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44 lines
2.0 KiB
C#
44 lines
2.0 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// Agent as Function Tool — Use one agent as a tool for another
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//
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// This sample shows how to create an AI agent and expose it as a
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// function tool that another agent can call.
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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 deploymentName = 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 it.
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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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AIAgent weatherAgent = aiProjectClient
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.AsAIAgent(
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model: deploymentName,
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instructions: "You answer questions about the weather.",
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name: "WeatherAgent",
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description: "An agent that answers questions about the weather.",
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tools: [AIFunctionFactory.Create(GetWeather)]);
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// Create the main agent, and provide the weather agent as a function tool.
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AIAgent agent = aiProjectClient
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.AsAIAgent(
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model: deploymentName,
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instructions: "You are a helpful assistant who responds in French.",
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tools: [weatherAgent.AsAIFunction()]);
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// Invoke the agent and output the text result.
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Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));
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