test_create_chat_result_with_reasoning_content() — langchain Function Reference
Architecture documentation for the test_create_chat_result_with_reasoning_content() function in test_chat_models.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 2624b386_44c3_cc6d_22d4_03140f4f3693["test_create_chat_result_with_reasoning_content()"] 530201c5_d88b_5d70_4ba9_c13da0c872e6["TestChatDeepSeekCustomUnit"] 2624b386_44c3_cc6d_22d4_03140f4f3693 -->|defined in| 530201c5_d88b_5d70_4ba9_c13da0c872e6 style 2624b386_44c3_cc6d_22d4_03140f4f3693 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/deepseek/tests/unit_tests/test_chat_models.py lines 107–123
def test_create_chat_result_with_reasoning_content(self) -> None:
"""Test that reasoning_content is properly extracted from response."""
chat_model = ChatDeepSeek(model=MODEL_NAME, api_key=SecretStr("api_key"))
mock_message = MagicMock()
mock_message.content = "Main content"
mock_message.reasoning_content = "This is the reasoning content"
mock_message.role = "assistant"
mock_response = MockOpenAIResponse(
choices=[MagicMock(message=mock_message)],
error=None,
)
result = chat_model._create_chat_result(mock_response)
assert (
result.generations[0].message.additional_kwargs.get("reasoning_content")
== "This is the reasoning content"
)
Domain
Subdomains
Source
Frequently Asked Questions
What does test_create_chat_result_with_reasoning_content() do?
test_create_chat_result_with_reasoning_content() is a function in the langchain codebase, defined in libs/partners/deepseek/tests/unit_tests/test_chat_models.py.
Where is test_create_chat_result_with_reasoning_content() defined?
test_create_chat_result_with_reasoning_content() is defined in libs/partners/deepseek/tests/unit_tests/test_chat_models.py at line 107.
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