The log_file parameter is used to record the complete process of the collaboration of the intelligences:
- Record the raw instructions generated by the base agent (e.g. {"query": "sci-fi", "year":2023})
- Save API requests and raw responses (with HTTP status code/return JSON) initiated by the execution agent
- Store the information extraction process of the observing agent (e.g. from which fields title/vote_average is extracted)
- Logging of errors and corrections during iterations
The log file (in JSON format) is critical for debugging and optimization. Developers can analyze the logs to 1) identify problems with instruction generation 2) verify API call correctness 3) evaluate information extraction accuracy. It is recommended that the first run specify . /debug.log and other easily accessible path.
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 does the log_file parameter do when running the demo script run_tmdb.py?
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