Files
SergeyMenshykh 3df8fe3c3f .NET: Delete AgentResponse.{Try}Deserialize<T> methods (#3518)
* delete deserialize method of agent response

* order usings

* Update dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step05_StructuredOutput/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/_Foundational/08_WriterCriticWorkflow/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/AGUI/Step05_StateManagement/Server/SharedStateAgent.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/AGUIClientServer/AGUIDojoServer/SharedState/SharedStateAgent.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/M365Agent/Agents/WeatherForecastAgent.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-01-30 14:30:41 +00:00

93 lines
4.0 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to configure an agent to produce structured output.
using System.ComponentModel;
using System.Text.Json;
using System.Text.Json.Serialization;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using SampleApp;
#pragma warning disable CA5399
string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
const string AssistantInstructions = "You are a helpful assistant that extracts structured information about people.";
const string AssistantName = "StructuredOutputAssistant";
// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
// Create ChatClientAgent directly
ChatClientAgent agent = await aiProjectClient.CreateAIAgentAsync(
model: deploymentName,
new ChatClientAgentOptions()
{
Name = AssistantName,
ChatOptions = new()
{
Instructions = AssistantInstructions,
ResponseFormat = Microsoft.Extensions.AI.ChatResponseFormat.ForJsonSchema<PersonInfo>()
}
});
// Set PersonInfo as the type parameter of RunAsync method to specify the expected structured output from the agent and invoke the agent with some unstructured input.
AgentResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>("Please provide information about John Smith, who is a 35-year-old software engineer.");
// Access the structured output via the Result property of the agent response.
Console.WriteLine("Assistant Output:");
Console.WriteLine($"Name: {response.Result.Name}");
Console.WriteLine($"Age: {response.Result.Age}");
Console.WriteLine($"Occupation: {response.Result.Occupation}");
// Create the ChatClientAgent with the specified name, instructions, and expected structured output the agent should produce.
ChatClientAgent agentWithPersonInfo = await aiProjectClient.CreateAIAgentAsync(
model: deploymentName,
new ChatClientAgentOptions()
{
Name = AssistantName,
ChatOptions = new()
{
Instructions = AssistantInstructions,
ResponseFormat = Microsoft.Extensions.AI.ChatResponseFormat.ForJsonSchema<PersonInfo>()
}
});
// Invoke the agent with some unstructured input while streaming, to extract the structured information from.
IAsyncEnumerable<AgentResponseUpdate> updates = agentWithPersonInfo.RunStreamingAsync("Please provide information about John Smith, who is a 35-year-old software engineer.");
// Assemble all the parts of the streamed output, since we can only deserialize once we have the full json,
// then deserialize the response into the PersonInfo class.
PersonInfo personInfo = JsonSerializer.Deserialize<PersonInfo>((await updates.ToAgentResponseAsync()).Text, JsonSerializerOptions.Web)
?? throw new InvalidOperationException("Failed to deserialize the streamed response into PersonInfo.");
Console.WriteLine("Assistant Output:");
Console.WriteLine($"Name: {personInfo.Name}");
Console.WriteLine($"Age: {personInfo.Age}");
Console.WriteLine($"Occupation: {personInfo.Occupation}");
// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
namespace SampleApp
{
/// <summary>
/// Represents information about a person, including their name, age, and occupation, matched to the JSON schema used in the agent.
/// </summary>
[Description("Information about a person including their name, age, and occupation")]
public class PersonInfo
{
[JsonPropertyName("name")]
public string? Name { get; set; }
[JsonPropertyName("age")]
public int? Age { get; set; }
[JsonPropertyName("occupation")]
public string? Occupation { get; set; }
}
}