langchain Architecture Docs
Home / Function/ test_ainvoke_uses_async_response_requires_action_agent() — langchain Function Reference

test_ainvoke_uses_async_response_requires_action_agent() — langchain Function Reference

Architecture documentation for the test_ainvoke_uses_async_response_requires_action_agent() function in test_openai_assistant.py from the langchain codebase.

Function python LangChainCore MessageInterface calls 1

Entity Profile

Dependency Diagram

graph TD
  a95f4d8e_5a7c_b8b9_cfaa_37409e3b8edb["test_ainvoke_uses_async_response_requires_action_agent()"]
  d76760d8_a189_0f15_aae7_cb699a67e504["test_openai_assistant.py"]
  a95f4d8e_5a7c_b8b9_cfaa_37409e3b8edb -->|defined in| d76760d8_a189_0f15_aae7_cb699a67e504
  81b2f5ba_63b7_1435_a3d4_96c06a47805c["_create_mock_client()"]
  a95f4d8e_5a7c_b8b9_cfaa_37409e3b8edb -->|calls| 81b2f5ba_63b7_1435_a3d4_96c06a47805c
  style a95f4d8e_5a7c_b8b9_cfaa_37409e3b8edb fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/agents/test_openai_assistant.py lines 98–127

async def test_ainvoke_uses_async_response_requires_action_agent() -> None:
    # Arrange a runner with mocked async client and requires_action run
    assistant = OpenAIAssistantRunnable(
        assistant_id="assistant_id",
        client=_create_mock_client(),
        async_client=_create_mock_client(use_async=True),
        as_agent=True,
    )
    mock_run = MagicMock()
    mock_run.id = "run-id"
    mock_run.thread_id = "thread-id"
    mock_run.status = "requires_action"

    # Fake tool call structure
    tool_call = MagicMock()
    tool_call.id = "tool-id"
    tool_call.function.name = "foo"
    tool_call.function.arguments = '{\n  "x": 1\n}'
    mock_run.required_action.submit_tool_outputs.tool_calls = [tool_call]

    await_for_run_mock = AsyncMock(return_value=mock_run)

    # Act
    with patch.object(assistant, "_await_for_run", await_for_run_mock):
        result = await assistant.ainvoke({"content": "hi"})

    # Assert: returns list of OpenAIAssistantAction
    assert isinstance(result, list)
    assert result
    assert getattr(result[0], "tool", None) == "foo"

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does test_ainvoke_uses_async_response_requires_action_agent() do?
test_ainvoke_uses_async_response_requires_action_agent() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/agents/test_openai_assistant.py.
Where is test_ainvoke_uses_async_response_requires_action_agent() defined?
test_ainvoke_uses_async_response_requires_action_agent() is defined in libs/langchain/tests/unit_tests/agents/test_openai_assistant.py at line 98.
What does test_ainvoke_uses_async_response_requires_action_agent() call?
test_ainvoke_uses_async_response_requires_action_agent() calls 1 function(s): _create_mock_client.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free