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.NET: Update to OpenAI 2.9.1, Azure.AI.OpenAI 2.9.0-beta.1, Microsoft.Extensions.AI 10.4.0, and Azure.AI.Projects 2.0.0-beta.2 (#4613)

Browse Source 
* Initial plan

* Update code for Microsoft.Extensions.AI.Abstractions 10.4.0 breaking changes

- Rename FunctionApprovalRequestContent → ToolApprovalRequestContent
- Rename FunctionApprovalResponseContent → ToolApprovalResponseContent
- Rename UserInputRequestContent → ToolApprovalRequestContent
- Rename UserInputResponseContent → ToolApprovalResponseContent
- Update .FunctionCall property → .ToolCall with FunctionCallContent casts where needed
- Update .Id property → .RequestId on the renamed types
- Rename FunctionApprovalRequestEventGenerator → ToolApprovalRequestEventGenerator
- Rename FunctionApprovalResponseEventGenerator → ToolApprovalResponseEventGenerator

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

* Update OpenAI 2.9.1, ME.AI 10.4.0, fix breaking API changes

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Fix remaining ME.AI 10.4.0 breaking changes: MCP approval types, .Output→.Outputs

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Use pattern matching with `when` for ToolApprovalRequestContent/FunctionCallContent

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Update Azure.AI.OpenAI to 2.9.0-beta.1

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Fix remaining GetResponsesClient(model) build failures for Azure.AI.OpenAI 2.9.0-beta.1

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Address review feedback: remove redundant type checks in TestRequestAgent.cs and fix error message in AIAgentHostExecutor.cs

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Update Azure.AI.Projects to 2.0.0-beta.2 with namespace migration

- Azure.AI.Projects 2.0.0-beta.1 → 2.0.0-beta.2
- Azure.AI.Projects.OpenAI → Azure.AI.Extensions.OpenAI (transitive)
- Agent types moved to Azure.AI.Projects.Agents namespace
- AgentRecord.Versions.Latest → AgentRecord.GetLatestVersion()
- OpenAPIFunctionDefinition → OpenApiFunctionDefinition
- BingCustomSearchToolParameters → BingCustomSearchToolOptions
- MemorySearchPreviewTool.UpdateDelay → UpdateDelayInSecs
- Azure.Identity 1.17.1 → 1.19.0
- Microsoft.Identity.Client.Extensions.Msal 4.78.0 → 4.83.1

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

* Fix remaining type renames for Azure.AI.Projects 2.0.0-beta.2

- BrowserAutomationToolParameters → BrowserAutomationToolOptions
- MemoryUpdateOptions.UpdateDelay stays as UpdateDelay (not renamed)
- WaitForMemoriesUpdateAsync parameter order: pollingInterval before options
- AIProjectAgentsOperations → AgentsClient

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

* Fix format errors and OpenTelemetry test for ME.AI 10.4.0

- Remove unused 'using Azure.AI.Extensions.OpenAI' and fix import ordering
  in Agent_With_AzureAIProject/Program.cs
- Update OpenTelemetryAgentTests: gen_ai.tool.definitions is now always
  emitted regardless of EnableSensitiveData per ME.AI 10.4.0 change
  (dotnet/extensions#7346). Tool definitions are not considered sensitive.

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

* Fix GetRepoFolder() to work in git worktrees

Use 'workflow-samples' directory as repo root marker instead of '.git',
which fails in worktrees (.git is a file) and also matches too early
when a '.github' folder exists in subdirectories.

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

* Fix formatting: remove unused usings and fix import ordering

dotnet format applied across 59 impacted projects. Primarily removes
unnecessary 'using Azure.AI.Projects' where Azure.AI.Projects.Agents
provides all needed types, and fixes import ordering per editorconfig.

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

* Disable AzureAIAgentsPersistent integration tests (#4769)

Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
which was removed in ME.AI 10.4.0 (renamed to ToolApprovalResponseContent), causing
TypeLoadException at runtime. Mark all 6 test classes with IntegrationDisabled trait
until Persistent ships a version targeting ME.AI 10.4.0+.

Upstream fix: https://github.com/Azure/azure-sdk-for-net/pull/56929

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

* Add README with compatibility note for AzureAI.Persistent (#4769)

Documents that Azure.AI.Agents.Persistent 1.2.0-beta.9 is only compatible
with ME.AI ≤10.3.0 and OpenAI ≤2.8.0 due to type renames in ME.AI 10.4.0.

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

* Fix file encoding: restore UTF-8 BOM on Persistent test files

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

* Mark AzureAI.Persistent as IsPackable=false (#4769)

Prevent shipping until Azure.AI.Agents.Persistent targets ME.AI 10.4.0+.

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

* Moving IsPackable after import

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
This commit is contained in:
Copilot
2026-03-20 14:29:29 +00:00
committed by GitHub
co-authored by Copilot copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> stephentoub rogerbarreto
parent 8edcb282f4
commit 88ea9d08c7
101 changed files with 464 additions and 358 deletions
Download Patch File Download Diff File Expand all files Collapse all files
dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Client/Program.cs
+8 -8
View File
@@ -59,14 +59,14 @@ while ((input = Console.ReadLine()) != null && !input.Equals("exit", StringCompa
{
switch (content)
{
case FunctionApprovalRequestContent approvalRequest:
DisplayApprovalRequest(approvalRequest);
case ToolApprovalRequestContent approvalRequest when approvalRequest.ToolCall is FunctionCallContent fcc:
DisplayApprovalRequest(approvalRequest, fcc);
Console.Write($"\nApprove '{approvalRequest.FunctionCall.Name}'? (yes/no): ");
Console.Write($"\nApprove '{fcc.Name}'? (yes/no): ");
string? userInput = Console.ReadLine();
bool approved = userInput?.ToUpperInvariant() is "YES" or "Y";
FunctionApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved);
ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved);
if (approvalRequest.AdditionalProperties != null)
{
@@ -128,19 +128,19 @@ while ((input = Console.ReadLine()) != null && !input.Equals("exit", StringCompa
}
#pragma warning disable MEAI001
static void DisplayApprovalRequest(FunctionApprovalRequestContent approvalRequest)
static void DisplayApprovalRequest(ToolApprovalRequestContent approvalRequest, FunctionCallContent fcc)
{
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine();
Console.WriteLine("============================================================");
Console.WriteLine("APPROVAL REQUIRED");
Console.WriteLine("============================================================");
Console.WriteLine($"Function: {approvalRequest.FunctionCall.Name}");
Console.WriteLine($"Function: {fcc.Name}");
if (approvalRequest.FunctionCall.Arguments != null)
if (fcc.Arguments != null)
{
Console.WriteLine("Arguments:");
foreach (var arg in approvalRequest.FunctionCall.Arguments)
foreach (var arg in fcc.Arguments)
{
Console.WriteLine($" {arg.Key} = {arg.Value}");
}
dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Client/ServerFunctionApprovalClientAgent.cs
+12 -12
View File
@@ -9,7 +9,7 @@ using ServerFunctionApproval;
/// <summary>
/// A delegating agent that handles server function approval requests and responses.
/// Transforms between FunctionApprovalRequestContent/FunctionApprovalResponseContent
/// Transforms between ToolApprovalRequestContent/ToolApprovalResponseContent
/// and the server's request_approval tool call pattern.
/// </summary>
internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
@@ -50,14 +50,14 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
}
#pragma warning disable MEAI001 // Type is for evaluation purposes only
private static FunctionResultContent ConvertApprovalResponseToToolResult(FunctionApprovalResponseContent approvalResponse, JsonSerializerOptions jsonOptions)
private static FunctionResultContent ConvertApprovalResponseToToolResult(ToolApprovalResponseContent approvalResponse, JsonSerializerOptions jsonOptions)
{
return new FunctionResultContent(
callId: approvalResponse.Id,
callId: approvalResponse.RequestId,
result: JsonSerializer.SerializeToElement(
new ApprovalResponse
{
ApprovalId = approvalResponse.Id,
ApprovalId = approvalResponse.RequestId,
Approved = approvalResponse.Approved
},
jsonOptions));
@@ -89,7 +89,7 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
{
List<ChatMessage>? result = null;
Dictionary<string, FunctionApprovalRequestContent> approvalRequests = [];
Dictionary<string, ToolApprovalRequestContent> approvalRequests = [];
for (var messageIndex = 0; messageIndex < messages.Count; messageIndex++)
{
var message = messages[messageIndex];
@@ -102,21 +102,21 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
var content = message.Contents[contentIndex];
// Handle pending approval requests (transform to tool call)
if (content is FunctionApprovalRequestContent approvalRequest &&
if (content is ToolApprovalRequestContent approvalRequest &&
approvalRequest.AdditionalProperties?.TryGetValue("original_function", out var originalFunction) == true &&
originalFunction is FunctionCallContent original)
{
approvalRequests[approvalRequest.Id] = approvalRequest;
approvalRequests[approvalRequest.RequestId] = approvalRequest;
transformedContents ??= CopyContentsUpToIndex(message.Contents, contentIndex);
transformedContents.Add(original);
}
// Handle pending approval responses (transform to tool result)
else if (content is FunctionApprovalResponseContent approvalResponse &&
approvalRequests.TryGetValue(approvalResponse.Id, out var correspondingRequest))
else if (content is ToolApprovalResponseContent approvalResponse &&
approvalRequests.TryGetValue(approvalResponse.RequestId, out var correspondingRequest))
{
transformedContents ??= CopyContentsUpToIndex(message.Contents, contentIndex);
transformedContents.Add(ConvertApprovalResponseToToolResult(approvalResponse, jsonSerializerOptions));
approvalRequests.Remove(approvalResponse.Id);
approvalRequests.Remove(approvalResponse.RequestId);
correspondingRequest.AdditionalProperties?.Remove("original_function");
}
// Skip historical approval content
@@ -198,8 +198,8 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
var functionCallArgs = (Dictionary<string, object?>?)approvalRequest.FunctionArguments?
.Deserialize(jsonSerializerOptions.GetTypeInfo(typeof(Dictionary<string, object?>)));
var approvalRequestContent = new FunctionApprovalRequestContent(
id: approvalRequest.ApprovalId,
var approvalRequestContent = new ToolApprovalRequestContent(
requestId: approvalRequest.ApprovalId,
new FunctionCallContent(
callId: approvalRequest.ApprovalId,
name: approvalRequest.FunctionName,
dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Server/ServerFunctionApprovalServerAgent.cs
+8 -9
View File
@@ -9,7 +9,7 @@ using ServerFunctionApproval;
/// <summary>
/// A delegating agent that handles function approval requests on the server side.
/// Transforms between FunctionApprovalRequestContent/FunctionApprovalResponseContent
/// Transforms between ToolApprovalRequestContent/ToolApprovalResponseContent
/// and the request_approval tool call pattern for client communication.
/// </summary>
internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
@@ -50,7 +50,7 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
}
#pragma warning disable MEAI001 // Type is for evaluation purposes only
private static FunctionApprovalRequestContent ConvertToolCallToApprovalRequest(FunctionCallContent toolCall, JsonSerializerOptions jsonSerializerOptions)
private static ToolApprovalRequestContent ConvertToolCallToApprovalRequest(FunctionCallContent toolCall, JsonSerializerOptions jsonSerializerOptions)
{
if (toolCall.Name != "request_approval" || toolCall.Arguments == null)
{
@@ -67,15 +67,15 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
throw new InvalidOperationException("Failed to deserialize approval request from tool call");
}
return new FunctionApprovalRequestContent(
id: request.ApprovalId,
return new ToolApprovalRequestContent(
requestId: request.ApprovalId,
new FunctionCallContent(
callId: request.ApprovalId,
name: request.FunctionName,
arguments: request.FunctionArguments));
}
private static FunctionApprovalResponseContent ConvertToolResultToApprovalResponse(FunctionResultContent result, FunctionApprovalRequestContent approval, JsonSerializerOptions jsonSerializerOptions)
private static ToolApprovalResponseContent ConvertToolResultToApprovalResponse(FunctionResultContent result, ToolApprovalRequestContent approval, JsonSerializerOptions jsonSerializerOptions)
{
var approvalResponse = result.Result is JsonElement je ?
(ApprovalResponse?)je.Deserialize(jsonSerializerOptions.GetTypeInfo(typeof(ApprovalResponse))) :
@@ -121,7 +121,7 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
// Track approval ID to original call ID mapping
_ = new Dictionary<string, string>();
#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
Dictionary<string, FunctionApprovalRequestContent> trackedRequestApprovalToolCalls = new(); // Remote approvals
Dictionary<string, ToolApprovalRequestContent> trackedRequestApprovalToolCalls = new(); // Remote approvals
for (int messageIndex = 0; messageIndex < messages.Count; messageIndex++)
{
var message = messages[messageIndex];
@@ -181,11 +181,10 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
{
var content = update.Contents[i];
#pragma warning disable MEAI001 // Type is for evaluation purposes only
if (content is FunctionApprovalRequestContent request)
if (content is ToolApprovalRequestContent request && request.ToolCall is FunctionCallContent functionCall)
{
updatedContents ??= [.. update.Contents];
var functionCall = request.FunctionCall;
var approvalId = request.Id;
var approvalId = request.RequestId;
var approvalData = new ApprovalRequest
{
dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to create and use a AI agents with Azure Foundry Agents as the backend.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Program.cs
+4 -4
View File
@@ -17,8 +17,8 @@ var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
.GetResponsesClient()
.AsAIAgent(model: deploymentName, instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
@@ -29,8 +29,8 @@ Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
AIAgent agentStoreFalse = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.AsIChatClientWithStoredOutputDisabled()
.GetResponsesClient()
.AsIChatClientWithStoredOutputDisabled(model: deploymentName)
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent and output the text result.
dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Program.cs
+2 -2
View File
@@ -11,8 +11,8 @@ var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt
AIAgent agent = new OpenAIClient(
apiKey)
.GetResponsesClient(model)
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
.GetResponsesClient()
.AsAIAgent(model: model, instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Program.cs
+3 -2
View File
@@ -23,7 +23,7 @@ var skillsProvider = new FileAgentSkillsProvider(skillPath: Path.Combine(AppCont
// --- Agent Setup ---
AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.GetResponsesClient()
.AsAIAgent(new ChatClientAgentOptions
{
Name = "SkillsAgent",
@@ -32,7 +32,8 @@ AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredent
Instructions = "You are a helpful assistant.",
},
AIContextProviders = [skillsProvider],
});
},
model: deploymentName);
// --- Example 1: Expense policy question (loads FAQ resource) ---
Console.WriteLine("Example 1: Checking expense policy FAQ");
dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Program.cs
+2 -2
View File
@@ -10,8 +10,8 @@ var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new I
var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5";
var client = new OpenAIClient(apiKey)
.GetResponsesClient(model)
.AsIChatClient().AsBuilder()
.GetResponsesClient()
.AsIChatClient(model).AsBuilder()
.ConfigureOptions(o =>
{
o.Reasoning = new()
dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/OpenAIResponseClientAgent.cs
+6 -3
View File
@@ -20,19 +20,21 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
/// <param name="instructions">Optional instructions for the agent.</param>
/// <param name="name">Optional name for the agent.</param>
/// <param name="description">Optional description for the agent.</param>
/// <param name="model">Optional default model ID to use for requests. Required when using a plain <see cref="ResponsesClient"/> (not via Azure OpenAI).</param>
/// <param name="loggerFactory">Optional instance of <see cref="ILoggerFactory"/></param>
public OpenAIResponseClientAgent(
ResponsesClient client,
string? instructions = null,
string? name = null,
string? description = null,
string? model = null,
ILoggerFactory? loggerFactory = null) :
this(client, new()
{
Name = name,
Description = description,
ChatOptions = new ChatOptions() { Instructions = instructions },
}, loggerFactory)
}, model, loggerFactory)
{
}
@@ -41,10 +43,11 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
/// </summary>
/// <param name="client">Instance of <see cref="ResponsesClient"/></param>
/// <param name="options">Options to create the agent.</param>
/// <param name="model">Optional default model ID to use for requests. Required when using a plain <see cref="ResponsesClient"/> (not via Azure OpenAI).</param>
/// <param name="loggerFactory">Optional instance of <see cref="ILoggerFactory"/></param>
public OpenAIResponseClientAgent(
ResponsesClient client, ChatClientAgentOptions options, ILoggerFactory? loggerFactory = null) :
base(new ChatClientAgent((client ?? throw new ArgumentNullException(nameof(client))).AsIChatClient(), options, loggerFactory))
ResponsesClient client, ChatClientAgentOptions options, string? model = null, ILoggerFactory? loggerFactory = null) :
base(new ChatClientAgent((client ?? throw new ArgumentNullException(nameof(client))).AsIChatClient(model), options, loggerFactory))
{
}
dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs
+2 -2
View File
@@ -10,10 +10,10 @@ var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new I
var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
// Create a ResponsesClient directly from OpenAIClient
ResponsesClient responseClient = new OpenAIClient(apiKey).GetResponsesClient(model);
ResponsesClient responseClient = new OpenAIClient(apiKey).GetResponsesClient();
// Create an agent directly from the ResponsesClient using OpenAIResponseClientAgent
OpenAIResponseClientAgent agent = new(responseClient, instructions: "You are good at telling jokes.", name: "Joker");
OpenAIResponseClientAgent agent = new(responseClient, instructions: "You are good at telling jokes.", name: "Joker", model: model);
ResponseItem userMessage = ResponseItem.CreateUserMessageItem("Tell me a joke about a pirate.");
dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Program.cs
+1 -1
View File
@@ -22,7 +22,7 @@ OpenAIClient openAIClient = new(apiKey);
ConversationClient conversationClient = openAIClient.GetConversationClient();
// Create an agent directly from the ResponsesClient using OpenAIResponseClientAgent
ChatClientAgent agent = new(openAIClient.GetResponsesClient(model).AsIChatClient(), instructions: "You are a helpful assistant.", name: "ConversationAgent");
ChatClientAgent agent = new(openAIClient.GetResponsesClient().AsIChatClient(model), instructions: "You are a helpful assistant.", name: "ConversationAgent");
ClientResult createConversationResult = await conversationClient.CreateConversationAsync(BinaryContent.Create(BinaryData.FromString("{}")));
dotnet/samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Program.cs
+5 -5
View File
@@ -36,11 +36,11 @@ AIAgent agent = new AzureOpenAIClient(
// For simplicity, we are assuming here that only function approvals are pending.
AgentSession session = await agent.CreateSessionAsync();
AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
// For streaming use:
// var updates = await agent.RunStreamingAsync("What is the weather like in Amsterdam?", session).ToListAsync();
// approvalRequests = updates.SelectMany(x => x.Contents).OfType<FunctionApprovalRequestContent>().ToList();
// approvalRequests = updates.SelectMany(x => x.Contents).OfType<ToolApprovalRequestContent>().ToList();
while (approvalRequests.Count > 0)
{
@@ -48,18 +48,18 @@ while (approvalRequests.Count > 0)
List<ChatMessage> userInputResponses = approvalRequests
.ConvertAll(functionApprovalRequest =>
{
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {((FunctionCallContent)functionApprovalRequest.ToolCall).Name}");
return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
});
// Pass the user input responses back to the agent for further processing.
response = await agent.RunAsync(userInputResponses, session);
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
// For streaming use:
// updates = await agent.RunStreamingAsync(userInputResponses, session).ToListAsync();
// approvalRequests = updates.SelectMany(x => x.Contents).OfType<FunctionApprovalRequestContent>().ToList();
// approvalRequests = updates.SelectMany(x => x.Contents).OfType<ToolApprovalRequestContent>().ToList();
}
Console.WriteLine($"\nAgent: {response}");
dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs
+2 -1
View File
@@ -25,8 +25,9 @@ var stateStore = new Dictionary<string, JsonElement?>();
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.GetResponsesClient()
.AsAIAgent(
model: deploymentName,
name: "SpaceNovelWriter",
instructions: "You are a space novel writer. Always research relevant facts and generate character profiles for the main characters before writing novels." +
"Write complete chapters without asking for approval or feedback. Do not ask the user about tone, style, pace, or format preferences - just write the novel based on the request.",
dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/Program.cs
+3 -3
View File
@@ -246,7 +246,7 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
AgentResponse response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
// For simplicity, we are assuming here that only function approvals are pending.
List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
while (approvalRequests.Count > 0)
{
@@ -255,13 +255,13 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
response.Messages = approvalRequests
.ConvertAll(functionApprovalRequest =>
{
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {((FunctionCallContent)functionApprovalRequest.ToolCall).Name}");
return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
});
response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
}
return response;
dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs
+2 -2
View File
@@ -16,8 +16,8 @@ var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.AsAIAgent();
.GetResponsesClient()
.AsAIAgent(model: deploymentName);
// Enable background responses (only supported by OpenAI Responses at this time).
AgentRunOptions options = new() { AllowBackgroundResponses = true };
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step01.1_Basics/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to create and use AI agents with Azure Foundry Agents as the backend.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step01.2_Running/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to create and use a simple AI agent with Azure Foundry Agents as the backend.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step02_MultiturnConversation/Program.cs
+2 -1
View File
@@ -2,8 +2,9 @@
// This sample shows how to create and use a simple AI agent with a multi-turn conversation.
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/Program.cs
+3 -3
View File
@@ -40,7 +40,7 @@ AgentResponse response = await agent.RunAsync("What is the weather like in Amste
// Check if there are any approval requests.
// For simplicity, we are assuming here that only function approvals are pending.
List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
while (approvalRequests.Count > 0)
{
@@ -48,7 +48,7 @@ while (approvalRequests.Count > 0)
List<ChatMessage> userInputMessages = approvalRequests
.ConvertAll(functionApprovalRequest =>
{
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {((FunctionCallContent)functionApprovalRequest.ToolCall).Name}");
bool approved = Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false;
return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(approved)]);
});
@@ -56,7 +56,7 @@ while (approvalRequests.Count > 0)
// Pass the user input responses back to the agent for further processing.
response = await agent.RunAsync(userInputMessages, session);
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
}
Console.WriteLine($"\nAgent: {response}");
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step12_Middleware/Program.cs
+3 -3
View File
@@ -197,7 +197,7 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
AgentResponse response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
// For simplicity, we are assuming here that only function approvals are pending.
List<FunctionApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
while (approvalRequests.Count > 0)
{
@@ -206,14 +206,14 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
response.Messages = approvalRequests
.ConvertAll(functionApprovalRequest =>
{
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {functionApprovalRequest.FunctionCall.Name}");
Console.WriteLine($"The agent would like to invoke the following function, please reply Y to approve: Name {((FunctionCallContent)functionApprovalRequest.ToolCall).Name}");
bool approved = Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false;
return new ChatMessage(ChatRole.User, [functionApprovalRequest.CreateResponse(approved)]);
});
response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>().ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
}
return response;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step14_CodeInterpreter/Program.cs
+1 -1
View File
@@ -4,7 +4,7 @@
using System.Text;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step15_ComputerUse/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to use Computer Use Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step16_FileSearch/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to use File Search Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step17_OpenAPITools/Program.cs
+2 -2
View File
@@ -3,7 +3,7 @@
// This sample shows how to use OpenAPI Tools with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
@@ -72,7 +72,7 @@ const string CountriesOpenApiSpec = """
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
// Create the OpenAPI function definition
var openApiFunction = new OpenAPIFunctionDefinition(
var openApiFunction = new OpenApiFunctionDefinition(
"get_countries",
BinaryData.FromString(CountriesOpenApiSpec),
new OpenAPIAnonymousAuthenticationDetails())
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step18_BingCustomSearch/Program.cs
+2 -2
View File
@@ -3,7 +3,7 @@
// This sample shows how to use Bing Custom Search Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
@@ -25,7 +25,7 @@ const string AgentInstructions = """
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
// Bing Custom Search tool parameters shared by both options
BingCustomSearchToolParameters bingCustomSearchToolParameters = new([
BingCustomSearchToolOptions bingCustomSearchToolParameters = new([
new BingCustomSearchConfiguration(connectionId, instanceName)
]);
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step19_SharePoint/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to use SharePoint Grounding Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step20_MicrosoftFabric/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to use Microsoft Fabric Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step21_WebSearch/Program.cs
+1 -1
View File
@@ -3,7 +3,7 @@
// This sample shows how to use the Responses API Web Search Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/FoundryAgents_Step22_MemorySearch.csproj
-1
View File
@@ -13,7 +13,6 @@
<PackageReference Include="Microsoft.Extensions.Logging.Console" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.AI.Projects.OpenAI" />
</ItemGroup>
<ItemGroup>
dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/Program.cs
+5 -4
View File
@@ -4,8 +4,9 @@
// The Memory Search Tool enables agents to recall information from previous conversations,
// supporting user profile persistence and chat summaries across sessions.
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
@@ -36,7 +37,7 @@ AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
await EnsureMemoryStoreAsync();
// Create the Memory Search tool configuration
MemorySearchPreviewTool memorySearchTool = new(memoryStoreName, userScope) { UpdateDelay = 0 };
MemorySearchPreviewTool memorySearchTool = new(memoryStoreName, userScope) { UpdateDelayInSecs = 0 };
// Create agent using Option 1 (MEAI) or Option 2 (Native SDK)
AIAgent agent = await CreateAgentWithMEAI();
@@ -128,8 +129,8 @@ async Task EnsureMemoryStoreAsync()
MemoryUpdateResult updateResult = await aiProjectClient.MemoryStores.WaitForMemoriesUpdateAsync(
memoryStoreName: memoryStoreName,
options: memoryOptions,
pollingInterval: 500);
pollingInterval: 500,
options: memoryOptions);
if (updateResult.Status == MemoryStoreUpdateStatus.Failed)
{
dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
+6 -5
View File
@@ -81,7 +81,7 @@ AIAgent agentWithRequiredApproval = await persistentAgentsClient.CreateAIAgentAs
// For simplicity, we are assuming here that only mcp tool approvals are pending.
AgentSession sessionWithRequiredApproval = await agentWithRequiredApproval.CreateSessionAsync();
AgentResponse response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
List<McpServerToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
while (approvalRequests.Count > 0)
{
@@ -89,11 +89,12 @@ while (approvalRequests.Count > 0)
List<ChatMessage> userInputResponses = approvalRequests
.ConvertAll(approvalRequest =>
{
McpServerToolCallContent mcpToolCall = (McpServerToolCallContent)approvalRequest.ToolCall!;
Console.WriteLine($"""
The agent would like to invoke the following MCP Tool, please reply Y to approve.
ServerName: {approvalRequest.ToolCall.ServerName}
Name: {approvalRequest.ToolCall.ToolName}
Arguments: {string.Join(", ", approvalRequest.ToolCall.Arguments?.Select(x => $"{x.Key}: {x.Value}") ?? [])}
ServerName: {mcpToolCall.ServerName}
Name: {mcpToolCall.Name}
Arguments: {string.Join(", ", mcpToolCall.Arguments?.Select(x => $"{x.Key}: {x.Value}") ?? [])}
""");
return new ChatMessage(ChatRole.User, [approvalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
});
@@ -101,7 +102,7 @@ while (approvalRequests.Count > 0)
// Pass the user input responses back to the agent for further processing.
response = await agentWithRequiredApproval.RunAsync(userInputResponses, sessionWithRequiredApproval);
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
}
Console.WriteLine($"\nAgent: {response}");
dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs
+10 -7
View File
@@ -33,8 +33,9 @@ var mcpTool = new HostedMcpServerTool(
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.GetResponsesClient()
.AsAIAgent(
model: deploymentName,
instructions: "You answer questions by searching the Microsoft Learn content only.",
name: "MicrosoftLearnAgent",
tools: [mcpTool]);
@@ -60,8 +61,9 @@ var mcpToolWithApproval = new HostedMcpServerTool(
AIAgent agentWithRequiredApproval = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.GetResponsesClient()
.AsAIAgent(
model: deploymentName,
instructions: "You answer questions by searching the Microsoft Learn content only.",
name: "MicrosoftLearnAgentWithApproval",
tools: [mcpToolWithApproval]);
@@ -70,7 +72,7 @@ AIAgent agentWithRequiredApproval = new AzureOpenAIClient(
// For simplicity, we are assuming here that only mcp tool approvals are pending.
AgentSession sessionWithRequiredApproval = await agentWithRequiredApproval.CreateSessionAsync();
AgentResponse response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
List<McpServerToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
List<ToolApprovalRequestContent> approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
while (approvalRequests.Count > 0)
{
@@ -78,11 +80,12 @@ while (approvalRequests.Count > 0)
List<ChatMessage> userInputResponses = approvalRequests
.ConvertAll(approvalRequest =>
{
McpServerToolCallContent mcpToolCall = (McpServerToolCallContent)approvalRequest.ToolCall!;
Console.WriteLine($"""
The agent would like to invoke the following MCP Tool, please reply Y to approve.
ServerName: {approvalRequest.ToolCall.ServerName}
Name: {approvalRequest.ToolCall.ToolName}
Arguments: {string.Join(", ", approvalRequest.ToolCall.Arguments?.Select(x => $"{x.Key}: {x.Value}") ?? [])}
ServerName: {mcpToolCall.ServerName}
Name: {mcpToolCall.Name}
Arguments: {string.Join(", ", mcpToolCall.Arguments?.Select(x => $"{x.Key}: {x.Value}") ?? [])}
""");
return new ChatMessage(ChatRole.User, [approvalRequest.CreateResponse(Console.ReadLine()?.Equals("Y", StringComparison.OrdinalIgnoreCase) ?? false)]);
});
@@ -90,7 +93,7 @@ while (approvalRequests.Count > 0)
// Pass the user input responses back to the agent for further processing.
response = await agentWithRequiredApproval.RunAsync(userInputResponses, sessionWithRequiredApproval);
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<McpServerToolApprovalRequestContent>().ToList();
approvalRequests = response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>().ToList();
}
Console.WriteLine($"\nAgent: {response}");
dotnet/samples/03-workflows/Agents/GroupChatToolApproval/Program.cs
+5 -5
View File
@@ -17,7 +17,7 @@
//
// Demonstrate:
// - Using custom GroupChatManager with agents that have approval-required tools.
// - Handling FunctionApprovalRequestContent in group chat scenarios.
// - Handling ToolApprovalRequestContent in group chat scenarios.
// - Multi-round group chat with tool approval interruption and resumption.
using System.ComponentModel;
@@ -101,16 +101,16 @@ public static class Program
{
case RequestInfoEvent e:
{
if (e.Request.TryGetDataAs(out FunctionApprovalRequestContent? approvalRequestContent))
if (e.Request.TryGetDataAs(out ToolApprovalRequestContent? approvalRequestContent))
{
Console.WriteLine();
Console.WriteLine($"[APPROVAL REQUIRED] From agent: {e.Request.PortInfo.PortId}");
Console.WriteLine($" Tool: {approvalRequestContent.FunctionCall.Name}");
Console.WriteLine($" Arguments: {JsonSerializer.Serialize(approvalRequestContent.FunctionCall.Arguments)}");
Console.WriteLine($" Tool: {((FunctionCallContent)approvalRequestContent.ToolCall).Name}");
Console.WriteLine($" Arguments: {JsonSerializer.Serialize(((FunctionCallContent)approvalRequestContent.ToolCall).Arguments)}");
Console.WriteLine();
// Approve the tool call request
Console.WriteLine($"Tool: {approvalRequestContent.FunctionCall.Name} approved");
Console.WriteLine($"Tool: {((FunctionCallContent)approvalRequestContent.ToolCall).Name} approved");
await run.SendResponseAsync(e.Request.CreateResponse(approvalRequestContent.CreateResponse(approved: true)));
}
dotnet/samples/03-workflows/Declarative/CustomerSupport/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
dotnet/samples/03-workflows/Declarative/DeepResearch/Program.cs
+2 -2
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using OpenAI.Responses;
@@ -275,7 +275,7 @@ internal sealed class Program
Tools =
{
AgentTool.CreateOpenApiTool(
new OpenAPIFunctionDefinition(
new OpenApiFunctionDefinition(
"weather-forecast",
BinaryData.FromString(File.ReadAllText(Path.Combine(AppContext.BaseDirectory, "wttr.json"))),
new OpenAPIAnonymousAuthenticationDetails()))
dotnet/samples/03-workflows/Declarative/FunctionTools/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
dotnet/samples/03-workflows/Declarative/HostedWorkflow/Program.cs
+2 -1
View File
@@ -3,8 +3,9 @@
// Uncomment this to enable JSON checkpointing to the local file system.
//#define CHECKPOINT_JSON
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
dotnet/samples/03-workflows/Declarative/InputArguments/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using OpenAI.Responses;
dotnet/samples/03-workflows/Declarative/InvokeFunctionTool/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
dotnet/samples/03-workflows/Declarative/InvokeMcpTool/Program.cs
+1 -1
View File
@@ -5,7 +5,7 @@
// invoked to perform specific tasks, like searching documentation or executing operations.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Core;
using Azure.Identity;
using Microsoft.Agents.AI.Workflows.Declarative.Mcp;
dotnet/samples/03-workflows/Declarative/Marketing/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
dotnet/samples/03-workflows/Declarative/StudentTeacher/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
dotnet/samples/03-workflows/Declarative/ToolApproval/Program.cs
+1 -1
View File
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using OpenAI.Responses;
dotnet/samples/05-end-to-end/AgentWebChat/AgentWebChat.Web/OpenAIResponsesAgentClient.cs
+1 -1
View File
@@ -27,7 +27,7 @@ internal sealed class OpenAIResponsesAgentClient(HttpClient httpClient) : AgentC
Transport = new HttpClientPipelineTransport(httpClient)
};
var openAiClient = new ResponsesClient(model: agentName, credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient();
var openAiClient = new ResponsesClient(credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient(agentName);
var chatOptions = new ChatOptions()
{
ConversationId = sessionId
dotnet/samples/05-end-to-end/AgentWithPurview/Program.cs
+2 -2
View File
@@ -30,8 +30,8 @@ TokenCredential browserCredential = new InteractiveBrowserCredential(
using IChatClient client = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.AsIChatClient()
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsBuilder()
.WithPurview(browserCredential, new PurviewSettings("Agent Framework Test App"))
.Build();
dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/AgentThreadAndHITL.csproj
+1 -1
View File
@@ -37,7 +37,7 @@
<ItemGroup>
<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.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj
+2 -1
View File
@@ -36,9 +36,10 @@
<ItemGroup>
<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.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.4.0" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/Program.cs
+2 -1
View File
@@ -31,7 +31,8 @@ AITool mcpTool = new HostedMcpServerTool(serverName: "microsoft_learn", serverAd
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient(deploymentName)
.GetResponsesClient()
.AsIChatClient(deploymentName)
.AsAIAgent(
instructions: "You answer questions by searching the Microsoft Learn content only.",
name: "MicrosoftLearnAgent",
dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj
+1 -1
View File
@@ -38,7 +38,7 @@
<ItemGroup>
<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.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj
+1 -1
View File
@@ -36,7 +36,7 @@
<ItemGroup>
<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.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj
+1 -1
View File
@@ -36,7 +36,7 @@
<ItemGroup>
<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.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj
+1 -1
View File
@@ -36,7 +36,7 @@
<ItemGroup>
<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.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
dotnet/samples/05-end-to-end/M365Agent/AFAgentApplication.cs
+3 -3
View File
@@ -122,7 +122,7 @@ internal sealed class AFAgentApplication : AgentApplication
&& valueElement.GetProperty("requestJson") is JsonElement requestJsonElement
&& requestJsonElement.ValueKind == JsonValueKind.String)
{
var requestContent = JsonSerializer.Deserialize<FunctionApprovalRequestContent>(requestJsonElement.GetString()!, JsonUtilities.DefaultOptions);
var requestContent = JsonSerializer.Deserialize<ToolApprovalRequestContent>(requestJsonElement.GetString()!, JsonUtilities.DefaultOptions);
return new ChatMessage(ChatRole.User, [requestContent!.CreateResponse(approvedJsonElement.ValueKind == JsonValueKind.True)]);
}
@@ -138,7 +138,7 @@ internal sealed class AFAgentApplication : AgentApplication
/// <param name="attachments">The list of <see cref="Attachment"/> to which the adaptive cards will be added.</param>
private static void HandleUserInputRequests(AgentResponse response, ref List<Attachment>? attachments)
{
foreach (FunctionApprovalRequestContent functionApprovalRequest in response.Messages.SelectMany(m => m.Contents).OfType<FunctionApprovalRequestContent>())
foreach (ToolApprovalRequestContent functionApprovalRequest in response.Messages.SelectMany(m => m.Contents).OfType<ToolApprovalRequestContent>())
{
var functionApprovalRequestJson = JsonSerializer.Serialize(functionApprovalRequest, JsonUtilities.DefaultOptions);
@@ -152,7 +152,7 @@ internal sealed class AFAgentApplication : AgentApplication
});
card.Body.Add(new AdaptiveTextBlock
{
Text = $"Function: {functionApprovalRequest.FunctionCall.Name}"
Text = $"Function: {((FunctionCallContent)functionApprovalRequest.ToolCall).Name}"
});
card.Body.Add(new AdaptiveActionSet()
{