mdllama 4.2.5
A command-line interface for Ollama API
Requires Python: >=3.7

# mdllama

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A CLI tool that lets you chat with Ollama and OpenAI models right from your terminal, with built-in Markdown rendering and websearch functionalities.

## Features

- Chat with Ollama models from the terminal
- Built-in Markdown rendering
- Web-search functionality
- Extremely simple installation and removal (see below)

## Screenshots

### Chat Interface

![Chat](https://raw.githubusercontent.com/QinCai-rui/mdllama/refs/heads/main/assets/chat.png)

### Help

![Help](https://github.com/user-attachments/assets/bb080fe0-9e7b-4ba0-b9c8-f4fe1415082f)

## Interactive Commands

When using `mdllama run` for interactive chat, you have access to special commands:

See man(1) mdllama for details.

```bash
man 1 mdllama
```

## OpenAI and Provider Support

### Supported Providers

- **Ollama**: Local models running on your machine
- **OpenAI**: Official OpenAI API (GPT-3.5, GPT-4, etc.)
- **OpenAI-compatible**: Any API that follows OpenAI's format (I like Groq, so use it! https://groq.com)

### Setup Instructions

#### For Ollama (Default)

```bash
mdllama setup
# Or specify explicitly
mdllama setup --provider ollama
```

#### For OpenAI

```bash
mdllama setup --provider openai
# Will prompt for your OpenAI API key
```

#### For OpenAI-Compatible APIs

```bash
mdllama setup --provider openai --openai-api-base https://ai.hackclub.com
# Then provide your API key when prompted
```

### Usage Examples

```bash
# Use with OpenAI
mdllama chat --provider openai "Explain quantum computing"

# Use with specific model and provider
mdllama run --provider openai --model gpt-4

# Interactive session with streaming
mdllama run --provider openai --stream=true --render-markdown
```

## Live Demo

Configure the demo endpoint used by `mdllama` by running the setup flow and entering the API credentials below when prompted.

```bash
mdllama setup -p openai --openai-api-base https://ai.qincai.xyz
```

When prompted, provide the following values:

- API key: `sk-proxy-7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e`

After setup you can run the CLI as usual, for example:

```bash
mdllama run -p openai
```

> [!NOTE]
> Try asking the model to give you some markdown-formatted text, or test the web search features:
>
> - `Give me a markdown-formatted text about the history of AI.`
> - `search:Python 3.13` (web search)
> - `site:python.org` (fetch website content)
> - `websearch:What are the latest Python features?` (AI-powered search)

So, try it out and see how it works!

## Installation

### Install using package manager (recommended, supported method)

#### Debian/Ubuntu Installation

1. Add the PPA to your sources list:

   ```bash
   echo 'deb [trusted=yes] https://packages.qincai.xyz/debian stable main' | sudo tee /etc/apt/sources.list.d/qincai-ppa.list
   sudo apt update
   ```

2. Install mdllama:

   ```bash
   sudo apt install python3-mdllama
   ```

#### Fedora Installation

1. Download the latest RPM from:
   [https://packages.qincai.xyz/fedora/](https://packages.qincai.xyz/fedora/)

   Or, to install directly:

   ```bash
   sudo dnf install https://packages.qincai.xyz/fedora/mdllama-<version>.noarch.rpm
   ```

   Replace `<version>` with the latest version number.

2. (Optional, highly recommended) To enable as a repository for updates, create `/etc/yum.repos.d/qincai-ppa.repo`:

   ```ini
   [qincai-ppa]
   name=Raymont's Personal RPMs
   baseurl=https://packages.qincai.xyz/fedora/
   enabled=1
   metadata_expire=0
   gpgcheck=0
   ```

   Then install with:

   ```bash
   sudo dnf install mdllama
   ```

3, Install the `ollama` library from pip:

   ```bash
   pip install ollama
   ```

   You can also install it globally with:

   ```bash
   sudo pip install ollama
   ```

   > [!NOTE]
   > ~~The `ollama` library is not installed by default in the RPM package since there is no system `ollama` package avaliable (`python3-ollama`). You need to install it manually using pip in order to use `mdllama` with Ollama models.~~ This issue has been resolved by including a post-installation script for RPM packages that automatically installs the `ollama` library using pip.

---

### PyPI Installation (Cross-Platform)

Install via pip (recommended for Windows/macOS and Python virtual environments):

```bash
pip install mdllama
```

### Traditional Bash Script Installation (Linux)

> [!WARNING]
> This method of un-/installation is deprecated and shall be avoided
> Please use the `pip` method, or use DEB/RPM packages instead

To install **mdllama** using the traditional bash script, run:

```bash
bash <(curl -fsSL https://raw.githubusercontent.com/QinCai-rui/mdllama/refs/heads/main/install.sh)
```

To uninstall **mdllama**, run:

```bash
bash <(curl -fsSL https://raw.githubusercontent.com/QinCai-rui/mdllama/refs/heads/main/uninstall.sh)
```

## License

This project is licensed under the GNU General Public License v3.0. See the [LICENSE](LICENSE) file for details.

---