Home / Function/ test_multiple_yields_retry_different_models() — langchain Function Reference

test_multiple_yields_retry_different_models() — langchain Function Reference

Architecture documentation for the test_multiple_yields_retry_different_models() function in test_wrap_model_call.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  85715e46_184f_09af_1f83_464cff909805["test_multiple_yields_retry_different_models()"]
  52b18729_38be_e6a4_be4a_d400d28f5c7c["TestEdgeCases"]
  85715e46_184f_09af_1f83_464cff909805 -->|defined in| 52b18729_38be_e6a4_be4a_d400d28f5c7c
  style 85715e46_184f_09af_1f83_464cff909805 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 1560–1600

    def test_multiple_yields_retry_different_models(self) -> None:
        """Test middleware that tries multiple different models."""
        attempts = []

        class MultiModelRetryMiddleware(AgentMiddleware):
            def wrap_model_call(
                self,
                request: ModelRequest,
                handler: Callable[[ModelRequest], ModelResponse],
            ) -> ModelCallResult:
                attempts.append("first-attempt")
                try:
                    return handler(request)
                except Exception:
                    attempts.append("retry-attempt")
                    return handler(request)

        call_count = {"value": 0}

        class FailFirstSucceedSecond(GenericFakeChatModel):
            @override
            def _generate(
                self,
                messages: list[BaseMessage],
                stop: list[str] | None = None,
                run_manager: CallbackManagerForLLMRun | None = None,
                **kwargs: Any,
            ) -> ChatResult:
                call_count["value"] += 1
                if call_count["value"] == 1:
                    msg = "First fails"
                    raise ValueError(msg)
                return super()._generate(messages, **kwargs)

        model = FailFirstSucceedSecond(messages=iter([AIMessage(content="Success")]))
        agent = create_agent(model=model, middleware=[MultiModelRetryMiddleware()])

        result = agent.invoke({"messages": [HumanMessage("Test")]})

        assert attempts == ["first-attempt", "retry-attempt"]
        assert result["messages"][1].content == "Success"

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Frequently Asked Questions

What does test_multiple_yields_retry_different_models() do?
test_multiple_yields_retry_different_models() 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_multiple_yields_retry_different_models() defined?
test_multiple_yields_retry_different_models() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call.py at line 1560.

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