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.NET: Switch minimal console and a few samples to use latest patterns (#348)

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* Switch minimal console and a few samples to use latest patterns

* Use interpolation for sample output.
This commit is contained in:
westey
2025-08-06 11:01:03 +01:00
committed by GitHub
Unverified
parent ff3e13c2aa
commit ef16774878
9 changed files with 74 additions and 49 deletions
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dotnet/demos/MinimalConsole/MinimalConsole.csproj
+1
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@@ -13,6 +13,7 @@
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
<ProjectReference Include="..\..\src\Microsoft.Extensions.AI.Agents\Microsoft.Extensions.AI.Agents.csproj" />
</ItemGroup>
dotnet/demos/MinimalConsole/Program.cs
+6 -10
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@@ -6,22 +6,18 @@ using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.AI.Agents;
using OpenAI;
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
{
return $"The weather in {location} is cloudy with a high of 15°C.";
}
=> $"The weather in {location} is cloudy with a high of 15°C.";
IChatClient chatClient = new AzureOpenAIClient(
AIAgent agent = new AzureOpenAIClient(
new Uri(Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!),
new AzureCliCredential())
.GetChatClient("gpt-4o-mini")
.AsIChatClient();
AIAgent agent = new ChatClientAgent(
chatClient,
instructions: "You are a helpful assistant, you can help the user with weather information.",
tools: [AIFunctionFactory.Create(GetWeather)]);
.CreateAIAgent(
instructions: "You are a helpful assistant, you can help the user with weather information.",
tools: [AIFunctionFactory.Create(GetWeather)]);
Console.WriteLine(await agent.RunAsync("What's the weather in Amsterdam?"));
dotnet/samples/GettingStarted/Providers/AIAgent_With_AzureAIAgentsPersistent.cs
+12 -8
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@@ -43,11 +43,13 @@ public sealed class AIAgent_With_AzureAIAgentsPersistent(ITestOutputHelper outpu
// Local function to run agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
Console.WriteLine(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
Console.WriteLine(response);
""");
}
// Cleanup
@@ -77,11 +79,13 @@ public sealed class AIAgent_With_AzureAIAgentsPersistent(ITestOutputHelper outpu
// Local function to run agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
Console.WriteLine(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
Console.WriteLine(response);
""");
}
// Cleanup
dotnet/samples/GettingStarted/Providers/AIAgent_With_AzureOpenAIChatCompletion.cs
+6 -4
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@@ -39,11 +39,13 @@ public sealed class AIAgent_With_AzureOpenAIChatCompletion(ITestOutputHelper out
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
this.WriteResponseOutput(response);
""");
}
}
}
dotnet/samples/GettingStarted/Providers/AIAgent_With_OpenAIAssistant.cs
+6 -4
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@@ -43,11 +43,13 @@ public sealed class AIAgent_With_OpenAIAssistant(ITestOutputHelper output) : Age
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
this.WriteResponseOutput(response);
""");
}
// Cleanup
dotnet/samples/GettingStarted/Providers/AIAgent_With_OpenAIClient.cs
+20 -8
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@@ -33,11 +33,13 @@ public sealed class AIAgent_With_OpenAIClient(ITestOutputHelper output) : AgentS
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
Console.WriteLine(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
Console.WriteLine(response.Messages.Last().Text);
""");
}
}
@@ -59,12 +61,17 @@ public sealed class AIAgent_With_OpenAIClient(ITestOutputHelper output) : AgentS
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
Console.WriteLine(input);
Console.WriteLine($"User: {input}");
var response = await agent.RunAsync(input, thread);
var chatCompletion = response.AsChatCompletion();
Console.WriteLine(chatCompletion.Content.Last().Text);
Console.WriteLine(
$"""
Assistant:
{chatCompletion.Content.Last().Text}
""");
}
}
@@ -86,13 +93,18 @@ public sealed class AIAgent_With_OpenAIClient(ITestOutputHelper output) : AgentS
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
Console.WriteLine(input);
Console.WriteLine($"User: {input}");
// Use the OpenAI.Chat message types directly
var chatMessage = new UserChatMessage(input);
var chatCompletion = await agent.RunAsync(chatMessage, thread);
Console.WriteLine(chatCompletion.Content.Last().Text);
Console.WriteLine(
$"""
Assistant:
{chatCompletion.Content.Last().Text}
""");
}
}
}
dotnet/samples/GettingStarted/Providers/AIAgent_With_OpenAIResponseClient.cs
+12 -8
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@@ -37,11 +37,13 @@ public sealed class AIAgent_With_OpenAIResponseClient(ITestOutputHelper output)
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
this.WriteResponseOutput(response);
""");
}
}
@@ -77,11 +79,13 @@ public sealed class AIAgent_With_OpenAIResponseClient(ITestOutputHelper output)
// Local function to invoke agent and display the conversation messages for the thread.
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
Console.WriteLine(
$"""
User: {input}
Assistant:
{await agent.RunAsync(input, thread)}
var response = await agent.RunAsync(input, thread);
this.WriteResponseOutput(response);
""");
}
}
}
dotnet/samples/GettingStarted/Steps/Step01_ChatClientAgent_Running.cs
+7 -4
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@@ -16,6 +16,9 @@ public sealed class Step01_ChatClientAgent_Running(ITestOutputHelper output) : A
private const string ParrotName = "Parrot";
private const string ParrotInstructions = "Repeat the user message in the voice of a pirate and then end with a parrot sound.";
private const string JokerName = "Joker";
private const string JokerInstructions = "You are good at telling jokes.";
/// <summary>
/// Demonstrate the most basic Agent case, where we do not have a server-side agent
/// but just an in-memory agent, backed by an inference service,
@@ -33,7 +36,7 @@ public sealed class Step01_ChatClientAgent_Running(ITestOutputHelper output) : A
IChatClient chatClient = base.GetChatClient(provider);
// Define the agent
AIAgent agent = new ChatClientAgent(chatClient, name: ParrotName, instructions: ParrotInstructions);
AIAgent agent = new ChatClientAgent(chatClient, ParrotInstructions);
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Fortune favors the bold."));
@@ -95,8 +98,8 @@ public sealed class Step01_ChatClientAgent_Running(ITestOutputHelper output) : A
// Define the options for the chat client agent.
var agentOptions = new ChatClientAgentOptions
{
Name = ParrotName,
Instructions = ParrotInstructions,
Name = JokerName,
Instructions = JokerInstructions,
// Get chat options based on the store type, if needed.
ChatOptions = base.GetChatOptions(provider),
@@ -145,7 +148,7 @@ public sealed class Step01_ChatClientAgent_Running(ITestOutputHelper output) : A
public async Task RunStreamingWithThread(ChatClientProviders provider)
{
// Define the options for the chat client agent.
var agentOptions = new ChatClientAgentOptions(name: ParrotName, instructions: ParrotInstructions)
var agentOptions = new ChatClientAgentOptions(name: JokerName, instructions: JokerInstructions)
{
// Get chat options based on the store type, if needed.
ChatOptions = base.GetChatOptions(provider),
dotnet/samples/GettingStarted/Steps/Step04_ChatClientAgent_DependencyInjection.cs
+4 -3
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@@ -9,6 +9,9 @@ namespace Steps;
public sealed class Step04_ChatClientAgent_DependencyInjection(ITestOutputHelper output) : AgentSample(output)
{
private const string JokerName = "Joker";
private const string JokerInstructions = "You are good at telling jokes.";
[Theory]
[InlineData(ChatClientProviders.AzureAIAgentsPersistent)]
[InlineData(ChatClientProviders.AzureOpenAI)]
@@ -20,9 +23,7 @@ public sealed class Step04_ChatClientAgent_DependencyInjection(ITestOutputHelper
// Adding multiple chat clients to the service collection.
var services = new ServiceCollection();
var agentOptions = new ChatClientAgentOptions(
name: "Parrot",
instructions: "Repeat the user message in the voice of a pirate and then end with a parrot sound.");
var agentOptions = new ChatClientAgentOptions(JokerInstructions, JokerName);
services.AddLogging();