test_typed_dict() — langchain Function Reference

Architecture documentation for the test_typed_dict() function in test_response_format.py from the langchain codebase.

Function python LangChainCore Runnables calls 1 called by 1

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LangChainCore→ Runnables→ test_typed_dict() — langchain Function Reference

Dependency Diagram

graph TD
  649be7e4_4a1f_594b_53af_73c143bd2710["test_typed_dict()"]
  d1d579f8_d411_ce75_6fa3_d97e725405cb["TestResponseFormatAsToolStrategy"]
  649be7e4_4a1f_594b_53af_73c143bd2710 -->|defined in| d1d579f8_d411_ce75_6fa3_d97e725405cb
  af9e7681_f120_a3f3_f3cb_98c627af8e9d["test_typed_dict()"]
  af9e7681_f120_a3f3_f3cb_98c627af8e9d -->|calls| 649be7e4_4a1f_594b_53af_73c143bd2710
  af9e7681_f120_a3f3_f3cb_98c627af8e9d["test_typed_dict()"]
  649be7e4_4a1f_594b_53af_73c143bd2710 -->|calls| af9e7681_f120_a3f3_f3cb_98c627af8e9d
  style 649be7e4_4a1f_594b_53af_73c143bd2710 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/test_response_format.py lines 275–294

    def test_typed_dict(self) -> None:
        """Test response_format as ToolStrategy with TypedDict."""
        tool_calls = [
            [{"args": {}, "id": "1", "name": "get_weather"}],
            [
                {
                    "name": "WeatherTypedDict",
                    "id": "2",
                    "args": WEATHER_DATA,
                }
            ],
        ]

        model = FakeToolCallingModel(tool_calls=tool_calls)

        agent = create_agent(model, [get_weather], response_format=ToolStrategy(WeatherTypedDict))
        response = agent.invoke({"messages": [HumanMessage("What's the weather?")]})

        assert response["structured_response"] == EXPECTED_WEATHER_DICT
        assert len(response["messages"]) == 5