TestResponseFormatAsToolStrategy Class — langchain Architecture
Architecture documentation for the TestResponseFormatAsToolStrategy class in test_response_format.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD b84005d0_9099_43da_99ce_9d9b49344d2a["TestResponseFormatAsToolStrategy"] 25484cf0_60a8_c7b3_8913_de5d99a31ab2["WeatherBaseModel"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|extends| 25484cf0_60a8_c7b3_8913_de5d99a31ab2 868855e3_88a1_74b1_6bf3_c26452a31724["WeatherDataclass"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|extends| 868855e3_88a1_74b1_6bf3_c26452a31724 05c29ba6_1e16_e758_0a1e_5e7b7650120f["WeatherTypedDict"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|extends| 05c29ba6_1e16_e758_0a1e_5e7b7650120f d777eb6e_2373_ab32_10cb_5f0019def7b6["MultipleStructuredOutputsError"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|extends| d777eb6e_2373_ab32_10cb_5f0019def7b6 15707763_5f5b_5f3d_bc0c_7057a5ac4cfb["StructuredOutputValidationError"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|extends| 15707763_5f5b_5f3d_bc0c_7057a5ac4cfb 78b88257_eb76_9d35_8abe_db981de29160["test_response_format.py"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|defined in| 78b88257_eb76_9d35_8abe_db981de29160 784128b2_5771_118a_6965_8a8ad5973c42["test_pydantic_model()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| 784128b2_5771_118a_6965_8a8ad5973c42 1bd03361_19a7_f0f5_c185_13040bf23320["test_dataclass()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| 1bd03361_19a7_f0f5_c185_13040bf23320 b0ba21db_9bcc_927c_dfd9_822d2f313f2d["test_typed_dict()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| b0ba21db_9bcc_927c_dfd9_822d2f313f2d 27cc283b_fc88_777c_5e35_72df635fcc15["test_json_schema()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| 27cc283b_fc88_777c_5e35_72df635fcc15 c636a3ed_ebcc_978d_78e0_400ea6344937["test_union_of_json_schemas()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| c636a3ed_ebcc_978d_78e0_400ea6344937 1684dee0_45c0_27e5_54b4_a233a0b19cd8["test_union_of_types()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| 1684dee0_45c0_27e5_54b4_a233a0b19cd8 a2d68ac4_62a8_98dd_b66b_56cd93e4cc3d["test_multiple_structured_outputs_error_without_retry()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| a2d68ac4_62a8_98dd_b66b_56cd93e4cc3d ec022e91_3052_7bcc_53b9_77a39c2df175["test_multiple_structured_outputs_with_retry()"] b84005d0_9099_43da_99ce_9d9b49344d2a -->|method| ec022e91_3052_7bcc_53b9_77a39c2df175
Relationship Graph
Source Code
libs/langchain_v1/tests/unit_tests/agents/test_response_format.py lines 232–684
class TestResponseFormatAsToolStrategy:
def test_pydantic_model(self) -> None:
"""Test response_format as ToolStrategy with Pydantic model."""
tool_calls = [
[{"args": {}, "id": "1", "name": "get_weather"}],
[
{
"name": "WeatherBaseModel",
"id": "2",
"args": WEATHER_DATA,
}
],
]
model = FakeToolCallingModel(tool_calls=tool_calls)
agent = create_agent(model, [get_weather], response_format=ToolStrategy(WeatherBaseModel))
response = agent.invoke({"messages": [HumanMessage("What's the weather?")]})
assert response["structured_response"] == EXPECTED_WEATHER_PYDANTIC
assert len(response["messages"]) == 5
def test_dataclass(self) -> None:
"""Test response_format as ToolStrategy with dataclass."""
tool_calls = [
[{"args": {}, "id": "1", "name": "get_weather"}],
[
{
"name": "WeatherDataclass",
"id": "2",
"args": WEATHER_DATA,
}
],
]
model = FakeToolCallingModel(tool_calls=tool_calls)
agent = create_agent(model, [get_weather], response_format=ToolStrategy(WeatherDataclass))
response = agent.invoke({"messages": [HumanMessage("What's the weather?")]})
assert response["structured_response"] == EXPECTED_WEATHER_DATACLASS
assert len(response["messages"]) == 5
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
def test_json_schema(self) -> None:
"""Test response_format as ToolStrategy with JSON schema."""
tool_calls = [
[{"args": {}, "id": "1", "name": "get_weather"}],
[
{
"name": "weather_schema",
"id": "2",
"args": WEATHER_DATA,
}
],
]
model = FakeToolCallingModel(tool_calls=tool_calls)
agent = create_agent(
model, [get_weather], response_format=ToolStrategy(weather_json_schema)Extends
Source
Frequently Asked Questions
What is the TestResponseFormatAsToolStrategy class?
TestResponseFormatAsToolStrategy is a class in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/test_response_format.py.
Where is TestResponseFormatAsToolStrategy defined?
TestResponseFormatAsToolStrategy is defined in libs/langchain_v1/tests/unit_tests/agents/test_response_format.py at line 232.
What does TestResponseFormatAsToolStrategy extend?
TestResponseFormatAsToolStrategy extends WeatherBaseModel, WeatherDataclass, WeatherTypedDict, MultipleStructuredOutputsError, StructuredOutputValidationError.
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