test_parse_uses_output_config() — anthropic-sdk-python Function Reference

Architecture documentation for the test_parse_uses_output_config() function in test_beta_messages.py from the anthropic-sdk-python codebase.

Function python AnthropicClient SyncAPI

Entity Profile

AnthropicClient→ SyncAPI→ test_parse_uses_output_config() — anthropic-sdk-python Function Reference

Dependency Diagram

graph TD
  55e28727_496a_adff_d21a_2d67318f4082["test_parse_uses_output_config()"]
  692db1db_e9a7_ed62_b129_14081098a7ae["TestAsyncMessages"]
  55e28727_496a_adff_d21a_2d67318f4082 -->|defined in| 692db1db_e9a7_ed62_b129_14081098a7ae
  style 55e28727_496a_adff_d21a_2d67318f4082 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

tests/lib/_parse/test_beta_messages.py lines 50–107

    async def test_parse_uses_output_config(self, async_client: AsyncAnthropic, respx_mock: MockRouter) -> None:
        class User(BaseModel):
            name: str
            age: int

        async def simple_parse(client: AsyncAnthropic) -> LegacyAPIResponse[ParsedBetaMessage[User]]:
            return await client.beta.with_raw_response.messages.parse(
                model="claude-sonnet-4-5",
                messages=[
                    {
                        "role": "user",
                        "content": "Extract the user's name and age from the following text:\n\nMy name is John Doe and I am 30 years old.",
                    }
                ],
                output_format=User,
                max_tokens=1024,
            )

        response = await make_async_stream_snapshot_request(
            simple_parse,
            content_snapshot=external("uuid:044ce19d-3e9c-42d2-90e7-759c978cd94b.json"),
            respx_mock=respx_mock,
            mock_client=async_client,
            path="/v1/messages?beta=true",
        )

        request_json = json.loads(response.http_request.content)
        assert request_json == snapshot(
            {
                "max_tokens": 1024,
                "messages": [
                    {
                        "role": "user",
                        "content": """\
Extract the user's name and age from the following text:

My name is John Doe and I am 30 years old.\
""",
                    }
                ],
                "model": "claude-sonnet-4-5",
                "output_config": {
                    "format": {
                        "schema": {
                            "type": "object",
                            "title": "User",
                            "properties": {
                                "name": {"type": "string", "title": "Name"},
                                "age": {"type": "integer", "title": "Age"},
                            },
                            "additionalProperties": False,
                            "required": ["name", "age"],
                        },
                        "type": "json_schema",
                    }
                },
            }
        )