upgrade google-genai SDK to v1.49.0 with file_search support

Now using the official FileSearchDict from the SDK instead of our custom TypedDict. The SDK added file_search tool support in v1.49.0, so we can remove the workaround and type: ignore comment.

Author: gorkachea

pydantic_ai_slim/pydantic_ai/models/google.py

@@ -8,7 +8,7 @@
 from typing import Any, Literal, cast, overload
 from uuid import uuid4
 
-from typing_extensions import TypedDict, assert_never
+from typing_extensions import assert_never
 
 from .. import UnexpectedModelBehavior, _utils, usage
 from .._output import OutputObjectDefinition
@@ -61,6 +61,7 @@
         ExecutableCode,
         ExecutableCodeDict,
         FileDataDict,
+        FileSearchDict,
         FinishReason as GoogleFinishReason,
         FunctionCallDict,
         FunctionCallingConfigDict,
@@ -92,14 +93,6 @@
     ) from _import_error
 
 
-# FileSearchDict will be available in future google-genai versions
-# For now, we define it ourselves to match the expected structure
-class FileSearchDict(TypedDict, total=False):
-    """Configuration for file search tool in Google Gemini."""
-
-    file_search_store_names: list[str]
-
-
 LatestGoogleModelNames = Literal[
     'gemini-2.0-flash',
     'gemini-2.0-flash-lite',
@@ -353,7 +346,7 @@ def _get_tools(self, model_request_parameters: ModelRequestParameters) -> list[T
                     tools.append(ToolDict(code_execution=ToolCodeExecutionDict()))
                 elif isinstance(tool, FileSearchTool):
                     file_search_config = FileSearchDict(file_search_store_names=tool.vector_store_ids)
-                    tools.append(ToolDict(file_search=file_search_config))  # type: ignore[call-arg]
+                    tools.append(ToolDict(file_search=file_search_config))
                 elif isinstance(tool, ImageGenerationTool):  # pragma: no branch
                     if not self.profile.supports_image_output:
                         raise UserError(

pydantic_ai_slim/pyproject.toml

@@ -70,7 +70,7 @@ logfire = ["logfire[httpx]>=3.14.1"]
 openai = ["openai>=1.107.2"]
 cohere = ["cohere>=5.18.0; platform_system != 'Emscripten'"]
 vertexai = ["google-auth>=2.36.0", "requests>=2.32.2"]
-google = ["google-genai>=1.46.0"]
+google = ["google-genai>=1.49.0"]
 anthropic = ["anthropic>=0.70.0"]
 groq = ["groq>=0.25.0"]
 mistral = ["mistralai>=1.9.10"]

tests/models/test_google.py

@@ -3203,9 +3203,8 @@ def _generate_response_with_texts(response_id: str, texts: list[str]) -> Generat
     )
 
 
-# Integration tests for FileSearchTool are skipped because google-genai SDK v1.46.0
-# does not support file_search as a tool type yet. The code is ready for when SDK adds support.
-# Unit tests below validate the parsing logic.
+# Unit tests below validate the FileSearchTool parsing logic.
+# Integration tests require setting up file search stores via the Google API.
 
 
 def test_map_file_search_grounding_metadata():