// Copyright (c) Microsoft. All rights reserved.
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.Agents.OpenAI;
using Microsoft.SemanticKernel.ChatCompletion;
namespace GettingStarted.OpenAIResponseAgents;
///
/// This example demonstrates using .
///
public class Step01_OpenAIResponseAgent(ITestOutputHelper output) : BaseResponsesAgentTest(output)
{
[Fact]
public async Task UseOpenAIResponseAgentAsync()
{
// Define the agent
OpenAIResponseAgent agent = new(this.Client, this.ModelId)
{
Name = "ResponseAgent",
Instructions = "Answer all queries in English and French.",
};
// Invoke the agent and output the response
var responseItems = agent.InvokeAsync("What is the capital of France?");
await foreach (ChatMessageContent responseItem in responseItems)
{
WriteAgentChatMessage(responseItem);
}
}
[Fact]
public async Task UseOpenAIResponseAgentStreamingAsync()
{
// Define the agent
OpenAIResponseAgent agent = new(this.Client, this.ModelId)
{
Name = "ResponseAgent",
Instructions = "Answer all queries in English and French.",
};
// Invoke the agent and output the response
var responseItems = agent.InvokeStreamingAsync("What is the capital of France?");
await WriteAgentStreamMessageAsync(responseItems);
}
[Fact]
public async Task UseOpenAIResponseAgentWithThreadedConversationAsync()
{
// Define the agent
OpenAIResponseAgent agent = new(this.Client, this.ModelId)
{
Name = "ResponseAgent",
Instructions = "Answer all queries in the users preferred language.",
};
string[] messages =
[
"My name is Bob and my preferred language is French.",
"What is the capital of France?",
"What is the capital of Spain?",
"What is the capital of Italy?"
];
// Initial thread can be null as it will be automatically created
AgentThread? agentThread = null;
// Invoke the agent and output the response
foreach (string message in messages)
{
Console.Write($"Agent Thread Id: {agentThread?.Id}");
var responseItems = agent.InvokeAsync(new ChatMessageContent(AuthorRole.User, message), agentThread);
await foreach (AgentResponseItem responseItem in responseItems)
{
// Update the thread so the previous response id is used
agentThread = responseItem.Thread;
WriteAgentChatMessage(responseItem.Message);
}
}
}
[Fact]
public async Task UseOpenAIResponseAgentWithThreadedConversationStreamingAsync()
{
// Define the agent
OpenAIResponseAgent agent = new(this.Client, this.ModelId)
{
Name = "ResponseAgent",
Instructions = "Answer all queries in the users preferred language.",
};
string[] messages =
[
"My name is Bob and my preferred language is French.",
"What is the capital of France?",
"What is the capital of Spain?",
"What is the capital of Italy?"
];
// Initial thread can be null as it will be automatically created
AgentThread? agentThread = null;
// Invoke the agent and output the response
foreach (string message in messages)
{
Console.Write($"Agent Thread Id: {agentThread?.Id}");
var responseItems = agent.InvokeStreamingAsync(new ChatMessageContent(AuthorRole.User, message), agentThread);
// Update the thread so the previous response id is used
agentThread = await WriteAgentStreamMessageAsync(responseItems);
}
}
[Fact]
public async Task UseOpenAIResponseAgentWithImageContentAsync()
{
// Define the agent
OpenAIResponseAgent agent = new(this.Client, this.ModelId)
{
Name = "ResponseAgent",
Instructions = "Provide a detailed description including the weather conditions.",
};
ICollection messages =
[
new ChatMessageContent(
AuthorRole.User,
items: [
new TextContent("What is in this image?"),
new ImageContent(new Uri("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"))
]
),
];
// Invoke the agent and output the response
var responseItems = agent.InvokeAsync(messages);
await foreach (ChatMessageContent responseItem in responseItems)
{
WriteAgentChatMessage(responseItem);
}
}
}