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Allow users to define and invoke external tools/APIs directly through the model, enhancing integration with workflows
Add a functions parameter (list of function schemas) and function_call parameter (auto/manual) to the API request.
Example schema:
functions = [{ "name": "get_weather", "description": "Fetch current weather for a location", "parameters": { "type": "object", "properties": { "location": {"type": "string", "description": "City name"}, "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]} }, "required": ["location"] } }]
Fine-tune models to recognize when to trigger functions based on user prompts.
Output structured JSON arguments for function calls (e.g., {"location": "Tokyo", "unit": "celsius"}).
The text was updated successfully, but these errors were encountered:
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Allow users to define and invoke external tools/APIs directly through the model, enhancing integration with workflows
Proposed Implementation
Add a functions parameter (list of function schemas) and function_call parameter (auto/manual) to the API request.
Example schema:
Model Training/Fine-Tuning
Fine-tune models to recognize when to trigger functions based on user prompts.
Output structured JSON arguments for function calls (e.g., {"location": "Tokyo", "unit": "celsius"}).
The text was updated successfully, but these errors were encountered: