feat: Implement WeCom chatbot for partner requests#1
feat: Implement WeCom chatbot for partner requests#1google-labs-jules[bot] wants to merge 2 commits intomainfrom
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Implements a WeCom group chatbot that listens for messages, uses a large language model (LLM) to identify the user's intent to create a ride-hailing or commute partner request, and extracts the necessary information. The extracted information is then sent to a server endpoint to create the partner request. Key features: - Uses `aiohttp` to handle WeCom callbacks. - Integrates with `langchain` and `openai` to parse natural language messages. - Defines structured data models using Pydantic for ride-hailing and commute requests. - Uses environment variables for configuration. - Includes error handling and logging.
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Implements a WeCom group chatbot that listens for messages, uses a large language model (LLM) to identify the user's intent to create a ride-hailing or commute partner request, and extracts the necessary information.
The extracted information is then sent to a server endpoint to create the partner request.
Key features:
aiohttpto handle WeCom callbacks.langchainandopenaito parse natural language messages.PR created automatically by Jules for task 8615378805589541596