Follow the three steps below to complete the access to the new tool:
- Prepare documentation for the tool API, making sure to include parameter formats and return examples
- Add new examples of the tool's use to the base agent training data to teach it to generate the correct call instructions
- Provide typical response samples to the observing agent to train its ability to accurately extract key fields
CoAgents demo case has included a complete TMDB API implementation template , developers can refer to the design patterns in run_tmdb.py. The modular nature of the framework makes the addition of new tools will not affect the original functional units, truly realize the 'plug and play' scalability.
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 " How do you implement a tool that allows AI systems to automatically learn to use a new API?
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