.NET: Rename AgentRunResponse{Update} to AgentResponse{Update}

.github/upgrades/prompts/SemanticKernelToAgentFramework.md

@@ -105,7 +105,7 @@ After completing migration, verify these specific items:
 1. **Compilation**: Execute `dotnet build` on all modified projects - zero errors required
 2. **Namespace Updates**: Confirm all `using Microsoft.SemanticKernel.Agents` statements are replaced
 3. **Method Calls**: Verify all `InvokeAsync` calls are changed to `RunAsync`
-4. **Return Types**: Confirm handling of `AgentRunResponse` instead of `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>`
+4. **Return Types**: Confirm handling of `AgentResponse` instead of `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>`
 5. **Thread Creation**: Validate all thread creation uses `agent.GetNewThread()` pattern
 6. **Tool Registration**: Ensure `[KernelFunction]` attributes are removed and `AIFunctionFactory.Create()` is used
 7. **Options Configuration**: Verify `AgentRunOptions` or `ChatClientAgentRunOptions` replaces `AgentInvokeOptions`
@@ -119,7 +119,7 @@ Agent Framework provides functionality for creating and managing AI agents throu
 Key API differences:
 - Agent creation: Remove Kernel dependency, use direct client-based creation
 - Method names: `InvokeAsync` → `RunAsync`, `InvokeStreamingAsync` → `RunStreamingAsync`
-- Return types: `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>` → `AgentRunResponse`
+- Return types: `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>` → `AgentResponse`
 - Thread creation: Provider-specific constructors → `agent.GetNewThread()`
 - Tool registration: `KernelPlugin` system → Direct `AIFunction` registration
 - Options: `AgentInvokeOptions` → Provider-specific run options (e.g., `ChatClientAgentRunOptions`)
@@ -166,8 +166,8 @@ Replace these method calls:
 | `thread.DeleteAsync()` | Provider-specific cleanup | Use provider client directly |
 
 Return type changes:
-- `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>` → `AgentRunResponse`
-- `IAsyncEnumerable<StreamingChatMessageContent>` → `IAsyncEnumerable<AgentRunResponseUpdate>`
+- `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>` → `AgentResponse`
+- `IAsyncEnumerable<StreamingChatMessageContent>` → `IAsyncEnumerable<AgentResponseUpdate>`
 </api_changes>
 
 <configuration_changes>
@@ -191,8 +191,8 @@ Agent Framework changes these behaviors compared to Semantic Kernel Agents:
 1. **Thread Management**: Agent Framework automatically manages thread state. Semantic Kernel required manual thread updates in some scenarios (e.g., OpenAI Responses).
 
 2. **Return Types**:
-   - Non-streaming: Returns single `AgentRunResponse` instead of `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>`
-   - Streaming: Returns `IAsyncEnumerable<AgentRunResponseUpdate>` instead of `IAsyncEnumerable<StreamingChatMessageContent>`
+   - Non-streaming: Returns single `AgentResponse` instead of `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>`
+   - Streaming: Returns `IAsyncEnumerable<AgentResponseUpdate>` instead of `IAsyncEnumerable<StreamingChatMessageContent>`
 
 3. **Tool Registration**: Agent Framework uses direct function registration without requiring `[KernelFunction]` attributes.
 
@@ -397,7 +397,7 @@ await foreach (AgentResponseItem<ChatMessageContent> item in agent.InvokeAsync(u
 
 **With this Agent Framework non-streaming pattern:**
 ```csharp
-AgentRunResponse result = await agent.RunAsync(userInput, thread, options);
+AgentResponse result = await agent.RunAsync(userInput, thread, options);
 Console.WriteLine(result);
 ```
 
@@ -411,7 +411,7 @@ await foreach (StreamingChatMessageContent update in agent.InvokeStreamingAsync(
 
 **With this Agent Framework streaming pattern:**
 ```csharp
-await foreach (AgentRunResponseUpdate update in agent.RunStreamingAsync(userInput, thread, options))
+await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(userInput, thread, options))
 {
     Console.Write(update);
 }
@@ -420,8 +420,8 @@ await foreach (AgentRunResponseUpdate update in agent.RunStreamingAsync(userInpu
 **Required changes:**
 1. Replace `agent.InvokeAsync()` with `agent.RunAsync()`
 2. Replace `agent.InvokeStreamingAsync()` with `agent.RunStreamingAsync()`
-3. Change return type handling from `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>` to `AgentRunResponse`
-4. Change streaming type from `StreamingChatMessageContent` to `AgentRunResponseUpdate`
+3. Change return type handling from `IAsyncEnumerable<AgentResponseItem<ChatMessageContent>>` to `AgentResponse`
+4. Change streaming type from `StreamingChatMessageContent` to `AgentResponseUpdate`
 5. Remove `await foreach` for non-streaming calls
 6. Access message content directly from result object instead of iterating
 </api_changes>
@@ -661,7 +661,7 @@ await foreach (var result in agent.InvokeAsync(input, thread, options))
 ```csharp
 ChatClientAgentRunOptions options = new(new ChatOptions { MaxOutputTokens = 1000 });
 
-AgentRunResponse result = await agent.RunAsync(input, thread, options);
+AgentResponse result = await agent.RunAsync(input, thread, options);
 Console.WriteLine(result);
 
 // Access underlying content when needed:
@@ -689,7 +689,7 @@ await foreach (var result in agent.InvokeAsync(input, thread, options))
 
 **With this Agent Framework non-streaming usage pattern:**
 ```csharp
-AgentRunResponse result = await agent.RunAsync(input, thread, options);
+AgentResponse result = await agent.RunAsync(input, thread, options);
 Console.WriteLine($"Tokens: {result.Usage.TotalTokenCount}");
 ```
 
@@ -709,7 +709,7 @@ await foreach (StreamingChatMessageContent response in agent.InvokeStreamingAsyn
 
 **With this Agent Framework streaming usage pattern:**
 ```csharp
-await foreach (AgentRunResponseUpdate update in agent.RunStreamingAsync(input, thread, options))
+await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(input, thread, options))
 {
     if (update.Contents.OfType<UsageContent>().FirstOrDefault() is { } usageContent)
     {
@@ -734,10 +734,10 @@ await foreach (var content in agent.InvokeAsync(userInput, thread))
 
 **With this Agent Framework breaking glass pattern:**
 ```csharp
-var agentRunResponse = await agent.RunAsync(userInput, thread);
+var agentResponse = await agent.RunAsync(userInput, thread);
 
 // If the agent uses a ChatClient the first breaking glass probably will be a Microsoft.Extensions.AI.ChatResponse
-ChatResponse? chatResponse = agentRunResponse.RawRepresentation as ChatResponse;
+ChatResponse? chatResponse = agentResponse.RawRepresentation as ChatResponse;
 
 // If thats the case, to access the underlying SDK types you will need to break glass again.
 UnderlyingSdkType? underlyingChatMessage = chatResponse?.RawRepresentation as UnderlyingSdkType;

docs/decisions/0001-agent-run-response.md

@@ -163,8 +163,8 @@ foreach (var update in response.Messages)
 ### Option 2 Run: Container with Primary and Secondary Properties, RunStreaming: Stream of Primary + Secondary
 
 Run returns a new response type that has separate properties for the Primary Content and the Secondary Updates leading up to it.
-The Primary content is available in the `AgentRunResponse.Messages` property while Secondary updates are in a new `AgentRunResponse.Updates` property.
-`AgentRunResponse.Text` returns the Primary content text.
+The Primary content is available in the `AgentResponse.Messages` property while Secondary updates are in a new `AgentResponse.Updates` property.
+`AgentResponse.Text` returns the Primary content text.
 
 Since streaming would still need to return an `IAsyncEnumerable` of updates, the design would differ from non-streaming.
 With non-streaming Primary and Secondary content is split into separate lists, while with streaming it's combined in one stream.
@@ -232,24 +232,24 @@ await foreach (var update in responses)
 ```csharp
 class Agent
 {
-    public abstract Task<AgentRunResponse> RunAsync(
+    public abstract Task<AgentResponse> RunAsync(
         IReadOnlyCollection<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default);
 
-    public abstract IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    public abstract IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(
         IReadOnlyCollection<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default);
 }
 
-class AgentRunResponse : ChatResponse
+class AgentResponse : ChatResponse
 {
 }
 
-public class AgentRunResponseUpdate : ChatResponseUpdate
+public class AgentResponseUpdate : ChatResponseUpdate
 {
 }
 ```
@@ -265,20 +265,20 @@ The new types could also exclude properties that make less sense for agents, lik
 ```csharp
 class Agent
 {
-    public abstract Task<AgentRunResponse> RunAsync(
+    public abstract Task<AgentResponse> RunAsync(
         IReadOnlyCollection<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default);
 
-    public abstract IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    public abstract IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(
         IReadOnlyCollection<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default);
 }
 
-class AgentRunResponse // Compare with ChatResponse
+class AgentResponse // Compare with ChatResponse
 {
     public string Text { get; } // Aggregation of TextContent from messages.
 
@@ -294,12 +294,12 @@ class AgentRunResponse // Compare with ChatResponse
     public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
 }
 
-// Not Included in AgentRunResponse compared to ChatResponse
+// Not Included in AgentResponse compared to ChatResponse
 public ChatFinishReason? FinishReason { get; set; }
 public string? ConversationId { get; set; }
 public string? ModelId { get; set; }
 
-public class AgentRunResponseUpdate // Compare with ChatResponseUpdate
+public class AgentResponseUpdate // Compare with ChatResponseUpdate
 {
     public string Text { get; } // Aggregation of TextContent from Contents.
 
@@ -317,7 +317,7 @@ public class AgentRunResponseUpdate // Compare with ChatResponseUpdate
     public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
 }
 
-// Not Included in AgentRunResponseUpdate compared to ChatResponseUpdate
+// Not Included in AgentResponseUpdate compared to ChatResponseUpdate
 public ChatFinishReason? FinishReason { get; set; }
 public string? ConversationId { get; set; }
 public string? ModelId { get; set; }
@@ -360,15 +360,15 @@ public class ChatFinishReason
 ### Option 2: Add another property on responses for AgentRun
 
 ```csharp
-class AgentRunResponse
+class AgentResponse
 {
     ...
     public AgentRun RunReference { get; set; } // Reference to long running process
     ...
 }
 
 
-public class AgentRunResponseUpdate
+public class AgentResponseUpdate
 {
     ...
     public AgentRun RunReference { get; set; } // Reference to long running process
@@ -424,7 +424,7 @@ Note that where an agent doesn't support structured output, it may also be possi
 See [Structured Outputs Support](#structured-outputs-support) for a comparison on what other agent frameworks and protocols support.
 
 To support a good user experience for structured outputs, I'm proposing that we follow the pattern used by MEAI.
-We would add a generic version of `AgentRunResponse<T>`, that allows us to get the agent result already deserialized into our preferred type.
+We would add a generic version of `AgentResponse<T>`, that allows us to get the agent result already deserialized into our preferred type.
 This would be coupled with generic overload extension methods for Run that automatically builds a schema from the supplied type and updates
 the run options.
 
@@ -438,14 +438,14 @@ class Movie
     public int ReleaseYear { get; set; }
 }
 
-AgentRunResponse<Movie[]> response = agent.RunAsync<Movie[]>("What are the top 3 children's movies of the 80s.");
+AgentResponse<Movie[]> response = agent.RunAsync<Movie[]>("What are the top 3 children's movies of the 80s.");
 Movie[] movies = response.Result
 ```
 
 If we only support requesting a schema at agent creation time or where an agent has a built in schema, the following would be the preferred approach:
 
 ```csharp
-AgentRunResponse response = agent.RunAsync("What are the top 3 children's movies of the 80s.");
+AgentResponse response = agent.RunAsync("What are the top 3 children's movies of the 80s.");
 Movie[] movies = response.TryParseStructuredOutput<Movie[]>();
 ```
 
@@ -463,7 +463,7 @@ Option 2 chosen so that we can vary Agent responses independently of Chat Client
 ### StructuredOutputs Decision
 
 We will not support structured output per run request, but individual agents are free to allow this on the concrete implementation or at construction time.
-We will however add support for easily extracting a structured output type from the `AgentRunResponse`.
+We will however add support for easily extracting a structured output type from the `AgentResponse`.
 
 ## Addendum 1: AIContext Derived Types for different response types / Gap Analysis (Work in progress)
 

docs/decisions/0006-userapproval.md

@@ -161,11 +161,11 @@ while (response.ApprovalRequests.Count > 0)
     response = await agent.RunAsync(messages, thread);
 }
 
-class AgentRunResponse
+class AgentResponse
 {
     ...
 
-    // A new property on AgentRunResponse to aggregate the ApprovalRequestContent items from
+    // A new property on AgentResponse to aggregate the ApprovalRequestContent items from
     // the response messages (Similar to the Text property).
     public IEnumerable<ApprovalRequestContent> ApprovalRequests { get; set; }
 
@@ -251,11 +251,11 @@ while (response.UserInputRequests.Any())
     response = await agent.RunAsync(messages, thread);
 }
 
-class AgentRunResponse
+class AgentResponse
 {
     ...
 
-    // A new property on AgentRunResponse to aggregate the UserInputRequestContent items from
+    // A new property on AgentResponse to aggregate the UserInputRequestContent items from
     // the response messages (Similar to the Text property).
     public IReadOnlyList<UserInputRequestContent> UserInputRequests { get; set; }
 
@@ -366,11 +366,11 @@ while (response.UserInputRequests.Any())
     response = await agent.RunAsync(messages, thread);
 }
 
-class AgentRunResponse
+class AgentResponse
 {
     ...
 
-    // A new property on AgentRunResponse to aggregate the UserInputRequestContent items from
+    // A new property on AgentResponse to aggregate the UserInputRequestContent items from
     // the response messages (Similar to the Text property).
     public IEnumerable<UserInputRequestContent> UserInputRequests { get; set; }
 

docs/decisions/0007-agent-filtering-middleware.md

@@ -115,7 +115,7 @@ public class AIAgent
         }
     }
 
-    public async Task<AgentRunResponse> RunAsync(
+    public async Task<AgentResponse> RunAsync(
         IReadOnlyCollection<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
@@ -135,7 +135,7 @@ public class AIAgent
         return context.Response ?? throw new InvalidOperationException("Agent execution did not produce a response");
     }
 
-    protected abstract Task<AgentRunResponse> ExecuteCoreLogicAsync(
+    protected abstract Task<AgentResponse> ExecuteCoreLogicAsync(
         IReadOnlyCollection<ChatMessage> messages,
         AgentThread? thread,
         AgentRunOptions? options,
@@ -190,7 +190,7 @@ internal sealed class GuardrailCallbackAgent : DelegatingAIAgent
 
     public GuardrailCallbackAgent(AIAgent innerAgent) : base(innerAgent) { }
 
-    public override async Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+    public override async Task<AgentResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
     {
         var filteredMessages = this.FilterMessages(messages);
         Console.WriteLine($"Guardrail Middleware - Filtered messages: {new ChatResponse(filteredMessages).Text}");
@@ -202,14 +202,14 @@ internal sealed class GuardrailCallbackAgent : DelegatingAIAgent
         return response;
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
+    public override async IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
     {
         var filteredMessages = this.FilterMessages(messages);
         await foreach (var update in this.InnerAgent.RunStreamingAsync(filteredMessages, thread, options, cancellationToken))
         {
             if (update.Text != null)
             {
-                yield return new AgentRunResponseUpdate(update.Role, this.FilterContent(update.Text));
+                yield return new AgentResponseUpdate(update.Role, this.FilterContent(update.Text));
             }
             else
             {
@@ -252,7 +252,7 @@ internal sealed class RunningCallbackHandlerAgent : DelegatingAIAgent
         this._func = func;
     }
 
-    public override async Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+    public override async Task<AgentResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
     {
         var context = new AgentInvokeCallbackContext(this, messages, thread, options, isStreaming: false, cancellationToken);
 
@@ -469,7 +469,7 @@ public sealed class CallbackEnabledAgent : DelegatingAIAgent
         this._callbacksProcessor = callbackMiddlewareProcessor ?? new();
     }
 
-    public override async Task<AgentRunResponse> RunAsync(
+    public override async Task<AgentResponse> RunAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
@@ -541,7 +541,7 @@ public abstract class AgentContext
 public class AgentRunContext : AgentContext
 {
     public IList<ChatMessage> Messages { get; set; }
-    public AgentRunResponse? Response { get; set; }
+    public AgentResponse? Response { get; set; }
     public AgentThread? Thread { get; }
 
     public AgentRunContext(AIAgent agent, IList<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options)