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westey
e224f06e60
* Update models used in dotnet samples to gpt-5.4-mini * Fix additional missed sample
37 lines
1.8 KiB
C#
37 lines
1.8 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to use one agent as a function tool for another agent.
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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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[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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string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
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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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AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
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AITool weatherTool = AIFunctionFactory.Create(GetWeather);
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AIAgent weatherAgent = aiProjectClient.AsAIAgent(deploymentName,
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instructions: "You answer questions about the weather.",
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name: "WeatherAgent",
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tools: [weatherTool]);
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AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
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instructions: "You are a helpful assistant who responds in French.",
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name: "MainAgent",
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tools: [weatherAgent.AsAIFunction()]);
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// Invoke the agent and output the text result.
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AgentSession session = await agent.CreateSessionAsync();
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Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", session));
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