There are three technical points to focus on when configuring:
- API Key ManagementOpenAI keys need to be stored in apis.py as a list to support multiple key rotation to avoid limiting flow; TMDB tokens need to be stored separately in access_token.txt
- environmental dependency: core libraries such as langchain(≥0.0.338) and openai(1.7.1) must be installed, and it is recommended to use the Python virtual environment
- Request customization: Third-party LLM services can be accessed by modifying the BASE_URL variable, and official OpenAI endpoints are used by default.
Pay special attention to the key file path should be consistent with the parameters in run_tmdb.py, and the TMDB token needs to be registered for application first. Multi-key mechanism design can automatically disperse the request pressure, which is an effective strategy to cope with API flow limitation.
This answer comes from the articleCoAgents: a framework for learning to use tools through multi-intelligence collaborationThe
May not be reproduced without permission:AI productivity tools " What technical details do I need to pay special attention to when configuring the CoAgents program?
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