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test_convert_chunk_with_reasoning() — langchain Function Reference

Architecture documentation for the test_convert_chunk_with_reasoning() function in test_chat_models.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  5485b390_870b_f8b1_0fa2_58ec26a0dd43["test_convert_chunk_with_reasoning()"]
  530201c5_d88b_5d70_4ba9_c13da0c872e6["TestChatDeepSeekCustomUnit"]
  5485b390_870b_f8b1_0fa2_58ec26a0dd43 -->|defined in| 530201c5_d88b_5d70_4ba9_c13da0c872e6
  style 5485b390_870b_f8b1_0fa2_58ec26a0dd43 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/deepseek/tests/unit_tests/test_chat_models.py lines 174–199

    def test_convert_chunk_with_reasoning(self) -> None:
        """Test that reasoning is properly extracted from streaming chunk."""
        chat_model = ChatDeepSeek(model=MODEL_NAME, api_key=SecretStr("api_key"))
        chunk: dict[str, Any] = {
            "choices": [
                {
                    "delta": {
                        "content": "Main content",
                        "reasoning": "Streaming reasoning",
                    },
                },
            ],
        }

        chunk_result = chat_model._convert_chunk_to_generation_chunk(
            chunk,
            AIMessageChunk,
            None,
        )
        if chunk_result is None:
            msg = "Expected chunk_result not to be None"
            raise AssertionError(msg)
        assert (
            chunk_result.message.additional_kwargs.get("reasoning_content")
            == "Streaming reasoning"
        )

Domain

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Frequently Asked Questions

What does test_convert_chunk_with_reasoning() do?
test_convert_chunk_with_reasoning() is a function in the langchain codebase, defined in libs/partners/deepseek/tests/unit_tests/test_chat_models.py.
Where is test_convert_chunk_with_reasoning() defined?
test_convert_chunk_with_reasoning() is defined in libs/partners/deepseek/tests/unit_tests/test_chat_models.py at line 174.

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