Add error handling to additional workflow samples with agents

Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com>

.github/labeler.yml

@@ -23,7 +23,7 @@ workflows:
   - any-glob-to-any-file:
     - dotnet/src/Microsoft.Agents.AI.Workflows/**
     - dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/**
-    - dotnet/samples/03-workflows/**
+    - dotnet/samples/GettingStarted/Workflow/**
     - python/packages/main/agent_framework/_workflow/**
     - python/samples/getting_started/workflow/**
 

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

@@ -7,13 +7,6 @@ name: dotnet-build-and-test
 
 on:
   workflow_dispatch:
-  workflow_call:
-    inputs:
-      checkout-ref:
-        description: "Git ref to checkout (e.g., a commit SHA from a PR)"
-        required: false
-        type: string
-        default: ""
   pull_request:
     branches: ["main", "feature*"]
   merge_group:
@@ -46,8 +39,6 @@ jobs:
       cosmosDbChanges: ${{ steps.filter.outputs.cosmosdb }}
     steps:
       - uses: actions/checkout@v6
-        with:
-          ref: ${{ inputs.checkout-ref }}
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -85,7 +76,6 @@ jobs:
     steps:
       - uses: actions/checkout@v6
         with:
-            ref: ${{ inputs.checkout-ref }}
             persist-credentials: false
             sparse-checkout: |
               .

.github/workflows/integration-tests-manual.yml

@@ -1,106 +0,0 @@
-#
-# This workflow allows manually running integration tests against an open PR or a branch.
-# Go to Actions → "Integration Tests (Manual)" → Run workflow → enter a PR number or branch name.
-#
-# It reuses the existing dotnet-build-and-test and python-merge-tests workflows,
-# passing a ref so they check out and test the correct code.
-#
-
-name: Integration Tests (Manual)
-
-on:
-  workflow_dispatch:
-    inputs:
-      pr-number:
-        description: "PR number to run integration tests against (leave empty if using branch)"
-        required: false
-        type: string
-        default: ""
-      branch:
-        description: "Branch name to run integration tests against (leave empty if using PR number)"
-        required: false
-        type: string
-        default: ""
-
-permissions:
-  contents: read
-  pull-requests: read
-  id-token: write
-
-concurrency:
-  group: integration-tests-manual-${{ github.event.inputs.pr-number || github.event.inputs.branch }}
-  cancel-in-progress: true
-
-jobs:
-  resolve-ref:
-    name: Resolve ref
-    runs-on: ubuntu-latest
-    outputs:
-      checkout-ref: ${{ steps.resolve.outputs.checkout-ref }}
-    steps:
-      - name: Resolve checkout ref
-        id: resolve
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          PR_NUMBER: ${{ github.event.inputs.pr-number }}
-          BRANCH: ${{ github.event.inputs.branch }}
-          REPO: ${{ github.repository }}
-          REPO_OWNER: ${{ github.repository_owner }}
-        run: |
-          if [ -n "$PR_NUMBER" ] && [ -n "$BRANCH" ]; then
-            echo "::error::Please provide either a PR number or a branch name, not both."
-            exit 1
-          fi
-
-          if [ -z "$PR_NUMBER" ] && [ -z "$BRANCH" ]; then
-            echo "::error::Please provide either a PR number or a branch name."
-            exit 1
-          fi
-
-          if [ -n "$PR_NUMBER" ]; then
-            if ! echo "$PR_NUMBER" | grep -Eq '^[0-9]+$'; then
-              echo "::error::Invalid PR number. Only numeric values are allowed."
-              exit 1
-            fi
-
-            PR_DATA=$(gh pr view "$PR_NUMBER" --repo "$REPO" --json state,headRepository,headRepositoryOwner)
-            PR_STATE=$(echo "$PR_DATA" | jq -r '.state')
-            HEAD_OWNER=$(echo "$PR_DATA" | jq -r '.headRepositoryOwner.login')
-
-            if [ "$PR_STATE" != "OPEN" ]; then
-              echo "::error::PR #$PR_NUMBER is not open (state: $PR_STATE)"
-              exit 1
-            fi
-
-            if [ "$HEAD_OWNER" != "$REPO_OWNER" ]; then
-              echo "::error::PR #$PR_NUMBER is from a fork ($HEAD_OWNER). Running integration tests against fork PRs is not allowed for security reasons."
-              exit 1
-            fi
-
-            echo "checkout-ref=refs/pull/$PR_NUMBER/head" >> "$GITHUB_OUTPUT"
-            echo "Running integration tests for PR #$PR_NUMBER"
-          else
-            if ! echo "$BRANCH" | grep -Eq '^[a-zA-Z0-9_./-]+$'; then
-              echo "::error::Invalid branch name. Only alphanumeric characters, hyphens, underscores, dots, and slashes are allowed."
-              exit 1
-            fi
-
-            echo "checkout-ref=$BRANCH" >> "$GITHUB_OUTPUT"
-            echo "Running integration tests for branch $BRANCH"
-          fi
-
-  dotnet-integration-tests:
-    name: .NET Integration Tests
-    needs: resolve-ref
-    uses: ./.github/workflows/dotnet-build-and-test.yml
-    with:
-      checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
-    secrets: inherit
-
-  python-integration-tests:
-    name: Python Integration Tests
-    needs: resolve-ref
-    uses: ./.github/workflows/python-merge-tests.yml
-    with:
-      checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
-    secrets: inherit

.github/workflows/python-check-coverage.py

@@ -1,13 +1,10 @@
 #!/usr/bin/env python3
 # Copyright (c) Microsoft. All rights reserved.
-"""Check Python test coverage against threshold for enforced targets.
+"""Check Python test coverage against threshold for enforced modules.
 
 This script parses a Cobertura XML coverage report and enforces a minimum
-coverage threshold on specific targets. Targets can be package names
-(e.g., "packages.core.agent_framework") or individual Python file paths
-(e.g., "packages/core/agent_framework/observability.py").
-
-Non-enforced targets are reported for visibility but don't block the build.
+coverage threshold on specific modules. Non-enforced modules are reported
+for visibility but don't block the build.
 
 Usage:
     python python-check-coverage.py <coverage-xml-path> <threshold>
@@ -21,31 +18,24 @@ import xml.etree.ElementTree as ET
 from dataclasses import dataclass
 
 # =============================================================================
-# ENFORCED TARGETS CONFIGURATION
+# ENFORCED MODULES CONFIGURATION
 # =============================================================================
-# Add or remove entries from this set to control which targets must meet
-# the coverage threshold. Only these targets will fail the build if below
-# threshold. Other targets are reported for visibility only.
+# Add or remove modules from this set to control which packages must meet
+# the coverage threshold. Only these modules will fail the build if below
+# threshold. Other modules are reported for visibility only.
 #
-# Target values can be:
-# - Package paths as they appear in the coverage report
-#   (e.g., "packages.azure-ai.agent_framework_azure_ai")
-# - Python source file paths as they appear in the coverage report
-#   (e.g., "packages/core/agent_framework/observability.py")
+# Module paths should match the package paths as they appear in the coverage
+# report (e.g., "packages.azure-ai.agent_framework_azure_ai" for packages/azure-ai).
+# Sub-modules can be included by specifying their full path.
 # =============================================================================
-ENFORCED_TARGETS: set[str] = {
-    # Packages
+ENFORCED_MODULES: set[str] = {
     "packages.azure-ai.agent_framework_azure_ai",
     "packages.core.agent_framework",
     "packages.core.agent_framework._workflows",
     "packages.purview.agent_framework_purview",
-    "packages.anthropic.agent_framework_anthropic",
-    "packages.azure-ai-search.agent_framework_azure_ai_search",
-    "packages.core.agent_framework.azure",
-    "packages.core.agent_framework.openai",
-    # Individual files (if you want to enforce specific files instead of whole packages)
-    "packages/core/agent_framework/observability.py",
-    # Add more targets here as coverage improves
+    # Add more modules here as coverage improves:
+    # "packages.azure-ai-search.agent_framework_azure_ai_search",
+    # "packages.anthropic.agent_framework_anthropic",
 }
 
 
@@ -72,21 +62,14 @@ class PackageCoverage:
         return self.branch_rate * 100
 
 
-def normalize_coverage_path(path: str) -> str:
-    """Normalize coverage paths for reliable matching."""
-    return path.replace("\\", "/").lstrip("./")
-
-
-def parse_coverage_xml(
-    xml_path: str,
-) -> tuple[dict[str, PackageCoverage], dict[str, PackageCoverage], float, float]:
+def parse_coverage_xml(xml_path: str) -> tuple[dict[str, PackageCoverage], float, float]:
     """Parse Cobertura XML and extract per-package coverage data.
 
     Args:
         xml_path: Path to the Cobertura XML coverage report.
 
     Returns:
-        A tuple of (packages_dict, files_dict, overall_line_rate, overall_branch_rate).
+        A tuple of (packages_dict, overall_line_rate, overall_branch_rate).
     """
     tree = ET.parse(xml_path)
     root = tree.getroot()
@@ -96,7 +79,6 @@ def parse_coverage_xml(
     overall_branch_rate = float(root.get("branch-rate", 0))
 
     packages: dict[str, PackageCoverage] = {}
-    file_stats: dict[str, dict[str, int]] = {}
 
     for package in root.findall(".//package"):
         package_path = package.get("name", "unknown")
@@ -111,43 +93,19 @@ def parse_coverage_xml(
         branches_covered = 0
 
         for class_elem in package.findall(".//class"):
-            file_path = normalize_coverage_path(class_elem.get("filename", ""))
-            if file_path and file_path not in file_stats:
-                file_stats[file_path] = {
-                    "lines_valid": 0,
-                    "lines_covered": 0,
-                    "branches_valid": 0,
-                    "branches_covered": 0,
-                }
-
             for line in class_elem.findall(".//line"):
                 lines_valid += 1
                 if int(line.get("hits", 0)) > 0:
                     lines_covered += 1
-
-                if file_path:
-                    file_stats[file_path]["lines_valid"] += 1
-                    if int(line.get("hits", 0)) > 0:
-                        file_stats[file_path]["lines_covered"] += 1
-
                 # Branch coverage from line elements
                 if line.get("branch") == "true":
                     condition_coverage = line.get("condition-coverage", "")
                     if condition_coverage:
                         # Parse "X% (covered/total)" format
                         try:
-                            coverage_parts = (
-                                condition_coverage.split("(")[1].rstrip(")").split("/")
-                            )
+                            coverage_parts = condition_coverage.split("(")[1].rstrip(")").split("/")
                             branches_covered += int(coverage_parts[0])
                             branches_valid += int(coverage_parts[1])
-                            if file_path:
-                                file_stats[file_path]["branches_covered"] += int(
-                                    coverage_parts[0]
-                                )
-                                file_stats[file_path]["branches_valid"] += int(
-                                    coverage_parts[1]
-                                )
                         except (IndexError, ValueError):
                             # Ignore malformed condition-coverage strings; treat this line as having no branch data.
                             pass
@@ -156,33 +114,14 @@ def parse_coverage_xml(
         packages[package_path] = PackageCoverage(
             name=package_path,
             line_rate=line_rate if lines_valid == 0 else lines_covered / lines_valid,
-            branch_rate=branch_rate
-            if branches_valid == 0
-            else branches_covered / branches_valid,
+            branch_rate=branch_rate if branches_valid == 0 else branches_covered / branches_valid,
             lines_valid=lines_valid,
             lines_covered=lines_covered,
             branches_valid=branches_valid,
             branches_covered=branches_covered,
         )
 
-    files: dict[str, PackageCoverage] = {}
-    for file_path, stats in file_stats.items():
-        lines_valid = stats["lines_valid"]
-        lines_covered = stats["lines_covered"]
-        branches_valid = stats["branches_valid"]
-        branches_covered = stats["branches_covered"]
-
-        files[file_path] = PackageCoverage(
-            name=file_path,
-            line_rate=0 if lines_valid == 0 else lines_covered / lines_valid,
-            branch_rate=0 if branches_valid == 0 else branches_covered / branches_valid,
-            lines_valid=lines_valid,
-            lines_covered=lines_covered,
-            branches_valid=branches_valid,
-            branches_covered=branches_covered,
-        )
-
-    return packages, files, overall_line_rate, overall_branch_rate
+    return packages, overall_line_rate, overall_branch_rate
 
 
 def format_coverage_value(coverage: float, threshold: float, is_enforced: bool) -> str:
@@ -191,7 +130,7 @@ def format_coverage_value(coverage: float, threshold: float, is_enforced: bool)
     Args:
         coverage: Coverage percentage (0-100).
         threshold: Minimum required coverage percentage.
-        is_enforced: Whether this target is enforced.
+        is_enforced: Whether this module is enforced.
 
     Returns:
         Formatted string like "85.5%" or "85.5% ✅" or "75.0% ❌".
@@ -205,7 +144,6 @@ def format_coverage_value(coverage: float, threshold: float, is_enforced: bool)
 
 def print_coverage_table(
     packages: dict[str, PackageCoverage],
-    files: dict[str, PackageCoverage],
     threshold: float,
     overall_line_rate: float,
     overall_branch_rate: float,
@@ -214,7 +152,6 @@ def print_coverage_table(
 
     Args:
         packages: Dictionary of package name to coverage data.
-        files: Dictionary of file path to coverage data, used for per-file enforcement.
         threshold: Minimum required coverage percentage.
         overall_line_rate: Overall line coverage rate (0-1).
         overall_branch_rate: Overall branch coverage rate (0-1).
@@ -228,25 +165,21 @@ def print_coverage_table(
     print(f"Overall Branch Coverage: {overall_branch_rate * 100:.1f}%")
     print(f"Threshold:               {threshold}%")
 
-    enforced_targets = {normalize_coverage_path(t) for t in ENFORCED_TARGETS}
-
     # Package table
     print("\n" + "-" * 110)
     print(f"{'Package':<80} {'Lines':<15} {'Line Cov':<15}")
     print("-" * 110)
 
-    # Sort: enforced package targets first, then alphabetically
+    # Sort: enforced modules first, then alphabetically
     sorted_packages = sorted(
         packages.values(),
-        key=lambda p: (p.name not in ENFORCED_TARGETS, p.name),
+        key=lambda p: (p.name not in ENFORCED_MODULES, p.name),
     )
 
     for pkg in sorted_packages:
-        is_enforced = normalize_coverage_path(pkg.name) in enforced_targets
+        is_enforced = pkg.name in ENFORCED_MODULES
         enforced_marker = "[ENFORCED] " if is_enforced else ""
-        line_cov = format_coverage_value(
-            pkg.line_coverage_percent, threshold, is_enforced
-        )
+        line_cov = format_coverage_value(pkg.line_coverage_percent, threshold, is_enforced)
         lines_info = f"{pkg.lines_covered}/{pkg.lines_valid}"
         package_label = f"{enforced_marker}{pkg.name}"
 
@@ -254,98 +187,50 @@ def print_coverage_table(
 
     print("-" * 110)
 
-    # Enforced file/model entries (if configured)
-    enforced_files = [
-        files[target]
-        for target in sorted(enforced_targets)
-        if target in files and target.endswith(".py")
-    ]
-
-    if enforced_files:
-        print("\nEnforced Files/Models")
-        print("-" * 110)
-        print(f"{'File':<80} {'Lines':<15} {'Line Cov':<15}")
-        print("-" * 110)
-
-        for file_cov in enforced_files:
-            line_cov = format_coverage_value(
-                file_cov.line_coverage_percent, threshold, True
-            )
-            lines_info = f"{file_cov.lines_covered}/{file_cov.lines_valid}"
-            print(f"[ENFORCED] {file_cov.name:<69} {lines_info:<15} {line_cov:<15}")
-
-        print("-" * 110)
-
 
 def check_coverage(xml_path: str, threshold: float) -> bool:
-    """Check if all enforced targets meet the coverage threshold.
+    """Check if all enforced modules meet the coverage threshold.
 
     Args:
         xml_path: Path to the Cobertura XML coverage report.
         threshold: Minimum required coverage percentage.
 
     Returns:
-        True if all enforced targets pass, False otherwise.
+        True if all enforced modules pass, False otherwise.
     """
-    packages, files, overall_line_rate, overall_branch_rate = parse_coverage_xml(
-        xml_path
-    )
+    packages, overall_line_rate, overall_branch_rate = parse_coverage_xml(xml_path)
 
-    print_coverage_table(
-        packages, files, threshold, overall_line_rate, overall_branch_rate
-    )
+    print_coverage_table(packages, threshold, overall_line_rate, overall_branch_rate)
 
-    # Check enforced targets
-    failed_targets: list[str] = []
-    missing_targets: list[str] = []
+    # Check enforced modules
+    failed_modules: list[str] = []
+    missing_modules: list[str] = []
 
-    for target_name in ENFORCED_TARGETS:
-        normalized_target = normalize_coverage_path(target_name)
-        package_alias = normalized_target.replace("/", ".")
-
-        target_coverage = None
-        if target_name in packages:
-            target_coverage = packages[target_name]
-        elif normalized_target in files:
-            target_coverage = files[normalized_target]
-        elif package_alias in packages:
-            target_coverage = packages[package_alias]
-
-        if target_coverage is None:
-            missing_targets.append(target_name)
+    for module_name in ENFORCED_MODULES:
+        if module_name not in packages:
+            missing_modules.append(module_name)
             continue
 
-        if target_coverage.line_coverage_percent < threshold:
-            failed_targets.append(
-                f"{target_name} ({target_coverage.line_coverage_percent:.1f}%)"
-            )
+        pkg = packages[module_name]
+        if pkg.line_coverage_percent < threshold:
+            failed_modules.append(f"{module_name} ({pkg.line_coverage_percent:.1f}%)")
 
     # Report results
-    if missing_targets:
-        print(
-            f"\n❌ FAILED: Enforced targets not found in coverage report: {', '.join(missing_targets)}"
-        )
+    if missing_modules:
+        print(f"\n❌ FAILED: Enforced modules not found in coverage report: {', '.join(missing_modules)}")
         return False
 
-    if failed_targets:
-        print(
-            f"\n❌ FAILED: The following enforced targets are below {threshold}% coverage threshold:"
-        )
-        for target in failed_targets:
-            print(f"   - {target}")
-        print("\nTo fix: Add more tests to improve coverage for the failing targets.")
+    if failed_modules:
+        print(f"\n❌ FAILED: The following enforced modules are below {threshold}% coverage threshold:")
+        for module in failed_modules:
+            print(f"   - {module}")
+        print("\nTo fix: Add more tests to improve coverage for the failing modules.")
         return False
 
-    if ENFORCED_TARGETS:
-        found_enforced = [
-            target
-            for target in ENFORCED_TARGETS
-            if target in packages or normalize_coverage_path(target) in files
-        ]
+    if ENFORCED_MODULES:
+        found_enforced = [m for m in ENFORCED_MODULES if m in packages]
         if found_enforced:
-            print(
-                f"\n✅ PASSED: All enforced targets meet the {threshold}% coverage threshold."
-            )
+            print(f"\n✅ PASSED: All enforced modules meet the {threshold}% coverage threshold.")
 
     return True
 

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

@@ -2,13 +2,6 @@ name: Python - Merge - Tests
 
 on:
   workflow_dispatch:
-  workflow_call:
-    inputs:
-      checkout-ref:
-        description: "Git ref to checkout (e.g., a commit SHA from a PR)"
-        required: false
-        type: string
-        default: ""
   pull_request:
     branches: ["main"]
   merge_group:
@@ -36,8 +29,6 @@ jobs:
       pythonChanges: ${{ steps.filter.outputs.python}}
     steps:
       - uses: actions/checkout@v6
-        with:
-          ref: ${{ inputs.checkout-ref }}
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -85,8 +76,6 @@ jobs:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
-        with:
-          ref: ${{ inputs.checkout-ref }}
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -146,8 +135,6 @@ jobs:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
-        with:
-          ref: ${{ inputs.checkout-ref }}
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup

README.md

@@ -53,7 +53,7 @@ Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-commu
 ### ✨ **Highlights**
 
 - **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities
-  - [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/03-workflows/)
+  - [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/GettingStarted/Workflows/)
 - **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
   - [Labs directory](./python/packages/lab/)
 - **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
@@ -73,11 +73,11 @@ Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-commu
 - **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
   - [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
 - **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
-  - [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/02-agents/AgentOpenTelemetry/)
+  - [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/GettingStarted/AgentOpenTelemetry/)
 - **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
-  - [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/02-agents/AgentProviders/)
+  - [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/GettingStarted/AgentProviders/)
 - **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
-  - [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/)
+  - [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/)
 
 ### 💬 **We want your feedback!**
 
@@ -125,13 +125,12 @@ Create a simple Agent, using OpenAI Responses, that writes a haiku about the Mic
 
 ```c#
 // dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
-using Microsoft.Agents.AI;
+using System;
 using OpenAI;
-using OpenAI.Responses;
 
 // Replace the <apikey> with your OpenAI API key.
 var agent = new OpenAIClient("<apikey>")
-    .GetResponsesClient("gpt-4o-mini")
+    .GetOpenAIResponseClient("gpt-4o-mini")
     .AsAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
 
 Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
@@ -143,17 +142,14 @@ Create a simple Agent, using Azure OpenAI Responses with token based auth, that
 // dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
 // dotnet add package Azure.Identity
 // Use `az login` to authenticate with Azure CLI
-using System.ClientModel.Primitives;
-using Azure.Identity;
-using Microsoft.Agents.AI;
+using System;
 using OpenAI;
-using OpenAI.Responses;
 
 // Replace <resource> and gpt-4o-mini with your Azure OpenAI resource name and deployment name.
 var agent = new OpenAIClient(
     new BearerTokenPolicy(new AzureCliCredential(), "https://ai.azure.com/.default"),
     new OpenAIClientOptions() { Endpoint = new Uri("https://<resource>.openai.azure.com/openai/v1") })
-    .GetResponsesClient("gpt-4o-mini")
+    .GetOpenAIResponseClient("gpt-4o-mini")
     .AsAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
 
 Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
@@ -169,9 +165,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 
 ### .NET
 
-- [Getting Started with Agents](./dotnet/samples/02-agents/Agents): basic agent creation and tool usage
-- [Agent Provider Samples](./dotnet/samples/02-agents/AgentProviders): samples showing different agent providers
-- [Workflow Samples](./dotnet/samples/03-workflows): advanced multi-agent patterns and workflow orchestration
+- [Getting Started with Agents](./dotnet/samples/GettingStarted/Agents): basic agent creation and tool usage
+- [Agent Provider Samples](./dotnet/samples/GettingStarted/AgentProviders): samples showing different agent providers
+- [Workflow Samples](./dotnet/samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
 
 ## Contributor Resources
 

docs/decisions/0016-python-context-middleware.md

@@ -1072,50 +1072,6 @@ Rationale for B1 over B2: Simpler is better. The whole state dict is passed to e
 > **Note on trust:** Since all `ContextProvider` instances reason over conversation messages (which may contain sensitive user data), they should be **trusted by default**. This is also why we allow all plugins to see all state - if a plugin is untrusted, it shouldn't be in the pipeline at all. The whole state dict is passed rather than isolated slices because plugins that handle messages already have access to the full conversation context.
 
 
-### Addendum (2026-02-17): Provider-scoped hook state and default source IDs
-
-This addendum introduces a **breaking change** that supersedes earlier references in this ADR where hooks received the
-entire `session.state` object as their `state` parameter.
-
-#### Hook state contract
-
-- `before_run` and `after_run` now receive a **provider-scoped** mutable state dict.
-- The framework passes `session.state.setdefault(provider.source_id, {})` to hook `state`.
-- Cross-provider/global inspection remains available through `session.state` on `AgentSession`.
-
-#### Session requirement and fallback behavior
-
-- Provider hooks must use session-backed scoped state; there is no ad-hoc `{}` fallback state.
-- If providers run without a caller-supplied session, the framework creates an internal run-scoped `AgentSession` and
-  passes provider-scoped state from that session.
-
-#### Migration guidance
-
-Migrate provider implementations and samples from nested access to scoped access:
-
-- `state[self.source_id]["key"]` → `state["key"]`
-- `state.setdefault(self.source_id, {})["key"]` → `state["key"]`
-
-#### DEFAULT_SOURCE_ID standardization
-
-Aligned with and extending [PR #3944](https://github.com/microsoft/agent-framework/pull/3944), all built-in/connector
-providers in this surface now define a `DEFAULT_SOURCE_ID` and allow constructor override via `source_id`.
-
-Naming convention:
-
-- snake_case
-- close to the provider class name
-- history providers may use `*_memory` where differentiation is useful
-
-Defaults introduced by this change:
-
-- `InMemoryHistoryProvider.DEFAULT_SOURCE_ID = "in_memory"`
-- `Mem0ContextProvider.DEFAULT_SOURCE_ID = "mem0"`
-- `RedisContextProvider.DEFAULT_SOURCE_ID = "redis"`
-- `RedisHistoryProvider.DEFAULT_SOURCE_ID = "redis_memory"`
-- `AzureAISearchContextProvider.DEFAULT_SOURCE_ID = "azure_ai_search"`
-
-
 ## Comparison to .NET Implementation
 
 The .NET Agent Framework provides equivalent functionality through a different structure. Both implementations achieve the same goals using idioms natural to their respective languages.

docs/features/durable-agents/AGENTS.md

@@ -1,48 +0,0 @@
-# AGENTS.md
-
-Instructions for AI coding agents working on durable agents documentation.
-
-## Scope
-
-This directory contains feature documentation for the durable agents integration. The source code and samples live elsewhere:
-
-- .NET implementation: `dotnet/src/Microsoft.Agents.AI.DurableTask/` and `dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/`
-- Python implementation: `python/packages/durabletask/` and `python/packages/azurefunctions/` (package `agent-framework-azurefunctions`)
-- .NET samples: `dotnet/samples/Durable/Agents/`
-- Python samples: `python/samples/04-hosting/durabletask/`
-- Official docs (Microsoft Learn): <https://learn.microsoft.com/agent-framework/integrations/azure-functions>
-
-## Document structure
-
-| File | Purpose |
-| --- | --- |
-| `README.md` | Main technical overview: architecture, hosting models, orchestration patterns, and links to samples. |
-| `durable-agents-ttl.md` | Deep-dive on session Time-To-Live (TTL) configuration and behavior. |
-
-Add new sibling documents when a topic is too detailed for the README (e.g., a new feature like reliable streaming or MCP tool exposure). Keep the README focused on orientation and link out to siblings for depth.
-
-## Writing guidelines
-
-- **Audience**: Developers already familiar with the Microsoft Agent Framework who want to understand what durability adds and how to use it.
-- **Host-agnostic first**: Durable agents work in console apps, Azure Functions, and any Durable Task–compatible host. Show host-agnostic patterns (plain orchestration functions, `IServiceCollection` registration) before Azure Functions–specific patterns. Avoid giving the impression that Azure Functions is the only hosting option.
-- **Both languages**: Always include C# and Python examples side by side. Keep them equivalent in functionality.
-- **Callout syntax**: Use GitHub-flavored callouts (`> [!NOTE]`, `> [!IMPORTANT]`, `> [!WARNING]`) rather than bold-text callouts (`> **Note:** ...`).
-- **Line length**: Do not wrap long lines. Rely on text viewers / renderers for line wrapping.
-- **Tables**: Use spaces around pipes in separator rows (`| --- |` not `|---|`).
-- **Code snippets**: Keep them minimal and self-contained. Omit boilerplate (using statements, environment variable reads) unless the snippet is specifically about setup.
-- **Cross-references**: Link to Microsoft Learn for conceptual background (Durable Entities, Durable Task Scheduler, Azure Functions). Link to sibling docs within this directory for feature deep-dives.
-
-## Linting
-
-Run markdownlint on all documents before committing, with line-length checks disabled:
-
-```bash
-markdownlint docs/features/durable-agents/ --disable MD013
-```
-
-## When to update these docs
-
-- A new durable agent feature is added (e.g., a new orchestration pattern, hosting model, or configuration option).
-- The public API surface changes in a way that affects how developers use durable agents.
-- New sample directories are added — update the sample links in README.md.
-- The official Microsoft Learn documentation is restructured — update external links.

docs/features/durable-agents/README.md

@@ -1,239 +0,0 @@
-# Durable agents
-
-## Overview
-
-Durable agents extend the standard Microsoft Agent Framework with **durable state management** powered by the Durable Task framework. An ordinary Agent Framework agent runs in-process: its conversation history lives in memory and is lost when the process ends. A durable agent persists conversation history and execution state in external storage so that sessions survive process restarts, failures, and scale-out events.
-
-| Capability | Ordinary agent | Durable agent |
-| --- | --- | --- |
-| Conversation history | In-memory only | Durably persisted |
-| Failure recovery | State lost on crash | Automatically resumed |
-| Multi-instance scale-out | Not supported | Any worker can resume a session |
-| Multi-agent orchestrations | Manual coordination | Deterministic, checkpointed workflows |
-| Human-in-the-loop | Must keep process alive | Can wait days/weeks with zero compute |
-| Hosting | Any process | Console app, Azure Functions, or any Durable Task–compatible host |
-
-> [!NOTE]
-> For a step-by-step tutorial and deployment guidance, see [Azure Functions (Durable)](https://learn.microsoft.com/agent-framework/integrations/azure-functions) on Microsoft Learn.
-
-## How durable agents work
-
-Durable agents are implemented on top of [Durable Entities](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-entities) (also called "virtual actors"). Each **agent session** maps to one entity instance whose state contains the full conversation history. When you send a message to a durable agent, the following happens:
-
-1. The message is dispatched to the entity identified by an `AgentSessionId` (a composite of the agent name and a unique session key).
-2. The entity loads its persisted `DurableAgentState`, which includes the complete conversation history.
-3. The entity invokes the underlying `AIAgent` with the full conversation history, collects the response, and appends both the request and the response to the state.
-4. The updated state is persisted back to durable storage automatically.
-
-Because the entity framework serializes access to each entity instance, concurrent messages to the same session are processed one at a time, eliminating race conditions.
-
-### Agent session identity
-
-Every durable agent session is identified by an `AgentSessionId`, which has two components:
-
-- **Name** – the registered name of the agent (case-insensitive).
-- **Key** – a unique session key (case-sensitive), typically a GUID.
-
-The session ID is mapped to an underlying Durable Task entity ID with a `dafx-` prefix (e.g., `dafx-joker`). This naming convention is consistent across both .NET and Python implementations.
-
-## Architecture
-
-### .NET
-
-The .NET implementation consists of two NuGet packages:
-
-| Package | Purpose |
-| --- | --- |
-| `Microsoft.Agents.AI.DurableTask` | Core durable agent types: `DurableAIAgent`, `AgentEntity`, `DurableAgentSession`, `AgentSessionId`, `DurableAgentsOptions`, and the state model. |
-| `Microsoft.Agents.AI.Hosting.AzureFunctions` | Azure Functions hosting integration: auto-generated HTTP endpoints, MCP tool triggers, entity function triggers, and the `ConfigureDurableAgents` extension method on `FunctionsApplicationBuilder`. |
-
-Key types:
-
-- **`DurableAIAgent`** – A subclass of `AIAgent` used *inside orchestrations*. Obtained via `context.GetAgent("agentName")`, it routes `RunAsync` calls through the orchestration's entity APIs so that each call is checkpointed.
-- **`DurableAIAgentProxy`** – A subclass of `AIAgent` used *outside orchestrations* (e.g., from HTTP triggers or console apps). It signals the entity via `DurableTaskClient` and polls for the response.
-- **`AgentEntity`** – The `TaskEntity<DurableAgentState>` that hosts the real agent. It loads the registered `AIAgent` by name, wraps it in an `EntityAgentWrapper`, feeds it the full conversation history, and persists the result.
-- **`DurableAgentSession`** – An `AgentSession` subclass that carries the `AgentSessionId`.
-- **`DurableAgentsOptions`** – Builder for registering agents and configuring TTL.
-
-### Python
-
-The core Python implementation is in the `agent-framework-durabletask` package (`python/packages/durabletask`). Azure Functions hosting (including `AgentFunctionApp`) is in the separate `agent-framework-azurefunctions` package (`python/packages/azurefunctions`).
-
-Key types:
-
-- **`DurableAIAgent`** – A generic proxy (`DurableAIAgent[TaskT]`) implementing `SupportsAgentRun`. Returns a `TaskT` from `run()` — either an `AgentResponse` (client context) or a `DurableAgentTask` (orchestration context, must be `yield`ed).
-- **`DurableAIAgentWorker`** – Wraps a `TaskHubGrpcWorker` and registers agents as durable entities via `add_agent()`.
-- **`DurableAIAgentClient`** – Wraps a `TaskHubGrpcClient` for external callers. `get_agent()` returns a `DurableAIAgent[AgentResponse]`.
-- **`DurableAIAgentOrchestrationContext`** – Wraps an `OrchestrationContext` for use inside orchestrations. `get_agent()` returns a `DurableAIAgent[DurableAgentTask]`.
-- **`AgentEntity`** – Platform-agnostic agent execution logic that manages state, invokes the agent, handles streaming, and calls response callbacks.
-
-## Hosting models
-
-### Azure Functions
-
-The recommended production hosting model. A single call to `ConfigureDurableAgents` (C#) or `AgentFunctionApp` (Python) automatically:
-
-- Registers agent entities with the Durable Task worker.
-- Generates HTTP endpoints at `/api/agents/{agentName}/run` for each registered agent.
-- Supports `thread_id` query parameter / JSON field and the `x-ms-thread-id` response header for session continuity.
-- Supports fire-and-forget via the `x-ms-wait-for-response: false` header (returns HTTP 202).
-- Optionally exposes agents as MCP tools.
-
-**C# example:**
-
-```csharp
-using IHost app = FunctionsApplication
-    .CreateBuilder(args)
-    .ConfigureFunctionsWebApplication()
-    .ConfigureDurableAgents(options => options.AddAIAgent(agent))
-    .Build();
-app.Run();
-```
-
-**Python example:**
-
-```python
-app = AgentFunctionApp(agents=[agent])
-```
-
-### Console apps / generic hosts
-
-For self-hosted or non-serverless scenarios, register durable agents via `IServiceCollection.ConfigureDurableAgents` (.NET) or `DurableAIAgentWorker` (Python) with explicit Durable Task worker and client configuration.
-
-**C# example:**
-
-```csharp
-IHost host = Host.CreateDefaultBuilder(args)
-    .ConfigureServices(services =>
-    {
-        services.ConfigureDurableAgents(
-            options => options.AddAIAgent(agent),
-            workerBuilder: b => b.UseDurableTaskScheduler(connectionString),
-            clientBuilder: b => b.UseDurableTaskScheduler(connectionString));
-    })
-    .Build();
-```
-
-**Python example:**
-
-```python
-worker = DurableAIAgentWorker(TaskHubGrpcWorker(host_address="localhost:4001"))
-worker.add_agent(agent)
-worker.start()
-```
-
-## Deterministic multi-agent orchestrations
-
-Durable agents can be composed into deterministic, checkpointed workflows using Durable Task orchestrations. The orchestration framework replays orchestrator code on failure, so completed agent calls are not re-executed.
-
-### Patterns
-
-| Pattern | Description |
-| --- | --- |
-| **Sequential (chaining)** | Call agents one after another, passing outputs forward. |
-| **Parallel (fan-out/fan-in)** | Run multiple agents concurrently and aggregate results. |
-| **Conditional** | Branch orchestration logic based on structured agent output. |
-| **Human-in-the-loop** | Pause for external events (approvals, feedback) with optional timeouts. |
-
-### Using agents in orchestrations
-
-Inside an orchestration function, obtain a `DurableAIAgent` via the orchestration context. Each agent gets its own session (created with `CreateSessionAsync` / `create_session`), and you can call the same agent multiple times on the same session to maintain conversation context across sequential invocations.
-
-**C#:**
-
-```csharp
-static async Task<string> WritingOrchestration(TaskOrchestrationContext context)
-{
-    // Get a durable agent reference — works in any host (console app, Azure Functions, etc.)
-    DurableAIAgent writer = context.GetAgent("WriterAgent");
-
-    // Create a session to maintain conversation context across multiple calls
-    AgentSession session = await writer.CreateSessionAsync();
-
-    // First call: generate an initial draft
-    AgentResponse<TextResponse> draft = await writer.RunAsync<TextResponse>(
-        message: "Write a concise inspirational sentence about learning.",
-        session: session);
-
-    // Second call: refine the draft — the agent sees the full conversation history
-    AgentResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
-        message: $"Improve this further while keeping it under 25 words: {draft.Result.Text}",
-        session: session);
-
-    return refined.Result.Text;
-}
-```
-
-**Python:**
-
-```python
-def writing_orchestration(context, _):
-    agent_ctx = DurableAIAgentOrchestrationContext(context)
-
-    # Get a durable agent reference — works in any host (standalone worker, Azure Functions, etc.)
-    writer = agent_ctx.get_agent("WriterAgent")
-
-    # Create a session to maintain conversation context across multiple calls
-    session = writer.create_session()
-
-    # First call: generate an initial draft
-    draft = yield writer.run(
-        messages="Write a concise inspirational sentence about learning.",
-        session=session,
-    )
-
-    # Second call: refine the draft — the agent sees the full conversation history
-    refined = yield writer.run(
-        messages=f"Improve this further while keeping it under 25 words: {draft.text}",
-        session=session,
-    )
-
-    return refined.text
-```
-
-> [!IMPORTANT]
-> In .NET, `DurableAIAgent.RunAsync<T>` deliberately avoids `ConfigureAwait(false)` because the Durable Task Framework uses a custom synchronization context — all continuations must run on the orchestration thread.
-
-## Streaming and response callbacks
-
-Durable agents do not support true end-to-end streaming because entity operations are request/response. However, **reliable streaming** is supported via response callbacks:
-
-- **`IAgentResponseHandler`** (.NET) or **`AgentResponseCallbackProtocol`** (Python) – Implement this interface to receive streaming updates as the underlying agent generates them (e.g., push tokens to a Redis Stream for client consumption).
-- The entity still returns the complete `AgentResponse` after the stream is fully consumed.
-- Clients can reconnect and resume reading from a cursor-based stream (e.g., Redis Streams) without losing messages.
-
-See the **Reliable Streaming** samples for a complete implementation using Redis Streams.
-
-## Session TTL (Time-To-Live)
-
-Durable agent sessions support automatic cleanup via configurable TTL. See [Session TTL](durable-agents-ttl.md) for details on configuration, behavior, and best practices.
-
-## Observability
-
-When using the [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/durable-task-scheduler) as the durable backend, you get built-in observability through its dashboard:
-
-- **Conversation history** – View complete chat history for each agent session.
-- **Orchestration visualization** – See multi-agent execution flows, including parallel branches and conditional logic.
-- **Performance metrics** – Monitor agent response times, token usage, and orchestration duration.
-- **Debugging** – Trace tool invocations and external event handling.
-
-## Samples
-
-- **.NET** – [Console app samples](../../../dotnet/samples/04-hosting/DurableAgents/ConsoleApps/) and [Azure Functions samples](../../../dotnet/samples/04-hosting/DurableAgents/AzureFunctions/) covering single-agent, chaining, concurrency, conditionals, human-in-the-loop, long-running tools, MCP tool exposure, and reliable streaming.
-- **Python** – [Durable Task samples](../../../python/samples/04-hosting/durabletask/) covering single-agent, multi-agent, streaming, chaining, concurrency, conditionals, and human-in-the-loop.
-
-## Packages
-
-| Language | Package | Source |
-| --- | --- | --- |
-| .NET | `Microsoft.Agents.AI.DurableTask` | [`dotnet/src/Microsoft.Agents.AI.DurableTask`](../../../dotnet/src/Microsoft.Agents.AI.DurableTask) |
-| .NET | `Microsoft.Agents.AI.Hosting.AzureFunctions` | [`dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions`](../../../dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions) |
-| Python | `agent-framework-durabletask` | [`python/packages/durabletask`](../../../python/packages/durabletask) |
-| Python | `agent-framework-azurefunctions` | [`python/packages/azurefunctions`](../../../python/packages/azurefunctions) |
-
-## Further reading
-
-- [Azure Functions (Durable) — Microsoft Learn](https://learn.microsoft.com/agent-framework/integrations/azure-functions)
-- [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/durable-task-scheduler)
-- [Durable Entities](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-entities)
-- [Session TTL](durable-agents-ttl.md)

dotnet/.github/skills/build-and-test/SKILL.md

@@ -1,85 +0,0 @@
----
-name: build-and-test
-description: How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
----
-
-- Only **UnitTest** projects need to be run locally; IntegrationTests require external dependencies.
-- See `../project-structure/SKILL.md` for project structure details.
-
-## Build, Test, and Lint Commands
-
-```bash
-# From dotnet/ directory
-dotnet restore --tl:off   # Restore dependencies for all projects
-dotnet build --tl:off     # Build all projects
-dotnet test               # Run all tests
-dotnet format             # Auto-fix formatting for all projects
-
-# Build/test/format a specific project (preferred for isolated/internal changes)
-dotnet build src/Microsoft.Agents.AI.<Package> --tl:off
-dotnet test tests/Microsoft.Agents.AI.<Package>.UnitTests
-dotnet format src/Microsoft.Agents.AI.<Package>
-
-# Run a single test
-dotnet test --filter "FullyQualifiedName~Namespace.TestClassName.TestMethodName"
-
-# Run unit tests only
-dotnet test --filter FullyQualifiedName\~UnitTests
-```
-
-Use `--tl:off` when building to avoid flickering when running commands in the agent.
-
-## Speeding Up Builds and Testing
-
-The full solution is large. Use these shortcuts:
-
-| Change type | What to do |
-|-------------|------------|
-| Isolated/Internal logic | Build only the affected project and its `*.UnitTests` project. Fix issues, then build the full solution and run all unit tests. |
-| Public API surface | Build the full solution and run all unit tests immediately. |
-
-Example: Building a single code project for all target frameworks
-
-```bash
-# From dotnet/ directory
-dotnet build ./src/Microsoft.Agents.AI.Abstractions
-```
-
-Example: Building a single code project for just .NET 10.
-
-```bash
-# From dotnet/ directory
-dotnet build ./src/Microsoft.Agents.AI.Abstractions -f net10.0
-```
-
-Example: Running tests for a single project using .NET 10.
-
-```bash
-# From dotnet/ directory
-dotnet test ./tests/Microsoft.Agents.AI.Abstractions.UnitTests -f net10.0
-```
-
-Example: Running a single test in a specific project using .NET 10.
-Provide the full namespace, class name, and method name for the test you want to run:
-
-```bash
-# From dotnet/ directory
-dotnet test ./tests/Microsoft.Agents.AI.Abstractions.UnitTests -f net10.0 --filter "FullyQualifiedName~Microsoft.Agents.AI.Abstractions.UnitTests.AgentRunOptionsTests.CloningConstructorCopiesProperties"
-```
-
-### Multi-target framework tip
-
-Most projects target multiple .NET frameworks. If the affected code does **not** use `#if` directives for framework-specific logic, pass `-f net10.0` to speed up building and testing.
-
-### Package Restore tip
-
-`dotnet build` will try and restore packages for all projects on each build, which can be slow.
-Unless packages have been changed, or it's the first time building the solution, add `--no-restore` to the build command to skip this step and speed up builds.
-
-Just remember to run `dotnet restore` after pulling changes, making changes to project references, or when building for the first time.
-
-### Testing on Linux tip
-
-Unit tests target both .NET Framework as well as .NET Core. When running on Linux, only the .NET Core tests can be run, as .NET Framework is not supported on Linux.
-
-To run only the .NET Core tests, use the `-f net10.0` option with `dotnet test`.

dotnet/.github/skills/project-structure/SKILL.md

@@ -1,31 +0,0 @@
----
-name: project-structure
-description: Explains the project structure of the agent-framework .NET solution
----
-
-# Agent Framework .NET Project Structure
-
-```
-dotnet/
-├── src/
-│   ├── Microsoft.Agents.AI/                      # Core AI agent implementations
-│   ├── Microsoft.Agents.AI.Abstractions/         # Core AI agent abstractions
-│   ├── Microsoft.Agents.AI.A2A/                  # Agent-to-Agent (A2A) provider
-│   ├── Microsoft.Agents.AI.OpenAI/               # OpenAI provider
-│   ├── Microsoft.Agents.AI.AzureAI/              # Azure AI Foundry Agents (v2) provider
-│   ├── Microsoft.Agents.AI.AzureAI.Persistent/   # Legacy Azure AI Foundry Agents (v1) provider
-│   ├── Microsoft.Agents.AI.Anthropic/            # Anthropic provider
-│   ├── Microsoft.Agents.AI.Workflows/            # Workflow orchestration
-│   └── ...                                       # Other packages
-├── samples/                                      # Sample applications
-└── tests/                                        # Unit and integration tests
-```
-
-## Main Folders
-
-| Folder | Contents |
-|--------|----------|
-| `src/` | Source code projects |
-| `tests/` | Test projects — named `<Source-Code-Project>.UnitTests` or `<Source-Code-Project>.IntegrationTests` |
-| `samples/` | Sample projects |
-| `src/Shared`, `src/LegacySupport` | Shared code files included by multiple source code projects (see README.md files in these folders or their subdirectories for instructions on how to include them in a project) |

dotnet/.github/skills/verify-dotnet-samples/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: verify-dotnet-samples
-description: How to build, run and verify the .NET sample projects in the Agent Framework repository. Use this when a user wants to verify that the samples still function as expected.
+description: > How to build, run and verify the .NET sample projects in the Agent Framework repository. Use this when a user wants to verify that the samples still function as expected.
 ---
 
 # Verifying .NET Sample Projects

dotnet/.vscode/settings.json

@@ -1,6 +1,5 @@
 {
     "dotnet.defaultSolution": "agent-framework-dotnet.slnx",
     "git.openRepositoryInParentFolders": "always",
-    "chat.agent.enabled": true,
-    "dotnet.automaticallySyncWithActiveItem": true
+    "chat.agent.enabled": true
 }

dotnet/AGENTS.md

@@ -4,32 +4,44 @@ Instructions for AI coding agents working in the .NET codebase.
 
 ## Build, Test, and Lint Commands
 
-See `./.github/skills/build-and-test/SKILL.md` for detailed instructions on building, testing, and linting projects.
+```bash
+# From dotnet/ directory
+dotnet build              # Build all projects
+dotnet test               # Run all tests
+dotnet format             # Auto-fix formatting
+
+# Build/test a specific project (preferred for isolated changes)
+dotnet build src/Microsoft.Agents.AI.<Package>
+dotnet test tests/Microsoft.Agents.AI.<Package>.UnitTests
+
+# Run a single test
+dotnet test --filter "FullyQualifiedName~TestClassName.TestMethodName"
+```
+
+**Note**: Changes to core packages (`Microsoft.Agents.AI`, `Microsoft.Agents.AI.Abstractions`) affect dependent projects - run checks across the entire solution. For isolated changes, build/test only the affected project to save time.
 
 ## Project Structure
 
-See `./.github/skills/project-structure/SKILL.md` for an overview of the project structure.
-
-### Core types
-
-- `AIAgent`: The abstract base class that all agents derive from, providing common methods for interacting with an agent.
-- `AgentSession`: The abstract base class that all agent sessions derive from, representing a conversation with an agent.
-- `ChatClientAgent`: An `AIAgent` implementation that uses an `IChatClient` to send messages to an AI provider and receive responses.
-- `IChatClient`: Interface for sending messages to an AI provider and receiving responses. Used by `ChatClientAgent` and implemented by provider-specific packages.
-- `FunctionInvokingChatClient`: Decorator for `IChatClient` that adds function invocation capabilities.
-- `AITool`: Represents a tool that an agent/AI provider can use, with metadata and an execution delegate.
-- `AIFunction`: A specific type of `AITool` that represents a local function the agent/AI provider can call, with parameters and return types defined.
-- `ChatMessage`: Represents a message in a conversation.
-- `AIContent`: Represents content in a message, which can be text, a function call, tool output and more.
+```
+dotnet/
+├── src/
+│   ├── Microsoft.Agents.AI/              # Core AI agent abstractions
+│   ├── Microsoft.Agents.AI.Abstractions/ # Shared abstractions and interfaces
+│   ├── Microsoft.Agents.AI.OpenAI/       # OpenAI provider
+│   ├── Microsoft.Agents.AI.AzureAI/      # Azure AI provider
+│   ├── Microsoft.Agents.AI.Anthropic/    # Anthropic provider
+│   ├── Microsoft.Agents.AI.Workflows/    # Workflow orchestration
+│   └── ...                               # Other packages
+├── samples/                              # Sample applications
+└── tests/                                # Unit and integration tests
+```
 
 ### External Dependencies
 
-The framework integrates with `Microsoft.Extensions.AI` and `Microsoft.Extensions.AI.Abstractions` (external NuGet packages)
-using types like `IChatClient`, `FunctionInvokingChatClient`, `AITool`, `AIFunction`, `ChatMessage`, and `AIContent`.
+The framework integrates with `Microsoft.Extensions.AI` and `Microsoft.Extensions.AI.Abstractions` (external NuGet packages) using types like `IChatClient`, `FunctionInvokingChatClient`, `AITool`, and `AIContent`.
 
 ## Key Conventions
 
-- **Encoding**: All new files must be saved with UTF-8 encoding with BOM (Byte Order Mark). This is required for `dotnet format` to work correctly.
 - **Copyright header**: `// Copyright (c) Microsoft. All rights reserved.` at top of all `.cs` files
 - **XML docs**: Required for all public methods and classes
 - **Async**: Use `Async` suffix for methods returning `Task`/`ValueTask`
@@ -37,19 +49,8 @@ using types like `IChatClient`, `FunctionInvokingChatClient`, `AITool`, `AIFunct
 - **Config**: Read from environment variables with `UPPER_SNAKE_CASE` naming
 - **Tests**: Add Arrange/Act/Assert comments; use Moq for mocking
 
-## Key Design Principles
-
-When developing or reviewing code, verify adherence to these key design principles:
-
-- **DRY**: Avoid code duplication by moving common logic into helper methods or helper classes.
-- **Single Responsibility**: Each class should have one clear responsibility.
-- **Encapsulation**: Keep implementation details private and expose only necessary public APIs.
-- **Strong Typing**: Use strong typing to ensure that code is self-documenting and to catch errors at compile time.
-
 ## Sample Structure
 
-Samples (in `./samples/` folder) should follow this structure:
-
 1. Copyright header: `// Copyright (c) Microsoft. All rights reserved.`
 2. Description comment explaining what the sample demonstrates
 3. Using statements
@@ -59,7 +60,6 @@ Samples (in `./samples/` folder) should follow this structure:
 Configuration via environment variables (never hardcode secrets). Keep samples simple and focused.
 
 When adding a new sample:
-
 - Create a standalone project in `samples/` with matching directory and project names
 - Include a README.md explaining what the sample does and how to run it
 - Add the project to the solution file

dotnet/Directory.Packages.props

@@ -42,7 +42,7 @@
     <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.3" />
     <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="10.0.3" />
+    <PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.1" />
     <PackageVersion Include="System.Text.Json" Version="10.0.3" />
     <PackageVersion Include="System.Threading.Channels" Version="10.0.3" />
     <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
@@ -63,9 +63,6 @@
     <!-- Microsoft.Extensions.* -->
     <PackageVersion Include="Microsoft.Extensions.AI" Version="10.3.0" />
     <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.3.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.3.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.3.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.3.0-preview.1.26109.11" />
     <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.3.0" />
     <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.0" />
@@ -102,7 +99,7 @@
     <PackageVersion Include="A2A" Version="0.3.3-preview" />
     <PackageVersion Include="A2A.AspNetCore" Version="0.3.3-preview" />
     <!-- MCP -->
-    <PackageVersion Include="ModelContextProtocol" Version="0.8.0-preview.1" />
+    <PackageVersion Include="ModelContextProtocol" Version="0.4.0-preview.3" />
     <!-- Inference SDKs -->
     <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.5.1" />
     <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
@@ -111,10 +108,10 @@
     <!-- Identity -->
     <PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
     <!-- Workflows -->
-    <PackageVersion Include="Microsoft.Agents.ObjectModel" Version="2026.2.3.1" />
-    <PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.2.3.1" />
-    <PackageVersion Include="Microsoft.Agents.ObjectModel.PowerFx" Version="2026.2.3.1" />
-    <PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.8.1" />
+    <PackageVersion Include="Microsoft.Agents.ObjectModel" Version="2026.1.2.3" />
+    <PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.1.2.3" />
+    <PackageVersion Include="Microsoft.Agents.ObjectModel.PowerFx" Version="2026.1.2.3" />
+    <PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.5.0-build.20251008-1002" />
     <!-- Durable Task -->
     <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.18.0" />
     <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.18.0" />

dotnet/README.md

@@ -1,20 +1,26 @@
 # Get Started with Microsoft Agent Framework for C# Developers
 
+## Samples
+
+- [Getting Started with Agents](./samples/GettingStarted/Agents): basic agent creation and tool usage
+- [Agent Provider Samples](./samples/GettingStarted/AgentProviders): samples showing different agent providers
+- [Workflow Samples](./samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
+
 ## Quickstart
 
 ### Basic Agent - .NET
 
 ```c#
+using System;
 using Azure.AI.OpenAI;
 using Azure.Identity;
 using Microsoft.Agents.AI;
-using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!;
 var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME")!;
 
 var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
-    .GetResponsesClient(deploymentName)
+    .GetOpenAIResponseClient(deploymentName)
     .AsAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
 
 Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
@@ -22,9 +28,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 
 ## Examples & Samples
 
-- [Getting Started with Agents](./samples/02-agents/Agents): basic agent creation and tool usage
-- [Agent Provider Samples](./samples/02-agents/AgentProviders): samples showing different agent providers
-- [Workflow Samples](./samples/03-workflows): advanced multi-agent patterns and workflow orchestration
+- [Getting Started with Agents](./samples/GettingStarted/Agents): basic agent creation and tool usage
+- [Agent Provider Samples](./samples/GettingStarted/AgentProviders): samples showing different agent providers
+- [Workflow Samples](./samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
 
 ## Agent Framework Documentation
 

dotnet/agent-framework-dotnet.slnx

@@ -7,179 +7,214 @@
   <Folder Name="/Samples/">
     <File Path="samples/README.md" />
   </Folder>
-  <Folder Name="/Samples/01-get-started/">
-    <Project Path="samples/01-get-started/01_hello_agent/01_hello_agent.csproj" />
-    <Project Path="samples/01-get-started/02_add_tools/02_add_tools.csproj" />
-    <Project Path="samples/01-get-started/03_multi_turn/03_multi_turn.csproj" />
-    <Project Path="samples/01-get-started/04_memory/04_memory.csproj" />
-    <Project Path="samples/01-get-started/05_first_workflow/05_first_workflow.csproj" />
-    <Project Path="samples/01-get-started/06_host_your_agent/06_host_your_agent.csproj" />
+  <Folder Name="/Samples/A2AClientServer/">
+    <File Path="samples/A2AClientServer/README.md" />
+    <Project Path="samples/A2AClientServer/A2AClient/A2AClient.csproj" />
+    <Project Path="samples/A2AClientServer/A2AServer/A2AServer.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/">
-    <File Path="samples/02-agents/README.md" />
+  <Folder Name="/Samples/AgentWebChat/">
+    <Project Path="samples/AgentWebChat/AgentWebChat.AgentHost/AgentWebChat.AgentHost.csproj" />
+    <Project Path="samples/AgentWebChat/AgentWebChat.AppHost/AgentWebChat.AppHost.csproj" />
+    <Project Path="samples/AgentWebChat/AgentWebChat.ServiceDefaults/AgentWebChat.ServiceDefaults.csproj" />
+    <Project Path="samples/AgentWebChat/AgentWebChat.Web/AgentWebChat.Web.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentProviders/">
-    <File Path="samples/02-agents/AgentProviders/README.md" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_A2A/Agent_With_A2A.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Agent_With_AzureAIAgentsPersistent.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIAssistants/Agent_With_OpenAIAssistants.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
+  <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/02-agents/Agents/">
-    <File Path="samples/02-agents/Agents/README.md" />
-    <Project Path="samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Agent_Step01_UsingFunctionToolsWithApprovals.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step02_StructuredOutput/Agent_Step02_StructuredOutput.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step03_PersistedConversations/Agent_Step03_PersistedConversations.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Agent_Step04_3rdPartyChatHistoryStorage.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step05_Observability/Agent_Step05_Observability.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step06_DependencyInjection/Agent_Step06_DependencyInjection.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step07_AsMcpTool/Agent_Step07_AsMcpTool.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step08_UsingImages/Agent_Step08_UsingImages.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step09_AsFunctionTool/Agent_Step09_AsFunctionTool.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Agent_Step10_BackgroundResponsesWithToolsAndPersistence.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step11_Middleware/Agent_Step11_Middleware.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step12_Plugins/Agent_Step12_Plugins.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step13_ChatReduction/Agent_Step13_ChatReduction.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Agent_Step14_BackgroundResponses.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step15_DeepResearch/Agent_Step15_DeepResearch.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step16_Declarative/Agent_Step16_Declarative.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Agent_Step17_AdditionalAIContext.csproj" />
+  <Folder Name="/Samples/Durable/" />
+  <Folder Name="/Samples/Durable/Agents/" />
+  <Folder Name="/Samples/Durable/Agents/AzureFunctions/">
+    <File Path="samples/Durable/Agents/AzureFunctions/.editorconfig" />
+    <File Path="samples/Durable/Agents/AzureFunctions/README.md" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
+    <Project Path="samples/Durable/Agents/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/DeclarativeAgents/">
-    <Project Path="samples/02-agents/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
+  <Folder Name="/Samples/Durable/Agents/ConsoleApps/">
+    <File Path="samples/Durable/Agents/ConsoleApps/README.md" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/01_SingleAgent/01_SingleAgent.csproj" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/06_LongRunningTools/06_LongRunningTools.csproj" />
+    <Project Path="samples/Durable/Agents/ConsoleApps/07_ReliableStreaming/07_ReliableStreaming.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AGUI/">
-    <File Path="samples/02-agents/AGUI/README.md" />
+  <Folder Name="/Samples/GettingStarted/">
+    <File Path="samples/GettingStarted/README.md" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AGUI/Step01_GettingStarted/">
-    <Project Path="samples/02-agents/AGUI/Step01_GettingStarted/Client/Client.csproj" />
-    <Project Path="samples/02-agents/AGUI/Step01_GettingStarted/Server/Server.csproj" />
+  <Folder Name="/Samples/GettingStarted/A2A/">
+    <File Path="samples/GettingStarted/A2A/README.md" />
+    <Project Path="samples/GettingStarted/A2A/A2AAgent_AsFunctionTools/A2AAgent_AsFunctionTools.csproj" />
+    <Project Path="samples/GettingStarted/A2A/A2AAgent_PollingForTaskCompletion/A2AAgent_PollingForTaskCompletion.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AGUI/Step02_BackendTools/">
-    <Project Path="samples/02-agents/AGUI/Step02_BackendTools/Client/Client.csproj" />
-    <Project Path="samples/02-agents/AGUI/Step02_BackendTools/Server/Server.csproj" />
+  <Folder Name="/Samples/GettingStarted/AgentProviders/">
+    <File Path="samples/GettingStarted/AgentProviders/README.md" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_A2A/Agent_With_A2A.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureAIAgentsPersistent/Agent_With_AzureAIAgentsPersistent.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_OpenAIAssistants/Agent_With_OpenAIAssistants.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
+    <Project Path="samples/GettingStarted/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AGUI/Step03_FrontendTools/">
-    <Project Path="samples/02-agents/AGUI/Step03_FrontendTools/Client/Client.csproj" />
-    <Project Path="samples/02-agents/AGUI/Step03_FrontendTools/Server/Server.csproj" />
+  <Folder Name="/Samples/GettingStarted/Agents/">
+    <File Path="samples/GettingStarted/Agents/README.md" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step01_Running/Agent_Step01_Running.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step02_MultiturnConversation/Agent_Step02_MultiturnConversation.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step07_3rdPartyChatHistoryStorage/Agent_Step07_3rdPartyChatHistoryStorage.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step08_Observability/Agent_Step08_Observability.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step09_DependencyInjection/Agent_Step09_DependencyInjection.csproj" />
+    <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_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" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step19_Declarative/Agent_Step19_Declarative.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step20_AdditionalAIContext/Agent_Step20_AdditionalAIContext.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AGUI/Step04_HumanInLoop/">
-    <Project Path="samples/02-agents/AGUI/Step04_HumanInLoop/Client/Client.csproj" />
-    <Project Path="samples/02-agents/AGUI/Step04_HumanInLoop/Server/Server.csproj" />
+  <Folder Name="/Samples/GettingStarted/DeclarativeAgents/">
+    <Project Path="samples/GettingStarted/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentSkills/">
-    <File Path="samples/02-agents/AgentSkills/README.md" />
-    <Project Path="samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Agent_Step01_BasicSkills.csproj" />
+  <Folder Name="/Samples/GettingStarted/AGUI/">
+    <File Path="samples/GettingStarted/AGUI/README.md" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AGUI/Step05_StateManagement/">
-    <Project Path="samples/02-agents/AGUI/Step05_StateManagement/Client/Client.csproj" />
-    <Project Path="samples/02-agents/AGUI/Step05_StateManagement/Server/Server.csproj" />
+  <Folder Name="/Samples/GettingStarted/AGUI/Step01_GettingStarted/">
+    <Project Path="samples/GettingStarted/AGUI/Step01_GettingStarted/Client/Client.csproj" />
+    <Project Path="samples/GettingStarted/AGUI/Step01_GettingStarted/Server/Server.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/DevUI/">
-    <File Path="samples/02-agents/DevUI/README.md" />
-    <Project Path="samples/02-agents/DevUI/DevUI_Step01_BasicUsage/DevUI_Step01_BasicUsage.csproj" />
+  <Folder Name="/Samples/GettingStarted/AGUI/Step02_BackendTools/">
+    <Project Path="samples/GettingStarted/AGUI/Step02_BackendTools/Client/Client.csproj" />
+    <Project Path="samples/GettingStarted/AGUI/Step02_BackendTools/Server/Server.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithAnthropic/">
-    <File Path="samples/02-agents/AgentWithAnthropic/README.md" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
+  <Folder Name="/Samples/GettingStarted/AGUI/Step03_FrontendTools/">
+    <Project Path="samples/GettingStarted/AGUI/Step03_FrontendTools/Client/Client.csproj" />
+    <Project Path="samples/GettingStarted/AGUI/Step03_FrontendTools/Server/Server.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithMemory/">
-    <File Path="samples/02-agents/AgentWithMemory/README.md" />
-    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/AgentWithMemory_Step01_ChatHistoryMemory.csproj" />
-    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/AgentWithMemory_Step02_MemoryUsingMem0.csproj" />
-    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/AgentWithMemory_Step04_MemoryUsingFoundry.csproj" />
+  <Folder Name="/Samples/GettingStarted/AGUI/Step04_HumanInLoop/">
+    <Project Path="samples/GettingStarted/AGUI/Step04_HumanInLoop/Client/Client.csproj" />
+    <Project Path="samples/GettingStarted/AGUI/Step04_HumanInLoop/Server/Server.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithOpenAI/">
-    <File Path="samples/02-agents/AgentWithOpenAI/README.md" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
+  <Folder Name="/Samples/GettingStarted/AGUI/Step05_StateManagement/">
+    <Project Path="samples/GettingStarted/AGUI/Step05_StateManagement/Client/Client.csproj" />
+    <Project Path="samples/GettingStarted/AGUI/Step05_StateManagement/Server/Server.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithRAG/">
-    <File Path="samples/02-agents/AgentWithRAG/README.md" />
-    <Project Path="samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/AgentWithRAG_Step01_BasicTextRAG.csproj" />
-    <Project Path="samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/AgentWithRAG_Step02_CustomVectorStoreRAG.csproj" />
-    <Project Path="samples/02-agents/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/AgentWithRAG_Step03_CustomRAGDataSource.csproj" />
-    <Project Path="samples/02-agents/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/AgentWithRAG_Step04_FoundryServiceRAG.csproj" />
+  <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/02-agents/FoundryAgents/">
-    <File Path="samples/02-agents/FoundryAgents/README.md" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/FoundryAgents_Evaluations_Step01_RedTeaming.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection/FoundryAgents_Evaluations_Step02_SelfReflection.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step01.1_Basics/FoundryAgents_Step01.1_Basics.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step01.2_Running/FoundryAgents_Step01.2_Running.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step02_MultiturnConversation/FoundryAgents_Step02_MultiturnConversation.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step03_UsingFunctionTools/FoundryAgents_Step03_UsingFunctionTools.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/FoundryAgents_Step04_UsingFunctionToolsWithApprovals.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step05_StructuredOutput/FoundryAgents_Step05_StructuredOutput.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step06_PersistedConversations/FoundryAgents_Step06_PersistedConversations.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step07_Observability/FoundryAgents_Step07_Observability.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step08_DependencyInjection/FoundryAgents_Step08_DependencyInjection.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step09_UsingMcpClientAsTools/FoundryAgents_Step09_UsingMcpClientAsTools.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step10_UsingImages/FoundryAgents_Step10_UsingImages.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step11_AsFunctionTool/FoundryAgents_Step11_AsFunctionTool.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step12_Middleware/FoundryAgents_Step12_Middleware.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step13_Plugins/FoundryAgents_Step13_Plugins.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step14_CodeInterpreter/FoundryAgents_Step14_CodeInterpreter.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step15_ComputerUse/FoundryAgents_Step15_ComputerUse.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step18_FileSearch/FoundryAgents_Step18_FileSearch.csproj" />
-    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step19_OpenAPITools/FoundryAgents_Step19_OpenAPITools.csproj" />
+  <Folder Name="/Samples/GettingStarted/AgentWithAnthropic/">
+    <File Path="samples/GettingStarted/AgentWithAnthropic/README.md" />
+    <Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/ModelContextProtocol/">
-    <File Path="samples/02-agents/ModelContextProtocol/README.md" />
-    <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Agent_MCP_Server.csproj" />
-    <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Agent_MCP_Server_Auth.csproj" />
-    <Project Path="samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/FoundryAgent_Hosted_MCP.csproj" />
-    <Project Path="samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/ResponseAgent_Hosted_MCP.csproj" />
+  <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/02-agents/Observability/">
-    <Project Path="samples/02-agents/AgentOpenTelemetry/AgentOpenTelemetry.csproj" />
+  <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" />
+    <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
   </Folder>
-   <Folder Name="/Samples/03-workflows/">
-    <File Path="samples/03-workflows/README.md" />
+  <Folder Name="/Samples/Purview/" />
+  <Folder Name="/Samples/Purview/AgentWithPurview/">
+    <Project Path="samples/Purview/AgentWithPurview/AgentWithPurview.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/Concurrent/">
-    <Project Path="samples/03-workflows/Concurrent/Concurrent/Concurrent.csproj" />
-    <Project Path="samples/03-workflows/Concurrent/MapReduce/MapReduce.csproj" />
+  <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" />
+    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/AgentWithRAG_Step04_FoundryServiceRAG.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/ConditionalEdges/">
-    <Project Path="samples/03-workflows/ConditionalEdges/01_EdgeCondition/01_EdgeCondition.csproj" />
-    <Project Path="samples/03-workflows/ConditionalEdges/02_SwitchCase/02_SwitchCase.csproj" />
-    <Project Path="samples/03-workflows/ConditionalEdges/03_MultiSelection/03_MultiSelection.csproj" />
+  <Folder Name="/Samples/GettingStarted/FoundryAgents/">
+    <File Path="samples/GettingStarted/FoundryAgents/README.md" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step01.1_Basics/FoundryAgents_Step01.1_Basics.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step01.2_Running/FoundryAgents_Step01.2_Running.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step02_MultiturnConversation/FoundryAgents_Step02_MultiturnConversation.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step03_UsingFunctionTools/FoundryAgents_Step03_UsingFunctionTools.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step04_UsingFunctionToolsWithApprovals/FoundryAgents_Step04_UsingFunctionToolsWithApprovals.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step05_StructuredOutput/FoundryAgents_Step05_StructuredOutput.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step06_PersistedConversations/FoundryAgents_Step06_PersistedConversations.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step07_Observability/FoundryAgents_Step07_Observability.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step08_DependencyInjection/FoundryAgents_Step08_DependencyInjection.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step09_UsingMcpClientAsTools/FoundryAgents_Step09_UsingMcpClientAsTools.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step10_UsingImages/FoundryAgents_Step10_UsingImages.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step11_AsFunctionTool/FoundryAgents_Step11_AsFunctionTool.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step12_Middleware/FoundryAgents_Step12_Middleware.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step13_Plugins/FoundryAgents_Step13_Plugins.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step14_CodeInterpreter/FoundryAgents_Step14_CodeInterpreter.csproj" />
+    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step15_ComputerUse/FoundryAgents_Step15_ComputerUse.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/Declarative/">
-    <File Path="samples/03-workflows/Declarative/README.md" />
-    <Project Path="samples/03-workflows/Declarative/ConfirmInput/ConfirmInput.csproj" />
-    <Project Path="samples/03-workflows/Declarative/CustomerSupport/CustomerSupport.csproj" />
-    <Project Path="samples/03-workflows/Declarative/DeepResearch/DeepResearch.csproj" />
-    <Project Path="samples/03-workflows/Declarative/ExecuteCode/ExecuteCode.csproj" />
-    <Project Path="samples/03-workflows/Declarative/ExecuteWorkflow/ExecuteWorkflow.csproj" />
-    <Project Path="samples/03-workflows/Declarative/FunctionTools/FunctionTools.csproj" />
-    <Project Path="samples/03-workflows/Declarative/GenerateCode/GenerateCode.csproj" />
-    <Project Path="samples/03-workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
-    <Project Path="samples/03-workflows/Declarative/InputArguments/InputArguments.csproj" />
-    <Project Path="samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
-    <Project Path="samples/03-workflows/Declarative/Marketing/Marketing.csproj" />
-    <Project Path="samples/03-workflows/Declarative/StudentTeacher/StudentTeacher.csproj" />
-    <Project Path="samples/03-workflows/Declarative/ToolApproval/ToolApproval.csproj" />
+  <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/03-workflows/Declarative/Examples/">
+  <Folder Name="/Samples/GettingStarted/Observability/">
+    <Project Path="samples/GettingStarted/AgentOpenTelemetry/AgentOpenTelemetry.csproj" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/Workflows/">
+    <File Path="samples/GettingStarted/Workflows/README.md" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/Workflows/Concurrent/">
+    <Project Path="samples/GettingStarted/Workflows/Concurrent/Concurrent/Concurrent.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Concurrent/MapReduce/MapReduce.csproj" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/Workflows/ConditionalEdges/">
+    <Project Path="samples/GettingStarted/Workflows/ConditionalEdges/01_EdgeCondition/01_EdgeCondition.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/ConditionalEdges/02_SwitchCase/02_SwitchCase.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/ConditionalEdges/03_MultiSelection/03_MultiSelection.csproj" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/Workflows/Declarative/">
+    <File Path="samples/GettingStarted/Workflows/Declarative/README.md" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/ConfirmInput/ConfirmInput.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/CustomerSupport/CustomerSupport.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/DeepResearch/DeepResearch.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/ExecuteCode/ExecuteCode.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/ExecuteWorkflow/ExecuteWorkflow.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/FunctionTools/FunctionTools.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/GenerateCode/GenerateCode.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/InputArguments/InputArguments.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/Marketing/Marketing.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/StudentTeacher/StudentTeacher.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Declarative/ToolApproval/ToolApproval.csproj" />
+  </Folder>
+  <Folder Name="/Samples/GettingStarted/Workflows/Declarative/Examples/">
     <File Path="../workflow-samples/CustomerSupport.yaml" />
     <File Path="../workflow-samples/DeepResearch.yaml" />
     <File Path="../workflow-samples/Marketing.yaml" />
@@ -187,96 +222,51 @@
     <File Path="../workflow-samples/README.md" />
     <File Path="../workflow-samples/wttr.json" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/SharedStates/">
-    <Project Path="samples/03-workflows/SharedStates/SharedStates.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/SharedStates/">
+    <Project Path="samples/GettingStarted/Workflows/SharedStates/SharedStates.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/Loop/">
-    <Project Path="samples/03-workflows/Loop/Loop.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/Loop/">
+    <Project Path="samples/GettingStarted/Workflows/Loop/Loop.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/Agents/">
-    <Project Path="samples/03-workflows/Agents/CustomAgentExecutors/CustomAgentExecutors.csproj" />
-    <Project Path="samples/03-workflows/Agents/FoundryAgent/FoundryAgent.csproj" />
-    <Project Path="samples/03-workflows/Agents/GroupChatToolApproval/GroupChatToolApproval.csproj" />
-    <Project Path="samples/03-workflows/Agents/WorkflowAsAnAgent/WorkflowAsAnAgent.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/Agents/">
+    <Project Path="samples/GettingStarted/Workflows/Agents/CustomAgentExecutors/CustomAgentExecutors.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Agents/FoundryAgent/FoundryAgent.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Agents/GroupChatToolApproval/GroupChatToolApproval.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Agents/WorkflowAsAnAgent/WorkflowAsAnAgent.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/Checkpoint/">
-    <Project Path="samples/03-workflows/Checkpoint/CheckpointAndRehydrate/CheckpointAndRehydrate.csproj" />
-    <Project Path="samples/03-workflows/Checkpoint/CheckpointAndResume/CheckpointAndResume.csproj" />
-    <Project Path="samples/03-workflows/Checkpoint/CheckpointWithHumanInTheLoop/CheckpointWithHumanInTheLoop.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/Checkpoint/">
+    <Project Path="samples/GettingStarted/Workflows/Checkpoint/CheckpointAndRehydrate/CheckpointAndRehydrate.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Checkpoint/CheckpointAndResume/CheckpointAndResume.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/Checkpoint/CheckpointWithHumanInTheLoop/CheckpointWithHumanInTheLoop.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/HumanInTheLoop/">
-    <Project Path="samples/03-workflows/HumanInTheLoop/HumanInTheLoopBasic/HumanInTheLoopBasic.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/HumanInTheLoop/">
+    <Project Path="samples/GettingStarted/Workflows/HumanInTheLoop/HumanInTheLoopBasic/HumanInTheLoopBasic.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/Observability/">
-    <Project Path="samples/03-workflows/Observability/ApplicationInsights/ApplicationInsights.csproj" />
-    <Project Path="samples/03-workflows/Observability/AspireDashboard/AspireDashboard.csproj" />
-    <Project Path="samples/03-workflows/Observability/WorkflowAsAnAgent/WorkflowAsAnAgentObservability.csproj" />
+  <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/03-workflows/Visualization/">
-    <Project Path="samples/03-workflows/Visualization/Visualization.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/Visualization/">
+    <Project Path="samples/GettingStarted/Workflows/Visualization/Visualization.csproj" />
   </Folder>
-  <Folder Name="/Samples/03-workflows/_StartHere/">
-    <Project Path="samples/03-workflows/_StartHere/01_Streaming/01_Streaming.csproj" />
-    <Project Path="samples/03-workflows/_StartHere/02_AgentsInWorkflows/02_AgentsInWorkflows.csproj" />
-    <Project Path="samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/03_AgentWorkflowPatterns.csproj" />
-    <Project Path="samples/03-workflows/_StartHere/04_MultiModelService/04_MultiModelService.csproj" />
-    <Project Path="samples/03-workflows/_StartHere/05_SubWorkflows/05_SubWorkflows.csproj" />
-    <Project Path="samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/06_MixedWorkflowAgentsAndExecutors.csproj" />
-    <Project Path="samples/03-workflows/_StartHere/07_WriterCriticWorkflow/07_WriterCriticWorkflow.csproj" />
+  <Folder Name="/Samples/GettingStarted/Workflows/_Foundational/">
+    <Project Path="samples/GettingStarted/Workflows/_Foundational/01_ExecutorsAndEdges/01_ExecutorsAndEdges.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/_Foundational/02_Streaming/02_Streaming.csproj" />
+    <Project Path="samples/GettingStarted/Workflows/_Foundational/03_AgentsInWorkflows/03_AgentsInWorkflows.csproj" />
+    <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/04-hosting/" />
-  <Folder Name="/Samples/04-hosting/DurableAgents/" />
-  <Folder Name="/Samples/04-hosting/DurableAgents/AzureFunctions/">
-    <File Path="samples/04-hosting/DurableAgents/AzureFunctions/.editorconfig" />
-    <File Path="samples/04-hosting/DurableAgents/AzureFunctions/README.md" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/01_AgentOrchestration_Chaining/01_AgentOrchestration_Chaining.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/02_AgentOrchestration_Concurrency/02_AgentOrchestration_Concurrency.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/03_AgentOrchestration_Conditionals/03_AgentOrchestration_Conditionals.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/04_AgentOrchestration_HITL/04_AgentOrchestration_HITL.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/05_LongRunningTools/05_LongRunningTools.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/06_AgentAsMcpTool/06_AgentAsMcpTool.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/07_ReliableStreaming/07_ReliableStreaming.csproj" />
+  <Folder Name="/Samples/HostedAgents/">
+    <Project Path="samples/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
+    <Project Path="samples/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
+    <Project Path="samples/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
   </Folder>
-  <Folder Name="/Samples/04-hosting/DurableAgents/ConsoleApps/">
-    <File Path="samples/04-hosting/DurableAgents/ConsoleApps/README.md" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/01_SingleAgent/01_SingleAgent.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/06_LongRunningTools/06_LongRunningTools.csproj" />
-    <Project Path="samples/04-hosting/DurableAgents/ConsoleApps/07_ReliableStreaming/07_ReliableStreaming.csproj" />
-  </Folder>
-  <Folder Name="/Samples/04-hosting/A2A/">
-    <File Path="samples/04-hosting/A2A/README.md" />
-    <Project Path="samples/04-hosting/A2A/A2AAgent_AsFunctionTools/A2AAgent_AsFunctionTools.csproj" />
-    <Project Path="samples/04-hosting/A2A/A2AAgent_PollingForTaskCompletion/A2AAgent_PollingForTaskCompletion.csproj" />
-  </Folder>  
-  <Folder Name="/Samples/05-end-to-end/">
-    <Project Path="samples/05-end-to-end/AgentWithPurview/AgentWithPurview.csproj" />
-    <Project Path="samples/05-end-to-end/M365Agent/M365Agent.csproj" />
-  </Folder>
-  <Folder Name="/Samples/05-end-to-end/A2AClientServer/">
-    <File Path="samples/05-end-to-end/A2AClientServer/README.md" />
-    <Project Path="samples/05-end-to-end/A2AClientServer/A2AClient/A2AClient.csproj" />
-    <Project Path="samples/05-end-to-end/A2AClientServer/A2AServer/A2AServer.csproj" />
-  </Folder>
-  <Folder Name="/Samples/05-end-to-end/AgentWebChat/">
-    <Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.AgentHost/AgentWebChat.AgentHost.csproj" />
-    <Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.AppHost/AgentWebChat.AppHost.csproj" />
-    <Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.ServiceDefaults/AgentWebChat.ServiceDefaults.csproj" />
-    <Project Path="samples/05-end-to-end/AgentWebChat/AgentWebChat.Web/AgentWebChat.Web.csproj" />
-  </Folder>
-  <Folder Name="/Samples/05-end-to-end/AGUIClientServer/">
-    <File Path="samples/05-end-to-end/AGUIClientServer/README.md" />
-    <Project Path="samples/05-end-to-end/AGUIClientServer/AGUIClient/AGUIClient.csproj" />
-    <Project Path="samples/05-end-to-end/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj" />
-    <Project Path="samples/05-end-to-end/AGUIClientServer/AGUIServer/AGUIServer.csproj" />
-  </Folder>
-  <Folder Name="/Samples/05-end-to-end/HostedAgents/">
-    <Project Path="samples/05-end-to-end/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj" />
-    <Project Path="samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
-    <Project Path="samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
+  <Folder Name="/Samples/M365Agent/">
+    <Project Path="samples/M365Agent/M365Agent.csproj" />
   </Folder>
   <Folder Name="/Solution Items/">
     <File Path=".editorconfig" />
@@ -415,6 +405,7 @@
     <Project Path="src/Microsoft.Agents.AI.Abstractions/Microsoft.Agents.AI.Abstractions.csproj" />
     <Project Path="src/Microsoft.Agents.AI.AGUI/Microsoft.Agents.AI.AGUI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Anthropic/Microsoft.Agents.AI.Anthropic.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
     <Project Path="src/Microsoft.Agents.AI.AzureAI.Persistent/Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
     <Project Path="src/Microsoft.Agents.AI.AzureAI/Microsoft.Agents.AI.AzureAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.CopilotStudio/Microsoft.Agents.AI.CopilotStudio.csproj" />
@@ -422,21 +413,19 @@
     <Project Path="src/Microsoft.Agents.AI.Declarative/Microsoft.Agents.AI.Declarative.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.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.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.FoundryMemory/Microsoft.Agents.AI.FoundryMemory.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.Purview/Microsoft.Agents.AI.Purview.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.AzureAI/Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
-    <Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
     <Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
   </Folder>
   <Folder Name="/Tests/" />
@@ -446,12 +435,11 @@
     <Project Path="tests/AzureAI.IntegrationTests/AzureAI.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.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.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.FoundryMemory.IntegrationTests/Microsoft.Agents.AI.FoundryMemory.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" />
@@ -462,19 +450,18 @@
     <Project Path="tests/Microsoft.Agents.AI.Abstractions.UnitTests/Microsoft.Agents.AI.Abstractions.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.AGUI.UnitTests/Microsoft.Agents.AI.AGUI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Anthropic.UnitTests/Microsoft.Agents.AI.Anthropic.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.AzureAI.UnitTests/Microsoft.Agents.AI.AzureAI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/Microsoft.Agents.AI.CosmosNoSql.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Declarative.UnitTests/Microsoft.Agents.AI.Declarative.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.DevUI.UnitTests/Microsoft.Agents.AI.DevUI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.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.FoundryMemory.UnitTests/Microsoft.Agents.AI.FoundryMemory.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.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />

dotnet/nuget/nuget-package.props

@@ -2,11 +2,9 @@
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
     <VersionPrefix>1.0.0</VersionPrefix>
-    <RCNumber>1</RCNumber>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260219.1</PackageVersion>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260219.1</PackageVersion>
-    <GitTag>1.0.0-rc1</GitTag>
+    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260212.1</PackageVersion>
+    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260212.1</PackageVersion>
+    <GitTag>1.0.0-preview.260212.1</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Agent_Step01_BasicSkills.csproj

@@ -1,28 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);MAAI001</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
-  </ItemGroup>
-
-  <!-- Copy skills directory to output -->
-  <ItemGroup>
-    <None Include="skills\**\*.*">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Program.cs

@@ -1,49 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates how to use Agent Skills with a ChatClientAgent.
-// Agent Skills are modular packages of instructions and resources that extend an agent's capabilities.
-// Skills follow the progressive disclosure pattern: advertise -> load -> read resources.
-//
-// This sample includes the expense-report skill:
-//   - Policy-based expense filing with references and assets
-
-using Azure.AI.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using OpenAI.Responses;
-
-// --- Configuration ---
-string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
-    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-
-// --- Skills Provider ---
-// Discovers skills from the 'skills' directory and makes them available to the agent
-var skillsProvider = new FileAgentSkillsProvider(skillPath: Path.Combine(AppContext.BaseDirectory, "skills"));
-
-// --- Agent Setup ---
-AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
-    .GetResponsesClient(deploymentName)
-    .AsAIAgent(new ChatClientAgentOptions
-    {
-        Name = "SkillsAgent",
-        ChatOptions = new()
-        {
-            Instructions = "You are a helpful assistant.",
-        },
-        AIContextProviders = [skillsProvider],
-    });
-
-// --- Example 1: Expense policy question (loads FAQ resource) ---
-Console.WriteLine("Example 1: Checking expense policy FAQ");
-Console.WriteLine("---------------------------------------");
-AgentResponse response1 = await agent.RunAsync("Are tips reimbursable? I left a 25% tip on a taxi ride and want to know if that's covered.");
-Console.WriteLine($"Agent: {response1.Text}\n");
-
-// --- Example 2: Filing an expense report (multi-turn with template asset) ---
-Console.WriteLine("Example 2: Filing an expense report");
-Console.WriteLine("---------------------------------------");
-AgentSession session = await agent.CreateSessionAsync();
-AgentResponse response2 = await agent.RunAsync("I had 3 client dinners and a $1,200 flight last week. Return a draft expense report and ask about any missing details.",
-    session);
-Console.WriteLine($"Agent: {response2.Text}\n");

dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/README.md

@@ -1,63 +0,0 @@
-# Agent Skills Sample
-
-This sample demonstrates how to use **Agent Skills** with a `ChatClientAgent` in the Microsoft Agent Framework.
-
-## What are Agent Skills?
-
-Agent Skills are modular packages of instructions and resources that enable AI agents to perform specialized tasks. They follow the [Agent Skills specification](https://agentskills.io/) and implement the progressive disclosure pattern:
-
-1. **Advertise**: Skills are advertised with name + description (~100 tokens per skill)
-2. **Load**: Full instructions are loaded on-demand via `load_skill` tool
-3. **Resources**: References and other files loaded via `read_skill_resource` tool
-
-## Skills Included
-
-### expense-report
-Policy-based expense filing with spending limits, receipt requirements, and approval workflows.
-- `references/POLICY_FAQ.md` — Detailed expense policy Q&A
-- `assets/expense-report-template.md` — Submission template
-
-## Project Structure
-
-```
-Agent_Step01_BasicSkills/
-├── Program.cs
-├── Agent_Step01_BasicSkills.csproj
-└── skills/
-    └── expense-report/
-        ├── SKILL.md
-        ├── references/
-        │   └── POLICY_FAQ.md
-        └── assets/
-            └── expense-report-template.md
-```
-
-## Running the Sample
-
-### Prerequisites
-- .NET 10.0 SDK
-- Azure OpenAI endpoint with a deployed model
-
-### Setup
-1. Set environment variables:
-   ```bash
-   export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
-   export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
-   ```
-
-2. Run the sample:
-   ```bash
-   dotnet run
-   ```
-
-### Examples
-
-The sample runs two examples:
-
-1. **Expense policy FAQ** — Asks about tip reimbursement; the agent loads the expense-report skill and reads the FAQ resource
-2. **Filing an expense report** — Multi-turn conversation to draft an expense report using the template asset
-
-## Learn More
-
-- [Agent Skills Specification](https://agentskills.io/)
-- [Microsoft Agent Framework Documentation](../../../../../docs/)

dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/skills/expense-report/SKILL.md

@@ -1,40 +0,0 @@
----
-name: expense-report
-description: File and validate employee expense reports according to Contoso company policy. Use when asked about expense submissions, reimbursement rules, receipt requirements, spending limits, or expense categories.
-metadata:
-  author: contoso-finance
-  version: "2.1"
----
-
-# Expense Report
-
-## Categories and Limits
-
-| Category | Limit | Receipt | Approval |
-|---|---|---|---|
-| Meals — solo | $50/day | >$25 | No |
-| Meals — team/client | $75/person | Always | Manager if >$200 total |
-| Lodging | $250/night | Always | Manager if >3 nights |
-| Ground transport | $100/day | >$15 | No |
-| Airfare | Economy | Always | Manager; VP if >$1,500 |
-| Conference/training | $2,000/event | Always | Manager + L&D |
-| Office supplies | $100 | Yes | No |
-| Software/subscriptions | $50/month | Yes | Manager if >$200/year |
-
-## Filing Process
-
-1. Collect receipts — must show vendor, date, amount, payment method.
-2. Categorize per table above.
-3. Use template: [assets/expense-report-template.md](assets/expense-report-template.md).
-4. For client/team meals: list attendee names and business purpose.
-5. Submit — auto-approved if <$500; manager if $500–$2,000; VP if >$2,000.
-6. Reimbursement: 10 business days via direct deposit.
-
-## Policy Rules
-
-- Submit within 30 days of transaction.
-- Alcohol is never reimbursable.
-- Foreign currency: convert to USD at transaction-date rate; note original currency and amount.
-- Mixed personal/business travel: only business portion reimbursable; provide comparison quotes.
-- Lost receipts (>$25): file Lost Receipt Affidavit from Finance. Max 2 per quarter.
-- For policy questions not covered above, consult the FAQ: [references/POLICY_FAQ.md](references/POLICY_FAQ.md). Answers should be based on what this document and the FAQ state.

dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/skills/expense-report/assets/expense-report-template.md

@@ -1,5 +0,0 @@
-# Expense Report Template
-
-| Date | Category | Vendor | Description | Amount (USD) | Original Currency | Original Amount | Attendees | Business Purpose | Receipt Attached |
-|------|----------|--------|-------------|--------------|-------------------|-----------------|-----------|------------------|------------------|
-|      |          |        |             |              |                   |                 |           |                  | Yes or No        |

dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/skills/expense-report/references/POLICY_FAQ.md

@@ -1,55 +0,0 @@
-# Expense Policy — Frequently Asked Questions
-
-## Meals
-
-**Q: Can I expense coffee or snacks during the workday?**
-A: Daily coffee/snacks under $10 are not reimbursable (considered personal). Coffee purchased during a client meeting or team working session is reimbursable as a team meal.
-
-**Q: What if a team dinner exceeds the per-person limit?**
-A: The $75/person limit applies as a guideline. Overages up to 20% are accepted with a written justification (e.g., "client dinner at venue chosen by client"). Overages beyond 20% require pre-approval from your VP.
-
-**Q: Do I need to list every attendee?**
-A: Yes. For client meals, list the client's name and company. For team meals, list all employee names. For groups over 10, you may attach a separate attendee list.
-
-## Travel
-
-**Q: Can I book a premium economy or business class flight?**
-A: Economy class is the standard. Premium economy is allowed for flights over 6 hours. Business class requires VP pre-approval and is generally reserved for flights over 10 hours or medical accommodation.
-
-**Q: What about ride-sharing (Uber/Lyft) vs. rental cars?**
-A: Use ride-sharing for trips under 30 miles round-trip. Rent a car for multi-day travel or when ride-sharing would exceed $100/day. Always choose the compact/standard category unless traveling with 3+ people.
-
-**Q: Are tips reimbursable?**
-A: Tips up to 20% are reimbursable for meals, taxi/ride-share, and hotel housekeeping. Tips above 20% require justification.
-
-## Lodging
-
-**Q: What if the $250/night limit isn't enough for the city I'm visiting?**
-A: For high-cost cities (New York, San Francisco, London, Tokyo, Sydney), the limit is automatically increased to $350/night. No additional approval is needed. For other locations where rates are unusually high (e.g., during a major conference), request a per-trip exception from your manager before booking.
-
-**Q: Can I stay with friends/family instead and get a per-diem?**
-A: No. Contoso reimburses actual lodging costs only, not per-diems.
-
-## Subscriptions and Software
-
-**Q: Can I expense a personal productivity tool?**
-A: Software must be directly related to your job function. Tools like IDE licenses, design software, or project management apps are reimbursable. General productivity apps (note-taking, personal calendar) are not, unless your manager confirms a business need in writing.
-
-**Q: What about annual subscriptions?**
-A: Annual subscriptions over $200 require manager approval before purchase. Submit the approval email with your expense report.
-
-## Receipts and Documentation
-
-**Q: My receipt is faded/damaged. What do I do?**
-A: Try to obtain a duplicate from the vendor. If not possible, submit a Lost Receipt Affidavit (available from the Finance SharePoint site). You're limited to 2 affidavits per quarter.
-
-**Q: Do I need a receipt for parking meters or tolls?**
-A: For amounts under $15, no receipt is required — just note the date, location, and amount. For $15 and above, a receipt or bank/credit card statement excerpt is required.
-
-## Approval and Reimbursement
-
-**Q: My manager is on leave. Who approves my report?**
-A: Expense reports can be approved by your skip-level manager or any manager designated as an alternate approver in the expense system.
-
-**Q: Can I submit expenses from a previous quarter?**
-A: The standard 30-day window applies. Expenses older than 30 days require a written explanation and VP approval. Expenses older than 90 days are not reimbursable except in extraordinary circumstances (extended leave, medical emergency) with CFO approval.

dotnet/samples/02-agents/AgentSkills/README.md

@@ -1,7 +0,0 @@
-# AgentSkills Samples
-
-Samples demonstrating Agent Skills capabilities.
-
-| Sample | Description |
-|--------|-------------|
-| [Agent_Step01_BasicSkills](Agent_Step01_BasicSkills/) | Using Agent Skills with a ChatClientAgent, including progressive disclosure and skill resources |

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/AgentWithMemory_Step04_MemoryUsingFoundry.csproj

@@ -1,21 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Identity" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.FoundryMemory\Microsoft.Agents.AI.FoundryMemory.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs

@@ -1,77 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to use the FoundryMemoryProvider to persist and recall memories for an agent.
-// The sample stores conversation messages in an Azure AI Foundry memory store and retrieves relevant
-// memories for subsequent invocations, even across new sessions.
-//
-// Note: Memory extraction in Azure AI Foundry is asynchronous and takes time. This sample demonstrates
-// a simple polling approach to wait for memory updates to complete before querying.
-
-using System.Text.Json;
-using Azure.AI.Projects;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.FoundryMemory;
-
-string foundryEndpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
-string memoryStoreName = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_MEMORY_STORE_NAME") ?? "memory-store-sample";
-string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_MODEL") ?? "gpt-4o-mini";
-string embeddingModelName = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_EMBEDDING_MODEL") ?? "text-embedding-ada-002";
-
-// Create an AIProjectClient for Foundry with Azure Identity authentication.
-DefaultAzureCredential credential = new();
-AIProjectClient projectClient = new(new Uri(foundryEndpoint), credential);
-
-// Get the ChatClient from the AIProjectClient's OpenAI property using the deployment name.
-// The stateInitializer can be used to customize the Foundry Memory scope per session and it will be called each time a session
-// is encountered by the FoundryMemoryProvider that does not already have state stored on the session.
-// If each session should have its own scope, you can create a new id per session via the stateInitializer, e.g.:
-// new FoundryMemoryProvider(projectClient, memoryStoreName, stateInitializer: _ => new(new FoundryMemoryProviderScope(Guid.NewGuid().ToString())), ...)
-// In our case we are storing memories scoped by user so that memories are retained across sessions.
-FoundryMemoryProvider memoryProvider = new(
-    projectClient,
-    memoryStoreName,
-    stateInitializer: _ => new(new FoundryMemoryProviderScope("sample-user-123")));
-
-AIAgent agent = await projectClient.CreateAIAgentAsync(deploymentName,
-    options: new ChatClientAgentOptions()
-    {
-        Name = "TravelAssistantWithFoundryMemory",
-        ChatOptions = new() { Instructions = "You are a friendly travel assistant. Use known memories about the user when responding, and do not invent details." },
-        AIContextProviders = [memoryProvider]
-    });
-
-AgentSession session = await agent.CreateSessionAsync();
-
-Console.WriteLine("\n>> Setting up Foundry Memory Store\n");
-
-// Ensure the memory store exists (creates it with the specified models if needed).
-await memoryProvider.EnsureMemoryStoreCreatedAsync(deploymentName, embeddingModelName, "Sample memory store for travel assistant");
-
-// Clear any existing memories for this scope to demonstrate fresh behavior.
-await memoryProvider.EnsureStoredMemoriesDeletedAsync(session);
-
-Console.WriteLine(await agent.RunAsync("Hi there! My name is Taylor and I'm planning a hiking trip to Patagonia in November.", session));
-Console.WriteLine(await agent.RunAsync("I'm travelling with my sister and we love finding scenic viewpoints.", session));
-
-// Memory extraction in Azure AI Foundry is asynchronous and takes time to process.
-// WhenUpdatesCompletedAsync polls all pending updates and waits for them to complete.
-Console.WriteLine("\nWaiting for Foundry Memory to process updates...");
-await memoryProvider.WhenUpdatesCompletedAsync();
-
-Console.WriteLine("Updates completed.\n");
-
-Console.WriteLine(await agent.RunAsync("What do you already know about my upcoming trip?", session));
-
-Console.WriteLine("\n>> Serialize and deserialize the session to demonstrate persisted state\n");
-JsonElement serializedSession = await agent.SerializeSessionAsync(session);
-AgentSession restoredSession = await agent.DeserializeSessionAsync(serializedSession);
-Console.WriteLine(await agent.RunAsync("Can you recap the personal details you remember?", restoredSession));
-
-Console.WriteLine("\n>> Start a new session that shares the same Foundry Memory scope\n");
-
-Console.WriteLine("\nWaiting for Foundry Memory to process updates...");
-await memoryProvider.WhenUpdatesCompletedAsync();
-
-AgentSession newSession = await agent.CreateSessionAsync();
-Console.WriteLine(await agent.RunAsync("Summarize what you already know about me.", newSession));

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/README.md

@@ -1,57 +0,0 @@
-# Agent with Memory Using Azure AI Foundry
-
-This sample demonstrates how to create and run an agent that uses Azure AI Foundry's managed memory service to extract and retrieve individual memories across sessions.
-
-## Features Demonstrated
-
-- Creating a `FoundryMemoryProvider` with Azure Identity authentication
-- Automatic memory store creation if it doesn't exist
-- Multi-turn conversations with automatic memory extraction
-- Memory retrieval to inform agent responses
-- Session serialization and deserialization
-- Memory persistence across completely new sessions
-
-## Prerequisites
-
-1. Azure subscription with Azure AI Foundry project
-2. Azure OpenAI resource with a chat model deployment (e.g., gpt-4o-mini) and an embedding model deployment (e.g., text-embedding-ada-002)
-3. .NET 10.0 SDK
-4. Azure CLI logged in (`az login`)
-
-## Environment Variables
-
-```bash
-# Azure AI Foundry project endpoint and memory store name
-export FOUNDRY_PROJECT_ENDPOINT="https://your-account.services.ai.azure.com/api/projects/your-project"
-export FOUNDRY_PROJECT_MEMORY_STORE_NAME="my_memory_store"
-
-# Model deployment names (models deployed in your Foundry project)
-export FOUNDRY_PROJECT_MODEL="gpt-4o-mini"
-export FOUNDRY_PROJECT_EMBEDDING_MODEL="text-embedding-ada-002"
-```
-
-## Run the Sample
-
-```bash
-dotnet run
-```
-
-## Expected Output
-
-The agent will:
-1. Create the memory store if it doesn't exist (using the specified chat and embedding models)
-2. Learn your name (Taylor), travel destination (Patagonia), timing (November), companions (sister), and interests (scenic viewpoints)
-3. Wait for Foundry Memory to index the memories
-4. Recall those details when asked about the trip
-5. Demonstrate memory persistence across session serialization/deserialization
-6. Show that a brand new session can still access the same memories
-
-## Key Differences from Mem0
-
-| Aspect | Mem0 | Azure AI Foundry Memory |
-|--------|------|------------------------|
-| Authentication | API Key | Azure Identity (DefaultAzureCredential) |
-| Scope | ApplicationId, UserId, AgentId, ThreadId | Single `Scope` string |
-| Memory Types | Single memory store | User Profile + Chat Summary |
-| Hosting | Mem0 cloud or self-hosted | Azure AI Foundry managed service |
-| Store Creation | N/A (automatic) | Explicit via `EnsureMemoryStoreCreatedAsync` |

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/Program.cs

@@ -1,100 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates how to use Azure AI Foundry's Red Teaming service to assess
-// the safety and resilience of an AI model against adversarial attacks.
-//
-// It uses the RedTeam API from Azure.AI.Projects to run automated attack simulations
-// with various attack strategies (encoding, obfuscation, jailbreaks) across multiple
-// risk categories (Violence, HateUnfairness, Sexual, SelfHarm).
-//
-// For more details, see:
-// https://learn.microsoft.com/azure/ai-foundry/concepts/ai-red-teaming-agent
-
-using Azure.AI.Projects;
-using Azure.Identity;
-
-string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-
-Console.WriteLine("=" + new string('=', 79));
-Console.WriteLine("RED TEAMING EVALUATION SAMPLE");
-Console.WriteLine("=" + new string('=', 79));
-Console.WriteLine();
-
-// Initialize Azure credentials and clients
-// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-DefaultAzureCredential credential = new();
-AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
-
-// Configure the target model for red teaming
-AzureOpenAIModelConfiguration targetConfig = new(deploymentName);
-
-// Create the red team run configuration
-RedTeam redTeamConfig = new(targetConfig)
-{
-    DisplayName = "FinancialAdvisor-RedTeam",
-    ApplicationScenario = "A financial advisor assistant that provides general financial advice and information.",
-    NumTurns = 3,
-    RiskCategories =
-    {
-        RiskCategory.Violence,
-        RiskCategory.HateUnfairness,
-        RiskCategory.Sexual,
-        RiskCategory.SelfHarm,
-    },
-    AttackStrategies =
-    {
-        AttackStrategy.Easy,
-        AttackStrategy.Moderate,
-        AttackStrategy.Jailbreak,
-    },
-};
-
-Console.WriteLine($"Target model: {deploymentName}");
-Console.WriteLine("Risk categories: Violence, HateUnfairness, Sexual, SelfHarm");
-Console.WriteLine("Attack strategies: Easy, Moderate, Jailbreak");
-Console.WriteLine($"Simulation turns: {redTeamConfig.NumTurns}");
-Console.WriteLine();
-
-// Submit the red team run to the service
-Console.WriteLine("Submitting red team run...");
-RedTeam redTeamRun = await aiProjectClient.RedTeams.CreateAsync(redTeamConfig);
-
-Console.WriteLine($"Red team run created: {redTeamRun.Name}");
-Console.WriteLine($"Status: {redTeamRun.Status}");
-Console.WriteLine();
-
-// Poll for completion
-Console.WriteLine("Waiting for red team run to complete (this may take several minutes)...");
-while (redTeamRun.Status != "Completed" && redTeamRun.Status != "Failed" && redTeamRun.Status != "Canceled")
-{
-    await Task.Delay(TimeSpan.FromSeconds(15));
-    redTeamRun = await aiProjectClient.RedTeams.GetAsync(redTeamRun.Name);
-    Console.WriteLine($"  Status: {redTeamRun.Status}");
-}
-
-Console.WriteLine();
-
-if (redTeamRun.Status == "Completed")
-{
-    Console.WriteLine("Red team run completed successfully!");
-    Console.WriteLine();
-    Console.WriteLine("Results:");
-    Console.WriteLine(new string('-', 80));
-    Console.WriteLine($"  Run name:    {redTeamRun.Name}");
-    Console.WriteLine($"  Display name: {redTeamRun.DisplayName}");
-    Console.WriteLine($"  Status:      {redTeamRun.Status}");
-
-    Console.WriteLine();
-    Console.WriteLine("Review the detailed results in the Azure AI Foundry portal:");
-    Console.WriteLine($"  {endpoint}");
-}
-else
-{
-    Console.WriteLine($"Red team run ended with status: {redTeamRun.Status}");
-}
-
-Console.WriteLine();
-Console.WriteLine(new string('=', 80));

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/README.md

@@ -1,101 +0,0 @@
-# Red Teaming with Azure AI Foundry (Classic)
-
-> [!IMPORTANT]
-> This sample uses the **classic Azure AI Foundry** red teaming API (`/redTeams/runs`) via `Azure.AI.Projects`. Results are viewable in the classic Foundry portal experience. The **new Foundry** portal's red teaming feature uses a different evaluation-based API that is not yet available in the .NET SDK.
-
-This sample demonstrates how to use Azure AI Foundry's Red Teaming service to assess the safety and resilience of an AI model against adversarial attacks.
-
-## What this sample demonstrates
-
-- Configuring a red team run targeting an Azure OpenAI model deployment
-- Using multiple `AttackStrategy` options (Easy, Moderate, Jailbreak)
-- Evaluating across `RiskCategory` categories (Violence, HateUnfairness, Sexual, SelfHarm)
-- Submitting a red team scan and polling for completion
-- Reviewing results in the Azure AI Foundry portal
-
-## Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- Azure AI Foundry project (hub and project created)
-- Azure OpenAI deployment (e.g., gpt-4o or gpt-4o-mini)
-- Azure CLI installed and authenticated (for Azure credential authentication)
-
-### Regional Requirements
-
-Red teaming is only available in regions that support risk and safety evaluators:
-- **East US 2**, **Sweden Central**, **US North Central**, **France Central**, **Switzerland West**
-
-### Environment Variables
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/api/projects/your-project" # Replace with your Azure Foundry project endpoint
-$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
-```
-
-## Run the sample
-
-Navigate to the sample directory and run:
-
-```powershell
-cd dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming
-dotnet run
-```
-
-## Expected behavior
-
-The sample will:
-
-1. Configure a `RedTeam` run targeting the specified model deployment
-2. Define risk categories and attack strategies
-3. Submit the scan to Azure AI Foundry's Red Teaming service
-4. Poll for completion (this may take several minutes)
-5. Display the run status and direct you to the Azure AI Foundry portal for detailed results
-
-## Understanding Red Teaming
-
-### Attack Strategies
-
-| Strategy | Description |
-|----------|-------------|
-| Easy | Simple encoding/obfuscation attacks (ROT13, Leetspeak, etc.) |
-| Moderate | Moderate complexity attacks requiring an LLM for orchestration |
-| Jailbreak | Crafted prompts designed to bypass AI safeguards (UPIA) |
-
-### Risk Categories
-
-| Category | Description |
-|----------|-------------|
-| Violence | Content related to violence |
-| HateUnfairness | Hate speech or unfair content |
-| Sexual | Sexual content |
-| SelfHarm | Self-harm related content |
-
-### Interpreting Results
-
-- Results are available in the Azure AI Foundry portal (**classic view** — toggle at top-right) under the red teaming section
-- Lower Attack Success Rate (ASR) is better — target ASR < 5% for production
-- Review individual attack conversations to understand vulnerabilities
-
-### Current Limitations
-
-> [!NOTE]
-> - The .NET Red Teaming API (`Azure.AI.Projects`) currently supports targeting **model deployments only** via `AzureOpenAIModelConfiguration`. The `AzureAIAgentTarget` type exists in the SDK but is consumed by the **Evaluation Taxonomy** API (`/evaluationtaxonomies`), not by the Red Teaming API (`/redTeams/runs`).
-> - Agent-targeted red teaming with agent-specific risk categories (Prohibited actions, Sensitive data leakage, Task adherence) is documented in the [concept docs](https://learn.microsoft.com/azure/ai-foundry/concepts/ai-red-teaming-agent) but is not yet available via the public REST API or .NET SDK.
-> - Results from this API appear in the **classic** Azure AI Foundry portal view. The new Foundry portal uses a separate evaluation-based system with `eval_*` identifiers.
-
-## Related Resources
-
-- [Azure AI Red Teaming Agent](https://learn.microsoft.com/azure/ai-foundry/concepts/ai-red-teaming-agent)
-- [RedTeam .NET API Reference](https://learn.microsoft.com/dotnet/api/azure.ai.projects.redteam?view=azure-dotnet-preview)
-- [Risk and Safety Evaluations](https://learn.microsoft.com/azure/ai-foundry/concepts/evaluation-metrics-built-in#risk-and-safety-evaluators)
-
-## Next Steps
-
-After running red teaming:
-1. Review attack results and strengthen agent guardrails
-2. Explore the Self-Reflection sample (FoundryAgents_Evaluations_Step02_SelfReflection) for quality assessment
-3. Set up continuous red teaming in your CI/CD pipeline

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection/FoundryAgents_Evaluations_Step02_SelfReflection.csproj

@@ -1,25 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.Evaluation" />
-    <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Quality" />
-    <PackageReference Include="Microsoft.Extensions.AI.Evaluation.Safety" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection/Program.cs

@@ -1,292 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates how to use Microsoft.Extensions.AI.Evaluation.Quality to evaluate
-// an Agent Framework agent's response quality with a self-reflection loop.
-//
-// It uses GroundednessEvaluator, RelevanceEvaluator, and CoherenceEvaluator to score responses,
-// then iteratively asks the agent to improve based on evaluation feedback.
-//
-// Based on: Reflexion: Language Agents with Verbal Reinforcement Learning (NeurIPS 2023)
-// Reference: https://arxiv.org/abs/2303.11366
-//
-// For more details, see:
-// https://learn.microsoft.com/dotnet/ai/evaluation/libraries
-
-using Azure.AI.OpenAI;
-using Azure.AI.Projects;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-using Microsoft.Extensions.AI.Evaluation;
-using Microsoft.Extensions.AI.Evaluation.Quality;
-using Microsoft.Extensions.AI.Evaluation.Safety;
-
-using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
-using ChatRole = Microsoft.Extensions.AI.ChatRole;
-
-string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-string openAiEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string evaluatorDeploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? deploymentName;
-
-Console.WriteLine("=" + new string('=', 79));
-Console.WriteLine("SELF-REFLECTION EVALUATION SAMPLE");
-Console.WriteLine("=" + new string('=', 79));
-Console.WriteLine();
-
-// Initialize Azure credentials and client
-// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-DefaultAzureCredential credential = new();
-AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
-
-// Set up the LLM-based chat client for quality evaluators
-IChatClient chatClient = new AzureOpenAIClient(new Uri(openAiEndpoint), credential)
-    .GetChatClient(evaluatorDeploymentName)
-    .AsIChatClient();
-
-// Configure evaluation: quality evaluators use the LLM, safety evaluators use Azure AI Foundry
-ContentSafetyServiceConfiguration safetyConfig = new(
-    credential: credential,
-    endpoint: new Uri(endpoint));
-
-ChatConfiguration chatConfiguration = safetyConfig.ToChatConfiguration(
-    originalChatConfiguration: new ChatConfiguration(chatClient));
-
-// Create a test agent
-AIAgent agent = await aiProjectClient.CreateAIAgentAsync(
-    name: "KnowledgeAgent",
-    model: deploymentName,
-    instructions: "You are a helpful assistant. Answer questions accurately based on the provided context.");
-Console.WriteLine($"Created agent: {agent.Name}");
-Console.WriteLine();
-
-// Example question and grounding context
-const string Question = """
-    What are the main benefits of using Azure AI Foundry for building AI applications?
-    """;
-
-const string Context = """
-    Azure AI Foundry is a comprehensive platform for building, deploying, and managing AI applications.
-    Key benefits include:
-    1. Unified development environment with support for multiple AI frameworks and models
-    2. Built-in safety and security features including content filtering and red teaming tools
-    3. Scalable infrastructure that handles deployment and monitoring automatically
-    4. Integration with Azure services like Azure OpenAI, Cognitive Services, and Machine Learning
-    5. Evaluation tools for assessing model quality, safety, and performance
-    6. Support for RAG (Retrieval-Augmented Generation) patterns with vector search
-    7. Enterprise-grade compliance and governance features
-    """;
-
-Console.WriteLine("Question:");
-Console.WriteLine(Question);
-Console.WriteLine();
-
-// Run evaluations
-try
-{
-    await RunSelfReflectionWithGroundedness(agent, Question, Context, chatConfiguration);
-    await RunQualityEvaluation(agent, Question, Context, chatConfiguration);
-    await RunCombinedQualityAndSafetyEvaluation(agent, Question, chatConfiguration);
-}
-finally
-{
-    // Cleanup
-    await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
-    Console.WriteLine();
-    Console.WriteLine("Cleanup: Agent deleted.");
-}
-
-// ============================================================================
-// Implementation Functions
-// ============================================================================
-
-static async Task RunSelfReflectionWithGroundedness(
-    AIAgent agent, string question, string context, ChatConfiguration chatConfiguration)
-{
-    Console.WriteLine("Running Self-Reflection with Groundedness Evaluation...");
-    Console.WriteLine();
-
-    GroundednessEvaluator groundednessEvaluator = new();
-    GroundednessEvaluatorContext groundingContext = new(context);
-
-    const int MaxReflections = 3;
-    double bestScore = 0;
-
-    string currentPrompt = $"Context: {context}\n\nQuestion: {question}";
-
-    for (int i = 0; i < MaxReflections; i++)
-    {
-        Console.WriteLine($"Iteration {i + 1}/{MaxReflections}:");
-        Console.WriteLine(new string('-', 40));
-
-        // Create a new session for each reflection iteration so that
-        // conversation context does not carry over between runs. This keeps
-        // each evaluation independent and avoids biasing groundedness scores.
-        AgentSession session = await agent.CreateSessionAsync();
-        AgentResponse agentResponse = await agent.RunAsync(currentPrompt, session);
-        string responseText = agentResponse.Text;
-
-        Console.WriteLine($"Response: {responseText[..Math.Min(150, responseText.Length)]}...");
-
-        List<ChatMessage> messages =
-        [
-            new(ChatRole.User, currentPrompt),
-        ];
-        ChatResponse chatResponse = new(new ChatMessage(ChatRole.Assistant, responseText));
-
-        EvaluationResult result = await groundednessEvaluator.EvaluateAsync(
-            messages,
-            chatResponse,
-            chatConfiguration,
-            additionalContext: [groundingContext]);
-
-        NumericMetric groundedness = result.Get<NumericMetric>(GroundednessEvaluator.GroundednessMetricName);
-        double score = groundedness.Value ?? 0;
-        string rating = groundedness.Interpretation?.Rating.ToString() ?? "N/A";
-
-        Console.WriteLine($"Groundedness score: {score:F1}/5 (Rating: {rating})");
-        Console.WriteLine();
-
-        if (score > bestScore)
-        {
-            bestScore = score;
-        }
-
-        if (score >= 4.0 || i == MaxReflections - 1)
-        {
-            if (score >= 4.0)
-            {
-                Console.WriteLine("Good groundedness achieved!");
-            }
-
-            break;
-        }
-
-        // Ask for improvement in the next iteration, including the previous response
-        // so the LLM knows what to improve on (each iteration uses a new session).
-        currentPrompt = $"""
-            Context: {context}
-
-            Your previous answer scored {score}/5 on groundedness.
-            Your previous answer was:
-            {responseText}
-
-            Please improve your answer to be more grounded in the provided context.
-            Only include information that is directly supported by the context.
-
-            Question: {question}
-            """;
-        Console.WriteLine("Requesting improvement...");
-        Console.WriteLine();
-    }
-
-    Console.WriteLine($"Best groundedness score: {bestScore:F1}/5");
-    Console.WriteLine(new string('=', 80));
-    Console.WriteLine();
-}
-
-static async Task RunQualityEvaluation(
-    AIAgent agent, string question, string context, ChatConfiguration chatConfiguration)
-{
-    Console.WriteLine("Running Quality Evaluation (Relevance, Coherence, Groundedness)...");
-    Console.WriteLine();
-
-    IEvaluator[] evaluators =
-    [
-        new RelevanceEvaluator(),
-        new CoherenceEvaluator(),
-        new GroundednessEvaluator(),
-    ];
-
-    CompositeEvaluator compositeEvaluator = new(evaluators);
-    GroundednessEvaluatorContext groundingContext = new(context);
-
-    string prompt = $"Context: {context}\n\nQuestion: {question}";
-
-    AgentSession session = await agent.CreateSessionAsync();
-    AgentResponse agentResponse = await agent.RunAsync(prompt, session);
-    string responseText = agentResponse.Text;
-
-    Console.WriteLine($"Response: {responseText[..Math.Min(150, responseText.Length)]}...");
-    Console.WriteLine();
-
-    List<ChatMessage> messages =
-    [
-        new(ChatRole.User, prompt),
-    ];
-    ChatResponse chatResponse = new(new ChatMessage(ChatRole.Assistant, responseText));
-
-    EvaluationResult result = await compositeEvaluator.EvaluateAsync(
-        messages,
-        chatResponse,
-        chatConfiguration,
-        additionalContext: [groundingContext]);
-
-    foreach (EvaluationMetric metric in result.Metrics.Values)
-    {
-        if (metric is NumericMetric n)
-        {
-            string rating = n.Interpretation?.Rating.ToString() ?? "N/A";
-            Console.WriteLine($"  {n.Name,-20} Score: {n.Value:F1}/5  Rating: {rating}");
-        }
-    }
-
-    Console.WriteLine(new string('=', 80));
-    Console.WriteLine();
-}
-
-static async Task RunCombinedQualityAndSafetyEvaluation(
-    AIAgent agent, string question, ChatConfiguration chatConfiguration)
-{
-    Console.WriteLine("Running Combined Quality + Safety Evaluation...");
-    Console.WriteLine();
-
-    IEvaluator[] evaluators =
-    [
-        new RelevanceEvaluator(),
-        new CoherenceEvaluator(),
-        new ContentHarmEvaluator(),
-        new ProtectedMaterialEvaluator(),
-    ];
-
-    CompositeEvaluator compositeEvaluator = new(evaluators);
-
-    AgentSession session = await agent.CreateSessionAsync();
-    AgentResponse agentResponse = await agent.RunAsync(question, session);
-    string responseText = agentResponse.Text;
-
-    Console.WriteLine($"Response: {responseText[..Math.Min(150, responseText.Length)]}...");
-    Console.WriteLine();
-
-    List<ChatMessage> messages =
-    [
-        new(ChatRole.User, question), // No context in this evaluation — testing quality and safety on raw question
-    ];
-    ChatResponse chatResponse = new(new ChatMessage(ChatRole.Assistant, responseText));
-
-    EvaluationResult result = await compositeEvaluator.EvaluateAsync(
-        messages,
-        chatResponse,
-        chatConfiguration);
-
-    Console.WriteLine("Quality Metrics:");
-    foreach (EvaluationMetric metric in result.Metrics.Values)
-    {
-        if (metric is NumericMetric n)
-        {
-            string rating = n.Interpretation?.Rating.ToString() ?? "N/A";
-            bool failed = n.Interpretation?.Failed ?? false;
-            Console.WriteLine($"  {n.Name,-25} Score: {n.Value:F1,-6} Rating: {rating,-15} Failed: {failed}");
-        }
-        else if (metric is BooleanMetric b)
-        {
-            string rating = b.Interpretation?.Rating.ToString() ?? "N/A";
-            bool failed = b.Interpretation?.Failed ?? false;
-            Console.WriteLine($"  {b.Name,-25} Value: {b.Value,-6} Rating: {rating,-15} Failed: {failed}");
-        }
-    }
-
-    Console.WriteLine(new string('=', 80));
-}

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection/README.md

@@ -1,118 +0,0 @@
-# Self-Reflection Evaluation with Groundedness Assessment
-
-This sample demonstrates the self-reflection pattern using Agent Framework with `Microsoft.Extensions.AI.Evaluation.Quality` evaluators. The agent iteratively improves its responses based on real groundedness evaluation scores.
-
-For details on the self-reflection approach, see [Reflexion: Language Agents with Verbal Reinforcement Learning](https://arxiv.org/abs/2303.11366) (NeurIPS 2023).
-
-## What this sample demonstrates
-
-- Self-reflection loop that improves responses using real `GroundednessEvaluator` scores
-- Using `RelevanceEvaluator` and `CoherenceEvaluator` for multi-metric quality assessment
-- Combining quality and safety evaluators with `CompositeEvaluator`
-- Configuring `ContentSafetyServiceConfiguration` for safety evaluators alongside LLM-based quality evaluators
-- Tracking improvement across iterations
-
-## Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- Azure AI Foundry project (hub and project created)
-- Azure OpenAI deployment (e.g., gpt-4o or gpt-4o-mini)
-- Azure CLI installed and authenticated (for Azure credential authentication)
-
-**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
-
-### Azure Resources Required
-
-1. **Azure AI Hub and Project**: Create these in the Azure Portal
-   - Follow: https://learn.microsoft.com/azure/ai-foundry/how-to/create-projects
-2. **Azure OpenAI Deployment**: Deploy a model (e.g., gpt-4o or gpt-4o-mini)
-   - Agent model: Used to generate responses
-   - Evaluator model: Quality evaluators use an LLM; best results with GPT-4o
-3. **Azure CLI**: Install and authenticate with `az login`
-
-### Environment Variables
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-project.api.azureml.ms"  # Azure Foundry project endpoint
-$env:AZURE_OPENAI_ENDPOINT="https://your-openai.openai.azure.com/"         # Azure OpenAI endpoint (for quality evaluators)
-$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"                   # Model deployment name
-```
-
-**Note**: For best evaluation results, use GPT-4o or GPT-4o-mini as the evaluator model. The groundedness evaluator has been tested and tuned for these models.
-
-## Run the sample
-
-Navigate to the sample directory and run:
-
-```powershell
-cd dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection
-dotnet run
-```
-
-## Expected behavior
-
-The sample runs three evaluation scenarios:
-
-### 1. Self-Reflection with Groundedness
-- Asks a question with grounding context
-- Evaluates response groundedness using `GroundednessEvaluator`
-- If score is below 4/5, asks the agent to improve with feedback
-- Repeats up to 3 iterations
-- Tracks and reports the best score achieved
-
-### 2. Quality Evaluation
-- Evaluates a single response with multiple quality evaluators:
-  - `RelevanceEvaluator` — is the response relevant to the question?
-  - `CoherenceEvaluator` — is the response logically coherent?
-  - `GroundednessEvaluator` — is the response grounded in the provided context?
-
-### 3. Combined Quality + Safety Evaluation
-- Runs both quality and safety evaluators together:
-  - `RelevanceEvaluator`, `CoherenceEvaluator` (quality)
-  - `ContentHarmEvaluator` (safety — violence, hate, sexual, self-harm)
-  - `ProtectedMaterialEvaluator` (safety — copyrighted content detection)
-
-## Understanding the Evaluation
-
-### Groundedness Score (1-5 scale)
-
-The `GroundednessEvaluator` measures how well the agent's response is grounded in the provided context:
-
-- **5** = Excellent - Response is fully grounded in context
-- **4** = Good - Mostly grounded with minor deviations
-- **3** = Fair - Partially grounded but includes unsupported claims
-- **2** = Poor - Significant amount of ungrounded content
-- **1** = Very Poor - Response is largely unsupported by context
-
-### Self-Reflection Process
-
-1. **Initial Response**: Agent generates answer based on question + context
-2. **Evaluation**: `GroundednessEvaluator` scores the response (1-5)
-3. **Feedback**: If score < 4, agent receives the score and is asked to improve
-4. **Iteration**: Process repeats until good score or max iterations
-
-## Best Practices
-
-1. **Provide Complete Context**: Ensure grounding context contains all information needed to answer the question
-2. **Clear Instructions**: Give the agent clear instructions about staying grounded in context
-3. **Use Quality Models**: GPT-4o recommended for evaluation tasks
-4. **Multiple Evaluators**: Use combination of evaluators (groundedness + relevance + coherence)
-5. **Batch Processing**: For production, process multiple questions in batch
-
-## Related Resources
-
-- [Reflexion Paper (NeurIPS 2023)](https://arxiv.org/abs/2303.11366)
-- [Microsoft.Extensions.AI.Evaluation Libraries](https://learn.microsoft.com/dotnet/ai/evaluation/libraries)
-- [GroundednessEvaluator API Reference](https://learn.microsoft.com/dotnet/api/microsoft.extensions.ai.evaluation.quality.groundednessevaluator)
-- [Azure AI Foundry Evaluation Service](https://learn.microsoft.com/azure/ai-foundry/how-to/develop/evaluate-sdk)
-
-## Next Steps
-
-After running self-reflection evaluation:
-1. Implement similar patterns for other quality metrics (relevance, coherence, fluency)
-2. Integrate into CI/CD pipeline for continuous quality assurance
-3. Explore the Safety Evaluation sample (FoundryAgents_Evaluations_Step01_RedTeaming) for content safety assessment

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step18_FileSearch/FoundryAgents_Step18_FileSearch.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);CA1812</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Microsoft.Extensions.Logging.Console" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Azure.AI.Projects" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
-  </ItemGroup>
-  
-</Project>

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step18_FileSearch/Program.cs

@@ -1,111 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to use File Search Tool with AI Agents.
-
-using Azure.AI.Projects;
-using Azure.AI.Projects.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-using OpenAI.Assistants;
-using OpenAI.Files;
-using OpenAI.Responses;
-
-string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-
-const string AgentInstructions = "You are a helpful assistant that can search through uploaded files to answer questions.";
-
-// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
-// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
-var projectOpenAIClient = aiProjectClient.GetProjectOpenAIClient();
-var filesClient = projectOpenAIClient.GetProjectFilesClient();
-var vectorStoresClient = projectOpenAIClient.GetProjectVectorStoresClient();
-
-// 1. Create a temp file with test content and upload it.
-string searchFilePath = Path.Combine(Path.GetTempPath(), Path.GetRandomFileName() + "_lookup.txt");
-File.WriteAllText(
-    path: searchFilePath,
-    contents: """
-        Employee Directory:
-        - Alice Johnson, 28 years old, Software Engineer, Engineering Department
-        - Bob Smith, 35 years old, Sales Manager, Sales Department
-        - Carol Williams, 42 years old, HR Director, Human Resources Department
-        - David Brown, 31 years old, Customer Support Lead, Support Department
-        """
-);
-
-Console.WriteLine($"Uploading file: {searchFilePath}");
-OpenAIFile uploadedFile = filesClient.UploadFile(
-    filePath: searchFilePath,
-    purpose: FileUploadPurpose.Assistants
-);
-Console.WriteLine($"Uploaded file, file ID: {uploadedFile.Id}");
-
-// 2. Create a vector store with the uploaded file.
-var vectorStoreResult = await vectorStoresClient.CreateVectorStoreAsync(
-    options: new() { FileIds = { uploadedFile.Id }, Name = "EmployeeDirectory_VectorStore" }
-);
-string vectorStoreId = vectorStoreResult.Value.Id;
-Console.WriteLine($"Created vector store, vector store ID: {vectorStoreId}");
-
-AIAgent agent = await CreateAgentWithMEAI();
-// AIAgent agent = await CreateAgentWithNativeSDK();
-
-// Run the agent
-Console.WriteLine("\n--- Running File Search Agent ---");
-AgentResponse response = await agent.RunAsync("Who is the youngest employee?");
-Console.WriteLine($"Response: {response}");
-
-// Getting any file citation annotations generated by the tool
-foreach (AIAnnotation annotation in response.Messages.SelectMany(m => m.Contents).SelectMany(c => c.Annotations ?? []))
-{
-    if (annotation.RawRepresentation is TextAnnotationUpdate citationAnnotation)
-    {
-        Console.WriteLine($$"""
-            File Citation:
-              File Id: {{citationAnnotation.OutputFileId}}
-              Text to Replace: {{citationAnnotation.TextToReplace}}
-            """);
-    }
-}
-
-// Cleanup.
-Console.WriteLine("\n--- Cleanup ---");
-await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
-await vectorStoresClient.DeleteVectorStoreAsync(vectorStoreId);
-await filesClient.DeleteFileAsync(uploadedFile.Id);
-File.Delete(searchFilePath);
-Console.WriteLine("Cleanup completed successfully.");
-
-// --- Agent Creation Options ---
-
-#pragma warning disable CS8321 // Local function is declared but never used
-// Option 1 - Using HostedFileSearchTool (MEAI + AgentFramework)
-async Task<AIAgent> CreateAgentWithMEAI()
-{
-    return await aiProjectClient.CreateAIAgentAsync(
-        model: deploymentName,
-        name: "FileSearchAgent-MEAI",
-        instructions: AgentInstructions,
-        tools: [new HostedFileSearchTool() { Inputs = [new HostedVectorStoreContent(vectorStoreId)] }]);
-}
-
-// Option 2 - Using PromptAgentDefinition with ResponseTool.CreateFileSearchTool (Native SDK)
-async Task<AIAgent> CreateAgentWithNativeSDK()
-{
-    return await aiProjectClient.CreateAIAgentAsync(
-        name: "FileSearchAgent-NATIVE",
-        creationOptions: new AgentVersionCreationOptions(
-            new PromptAgentDefinition(model: deploymentName)
-            {
-                Instructions = AgentInstructions,
-                Tools = {
-                    ResponseTool.CreateFileSearchTool(vectorStoreIds: [vectorStoreId])
-                }
-            })
-    );
-}

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step18_FileSearch/README.md

@@ -1,52 +0,0 @@
-# Using File Search with AI Agents
-
-This sample demonstrates how to use the file search tool with AI agents. The file search tool allows agents to search through uploaded files stored in vector stores to answer user questions.
-
-## What this sample demonstrates
-
-- Uploading files and creating vector stores
-- Creating agents with file search capabilities
-- Using HostedFileSearchTool (MEAI abstraction)
-- Using native SDK file search tools (ResponseTool.CreateFileSearchTool)
-- Handling file citation annotations
-- Managing agent and resource lifecycle (creation and deletion)
-
-## Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- Azure Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
-
-**Note**: This demo uses `DefaultAzureCredential` for authentication. For local development, make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure Identity documentation](https://learn.microsoft.com/dotnet/api/azure.identity.defaultazurecredential).
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
-$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
-```
-
-## Run the sample
-
-Navigate to the FoundryAgents sample directory and run:
-
-```powershell
-cd dotnet/samples/02-agents/FoundryAgents
-dotnet run --project .\FoundryAgents_Step18_FileSearch
-```
-
-## Expected behavior
-
-The sample will:
-
-1. Create a temporary text file with employee directory information
-2. Upload the file to Azure Foundry
-3. Create a vector store with the uploaded file
-4. Create an agent with file search capabilities using one of:
-   - Option 1: Using HostedFileSearchTool (MEAI abstraction)
-   - Option 2: Using native SDK file search tools
-5. Run a query against the agent to search through the uploaded file
-6. Display file citation annotations from responses
-7. Clean up resources (agent, vector store, and uploaded file)

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step19_OpenAPITools/FoundryAgents_Step19_OpenAPITools.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);CA1812;CS8321</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Microsoft.Extensions.Logging.Console" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Azure.AI.Projects" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
-  </ItemGroup>
-  
-</Project>

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step19_OpenAPITools/Program.cs

@@ -1,116 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to use OpenAPI Tools with AI Agents.
-
-using Azure.AI.Projects;
-using Azure.AI.Projects.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using OpenAI.Responses;
-
-// Warning: DefaultAzureCredential is intended for simplicity in development. For production scenarios, consider using a more specific credential.
-string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-
-const string AgentInstructions = "You are a helpful assistant that can use the countries API to retrieve information about countries by their currency code.";
-
-// A simple OpenAPI specification for the REST Countries API
-const string CountriesOpenApiSpec = """
-{
-  "openapi": "3.1.0",
-  "info": {
-    "title": "REST Countries API",
-    "description": "Retrieve information about countries by currency code",
-    "version": "v3.1"
-  },
-  "servers": [
-    {
-      "url": "https://restcountries.com/v3.1"
-    }
-  ],
-  "paths": {
-    "/currency/{currency}": {
-      "get": {
-        "description": "Get countries that use a specific currency code (e.g., USD, EUR, GBP)",
-        "operationId": "GetCountriesByCurrency",
-        "parameters": [
-          {
-            "name": "currency",
-            "in": "path",
-            "description": "Currency code (e.g., USD, EUR, GBP)",
-            "required": true,
-            "schema": {
-              "type": "string"
-            }
-          }
-        ],
-        "responses": {
-          "200": {
-            "description": "Successful response with list of countries",
-            "content": {
-              "application/json": {
-                "schema": {
-                  "type": "array",
-                  "items": {
-                    "type": "object"
-                  }
-                }
-              }
-            }
-          },
-          "404": {
-            "description": "No countries found for the currency"
-          }
-        }
-      }
-    }
-  }
-}
-""";
-
-// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
-AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
-
-// Create the OpenAPI function definition
-var openApiFunction = new OpenAPIFunctionDefinition(
-    "get_countries",
-    BinaryData.FromString(CountriesOpenApiSpec),
-    new OpenAPIAnonymousAuthenticationDetails())
-{
-    Description = "Retrieve information about countries by currency code"
-};
-
-AIAgent agent = await CreateAgentWithMEAI();
-// AIAgent agent = await CreateAgentWithNativeSDK();
-
-// Run the agent with a question about countries
-Console.WriteLine(await agent.RunAsync("What countries use the Euro (EUR) as their currency? Please list them."));
-
-// Cleanup by deleting the agent
-await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
-
-// --- Agent Creation Options ---
-
-// Option 1 - Using AsAITool wrapping for OpenApiTool (MEAI + AgentFramework)
-async Task<AIAgent> CreateAgentWithMEAI()
-{
-    return await aiProjectClient.CreateAIAgentAsync(
-        model: deploymentName,
-        name: "OpenAPIToolsAgent-MEAI",
-        instructions: AgentInstructions,
-        tools: [((ResponseTool)AgentTool.CreateOpenApiTool(openApiFunction)).AsAITool()]);
-}
-
-// Option 2 - Using PromptAgentDefinition with AgentTool.CreateOpenApiTool (Native SDK)
-async Task<AIAgent> CreateAgentWithNativeSDK()
-{
-    return await aiProjectClient.CreateAIAgentAsync(
-        name: "OpenAPIToolsAgent-NATIVE",
-        creationOptions: new AgentVersionCreationOptions(
-            new PromptAgentDefinition(model: deploymentName)
-            {
-                Instructions = AgentInstructions,
-                Tools = { (ResponseTool)AgentTool.CreateOpenApiTool(openApiFunction) }
-            })
-    );
-}

dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step19_OpenAPITools/README.md

@@ -1,47 +0,0 @@
-# Using OpenAPI Tools with AI Agents
-
-This sample demonstrates how to use OpenAPI tools with AI agents. OpenAPI tools allow agents to call external REST APIs defined by OpenAPI specifications.
-
-## What this sample demonstrates
-
-- Creating agents with OpenAPI tool capabilities
-- Using AgentTool.CreateOpenApiTool with an embedded OpenAPI specification
-- Anonymous authentication for public APIs
-- Running an agent that can call external REST APIs
-- Managing agent lifecycle (creation and deletion)
-
-## Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- Azure Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
-
-**Note**: This demo uses `DefaultAzureCredential` for authentication, which supports multiple authentication methods including Azure CLI, managed identity, and more. Make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure Identity documentation](https://learn.microsoft.com/dotnet/api/azure.identity.defaultazurecredential).
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
-$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
-```
-
-## Run the sample
-
-Navigate to the FoundryAgents sample directory and run:
-
-```powershell
-cd dotnet/samples/02-agents/FoundryAgents
-dotnet run --project .\FoundryAgents_Step19_OpenAPITools
-```
-
-## Expected behavior
-
-The sample will:
-
-1. Create an agent with an OpenAPI tool configured to call the REST Countries API
-2. Ask the agent: "What countries use the Euro (EUR) as their currency?"
-3. The agent will use the OpenAPI tool to call the REST Countries API
-4. Display the response containing the list of countries that use EUR
-5. Clean up resources by deleting the agent

dotnet/samples/03-workflows/Agents/CustomAgentExecutors/CustomAgentExecutors.csproj

@@ -1,25 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Generators\Microsoft.Agents.AI.Workflows.Generators.csproj"
-                      OutputItemType="Analyzer"
-                      ReferenceOutputAssembly="false" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/Concurrent/Concurrent/Concurrent.csproj

@@ -1,27 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-    <!-- Include Workflows source generator when using [MessageHandler] attribute -->
-    <ProjectReference Include="$(RepoRoot)/dotnet/src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj"
-                      OutputItemType="Analyzer"
-                      ReferenceOutputAssembly="false"
-                      GlobalPropertiesToRemove="TargetFramework" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/Declarative/CustomerSupport/Properties/launchSettings.json

@@ -1,19 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Reboot": {
-      "commandName": "Project",
-      "commandLineArgs": "\"My PC keeps rebooting and I can't use it.\""
-    },
-    "License": {
-      "commandName": "Project",
-      "commandLineArgs": "\"My M365 Office license key isn't activating.\""
-    },
-    "Windows": {
-      "commandName": "Project",
-      "commandLineArgs": "\"How do I change my mouse speed settings?\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/DeepResearch/Properties/launchSettings.json

@@ -1,11 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Bus Stop": {
-      "commandName": "Project",
-      "commandLineArgs": "\"What is the closest bus-stop that is next to ISHONI YAKINIKU in Seattle?\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/ExecuteWorkflow/Properties/launchSettings.json

@@ -1,32 +0,0 @@
-{
-  "profiles": {
-    "Marketing": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Marketing.yaml\" \"An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours\""
-    },
-    "MathChat": {
-      "commandName": "Project",
-      "commandLineArgs": "\"MathChat.yaml\" \"How would you compute the value of PI?\""
-    },
-    "Question": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Question.yaml\" \"Iko\""
-    },
-    "Research": {
-      "commandName": "Project",
-      "commandLineArgs": "\"DeepResearch.yaml\" \"What is the closest bus-stop that is next to ISHONI YAKINIKU in Seattle?\""
-    },
-    "ResponseObject": {
-      "commandName": "Project",
-      "commandLineArgs": "\"ResponseObject.yaml\" \"Can you help me plan a trip somewhere soon?\""
-    },
-    "UserInput": {
-      "commandName": "Project",
-      "commandLineArgs": "\"UserInput.yaml\" \"Iko\""
-    },
-    "ParseValue": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Pradeep-ParseValue-Number.yaml\" \"Test this case:\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/FunctionTools/Properties/launchSettings.json

@@ -1,11 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Soup": {
-      "commandName": "Project",
-      "commandLineArgs": "\"What is the soup of the day?\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/GenerateCode/Properties/launchSettings.json

@@ -1,28 +0,0 @@
-{
-  "profiles": {
-    "Marketing": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Marketing.yaml\""
-    },
-    "MathChat": {
-      "commandName": "Project",
-      "commandLineArgs": "\"MathChat.yaml\""
-    },
-    "Question": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Question.yaml\""
-    },
-    "Research": {
-      "commandName": "Project",
-      "commandLineArgs": "\"DeepResearch.yaml\""
-    },
-    "ResponseObject": {
-      "commandName": "Project",
-      "commandLineArgs": "\"ResponseObject.yaml\""
-    },
-    "UserInput": {
-      "commandName": "Project",
-      "commandLineArgs": "\"UserInput.yaml\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/InputArguments/Properties/launchSettings.json

@@ -1,11 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Vacation": {
-      "commandName": "Project",
-      "commandLineArgs": "\"I'd like to go on vacation.\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj

@@ -1,38 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <PropertyGroup>
-    <InjectIsExternalInitOnLegacy>true</InjectIsExternalInitOnLegacy>
-    <InjectSharedFoundryAgents>true</InjectSharedFoundryAgents>
-    <InjectSharedWorkflowsExecution>true</InjectSharedWorkflowsExecution>
-    <InjectSharedWorkflowsSettings>true</InjectSharedWorkflowsSettings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Microsoft.Extensions.Configuration" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.Binder" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.EnvironmentVariables" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.Json" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" />
-    <PackageReference Include="Microsoft.Extensions.DependencyInjection" />
-    <PackageReference Include="Microsoft.Extensions.Logging" />
-  </ItemGroup>
-  
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.AzureAI\Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <None Include="InvokeFunctionTool.yaml">
-      <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-    </None>
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.yaml

@@ -1,55 +0,0 @@
-#
-# This workflow demonstrates using InvokeFunctionTool to call functions directly
-# from the workflow without going through an AI agent first.
-#
-# InvokeFunctionTool allows workflows to:
-# - Pre-fetch data before calling an AI agent
-# - Execute operations directly without AI involvement
-# - Store function results in workflow variables for later use
-#
-# Example input: 
-# What are the specials in the menu?
-#
-kind: Workflow
-trigger:
-
-  kind: OnConversationStart
-  id: workflow_invoke_function_tool_demo
-  actions:
-
-    # Invoke GetSpecials function to get today's specials directly from the workflow
-    - kind: InvokeFunctionTool
-      id: invoke_get_specials
-      conversationId: =System.ConversationId
-      requireApproval: true
-      functionName: GetSpecials
-      output:
-        autoSend: true
-        result: Local.Specials
-        messages: Local.FunctionMessage
-
-    # Display a message showing we retrieved the specials
-    - kind: SendMessage
-      id: show_specials_intro
-      message: "Today's specials have been retrieved. Here they are: {Local.Specials}"
-
-    # Now use an agent to format and present the specials to the user
-    - kind: InvokeAzureAgent
-      id: invoke_menu_agent
-      conversationId: =System.ConversationId
-      agent:
-        name: FunctionMenuAgent
-      input:
-        messages: =UserMessage("Please describe today's specials in an appealing way.")
-      output:
-        messages: Local.AgentResponse
-
-    # Allow the user to ask follow-up questions in a loop
-    - kind: InvokeAzureAgent
-      id: invoke_followup
-      conversationId: =System.ConversationId
-      agent:
-        name: FunctionMenuAgent
-      input:
-        externalLoop:
-          when: =Upper(System.LastMessage.Text) <> "EXIT"

dotnet/samples/03-workflows/Declarative/InvokeFunctionTool/MenuPlugin.cs

@@ -1,85 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.ComponentModel;
-
-namespace Demo.Workflows.Declarative.InvokeFunctionTool;
-
-#pragma warning disable CA1822 // Mark members as static
-
-/// <summary>
-/// Plugin providing menu-related functions that can be invoked directly by the workflow
-/// using the InvokeFunctionTool action.
-/// </summary>
-public sealed class MenuPlugin
-{
-    [Description("Provides a list items on the menu.")]
-    public MenuItem[] GetMenu()
-    {
-        return s_menuItems;
-    }
-
-    [Description("Provides a list of specials from the menu.")]
-    public MenuItem[] GetSpecials()
-    {
-        return [.. s_menuItems.Where(i => i.IsSpecial)];
-    }
-
-    [Description("Provides the price of the requested menu item.")]
-    public float? GetItemPrice(
-        [Description("The name of the menu item.")]
-        string name)
-    {
-        return s_menuItems.FirstOrDefault(i => i.Name.Equals(name, StringComparison.OrdinalIgnoreCase))?.Price;
-    }
-
-    private static readonly MenuItem[] s_menuItems =
-        [
-            new()
-            {
-                Category = "Soup",
-                Name = "Clam Chowder",
-                Price = 4.95f,
-                IsSpecial = true,
-            },
-            new()
-            {
-                Category = "Soup",
-                Name = "Tomato Soup",
-                Price = 4.95f,
-                IsSpecial = false,
-            },
-            new()
-            {
-                Category = "Salad",
-                Name = "Cobb Salad",
-                Price = 9.99f,
-            },
-            new()
-            {
-                Category = "Salad",
-                Name = "House Salad",
-                Price = 4.95f,
-            },
-            new()
-            {
-                Category = "Drink",
-                Name = "Chai Tea",
-                Price = 2.95f,
-                IsSpecial = true,
-            },
-            new()
-            {
-                Category = "Drink",
-                Name = "Soda",
-                Price = 1.95f,
-            },
-        ];
-
-    public sealed class MenuItem
-    {
-        public string Category { get; init; } = string.Empty;
-        public string Name { get; init; } = string.Empty;
-        public float Price { get; init; }
-        public bool IsSpecial { get; init; }
-    }
-}

dotnet/samples/03-workflows/Declarative/InvokeFunctionTool/Program.cs

@@ -1,88 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Azure.AI.Projects;
-using Azure.AI.Projects.OpenAI;
-using Azure.Identity;
-using Microsoft.Extensions.AI;
-using Microsoft.Extensions.Configuration;
-using OpenAI.Responses;
-using Shared.Foundry;
-using Shared.Workflows;
-
-namespace Demo.Workflows.Declarative.InvokeFunctionTool;
-
-/// <summary>
-/// Demonstrate a workflow that uses InvokeFunctionTool to call functions directly
-/// from the workflow without going through an AI agent first.
-/// </summary>
-/// <remarks>
-/// The InvokeFunctionTool action allows workflows to invoke function tools directly,
-/// enabling pre-fetching of data or executing operations before calling an AI agent.
-/// See the README.md file in the parent folder (../README.md) for detailed
-/// information about the configuration required to run this sample.
-/// </remarks>
-internal sealed class Program
-{
-    public static async Task Main(string[] args)
-    {
-        // Initialize configuration
-        IConfiguration configuration = Application.InitializeConfig();
-        Uri foundryEndpoint = new(configuration.GetValue(Application.Settings.FoundryEndpoint));
-
-        // Create the menu plugin with functions that can be invoked directly by the workflow
-        MenuPlugin menuPlugin = new();
-        AIFunction[] functions =
-            [
-                AIFunctionFactory.Create(menuPlugin.GetMenu),
-                AIFunctionFactory.Create(menuPlugin.GetSpecials),
-                AIFunctionFactory.Create(menuPlugin.GetItemPrice),
-            ];
-
-        // Ensure sample agent exists in Foundry
-        await CreateAgentAsync(foundryEndpoint, configuration);
-
-        // Get input from command line or console
-        string workflowInput = Application.GetInput(args);
-
-        // Create the workflow factory.
-        WorkflowFactory workflowFactory = new("InvokeFunctionTool.yaml", foundryEndpoint);
-
-        // Execute the workflow
-        WorkflowRunner runner = new(functions) { UseJsonCheckpoints = true };
-        await runner.ExecuteAsync(workflowFactory.CreateWorkflow, workflowInput);
-    }
-
-    private static async Task CreateAgentAsync(Uri foundryEndpoint, IConfiguration configuration)
-    {
-        // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-        AIProjectClient aiProjectClient = new(foundryEndpoint, new DefaultAzureCredential());
-
-        await aiProjectClient.CreateAgentAsync(
-            agentName: "FunctionMenuAgent",
-            agentDefinition: DefineMenuAgent(configuration, []), // Create Agent with no function tool in the definition.
-            agentDescription: "Provides information about the restaurant menu");
-    }
-
-    private static PromptAgentDefinition DefineMenuAgent(IConfiguration configuration, AIFunction[] functions)
-    {
-        PromptAgentDefinition agentDefinition =
-            new(configuration.GetValue(Application.Settings.FoundryModelMini))
-            {
-                Instructions =
-                    """
-                    Answer the users questions about the menu.
-                    Use the information provided in the conversation history to answer questions.
-                    If the information is already available in the conversation, use it directly.
-                    For questions or input that do not require searching the documentation, inform the
-                    user that you can only answer questions about what's on the menu.
-                    """
-            };
-
-        foreach (AIFunction function in functions)
-        {
-            agentDefinition.Tools.Add(function.AsOpenAIResponseTool());
-        }
-
-        return agentDefinition;
-    }
-}

dotnet/samples/03-workflows/Declarative/Marketing/Properties/launchSettings.json

@@ -1,11 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Water Bottle": {
-      "commandName": "Project",
-      "commandLineArgs": "\"An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours.\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/OpenAIChatAgent/Properties/launchSettings.json

@@ -1,32 +0,0 @@
-{
-  "profiles": {
-    "Marketing": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Marketing.yaml\" \"An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours\""
-    },
-    "MathChat": {
-      "commandName": "Project",
-      "commandLineArgs": "\"MathChat.yaml\" \"How would you compute the value of PI?\""
-    },
-    "Question": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Question.yaml\" \"Iko\""
-    },
-    "Research": {
-      "commandName": "Project",
-      "commandLineArgs": "\"DeepResearch.yaml\" \"What is the closest bus-stop that is next to ISHONI YAKINIKU in Seattle?\""
-    },
-    "ResponseObject": {
-      "commandName": "Project",
-      "commandLineArgs": "\"ResponseObject.yaml\" \"Can you help me plan a trip somewhere soon?\""
-    },
-    "UserInput": {
-      "commandName": "Project",
-      "commandLineArgs": "\"UserInput.yaml\" \"Iko\""
-    },
-    "ParseValue": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Pradeep-ParseValue-Number.yaml\" \"Test this case:\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/OpenAIResponseAgent/Properties/launchSettings.json

@@ -1,32 +0,0 @@
-{
-  "profiles": {
-    "Marketing": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Marketing.yaml\" \"An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours\""
-    },
-    "MathChat": {
-      "commandName": "Project",
-      "commandLineArgs": "\"MathChat.yaml\" \"How would you compute the value of PI?\""
-    },
-    "Question": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Question.yaml\" \"Iko\""
-    },
-    "Research": {
-      "commandName": "Project",
-      "commandLineArgs": "\"DeepResearch.yaml\" \"What is the closest bus-stop that is next to ISHONI YAKINIKU in Seattle?\""
-    },
-    "ResponseObject": {
-      "commandName": "Project",
-      "commandLineArgs": "\"ResponseObject.yaml\" \"Can you help me plan a trip somewhere soon?\""
-    },
-    "UserInput": {
-      "commandName": "Project",
-      "commandLineArgs": "\"UserInput.yaml\" \"Iko\""
-    },
-    "ParseValue": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Pradeep-ParseValue-Number.yaml\" \"Test this case:\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/StudentTeacher/Properties/launchSettings.json

@@ -1,11 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Compute PI": {
-      "commandName": "Project",
-      "commandLineArgs": "\"How would you compute the value of PI based on its fundamental definition?\""
-    }
-  }
-}

dotnet/samples/03-workflows/Declarative/ToolApproval/Properties/launchSettings.json

@@ -1,11 +0,0 @@
-{
-  "profiles": {
-    "Default": {
-      "commandName": "Project"
-    },
-    "Graph API": {
-      "commandName": "Project",
-      "commandLineArgs": "\"What is Microsoft Graph API used for?\""
-    }
-  }
-}

dotnet/samples/03-workflows/Loop/Loop.csproj

@@ -1,15 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/Visualization/Visualization.csproj

@@ -1,16 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\Concurrent\MapReduce\MapReduce.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/_StartHere/01_Streaming/01_Streaming.csproj

@@ -1,15 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/_StartHere/02_AgentsInWorkflows/02_AgentsInWorkflows.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/03_AgentWorkflowPatterns.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/06_MixedWorkflowAgentsAndExecutors.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/_StartHere/07_WriterCriticWorkflow/07_WriterCriticWorkflow.csproj

@@ -1,27 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <RootNamespace>WriterCriticWorkflow</RootNamespace>
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <IsPackable>false</IsPackable>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Generators\Microsoft.Agents.AI.Workflows.Generators.csproj" 
-                      OutputItemType="Analyzer" 
-                      ReferenceOutputAssembly="false" />
-    
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/05-end-to-end/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-    <UserSecretsId>b9c3f1e1-2fb4-5g29-0e52-53e2b7g9gf21</UserSecretsId>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-  </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/05-end-to-end/AGUIClientServer/AGUIServer/AGUIServer.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-    <UserSecretsId>a8b2e9f0-1ea3-4f18-9d41-42d1a6f8fe10</UserSecretsId>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-  </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/05-end-to-end/AGUIWebChat/Server/AGUIWebChatServer.csproj

@@ -1,21 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
-    <PackageReference Include="Azure.Identity" />
-  </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/05-end-to-end/AgentWebChat/AgentWebChat.Web/AgentWebChat.Web.csproj

@@ -1,18 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
-
-  <PropertyGroup>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-    <NoWarn>$(NoWarn);CA1812</NoWarn>
-  </PropertyGroup>
-  
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting.A2A\Microsoft.Agents.AI.Hosting.A2A.csproj" />
-	  <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting.OpenAI\Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
-    <ProjectReference Include="..\AgentWebChat.ServiceDefaults\AgentWebChat.ServiceDefaults.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/A2AClientServer/A2AClient/A2AClient.csproj

@@ -15,9 +15,9 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/A2AClientServer/A2AClient/README.md

@@ -18,7 +18,7 @@ To run the sample, follow these steps:
 The agent urls are provided as a ` ` delimited list of strings
 
 ```powershell
-cd dotnet/samples/05-end-to-end/A2AClientServer/A2AClient
+cd dotnet/samples/A2AClientServer/A2AClient
 
 $env:OPENAI_MODEL="gpt-4o-mini"
 $env:OPENAI_API_KEY="<Your OPENAI api key>"

dotnet/samples/A2AClientServer/A2AServer/A2AServer.csproj

@@ -19,12 +19,12 @@
   </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.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.Persistent\Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.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>
 
 </Project>

dotnet/samples/AGUIClientServer/AGUIClient/AGUIClient.csproj

@@ -14,8 +14,8 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
+    <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/AGUIDojoServer/AGUIDojoServer.csproj

@@ -0,0 +1,22 @@
+<Project Sdk="Microsoft.NET.Sdk.Web">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <UserSecretsId>b9c3f1e1-2fb4-5g29-0e52-53e2b7g9gf21</UserSecretsId>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </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>