.NET: Update HostedAgents samples to Azure.AI.AgentServer.AgentFramework 1.0.0-beta.9 and MEAI 10.3.0 (#4477)

* Initial plan

* Update HostedAgents samples to Azure.AI.AgentServer.AgentFramework 1.0.0-beta.9 and MEAI 10.3.0

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Fix HostedAgents samples for Microsoft.Agents.AI 1.0.0-rc2 API changes

- Rename CreateAIAgent -> AsAIAgent (AgentThreadAndHITL, AgentWithHostedMCP, AgentWithTextSearchRag)
- Rename AsAgent -> AsAIAgent (AgentsInWorkflows)
- Replace AIContextProviderFactory with AIContextProviders and simplified TextSearchProvider ctor (AgentWithTextSearchRag)
- Update Microsoft.Agents.AI.OpenAI to 1.0.0-rc2 (AgentThreadAndHITL, AgentWithTextSearchRag, AgentWithTools)
- Update Microsoft.Agents.AI.Workflows to 1.0.0-rc2 (AgentsInWorkflows)
- Add Microsoft.Agents.AI 1.0.0-rc2 reference (AgentWithHostedMCP)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Update HostedAgents samples for beta.9 API changes and add missing projects to slnx

- Use DefaultAzureCredential consistently across all samples
- Add AgentThreadAndHITL, AgentWithLocalTools, AgentWithTools to slnx
- Apply dotnet format

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Remove unnecessary Microsoft.Agents.AI.* package references (transitive from AgentFramework)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add DefaultAzureCredential production warning comments to all HostedAgents samples

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Update HostedAgents READMEs to reflect DefaultAzureCredential usage

Replace AzureCliCredential references with DefaultAzureCredential in all
HostedAgents README files to match the actual sample code.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Replace Microsoft.Extensions.AI.OpenAI with Microsoft.Agents.AI.OpenAI and remove AsIChatClient()

Swap package references from Microsoft.Extensions.AI.OpenAI to
Microsoft.Agents.AI.OpenAI across all 6 HostedAgents samples. This enables
using the AsAIAgent() extension directly on ChatClient/ResponsesClient
(from OpenAI.Chat/OpenAI.Responses namespaces), removing the intermediate
AsIChatClient() call in 3 samples where it was unnecessary.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use explicit types and AsAIAgent() extensions across all HostedAgents samples

Replace var with explicit types for clarity in all 6 samples. Replace
new ChatClientAgent() constructor calls with chatClient.AsAIAgent()
extension method in AgentWithLocalTools and AgentsInWorkflows.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Copilot
2026-03-06 12:15:10 +00:00
committed by GitHub
Unverified
parent f7e4143c61
commit 7e98b0cd29
17 changed files with 69 additions and 61 deletions
+3
View File
@@ -284,8 +284,11 @@
</Folder>
<Folder Name="/Samples/05-end-to-end/HostedAgents/">
<Project Path="samples/05-end-to-end/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/AgentThreadAndHITL.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/FoundryMultiAgent/FoundryMultiAgent.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/FoundrySingleAgent/FoundrySingleAgent.csproj" />
</Folder>
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -36,11 +36,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.8" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.1-preview.1.25612.2" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -11,9 +11,10 @@ using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Chat;
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";
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
@@ -22,17 +23,19 @@ static string GetWeather([Description("The location to get the weather for.")] s
// Create the chat client and agent.
// Note: ApprovalRequiredAIFunction wraps the tool to require user approval before invocation.
// User should reply with 'approve' or 'reject' when prompted.
// 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.
#pragma warning disable MEAI001 // Type is for evaluation purposes only
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new AzureCliCredential())
new DefaultAzureCredential())
.GetChatClient(deploymentName)
.AsIChatClient()
.CreateAIAgent(
.AsAIAgent(
instructions: "You are a helpful assistant",
tools: [new ApprovalRequiredAIFunction(AIFunctionFactory.Create(GetWeather))]
);
#pragma warning restore MEAI001
var threadRepository = new InMemoryAgentThreadRepository(agent);
InMemoryAgentThreadRepository threadRepository = new(agent);
await agent.RunAIAgentAsync(telemetrySourceName: "Agents", threadRepository: threadRepository);
@@ -35,10 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.6" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.3.0" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -9,9 +9,10 @@ using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
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";
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
// Create an MCP tool that can be called without approval.
AITool mcpTool = new HostedMcpServerTool(serverName: "microsoft_learn", serverAddress: "https://learn.microsoft.com/api/mcp")
@@ -28,8 +29,7 @@ AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.AsIChatClient()
.CreateAIAgent(
.AsAIAgent(
instructions: "You answer questions by searching the Microsoft Learn content only.",
name: "MicrosoftLearnAgent",
tools: [mcpTool]);
@@ -18,7 +18,7 @@ Before running this sample, ensure you have:
2. A deployment of a chat model (e.g., gpt-4o-mini)
3. Azure CLI installed and authenticated
**Note**: This sample uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure OpenAI resource.
**Note**: This sample uses `DefaultAzureCredential` for authentication, which probes multiple sources automatically. For local development, make sure you're logged in with `az login` and have access to the Azure OpenAI resource.
## Environment Variables
@@ -36,11 +36,11 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.8" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.3.0" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -15,21 +15,21 @@ using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
string deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
Console.WriteLine($"Project Endpoint: {endpoint}");
Console.WriteLine($"Model Deployment: {deploymentName}");
var seattleHotels = new[]
{
Hotel[] seattleHotels =
[
new Hotel("Contoso Suites", 189, 4.5, "Downtown"),
new Hotel("Fabrikam Residences", 159, 4.2, "Pike Place Market"),
new Hotel("Alpine Ski House", 249, 4.7, "Seattle Center"),
new Hotel("Margie's Travel Lodge", 219, 4.4, "Waterfront"),
new Hotel("Northwind Inn", 139, 4.0, "Capitol Hill"),
new Hotel("Relecloud Hotel", 99, 3.8, "University District"),
};
];
[Description("Get available hotels in Seattle for the specified dates. This simulates a call to a hotel availability API.")]
string GetAvailableHotels(
@@ -54,21 +54,21 @@ string GetAvailableHotels(
return "Error: Check-out date must be after check-in date.";
}
var nights = (checkOut - checkIn).Days;
var availableHotels = seattleHotels.Where(h => h.PricePerNight <= maxPrice).ToList();
int nights = (checkOut - checkIn).Days;
List<Hotel> availableHotels = seattleHotels.Where(h => h.PricePerNight <= maxPrice).ToList();
if (availableHotels.Count == 0)
{
return $"No hotels found in Seattle within your budget of ${maxPrice}/night.";
}
var result = new StringBuilder();
StringBuilder result = new();
result.AppendLine($"Available hotels in Seattle from {checkInDate} to {checkOutDate} ({nights} nights):");
result.AppendLine();
foreach (var hotel in availableHotels)
foreach (Hotel hotel in availableHotels)
{
var totalCost = hotel.PricePerNight * nights;
int totalCost = hotel.PricePerNight * nights;
result.AppendLine($"**{hotel.Name}**");
result.AppendLine($" Location: {hotel.Location}");
result.AppendLine($" Rating: {hotel.Rating}/5");
@@ -84,7 +84,10 @@ string GetAvailableHotels(
}
}
var credential = new AzureCliCredential();
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
DefaultAzureCredential credential = new();
AIProjectClient projectClient = new(new Uri(endpoint), credential);
ClientConnection connection = projectClient.GetConnection(typeof(AzureOpenAIClient).FullName!);
@@ -96,14 +99,14 @@ if (!connection.TryGetLocatorAsUri(out Uri? openAiEndpoint) || openAiEndpoint is
openAiEndpoint = new Uri($"https://{openAiEndpoint.Host}");
Console.WriteLine($"OpenAI Endpoint: {openAiEndpoint}");
var chatClient = new AzureOpenAIClient(openAiEndpoint, credential)
IChatClient chatClient = new AzureOpenAIClient(openAiEndpoint, credential)
.GetChatClient(deploymentName)
.AsIChatClient()
.AsBuilder()
.UseOpenTelemetry(sourceName: "Agents", configure: cfg => cfg.EnableSensitiveData = false)
.Build();
var agent = new ChatClientAgent(chatClient,
AIAgent agent = chatClient.AsAIAgent(
name: "SeattleHotelAgent",
instructions: """
You are a helpful travel assistant specializing in finding hotels in Seattle, Washington.
@@ -35,11 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.5" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.7.0-beta.2" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.1-preview.1.25612.2" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -11,8 +11,8 @@ using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Chat;
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";
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
TextSearchProviderOptions textSearchOptions = new()
{
@@ -28,13 +28,13 @@ AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetChatClient(deploymentName)
.CreateAIAgent(new ChatClientAgentOptions
.AsAIAgent(new ChatClientAgentOptions
{
ChatOptions = new ChatOptions
{
Instructions = "You are a helpful support specialist for Contoso Outdoors. Answer questions using the provided context and cite the source document when available.",
},
AIContextProviderFactory = ctx => new TextSearchProvider(MockSearchAsync, ctx.SerializedState, ctx.JsonSerializerOptions, textSearchOptions)
AIContextProviders = [new TextSearchProvider(MockSearchAsync, textSearchOptions)]
});
await agent.RunAIAgentAsync();
@@ -35,11 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.8" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.3.0" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -9,13 +9,16 @@ using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
var openAiEndpoint = 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";
var toolConnectionId = Environment.GetEnvironmentVariable("MCP_TOOL_CONNECTION_ID") ?? throw new InvalidOperationException("MCP_TOOL_CONNECTION_ID is not set.");
string openAiEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
string toolConnectionId = Environment.GetEnvironmentVariable("MCP_TOOL_CONNECTION_ID") ?? throw new InvalidOperationException("MCP_TOOL_CONNECTION_ID is not set.");
var credential = new AzureCliCredential();
// 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.
DefaultAzureCredential credential = new();
var chatClient = new AzureOpenAIClient(new Uri(openAiEndpoint), credential)
IChatClient chatClient = new AzureOpenAIClient(new Uri(openAiEndpoint), credential)
.GetChatClient(deploymentName)
.AsIChatClient()
.AsBuilder()
@@ -23,7 +26,7 @@ var chatClient = new AzureOpenAIClient(new Uri(openAiEndpoint), credential)
.UseOpenTelemetry(sourceName: "Agents", configure: (cfg) => cfg.EnableSensitiveData = true)
.Build();
var agent = new ChatClientAgent(chatClient,
AIAgent agent = chatClient.AsAIAgent(
name: "AgentWithTools",
instructions: @"You are a helpful assistant with access to tools for fetching Microsoft documentation.
@@ -6,7 +6,7 @@ Key features:
- Configuring Foundry tools using `UseFoundryTools` with MCP and code interpreter
- Connecting to an external MCP tool via a Foundry project connection
- Using `AzureCliCredential` for Azure authentication
- Using `DefaultAzureCredential` for Azure authentication
- OpenTelemetry instrumentation for both the chat client and agent
> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md).
@@ -36,7 +36,7 @@ $env:MCP_TOOL_CONNECTION_ID="SampleMCPTool"
## How It Works
1. An `AzureOpenAIClient` is created with `AzureCliCredential` and used to get a chat client
1. An `AzureOpenAIClient` is created with `DefaultAzureCredential` and used to get a chat client
2. The chat client is wrapped with `UseFoundryTools` which registers two Foundry tool types:
- **MCP connection**: Connects to an external MCP server (Microsoft Learn) via the project connection name, providing documentation fetch and search capabilities
- **Code interpreter**: Allows the agent to execute code snippets when needed
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -35,11 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.5" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.7.0-beta.2" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.0-preview.1.25608.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -12,8 +12,8 @@ using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
// Set up the Azure OpenAI client
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";
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
@@ -32,9 +32,9 @@ AIAgent agent = new WorkflowBuilder(frenchAgent)
.AddEdge(frenchAgent, spanishAgent)
.AddEdge(spanishAgent, englishAgent)
.Build()
.AsAgent();
.AsAIAgent();
await agent.RunAIAgentAsync();
static ChatClientAgent GetTranslationAgent(string targetLanguage, IChatClient chatClient) =>
new(chatClient, $"You are a translation assistant that translates the provided text to {targetLanguage}.");
static AIAgent GetTranslationAgent(string targetLanguage, IChatClient chatClient) =>
chatClient.AsAIAgent($"You are a translation assistant that translates the provided text to {targetLanguage}.");
@@ -19,7 +19,7 @@ Before you begin, ensure you have the following prerequisites:
- Azure OpenAI service endpoint and deployment configured
- Azure CLI installed and authenticated (for Azure credential authentication)
**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure OpenAI resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
**Note**: This demo uses `DefaultAzureCredential` for authentication, which probes multiple sources automatically. For local development, make sure you're logged in with `az login` and have access to the Azure OpenAI resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
Set the following environment variables:
@@ -25,7 +25,7 @@ Before running any sample, ensure you have:
### Authenticate with Azure CLI
All samples use `AzureCliCredential` for authentication. Make sure you're logged in:
All samples use `DefaultAzureCredential` for authentication, which automatically probes multiple credential sources (environment variables, managed identity, Azure CLI, etc.). For local development, the simplest approach is to authenticate via Azure CLI:
```powershell
az login