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34 lines
1.7 KiB
C#
34 lines
1.7 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample demonstrates how to use an AIProjectClient agent with function tools.
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// It shows both non-streaming and streaming agent interactions using weather tools.
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using System.ComponentModel;
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
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[Description("Get the weather for a given location.")]
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static string GetWeather([Description("The location to get the weather for.")] string location)
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=> $"The weather in {location} is cloudy with a high of 15°C.";
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// Create the agent and provide the function tool to the agent.
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
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.AsAIAgent(model: model, instructions: "You are a helpful assistant", tools: [AIFunctionFactory.Create(GetWeather)]);
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// Non-streaming agent interaction with function tools.
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Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));
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// Streaming agent interaction with function tools.
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await foreach (var update in agent.RunStreamingAsync("What is the weather like in Amsterdam?"))
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{
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Console.WriteLine(update);
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}
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