test_func_call() — langchain Function Reference

Architecture documentation for the test_func_call() function in test_openai_functions.py from the langchain codebase.

Function python LangChainCore MessageInterface

Entity Profile

LangChainCore→ MessageInterface→ test_func_call() — langchain Function Reference

Dependency Diagram

graph TD
  1a73634d_063e_ca04_9aee_04eb61b6ff1a["test_func_call()"]
  1fe72b94_a8cc_d072_fc0a_71824fccb3c3["test_openai_functions.py"]
  1a73634d_063e_ca04_9aee_04eb61b6ff1a -->|defined in| 1fe72b94_a8cc_d072_fc0a_71824fccb3c3
  style 1a73634d_063e_ca04_9aee_04eb61b6ff1a fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/agents/output_parsers/test_openai_functions.py lines 33–49

def test_func_call() -> None:
    parser = OpenAIFunctionsAgentOutputParser()
    msg = AIMessage(
        content="LLM thoughts.",
        additional_kwargs={
            "function_call": {"name": "foo", "arguments": '{"param": 42}'},
        },
    )
    result = parser.invoke(msg)

    assert isinstance(result, AgentActionMessageLog)
    assert result.tool == "foo"
    assert result.tool_input == {"param": 42}
    assert result.log == (
        "\nInvoking: `foo` with `{'param': 42}`\nresponded: LLM thoughts.\n\n"
    )
    assert result.message_log == [msg]