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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.
pip install llm-dialog-manager
Create a .env
file in your project root:
# 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
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()
python app.py
# open localhost:8000
https://github.com/user-attachments/assets/5f640029-24e6-44ea-a3a3-02eb3de0d4df
pytest tests/
git checkout -b feature/amazing-feature
)git commit -m 'Add amazing feature'
)git push origin feature/amazing-feature
)This project is licensed under the MIT License - see the LICENSE file for details.
For support, please open an issue in the GitHub repository or contact the maintainers.
FAQs
A Python package for managing LLM chat conversation history
We found that llm-dialog-manager demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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