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Just simple change. ```python messages: List[LLMMessage] = [UserMessage(content="Call the pass tool with input 'task'", source="user")] ``` to ```python messages: List[LLMMessage] = [UserMessage(content="Call the pass tool with input 'task' and talk result", source="user")] ``` And, now. Anthropic model could pass that test case `test_model_client_with_function_calling`. -> Yup. Before, claude could not pass that test case. With this change, Claude (Anthropic) models are now able to pass the test case successfully. Before this fix, Claude failed to interpret the intent correctly. Now, it can infer both tool usage and follow-up generation. This change is backward-compatible with other models (e.g., GPT-4) and improves cross-model consistency for function-calling tests.
AutoGen Extensions
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