Python: Fix Gemini client support for Gemini API and Vertex AI

python/packages/core/agent_framework/_tools.py

@@ -906,6 +906,9 @@ def _tools_to_dict(  # pyright: ignore[reportUnusedFunction]
         if isinstance(tool_item, FunctionTool):
             results.append(tool_item.to_json_schema_spec())
             continue
+        if isinstance(tool_item, BaseModel):
+            results.append(tool_item.model_dump(exclude_none=True))
+            continue
         if isinstance(tool_item, SerializationMixin):
             results.append(tool_item.to_dict())
             continue

python/packages/core/tests/core/test_tools.py

@@ -16,12 +16,26 @@
 from agent_framework._tools import (
     _parse_annotation,
     _parse_inputs,
+    _tools_to_dict,
 )
 from agent_framework.observability import OtelAttr
 
 # region FunctionTool and tool decorator tests
 
 
+def test_tools_to_dict_supports_pydantic_tool_models() -> None:
+    """Pydantic-based tool specs are serialized without logging parse warnings."""
+
+    class ProviderTool(BaseModel):
+        kind: str
+        enabled: bool = True
+        note: str | None = None
+
+    result = _tools_to_dict([ProviderTool(kind="google_search")])
+
+    assert result == [{"kind": "google_search", "enabled": True}]
+
+
 def test_tool_decorator():
     """Test the tool decorator."""
 

python/packages/gemini/AGENTS.md

@@ -1,13 +1,14 @@
 # Gemini Package (agent-framework-gemini)
 
-Integration with Google's Gemini API via the `google-genai` SDK.
+Integration with Google's Gemini Developer API and Vertex AI via the `google-genai` SDK.
 
 ## Core Classes
 
 - **`RawGeminiChatClient`** - Lightweight chat client without any layers, for custom pipeline composition
 - **`GeminiChatClient`** - Full-featured chat client with function invocation, middleware, and telemetry
 - **`GeminiChatOptions`** - Options TypedDict for Gemini-specific parameters
 - **`GeminiSettings`** - Settings loaded from environment variables
+- **`GoogleGeminiSettings`** - SDK-standard `GOOGLE_*` settings loaded from environment variables
 - **`ThinkingConfig`** - Configuration for extended thinking
 
 ## Gemini-specific Options

python/packages/gemini/README.md

@@ -12,11 +12,28 @@ The Gemini integration enables Microsoft Agent Framework applications to call Go
 
 ## Authentication
 
-Obtain an API key from [Google AI Studio](https://aistudio.google.com/apikey) and set it via environment variable:
+The connector supports both `google-genai` authentication modes.
+
+### Gemini Developer API
+
+Obtain an API key from [Google AI Studio](https://aistudio.google.com/apikey) and set either the package-prefixed or SDK-standard environment variable:
 
 ```bash
 export GEMINI_API_KEY="your-api-key"
-export GEMINI_MODEL="gemini-2.5-flash"
+# or: export GOOGLE_API_KEY="your-api-key"
+export GEMINI_MODEL="gemini-2.5-flash-lite"
+# or: export GOOGLE_MODEL="gemini-2.5-flash-lite"
+```
+
+### Vertex AI
+
+Set the standard Vertex AI environment variables used by `google-genai`:
+
+```bash
+export GOOGLE_GENAI_USE_VERTEXAI=true
+export GOOGLE_CLOUD_PROJECT="your-project-id"
+export GOOGLE_CLOUD_LOCATION="global"
+export GOOGLE_MODEL="gemini-2.5-flash-lite"
 ```
 
 ## Examples

python/packages/gemini/agent_framework_gemini/__init__.py

@@ -2,7 +2,14 @@
 
 import importlib.metadata
 
-from ._chat_client import GeminiChatClient, GeminiChatOptions, GeminiSettings, RawGeminiChatClient, ThinkingConfig
+from ._chat_client import (
+    GeminiChatClient,
+    GeminiChatOptions,
+    GeminiSettings,
+    GoogleGeminiSettings,
+    RawGeminiChatClient,
+    ThinkingConfig,
+)
 
 try:
     __version__ = importlib.metadata.version(__name__)
@@ -13,6 +20,7 @@
     "GeminiChatClient",
     "GeminiChatOptions",
     "GeminiSettings",
+    "GoogleGeminiSettings",
     "RawGeminiChatClient",
     "ThinkingConfig",
     "__version__",