test_selective_error_handling() — langchain Function Reference
Architecture documentation for the test_selective_error_handling() function in test_wrap_model_call.py from the langchain codebase.
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Dependency Diagram
graph TD 0cd07b8b_eafe_5ebf_f9e4_b52d74309f5f["test_selective_error_handling()"] af226bc7_9003_a498_4aba_5a5b0a9f8c0c["TestErrorHandling"] 0cd07b8b_eafe_5ebf_f9e4_b52d74309f5f -->|defined in| af226bc7_9003_a498_4aba_5a5b0a9f8c0c style 0cd07b8b_eafe_5ebf_f9e4_b52d74309f5f 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.py lines 412–443
def test_selective_error_handling(self) -> None:
"""Test middleware that only handles specific errors."""
class SpecificErrorModel(GenericFakeChatModel):
@override
def _generate(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: CallbackManagerForLLMRun | None = None,
**kwargs: Any,
) -> ChatResult:
msg = "Network error"
raise ConnectionError(msg)
class SelectiveErrorMiddleware(AgentMiddleware):
def wrap_model_call(
self,
request: ModelRequest,
handler: Callable[[ModelRequest], ModelResponse],
) -> ModelCallResult:
try:
return handler(request)
except ConnectionError:
return AIMessage(content="Network issue, try again later")
model = SpecificErrorModel(messages=iter([]))
agent = create_agent(model=model, middleware=[SelectiveErrorMiddleware()])
result = agent.invoke({"messages": [HumanMessage("Test")]})
assert result["messages"][1].content == "Network issue, try again later"
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Frequently Asked Questions
What does test_selective_error_handling() do?
test_selective_error_handling() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call.py.
Where is test_selective_error_handling() defined?
test_selective_error_handling() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call.py at line 412.
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