Handling Tool Call Responses from LLMs
Parse and execute LLM tool calls, returning results to the model for response generation.
When an LLM decides to call a tool, it returns a structured response containing the tool name and input arguments. Your application must parse this response, extract the tool call details, validate inputs against the schema, invoke the actual tool/function, and return results back to the LLM in a specific format (often a 'tool_results' message). The LLM then uses the results to generate a final user-facing response. This loop may repeat if the LLM calls multiple tools or if a tool call's result prompts further reasoning. Error handling is critical—invalid inputs, failed executions, or malformed data must be communicated back…
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