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Roger Barreto
139c292807
* Add Gemini model sample * Update Readme * Address Comments * Address format
37 lines
1.5 KiB
C#
37 lines
1.5 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to create and use an AI agent with Google Gemini
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using Google.GenAI;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Mscc.GenerativeAI.Microsoft;
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const string JokerInstructions = "You are good at telling jokes.";
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const string JokerName = "JokerAgent";
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string apiKey = Environment.GetEnvironmentVariable("GOOGLE_GENAI_API_KEY") ?? throw new InvalidOperationException("Please set the GOOGLE_GENAI_API_KEY environment variable.");
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string model = Environment.GetEnvironmentVariable("GOOGLE_GENAI_MODEL") ?? "gemini-2.5-fast";
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// Using a Google GenAI IChatClient implementation
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// Until the PR https://github.com/googleapis/dotnet-genai/pull/81 is not merged this option
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// requires usage of also both GeminiChatClient.cs and GoogleGenAIExtensions.cs polyfills to work.
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ChatClientAgent agentGenAI = new(
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new Client(vertexAI: false, apiKey: apiKey).AsIChatClient(model),
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name: JokerName,
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instructions: JokerInstructions);
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AgentRunResponse response = await agentGenAI.RunAsync("Tell me a joke about a pirate.");
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Console.WriteLine($"Google GenAI client based agent response:\n{response}");
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// Using a community driven Mscc.GenerativeAI.Microsoft package
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ChatClientAgent agentCommunity = new(
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new GeminiChatClient(apiKey, model),
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name: JokerName,
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instructions: JokerInstructions);
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response = await agentCommunity.RunAsync("Tell me a joke about a pirate.");
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Console.WriteLine($"Community client based agent response:\n{response}");
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