test_manual_tool_call_msg() — langchain Function Reference

Source Code

libs/partners/openai/tests/integration_tests/chat_models/test_base.py lines 545–590

def test_manual_tool_call_msg(use_responses_api: bool) -> None:
    """Test passing in manually construct tool call message."""
    llm = ChatOpenAI(
        model="gpt-5-nano", temperature=0, use_responses_api=use_responses_api
    )
    llm_with_tool = llm.bind_tools(tools=[GenerateUsername])
    msgs: list = [
        HumanMessage("Sally has green hair, what would her username be?"),
        AIMessage(
            content="",
            tool_calls=[
                ToolCall(
                    name="GenerateUsername",
                    args={"name": "Sally", "hair_color": "green"},
                    id="foo",
                    type="tool_call",
                )
            ],
        ),
        ToolMessage("sally_green_hair", tool_call_id="foo"),
    ]
    output: AIMessage = cast(AIMessage, llm_with_tool.invoke(msgs))
    assert output.content
    # Should not have called the tool again.
    assert not output.tool_calls
    assert not output.invalid_tool_calls

    # OpenAI should error when tool call id doesn't match across AIMessage and
    # ToolMessage
    msgs = [
        HumanMessage("Sally has green hair, what would her username be?"),
        AIMessage(
            content="",
            tool_calls=[
                ToolCall(
                    name="GenerateUsername",
                    args={"name": "Sally", "hair_color": "green"},
                    id="bar",
                    type="tool_call",
                )
            ],
        ),
        ToolMessage("sally_green_hair", tool_call_id="foo"),
    ]
    with pytest.raises(Exception):
        llm_with_tool.invoke(msgs)