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This commit is contained in:
wehub-resource-sync
2026-07-13 13:39:25 +08:00
commit db620d33df
5151 changed files with 925932 additions and 0 deletions
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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Agents.ObjectModel" />
<PackageReference Include="Microsoft.Agents.ObjectModel.Json" />
<PackageReference Include="Microsoft.Agents.ObjectModel.PowerFx" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Declarative\Microsoft.Agents.AI.Declarative.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
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// 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-5.4-mini";
// Create the chat client
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
IChatClient chatClient = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.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));
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{
"profiles": {
"GetWeather": {
"commandName": "Project",
"commandLineArgs": "..\\..\\..\\..\\..\\..\\..\\..\\declarative-agents\\agent-samples\\chatclient\\GetWeather.yaml \"What is the weather in Cambridge, MA in °C?\""
},
"Assistant": {
"commandName": "Project",
"commandLineArgs": "..\\..\\..\\..\\..\\..\\..\\..\\declarative-agents\\agent-samples\\chatclient\\Assistant.yaml \"Tell me a joke about a pirate in Italian.\""
}
}
}