**1 issue found** across 9 files Confidence score: **4/5** - This PR looks safe to merge; the only issue is a test skip reason string mismatch, which is low impact and mostly clarity/documentation. - In `tests/test_models.py`, the skip reason references `TypeAliasType` but the test is unrelated, which could confuse future maintenance or test intent. - Pay close attention to `tests/test_models.py` - ensure the skip reason accurately reflects why the test is skipped on v1.

Prompt for AI agents (unresolved issues)

```text Check if these issues are valid — if so, understand the root cause of each and fix them. If appropriate, use sub-agents to investigate and fix each issue separately. P2: Incorrect skip reason: this test has nothing to do with `TypeAliasType`. The reason string was copy-pasted from `test_type_alias_type` above. If skipping on v1 is intentional, update the reason to explain the actual incompatibility (e.g., `cls` field handling). ```

Architecture diagram

```mermaid sequenceDiagram participant User as Client Code participant Session as Session / AsyncSession participant Patch as Session Extract Patch participant PydanticUtil as Pydantic Extract Utility participant API as Stagehand API participant Pydantic as Pydantic V2 Note over Session, Patch: NEW: Patch installed via sessions_helpers.py User->>Session: extract(schema=MyModel, ...) Session->>Patch: NEW: _sync_extract / _async_extract alt Schema is Pydantic Model Patch->>PydanticUtil: is_pydantic_model(schema) PydanticUtil-->>Patch: True Patch->>PydanticUtil: pydantic_model_to_json_schema(MyModel) PydanticUtil->>Pydantic: model_json_schema() Pydantic-->>Patch: JSON Schema dict end Patch->>API: POST /v1/sessions/{id}/extract (with JSON schema) API-->>Patch: SessionExtractResponse (raw JSON result) Note right of Patch: CHANGED: Extract logic moved from Session to Patch alt Pydantic Model used & Response exists Patch->>PydanticUtil: NEW: validate_extract_response(result, MyModel) PydanticUtil->>PydanticUtil: NEW: _validation_schema(cache lookup) Note over PydanticUtil: Applies strict_response_validation flag PydanticUtil->>Pydantic: model_validate(result) alt Validation Fails PydanticUtil->>PydanticUtil: _convert_dict_keys_to_snake_case() PydanticUtil->>Pydantic: model_validate(normalized_result) end PydanticUtil-->>Patch: MyModel Instance (or raw data if fail) end Patch-->>User: SessionExtractResponse (data.result = MyModel) Note over PydanticUtil, Pydantic: CHANGED: Pydantic v2 is now strictly required ```

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