Cross-model function call optimization scheme
For the specificity of the function call scenario, the following methods are suggested to improve the success rate:
1. Standardized definitions
- Strictly follows the OpenAI function call format specification
- The parameter description should contain at least 3 examples (see bodytools configuration for examples)
- Required fields must be declared to avoid missing parameters.
2. Model adaptation
- Prefer models that specialize in function calls (e.g. gpt4-turbo)
- Setting temperature=0 in generate method reduces randomness
- Maximum number of tokens is set to ≥512 to guarantee a complete response
3. Error handling
- Catching FunctionCallingError Exceptions
- Implement automatic retry mechanism (max_retries=3 recommended)
- Analyzing failure causes with docker-compose logs
Advanced Tips: For complex function chain calls, it is recommended to test each link with a simple query before combining them into a complete process.
This answer comes from the articleAIRouter: Intelligent Routing Tool for Calling Multiple Models with Unified API InterfaceThe
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