docs: update readme
Browse files- .env.sample β .env.example +3 -1
- README.md +32 -20
.env.sample β .env.example
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@@ -3,7 +3,6 @@ LOG_LEVEL=DEBUG
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AUTH_USERNAME=admin
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AUTH_PASSWORD=admin
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API_KEY="sk-admin=="
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BASE_URL="http://0.0.0.0:7860"
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# types: mongodb, embedded
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# SECURITY configurations
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SECURITY_SECRET_KEY="1234"
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SECURITY_ENABLED=false
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AUTH_USERNAME=admin
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AUTH_PASSWORD=admin
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BASE_URL="http://0.0.0.0:7860"
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# types: mongodb, embedded
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# SECURITY configurations
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SECURITY_SECRET_KEY="1234"
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SECURITY_ENABLED=false
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DEFAULT_USERNAME=admin
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API_KEY="sk-admin=="
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README.md
CHANGED
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@@ -23,12 +23,20 @@ A FastAPI based OpenAI compatible Chatbot API with Visualization.
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## π Features
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- OpenAI compatible API
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- Complete mock implementation with USE_MOCK_API environment variable
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- Secure API key generation with HMAC signatures and API key authentication
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- In-memory storage for chat history and plots for mock implementation
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- MongoDB storage for chat history and plots for production
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- Support for all major OpenAI API endpoints
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## π Endpoints
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git clone https://github.com/lokumai/openai-openapi-template.git
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```
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```bash
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uv sync
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```
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```bash
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docker compose -f docker/mongodb-docker-compose.yaml up -d
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```
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```bash
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./run.sh
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### π API Key Generation
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```bash
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./scripts/
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```
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API Key generated:
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Username: template
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API Key: sk-template-token
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API Key saved to api_key.txt
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```
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### π API Key Authentication
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```bash
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curl -X POST "http://localhost:
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-H "Authorization: Bearer sk-template-token" \
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-H "Content-Type: application/json" \
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-d '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Hello!"}]}'
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```
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## Embedded MongoDB for local machine development
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* `database_type` environment variable is set to `embedded`, the API will use embedded MongoDB for local machine development. Default is `mongodb`.
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* `mongodb_host` environment variable is set to `localhost`, the API will use localhost for MongoDB. Default is `localhost`.
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* `mongodb_database` environment variable is set to `openai_openapi_template`, the API will use openai_openapi_template for MongoDB. Default is `openai_openapi_template`.
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## Contributing
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When you make changes to the code, please run the following commands to ensure the code is running on your local machine and formatted and linted correctly.
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* Fork the repository
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git merge origin/main
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```
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* Validate the code is running on your local machine
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```bash
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uv run uvicorn app:app --reload
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gh pr create --base main --head feature/new-feature --title "Add new feature" --body "This PR adds a new feature to the project"
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```
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## Open Issue
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Mock Implementation:
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- [X] Implement Mock response for all endpoints
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## π Features
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- OpenAI compatible API
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- /v1/chat/completions
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- /v1/chat/completions/{completion_id}
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- /v1/chat/completions/{completion_id}/messages
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- /v1/chat/completions/{completion_id}/messages/{message_id}/plots
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- /v1/conversation
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- /v1/conversation/{completion_id}
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- Complete mock implementation with USE_MOCK_API environment variable
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- Secure API key generation with HMAC signatures and API key authentication
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- In-memory storage for chat history and plots for mock implementation
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- MongoDB storage for chat history and plots for production
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- Support for all major OpenAI API endpoints
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- Gradio UI for testing the chatbot : [http://127.0.0.1:7860/ui](http://127.0.0.1:7860/ui)
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## π Endpoints
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git clone https://github.com/lokumai/openai-openapi-template.git
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```
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2. Create a .env file in the root directory and add the following variables:
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```bash
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cp .env.example .env
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```
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* Set your own values for the variables in the .env file.
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3. Install dependencies:
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```bash
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uv sync
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```
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4. Start MongoDB:
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```bash
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docker compose -f docker/mongodb-docker-compose.yaml up -d
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```
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5. Run API and Gradio UI on your local machine:
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```bash
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./run.sh
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### π API Key Generation
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```bash
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./scripts/generate_api_key.sh <username> <secret_key>
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```
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* This will generate a API_KEY and save it to the api_key.txt file.
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```plaintext
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API Key generated:
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Username: template
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API Key: sk-template-token
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API Key saved to api_key.txt
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```
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## π Security Configuration
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There are various security configurations that can be set in the .env file for development and production environments.
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- `SECURITY_ENABLED=True` or `False`, If security is enabled, the API will require an API_KEY to be provided in the request header.
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- `SECURITY_DEFAULT_USERNAME=admin`, If security is disabled, the API will not require an API_KEY to be provided in the request header and will use this for current user.
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- `SECURITY_SECRET_KEY=your-secret-key-here`, This is the secret key for the API_KEY generation. It is used to generate and verify the API_KEY for the user.
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- `API_KEY`, If you want to use the Gradio UI, you can set the API_KEY in the .env file. GradioUI will use the API_KEY to make requests to the API. Especially `POST/chat/completions` endpoint.
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### π API Key Authentication
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```bash
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curl -X POST "http://localhost:7860/v1/chat/completions" \
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-H "Authorization: Bearer sk-template-token" \
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-H "Content-Type: application/json" \
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-d '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Hello!"}]}'
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```
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## πΎ Embedded MongoDB for local machine development
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* `database_type` environment variable is set to `embedded`, the API will use embedded MongoDB for local machine development. Default is `mongodb`.
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* `mongodb_host` environment variable is set to `localhost`, the API will use localhost for MongoDB. Default is `localhost`.
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* `mongodb_database` environment variable is set to `openai_openapi_template`, the API will use openai_openapi_template for MongoDB. Default is `openai_openapi_template`.
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## π€ Contributing Attention Please!!!
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When you make changes to the code, please run the following commands to ensure the code is running on your local machine and formatted and linted correctly.
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* Fork the repository
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git merge origin/main
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```
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* Validate the code is running on your local machine
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```bash
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uv run uvicorn app:app --reload
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gh pr create --base main --head feature/new-feature --title "Add new feature" --body "This PR adds a new feature to the project"
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```
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## Open Issue
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Mock Implementation:
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- [X] Implement Mock response for all endpoints
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