Address maintainer review: fix comment typo and add prefixItems test

1. **Fix comment typo in google.py (line 270)**:
   - Changed `response_schema` to `response_json_schema` to match actual field usage
   - Addresses DouweM's suggestion for accuracy

2. **Add test for prefixItems native support**:
   - New test `test_google_prefix_items_native_output` verifies tuple types work natively
   - Uses `tuple[float, float]` which generates `prefixItems` in JSON schema
   - Confirms we no longer need the prefixItems → items conversion workaround
   - Tests with NYC coordinates as a practical example

Note: Cassette will be recorded by CI or during maintainer review.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>

Author: conradlee

pydantic_ai_slim/pydantic_ai/models/google.py

@@ -267,7 +267,7 @@ async def count_tokens(
             messages, model_settings, model_request_parameters
         )
 
-        # Annoyingly, the type of `GenerateContentConfigDict.get` is "partially `Unknown`" because `response_schema` includes `typing._UnionGenericAlias`,
+        # Annoyingly, the type of `GenerateContentConfigDict.get` is "partially `Unknown`" because `response_json_schema` includes `typing._UnionGenericAlias`,
         # so without this we'd need `pyright: ignore[reportUnknownMemberType]` on every line and wouldn't get type checking anyway.
         generation_config = cast(dict[str, Any], generation_config)
 

tests/models/test_google.py

@@ -3297,6 +3297,27 @@ class Task(BaseModel):
     assert isinstance(result.output.priority.value, int)
 
 
+async def test_google_prefix_items_native_output(allow_model_requests: None, google_provider: GoogleProvider):
+    """Test prefixItems (tuple types) work natively without conversion to items."""
+    m = GoogleModel('gemini-2.5-flash', provider=google_provider)
+
+    class Coordinate(BaseModel):
+        """A 2D coordinate with latitude and longitude."""
+
+        point: tuple[float, float]  # This generates prefixItems in JSON schema
+
+    agent = Agent(m, output_type=NativeOutput(Coordinate))
+
+    result = await agent.run('Give me coordinates for New York City: latitude 40.7128, longitude -74.0060')
+    assert len(result.output.point) == snapshot(2)
+    # Verify both values are floats
+    assert isinstance(result.output.point[0], float)
+    assert isinstance(result.output.point[1], float)
+    # Rough check for NYC coordinates (latitude ~40, longitude ~-74)
+    assert 40 <= result.output.point[0] <= 41
+    assert -75 <= result.output.point[1] <= -73
+
+
 def test_google_process_response_filters_empty_text_parts(google_provider: GoogleProvider):
     model = GoogleModel('gemini-2.5-pro', provider=google_provider)
     response = _generate_response_with_texts(response_id='resp-123', texts=['', 'first', '', 'second'])