Home / Function/ test_model_retry_async_working_model() — langchain Function Reference

test_model_retry_async_working_model() — langchain Function Reference

Architecture documentation for the test_model_retry_async_working_model() function in test_model_retry.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  0fbb4437_d948_8481_cfb3_5d09c7b719b0["test_model_retry_async_working_model()"]
  6a114635_155a_5b86_2f48_fb8ca99f7545["test_model_retry.py"]
  0fbb4437_d948_8481_cfb3_5d09c7b719b0 -->|defined in| 6a114635_155a_5b86_2f48_fb8ca99f7545
  style 0fbb4437_d948_8481_cfb3_5d09c7b719b0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_retry.py lines 520–540

async def test_model_retry_async_working_model() -> None:
    """Test ModelRetryMiddleware with async execution and working model."""
    model = FakeToolCallingModel()

    retry = ModelRetryMiddleware(max_retries=2, initial_delay=0.01, jitter=False)

    agent = create_agent(
        model=model,
        tools=[],
        middleware=[retry],
        checkpointer=InMemorySaver(),
    )

    result = await agent.ainvoke(
        {"messages": [HumanMessage("Hello")]},
        {"configurable": {"thread_id": "test"}},
    )

    ai_messages = [m for m in result["messages"] if isinstance(m, AIMessage)]
    assert len(ai_messages) >= 1
    assert "Hello" in ai_messages[-1].content

Domain

Subdomains

Frequently Asked Questions

What does test_model_retry_async_working_model() do?
test_model_retry_async_working_model() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_retry.py.
Where is test_model_retry_async_working_model() defined?
test_model_retry_async_working_model() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_retry.py at line 520.

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