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https://github.com/xihajun/llm_dialog_manager
We point our fingers at the moon to see the moon - the finger is merely a tool and should not constrain us.
https://github.com/xihajun/llm_dialog_manager
Last synced: about 2 months ago
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We point our fingers at the moon to see the moon - the finger is merely a tool and should not constrain us.
- Host: GitHub
- URL: https://github.com/xihajun/llm_dialog_manager
- Owner: xihajun
- License: mit
- Created: 2024-11-09T21:42:33.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-22T22:39:36.000Z (about 2 months ago)
- Last Synced: 2024-11-22T22:46:20.437Z (about 2 months ago)
- Language: HTML
- Homepage:
- Size: 25.4 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# LLM Dialog Manager
A Python package for managing AI chat conversation history with support for multiple LLM providers (OpenAI, Anthropic, Google, X.AI) and convenient conversation management features.
## Features
- Support for multiple AI providers:
- OpenAI (GPT-3.5, GPT-4)
- Anthropic (Claude)
- Google (Gemini)
- X.AI (Grok)
- Intelligent message role management (system, user, assistant)
- Conversation history tracking and validation
- Load balancing across multiple API keys
- Error handling and retry mechanisms
- Conversation saving and loading
- Memory management options
- Conversation search and indexing
- Rich conversation display options
## Installation
```bash
pip install llm-dialog-manager
```
## Quick Start
### Environment Variables
Create a `.env` file in your project root:
```bash
# OpenAI
OPENAI_API_KEY_1=your-key-1
OPENAI_API_BASE_1=https://api.openai.com/v1
# Anthropic
ANTHROPIC_API_KEY_1=your-anthropic-key
ANTHROPIC_API_BASE_1=https://api.anthropic.com
# Google
GEMINI_API_KEY=your-gemini-key
# X.AI
XAI_API_KEY=your-x-key
```
### Basic Usage
```python
from llm_dialog_manager import Agent
# Initialize an agent with a specific model
agent = Agent("claude-2.1", memory_enabled=True)
# Add messages and generate responses
agent.add_message("system", "You are a helpful assistant")
agent.add_message("user", "What is the capital of France?")
response = agent.generate_response()
# Save conversation
agent.save_conversation()
```
### Setup Debugging Console
```bash
python app.py
# open localhost:8000
```
https://github.com/user-attachments/assets/5f640029-24e6-44ea-a3a3-02eb3de0d4df
## Development
### Running Tests
```bash
pytest tests/
```
### Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## License
This project is licensed under the MIT License - see the LICENSE file for details.
## Support
For support, please open an issue in the GitHub repository or contact the maintainers.