https://github.com/strwdr/multi-agent-chat
A GUI tkinter-based application that allows two LLM models to have conversation with each other.
https://github.com/strwdr/multi-agent-chat
agents ai anthropic chatgpt conversational-bots gemini grok ollama openai
Last synced: 4 days ago
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A GUI tkinter-based application that allows two LLM models to have conversation with each other.
- Host: GitHub
- URL: https://github.com/strwdr/multi-agent-chat
- Owner: strwdr
- License: gpl-3.0
- Created: 2025-03-05T22:04:11.000Z (10 months ago)
- Default Branch: master
- Last Pushed: 2025-03-05T22:21:54.000Z (10 months ago)
- Last Synced: 2025-03-05T23:24:45.021Z (10 months ago)
- Topics: agents, ai, anthropic, chatgpt, conversational-bots, gemini, grok, ollama, openai
- Language: Python
- Homepage:
- Size: 64.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Multi Agent Chat
A GUI application that allows two AI models to have a conversation with each other, supporting Ollama, OpenAI, and Anthropic APIs.
## Features
- Support for multiple AI providers:
- Ollama (local or remote instances)
- OpenAI (GPT-3.5, GPT-4)
- Anthropic (Claude models)
- Grok (Twitter/X's AI model)
- Google Gemini (Pro and Flash models)
- Mix and match different AI providers for each agent
- Watch AI agents converse with each other
- Configure conversation parameters (initial prompt, number of turns, delay)
- Customize agent names for better readability
- Real-time message logging with a clean copy/paste conversation view
- View and manage conversation context for both agents
## Screenshoots
## Prerequisites
- Python 3.x
- For Ollama: Ollama installed and running (`ollama serve`)
- For OpenAI: Valid OpenAI API key
- For Anthropic: Valid Anthropic API key
- For Grok: Valid Grok API key
- For Gemini: Valid Google AI Studio API key
- Required Python packages (see requirements.txt)
## Installation
1. Clone this repository:
```bash
git clone https://github.com/yourusername/multi-agent-chat
cd multi-agent-chat
```
2. Install required packages:
```bash
pip install -r requirements.txt
```
3. Set up environment variables:
```bash
cp .env.example .env
```
Then edit the `.env` file to add your API keys and configure default settings.
4. If using Ollama, ensure it's running:
```bash
ollama serve
```
## Usage
1. Start the application:
```bash
python main.py
```
2. Configure API settings and select models for both agents:
- Choose API type (Ollama, OpenAI, or Anthropic)
- Enter API keys or Ollama address as needed
- Select models for each agent
3. Configure the conversation parameters:
- Initial prompt to start the conversation
- Maximum number of conversation turns
- Delay between turns
4. Click "Start Conversation" to begin
5. Watch as the two AI agents converse with each other
## Environment Variables
The application supports the following environment variables in the `.env` file:
- `OLLAMA_ADDRESS`: The address of your Ollama API (default: http://localhost:11434)
- `OPENAI_API_KEY`: Your OpenAI API key
- `ANTHROPIC_API_KEY`: Your Anthropic API key
- `GROK_API_KEY`: Your Grok API key
- `GEMINI_API_KEY`: Your Google Gemini API key
- `DEFAULT_API_TYPE1`: Default API type for Agent 1 (ollama, openai, anthropic, grok, or gemini)
- `DEFAULT_API_TYPE2`: Default API type for Agent 2 (ollama, openai, anthropic, grok, or gemini)
## Notes
- The application maintains conversation history for context-aware responses
- Each agent has its own conversation context that can be viewed separately
- The conversation will automatically stop after the specified number of turns
## License
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.