# Copyright (c) Microsoft. All rights reserved. """Shows how to use GeminiChatClient with an agent and a custom tool. Covers both non-streaming and streaming responses. Requires the following environment variables to be set: - GEMINI_API_KEY - GEMINI_MODEL """ import asyncio from random import randint from typing import Annotated from agent_framework import Agent, tool from dotenv import load_dotenv from agent_framework_gemini import GeminiChatClient load_dotenv() # NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production @tool(approval_mode="never_require") def get_weather( location: Annotated[str, "The location to get the weather for."], ) -> str: """Get the weather for a given location.""" conditions = ["sunny", "cloudy", "rainy", "stormy"] return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C." async def non_streaming_example() -> None: """Runs the agent and waits for the complete response before printing it.""" print("=== Non-streaming ===") agent = Agent( client=GeminiChatClient(), name="WeatherAgent", instructions="You are a helpful weather agent.", tools=[get_weather], ) query = "What's the weather like in Karlsruhe, Germany?" print(f"User: {query}") result = await agent.run(query) print(f"Result: {result}\n") async def streaming_example() -> None: """Runs the agent and prints each chunk as it is received.""" print("=== Streaming ===") agent = Agent( client=GeminiChatClient(), name="WeatherAgent", instructions="You are a helpful weather agent.", tools=[get_weather], ) query = "What's the weather like in Portland and in Paris?" 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") async def main() -> None: """Run non-streaming and streaming examples.""" await non_streaming_example() await streaming_example() if __name__ == "__main__": asyncio.run(main())