semi working

* sample fixes

* Update thread naming

.github/.linkspector.yml

@@ -12,11 +12,14 @@ ignorePatterns:
   - pattern: "https:\/\/platform.openai.com"
   - pattern: "http:\/\/localhost"
   - pattern: "http:\/\/127.0.0.1"
+  - pattern: "https:\/\/localhost"
+  - pattern: "https:\/\/127.0.0.1"
   - pattern: "0001-spec.md"
   - pattern: "0001-madr-architecture-decisions.md"
   - pattern: "https://api.powerplatform.com/.default"
   - pattern: "https://your-resource.openai.azure.com/"
   - pattern: "http://host.docker.internal"
+  - pattern: "https://openai.github.io/openai-agents-js/openai/agents/classes/"
 # excludedDirs:
   # Folders which include links to localhost, since it's not ignored with regular expressions
 baseUrl: https://github.com/microsoft/agent-framework/

.github/CODEOWNERS

@@ -0,0 +1,4 @@
+# Code ownership assignments
+# https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
+
+python/packages/azurefunctions/ @microsoft/agentframework-durabletask-developers

.github/actions/azure-functions-integration-setup/action.yml

@@ -0,0 +1,36 @@
+name: Azure Functions Integration Test Setup
+description: Prepare local emulators and tools for Azure Functions integration tests
+
+runs:
+    using: "composite"
+    steps:
+      - name: Start Durable Task Scheduler Emulator
+        shell: bash
+        run: |
+          if [ "$(docker ps -aq -f name=dts-emulator)" ]; then
+            echo "Stopping and removing existing Durable Task Scheduler Emulator"
+            docker rm -f dts-emulator
+          fi
+          echo "Starting Durable Task Scheduler Emulator"
+          docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
+          echo "Waiting for Durable Task Scheduler Emulator to be ready"
+          timeout 30 bash -c 'until curl --silent http://localhost:8080/healthz; do sleep 1; done'
+          echo "Durable Task Scheduler Emulator is ready"
+      - name: Start Azurite (Azure Storage emulator)
+        shell: bash
+        run: |
+          if [ "$(docker ps -aq -f name=azurite)" ]; then
+            echo "Stopping and removing existing Azurite (Azure Storage emulator)"
+            docker rm -f azurite
+          fi
+          echo "Starting Azurite (Azure Storage emulator)"
+          docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
+          echo "Waiting for Azurite (Azure Storage emulator) to be ready"
+          timeout 30 bash -c 'until curl --silent http://localhost:10000/devstoreaccount1; do sleep 1; done'
+          echo "Azurite (Azure Storage emulator) is ready"
+      - name: Install Azure Functions Core Tools
+        shell: bash
+        run: |
+          echo "Installing Azure Functions Core Tools"
+          npm install -g azure-functions-core-tools@4 --unsafe-perm true
+          func --version

.github/upgrades/prompts/SemanticKernelToAgentFramework.md

@@ -1052,7 +1052,7 @@ AgentThread thread = agent.GetNewThread();
 
 **Add Agent Framework Packages:**
 ```xml
-<PackageReference Include="Microsoft.Agents.AI.AzureAI" />
+<PackageReference Include="Microsoft.Agents.AI.AzureAI.Persistent" />
 <PackageReference Include="Azure.Identity" />
 ```
 </configuration_changes>

.github/workflows/codeql-analysis.yml

@@ -38,7 +38,7 @@ jobs:
 
       # Initializes the CodeQL tools for scanning.
       - name: Initialize CodeQL
-        uses: github/codeql-action/init@v3
+        uses: github/codeql-action/init@v4
         with:
           languages: ${{ matrix.language }}
           # If you wish to specify custom queries, you can do so here or in a config file.
@@ -51,7 +51,7 @@ jobs:
       # Autobuild attempts to build any compiled languages  (C/C++, C#, Go, or Java).
       # If this step fails, then you should remove it and run the build manually (see below)
       - name: Autobuild
-        uses: github/codeql-action/autobuild@v3
+        uses: github/codeql-action/autobuild@v4
 
       # ℹ️ Command-line programs to run using the OS shell.
       # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
@@ -64,6 +64,6 @@ jobs:
       #     ./location_of_script_within_repo/buildscript.sh
 
       - name: Perform CodeQL Analysis
-        uses: github/codeql-action/analyze@v3
+        uses: github/codeql-action/analyze@v4
         with:
           category: "/language:${{matrix.language}}"

.github/workflows/dotnet-build-and-test.yml

@@ -8,11 +8,11 @@ name: dotnet-build-and-test
 on:
   workflow_dispatch:
   pull_request:
-    branches: ["main"]
+    branches: ["main", "feature*"]
   merge_group:
-    branches: ["main"]
+    branches: ["main", "feature*"]
   push:
-    branches: ["main"]
+    branches: ["main", "feature*"]
   schedule:
     - cron: "0 0 * * *" # Run at midnight UTC daily
 
@@ -74,6 +74,7 @@ jobs:
             .
             .github
             dotnet
+            python
             workflow-samples
 
       - name: Setup dotnet
@@ -127,7 +128,15 @@ jobs:
         run: |
           export UT_PROJECTS=$(find ./dotnet -type f -name "*.UnitTests.csproj" | tr '\n' ' ')
           for project in $UT_PROJECTS; do
-            dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --collect:"XPlat Code Coverage" --results-directory:"TestResults/Coverage/" -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.ExcludeByAttribute=GeneratedCodeAttribute,CompilerGeneratedAttribute,ExcludeFromCodeCoverageAttribute
+            # Query the project's target frameworks using MSBuild with the current configuration
+            target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
+            
+            # Check if the project supports the target framework
+            if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
+              dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --collect:"XPlat Code Coverage" --results-directory:"TestResults/Coverage/" -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.ExcludeByAttribute=GeneratedCodeAttribute,CompilerGeneratedAttribute,ExcludeFromCodeCoverageAttribute
+            else
+              echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
+            fi
           done
       
       - name: Log event name and matrix integration-tests
@@ -142,19 +151,38 @@ jobs:
           tenant-id: ${{ secrets.AZURE_TENANT_ID }}
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
 
+        # This setup action is required for both Durable Task and Azure Functions integration tests.
+        # We only run it on Ubuntu since the Durable Task and Azure Functions features are not available
+        # on .NET Framework (net472) which is what we use the Windows runner for.
+      - name: Set up Durable Task and Azure Functions Integration Test Emulators
+        if: github.event_name != 'pull_request' && matrix.integration-tests && matrix.os == 'ubuntu-latest'
+        uses: ./.github/actions/azure-functions-integration-setup
+        id: azure-functions-setup
+
       - name: Run Integration Tests
         shell: bash
         if: github.event_name != 'pull_request' && matrix.integration-tests
         run: |
           export INTEGRATION_TEST_PROJECTS=$(find ./dotnet -type f -name "*IntegrationTests.csproj" | tr '\n' ' ')
           for project in $INTEGRATION_TEST_PROJECTS; do
-            dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
+            # Query the project's target frameworks using MSBuild with the current configuration
+            target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
+            
+            # Check if the project supports the target framework
+            if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
+              dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
+            else
+              echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
+            fi
           done
         env:
           # OpenAI Models
           OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
           OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
           OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
+          # Azure OpenAI Models
+          AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+          AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
           # Azure AI Foundry
           AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
           AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
@@ -166,14 +194,14 @@ jobs:
 
       # Generate test reports and check coverage
       - name: Generate test reports
-        uses: danielpalme/ReportGenerator-GitHub-Action@5.4.16
+        uses: danielpalme/ReportGenerator-GitHub-Action@5.4.18
         with:
           reports: "./TestResults/Coverage/**/coverage.cobertura.xml"
           targetdir: "./TestResults/Reports"
           reporttypes: "HtmlInline;JsonSummary"
 
       - name: Upload coverage report artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v5
         with:
           name: CoverageReport-${{ matrix.os }}-${{ matrix.targetFramework }}-${{ matrix.configuration }} # Artifact name
           path: ./TestResults/Reports # Directory containing files to upload

.github/workflows/python-code-quality.yml

@@ -18,7 +18,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.10", "3.14"]
     runs-on: ubuntu-latest
     continue-on-error: true
     defaults:

.github/workflows/python-docs.yml

@@ -26,7 +26,7 @@ jobs:
     steps:
       - uses: actions/checkout@v5
       - name: Set up uv
-        uses: astral-sh/setup-uv@v6
+        uses: astral-sh/setup-uv@v7
         with:
           version-file: "python/pyproject.toml"
           enable-cache: true

.github/workflows/python-lab-tests.yml

@@ -1,27 +1,54 @@
 name: Python - Lab Tests
 
 on:
+  workflow_dispatch:
   pull_request:
-    branches: ["main", "feature*"]
-    paths:
-      - "python/packages/lab/**"
-  push:
     branches: ["main"]
     paths:
       - "python/packages/lab/**"
+  merge_group:
+    branches: ["main"]
+  schedule:
+    - cron: "0 0 * * *" # Run at midnight UTC daily
 
 env:
   # Configure a constant location for the uv cache
   UV_CACHE_DIR: /tmp/.uv-cache
 
 jobs:
+  paths-filter:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: read
+    outputs:
+      pythonChanges: ${{ steps.filter.outputs.python}}
+    steps:
+      - uses: actions/checkout@v5
+      - uses: dorny/paths-filter@v3
+        id: filter
+        with:
+          filters: |
+            python:
+              - 'python/**'
+      # run only if 'python' files were changed
+      - name: python tests
+        if: steps.filter.outputs.python == 'true'
+        run: echo "Python file"
+      # run only if not 'python' files were changed
+      - name: not python tests
+        if: steps.filter.outputs.python != 'true'
+        run: echo "NOT python file"
+
   python-lab-tests:
     name: Python Lab Tests
+    needs: paths-filter
+    if: needs.paths-filter.outputs.pythonChanges == 'true'
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: true
       matrix:
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         # TODO(ekzhu): re-enable macos-latest when this is fixed: https://github.com/actions/runner-images/issues/11881
         os: [ubuntu-latest, windows-latest]
     env:

.github/workflows/python-merge-tests.yml

@@ -43,8 +43,8 @@ jobs:
       - name: not python tests
         if: steps.filter.outputs.python != 'true'
         run: echo "NOT python file"
-  python-tests-main:
-    name: Python Tests - Main
+  python-tests-core:
+    name: Python Tests - Core
     needs: paths-filter
     if: github.event_name != 'pull_request' && needs.paths-filter.outputs.pythonChanges == 'true'
     runs-on: ${{ matrix.os }}
@@ -60,7 +60,17 @@ jobs:
       OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
       OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+      ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
+      # For Azure Functions integration tests
+      FUNCTIONS_WORKER_RUNTIME: "python"
+      DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
+      AzureWebJobsStorage: "UseDevelopmentStorage=true"
+
     defaults:
       run:
         working-directory: python
@@ -75,14 +85,24 @@ jobs:
         env:
           # Configure a constant location for the uv cache
           UV_CACHE_DIR: /tmp/.uv-cache
+      - name: Azure CLI Login
+        if: github.event_name != 'pull_request'
+        uses: azure/login@v2
+        with:
+          client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+      - name: Set up Azure Functions Integration Test Emulators
+        uses: ./.github/actions/azure-functions-integration-setup
+        id: azure-functions-setup
       - name: Test with pytest
         timeout-minutes: 10
         run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
         working-directory: ./python
-      - name: Test main samples
+      - name: Test core samples
         timeout-minutes: 10
         if: env.RUN_SAMPLES_TESTS == 'true'
-        run: uv run pytest tests/samples/ -m "openai"
+        run: uv run pytest tests/samples/ -m "openai" -m "azure"
         working-directory: ./python
       - name: Surface failing tests
         if: always()
@@ -95,7 +115,7 @@ jobs:
           title: Test results
 
   python-tests-azure-ai:
-    name: Python Tests - Azure
+    name: Python Tests - Azure AI
     needs: paths-filter
     if: github.event_name != 'pull_request' && needs.paths-filter.outputs.pythonChanges == 'true'
     runs-on: ${{ matrix.os }}
@@ -110,9 +130,6 @@ jobs:
       UV_PYTHON: ${{ matrix.python-version }}
       AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
       AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
-      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
     defaults:
       run:
@@ -137,12 +154,12 @@ jobs:
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
       - name: Test with pytest
         timeout-minutes: 10
-        run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
+        run: uv run poe azure-ai-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
         working-directory: ./python
-      - name: Test azure samples
+      - name: Test Azure AI samples
         timeout-minutes: 10
         if: env.RUN_SAMPLES_TESTS == 'true'
-        run: uv run pytest tests/samples/ -m "azure-ai" -m "azure"
+        run: uv run pytest tests/samples/ -m "azure-ai"
         working-directory: ./python
       - name: Surface failing tests
         if: always()
@@ -161,7 +178,7 @@ jobs:
     runs-on: ubuntu-latest
     needs:
       [
-        python-tests-main,
+        python-tests-core,
         python-tests-azure-ai
       ]
     steps:

.github/workflows/python-test-coverage-report.yml

@@ -21,7 +21,7 @@ jobs:
     steps:
       - uses: actions/checkout@v5
       - name: Download coverage report
-        uses: actions/download-artifact@v5
+        uses: actions/download-artifact@v6
         with:
           github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           run-id: ${{ github.event.workflow_run.id }}
@@ -39,7 +39,7 @@ jobs:
           echo "PR_NUMBER=$PR_NUMBER" >> $GITHUB_ENV
       - name: Pytest coverage comment
         id: coverageComment
-        uses: MishaKav/pytest-coverage-comment@v1.1.57
+        uses: MishaKav/pytest-coverage-comment@v1.1.59
         with:
           github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           issue-number: ${{ env.PR_NUMBER }}

.github/workflows/python-test-coverage.yml

@@ -38,7 +38,7 @@ jobs:
       - name: Run all tests with coverage report
         run: uv run poe all-tests-cov --cov-report=xml:python-coverage.xml -q --junitxml=pytest.xml
       - name: Upload coverage report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v5
         with:
           path: |
             python/python-coverage.xml

.github/workflows/python-tests.yml

@@ -16,7 +16,7 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         # todo: add macos-latest when problems are resolved
         os: [ubuntu-latest, windows-latest]
     env:

.gitignore

@@ -203,4 +203,24 @@ agents.md
 
 # AI
 .claude/
-WARP.md
+WARP.md
+
+# Azurite storage emulator files
+*/__azurite_db_blob__.json
+*/__azurite_db_blob_extent__.json
+*/__azurite_db_queue__.json
+*/__azurite_db_queue_extent__.json
+*/__azurite_db_table__.json
+*/__blobstorage__/
+*/__queuestorage__/
+
+# Azure Functions local settings
+local.settings.json
+
+# Frontend
+**/frontend/node_modules/
+**/frontend/.vite/
+**/frontend/dist/
+
+# Database files
+*.db

COMMUNITY.md

@@ -0,0 +1,22 @@
+# Welcome to the Agent Framework Community
+
+Below are some ways that you can get involved in the Agent Framework Community.
+
+## Engage on GitHub
+
+- [Discussions](https://github.com/microsoft/agent-framework/discussions): Ask questions, provide feedback and ideas to what you'd like to see from the Agent Framework.
+- [Issues](https://github.com/microsoft/agent-framework/issues) - If you find a bug, unexpected behavior or have a feature request, please open an issue.
+- [Pull Requests](https://github.com/microsoft/agent-framework/pulls) - We welcome contributions! Please see our [Contributing Guide](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
+
+We do our best to respond to each submission.
+
+## Public Community Office Hours
+
+We regularly have Community Office Hours that are open to the **public** to join.
+
+Add Agent Framework events to your calendar. We are running two community calls to accommodate different time zones for Q&A Office Hours:
+
+- **Americas & EMEA timezone:** Every Wednesday at 8:00 AM Pacific Time/17:00 CET. Adjusted for daylight savings. Join here: [AF-AG-SK-Americas-Europe-OfficeHours](https://aka.ms/sk-officehours).
+- **Asia Pacific timezone:** The second Wednesday of every month at 4:00 PM Pacific Time Wednesday. In much of Asia this occurs on Thursday local time. Adjusted for daylight savings. Join here: [AF-AG-SK-APAC-OfficeHours](https://aka.ms/sk-apac-officehours).
+
+If you are unable to make it live, all meetings will be recorded and posted online.

docs/FAQS.md

@@ -23,23 +23,23 @@ To download nightly builds follow the following steps:
     <configuration>
       <packageSources>
         <add key="nuget.org" value="https://api.nuget.org/v3/index.json" protocolVersion="3" />
-        <add key="github" value="https://nuget.pkg.github.com/microsoft/index.json" />
+        <add key="GitHubMicrosoft" value="https://nuget.pkg.github.com/microsoft/index.json" />
       </packageSources>
     
       <packageSourceMapping>
         <packageSource key="nuget.org">
           <package pattern="*" />
         </packageSource>
-        <packageSource key="github">
+        <packageSource key="GitHubMicrosoft">
           <package pattern="*nightly"/>
         </packageSource>
       </packageSourceMapping>
     
       <packageSourceCredentials>
-        <github>
-            <add key="Username" value="<Your GitHub Id>" />
-            <add key="ClearTextPassword" value="<Your Personal Access Token>" />
-          </github>
+        <GitHubMicrosoft>
+          <add key="Username" value="<Your GitHub Id>" />
+          <add key="ClearTextPassword" value="<Your Personal Access Token>" />
+        </GitHubMicrosoft>
       </packageSourceCredentials>
     </configuration>
     ```

docs/decisions/0006-userapproval.md

@@ -22,7 +22,6 @@ This document aims to provide options and capture the decision on how to model t
 See various features that would need to be supported via this type of mechanism, plus how various other frameworks support this:
 
 - Also see [dotnet issue 6492](https://github.com/dotnet/extensions/issues/6492), which discusses the need for a similar pattern in the context of MCP approvals.
-- Also see [the openai RunToolApprovalItem](https://openai.github.io/openai-agents-js/openai/agents/classes/runtoolapprovalitem/).
 - Also see [the openai human-in-the-loop guide](https://openai.github.io/openai-agents-js/guides/human-in-the-loop/#approval-requests).
 - Also see [the openai MCP guide](https://openai.github.io/openai-agents-js/guides/mcp/#optional-approval-flow).
 - Also see [MCP Approval Requests from OpenAI](https://platform.openai.com/docs/guides/tools-remote-mcp#approvals).

docs/decisions/0010-ag-ui-support.md

@@ -0,0 +1,95 @@
+---
+status: accepted
+contact: javiercn
+date: 2025-10-29
+deciders: javiercn, DeagleGross, moonbox3, markwallace-microsoft
+consulted: Agent Framework team
+informed: .NET community
+---
+
+# AG-UI Protocol Support for .NET Agent Framework
+
+## Context and Problem Statement
+
+The .NET Agent Framework needed a standardized way to enable communication between AI agents and user-facing applications with support for streaming, real-time updates, and bidirectional communication. Without AG-UI protocol support, .NET agents could not interoperate with the growing ecosystem of AG-UI-compatible frontends and agent frameworks (LangGraph, CrewAI, Pydantic AI, etc.), limiting the framework's adoption and utility.
+
+The AG-UI (Agent-User Interaction) protocol is an open, lightweight, event-based protocol that addresses key challenges in agentic applications including streaming support for long-running agents, event-driven architecture for nondeterministic behavior, and protocol interoperability that complements MCP (tool/context) and A2A (agent-to-agent) protocols.
+
+## Decision Drivers
+
+- Need for streaming communication between agents and client applications
+- Requirement for protocol interoperability with other AI frameworks
+- Support for long-running, multi-turn conversation sessions
+- Real-time UI updates for nondeterministic agent behavior
+- Standardized approach to agent-to-UI communication
+- Framework abstraction to protect consumers from protocol changes
+
+## Considered Options
+
+1. **Implement AG-UI event types as public API surface** - Expose AG-UI event models directly to consumers
+2. **Use custom AIContent types for lifecycle events** - Create new content types (RunStartedContent, RunFinishedContent, RunErrorContent)
+3. **Current approach** - Internal event types with framework-native abstractions
+
+## Decision Outcome
+
+Chosen option: "Current approach with internal event types and framework-native abstractions", because it:
+
+- Protects consumers from protocol changes by keeping AG-UI events internal
+- Maintains framework abstractions through conversion at boundaries
+- Uses existing framework types (AgentRunResponseUpdate, ChatMessage) for public API
+- Focuses on core text streaming functionality
+- Leverages existing properties (ConversationId, ResponseId, ErrorContent) instead of custom types
+- Provides bidirectional client and server support
+
+### Implementation Details
+
+**In Scope:**
+1. **Client-side AG-UI consumption** (`Microsoft.Agents.AI.AGUI` package)
+   - `AGUIAgent` class for connecting to remote AG-UI servers
+   - `AGUIAgentThread` for managing conversation threads
+   - HTTP/SSE streaming support
+   - Event-to-framework type conversion
+
+2. **Server-side AG-UI hosting** (`Microsoft.Agents.AI.Hosting.AGUI.AspNetCore` package)
+   - `MapAGUIAgent` extension method for ASP.NET Core
+   - Server-Sent Events (SSE) response formatting
+   - Framework-to-event type conversion
+   - Agent factory pattern for per-request instantiation
+
+3. **Text streaming events**
+   - Lifecycle events: `RunStarted`, `RunFinished`, `RunError`
+   - Text message events: `TextMessageStart`, `TextMessageContent`, `TextMessageEnd`
+   - Thread and run ID management via `ConversationId` and `ResponseId`
+
+### Key Design Decisions
+
+1. **Event Models as Internal Types** - AG-UI event types are internal with conversion via extension methods; public API uses the existing types in Microsoft.Extensions.AI as those are the abstractions people are familiar with
+
+2. **No Custom Content Types** - Run lifecycle communicated through existing `ChatResponseUpdate` properties (`ConversationId`, `ResponseId`) and standard `ErrorContent` type
+
+3. **Agent Factory Pattern** - `MapAGUIAgent` uses factory function `(messages) => AIAgent` to allow request-specific agent configuration supporting multi-tenancy
+
+4. **Bidirectional Conversion Architecture** - Symmetric conversion logic in shared namespace compiled into both packages for server (`AgentRunResponseUpdate` → AG-UI events) and client (AG-UI events → `AgentRunResponseUpdate`)
+
+5. **Thread Management** - `AGUIAgentThread` stores only `ThreadId` with thread ID communicated via `ConversationId`; applications manage persistence for parity with other implementations and to be compliant with the protocol. Future extensions will support having the server manage the conversation.
+
+6. **Custom JSON Converter** - Uses custom polymorphic deserialization via `BaseEventJsonConverter` instead of built-in System.Text.Json support to handle AG-UI protocol's flexible discriminator positioning
+
+### Consequences
+
+**Positive:**
+- .NET developers can consume AG-UI servers from any framework
+- .NET agents accessible from any AG-UI-compatible client
+- Standardized streaming communication patterns
+- Protected from protocol changes through internal implementation
+- Symmetric conversion logic between client and server
+- Framework-native public API surface
+
+**Negative:**
+- Custom JSON converter required (internal implementation detail)
+- Shared code uses preprocessor directives (`#if ASPNETCORE`)
+- Additional abstraction layer between protocol and public API
+
+**Neutral:**
+- Initial implementation focused on text streaming
+- Applications responsible for thread persistence

docs/design/python-package-setup.md

@@ -175,7 +175,7 @@ Sub-packages are comprised of two parts, the code itself and the dependencies, t
 - Subpackage naming should also follow this, so in principle a package name is `<vendor/folder>-<feature/brand>`, so `google-gemini`, `azure-purview`, `microsoft-copilotstudio`, etc. For smaller vendors, where it's less likely to have a multitude of connectors, we can skip the feature/brand part, so `mem0`, `redis`, etc.
 - For Microsoft services we will have two vendor folders, `azure` and `microsoft`, where `azure` contains all Azure services, while `microsoft` contains other Microsoft services, such as Copilot Studio Agents.
 
-This setup was discussed at length and the decision is captured in [ADR-0007](../decisions/0007-python-subpackages.md).
+This setup was discussed at length and the decision is captured in [ADR-0008](../decisions/0008-python-subpackages.md).
 
 #### Evolving the package structure
 For each of the advanced components, we have two reason why we may split them into a folder, with an `__init__.py` and optionally a `_files.py`:

dotnet/Directory.Packages.props

@@ -7,96 +7,119 @@
   </PropertyGroup>
   <PropertyGroup>
     <!-- Aspire -->
-    <AspireAppHostSdkVersion>9.5.1</AspireAppHostSdkVersion>
+    <AspireAppHostSdkVersion>13.0.0</AspireAppHostSdkVersion>
   </PropertyGroup>
   <ItemGroup>
     <!-- Aspire.* -->
-    <PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="9.5.1-preview.1.25502.11" />
+    <PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="13.0.0-preview.1.25560.3" />
     <PackageVersion Include="Aspire.Hosting.AppHost" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
-    <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="9.8.0" />
+    <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0-beta.435" />
     <!-- Azure.* -->
-    <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.6" />
+    <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.7" />
     <PackageVersion Include="Azure.AI.OpenAI" Version="2.5.0-beta.1" />
     <PackageVersion Include="Azure.Identity" Version="1.17.0" />
     <PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.4.0" />
     <!-- System.* -->
-    <PackageVersion Include="System.CodeDom" Version="9.0.10" />
-    <PackageVersion Include="System.Collections.Immutable" Version="9.0.10" />
-    <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
-    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="9.0.10" />
-    <PackageVersion Include="System.Net.ServerSentEvents" Version="9.0.10" />
-    <PackageVersion Include="System.Text.Json" Version="9.0.10" />
-    <PackageVersion Include="System.Threading.Channels" Version="9.0.10" />
-    <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
+    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
-    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="9.0.10" />
+    <PackageVersion Include="System.ClientModel" Version="1.8.0" />
+    <PackageVersion Include="System.CodeDom" Version="10.0.0" />
+    <PackageVersion Include="System.Collections.Immutable" Version="10.0.0" />
+    <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
+    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.0" />
+    <PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.0" />
+    <PackageVersion Include="System.Net.Http.Json" Version="10.0.0" />
+    <PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.0" />
+    <PackageVersion Include="System.Text.Json" Version="10.0.0" />
+    <PackageVersion Include="System.Threading.Channels" Version="10.0.0" />
+    <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
     <!-- OpenTelemetry -->
-    <PackageVersion Include="OpenTelemetry" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Api" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Exporter.Console" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Exporter.InMemory" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Exporter.OpenTelemetryProtocol" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Extensions.Hosting" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Instrumentation.AspNetCore" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Instrumentation.Http" Version="1.12.0" />
-    <PackageVersion Include="OpenTelemetry.Instrumentation.Runtime" Version="1.12.0" />
+    <PackageVersion Include="OpenTelemetry" Version="1.13.1" />
+    <PackageVersion Include="OpenTelemetry.Api" Version="1.13.1" />
+    <PackageVersion Include="OpenTelemetry.Exporter.Console" Version="1.13.1" />
+    <PackageVersion Include="OpenTelemetry.Exporter.InMemory" Version="1.13.1" />
+    <PackageVersion Include="OpenTelemetry.Exporter.OpenTelemetryProtocol" Version="1.13.1" />
+    <PackageVersion Include="OpenTelemetry.Extensions.Hosting" Version="1.13.1" />
+    <PackageVersion Include="OpenTelemetry.Instrumentation.AspNetCore" Version="1.13.0" />
+    <PackageVersion Include="OpenTelemetry.Instrumentation.Http" Version="1.13.0" />
+    <PackageVersion Include="OpenTelemetry.Instrumentation.Runtime" Version="1.13.0" />
     <!-- Microsoft.AspNetCore.* -->
-    <PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="9.0.10" />
-    <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="9.0.4" />
+    <PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="9.0.11" />
+    <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
     <!-- Microsoft.Extensions.* -->
-    <PackageVersion Include="Microsoft.Extensions.AI" Version="9.10.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="9.10.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.AzureAIInference" Version="9.10.0-preview.1.25513.3" />
-    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="9.10.0-preview.1.25513.3" />
-    <PackageVersion Include="Microsoft.Extensions.Configuration" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Configuration.EnvironmentVariables" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Hosting" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="9.10.0" />
-    <PackageVersion Include="Microsoft.Extensions.Logging" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="9.0.10" />
-    <PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="$(AspireAppHostSdkVersion)" />
+    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.AzureAIInference" Version="10.0.0-preview.1.25559.3" />
+    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.0.0-preview.1.25559.3" />
+    <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Configuration.EnvironmentVariables" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Hosting" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Logging" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
     <!-- Vector Stores -->
-    <PackageVersion Include="Microsoft.SemanticKernel" Version="1.66.0" />
-    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.66.0-preview" />
-    <PackageVersion Include="Microsoft.SemanticKernel.Agents.Core" Version="1.66.0" />
-    <PackageVersion Include="Microsoft.SemanticKernel.Agents.OpenAI" Version="1.66.0-preview" />
-    <PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.66.0-preview" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.67.0-preview" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.67.0-preview" />
+    <!-- Semantic Kernel -->
+    <PackageVersion Include="Microsoft.SemanticKernel" Version="1.67.0" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Agents.Core" Version="1.67.0" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Agents.OpenAI" Version="1.67.0-preview" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.67.0-preview" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Plugins.OpenApi" Version="1.67.0" />
     <!-- Agent SDKs -->
     <PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.2.41" />
     <!-- A2A -->
-    <PackageVersion Include="A2A" Version="0.3.1-preview" />
-    <PackageVersion Include="A2A.AspNetCore" Version="0.3.1-preview" />
+    <PackageVersion Include="A2A" Version="0.3.3-preview" />
+    <PackageVersion Include="A2A.AspNetCore" Version="0.3.3-preview" />
     <!-- MCP -->
-    <PackageVersion Include="ModelContextProtocol" Version="0.4.0-preview.2" />
+    <PackageVersion Include="ModelContextProtocol" Version="0.4.0-preview.3" />
     <!-- Inference SDKs -->
-    <PackageVersion Include="Anthropic.SDK" Version="5.6.0" />
-    <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.4" />
-    <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.9.2" />
-    <PackageVersion Include="OllamaSharp" Version="5.4.7" />
-    <PackageVersion Include="OpenAI" Version="2.5.0" />
+    <PackageVersion Include="Anthropic.SDK" Version="5.8.0" />
+    <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.4.6" />
+    <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
+    <PackageVersion Include="OllamaSharp" Version="5.4.8" />
+    <PackageVersion Include="OpenAI" Version="2.6.0" />
     <!-- Identity -->
-    <PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.77.1" />
+    <PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
     <!-- Workflows -->
     <PackageVersion Include="Microsoft.Bot.ObjectModel" Version="1.2025.1003.2" />
     <PackageVersion Include="Microsoft.Bot.ObjectModel.Json" Version="1.2025.1003.2" />
     <PackageVersion Include="Microsoft.Bot.ObjectModel.PowerFx" Version="1.2025.1003.2" />
     <PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.4.0" />
+    <!-- Durable Task -->
+    <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.16.2" />
+    <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.16.2-preview.1" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.16.2" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.16.2-preview.1" />
+    <!-- Azure Functions -->
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.9.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http" Version="3.3.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Mcp" Version="1.0.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.7" />
     <!-- Community -->
     <PackageVersion Include="System.Linq.Async" Version="6.0.3" />
     <!-- Test -->
-    <PackageVersion Include="FluentAssertions" Version="8.7.1" />
+    <PackageVersion Include="FluentAssertions" Version="8.8.0" />
+    <PackageVersion Include="Microsoft.AspNetCore.TestHost" Version="9.0.11" />
     <PackageVersion Include="Microsoft.NET.Test.Sdk" Version="18.0.0" />
     <PackageVersion Include="Moq" Version="[4.18.4]" />
-    <PackageVersion Include="Microsoft.SemanticKernel.Agents.Abstractions" Version="1.66.0" />
-    <PackageVersion Include="Microsoft.SemanticKernel.Agents.Yaml" Version="1.66.0-beta" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Agents.Abstractions" Version="1.67.0" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Agents.Yaml" Version="1.67.0-beta" />
     <PackageVersion Include="xunit" Version="2.9.3" />
     <PackageVersion Include="xunit.abstractions" Version="2.0.3" />
     <PackageVersion Include="xunit.runner.visualstudio" Version="3.1.3" />
@@ -106,7 +129,7 @@
     <PackageVersion Include="Microsoft.SourceLink.GitHub" Version="8.0.0" />
     <!-- Toolset -->
     <PackageVersion Include="Microsoft.CodeAnalysis.CSharp" Version="4.14.0" />
-    <PackageVersion Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="9.0.0" />
+    <PackageVersion Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100" />
     <PackageReference Include="Microsoft.CodeAnalysis.NetAnalyzers">
       <PrivateAssets>all</PrivateAssets>
       <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
@@ -126,7 +149,7 @@
       <PrivateAssets>all</PrivateAssets>
       <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
     </PackageReference>
-    <PackageVersion Include="Roslynator.Analyzers" Version="[4.14.0]" />
+    <PackageVersion Include="Roslynator.Analyzers" Version="[4.14.1]" />
     <PackageReference Include="Roslynator.Analyzers">
       <PrivateAssets>all</PrivateAssets>
       <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>

dotnet/agent-framework-dotnet.slnx

@@ -18,6 +18,22 @@
     <Project Path="samples/AgentWebChat/AgentWebChat.ServiceDefaults/AgentWebChat.ServiceDefaults.csproj" />
     <Project Path="samples/AgentWebChat/AgentWebChat.Web/AgentWebChat.Web.csproj" />
   </Folder>
+  <Folder Name="/Samples/AGUIClientServer/">
+    <Project Path="samples/AGUIClientServer/AGUIClient/AGUIClient.csproj" />
+    <Project Path="samples/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj" />
+    <Project Path="samples/AGUIClientServer/AGUIServer/AGUIServer.csproj" />
+  </Folder>
+  <Folder Name="/Samples/AzureFunctions/">
+    <File Path="samples/AzureFunctions/.editorconfig" />
+    <File Path="samples/AzureFunctions/README.md" />
+    <Project Path="samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj" />
+    <Project Path="samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
+    <Project Path="samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
+    <Project Path="samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
+    <Project Path="samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
+    <Project Path="samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
+    <Project Path="samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
+  </Folder>
   <Folder Name="/Samples/GettingStarted/">
     <File Path="samples/GettingStarted/README.md" />
   </Folder>
@@ -53,20 +69,40 @@
     <Project Path="samples/GettingStarted/Agents/Agent_Step10_AsMcpTool/Agent_Step10_AsMcpTool.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step11_UsingImages/Agent_Step11_UsingImages.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step12_AsFunctionTool/Agent_Step12_AsFunctionTool.csproj" />
-    <Project Path="samples/GettingStarted/Agents/Agent_Step13_Memory/Agent_Step13_Memory.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step13_BackgroundResponsesWithToolsAndPersistence/Agent_Step13_BackgroundResponsesWithToolsAndPersistence.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step14_Middleware/Agent_Step14_Middleware.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step15_Plugins/Agent_Step15_Plugins.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step16_ChatReduction/Agent_Step16_ChatReduction.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step17_BackgroundResponses/Agent_Step17_BackgroundResponses.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step18_DeepResearch/Agent_Step18_DeepResearch.csproj" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/DevUI/">
+    <File Path="samples/GettingStarted/DevUI/README.md" />
+    <Project Path="samples/GettingStarted/DevUI/DevUI_Step01_BasicUsage/DevUI_Step01_BasicUsage.csproj" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/AgentWithMemory/">
+    <File Path="samples/GettingStarted/AgentWithMemory/README.md" />
+    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/AgentWithMemory_Step01_ChatHistoryMemory.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/AgentWithMemory_Step02_MemoryUsingMem0.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step03_CustomMemory/AgentWithMemory_Step03_CustomMemory.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/AgentWithOpenAI/">
     <File Path="samples/GettingStarted/AgentWithOpenAI/README.md" />
     <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
     <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
   </Folder>
+  <Folder Name="/Samples/GettingStarted/AgentWithRAG/">
+    <File Path="samples/GettingStarted/AgentWithRAG/README.md" />
+    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/AgentWithRAG_Step01_BasicTextRAG.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/AgentWithRAG_Step02_CustomVectorStoreRAG.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/AgentWithRAG_Step03_CustomRAGDataSource.csproj" />
+  </Folder>
   <Folder Name="/Samples/GettingStarted/ModelContextProtocol/">
+    <File Path="samples/GettingStarted/ModelContextProtocol/README.md" />
     <Project Path="samples/GettingStarted/ModelContextProtocol/Agent_MCP_Server/Agent_MCP_Server.csproj" />
     <Project Path="samples/GettingStarted/ModelContextProtocol/Agent_MCP_Server_Auth/Agent_MCP_Server_Auth.csproj" />
     <Project Path="samples/GettingStarted/ModelContextProtocol/FoundryAgent_Hosted_MCP/FoundryAgent_Hosted_MCP.csproj" />
+    <Project Path="samples/GettingStarted/ModelContextProtocol/ResponseAgent_Hosted_MCP/ResponseAgent_Hosted_MCP.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/Observability/">
     <Project Path="samples/GettingStarted/AgentOpenTelemetry/AgentOpenTelemetry.csproj" />
@@ -119,6 +155,7 @@
   <Folder Name="/Samples/GettingStarted/Workflows/Observability/">
     <Project Path="samples/GettingStarted/Workflows/Observability/ApplicationInsights/ApplicationInsights.csproj" />
     <Project Path="samples/GettingStarted/Workflows/Observability/AspireDashboard/AspireDashboard.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Observability/WorkflowAsAnAgent/WorkflowAsAnAgentObservability.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/Workflows/Visualization/">
     <Project Path="samples/GettingStarted/Workflows/Visualization/Visualization.csproj" Id="99bf0bc6-2440-428e-b3e7-d880e4b7a5fd" />
@@ -130,9 +167,13 @@
     <Project Path="samples/GettingStarted/Workflows/_Foundational/04_AgentWorkflowPatterns/04_AgentWorkflowPatterns.csproj" />
     <Project Path="samples/GettingStarted/Workflows/_Foundational/05_MultiModelService/05_MultiModelService.csproj" />
     <Project Path="samples/GettingStarted/Workflows/_Foundational/06_SubWorkflows/06_SubWorkflows.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/_Foundational/07_MixedWorkflowAgentsAndExecutors/07_MixedWorkflowAgentsAndExecutors.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/_Foundational/08_WriterCriticWorkflow/08_WriterCriticWorkflow.csproj" />
   </Folder>
-  <Folder Name="/Samples/SemanticKernelMigration/">
-    <File Path="samples/SemanticKernelMigration/README.md" />
+  <Folder Name="/Samples/HostedAgents/">
+    <Project Path="samples/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
+    <Project Path="samples/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
+    <Project Path="samples/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
   </Folder>
   <Folder Name="/Solution Items/">
     <File Path=".editorconfig" />
@@ -160,8 +201,14 @@
   <Folder Name="/Solution Items/docs/" />
   <Folder Name="/Solution Items/docs/decisions/">
     <File Path="../docs/decisions/0001-agent-run-response.md" />
-    <File Path="../docs/decisions/0001-agent-tools.md" />
-    <File Path="../docs/decisions/0002-agent-opentelemetry-instrumentation.md" />
+    <File Path="../docs/decisions/0002-agent-tools.md" />
+    <File Path="../docs/decisions/0003-agent-opentelemetry-instrumentation.md" />
+    <File Path="../docs/decisions/0004-foundry-sdk-extensions.md" />
+    <File Path="../docs/decisions/0005-python-naming-conventions.md" />
+    <File Path="../docs/decisions/0006-userapproval.md" />
+    <File Path="../docs/decisions/0007-agent-filtering-middleware.md" />
+    <File Path="../docs/decisions/0008-python-subpackages.md" />
+    <File Path="../docs/decisions/0009-support-long-running-operations.md" />
     <File Path="../docs/decisions/adr-short-template.md" />
     <File Path="../docs/decisions/adr-template.md" />
     <File Path="../docs/decisions/README.md" />
@@ -228,6 +275,7 @@
   </Folder>
   <Folder Name="/Solution Items/src/Shared/IntegrationTests/">
     <File Path="src/Shared/IntegrationTests/AzureAIConfiguration.cs" />
+    <File Path="src/Shared/IntegrationTests/Mem0Configuration.cs" />
     <File Path="src/Shared/IntegrationTests/OpenAIConfiguration.cs" />
     <File Path="src/Shared/IntegrationTests/README.md" />
   </Folder>
@@ -249,12 +297,18 @@
   <Folder Name="/src/">
     <Project Path="src/Microsoft.Agents.AI.A2A/Microsoft.Agents.AI.A2A.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Abstractions/Microsoft.Agents.AI.Abstractions.csproj" />
-    <Project Path="src/Microsoft.Agents.AI.AzureAI/Microsoft.Agents.AI.AzureAI.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.AGUI/Microsoft.Agents.AI.AGUI.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.AzureAI.Persistent/Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
     <Project Path="src/Microsoft.Agents.AI.CopilotStudio/Microsoft.Agents.AI.CopilotStudio.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.DevUI/Microsoft.Agents.AI.DevUI.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting.A2A.AspNetCore/Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
     <Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
@@ -265,6 +319,10 @@
     <Project Path="tests/AgentConformance.IntegrationTests/AgentConformance.IntegrationTests.csproj" />
     <Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
     <Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Mem0.IntegrationTests/Microsoft.Agents.AI.Mem0.IntegrationTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.csproj" />
     <Project Path="tests/OpenAIAssistant.IntegrationTests/OpenAIAssistant.IntegrationTests.csproj" />
     <Project Path="tests/OpenAIChatCompletion.IntegrationTests/OpenAIChatCompletion.IntegrationTests.csproj" />
@@ -273,12 +331,18 @@
   <Folder Name="/Tests/UnitTests/">
     <Project Path="tests/Microsoft.Agents.AI.A2A.UnitTests/Microsoft.Agents.AI.A2A.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Abstractions.UnitTests/Microsoft.Agents.AI.Abstractions.UnitTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.AzureAI.UnitTests/Microsoft.Agents.AI.AzureAI.UnitTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.Tests/Microsoft.Agents.AI.Hosting.A2A.Tests.csproj" Id="2a1c544d-237d-4436-8732-ba0c447ac06b" />
+    <Project Path="tests/Microsoft.Agents.AI.AGUI.UnitTests/Microsoft.Agents.AI.AGUI.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Microsoft.Agents.AI.Hosting.A2A.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Hosting.UnitTests/Microsoft.Agents.AI.Hosting.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.UnitTests/Microsoft.Agents.AI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.UnitTests/Microsoft.Agents.AI.Workflows.UnitTests.csproj" />
   </Folder>
-</Solution>
+</Solution>

dotnet/nuget/nuget-package.props

@@ -2,9 +2,9 @@
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
     <VersionPrefix>1.0.0</VersionPrefix>
-    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).251016.1</PackageVersion>
-    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.251016.1</PackageVersion>
-    <GitTag>1.0.0-preview.251016.1</GitTag>
+    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).251112.1</PackageVersion>
+    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.251112.1</PackageVersion>
+    <GitTag>1.0.0-preview.251112.1</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/.gitignore

@@ -1 +0,0 @@
-launchSettings.json

dotnet/samples/A2AClientServer/A2AServer/A2AServer.csproj

@@ -1,4 +1,4 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
@@ -9,7 +9,6 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="A2A.AspNetCore" />
     <PackageReference Include="Azure.AI.Agents.Persistent" />
     <PackageReference Include="Azure.Identity" />
     <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
@@ -17,8 +16,11 @@
   </ItemGroup>
 
   <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.A2A\Microsoft.Agents.AI.Hosting.A2A.csproj" />
+
     <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
-    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.AzureAI.Persistent\Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
     <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

dotnet/samples/A2AClientServer/A2AServer/HostAgentFactory.cs

@@ -4,7 +4,6 @@ using A2A;
 using Azure.AI.Agents.Persistent;
 using Azure.Identity;
 using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.A2A;
 using Microsoft.Extensions.AI;
 using OpenAI;
 
@@ -12,7 +11,7 @@ namespace A2AServer;
 
 internal static class HostAgentFactory
 {
-    internal static async Task<A2AHostAgent> CreateFoundryHostAgentAsync(string agentType, string model, string endpoint, string assistantId, IList<AITool>? tools = null)
+    internal static async Task<(AIAgent, AgentCard)> CreateFoundryHostAgentAsync(string agentType, string model, string endpoint, string assistantId, IList<AITool>? tools = null)
     {
         var persistentAgentsClient = new PersistentAgentsClient(endpoint, new AzureCliCredential());
         PersistentAgent persistentAgent = await persistentAgentsClient.Administration.GetAgentAsync(assistantId);
@@ -28,10 +27,10 @@ internal static class HostAgentFactory
             _ => throw new ArgumentException($"Unsupported agent type: {agentType}"),
         };
 
-        return new A2AHostAgent(agent, agentCard);
+        return new(agent, agentCard);
     }
 
-    internal static async Task<A2AHostAgent> CreateChatCompletionHostAgentAsync(string agentType, string model, string apiKey, string name, string instructions, IList<AITool>? tools = null)
+    internal static async Task<(AIAgent, AgentCard)> CreateChatCompletionHostAgentAsync(string agentType, string model, string apiKey, string name, string instructions, IList<AITool>? tools = null)
     {
         AIAgent agent = new OpenAIClient(apiKey)
              .GetChatClient(model)
@@ -45,7 +44,7 @@ internal static class HostAgentFactory
             _ => throw new ArgumentException($"Unsupported agent type: {agentType}"),
         };
 
-        return new A2AHostAgent(agent, agentCard);
+        return new(agent, agentCard);
     }
 
     #region private

dotnet/samples/A2AClientServer/A2AServer/Program.cs

@@ -2,7 +2,7 @@
 using A2A;
 using A2A.AspNetCore;
 using A2AServer;
-using Microsoft.Agents.AI.A2A;
+using Microsoft.Agents.AI;
 using Microsoft.AspNetCore.Builder;
 using Microsoft.Extensions.AI;
 using Microsoft.Extensions.Configuration;
@@ -47,10 +47,12 @@ IList<AITool> tools =
     AIFunctionFactory.Create(invoiceQueryPlugin.QueryByInvoiceId)
     ];
 
-A2AHostAgent? hostAgent = null;
+AIAgent hostA2AAgent;
+AgentCard hostA2AAgentCard;
+
 if (!string.IsNullOrEmpty(endpoint) && !string.IsNullOrEmpty(agentId))
 {
-    hostAgent = agentType.ToUpperInvariant() switch
+    (hostA2AAgent, hostA2AAgentCard) = agentType.ToUpperInvariant() switch
     {
         "INVOICE" => await HostAgentFactory.CreateFoundryHostAgentAsync(agentType, model, endpoint, agentId, tools),
         "POLICY" => await HostAgentFactory.CreateFoundryHostAgentAsync(agentType, model, endpoint, agentId),
@@ -60,7 +62,7 @@ if (!string.IsNullOrEmpty(endpoint) && !string.IsNullOrEmpty(agentId))
 }
 else if (!string.IsNullOrEmpty(apiKey))
 {
-    hostAgent = agentType.ToUpperInvariant() switch
+    (hostA2AAgent, hostA2AAgentCard) = agentType.ToUpperInvariant() switch
     {
         "INVOICE" => await HostAgentFactory.CreateChatCompletionHostAgentAsync(
             agentType, model, apiKey, "InvoiceAgent",
@@ -102,7 +104,10 @@ else
     throw new ArgumentException("Either A2AServer:ApiKey or A2AServer:ConnectionString & agentId must be provided");
 }
 
-app.MapA2A(hostAgent!.TaskManager!, "/");
-app.MapWellKnownAgentCard(hostAgent!.TaskManager!, "/");
+var a2aTaskManager = app.MapA2A(
+    hostA2AAgent,
+    path: "/",
+    agentCard: hostA2AAgentCard,
+    taskManager => app.MapWellKnownAgentCard(taskManager, "/"));
 
 await app.RunAsync();

dotnet/samples/AGUIClientServer/AGUIClient/AGUIClient.csproj

@@ -0,0 +1,23 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net9.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <UserSecretsId>a8b2e9f0-1ea3-4f18-9d41-42d1a6f8fe10</UserSecretsId>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="System.CommandLine" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
+    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/AGUIClientServer/AGUIClient/AGUIClientSerializerContext.cs

@@ -0,0 +1,12 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
+// and display streaming updates including conversation/response metadata, text content, and errors.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIClient;
+
+[JsonSerializable(typeof(SensorRequest))]
+[JsonSerializable(typeof(SensorResponse))]
+internal sealed partial class AGUIClientSerializerContext : JsonSerializerContext;

dotnet/samples/AGUIClientServer/AGUIClient/Program.cs

@@ -0,0 +1,213 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
+// and display streaming updates including conversation/response metadata, text content, and errors.
+
+using System.CommandLine;
+using System.ComponentModel;
+using System.Reflection;
+using System.Text;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.AGUI;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.Configuration;
+using Microsoft.Extensions.Logging;
+
+namespace AGUIClient;
+
+public static class Program
+{
+    public static async Task<int> Main(string[] args)
+    {
+        // Create root command with options
+        RootCommand rootCommand = new("AGUIClient");
+        rootCommand.SetAction((_, ct) => HandleCommandsAsync(ct));
+
+        // Run the command
+        return await rootCommand.Parse(args).InvokeAsync();
+    }
+
+    private static async Task HandleCommandsAsync(CancellationToken cancellationToken)
+    {
+        // Set up the logging
+        using ILoggerFactory loggerFactory = LoggerFactory.Create(builder =>
+        {
+            builder.AddConsole();
+            builder.SetMinimumLevel(LogLevel.Information);
+        });
+        ILogger logger = loggerFactory.CreateLogger("AGUIClient");
+
+        // Retrieve configuration settings
+        IConfigurationRoot configRoot = new ConfigurationBuilder()
+            .AddEnvironmentVariables()
+            .AddUserSecrets(Assembly.GetExecutingAssembly())
+            .Build();
+
+        string serverUrl = configRoot["AGUI_SERVER_URL"] ?? "http://localhost:5100";
+
+        logger.LogInformation("Connecting to AG-UI server at: {ServerUrl}", serverUrl);
+
+        // Create the AG-UI client agent
+        using HttpClient httpClient = new()
+        {
+            Timeout = TimeSpan.FromSeconds(60)
+        };
+
+        var changeBackground = AIFunctionFactory.Create(
+            () =>
+            {
+                Console.ForegroundColor = ConsoleColor.DarkBlue;
+                Console.WriteLine("Changing color to blue");
+            },
+            name: "change_background_color",
+            description: "Change the console background color to dark blue."
+        );
+
+        var readClientClimateSensors = AIFunctionFactory.Create(
+            ([Description("The sensors measurements to include in the response")] SensorRequest request) =>
+            {
+                return new SensorResponse()
+                {
+                    Temperature = 22.5,
+                    Humidity = 45.0,
+                    AirQualityIndex = 75
+                };
+            },
+            name: "read_client_climate_sensors",
+            description: "Reads the climate sensor data from the client device.",
+            serializerOptions: AGUIClientSerializerContext.Default.Options
+        );
+
+        var chatClient = new AGUIChatClient(
+            httpClient,
+            serverUrl,
+            jsonSerializerOptions: AGUIClientSerializerContext.Default.Options);
+
+        AIAgent agent = chatClient.CreateAIAgent(
+            name: "agui-client",
+            description: "AG-UI Client Agent",
+            tools: [changeBackground, readClientClimateSensors]);
+
+        AgentThread thread = agent.GetNewThread();
+        List<ChatMessage> messages = [new(ChatRole.System, "You are a helpful assistant.")];
+        try
+        {
+            while (true)
+            {
+                // Get user message
+                Console.Write("\nUser (:q or quit to exit): ");
+                string? message = Console.ReadLine();
+                if (string.IsNullOrWhiteSpace(message))
+                {
+                    Console.WriteLine("Request cannot be empty.");
+                    continue;
+                }
+
+                if (message is ":q" or "quit")
+                {
+                    break;
+                }
+
+                messages.Add(new(ChatRole.User, message));
+
+                // Call RunStreamingAsync to get streaming updates
+                bool isFirstUpdate = true;
+                string? threadId = null;
+                var updates = new List<ChatResponseUpdate>();
+                await foreach (AgentRunResponseUpdate update in agent.RunStreamingAsync(messages, thread, cancellationToken: cancellationToken))
+                {
+                    // Use AsChatResponseUpdate to access ChatResponseUpdate properties
+                    ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
+                    updates.Add(chatUpdate);
+                    if (chatUpdate.ConversationId != null)
+                    {
+                        threadId = chatUpdate.ConversationId;
+                    }
+
+                    // Display run started information from the first update
+                    if (isFirstUpdate && threadId != null && update.ResponseId != null)
+                    {
+                        Console.ForegroundColor = ConsoleColor.Yellow;
+                        Console.WriteLine($"\n[Run Started - Thread: {threadId}, Run: {update.ResponseId}]");
+                        Console.ResetColor();
+                        isFirstUpdate = false;
+                    }
+
+                    // Display different content types with appropriate formatting
+                    foreach (AIContent content in update.Contents)
+                    {
+                        switch (content)
+                        {
+                            case TextContent textContent:
+                                Console.ForegroundColor = ConsoleColor.Cyan;
+                                Console.Write(textContent.Text);
+                                Console.ResetColor();
+                                break;
+
+                            case FunctionCallContent functionCallContent:
+                                Console.ForegroundColor = ConsoleColor.Green;
+                                Console.WriteLine($"\n[Function Call - Name: {functionCallContent.Name}, Arguments: {PrintArguments(functionCallContent.Arguments)}]");
+                                Console.ResetColor();
+                                break;
+
+                            case FunctionResultContent functionResultContent:
+                                Console.ForegroundColor = ConsoleColor.Magenta;
+                                if (functionResultContent.Exception != null)
+                                {
+                                    Console.WriteLine($"\n[Function Result - Exception: {functionResultContent.Exception}]");
+                                }
+                                else
+                                {
+                                    Console.WriteLine($"\n[Function Result - Result: {functionResultContent.Result}]");
+                                }
+                                Console.ResetColor();
+                                break;
+
+                            case ErrorContent errorContent:
+                                Console.ForegroundColor = ConsoleColor.Red;
+                                string code = errorContent.AdditionalProperties?["Code"] as string ?? "Unknown";
+                                Console.WriteLine($"\n[Error - Code: {code}, Message: {errorContent.Message}]");
+                                Console.ResetColor();
+                                break;
+                        }
+                    }
+                }
+                if (updates.Count > 0 && !updates[^1].Contents.Any(c => c is TextContent))
+                {
+                    var lastUpdate = updates[^1];
+                    Console.ForegroundColor = ConsoleColor.Yellow;
+                    Console.WriteLine();
+                    Console.WriteLine($"[Run Ended - Thread: {threadId}, Run: {lastUpdate.ResponseId}]");
+                    Console.ResetColor();
+                }
+                messages.Clear();
+                Console.WriteLine();
+            }
+        }
+        catch (OperationCanceledException)
+        {
+            logger.LogInformation("AGUIClient operation was canceled.");
+        }
+        catch (Exception ex) when (ex is not OutOfMemoryException and not StackOverflowException and not ThreadAbortException and not AccessViolationException)
+        {
+            logger.LogError(ex, "An error occurred while running the AGUIClient");
+            return;
+        }
+    }
+
+    private static string PrintArguments(IDictionary<string, object?>? arguments)
+    {
+        if (arguments == null)
+        {
+            return "";
+        }
+        var builder = new StringBuilder();
+        builder.AppendLine();
+        foreach (var kvp in arguments)
+        {
+            builder.AppendLine($"   Name: {kvp.Key}");
+            builder.AppendLine($"   Value: {kvp.Value}");
+        }
+        return builder.ToString();
+    }
+}

dotnet/samples/AGUIClientServer/AGUIClient/README.md

@@ -0,0 +1,34 @@
+# AG-UI Client
+
+This is a console application that demonstrates how to connect to an AG-UI server and interact with remote agents using the AG-UI protocol.
+
+## Features
+
+- Connects to an AG-UI server endpoint
+- Displays streaming updates with color-coded output:
+  - **Yellow**: Run started notifications
+  - **Cyan**: Agent text responses (streamed)
+  - **Green**: Run finished notifications
+  - **Red**: Error messages (if any)
+- Interactive prompt loop for sending messages
+
+## Configuration
+
+Set the following environment variable to specify the AG-UI server URL:
+
+```powershell
+$env:AGUI_SERVER_URL="http://localhost:5100"
+```
+
+If not set, the default is `http://localhost:5100`.
+
+## Running the Client
+
+1. Make sure the AG-UI server is running
+2. Run the client:
+   ```bash
+   cd AGUIClient
+   dotnet run
+   ```
+3. Enter your messages and observe the streaming updates
+4. Type `:q` or `quit` to exit

dotnet/samples/AGUIClientServer/AGUIClient/SensorRequest.cs

@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
+// and display streaming updates including conversation/response metadata, text content, and errors.
+
+namespace AGUIClient;
+
+internal sealed class SensorRequest
+{
+    public bool IncludeTemperature { get; set; } = true;
+    public bool IncludeHumidity { get; set; } = true;
+    public bool IncludeAirQualityIndex { get; set; } = true;
+}

dotnet/samples/AGUIClientServer/AGUIClient/SensorResponse.cs

@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use the AG-UI client to connect to a remote AG-UI server
+// and display streaming updates including conversation/response metadata, text content, and errors.
+
+namespace AGUIClient;
+
+internal sealed class SensorResponse
+{
+    public double Temperature { get; set; }
+    public double Humidity { get; set; }
+    public int AirQualityIndex { get; set; }
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj

@@ -0,0 +1,24 @@
+<Project Sdk="Microsoft.NET.Sdk.Web">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net9.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <UserSecretsId>b9c3f1e1-2fb4-5g29-0e52-53e2b7g9gf21</UserSecretsId>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
+    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/AGUIClientServer/AGUIDojoServer/AGUIDojoServerSerializerContext.cs

@@ -0,0 +1,11 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIDojoServer;
+
+[JsonSerializable(typeof(WeatherInfo))]
+[JsonSerializable(typeof(Recipe))]
+[JsonSerializable(typeof(Ingredient))]
+[JsonSerializable(typeof(RecipeResponse))]
+internal sealed partial class AGUIDojoServerSerializerContext : JsonSerializerContext;

dotnet/samples/AGUIClientServer/AGUIDojoServer/ChatClientAgentFactory.cs

@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.ComponentModel;
+using System.Text.Json;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using ChatClient = OpenAI.Chat.ChatClient;
+
+namespace AGUIDojoServer;
+
+internal static class ChatClientAgentFactory
+{
+    private static AzureOpenAIClient? s_azureOpenAIClient;
+    private static string? s_deploymentName;
+
+    public static void Initialize(IConfiguration configuration)
+    {
+        string endpoint = configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+        s_deploymentName = configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
+
+        s_azureOpenAIClient = new AzureOpenAIClient(
+            new Uri(endpoint),
+            new DefaultAzureCredential());
+    }
+
+    public static ChatClientAgent CreateAgenticChat()
+    {
+        ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
+
+        return chatClient.AsIChatClient().CreateAIAgent(
+            name: "AgenticChat",
+            description: "A simple chat agent using Azure OpenAI");
+    }
+
+    public static ChatClientAgent CreateBackendToolRendering()
+    {
+        ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
+
+        return chatClient.AsIChatClient().CreateAIAgent(
+            name: "BackendToolRenderer",
+            description: "An agent that can render backend tools using Azure OpenAI",
+            tools: [AIFunctionFactory.Create(
+                GetWeather,
+                name: "get_weather",
+                description: "Get the weather for a given location.",
+                AGUIDojoServerSerializerContext.Default.Options)]);
+    }
+
+    public static ChatClientAgent CreateHumanInTheLoop()
+    {
+        ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
+
+        return chatClient.AsIChatClient().CreateAIAgent(
+            name: "HumanInTheLoopAgent",
+            description: "An agent that involves human feedback in its decision-making process using Azure OpenAI");
+    }
+
+    public static ChatClientAgent CreateToolBasedGenerativeUI()
+    {
+        ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
+
+        return chatClient.AsIChatClient().CreateAIAgent(
+            name: "ToolBasedGenerativeUIAgent",
+            description: "An agent that uses tools to generate user interfaces using Azure OpenAI");
+    }
+
+    public static ChatClientAgent CreateAgenticUI()
+    {
+        ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
+
+        return chatClient.AsIChatClient().CreateAIAgent(
+            name: "AgenticUIAgent",
+            description: "An agent that generates agentic user interfaces using Azure OpenAI");
+    }
+
+    public static AIAgent CreateSharedState(JsonSerializerOptions options)
+    {
+        ChatClient chatClient = s_azureOpenAIClient!.GetChatClient(s_deploymentName!);
+
+        var baseAgent = chatClient.AsIChatClient().CreateAIAgent(
+            name: "SharedStateAgent",
+            description: "An agent that demonstrates shared state patterns using Azure OpenAI");
+
+        return new SharedStateAgent(baseAgent, options);
+    }
+
+    [Description("Get the weather for a given location.")]
+    private static WeatherInfo GetWeather([Description("The location to get the weather for.")] string location) => new()
+    {
+        Temperature = 20,
+        Conditions = "sunny",
+        Humidity = 50,
+        WindSpeed = 10,
+        FeelsLike = 25
+    };
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/Ingredient.cs

@@ -0,0 +1,17 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIDojoServer;
+
+internal sealed class Ingredient
+{
+    [JsonPropertyName("icon")]
+    public string Icon { get; set; } = string.Empty;
+
+    [JsonPropertyName("name")]
+    public string Name { get; set; } = string.Empty;
+
+    [JsonPropertyName("amount")]
+    public string Amount { get; set; } = string.Empty;
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/Program.cs

@@ -0,0 +1,45 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using AGUIDojoServer;
+using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
+using Microsoft.AspNetCore.HttpLogging;
+using Microsoft.Extensions.Options;
+
+WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
+
+builder.Services.AddHttpLogging(logging =>
+{
+    logging.LoggingFields = HttpLoggingFields.RequestPropertiesAndHeaders | HttpLoggingFields.RequestBody
+        | HttpLoggingFields.ResponsePropertiesAndHeaders | HttpLoggingFields.ResponseBody;
+    logging.RequestBodyLogLimit = int.MaxValue;
+    logging.ResponseBodyLogLimit = int.MaxValue;
+});
+
+builder.Services.AddHttpClient().AddLogging();
+builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIDojoServerSerializerContext.Default));
+builder.Services.AddAGUI();
+
+WebApplication app = builder.Build();
+
+app.UseHttpLogging();
+
+// Initialize the factory
+ChatClientAgentFactory.Initialize(app.Configuration);
+
+// Map the AG-UI agent endpoints for different scenarios
+app.MapAGUI("/agentic_chat", ChatClientAgentFactory.CreateAgenticChat());
+
+app.MapAGUI("/backend_tool_rendering", ChatClientAgentFactory.CreateBackendToolRendering());
+
+app.MapAGUI("/human_in_the_loop", ChatClientAgentFactory.CreateHumanInTheLoop());
+
+app.MapAGUI("/tool_based_generative_ui", ChatClientAgentFactory.CreateToolBasedGenerativeUI());
+
+app.MapAGUI("/agentic_generative_ui", ChatClientAgentFactory.CreateAgenticUI());
+
+var jsonOptions = app.Services.GetRequiredService<IOptions<Microsoft.AspNetCore.Http.Json.JsonOptions>>();
+app.MapAGUI("/shared_state", ChatClientAgentFactory.CreateSharedState(jsonOptions.Value.SerializerOptions));
+
+await app.RunAsync();
+
+public partial class Program { }

dotnet/samples/AGUIClientServer/AGUIDojoServer/Properties/launchSettings.json

@@ -0,0 +1,12 @@
+{
+  "profiles": {
+    "AGUIDojoServer": {
+      "commandName": "Project",
+      "launchBrowser": true,
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      },
+      "applicationUrl": "http://localhost:5018"
+    }
+  }
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/Recipe.cs

@@ -0,0 +1,26 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIDojoServer;
+
+internal sealed class Recipe
+{
+    [JsonPropertyName("title")]
+    public string Title { get; set; } = string.Empty;
+
+    [JsonPropertyName("skill_level")]
+    public string SkillLevel { get; set; } = string.Empty;
+
+    [JsonPropertyName("cooking_time")]
+    public string CookingTime { get; set; } = string.Empty;
+
+    [JsonPropertyName("special_preferences")]
+    public List<string> SpecialPreferences { get; set; } = [];
+
+    [JsonPropertyName("ingredients")]
+    public List<Ingredient> Ingredients { get; set; } = [];
+
+    [JsonPropertyName("instructions")]
+    public List<string> Instructions { get; set; } = [];
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/RecipeResponse.cs

@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIDojoServer;
+
+#pragma warning disable CA1812 // Used for the JsonSchema response format
+internal sealed class RecipeResponse
+#pragma warning restore CA1812
+{
+    [JsonPropertyName("recipe")]
+    public Recipe Recipe { get; set; } = new();
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/SharedStateAgent.cs

@@ -0,0 +1,106 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Diagnostics.CodeAnalysis;
+using System.Runtime.CompilerServices;
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+
+namespace AGUIDojoServer;
+
+[SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by ChatClientAgentFactory.CreateSharedState")]
+internal sealed class SharedStateAgent : DelegatingAIAgent
+{
+    private readonly JsonSerializerOptions _jsonSerializerOptions;
+
+    public SharedStateAgent(AIAgent innerAgent, JsonSerializerOptions jsonSerializerOptions)
+        : base(innerAgent)
+    {
+        this._jsonSerializerOptions = jsonSerializerOptions;
+    }
+
+    public override Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+    {
+        return this.RunStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
+    }
+
+    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+        IEnumerable<ChatMessage> messages,
+        AgentThread? thread = null,
+        AgentRunOptions? options = null,
+        [EnumeratorCancellation] CancellationToken cancellationToken = default)
+    {
+        if (options is not ChatClientAgentRunOptions { ChatOptions.AdditionalProperties: { } properties } chatRunOptions ||
+            !properties.TryGetValue("ag_ui_state", out JsonElement state))
+        {
+            await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, thread, options, cancellationToken).ConfigureAwait(false))
+            {
+                yield return update;
+            }
+            yield break;
+        }
+
+        var firstRunOptions = new ChatClientAgentRunOptions
+        {
+            ChatOptions = chatRunOptions.ChatOptions.Clone(),
+            AllowBackgroundResponses = chatRunOptions.AllowBackgroundResponses,
+            ContinuationToken = chatRunOptions.ContinuationToken,
+            ChatClientFactory = chatRunOptions.ChatClientFactory,
+        };
+
+        // Configure JSON schema response format for structured state output
+        firstRunOptions.ChatOptions.ResponseFormat = ChatResponseFormat.ForJsonSchema<RecipeResponse>(
+            schemaName: "RecipeResponse",
+            schemaDescription: "A response containing a recipe with title, skill level, cooking time, preferences, ingredients, and instructions");
+
+        ChatMessage stateUpdateMessage = new(
+            ChatRole.System,
+            [
+                new TextContent("Here is the current state in JSON format:"),
+                    new TextContent(state.GetRawText()),
+                    new TextContent("The new state is:")
+            ]);
+
+        var firstRunMessages = messages.Append(stateUpdateMessage);
+
+        var allUpdates = new List<AgentRunResponseUpdate>();
+        await foreach (var update in this.InnerAgent.RunStreamingAsync(firstRunMessages, thread, firstRunOptions, cancellationToken).ConfigureAwait(false))
+        {
+            allUpdates.Add(update);
+
+            // Yield all non-text updates (tool calls, etc.)
+            bool hasNonTextContent = update.Contents.Any(c => c is not TextContent);
+            if (hasNonTextContent)
+            {
+                yield return update;
+            }
+        }
+
+        var response = allUpdates.ToAgentRunResponse();
+
+        if (response.TryDeserialize(this._jsonSerializerOptions, out JsonElement stateSnapshot))
+        {
+            byte[] stateBytes = JsonSerializer.SerializeToUtf8Bytes(
+                stateSnapshot,
+                this._jsonSerializerOptions.GetTypeInfo(typeof(JsonElement)));
+            yield return new AgentRunResponseUpdate
+            {
+                Contents = [new DataContent(stateBytes, "application/json")]
+            };
+        }
+        else
+        {
+            yield break;
+        }
+
+        var secondRunMessages = messages.Concat(response.Messages).Append(
+            new ChatMessage(
+                ChatRole.System,
+                [new TextContent("Please provide a concise summary of the state changes in at most two sentences.")]));
+
+        await foreach (var update in this.InnerAgent.RunStreamingAsync(secondRunMessages, thread, options, cancellationToken).ConfigureAwait(false))
+        {
+            yield return update;
+        }
+    }
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/WeatherInfo.cs

@@ -0,0 +1,23 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIDojoServer;
+
+internal sealed class WeatherInfo
+{
+    [JsonPropertyName("temperature")]
+    public int Temperature { get; init; }
+
+    [JsonPropertyName("conditions")]
+    public string Conditions { get; init; } = string.Empty;
+
+    [JsonPropertyName("humidity")]
+    public int Humidity { get; init; }
+
+    [JsonPropertyName("wind_speed")]
+    public int WindSpeed { get; init; }
+
+    [JsonPropertyName("feelsLike")]
+    public int FeelsLike { get; init; }
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/appsettings.Development.json

@@ -0,0 +1,9 @@
+{
+  "Logging": {
+    "LogLevel": {
+      "Default": "Information",
+      "Microsoft.AspNetCore": "Warning",
+      "Microsoft.AspNetCore.HttpLogging.HttpLoggingMiddleware": "Information"
+    }
+  }
+}

dotnet/samples/AGUIClientServer/AGUIDojoServer/appsettings.json

@@ -0,0 +1,10 @@
+{
+  "Logging": {
+    "LogLevel": {
+      "Default": "Information",
+      "Microsoft.AspNetCore": "Warning",
+      "Microsoft.AspNetCore.HttpLogging.HttpLoggingMiddleware": "Information"
+    }
+  },
+  "AllowedHosts": "*"
+}

dotnet/samples/AGUIClientServer/AGUIServer/AGUIServer.csproj

@@ -0,0 +1,24 @@
+<Project Sdk="Microsoft.NET.Sdk.Web">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net9.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <UserSecretsId>a8b2e9f0-1ea3-4f18-9d41-42d1a6f8fe10</UserSecretsId>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" VersionOverride="10.0.0-rc.2.25502.107" />
+    <PackageReference Include="System.Net.ServerSentEvents" VersionOverride="10.0.0-rc.2.25502.107" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/AGUIClientServer/AGUIServer/AGUIServer.http

@@ -0,0 +1,17 @@
+@host = http://localhost:5100
+
+### Send a message to the AG-UI agent
+POST {{host}}/
+Content-Type: application/json
+
+{
+  "threadId": "thread_123",
+  "runId": "run_456",
+  "messages": [
+    {
+      "role": "user",
+      "content": "What is the capital of France?"
+    }
+  ],
+  "context": {}
+}

dotnet/samples/AGUIClientServer/AGUIServer/AGUIServerSerializerContext.cs

@@ -0,0 +1,9 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AGUIServer;
+
+[JsonSerializable(typeof(ServerWeatherForecastRequest))]
+[JsonSerializable(typeof(ServerWeatherForecastResponse))]
+internal sealed partial class AGUIServerSerializerContext : JsonSerializerContext;

dotnet/samples/AGUIClientServer/AGUIServer/Program.cs

@@ -0,0 +1,51 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.ComponentModel;
+using AGUIServer;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
+using Microsoft.Extensions.AI;
+using OpenAI;
+
+WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
+builder.Services.AddHttpClient().AddLogging();
+builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIServerSerializerContext.Default));
+builder.Services.AddAGUI();
+
+WebApplication app = builder.Build();
+
+string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
+
+// Create the AI agent with tools
+var agent = new AzureOpenAIClient(
+        new Uri(endpoint),
+        new DefaultAzureCredential())
+    .GetChatClient(deploymentName)
+    .CreateAIAgent(
+        name: "AGUIAssistant",
+        tools: [
+            AIFunctionFactory.Create(
+                () => DateTimeOffset.UtcNow,
+                name: "get_current_time",
+                description: "Get the current UTC time."
+            ),
+            AIFunctionFactory.Create(
+                ([Description("The weather forecast request")]ServerWeatherForecastRequest request) => {
+                    return new ServerWeatherForecastResponse()
+                    {
+                        Summary = "Sunny",
+                        TemperatureC = 25,
+                        Date = request.Date
+                    };
+                },
+                name: "get_server_weather_forecast",
+                description: "Gets the forecast for a specific location and date",
+                AGUIServerSerializerContext.Default.Options)
+        ]);
+
+// Map the AG-UI agent endpoint
+app.MapAGUI("/", agent);
+
+await app.RunAsync();

dotnet/samples/AGUIClientServer/AGUIServer/Properties/launchSettings.json

@@ -0,0 +1,12 @@
+{
+  "profiles": {
+    "AGUIServer": {
+      "commandName": "Project",
+      "launchBrowser": true,
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      },
+      "applicationUrl": "http://localhost:5100;https://localhost:5101"
+    }
+  }
+}

dotnet/samples/AGUIClientServer/AGUIServer/ServerWeatherForecastRequest.cs

@@ -0,0 +1,9 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace AGUIServer;
+
+internal sealed class ServerWeatherForecastRequest
+{
+    public DateTime Date { get; set; }
+    public string Location { get; set; } = "Seattle";
+}

dotnet/samples/AGUIClientServer/AGUIServer/ServerWeatherForecastResponse.cs

@@ -0,0 +1,12 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace AGUIServer;
+
+internal sealed class ServerWeatherForecastResponse
+{
+    public string Summary { get; set; } = "";
+
+    public int TemperatureC { get; set; }
+
+    public DateTime Date { get; set; }
+}

dotnet/samples/AGUIClientServer/README.md

@@ -0,0 +1,208 @@
+# AG-UI Client and Server Sample
+
+This sample demonstrates how to use the AG-UI (Agent UI) protocol to enable communication between a client application and a remote agent server. The AG-UI protocol provides a standardized way for clients to interact with AI agents.
+
+## Overview
+
+The demonstration has two components:
+
+1. **AGUIServer** - An ASP.NET Core web server that hosts an AI agent and exposes it via the AG-UI protocol
+2. **AGUIClient** - A console application that connects to the AG-UI server and displays streaming updates
+
+> **Warning**
+> The AG-UI protocol is still under development and changing.
+> We will try to keep these samples updated as the protocol evolves.
+
+## Configuring Environment Variables
+
+Configure the required Azure OpenAI environment variables:
+
+```powershell
+$env:AZURE_OPENAI_ENDPOINT="<<your-model-endpoint>>"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4.1-mini"
+```
+
+> **Note:** This sample uses `DefaultAzureCredential` for authentication. Make sure you're authenticated with Azure (e.g., via `az login`, Visual Studio, or environment variables).
+
+## Running the Sample
+
+### Step 1: Start the AG-UI Server
+
+```bash
+cd AGUIServer
+dotnet build
+dotnet run --urls "http://localhost:5100"
+```
+
+The server will start and listen on `http://localhost:5100`.
+
+### Step 2: Testing with the REST Client (Optional)
+
+Before running the client, you can test the server using the included `.http` file:
+
+1. Open [./AGUIServer/AGUIServer.http](./AGUIServer/AGUIServer.http) in Visual Studio or VS Code with the REST Client extension
+2. Send a test request to verify the server is working
+3. Observe the server-sent events stream in the response
+
+Sample request:
+```http
+POST http://localhost:5100/
+Content-Type: application/json
+
+{
+  "threadId": "thread_123",
+  "runId": "run_456",
+  "messages": [
+    {
+      "role": "user",
+      "content": "What is the capital of France?"
+    }
+  ],
+  "context": {}
+}
+```
+
+### Step 3: Run the AG-UI Client
+
+In a new terminal window:
+
+```bash
+cd AGUIClient
+dotnet run
+```
+
+Optionally, configure a different server URL:
+
+```powershell
+$env:AGUI_SERVER_URL="http://localhost:5100"
+```
+
+### Step 4: Interact with the Agent
+
+1. The client will connect to the AG-UI server
+2. Enter your message at the prompt
+3. Observe the streaming updates with color-coded output:
+   - **Yellow**: Run started notification showing thread and run IDs
+   - **Cyan**: Agent's text response (streamed character by character)
+   - **Green**: Run finished notification
+   - **Red**: Error messages (if any occur)
+4. Type `:q` or `quit` to exit
+
+## Sample Output
+
+```
+AGUIClient> dotnet run
+info: AGUIClient[0]
+      Connecting to AG-UI server at: http://localhost:5100
+
+User (:q or quit to exit): What is the capital of France?
+
+[Run Started - Thread: thread_abc123, Run: run_xyz789]
+The capital of France is Paris. It is known for its rich history, culture, and iconic landmarks such as the Eiffel Tower and the Louvre Museum.
+[Run Finished - Thread: thread_abc123, Run: run_xyz789]
+
+User (:q or quit to exit): Tell me a fun fact about space
+
+[Run Started - Thread: thread_abc123, Run: run_def456]
+Here's a fun fact: A day on Venus is longer than its year! Venus takes about 243 Earth days to rotate once on its axis, but only about 225 Earth days to orbit the Sun.
+[Run Finished - Thread: thread_abc123, Run: run_def456]
+
+User (:q or quit to exit): :q
+```
+
+## How It Works
+
+### Server Side
+
+The `AGUIServer` uses the `MapAGUI` extension method to expose an agent through the AG-UI protocol:
+
+```csharp
+AIAgent agent = new OpenAIClient(apiKey)
+    .GetChatClient(model)
+    .CreateAIAgent(
+        instructions: "You are a helpful assistant.",
+        name: "AGUIAssistant");
+
+app.MapAGUI("/", agent);
+```
+
+This automatically handles:
+- HTTP POST requests with message payloads
+- Converting agent responses to AG-UI event streams
+- Server-sent events (SSE) formatting
+- Thread and run management
+
+### Client Side
+
+The `AGUIClient` uses the `AGUIChatClient` to connect to the remote server:
+
+```csharp
+using HttpClient httpClient = new();
+var chatClient = new AGUIChatClient(
+    httpClient,
+    endpoint: serverUrl,
+    modelId: "agui-client",
+    jsonSerializerOptions: null);
+
+AIAgent agent = chatClient.CreateAIAgent(
+    instructions: null,
+    name: "agui-client",
+    description: "AG-UI Client Agent",
+    tools: []);
+
+bool isFirstUpdate = true;
+AgentRunResponseUpdate? currentUpdate = null;
+
+await foreach (AgentRunResponseUpdate update in agent.RunStreamingAsync(messages, thread))
+{
+    // First update indicates run started
+    if (isFirstUpdate)
+    {
+        Console.WriteLine($"[Run Started - Thread: {update.ConversationId}, Run: {update.ResponseId}]");
+        isFirstUpdate = false;
+    }
+    
+    currentUpdate = update;
+    
+    foreach (AIContent content in update.Contents)
+    {
+        switch (content)
+        {
+            case TextContent textContent:
+                // Display streaming text
+                Console.Write(textContent.Text);
+                break;
+            case ErrorContent errorContent:
+                // Display error notification
+                Console.WriteLine($"[Error: {errorContent.Message}]");
+                break;
+        }
+    }
+}
+
+// Last update indicates run finished
+if (currentUpdate != null)
+{
+    Console.WriteLine($"\n[Run Finished - Thread: {currentUpdate.ConversationId}, Run: {currentUpdate.ResponseId}]");
+}
+```
+
+The `RunStreamingAsync` method:
+1. Sends messages to the server via HTTP POST
+2. Receives server-sent events (SSE) stream
+3. Parses events into `AgentRunResponseUpdate` objects
+4. Yields updates as they arrive for real-time display
+
+## Key Concepts
+
+- **Thread**: Represents a conversation context that persists across multiple runs (accessed via `ConversationId` property)
+- **Run**: A single execution of the agent for a given set of messages (identified by `ResponseId` property)
+- **AgentRunResponseUpdate**: Contains the response data with:
+  - `ResponseId`: The unique run identifier
+  - `ConversationId`: The thread/conversation identifier
+  - `Contents`: Collection of content items (TextContent, ErrorContent, etc.)
+- **Run Lifecycle**: 
+  - The **first** `AgentRunResponseUpdate` in a run indicates the run has started
+  - Subsequent updates contain streaming content as the agent processes
+  - The **last** `AgentRunResponseUpdate` in a run indicates the run has finished
+  - If an error occurs, the update will contain `ErrorContent`

dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/AgentWebChat.AgentHost.csproj

@@ -1,4 +1,4 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
+<Project Sdk="Microsoft.NET.Sdk.Web">
 
   <PropertyGroup>
     <TargetFramework>net9.0</TargetFramework>
@@ -13,7 +13,7 @@
     <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
     <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
     <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
-	  <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.OpenAI\Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.OpenAI\Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
     <ProjectReference Include="..\AgentWebChat.ServiceDefaults\AgentWebChat.ServiceDefaults.csproj" />
   </ItemGroup>
 
@@ -37,4 +37,4 @@
   </ItemGroup>
   <!-- A2A dependency -->
 
-</Project>
+</Project>

dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Custom/CustomAITools.cs

@@ -0,0 +1,17 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Extensions.AI;
+
+namespace AgentWebChat.AgentHost.Custom;
+
+public class CustomAITool : AITool
+{
+}
+
+public class CustomFunctionTool : AIFunction
+{
+    protected override ValueTask<object?> InvokeCoreAsync(AIFunctionArguments arguments, CancellationToken cancellationToken)
+    {
+        return new ValueTask<object?>(arguments.Context?.Count ?? 0);
+    }
+}

dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Program.cs

@@ -2,11 +2,10 @@
 
 using A2A.AspNetCore;
 using AgentWebChat.AgentHost;
+using AgentWebChat.AgentHost.Custom;
 using AgentWebChat.AgentHost.Utilities;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Hosting;
-using Microsoft.Agents.AI.Hosting.A2A.AspNetCore;
-using Microsoft.Agents.AI.Hosting.OpenAI;
 using Microsoft.Agents.AI.Workflows;
 using Microsoft.Extensions.AI;
 
@@ -22,13 +21,16 @@ builder.Services.AddProblemDetails();
 // Configure the chat model and our agent.
 builder.AddKeyedChatClient("chat-model");
 
-builder.AddAIAgent(
+var pirateAgentBuilder = builder.AddAIAgent(
     "pirate",
     instructions: "You are a pirate. Speak like a pirate",
     description: "An agent that speaks like a pirate.",
-    chatClientServiceKey: "chat-model");
+    chatClientServiceKey: "chat-model")
+    .WithAITool(new CustomAITool())
+    .WithAITool(new CustomFunctionTool())
+    .WithInMemoryThreadStore();
 
-builder.AddAIAgent("knights-and-knaves", (sp, key) =>
+var knightsKnavesAgentBuilder = builder.AddAIAgent("knights-and-knaves", (sp, key) =>
 {
     var chatClient = sp.GetRequiredKeyedService<IChatClient>("chat-model");
 
@@ -60,10 +62,7 @@ builder.AddAIAgent("knights-and-knaves", (sp, key) =>
         If the user asks a general question about their surrounding, make something up which is consistent with the scenario.
         """, "Narrator");
 
-    // TODO: How to avoid sync-over-async here?
-#pragma warning disable VSTHRD002 // Avoid problematic synchronous waits
-    return AgentWorkflowBuilder.BuildConcurrent([knight, knave, narrator]).AsAgentAsync(name: key).AsTask().GetAwaiter().GetResult();
-#pragma warning restore VSTHRD002
+    return AgentWorkflowBuilder.BuildConcurrent([knight, knave, narrator]).AsAgent(name: key);
 });
 
 // Workflow consisting of multiple specialized agents
@@ -82,8 +81,22 @@ var literatureAgent = builder.AddAIAgent("literator",
     description: "An agent that helps with literature.",
     chatClientServiceKey: "chat-model");
 
-builder.AddSequentialWorkflow("science-sequential-workflow", [chemistryAgent, mathsAgent, literatureAgent]).AddAsAIAgent();
-builder.AddConcurrentWorkflow("science-concurrent-workflow", [chemistryAgent, mathsAgent, literatureAgent]).AddAsAIAgent();
+var scienceSequentialWorkflow = builder.AddWorkflow("science-sequential-workflow", (sp, key) =>
+{
+    List<IHostedAgentBuilder> usedAgents = [chemistryAgent, mathsAgent, literatureAgent];
+    var agents = usedAgents.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
+    return AgentWorkflowBuilder.BuildSequential(workflowName: key, agents: agents);
+}).AddAsAIAgent();
+
+var scienceConcurrentWorkflow = builder.AddWorkflow("science-concurrent-workflow", (sp, key) =>
+{
+    List<IHostedAgentBuilder> usedAgents = [chemistryAgent, mathsAgent, literatureAgent];
+    var agents = usedAgents.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
+    return AgentWorkflowBuilder.BuildConcurrent(workflowName: key, agents: agents);
+}).AddAsAIAgent();
+
+builder.AddOpenAIChatCompletions();
+builder.AddOpenAIResponses();
 
 var app = builder.Build();
 
@@ -94,8 +107,8 @@ app.UseSwaggerUI(options => options.SwaggerEndpoint("/openapi/v1.json", "Agents
 app.UseExceptionHandler();
 
 // attach a2a with simple message communication
-app.MapA2A(agentName: "pirate", path: "/a2a/pirate");
-app.MapA2A(agentName: "knights-and-knaves", path: "/a2a/knights-and-knaves", agentCard: new()
+app.MapA2A(pirateAgentBuilder, path: "/a2a/pirate");
+app.MapA2A(knightsKnavesAgentBuilder, path: "/a2a/knights-and-knaves", agentCard: new()
 {
     Name = "Knights and Knaves",
     Description = "An agent that helps you solve the knights and knaves puzzle.",
@@ -105,15 +118,10 @@ app.MapA2A(agentName: "knights-and-knaves", path: "/a2a/knights-and-knaves", age
     // Url = "http://localhost:5390/a2a/knights-and-knaves"
 });
 
-app.MapOpenAIResponses("pirate");
-app.MapOpenAIResponses("knights-and-knaves");
+app.MapOpenAIResponses();
 
-app.MapOpenAIChatCompletions("pirate");
-app.MapOpenAIChatCompletions("knights-and-knaves");
-
-// workflow-agents
-app.MapOpenAIResponses("science-sequential-workflow");
-app.MapOpenAIResponses("science-concurrent-workflow");
+app.MapOpenAIChatCompletions(pirateAgentBuilder);
+app.MapOpenAIChatCompletions(knightsKnavesAgentBuilder);
 
 // Map the agents HTTP endpoints
 app.MapAgentDiscovery("/agents");

dotnet/samples/AgentWebChat/AgentWebChat.Web/A2AAgentClient.cs

@@ -58,7 +58,7 @@ internal sealed class A2AAgentClient : AgentClientBase
             if (a2aResponse is AgentMessage message)
             {
                 var responseMessage = message.ToChatMessage();
-                if (responseMessage is not null)
+                if (responseMessage is { Contents.Count: > 0 })
                 {
                     results.Add(new AgentRunResponseUpdate(responseMessage.Role, responseMessage.Contents)
                     {
@@ -78,11 +78,7 @@ internal sealed class A2AAgentClient : AgentClientBase
 
                         foreach (var part in artifact.Parts)
                         {
-                            var aiContent = ConvertPartToAIContent(part);
-                            if (aiContent != null)
-                            {
-                                (aiContents ??= []).Add(aiContent);
-                            }
+                            (aiContents ??= []).Add(part.ToAIContent());
                         }
 
                         if (aiContents is not null)
@@ -155,20 +151,6 @@ internal sealed class A2AAgentClient : AgentClientBase
             return (a2aClient, a2aCardResolver);
         });
 
-    private static AIContent? ConvertPartToAIContent(Part part) =>
-        part switch
-        {
-            TextPart textPart => new TextContent(textPart.Text)
-            {
-                RawRepresentation = textPart
-            },
-            FilePart filePart when filePart.File is FileWithUri fileWithUrl => new HostedFileContent(fileWithUrl.Uri)
-            {
-                RawRepresentation = filePart
-            },
-            _ => null
-        };
-
     private static AdditionalPropertiesDictionary? ConvertMetadataToAdditionalProperties(Dictionary<string, JsonElement>? metadata)
     {
         if (metadata is not { Count: > 0 })
@@ -184,22 +166,3 @@ internal sealed class A2AAgentClient : AgentClientBase
         return additionalProperties;
     }
 }
-
-// Extension method to convert multiple chat messages to A2A messages
-internal static class ChatMessageExtensions
-{
-    public static List<AgentMessage> ToA2AMessages(this IList<ChatMessage> chatMessages)
-    {
-        if (chatMessages is null || chatMessages.Count == 0)
-        {
-            return [];
-        }
-
-        var result = new List<AgentMessage>();
-        foreach (var chatMessage in chatMessages)
-        {
-            result.Add(chatMessage.ToA2AMessage());
-        }
-        return result;
-    }
-}

dotnet/samples/AgentWebChat/AgentWebChat.Web/OpenAIResponsesAgentClient.cs

@@ -23,11 +23,11 @@ internal sealed class OpenAIResponsesAgentClient(HttpClient httpClient) : AgentC
     {
         OpenAIClientOptions options = new()
         {
-            Endpoint = new Uri(httpClient.BaseAddress!, $"/{agentName}/v1/"),
+            Endpoint = new Uri(httpClient.BaseAddress!, "/v1/"),
             Transport = new HttpClientPipelineTransport(httpClient)
         };
 
-        var openAiClient = new OpenAIResponseClient(model: "myModel!", credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient();
+        var openAiClient = new OpenAIResponseClient(model: agentName, credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient();
         var chatOptions = new ChatOptions()
         {
             ConversationId = threadId

dotnet/samples/AzureFunctions/.editorconfig

@@ -0,0 +1,10 @@
+# .editorconfig
+[*.cs]
+
+# See https://github.com/Azure/azure-functions-durable-extension/issues/3173
+dotnet_diagnostic.DURABLE0001.severity = none
+dotnet_diagnostic.DURABLE0002.severity = none
+dotnet_diagnostic.DURABLE0003.severity = none
+dotnet_diagnostic.DURABLE0004.severity = none
+dotnet_diagnostic.DURABLE0005.severity = none
+dotnet_diagnostic.DURABLE0006.severity = none

dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj

@@ -0,0 +1,42 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFramework>net9.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs

@@ -0,0 +1,37 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using OpenAI;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Set up an AI agent following the standard Microsoft Agent Framework pattern.
+const string JokerName = "Joker";
+const string JokerInstructions = "You are good at telling jokes.";
+
+AIAgent agent = client.GetChatClient(deploymentName).CreateAIAgent(JokerInstructions, JokerName);
+
+// Configure the function app to host the AI agent.
+// This will automatically generate HTTP API endpoints for the agent.
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options => options.AddAIAgent(agent))
+    .Build();
+app.Run();

dotnet/samples/AzureFunctions/01_SingleAgent/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=@dafx-joker@your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "@dafx-joker@your-thread-id",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/01_SingleAgent/demo.http

@@ -0,0 +1,8 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Prompt the agent
+POST {{authority}}/api/agents/Joker/run
+Content-Type: text/plain
+
+Tell me a joke about a pirate.

dotnet/samples/AzureFunctions/01_SingleAgent/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/01_SingleAgent/local.settings.json

@@ -0,0 +1,10 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
+  }
+}

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj

@@ -0,0 +1,42 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFramework>net9.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>AgentOrchestration_Chaining</AssemblyName>
+    <RootNamespace>AgentOrchestration_Chaining</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/FunctionTriggers.cs

@@ -0,0 +1,92 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Net;
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+
+namespace AgentOrchestration_Chaining;
+
+public static class FunctionTriggers
+{
+    public sealed record TextResponse(string Text);
+
+    [Function(nameof(RunOrchestrationAsync))]
+    public static async Task<string> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
+    {
+        DurableAIAgent writer = context.GetAgent("WriterAgent");
+        AgentThread writerThread = writer.GetNewThread();
+
+        AgentRunResponse<TextResponse> initial = await writer.RunAsync<TextResponse>(
+            message: "Write a concise inspirational sentence about learning.",
+            thread: writerThread);
+
+        AgentRunResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
+            message: $"Improve this further while keeping it under 25 words: {initial.Result.Text}",
+            thread: writerThread);
+
+        return refined.Result.Text;
+    }
+
+    // POST /singleagent/run
+    [Function(nameof(StartOrchestrationAsync))]
+    public static async Task<HttpResponseData> StartOrchestrationAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "singleagent/run")] HttpRequestData req,
+        [DurableClient] DurableTaskClient client)
+    {
+        string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
+            orchestratorName: nameof(RunOrchestrationAsync));
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
+        await response.WriteAsJsonAsync(new
+        {
+            message = "Single-agent orchestration started.",
+            instanceId,
+            statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
+        });
+        return response;
+    }
+
+    // GET /singleagent/status/{instanceId}
+    [Function(nameof(GetOrchestrationStatusAsync))]
+    public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "singleagent/status/{instanceId}")] HttpRequestData req,
+        string instanceId,
+        [DurableClient] DurableTaskClient client)
+    {
+        OrchestrationMetadata? status = await client.GetInstanceAsync(
+            instanceId,
+            getInputsAndOutputs: true,
+            req.FunctionContext.CancellationToken);
+
+        if (status is null)
+        {
+            HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
+            await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
+            return notFound;
+        }
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
+        await response.WriteAsJsonAsync(new
+        {
+            instanceId = status.InstanceId,
+            runtimeStatus = status.RuntimeStatus.ToString(),
+            input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
+            output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
+            failureDetails = status.FailureDetails
+        });
+        return response;
+    }
+
+    private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
+    {
+        // NOTE: This can be made more robust by considering the value of
+        //       request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
+        string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
+        return $"{authority}/api/singleagent/status/{instanceId}";
+    }
+}

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs

@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using OpenAI;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Single agent used by the orchestration to demonstrate sequential calls on the same thread.
+const string WriterName = "WriterAgent";
+const string WriterInstructions =
+    """
+    You refine short pieces of text. When given an initial sentence you enhance it;
+    when given an improved sentence you polish it further.
+    """;
+
+AIAgent writerAgent = client.GetChatClient(deploymentName).CreateAIAgent(WriterInstructions, WriterName);
+
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options => options.AddAIAgent(writerAgent))
+    .Build();
+
+app.Run();

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/README.md

@@ -0,0 +1,59 @@
+# Single Agent Orchestration Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that orchestrates sequential calls to a single AI agent using the same conversation thread for context continuity.
+
+## Key Concepts Demonstrated
+
+- Orchestrating multiple interactions with the same agent in a deterministic order
+- Using the same `AgentThread` across multiple calls to maintain conversational context
+- Durable orchestration with automatic checkpointing and resumption from failures
+- HTTP API integration for starting and monitoring orchestrations
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to start the orchestration.
+
+You can use the `demo.http` file to start the orchestration, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/singleagent/run
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post -Uri http://localhost:7071/api/singleagent/run
+```
+
+The response will be a JSON object that looks something like the following, which indicates that the orchestration has started.
+
+```json
+{
+  "message": "Single-agent orchestration started.",
+  "instanceId": "86313f1d45fb42eeb50b1852626bf3ff",
+  "statusQueryGetUri": "http://localhost:7071/api/singleagent/status/86313f1d45fb42eeb50b1852626bf3ff"
+}
+```
+
+The orchestration will proceed to run the WriterAgent twice in sequence:
+
+1. First, it writes an inspirational sentence about learning
+2. Then, it refines the initial output using the same conversation thread
+
+Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following:
+
+```json
+{
+    "failureDetails": null,
+    "input": null,
+    "instanceId": "86313f1d45fb42eeb50b1852626bf3ff",
+    "output": "Learning serves as the key, opening doors to boundless opportunities and a brighter future.",
+    "runtimeStatus": "Completed"
+}
+```

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/demo.http

@@ -0,0 +1,3 @@
+### Start the single-agent orchestration
+POST http://localhost:7071/api/singleagent/run
+

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/local.settings.json

@@ -0,0 +1,10 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
+  }
+}

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj

@@ -0,0 +1,42 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFramework>net9.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>AgentOrchestration_Concurrency</AssemblyName>
+    <RootNamespace>AgentOrchestration_Concurrency</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/FunctionTriggers.cs

@@ -0,0 +1,116 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Net;
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+
+namespace AgentOrchestration_Concurrency;
+
+public static class FunctionsTriggers
+{
+    public sealed record TextResponse(string Text);
+
+    [Function(nameof(RunOrchestrationAsync))]
+    public static async Task<object> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
+    {
+        // Get the prompt from the orchestration input
+        string prompt = context.GetInput<string>() ?? throw new InvalidOperationException("Prompt is required");
+
+        // Get both agents
+        DurableAIAgent physicist = context.GetAgent("PhysicistAgent");
+        DurableAIAgent chemist = context.GetAgent("ChemistAgent");
+
+        // Start both agent runs concurrently
+        Task<AgentRunResponse<TextResponse>> physicistTask = physicist.RunAsync<TextResponse>(prompt);
+
+        Task<AgentRunResponse<TextResponse>> chemistTask = chemist.RunAsync<TextResponse>(prompt);
+
+        // Wait for both tasks to complete using Task.WhenAll
+        await Task.WhenAll(physicistTask, chemistTask);
+
+        // Get the results
+        TextResponse physicistResponse = (await physicistTask).Result;
+        TextResponse chemistResponse = (await chemistTask).Result;
+
+        // Return the result as a structured, anonymous type
+        return new
+        {
+            physicist = physicistResponse.Text,
+            chemist = chemistResponse.Text,
+        };
+    }
+
+    // POST /multiagent/run
+    [Function(nameof(StartOrchestrationAsync))]
+    public static async Task<HttpResponseData> StartOrchestrationAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "multiagent/run")] HttpRequestData req,
+        [DurableClient] DurableTaskClient client)
+    {
+        // Read the prompt from the request body
+        string? prompt = await req.ReadAsStringAsync();
+        if (string.IsNullOrWhiteSpace(prompt))
+        {
+            HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+            await badRequestResponse.WriteAsJsonAsync(new { error = "Prompt is required" });
+            return badRequestResponse;
+        }
+
+        string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
+            orchestratorName: nameof(RunOrchestrationAsync),
+            input: prompt);
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
+        await response.WriteAsJsonAsync(new
+        {
+            message = "Multi-agent concurrent orchestration started.",
+            prompt,
+            instanceId,
+            statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
+        });
+        return response;
+    }
+
+    // GET /multiagent/status/{instanceId}
+    [Function(nameof(GetOrchestrationStatusAsync))]
+    public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "multiagent/status/{instanceId}")] HttpRequestData req,
+        string instanceId,
+        [DurableClient] DurableTaskClient client)
+    {
+        OrchestrationMetadata? status = await client.GetInstanceAsync(
+            instanceId,
+            getInputsAndOutputs: true,
+            req.FunctionContext.CancellationToken);
+
+        if (status is null)
+        {
+            HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
+            await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
+            return notFound;
+        }
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
+        await response.WriteAsJsonAsync(new
+        {
+            instanceId = status.InstanceId,
+            runtimeStatus = status.RuntimeStatus.ToString(),
+            input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
+            output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
+            failureDetails = status.FailureDetails
+        });
+        return response;
+    }
+
+    private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
+    {
+        // NOTE: This can be made more robust by considering the value of
+        //       request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
+        string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
+        return $"{authority}/api/multiagent/status/{instanceId}";
+    }
+}

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs

@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using OpenAI;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Two agents used by the orchestration to demonstrate concurrent execution.
+const string PhysicistName = "PhysicistAgent";
+const string PhysicistInstructions = "You are an expert in physics. You answer questions from a physics perspective.";
+
+const string ChemistName = "ChemistAgent";
+const string ChemistInstructions = "You are an expert in chemistry. You answer questions from a chemistry perspective.";
+
+AIAgent physicistAgent = client.GetChatClient(deploymentName).CreateAIAgent(PhysicistInstructions, PhysicistName);
+AIAgent chemistAgent = client.GetChatClient(deploymentName).CreateAIAgent(ChemistInstructions, ChemistName);
+
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options =>
+    {
+        options.AddAIAgent(physicistAgent);
+        options.AddAIAgent(chemistAgent);
+    })
+    .Build();
+
+app.Run();

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/README.md

@@ -0,0 +1,65 @@
+# Multi-Agent Concurrent Orchestration Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create an Azure Functions app that orchestrates concurrent execution of multiple AI agents, each with specialized expertise, to provide comprehensive answers to complex questions.
+
+## Key Concepts Demonstrated
+
+- Multi-agent orchestration with specialized AI agents (physics and chemistry)
+- Concurrent execution using the fan-out/fan-in pattern for improved performance and distributed processing
+- Response aggregation from multiple agents into a unified result
+- Durable orchestration with automatic checkpointing and resumption from failures
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request with a custom prompt to the orchestration.
+
+You can use the `demo.http` file to send a message to the agents, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/multiagent/run \
+    -H "Content-Type: text/plain" \
+    -d "What is temperature?"
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/multiagent/run `
+    -ContentType text/plain `
+    -Body "What is temperature?"
+```
+
+The response will be a JSON object that looks something like the following, which indicates that the orchestration has started.
+
+```json
+{
+  "message": "Multi-agent concurrent orchestration started.",
+  "prompt": "What is temperature?",
+  "instanceId": "e7e29999b6b8424682b3539292afc9ed",
+  "statusQueryGetUri": "http://localhost:7071/api/multiagent/status/e7e29999b6b8424682b3539292afc9ed"
+}
+```
+
+The orchestration will run both the PhysicistAgent and ChemistAgent concurrently, asking them the same question. Their responses will be combined to provide a comprehensive answer covering both physical and chemical aspects.
+
+Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following:
+
+```json
+{
+  "failureDetails": null,
+  "input": "What is temperature?",
+  "instanceId": "e7e29999b6b8424682b3539292afc9ed",
+  "output": {
+    "physicist": "Temperature is a measure of the average kinetic energy of particles in a system. From a physics perspective, it represents the thermal energy and determines the direction of heat flow between objects.",
+    "chemist": "From a chemistry perspective, temperature is crucial for chemical reactions as it affects reaction rates through the Arrhenius equation. It influences the equilibrium position of reversible reactions and determines the physical state of substances."
+  },
+  "runtimeStatus": "Completed"
+}
+```

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/demo.http

@@ -0,0 +1,5 @@
+### Start the multi-agent concurrent orchestration
+POST http://localhost:7071/api/multiagent/run
+Content-Type: text/plain
+
+What is temperature?

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/local.settings.json

@@ -0,0 +1,10 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
+  }
+}

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj

@@ -0,0 +1,42 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFramework>net9.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>AgentOrchestration_Conditionals</AssemblyName>
+    <RootNamespace>AgentOrchestration_Conditionals</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/FunctionTriggers.cs

@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Net;
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+
+namespace AgentOrchestration_Conditionals;
+
+public static class FunctionTriggers
+{
+    [Function(nameof(RunOrchestrationAsync))]
+    public static async Task<string> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
+    {
+        // Get the email from the orchestration input
+        Email email = context.GetInput<Email>() ?? throw new InvalidOperationException("Email is required");
+
+        // Get the spam detection agent
+        DurableAIAgent spamDetectionAgent = context.GetAgent("SpamDetectionAgent");
+        AgentThread spamThread = spamDetectionAgent.GetNewThread();
+
+        // Step 1: Check if the email is spam
+        AgentRunResponse<DetectionResult> spamDetectionResponse = await spamDetectionAgent.RunAsync<DetectionResult>(
+            message:
+                $"""
+                Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) and 'reason' (string) fields:
+                Email ID: {email.EmailId}
+                Content: {email.EmailContent}
+                """,
+            thread: spamThread);
+        DetectionResult result = spamDetectionResponse.Result;
+
+        // Step 2: Conditional logic based on spam detection result
+        if (result.IsSpam)
+        {
+            // Handle spam email
+            return await context.CallActivityAsync<string>(nameof(HandleSpamEmail), result.Reason);
+        }
+
+        // Generate and send response for legitimate email
+        DurableAIAgent emailAssistantAgent = context.GetAgent("EmailAssistantAgent");
+        AgentThread emailThread = emailAssistantAgent.GetNewThread();
+
+        AgentRunResponse<EmailResponse> emailAssistantResponse = await emailAssistantAgent.RunAsync<EmailResponse>(
+            message:
+                $"""
+                    Draft a professional response to this email. Return a JSON response with a 'response' field containing the reply:
+                    
+                    Email ID: {email.EmailId}
+                    Content: {email.EmailContent}
+                    """,
+            thread: emailThread);
+
+        EmailResponse emailResponse = emailAssistantResponse.Result;
+
+        return await context.CallActivityAsync<string>(nameof(SendEmail), emailResponse.Response);
+    }
+
+    [Function(nameof(HandleSpamEmail))]
+    public static string HandleSpamEmail([ActivityTrigger] string reason)
+    {
+        return $"Email marked as spam: {reason}";
+    }
+
+    [Function(nameof(SendEmail))]
+    public static string SendEmail([ActivityTrigger] string message)
+    {
+        return $"Email sent: {message}";
+    }
+
+    // POST /spamdetection/run
+    [Function(nameof(StartOrchestrationAsync))]
+    public static async Task<HttpResponseData> StartOrchestrationAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "spamdetection/run")] HttpRequestData req,
+        [DurableClient] DurableTaskClient client)
+    {
+        // Read the email from the request body
+        Email? email = await req.ReadFromJsonAsync<Email>();
+        if (email is null || string.IsNullOrWhiteSpace(email.EmailContent))
+        {
+            HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+            await badRequestResponse.WriteAsJsonAsync(new { error = "Email with content is required" });
+            return badRequestResponse;
+        }
+
+        string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
+            orchestratorName: nameof(RunOrchestrationAsync),
+            input: email);
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
+        await response.WriteAsJsonAsync(new
+        {
+            message = "Spam detection orchestration started.",
+            emailId = email.EmailId,
+            instanceId,
+            statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
+        });
+        return response;
+    }
+
+    // GET /spamdetection/status/{instanceId}
+    [Function(nameof(GetOrchestrationStatusAsync))]
+    public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "spamdetection/status/{instanceId}")] HttpRequestData req,
+        string instanceId,
+        [DurableClient] DurableTaskClient client)
+    {
+        OrchestrationMetadata? status = await client.GetInstanceAsync(
+            instanceId,
+            getInputsAndOutputs: true,
+            req.FunctionContext.CancellationToken);
+
+        if (status is null)
+        {
+            HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
+            await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
+            return notFound;
+        }
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
+        await response.WriteAsJsonAsync(new
+        {
+            instanceId = status.InstanceId,
+            runtimeStatus = status.RuntimeStatus.ToString(),
+            input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
+            output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
+            failureDetails = status.FailureDetails
+        });
+        return response;
+    }
+
+    private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
+    {
+        // NOTE: This can be made more robust by considering the value of
+        //       request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
+        string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
+        return $"{authority}/api/spamdetection/status/{instanceId}";
+    }
+}

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Models.cs

@@ -0,0 +1,38 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AgentOrchestration_Conditionals;
+
+/// <summary>
+/// Represents an email input for spam detection and response generation.
+/// </summary>
+public sealed class Email
+{
+    [JsonPropertyName("email_id")]
+    public string EmailId { get; set; } = string.Empty;
+
+    [JsonPropertyName("email_content")]
+    public string EmailContent { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents the result of spam detection analysis.
+/// </summary>
+public sealed class DetectionResult
+{
+    [JsonPropertyName("is_spam")]
+    public bool IsSpam { get; set; }
+
+    [JsonPropertyName("reason")]
+    public string Reason { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents a generated email response.
+/// </summary>
+public sealed class EmailResponse
+{
+    [JsonPropertyName("response")]
+    public string Response { get; set; } = string.Empty;
+}

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs

@@ -0,0 +1,47 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using OpenAI;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Two agents used by the orchestration to demonstrate conditional logic.
+const string SpamDetectionName = "SpamDetectionAgent";
+const string SpamDetectionInstructions = "You are a spam detection assistant that identifies spam emails.";
+
+const string EmailAssistantName = "EmailAssistantAgent";
+const string EmailAssistantInstructions = "You are an email assistant that helps users draft responses to emails with professionalism.";
+
+AIAgent spamDetectionAgent = client.GetChatClient(deploymentName)
+    .CreateAIAgent(SpamDetectionInstructions, SpamDetectionName);
+
+AIAgent emailAssistantAgent = client.GetChatClient(deploymentName)
+    .CreateAIAgent(EmailAssistantInstructions, EmailAssistantName);
+
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options =>
+    {
+        options.AddAIAgent(spamDetectionAgent);
+        options.AddAIAgent(emailAssistantAgent);
+    })
+    .Build();
+
+app.Run();

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/README.md

@@ -0,0 +1,113 @@
+# Multi-Agent Orchestration with Conditionals Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a multi-agent orchestration workflow that includes conditional logic. The workflow implements a spam detection system that processes emails and takes different actions based on whether the email is identified as spam or legitimate.
+
+## Key Concepts Demonstrated
+
+- Multi-agent orchestration with conditional logic and different processing paths
+- Spam detection using AI agent analysis
+- Structured output from agents for reliable processing
+- Activity functions for integrating non-agentic workflow actions
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request with email data to the orchestration.
+
+You can use the `demo.http` file to send email data to the agents, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+# Test with a legitimate email
+curl -X POST http://localhost:7071/api/spamdetection/run \
+    -H "Content-Type: application/json" \
+    -d '{
+      "email_id": "email-001",
+      "email_content": "Hi John, I hope you are doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!"
+    }'
+
+# Test with a spam email
+curl -X POST http://localhost:7071/api/spamdetection/run \
+    -H "Content-Type: application/json" \
+    -d '{
+      "email_id": "email-002",
+      "email_content": "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!"
+    }'
+```
+
+PowerShell:
+
+```powershell
+# Test with a legitimate email
+$body = @{
+    email_id = "email-001"
+    email_content = "Hi John, I hope you are doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!"
+} | ConvertTo-Json
+
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/spamdetection/run `
+    -ContentType application/json `
+    -Body $body
+
+# Test with a spam email
+$body = @{
+    email_id = "email-002"
+    email_content = "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!"
+} | ConvertTo-Json
+
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/spamdetection/run `
+    -ContentType application/json `
+    -Body $body
+```
+
+The response from either input will be a JSON object that looks something like the following, which indicates that the orchestration has started.
+
+```json
+{
+  "message": "Spam detection orchestration started.",
+  "emailId": "email-001",
+  "instanceId": "555dbbb63f75406db2edf9f1f092de95",
+  "statusQueryGetUri": "http://localhost:7071/api/spamdetection/status/555dbbb63f75406db2edf9f1f092de95"
+}
+```
+
+The orchestration will:
+
+1. Analyze the email content using the SpamDetectionAgent
+2. If spam: Mark the email as spam with a reason
+3. If legitimate: Use the EmailAssistantAgent to draft a professional response and "send" it
+
+Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response for the legitimate email will be a JSON object that looks something like the following:
+
+```json
+{
+  "failureDetails": null,
+  "input": {
+    "email_content": "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!",
+    "email_id": "email-001"
+  },
+  "instanceId": "555dbbb63f75406db2edf9f1f092de95",
+  "output": "Email sent: Subject: Re: Follow-Up on Quarterly Report\n\nHi [Recipient's Name],\n\nI hope this message finds you well. Thank you for your patience. I will ensure the updated figures for the quarterly report are sent to you by Friday.\n\nIf you have any further questions or need additional information, please feel free to reach out.\n\nBest regards,\n\nJohn",
+  "runtimeStatus": "Completed"
+}
+```
+
+The response for the spam email will be a JSON object that looks something like the following, which indicates that the email was marked as spam:
+
+```json
+{
+  "failureDetails": null,
+  "input": {
+    "email_content": "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!",
+    "email_id": "email-002"
+  },
+  "instanceId": "555dbbb63f75406db2edf9f1f092de95",
+  "output": "Email marked as spam: The email contains misleading claims of winning a large sum of money and encourages immediate action, which are common characteristics of spam.",
+  "runtimeStatus": "Completed"
+}
+```

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/demo.http

@@ -0,0 +1,18 @@
+### Test spam detection with a legitimate email
+POST http://localhost:7071/api/spamdetection/run
+Content-Type: application/json
+
+{
+  "email_id": "email-001",
+  "email_content": "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!"
+}
+
+
+### Test spam detection with a spam email
+POST http://localhost:7071/api/spamdetection/run
+Content-Type: application/json
+
+{
+  "email_id": "email-002", 
+  "email_content": "URGENT! You've won $1,000,000! Click here now to claim your prize! Limited time offer! Don't miss out!"
+}

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/local.settings.json

@@ -0,0 +1,10 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
+  }
+}

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj

@@ -0,0 +1,43 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFramework>net9.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>AgentOrchestration_HITL</AssemblyName>
+    <RootNamespace>AgentOrchestration_HITL</RootNamespace>
+    <NoWarn>$(NoWarn);DURABLE0001;DURABLE0002;DURABLE0003;DURABLE0004;DURABLE0005;DURABLE0006</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/FunctionTriggers.cs

@@ -0,0 +1,229 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Net;
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+using Microsoft.Extensions.Logging;
+
+namespace AgentOrchestration_HITL;
+
+public static class FunctionTriggers
+{
+    [Function(nameof(RunOrchestrationAsync))]
+    public static async Task<object> RunOrchestrationAsync(
+        [OrchestrationTrigger] TaskOrchestrationContext context)
+    {
+        // Get the input from the orchestration
+        ContentGenerationInput input = context.GetInput<ContentGenerationInput>()
+            ?? throw new InvalidOperationException("Content generation input is required");
+
+        // Get the writer agent
+        DurableAIAgent writerAgent = context.GetAgent("WriterAgent");
+        AgentThread writerThread = writerAgent.GetNewThread();
+
+        // Set initial status
+        context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
+
+        // Step 1: Generate initial content
+        AgentRunResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+            message: $"Write a short article about '{input.Topic}'.",
+            thread: writerThread);
+        GeneratedContent content = writerResponse.Result;
+
+        // Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
+        int iterationCount = 0;
+        while (iterationCount++ < input.MaxReviewAttempts)
+        {
+            context.SetCustomStatus(
+                $"Requesting human feedback. Iteration #{iterationCount}. Timeout: {input.ApprovalTimeoutHours} hour(s).");
+
+            // Step 2: Notify user to review the content
+            await context.CallActivityAsync(nameof(NotifyUserForApproval), content);
+
+            // Step 3: Wait for human feedback with configurable timeout
+            HumanApprovalResponse humanResponse;
+            try
+            {
+                humanResponse = await context.WaitForExternalEvent<HumanApprovalResponse>(
+                    eventName: "HumanApproval",
+                    timeout: TimeSpan.FromHours(input.ApprovalTimeoutHours));
+            }
+            catch (OperationCanceledException)
+            {
+                // Timeout occurred - treat as rejection
+                context.SetCustomStatus(
+                    $"Human approval timed out after {input.ApprovalTimeoutHours} hour(s). Treating as rejection.");
+                throw new TimeoutException($"Human approval timed out after {input.ApprovalTimeoutHours} hour(s).");
+            }
+
+            if (humanResponse.Approved)
+            {
+                context.SetCustomStatus("Content approved by human reviewer. Publishing content...");
+
+                // Step 4: Publish the approved content
+                await context.CallActivityAsync(nameof(PublishContent), content);
+
+                context.SetCustomStatus($"Content published successfully at {context.CurrentUtcDateTime:s}");
+                return new { content = content.Content };
+            }
+
+            context.SetCustomStatus("Content rejected by human reviewer. Incorporating feedback and regenerating...");
+
+            // Incorporate human feedback and regenerate
+            writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+                message: $"""
+                    The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback.
+                    
+                    Human Feedback: {humanResponse.Feedback}
+                    """,
+                thread: writerThread);
+
+            content = writerResponse.Result;
+        }
+
+        // If we reach here, it means we exhausted the maximum number of iterations
+        throw new InvalidOperationException(
+            $"Content could not be approved after {input.MaxReviewAttempts} iterations.");
+    }
+
+    // POST /hitl/run
+    [Function(nameof(StartOrchestrationAsync))]
+    public static async Task<HttpResponseData> StartOrchestrationAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "hitl/run")] HttpRequestData req,
+        [DurableClient] DurableTaskClient client)
+    {
+        // Read the input from the request body
+        ContentGenerationInput? input = await req.ReadFromJsonAsync<ContentGenerationInput>();
+        if (input is null || string.IsNullOrWhiteSpace(input.Topic))
+        {
+            HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+            await badRequestResponse.WriteAsJsonAsync(new { error = "Topic is required" });
+            return badRequestResponse;
+        }
+
+        string instanceId = await client.ScheduleNewOrchestrationInstanceAsync(
+            orchestratorName: nameof(RunOrchestrationAsync),
+            input: input);
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted);
+        await response.WriteAsJsonAsync(new
+        {
+            message = "HITL content generation orchestration started.",
+            topic = input.Topic,
+            instanceId,
+            statusQueryGetUri = GetStatusQueryGetUri(req, instanceId),
+        });
+        return response;
+    }
+
+    // POST /hitl/approve/{instanceId}
+    [Function(nameof(SendHumanApprovalAsync))]
+    public static async Task<HttpResponseData> SendHumanApprovalAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "hitl/approve/{instanceId}")] HttpRequestData req,
+        string instanceId,
+        [DurableClient] DurableTaskClient client)
+    {
+        // Read the approval response from the request body
+        HumanApprovalResponse? approvalResponse = await req.ReadFromJsonAsync<HumanApprovalResponse>();
+        if (approvalResponse is null)
+        {
+            HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+            await badRequestResponse.WriteAsJsonAsync(new { error = "Approval response is required" });
+            return badRequestResponse;
+        }
+
+        // Send the approval event to the orchestration
+        await client.RaiseEventAsync(instanceId, "HumanApproval", approvalResponse);
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
+        await response.WriteAsJsonAsync(new
+        {
+            message = "Human approval sent to orchestration.",
+            instanceId,
+            approved = approvalResponse.Approved
+        });
+        return response;
+    }
+
+    // GET /hitl/status/{instanceId}
+    [Function(nameof(GetOrchestrationStatusAsync))]
+    public static async Task<HttpResponseData> GetOrchestrationStatusAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "hitl/status/{instanceId}")] HttpRequestData req,
+        string instanceId,
+        [DurableClient] DurableTaskClient client)
+    {
+        OrchestrationMetadata? status = await client.GetInstanceAsync(
+            instanceId,
+            getInputsAndOutputs: true,
+            req.FunctionContext.CancellationToken);
+
+        if (status is null)
+        {
+            HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound);
+            await notFound.WriteAsJsonAsync(new { error = "Instance not found" });
+            return notFound;
+        }
+
+        HttpResponseData response = req.CreateResponse(HttpStatusCode.OK);
+        await response.WriteAsJsonAsync(new
+        {
+            instanceId = status.InstanceId,
+            runtimeStatus = status.RuntimeStatus.ToString(),
+            workflowStatus = status.SerializedCustomStatus is not null ? (object)status.ReadCustomStatusAs<JsonElement>() : null,
+            input = status.SerializedInput is not null ? (object)status.ReadInputAs<JsonElement>() : null,
+            output = status.SerializedOutput is not null ? (object)status.ReadOutputAs<JsonElement>() : null,
+            failureDetails = status.FailureDetails
+        });
+        return response;
+    }
+
+    [Function(nameof(NotifyUserForApproval))]
+    public static void NotifyUserForApproval(
+        [ActivityTrigger] GeneratedContent content,
+        FunctionContext functionContext)
+    {
+        ILogger logger = functionContext.GetLogger(nameof(NotifyUserForApproval));
+
+        // In a real implementation, this would send notifications via email, SMS, etc.
+        logger.LogInformation(
+            """
+            NOTIFICATION: Please review the following content for approval:
+            Title: {Title}
+            Content: {Content}
+            Use the approval endpoint to approve or reject this content.
+            """,
+            content.Title,
+            content.Content);
+    }
+
+    [Function(nameof(PublishContent))]
+    public static void PublishContent(
+        [ActivityTrigger] GeneratedContent content,
+        FunctionContext functionContext)
+    {
+        ILogger logger = functionContext.GetLogger(nameof(PublishContent));
+
+        // In a real implementation, this would publish to a CMS, website, etc.
+        logger.LogInformation(
+            """
+            PUBLISHING: Content has been published successfully.
+            Title: {Title}
+            Content: {Content}
+            """,
+            content.Title,
+            content.Content);
+    }
+
+    private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId)
+    {
+        // NOTE: This can be made more robust by considering the value of
+        //       request headers like "X-Forwarded-Host" and "X-Forwarded-Proto".
+        string authority = $"{req.Url.Scheme}://{req.Url.Authority}";
+        return $"{authority}/api/hitl/status/{instanceId}";
+    }
+}

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Models.cs

@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AgentOrchestration_HITL;
+
+/// <summary>
+/// Represents the input for the Human-in-the-Loop content generation workflow.
+/// </summary>
+public sealed class ContentGenerationInput
+{
+    [JsonPropertyName("topic")]
+    public string Topic { get; set; } = string.Empty;
+
+    [JsonPropertyName("max_review_attempts")]
+    public int MaxReviewAttempts { get; set; } = 3;
+
+    [JsonPropertyName("approval_timeout_hours")]
+    public float ApprovalTimeoutHours { get; set; } = 72;
+}
+
+/// <summary>
+/// Represents the content generated by the writer agent.
+/// </summary>
+public sealed class GeneratedContent
+{
+    [JsonPropertyName("title")]
+    public string Title { get; set; } = string.Empty;
+
+    [JsonPropertyName("content")]
+    public string Content { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents the human approval response.
+/// </summary>
+public sealed class HumanApprovalResponse
+{
+    [JsonPropertyName("approved")]
+    public bool Approved { get; set; }
+
+    [JsonPropertyName("feedback")]
+    public string Feedback { get; set; } = string.Empty;
+}

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs

@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using OpenAI;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Single agent used by the orchestration to demonstrate human-in-the-loop workflow.
+const string WriterName = "WriterAgent";
+const string WriterInstructions =
+    """
+    You are a professional content writer who creates high-quality articles on various topics.
+    You write engaging, informative, and well-structured content that follows best practices for readability and accuracy.
+    """;
+
+AIAgent writerAgent = client.GetChatClient(deploymentName).CreateAIAgent(WriterInstructions, WriterName);
+
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options => options.AddAIAgent(writerAgent))
+    .Build();
+
+app.Run();

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/README.md

@@ -0,0 +1,126 @@
+# Multi-Agent Orchestration with Human-in-the-Loop Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a human-in-the-loop (HITL) workflow using a single AI agent. The workflow uses a writer agent to generate content and requires human approval on every iteration, emphasizing the human-in-the-loop pattern.
+
+## Key Concepts Demonstrated
+
+- Single-agent orchestration
+- Human-in-the-loop feedback loop using external events (`WaitForExternalEvent`)
+- Activity functions for non-agentic workflow steps
+- Iterative content refinement based on human feedback
+- Custom status tracking for workflow visibility
+- Error handling with maximum retry attempts and timeout handling for human approval
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request with a topic to start the content generation workflow.
+
+You can use the `demo.http` file to send a topic to the agents, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/hitl/run \
+    -H "Content-Type: application/json" \
+    -d '{
+      "topic": "The Future of Artificial Intelligence",
+      "max_review_attempts": 3,
+      "timeout_minutes": 5
+    }'
+```
+
+PowerShell:
+
+```powershell
+$body = @{
+    topic = "The Future of Artificial Intelligence"
+    max_review_attempts = 3
+    timeout_minutes = 5
+} | ConvertTo-Json
+
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/hitl/run `
+    -ContentType application/json `
+    -Body $body
+```
+
+The response will be a JSON object that looks something like the following, which indicates that the orchestration has started.
+
+```json
+{
+  "message": "HITL content generation orchestration started.",
+  "topic": "The Future of Artificial Intelligence",
+  "instanceId": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6",
+  "statusQueryGetUri": "http://localhost:7071/api/hitl/status/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6"
+}
+```
+
+The orchestration will:
+
+1. Generate initial content using the WriterAgent
+2. Notify the user to review the content
+3. Wait for human feedback via external event (configurable timeout)
+4. If approved by human, publish the content
+5. If rejected by human, incorporate feedback and regenerate content
+6. If approval timeout occurs, treat as rejection and fail the orchestration
+7. Repeat until human approval is received or maximum loop iterations are reached
+
+Once the orchestration is waiting for human approval, you can send approval or rejection using the approval endpoint:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+# Approve the content
+curl -X POST http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 \
+    -H "Content-Type: application/json" \
+    -d '{
+      "approved": true,
+      "feedback": "Great article! The content is well-structured and informative."
+    }'
+
+# Reject the content with feedback
+curl -X POST http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 \
+    -H "Content-Type: application/json" \
+    -d '{
+      "approved": false,
+      "feedback": "The article needs more technical depth and better examples."
+    }'
+```
+
+PowerShell:
+
+```powershell
+# Approve the content
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 `
+    -ContentType application/json `
+    -Body '{ "approved": true, "feedback": "Great article! The content is well-structured and informative." }'
+
+# Reject the content with feedback
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 `
+    -ContentType application/json `
+    -Body '{ "approved": false, "feedback": "The article needs more technical depth and better examples." }'
+```
+
+Once the orchestration has completed, you can get the status by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following:
+
+```json
+{
+  "failureDetails": null,
+  "input": {
+    "topic": "The Future of Artificial Intelligence",
+    "max_review_attempts": 3
+  },
+  "instanceId": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6",
+  "output": {
+    "content": "The Future of Artificial Intelligence is..."
+  },
+  "runtimeStatus": "Completed",
+  "workflowStatus": "Content published successfully at 2025-10-15T12:00:00Z"
+}
+```

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/demo.http

@@ -0,0 +1,44 @@
+### Start the HITL content generation orchestration with default timeout (30 days)
+POST http://localhost:7071/api/hitl/run
+Content-Type: application/json
+
+{
+  "topic": "The Future of Artificial Intelligence",
+  "max_review_attempts": 3
+}
+
+
+### Start the HITL content generation orchestration with very short timeout for demonstration (~4 seconds)
+POST http://localhost:7071/api/hitl/run
+Content-Type: application/json
+
+{
+  "topic": "The Future of Artificial Intelligence",
+  "max_review_attempts": 3,
+  "approval_timeout_hours": 0.001
+}
+
+
+### Copy/paste the instanceId from the response above
+@instanceId=INSTANCE_ID_GOES_HERE
+
+### Check the status of the orchestration (replace {instanceId} with the actual instance ID from the response above)
+GET http://localhost:7071/api/hitl/status/{{instanceId}}
+
+### Send human approval (replace {instanceId} with the actual instance ID)
+POST http://localhost:7071/api/hitl/approve/{{instanceId}}
+Content-Type: application/json
+
+{
+  "approved": true,
+  "feedback": "Great article! The content is well-structured and informative."
+}
+
+### Send human rejection with feedback (replace {instanceId} with the actual instance ID)
+POST http://localhost:7071/api/hitl/approve/{{instanceId}}
+Content-Type: application/json
+
+{
+  "approved": false,
+  "feedback": "The article needs more technical depth and better examples. Please add more specific use cases and implementation details."
+}

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/local.settings.json

@@ -0,0 +1,10 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
+  }
+}

dotnet/samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj

@@ -0,0 +1,42 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFramework>net9.0</TargetFramework>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>LongRunningTools</AssemblyName>
+    <RootNamespace>LongRunningTools</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/06_LongRunningTools/FunctionTriggers.cs

@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.DurableTask;
+using Microsoft.Extensions.Logging;
+
+namespace LongRunningTools;
+
+public static class FunctionTriggers
+{
+    [Function(nameof(RunOrchestrationAsync))]
+    public static async Task<object> RunOrchestrationAsync(
+        [OrchestrationTrigger] TaskOrchestrationContext context)
+    {
+        // Get the input from the orchestration
+        ContentGenerationInput input = context.GetInput<ContentGenerationInput>()
+            ?? throw new InvalidOperationException("Content generation input is required");
+
+        // Get the writer agent
+        DurableAIAgent writerAgent = context.GetAgent("Writer");
+        AgentThread writerThread = writerAgent.GetNewThread();
+
+        // Set initial status
+        context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
+
+        // Step 1: Generate initial content
+        AgentRunResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+            message: $"Write a short article about '{input.Topic}'.",
+            thread: writerThread);
+        GeneratedContent content = writerResponse.Result;
+
+        // Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
+        int iterationCount = 0;
+        while (iterationCount++ < input.MaxReviewAttempts)
+        {
+            context.SetCustomStatus(
+                new
+                {
+                    message = "Requesting human feedback.",
+                    approvalTimeoutHours = input.ApprovalTimeoutHours,
+                    iterationCount,
+                    content
+                });
+
+            // Step 2: Notify user to review the content
+            await context.CallActivityAsync(nameof(NotifyUserForApproval), content);
+
+            // Step 3: Wait for human feedback with configurable timeout
+            HumanApprovalResponse humanResponse;
+            try
+            {
+                humanResponse = await context.WaitForExternalEvent<HumanApprovalResponse>(
+                    eventName: "HumanApproval",
+                    timeout: TimeSpan.FromHours(input.ApprovalTimeoutHours));
+            }
+            catch (OperationCanceledException)
+            {
+                // Timeout occurred - treat as rejection
+                context.SetCustomStatus(
+                    new
+                    {
+                        message = $"Human approval timed out after {input.ApprovalTimeoutHours} hour(s). Treating as rejection.",
+                        iterationCount,
+                        content
+                    });
+                throw new TimeoutException($"Human approval timed out after {input.ApprovalTimeoutHours} hour(s).");
+            }
+
+            if (humanResponse.Approved)
+            {
+                context.SetCustomStatus(new
+                {
+                    message = "Content approved by human reviewer. Publishing content...",
+                    content
+                });
+
+                // Step 4: Publish the approved content
+                await context.CallActivityAsync(nameof(PublishContent), content);
+
+                context.SetCustomStatus(new
+                {
+                    message = $"Content published successfully at {context.CurrentUtcDateTime:s}",
+                    humanFeedback = humanResponse,
+                    content
+                });
+                return new { content = content.Content };
+            }
+
+            context.SetCustomStatus(new
+            {
+                message = "Content rejected by human reviewer. Incorporating feedback and regenerating...",
+                humanFeedback = humanResponse,
+                content
+            });
+
+            // Incorporate human feedback and regenerate
+            writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+                message: $"""
+                    The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback.
+                    
+                    Human Feedback: {humanResponse.Feedback}
+                    """,
+                thread: writerThread);
+
+            content = writerResponse.Result;
+        }
+
+        // If we reach here, it means we exhausted the maximum number of iterations
+        throw new InvalidOperationException(
+            $"Content could not be approved after {input.MaxReviewAttempts} iterations.");
+    }
+
+    [Function(nameof(NotifyUserForApproval))]
+    public static void NotifyUserForApproval(
+        [ActivityTrigger] GeneratedContent content,
+        FunctionContext functionContext)
+    {
+        ILogger logger = functionContext.GetLogger(nameof(NotifyUserForApproval));
+
+        // In a real implementation, this would send notifications via email, SMS, etc.
+        logger.LogInformation(
+            """
+            NOTIFICATION: Please review the following content for approval:
+            Title: {Title}
+            Content: {Content}
+            Use the approval endpoint to approve or reject this content.
+            """,
+            content.Title,
+            content.Content);
+    }
+
+    [Function(nameof(PublishContent))]
+    public static void PublishContent(
+        [ActivityTrigger] GeneratedContent content,
+        FunctionContext functionContext)
+    {
+        ILogger logger = functionContext.GetLogger(nameof(PublishContent));
+
+        // In a real implementation, this would publish to a CMS, website, etc.
+        logger.LogInformation(
+            """
+            PUBLISHING: Content has been published successfully.
+            Title: {Title}
+            Content: {Content}
+            """,
+            content.Title,
+            content.Content);
+    }
+}

dotnet/samples/AzureFunctions/06_LongRunningTools/Models.cs

@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace LongRunningTools;
+
+/// <summary>
+/// Represents the input for the content generation workflow.
+/// </summary>
+public sealed class ContentGenerationInput
+{
+    [JsonPropertyName("topic")]
+    public string Topic { get; set; } = string.Empty;
+
+    [JsonPropertyName("max_review_attempts")]
+    public int MaxReviewAttempts { get; set; } = 3;
+
+    [JsonPropertyName("approval_timeout_hours")]
+    public float ApprovalTimeoutHours { get; set; } = 72;
+}
+
+/// <summary>
+/// Represents the content generated by the writer agent.
+/// </summary>
+public sealed class GeneratedContent
+{
+    [JsonPropertyName("title")]
+    public string Title { get; set; } = string.Empty;
+
+    [JsonPropertyName("content")]
+    public string Content { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents the human approval response.
+/// </summary>
+public sealed class HumanApprovalResponse
+{
+    [JsonPropertyName("approved")]
+    public bool Approved { get; set; }
+
+    [JsonPropertyName("feedback")]
+    public string Feedback { get; set; } = string.Empty;
+}