feat: Allow google search tool to set different model

Merge #4136

**Please ensure you have read the [contribution guide](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) before creating a pull request.**

### Link to Issue or Description of Change

**1. Link to an existing issue (if applicable):**

Allow google search tool to set different model #4135

**2. Or, if no issue exists, describe the change:**

_If applicable, please follow the issue templates to provide as much detail as
possible._

**Problem:**
Currently, the Google Search tool inherits and uses the same LLM model set from the parent agent for processing and summarizing search results. This creates a limitation for users who wish to decouple the agent's reasoning model from the model used for search summarization (e.g., for cost optimization or using a lightweight model for simpler summarization tasks).

**Solution:**
I have updated the Google Search tool to accept an optional LLM model parameter.
Custom Model: Users can now explicitly specify which model should be used for processing search results.
Default Behavior: If no model is specified, the tool defaults to the parent agent's model, ensuring backward compatibility.

```
    # If a custom model is specified, use it instead of the original model
    if self.model is not None:
      llm_request.model = self.model
```

### Testing Plan

Added a new test case test_process_llm_request_with_custom_model in [test_google_search_tool.py] that verifies:

When a custom model parameter is provided to GoogleSearchTool, it overrides the model from the incoming llm_request during process_llm_request
The tool correctly uses the custom model for LLM calls while maintaining other request parameters

**Unit Tests:**

- [X] I have added or updated unit tests for my change.
- [X] All unit tests pass locally.

(base) wanglu2:adk-python/ (feature/allow-google-search-tool-set-different-llm✗) $ uv run pytest ./tests/unittests/tools/test_google_search_tool.py       [22:07:32]
======================================================================== test session starts ========================================================================
platform darwin -- Python 3.13.1, pytest-9.0.2, pluggy-1.6.0
rootdir: /Users/wanglu2/Documents/Git/adk-python
configfile: pyproject.toml
plugins: mock-3.15.1, anyio-4.12.0, xdist-3.8.0, asyncio-1.3.0, langsmith-0.6.0
asyncio: mode=Mode.AUTO, debug=False, asyncio_default_fixture_loop_scope=function, asyncio_default_test_loop_scope=function
collected 21 items

tests/unittests/tools/test_google_search_tool.py .....................                                                                                        [100%]

======================================================================== 21 passed in 7.91s =========================================================================

### Checklist

- [X] I have read the [CONTRIBUTING.md](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) document.
- [X] I have performed a self-review of my own code.
- [X] I have commented my code, particularly in hard-to-understand areas.
- [X] I have added tests that prove my fix is effective or that my feature works.
- [X] New and existing unit tests pass locally with my changes.
- [X] I have manually tested my changes end-to-end.
- [ ] Any dependent changes have been merged and published in downstream modules.

### Additional context

Co-authored-by: Kathy Wu <wukathy@google.com>
COPYBARA_INTEGRATE_REVIEW=#4136 from lwangverizon:feature/allow-google-search-tool-set-different-llm 239ea95
PiperOrigin-RevId: 859265757

Author: 2 people

src/google/adk/tools/google_search_tool.py

@@ -35,17 +35,26 @@ class GoogleSearchTool(BaseTool):
   local code execution.
   """
 
-  def __init__(self, *, bypass_multi_tools_limit: bool = False):
+  def __init__(
+      self,
+      *,
+      bypass_multi_tools_limit: bool = False,
+      model: str | None = None,
+  ):
     """Initializes the Google search tool.
 
     Args:
       bypass_multi_tools_limit: Whether to bypass the multi tools limitation,
         so that the tool can be used with other tools in the same agent.
+      model: Optional model name to use for processing the LLM request. If
+        provided, this model will be used instead of the model from the
+        incoming llm_request.
     """
 
     # Name and description are not used because this is a model built-in tool.
     super().__init__(name='google_search', description='google_search')
     self.bypass_multi_tools_limit = bypass_multi_tools_limit
+    self.model = model
 
   @override
   async def process_llm_request(
@@ -54,6 +63,10 @@ async def process_llm_request(
       tool_context: ToolContext,
       llm_request: LlmRequest,
   ) -> None:
+    # If a custom model is specified, use it instead of the original model
+    if self.model is not None:
+      llm_request.model = self.model
+
     llm_request.config = llm_request.config or types.GenerateContentConfig()
     llm_request.config.tools = llm_request.config.tools or []
     if is_gemini_1_model(llm_request.model):

tests/unittests/tools/test_google_search_tool.py

@@ -432,3 +432,46 @@ async def test_process_llm_request_gemini_version_specifics(self):
       assert len(llm_request.config.tools) == 1
       assert llm_request.config.tools[0].google_search is not None
       assert llm_request.config.tools[0].google_search_retrieval is None
+
+  @pytest.mark.asyncio
+  @pytest.mark.parametrize(
+      (
+          'tool_model',
+          'request_model',
+          'expected_model',
+      ),
+      [
+          (
+              'gemini-2.5-flash-lite',
+              'gemini-2.5-flash',
+              'gemini-2.5-flash-lite',
+          ),
+          (
+              None,
+              'gemini-2.5-flash',
+              'gemini-2.5-flash',
+          ),
+      ],
+      ids=['with_custom_model', 'without_custom_model'],
+  )
+  async def test_process_llm_request_custom_model_behavior(
+      self,
+      tool_model,
+      request_model,
+      expected_model,
+  ):
+    """Tests custom model parameter behavior in process_llm_request."""
+    tool = GoogleSearchTool(model=tool_model)
+    tool_context = await _create_tool_context()
+
+    llm_request = LlmRequest(
+        model=request_model, config=types.GenerateContentConfig()
+    )
+
+    await tool.process_llm_request(
+        tool_context=tool_context, llm_request=llm_request
+    )
+
+    assert llm_request.model == expected_model
+    assert llm_request.config.tools is not None
+    assert len(llm_request.config.tools) == 1