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test
2026-01-24 03:05:12 +11:00

56 lines
2.1 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to load an AI agent from a YAML file and process a prompt using Azure OpenAI as the backend.
using System.ComponentModel;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
// Create the chat client
IChatClient chatClient = new AzureOpenAIClient(
new Uri(endpoint),
new AzureCliCredential())
.GetChatClient(deploymentName)
.AsIChatClient();
// Read command-line arguments
if (args.Length < 2)
{
Console.WriteLine("Usage: DeclarativeAgents <yaml-file-path> <prompt>");
Console.WriteLine(" <yaml-file-path>: The path to the YAML file containing the agent definition");
Console.WriteLine(" <prompt>: The prompt to send to the agent");
return;
}
var yamlFilePath = args[0];
var prompt = args[1];
// Verify the YAML file exists
if (!File.Exists(yamlFilePath))
{
Console.WriteLine($"Error: File not found: {yamlFilePath}");
return;
}
// Read the YAML content from the file
var text = await File.ReadAllTextAsync(yamlFilePath);
// Example function tool that can be used by the agent.
[Description("Get the weather for a given location.")]
static string GetWeather(
[Description("The city and state, e.g. San Francisco, CA")] string location,
[Description("The unit of temperature. Possible values are 'celsius' and 'fahrenheit'.")] string unit)
=> $"The weather in {location} is cloudy with a high of {(unit.Equals("celsius", StringComparison.Ordinal) ? "15°C" : "59°F")}.";
// Create the agent from the YAML definition.
var agentFactory = new ChatClientPromptAgentFactory(chatClient, [AIFunctionFactory.Create(GetWeather, "GetWeather")]);
var agent = await agentFactory.CreateFromYamlAsync(text);
// Invoke the agent and output the text result.
Console.WriteLine(await agent!.RunAsync(prompt));