Home / Function/ test_tool_retry_async_succeeds_after_retries() — langchain Function Reference

test_tool_retry_async_succeeds_after_retries() — langchain Function Reference

Architecture documentation for the test_tool_retry_async_succeeds_after_retries() function in test_tool_retry.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  69a5e869_0cff_bc5f_0cad_e7913615c3bf["test_tool_retry_async_succeeds_after_retries()"]
  c71b26df_821f_59ac_c7ef_3b96fcbe0d5b["test_tool_retry.py"]
  69a5e869_0cff_bc5f_0cad_e7913615c3bf -->|defined in| c71b26df_821f_59ac_c7ef_3b96fcbe0d5b
  style 69a5e869_0cff_bc5f_0cad_e7913615c3bf fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_retry.py lines 751–787

async def test_tool_retry_async_succeeds_after_retries() -> None:
    """Test ToolRetryMiddlewareasync execution succeeds after temporary failures."""
    temp_fail = TemporaryFailureTool(fail_count=2)

    @tool
    def temp_failing_tool(value: str) -> str:
        """Tool that fails temporarily."""
        return temp_fail(value)

    model = FakeToolCallingModel(
        tool_calls=[
            [ToolCall(name="temp_failing_tool", args={"value": "test"}, id="1")],
            [],
        ]
    )

    retry = ToolRetryMiddleware(
        max_retries=3,
        initial_delay=0.01,
        jitter=False,
    )

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

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

    tool_messages = [m for m in result["messages"] if isinstance(m, ToolMessage)]
    assert len(tool_messages) == 1
    assert "Success after 3 attempts" in tool_messages[0].content

Domain

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Frequently Asked Questions

What does test_tool_retry_async_succeeds_after_retries() do?
test_tool_retry_async_succeeds_after_retries() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_retry.py.
Where is test_tool_retry_async_succeeds_after_retries() defined?
test_tool_retry_async_succeeds_after_retries() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_retry.py at line 751.

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