test_structured_response_preserved() — langchain Function Reference
Architecture documentation for the test_structured_response_preserved() function in test_wrap_model_call_state_update.py from the langchain codebase.
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Dependency Diagram
graph TD 2f3bb608_7ff4_8a29_55b9_22dd6fee84f9["test_structured_response_preserved()"] 269d8393_43ba_e665_6d86_95d75ce0c396["TestComposition"] 2f3bb608_7ff4_8a29_55b9_22dd6fee84f9 -->|defined in| 269d8393_43ba_e665_6d86_95d75ce0c396 style 2f3bb608_7ff4_8a29_55b9_22dd6fee84f9 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py lines 610–636
def test_structured_response_preserved(self) -> None:
"""ExtendedModelResponse preserves structured_response from ModelResponse."""
class StructuredMiddleware(AgentMiddleware):
def wrap_model_call(
self,
request: ModelRequest,
handler: Callable[[ModelRequest], ModelResponse],
) -> ExtendedModelResponse:
response = handler(request)
response_with_structured = ModelResponse(
result=response.result,
structured_response={"key": "value"},
)
return ExtendedModelResponse(
model_response=response_with_structured,
)
model = GenericFakeChatModel(messages=iter([AIMessage(content="Hello")]))
agent = create_agent(model=model, middleware=[StructuredMiddleware()])
result = agent.invoke({"messages": [HumanMessage("Hi")]})
assert result.get("structured_response") == {"key": "value"}
messages = result["messages"]
assert len(messages) == 2
assert messages[1].content == "Hello"
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Frequently Asked Questions
What does test_structured_response_preserved() do?
test_structured_response_preserved() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py.
Where is test_structured_response_preserved() defined?
test_structured_response_preserved() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py at line 610.
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