chore: import upstream snapshot with attribution

python/packages/gemini/samples/gemini_with_google_search.py

@@ -0,0 +1,52 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Shows how to enable Google Search grounding.
+
+Allows Gemini to retrieve up-to-date information from the web before responding.
+
+Requires ``GOOGLE_MODEL`` or ``GEMINI_MODEL`` and either Gemini Developer API credentials
+(``GEMINI_API_KEY`` or ``GOOGLE_API_KEY``) or Vertex AI settings
+(``GOOGLE_GENAI_USE_VERTEXAI``, ``GOOGLE_CLOUD_PROJECT``, and ``GOOGLE_CLOUD_LOCATION``).
+"""
+
+import asyncio
+
+from agent_framework import Agent
+from dotenv import load_dotenv
+
+from agent_framework_gemini import GeminiChatClient
+
+load_dotenv()
+
+
+async def main() -> None:
+    """Run the Google Search grounding example."""
+    print("=== Google Search grounding ===")
+
+    # 1. Create the agent with Gemini and the built-in Google Search grounding tool.
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="SearchAgent",
+        instructions="You are a helpful assistant. Use Google Search to provide accurate, up-to-date answers.",
+        tools=[GeminiChatClient.get_web_search_tool()],
+    )
+
+    # 2. Ask a current-events style question and stream the grounded answer.
+    query = "What is the latest stable release of the .NET SDK?"
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
+"""
+Sample output:
+=== Google Search grounding ===
+User: What is the latest stable release of the .NET SDK?
+Agent: As of April 14, 2026, the latest stable release of the .NET SDK is .NET 10.0 (SDK 10.0.201).
+"""