.0 +uvicorn[standard]==0.30.6 +pydantic==2.9.2 +python-multipart==0.0.9 + +Flask==3.0.3 +Flask-Cors==5.0.0 + +python-socketio==5.11.3 +python-jose==3.3.0 +passlib[bcrypt]==1.7.4 + +requests==2.32.3 +aiohttp==3.10.8 +async-timeout + +sqlalchemy==2.0.32 +alembic==1.13.2 +peewee==3.17.6 +peewee-migrate==1.12.2 +psycopg2-binary==2.9.9 +PyMySQL==1.1.1 +bcrypt==4.2.0 + +pymongo +redis +boto3==1.35.0 + +argon2-cffi==23.1.0 +APScheduler==3.10.4 + +# AI libraries +openai +anthropic +google-generativeai==0.7.2 +tiktoken + +langchain==0.2.15 +langchain-community==0.2.12 +langchain-chroma==0.1.4 + +fake-useragent==1.5.1 +chromadb==0.5.9 +pymilvus==2.4.7 +qdrant-client~=1.12.0 + +sentence-transformers==3.2.0 +colbert-ai==0.2.21 +einops==0.8.0 + + +ftfy==6.2.3 +pypdf==4.3.1 +xhtml2pdf==0.2.16 +pymdown-extensions==10.11.2 +docx2txt==0.8 +python-pptx==1.0.0 +unstructured==0.15.9 +nltk==3.9.1 +Markdown==3.7 +pypandoc==1.13 +pandas==2.2.3 +openpyxl==3.1.5 +pyxlsb==1.0.10 +xlrd==2.0.1 +validators==0.33.0 +psutil + +opencv-python-headless==4.10.0.84 +rapidocr-onnxruntime==1.3.24 + +fpdf2==2.7.9 +rank-bm25==0.2.2 + +faster-whisper==1.0.3 + +PyJWT[crypto]==2.9.0 +authlib==1.3.2 + +black==24.8.0 +langfuse==2.44.0 +youtube-transcript-api==0.6.2 +pytube==15.0.0 + +extract_msg +pydub +duckduckgo-search~=6.2.13 + +## Tests +docker~=7.1.0 +pytest~=8.3.2 +pytest-docker~=3.1.1 + +googleapis-common-protos==1.63.2 diff --git a/backend/start.sh b/backend/start.sh new file mode 100755 index 0000000000000000000000000000000000000000..a945acb62e931cf1e0643d7bdcb5a414b4d71704 --- /dev/null +++ b/backend/start.sh @@ -0,0 +1,57 @@ +#!/usr/bin/env bash + +SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) +cd "$SCRIPT_DIR" || exit + +KEY_FILE=.webui_secret_key + +PORT="${PORT:-8080}" +HOST="${HOST:-0.0.0.0}" +if test "$WEBUI_SECRET_KEY $WEBUI_JWT_SECRET_KEY" = " "; then + echo "Loading WEBUI_SECRET_KEY from file, not provided as an environment variable." + + if ! [ -e "$KEY_FILE" ]; then + echo "Generating WEBUI_SECRET_KEY" + # Generate a random value to use as a WEBUI_SECRET_KEY in case the user didn't provide one. + echo $(head -c 12 /dev/random | base64) > "$KEY_FILE" + fi + + echo "Loading WEBUI_SECRET_KEY from $KEY_FILE" + WEBUI_SECRET_KEY=$(cat "$KEY_FILE") +fi + +if [[ "${USE_OLLAMA_DOCKER,,}" == "true" ]]; then + echo "USE_OLLAMA is set to true, starting ollama serve." + ollama serve & +fi + +if [[ "${USE_CUDA_DOCKER,,}" == "true" ]]; then + echo "CUDA is enabled, appending LD_LIBRARY_PATH to include torch/cudnn & cublas libraries." + export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/lib/python3.11/site-packages/torch/lib:/usr/local/lib/python3.11/site-packages/nvidia/cudnn/lib" +fi + +# Check if SPACE_ID is set, if so, configure for space +if [ -n "$SPACE_ID" ]; then + echo "Configuring for HuggingFace Space deployment" + if [ -n "$ADMIN_USER_EMAIL" ] && [ -n "$ADMIN_USER_PASSWORD" ]; then + echo "Admin user configured, creating" + WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" uvicorn open_webui.main:app --host "$HOST" --port "$PORT" --forwarded-allow-ips '*' & + webui_pid=$! + echo "Waiting for webui to start..." + while ! curl -s http://localhost:8080/health > /dev/null; do + sleep 1 + done + echo "Creating admin user..." + curl \ + -X POST "http://localhost:8080/api/v1/auths/signup" \ + -H "accept: application/json" \ + -H "Content-Type: application/json" \ + -d "{ \"email\": \"${ADMIN_USER_EMAIL}\", \"password\": \"${ADMIN_USER_PASSWORD}\", \"name\": \"Admin\" }" + echo "Shutting down webui..." + kill $webui_pid + fi + + export WEBUI_URL=${SPACE_HOST} +fi + +WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" exec uvicorn open_webui.main:app --host "$HOST" --port "$PORT" --forwarded-allow-ips '*' diff --git a/backend/start_windows.bat b/backend/start_windows.bat new file mode 100644 index 0000000000000000000000000000000000000000..3e8c6b97c42d1c0d7d611a61f50b140173cea477 --- /dev/null +++ b/backend/start_windows.bat @@ -0,0 +1,33 @@ +:: This method is not recommended, and we recommend you use the `start.sh` file with WSL instead. +@echo off +SETLOCAL ENABLEDELAYEDEXPANSION + +:: Get the directory of the current script +SET "SCRIPT_DIR=%~dp0" +cd /d "%SCRIPT_DIR%" || exit /b + +SET "KEY_FILE=.webui_secret_key" +IF "%PORT%"=="" SET PORT=8080 +IF "%HOST%"=="" SET HOST=0.0.0.0 +SET "WEBUI_SECRET_KEY=%WEBUI_SECRET_KEY%" +SET "WEBUI_JWT_SECRET_KEY=%WEBUI_JWT_SECRET_KEY%" + +:: Check if WEBUI_SECRET_KEY and WEBUI_JWT_SECRET_KEY are not set +IF "%WEBUI_SECRET_KEY%%WEBUI_JWT_SECRET_KEY%" == " " ( + echo Loading WEBUI_SECRET_KEY from file, not provided as an environment variable. + + IF NOT EXIST "%KEY_FILE%" ( + echo Generating WEBUI_SECRET_KEY + :: Generate a random value to use as a WEBUI_SECRET_KEY in case the user didn't provide one + SET /p WEBUI_SECRET_KEY=>%KEY_FILE% + echo WEBUI_SECRET_KEY generated + ) + + echo Loading WEBUI_SECRET_KEY from %KEY_FILE% + SET /p WEBUI_SECRET_KEY=<%KEY_FILE% +) + +:: Execute uvicorn +SET "WEBUI_SECRET_KEY=%WEBUI_SECRET_KEY%" +uvicorn open_webui.main:app --host "%HOST%" --port "%PORT%" --forwarded-allow-ips '*' diff --git a/confirm_remove.sh b/confirm_remove.sh new file mode 100755 index 0000000000000000000000000000000000000000..051908e6de668bc47b3edd5b79b70d65094823a2 --- /dev/null +++ b/confirm_remove.sh @@ -0,0 +1,13 @@ +#!/bin/bash +echo "Warning: This will remove all containers and volumes, including persistent data. Do you want to continue? [Y/N]" +read ans +if [ "$ans" == "Y" ] || [ "$ans" == "y" ]; then + command docker-compose 2>/dev/null + if [ "$?" == "0" ]; then + docker-compose down -v + else + docker compose down -v + fi +else + echo "Operation cancelled." +fi diff --git a/cypress.config.ts b/cypress.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..dbb538233809b1c26de4c0d33ae45e0c30405c2a --- /dev/null +++ b/cypress.config.ts @@ -0,0 +1,8 @@ +import { defineConfig } from 'cypress'; + +export default defineConfig({ + e2e: { + baseUrl: 'http://localhost:8080' + }, + video: true +}); diff --git a/cypress/data/example-doc.txt b/cypress/data/example-doc.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4f6f455ed18711baf9ddb8ae814538ea7076e8d --- /dev/null +++ b/cypress/data/example-doc.txt @@ -0,0 +1,9 @@ +Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Pellentesque elit eget gravida cum sociis natoque. Morbi tristique senectus et netus et malesuada. Sapien nec sagittis aliquam malesuada bibendum. Amet consectetur adipiscing elit duis tristique sollicitudin. Non pulvinar neque laoreet suspendisse interdum consectetur libero. Arcu cursus vitae congue mauris rhoncus aenean vel elit scelerisque. Nec feugiat nisl pretium fusce id velit. Imperdiet proin fermentum leo vel. Arcu dui vivamus arcu felis bibendum ut tristique et egestas. Pellentesque sit amet porttitor eget dolor morbi non arcu risus. Egestas tellus rutrum tellus pellentesque eu tincidunt tortor aliquam. Et ultrices neque ornare aenean euismod. + +Enim nulla aliquet porttitor lacus luctus accumsan tortor posuere ac. Viverra nibh cras pulvinar mattis nunc. Lacinia at quis risus sed vulputate. Ac tortor vitae purus faucibus ornare suspendisse sed nisi lacus. Bibendum arcu vitae elementum curabitur vitae nunc. Consectetur adipiscing elit duis tristique sollicitudin nibh sit amet commodo. Velit egestas dui id ornare arcu odio ut. Et malesuada fames ac turpis egestas integer eget aliquet. Lacus suspendisse faucibus interdum posuere lorem ipsum dolor sit. Morbi tristique senectus et netus. Pretium viverra suspendisse potenti nullam ac tortor vitae. Parturient montes nascetur ridiculus mus mauris vitae. Quis viverra nibh cras pulvinar mattis nunc sed blandit libero. Euismod nisi porta lorem mollis aliquam ut porttitor leo. Mauris in aliquam sem fringilla ut morbi. Faucibus pulvinar elementum integer enim neque. Neque sodales ut etiam sit. Consectetur a erat nam at. + +Sed nisi lacus sed viverra tellus in hac habitasse. Proin sagittis nisl rhoncus mattis rhoncus. Risus commodo viverra maecenas accumsan lacus. Morbi quis commodo odio aenean sed adipiscing. Mollis nunc sed id semper risus in. Ultricies mi eget mauris pharetra et ultrices neque. Amet luctus venenatis lectus magna fringilla urna porttitor rhoncus. Eget magna fermentum iaculis eu non diam phasellus. Id diam maecenas ultricies mi eget mauris pharetra et ultrices. Id donec ultrices tincidunt arcu non sodales. Sed cras ornare arcu dui vivamus arcu felis bibendum ut. Urna duis convallis convallis tellus id interdum velit. Rhoncus mattis rhoncus urna neque viverra justo nec. Purus semper eget duis at tellus at urna condimentum. Et odio pellentesque diam volutpat commodo sed egestas. Blandit volutpat maecenas volutpat blandit. In egestas erat imperdiet sed euismod nisi porta lorem mollis. Est ullamcorper eget nulla facilisi etiam dignissim. + +Justo nec ultrices dui sapien eget mi proin sed. Purus gravida quis blandit turpis cursus in hac. Placerat orci nulla pellentesque dignissim enim sit. Morbi tristique senectus et netus et malesuada fames ac. Consequat mauris nunc congue nisi. Eu lobortis elementum nibh tellus molestie nunc non blandit. Viverra justo nec ultrices dui. Morbi non arcu risus quis. Elementum sagittis vitae et leo duis. Lectus mauris ultrices eros in cursus. Neque laoreet suspendisse interdum consectetur. + +Facilisis gravida neque convallis a cras. Nisl rhoncus mattis rhoncus urna neque viverra justo. Faucibus purus in massa tempor. Lacus laoreet non curabitur gravida arcu ac tortor. Tincidunt eget nullam non nisi est sit amet. Ornare lectus sit amet est placerat in egestas. Sollicitudin tempor id eu nisl nunc mi. Scelerisque viverra mauris in aliquam sem fringilla ut. Ullamcorper sit amet risus nullam. Mauris rhoncus aenean vel elit scelerisque mauris pellentesque pulvinar. Velit euismod in pellentesque massa placerat duis ultricies lacus. Pharetra magna ac placerat vestibulum lectus mauris ultrices eros in. Lorem ipsum dolor sit amet. Sit amet mauris commodo quis imperdiet. Quam pellentesque nec nam aliquam sem et tortor. Amet nisl purus in mollis nunc. Sed risus pretium quam vulputate dignissim suspendisse in est. Nisl condimentum id venenatis a condimentum. Velit euismod in pellentesque massa. Quam id leo in vitae turpis massa sed. diff --git a/cypress/e2e/chat.cy.ts b/cypress/e2e/chat.cy.ts new file mode 100644 index 0000000000000000000000000000000000000000..17c4d8e735239d8289629bb5056946d9797dd701 --- /dev/null +++ b/cypress/e2e/chat.cy.ts @@ -0,0 +1,106 @@ +// eslint-disable-next-line @typescript-eslint/triple-slash-reference +/// + +// These tests run through the chat flow. +describe('Settings', () => { + // Wait for 2 seconds after all tests to fix an issue with Cypress's video recording missing the last few frames + after(() => { + // eslint-disable-next-line cypress/no-unnecessary-waiting + cy.wait(2000); + }); + + beforeEach(() => { + // Login as the admin user + cy.loginAdmin(); + // Visit the home page + cy.visit('/'); + }); + + context('Ollama', () => { + it('user can select a model', () => { + // Click on the model selector + cy.get('button[aria-label="Select a model"]').click(); + // Select the first model + cy.get('button[aria-label="model-item"]').first().click(); + }); + + it('user can perform text chat', () => { + // Click on the model selector + cy.get('button[aria-label="Select a model"]').click(); + // Select the first model + cy.get('button[aria-label="model-item"]').first().click(); + // Type a message + cy.get('#chat-input').type('Hi, what can you do? A single sentence only please.', { + force: true + }); + // Send the message + cy.get('button[type="submit"]').click(); + // User's message should be visible + cy.get('.chat-user').should('exist'); + // Wait for the response + // .chat-assistant is created after the first token is received + cy.get('.chat-assistant', { timeout: 10_000 }).should('exist'); + // Generation Info is created after the stop token is received + cy.get('div[aria-label="Generation Info"]', { timeout: 120_000 }).should('exist'); + }); + + it('user can share chat', () => { + // Click on the model selector + cy.get('button[aria-label="Select a model"]').click(); + // Select the first model + cy.get('button[aria-label="model-item"]').first().click(); + // Type a message + cy.get('#chat-input').type('Hi, what can you do? A single sentence only please.', { + force: true + }); + // Send the message + cy.get('button[type="submit"]').click(); + // User's message should be visible + cy.get('.chat-user').should('exist'); + // Wait for the response + // .chat-assistant is created after the first token is received + cy.get('.chat-assistant', { timeout: 10_000 }).should('exist'); + // Generation Info is created after the stop token is received + cy.get('div[aria-label="Generation Info"]', { timeout: 120_000 }).should('exist'); + // spy on requests + const spy = cy.spy(); + cy.intercept('POST', '/api/v1/chats/**/share', spy); + // Open context menu + cy.get('#chat-context-menu-button').click(); + // Click share button + cy.get('#chat-share-button').click(); + // Check if the share dialog is visible + cy.get('#copy-and-share-chat-button').should('exist'); + // Click the copy button + cy.get('#copy-and-share-chat-button').click(); + cy.wrap({}, { timeout: 5_000 }).should(() => { + // Check if the share request was made + expect(spy).to.be.callCount(1); + }); + }); + + it('user can generate image', () => { + // Click on the model selector + cy.get('button[aria-label="Select a model"]').click(); + // Select the first model + cy.get('button[aria-label="model-item"]').first().click(); + // Type a message + cy.get('#chat-input').type('Hi, what can you do? A single sentence only please.', { + force: true + }); + // Send the message + cy.get('button[type="submit"]').click(); + // User's message should be visible + cy.get('.chat-user').should('exist'); + // Wait for the response + // .chat-assistant is created after the first token is received + cy.get('.chat-assistant', { timeout: 10_000 }).should('exist'); + // Generation Info is created after the stop token is received + cy.get('div[aria-label="Generation Info"]', { timeout: 120_000 }).should('exist'); + // Click on the generate image button + cy.get('[aria-label="Generate Image"]').click(); + // Wait for image to be visible + cy.get('img[data-cy="image"]', { timeout: 60_000 }).should('be.visible'); + }); + }); +}); diff --git a/cypress/e2e/documents.cy.ts b/cypress/e2e/documents.cy.ts new file mode 100644 index 0000000000000000000000000000000000000000..b14b1de20c916d4b1303a8d304c5abc334e949ea --- /dev/null +++ b/cypress/e2e/documents.cy.ts @@ -0,0 +1,2 @@ +// eslint-disable-next-line @typescript-eslint/triple-slash-reference +/// diff --git a/cypress/e2e/registration.cy.ts b/cypress/e2e/registration.cy.ts new file mode 100644 index 0000000000000000000000000000000000000000..232d75e882a93870f318f96f98ffd56efbc4bd8f --- /dev/null +++ b/cypress/e2e/registration.cy.ts @@ -0,0 +1,52 @@ +// eslint-disable-next-line @typescript-eslint/triple-slash-reference +/// +import { adminUser } from '../support/e2e'; + +// These tests assume the following defaults: +// 1. No users exist in the database or that the test admin user is an admin +// 2. Language is set to English +// 3. The default role for new users is 'pending' +describe('Registration and Login', () => { + // Wait for 2 seconds after all tests to fix an issue with Cypress's video recording missing the last few frames + after(() => { + // eslint-disable-next-line cypress/no-unnecessary-waiting + cy.wait(2000); + }); + + beforeEach(() => { + cy.visit('/'); + }); + + it('should register a new user as pending', () => { + const userName = `Test User - ${Date.now()}`; + const userEmail = `cypress-${Date.now()}@example.com`; + // Toggle from sign in to sign up + cy.contains('Sign up').click(); + // Fill out the form + cy.get('input[autocomplete="name"]').type(userName); + cy.get('input[autocomplete="email"]').type(userEmail); + cy.get('input[type="password"]').type('password'); + // Submit the form + cy.get('button[type="submit"]').click(); + // Wait until the user is redirected to the home page + cy.contains(userName); + // Expect the user to be pending + cy.contains('Check Again'); + }); + + it('can login with the admin user', () => { + // Fill out the form + cy.get('input[autocomplete="email"]').type(adminUser.email); + cy.get('input[type="password"]').type(adminUser.password); + // Submit the form + cy.get('button[type="submit"]').click(); + // Wait until the user is redirected to the home page + cy.contains(adminUser.name); + // Dismiss the changelog dialog if it is visible + cy.getAllLocalStorage().then((ls) => { + if (!ls['version']) { + cy.get('button').contains("Okay, Let's Go!").click(); + } + }); + }); +}); diff --git a/cypress/e2e/settings.cy.ts b/cypress/e2e/settings.cy.ts new file mode 100644 index 0000000000000000000000000000000000000000..4ea91698072fd25cb75a6961ac3d9f0652c303da --- /dev/null +++ b/cypress/e2e/settings.cy.ts @@ -0,0 +1,63 @@ +// eslint-disable-next-line @typescript-eslint/triple-slash-reference +/// +import { adminUser } from '../support/e2e'; + +// These tests run through the various settings pages, ensuring that the user can interact with them as expected +describe('Settings', () => { + // Wait for 2 seconds after all tests to fix an issue with Cypress's video recording missing the last few frames + after(() => { + // eslint-disable-next-line cypress/no-unnecessary-waiting + cy.wait(2000); + }); + + beforeEach(() => { + // Login as the admin user + cy.loginAdmin(); + // Visit the home page + cy.visit('/'); + // Click on the user menu + cy.get('button[aria-label="User Menu"]').click(); + // Click on the settings link + cy.get('button').contains('Settings').click(); + }); + + context('General', () => { + it('user can open the General modal and hit save', () => { + cy.get('button').contains('General').click(); + cy.get('button').contains('Save').click(); + }); + }); + + context('Interface', () => { + it('user can open the Interface modal and hit save', () => { + cy.get('button').contains('Interface').click(); + cy.get('button').contains('Save').click(); + }); + }); + + context('Audio', () => { + it('user can open the Audio modal and hit save', () => { + cy.get('button').contains('Audio').click(); + cy.get('button').contains('Save').click(); + }); + }); + + context('Chats', () => { + it('user can open the Chats modal', () => { + cy.get('button').contains('Chats').click(); + }); + }); + + context('Account', () => { + it('user can open the Account modal and hit save', () => { + cy.get('button').contains('Account').click(); + cy.get('button').contains('Save').click(); + }); + }); + + context('About', () => { + it('user can open the About modal', () => { + cy.get('button').contains('About').click(); + }); + }); +}); diff --git a/cypress/support/e2e.ts b/cypress/support/e2e.ts new file mode 100644 index 0000000000000000000000000000000000000000..0b94c47872c87b7ac9aa4ed9752cf46a3ec51c8f --- /dev/null +++ b/cypress/support/e2e.ts @@ -0,0 +1,78 @@ +/// +// eslint-disable-next-line @typescript-eslint/triple-slash-reference +/// + +export const adminUser = { + name: 'Admin User', + email: 'admin@example.com', + password: 'password' +}; + +const login = (email: string, password: string) => { + return cy.session( + email, + () => { + // Make sure to test against us english to have stable tests, + // regardless on local language preferences + localStorage.setItem('locale', 'en-US'); + // Visit auth page + cy.visit('/auth'); + // Fill out the form + cy.get('input[autocomplete="email"]').type(email); + cy.get('input[type="password"]').type(password); + // Submit the form + cy.get('button[type="submit"]').click(); + // Wait until the user is redirected to the home page + cy.get('#chat-search').should('exist'); + // Get the current version to skip the changelog dialog + if (localStorage.getItem('version') === null) { + cy.get('button').contains("Okay, Let's Go!").click(); + } + }, + { + validate: () => { + cy.request({ + method: 'GET', + url: '/api/v1/auths/', + headers: { + Authorization: 'Bearer ' + localStorage.getItem('token') + } + }); + } + } + ); +}; + +const register = (name: string, email: string, password: string) => { + return cy + .request({ + method: 'POST', + url: '/api/v1/auths/signup', + body: { + name: name, + email: email, + password: password + }, + failOnStatusCode: false + }) + .then((response) => { + expect(response.status).to.be.oneOf([200, 400]); + }); +}; + +const registerAdmin = () => { + return register(adminUser.name, adminUser.email, adminUser.password); +}; + +const loginAdmin = () => { + return login(adminUser.email, adminUser.password); +}; + +Cypress.Commands.add('login', (email, password) => login(email, password)); +Cypress.Commands.add('register', (name, email, password) => register(name, email, password)); +Cypress.Commands.add('registerAdmin', () => registerAdmin()); +Cypress.Commands.add('loginAdmin', () => loginAdmin()); + +before(() => { + cy.registerAdmin(); +}); diff --git a/cypress/support/index.d.ts b/cypress/support/index.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..647db92115a3c6ee9e5b35b90b585a2a0a837306 --- /dev/null +++ b/cypress/support/index.d.ts @@ -0,0 +1,13 @@ +// load the global Cypress types +/// + +declare namespace Cypress { + interface Chainable { + login(email: string, password: string): Chainable; + register(name: string, email: string, password: string): Chainable; + registerAdmin(): Chainable; + loginAdmin(): Chainable; + uploadTestDocument(suffix: any): Chainable; + deleteTestDocument(suffix: any): Chainable; + } +} diff --git a/cypress/tsconfig.json b/cypress/tsconfig.json new file mode 100644 index 0000000000000000000000000000000000000000..ff28d946496fa69c603c0ec9287317a7dcc83279 --- /dev/null +++ b/cypress/tsconfig.json @@ -0,0 +1,7 @@ +{ + "extends": "../tsconfig.json", + "compilerOptions": { + "inlineSourceMap": true, + "sourceMap": false + } +} diff --git a/docker-compose.a1111-test.yaml b/docker-compose.a1111-test.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e6ab12c07f0995369107943d0b23a68ebac607b3 --- /dev/null +++ b/docker-compose.a1111-test.yaml @@ -0,0 +1,31 @@ +# This is an overlay that spins up stable-diffusion-webui for integration testing +# This is not designed to be used in production +services: + stable-diffusion-webui: + # Not built for ARM64 + platform: linux/amd64 + image: ghcr.io/neggles/sd-webui-docker:latest + restart: unless-stopped + environment: + CLI_ARGS: "--api --use-cpu all --precision full --no-half --skip-torch-cuda-test --ckpt /empty.pt --do-not-download-clip --disable-nan-check --disable-opt-split-attention" + PYTHONUNBUFFERED: "1" + TERM: "vt100" + SD_WEBUI_VARIANT: "default" + # Hack to get container working on Apple Silicon + # Rosetta creates a conflict ${HOME}/.cache folder + entrypoint: /bin/bash + command: + - -c + - | + export HOME=/root-home + rm -rf $${HOME}/.cache + /docker/entrypoint.sh python -u webui.py --listen --port $${WEBUI_PORT} --skip-version-check $${CLI_ARGS} + volumes: + - ./test/test_files/image_gen/sd-empty.pt:/empty.pt + + open-webui: + environment: + ENABLE_IMAGE_GENERATION: "true" + AUTOMATIC1111_BASE_URL: http://stable-diffusion-webui:7860 + IMAGE_SIZE: "64x64" + IMAGE_STEPS: "3" diff --git a/docker-compose.amdgpu.yaml b/docker-compose.amdgpu.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7a1295d94515c6f32a9c11d913ce603a989f504a --- /dev/null +++ b/docker-compose.amdgpu.yaml @@ -0,0 +1,8 @@ +services: + ollama: + devices: + - /dev/kfd:/dev/kfd + - /dev/dri:/dev/dri + image: ollama/ollama:${OLLAMA_DOCKER_TAG-rocm} + environment: + - 'HSA_OVERRIDE_GFX_VERSION=${HSA_OVERRIDE_GFX_VERSION-11.0.0}' \ No newline at end of file diff --git a/docker-compose.api.yaml b/docker-compose.api.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8f8fbe59ad03274ef4f6a414cc9333290588e0aa --- /dev/null +++ b/docker-compose.api.yaml @@ -0,0 +1,5 @@ +services: + ollama: + # Expose Ollama API outside the container stack + ports: + - ${OLLAMA_WEBAPI_PORT-11434}:11434 diff --git a/docker-compose.data.yaml b/docker-compose.data.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4b70601f894a1ad3530cc25ea616a3a5ddb691a6 --- /dev/null +++ b/docker-compose.data.yaml @@ -0,0 +1,4 @@ +services: + ollama: + volumes: + - ${OLLAMA_DATA_DIR-./ollama-data}:/root/.ollama diff --git a/docker-compose.gpu.yaml b/docker-compose.gpu.yaml new file mode 100644 index 0000000000000000000000000000000000000000..de821235da42f5e116315f7407d2c6de0451c99c --- /dev/null +++ b/docker-compose.gpu.yaml @@ -0,0 +1,11 @@ +services: + ollama: + # GPU support + deploy: + resources: + reservations: + devices: + - driver: ${OLLAMA_GPU_DRIVER-nvidia} + count: ${OLLAMA_GPU_COUNT-1} + capabilities: + - gpu diff --git a/docker-compose.yaml b/docker-compose.yaml new file mode 100644 index 0000000000000000000000000000000000000000..74249febd9e37e2166fa6c07a73770812e745b7d --- /dev/null +++ b/docker-compose.yaml @@ -0,0 +1,34 @@ +services: + ollama: + volumes: + - ollama:/root/.ollama + container_name: ollama + pull_policy: always + tty: true + restart: unless-stopped + image: ollama/ollama:${OLLAMA_DOCKER_TAG-latest} + + open-webui: + build: + context: . + args: + OLLAMA_BASE_URL: '/ollama' + dockerfile: Dockerfile + image: ghcr.io/open-webui/open-webui:${WEBUI_DOCKER_TAG-main} + container_name: open-webui + volumes: + - open-webui:/app/backend/data + depends_on: + - ollama + ports: + - ${OPEN_WEBUI_PORT-3000}:8080 + environment: + - 'OLLAMA_BASE_URL=http://ollama:11434' + - 'WEBUI_SECRET_KEY=' + extra_hosts: + - host.docker.internal:host-gateway + restart: unless-stopped + +volumes: + ollama: {} + open-webui: {} diff --git a/docs/CONTRIBUTING.md b/docs/CONTRIBUTING.md new file mode 100644 index 0000000000000000000000000000000000000000..ec8a79bbcea4ed9b62faa312e1ca6041b4426f3c --- /dev/null +++ b/docs/CONTRIBUTING.md @@ -0,0 +1,73 @@ +# Contributing to Open WebUI + +🚀 **Welcome, Contributors!** 🚀 + +Your interest in contributing to Open WebUI is greatly appreciated. This document is here to guide you through the process, ensuring your contributions enhance the project effectively. Let's make Open WebUI even better, together! + +## 📌 Key Points + +### 🦙 Ollama vs. Open WebUI + +It's crucial to distinguish between Ollama and Open WebUI: + +- **Open WebUI** focuses on providing an intuitive and responsive web interface for chat interactions. +- **Ollama** is the underlying technology that powers these interactions. + +If your issue or contribution pertains directly to the core Ollama technology, please direct it to the appropriate [Ollama project repository](https://ollama.com/). Open WebUI's repository is dedicated to the web interface aspect only. + +### 🚨 Reporting Issues + +Noticed something off? Have an idea? Check our [Issues tab](https://github.com/open-webui/open-webui/issues) to see if it's already been reported or suggested. If not, feel free to open a new issue. When reporting an issue, please follow our issue templates. These templates are designed to ensure that all necessary details are provided from the start, enabling us to address your concerns more efficiently. + +> [!IMPORTANT] +> +> - **Template Compliance:** Please be aware that failure to follow the provided issue template, or not providing the requested information at all, will likely result in your issue being closed without further consideration. This approach is critical for maintaining the manageability and integrity of issue tracking. +> - **Detail is Key:** To ensure your issue is understood and can be effectively addressed, it's imperative to include comprehensive details. Descriptions should be clear, including steps to reproduce, expected outcomes, and actual results. Lack of sufficient detail may hinder our ability to resolve your issue. + +### 🧭 Scope of Support + +We've noticed an uptick in issues not directly related to Open WebUI but rather to the environment it's run in, especially Docker setups. While we strive to support Docker deployment, understanding Docker fundamentals is crucial for a smooth experience. + +- **Docker Deployment Support**: Open WebUI supports Docker deployment. Familiarity with Docker is assumed. For Docker basics, please refer to the [official Docker documentation](https://docs.docker.com/get-started/overview/). + +- **Advanced Configurations**: Setting up reverse proxies for HTTPS and managing Docker deployments requires foundational knowledge. There are numerous online resources available to learn these skills. Ensuring you have this knowledge will greatly enhance your experience with Open WebUI and similar projects. + +## 💡 Contributing + +Looking to contribute? Great! Here's how you can help: + +### 🛠 Pull Requests + +We welcome pull requests. Before submitting one, please: + +1. Open a discussion regarding your ideas [here](https://github.com/open-webui/open-webui/discussions/new/choose). +2. Follow the project's coding standards and include tests for new features. +3. Update documentation as necessary. +4. Write clear, descriptive commit messages. +5. It's essential to complete your pull request in a timely manner. We move fast, and having PRs hang around too long is not feasible. If you can't get it done within a reasonable time frame, we may have to close it to keep the project moving forward. + +### 📚 Documentation & Tutorials + +Help us make Open WebUI more accessible by improving documentation, writing tutorials, or creating guides on setting up and optimizing the web UI. + +### 🌐 Translations and Internationalization + +Help us make Open WebUI available to a wider audience. In this section, we'll guide you through the process of adding new translations to the project. + +We use JSON files to store translations. You can find the existing translation files in the `src/lib/i18n/locales` directory. Each directory corresponds to a specific language, for example, `en-US` for English (US), `fr-FR` for French (France) and so on. You can refer to [ISO 639 Language Codes](http://www.lingoes.net/en/translator/langcode.htm) to find the appropriate code for a specific language. + +To add a new language: + +- Create a new directory in the `src/lib/i18n/locales` path with the appropriate language code as its name. For instance, if you're adding translations for Spanish (Spain), create a new directory named `es-ES`. +- Copy the American English translation file(s) (from `en-US` directory in `src/lib/i18n/locale`) to this new directory and update the string values in JSON format according to your language. Make sure to preserve the structure of the JSON object. +- Add the language code and its respective title to languages file at `src/lib/i18n/locales/languages.json`. + +### 🤔 Questions & Feedback + +Got questions or feedback? Join our [Discord community](https://discord.gg/5rJgQTnV4s) or open an issue. We're here to help! + +## 🙏 Thank You! + +Your contributions, big or small, make a significant impact on Open WebUI. We're excited to see what you bring to the project! + +Together, let's create an even more powerful tool for the community. 🌟 diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4113c35a78f9d9c7d3096cf851f76f495421fc51 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,3 @@ +# Project workflow + +[![](https://mermaid.ink/img/pako:eNq1k01rAjEQhv_KkFNLFe1N9iAUevFSRVl6Cci4Gd1ANtlmsmtF_O_N7iqtHxR76ClhMu87zwyZvcicIpEIpo-KbEavGjceC2lL9EFnukQbIGXygNye5y9TY7DAZTpZLsjXXVYXg3dapRM4hh9mu5A7-3hTfSXtAtJK21Tsj8dPl3USmJZkGVbebWNKD2rNOjAYl6HJHYdkNBwNpb3U9aNZvzFNYE6h8tFiSyZzBUGJG4K1dwVwTSYQrCptlLRvLt5dA5i2la5Ruk51Ux0VKQjuxPVbAwuyiuFlNgHfzJ5DoxtgqQf1813gnZRLZ5lAYcD7WT1lpGtiQKug9C4jZrrp-Fd-1-Y1bdzo4dvnZDLz7lPHyj8sOgfg4x84E7RTuEaZt8yRZqtDfgT_rwG2u3Dv_ERPFOQL1Cqu2F5aAClCTgVJkcSrojVWJkgh7SGmYhXcYmczkQRfUU9UZfQ4baRI1miYDl_QqlPg?type=png)](https://mermaid.live/edit#pako:eNq1k01rAjEQhv_KkFNLFe1N9iAUevFSRVl6Cci4Gd1ANtlmsmtF_O_N7iqtHxR76ClhMu87zwyZvcicIpEIpo-KbEavGjceC2lL9EFnukQbIGXygNye5y9TY7DAZTpZLsjXXVYXg3dapRM4hh9mu5A7-3hTfSXtAtJK21Tsj8dPl3USmJZkGVbebWNKD2rNOjAYl6HJHYdkNBwNpb3U9aNZvzFNYE6h8tFiSyZzBUGJG4K1dwVwTSYQrCptlLRvLt5dA5i2la5Ruk51Ux0VKQjuxPVbAwuyiuFlNgHfzJ5DoxtgqQf1813gnZRLZ5lAYcD7WT1lpGtiQKug9C4jZrrp-Fd-1-Y1bdzo4dvnZDLz7lPHyj8sOgfg4x84E7RTuEaZt8yRZqtDfgT_rwG2u3Dv_ERPFOQL1Cqu2F5aAClCTgVJkcSrojVWJkgh7SGmYhXcYmczkQRfUU9UZfQ4baRI1miYDl_QqlPg) diff --git a/docs/SECURITY.md b/docs/SECURITY.md new file mode 100644 index 0000000000000000000000000000000000000000..507e3c606955fac816c413d1ab1f8ec5ebd1f2e1 --- /dev/null +++ b/docs/SECURITY.md @@ -0,0 +1,44 @@ +# Security Policy + +Our primary goal is to ensure the protection and confidentiality of sensitive data stored by users on open-webui. + +## Supported Versions + +| Version | Supported | +| ------- | ------------------ | +| main | :white_check_mark: | +| others | :x: | + +## Zero Tolerance for External Platforms + +Based on a precedent of an unacceptable degree of spamming and unsolicited communications from third-party platforms, we forcefully reaffirm our stance. **We refuse to engage with, join, or monitor any platforms outside of GitHub for vulnerability reporting.** Our reasons are not just procedural but are deep-seated in the ethos of our project, which champions transparency and direct community interaction inherent in the open-source culture. Any attempts to divert our processes to external platforms will be met with outright rejection. This policy is non-negotiable and understands no exceptions. + +Any reports or solicitations arriving from sources other than our designated GitHub repository will be dismissed without consideration. We’ve seen how external engagements can dilute and compromise the integrity of community-driven projects, and we’re not here to gamble with the security and privacy of our user community. + +## Reporting a Vulnerability + +We appreciate the community's interest in identifying potential vulnerabilities. However, effective immediately, we will **not** accept low-effort vulnerability reports. To ensure that submissions are constructive and actionable, please adhere to the following guidelines: + +Reports not submitted through our designated GitHub repository will be disregarded, and we will categorically reject invitations to collaborate on external platforms. Our aggressive stance on this matter underscores our commitment to a secure, transparent, and open community where all operations are visible and contributors are accountable. + +1. **No Vague Reports**: Submissions such as "I found a vulnerability" without any details will be treated as spam and will not be accepted. + +2. **In-Depth Understanding Required**: Reports must reflect a clear understanding of the codebase and provide specific details about the vulnerability, including the affected components and potential impacts. + +3. **Proof of Concept (PoC) is Mandatory**: Each submission must include a well-documented proof of concept (PoC) that demonstrates the vulnerability. If confidentiality is a concern, reporters are encouraged to create a private fork of the repository and share access with the maintainers. Reports lacking valid evidence will be disregarded. + +4. **Required Patch Submission**: Along with the PoC, reporters must provide a patch or actionable steps to remediate the identified vulnerability. This helps us evaluate and implement fixes rapidly. + +5. **Streamlined Merging Process**: When vulnerability reports meet the above criteria, we can consider them for immediate merging, similar to regular pull requests. Well-structured and thorough submissions will expedite the process of enhancing our security. + +**Non-compliant submissions will be closed, and repeat violators may be banned.** Our goal is to foster a constructive reporting environment where quality submissions promote better security for all users. + +## Product Security + +We regularly audit our internal processes and system architecture for vulnerabilities using a combination of automated and manual testing techniques. We are also planning to implement SAST and SCA scans in our project soon. + +For immediate concerns or detailed reports that meet our guidelines, please create an issue in our [issue tracker](/open-webui/open-webui/issues) or contact us on [Discord](https://discord.gg/5rJgQTnV4s). + +--- + +_Last updated on **2024-08-19**._ diff --git a/docs/apache.md b/docs/apache.md new file mode 100644 index 0000000000000000000000000000000000000000..ebbcc17f45777368366d1c99a54b48dd69525558 --- /dev/null +++ b/docs/apache.md @@ -0,0 +1,199 @@ +# Hosting UI and Models separately + +Sometimes, its beneficial to host Ollama, separate from the UI, but retain the RAG and RBAC support features shared across users: + +# Open WebUI Configuration + +## UI Configuration + +For the UI configuration, you can set up the Apache VirtualHost as follows: + +``` +# Assuming you have a website hosting this UI at "server.com" + + ServerName server.com + DocumentRoot /home/server/public_html + + ProxyPass / http://server.com:3000/ nocanon + ProxyPassReverse / http://server.com:3000/ + + +``` + +Enable the site first before you can request SSL: + +`a2ensite server.com.conf` # this will enable the site. a2ensite is short for "Apache 2 Enable Site" + +``` +# For SSL + + ServerName server.com + DocumentRoot /home/server/public_html + + ProxyPass / http://server.com:3000/ nocanon + ProxyPassReverse / http://server.com:3000/ + + SSLEngine on + SSLCertificateFile /etc/ssl/virtualmin/170514456861234/ssl.cert + SSLCertificateKeyFile /etc/ssl/virtualmin/170514456861234/ssl.key + SSLProtocol all -SSLv2 -SSLv3 -TLSv1 -TLSv1.1 + + SSLProxyEngine on + SSLCACertificateFile /etc/ssl/virtualmin/170514456865864/ssl.ca + + +``` + +I'm using virtualmin here for my SSL clusters, but you can also use certbot directly or your preferred SSL method. To use SSL: + +### Prerequisites. + +Run the following commands: + +`snap install certbot --classic` +`snap apt install python3-certbot-apache` (this will install the apache plugin). + +Navigate to the apache sites-available directory: + +`cd /etc/apache2/sites-available/` + +Create server.com.conf if it is not yet already created, containing the above `` configuration (it should match your case. Modify as necessary). Use the one without the SSL: + +Once it's created, run `certbot --apache -d server.com`, this will request and add/create an SSL keys for you as well as create the server.com.le-ssl.conf + +# Configuring Ollama Server + +On your latest installation of Ollama, make sure that you have setup your api server from the official Ollama reference: + +[Ollama FAQ](https://github.com/jmorganca/ollama/blob/main/docs/faq.md) + +### TL;DR + +The guide doesn't seem to match the current updated service file on linux. So, we will address it here: + +Unless when you're compiling Ollama from source, installing with the standard install `curl https://ollama.com/install.sh | sh` creates a file called `ollama.service` in /etc/systemd/system. You can use nano to edit the file: + +``` +sudo nano /etc/systemd/system/ollama.service +``` + +Add the following lines: + +``` +Environment="OLLAMA_HOST=0.0.0.0:11434" # this line is mandatory. You can also specify +``` + +For instance: + +``` +[Unit] +Description=Ollama Service +After=network-online.target + +[Service] +ExecStart=/usr/local/bin/ollama serve +Environment="OLLAMA_HOST=0.0.0.0:11434" # this line is mandatory. You can also specify 192.168.254.109:DIFFERENT_PORT, format +Environment="OLLAMA_ORIGINS=http://192.168.254.106:11434,https://models.server.city" # this line is optional +User=ollama +Group=ollama +Restart=always +RestartSec=3 +Environment="PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/s> + +[Install] +WantedBy=default.target +``` + +Save the file by pressing CTRL+S, then press CTRL+X + +When your computer restarts, the Ollama server will now be listening on the IP:PORT you specified, in this case 0.0.0.0:11434, or 192.168.254.106:11434 (whatever your local IP address is). Make sure that your router is correctly configured to serve pages from that local IP by forwarding 11434 to your local IP server. + +# Ollama Model Configuration + +## For the Ollama model configuration, use the following Apache VirtualHost setup: + +Navigate to the apache sites-available directory: + +`cd /etc/apache2/sites-available/` + +`nano models.server.city.conf` # match this with your ollama server domain + +Add the following virtualhost containing this example (modify as needed): + +``` + +# Assuming you have a website hosting this UI at "models.server.city" + + + DocumentRoot "/var/www/html/" + ServerName models.server.city + + Options None + Require all granted + + + ProxyRequests Off + ProxyPreserveHost On + ProxyAddHeaders On + SSLProxyEngine on + + ProxyPass / http://server.city:1000/ nocanon # or port 11434 + ProxyPassReverse / http://server.city:1000/ # or port 11434 + + SSLCertificateFile /etc/letsencrypt/live/models.server.city/fullchain.pem + SSLCertificateKeyFile /etc/letsencrypt/live/models.server.city/privkey.pem + Include /etc/letsencrypt/options-ssl-apache.conf + + +``` + +You may need to enable the site first (if you haven't done so yet) before you can request SSL: + +`a2ensite models.server.city.conf` + +#### For the SSL part of Ollama server + +Run the following commands: + +Navigate to the apache sites-available directory: + +`cd /etc/apache2/sites-available/` +`certbot --apache -d server.com` + +``` + + DocumentRoot "/var/www/html/" + ServerName models.server.city + + Options None + Require all granted + + + ProxyRequests Off + ProxyPreserveHost On + ProxyAddHeaders On + SSLProxyEngine on + + ProxyPass / http://server.city:1000/ nocanon # or port 11434 + ProxyPassReverse / http://server.city:1000/ # or port 11434 + + RewriteEngine on + RewriteCond %{SERVER_NAME} =models.server.city + RewriteRule ^ https://%{SERVER_NAME}%{REQUEST_URI} [END,NE,R=permanent] + + +``` + +Don't forget to restart/reload Apache with `systemctl reload apache2` + +Open your site at https://server.com! + +**Congratulations**, your _**Open-AI-like Chat-GPT style UI**_ is now serving AI with RAG, RBAC and multimodal features! Download Ollama models if you haven't yet done so! + +If you encounter any misconfiguration or errors, please file an issue or engage with our discussion. There are a lot of friendly developers here to assist you. + +Let's make this UI much more user friendly for everyone! + +Thanks for making open-webui your UI Choice for AI! + +This doc is made by **Bob Reyes**, your **Open-WebUI** fan from the Philippines. diff --git a/hatch_build.py b/hatch_build.py new file mode 100644 index 0000000000000000000000000000000000000000..8ddaf0749bd6783b785fe63d6ce4b7f3e8a5b5d9 --- /dev/null +++ b/hatch_build.py @@ -0,0 +1,23 @@ +# noqa: INP001 +import os +import shutil +import subprocess +from sys import stderr + +from hatchling.builders.hooks.plugin.interface import BuildHookInterface + + +class CustomBuildHook(BuildHookInterface): + def initialize(self, version, build_data): + super().initialize(version, build_data) + stderr.write(">>> Building Open Webui frontend\n") + npm = shutil.which("npm") + if npm is None: + raise RuntimeError( + "NodeJS `npm` is required for building Open Webui but it was not found" + ) + stderr.write("### npm install\n") + subprocess.run([npm, "install"], check=True) # noqa: S603 + stderr.write("\n### npm run build\n") + os.environ["APP_BUILD_HASH"] = version + subprocess.run([npm, "run", "build"], check=True) # noqa: S603 diff --git a/i18next-parser.config.ts b/i18next-parser.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..37ce57ee1474e49787145f82cd6a64ad65773c4d --- /dev/null +++ b/i18next-parser.config.ts @@ -0,0 +1,38 @@ +// i18next-parser.config.ts +import { getLanguages } from './src/lib/i18n/index.ts'; + +const getLangCodes = async () => { + const languages = await getLanguages(); + return languages.map((l) => l.code); +}; + +export default { + contextSeparator: '_', + createOldCatalogs: false, + defaultNamespace: 'translation', + defaultValue: '', + indentation: 2, + keepRemoved: false, + keySeparator: false, + lexers: { + svelte: ['JavascriptLexer'], + js: ['JavascriptLexer'], + ts: ['JavascriptLexer'], + + default: ['JavascriptLexer'] + }, + lineEnding: 'auto', + locales: await getLangCodes(), + namespaceSeparator: false, + output: 'src/lib/i18n/locales/$LOCALE/$NAMESPACE.json', + pluralSeparator: '_', + input: 'src/**/*.{js,svelte}', + sort: true, + verbose: true, + failOnWarnings: false, + failOnUpdate: false, + customValueTemplate: null, + resetDefaultValueLocale: null, + i18nextOptions: null, + yamlOptions: null +}; diff --git a/kubernetes/helm/README.md b/kubernetes/helm/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5737007d964de10301f85357e83a91a3bf635248 --- /dev/null +++ b/kubernetes/helm/README.md @@ -0,0 +1,4 @@ +# Helm Charts +Open WebUI Helm Charts are now hosted in a separate repo, which can be found here: https://github.com/open-webui/helm-charts + +The charts are released at https://helm.openwebui.com. \ No newline at end of file diff --git a/kubernetes/manifest/base/kustomization.yaml b/kubernetes/manifest/base/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..61500f87c513a3e53c595422e1ed33169da4a129 --- /dev/null +++ b/kubernetes/manifest/base/kustomization.yaml @@ -0,0 +1,8 @@ +resources: + - open-webui.yaml + - ollama-service.yaml + - ollama-statefulset.yaml + - webui-deployment.yaml + - webui-service.yaml + - webui-ingress.yaml + - webui-pvc.yaml diff --git a/kubernetes/manifest/base/ollama-service.yaml b/kubernetes/manifest/base/ollama-service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8bab65b59effa86ab8e80b6b3f8629ccdbf7ca39 --- /dev/null +++ b/kubernetes/manifest/base/ollama-service.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: Service +metadata: + name: ollama-service + namespace: open-webui +spec: + selector: + app: ollama + ports: + - protocol: TCP + port: 11434 + targetPort: 11434 \ No newline at end of file diff --git a/kubernetes/manifest/base/ollama-statefulset.yaml b/kubernetes/manifest/base/ollama-statefulset.yaml new file mode 100644 index 0000000000000000000000000000000000000000..cd1144caf9d506c7cf5922395c9a075621ad0072 --- /dev/null +++ b/kubernetes/manifest/base/ollama-statefulset.yaml @@ -0,0 +1,41 @@ +apiVersion: apps/v1 +kind: StatefulSet +metadata: + name: ollama + namespace: open-webui +spec: + serviceName: "ollama" + replicas: 1 + selector: + matchLabels: + app: ollama + template: + metadata: + labels: + app: ollama + spec: + containers: + - name: ollama + image: ollama/ollama:latest + ports: + - containerPort: 11434 + resources: + requests: + cpu: "2000m" + memory: "2Gi" + limits: + cpu: "4000m" + memory: "4Gi" + nvidia.com/gpu: "0" + volumeMounts: + - name: ollama-volume + mountPath: /root/.ollama + tty: true + volumeClaimTemplates: + - metadata: + name: ollama-volume + spec: + accessModes: [ "ReadWriteOnce" ] + resources: + requests: + storage: 30Gi \ No newline at end of file diff --git a/kubernetes/manifest/base/open-webui.yaml b/kubernetes/manifest/base/open-webui.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9c1a599f32690ddd8150be77b9bd8a7cd1b14245 --- /dev/null +++ b/kubernetes/manifest/base/open-webui.yaml @@ -0,0 +1,4 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: open-webui \ No newline at end of file diff --git a/kubernetes/manifest/base/webui-deployment.yaml b/kubernetes/manifest/base/webui-deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..79a0a9a23c9652bf755273e7801e3002499a5aa6 --- /dev/null +++ b/kubernetes/manifest/base/webui-deployment.yaml @@ -0,0 +1,38 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: open-webui-deployment + namespace: open-webui +spec: + replicas: 1 + selector: + matchLabels: + app: open-webui + template: + metadata: + labels: + app: open-webui + spec: + containers: + - name: open-webui + image: ghcr.io/open-webui/open-webui:main + ports: + - containerPort: 8080 + resources: + requests: + cpu: "500m" + memory: "500Mi" + limits: + cpu: "1000m" + memory: "1Gi" + env: + - name: OLLAMA_BASE_URL + value: "http://ollama-service.open-webui.svc.cluster.local:11434" + tty: true + volumeMounts: + - name: webui-volume + mountPath: /app/backend/data + volumes: + - name: webui-volume + persistentVolumeClaim: + claimName: open-webui-pvc \ No newline at end of file diff --git a/kubernetes/manifest/base/webui-ingress.yaml b/kubernetes/manifest/base/webui-ingress.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dc0b53ccd456e70910683d28bb117a0272992e1c --- /dev/null +++ b/kubernetes/manifest/base/webui-ingress.yaml @@ -0,0 +1,20 @@ +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: open-webui-ingress + namespace: open-webui + #annotations: + # Use appropriate annotations for your Ingress controller, e.g., for NGINX: + # nginx.ingress.kubernetes.io/rewrite-target: / +spec: + rules: + - host: open-webui.minikube.local + http: + paths: + - path: / + pathType: Prefix + backend: + service: + name: open-webui-service + port: + number: 8080 diff --git a/kubernetes/manifest/base/webui-pvc.yaml b/kubernetes/manifest/base/webui-pvc.yaml new file mode 100644 index 0000000000000000000000000000000000000000..97fb761d422d510a2b725a08c3c52dca53c43ccd --- /dev/null +++ b/kubernetes/manifest/base/webui-pvc.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + labels: + app: open-webui + name: open-webui-pvc + namespace: open-webui +spec: + accessModes: ["ReadWriteOnce"] + resources: + requests: + storage: 2Gi \ No newline at end of file diff --git a/kubernetes/manifest/base/webui-service.yaml b/kubernetes/manifest/base/webui-service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d73845f00a8ec45bc39f629b819542e7d2ced84e --- /dev/null +++ b/kubernetes/manifest/base/webui-service.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Service +metadata: + name: open-webui-service + namespace: open-webui +spec: + type: NodePort # Use LoadBalancer if you're on a cloud that supports it + selector: + app: open-webui + ports: + - protocol: TCP + port: 8080 + targetPort: 8080 + # If using NodePort, you can optionally specify the nodePort: + # nodePort: 30000 \ No newline at end of file diff --git a/kubernetes/manifest/gpu/kustomization.yaml b/kubernetes/manifest/gpu/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c0d39fbfaab6be80a5542e238bec20ce98da096d --- /dev/null +++ b/kubernetes/manifest/gpu/kustomization.yaml @@ -0,0 +1,8 @@ +apiVersion: kustomize.config.k8s.io/v1beta1 +kind: Kustomization + +resources: + - ../base + +patches: +- path: ollama-statefulset-gpu.yaml diff --git a/kubernetes/manifest/gpu/ollama-statefulset-gpu.yaml b/kubernetes/manifest/gpu/ollama-statefulset-gpu.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3e42443656d06c6df25075d094e5c8efb180fda1 --- /dev/null +++ b/kubernetes/manifest/gpu/ollama-statefulset-gpu.yaml @@ -0,0 +1,17 @@ +apiVersion: apps/v1 +kind: StatefulSet +metadata: + name: ollama + namespace: open-webui +spec: + selector: + matchLabels: + app: ollama + serviceName: "ollama" + template: + spec: + containers: + - name: ollama + resources: + limits: + nvidia.com/gpu: "1" diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..6cf21ae1a3a2870914a821e7840b48b7fbe75159 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,11629 @@ +{ + "name": "open-webui", + "version": "0.3.35", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "open-webui", + "version": "0.3.35", + "dependencies": { + "@codemirror/lang-javascript": "^6.2.2", + "@codemirror/lang-python": "^6.1.6", + "@codemirror/language-data": "^6.5.1", + "@codemirror/theme-one-dark": "^6.1.2", + "@huggingface/transformers": "^3.0.0", + "@pyscript/core": "^0.4.32", + "@sveltejs/adapter-node": "^2.0.0", + "@xyflow/svelte": "^0.1.19", + "async": "^3.2.5", + "bits-ui": "^0.19.7", + "codemirror": "^6.0.1", + 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backend/", + "format": "prettier --plugin-search-dir --write \"**/*.{js,ts,svelte,css,md,html,json}\"", + "format:backend": "black . --exclude \".venv/|/venv/\"", + "i18n:parse": "i18next --config i18next-parser.config.ts && prettier --write \"src/lib/i18n/**/*.{js,json}\"", + "cy:open": "cypress open", + "test:frontend": "vitest --passWithNoTests", + "pyodide:fetch": "node scripts/prepare-pyodide.js" + }, + "devDependencies": { + "@sveltejs/adapter-auto": "3.2.2", + "@sveltejs/adapter-static": "^3.0.2", + "@sveltejs/kit": "^2.5.20", + "@sveltejs/vite-plugin-svelte": "^3.1.1", + "@tailwindcss/typography": "^0.5.13", + "@typescript-eslint/eslint-plugin": "^6.17.0", + "@typescript-eslint/parser": "^6.17.0", + "autoprefixer": "^10.4.16", + "cypress": "^13.15.0", + "eslint": "^8.56.0", + "eslint-config-prettier": "^9.1.0", + "eslint-plugin-cypress": "^3.4.0", + "eslint-plugin-svelte": "^2.43.0", + "i18next-parser": "^9.0.1", + "postcss": "^8.4.31", + "prettier": "^3.3.3", + "prettier-plugin-svelte": "^3.2.6", + "svelte": "^4.2.18", + "svelte-check": "^3.8.5", + "svelte-confetti": "^1.3.2", + "tailwindcss": "^3.3.3", + "tslib": "^2.4.1", + "typescript": "^5.5.4", + "vite": "^5.3.5", + "vitest": "^1.6.0" + }, + "type": "module", + "dependencies": { + "@codemirror/lang-javascript": "^6.2.2", + "@codemirror/lang-python": "^6.1.6", + "@codemirror/language-data": "^6.5.1", + "@codemirror/theme-one-dark": "^6.1.2", + "@huggingface/transformers": "^3.0.0", + "@pyscript/core": "^0.4.32", + "@sveltejs/adapter-node": "^2.0.0", + "@xyflow/svelte": "^0.1.19", + "async": "^3.2.5", + "bits-ui": "^0.19.7", + "codemirror": "^6.0.1", + "crc-32": "^1.2.2", + "dayjs": "^1.11.10", + "dompurify": "^3.1.6", + "eventsource-parser": "^1.1.2", + "file-saver": "^2.0.5", + "fuse.js": "^7.0.0", + "highlight.js": "^11.9.0", + "i18next": "^23.10.0", + "i18next-browser-languagedetector": "^7.2.0", + "i18next-resources-to-backend": "^1.2.0", + "idb": "^7.1.1", + "js-sha256": "^0.10.1", + "katex": "^0.16.9", + "marked": "^9.1.0", + "mermaid": "^10.9.3", + "paneforge": "^0.0.6", + "panzoom": "^9.4.3", + "prosemirror-commands": "^1.6.0", + "prosemirror-example-setup": "^1.2.3", + "prosemirror-history": "^1.4.1", + "prosemirror-keymap": "^1.2.2", + "prosemirror-markdown": "^1.13.1", + "prosemirror-model": "^1.23.0", + "prosemirror-schema-basic": "^1.2.3", + "prosemirror-schema-list": "^1.4.1", + "prosemirror-state": "^1.4.3", + "prosemirror-view": "^1.34.3", + "pyodide": "^0.26.1", + "socket.io-client": "^4.2.0", + "sortablejs": "^1.15.2", + "svelte-sonner": "^0.3.19", + "tippy.js": "^6.3.7", + "turndown": "^7.2.0", + "uuid": "^9.0.1" + }, + "engines": { + "node": ">=18.13.0 <=22.x.x", + "npm": ">=6.0.0" + } +} diff --git a/postcss.config.js b/postcss.config.js new file mode 100644 index 0000000000000000000000000000000000000000..0f7721681d725ddea512a5ed734891cf6545ca3c --- /dev/null +++ b/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {} + } +}; diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..b6248063da71f7d1d61999e90f16ddf0731b7ea9 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,145 @@ +[project] +name = "open-webui" +description = "Open WebUI" +authors = [ + { name = "Timothy Jaeryang Baek", email = "tim@openwebui.com" } +] +license = { file = "LICENSE" } +dependencies = [ + "fastapi==0.111.0", + "uvicorn[standard]==0.30.6", + "pydantic==2.9.2", + "python-multipart==0.0.9", + + "Flask==3.0.3", + "Flask-Cors==5.0.0", + + "python-socketio==5.11.3", + "python-jose==3.3.0", + "passlib[bcrypt]==1.7.4", + + "requests==2.32.3", + "aiohttp==3.10.8", + "async-timeout", + + "sqlalchemy==2.0.32", + "alembic==1.13.2", + "peewee==3.17.6", + "peewee-migrate==1.12.2", + "psycopg2-binary==2.9.9", + "PyMySQL==1.1.1", + "bcrypt==4.2.0", + + "pymongo", + "redis", + "boto3==1.35.0", + + "argon2-cffi==23.1.0", + "APScheduler==3.10.4", + + "openai", + "anthropic", + "google-generativeai==0.7.2", + "tiktoken", + + "langchain==0.2.15", + "langchain-community==0.2.12", + "langchain-chroma==0.1.4", + + "fake-useragent==1.5.1", + "chromadb==0.5.9", + "pymilvus==2.4.7", + + "sentence-transformers==3.2.0", + "colbert-ai==0.2.21", + "einops==0.8.0", + + "ftfy==6.2.3", + "pypdf==4.3.1", + "xhtml2pdf==0.2.16", + "pymdown-extensions==10.11.2", + "docx2txt==0.8", + "python-pptx==1.0.0", + "unstructured==0.15.9", + "nltk==3.9.1", + "Markdown==3.7", + "pypandoc==1.13", + "pandas==2.2.3", + "openpyxl==3.1.5", + "pyxlsb==1.0.10", + "xlrd==2.0.1", + "validators==0.33.0", + "psutil", + + "opencv-python-headless==4.10.0.84", + "rapidocr-onnxruntime==1.3.24", + + "fpdf2==2.7.9", + "rank-bm25==0.2.2", + + "faster-whisper==1.0.3", + + "PyJWT[crypto]==2.9.0", + "authlib==1.3.2", + + "black==24.8.0", + "langfuse==2.44.0", + "youtube-transcript-api==0.6.2", + "pytube==15.0.0", + + "extract_msg", + "pydub", + "duckduckgo-search~=6.2.13", + + "docker~=7.1.0", + "pytest~=8.3.2", + "pytest-docker~=3.1.1", + + "googleapis-common-protos==1.63.2" +] +readme = "README.md" +requires-python = ">= 3.11, < 3.12.0a1" +dynamic = ["version"] +classifiers = [ + "Development Status :: 4 - Beta", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.11", + "Topic :: Communications :: Chat", + "Topic :: Multimedia", +] + +[project.scripts] +open-webui = "open_webui:app" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.rye] +managed = true +dev-dependencies = [] + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.version] +path = "package.json" +pattern = '"version":\s*"(?P[^"]+)"' + +[tool.hatch.build.hooks.custom] # keep this for reading hooks from `hatch_build.py` + +[tool.hatch.build.targets.wheel] +sources = ["backend"] +exclude = [ + ".dockerignore", + ".gitignore", + ".webui_secret_key", + "dev.sh", + "requirements.txt", + "start.sh", + "start_windows.bat", + "webui.db", + "chroma.sqlite3", +] +force-include = { "CHANGELOG.md" = "open_webui/CHANGELOG.md", build = "open_webui/frontend" } diff --git a/run-compose.sh b/run-compose.sh new file mode 100755 index 0000000000000000000000000000000000000000..21574e95997fd512bc243adf0fa77456e570010d --- /dev/null +++ b/run-compose.sh @@ -0,0 +1,241 @@ +#!/bin/bash + +# Define color and formatting codes +BOLD='\033[1m' +GREEN='\033[1;32m' +WHITE='\033[1;37m' +RED='\033[0;31m' +NC='\033[0m' # No Color +# Unicode character for tick mark +TICK='\u2713' + +# Detect GPU driver +get_gpu_driver() { + # Detect NVIDIA GPUs using lspci or nvidia-smi + if lspci | grep -i nvidia >/dev/null || nvidia-smi >/dev/null 2>&1; then + echo "nvidia" + return + fi + + # Detect AMD GPUs (including GCN architecture check for amdgpu vs radeon) + if lspci | grep -i amd >/dev/null; then + # List of known GCN and later architecture cards + # This is a simplified list, and in a real-world scenario, you'd want a more comprehensive one + local gcn_and_later=("Radeon HD 7000" "Radeon HD 8000" "Radeon R5" "Radeon R7" "Radeon R9" "Radeon RX") + + # Get GPU information + local gpu_info=$(lspci | grep -i 'vga.*amd') + + for model in "${gcn_and_later[@]}"; do + if echo "$gpu_info" | grep -iq "$model"; then + echo "amdgpu" + return + fi + done + + # Default to radeon if no GCN or later architecture is detected + echo "radeon" + return + fi + + # Detect Intel GPUs + if lspci | grep -i intel >/dev/null; then + echo "i915" + return + fi + + # If no known GPU is detected + echo "Unknown or unsupported GPU driver" + exit 1 +} + +# Function for rolling animation +show_loading() { + local spin='-\|/' + local i=0 + + printf " " + + while kill -0 $1 2>/dev/null; do + i=$(( (i+1) %4 )) + printf "\b${spin:$i:1}" + sleep .1 + done + + # Replace the spinner with a tick + printf "\b${GREEN}${TICK}${NC}" +} + +# Usage information +usage() { + echo "Usage: $0 [OPTIONS]" + echo "Options:" + echo " --enable-gpu[count=COUNT] Enable GPU support with the specified count." + echo " --enable-api[port=PORT] Enable API and expose it on the specified port." + echo " --webui[port=PORT] Set the port for the web user interface." + echo " --data[folder=PATH] Bind mount for ollama data folder (by default will create the 'ollama' volume)." + echo " --build Build the docker image before running the compose project." + echo " --drop Drop the compose project." + echo " -q, --quiet Run script in headless mode." + echo " -h, --help Show this help message." + echo "" + echo "Examples:" + echo " $0 --drop" + echo " $0 --enable-gpu[count=1]" + echo " $0 --enable-gpu[count=all]" + echo " $0 --enable-api[port=11435]" + echo " $0 --enable-gpu[count=1] --enable-api[port=12345] --webui[port=3000]" + echo " $0 --enable-gpu[count=1] --enable-api[port=12345] --webui[port=3000] --data[folder=./ollama-data]" + echo " $0 --enable-gpu[count=1] --enable-api[port=12345] --webui[port=3000] --data[folder=./ollama-data] --build" + echo "" + echo "This script configures and runs a docker-compose setup with optional GPU support, API exposure, and web UI configuration." + echo "About the gpu to use, the script automatically detects it using the "lspci" command." + echo "In this case the gpu detected is: $(get_gpu_driver)" +} + +# Default values +gpu_count=1 +api_port=11435 +webui_port=3000 +headless=false +build_image=false +kill_compose=false + +# Function to extract value from the parameter +extract_value() { + echo "$1" | sed -E 's/.*\[.*=(.*)\].*/\1/; t; s/.*//' +} + +# Parse arguments +while [[ $# -gt 0 ]]; do + key="$1" + + case $key in + --enable-gpu*) + enable_gpu=true + value=$(extract_value "$key") + gpu_count=${value:-1} + ;; + --enable-api*) + enable_api=true + value=$(extract_value "$key") + api_port=${value:-11435} + ;; + --webui*) + value=$(extract_value "$key") + webui_port=${value:-3000} + ;; + --data*) + value=$(extract_value "$key") + data_dir=${value:-"./ollama-data"} + ;; + --drop) + kill_compose=true + ;; + --build) + build_image=true + ;; + -q|--quiet) + headless=true + ;; + -h|--help) + usage + exit + ;; + *) + # Unknown option + echo "Unknown option: $key" + usage + exit 1 + ;; + esac + shift # past argument or value +done + +if [[ $kill_compose == true ]]; then + docker compose down --remove-orphans + echo -e "${GREEN}${BOLD}Compose project dropped successfully.${NC}" + exit +else + DEFAULT_COMPOSE_COMMAND="docker compose -f docker-compose.yaml" + if [[ $enable_gpu == true ]]; then + # Validate and process command-line arguments + if [[ -n $gpu_count ]]; then + if ! [[ $gpu_count =~ ^([0-9]+|all)$ ]]; then + echo "Invalid GPU count: $gpu_count" + exit 1 + fi + echo "Enabling GPU with $gpu_count GPUs" + # Add your GPU allocation logic here + export OLLAMA_GPU_DRIVER=$(get_gpu_driver) + export OLLAMA_GPU_COUNT=$gpu_count # Set OLLAMA_GPU_COUNT environment variable + fi + DEFAULT_COMPOSE_COMMAND+=" -f docker-compose.gpu.yaml" + fi + if [[ $enable_api == true ]]; then + DEFAULT_COMPOSE_COMMAND+=" -f docker-compose.api.yaml" + if [[ -n $api_port ]]; then + export OLLAMA_WEBAPI_PORT=$api_port # Set OLLAMA_WEBAPI_PORT environment variable + fi + fi + if [[ -n $data_dir ]]; then + DEFAULT_COMPOSE_COMMAND+=" -f docker-compose.data.yaml" + export OLLAMA_DATA_DIR=$data_dir # Set OLLAMA_DATA_DIR environment variable + fi + if [[ -n $webui_port ]]; then + export OPEN_WEBUI_PORT=$webui_port # Set OPEN_WEBUI_PORT environment variable + fi + DEFAULT_COMPOSE_COMMAND+=" up -d" + DEFAULT_COMPOSE_COMMAND+=" --remove-orphans" + DEFAULT_COMPOSE_COMMAND+=" --force-recreate" + if [[ $build_image == true ]]; then + DEFAULT_COMPOSE_COMMAND+=" --build" + fi +fi + +# Recap of environment variables +echo +echo -e "${WHITE}${BOLD}Current Setup:${NC}" +echo -e " ${GREEN}${BOLD}GPU Driver:${NC} ${OLLAMA_GPU_DRIVER:-Not Enabled}" +echo -e " ${GREEN}${BOLD}GPU Count:${NC} ${OLLAMA_GPU_COUNT:-Not Enabled}" +echo -e " ${GREEN}${BOLD}WebAPI Port:${NC} ${OLLAMA_WEBAPI_PORT:-Not Enabled}" +echo -e " ${GREEN}${BOLD}Data Folder:${NC} ${data_dir:-Using ollama volume}" +echo -e " ${GREEN}${BOLD}WebUI Port:${NC} $webui_port" +echo + +if [[ $headless == true ]]; then + echo -ne "${WHITE}${BOLD}Running in headless mode... ${NC}" + choice="y" +else + # Ask for user acceptance + echo -ne "${WHITE}${BOLD}Do you want to proceed with current setup? (Y/n): ${NC}" + read -n1 -s choice +fi + +echo + +if [[ $choice == "" || $choice == "y" ]]; then + # Execute the command with the current user + eval "$DEFAULT_COMPOSE_COMMAND" & + + # Capture the background process PID + PID=$! + + # Display the loading animation + #show_loading $PID + + # Wait for the command to finish + wait $PID + + echo + # Check exit status + if [ $? -eq 0 ]; then + echo -e "${GREEN}${BOLD}Compose project started successfully.${NC}" + else + echo -e "${RED}${BOLD}There was an error starting the compose project.${NC}" + fi +else + echo "Aborted." +fi + +echo diff --git a/run-ollama-docker.sh b/run-ollama-docker.sh new file mode 100644 index 0000000000000000000000000000000000000000..c2a025bea3fa88beab7c0e6640de682dc8169c02 --- /dev/null +++ b/run-ollama-docker.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +host_port=11434 +container_port=11434 + +read -r -p "Do you want ollama in Docker with GPU support? (y/n): " use_gpu + +docker rm -f ollama || true +docker pull ollama/ollama:latest + +docker_args="-d -v ollama:/root/.ollama -p $host_port:$container_port --name ollama ollama/ollama" + +if [ "$use_gpu" = "y" ]; then + docker_args="--gpus=all $docker_args" +fi + +docker run $docker_args + +docker image prune -f \ No newline at end of file diff --git a/run.sh b/run.sh new file mode 100644 index 0000000000000000000000000000000000000000..6793fe16271c0b56b9ad1cc409d533bfe1e6ca83 --- /dev/null +++ b/run.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +image_name="open-webui" +container_name="open-webui" +host_port=3000 +container_port=8080 + +docker build -t "$image_name" . +docker stop "$container_name" &>/dev/null || true +docker rm "$container_name" &>/dev/null || true + +docker run -d -p "$host_port":"$container_port" \ + --add-host=host.docker.internal:host-gateway \ + -v "${image_name}:/app/backend/data" \ + --name "$container_name" \ + --restart always \ + "$image_name" + +docker image prune -f diff --git a/scripts/prepare-pyodide.js b/scripts/prepare-pyodide.js new file mode 100644 index 0000000000000000000000000000000000000000..5aaac5927e7dbf5674bd3dc4839b9ed1548bf7b4 --- /dev/null +++ b/scripts/prepare-pyodide.js @@ -0,0 +1,85 @@ +const packages = [ + 'micropip', + 'packaging', + 'requests', + 'beautifulsoup4', + 'numpy', + 'pandas', + 'matplotlib', + 'scikit-learn', + 'scipy', + 'regex', + 'seaborn' +]; + +import { loadPyodide } from 'pyodide'; +import { writeFile, readFile, copyFile, readdir, rmdir } from 'fs/promises'; + +async function downloadPackages() { + console.log('Setting up pyodide + micropip'); + + let pyodide; + try { + pyodide = await loadPyodide({ + packageCacheDir: 'static/pyodide' + }); + } catch (err) { + console.error('Failed to load Pyodide:', err); + return; + } + + const packageJson = JSON.parse(await readFile('package.json')); + const pyodideVersion = packageJson.dependencies.pyodide.replace('^', ''); + + try { + const pyodidePackageJson = JSON.parse(await readFile('static/pyodide/package.json')); + const pyodidePackageVersion = pyodidePackageJson.version.replace('^', ''); + + if (pyodideVersion !== pyodidePackageVersion) { + console.log('Pyodide version mismatch, removing static/pyodide directory'); + await rmdir('static/pyodide', { recursive: true }); + } + } catch (e) { + console.log('Pyodide package not found, proceeding with download.'); + } + + try { + console.log('Loading micropip package'); + await pyodide.loadPackage('micropip'); + + const micropip = pyodide.pyimport('micropip'); + console.log('Downloading Pyodide packages:', packages); + + try { + for (const pkg of packages) { + console.log(`Installing package: ${pkg}`); + await micropip.install(pkg); + } + } catch (err) { + console.error('Package installation failed:', err); + return; + } + + console.log('Pyodide packages downloaded, freezing into lock file'); + + try { + const lockFile = await micropip.freeze(); + await writeFile('static/pyodide/pyodide-lock.json', lockFile); + } catch (err) { + console.error('Failed to write lock file:', err); + } + } catch (err) { + console.error('Failed to load or install micropip:', err); + } +} + +async function copyPyodide() { + console.log('Copying Pyodide files into static directory'); + // Copy all files from node_modules/pyodide to static/pyodide + for await (const entry of await readdir('node_modules/pyodide')) { + await copyFile(`node_modules/pyodide/${entry}`, `static/pyodide/${entry}`); + } +} + +await downloadPackages(); +await copyPyodide(); diff --git a/src/app.css b/src/app.css new file mode 100644 index 0000000000000000000000000000000000000000..ca5249bbd1b95b3aa9bfa38b7b34cd53dd3290f5 --- /dev/null +++ b/src/app.css @@ -0,0 +1,207 @@ +@font-face { + font-family: 'Inter'; + src: url('/assets/fonts/Inter-Variable.ttf'); + font-display: swap; +} + +@font-face { + font-family: 'Archivo'; + src: url('/assets/fonts/Archivo-Variable.ttf'); + font-display: swap; +} + +@font-face { + font-family: 'Mona Sans'; + src: url('/assets/fonts/Mona-Sans.woff2'); + font-display: swap; +} + +html { + word-break: break-word; +} + +code { + /* white-space-collapse: preserve !important; */ + overflow-x: auto; + width: auto; +} + +math { + margin-top: 1rem; +} + +.hljs { + @apply rounded-lg; +} + +.input-prose { + @apply prose dark:prose-invert prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line; +} + +.input-prose-sm { + @apply prose dark:prose-invert prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line text-sm; +} + +.markdown-prose { + @apply prose dark:prose-invert prose-p:my-0 prose-img:my-1 prose-headings:my-1 prose-pre:my-0 prose-table:my-0 prose-blockquote:my-0 prose-ul:-my-0 prose-ol:-my-0 prose-li:-my-0 whitespace-pre-line; +} + +.markdown a { + @apply underline; +} + +.font-primary { + font-family: 'Archivo', sans-serif; +} + +iframe { + @apply rounded-lg; +} + +li p { + display: inline; +} + +::-webkit-scrollbar-thumb { + --tw-border-opacity: 1; + background-color: rgba(236, 236, 236, 0.8); + border-color: rgba(255, 255, 255, var(--tw-border-opacity)); + border-radius: 9999px; + border-width: 1px; +} + +/* Dark theme scrollbar styles */ +.dark ::-webkit-scrollbar-thumb { + background-color: rgba(33, 33, 33, 0.8); /* Darker color for dark theme */ + border-color: rgba(0, 0, 0, var(--tw-border-opacity)); +} + +::-webkit-scrollbar { + height: 0.4rem; + width: 0.4rem; +} + +::-webkit-scrollbar-track { + background-color: transparent; + border-radius: 9999px; +} + +select { + background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 20 20'%3E%3Cpath stroke='%236B7280' stroke-linecap='round' stroke-linejoin='round' stroke-width='1.5' d='m6 8 4 4 4-4'/%3E%3C/svg%3E"); + background-position: right 0.5rem center; + background-repeat: no-repeat; + background-size: 1.5em 1.5em; + padding-right: 2.5rem; + -webkit-print-color-adjust: exact; + print-color-adjust: exact; + /* for Firefox */ + -moz-appearance: none; + /* for Chrome */ + -webkit-appearance: none; +} + +.katex-mathml { + display: none; +} + +.scrollbar-hidden:active::-webkit-scrollbar-thumb, +.scrollbar-hidden:focus::-webkit-scrollbar-thumb, +.scrollbar-hidden:hover::-webkit-scrollbar-thumb { + visibility: visible; +} +.scrollbar-hidden::-webkit-scrollbar-thumb { + visibility: hidden; +} + +.scrollbar-hidden::-webkit-scrollbar-corner { + display: none; +} + +.scrollbar-none::-webkit-scrollbar { + display: none; /* for Chrome, Safari and Opera */ +} + +.scrollbar-none::-webkit-scrollbar-corner { + display: none; +} + +.scrollbar-none { + -ms-overflow-style: none; /* IE and Edge */ + scrollbar-width: none; /* Firefox */ +} + +input::-webkit-outer-spin-button, +input::-webkit-inner-spin-button { + /* display: none; <- Crashes Chrome on hover */ + -webkit-appearance: none; + margin: 0; /* <-- Apparently some margin are still there even though it's hidden */ +} + +input[type='number'] { + -moz-appearance: textfield; /* Firefox */ +} + +.cm-editor { + height: 100%; + width: 100%; +} + +.cm-scroller { + @apply scrollbar-hidden; +} + +.cm-editor.cm-focused { + outline: none; +} + +.tippy-box[data-theme~='dark'] { + @apply rounded-lg bg-gray-950 text-xs border border-gray-900 shadow-xl; +} + +.password { + -webkit-text-security: disc; +} + +.codespan { + color: #eb5757; + border-width: 0px; + padding: 3px 8px; + font-size: 0.8em; + font-weight: 600; + @apply rounded-md dark:bg-gray-800 bg-gray-100 mx-0.5; +} + +.svelte-flow { + background-color: transparent !important; +} + +.svelte-flow__edge > path { + stroke-width: 0.5; +} + +.svelte-flow__edge.animated > path { + stroke-width: 2; + @apply stroke-gray-600 dark:stroke-gray-500; +} + +.bg-gray-950-90 { + background-color: rgba(var(--color-gray-950, #0d0d0d), 0.9); +} + +.ProseMirror { + @apply h-full min-h-fit max-h-full whitespace-pre-wrap; +} + +.ProseMirror:focus { + outline: none; +} + +.placeholder::after { + content: attr(data-placeholder); + cursor: text; + pointer-events: none; + + float: left; + + @apply absolute inset-0 z-0 text-gray-500; +} diff --git a/src/app.d.ts b/src/app.d.ts new file mode 100644 index 0000000000000000000000000000000000000000..f59b884c51ed3c31fc0738fd38d0d75b580df5e4 --- /dev/null +++ b/src/app.d.ts @@ -0,0 +1,12 @@ +// See https://kit.svelte.dev/docs/types#app +// for information about these interfaces +declare global { + namespace App { + // interface Error {} + // interface Locals {} + // interface PageData {} + // interface Platform {} + } +} + +export {}; diff --git a/src/app.html b/src/app.html new file mode 100644 index 0000000000000000000000000000000000000000..f6e46c9cfbe85f6fea6a16c5dc489d6873121392 --- /dev/null +++ b/src/app.html @@ -0,0 +1,231 @@ + + + + + + + + + + + + + + + + + + Open WebUI + + %sveltekit.head% + + + +
        %sveltekit.body%
        + +
        + + + + +
        + + +
        +
        + +
        +
        +
        + + +
        + + + + diff --git a/src/lib/apis/audio/index.ts b/src/lib/apis/audio/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..5cd6ab949ca469f54dbec0cc43a7d7e784340306 --- /dev/null +++ b/src/lib/apis/audio/index.ts @@ -0,0 +1,193 @@ +import { AUDIO_API_BASE_URL } from '$lib/constants'; + +export const getAudioConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${AUDIO_API_BASE_URL}/config`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type OpenAIConfigForm = { + url: string; + key: string; + model: string; + speaker: string; +}; + +export const updateAudioConfig = async (token: string, payload: OpenAIConfigForm) => { + let error = null; + + const res = await fetch(`${AUDIO_API_BASE_URL}/config/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...payload + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const transcribeAudio = async (token: string, file: File) => { + const data = new FormData(); + data.append('file', file); + + let error = null; + const res = await fetch(`${AUDIO_API_BASE_URL}/transcriptions`, { + method: 'POST', + headers: { + Accept: 'application/json', + authorization: `Bearer ${token}` + }, + body: data + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const synthesizeOpenAISpeech = async ( + token: string = '', + speaker: string = 'alloy', + text: string = '', + model?: string +) => { + let error = null; + + const res = await fetch(`${AUDIO_API_BASE_URL}/speech`, { + method: 'POST', + headers: { + Authorization: `Bearer ${token}`, + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + input: text, + voice: speaker, + ...(model && { model }) + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res; + }) + .catch((err) => { + error = err.detail; + console.log(err); + + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +interface AvailableModelsResponse { + models: { name: string; id: string }[] | { id: string }[]; +} + +export const getModels = async (token: string = ''): Promise => { + let error = null; + + const res = await fetch(`${AUDIO_API_BASE_URL}/models`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getVoices = async (token: string = '') => { + let error = null; + + const res = await fetch(`${AUDIO_API_BASE_URL}/voices`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/auths/index.ts b/src/lib/apis/auths/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..30f21c3029fc1e0abe855891cec4771d33f5db4a --- /dev/null +++ b/src/lib/apis/auths/index.ts @@ -0,0 +1,550 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const getAdminDetails = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/admin/details`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAdminConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/admin/config`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateAdminConfig = async (token: string, body: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/admin/config`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify(body) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getSessionUser = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + credentials: 'include' + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const userSignIn = async (email: string, password: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signin`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + credentials: 'include', + body: JSON.stringify({ + email: email, + password: password + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const userSignUp = async ( + name: string, + email: string, + password: string, + profile_image_url: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signup`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + credentials: 'include', + body: JSON.stringify({ + name: name, + email: email, + password: password, + profile_image_url: profile_image_url + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const userSignOut = async () => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signout`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json' + }, + credentials: 'include' + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res; + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } +}; + +export const addUser = async ( + token: string, + name: string, + email: string, + password: string, + role: string = 'pending' +) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/add`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + name: name, + email: email, + password: password, + role: role + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserProfile = async (token: string, name: string, profileImageUrl: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/update/profile`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + name: name, + profile_image_url: profileImageUrl + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserPassword = async (token: string, password: string, newPassword: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/update/password`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + password: password, + new_password: newPassword + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getSignUpEnabledStatus = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signup/enabled`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getDefaultUserRole = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signup/user/role`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateDefaultUserRole = async (token: string, role: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signup/user/role`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + role: role + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const toggleSignUpEnabledStatus = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/signup/enabled/toggle`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getJWTExpiresDuration = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/token/expires`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateJWTExpiresDuration = async (token: string, duration: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/token/expires/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + duration: duration + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const createAPIKey = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/api_key`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + if (error) { + throw error; + } + return res.api_key; +}; + +export const getAPIKey = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/api_key`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + if (error) { + throw error; + } + return res.api_key; +}; + +export const deleteAPIKey = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/auths/api_key`, { + method: 'DELETE', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + if (error) { + throw error; + } + return res; +}; diff --git a/src/lib/apis/chats/index.ts b/src/lib/apis/chats/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..d93d21c73abf4d2726dbc38f67ea5d8398c1217b --- /dev/null +++ b/src/lib/apis/chats/index.ts @@ -0,0 +1,1013 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; +import { getTimeRange } from '$lib/utils'; + +export const createNewChat = async (token: string, chat: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/new`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + chat: chat + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const importChat = async ( + token: string, + chat: object, + meta: object | null, + pinned?: boolean, + folderId?: string | null +) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/import`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + chat: chat, + meta: meta ?? {}, + pinned: pinned, + folder_id: folderId + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getChatList = async (token: string = '', page: number | null = null) => { + let error = null; + const searchParams = new URLSearchParams(); + + if (page !== null) { + searchParams.append('page', `${page}`); + } + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/?${searchParams.toString()}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res.map((chat) => ({ + ...chat, + time_range: getTimeRange(chat.updated_at) + })); +}; + +export const getChatListByUserId = async (token: string = '', userId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/list/user/${userId}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res.map((chat) => ({ + ...chat, + time_range: getTimeRange(chat.updated_at) + })); +}; + +export const getArchivedChatList = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/archived`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAllChats = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/all`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getChatListBySearchText = async (token: string, text: string, page: number = 1) => { + let error = null; + + const searchParams = new URLSearchParams(); + searchParams.append('text', text); + searchParams.append('page', `${page}`); + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/search?${searchParams.toString()}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res.map((chat) => ({ + ...chat, + time_range: getTimeRange(chat.updated_at) + })); +}; + +export const getChatsByFolderId = async (token: string, folderId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/folder/${folderId}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAllArchivedChats = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/all/archived`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAllUserChats = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/all/db`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAllTags = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/all/tags`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getPinnedChatList = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/pinned`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res.map((chat) => ({ + ...chat, + time_range: getTimeRange(chat.updated_at) + })); +}; + +export const getChatListByTagName = async (token: string = '', tagName: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/tags`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + name: tagName + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res.map((chat) => ({ + ...chat, + time_range: getTimeRange(chat.updated_at) + })); +}; + +export const getChatById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getChatByShareId = async (token: string, share_id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/share/${share_id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getChatPinnedStatusById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/pinned`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const toggleChatPinnedStatusById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/pin`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const cloneChatById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/clone`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const shareChatById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/share`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateChatFolderIdById = async (token: string, id: string, folderId?: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/folder`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + folder_id: folderId + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const archiveChatById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/archive`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteSharedChatById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/share`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateChatById = async (token: string, id: string, chat: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + chat: chat + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteChatById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getTagsById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/tags`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const addTagById = async (token: string, id: string, tagName: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/tags`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + name: tagName + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteTagById = async (token: string, id: string, tagName: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/tags`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + name: tagName + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; +export const deleteTagsById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/${id}/tags/all`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteAllChats = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const archiveAllChats = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/chats/archive/all`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/configs/index.ts b/src/lib/apis/configs/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..0c4de6ad65617b52cbb60e304112e186b1a2394f --- /dev/null +++ b/src/lib/apis/configs/index.ts @@ -0,0 +1,176 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; +import type { Banner } from '$lib/types'; + +export const importConfig = async (token: string, config) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/configs/import`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + config: config + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const exportConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/configs/export`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const setDefaultModels = async (token: string, models: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/configs/default/models`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + models: models + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const setDefaultPromptSuggestions = async (token: string, promptSuggestions: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/configs/default/suggestions`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + suggestions: promptSuggestions + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getBanners = async (token: string): Promise => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/configs/banners`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const setBanners = async (token: string, banners: Banner[]) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/configs/banners`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + banners: banners + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/evaluations/index.ts b/src/lib/apis/evaluations/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..f6f35f7c18de93af0d188ff61c417698094e5dee --- /dev/null +++ b/src/lib/apis/evaluations/index.ts @@ -0,0 +1,246 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const getConfig = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/config`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateConfig = async (token: string, config: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/config`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...config + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAllFeedbacks = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/feedbacks/all`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const exportAllFeedbacks = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/feedbacks/all/export`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const createNewFeedback = async (token: string, feedback: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/feedback`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...feedback + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFeedbackById = async (token: string, feedbackId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/feedback/${feedbackId}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFeedbackById = async (token: string, feedbackId: string, feedback: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/feedback/${feedbackId}`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...feedback + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteFeedbackById = async (token: string, feedbackId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/evaluations/feedback/${feedbackId}`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/files/index.ts b/src/lib/apis/files/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..6a42ec6147e87315d27d815528e98632401896ac --- /dev/null +++ b/src/lib/apis/files/index.ts @@ -0,0 +1,243 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const uploadFile = async (token: string, file: File) => { + const data = new FormData(); + data.append('file', file); + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/`, { + method: 'POST', + headers: { + Accept: 'application/json', + authorization: `Bearer ${token}` + }, + body: data + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const uploadDir = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/upload/dir`, { + method: 'POST', + headers: { + Accept: 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFiles = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFileById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/${id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFileDataContentById = async (token: string, id: string, content: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/${id}/data/content/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + content: content + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFileContentById = async (id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/${id}/content`, { + method: 'GET', + headers: { + Accept: 'application/json' + }, + credentials: 'include' + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return await res.blob(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteFileById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/${id}`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteAllFiles = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/files/all`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/folders/index.ts b/src/lib/apis/folders/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..f1a1f5b4832ba0a193fca92a84ef86ee3e3399f6 --- /dev/null +++ b/src/lib/apis/folders/index.ts @@ -0,0 +1,269 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const createNewFolder = async (token: string, name: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: name + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFolders = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFolderById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFolderNameById = async (token: string, id: string, name: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: name + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFolderIsExpandedById = async ( + token: string, + id: string, + isExpanded: boolean +) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}/update/expanded`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + is_expanded: isExpanded + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFolderParentIdById = async (token: string, id: string, parentId?: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}/update/parent`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + parent_id: parentId + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type FolderItems = { + chat_ids: string[]; + file_ids: string[]; +}; + +export const updateFolderItemsById = async (token: string, id: string, items: FolderItems) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}/update/items`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + items: items + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteFolderById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/folders/${id}`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/functions/index.ts b/src/lib/apis/functions/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..ed3306b3214967e98dee60ab0cf14042bc0bf141 --- /dev/null +++ b/src/lib/apis/functions/index.ts @@ -0,0 +1,455 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const createNewFunction = async (token: string, func: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/create`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...func + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFunctions = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const exportFunctions = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/export`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFunctionById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFunctionById = async (token: string, id: string, func: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...func + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteFunctionById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/delete`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const toggleFunctionById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/toggle`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const toggleGlobalById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/toggle/global`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFunctionValvesById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/valves`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getFunctionValvesSpecById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/valves/spec`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFunctionValvesById = async (token: string, id: string, valves: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/valves/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...valves + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUserValvesById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/valves/user`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUserValvesSpecById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/valves/user/spec`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserValvesById = async (token: string, id: string, valves: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/functions/id/${id}/valves/user/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...valves + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/images/index.ts b/src/lib/apis/images/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..2e6510437b5176c8b9aad7a571b07628d0bee7a5 --- /dev/null +++ b/src/lib/apis/images/index.ts @@ -0,0 +1,232 @@ +import { IMAGES_API_BASE_URL } from '$lib/constants'; + +export const getConfig = async (token: string = '') => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/config`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateConfig = async (token: string = '', config: object) => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/config/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + ...config + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const verifyConfigUrl = async (token: string = '') => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/config/url/verify`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getImageGenerationConfig = async (token: string = '') => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/image/config`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateImageGenerationConfig = async (token: string = '', config: object) => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/image/config/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ ...config }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getImageGenerationModels = async (token: string = '') => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/models`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const imageGenerations = async (token: string = '', prompt: string) => { + let error = null; + + const res = await fetch(`${IMAGES_API_BASE_URL}/generations`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + prompt: prompt + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/index.ts b/src/lib/apis/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..40d0e03924c67b9c83b05214a6de66cff9257295 --- /dev/null +++ b/src/lib/apis/index.ts @@ -0,0 +1,1060 @@ +import { WEBUI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants'; + +export const getModels = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/models`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + let models = res?.data ?? []; + + models = models + .filter((models) => models) + // Sort the models + .sort((a, b) => { + // Check if models have position property + const aHasPosition = a.info?.meta?.position !== undefined; + const bHasPosition = b.info?.meta?.position !== undefined; + + // If both a and b have the position property + if (aHasPosition && bHasPosition) { + return a.info.meta.position - b.info.meta.position; + } + + // If only a has the position property, it should come first + if (aHasPosition) return -1; + + // If only b has the position property, it should come first + if (bHasPosition) return 1; + + // Compare case-insensitively by name for models without position property + const lowerA = a.name.toLowerCase(); + const lowerB = b.name.toLowerCase(); + + if (lowerA < lowerB) return -1; + if (lowerA > lowerB) return 1; + + // If same case-insensitively, sort by original strings, + // lowercase will come before uppercase due to ASCII values + if (a.name < b.name) return -1; + if (a.name > b.name) return 1; + + return 0; // They are equal + }); + + console.log(models); + return models; +}; + +type ChatCompletedForm = { + model: string; + messages: string[]; + chat_id: string; + session_id: string; +}; + +export const chatCompleted = async (token: string, body: ChatCompletedForm) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/chat/completed`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify(body) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type ChatActionForm = { + model: string; + messages: string[]; + chat_id: string; +}; + +export const chatAction = async (token: string, action_id: string, body: ChatActionForm) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/chat/actions/${action_id}`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify(body) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getTaskConfig = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/config`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateTaskConfig = async (token: string, config: object) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/config/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify(config) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const generateTitle = async ( + token: string = '', + model: string, + messages: string[], + chat_id?: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/title/completions`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + messages: messages, + ...(chat_id && { chat_id: chat_id }) + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } + return null; + }); + + if (error) { + throw error; + } + + return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? 'New Chat'; +}; + +export const generateTags = async ( + token: string = '', + model: string, + messages: string, + chat_id?: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/tags/completions`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + messages: messages, + ...(chat_id && { chat_id: chat_id }) + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } + return null; + }); + + if (error) { + throw error; + } + + try { + // Step 1: Safely extract the response string + const response = res?.choices[0]?.message?.content ?? ''; + + // Step 2: Attempt to fix common JSON format issues like single quotes + const sanitizedResponse = response.replace(/['‘’`]/g, '"'); // Convert single quotes to double quotes for valid JSON + + // Step 3: Find the relevant JSON block within the response + const jsonStartIndex = sanitizedResponse.indexOf('{'); + const jsonEndIndex = sanitizedResponse.lastIndexOf('}'); + + // Step 4: Check if we found a valid JSON block (with both `{` and `}`) + if (jsonStartIndex !== -1 && jsonEndIndex !== -1) { + const jsonResponse = sanitizedResponse.substring(jsonStartIndex, jsonEndIndex + 1); + + // Step 5: Parse the JSON block + const parsed = JSON.parse(jsonResponse); + + // Step 6: If there's a "tags" key, return the tags array; otherwise, return an empty array + if (parsed && parsed.tags) { + return Array.isArray(parsed.tags) ? parsed.tags : []; + } else { + return []; + } + } + + // If no valid JSON block found, return an empty array + return []; + } catch (e) { + // Catch and safely return empty array on any parsing errors + console.error('Failed to parse response: ', e); + return []; + } +}; + +export const generateEmoji = async ( + token: string = '', + model: string, + prompt: string, + chat_id?: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/emoji/completions`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + prompt: prompt, + ...(chat_id && { chat_id: chat_id }) + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } + return null; + }); + + if (error) { + throw error; + } + + const response = res?.choices[0]?.message?.content.replace(/["']/g, '') ?? null; + + if (response) { + if (/\p{Extended_Pictographic}/u.test(response)) { + return response.match(/\p{Extended_Pictographic}/gu)[0]; + } + } + + return null; +}; + +export const generateSearchQuery = async ( + token: string = '', + model: string, + messages: object[], + prompt: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/query/completions`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + messages: messages, + prompt: prompt + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } + return null; + }); + + if (error) { + throw error; + } + + return res?.choices[0]?.message?.content.replace(/["']/g, '') ?? prompt; +}; + +export const generateMoACompletion = async ( + token: string = '', + model: string, + prompt: string, + responses: string[] +) => { + const controller = new AbortController(); + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/task/moa/completions`, { + signal: controller.signal, + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + prompt: prompt, + responses: responses, + stream: true + }) + }).catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return [res, controller]; +}; + +export const getPipelinesList = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/pipelines/list`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + let pipelines = res?.data ?? []; + return pipelines; +}; + +export const uploadPipeline = async (token: string, file: File, urlIdx: string) => { + let error = null; + + // Create a new FormData object to handle the file upload + const formData = new FormData(); + formData.append('file', file); + formData.append('urlIdx', urlIdx); + + const res = await fetch(`${WEBUI_BASE_URL}/api/pipelines/upload`, { + method: 'POST', + headers: { + ...(token && { authorization: `Bearer ${token}` }) + // 'Content-Type': 'multipart/form-data' is not needed as Fetch API will set it automatically + }, + body: formData + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const downloadPipeline = async (token: string, url: string, urlIdx: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/pipelines/add`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + url: url, + urlIdx: urlIdx + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deletePipeline = async (token: string, id: string, urlIdx: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/pipelines/delete`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + id: id, + urlIdx: urlIdx + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getPipelines = async (token: string, urlIdx?: string) => { + let error = null; + + const searchParams = new URLSearchParams(); + if (urlIdx !== undefined) { + searchParams.append('urlIdx', urlIdx); + } + + const res = await fetch(`${WEBUI_BASE_URL}/api/pipelines?${searchParams.toString()}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + let pipelines = res?.data ?? []; + return pipelines; +}; + +export const getPipelineValves = async (token: string, pipeline_id: string, urlIdx: string) => { + let error = null; + + const searchParams = new URLSearchParams(); + if (urlIdx !== undefined) { + searchParams.append('urlIdx', urlIdx); + } + + const res = await fetch( + `${WEBUI_BASE_URL}/api/pipelines/${pipeline_id}/valves?${searchParams.toString()}`, + { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + } + ) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getPipelineValvesSpec = async (token: string, pipeline_id: string, urlIdx: string) => { + let error = null; + + const searchParams = new URLSearchParams(); + if (urlIdx !== undefined) { + searchParams.append('urlIdx', urlIdx); + } + + const res = await fetch( + `${WEBUI_BASE_URL}/api/pipelines/${pipeline_id}/valves/spec?${searchParams.toString()}`, + { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + } + ) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updatePipelineValves = async ( + token: string = '', + pipeline_id: string, + valves: object, + urlIdx: string +) => { + let error = null; + + const searchParams = new URLSearchParams(); + if (urlIdx !== undefined) { + searchParams.append('urlIdx', urlIdx); + } + + const res = await fetch( + `${WEBUI_BASE_URL}/api/pipelines/${pipeline_id}/valves/update?${searchParams.toString()}`, + { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify(valves) + } + ) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + + if ('detail' in err) { + error = err.detail; + } else { + error = err; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getBackendConfig = async () => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/config`, { + method: 'GET', + credentials: 'include', + headers: { + 'Content-Type': 'application/json' + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getChangelog = async () => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/changelog`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json' + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getVersionUpdates = async () => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/version/updates`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json' + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getModelFilterConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/config/model/filter`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateModelFilterConfig = async ( + token: string, + enabled: boolean, + models: string[] +) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/config/model/filter`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + enabled: enabled, + models: models + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getWebhookUrl = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/webhook`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res.url; +}; + +export const updateWebhookUrl = async (token: string, url: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/webhook`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + url: url + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res.url; +}; + +export const getCommunitySharingEnabledStatus = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/community_sharing`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const toggleCommunitySharingEnabledStatus = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/community_sharing/toggle`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getModelConfig = async (token: string): Promise => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/config/models`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res.models; +}; + +export interface ModelConfig { + id: string; + name: string; + meta: ModelMeta; + base_model_id?: string; + params: ModelParams; +} + +export interface ModelMeta { + description?: string; + capabilities?: object; + profile_image_url?: string; +} + +export interface ModelParams {} + +export type GlobalModelConfig = ModelConfig[]; + +export const updateModelConfig = async (token: string, config: GlobalModelConfig) => { + let error = null; + + const res = await fetch(`${WEBUI_BASE_URL}/api/config/models`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + models: config + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/knowledge/index.ts b/src/lib/apis/knowledge/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..8428668996329f343f79ef28c58b20bbf3cc6f4a --- /dev/null +++ b/src/lib/apis/knowledge/index.ts @@ -0,0 +1,308 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const createNewKnowledge = async (token: string, name: string, description: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/create`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: name, + description: description + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getKnowledgeItems = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getKnowledgeById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type KnowledgeUpdateForm = { + name?: string; + description?: string; + data?: object; +}; + +export const updateKnowledgeById = async (token: string, id: string, form: KnowledgeUpdateForm) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: form?.name ? form.name : undefined, + description: form?.description ? form.description : undefined, + data: form?.data ? form.data : undefined + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const addFileToKnowledgeById = async (token: string, id: string, fileId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}/file/add`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + file_id: fileId + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateFileFromKnowledgeById = async (token: string, id: string, fileId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}/file/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + file_id: fileId + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const removeFileFromKnowledgeById = async (token: string, id: string, fileId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}/file/remove`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + file_id: fileId + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const resetKnowledgeById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}/reset`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteKnowledgeById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/knowledge/${id}/delete`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/memories/index.ts b/src/lib/apis/memories/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..3fd83ca9e06fdb2cf8cf8e94fd01666134cb024d --- /dev/null +++ b/src/lib/apis/memories/index.ts @@ -0,0 +1,186 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const getMemories = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/memories/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const addNewMemory = async (token: string, content: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/memories/add`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + content: content + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateMemoryById = async (token: string, id: string, content: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/memories/${id}/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + content: content + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const queryMemory = async (token: string, content: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/memories/query`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + content: content + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteMemoryById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/memories/${id}`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteMemoriesByUserId = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/memories/delete/user`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/models/index.ts b/src/lib/apis/models/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..9faa358d33100d3193b1a9200f361fd835d30098 --- /dev/null +++ b/src/lib/apis/models/index.ts @@ -0,0 +1,167 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const addNewModel = async (token: string, model: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/models/add`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify(model) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getModelInfos = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/models`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getModelById = async (token: string, id: string) => { + let error = null; + + const searchParams = new URLSearchParams(); + searchParams.append('id', id); + + const res = await fetch(`${WEBUI_API_BASE_URL}/models?${searchParams.toString()}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateModelById = async (token: string, id: string, model: object) => { + let error = null; + + const searchParams = new URLSearchParams(); + searchParams.append('id', id); + + const res = await fetch(`${WEBUI_API_BASE_URL}/models/update?${searchParams.toString()}`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify(model) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteModelById = async (token: string, id: string) => { + let error = null; + + const searchParams = new URLSearchParams(); + searchParams.append('id', id); + + const res = await fetch(`${WEBUI_API_BASE_URL}/models/delete?${searchParams.toString()}`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/ollama/index.ts b/src/lib/apis/ollama/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..d4e994312e22e87d6399062a84bdab6c89ac72b0 --- /dev/null +++ b/src/lib/apis/ollama/index.ts @@ -0,0 +1,508 @@ +import { OLLAMA_API_BASE_URL } from '$lib/constants'; + +export const getOllamaConfig = async (token: string = '') => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/config`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateOllamaConfig = async (token: string = '', enable_ollama_api: boolean) => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/config/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + enable_ollama_api: enable_ollama_api + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getOllamaUrls = async (token: string = '') => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/urls`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res.OLLAMA_BASE_URLS; +}; + +export const updateOllamaUrls = async (token: string = '', urls: string[]) => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/urls/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + urls: urls + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res.OLLAMA_BASE_URLS; +}; + +export const getOllamaVersion = async (token: string, urlIdx?: number) => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/version${urlIdx ? `/${urlIdx}` : ''}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res?.version ?? false; +}; + +export const getOllamaModels = async (token: string = '') => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/tags`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return (res?.models ?? []) + .map((model) => ({ id: model.model, name: model.name ?? model.model, ...model })) + .sort((a, b) => { + return a.name.localeCompare(b.name); + }); +}; + +export const generatePrompt = async (token: string = '', model: string, conversation: string) => { + let error = null; + + if (conversation === '') { + conversation = '[no existing conversation]'; + } + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + prompt: `Conversation: + ${conversation} + + As USER in the conversation above, your task is to continue the conversation. Remember, Your responses should be crafted as if you're a human conversing in a natural, realistic manner, keeping in mind the context and flow of the dialogue. Please generate a fitting response to the last message in the conversation, or if there is no existing conversation, initiate one as a normal person would. + + Response: + ` + }) + }).catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const generateEmbeddings = async (token: string = '', model: string, text: string) => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/embeddings`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + prompt: text + }) + }).catch((err) => { + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const generateTextCompletion = async (token: string = '', model: string, text: string) => { + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/generate`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + model: model, + prompt: text, + stream: true + }) + }).catch((err) => { + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const generateChatCompletion = async (token: string = '', body: object) => { + let controller = new AbortController(); + let error = null; + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/chat`, { + signal: controller.signal, + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify(body) + }).catch((err) => { + error = err; + return null; + }); + + if (error) { + throw error; + } + + return [res, controller]; +}; + +export const createModel = async ( + token: string, + tagName: string, + content: string, + urlIdx: string | null = null +) => { + let error = null; + + const res = await fetch( + `${OLLAMA_API_BASE_URL}/api/create${urlIdx !== null ? `/${urlIdx}` : ''}`, + { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: tagName, + modelfile: content + }) + } + ).catch((err) => { + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteModel = async (token: string, tagName: string, urlIdx: string | null = null) => { + let error = null; + + const res = await fetch( + `${OLLAMA_API_BASE_URL}/api/delete${urlIdx !== null ? `/${urlIdx}` : ''}`, + { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: tagName + }) + } + ) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + console.log(json); + return true; + }) + .catch((err) => { + console.log(err); + error = err; + + if ('detail' in err) { + error = err.detail; + } + + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const pullModel = async (token: string, tagName: string, urlIdx: number | null = null) => { + let error = null; + const controller = new AbortController(); + + const res = await fetch(`${OLLAMA_API_BASE_URL}/api/pull${urlIdx !== null ? `/${urlIdx}` : ''}`, { + signal: controller.signal, + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + name: tagName + }) + }).catch((err) => { + console.log(err); + error = err; + + if ('detail' in err) { + error = err.detail; + } + + return null; + }); + if (error) { + throw error; + } + return [res, controller]; +}; + +export const downloadModel = async ( + token: string, + download_url: string, + urlIdx: string | null = null +) => { + let error = null; + + const res = await fetch( + `${OLLAMA_API_BASE_URL}/models/download${urlIdx !== null ? `/${urlIdx}` : ''}`, + { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + url: download_url + }) + } + ).catch((err) => { + console.log(err); + error = err; + + if ('detail' in err) { + error = err.detail; + } + + return null; + }); + if (error) { + throw error; + } + return res; +}; + +export const uploadModel = async (token: string, file: File, urlIdx: string | null = null) => { + let error = null; + + const formData = new FormData(); + formData.append('file', file); + + const res = await fetch( + `${OLLAMA_API_BASE_URL}/models/upload${urlIdx !== null ? `/${urlIdx}` : ''}`, + { + method: 'POST', + headers: { + Authorization: `Bearer ${token}` + }, + body: formData + } + ).catch((err) => { + console.log(err); + error = err; + + if ('detail' in err) { + error = err.detail; + } + + return null; + }); + if (error) { + throw error; + } + return res; +}; + +// export const pullModel = async (token: string, tagName: string) => { +// return await fetch(`${OLLAMA_API_BASE_URL}/pull`, { +// method: 'POST', +// headers: { +// 'Content-Type': 'text/event-stream', +// Authorization: `Bearer ${token}` +// }, +// body: JSON.stringify({ +// name: tagName +// }) +// }); +// }; diff --git a/src/lib/apis/openai/index.ts b/src/lib/apis/openai/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..2bb11d12a74e48933536509d9fb16800d2efc53b --- /dev/null +++ b/src/lib/apis/openai/index.ts @@ -0,0 +1,330 @@ +import { OPENAI_API_BASE_URL } from '$lib/constants'; + +export const getOpenAIConfig = async (token: string = '') => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/config`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateOpenAIConfig = async (token: string = '', enable_openai_api: boolean) => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/config/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + enable_openai_api: enable_openai_api + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getOpenAIUrls = async (token: string = '') => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/urls`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res.OPENAI_API_BASE_URLS; +}; + +export const updateOpenAIUrls = async (token: string = '', urls: string[]) => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/urls/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + urls: urls + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res.OPENAI_API_BASE_URLS; +}; + +export const getOpenAIKeys = async (token: string = '') => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/keys`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res.OPENAI_API_KEYS; +}; + +export const updateOpenAIKeys = async (token: string = '', keys: string[]) => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/keys/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + }, + body: JSON.stringify({ + keys: keys + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + if ('detail' in err) { + error = err.detail; + } else { + error = 'Server connection failed'; + } + return null; + }); + + if (error) { + throw error; + } + + return res.OPENAI_API_KEYS; +}; + +export const getOpenAIModels = async (token: string, urlIdx?: number) => { + let error = null; + + const res = await fetch( + `${OPENAI_API_BASE_URL}/models${typeof urlIdx === 'number' ? `/${urlIdx}` : ''}`, + { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + ...(token && { authorization: `Bearer ${token}` }) + } + } + ) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`; + return []; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getOpenAIModelsDirect = async ( + base_url: string = 'https://api.openai.com/v1', + api_key: string = '' +) => { + let error = null; + + const res = await fetch(`${base_url}/models`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${api_key}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = `OpenAI: ${err?.error?.message ?? 'Network Problem'}`; + return null; + }); + + if (error) { + throw error; + } + + const models = Array.isArray(res) ? res : (res?.data ?? null); + + return models + .map((model) => ({ id: model.id, name: model.name ?? model.id, external: true })) + .filter((model) => (base_url.includes('openai') ? model.name.includes('gpt') : true)) + .sort((a, b) => { + return a.name.localeCompare(b.name); + }); +}; + +export const generateOpenAIChatCompletion = async ( + token: string = '', + body: object, + url: string = OPENAI_API_BASE_URL +): Promise<[Response | null, AbortController]> => { + const controller = new AbortController(); + let error = null; + + const res = await fetch(`${url}/chat/completions`, { + signal: controller.signal, + method: 'POST', + headers: { + Authorization: `Bearer ${token}`, + 'Content-Type': 'application/json' + }, + body: JSON.stringify(body) + }).catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return [res, controller]; +}; + +export const synthesizeOpenAISpeech = async ( + token: string = '', + speaker: string = 'alloy', + text: string = '', + model: string = 'tts-1' +) => { + let error = null; + + const res = await fetch(`${OPENAI_API_BASE_URL}/audio/speech`, { + method: 'POST', + headers: { + Authorization: `Bearer ${token}`, + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + model: model, + input: text, + voice: speaker + }) + }).catch((err) => { + console.log(err); + error = err; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/prompts/index.ts b/src/lib/apis/prompts/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..ca9c7d543d7815340a667b74dc1b258f3ff496f8 --- /dev/null +++ b/src/lib/apis/prompts/index.ts @@ -0,0 +1,178 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const createNewPrompt = async ( + token: string, + command: string, + title: string, + content: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/prompts/create`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + command: `/${command}`, + title: title, + content: content + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getPrompts = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/prompts/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getPromptByCommand = async (token: string, command: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/prompts/command/${command}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updatePromptByCommand = async ( + token: string, + command: string, + title: string, + content: string +) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/prompts/command/${command}/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + command: `/${command}`, + title: title, + content: content + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deletePromptByCommand = async (token: string, command: string) => { + let error = null; + + command = command.charAt(0) === '/' ? command.slice(1) : command; + + const res = await fetch(`${WEBUI_API_BASE_URL}/prompts/command/${command}/delete`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/retrieval/index.ts b/src/lib/apis/retrieval/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..6c6b18b9fd6d97a569008bd0d5b8e8b27d9a9504 --- /dev/null +++ b/src/lib/apis/retrieval/index.ts @@ -0,0 +1,567 @@ +import { RETRIEVAL_API_BASE_URL } from '$lib/constants'; + +export const getRAGConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/config`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type ChunkConfigForm = { + chunk_size: number; + chunk_overlap: number; +}; + +type ContentExtractConfigForm = { + engine: string; + tika_server_url: string | null; +}; + +type YoutubeConfigForm = { + language: string[]; + translation?: string | null; +}; + +type RAGConfigForm = { + pdf_extract_images?: boolean; + chunk?: ChunkConfigForm; + content_extraction?: ContentExtractConfigForm; + web_loader_ssl_verification?: boolean; + youtube?: YoutubeConfigForm; +}; + +export const updateRAGConfig = async (token: string, payload: RAGConfigForm) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/config/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...payload + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getRAGTemplate = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/template`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res?.template ?? ''; +}; + +export const getQuerySettings = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/query/settings`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type QuerySettings = { + k: number | null; + r: number | null; + template: string | null; +}; + +export const updateQuerySettings = async (token: string, settings: QuerySettings) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/query/settings/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...settings + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getEmbeddingConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/embedding`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type OpenAIConfigForm = { + key: string; + url: string; +}; + +type EmbeddingModelUpdateForm = { + openai_config?: OpenAIConfigForm; + embedding_engine: string; + embedding_model: string; + embedding_batch_size?: number; +}; + +export const updateEmbeddingConfig = async (token: string, payload: EmbeddingModelUpdateForm) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/embedding/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...payload + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getRerankingConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/reranking`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type RerankingModelUpdateForm = { + reranking_model: string; +}; + +export const updateRerankingConfig = async (token: string, payload: RerankingModelUpdateForm) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/reranking/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...payload + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export interface SearchDocument { + status: boolean; + collection_name: string; + filenames: string[]; +} + +export const processFile = async ( + token: string, + file_id: string, + collection_name: string | null = null +) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/process/file`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + file_id: file_id, + collection_name: collection_name ? collection_name : undefined + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const processYoutubeVideo = async (token: string, url: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/process/youtube`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + url: url + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const processWeb = async (token: string, collection_name: string, url: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/process/web`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + url: url, + collection_name: collection_name + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const processWebSearch = async ( + token: string, + query: string, + collection_name?: string +): Promise => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/process/web/search`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + query, + collection_name: collection_name ?? '' + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const queryDoc = async ( + token: string, + collection_name: string, + query: string, + k: number | null = null +) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/query/doc`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + collection_name: collection_name, + query: query, + k: k + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const queryCollection = async ( + token: string, + collection_names: string, + query: string, + k: number | null = null +) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/query/collection`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + collection_names: collection_names, + query: query, + k: k + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const resetUploadDir = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/reset/uploads`, { + method: 'POST', + headers: { + Accept: 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const resetVectorDB = async (token: string) => { + let error = null; + + const res = await fetch(`${RETRIEVAL_API_BASE_URL}/reset/db`, { + method: 'POST', + headers: { + Accept: 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/streaming/index.ts b/src/lib/apis/streaming/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..a8249abe090943c51217a769953ec906aa784ba7 --- /dev/null +++ b/src/lib/apis/streaming/index.ts @@ -0,0 +1,124 @@ +import { EventSourceParserStream } from 'eventsource-parser/stream'; +import type { ParsedEvent } from 'eventsource-parser'; + +type TextStreamUpdate = { + done: boolean; + value: string; + // eslint-disable-next-line @typescript-eslint/no-explicit-any + citations?: any; + // eslint-disable-next-line @typescript-eslint/no-explicit-any + selectedModelId?: any; + error?: any; + usage?: ResponseUsage; +}; + +type ResponseUsage = { + /** Including images and tools if any */ + prompt_tokens: number; + /** The tokens generated */ + completion_tokens: number; + /** Sum of the above two fields */ + total_tokens: number; + /** Any other fields that aren't part of the base OpenAI spec */ + [other: string]: unknown; +}; + +// createOpenAITextStream takes a responseBody with a SSE response, +// and returns an async generator that emits delta updates with large deltas chunked into random sized chunks +export async function createOpenAITextStream( + responseBody: ReadableStream, + splitLargeDeltas: boolean +): Promise> { + const eventStream = responseBody + .pipeThrough(new TextDecoderStream()) + .pipeThrough(new EventSourceParserStream()) + .getReader(); + let iterator = openAIStreamToIterator(eventStream); + if (splitLargeDeltas) { + iterator = streamLargeDeltasAsRandomChunks(iterator); + } + return iterator; +} + +async function* openAIStreamToIterator( + reader: ReadableStreamDefaultReader +): AsyncGenerator { + while (true) { + const { value, done } = await reader.read(); + if (done) { + yield { done: true, value: '' }; + break; + } + if (!value) { + continue; + } + const data = value.data; + if (data.startsWith('[DONE]')) { + yield { done: true, value: '' }; + break; + } + + try { + const parsedData = JSON.parse(data); + console.log(parsedData); + + if (parsedData.error) { + yield { done: true, value: '', error: parsedData.error }; + break; + } + + if (parsedData.citations) { + yield { done: false, value: '', citations: parsedData.citations }; + continue; + } + + if (parsedData.selected_model_id) { + yield { done: false, value: '', selectedModelId: parsedData.selected_model_id }; + continue; + } + + yield { + done: false, + value: parsedData.choices?.[0]?.delta?.content ?? '', + usage: parsedData.usage + }; + } catch (e) { + console.error('Error extracting delta from SSE event:', e); + } + } +} + +// streamLargeDeltasAsRandomChunks will chunk large deltas (length > 5) into random sized chunks between 1-3 characters +// This is to simulate a more fluid streaming, even though some providers may send large chunks of text at once +async function* streamLargeDeltasAsRandomChunks( + iterator: AsyncGenerator +): AsyncGenerator { + for await (const textStreamUpdate of iterator) { + if (textStreamUpdate.done) { + yield textStreamUpdate; + return; + } + if (textStreamUpdate.citations) { + yield textStreamUpdate; + continue; + } + let content = textStreamUpdate.value; + if (content.length < 5) { + yield { done: false, value: content }; + continue; + } + while (content != '') { + const chunkSize = Math.min(Math.floor(Math.random() * 3) + 1, content.length); + const chunk = content.slice(0, chunkSize); + yield { done: false, value: chunk }; + // Do not sleep if the tab is hidden + // Timers are throttled to 1s in hidden tabs + if (document?.visibilityState !== 'hidden') { + await sleep(5); + } + content = content.slice(chunkSize); + } + } +} + +const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); diff --git a/src/lib/apis/tools/index.ts b/src/lib/apis/tools/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..28e8dde86cff79fd0b1b496a4992f22d366c39f5 --- /dev/null +++ b/src/lib/apis/tools/index.ts @@ -0,0 +1,391 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const createNewTool = async (token: string, tool: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/create`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...tool + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getTools = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const exportTools = async (token: string = '') => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/export`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getToolById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateToolById = async (token: string, id: string, tool: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...tool + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const deleteToolById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/delete`, { + method: 'DELETE', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getToolValvesById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/valves`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getToolValvesSpecById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/valves/spec`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateToolValvesById = async (token: string, id: string, valves: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/valves/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...valves + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUserValvesById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/valves/user`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUserValvesSpecById = async (token: string, id: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/valves/user/spec`, { + method: 'GET', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserValvesById = async (token: string, id: string, valves: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/tools/id/${id}/valves/user/update`, { + method: 'POST', + headers: { + Accept: 'application/json', + 'Content-Type': 'application/json', + authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...valves + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .then((json) => { + return json; + }) + .catch((err) => { + error = err.detail; + + console.log(err); + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/users/index.ts b/src/lib/apis/users/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..0b22b7171569eafff1b67a664efb6cfffe2c0968 --- /dev/null +++ b/src/lib/apis/users/index.ts @@ -0,0 +1,336 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; +import { getUserPosition } from '$lib/utils'; + +export const getUserPermissions = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/permissions/user`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserPermissions = async (token: string, permissions: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/permissions/user`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...permissions + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserRole = async (token: string, id: string, role: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/update/role`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + id: id, + role: role + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUsers = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res ? res : []; +}; + +export const getUserSettings = async (token: string) => { + let error = null; + const res = await fetch(`${WEBUI_API_BASE_URL}/users/user/settings`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserSettings = async (token: string, settings: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/user/settings/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...settings + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUserById = async (token: string, userId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/${userId}`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getUserInfo = async (token: string) => { + let error = null; + const res = await fetch(`${WEBUI_API_BASE_URL}/users/user/info`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const updateUserInfo = async (token: string, info: object) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/user/info/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + ...info + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const getAndUpdateUserLocation = async (token: string) => { + const location = await getUserPosition().catch((err) => { + throw err; + }); + + if (location) { + await updateUserInfo(token, { location: location }); + return location; + } else { + throw new Error('Failed to get user location'); + } +}; + +export const deleteUserById = async (token: string, userId: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/${userId}`, { + method: 'DELETE', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +type UserUpdateForm = { + profile_image_url: string; + email: string; + name: string; + password: string; +}; + +export const updateUserById = async (token: string, userId: string, user: UserUpdateForm) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/users/${userId}/update`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + profile_image_url: user.profile_image_url, + email: user.email, + name: user.name, + password: user.password !== '' ? user.password : undefined + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } + + return res; +}; diff --git a/src/lib/apis/utils/index.ts b/src/lib/apis/utils/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..40fdbfcfa22519f699ab525d3649274b1e6dc0ed --- /dev/null +++ b/src/lib/apis/utils/index.ts @@ -0,0 +1,179 @@ +import { WEBUI_API_BASE_URL } from '$lib/constants'; + +export const getGravatarUrl = async (email: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/utils/gravatar?email=${email}`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json' + } + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + return res; +}; + +export const formatPythonCode = async (code: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/utils/code/format`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + code: code + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + + error = err; + if (err.detail) { + error = err.detail; + } + return null; + }); + + if (error) { + throw error; + } + + return res; +}; + +export const downloadChatAsPDF = async (title: string, messages: object[]) => { + let error = null; + + const blob = await fetch(`${WEBUI_API_BASE_URL}/utils/pdf`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + title: title, + messages: messages + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.blob(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + return blob; +}; + +export const getHTMLFromMarkdown = async (md: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/utils/markdown`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + md: md + }) + }) + .then(async (res) => { + if (!res.ok) throw await res.json(); + return res.json(); + }) + .catch((err) => { + console.log(err); + error = err; + return null; + }); + + return res.html; +}; + +export const downloadDatabase = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/utils/db/download`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (response) => { + if (!response.ok) { + throw await response.json(); + } + return response.blob(); + }) + .then((blob) => { + const url = window.URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = 'webui.db'; + document.body.appendChild(a); + a.click(); + window.URL.revokeObjectURL(url); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } +}; + +export const downloadLiteLLMConfig = async (token: string) => { + let error = null; + + const res = await fetch(`${WEBUI_API_BASE_URL}/utils/litellm/config`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then(async (response) => { + if (!response.ok) { + throw await response.json(); + } + return response.blob(); + }) + .then((blob) => { + const url = window.URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = 'config.yaml'; + document.body.appendChild(a); + a.click(); + window.URL.revokeObjectURL(url); + }) + .catch((err) => { + console.log(err); + error = err.detail; + return null; + }); + + if (error) { + throw error; + } +}; diff --git a/src/lib/components/AddFilesPlaceholder.svelte b/src/lib/components/AddFilesPlaceholder.svelte new file mode 100644 index 0000000000000000000000000000000000000000..d3d700795552bf2b75983f7973d72ec6a7798c7e --- /dev/null +++ b/src/lib/components/AddFilesPlaceholder.svelte @@ -0,0 +1,28 @@ + + +
        +
        📄
        +
        + {#if title} + {title} + {:else} + {$i18n.t('Add Files')} + {/if} +
        + +
        + {#if content} + {content} + {:else} + {$i18n.t('Drop any files here to add to the conversation')} + {/if} +
        +         +
        diff --git a/src/lib/components/ChangelogModal.svelte b/src/lib/components/ChangelogModal.svelte new file mode 100644 index 0000000000000000000000000000000000000000..9002b9100a55cd8447a71c7a950d7c5f3ae5cf9a --- /dev/null +++ b/src/lib/components/ChangelogModal.svelte @@ -0,0 +1,120 @@ + + + +
        +
        +
        + {$i18n.t('What’s New in')} + {$WEBUI_NAME} + +
        + +
        +
        +
        {$i18n.t('Release Notes')}
        +
        +
        + v{WEBUI_VERSION} +
        +
        +
        + +
        +
        +
        + {#if changelog} + {#each Object.keys(changelog) as version} +
        +
        + v{version} - {changelog[version].date} +
        + +
        + + {#each Object.keys(changelog[version]).filter((section) => section !== 'date') as section} +
        +
        + {section} +
        + +
        + {#each Object.keys(changelog[version][section]) as item} +
        +
        + {changelog[version][section][item].title} +
        +
        {changelog[version][section][item].content}
        +
        + {/each} +
        +
        + {/each} +
        + {/each} + {/if} +
        +
        +
        + +
        +
        + diff --git a/src/lib/components/admin/AddUserModal.svelte b/src/lib/components/admin/AddUserModal.svelte new file mode 100644 index 0000000000000000000000000000000000000000..eea77fce53f0781193e14e602bed6515e2d22487 --- /dev/null +++ b/src/lib/components/admin/AddUserModal.svelte @@ -0,0 +1,338 @@ + + + +
        +
        +
        {$i18n.t('Add User')}
        + +
        + +
        +
        +
        { + submitHandler(); + }} + > +
        + + + +
        +
        + {#if tab === ''} +
        +
        {$i18n.t('Role')}
        + +
        + +
        +
        + +
        +
        {$i18n.t('Name')}
        + +
        + +
        +
        + +
        + +
        +
        {$i18n.t('Email')}
        + +
        + +
        +
        + +
        +
        {$i18n.t('Password')}
        + +
        + +
        +
        + {:else if tab === 'import'} +
        +
        + + + +
        + +
        + ⓘ {$i18n.t( + 'Ensure your CSV file includes 4 columns in this order: Name, Email, Password, Role.' + )} + + {$i18n.t('Click here to download user import template file.')} + +
        +
        + {/if} +
        + +
        + +
        +
        +
        +
        +
        +         + + diff --git a/src/lib/components/admin/EditUserModal.svelte b/src/lib/components/admin/EditUserModal.svelte new file mode 100644 index 0000000000000000000000000000000000000000..dcaff95b662a8c307515bb9ec274d4515a8d24e7 --- /dev/null +++ b/src/lib/components/admin/EditUserModal.svelte @@ -0,0 +1,174 @@ + + + +
        +
        +
        {$i18n.t('Edit User')}
        + +
        +
        + +
        +
        +
        { + submitHandler(); + }} + > +
        +
        + User profile +
        + +
        +
        {selectedUser.name}
        + +
        + {$i18n.t('Created at')} + {dayjs(selectedUser.created_at * 1000).format($i18n.t('MMMM DD, YYYY'))} +
        +
        +
        + +
        + +
        +
        +
        {$i18n.t('Email')}
        + +
        + +
        +
        + +
        +
        {$i18n.t('Name')}
        + +
        + +
        +
        + +
        +
        {$i18n.t('New Password')}
        + +
        + +
        +
        +
        + +
        + +
        +
        +
        +
        +
        +         + + diff --git a/src/lib/components/admin/Evaluations.svelte b/src/lib/components/admin/Evaluations.svelte new file mode 100644 index 0000000000000000000000000000000000000000..4632238f0cb68486e1018dc30289cf02300e66ea --- /dev/null +++ b/src/lib/components/admin/Evaluations.svelte @@ -0,0 +1,677 @@ + + +{#if loaded} +
        +
        +
        + {$i18n.t('Leaderboard')} +
        + +
        + + {rankedModels.length} +
        + +
        + +
        +
        + +
        + { + loadEmbeddingModel(); + }} + /> +
        +         +
        +
        + +
        + {#if loadingLeaderboard} +
        +
        + +
        +
        + {/if} + {#if (rankedModels ?? []).length === 0} +
        + {$i18n.t('No models found')} +
        + {:else} + + + + + + + + + + + + {#each rankedModels as model, modelIdx (model.id)} + + + + + + + + + + {/each} + +
        + {$i18n.t('RK')} + + {$i18n.t('Model')} + + {$i18n.t('Rating')} + + {$i18n.t('Won')} + + {$i18n.t('Lost')} +
        +
        + {model?.rating !== '-' ? modelIdx + 1 : '-'} +
        +         		+
        +
        + {model.name} +
        + +
        + {model.name} +
        +
        +         		+ {model.rating} + +
        + {#if model.stats.won === '-'} + - + {:else} + + {model.stats.won} + {/if} +
        +         		+
        + {#if model.stats.lost === '-'} + - + {:else} + + {model.stats.lost} + {/if} +
        +
        + {/if} +
        + +
        +
        +
        + ⓘ {$i18n.t( + 'The evaluation leaderboard is based on the Elo rating system and is updated in real-time.' + )} +
        + {$i18n.t( + 'The leaderboard is currently in beta, and we may adjust the rating calculations as we refine the algorithm.' + )} +
        +
        + +
        + +
        +
        + {$i18n.t('Feedback History')} + +
        + + {feedbacks.length} +
        + +
        +
        + + + +
        +
        +
        + +
        + {#if (feedbacks ?? []).length === 0} +
        + {$i18n.t('No feedbacks found')} +
        + {:else} + + + + + + + + + + + + + + + + {#each paginatedFeedbacks as feedback (feedback.id)} + + + + + + + + + + + {/each} + +
        + {$i18n.t('User')} + + {$i18n.t('Models')} + + {$i18n.t('Result')} + + {$i18n.t('Updated At')} +
        +
        + +
        + {feedback?.user?.name} +
        +         +
        +         		+
        +
        + {#if feedback.data?.sibling_model_ids} +
        + {feedback.data?.model_id} +
        + + +
        + {#if feedback.data.sibling_model_ids.length > 2} + + {feedback.data.sibling_model_ids.slice(0, 2).join(', ')}, {$i18n.t( + 'and {{COUNT}} more', + { COUNT: feedback.data.sibling_model_ids.length - 2 } + )} + {:else} + {feedback.data.sibling_model_ids.join(', ')} + {/if} +
        +         + {:else} +
        + {feedback.data?.model_id} +
        + {/if} +
        +
        +         		+
        + {#if feedback.data.rating.toString() === '1'} + + {:else if feedback.data.rating.toString() === '0'} + + {:else if feedback.data.rating.toString() === '-1'} + + {/if} +
        +         		+ {dayjs(feedback.updated_at * 1000).fromNow()} + + { + deleteFeedbackHandler(feedback.id); + }} + > + + +
        + {/if} +
        + + {#if feedbacks.length > 0} +
        +
        + {$i18n.t('Help us create the best community leaderboard by sharing your feedback history!')} +
        + +
        + + + +
        +
        + {/if} + + {#if feedbacks.length > 10} + + {/if} + +
        +{/if} diff --git a/src/lib/components/admin/Evaluations/FeedbackMenu.svelte b/src/lib/components/admin/Evaluations/FeedbackMenu.svelte new file mode 100644 index 0000000000000000000000000000000000000000..83defd8043fe247daabc4683c3fe4f23e72f1ae2 --- /dev/null +++ b/src/lib/components/admin/Evaluations/FeedbackMenu.svelte @@ -0,0 +1,46 @@ + + + {}}> + + + + +
        + + { + dispatch('delete'); + show = false; + }} + > + +
        {$i18n.t('Delete')}
        +         +         +
        +         diff --git a/src/lib/components/admin/Settings.svelte b/src/lib/components/admin/Settings.svelte new file mode 100644 index 0000000000000000000000000000000000000000..7e1e489b1583e2074b2ff7e43af2c03ff8562085 --- /dev/null +++ b/src/lib/components/admin/Settings.svelte @@ -0,0 +1,430 @@ + + +
        +
        + + + + + + + + + + + + + + + + + + + + + + + +
        + +
        + {#if selectedTab === 'general'} + { + toast.success($i18n.t('Settings saved successfully!')); + + await tick(); + await config.set(await getBackendConfig()); + }} + /> + {:else if selectedTab === 'users'} + { + toast.success($i18n.t('Settings saved successfully!')); + }} + /> + {:else if selectedTab === 'connections'} + { + toast.success($i18n.t('Settings saved successfully!')); + }} + /> + {:else if selectedTab === 'models'} + + {:else if selectedTab === 'evaluations'} + + {:else if selectedTab === 'documents'} + { + toast.success($i18n.t('Settings saved successfully!')); + + await tick(); + await config.set(await getBackendConfig()); + }} + /> + {:else if selectedTab === 'web'} + { + toast.success($i18n.t('Settings saved successfully!')); + + await tick(); + await config.set(await getBackendConfig()); + }} + /> + {:else if selectedTab === 'interface'} + { + toast.success($i18n.t('Settings saved successfully!')); + }} + /> + {:else if selectedTab === 'audio'} +
        +
        diff --git a/src/lib/components/admin/Settings/Audio.svelte b/src/lib/components/admin/Settings/Audio.svelte new file mode 100644 index 0000000000000000000000000000000000000000..ae827e6abbd123b731c880a93ed91d9b58605616 --- /dev/null +++ b/src/lib/components/admin/Settings/Audio.svelte @@ -0,0 +1,560 @@ + + +
        { + await updateConfigHandler(); + dispatch('save'); + }} +> +
        +
        +
        +
        {$i18n.t('STT Settings')}
        + +
        +
        {$i18n.t('Speech-to-Text Engine')}
        +
        + +
        +
        + + {#if STT_ENGINE === 'openai'} +
        +
        + + + +
        +
        + +
        + +
        +
        {$i18n.t('STT Model')}
        +
        +
        + + + + +
        +
        +
        + {:else if STT_ENGINE === ''} +
        +
        {$i18n.t('STT Model')}
        + +
        +
        + +
        + + +
        + +
        + {$i18n.t(`Open WebUI uses faster-whisper internally.`)} + + + {$i18n.t( + `Click here to learn more about faster-whisper and see the available models.` + )} + +
        +
        + {/if} +
        + +
        + +
        +
        {$i18n.t('TTS Settings')}
        + +
        +
        {$i18n.t('Text-to-Speech Engine')}
        +
        + +
        +
        + + {#if TTS_ENGINE === 'openai'} +
        +
        + + + +
        +
        + {:else if TTS_ENGINE === 'elevenlabs'} +
        +
        + +
        +
        + {:else if TTS_ENGINE === 'azure'} +
        +
        + + +
        +
        + {/if} + +
        + + {#if TTS_ENGINE === ''} +
        +
        {$i18n.t('TTS Voice')}
        +
        +
        + +
        +
        +
        + {:else if TTS_ENGINE === 'openai'} +
        +
        +
        {$i18n.t('TTS Voice')}
        +
        +
        + + + + {#each voices as voice} + + {/each} + +
        +
        +
        +
        +
        {$i18n.t('TTS Model')}
        +
        +
        + + + + {#each models as model} + +
        +
        +
        +
        + {:else if TTS_ENGINE === 'elevenlabs'} +
        +
        +
        {$i18n.t('TTS Voice')}
        +
        +
        + + + + {#each voices as voice} + + {/each} + +
        +
        +
        +
        +
        {$i18n.t('TTS Model')}
        +
        +
        + + + + {#each models as model} + +
        +
        +
        +
        + {:else if TTS_ENGINE === 'azure'} +
        +
        +
        {$i18n.t('TTS Voice')}
        +
        +
        + + + + {#each voices as voice} + + {/each} + +
        +
        +
        +
        +
        + {$i18n.t('Output format')} + + {$i18n.t('Available list')} + +
        +
        +
        + +
        +
        +
        +
        + {/if} + +
        + +
        +
        {$i18n.t('Response splitting')}
        +
        + +
        +
        +
        + {$i18n.t( + "Control how message text is split for TTS requests. 'Punctuation' splits into sentences, 'paragraphs' splits into paragraphs, and 'none' keeps the message as a single string." + )} +
        +
        +
        +
        +
        + +
        +
        diff --git a/src/lib/components/admin/Settings/Connections.svelte b/src/lib/components/admin/Settings/Connections.svelte new file mode 100644 index 0000000000000000000000000000000000000000..292d22993e82a473385480d0209ef5fede2de5ab --- /dev/null +++ b/src/lib/components/admin/Settings/Connections.svelte @@ -0,0 +1,448 @@ + + +
        { + updateOpenAIHandler(); + updateOllamaUrlsHandler(); + + dispatch('save'); + }} +> +
        + {#if ENABLE_OPENAI_API !== null && ENABLE_OLLAMA_API !== null} +
        +
        +
        +
        {$i18n.t('OpenAI API')}
        + +
        + { + updateOpenAIConfig(localStorage.token, ENABLE_OPENAI_API); + }} + /> +
        +
        + + {#if ENABLE_OPENAI_API} +
        + {#each OPENAI_API_BASE_URLS as url, idx} +
        +
        + + + {#if pipelineUrls[url]} +
        + + + + + + + +
        + {/if} +
        + + +
        + {#if idx === 0} + + {:else} + + {/if} +
        + +
        + + + +
        +
        +
        + {$i18n.t('WebUI will make requests to')} + '{url}/models' +
        + {/each} +
        + {/if} +
        +
        + +
        + +
        +
        +
        {$i18n.t('Ollama API')}
        + +
        + { + updateOllamaConfig(localStorage.token, ENABLE_OLLAMA_API); + + if (OLLAMA_BASE_URLS.length === 0) { + OLLAMA_BASE_URLS = ['']; + } + }} + /> +
        +
        + {#if ENABLE_OLLAMA_API} +
        +
        + {#each OLLAMA_BASE_URLS as url, idx} +
        + + +
        + {#if idx === 0} + + {:else} + + {/if} +
        + +
        + + + +
        +
        + {/each} +
        +
        + +
        + {$i18n.t('Trouble accessing Ollama?')} + + {$i18n.t('Click here for help.')} + +
        + {/if} +
        + {:else} +
        +
        + +
        +
        + {/if} +
        + +
        + +
        +
        diff --git a/src/lib/components/admin/Settings/Database.svelte b/src/lib/components/admin/Settings/Database.svelte new file mode 100644 index 0000000000000000000000000000000000000000..3c376cb80e149e917756326a4b50b0f81a994ab7 --- /dev/null +++ b/src/lib/components/admin/Settings/Database.svelte @@ -0,0 +1,227 @@ + + +
        { + saveHandler(); + }} +> +
        +
        +
        {$i18n.t('Database')}
        + + { + const file = e.target.files[0]; + const reader = new FileReader(); + + reader.onload = async (e) => { + const res = await importConfig(localStorage.token, JSON.parse(e.target.result)).catch( + (error) => { + toast.error(error); + } + ); + + if (res) { + toast.success('Config imported successfully'); + } + e.target.value = null; + }; + + reader.readAsText(file); + }} + /> + + + + + +
        + + {#if $config?.features.enable_admin_export ?? true} +
        + + + +
        + + + {/if} + +
        + + +
        +
        + + +
        diff --git a/src/lib/components/admin/Settings/Documents.svelte b/src/lib/components/admin/Settings/Documents.svelte new file mode 100644 index 0000000000000000000000000000000000000000..39e83badce162078158402cb3704353605fadafb --- /dev/null +++ b/src/lib/components/admin/Settings/Documents.svelte @@ -0,0 +1,823 @@ + + + { + const res = await deleteAllFiles(localStorage.token).catch((error) => { + toast.error(error); + return null; + }); + + if (res) { + toast.success($i18n.t('Success')); + } + }} +/> + + { + const res = resetVectorDB(localStorage.token).catch((error) => { + toast.error(error); + return null; + }); + + if (res) { + toast.success($i18n.t('Success')); + } + }} +/> + +
        { + submitHandler(); + }} +> +
        +
        +
        {$i18n.t('General Settings')}
        + +
        +
        {$i18n.t('Embedding Model Engine')}
        +
        + +
        +
        + + {#if embeddingEngine === 'openai'} +
        + + + +
        + {/if} + {#if embeddingEngine === 'ollama' || embeddingEngine === 'openai'} +
        +
        {$i18n.t('Embedding Batch Size')}
        +
        + +
        +
        + +
        +
        + {/if} + +
        +
        {$i18n.t('Hybrid Search')}
        + + +
        +
        + +
        + +
        +
        +
        {$i18n.t('Embedding Model')}
        + + {#if embeddingEngine === 'ollama'} +
        +
        + +
        +
        + {:else} +
        +
        + +
        + + {#if embeddingEngine === ''} + + {/if} +
        + {/if} + +
        + {$i18n.t( + 'Warning: If you update or change your embedding model, you will need to re-import all documents.' + )} +
        + + {#if querySettings.hybrid === true} +
        +
        {$i18n.t('Reranking Model')}
        + +
        +
        + +
        + +
        +
        + {/if} +
        + +
        + +
        +
        {$i18n.t('Content Extraction')}
        + +
        +
        {$i18n.t('Engine')}
        +
        + +
        +
        + + {#if showTikaServerUrl} +
        +
        + +
        +
        + {/if} +
        + +
        + +
        +
        {$i18n.t('Query Params')}
        + +
        +
        +
        {$i18n.t('Top K')}
        + +
        + +
        +
        + + {#if querySettings.hybrid === true} +
        +
        + {$i18n.t('Minimum Score')} +
        + +
        + +
        +
        + {/if} +
        + + {#if querySettings.hybrid === true} +
        + {$i18n.t( + 'Note: If you set a minimum score, the search will only return documents with a score greater than or equal to the minimum score.' + )} +
        + {/if} + +
        +
        {$i18n.t('RAG Template')}
        + +