Merge branch 'main' into dev/dotnet_workflow/Enable-HandoffHILReturnToPrevious

* Move ag_ui_workflow_handoff demo to 05-end-to-end (#4895)

Move the AG-UI workflow handoff demo from python/samples/demos/ to
python/samples/05-end-to-end/ to follow the current folder structure
convention. Update README paths accordingly.

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

* Fix review feedback: remove build artifacts, fix README paths (#4895)

- Add .gitignore to frontend/ to exclude *.tsbuildinfo, vite.config.js,
  and vite.config.d.ts build artifacts from version control
- Remove the 4 tracked build artifact files from the tree
- Fix step 2 cd path in README to be relative after 'cd python'

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

* Clarify working directory context in README Step 2 (#4895)

Step 2 uses a python/-relative path (samples/...) which assumes the
user is still in the python/ directory from Step 1. Add a brief note
making this explicit.

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

---------

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

.devcontainer/dotnet/devcontainer.json

@@ -3,6 +3,7 @@
   "image": "mcr.microsoft.com/devcontainers/dotnet",
   "features": {
     "ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
+    "ghcr.io/devcontainers/features/docker-in-docker:2": {},
     "ghcr.io/devcontainers/features/github-cli:1": {
       "version": "2"
     },

.github/.linkspector.yml

@@ -20,6 +20,7 @@ ignorePatterns:
   - pattern: "https://your-resource.openai.azure.com/"
   - pattern: "http://host.docker.internal"
   - pattern: "https://openai.github.io/openai-agents-js/openai/agents/classes/"
+  - pattern: "https:\/\/dotnet.microsoft.com\/download"
 # excludedDirs:
   # Folders which include links to localhost, since it's not ignored with regular expressions
 baseUrl: https://github.com/microsoft/agent-framework/

.github/actions/python-setup/action.yml

@@ -8,6 +8,10 @@ inputs:
     os:
       description: The operating system to set up
       required: true
+    exclude-packages:
+      description: Space-separated list of packages to exclude from uv sync
+      required: false
+      default: ''
 
 runs:
     using: "composite"
@@ -19,6 +23,20 @@ runs:
             enable-cache: true
             cache-suffix: ${{ inputs.os }}-${{ inputs.python-version }}
             cache-dependency-glob: "**/uv.lock"
+      - name: Exclude incompatible workspace packages
+        if: ${{ inputs.exclude-packages != '' }}
+        shell: bash
+        run: |
+          for pkg in ${{ inputs.exclude-packages }}; do
+            for f in python/packages/*/pyproject.toml; do
+              if grep -q "name = \"$pkg\"" "$f"; then
+                pkg_dir=$(dirname "$f" | sed 's|python/||')
+                echo "Excluding workspace package: $pkg ($pkg_dir)"
+                sed -i.bak '/\[tool\.uv\.workspace\]/a\exclude = ["'"$pkg_dir"'"]' python/pyproject.toml
+                sed -i.bak '/'"$pkg"' = { workspace = true }/d' python/pyproject.toml
+              fi
+            done
+          done
       - name: Install the project
         shell: bash
         run: |

.github/actions/sample-validation-setup/action.yml

@@ -0,0 +1,50 @@
+name: Sample Validation Setup
+description: Sets up the environment for sample validation (checkout, Node.js, Copilot CLI, Azure login, Python)
+
+inputs:
+  azure-client-id:
+    description: Azure Client ID for OIDC login
+    required: true
+  azure-tenant-id:
+    description: Azure Tenant ID for OIDC login
+    required: true
+  azure-subscription-id:
+    description: Azure Subscription ID for OIDC login
+    required: true
+  python-version:
+    description: The Python version to set up
+    required: false
+    default: "3.12"
+  os:
+    description: The operating system to set up
+    required: false
+    default: "Linux"
+
+runs:
+  using: "composite"
+  steps:
+    - name: Set up Node.js environment
+      uses: actions/setup-node@v6
+      with:
+        node-version: 22
+
+    - name: Install Copilot CLI
+      shell: bash
+      run: npm install -g @github/copilot
+
+    - name: Test Copilot CLI
+      shell: bash
+      run: copilot -p "What can you do in one sentence?"
+
+    - name: Azure CLI Login
+      uses: azure/login@v2
+      with:
+        client-id: ${{ inputs.azure-client-id }}
+        tenant-id: ${{ inputs.azure-tenant-id }}
+        subscription-id: ${{ inputs.azure-subscription-id }}
+
+    - name: Set up python and install the project
+      uses: ./.github/actions/python-setup
+      with:
+        python-version: ${{ inputs.python-version }}
+        os: ${{ inputs.os }}

.github/actions/setup-local-mcp-server/action.yml

@@ -0,0 +1,166 @@
+name: Setup Local MCP Server
+description: Start and validate a local streamable HTTP MCP server for integration tests
+
+inputs:
+  fallback_url:
+    description: Existing LOCAL_MCP_URL value to keep as a fallback if local startup fails
+    required: false
+    default: ''
+  host:
+    description: Host interface to bind the local MCP server
+    required: false
+    default: '127.0.0.1'
+  port:
+    description: Port to bind the local MCP server
+    required: false
+    default: '8011'
+  mount_path:
+    description: Mount path for the local streamable HTTP MCP endpoint
+    required: false
+    default: '/mcp'
+
+outputs:
+  effective_url:
+    description: Local MCP URL when startup succeeds, otherwise the provided fallback URL
+    value: ${{ steps.start.outputs.effective_url }}
+  local_url:
+    description: URL of the local MCP server
+    value: ${{ steps.start.outputs.local_url }}
+  started:
+    description: Whether the local MCP server started and passed validation
+    value: ${{ steps.start.outputs.started }}
+  pid:
+    description: PID of the local MCP server process when startup succeeded
+    value: ${{ steps.start.outputs.pid }}
+
+runs:
+  using: composite
+  steps:
+    - name: Start and validate local MCP server
+      id: start
+      shell: bash
+      run: |
+        set -euo pipefail
+
+        host="${{ inputs.host }}"
+        port="${{ inputs.port }}"
+        mount_path="${{ inputs.mount_path }}"
+        fallback_url="${{ inputs.fallback_url }}"
+
+        if [[ ! "$mount_path" =~ ^/ ]]; then
+          mount_path="/$mount_path"
+        fi
+
+        local_url="http://${host}:${port}${mount_path}"
+        health_url="http://${host}:${port}/healthz"
+        log_file="$RUNNER_TEMP/local-mcp-server.log"
+        pid_file="$RUNNER_TEMP/local-mcp-server.pid"
+        rm -f "$log_file" "$pid_file"
+
+        server_pid="$(
+          python3 - "$GITHUB_WORKSPACE/python" "$log_file" "$host" "$port" "$mount_path" <<'PY'
+        from __future__ import annotations
+
+        import subprocess
+        import sys
+
+        workspace, log_file, host, port, mount_path = sys.argv[1:]
+
+        with open(log_file, "w", encoding="utf-8") as log:
+            process = subprocess.Popen(
+                [
+                    "uv",
+                    "run",
+                    "python",
+                    "scripts/local_mcp_streamable_http_server.py",
+                    "--host",
+                    host,
+                    "--port",
+                    port,
+                    "--mount-path",
+                    mount_path,
+                ],
+                cwd=workspace,
+                stdout=log,
+                stderr=subprocess.STDOUT,
+                start_new_session=True,
+            )
+
+        print(process.pid)
+        PY
+        )"
+        echo "$server_pid" > "$pid_file"
+
+        started=false
+        for _ in $(seq 1 30); do
+          if curl --silent --fail "$health_url" >/dev/null; then
+            started=true
+            break
+          fi
+          if ! kill -0 "$server_pid" 2>/dev/null; then
+            break
+          fi
+          sleep 1
+        done
+
+        if [[ "$started" == "true" ]]; then
+          if ! (
+            cd "$GITHUB_WORKSPACE/python"
+            LOCAL_MCP_URL="$local_url" uv run python - <<'PY'
+        from __future__ import annotations
+
+        import asyncio
+        import os
+
+        from agent_framework import Content, MCPStreamableHTTPTool
+
+
+        def result_to_text(result: str | list[Content]) -> str:
+            if isinstance(result, str):
+                return result
+            return "\n".join(content.text for content in result if content.type == "text" and content.text)
+
+
+        async def main() -> None:
+            tool = MCPStreamableHTTPTool(
+                name="local_ci_mcp",
+                url=os.environ["LOCAL_MCP_URL"],
+                approval_mode="never_require",
+            )
+
+            async with tool:
+                assert tool.functions, "Local MCP server did not expose any tools."
+                result = result_to_text(await tool.functions[0].invoke(query="What is Agent Framework?"))
+                assert result, "Local MCP server returned an empty response."
+
+
+        asyncio.run(main())
+        PY
+          ); then
+            started=false
+          fi
+        fi
+
+        effective_url="$local_url"
+        pid="$server_pid"
+
+        if [[ "$started" != "true" ]]; then
+          effective_url="$fallback_url"
+          pid=""
+          if kill -0 "$server_pid" 2>/dev/null; then
+            kill -TERM -- "-$server_pid" 2>/dev/null || kill -TERM "$server_pid" || true
+            sleep 1
+            kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" || true
+          fi
+          echo "Local MCP server was unavailable; continuing with fallback LOCAL_MCP_URL."
+          if [[ -f "$log_file" ]]; then
+            tail -n 100 "$log_file" || true
+          fi
+        else
+          echo "Using local MCP server at $local_url"
+        fi
+
+        echo "started=$started" >> "$GITHUB_OUTPUT"
+        echo "local_url=$local_url" >> "$GITHUB_OUTPUT"
+        echo "effective_url=$effective_url" >> "$GITHUB_OUTPUT"
+        echo "pid=$pid" >> "$GITHUB_OUTPUT"

.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/GettingStarted/Workflow/**
+    - dotnet/samples/03-workflows/**
     - python/packages/main/agent_framework/_workflow/**
     - python/samples/getting_started/workflow/**
 

.github/scripts/stale_issue_pr_ping.py

@@ -0,0 +1,216 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Scan open issues and PRs labeled 'waiting-for-author' for stale follow-ups.
+
+Team members manually add the 'waiting-for-author' label when they need a
+response from the external author.  If the author hasn't replied within
+DAYS_THRESHOLD days of the last team comment, post a reminder and add the
+'requested-info' label to prevent duplicate pings.
+"""
+
+from __future__ import annotations
+
+import os
+import sys
+import time
+from datetime import datetime, timezone
+
+from github import Auth, Github, GithubException
+from github.Issue import Issue
+from github.IssueComment import IssueComment
+
+
+PING_COMMENT = (
+    "@{author}, friendly reminder — this issue is waiting on your response. "
+    "Please share any updates when you get a chance. (This is an automated message.)"
+)
+TRIGGER_LABEL = "waiting-for-author"
+PINGED_LABEL = "requested-info"
+
+
+def get_team_members(g: Github, org: str, team_slug: str) -> set[str]:
+    """Fetch active team member usernames."""
+    try:
+        org_obj = g.get_organization(org)
+        team = org_obj.get_team_by_slug(team_slug)
+        return {m.login for m in team.get_members()}
+    except GithubException as exc:
+        if exc.status in (403, 404):
+            print(
+                f"ERROR: Failed to fetch team members for {org}/{team_slug} "
+                f"(HTTP {exc.status}). Check that the token has the 'read:org' "
+                f"scope and that the team slug '{team_slug}' is correct."
+            )
+        else:
+            print(f"ERROR: Failed to fetch team members for {org}/{team_slug}: {exc}")
+        sys.exit(1)
+    except Exception as exc:
+        print(f"ERROR: Failed to fetch team members for {org}/{team_slug}: {exc}")
+        sys.exit(1)
+
+
+def find_last_team_comment(
+    comments: list[IssueComment], team_members: set[str]
+) -> IssueComment | None:
+    """Return the most recent comment from a team member, or None."""
+    for comment in reversed(comments):
+        if comment.user and comment.user.login in team_members:
+            return comment
+    return None
+
+
+def author_replied_after(
+    comments: list[IssueComment], author: str, after: datetime
+) -> bool:
+    """Check if the issue author commented after the given timestamp."""
+    for comment in comments:
+        if (
+            comment.user
+            and comment.user.login == author
+            and comment.created_at > after
+        ):
+            return True
+    return False
+
+
+def should_ping(
+    issue: Issue,
+    team_members: set[str],
+    days_threshold: int,
+    now: datetime,
+) -> bool:
+    """Determine whether this issue/PR should be pinged.
+
+    Only issues/PRs carrying the 'waiting-for-author' label are candidates.
+    """
+    author = issue.user.login
+
+    # Skip if the trigger label is not present
+    if not any(label.name == TRIGGER_LABEL for label in issue.labels):
+        return False
+    # Skip if author is a team member
+    if author in team_members:
+        return False
+
+    # Skip if already pinged
+    if any(label.name == PINGED_LABEL for label in issue.labels):
+        return False
+
+    # Skip if no comments at all
+    if issue.comments == 0:
+        return False
+
+    # Fetch comments once for both lookups
+    comments = list(issue.get_comments())
+
+    # Find last team member comment
+    last_team_comment = find_last_team_comment(comments, team_members)
+    if last_team_comment is None:
+        return False
+
+    # Skip if author replied after the last team comment
+    if author_replied_after(comments, author, last_team_comment.created_at):
+        return False
+
+    # Check if enough days have passed
+    days_since = (now - last_team_comment.created_at.astimezone(timezone.utc)).days
+    if days_since < days_threshold:
+        return False
+
+    return True
+
+
+def ping(issue: Issue, dry_run: bool) -> bool:
+    """Post a reminder comment and add the 'requested-info' label. Returns True on success."""
+    author = issue.user.login
+    kind = "PR" if issue.pull_request else "Issue"
+
+    if dry_run:
+        print(f"  [DRY RUN] Would ping {kind} #{issue.number} (@{author})")
+        return True
+
+    max_retries = 3
+    commented = False
+    labeled = False
+    for attempt in range(1, max_retries + 1):
+        try:
+            if not commented:
+                issue.create_comment(PING_COMMENT.format(author=author))
+                commented = True
+            if not labeled:
+                issue.add_to_labels(PINGED_LABEL)
+                labeled = True
+            print(f"  Pinged {kind} #{issue.number} (@{author})")
+            return True
+        except Exception as exc:
+            if attempt < max_retries:
+                wait = 2 ** attempt  # 2s, 4s
+                print(f"  WARN: Attempt {attempt}/{max_retries} failed for {kind} #{issue.number}: {exc}. Retrying in {wait}s...")
+                time.sleep(wait)
+            else:
+                print(f"  ERROR: Failed to ping {kind} #{issue.number} after {max_retries} attempts: {exc}")
+                return False
+
+
+def main() -> None:
+    token = os.environ.get("GITHUB_TOKEN")
+    if not token:
+        print("ERROR: GITHUB_TOKEN environment variable is required")
+        sys.exit(1)
+
+    repository = os.environ.get("GITHUB_REPOSITORY")
+    if not repository:
+        print("ERROR: GITHUB_REPOSITORY environment variable is required")
+        sys.exit(1)
+
+    team_slug = os.environ.get("TEAM_SLUG")
+    if not team_slug:
+        print("ERROR: TEAM_SLUG environment variable is required")
+        sys.exit(1)
+
+    days_threshold_raw = os.environ.get("DAYS_THRESHOLD", "4")
+    try:
+        days_threshold = int(days_threshold_raw)
+    except ValueError:
+        print(f"ERROR: DAYS_THRESHOLD must be a numeric value, got '{days_threshold_raw}'")
+        sys.exit(1)
+    dry_run = os.environ.get("DRY_RUN", "false").lower() == "true"
+
+    org = repository.split("/")[0]
+
+    if dry_run:
+        print("Running in DRY RUN mode — no comments or labels will be applied.\n")
+
+    g = Github(auth=Auth.Token(token))
+    repo = g.get_repo(repository)
+
+    print(f"Fetching team members for {org}/{team_slug}...")
+    team_members = get_team_members(g, org, team_slug)
+    print(f"Found {len(team_members)} team members.\n")
+
+    now = datetime.now(timezone.utc)
+    pinged = []
+    failed = []
+    scanned = 0
+
+    print(f"Scanning open issues and PRs labeled '{TRIGGER_LABEL}' (threshold: {days_threshold} days)...\n")
+
+    for issue in repo.get_issues(state="open", labels=[TRIGGER_LABEL]):
+        scanned += 1
+
+        if should_ping(issue, team_members, days_threshold, now):
+            if ping(issue, dry_run):
+                pinged.append(issue.number)
+            else:
+                failed.append(issue.number)
+
+    print(f"\nDone. Scanned {scanned} items, pinged {len(pinged)}, failed {len(failed)}.")
+    if pinged:
+        print(f"Pinged: {', '.join(f'#{n}' for n in pinged)}")
+    if failed:
+        print(f"Failed: {', '.join(f'#{n}' for n in failed)}")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

.github/tests/test_stale_issue_pr_ping.py

@@ -0,0 +1,297 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Tests for stale_issue_pr_ping.py."""
+
+from __future__ import annotations
+
+import os
+import sys
+from datetime import datetime, timezone, timedelta
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+# Ensure the script directory is importable
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "scripts"))
+
+from stale_issue_pr_ping import (
+    PINGED_LABEL,
+    PING_COMMENT,
+    TRIGGER_LABEL,
+    author_replied_after,
+    find_last_team_comment,
+    get_team_members,
+    main,
+    ping,
+    should_ping,
+)
+
+TEAM = {"alice", "bob"}
+NOW = datetime(2026, 3, 15, 12, 0, 0, tzinfo=timezone.utc)
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+def _make_comment(login: str | None, created_at: datetime) -> MagicMock:
+    """Create a mock IssueComment."""
+    c = MagicMock()
+    if login is None:
+        c.user = None
+    else:
+        c.user = MagicMock()
+        c.user.login = login
+    c.created_at = created_at
+    return c
+
+
+def _make_label(name: str) -> MagicMock:
+    lbl = MagicMock()
+    lbl.name = name
+    return lbl
+
+
+def _make_issue(
+    author: str = "external",
+    labels: list[str] | None = None,
+    comment_count: int = 1,
+    comments: list[MagicMock] | None = None,
+    pull_request: bool = False,
+    number: int = 42,
+) -> MagicMock:
+    issue = MagicMock()
+    issue.user = MagicMock()
+    issue.user.login = author
+    issue.number = number
+    # Default to having the trigger label, since the API query pre-filters.
+    if labels is None:
+        labels = [TRIGGER_LABEL]
+    issue.labels = [_make_label(n) for n in labels]
+    issue.comments = comment_count
+    issue.pull_request = MagicMock() if pull_request else None
+    if comments is not None:
+        issue.get_comments.return_value = comments
+    return issue
+
+
+# ---------------------------------------------------------------------------
+# find_last_team_comment
+# ---------------------------------------------------------------------------
+
+class TestFindLastTeamComment:
+    def test_returns_last_team_comment(self):
+        c1 = _make_comment("alice", datetime(2026, 3, 1, tzinfo=timezone.utc))
+        c2 = _make_comment("external", datetime(2026, 3, 2, tzinfo=timezone.utc))
+        c3 = _make_comment("bob", datetime(2026, 3, 3, tzinfo=timezone.utc))
+        assert find_last_team_comment([c1, c2, c3], TEAM) is c3
+
+    def test_returns_none_when_no_team_comments(self):
+        c1 = _make_comment("external", datetime(2026, 3, 1, tzinfo=timezone.utc))
+        assert find_last_team_comment([c1], TEAM) is None
+
+    def test_returns_none_for_empty_list(self):
+        assert find_last_team_comment([], TEAM) is None
+
+    def test_skips_deleted_user(self):
+        c1 = _make_comment(None, datetime(2026, 3, 1, tzinfo=timezone.utc))
+        c2 = _make_comment("alice", datetime(2026, 3, 2, tzinfo=timezone.utc))
+        assert find_last_team_comment([c1, c2], TEAM) is c2
+
+    def test_only_deleted_users(self):
+        c1 = _make_comment(None, datetime(2026, 3, 1, tzinfo=timezone.utc))
+        assert find_last_team_comment([c1], TEAM) is None
+
+
+# ---------------------------------------------------------------------------
+# author_replied_after
+# ---------------------------------------------------------------------------
+
+class TestAuthorRepliedAfter:
+    def test_author_replied(self):
+        after = datetime(2026, 3, 1, tzinfo=timezone.utc)
+        c1 = _make_comment("external", datetime(2026, 3, 2, tzinfo=timezone.utc))
+        assert author_replied_after([c1], "external", after) is True
+
+    def test_author_not_replied(self):
+        after = datetime(2026, 3, 5, tzinfo=timezone.utc)
+        c1 = _make_comment("external", datetime(2026, 3, 2, tzinfo=timezone.utc))
+        assert author_replied_after([c1], "external", after) is False
+
+    def test_different_user_replied(self):
+        after = datetime(2026, 3, 1, tzinfo=timezone.utc)
+        c1 = _make_comment("someone_else", datetime(2026, 3, 2, tzinfo=timezone.utc))
+        assert author_replied_after([c1], "external", after) is False
+
+    def test_deleted_user_comment(self):
+        after = datetime(2026, 3, 1, tzinfo=timezone.utc)
+        c1 = _make_comment(None, datetime(2026, 3, 2, tzinfo=timezone.utc))
+        assert author_replied_after([c1], "external", after) is False
+
+
+# ---------------------------------------------------------------------------
+# should_ping
+# ---------------------------------------------------------------------------
+
+class TestShouldPing:
+    def test_should_ping_stale_issue(self):
+        team_comment = _make_comment("alice", NOW - timedelta(days=5))
+        issue = _make_issue(comments=[team_comment], comment_count=1)
+        assert should_ping(issue, TEAM, 4, NOW) is True
+
+    def test_skip_team_member_author(self):
+        issue = _make_issue(author="alice", labels=[TRIGGER_LABEL], comment_count=1)
+        assert should_ping(issue, TEAM, 4, NOW) is False
+
+    def test_skip_already_pinged(self):
+        issue = _make_issue(labels=[TRIGGER_LABEL, PINGED_LABEL], comment_count=1)
+        assert should_ping(issue, TEAM, 4, NOW) is False
+
+    def test_skip_no_comments(self):
+        issue = _make_issue(comment_count=0)
+        assert should_ping(issue, TEAM, 4, NOW) is False
+
+    def test_skip_no_team_comment(self):
+        c = _make_comment("external", NOW - timedelta(days=5))
+        issue = _make_issue(comments=[c], comment_count=1)
+        assert should_ping(issue, TEAM, 4, NOW) is False
+
+    def test_skip_author_replied(self):
+        team_c = _make_comment("alice", NOW - timedelta(days=5))
+        author_c = _make_comment("external", NOW - timedelta(days=3))
+        issue = _make_issue(comments=[team_c, author_c], comment_count=2)
+        assert should_ping(issue, TEAM, 4, NOW) is False
+
+    def test_skip_not_enough_days(self):
+        team_comment = _make_comment("alice", NOW - timedelta(days=2))
+        issue = _make_issue(comments=[team_comment], comment_count=1)
+        assert should_ping(issue, TEAM, 4, NOW) is False
+
+    def test_aware_datetime_handled(self):
+        """Timezone-aware datetimes should not be mangled by astimezone."""
+        aware_dt = (NOW - timedelta(days=5)).replace(tzinfo=timezone.utc)
+        team_comment = _make_comment("alice", aware_dt)
+        issue = _make_issue(comments=[team_comment], comment_count=1)
+        assert should_ping(issue, TEAM, 4, NOW) is True
+
+    def test_naive_datetime_handled(self):
+        """Naive datetimes (pre-PyGithub 2.x) should be handled by astimezone."""
+        naive_dt = (NOW - timedelta(days=5)).replace(tzinfo=None)
+        team_comment = _make_comment("alice", naive_dt)
+        issue = _make_issue(comments=[team_comment], comment_count=1)
+        # astimezone on naive datetime treats it as local time; just verify no crash
+        should_ping(issue, TEAM, 4, NOW)
+
+
+# ---------------------------------------------------------------------------
+# ping
+# ---------------------------------------------------------------------------
+
+class TestPing:
+    def test_dry_run(self, capsys):
+        issue = _make_issue()
+        assert ping(issue, dry_run=True) is True
+        issue.create_comment.assert_not_called()
+        assert "DRY RUN" in capsys.readouterr().out
+
+    def test_success(self, capsys):
+        issue = _make_issue()
+        assert ping(issue, dry_run=False) is True
+        issue.create_comment.assert_called_once()
+        issue.add_to_labels.assert_called_once_with(PINGED_LABEL)
+
+    @patch("stale_issue_pr_ping.time.sleep")
+    def test_retry_on_failure(self, mock_sleep):
+        issue = _make_issue()
+        issue.create_comment.side_effect = [Exception("net error"), None]
+        assert ping(issue, dry_run=False) is True
+        assert issue.create_comment.call_count == 2
+        mock_sleep.assert_called_once()
+
+    @patch("stale_issue_pr_ping.time.sleep")
+    def test_idempotent_retry_skips_comment_on_label_failure(self, mock_sleep):
+        """If create_comment succeeds but add_to_labels fails, retry should not re-comment."""
+        issue = _make_issue()
+        issue.add_to_labels.side_effect = [Exception("label error"), None]
+        assert ping(issue, dry_run=False) is True
+        # Comment should only be created once even though there were 2 attempts
+        assert issue.create_comment.call_count == 1
+        assert issue.add_to_labels.call_count == 2
+
+    @patch("stale_issue_pr_ping.time.sleep")
+    def test_all_retries_fail(self, mock_sleep):
+        issue = _make_issue()
+        issue.create_comment.side_effect = Exception("permanent error")
+        assert ping(issue, dry_run=False) is False
+        assert issue.create_comment.call_count == 3
+
+
+# ---------------------------------------------------------------------------
+# get_team_members
+# ---------------------------------------------------------------------------
+
+class TestGetTeamMembers:
+    def test_success(self):
+        g = MagicMock()
+        member = MagicMock()
+        member.login = "alice"
+        g.get_organization.return_value.get_team_by_slug.return_value.get_members.return_value = [member]
+        assert get_team_members(g, "org", "my-team") == {"alice"}
+
+    def test_403_error_message(self, capsys):
+        from github import GithubException
+
+        g = MagicMock()
+        g.get_organization.return_value.get_team_by_slug.side_effect = GithubException(
+            403, {"message": "Forbidden"}, None
+        )
+        with pytest.raises(SystemExit):
+            get_team_members(g, "org", "my-team")
+        out = capsys.readouterr().out
+        assert "read:org" in out
+        assert "403" in out
+
+    def test_404_error_message(self, capsys):
+        from github import GithubException
+
+        g = MagicMock()
+        g.get_organization.return_value.get_team_by_slug.side_effect = GithubException(
+            404, {"message": "Not Found"}, None
+        )
+        with pytest.raises(SystemExit):
+            get_team_members(g, "org", "bad-slug")
+        out = capsys.readouterr().out
+        assert "read:org" in out
+        assert "bad-slug" in out
+
+    def test_generic_error(self, capsys):
+        g = MagicMock()
+        g.get_organization.side_effect = RuntimeError("boom")
+        with pytest.raises(SystemExit):
+            get_team_members(g, "org", "team")
+
+
+# ---------------------------------------------------------------------------
+# main – env var validation
+# ---------------------------------------------------------------------------
+
+class TestMain:
+    @patch.dict(os.environ, {
+        "GITHUB_TOKEN": "tok",
+        "GITHUB_REPOSITORY": "org/repo",
+        "TEAM_SLUG": "my-team",
+        "DAYS_THRESHOLD": "abc",
+    }, clear=True)
+    def test_invalid_days_threshold(self, capsys):
+        with pytest.raises(SystemExit):
+            main()
+        assert "numeric" in capsys.readouterr().out
+
+    @patch.dict(os.environ, {
+        "GITHUB_TOKEN": "tok",
+        "GITHUB_REPOSITORY": "org/repo",
+    }, clear=True)
+    def test_missing_team_slug(self, capsys):
+        with pytest.raises(SystemExit):
+            main()
+        assert "TEAM_SLUG" in capsys.readouterr().out

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

@@ -59,20 +59,20 @@ jobs:
         if: steps.filter.outputs.dotnet != 'true'
         run: echo "NOT dotnet file"
 
-  dotnet-build-and-test:
+  # Build the full solution (including samples) on all TFMs. No tests.
+  dotnet-build:
     needs: paths-filter
     if: needs.paths-filter.outputs.dotnetChanges == 'true'
     strategy:
       fail-fast: false
       matrix:
         include:
-          - { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release, integration-tests: true, environment: "integration" }
+          - { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release }
           - { targetFramework: "net9.0", os: "windows-latest", configuration: Debug }
           - { targetFramework: "net8.0", os: "ubuntu-latest", configuration: Release }
-          - { targetFramework: "net472", os: "windows-latest", configuration: Release, integration-tests: true, environment: "integration" }
+          - { targetFramework: "net472", os: "windows-latest", configuration: Release }
 
     runs-on: ${{ matrix.os }}
-    environment: ${{ matrix.environment }}
     steps:
       - uses: actions/checkout@v6
         with:
@@ -84,18 +84,8 @@ jobs:
               python
               workflow-samples
 
-      # Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
-      - name: Start Azure Cosmos DB Emulator
-        if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
-        shell: pwsh
-        run: |
-          Write-Host "Launching Azure Cosmos DB Emulator"
-          Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
-          Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
-          echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
-
       - name: Setup dotnet
-        uses: actions/setup-dotnet@v5.1.0
+        uses: actions/setup-dotnet@v5.2.0
         with:
           global-json-file: ${{ github.workspace }}/dotnet/global.json
       - name: Build dotnet solutions
@@ -140,25 +130,98 @@ jobs:
           popd
           rm -rf "$TEMP_DIR"
 
-      - name: Run Unit Tests
-        shell: bash
-        run: |
-          export UT_PROJECTS=$(find ./dotnet -type f -name "*.UnitTests.csproj" | tr '\n' ' ')
-          for project in $UT_PROJECTS; do
-            # Query the project's target frameworks using MSBuild with the current configuration
-            target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
+  # Build src+tests only (no samples) for a single TFM and run tests.
+  dotnet-test:
+    needs: paths-filter
+    if: needs.paths-filter.outputs.dotnetChanges == 'true'
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release, integration-tests: true, environment: "integration" }
+          - { targetFramework: "net472", os: "windows-latest", configuration: Release, integration-tests: true, environment: "integration" }
 
-            # Check if the project supports the target framework
-            if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
-              if [[ "${{ matrix.targetFramework }}" == "${{ env.COVERAGE_FRAMEWORK }}" ]]; then
-                dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --collect:"XPlat Code Coverage" --results-directory:"TestResults/Coverage/" -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.ExcludeByAttribute=GeneratedCodeAttribute,CompilerGeneratedAttribute,ExcludeFromCodeCoverageAttribute
-              else
-                dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
-              fi
-            else
-              echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
-            fi
-          done
+    runs-on: ${{ matrix.os }}
+    environment: ${{ matrix.environment }}
+    steps:
+      - uses: actions/checkout@v6
+        with:
+            persist-credentials: false
+            sparse-checkout: |
+              .
+              .github
+              dotnet
+              python
+              workflow-samples
+
+      # Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
+      - name: Start Azure Cosmos DB Emulator
+        if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
+        shell: pwsh
+        run: |
+          Write-Host "Launching Azure Cosmos DB Emulator"
+          Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
+          Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
+          echo "COSMOSDB_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
+
+      - name: Setup dotnet
+        uses: actions/setup-dotnet@v5.2.0
+        with:
+          global-json-file: ${{ github.workspace }}/dotnet/global.json
+
+      - name: Generate test solution (no samples)
+        shell: pwsh
+        run: |
+          ./dotnet/eng/scripts/New-FilteredSolution.ps1 `
+            -Solution dotnet/agent-framework-dotnet.slnx `
+            -TargetFramework ${{ matrix.targetFramework }} `
+            -Configuration ${{ matrix.configuration }} `
+            -ExcludeSamples `
+            -OutputPath dotnet/filtered.slnx `
+            -Verbose
+
+      - name: Build src and tests
+        shell: bash
+        run: dotnet build dotnet/filtered.slnx -c ${{ matrix.configuration }} -f ${{ matrix.targetFramework }} --warnaserror
+
+      - name: Generate test-type filtered solutions
+        shell: pwsh
+        run: |
+          $commonArgs = @{
+            Solution       = "dotnet/filtered.slnx"
+            TargetFramework = "${{ matrix.targetFramework }}"
+            Configuration   = "${{ matrix.configuration }}"
+            Verbose         = $true
+          }
+          ./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
+            -TestProjectNameFilter "*UnitTests*" `
+            -OutputPath dotnet/filtered-unit.slnx
+          ./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
+            -TestProjectNameFilter "*IntegrationTests*" `
+            -OutputPath dotnet/filtered-integration.slnx
+
+      - name: Run Unit Tests
+        shell: pwsh
+        working-directory: dotnet
+        run: |
+          $coverageSettings = Join-Path $PWD "tests/coverage.runsettings"
+          $coverageArgs = @()
+          if ("${{ matrix.targetFramework }}" -eq "${{ env.COVERAGE_FRAMEWORK }}") {
+            $coverageArgs = @(
+              "--coverage",
+              "--coverage-output-format", "cobertura",
+              "--coverage-settings", $coverageSettings,
+              "--results-directory", "../TestResults/Coverage/"
+            )
+          }
+
+          dotnet test --solution ./filtered-unit.slnx `
+            -f ${{ matrix.targetFramework }} `
+            -c ${{ matrix.configuration }} `
+            --no-build -v Normal `
+            --report-xunit-trx `
+            --ignore-exit-code 8 `
+            @coverageArgs
         env:
           # Cosmos DB Emulator connection settings
           COSMOSDB_ENDPOINT: https://localhost:8081
@@ -185,53 +248,48 @@ jobs:
         id: azure-functions-setup
 
       - name: Run Integration Tests
-        shell: bash
+        shell: pwsh
+        working-directory: dotnet
         if: github.event_name != 'pull_request' && matrix.integration-tests
         run: |
-          export INTEGRATION_TEST_PROJECTS=$(find ./dotnet -type f -name "*IntegrationTests.csproj" | tr '\n' ' ')
-          for project in $INTEGRATION_TEST_PROJECTS; do
-            # Query the project's target frameworks using MSBuild with the current configuration
-            target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
-
-            # Check if the project supports the target framework
-            if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
-              dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --filter "Category!=IntegrationDisabled"
-            else
-              echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
-            fi
-          done
+          dotnet test --solution ./filtered-integration.slnx `
+            -f ${{ matrix.targetFramework }} `
+            -c ${{ matrix.configuration }} `
+            --no-build -v Normal `
+            --report-xunit-trx `
+            --ignore-exit-code 8 `
+            --filter-not-trait "Category=IntegrationDisabled" `
+            --parallel-algorithm aggressive `
+            --max-threads 2.0x
         env:
           # Cosmos DB Emulator connection settings
           COSMOSDB_ENDPOINT: https://localhost:8081
           COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
           # OpenAI Models
-          OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
-          OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
-          OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+          OPENAI_CHAT_MODEL_NAME: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
+          OPENAI_REASONING_MODEL_NAME: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
           # Azure OpenAI Models
-          AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
-          AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+          AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
+          AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
+          AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
           # Azure AI Foundry
-          AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
-          AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
-          AzureAI__BingConnectionId: ${{ vars.AZUREAI__BINGCONECTIONID }}
-          FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-          FOUNDRY_MEDIA_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MEDIA_DEPLOYMENT_NAME }}
-          FOUNDRY_MODEL_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MODEL_DEPLOYMENT_NAME }}
-          FOUNDRY_CONNECTION_GROUNDING_TOOL: ${{ vars.FOUNDRY_CONNECTION_GROUNDING_TOOL }}
+          AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+          AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+          AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
 
       # Generate test reports and check coverage
       - name: Generate test reports
         if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
-        uses: danielpalme/ReportGenerator-GitHub-Action@5.5.1
+        uses: danielpalme/ReportGenerator-GitHub-Action@5.5.3
         with:
-          reports: "./TestResults/Coverage/**/coverage.cobertura.xml"
+          reports: "./TestResults/Coverage/**/*.cobertura.xml"
           targetdir: "./TestResults/Reports"
           reporttypes: "HtmlInline;JsonSummary"
 
       - name: Upload coverage report artifact
         if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v7
         with:
           name: CoverageReport-${{ matrix.os }}-${{ matrix.targetFramework }}-${{ matrix.configuration }} # Artifact name
           path: ./TestResults/Reports # Directory containing files to upload
@@ -239,13 +297,13 @@ jobs:
       - name: Check coverage
         if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
         shell: pwsh
-        run: .github/workflows/dotnet-check-coverage.ps1 -JsonReportPath "TestResults/Reports/Summary.json" -CoverageThreshold $env:COVERAGE_THRESHOLD
+        run: ./dotnet/eng/scripts/dotnet-check-coverage.ps1 -JsonReportPath "TestResults/Reports/Summary.json" -CoverageThreshold $env:COVERAGE_THRESHOLD
 
   # This final job is required to satisfy the merge queue. It must only run (or succeed) if no tests failed
   dotnet-build-and-test-check:
     if: always()
     runs-on: ubuntu-latest
-    needs: [dotnet-build-and-test]
+    needs: [dotnet-build, dotnet-test]
     steps:
       - name: Get Date
         shell: bash

.github/workflows/dotnet-format.yml

@@ -86,11 +86,10 @@ jobs:
         run: docker pull mcr.microsoft.com/dotnet/sdk:${{ matrix.dotnet }}
 
       # This step will run dotnet format on each of the unique csproj files and fail if any changes are made
-      # exclude-diagnostics should be removed after fixes for IL2026 and IL3050 are out: https://github.com/dotnet/sdk/issues/51136
       - name: Run dotnet format
         if: steps.find-csproj.outputs.csproj_files != ''
         run: |
           for csproj in ${{ steps.find-csproj.outputs.csproj_files }}; do
             echo "Running dotnet format on $csproj"
-            docker run --rm -v $(pwd):/app -w /app mcr.microsoft.com/dotnet/sdk:${{ matrix.dotnet }} /bin/sh -c "dotnet format $csproj --verify-no-changes --verbosity diagnostic --exclude-diagnostics IL2026 IL3050"
+            docker run --rm -v $(pwd):/app -w /app mcr.microsoft.com/dotnet/sdk:${{ matrix.dotnet }} /bin/sh -c "dotnet format $csproj --verify-no-changes --verbosity diagnostic"
           done

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

@@ -50,7 +50,7 @@ jobs:
           echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
 
       - name: Setup dotnet
-        uses: actions/setup-dotnet@v5.1.0
+        uses: actions/setup-dotnet@v5.2.0
         with:
           global-json-file: ${{ github.workspace }}/dotnet/global.json
 

.github/workflows/merge-gatekeeper.yml

@@ -29,4 +29,7 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
           timeout: 3600
           interval: 30
-          ignored: CodeQL,CodeQL analysis (csharp)
+          # "Cleanup artifacts", "Agent", "Prepare", and "Upload results" are check runs
+          # created by an org-level GitHub App (MSDO), not by any workflow in this repo.
+          # They are outside our control and their transient failures should not block merges.
+          ignored: CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results

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

@@ -41,8 +41,7 @@ ENFORCED_TARGETS: set[str] = {
     "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",
+    "packages.openai.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

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

@@ -18,7 +18,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.11"]
     runs-on: ubuntu-latest
     continue-on-error: true
     defaults:
@@ -55,7 +55,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.11"]
     runs-on: ubuntu-latest
     continue-on-error: true
     defaults:
@@ -75,7 +75,7 @@ jobs:
           os: ${{ runner.os }}
         env:
           UV_CACHE_DIR: /tmp/.uv-cache
-      - name: Run fmt, lint, pyright in parallel across packages
+      - name: Run syntax and pyright across packages
         run: uv run poe check-packages
 
   samples-markdown:
@@ -84,7 +84,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.11"]
     runs-on: ubuntu-latest
     continue-on-error: true
     defaults:
@@ -104,10 +104,8 @@ jobs:
           os: ${{ runner.os }}
         env:
           UV_CACHE_DIR: /tmp/.uv-cache
-      - name: Run samples lint
-        run: uv run poe samples-lint
-      - name: Run samples syntax check
-        run: uv run poe samples-syntax
+      - name: Run samples checks
+        run: uv run poe check -S
       - name: Run markdown code lint
         run: uv run poe markdown-code-lint
 
@@ -117,7 +115,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.11"]
     runs-on: ubuntu-latest
     continue-on-error: true
     defaults:
@@ -140,4 +138,4 @@ jobs:
       - name: Run Mypy
         env:
           GITHUB_BASE_REF: ${{ github.event.pull_request.base.ref || github.base_ref || 'main' }}
-        run: uv run poe ci-mypy
+        run: uv run python scripts/workspace_poe_tasks.py ci-mypy

.github/workflows/python-dependency-range-validation.yml

@@ -0,0 +1,216 @@
+# Probe the highest allowed dependency versions, then open issues/PRs from the passing updates.
+name: Python - Dependency Range Validation
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: write
+  issues: write
+  pull-requests: write
+
+env:
+  UV_CACHE_DIR: /tmp/.uv-cache
+
+jobs:
+  dependency-range-validation:
+    name: Dependency Range Validation
+    runs-on: ubuntu-latest
+    env:
+      # For now only run 3.13, if we do encounter situations where there are mismatches between packages and python versions (other then 3.10 and 3.14 which are known to not be able to install everything)
+      # then we will have to reevaluate.
+      UV_PYTHON: "3.13"
+      GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+    steps:
+      - uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Set up python and install the project
+        uses: ./.github/actions/python-setup
+        with:
+          python-version: ${{ env.UV_PYTHON }}
+          os: ${{ runner.os }}
+        env:
+          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Run dependency range validation
+        id: validate_ranges
+        # Keep workflow running so we can still publish diagnostics from this run.
+        continue-on-error: true
+        run: uv run poe validate-dependency-bounds-project --mode upper --package "*"
+        working-directory: ./python
+
+      - name: Upload dependency range report
+        # Always publish the report so failures are inspectable even when validation fails.
+        if: always()
+        uses: actions/upload-artifact@v7
+        with:
+          name: dependency-range-results
+          path: python/scripts/dependencies/dependency-range-results.json
+          if-no-files-found: warn
+
+      - name: Create issues for failed dependency candidates
+        # Always process the report so failed candidates create actionable tracking issues.
+        if: always()
+        uses: actions/github-script@v8
+        with:
+          script: |
+            const fs = require("fs")
+            const reportPath = "python/scripts/dependencies/dependency-range-results.json"
+
+            if (!fs.existsSync(reportPath)) {
+              core.warning(`No dependency range report found at ${reportPath}`)
+              return
+            }
+
+            const report = JSON.parse(fs.readFileSync(reportPath, "utf8"))
+            const dependencyFailures = []
+
+            for (const packageResult of report.packages ?? []) {
+              for (const dependency of packageResult.dependencies ?? []) {
+                const candidateVersions = new Set(dependency.candidate_versions ?? [])
+                const failedAttempts = (dependency.attempts ?? []).filter(
+                  (attempt) => attempt.status === "failed" && candidateVersions.has(attempt.trial_upper)
+                )
+                if (!failedAttempts.length) {
+                  continue
+                }
+
+                const failuresByVersion = new Map()
+                for (const attempt of failedAttempts) {
+                  const version = attempt.trial_upper || "unknown"
+                  if (!failuresByVersion.has(version)) {
+                    failuresByVersion.set(version, attempt.error || "No error output captured.")
+                  }
+                }
+
+                dependencyFailures.push({
+                  packageName: packageResult.package_name,
+                  projectPath: packageResult.project_path,
+                  dependencyName: dependency.name,
+                  originalRequirements: dependency.original_requirements ?? [],
+                  finalRequirements: dependency.final_requirements ?? [],
+                  failedVersions: [...failuresByVersion.entries()].map(([version, error]) => ({ version, error })),
+                })
+              }
+            }
+
+            if (!dependencyFailures.length) {
+              core.info("No failing dependency candidates found.")
+              return
+            }
+
+            const owner = context.repo.owner
+            const repo = context.repo.repo
+            const openIssues = await github.paginate(github.rest.issues.listForRepo, {
+              owner,
+              repo,
+              state: "open",
+              per_page: 100,
+            })
+            const openIssueTitles = new Set(
+              openIssues.filter((issue) => !issue.pull_request).map((issue) => issue.title)
+            )
+
+            const formatError = (message) => String(message || "No error output captured.").replace(/```/g, "'''")
+
+            for (const failure of dependencyFailures) {
+              const title = `Dependency validation failed: ${failure.dependencyName} (${failure.packageName})`
+              if (openIssueTitles.has(title)) {
+                core.info(`Issue already exists: ${title}`)
+                continue
+              }
+
+              const visibleFailures = failure.failedVersions.slice(0, 5)
+              const omittedCount = failure.failedVersions.length - visibleFailures.length
+              const failureDetails = visibleFailures
+                .map(
+                  (entry) =>
+                    `- \`${entry.version}\`\n\n\`\`\`\n${formatError(entry.error).slice(0, 3500)}\n\`\`\``
+                )
+                .join("\n\n")
+
+              const body = [
+                "Automated dependency range validation found candidate versions that failed checks.",
+                "",
+                `- Package: \`${failure.packageName}\``,
+                `- Project path: \`${failure.projectPath}\``,
+                `- Dependency: \`${failure.dependencyName}\``,
+                `- Original requirements: ${
+                  failure.originalRequirements.length
+                    ? failure.originalRequirements.map((value) => `\`${value}\``).join(", ")
+                    : "_none_"
+                }`,
+                `- Final requirements after run: ${
+                  failure.finalRequirements.length
+                    ? failure.finalRequirements.map((value) => `\`${value}\``).join(", ")
+                    : "_none_"
+                }`,
+                "",
+                "### Failed versions and errors",
+                failureDetails,
+                omittedCount > 0 ? `\n_Additional failed versions omitted: ${omittedCount}_` : "",
+                "",
+                `Workflow run: ${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`,
+              ].join("\n")
+
+              await github.rest.issues.create({
+                owner,
+                repo,
+                title,
+                body,
+              })
+              openIssueTitles.add(title)
+              core.info(`Created issue: ${title}`)
+            }
+
+      - name: Refresh lockfile
+        # Only refresh lockfile after a clean validation to avoid committing known-bad ranges.
+        if: steps.validate_ranges.outcome == 'success'
+        run: uv lock --upgrade
+        working-directory: ./python
+
+      - name: Commit and push dependency updates
+        id: commit_updates
+        if: steps.validate_ranges.outcome == 'success'
+        run: |
+          BRANCH="automation/python-dependency-range-updates"
+
+          git config user.name "github-actions[bot]"
+          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
+          git checkout -B "${BRANCH}"
+
+          git add python/packages/*/pyproject.toml python/uv.lock
+          if git diff --cached --quiet; then
+            echo "has_changes=false" >> "$GITHUB_OUTPUT"
+            echo "No dependency updates to commit."
+            exit 0
+          fi
+
+          git commit -m "chore: update dependency ranges"
+          git push --force-with-lease --set-upstream origin "${BRANCH}"
+          echo "has_changes=true" >> "$GITHUB_OUTPUT"
+
+      - name: Create or update pull request with GitHub CLI
+        # Only open/update PRs for validated updates to keep automation branches trustworthy.
+        if: steps.validate_ranges.outcome == 'success' && steps.commit_updates.outputs.has_changes == 'true'
+        run: |
+          BRANCH="automation/python-dependency-range-updates"
+          PR_TITLE="Python: chore: update dependency ranges"
+          PR_BODY_FILE="$(mktemp)"
+
+          cat > "${PR_BODY_FILE}" <<'EOF'
+          This PR was generated by the dependency range validation workflow.
+
+          - Ran `uv run poe validate-dependency-bounds-project --mode upper --package "*"`
+          - Updated package dependency bounds
+          - Refreshed `python/uv.lock` with `uv lock --upgrade`
+          EOF
+
+          PR_NUMBER="$(gh pr list --head "${BRANCH}" --base main --state open --json number --jq '.[0].number')"
+          if [ -n "${PR_NUMBER}" ]; then
+            gh pr edit "${PR_NUMBER}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
+          else
+            gh pr create --base main --head "${BRANCH}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
+          fi

.github/workflows/python-dev-dependency-upgrade.yml

@@ -0,0 +1,91 @@
+name: Python - Dev Dependency Upgrade
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: write
+  pull-requests: write
+
+env:
+  UV_CACHE_DIR: /tmp/.uv-cache
+
+jobs:
+  upgrade-dev-dependencies:
+    name: Upgrade Dev Dependencies
+    runs-on: ubuntu-latest
+    env:
+      UV_PYTHON: "3.13"
+      GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+    steps:
+      - uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Set up python and install the project
+        uses: ./.github/actions/python-setup
+        with:
+          python-version: ${{ env.UV_PYTHON }}
+          os: ${{ runner.os }}
+        env:
+          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Upgrade dev dependencies and validate workspace
+        run: uv run poe upgrade-dev-dependencies
+        working-directory: ./python
+
+      - name: Commit and push dev dependency updates
+        id: commit_updates
+        run: |
+          BRANCH="automation/python-dev-dependency-updates"
+
+          git config user.name "github-actions[bot]"
+          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
+          git checkout -B "${BRANCH}"
+
+          git add python/pyproject.toml python/packages/*/pyproject.toml python/uv.lock
+          if git diff --cached --quiet; then
+            echo "has_changes=false" >> "$GITHUB_OUTPUT"
+            echo "No dev dependency updates to commit."
+            exit 0
+          fi
+
+          git commit -F- <<'EOF'
+          Python: chore: upgrade dev dependencies
+          EOF
+          git push --force-with-lease --set-upstream origin "${BRANCH}"
+          echo "has_changes=true" >> "$GITHUB_OUTPUT"
+
+      - name: Create or update pull request with GitHub CLI
+        if: steps.commit_updates.outputs.has_changes == 'true'
+        run: |
+          BRANCH="automation/python-dev-dependency-updates"
+          PR_TITLE="Python: chore: upgrade dev dependencies"
+          PR_BODY_FILE="$(mktemp)"
+
+          cat > "${PR_BODY_FILE}" <<'EOF'
+          ### Motivation and Context
+
+          This automated update refreshes Python dev dependency pins across the workspace and reruns the repo validation gates before opening a pull request.
+
+          ### Description
+
+          - Ran `uv run poe upgrade-dev-dependencies`
+          - Refreshed dev dependency pins in workspace `pyproject.toml` files
+          - Refreshed `python/uv.lock` with `uv lock --upgrade`
+          - Reinstalled from the frozen lockfile and reran `check`, `typing`, and `test`
+
+          ### Contribution Checklist
+
+          - [x] The code builds clean without any errors or warnings
+          - [x] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
+          - [x] All unit tests pass, and I have added new tests where possible
+          - [ ] **Is this a breaking change?** If yes, add "[BREAKING]" prefix to the title of the PR.
+          EOF
+
+          PR_NUMBER="$(gh pr list --head "${BRANCH}" --base main --state open --json number --jq '.[0].number')"
+          if [ -n "${PR_NUMBER}" ]; then
+            gh pr edit "${PR_NUMBER}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
+          else
+            gh pr create --base main --head "${BRANCH}" --title "${PR_TITLE}" --body-file "${PR_BODY_FILE}"
+          fi

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

@@ -48,9 +48,8 @@ jobs:
           os: ${{ runner.os }}
       - name: Test with pytest (unit tests only)
         run: >
-          uv run poe all-tests
+          uv run poe test -A
           -m "not integration"
-          -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
 
@@ -64,6 +63,8 @@ jobs:
       OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
       OPENAI_EMBEDDINGS_MODEL_ID: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
       OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
     defaults:
       run:
@@ -82,8 +83,8 @@ jobs:
       - name: Test with pytest (OpenAI integration)
         run: >
           uv run pytest --import-mode=importlib
-          packages/core/tests/openai
-          -m integration
+          packages/openai/tests
+          -m "integration and not azure"
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
@@ -95,8 +96,9 @@ jobs:
     environment: integration
     timeout-minutes: 60
     env:
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
     defaults:
@@ -122,7 +124,9 @@ jobs:
       - name: Test with pytest (Azure OpenAI integration)
         run: >
           uv run pytest --import-mode=importlib
-          packages/core/tests/azure
+          packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
+          packages/openai/tests/openai/test_openai_chat_client_azure.py
+          packages/azure-ai/tests/azure_openai
           -m integration
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
@@ -152,6 +156,13 @@ jobs:
         with:
           python-version: ${{ env.UV_PYTHON }}
           os: ${{ runner.os }}
+      - name: Start local MCP server
+        id: local-mcp
+        uses: ./.github/actions/setup-local-mcp-server
+        with:
+          fallback_url: ${{ env.LOCAL_MCP_URL }}
+      - name: Prefer local MCP URL when available
+        run: echo "LOCAL_MCP_URL=${{ steps.local-mcp.outputs.effective_url }}" >> "$GITHUB_ENV"
       - name: Test with pytest (Anthropic, Ollama, MCP integration)
         run: >
           uv run pytest --import-mode=importlib
@@ -162,6 +173,26 @@ jobs:
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+      - name: Stop local MCP server
+        if: always()
+        shell: bash
+        run: |
+          set -euo pipefail
+          server_pid="${{ steps.local-mcp.outputs.pid }}"
+          if [[ -z "$server_pid" ]]; then
+            exit 0
+          fi
+          if ! kill -0 "$server_pid" 2>/dev/null; then
+            exit 0
+          fi
+          kill -TERM -- "-$server_pid" 2>/dev/null || kill -TERM "$server_pid" 2>/dev/null || true
+          for _ in $(seq 1 10); do
+            if ! kill -0 "$server_pid" 2>/dev/null; then
+              exit 0
+            fi
+            sleep 1
+          done
+          kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" 2>/dev/null || true
 
   # Azure Functions + Durable Task integration tests
   python-tests-functions:
@@ -170,13 +201,16 @@ jobs:
     environment: integration
     timeout-minutes: 60
     env:
-      UV_PYTHON: "3.10"
+      UV_PYTHON: "3.11"
       OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      FOUNDRY_MODEL: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
       FUNCTIONS_WORKER_RUNTIME: "python"
       DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
       AzureWebJobsStorage: "UseDevelopmentStorage=true"
@@ -210,7 +244,8 @@ jobs:
           packages/durabletask/tests/integration_tests
           -m integration
           -n logical --dist worksteal
-          --timeout=120 --session-timeout=900 --timeout_method thread
+          -x
+          --timeout=360 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
 
   # Azure AI integration tests
@@ -222,6 +257,8 @@ jobs:
     env:
       AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
       AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
       LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
     defaults:
       run:
@@ -245,7 +282,54 @@ jobs:
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
       - name: Test with pytest
         timeout-minutes: 15
-        run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+        run: |
+          uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+          uv run --directory packages/foundry poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+
+  # Azure Cosmos integration tests
+  python-tests-cosmos:
+    name: Python Integration Tests - Cosmos
+    runs-on: ubuntu-latest
+    environment: integration
+    timeout-minutes: 60
+    services:
+      cosmosdb:
+        image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview
+        ports:
+          - 8081:8081
+    env:
+      AZURE_COSMOS_ENDPOINT: "http://localhost:8081/"
+      # Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator
+      AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
+      AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db"
+      AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container"
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+        with:
+          ref: ${{ inputs.checkout-ref }}
+          persist-credentials: false
+      - name: Set up python and install the project
+        id: python-setup
+        uses: ./.github/actions/python-setup
+        with:
+          python-version: ${{ env.UV_PYTHON }}
+          os: ${{ runner.os }}
+      - name: Wait for Cosmos DB emulator
+        run: |
+          for i in {1..60}; do
+            if curl --silent --show-error http://localhost:8081/ > /dev/null; then
+              echo "Cosmos DB emulator is ready."
+              exit 0
+            fi
+            sleep 2
+          done
+          echo "Cosmos DB emulator did not become ready in time." >&2
+          exit 1
+      - name: Test with pytest (Cosmos integration)
+        run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
 
   python-integration-tests-check:
     if: always()
@@ -257,7 +341,8 @@ jobs:
         python-tests-azure-openai,
         python-tests-misc-integration,
         python-tests-functions,
-        python-tests-azure-ai
+        python-tests-azure-ai,
+        python-tests-cosmos
       ]
     steps:
       - name: Fail workflow if tests failed

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

@@ -67,6 +67,7 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           os: ${{ runner.os }}
+          exclude-packages: ${{ matrix.python-version == '3.10' && 'agent-framework-github-copilot' || '' }}
         env:
           # Configure a constant location for the uv cache
           UV_CACHE_DIR: /tmp/.uv-cache
@@ -75,6 +76,9 @@ jobs:
       - name: Run lab tests
         run: cd packages/lab && uv run poe test
 
+      - name: Run resource-intensive lab tests
+        run: cd packages/lab && uv run pytest -m "resource_intensive and not integration" --junitxml=test-results-resource-intensive.xml
+
       - name: Run lab lint
         run: cd packages/lab && uv run poe lint
 

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

@@ -38,6 +38,7 @@ jobs:
       miscChanged: ${{ steps.filter.outputs.misc }}
       functionsChanged: ${{ steps.filter.outputs.functions }}
       azureAiChanged: ${{ steps.filter.outputs.azure-ai }}
+      cosmosChanged: ${{ steps.filter.outputs.cosmos }}
     steps:
       - uses: actions/checkout@v6
       - uses: dorny/paths-filter@v3
@@ -46,6 +47,9 @@ jobs:
           filters: |
             python:
               - 'python/**'
+              - '.github/actions/setup-local-mcp-server/**'
+              - '.github/workflows/python-merge-tests.yml'
+              - '.github/workflows/python-integration-tests.yml'
             core:
               - 'python/packages/core/agent_framework/_*.py'
               - 'python/packages/core/agent_framework/_workflows/**'
@@ -53,20 +57,32 @@ jobs:
               - 'python/packages/core/agent_framework/observability.py'
             openai:
               - 'python/packages/core/agent_framework/openai/**'
-              - 'python/packages/core/tests/openai/**'
+              - 'python/packages/openai/**'
+              - 'python/samples/**/providers/openai/**'
             azure:
+              - 'python/packages/openai/**'
               - 'python/packages/core/agent_framework/azure/**'
-              - 'python/packages/core/tests/azure/**'
+              - 'python/packages/azure-ai/agent_framework_azure_ai/_deprecated_azure_openai.py'
+              - 'python/packages/azure-ai/tests/azure_openai/**'
+              - 'python/samples/**/providers/azure/openai_chat_completion_client_azure*.py'
             misc:
               - 'python/packages/anthropic/**'
               - 'python/packages/ollama/**'
               - 'python/packages/core/agent_framework/_mcp.py'
               - 'python/packages/core/tests/core/test_mcp.py'
+              - 'python/scripts/local_mcp_streamable_http_server.py'
+              - '.github/actions/setup-local-mcp-server/**'
+              - '.github/workflows/python-merge-tests.yml'
+              - '.github/workflows/python-integration-tests.yml'
             functions:
               - 'python/packages/azurefunctions/**'
               - 'python/packages/durabletask/**'
             azure-ai:
               - 'python/packages/azure-ai/**'
+              - 'python/packages/foundry/**'
+              - 'python/samples/**/providers/foundry/**'
+            cosmos:
+              - 'python/packages/azure-cosmos/**'
       # run only if 'python' files were changed
       - name: python tests
         if: steps.filter.outputs.python == 'true'
@@ -97,9 +113,8 @@ jobs:
           os: ${{ runner.os }}
       - name: Test with pytest (unit tests only)
         run: >
-          uv run poe all-tests
+          uv run poe test -A
           -m "not integration"
-          -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
         working-directory: ./python
@@ -129,6 +144,8 @@ jobs:
       OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
       OPENAI_EMBEDDINGS_MODEL_ID: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
       OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
     defaults:
       run:
@@ -144,8 +161,8 @@ jobs:
       - name: Test with pytest (OpenAI integration)
         run: >
           uv run pytest --import-mode=importlib
-          packages/core/tests/openai
-          -m integration
+          packages/openai/tests
+          -m "integration and not azure"
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
@@ -178,8 +195,9 @@ jobs:
     runs-on: ubuntu-latest
     environment: integration
     env:
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
     defaults:
@@ -203,7 +221,9 @@ jobs:
       - name: Test with pytest (Azure OpenAI integration)
         run: >
           uv run pytest --import-mode=importlib
-          packages/core/tests/azure
+          packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
+          packages/openai/tests/openai/test_openai_chat_client_azure.py
+          packages/azure-ai/tests/azure_openai
           -m integration
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
@@ -251,6 +271,13 @@ jobs:
         with:
           python-version: ${{ env.UV_PYTHON }}
           os: ${{ runner.os }}
+      - name: Start local MCP server
+        id: local-mcp
+        uses: ./.github/actions/setup-local-mcp-server
+        with:
+          fallback_url: ${{ env.LOCAL_MCP_URL }}
+      - name: Prefer local MCP URL when available
+        run: echo "LOCAL_MCP_URL=${{ steps.local-mcp.outputs.effective_url }}" >> "$GITHUB_ENV"
       - name: Test with pytest (Anthropic, Ollama, MCP integration)
         run: >
           uv run pytest --import-mode=importlib
@@ -262,6 +289,26 @@ jobs:
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
         working-directory: ./python
+      - name: Stop local MCP server
+        if: always()
+        shell: bash
+        run: |
+          set -euo pipefail
+          server_pid="${{ steps.local-mcp.outputs.pid }}"
+          if [[ -z "$server_pid" ]]; then
+            exit 0
+          fi
+          if ! kill -0 "$server_pid" 2>/dev/null; then
+            exit 0
+          fi
+          kill -TERM -- "-$server_pid" 2>/dev/null || kill -TERM "$server_pid" 2>/dev/null || true
+          for _ in $(seq 1 10); do
+            if ! kill -0 "$server_pid" 2>/dev/null; then
+              exit 0
+            fi
+            sleep 1
+          done
+          kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" 2>/dev/null || true
       - name: Surface failing tests
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
@@ -285,13 +332,16 @@ jobs:
     runs-on: ubuntu-latest
     environment: integration
     env:
-      UV_PYTHON: "3.10"
+      UV_PYTHON: "3.11"
       OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      FOUNDRY_MODEL: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
       FUNCTIONS_WORKER_RUNTIME: "python"
       DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
       AzureWebJobsStorage: "UseDevelopmentStorage=true"
@@ -323,7 +373,8 @@ jobs:
           packages/durabletask/tests/integration_tests
           -m integration
           -n logical --dist worksteal
-          --timeout=120 --session-timeout=900 --timeout_method thread
+          -x
+          --timeout=360 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
         working-directory: ./python
       - name: Surface failing tests
@@ -350,6 +401,8 @@ jobs:
     env:
       AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
       AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
       LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
     defaults:
       run:
@@ -371,7 +424,9 @@ jobs:
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
       - name: Test with pytest
         timeout-minutes: 15
-        run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+        run: |
+          uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+          uv run --directory packages/foundry poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
         working-directory: ./python
       - name: Test Azure AI samples
         timeout-minutes: 10
@@ -390,6 +445,64 @@ jobs:
 
   # TODO: Add python-tests-lab
 
+  # Azure Cosmos integration tests
+  python-tests-cosmos:
+    name: Python Tests - Cosmos Integration
+    needs: paths-filter
+    if: >
+      github.event_name != 'pull_request' &&
+      needs.paths-filter.outputs.pythonChanges == 'true' &&
+      (github.event_name != 'merge_group' ||
+       needs.paths-filter.outputs.cosmosChanged == 'true' ||
+       needs.paths-filter.outputs.coreChanged == 'true')
+    runs-on: ubuntu-latest
+    environment: integration
+    services:
+      cosmosdb:
+        image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview
+        ports:
+          - 8081:8081
+    env:
+      AZURE_COSMOS_ENDPOINT: "http://localhost:8081/"
+      # Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator
+      AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
+      AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db"
+      AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container"
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+      - name: Set up python and install the project
+        id: python-setup
+        uses: ./.github/actions/python-setup
+        with:
+          python-version: ${{ env.UV_PYTHON }}
+          os: ${{ runner.os }}
+      - name: Wait for Cosmos DB emulator
+        run: |
+          for i in {1..60}; do
+            if curl --silent --show-error http://localhost:8081/ > /dev/null; then
+              echo "Cosmos DB emulator is ready."
+              exit 0
+            fi
+            sleep 2
+          done
+          echo "Cosmos DB emulator did not become ready in time." >&2
+          exit 1
+      - name: Test with pytest (Cosmos integration)
+        run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+        working-directory: ./python
+      - name: Surface failing tests
+        if: always()
+        uses: pmeier/pytest-results-action@v0.7.2
+        with:
+          path: ./python/**.xml
+          summary: true
+          display-options: fEX
+          fail-on-empty: false
+          title: Cosmos integration test results
+
   python-integration-tests-check:
     if: always()
     runs-on: ubuntu-latest
@@ -401,6 +514,7 @@ jobs:
         python-tests-misc-integration,
         python-tests-functions,
         python-tests-azure-ai,
+        python-tests-cosmos,
       ]
     steps:
       - name: Fail workflow if tests failed

.github/workflows/python-sample-validation.yml

@@ -8,297 +8,810 @@ on:
 env:
   # Configure a constant location for the uv cache
   UV_CACHE_DIR: /tmp/.uv-cache
+  # GitHub Copilot configuration
+  GITHUB_COPILOT_MODEL: claude-opus-4.6
+  COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
+
+permissions:
+  contents: read
+  id-token: write
 
 jobs:
   validate-01-get-started:
     name: Validate 01-get-started
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
-      # Azure AI configuration for get-started samples
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
+      # Required configuration for get-started samples
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME=$AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=$AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" >> .env
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir 01-get-started --save-report --report-name 01-get-started
+          cd scripts && uv run python -m sample_validation --subdir 01-get-started --save-report --report-name 01-get-started
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-01-get-started
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
 
   validate-02-agents:
     name: Validate 02-agents
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
       # Azure AI configuration
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
-      AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
       # OpenAI configuration
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }}
-      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_RESPONSES_MODEL_ID }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+      # GitHub MCP
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       # Observability
       ENABLE_INSTRUMENTATION: "true"
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_AI_MODEL_DEPLOYMENT_NAME=$AZURE_AI_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=$AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME=$AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=$AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME" >> .env
+          echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
+          echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
+          echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
+          echo "GITHUB_PAT=$GITHUB_PAT" >> .env
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir 02-agents --save-report --report-name 02-agents
+          cd scripts && uv run python -m sample_validation --subdir 02-agents --exclude providers --save-report --report-name 02-agents
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-02-agents
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-openai:
+    name: Validate 02-agents/providers/openai
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Create .env for samples
+        run: |
+          echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
+          echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
+          echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/openai --save-report --report-name 02-agents-openai
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-openai
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-azure-openai:
+    name: Validate 02-agents/providers/azure_openai
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=$AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME=$AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME" >> .env
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/azure_openai --save-report --report-name 02-agents-azure-openai
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-azure-openai
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-azure-ai:
+    name: Validate 02-agents/providers/azure_ai
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_AI_CHAT_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_AI_EMBEDDING_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
+      BING_CONNECTION_ID: ${{ secrets.BING_CONNECTION_ID }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_AI_MODEL_DEPLOYMENT_NAME=$AZURE_AI_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_AI_CHAT_MODEL_DEPLOYMENT_NAME=$AZURE_AI_CHAT_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_AI_EMBEDDING_MODEL_DEPLOYMENT_NAME=$AZURE_AI_EMBEDDING_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "BING_CONNECTION_ID=$BING_CONNECTION_ID" >> .env
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/azure_ai --save-report --report-name 02-agents-azure-ai
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-azure-ai
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-azure-ai-agent:
+    name: Validate 02-agents/providers/azure_ai_agent
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_AI_MODEL_DEPLOYMENT_NAME=$AZURE_AI_MODEL_DEPLOYMENT_NAME" >> .env
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/azure_ai_agent --save-report --report-name 02-agents-azure-ai-agent
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-azure-ai-agent
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-anthropic:
+    name: Validate 02-agents/providers/anthropic
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+      ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Create .env for samples
+        run: |
+          echo "ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY" >> .env
+          echo "ANTHROPIC_CHAT_MODEL_ID=$ANTHROPIC_CHAT_MODEL_ID" >> .env
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/anthropic --save-report --report-name 02-agents-anthropic
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-anthropic
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-github-copilot:
+    name: Validate 02-agents/providers/github_copilot
+    runs-on: ubuntu-latest
+    environment: integration
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/github_copilot --save-report --report-name 02-agents-github-copilot
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-github-copilot
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-amazon:
+    name: Validate 02-agents/providers/amazon
+    if: false # Temporarily disabled - requires AWS credentials
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      BEDROCK_CHAT_MODEL_ID: ${{ vars.BEDROCK__CHATMODELID }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/amazon --save-report --report-name 02-agents-amazon
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-amazon
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-ollama:
+    name: Validate 02-agents/providers/ollama
+    if: false # Temporarily disabled - requires local Ollama server
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      OLLAMA_MODEL: ${{ vars.OLLAMA__MODEL }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/ollama --save-report --report-name 02-agents-ollama
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-ollama
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-foundry-local:
+    name: Validate 02-agents/providers/foundry_local
+    if: false # Temporarily disabled - requires local Foundry setup
+    runs-on: ubuntu-latest
+    environment: integration
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/foundry_local --save-report --report-name 02-agents-foundry-local
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-foundry-local
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-copilotstudio:
+    name: Validate 02-agents/providers/copilotstudio
+    if: false # Temporarily disabled - requires Copilot Studio setup
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
+      COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
+      COPILOTSTUDIOAGENT__TENANTID: ${{ secrets.COPILOTSTUDIOAGENT__TENANTID }}
+      COPILOTSTUDIOAGENT__AGENTAPPID: ${{ secrets.COPILOTSTUDIOAGENT__AGENTAPPID }}
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Create .env for samples
+        run: |
+          echo "COPILOTSTUDIOAGENT__ENVIRONMENTID=$COPILOTSTUDIOAGENT__ENVIRONMENTID" >> .env
+          echo "COPILOTSTUDIOAGENT__SCHEMANAME=$COPILOTSTUDIOAGENT__SCHEMANAME" >> .env
+          echo "COPILOTSTUDIOAGENT__TENANTID=$COPILOTSTUDIOAGENT__TENANTID" >> .env
+          echo "COPILOTSTUDIOAGENT__AGENTAPPID=$COPILOTSTUDIOAGENT__AGENTAPPID" >> .env
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/copilotstudio --save-report --report-name 02-agents-copilotstudio
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-copilotstudio
+          path: python/samples/sample_validation/reports/
+
+  validate-02-agents-custom:
+    name: Validate 02-agents/providers/custom
+    runs-on: ubuntu-latest
+    environment: integration
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
+        with:
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+          os: ${{ runner.os }}
+
+      - name: Run sample validation
+        run: |
+          cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/custom --save-report --report-name 02-agents-custom
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-report-02-agents-custom
+          path: python/samples/sample_validation/reports/
 
   validate-03-workflows:
     name: Validate 03-workflows
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
       # Azure AI configuration
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
-      AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }}
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_AI_MODEL_DEPLOYMENT_NAME=$AZURE_AI_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=$AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME=$AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME" >> .env
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir 03-workflows --save-report --report-name 03-workflows
+          cd scripts && uv run python -m sample_validation --subdir 03-workflows --save-report --report-name 03-workflows
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-03-workflows
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
 
   validate-04-hosting:
     name: Validate 04-hosting
+    if: false # Temporarily disabled because of sample complexity
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
       # Azure AI configuration
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
-      AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }}
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      # A2A configuration
+      A2A_AGENT_HOST: http://localhost:5001/
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir 04-hosting --save-report --report-name 04-hosting
+          cd scripts && uv run python -m sample_validation --subdir 04-hosting --save-report --report-name 04-hosting
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-04-hosting
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
 
   validate-05-end-to-end:
     name: Validate 05-end-to-end
+    if: false # Temporarily disabled because of sample complexity
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
       # Azure AI configuration
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
-      AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure AI Search (for evaluation samples)
       AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }}
       AZURE_SEARCH_API_KEY: ${{ secrets.AZURE_SEARCH_API_KEY }}
       AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }}
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
+      # Evaluation sample
+      AZURE_AI_MODEL_DEPLOYMENT_NAME_WORKFLOW: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end
+          cd scripts && uv run python -m sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-05-end-to-end
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
 
   validate-autogen-migration:
     name: Validate autogen-migration
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
       # Azure AI configuration
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
-      AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      # OpenAI configuration
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_AI_MODEL_DEPLOYMENT_NAME=$AZURE_AI_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=$AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" >> .env
+          echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
+          echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
+          echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir autogen-migration --save-report --report-name autogen-migration
+          cd scripts && uv run python -m sample_validation --subdir autogen-migration --save-report --report-name autogen-migration
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-autogen-migration
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
 
   validate-semantic-kernel-migration:
     name: Validate semantic-kernel-migration
     runs-on: ubuntu-latest
-    permissions:
-      contents: read
+    environment: integration
     env:
       # Azure AI configuration
-      AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }}
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
+      AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
+      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
-      AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
-      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
-      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # OpenAI configuration
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }}
-      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_RESPONSES_MODEL_ID }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       # Copilot Studio
       COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
       COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
       COPILOTSTUDIOAGENT__TENANTID: ${{ secrets.COPILOTSTUDIOAGENT__TENANTID }}
       COPILOTSTUDIOAGENT__AGENTAPPID: ${{ secrets.COPILOTSTUDIOAGENT__AGENTAPPID }}
-      # GitHub Copilot configuration
-      GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }}
     defaults:
       run:
         working-directory: python
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
+      - name: Setup environment
+        uses: ./.github/actions/sample-validation-setup
         with:
-          python-version: "3.12"
+          azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
           os: ${{ runner.os }}
-        env:
-          UV_CACHE_DIR: /tmp/.uv-cache
+
+      - name: Create .env for samples
+        run: |
+          echo "AZURE_AI_PROJECT_ENDPOINT=$AZURE_AI_PROJECT_ENDPOINT" >> .env
+          echo "AZURE_AI_MODEL_DEPLOYMENT_NAME=$AZURE_AI_MODEL_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
+          echo "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=$AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" >> .env
+          echo "AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME=$AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME" >> .env
+          echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
+          echo "OPENAI_CHAT_MODEL_ID=$OPENAI_CHAT_MODEL_ID" >> .env
+          echo "OPENAI_RESPONSES_MODEL_ID=$OPENAI_RESPONSES_MODEL_ID" >> .env
+          echo "COPILOTSTUDIOAGENT__ENVIRONMENTID=$COPILOTSTUDIOAGENT__ENVIRONMENTID" >> .env
+          echo "COPILOTSTUDIOAGENT__SCHEMANAME=$COPILOTSTUDIOAGENT__SCHEMANAME" >> .env
+          echo "COPILOTSTUDIOAGENT__TENANTID=$COPILOTSTUDIOAGENT__TENANTID" >> .env
+          echo "COPILOTSTUDIOAGENT__AGENTAPPID=$COPILOTSTUDIOAGENT__AGENTAPPID" >> .env
 
       - name: Run sample validation
         run: |
-          cd samples && uv run python -m _sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration
+          cd scripts && uv run python -m sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration
 
       - name: Upload validation report
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         if: always()
         with:
           name: validation-report-semantic-kernel-migration
-          path: python/samples/_sample_validation/reports/
+          path: python/samples/sample_validation/reports/
+
+  aggregate-results:
+    name: Aggregate Results
+    runs-on: ubuntu-latest
+    if: always()
+    needs:
+      - validate-01-get-started
+      - validate-02-agents
+      - validate-02-agents-openai
+      - validate-02-agents-azure-openai
+      - validate-02-agents-azure-ai
+      - validate-02-agents-azure-ai-agent
+      - validate-02-agents-anthropic
+      - validate-02-agents-github-copilot
+      - validate-02-agents-amazon
+      - validate-02-agents-ollama
+      - validate-02-agents-foundry-local
+      - validate-02-agents-copilotstudio
+      - validate-02-agents-custom
+      - validate-03-workflows
+      - validate-04-hosting
+      - validate-05-end-to-end
+      - validate-autogen-migration
+      - validate-semantic-kernel-migration
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Download all validation reports
+        uses: actions/download-artifact@v7
+        with:
+          pattern: validation-report-*
+          path: reports/
+          merge-multiple: true
+
+      - name: Restore validation history
+        id: cache-restore
+        uses: actions/cache/restore@v4
+        with:
+          path: validation-history/
+          key: validation-history-${{ github.run_id }}
+          restore-keys: |
+            validation-history-
+
+      - name: Aggregate results and generate trend report
+        run: |
+          python3 python/scripts/sample_validation/aggregate.py \
+            reports/ \
+            validation-history/history.json \
+            trend-report.md
+
+      - name: Write trend report to job summary
+        run: cat trend-report.md >> "$GITHUB_STEP_SUMMARY"
+
+      - name: Save validation history
+        uses: actions/cache/save@v4
+        with:
+          path: validation-history/
+          key: validation-history-${{ github.run_id }}
+
+      - name: Upload trend report
+        uses: actions/upload-artifact@v7
+        if: always()
+        with:
+          name: validation-trend-report
+          path: trend-report.md

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

@@ -21,7 +21,7 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Download coverage report
-        uses: actions/download-artifact@v7
+        uses: actions/download-artifact@v8
         with:
           github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           run-id: ${{ github.event.workflow_run.id }}
@@ -46,7 +46,7 @@ jobs:
           echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
       - name: Pytest coverage comment
         id: coverageComment
-        uses: MishaKav/pytest-coverage-comment@v1.2.0
+        uses: MishaKav/pytest-coverage-comment@v1.6.0
         with:
           github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           issue-number: ${{ env.PR_NUMBER }}

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

@@ -20,7 +20,7 @@ jobs:
       run:
         working-directory: python
     env:
-      UV_PYTHON: "3.10"
+      UV_PYTHON: "3.11"
     steps:
       - uses: actions/checkout@v6
       # Save the PR number to a file since the workflow_run event
@@ -32,17 +32,17 @@ jobs:
         id: python-setup
         uses: ./.github/actions/python-setup
         with:
-          python-version: ${{ matrix.python-version }}
+          python-version: ${{ env.UV_PYTHON }}
           os: ${{ runner.os }}
         env:
           # Configure a constant location for the uv cache
           UV_CACHE_DIR: /tmp/.uv-cache
       - name: Run all tests with coverage report
-        run: uv run poe all-tests-cov --cov-report=xml:python-coverage.xml -q --junitxml=pytest.xml
+        run: uv run poe test -A -C --cov-report=xml:python-coverage.xml -q --junitxml=pytest.xml
       - name: Check coverage threshold
         run: python ${{ github.workspace }}/.github/workflows/python-check-coverage.py python-coverage.xml ${{ env.COVERAGE_THRESHOLD }}
       - name: Upload coverage report
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v7
         with:
           path: |
             python/python-coverage.xml

.github/workflows/python-tests.yml

@@ -34,12 +34,13 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           os: ${{ runner.os }}
+          exclude-packages: ${{ matrix.python-version == '3.10' && 'agent-framework-github-copilot' || '' }}
         env:
           # Configure a constant location for the uv cache
           UV_CACHE_DIR: /tmp/.uv-cache
       # Unit tests
       - name: Run all tests
-        run: uv run poe all-tests
+        run: uv run poe test -A
         working-directory: ./python
 
       # Surface failing tests

.github/workflows/stale-issue-pr-ping.yml

@@ -0,0 +1,49 @@
+name: Stale issue and PR ping
+
+on:
+  schedule:
+    - cron: '0 0 * * *'  # Midnight UTC daily
+  workflow_dispatch:
+    inputs:
+      days_threshold:
+        description: 'Days of silence before pinging the author'
+        required: false
+        default: '4'
+      dry_run:
+        description: 'Log what would be pinged without taking action'
+        required: false
+        default: 'false'
+        type: choice
+        options:
+          - 'false'
+          - 'true'
+
+concurrency:
+  group: stale-issue-pr-ping
+  cancel-in-progress: true
+
+jobs:
+  ping_stale:
+    name: "Ping stale issues and PRs"
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      issues: write
+      pull-requests: write
+    steps:
+      - uses: actions/checkout@v6
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.13'
+
+      - name: Install dependencies
+        run: pip install PyGithub==2.6.0
+
+      - name: Run stale issue/PR ping
+        run: python .github/scripts/stale_issue_pr_ping.py
+        env:
+          GITHUB_TOKEN: ${{ secrets.GH_ACTIONS_PR_WRITE }}
+          TEAM_SLUG: ${{ secrets.DEVELOPER_TEAM }}
+          DAYS_THRESHOLD: ${{ github.event.inputs.days_threshold || '4' }}
+          DRY_RUN: ${{ github.event.inputs.dry_run || 'false' }}

.gitignore

@@ -205,6 +205,9 @@ WARP.md
 **/memory-bank/
 **/projectBrief.md
 **/tmpclaude*
+# Dependency-bound validation reports
+python/scripts/dependency-*-results.json
+python/scripts/dependencies/dependency-*-results.json
 
 # Azurite storage emulator files
 */__azurite_db_blob__.json*

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/GettingStarted/Workflows/)
+  - [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/03-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/GettingStarted/AgentOpenTelemetry/)
+  - [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/02-agents/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/GettingStarted/AgentProviders/)
+  - [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/02-agents/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/GettingStarted/Agents/Agent_Step14_Middleware/)
+  - [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/)
 
 ### 💬 **We want your feedback!**
 
@@ -169,9 +169,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 
 ### .NET
 
-- [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
+- [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
 
 ## Contributor Resources
 

agent-samples/openai/OpenAIResponses.yaml

@@ -11,7 +11,7 @@ model:
         topP: 0.95
     connection:
         kind: key
-        apiKey: =Env.OPENAI_APIKEY
+        apiKey: =Env.OPENAI_API_KEY
 outputSchema:
     properties:
         language:

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

@@ -4,8 +4,8 @@ status: accepted
 contact: westey-m
 date: 2025-07-10 {YYYY-MM-DD when the decision was last updated}
 deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub
-consulted: 
-informed: 
+consulted:
+informed:
 ---
 
 # Agent Run Responses Design
@@ -64,7 +64,7 @@ Approaches observed from the compared SDKs:
 | AutoGen | **Approach 1** Separates messages into Agent-Agent (maps to Primary) and Internal (maps to Secondary) and these are returned as separate properties on the agent response object.  See [types of messages](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/messages.html#types-of-messages) and [Response](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.Response) | **Approach 2** Returns a stream of internal events and the last item is a Response object. See [ChatAgent.on_messages_stream](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.ChatAgent.on_messages_stream) |
 | OpenAI Agent SDK | **Approach 1** Separates new_items (Primary+Secondary) from final output (Primary) as separate properties on the [RunResult](https://github.com/openai/openai-agents-python/blob/main/src/agents/result.py#L39) | **Approach 1** Similar to non-streaming, has a way of streaming updates via a method on the response object which includes all data, and then a separate final output property on the response object which is populated only when the run is complete. See [RunResultStreaming](https://github.com/openai/openai-agents-python/blob/main/src/agents/result.py#L136) |
 | Google ADK | **Approach 2** [Emits events](https://google.github.io/adk-docs/runtime/#step-by-step-breakdown) with [FinalResponse](https://github.com/google/adk-java/blob/main/core/src/main/java/com/google/adk/events/Event.java#L232) true (Primary) / false (Secondary) and callers have to filter out those with false to get just the final response message | **Approach 2** Similar to non-streaming except [events](https://google.github.io/adk-docs/runtime/#streaming-vs-non-streaming-output-partialtrue) are emitted with [Partial](https://github.com/google/adk-java/blob/main/core/src/main/java/com/google/adk/events/Event.java#L133) true to indicate that they are streaming messages. A final non partial event is also emitted. |
-| AWS (Strands) | **Approach 3** Returns an [AgentResult](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent_result/) (Primary) with messages and a reason for the run's completion. | **Approach 2** [Streams events](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.stream_async) (Primary+Secondary) including, response text, current_tool_use, even data from "callbacks" (strands plugins) |
+| AWS (Strands) | **Approach 3** Returns an [AgentResult](https://strandsagents.com/docs/api/python/strands.agent.agent_result/) (Primary) with messages and a reason for the run's completion. | **Approach 2** [Streams events](https://strandsagents.com/docs/api/python/strands.agent.agent/) (Primary+Secondary) including, response text, current_tool_use, even data from "callbacks" (strands plugins) |
 | LangGraph | **Approach 2** A mixed list of all [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) | **Approach 2** A mixed list of all [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) |
 | Agno | **Combination of various approaches** Returns a [RunResponse](https://docs.agno.com/reference/agents/run-response) object with text content, messages (essentially chat history including inputs and instructions), reasoning and thinking text properties. Secondary events could potentially be extracted from messages. | **Approach 2** Returns [RunResponseEvent](https://docs.agno.com/reference/agents/run-response#runresponseevent-types-and-attributes) objects including tool call, memory update, etc, information, where the [RunResponseCompletedEvent](https://docs.agno.com/reference/agents/run-response#runresponsecompletedevent) has similar properties to RunResponse|
 | A2A | **Approach 3** Returns a [Task or Message](https://a2aproject.github.io/A2A/latest/specification/#71-messagesend) where the message is the final result (Primary) and task is a reference to a long running process. | **Approach 2** Returns a [stream](https://a2aproject.github.io/A2A/latest/specification/#72-messagestream) that contains task updates (Secondary) and a final message (Primary) |
@@ -496,9 +496,9 @@ We need to decide what AIContent types, each agent response type will be mapped
 |-|-|
 | AutoGen | **Approach 1** Supports [configuring an agent](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/agents.html#structured-output) at agent creation. |
 | Google ADK | **Approach 1** Both [input and output schemas can be specified for LLM Agents](https://google.github.io/adk-docs/agents/llm-agents/#structuring-data-input_schema-output_schema-output_key) at construction time. This option is specific to this agent type and other agent types do not necessarily support |
-| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.structured_output) |
+| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/docs/api/python/strands.agent.agent/) |
 | LangGraph | **Approach 1** Supports [configuring an agent](https://langchain-ai.github.io/langgraph/agents/agents/?h=structured#6-configure-structured-output) at agent construction time, and a [structured response](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) can be retrieved as a special property on the agent response |
-| Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/examples/getting-started/structured-output) at agent construction time |
+| Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/input-output/structured-output/agent) at agent construction time |
 | A2A | **Informal Approach 2** Doesn't formally support schema negotiation, but [hints can be provided via metadata](https://a2a-protocol.org/latest/specification/#97-structured-data-exchange-requesting-and-providing-json) at invocation time |
 | Protocol Activity | Supports returning [Complex types](https://github.com/microsoft/Agents/blob/main/specs/activity/protocol-activity.md#complex-types) but no support for requesting a type |
 
@@ -508,7 +508,7 @@ We need to decide what AIContent types, each agent response type will be mapped
 |-|-|
 | AutoGen | Supports a [stop reason](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.TaskResult.stop_reason) which is a freeform text string |
 | Google ADK | [No equivalent present](https://github.com/google/adk-python/blob/main/src/google/adk/events/event.py) |
-| AWS (Strands) | Exposes a [stop_reason](https://strandsagents.com/latest/documentation/docs/api-reference/python/types/event_loop/#strands.types.event_loop.StopReason) property on the [AgentResult](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent_result/) class with options that are tied closely to LLM operations. |
+| AWS (Strands) | Exposes a [stop_reason](https://strandsagents.com/docs/api/python/strands.types.event_loop/) property on the [AgentResult](https://strandsagents.com/docs/api/python/strands.agent.agent_result/) class with options that are tied closely to LLM operations. |
 | LangGraph | No equivalent present, output contains only [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) |
 | Agno | [No equivalent present](https://docs.agno.com/reference/agents/run-response) |
 | A2A | No equivalent present, response only contains a [message](https://a2a-protocol.org/latest/specification/#64-message-object) or [task](https://a2a-protocol.org/latest/specification/#61-task-object). |

docs/decisions/0018-agentthread-serialization.md

@@ -0,0 +1,163 @@
+---
+# These are optional elements. Feel free to remove any of them.
+status: accepted
+contact: westey-m
+date: 2026-02-25
+deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub
+consulted: 
+informed:
+---
+
+# AgentSession serialization
+
+## Context and Problem Statement
+
+Serializing AgentSessions is done today by calling SerializeSession on the AIAgent instance and deserialization
+is done via the DeserializeSession method on the AIAgent instance.
+
+This approach has some drawbacks:
+
+1. It requires each AgentSession implementation to implement its own serialization logic. This can lead to inconsistencies and errors if not done correctly.
+1. It means that only one serialization format can be supported at a time. If we want to support multiple formats (e.g., JSON, XML, binary), we would need to implement separate serialization logic for each format.
+1. It is not possible to serialize and deserialize lists of AgentSessions, since each need to be handled individually.
+1. Users may not realise that they need to call these specific methods to serialize/deserialize AgentSessions.
+
+The reason why this approach was chosen initially is that AgentSessions may have behaviors that are attached to them and only the agent knows what behaviors to attach.
+These behaviors also have their own state that are attached to the AgentSession.
+The behaviors may have references to SDKs or other resources that cannot be created via standard deserialization mechanisms.
+E.g. an AgentSession may have a custom ChatMessageStore that knows how to store chat history in a specific storage backend and has a reference to the SDK client for that backend.
+When deserializing the AgentSession, we need to make sure that the ChatMessageStore is created with the correct SDK client.
+
+## Decision Drivers
+
+- A. Ability to continue to support custom behaviors (AIContextProviders / ChatHistoryProviders).
+- B. Ability to serialize and deserialize AgentSessions via standard serialization mechanisms, e.g. JsonSerializer.Serialize and JsonSerializer.Deserialize.
+- C. Ability for the caller to access custom providers.
+
+## Considered Options
+
+- Option 1: Separate state from behavior, serialize state only and re-attach behavior on first usage
+- Option 2: Separate state from behavior, and only have state on AgentSession
+- Option 3: Keep the current approach of custom Serialize/Deserialize methods
+
+### Option 1: Separate state from behavior, serialize state only and re-attach behavior on first usage
+
+Decision Drivers satisfied: A, B and C (C only partially)
+
+Have separate properties on the AgentSession for state and behavior and mark the behavior property with [JsonIgnore].
+After deserializing the AgentSession, the behavior is null and when the AgentSession is first used by the Agent, the behavior is created and attached to the AgentSession.
+
+This requires polymorphic deserialization to be supported, so that the correct AgentSession subclass and the correct behavior state is created during deserialization.
+Since the implementations for AgentSessions and their behaviors are not all known at compile time, we need a way to register custom AgentSession types and their corresponding behavior types for serialization with System.Text.Json on our JsonUtilities helpers.
+
+A drawback of this approach is that the AgentSession is in an incomplete state after deserialization until it is first used,
+so if a user was to call `GetService<MyBehavior>()` on the AgentSession before it is used by the Agent, it would return null.
+
+Behaviors like ChatMessageStore and AIContextProviders would need to change to support taking state as input and exposing state publicly.
+
+```csharp
+public class ChatClientAgentSession
+{
+    ...
+    public ChatMessageStoreState ChatMessageStoreState { get; }
+    public ChatMessageStore? ChatMessageStore { get; }
+    ...
+}
+
+[JsonPolymorphic(TypeDiscriminatorPropertyName = "$type")]
+[JsonDerivedType(typeof(InMemoryChatMessageStoreState), nameof(InMemoryChatMessageStoreState))]
+public abstract class ChatMessageStoreState
+{
+}
+public class InMemoryChatMessageStoreState : ChatMessageStoreState
+{
+    public IList<ChatMessage> Messages { get; set; } = [];
+}
+
+public abstract class ChatMessageStore<TState>
+    where TState : ChatMessageStoreState
+{
+    ...
+    public abstract TState State { get; }
+    ...
+}
+
+public sealed class InMemoryChatMessageStore : ChatMessageStore<InMemoryChatMessageStoreState>, IList<ChatMessage>
+{
+    private readonly InMemoryChatMessageStoreState _state;
+
+    public InMemoryChatMessageStore(InMemoryChatMessageStoreState? state)
+    {
+        this._state = state ?? new InMemoryChatMessageStoreState();
+    }
+
+    public override InMemoryChatMessageStoreState State => this._state;
+
+    ...
+}
+```
+
+ChatClientAgent factories would need to change to support creating behaviors based on state:
+
+```csharp
+    public Func<ChatMessageStoreFactoryContext, ChatMessageStore>? ChatMessageStoreFactory { get; set; }
+
+    public class ChatMessageStoreFactoryContext
+    {
+        public ChatMessageStoreState? State { get; set; }
+    }
+```
+
+The run behavior of the ChatClientAgent would be as follows:
+
+1. If an AgentSession is provided, check if the ChatMessageStore property is null.
+1. If it is, check if the ChatMessageStoreState property is null.
+    1. If ChatMessageStoreState is null, check if there is a provided ChatMessageStoreFactory.
+        1. If there is, call it with a ChatMessageStoreFactoryContext containing null State to create a default ChatMessageStore behavior, and update the AgentSession with the created behavior and its state.
+        2. If there is not, create a default InMemoryChatMessageStore behavior, and update the AgentSession with the created behavior and its state.
+    1. If ChatMessageStoreState is not null, check if there is a provided ChatMessageStoreFactory.
+        1. If there is, call it with a ChatMessageStoreFactoryContext containing the State to create a ChatMessageStore behavior based on the state.
+        2. If there is not, create an InMemoryChatMessageStore behavior based on the State.
+
+### Option 2: Separate state from behavior, and only have state on AgentSession
+
+Decision Drivers satisfied: A, B and C.
+
+This is similar to Option 1 but instead of having a behavior property on the AgentSession, we only have a StateBag property on the AgentSession.
+Behaviors really make more sense to live with the agent rather than the Session, but state should live on the session.
+When the AgentSession is used by the Agent, the Agent runs the behaviors against the Session, and the behavior stores it's state on the Session StateBag.
+
+This means that users are unable to access the behavior from the AgentSession, e.g. via `AgentSession.GetService<TBehavior>()`.
+
+However, the behaviors can be public properties on the Agent or can be retrieved from the agent via `AIAgent.GetService<MyAIContextProvider>()`.
+
+```csharp
+public class AgentSession
+{
+    ...
+    public AgentSessionStateBag StateBag { get; protected set; } = new();
+    ...
+}
+```
+
+### Option 3: Keep the current approach of custom Serialize/Deserialize methods
+
+Decision Drivers satisfied: A and C
+
+This option keeps the current approach of having custom Serialize/Deserialize methods on the AgentSession and AIAgent.
+
+## Decision Outcome
+
+Chosen option:
+
+**Option 2** — separate state from behavior, with only state on the AgentSession — because it satisfies all decision drivers and provides the cleanest separation of concerns. Since not all AgentSession implementations have yet been cleanly separated from their behaviors, AIAgent.SerializeSession and AIAgent.DeserializeSession is kept for the time being, but most session types can be serialized and deserialized directly using JsonSerializer.
+
+### Consequences
+
+- Good, because providers are fully stateless — the same provider instance works correctly across any number of concurrent sessions without risk of state leakage.
+- Good, because `AgentSession` can be serialized and deserialized with standard `System.Text.Json` mechanisms, satisfying decision driver B.
+- Good, because the generic `StateBag` is extensible — new providers can store arbitrary state without requiring changes to the session class.
+- Good, because users can access providers via the agent (e.g. `agent.GetService<InMemoryChatHistoryProvider>()`) satisfying decision driver C.
+- Good, because sessions are always in a complete and valid state after deserialization — there is no "incomplete until first use" problem as in Option 1.
+- Neutral, because providers cannot be accessed directly from the session; callers must go through the agent. This is a minor usability trade-off but keeps the session focused on state only.
+- Bad, because each provider must be disciplined about using `ProviderSessionState<T>` and not storing session-specific data in instance fields. This is a correctness concern for custom provider implementers.

docs/decisions/0020-foundry-evals-integration.md

@@ -0,0 +1,815 @@
+---
+status: accepted
+contact: bentho
+date: 2026-02-27
+deciders: bentho, markwallace-microsoft, westey-m
+consulted: Pratyush Mishra, Shivam Shrivastava, Manni Arora (Centrica eval scenario)
+informed: Agent Framework team, Foundry Evals team
+---
+
+# Agent Evaluation Architecture with Azure AI Foundry Integration
+
+## Context and Problem Statement
+
+Azure AI Foundry provides a rich evaluation service for AI agents — built-in evaluators for agent behavior (task adherence, intent resolution), tool usage (tool call accuracy, tool selection), quality (coherence, fluency, relevance), and safety (violence, self-harm, prohibited actions). Results are viewable in the Foundry portal with dashboards and comparison views.
+
+However, using Foundry Evals with an agent-framework agent today requires significant manual effort. Developers must:
+
+1. Transform agent-framework's `Message`/`Content` types into the OpenAI-style agent message schema that Foundry evaluators expect
+2. Map tool definitions from agent-framework's `FunctionTool` format to evaluator-compatible schemas
+3. Manually wire up the correct Foundry data source type (`azure_ai_traces`, `jsonl`, `azure_ai_target_completions`, etc.) depending on their scenario
+4. Handle App Insights trace ID queries, response ID collection, and eval polling
+
+Additionally, evaluation is a concern that extends beyond any single provider. Developers may want to use local evaluators (LLM-as-judge, regex, keyword matching), third-party evaluation libraries, or multiple providers in combination. The architecture must support this without creating a Foundry-specific lock-in at the API level.
+
+### Functional Requirements for Agent Evaluation
+
+- **Single agents and workflows.** Evaluate both individual agent responses and multi-agent workflow results, with per-agent breakdown to pinpoint underperformance.
+- **One-shot and multi-turn conversations.** Capture full conversation trajectories — including tool calls and results — not just final query/response pairs.
+- **Conversation factoring.** Support splitting conversations into query/response in multiple ways (last turn, full trajectory, per-turn) because different factorings measure different things.
+- **Multiple providers, mix and match.** Run Foundry LLM-as-judge evaluators alongside fast local checks and custom evaluators on the same data, without restructuring code.
+- **Third-party extensibility.** Any evaluation library can participate by implementing the `Evaluator` protocol (Python) or `IAgentEvaluator` interface (.NET). No predetermined list of supported libraries — the protocol is intentionally simple (`evaluate(items) → results`) so that wrappers for libraries like DeepEval, RAGAS, or Promptfoo are straightforward to write.
+- **Bring your own evaluator.** Creating a custom evaluator should be as simple as writing a function.
+- **Evaluate without re-running.** Evaluate existing responses from logs or previous runs without invoking the agent again.
+
+## Decision Drivers
+
+- **Zero-friction evaluation**: Developers should go from "I have an agent" to "I have eval results" with minimal code.
+- **Provider-agnostic API**: Core evaluation capabilities must not be tied to any specific provider. Provider configuration should be separate from the evaluation call.
+- **Lowest concept count**: Introduce the fewest possible new types, abstractions, and APIs for developers to learn.
+- **Leverage existing knowledge**: The framework already knows which agents exist, what tools they have, and what conversations occurred. Evals should use this automatically rather than requiring the developer to re-specify it.
+- **Foundry-native results**: When using Foundry, results should be viewable in the Foundry portal with dashboards and comparison views.
+- **Progressive disclosure**: Simple scenarios should be near-zero code. Advanced scenarios should build on the same primitives.
+- **Cross-language parity**: Design must be implementable in both Python and .NET.
+
+## Considered Options
+
+1. **Provider-specific functions** — Build Foundry-specific helper functions (`evaluate_agent()`, etc.) directly in the Azure package. All eval functions take Foundry connection parameters.
+2. **Evaluator protocol with shared orchestration** — Define a provider-agnostic `Evaluator` protocol in the base agent library (`agent_framework` in Python, `Microsoft.Agents.AI` in .NET). Orchestration functions live alongside it. Providers implement the protocol.
+3. **Full eval framework** — Build comprehensive eval infrastructure including custom evaluator definitions, scoring profiles, and reporting inside agent-framework.
+
+## Decision Outcome
+
+Proposed option: "Evaluator protocol with shared orchestration", because it delivers the low-friction developer experience, supports multiple providers without API changes, and keeps the concept count low.
+
+### Usage Examples
+
+#### Evaluate an agent
+
+The agent is invoked once per query by default. For statistically meaningful evaluation, provide multiple diverse queries. For measuring **consistency** (does the same query produce reliable results?), use `num_repetitions` to run each query N times independently:
+
+**Python:**
+
+```python
+evals = FoundryEvals(
+    project_client=client,
+    model_deployment="gpt-4o",
+    evaluators=[FoundryEvals.RELEVANCE, FoundryEvals.COHERENCE],
+)
+
+results = await evaluate_agent(
+    agent=my_agent,
+    queries=[
+        "What's the weather in Seattle?",
+        "Plan a weekend trip to Portland",
+        "What restaurants are near Pike Place?",
+    ],
+    evaluators=evals,
+)
+for r in results:
+    r.assert_passed()
+```
+
+**C#:**
+
+```csharp
+var evals = new FoundryEvals(chatConfiguration, FoundryEvals.Relevance, FoundryEvals.Coherence);
+
+AgentEvaluationResults results = await agent.EvaluateAsync(
+    new[] {
+        "What's the weather in Seattle?",
+        "Plan a weekend trip to Portland",
+        "What restaurants are near Pike Place?",
+    },
+    evals);
+
+results.AssertAllPassed();
+```
+
+`evaluate_agent` returns one `EvalResults` per evaluator. Each result contains per-item scores with the evaluated response for auditing:
+
+```
+# results[0] (FoundryEvals)
+EvalResults(status="completed", passed=3, failed=0, total=3)
+  items[0]: EvalItemResult(
+    query="What's the weather in Seattle?",
+    response="It's currently 72°F and sunny in Seattle.",
+    scores={"relevance": 5, "coherence": 5})
+  items[1]: EvalItemResult(
+    query="Plan a weekend trip to Portland",
+    response="Here's a 2-day Portland itinerary...",
+    scores={"relevance": 4, "coherence": 5})
+  items[2]: EvalItemResult(
+    query="What restaurants are near Pike Place?",
+    response="Top restaurants near Pike Place Market: ...",
+    scores={"relevance": 5, "coherence": 4})
+```
+
+#### Measure consistency with repetitions
+
+Run each query multiple times to detect non-deterministic behavior:
+
+**Python:**
+
+```python
+results = await evaluate_agent(
+    agent=my_agent,
+    queries=["What's the weather in Seattle?"],
+    evaluators=evals,
+    num_repetitions=3,  # each query runs 3 times independently
+)
+# results contain 3 items (1 query × 3 repetitions)
+```
+
+**C#:**
+
+```csharp
+AgentEvaluationResults results = await agent.EvaluateAsync(
+    new[] { "What's the weather in Seattle?" },
+    evals,
+    numRepetitions: 3);  // each query runs 3 times independently
+// results contain 3 items (1 query × 3 repetitions)
+```
+
+#### Evaluate a response you already have
+
+When you already have agent responses, pass them directly to skip re-running the agent. Each query is paired with its corresponding response:
+
+**Python:**
+
+```python
+queries = ["What's the weather?", "What's the capital of France?"]
+responses = [await agent.run([Message("user", [q])]) for q in queries]
+
+results = await evaluate_agent(
+    responses=responses,
+    evaluators=evals,
+)
+```
+
+**C#:**
+
+```csharp
+var queries = new[] { "What's the weather?" };
+var responses = new List<AgentResponse>();
+foreach (var q in queries)
+    responses.Add(await agent.RunAsync(new[] { new ChatMessage(ChatRole.User, q) }));
+
+AgentEvaluationResults results = await agent.EvaluateAsync(
+    responses: responses,
+    evals);
+```
+
+Each `AgentResponse` already contains the conversation (query + response), so the evaluator extracts query/response from the conversation. When you pass `responses` without `queries`, the conversation is the source of truth.
+
+#### Evaluate with conversation split strategies
+
+By default, evaluators see only the last turn (final user message → final assistant response). For multi-turn conversations, you can control how the conversation is factored for evaluation:
+
+**Python:**
+
+```python
+results = await evaluate_agent(
+    agent=agent,
+    queries=["Plan a 3-day trip to Paris"],
+    evaluators=evals,
+    conversation_split=ConversationSplit.FULL,      # evaluate entire trajectory
+)
+
+# Or per-turn: each user→assistant exchange scored independently
+results = await evaluate_agent(
+    agent=agent,
+    queries=["Plan a 3-day trip to Paris"],
+    evaluators=evals,
+    conversation_split=ConversationSplit.PER_TURN,
+)
+```
+
+**C#:**
+
+```csharp
+// Full conversation as context
+AgentEvaluationResults results = await agent.EvaluateAsync(
+    new[] { "Plan a 3-day trip to Paris" },
+    evals,
+    splitter: ConversationSplitters.Full);
+
+// Per-turn splitting
+var items = EvalItem.PerTurnItems(conversation);  // one EvalItem per user turn
+var results = await evals.EvaluateAsync(items);
+```
+
+With `PER_TURN`, a 3-turn conversation produces 3 scored items:
+
+```
+EvalResults(status="completed", passed=3, failed=0, total=3)
+  items[0]: query="Plan a 3-day trip to Paris"    scores={"relevance": 5}
+  items[1]: query="What about restaurants?"        scores={"relevance": 4}
+  items[2]: query="Make it budget-friendly"        scores={"relevance": 5}
+```
+
+#### Evaluate a multi-agent workflow
+
+**Python:**
+
+```python
+result = await workflow.run("Plan a trip to Paris")
+eval_results = await evaluate_workflow(
+    workflow=workflow,
+    workflow_result=result,
+    evaluators=evals,
+)
+
+for r in eval_results:
+    print(f"  overall: {r.passed}/{r.total}")
+    for name, sub in r.sub_results.items():
+        print(f"    {name}: {sub.passed}/{sub.total}")
+```
+
+**C#:**
+
+```csharp
+WorkflowRunResult result = await workflow.RunAsync("Plan a trip to Paris");
+
+IReadOnlyList<AgentEvaluationResults> evalResults = await result.EvaluateAsync(evals);
+
+foreach (var r in evalResults)
+{
+    Console.WriteLine($"  overall: {r.Passed}/{r.Total}");
+    foreach (var (name, sub) in r.SubResults)
+        Console.WriteLine($"    {name}: {sub.Passed}/{sub.Total}");
+}
+```
+
+Workflows return one result per evaluator, with sub-results per agent in the workflow:
+
+```
+EvalResults(status="completed", passed=2, failed=0, total=2)
+  sub_results:
+    "planner":  EvalResults(passed=1, total=1)
+    "researcher": EvalResults(passed=1, total=1)
+```
+
+#### Mix multiple providers
+
+**Python:**
+
+```python
+@evaluator
+def is_helpful(response: str) -> bool:
+    return len(response.split()) > 10
+
+foundry = FoundryEvals(
+    project_client=client,
+    model_deployment="gpt-4o",
+    evaluators=[FoundryEvals.RELEVANCE, FoundryEvals.COHERENCE],
+)
+
+results = await evaluate_agent(
+    agent=agent,
+    queries=queries,
+    evaluators=[is_helpful, keyword_check("weather"), foundry],
+)
+```
+
+**C#:**
+
+```csharp
+IReadOnlyList<AgentEvaluationResults> results = await agent.EvaluateAsync(
+    queries,
+    evaluators: new IAgentEvaluator[]
+    {
+        new LocalEvaluator(
+            EvalChecks.KeywordCheck("weather"),
+            FunctionEvaluator.Create("is_helpful", (string r) => r.Split(' ').Length > 10)),
+        new FoundryEvals(chatConfiguration, FoundryEvals.Relevance, FoundryEvals.Coherence),
+    });
+```
+
+Multiple evaluators return one result each — `results[0]` is the local evaluator, `results[1]` is Foundry.
+
+#### Custom function evaluators
+
+**Python:**
+
+```python
+@evaluator
+def mentions_city(response: str, expected_output: str) -> bool:
+    return expected_output.lower() in response.lower()
+
+@evaluator
+def used_tools(conversation: list, tools: list) -> float:
+    # ... scoring logic
+    return score
+
+local = LocalEvaluator(mentions_city, used_tools)
+```
+
+`@evaluator` uses **parameter name injection** — the function's parameter names determine what data it receives from the `EvalItem`. Supported names: `query`, `response`, `expected`, `expected_tool_calls`, `conversation`, `tools`, `context`. Any combination is valid.
+
+**C#:**
+
+```csharp
+var local = new LocalEvaluator(
+    FunctionEvaluator.Create("mentions_city",
+        (EvalItem item) => item.ExpectedOutput != null
+            && item.Response.Contains(item.ExpectedOutput, StringComparison.OrdinalIgnoreCase)),
+    FunctionEvaluator.Create("is_concise",
+        (string response) => response.Split(' ').Length < 500));
+```
+
+## What To Build
+
+### Core: Evaluator Protocol
+
+A runtime-checkable protocol that any evaluation provider implements:
+
+```python
+@runtime_checkable
+class Evaluator(Protocol):
+    name: str
+
+    async def evaluate(
+        self, items: Sequence[EvalItem], *, eval_name: str = "Agent Framework Eval"
+    ) -> EvalResults: ...
+```
+
+The protocol is minimal — just `name` and `evaluate()`.
+
+### Core: EvalItem
+
+Provider-agnostic data format for items to evaluate:
+
+```python
+@dataclass
+class ExpectedToolCall:
+    name: str                                    # Tool/function name
+    arguments: dict[str, Any] | None = None      # None = don't check args
+
+@dataclass
+class EvalItem:
+    conversation: list[Message]               # Single source of truth
+    tools: list[FunctionTool] | None = None   # Agent's available tools
+    context: str | None = None
+    expected_output: str | None = None          # Ground-truth for comparison
+    expected_tool_calls: list[ExpectedToolCall] | None = None
+    split_strategy: ConversationSplitter | None = None
+
+    query: str       # property — derived from conversation split
+    response: str    # property — derived from conversation split
+```
+
+`conversation` is the single source of truth. `query` and `response` are derived properties — splitting the conversation at the last user message (default) and extracting text from each side. Changing the `split_strategy` consistently changes all derived values.
+
+`tools` provides typed `FunctionTool` objects — including MCP tools, which are automatically extracted after agent runs.
+
+### Internal: AgentEvalConverter
+
+Internal class that converts agent-framework types to `EvalItem`. Used by `evaluate_agent()` and `evaluate_workflow()` — not part of the public API:
+
+| Agent Framework | Eval Format |
+|---|---|
+| `Content.function_call` | `tool_call` in OpenAI chat format |
+| `Content.function_result` | `tool_result` in OpenAI chat format |
+| `FunctionTool` | `{name, description, parameters}` schema |
+| `Message` history | `conversation` list + `query`/`response` extraction |
+
+### Core: EvalResults
+
+Rich result type with convenience properties for CI integration:
+
+```python
+results.all_passed          # bool: no failures or errors (recursive for workflow)
+results.passed              # int: passing count
+results.failed              # int: failure count
+results.total               # int: total = passed + failed + errored
+results.items               # list[EvalItemResult]: per-item detail with query, response, and scores
+results.error               # str | None: error details on failure
+results.sub_results         # dict: per-agent breakdown (workflow evals)
+results.report_url          # str | None: portal link (Foundry)
+results.assert_passed()     # raises AssertionError with details
+```
+
+### Core: Orchestration Functions
+
+Provider-agnostic functions that extract data and delegate to evaluators:
+
+| Function | What it does |
+|---|---|
+| `evaluate_agent()` | Runs agent against test queries (or evaluates pre-existing `responses=`), converts to `EvalItem`s, passes to evaluator. Accepts optional `expected_output=` for ground-truth comparison, `expected_tool_calls=` for tool-correctness evaluation, and `num_repetitions=` for consistency measurement |
+| `evaluate_workflow()` | Extracts per-agent data from `WorkflowRunResult`, evaluates each agent and overall output. Per-agent breakdown in `sub_results`. Also accepts `num_repetitions=` |
+
+### Core: Conversation Split Strategies
+
+Multi-turn conversations must be split into query (input) and response (output) halves for evaluation. How you split determines *what you're evaluating*:
+
+**Last-turn split** — split at the last user message. Everything up to and including it is the query context; the agent's subsequent actions are the response:
+
+```
+conversation: user1 → assistant1 → user2 → assistant2(tool) → tool_result → assistant3
+query_messages:    [user1, assistant1, user2]
+response_messages: [assistant2(tool), tool_result, assistant3]
+```
+
+This evaluates: "Given all the context so far, did the agent answer the latest question well?" Best for response quality at a specific point in the conversation.
+
+**Full-conversation split** — the first user message is the query; everything after is the response:
+
+```
+query_messages:    [user1]
+response_messages: [assistant1, user2, assistant2(tool), tool_result, assistant3]
+```
+
+This evaluates: "Given the original request, did the entire conversation trajectory serve the user?" Best for task completion and overall conversation quality.
+
+**Per-turn split** — produces N eval items from an N-turn conversation. Each turn is evaluated with its cumulative context:
+
+```
+item 1: query = [user1],                        response = [assistant1]
+item 2: query = [user1, assistant1, user2],      response = [assistant2(tool), tool_result, assistant3]
+```
+
+This evaluates each response independently. Best for fine-grained analysis and pinpointing where a conversation goes wrong.
+
+These factorings produce different scores for the same conversation. The framework ships all three as built-in strategies, defaulting to last-turn. Developers can also provide a custom splitter — a function (Python) or `IConversationSplitter` implementation (.NET) — and override the strategy at the call site or per evaluator.
+
+### Azure AI: FoundryEvals
+
+`Evaluator` implementation backed by Azure AI Foundry:
+
+```python
+class FoundryEvals:
+    def __init__(self, *, project_client=None, openai_client=None,
+                 model_deployment: str, evaluators=None, ...)
+    async def evaluate(self, items, *, eval_name) -> EvalResults
+```
+
+**Smart auto-detection in `evaluate()`:**
+- Default evaluators: relevance, coherence, task_adherence
+- Auto-adds `tool_call_accuracy` when items have tools/`tool_definitions`
+- Filters out tool evaluators for items without tools
+
+### Azure AI: FoundryEvals Constants
+
+```python
+from agent_framework_azure_ai import FoundryEvals
+
+evaluators = [FoundryEvals.RELEVANCE, FoundryEvals.TOOL_CALL_ACCURACY]
+```
+
+Categories: Agent behavior, Tool usage, Quality, Safety.
+
+### Azure AI: Foundry-Specific Functions
+
+| Function | What it does |
+|---|---|
+| `evaluate_traces()` | Evaluate from stored response IDs or OTel traces |
+| `evaluate_foundry_target()` | Evaluate a Foundry-registered agent or deployment |
+
+### Core: LocalEvaluator and Function Evaluators
+
+`LocalEvaluator` implements the `Evaluator` protocol for fast, API-free evaluation. It runs check functions locally — useful for inner-loop development, CI smoke tests, and combining with cloud-based evaluators.
+
+Built-in checks:
+- `keyword_check(*keywords)` — response must contain specified keywords
+- `tool_called_check(*tool_names)` — agent must have called specified tools
+- `tool_calls_present` — all `expected_tool_calls` names appear in conversation (unordered, extras OK)
+- `tool_call_args_match` — expected tool calls match on name + arguments (subset match on args)
+
+Custom function evaluators use `@evaluator` to wrap plain Python functions. The function's **parameter names** determine what data it receives from the `EvalItem`:
+
+```python
+from agent_framework import evaluator, LocalEvaluator
+
+# Tier 1: Simple check — just query + response
+@evaluator
+def is_concise(response: str) -> bool:
+    return len(response.split()) < 500
+
+# Tier 2: Ground truth — compare against expected output
+@evaluator
+def mentions_city(response: str, expected_output: str) -> bool:
+    return expected_output.lower() in response.lower()
+
+# Tier 3: Full context — inspect conversation and tools
+@evaluator
+def used_tools(conversation: list, tools: list) -> float:
+    # ... scoring logic
+    return score
+
+local = LocalEvaluator(is_concise, mentions_city, used_tools)
+```
+
+Supported parameters: `query`, `response`, `expected`, `expected_tool_calls`, `conversation`, `tools`, `context`.
+Return types: `bool`, `float` (≥0.5 = pass), `dict` with `score` or `passed` key, or `CheckResult`.
+
+Async functions are handled automatically — `@evaluator` detects `async def` and produces the right wrapper.
+
+### Example: GAIA Benchmark
+
+[GAIA](https://huggingface.co/gaia-benchmark) tests real-world multi-step tasks with known expected answers. Each task has a question and a ground-truth answer, with optional file attachments. The framework accommodates GAIA's knobs (difficulty levels, file inputs, multi-step tool use) through the existing `EvalItem` fields:
+
+```python
+from datasets import load_dataset
+from agent_framework import evaluate_agent, evaluator, LocalEvaluator
+
+gaia = load_dataset("gaia-benchmark/GAIA", "2023_level1", split="test")
+
+@evaluator
+def exact_match(response: str, expected_output: str) -> bool:
+    return expected_output.strip().lower() in response.strip().lower()
+
+# Simple path — evaluate_agent handles running + expected_output stamping
+results = await evaluate_agent(
+    agent=agent,
+    queries=[task["Question"] for task in gaia],
+    expected_output=[task["Final answer"] for task in gaia],
+    evaluators=LocalEvaluator(exact_match),
+)
+```
+
+### Package Location
+
+- Core types and orchestration: `agent_framework._eval`, `agent_framework._local_eval` (Python), `Microsoft.Agents.AI` (.NET)
+- Foundry provider: `agent_framework_azure_ai._foundry_evals` (Python), `Microsoft.Agents.AI.AzureAI` (.NET)
+- Azure-AI re-exports core types for convenience (Python)
+
+## Known Limitations
+
+1. **Tool evaluators require query + agent**: Tool evaluators need tool definition schemas. When using these evaluators with `evaluate_agent(responses=...)`, provide `queries=` and pass an agent with tool definitions.
+2. **`model_deployment` always required**: Could potentially be inferred from the Foundry project configuration.
+
+## Open Questions
+
+1. **Red teaming non-registered agents**: Requires Foundry API support for callback-based flows.
+2. **Datasets with expected outputs**: A dataset abstraction for pre-populating `expected_output` values across eval runs is a natural next step but not yet designed.
+3. **Multi-modal evaluation**: The `conversation` field on `EvalItem` already stores full `Message`/`Content` (Python) and `ChatMessage` (.NET) objects, which can represent multi-modal content (images, audio, structured data). Evaluators that accept the full `EvalItem` or `conversation` parameter can access this content today. However, the convenience shortcuts — `query`/`response` string projections and the `FunctionEvaluator` string overloads — are text-only. Multi-modal-aware evaluators should use the full-item path (`Func<EvalItem, CheckResult>` in .NET, `conversation: list` parameter in Python).
+
+## .NET Implementation Design
+
+### Key Difference: MEAI Ecosystem
+
+Unlike Python, the .NET ecosystem already has `Microsoft.Extensions.AI.Evaluation` (v10.3.0) providing:
+
+- `IEvaluator` — per-item evaluation of `(messages, chatResponse) → EvaluationResult`
+- `CompositeEvaluator` — combines multiple evaluators
+- Quality evaluators — `RelevanceEvaluator`, `CoherenceEvaluator`, `GroundednessEvaluator`
+- Safety evaluators — `ContentHarmEvaluator`, `ProtectedMaterialEvaluator`
+- Metric types — `NumericMetric`, `BooleanMetric`, `StringMetric`
+
+The .NET integration uses MEAI's `IEvaluator` directly — no new evaluator interface. Our contribution is the **orchestration layer**: extension methods that run agents, extract data, call `IEvaluator` per item, and aggregate results.
+
+### Architecture
+
+```
+┌──────────────────────────────────────────────────────────────┐
+│  Developer Code                                              │
+│  agent.EvaluateAsync(queries, evaluator)                     │
+│  run.EvaluateAsync(evaluator)                                │
+└────────────────┬─────────────────────────────────────────────┘
+                 │
+┌────────────────▼─────────────────────────────────────────────┐
+│  Orchestration Layer (Microsoft.Agents.AI)                   │
+│  AgentEvaluationExtensions — runs agents, extracts data,     │
+│  calls IEvaluator per item, aggregates into                  │
+│  AgentEvaluationResults                                      │
+└────────────────┬─────────────────────────────────────────────┘
+                 │ IEvaluator (MEAI)
+                 │
+     ┌───────────┼────────────┐
+     │           │            │
+ ┌───▼───-┐  ┌───▼────┐  ┌────▼──────────┐
+ │ MEAI   │  │ Local  │  │ Foundry       │
+ │ Quality│  │ Checks │  │ (cloud batch) │
+ │ Safety │  │ Lambdas│  │               │
+ └────────┘  └────────┘  └───────────────┘
+```
+
+All evaluators implement MEAI's `IEvaluator`. The orchestration layer doesn't need to know which kind — it calls `EvaluateAsync(messages, chatResponse)` per item on all of them. `FoundryEvals` handles batching internally (buffers items, submits once, returns per-item results).
+
+### .NET Core Types
+
+**No new evaluator interface.** Use MEAI's `IEvaluator` directly.
+
+**`AgentEvaluationResults`** — The only new type. Aggregates per-item MEAI `EvaluationResult`s across a batch of queries:
+
+```csharp
+public class AgentEvaluationResults
+{
+    public string Provider { get; init; }
+    public string? ReportUrl { get; init; }
+
+    // Per-item — standard MEAI EvaluationResult, unchanged
+    public IReadOnlyList<EvaluationResult> Items { get; init; }
+
+    // Aggregate pass/fail derived from metric interpretations
+    public int Passed { get; }
+    public int Failed { get; }
+    public int Total { get; }
+    public bool AllPassed { get; }
+
+    // Workflow: per-agent breakdown
+    public IReadOnlyDictionary<string, AgentEvaluationResults>? SubResults { get; init; }
+
+    public void AssertAllPassed(string? message = null);
+}
+```
+
+### .NET Evaluator Implementations
+
+All implement MEAI's `IEvaluator`:
+
+**`LocalEvaluator`** — Runs lambda checks locally, returns `BooleanMetric` per check:
+
+```csharp
+var local = new LocalEvaluator(
+    FunctionEvaluator.Create("is_concise",
+        (string response) => response.Split().Length < 500),
+    EvalChecks.KeywordCheck("weather"),
+    EvalChecks.ToolCalledCheck("get_weather"));
+```
+
+**MEAI evaluators** — Used directly, no adapter needed:
+
+```csharp
+var quality = new CompositeEvaluator(
+    new RelevanceEvaluator(),
+    new CoherenceEvaluator());
+```
+
+**`FoundryEvals`** — Implements `IEvaluator` but batches internally. On first call, buffers the item. On the last item (or when explicitly flushed), submits the batch to Foundry and distributes per-item results:
+
+```csharp
+var foundry = new FoundryEvals(projectClient, "gpt-4o");
+```
+
+### .NET Orchestration: Extension Methods
+
+```csharp
+public static class AgentEvaluationExtensions
+{
+    // Evaluate an agent against test queries
+    public static Task<AgentEvaluationResults> EvaluateAsync(
+        this AIAgent agent,
+        IEnumerable<string> queries,
+        IEvaluator evaluator,
+        ChatConfiguration? chatConfiguration = null,
+        IEnumerable<string>? expectedOutput = null,
+        CancellationToken cancellationToken = default);
+
+    // Evaluate pre-existing responses (without re-running the agent)
+    public static Task<AgentEvaluationResults> EvaluateAsync(
+        this AIAgent agent,
+        AgentResponse responses,
+        IEvaluator evaluator,
+        IEnumerable<string>? queries = null,
+        ChatConfiguration? chatConfiguration = null,
+        IEnumerable<string>? expectedOutput = null,
+        CancellationToken cancellationToken = default);
+
+    // Evaluate with multiple evaluators (one result per evaluator)
+    public static Task<IReadOnlyList<AgentEvaluationResults>> EvaluateAsync(
+        this AIAgent agent,
+        IEnumerable<string> queries,
+        IEnumerable<IEvaluator> evaluators,
+        ChatConfiguration? chatConfiguration = null,
+        IEnumerable<string>? expectedOutput = null,
+        CancellationToken cancellationToken = default);
+
+    // Evaluate a workflow run with per-agent breakdown
+    public static Task<AgentEvaluationResults> EvaluateAsync(
+        this Run run,
+        IEvaluator evaluator,
+        ChatConfiguration? chatConfiguration = null,
+        bool includeOverall = true,
+        bool includePerAgent = true,
+        CancellationToken cancellationToken = default);
+}
+```
+
+**Usage:**
+
+```csharp
+// MEAI evaluators — just works
+var results = await agent.EvaluateAsync(
+    queries: ["What's the weather?"],
+    evaluator: new RelevanceEvaluator(),
+    chatConfiguration: new ChatConfiguration(evalClient));
+
+// Local checks
+var results = await agent.EvaluateAsync(
+    queries: ["What's the weather?"],
+    evaluator: new LocalEvaluator(
+        EvalChecks.KeywordCheck("weather")));
+
+// Foundry cloud
+var results = await agent.EvaluateAsync(
+    queries: ["What's the weather?"],
+    evaluator: new FoundryEvals(projectClient, "gpt-4o"));
+
+// Evaluate existing response (without re-running the agent)
+var response = await agent.RunAsync("What's the weather?");
+var results = await agent.EvaluateAsync(
+    responses: response,
+    queries: ["What's the weather?"],
+    evaluator: new FoundryEvals(projectClient, "gpt-4o"));
+
+// Mixed — one result per evaluator
+var results = await agent.EvaluateAsync(
+    queries: ["What's the weather?"],
+    evaluators: [
+        new LocalEvaluator(EvalChecks.KeywordCheck("weather")),
+        new RelevanceEvaluator(),
+        new FoundryEvals(projectClient, "gpt-4o")
+    ],
+    chatConfiguration: new ChatConfiguration(evalClient));
+
+// Workflow with per-agent breakdown
+Run run = await workflowRunner.RunAsync(workflow, "Plan a trip");
+var results = await run.EvaluateAsync(
+    evaluator: new FoundryEvals(projectClient, "gpt-4o"));
+```
+
+### .NET Function Evaluators
+
+Typed factory overloads (C# equivalent of Python's `@evaluator`):
+
+```csharp
+public static class FunctionEvaluator
+{
+    public static EvalCheck Create(string name, Func<string, bool> check);           // response only
+    public static EvalCheck Create(string name, Func<string, string?, bool> check);  // expectedOutput
+    public static EvalCheck Create(string name, Func<EvalItem, bool> check);         // full item
+    public static EvalCheck Create(string name, Func<EvalItem, CheckResult> check);  // full control
+    public static EvalCheck Create(string name, Func<string, Task<bool>> check);     // async
+}
+```
+
+`EvalItem` is a lightweight record used only by `FunctionEvaluator` and `LocalEvaluator` to pass context to check functions. It is not part of the `IEvaluator` interface:
+
+```csharp
+public record ExpectedToolCall(string Name, IReadOnlyDictionary<string, object>? Arguments = null);
+
+public sealed class EvalItem
+{
+    public EvalItem(string query, string response, IReadOnlyList<ChatMessage> conversation);
+
+    public string Query { get; }
+    public string Response { get; }
+    public IReadOnlyList<ChatMessage> Conversation { get; }
+    public IReadOnlyList<AITool>? Tools { get; set; }
+    public string? ExpectedOutput { get; set; }
+    public IReadOnlyList<ExpectedToolCall>? ExpectedToolCalls { get; set; }
+    public string? Context { get; set; }
+    public IConversationSplitter? Splitter { get; set; }
+}
+```
+
+### Workflow Data Extraction (.NET)
+
+`run.EvaluateAsync()` walks `Run.OutgoingEvents` via LINQ:
+
+1. Pair `ExecutorInvokedEvent` / `ExecutorCompletedEvent` by `ExecutorId`
+2. Extract `AgentResponseEvent` for per-agent `ChatResponse`
+3. Call `evaluator.EvaluateAsync()` per invocation
+4. Group by `ExecutorId` for per-agent `SubResults`
+5. Use final workflow output for overall eval
+
+### .NET Package Structure
+
+| Package | Contents |
+|---------|----------|
+| `Microsoft.Agents.AI` | `IAgentEvaluator`, `AgentEvaluationResults`, `LocalEvaluator`, `FunctionEvaluator`, `EvalChecks`, `EvalItem`, `ExpectedToolCall`, `AgentEvaluationExtensions` |
+| `Microsoft.Agents.AI.AzureAI` | `FoundryEvals` (provider + constants) |
+
+### Python ↔ .NET Mapping
+
+| Python | .NET |
+|--------|------|
+| `Evaluator` protocol | `IAgentEvaluator` (our interface; MEAI provides `IEvaluator` for per-item scoring) |
+| `EvalItem` dataclass | `EvalItem` class |
+| `EvalResults` | `AgentEvaluationResults` |
+| `EvalItemResult` / `EvalScoreResult` | MEAI `EvaluationResult` / `EvaluationMetric` (reused) |
+| `LocalEvaluator` | `LocalEvaluator` (implements `IAgentEvaluator`) |
+| `@evaluator` | `FunctionEvaluator.Create()` overloads |
+| `keyword_check()` / `tool_called_check()` | `EvalChecks.KeywordCheck()` / `EvalChecks.ToolCalledCheck()` |
+| `tool_calls_present` / `tool_call_args_match` | (custom `FunctionEvaluator` — same pattern) |
+| `ExpectedToolCall` dataclass | `ExpectedToolCall` record |
+| `FoundryEvals` | `FoundryEvals` (implements `IAgentEvaluator`, includes evaluator name constants) |
+| `evaluate_agent()` | `agent.EvaluateAsync(queries, evaluator)` extension method |
+| `evaluate_agent(responses=)` | `agent.EvaluateAsync(responses, evaluator)` extension method |
+| `evaluate_workflow()` | `run.EvaluateAsync()` extension method |
+
+## More Information
+
+- [Foundry Evals documentation](https://learn.microsoft.com/azure/ai-foundry/concepts/evaluation-approach-gen-ai) — Azure AI Foundry evaluation overview

docs/decisions/0021-agent-skills-design.md

@@ -0,0 +1,960 @@
+status: proposed
+date: 2026-03-23
+contact: sergeymenshykh
+deciders: rbarreto, westey-m, eavanvalkenburg
+---
+
+# Agent Skills: Multi-Source Architecture
+
+## Context and Problem Statement
+
+The Agent Framework needs a skills system that lets agents discover and use domain-specific knowledge, reference documents, and executable scripts. Skills can originate from different sources — filesystem directories (SKILL.md files), inline C# code, or reusable class libraries — and the framework must support all three uniformly while allowing extensibility, composition, and filtering.
+
+## Decision Drivers
+
+- Skills must be definable from multiple sources: filesystem, inline code, reusable classes, etc
+- Common abstractions are needed so the provider and builder work uniformly regardless of skill origin
+- File-based scripts must support user-defined executors, enabling custom runtimes and languages; code/class-based scripts execute in-process as C# delegates
+- Skills must be filterable so consumers can include or exclude specific skills based on defined criteria
+- Multiple skill sources must be composable into a single provider
+- It must be possible to add custom skill sources (e.g., databases, REST APIs, package registries) by implementing a common abstraction
+
+## Architecture
+
+### Model-Facing Tools
+
+Skills are presented to the model as up to three tools that progressively disclose skill content. The system prompt lists available skill names and descriptions; the model then calls these tools on demand:
+
+- **`load_skill(skillName)`** — returns the full skill body (instructions, listed resources, listed scripts)
+- **`read_skill_resource(skillName, resourceName)`** — reads a supplementary resource (file-based or code-defined) associated with a skill
+- **`run_skill_script(skillName, scriptName, arguments?)`** — executes a script associated with a skill; only registered when at least one skill contains scripts
+
+Each tool delegates to the corresponding method on the resolved `AgentSkill` — calling `Resource.ReadAsync()` or `Script.RunAsync()` respectively.
+
+If skills have no scripts defined, the `run_skill_script` tool is **not advertised** to the model and instructions related to script execution are **not included** in the default skills instructions.
+
+### Abstract Base Types
+
+The architecture defines four abstract base types that all skill variants implement:
+
+```csharp
+public abstract class AgentSkill
+{
+    public abstract AgentSkillFrontmatter Frontmatter { get; }
+    public abstract string Content { get; }
+    public abstract IReadOnlyList<AgentSkillResource>? Resources { get; }
+    public abstract IReadOnlyList<AgentSkillScript>? Scripts { get; }
+}
+
+public abstract class AgentSkillResource
+{
+    public string Name { get; }
+    public string? Description { get; }
+    public abstract Task<object?> ReadAsync(IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default);
+}
+
+public abstract class AgentSkillScript
+{
+    public string Name { get; }
+    public string? Description { get; }
+    public abstract Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, CancellationToken cancellationToken = default);
+}
+
+public abstract class AgentSkillsSource
+{
+    public abstract Task<IList<AgentSkill>> GetSkillsAsync(CancellationToken cancellationToken = default);
+}
+```
+
+Skill metadata is captured via `AgentSkillFrontmatter`:
+
+```csharp
+public sealed class AgentSkillFrontmatter
+{
+    public AgentSkillFrontmatter(string name, string description) { ... }
+
+    public string Name { get; }
+    public string Description { get; }
+    public string? License { get; set; }
+    public string? Compatibility { get; set; }
+    public string? AllowedTools { get; set; }
+    public AdditionalPropertiesDictionary? Metadata { get; set; }
+}
+```
+
+The type hierarchy at a glance:
+
+```
+AgentSkill (abstract)                   AgentSkillsSource (abstract)
+├── AgentFileSkill                      ├── AgentFileSkillsSource          (public)
+└── [Programmatic]                      ├── AgentInMemorySkillsSource      (public)
+    ├── AgentInlineSkill                ├── AggregatingAgentSkillsSource     (public)
+    └── AgentClassSkill (abstract)      └── DelegatingAgentSkillsSource    (abstract, public)
+                                            ├── FilteringAgentSkillsSource  (public)
+AgentSkillResource (abstract)               ├── CachingAgentSkillsSource    (public)
+├── AgentFileSkillResource                  └── DeduplicatingAgentSkillsSource (public)
+└── AgentInlineSkillResource
+                                        AgentSkillScript (abstract)
+                                        ├── AgentFileSkillScript
+                                        └── AgentInlineSkillScript
+```
+
+There are two top-level categories of skills:
+
+1. **File-Based Skills** — discovered from `SKILL.md` files on the filesystem. Resources and scripts are files in subdirectories.
+2. **Programmatic Skills** — defined in C# code. These are further divided into:
+   - **Inline Skills** — built at runtime via the `AgentInlineSkill` class and its fluent API. Ideal for quick, agent-specific skill definitions.
+   - **Class-Based Skills** — defined as reusable C# classes that subclass `AgentClassSkill`. Ideal for packaging skills as shared libraries or NuGet packages.
+
+Both programmatic skill types use `AgentInlineSkillResource` and `AgentInlineSkillScript` for their resources and scripts. They are typically served by `AgentInMemorySkillsSource`, which accepts any `AgentSkill` and is not limited to programmatic skills.
+
+### File-Based Skills
+
+File-based skills are authored as `SKILL.md` files on disk. Resources and scripts are discovered from corresponding subfolders within the skill directory.
+
+**`AgentFileSkill`** — A filesystem-based skill discovered from a directory containing a `SKILL.md` file. Parsed from YAML frontmatter; content is the raw markdown body. Resources and scripts are discovered from files in corresponding subfolders:
+
+```csharp
+public sealed class AgentFileSkill : AgentSkill
+{
+    internal AgentFileSkill(
+        AgentSkillFrontmatter frontmatter, string content, string path,
+        IReadOnlyList<AgentSkillResource>? resources = null,
+        IReadOnlyList<AgentSkillScript>? scripts = null) { ... }
+}
+```
+
+**`AgentFileSkillResource`** — A file-based skill resource. Reads content from a file on disk relative to the skill directory:
+
+```csharp
+internal sealed class AgentFileSkillResource : AgentSkillResource
+{
+    public AgentFileSkillResource(string name, string fullPath) { ... }
+
+    public string FullPath { get; }
+
+    public override Task<object?> ReadAsync(IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default)
+    {
+        return File.ReadAllTextAsync(FullPath, Encoding.UTF8, cancellationToken);
+    }
+}
+```
+
+**`AgentFileSkillScript`** — A file-based skill script that represents a script file on disk. Delegates execution to an external `AgentFileSkillScriptRunner` callback (e.g., runs Python/shell via `Process.Start`). Throws `NotSupportedException` if no executor is configured:
+
+```csharp
+public delegate Task<object?> AgentFileSkillScriptRunner(
+    AgentFileSkill skill, AgentFileSkillScript script,
+    AIFunctionArguments arguments, CancellationToken cancellationToken);
+
+public sealed class AgentFileSkillScript : AgentSkillScript
+{
+    private readonly AgentFileSkillScriptRunner _executor;
+
+    internal AgentFileSkillScript(string name, string fullPath, AgentFileSkillScriptRunner executor)
+        : base(name) { ... }
+
+    public override async Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, ...)
+    {
+
+        return await _executor(fileSkill, this, arguments, cancellationToken);
+    }
+}
+```
+
+The executor can be provided at the **provider level** via `AgentSkillsProviderBuilder.UseFileScriptRunner(executor)` and optionally overridden for a **particular file skill** or for a **set of skills** at the file skill source level, giving fine-grained control over how different scripts are executed.
+
+**`AgentFileSkillsSource`** — A skill source that discovers skills from filesystem directories containing `SKILL.md` files. Recursively scans directories (max 2 levels), validates frontmatter, and enforces path traversal and symlink security checks:
+
+```csharp
+public sealed partial class AgentFileSkillsSource : AgentSkillsSource
+{
+    public AgentFileSkillsSource(
+        IEnumerable<string> skillPaths,
+        AgentFileSkillScriptRunner scriptRunner,
+        AgentFileSkillsSourceOptions? options = null,
+        ILoggerFactory? loggerFactory = null) { ... }
+}
+```
+
+**`AgentFileSkillsSourceOptions`** — Configuration options for `AgentFileSkillsSource`. Allows customizing the allowed file extensions for resources and scripts without adding constructor parameters:
+
+```csharp
+public sealed class AgentFileSkillsSourceOptions
+{
+    public IEnumerable<string>? AllowedResourceExtensions { get; set; }
+    public IEnumerable<string>? AllowedScriptExtensions { get; set; }
+}
+```
+
+**Example** — A file-based skill on disk and how it is added to a source:
+
+```
+skills/
+└── unit-converter/
+    ├── SKILL.md               # frontmatter + instructions
+    ├── resources/
+    │   └── conversion-table.csv   # discovered as a resource
+    └── scripts/
+        └── convert.py             # discovered as a script
+```
+
+```csharp
+var source = new AgentFileSkillsSource(skillPaths: ["./skills"], scriptRunner: SubprocessScriptRunner.RunAsync);
+
+var provider = new AgentSkillsProvider(source);
+
+AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
+{
+    AIContextProviders = [provider],
+});
+```
+
+### Programmatic Skills
+
+Programmatic skills are defined in C# code rather than discovered from the filesystem. There are two kinds: **inline** and **class-based**. Both use `AgentInlineSkillResource` and `AgentInlineSkillScript` for resources and scripts, and are held by a single `AgentInMemorySkillsSource`.
+
+**`AgentInMemorySkillsSource`** — A general-purpose skill source that holds any `AgentSkill` instances in memory. Although commonly used for programmatic skills (`AgentInlineSkill` and `AgentClassSkill`), it accepts any `AgentSkill` subclass and is not restricted to code-defined skills:
+
+```csharp
+public sealed class AgentInMemorySkillsSource : AgentSkillsSource
+{
+    public AgentInMemorySkillsSource(
+        IEnumerable<AgentSkill> skills,
+        ILoggerFactory? loggerFactory = null) { ... }
+}
+```
+
+#### Inline Skills
+
+Inline skills are built at runtime via the `AgentInlineSkill` class and its fluent API. They are ideal for quick, agent-specific skill definitions where a full class hierarchy would be overkill.
+
+**`AgentInlineSkill`** — A skill defined entirely in code. Resources can be static values or functions; scripts are always functions. Constructed with name, description, and instructions, then extended with resources and scripts:
+
+```csharp
+public sealed class AgentInlineSkill : AgentSkill
+{
+    public AgentInlineSkill(string name, string description, string instructions, string? license = null, string? compatibility = null, ...) { ... }
+    public AgentInlineSkill(AgentSkillFrontmatter frontmatter, string instructions) { ... }
+
+    public AgentInlineSkill AddResource(object value, string name, string? description = null);
+    public AgentInlineSkill AddResource(Delegate handler, string name, string? description = null);
+    public AgentInlineSkill AddScript(Delegate handler, string name, string? description = null);
+}
+```
+
+**`AgentInlineSkillResource`** — A skill resource that wraps a static value:
+
+```csharp
+public sealed class AgentInlineSkillResource : AgentSkillResource
+{
+    public AgentInlineSkillResource(object value, string name, string? description = null)
+        : base(name, description)
+    {
+        _value = value;
+    }
+
+    public override Task<object?> ReadAsync(IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default)
+    {
+        return Task.FromResult<object?>(_value);
+    }
+}
+```
+
+**`AgentInlineSkillResource`** — A skill resource backed by a delegate. The delegate is invoked via an `AIFunction` each time `ReadAsync` is called, producing a dynamic (computed) value:
+
+```csharp
+public sealed class AgentInlineSkillResource : AgentSkillResource
+{
+    public AgentInlineSkillResource(Delegate handler, string name, string? description = null)
+        : base(name, description)
+    {
+        _function = AIFunctionFactory.Create(handler, name: name);
+    }
+
+    public override async Task<object?> ReadAsync(IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default)
+    {
+        return await _function.InvokeAsync(new AIFunctionArguments() { Services = serviceProvider }, cancellationToken);
+    }
+}
+```
+
+**`AgentInlineSkillScript`** — A skill script backed by a delegate via an `AIFunction`:
+
+```csharp
+public sealed class AgentInlineSkillScript : AgentSkillScript
+{
+    private readonly AIFunction _function;
+
+    public AgentInlineSkillScript(Delegate handler, string name, string? description = null)
+        : base(name, description)
+    {
+        _function = AIFunctionFactory.Create(handler, name: name);
+    }
+
+    public JsonElement? ParametersSchema => _function.JsonSchema;
+
+    public override async Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, ...)
+    {
+        return await _function.InvokeAsync(arguments, cancellationToken);
+    }
+}
+```
+
+**Example** — Creating an inline skill with a resource and script, then adding it to a source:
+
+```csharp
+var skill = new AgentInlineSkill(
+        name: "unit-converter",
+        description: "Converts between measurement units.",
+        instructions: """
+            Use this skill to convert values between metric and imperial units.
+            Refer to the conversion-table resource for supported unit pairs.
+            Run the convert script to perform conversions.
+            """
+    )
+    .AddResource("kg=2.205lb, m=3.281ft, L=0.264gal", "conversion-table", "Supported unit pairs")
+    .AddScript(Convert, "convert", "Converts a value between units");
+
+var source = new AgentInMemorySkillsSource([skill]);
+
+var provider = new AgentSkillsProvider(source);
+
+AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
+{
+    AIContextProviders = [provider],
+});
+
+static string Convert(double value, double factor)
+    => JsonSerializer.Serialize(new { result = Math.Round(value * factor, 4) });
+```
+
+#### Class-Based Skills
+
+Class-based skills are designed for packaging skills as reusable libraries. Users subclass `AgentClassSkill` and override properties. Unlike inline skills, class-based skills are self-contained, can live in shared libraries or NuGet packages, and are well-suited for dependency injection.
+
+**`AgentClassSkill`** — An abstract base class for defining skills as reusable C# classes that bundle all skill components (frontmatter, instructions, resources, scripts) together. Designed for packaging skills as distributable libraries:
+
+```csharp
+public abstract class AgentClassSkill : AgentSkill
+{
+    public abstract string Instructions { get; }
+
+    // Content is auto-synthesized from Frontmatter + Instructions + Resources + Scripts
+    public override string Content =>
+        SkillContentBuilder.BuildContent(Frontmatter.Name, Frontmatter.Description,
+            SkillContentBuilder.BuildBody(Instructions, Resources, Scripts));
+}
+```
+
+**Example** — Defining a class-based skill and adding it to a source:
+
+```csharp
+public class UnitConverterSkill : AgentClassSkill
+{
+    public override AgentSkillFrontmatter Frontmatter { get; } =
+        new("unit-converter", "Converts between measurement units.");
+
+    public override string Instructions => """
+        Use this skill to convert values between metric and imperial units.
+        Refer to the conversion-table resource for supported unit pairs.
+        Run the convert script to perform conversions.
+        """;
+
+    public override IReadOnlyList<AgentSkillResource>? Resources { get; } =
+    [
+        new AgentInlineSkillResource("kg=2.205lb, m=3.281ft", "conversion-table"),
+    ];
+
+    public override IReadOnlyList<AgentSkillScript>? Scripts { get; } =
+    [
+        new AgentInlineSkillScript(Convert, "convert"),
+    ];
+
+    private static string Convert(double value, double factor)
+        => JsonSerializer.Serialize(new { result = Math.Round(value * factor, 4) });
+}
+
+var source = new AgentInMemorySkillsSource([new UnitConverterSkill()]);
+
+var provider = new AgentSkillsProvider(source);
+
+AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
+{
+    AIContextProviders = [provider],
+});
+```
+
+## Filtering, Caching, and Deduplication
+
+The following subsections present alternative approaches for handling filtering, caching, and deduplication of skills across multiple sources.
+
+### Via Composition
+
+In this approach, the `AgentSkillsProvider` accepts a **single** `AgentSkillsSource`. Multiple sources are composed externally via an aggregate source, and cross-cutting concerns like filtering, caching, and deduplication are implemented as **source decorators** — subclasses of `DelegatingAgentSkillsSource` that intercept `GetSkillsAsync()`.
+
+**`FilteringAgentSkillsSource`** — A decorator that applies filter logic before returning results. The decorator pattern keeps filtering orthogonal to source implementations and allows composing multiple filters:
+
+```csharp
+public sealed class FilteringAgentSkillsSource : DelegatingAgentSkillsSource
+{
+    private readonly Func<AgentSkill, bool> _predicate;
+
+    public FilteringAgentSkillsSource(AgentSkillsSource innerSource, Func<AgentSkill, bool> predicate)
+        : base(innerSource)
+    {
+        _predicate = predicate;
+    }
+
+    public override async Task<IList<AgentSkill>> GetSkillsAsync(CancellationToken cancellationToken = default)
+    {
+        var skills = await this.InnerSource.GetSkillsAsync(cancellationToken);
+        return skills.Where(_predicate).ToList();
+    }
+}
+```
+
+**`CachingAgentSkillsSource`** — A decorator that caches skills after the first load, keeping the provider stateless and giving consumers control over caching granularity per source. For example, file-based skills (expensive to discover) can be cached while code-defined skills remain uncached:
+
+```csharp
+public sealed class CachingAgentSkillsSource : DelegatingAgentSkillsSource
+{
+    private IList<AgentSkill>? _cached;
+
+    public CachingAgentSkillsSource(AgentSkillsSource innerSource)
+        : base(innerSource)
+    {
+    }
+
+    public override async Task<IList<AgentSkill>> GetSkillsAsync(CancellationToken cancellationToken = default)
+    {
+        return _cached ??= await this.InnerSource.GetSkillsAsync(cancellationToken);
+    }
+}
+```
+
+**Deduplication** is similarly implemented as a decorator (`DeduplicatingAgentSkillsSource`) that deduplicates by name (case-insensitive, first-one-wins) and logs a warning for skipped duplicates.
+
+**Example** — Combining file-based and code-defined sources with filtering and caching:
+
+```csharp
+var fileSource = new CachingAgentSkillsSource(new AgentFileSkillsSource(["./skills"]));
+var codeSource = new AgentInMemorySkillsSource([myCodeSkill]);
+
+var compositeSource = new FilteringAgentSkillsSource(
+    new AggregatingAgentSkillsSource([fileSource, codeSource]),
+    filter: s => s.Frontmatter.Name != "internal");
+
+var provider = new AgentSkillsProvider(compositeSource);
+
+AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
+{
+    AIContextProviders = [provider],
+});
+```
+
+**Pros:**
+- Clean single-responsibility: the provider serves skills, sources provide them.
+- Caching, filtering, and deduplication are composable as source decorators — each concern is a separate, testable wrapper.
+
+**Cons:**
+- DI is less flexible: multiple `AgentSkillsSource` implementations registered in the container cannot be auto-injected into the provider. The consumer must manually compose them via an aggregate source.
+- Increased public API surface: requires additional public classes (aggregate source, caching decorators, filtering decorators) that consumers need to learn and use.
+
+### Via AgentSkillsProvider
+
+In this approach, the `AgentSkillsProvider` accepts **`IEnumerable<AgentSkillsSource>`** and handles aggregation, filtering, caching, and deduplication internally.
+
+The provider aggregates skills from all registered sources, deduplicates by name (case-insensitive, first-one-wins), caches the result after the first load, and optionally applies filtering via a predicate on `AgentSkillsProviderOptions`. Duplicate skill names are logged as warnings.
+
+**Example** — Registering multiple sources directly with the provider:
+
+```csharp
+// Conceptual example — in practice, use AgentSkillsProviderBuilder
+var fileSource = new AgentFileSkillsSource(["./skills"]);
+var codeSource = new AgentInMemorySkillsSource([myCodeSkill]);
+
+var provider = new AgentSkillsProvider(
+    sources: [fileSource, codeSource],
+    options: new AgentSkillsProviderOptions
+    {
+        Filter = s => s.Frontmatter.Name != "internal",
+    });
+
+AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
+{
+    AIContextProviders = [provider],
+});
+```
+
+**Pros:**
+- DI-friendly: register multiple `AgentSkillsSource` implementations in the container, and they are all auto-injected into `AgentSkillsProvider` via `IEnumerable<AgentSkillsSource>`.
+- Smaller public API surface: no need for aggregate source, caching decorators, or filtering decorator classes — these concerns are handled internally by the provider.
+
+**Cons:**
+- The provider takes on multiple responsibilities — aggregation, caching, deduplication, and filtering.
+- Less granular caching control: caching is all-or-nothing across sources rather than per-source as with decorators.
+- Less extensible: new behaviors (e.g., ordering, TTL expiration) require modifying the provider rather than adding a decorator.
+
+### Builder Pattern
+
+**`AgentSkillsProviderBuilder`** provides a fluent API for composing skills from multiple sources. The builder centralizes configuration — script executors, approval callbacks, prompt templates, and filtering — so consumers don't need to know the underlying source types.
+
+The builder internally decides how to wire up the object graph: it creates the appropriate source instances, applies caching and filtering, and returns a fully configured `AgentSkillsProvider`. This keeps the setup code concise while still allowing fine-grained control when needed.
+
+**Example** — Using the builder to combine multiple source types with configuration:
+
+```csharp
+var provider = new AgentSkillsProviderBuilder()
+    .UseFileSkill("./skills")                           // file-based source
+    .UseInlineSkills(codeSkill)                            // code-defined source
+    .UseClassSkills(new ClassSkill())                    // class-based source
+    .UseFileScriptRunner(SubprocessScriptRunner.RunAsync) // script runner
+    .UseScriptApproval()                                // optional human-in-the-loop
+    .UsePromptTemplate(customTemplate)                  // optional prompt customization
+    .UseFilter(s => s.Frontmatter.Name != "internal")   // optional skill filtering
+    .Build();
+
+AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
+{
+    AIContextProviders = [provider],
+});
+```
+
+## Adding a Custom Skill Type
+
+The skills framework is designed for extensibility. While file-based and inline skills cover common
+scenarios, you can introduce entirely new skill types by subclassing the four base classes:
+
+| Base class            | Purpose                                             |
+|-----------------------|-----------------------------------------------------|
+| `AgentSkillsSource`   | Discovers and loads skills from a particular origin  |
+| `AgentSkill`          | Holds metadata, content, resources, and scripts      |
+| `AgentSkillResource`  | Provides supplementary content to a skill            |
+| `AgentSkillScript`    | Represents an executable action within a skill       |
+
+The example below implements a **cloud-based skill type** where skills, resources, and scripts are
+all stored in and executed through a remote cloud service (e.g., Azure Blob Storage + Azure Functions).
+
+### Step 1 — Define a custom resource
+
+A `CloudSkillResource` reads resource content from a cloud storage endpoint instead of the local
+filesystem:
+
+```csharp
+/// <summary>
+/// A skill resource backed by a cloud storage endpoint.
+/// </summary>
+public sealed class CloudSkillResource : AgentSkillResource
+{
+    private readonly HttpClient _httpClient;
+
+    public CloudSkillResource(string name, Uri blobUri, HttpClient httpClient, string? description = null)
+        : base(name, description)
+    {
+        BlobUri = blobUri ?? throw new ArgumentNullException(nameof(blobUri));
+        _httpClient = httpClient ?? throw new ArgumentNullException(nameof(httpClient));
+    }
+
+    /// <summary>
+    /// Gets the URI of the cloud blob that holds this resource's content.
+    /// </summary>
+    public Uri BlobUri { get; }
+
+    /// <inheritdoc/>
+    public override async Task<object?> ReadAsync(
+        IServiceProvider? serviceProvider = null,
+        CancellationToken cancellationToken = default)
+    {
+        return await _httpClient.GetStringAsync(BlobUri, cancellationToken).ConfigureAwait(false);
+    }
+}
+```
+
+### Step 2 — Define a custom script
+
+A `CloudSkillScript` executes a script by calling a cloud function endpoint, passing arguments as
+the request body:
+
+```csharp
+/// <summary>
+/// A skill script executed via a cloud function endpoint.
+/// </summary>
+public sealed class CloudSkillScript : AgentSkillScript
+{
+    private readonly HttpClient _httpClient;
+
+    public CloudSkillScript(string name, Uri functionUri, HttpClient httpClient, string? description = null)
+        : base(name, description)
+    {
+        FunctionUri = functionUri ?? throw new ArgumentNullException(nameof(functionUri));
+        _httpClient = httpClient ?? throw new ArgumentNullException(nameof(httpClient));
+    }
+
+    /// <summary>
+    /// Gets the URI of the cloud function that runs this script.
+    /// </summary>
+    public Uri FunctionUri { get; }
+
+    /// <inheritdoc/>
+    public override async Task<object?> RunAsync(
+        AgentSkill skill,
+        AIFunctionArguments arguments,
+        CancellationToken cancellationToken = default)
+    {
+        var json = JsonSerializer.Serialize(arguments);
+        using var content = new StringContent(json, Encoding.UTF8, "application/json");
+        var response = await _httpClient.PostAsync(FunctionUri, content, cancellationToken)
+            .ConfigureAwait(false);
+        response.EnsureSuccessStatusCode();
+        return await response.Content.ReadAsStringAsync(cancellationToken).ConfigureAwait(false);
+    }
+}
+```
+
+### Step 3 — Define a custom skill
+
+A `CloudSkill` bundles cloud-specific metadata (e.g., the base endpoint) with the standard skill
+shape:
+
+```csharp
+/// <summary>
+/// An <see cref="AgentSkill"/> whose content, resources, and scripts are stored in a cloud service.
+/// </summary>
+public sealed class CloudSkill : AgentSkill
+{
+    public CloudSkill(
+        AgentSkillFrontmatter frontmatter,
+        string content,
+        Uri endpoint,
+        IReadOnlyList<AgentSkillResource>? resources = null,
+        IReadOnlyList<AgentSkillScript>? scripts = null)
+    {
+        Frontmatter = frontmatter ?? throw new ArgumentNullException(nameof(frontmatter));
+        Content = content ?? throw new ArgumentNullException(nameof(content));
+        Endpoint = endpoint ?? throw new ArgumentNullException(nameof(endpoint));
+        Resources = resources;
+        Scripts = scripts;
+    }
+
+    /// <inheritdoc/>
+    public override AgentSkillFrontmatter Frontmatter { get; }
+
+    /// <inheritdoc/>
+    public override string Content { get; }
+
+    /// <summary>
+    /// Gets the base cloud endpoint for this skill.
+    /// </summary>
+    public Uri Endpoint { get; }
+
+    /// <inheritdoc/>
+    public override IReadOnlyList<AgentSkillResource>? Resources { get; }
+
+    /// <inheritdoc/>
+    public override IReadOnlyList<AgentSkillScript>? Scripts { get; }
+}
+```
+
+### Step 4 — Define a custom source
+
+A `CloudSkillsSource` discovers skills from a cloud catalog API and constructs `CloudSkill`
+instances with their associated resources and scripts:
+
+```csharp
+/// <summary>
+/// A skill source that discovers and loads skills from a cloud catalog API.
+/// </summary>
+public sealed class CloudSkillsSource : AgentSkillsSource
+{
+    private readonly Uri _catalogUri;
+    private readonly HttpClient _httpClient;
+
+    public CloudSkillsSource(Uri catalogUri, HttpClient httpClient)
+    {
+        _catalogUri = catalogUri ?? throw new ArgumentNullException(nameof(catalogUri));
+        _httpClient = httpClient ?? throw new ArgumentNullException(nameof(httpClient));
+    }
+
+    /// <inheritdoc/>
+    public override async Task<IList<AgentSkill>> GetSkillsAsync(
+        CancellationToken cancellationToken = default)
+    {
+        // Fetch the skill catalog from the cloud service.
+        var json = await _httpClient.GetStringAsync(_catalogUri, cancellationToken)
+            .ConfigureAwait(false);
+        var catalog = JsonSerializer.Deserialize<CloudSkillCatalog>(json)!;
+
+        var skills = new List<AgentSkill>();
+
+        foreach (var entry in catalog.Skills)
+        {
+            var frontmatter = new AgentSkillFrontmatter(entry.Name, entry.Description);
+
+            // Build cloud-backed resources.
+            var resources = entry.Resources
+                .Select(r => new CloudSkillResource(r.Name, r.BlobUri, _httpClient, r.Description))
+                .ToList<AgentSkillResource>();
+
+            // Build cloud-backed scripts.
+            var scripts = entry.Scripts
+                .Select(s => new CloudSkillScript(s.Name, s.FunctionUri, _httpClient, s.Description))
+                .ToList<AgentSkillScript>();
+
+            skills.Add(new CloudSkill(frontmatter, entry.Content, entry.Endpoint, resources, scripts));
+        }
+
+        return skills;
+    }
+}
+```
+
+### Step 5 — Register with the builder
+
+Use `UseSource` to wire the custom source into the provider:
+
+```csharp
+var httpClient = new HttpClient();
+
+var provider = new AgentSkillsProviderBuilder()
+    .UseSource(new CloudSkillsSource(
+        new Uri("https://my-service.example.com/skills/catalog"),
+        httpClient))
+    // Mix with other source types if needed:
+    .UseFileSkill("/local/skills", scriptRunner)
+    .UseInlineSkills(someInlineSkill)
+    .Build();
+```
+
+The `AgentSkillsProvider` handles all skill types uniformly — any combination of file-based, inline,
+class-based, and custom skills can coexist in the same provider. Custom skills automatically
+participate in the model-facing tools (`load_skill`, `read_skill_resource`, `run_skill_script`),
+filtering, deduplication, and caching — no additional integration work is required.
+
+## Script Representation: `AgentSkillScript` vs `AIFunction`
+
+Two approaches were considered for representing executable scripts within skills:
+
+### Option A — Custom `AgentSkillScript` abstract base class (original design)
+
+Scripts are modeled as a custom `AgentSkillScript` abstract class with `Name`, `Description`, and
+`RunAsync(AgentSkill, AIFunctionArguments, CancellationToken)`. Concrete implementations:
+`AgentInlineSkillScript` (wraps a delegate/`AIFunction`) and `AgentFileSkillScript` (wraps a file path + executor delegate).
+
+```csharp
+// Base type
+public abstract class AgentSkillScript
+{
+    public string Name { get; }
+    public string? Description { get; }
+    public abstract Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, CancellationToken cancellationToken = default);
+}
+
+// AgentSkill exposes scripts as:
+public abstract IReadOnlyList<AgentSkillScript>? Scripts { get; }
+
+// Inline script wraps an AIFunction internally
+var script = new AgentInlineSkillScript(ConvertUnits, "convert");
+
+// Pre-built AIFunction must be wrapped
+var script = new AgentInlineSkillScript(myAIFunction);
+
+// Class-based skill declares scripts as:
+public override IReadOnlyList<AgentSkillScript>? Scripts { get; } =
+[
+    new AgentInlineSkillScript(ConvertUnits, "convert"),
+];
+
+// Provider executes scripts by passing the owning skill:
+await script.RunAsync(skill, arguments, cancellationToken);
+```
+
+**Pros:**
+
+- **Explicit skill context at execution time.** `RunAsync` receives the owning `AgentSkill`, so any script can access skill metadata or resources during execution without requiring construction-time wiring.
+- **Self-contained abstraction.** A dedicated type communicates clearly that scripts are a skills-framework concept, separate from general-purpose AI functions.
+- **Easier extensibility for custom script types.** Third-party implementations can subclass `AgentSkillScript` and access the owning skill in `RunAsync` without special setup.
+
+**Cons:**
+
+- **Wrapper overhead.** `AgentInlineSkillScript` is a thin pass-through around `AIFunction` — it adds a class, a constructor, and an indirection layer for no behavioral difference.
+- **Parallel abstraction.** `AgentSkillScript` and `AIFunction` serve overlapping purposes (named callable with arguments), creating two parallel hierarchies for the same concept.
+- **Friction for consumers.** Users who already have `AIFunction` instances must wrap them in `AgentInlineSkillScript` to use them as scripts, adding ceremony.
+
+### Option B — Reuse `AIFunction` directly
+
+Scripts are represented as `AIFunction` (from `Microsoft.Extensions.AI`). `AgentSkill.Scripts` returns
+`IReadOnlyList<AIFunction>?`. `AgentInlineSkillScript` is eliminated entirely — callers use
+`AIFunctionFactory.Create(delegate, name: ...)` or pass `AIFunction` instances directly.
+`AgentFileSkillScript` becomes an `AIFunction` subclass that captures its owning `AgentFileSkill` via
+an internal back-reference set during construction.
+
+```csharp
+// AgentSkill exposes scripts as AIFunction directly:
+public abstract IReadOnlyList<AIFunction>? Scripts { get; }
+
+// Inline scripts use AIFunctionFactory — no wrapper class needed
+var skill = new AgentInlineSkill("my-skill", "desc", "instructions");
+skill.AddScript(ConvertUnits, "convert");           // delegate
+skill.AddScript(myAIFunction);                       // pre-built AIFunction — no wrapping
+
+// Class-based skill declares scripts as:
+public override IReadOnlyList<AIFunction>? Scripts { get; } =
+[
+    AIFunctionFactory.Create(ConvertUnits, name: "convert"),
+];
+
+// Provider executes scripts via standard AIFunction invocation:
+await script.InvokeAsync(arguments, cancellationToken);
+
+// File-based scripts extend AIFunction and capture the owning skill internally:
+public sealed class AgentFileSkillScript : AIFunction
+{
+    internal AgentFileSkill? Skill { get; set; }   // set by AgentFileSkill constructor
+
+    protected override async ValueTask<object?> InvokeCoreAsync(
+        AIFunctionArguments arguments, CancellationToken cancellationToken)
+    {
+        return await _executor(Skill!, this, arguments, cancellationToken);
+    }
+}
+```
+
+**Pros:**
+
+- **Fewer types.** Eliminates `AgentSkillScript` and `AgentInlineSkillScript`, reducing the public API surface by two classes.
+- **Seamless interop.** Any `AIFunction` — whether from `AIFunctionFactory`, a custom subclass, or an external library — can be used as a skill script with zero wrapping.
+- **Consistent with `Microsoft.Extensions.AI` ecosystem.** Scripts share the same type as tool functions used by `IChatClient` and `FunctionInvokingChatClient`, reducing conceptual overhead for developers already familiar with the ecosystem.
+
+**Cons:**
+
+- **No owning-skill context in invocation signature.** `AIFunction.InvokeAsync` does not accept an `AgentSkill` parameter, so `AgentFileSkillScript` must capture its owning skill via an internal setter during construction. This adds a construction-order dependency: the skill must set the back-reference on its scripts.
+- **Custom script types lose automatic skill access.** Third-party `AIFunction` subclasses that need the owning skill must implement their own mechanism (e.g., constructor injection, closure capture) instead of receiving it as a method parameter.
+- **Semantic overloading.** `AIFunction` now means both "a tool the model can call" and "a script within a skill", which could blur the distinction for framework users.
+
+## Resource Representation: `AgentSkillResource` vs `AIFunction`
+
+Two approaches were considered for representing skill resources (supplementary content such as references, assets, or dynamic data):
+
+### Option A — Custom `AgentSkillResource` abstract base class (original design)
+
+Resources are modeled as a custom `AgentSkillResource` abstract class with `Name`, `Description`, and
+`ReadAsync(IServiceProvider?, CancellationToken)`. Concrete implementations:
+`AgentInlineSkillResource` (static value, delegate, or `AIFunction` wrapper) and `AgentFileSkillResource` (reads file content from disk).
+
+```csharp
+// Base type
+public abstract class AgentSkillResource
+{
+    public string Name { get; }
+    public string? Description { get; }
+    public abstract Task<object?> ReadAsync(IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default);
+}
+
+// AgentSkill exposes resources as:
+public abstract IReadOnlyList<AgentSkillResource>? Resources { get; }
+
+// Static resource
+var resource = new AgentInlineSkillResource("static content", "my-resource");
+
+// Dynamic resource (delegate)
+var resource = new AgentInlineSkillResource((IServiceProvider sp) => GetData(sp), "my-resource");
+
+// Pre-built AIFunction must be wrapped
+var resource = new AgentInlineSkillResource(myAIFunction);
+
+// Class-based skill declares resources as:
+public override IReadOnlyList<AgentSkillResource>? Resources { get; } =
+[
+    new AgentInlineSkillResource("# Conversion Tables\n...", "conversion-table"),
+];
+
+// Provider reads resources via:
+await resource.ReadAsync(serviceProvider, cancellationToken);
+```
+
+**Pros:**
+
+- **Clear semantic distinction.** A dedicated `AgentSkillResource` type distinguishes resources (data providers) from scripts (executable actions), making the API self-documenting.
+- **Purpose-built API.** `ReadAsync` communicates intent better than `InvokeAsync` for a data-access operation.
+
+**Cons:**
+
+- **Wrapper overhead.** `AgentInlineSkillResource` wraps `AIFunction` internally for delegate/function cases — adding a class and indirection for no behavioral difference.
+- **Parallel abstraction.** `AgentSkillResource` and `AIFunction` serve overlapping purposes (named callable that returns data), creating two parallel hierarchies.
+- **Friction for consumers.** Users who already have `AIFunction` instances must wrap them in `AgentInlineSkillResource`, adding ceremony.
+
+### Option B — Reuse `AIFunction` directly
+
+Resources are represented as `AIFunction`. `AgentSkill.Resources` returns `IReadOnlyList<AIFunction>?`.
+`AgentInlineSkillResource` becomes an `AIFunction` subclass (retained as a convenience for the static-value
+pattern: `new AgentInlineSkillResource("data", "name")`). `AgentFileSkillResource` becomes an `AIFunction`
+subclass that reads file content.
+
+```csharp
+// AgentSkill exposes resources as AIFunction directly:
+public abstract IReadOnlyList<AIFunction>? Resources { get; }
+
+// Static resource — AgentInlineSkillResource is retained as a convenience AIFunction subclass
+var resource = new AgentInlineSkillResource("static content", "my-resource");
+
+// Dynamic resource — AgentInlineSkillResource wraps delegate as AIFunction
+var resource = new AgentInlineSkillResource((IServiceProvider sp) => GetData(sp), "my-resource");
+
+// Pre-built AIFunction can be used directly — no wrapping needed
+skill.AddResource(myAIFunction);
+
+// Class-based skill declares resources as:
+public override IReadOnlyList<AIFunction>? Resources { get; } =
+[
+    new AgentInlineSkillResource("# Conversion Tables\n...", "conversion-table"),
+];
+
+// Provider reads resources via standard AIFunction invocation:
+await resource.InvokeAsync(arguments, cancellationToken);
+
+// File-based resources extend AIFunction directly:
+internal sealed class AgentFileSkillResource : AIFunction
+{
+    public string FullPath { get; }
+
+    protected override async ValueTask<object?> InvokeCoreAsync(
+        AIFunctionArguments arguments, CancellationToken cancellationToken)
+    {
+        return await File.ReadAllTextAsync(FullPath, Encoding.UTF8, cancellationToken);
+    }
+}
+```
+
+**Pros:**
+
+- **Fewer base types.** Eliminates the `AgentSkillResource` abstract class, reducing the public API surface.
+- **Seamless interop.** Any `AIFunction` can be used as a skill resource with zero wrapping.
+
+**Cons:**
+
+- **Loss of semantic distinction.** Resources and scripts are now both `AIFunction`, which could make it less obvious which list a function belongs to when reading code.
+- **Static values require a wrapper.** Unlike the original `ReadAsync` which could return a stored value directly, `AIFunction.InvokeAsync` implies invocation. `AgentInlineSkillResource` is retained as a convenience subclass to handle the static-value case, so this is not eliminated — just moved to a different class.
+
+## Decision Outcome
+
+### 1. Keep `AgentSkillResource` and `AgentSkillScript` (Option A for both sections)
+
+We are staying with the custom `AgentSkillResource` and `AgentSkillScript` model classes instead of reusing `AIFunction`:
+
+- **Resources have no parameters.** If a consumer provides an `AIFunction` with parameters, those parameters will never be advertised to the LLM, and the resulting call will fail.
+- **Approval breaks for `AIFunction`-based representations.** When a resource or script represented by an `AIFunction` is configured with approval, the second approval invocation will not work correctly.
+- **Injecting the owning skill into an `AIFunction`-based script is problematic.** Constructor injection would introduce a circular reference between the skill and the script. An internal property setter is possible but adds coupling.
+
+### 2. Make all agent skill classes internal
+
+All agent-skill-related classes are made `internal` to minimize the public API surface while the feature matures. We can reconsider and promote types to `public` later based on community signal.
+
+This leaves two public entry points:
+
+- **`AgentSkillsProvider`** — use directly when all skills come from a single source and filtering is not needed.
+- **`AgentSkillsProviderBuilder`** — use when mixing skill types or when filtering support is required.
+
+### 3. Caching at provider level
+
+Caching of tools and instructions is implemented inside `AgentSkillsProvider` rather than as an external decorator. Recreating tools and instructions on every provider call is wasteful, and a caching decorator sitting outside the provider would not have the information needed to cache them effectively.

docs/decisions/0021-provider-leading-clients.md

@@ -0,0 +1,72 @@
+---
+status: accepted
+contact: eavanvalkenburg
+date: 2026-03-20
+deciders: eavanvalkenburg, sphenry, chetantoshnival
+consulted: taochenosu, moonbox3, dmytrostruk, giles17, alliscode
+---
+
+# Provider-Leading Client Design & OpenAI Package Extraction
+
+## Context and Problem Statement
+
+The `agent-framework-core` package currently bundles OpenAI and Azure OpenAI client implementations along with their dependencies (`openai`, `azure-identity`, `azure-ai-projects`, `packaging`). This makes core heavier than necessary for users who don't use OpenAI, and it conflates the core abstractions with a specific provider implementation. Additionally, the current class naming (`OpenAIResponsesClient`, `OpenAIChatClient`) is based on the underlying OpenAI API names rather than what users actually want to do, making discoverability harder for newcomers.
+
+## Decision Drivers
+
+- **Lightweight core**: Core should only contain abstractions, middleware infrastructure, and telemetry — no provider-specific code or dependencies.
+- **Discoverability-first**: Import namespaces should guide users to the right client. `from agent_framework.openai import ...` should surface all OpenAI-related clients; `from agent_framework.azure import ...` should surface Foundry, Azure AI, and other Azure-specific classes.
+- **Provider-leading naming**: The primary client name should reflect the provider, not the underlying API. The Responses API is now the recommended default for OpenAI, so its client should be called `OpenAIChatClient` (not `OpenAIResponsesClient`).
+- **Clean separation of concerns**: Azure-specific deprecated wrappers belong in the azure-ai package, not in the OpenAI package.
+
+## Considered Options
+
+- **Keep OpenAI in core**: Simpler but keeps core heavy; doesn't help discoverability.
+- **Extract OpenAI with Azure wrappers in the OpenAI package**: Keeps Azure OpenAI wrappers alongside OpenAI code, but pollutes the OpenAI package with Azure concerns.
+- **Extract OpenAI, place Azure wrappers in azure-ai**: Clean separation; the OpenAI package has zero Azure dependencies; deprecated Azure wrappers live in a single file in azure-ai for easy future deletion.
+
+## Decision Outcome
+
+Chosen option: "Extract OpenAI, place Azure wrappers in azure-ai", because it achieves the lightest core, cleanest OpenAI package, and the most maintainable deprecation path.
+
+Key changes:
+
+1. **New `agent-framework-openai` package** with dependencies on `agent-framework-core`, `openai`, and `packaging` only.
+2. **Class renames**: `OpenAIResponsesClient` → `OpenAIChatClient` (Responses API), `OpenAIChatClient` → `OpenAIChatCompletionClient` (Chat Completions API). Old names remain as deprecated aliases.
+3. **Deprecated classes**: `OpenAIAssistantsClient`, all `AzureOpenAI*Client` classes, `AzureAIClient`, `AzureAIAgentClient`, and `AzureAIProjectAgentProvider` are marked deprecated.
+4. **New `FoundryChatClient`** in azure-ai for Azure AI Foundry Responses API access, built on `RawFoundryChatClient(RawOpenAIChatClient)`.
+5. **All deprecated `AzureOpenAI*` classes** consolidated into a single file (`_deprecated_azure_openai.py`) in the azure-ai package for clean future deletion.
+6. **Core's `agent_framework.openai` and `agent_framework.azure` namespaces** become lazy-loading gateways, preserving backward-compatible import paths while removing hard dependencies.
+7. **Unified `model` parameter** replaces `model_id` (OpenAI), `deployment_name` (Azure OpenAI), and `model_deployment_name` (Azure AI) across all client constructors. The term `model` is intentionally generic: it naturally maps to an OpenAI model name *and* to an Azure OpenAI deployment name, making it straightforward to use `OpenAIChatClient` with either OpenAI or Azure OpenAI backends (via `AsyncAzureOpenAI`). Environment variables are similarly unified (e.g., `OPENAI_MODEL` instead of separate `OPENAI_RESPONSES_MODEL_ID` / `OPENAI_CHAT_MODEL_ID`).
+8. **`FoundryAgent`** replaces the pattern of `Agent(client=AzureAIClient(...))` for connecting to pre-configured agents in Azure AI Foundry (PromptAgents and HostedAgents). The underlying `RawFoundryAgentChatClient` is an implementation detail — most users interact only with `FoundryAgent`. `AzureAIAgentClient` is separately deprecated as it refers to the V1 Agents Service API. See below for design rationale.
+
+### Foundry Agent Design: `FoundryAgentClient` vs `FoundryAgent`
+
+The existing `AzureAIClient` combines two concerns: CRUD lifecycle management (creating/deleting agents on the service) and runtime communication (sending messages via the Responses API). The new design removes CRUD entirely — users connect to agents that already exist in Foundry.
+
+**Two approaches were considered:**
+
+**Option A — `FoundryAgentClient` only (public ChatClient):**
+Users compose `Agent(client=FoundryAgentClient(...), tools=[...])`. This follows the universal `Agent(client=X)` pattern used by every other provider. However, a "client" that wraps a named remote agent (with `agent_name` as a constructor param) is semantically odd — clients typically wrap a model endpoint, not a specific agent.
+
+**Option B — `FoundryAgent` (Agent subclass) + private `_FoundryAgentChatClient` and public `RawFoundryAgentChatClient`:**
+Users write `FoundryAgent(agent_name="my-agent", ...)` for the common case. Internally, `FoundryAgent` creates a `_FoundryAgentChatClient` and passes it to the standard `Agent` base class. For advanced customization, users pass `client_type=RawFoundryAgentChatClient` (or a custom subclass) to control the client middleware layers. The `Agent(client=RawFoundryAgentChatClient(...))` composition pattern still works for users who prefer it.
+
+**Chosen option: Option B**, because:
+- The common case (`FoundryAgent(...)`) is a single object with no boilerplate.
+- `client_type=` gives full control over client middleware without parameter duplication — the agent forwards connection params to the client internally.
+- `RawFoundryAgent(RawAgent)` and `FoundryAgent(Agent)` mirror the established `RawAgent`/`Agent` pattern.
+- Runtime validation (only `FunctionTool` allowed) lives in `RawFoundryAgentChatClient._prepare_options`, ensuring it applies regardless of how the client is used — through `FoundryAgent`, `Agent(client=...)`, or any custom composition.
+
+**Public classes:**
+- `RawFoundryAgentChatClient(RawOpenAIChatClient)` — Responses API client that injects agent reference and validates tools. Extension point for custom client middleware.
+- `RawFoundryAgent(RawAgent)` — Agent without agent-level middleware/telemetry.
+- `FoundryAgent(AgentTelemetryLayer, AgentMiddlewareLayer, RawFoundryAgent)` — Recommended production agent.
+
+**Internal (private):**
+- `_FoundryAgentChatClient` — Full client with function invocation, chat middleware, and telemetry layers. Created automatically by `FoundryAgent`; users customize via `client_type=RawFoundryAgentChatClient` or a custom subclass.
+
+**Deprecated:**
+- `AzureAIClient` — replaced by `FoundryAgent` (which uses `FoundryAgentClient` internally).
+- `AzureAIAgentClient` — refers to V1 Agents Service API, no direct replacement.
+- `AzureAIProjectAgentProvider` — replaced by `FoundryAgent`.

docs/decisions/0022-chat-history-persistence-consistency.md

@@ -0,0 +1,116 @@
+---
+status: accepted
+contact: westey-m
+date: 2026-03-23
+deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub
+consulted:
+informed:
+---
+
+# Chat History Persistence Consistency
+
+## Context and Problem Statement
+
+When using `ChatClientAgent` with tools, the `FunctionInvokingChatClient` (FIC) loops multiple times — service call → tool execution → service call → … — before producing a final response. There are two points of discrepancy between how chat history is stored by the framework's `ChatHistoryProvider` and how the underlying AI service stores chat history (e.g., OpenAI Responses with `store=true`):
+
+1. **Persistence timing**: The AI service persists messages after *each* service call within the FIC loop. The `ChatHistoryProvider` currently persists messages only once, at the *end* of the full agent run (after all FIC loop iterations complete).
+
+2. **Trailing `FunctionResultContent` storage**: When tool calling is terminated mid-loop (e.g., via `FunctionInvokingChatClient` termination filters), the final response from the agent may contain `FunctionResultContent` that was never sent to a subsequent service call. The AI service never stores this trailing `FunctionResultContent`, but the `ChatHistoryProvider` currently stores all response content, including the trailing `FunctionResultContent`.
+
+These discrepancies mean that a `ChatHistoryProvider`-managed conversation and a service-managed conversation can diverge in content and structure, even when processing the same interactions.
+
+### Practical Impact: Resuming After Tool-Call Termination
+
+Today, users of `AIAgent` get different behaviors depending on whether chat history is stored service-side or in a `ChatHistoryProvider`. This creates concrete challenges — for example, when the function call loop is terminated and the user wants to resume the conversation in a subsequent run. With service-stored history, the trailing `FunctionResultContent` is never persisted, so the last stored message is the `FunctionCallContent` from the service. With `ChatHistoryProvider`-stored history, the trailing `FunctionResultContent` *is* persisted. The user cannot know whether the last `FunctionResultContent` is in the chat history or not without inspecting the storage mechanism, making it difficult to write resumption logic that works correctly regardless of the storage backend.
+
+### Relationship Between the Two Discrepancies
+
+The persistence timing and `FunctionResultContent` trimming behaviors are interrelated:
+
+- **Per-service-call persistence**: When messages are persisted after each individual service call, trailing `FunctionResultContent` trimming is unnecessary. If tool calling is terminated, the `FunctionResultContent` from the terminated call was never sent to a subsequent service call, so it is never persisted. The per-service-call approach naturally matches the service's behavior.
+
+- **Per-run persistence**: When messages are batched and persisted at the end of the full run, trailing `FunctionResultContent` trimming becomes necessary to match the service's behavior. Without trimming, the stored history contains `FunctionResultContent` that the service would never have stored.
+
+This means the trimming feature (introduced in [PR #4792](https://github.com/microsoft/agent-framework/pull/4792)) is primarily needed as a complement to per-run persistence. The `PersistChatHistoryAtEndOfRun` setting (introduced in [PR #4762](https://github.com/microsoft/agent-framework/pull/4762)) inverts the default so that per-service-call persistence is the standard behavior, and per-run persistence is opt-in.
+
+## Decision Drivers
+
+- **A. Consistency**: The default behavior of `ChatHistoryProvider` should produce stored history that closely matches what the underlying AI service would store, minimizing surprise when switching between framework-managed and service-managed chat history.
+- **B. Atomicity**: A run that fails mid-way through a multi-step tool-calling loop should not leave chat history in a partially-updated state, unless the user explicitly opts into that behavior.
+- **C. Recoverability**: For long-running tool-calling loops, it should be possible to recover intermediate progress if the process is interrupted, rather than losing all work from the current run.
+- **D. Simplicity**: The default behavior should be easy to understand and predict for most users, without requiring knowledge of the FIC loop internals.
+- **E. Flexibility**: Regardless of the chosen default, users should be able to opt into the alternative behavior.
+
+## Considered Options
+
+- Option 1: Default to per-run persistence with `FunctionResultContent` trimming (opt-in to per-service-call)
+- Option 2: Default to per-service-call persistence (opt-in to per-run)
+
+## Pros and Cons of the Options
+
+### Option 1: Default to per-run persistence with `FunctionResultContent` trimming
+
+Keep the current default behavior of persisting chat history only at the end of the full agent run. Add `FunctionResultContent` trimming as the default to improve consistency with service storage. Provide an opt-in setting for users who want per-service-call persistence.
+
+Settings:
+- `PersistChatHistoryAtEndOfRun` = `true`
+
+- Good, because runs are atomic — chat history is only updated when the full run succeeds, satisfying driver B.
+- Good, because the mental model is simple: one run = one history update, satisfying driver D.
+- Good, because trimming trailing `FunctionResultContent` improves consistency with service storage, partially satisfying driver A.
+- Good, because users can opt in to per-service-call persistence for checkpointing/recovery scenarios, satisfying drivers C and E.
+- Bad, because the default persistence timing still differs from the service's behavior (per-run vs. per-service-call), only partially satisfying driver A.
+- Bad, because if the process crashes mid-loop, all intermediate progress from the current run is lost, not satisfying driver C by default.
+
+### Option 2: Default to per-service-call persistence
+
+Change the default to persist chat history after each individual service call within the FIC loop, matching the AI service's behavior. Trailing `FunctionResultContent` trimming is unnecessary with this approach (it is naturally handled). Provide an opt-in setting for users who want per-run atomicity with trimming.
+
+Settings:
+- `PersistChatHistoryAtEndOfRun` = `false` (default)
+
+- Good, because the stored history matches the service's behavior by default for both timing and content, fully satisfying driver A.
+- Good, because intermediate progress is preserved if the process is interrupted, satisfying driver C.
+- Good, because no separate `FunctionResultContent` trimming logic is needed, reducing complexity.
+- Bad, because chat history may be left in an incomplete state if the run fails mid-loop (e.g., `FunctionCallContent` stored without corresponding `FunctionResultContent`), not satisfying driver B. A subsequent run cannot proceed without manually providing the missing `FunctionResultContent`.
+- Bad, because the mental model is more complex: a single run may produce multiple history updates, partially failing driver D.
+- Neutral, because users can opt out to per-run persistence if they prefer atomicity, satisfying driver E.
+
+## Decision Outcome
+
+Chosen option: **Option 2 — Default to per-service-call persistence**, because it fully satisfies the consistency driver (A), naturally handles `FunctionResultContent` trimming without additional logic, and provides better recoverability for long-running tool-calling loops. Per-run persistence remains available via the `PersistChatHistoryAtEndOfRun` setting for users who prefer atomic run semantics.
+
+### Configuration Matrix
+
+The behavior depends on the combination of `UseProvidedChatClientAsIs` and `PersistChatHistoryAtEndOfRun`:
+
+| `UseProvidedChatClientAsIs` | `PersistChatHistoryAtEndOfRun` | Behavior |
+|---|---|---|
+| `false` (default) | `false` (default) | **Per-service-call persistence.** A `ChatHistoryPersistingChatClient` middleware is automatically injected into the chat client pipeline between `FunctionInvokingChatClient` and the leaf `IChatClient`. Messages are persisted after each service call. |
+| `true` | `false` | **User responsibility.** No middleware is injected because the user has provided a custom chat client stack. The user is responsible for ensuring correct persistence behavior (e.g., by including their own persisting middleware). |
+| `false` | `true` | **Per-run persistence with marking.** A `ChatHistoryPersistingChatClient` middleware is injected, but configured to *mark* messages with metadata rather than store them immediately. At the end of the run, marked messages are stored. Trailing `FunctionResultContent` is trimmed. |
+| `true` | `true` | **Per-run persistence with warning.** The system checks whether the custom chat client stack includes a `ChatHistoryPersistingChatClient`. If not, a warning is emitted (particularly relevant for workflow handoff scenarios where trimming cannot be guaranteed). If no `ChatHistoryPersistingChatClient` is preset, all messages are stored at the end of the run, otherwise marked messages are stored. |
+
+### Consequences
+
+- Good, because the stored history matches the service's behavior by default for both timing and content, fully satisfying consistency (driver A).
+- Good, because intermediate progress is preserved if the process is interrupted, satisfying recoverability (driver C).
+- Good, because no separate `FunctionResultContent` trimming logic is needed in the default path, reducing complexity.
+- Good, because marking persisted messages with metadata enables deduplication and aids debugging.
+- Good, because warnings for custom chat client configurations without the persisting middleware help prevent silent failures in workflow handoff scenarios.
+- Bad, because chat history may be left in an incomplete state if the run fails mid-loop (e.g., `FunctionCallContent` stored without corresponding `FunctionResultContent`), requiring manual recovery in rare cases.
+- Bad, because the mental model is more complex for the default path: a single run may produce multiple history updates.
+- Neutral, because users who prefer atomic run semantics can opt in to per-run persistence via `PersistChatHistoryAtEndOfRun = true`.
+- Neutral, because increased write frequency from per-service-call persistence may impact performance for some storage backends; this can be mitigated with a caching decorator.
+
+### Implementation Notes
+
+#### Conversation ID Consistency
+
+The `ChatHistoryPersistingChatClient` middleware must also update the session's `ConversationId` consistently for both response-based and conversation-based service interactions, ensuring the session always reflects the latest service-provided identifier.
+
+## More Information
+
+- [PR #4762: Persist messages during function call loop](https://github.com/microsoft/agent-framework/pull/4762) — introduces `PersistChatHistoryAfterEachServiceCall` option and `ChatHistoryPersistingChatClient` decorator
+- [PR #4792: Trim final FRC to match service storage](https://github.com/microsoft/agent-framework/pull/4792) — introduces `StoreFinalFunctionResultContent` option and `FilterFinalFunctionResultContent` logic
+- [Issue #2889](https://github.com/microsoft/agent-framework/issues/2889) — original issue tracking chat history persistence during function call loops

docs/features/durable-agents/AGENTS.md

@@ -8,7 +8,7 @@ This directory contains feature documentation for the durable agents integration
 
 - .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/`
+- .NET samples: `dotnet/samples/04-hosting/DurableAgents/`
 - Python samples: `python/samples/04-hosting/durabletask/`
 - Official docs (Microsoft Learn): <https://learn.microsoft.com/agent-framework/integrations/azure-functions>
 

docs/features/durable-agents/README.md

@@ -219,7 +219,7 @@ When using the [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-
 
 ## Samples
 
-- **.NET** – [Console app samples](../../../dotnet/samples/Durable/Agents/ConsoleApps/) and [Azure Functions samples](../../../dotnet/samples/Durable/Agents/AzureFunctions/) covering single-agent, chaining, concurrency, conditionals, human-in-the-loop, long-running tools, MCP tool exposure, and reliable streaming.
+- **.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

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

@@ -17,14 +17,17 @@ 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 test --project tests/Microsoft.Agents.AI.<Package>.UnitTests
 dotnet format src/Microsoft.Agents.AI.<Package>
 
 # Run a single test
-dotnet test --filter "FullyQualifiedName~Namespace.TestClassName.TestMethodName"
+# Replace the filter values with the appropriate assembly, namespace, class, and method names for the test you want to run and use * as a wildcard elsewhere, e.g. "/*/*/HttpClientTests/GetAsync_ReturnsSuccessStatusCode"
+# Use `--ignore-exit-code 8` to avoid failing the build when no tests are found for some projects
+dotnet test --filter-query "/<assemblyFilter>/<namespaceFilter>/<classFilter>/<methodFilter>" --ignore-exit-code 8
 
 # Run unit tests only
-dotnet test --filter FullyQualifiedName\~UnitTests
+# Use `--ignore-exit-code 8` to avoid failing the build when no tests are found for integration test projects
+dotnet test --filter-query "/*UnitTests*/*/*/*" --ignore-exit-code 8
 ```
 
 Use `--tl:off` when building to avoid flickering when running commands in the agent.
@@ -56,7 +59,7 @@ 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
+dotnet test --project ./tests/Microsoft.Agents.AI.Abstractions.UnitTests -f net10.0
 ```
 
 Example: Running a single test in a specific project using .NET 10.
@@ -64,7 +67,7 @@ Provide the full namespace, class name, and method name for the test you want to
 
 ```bash
 # From dotnet/ directory
-dotnet test ./tests/Microsoft.Agents.AI.Abstractions.UnitTests -f net10.0 --filter "FullyQualifiedName~Microsoft.Agents.AI.Abstractions.UnitTests.AgentRunOptionsTests.CloningConstructorCopiesProperties"
+dotnet test --project ./tests/Microsoft.Agents.AI.Abstractions.UnitTests -f net10.0 --filter-query "/*/Microsoft.Agents.AI.Abstractions.UnitTests/AgentRunOptionsTests/CloningConstructorCopiesProperties"
 ```
 
 ### Multi-target framework tip
@@ -83,3 +86,45 @@ Just remember to run `dotnet restore` after pulling changes, making changes to p
 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`.
+
+### Microsoft Testing Platform (MTP)
+
+Tests use the [Microsoft Testing Platform](https://learn.microsoft.com/dotnet/core/testing/unit-testing-platform-intro) via xUnit v3. Key differences from the legacy VSTest runner:
+
+- **`dotnet test` requires `--project`** to specify a test project directly (positional arguments are no longer supported).
+- **Test output** uses the MTP format (e.g., `[✓112/x0/↓0]` progress and `Test run summary: Passed!`).
+- **TRX reports** use `--report-xunit-trx` instead of `--logger trx`.
+- **Code coverage** uses `Microsoft.Testing.Extensions.CodeCoverage` with `--coverage --coverage-output-format cobertura`.
+- **Running a test project directly** is supported via `dotnet run --project <test-project>`. This bypasses the `dotnet test` infrastructure and runs the test executable directly with the MTP command line.
+
+- **Running tests across the solution** with a filter may cause some projects to match zero tests, which MTP treats as a failure (exit code 8). Use `--ignore-exit-code 8` to suppress this:
+
+```bash
+# Run all unit tests across the solution, ignoring projects with no matching tests
+dotnet test --solution ./agent-framework-dotnet.slnx --no-build -f net10.0 --ignore-exit-code 8
+```
+
+- **Running tests with `--solution` for a specific TFM** requires all projects in the solution to support that TFM. Not all projects target every framework (e.g., some are `net10.0`-only). Use `./dotnet/eng/scripts/New-FilteredSolution.ps1` to generate a filtered solution:
+
+```powershell
+# Generate a filtered solution for net472 and run tests
+$filtered = ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net472
+dotnet test --solution $filtered --no-build -f net472 --ignore-exit-code 8
+
+# Exclude samples and keep only unit test projects
+./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -ExcludeSamples -TestProjectNameFilter "*UnitTests*" -OutputPath dotnet/filtered-unit.slnx
+```
+
+```bash
+# Run tests via dotnet test (uses MTP under the hood)
+dotnet test --project ./tests/Microsoft.Agents.AI.UnitTests -f net10.0
+
+# Run tests with code coverage (Cobertura format)
+dotnet test --project ./tests/Microsoft.Agents.AI.UnitTests -f net10.0 --coverage --coverage-output-format cobertura --coverage-settings ./tests/coverage.runsettings
+
+# Run tests directly via dotnet run (MTP native command line)
+dotnet run --project ./tests/Microsoft.Agents.AI.UnitTests -f net10.0
+
+# Show MTP command line help
+dotnet run --project ./tests/Microsoft.Agents.AI.UnitTests -f net10.0 -- -?
+```

dotnet/Directory.Packages.props

@@ -11,19 +11,18 @@
   </PropertyGroup>
   <ItemGroup>
     <!-- Aspire.* -->
-    <PackageVersion Include="Anthropic" Version="12.3.0" />
-    <PackageVersion Include="Anthropic.Foundry" Version="0.4.1" />
+    <PackageVersion Include="Anthropic" Version="12.8.0" />
+    <PackageVersion Include="Anthropic.Foundry" Version="0.4.2" />
     <PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="13.0.0-preview.1.25560.3" />
     <PackageVersion Include="Aspire.Hosting.AppHost" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
     <!-- Azure.* -->
-    <PackageVersion Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
-    <PackageVersion Include="Azure.AI.Projects.OpenAI" Version="1.0.0-beta.5" />
-    <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.8" />
-    <PackageVersion Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
-    <PackageVersion Include="Azure.Identity" Version="1.17.1" />
+    <PackageVersion Include="Azure.AI.Projects" Version="2.0.0-beta.2" />
+    <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.10" />
+    <PackageVersion Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
+    <PackageVersion Include="Azure.Identity" Version="1.19.0" />
     <PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.4.0" />
     <!-- Google Gemini  -->
     <PackageVersion Include="Google.GenAI" Version="0.11.0" />
@@ -33,18 +32,19 @@
     <!-- Newtonsoft.Json -->
     <PackageVersion Include="Newtonsoft.Json" Version="13.0.4" />
     <!-- System.* -->
-    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.3" />
+    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.4" />
     <PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
-    <PackageVersion Include="System.ClientModel" Version="1.8.1" />
+    <PackageVersion Include="Microsoft.Bcl.Memory" Version="10.0.4" />
+    <PackageVersion Include="System.ClientModel" Version="1.9.0" />
     <PackageVersion Include="System.CodeDom" Version="10.0.0" />
     <PackageVersion Include="System.Collections.Immutable" Version="10.0.1" />
     <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
-    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.3" />
-    <PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.0" />
+    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.4" />
+    <PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.4" />
     <PackageVersion Include="System.Net.Http.Json" Version="10.0.0" />
-    <PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.3" />
-    <PackageVersion Include="System.Text.Json" Version="10.0.3" />
-    <PackageVersion Include="System.Threading.Channels" Version="10.0.3" />
+    <PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.4" />
+    <PackageVersion Include="System.Text.Json" Version="10.0.4" />
+    <PackageVersion Include="System.Threading.Channels" Version="10.0.4" />
     <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
     <PackageVersion Include="System.Net.Security" Version="4.3.2" />
     <!-- OpenTelemetry -->
@@ -58,27 +58,30 @@
     <PackageVersion Include="OpenTelemetry.Instrumentation.Http" Version="1.13.0" />
     <PackageVersion Include="OpenTelemetry.Instrumentation.Runtime" Version="1.13.0" />
     <!-- Microsoft.AspNetCore.* -->
+    <PackageVersion Include="Microsoft.AspNetCore.Authentication.JwtBearer" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.AspNetCore.Authentication.OpenIdConnect" Version="10.0.0" />
     <PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
     <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
     <!-- 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" Version="10.4.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.4.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.4.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.4.0" />
     <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.AI.OpenAI" Version="10.4.0" />
     <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
+    <PackageVersion Include="Microsoft.Extensions.Compliance.Abstractions" Version="10.4.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.EnvironmentVariables" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="10.0.0" />
-    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.3" />
+    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.4" />
     <PackageVersion Include="Microsoft.Extensions.Hosting" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Logging" Version="10.0.0" />
-    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.3" />
+    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.4" />
     <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
@@ -92,24 +95,25 @@
     <PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.67.0-preview" />
     <PackageVersion Include="Microsoft.SemanticKernel.Plugins.OpenApi" Version="1.67.0" />
     <!-- Agent SDKs -->
-    <PackageVersion Include="GitHub.Copilot.SDK" Version="0.1.23" />
+    <PackageVersion Include="GitHub.Copilot.SDK" Version="0.1.29" />
     <PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
     <!-- M365 Agents SDK -->
     <PackageVersion Include="AdaptiveCards" Version="3.1.0" />
     <PackageVersion Include="Microsoft.Agents.Authentication.Msal" Version="1.3.171-beta" />
     <PackageVersion Include="Microsoft.Agents.Hosting.AspNetCore" Version="1.3.171-beta" />
     <!-- A2A -->
-    <PackageVersion Include="A2A" Version="0.3.3-preview" />
-    <PackageVersion Include="A2A.AspNetCore" Version="0.3.3-preview" />
+    <PackageVersion Include="A2A" Version="0.3.4-preview" />
+    <PackageVersion Include="A2A.AspNetCore" Version="0.3.4-preview" />
     <!-- MCP -->
-    <PackageVersion Include="ModelContextProtocol" Version="0.8.0-preview.1" />
+    <PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
     <!-- Inference SDKs -->
     <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.5.1" />
     <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
+    <PackageVersion Include="Microsoft.ML.Tokenizers" Version="2.0.0" />
     <PackageVersion Include="OllamaSharp" Version="5.4.8" />
-    <PackageVersion Include="OpenAI" Version="2.8.0" />
+    <PackageVersion Include="OpenAI" Version="2.9.1" />
     <!-- Identity -->
-    <PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
+    <PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.83.1" />
     <!-- Workflows -->
     <PackageVersion Include="Microsoft.Agents.ObjectModel" Version="2026.2.4.1" />
     <PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.2.4.1" />
@@ -123,7 +127,7 @@
     <!-- Azure Functions -->
     <PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
-    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.11.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.12.1" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.1" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http" Version="3.3.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
@@ -138,15 +142,14 @@
     <PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net10.0'" Version="10.0.0" />
     <PackageVersion Include="Microsoft.NET.Test.Sdk" Version="18.0.0" />
     <PackageVersion Include="Moq" Version="[4.18.4]" />
-    <PackageVersion Include="xunit" Version="2.9.3" />
-    <PackageVersion Include="xunit.abstractions" Version="2.0.3" />
-    <PackageVersion Include="xunit.runner.visualstudio" Version="3.1.3" />
-    <PackageVersion Include="Xunit.SkippableFact" Version="1.5.23" />
-    <PackageVersion Include="xretry" Version="1.9.0" />
-    <PackageVersion Include="coverlet.collector" Version="6.0.4" />
+    <PackageVersion Include="xunit.v3.mtp-v2" Version="3.2.2" />
+    <PackageVersion Include="xunit.runner.visualstudio" Version="3.1.5" />
+    <PackageVersion Include="xRetry.v3" Version="1.0.0-rc3" />
+    <PackageVersion Include="Microsoft.Testing.Extensions.CodeCoverage" Version="18.4.1" />
     <!-- Symbols -->
     <PackageVersion Include="Microsoft.SourceLink.GitHub" Version="8.0.0" />
     <!-- Toolset -->
+    <PackageVersion Include="ReferenceTrimmer" Version="3.4.5" />
     <PackageVersion Include="Microsoft.CodeAnalysis.Analyzers" Version="3.11.0" />
     <PackageVersion Include="Microsoft.CodeAnalysis.CSharp" Version="4.14.0" />
     <PackageVersion Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100" />
@@ -185,4 +188,4 @@
       <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
     </PackageReference>
   </ItemGroup>
-</Project>
+</Project>

dotnet/README.md

@@ -1,11 +1,5 @@
 # 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
@@ -28,9 +22,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 
 ## Examples & 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
+- [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
 
 ## Agent Framework Documentation
 

dotnet/agent-framework-dotnet.slnx

@@ -5,232 +5,213 @@
     <BuildType Name="Release" />
   </Configurations>
   <Folder Name="/Samples/">
+    <File Path="samples/AGENTS.md" />
     <File Path="samples/README.md" />
   </Folder>
-  <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 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>
-  <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 Name="/Samples/02-agents/">
+    <File Path="samples/02-agents/README.md" />
   </Folder>
-  <Folder Name="/Samples/AGUIClientServer/">
-    <Project Path="samples/AGUIClientServer/AGUIClient/AGUIClient.csproj" />
-    <Project Path="samples/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj" />
-    <Project Path="samples/AGUIClientServer/AGUIServer/AGUIServer.csproj" />
+  <Folder 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>
-  <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 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" />
+    <Project Path="samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Agent_Step18_CompactionPipeline.csproj" />
+    <Project Path="samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Agent_Step19_InFunctionLoopCheckpointing.csproj" />
   </Folder>
-  <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 Name="/Samples/02-agents/DeclarativeAgents/">
+    <Project Path="samples/02-agents/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
+  </Folder>
+  <Folder Name="/Samples/04-hosting/DurableWorkflows/" />
+  <Folder Name="/Samples/04-hosting/DurableWorkflows/ConsoleApps/">
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/01_SequentialWorkflow/01_SequentialWorkflow.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/02_ConcurrentWorkflow/02_ConcurrentWorkflow.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/03_ConditionalEdges/03_ConditionalEdges.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/04_WorkflowAndAgents/04_WorkflowAndAgents.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/05_WorkflowEvents/05_WorkflowEvents.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/06_WorkflowSharedState/06_WorkflowSharedState.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/07_SubWorkflows/07_SubWorkflows.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/ConsoleApps/08_WorkflowHITL/08_WorkflowHITL.csproj" />
+  </Folder>
+  <Folder Name="/Samples/04-hosting/DurableWorkflows/AzureFunctions/">
+    <Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/01_SequentialWorkflow/01_SequentialWorkflow.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/02_ConcurrentWorkflow/02_ConcurrentWorkflow.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/03_WorkflowHITL/03_WorkflowHITL.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/04_WorkflowMcpTool/04_WorkflowMcpTool.csproj" />
+    <Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/05_WorkflowAndAgents/05_WorkflowAndAgents.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/">
     <File Path="samples/GettingStarted/README.md" />
   </Folder>
-  <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 Name="/Samples/02-agents/AGUI/">
+    <File Path="samples/02-agents/AGUI/README.md" />
   </Folder>
-  <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 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>
-  <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 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>
-  <Folder Name="/Samples/GettingStarted/AgentSkills/">
-    <File Path="samples/GettingStarted/AgentSkills/README.md" />
-    <Project Path="samples/GettingStarted/AgentSkills/Agent_Step01_BasicSkills/Agent_Step01_BasicSkills.csproj" />
+  <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>
-  <Folder Name="/Samples/GettingStarted/DeclarativeAgents/">
-    <Project Path="samples/GettingStarted/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
+  <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>
-  <Folder Name="/Samples/GettingStarted/AGUI/">
-    <File Path="samples/GettingStarted/AGUI/README.md" />
+  <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>
-  <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 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>
-  <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 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>
-  <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 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>
-  <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 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" />
+    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/AgentWithMemory_Step05_BoundedChatHistory.csproj" />
   </Folder>
-  <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 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>
-  <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 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>
-  <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 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_Step16_FileSearch/FoundryAgents_Step16_FileSearch.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step17_OpenAPITools/FoundryAgents_Step17_OpenAPITools.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step18_BingCustomSearch/FoundryAgents_Step18_BingCustomSearch.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step19_SharePoint/FoundryAgents_Step19_SharePoint.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step20_MicrosoftFabric/FoundryAgents_Step20_MicrosoftFabric.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step21_WebSearch/FoundryAgents_Step21_WebSearch.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/FoundryAgents_Step22_MemorySearch.csproj" />
+    <Project Path="samples/02-agents/FoundryAgents/FoundryAgents_Step23_LocalMCP/FoundryAgents_Step23_LocalMCP.csproj" />
   </Folder>
-  <Folder Name="/Samples/GettingStarted/AgentWithMemory/">
-    <File Path="samples/GettingStarted/AgentWithMemory/README.md" />
-    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/AgentWithMemory_Step01_ChatHistoryMemory.csproj" />
-    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/AgentWithMemory_Step02_MemoryUsingMem0.csproj" />
-    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step03_CustomMemory/AgentWithMemory_Step03_CustomMemory.csproj" />
-    <Project Path="samples/GettingStarted/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/AgentWithMemory_Step04_MemoryUsingFoundry.csproj" />
+  <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>
-  <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 Name="/Samples/02-agents/Observability/">
+    <Project Path="samples/02-agents/AgentOpenTelemetry/AgentOpenTelemetry.csproj" />
   </Folder>
-  <Folder Name="/Samples/Purview/" />
-  <Folder Name="/Samples/Purview/AgentWithPurview/">
-    <Project Path="samples/Purview/AgentWithPurview/AgentWithPurview.csproj" />
+  <Folder Name="/Samples/03-workflows/">
+    <File Path="samples/03-workflows/README.md" />
   </Folder>
-  <Folder Name="/Samples/GettingStarted/AgentWithRAG/">
-    <File Path="samples/GettingStarted/AgentWithRAG/README.md" />
-    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/AgentWithRAG_Step01_BasicTextRAG.csproj" />
-    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/AgentWithRAG_Step02_CustomVectorStoreRAG.csproj" />
-    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/AgentWithRAG_Step03_CustomRAGDataSource.csproj" />
-    <Project Path="samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/AgentWithRAG_Step04_FoundryServiceRAG.csproj" />
+  <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>
-  <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" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step18_FileSearch/FoundryAgents_Step18_FileSearch.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step19_OpenAPITools/FoundryAgents_Step19_OpenAPITools.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step21_BingCustomSearch/FoundryAgents_Step21_BingCustomSearch.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step22_SharePoint/FoundryAgents_Step22_SharePoint.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step23_MicrosoftFabric/FoundryAgents_Step23_MicrosoftFabric.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step25_WebSearch/FoundryAgents_Step25_WebSearch.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step26_MemorySearch/FoundryAgents_Step26_MemorySearch.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/FoundryAgents_Evaluations_Step01_RedTeaming.csproj" />
-    <Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Evaluations_Step02_SelfReflection/FoundryAgents_Evaluations_Step02_SelfReflection.csproj" />
+  <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>
-  <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 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/InvokeMcpTool/InvokeMcpTool.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>
-  <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" />
-    <Project Path="samples/GettingStarted/Workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
-    <Project Path="samples/GettingStarted/Workflows/Declarative/InvokeMcpTool/InvokeMcpTool.csproj" />
-  </Folder>
-  <Folder Name="/Samples/GettingStarted/Workflows/Declarative/Examples/">
+  <Folder Name="/Samples/03-workflows/Declarative/Examples/">
     <File Path="../workflow-samples/CustomerSupport.yaml" />
     <File Path="../workflow-samples/DeepResearch.yaml" />
     <File Path="../workflow-samples/Marketing.yaml" />
@@ -238,60 +219,118 @@
     <File Path="../workflow-samples/README.md" />
     <File Path="../workflow-samples/wttr.json" />
   </Folder>
-  <Folder Name="/Samples/GettingStarted/Workflows/SharedStates/">
-    <Project Path="samples/GettingStarted/Workflows/SharedStates/SharedStates.csproj" />
+  <Folder Name="/Samples/03-workflows/SharedStates/">
+    <Project Path="samples/03-workflows/SharedStates/SharedStates.csproj" />
   </Folder>
-  <Folder Name="/Samples/GettingStarted/Workflows/Loop/">
-    <Project Path="samples/GettingStarted/Workflows/Loop/Loop.csproj" />
+  <Folder Name="/Samples/03-workflows/Loop/">
+    <Project Path="samples/03-workflows/Loop/Loop.csproj" />
   </Folder>
-  <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 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>
-  <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 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>
-  <Folder Name="/Samples/GettingStarted/Workflows/HumanInTheLoop/">
-    <Project Path="samples/GettingStarted/Workflows/HumanInTheLoop/HumanInTheLoopBasic/HumanInTheLoopBasic.csproj" />
+  <Folder Name="/Samples/03-workflows/HumanInTheLoop/">
+    <Project Path="samples/03-workflows/HumanInTheLoop/HumanInTheLoopBasic/HumanInTheLoopBasic.csproj" />
   </Folder>
-  <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 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>
-  <Folder Name="/Samples/GettingStarted/Workflows/Visualization/">
-    <Project Path="samples/GettingStarted/Workflows/Visualization/Visualization.csproj" />
+  <Folder Name="/Samples/03-workflows/Visualization/">
+    <Project Path="samples/03-workflows/Visualization/Visualization.csproj" />
   </Folder>
-  <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 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>
-  <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 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_SingleAgent/01_SingleAgent.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
+    <Project Path="samples/04-hosting/DurableAgents/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
   </Folder>
-  <Folder Name="/Samples/M365Agent/">
-    <Project Path="samples/M365Agent/M365Agent.csproj" />
+  <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/AgentThreadAndHITL/AgentThreadAndHITL.csproj" />
+    <Project Path="samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
+    <Project Path="samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj" />
+    <Project Path="samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
+    <Project Path="samples/05-end-to-end/HostedAgents/FoundryMultiAgent/FoundryMultiAgent.csproj" />
+    <Project Path="samples/05-end-to-end/HostedAgents/FoundrySingleAgent/FoundrySingleAgent.csproj" />
+  </Folder>
+  <Folder Name="/Samples/05-end-to-end/AspNetAgentAuthorization/">
+    <File Path="samples/05-end-to-end/AspNetAgentAuthorization/docker-compose.yml" />
+    <File Path="samples/05-end-to-end/AspNetAgentAuthorization/README.md" />
+    <Project Path="samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj" />
+    <Project Path="samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj" />
   </Folder>
   <Folder Name="/Solution Items/">
     <File Path=".editorconfig" />
     <File Path=".gitignore" />
+    <File Path="AGENTS.md" />
     <File Path="Directory.Build.props" />
     <File Path="Directory.Build.targets" />
     <File Path="Directory.Packages.props" />
     <File Path="global.json" />
     <File Path="nuget.config" />
+    <File Path="README.md" />
   </Folder>
   <Folder Name="/Solution Items/.github/" />
   <Folder Name="/Solution Items/.github/upgrades/" />
@@ -300,7 +339,6 @@
   </Folder>
   <Folder Name="/Solution Items/.github/workflows/">
     <File Path="../.github/workflows/dotnet-build-and-test.yml" />
-    <File Path="../.github/workflows/dotnet-check-coverage.ps1" />
     <File Path="../.github/workflows/dotnet-format.yml" />
   </Folder>
   <Folder Name="/Solution Items/demos/">
@@ -323,6 +361,10 @@
     <File Path="../docs/decisions/0012-python-typeddict-options.md" />
     <File Path="../docs/decisions/0013-python-get-response-simplification.md" />
     <File Path="../docs/decisions/0014-feature-collections.md" />
+    <File Path="../docs/decisions/0015-agent-run-context.md" />
+    <File Path="../docs/decisions/0016-python-context-middleware.md" />
+    <File Path="../docs/decisions/0017-agent-additional-properties.md" />
+    <File Path="../docs/decisions/0018-agentthread-serialization.md" />
     <File Path="../docs/decisions/adr-short-template.md" />
     <File Path="../docs/decisions/adr-template.md" />
     <File Path="../docs/decisions/README.md" />
@@ -333,6 +375,10 @@
     <File Path="eng/MSBuild/Shared.props" />
     <File Path="eng/MSBuild/Shared.targets" />
   </Folder>
+  <Folder Name="/Solution Items/eng/scripts/">
+    <File Path="eng/scripts/dotnet-check-coverage.ps1" />
+    <File Path="eng/scripts/New-FilteredSolution.ps1" />
+  </Folder>
   <Folder Name="/Solution Items/nuget/">
     <File Path="nuget/icon.png" />
     <File Path="nuget/nuget-package.props" />
@@ -398,6 +444,10 @@
     <File Path="src/Shared/IntegrationTests/OpenAIConfiguration.cs" />
     <File Path="src/Shared/IntegrationTests/README.md" />
   </Folder>
+  <Folder Name="/Solution Items/src/Shared/IntegrationTestsAzureCredentials/">
+    <File Path="src/Shared/IntegrationTestsAzureCredentials/README.md" />
+    <File Path="src/Shared/IntegrationTestsAzureCredentials/TestAzureCliCredentials.cs" />
+  </Folder>
   <Folder Name="/Solution Items/src/Shared/Samples/">
     <File Path="src/Shared/Samples/BaseSample.cs" />
     <File Path="src/Shared/Samples/README.md" />
@@ -405,6 +455,10 @@
     <File Path="src/Shared/Samples/TextOutputHelperExtensions.cs" />
     <File Path="src/Shared/Samples/XunitLogger.cs" />
   </Folder>
+  <Folder Name="/Solution Items/src/Shared/Redaction/">
+    <File Path="src/Shared/Redaction/README.md" />
+    <File Path="src/Shared/Redaction/ReplacingRedactor.cs" />
+  </Folder>
   <Folder Name="/Solution Items/src/Shared/Throw/">
     <File Path="src/Shared/Throw/README.md" />
     <File Path="src/Shared/Throw/Throw.cs" />
@@ -428,6 +482,7 @@
     <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.FoundryMemory/Microsoft.Agents.AI.FoundryMemory.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" />
@@ -435,7 +490,6 @@
     <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" />
@@ -454,11 +508,11 @@
     <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.FoundryMemory.IntegrationTests/Microsoft.Agents.AI.FoundryMemory.IntegrationTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.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" />
@@ -475,13 +529,13 @@
     <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.FoundryMemory.UnitTests/Microsoft.Agents.AI.FoundryMemory.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" />
@@ -491,4 +545,4 @@
     <Project Path="tests/Microsoft.Agents.AI.Workflows.Generators.UnitTests/Microsoft.Agents.AI.Workflows.Generators.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.UnitTests/Microsoft.Agents.AI.Workflows.UnitTests.csproj" />
   </Folder>
-</Solution>
+</Solution>

dotnet/agent-framework-release.slnf

@@ -14,6 +14,7 @@
       "src\\Microsoft.Agents.AI.Declarative\\Microsoft.Agents.AI.Declarative.csproj",
       "src\\Microsoft.Agents.AI.DevUI\\Microsoft.Agents.AI.DevUI.csproj",
       "src\\Microsoft.Agents.AI.DurableTask\\Microsoft.Agents.AI.DurableTask.csproj",
+      "src\\Microsoft.Agents.AI.FoundryMemory\\Microsoft.Agents.AI.FoundryMemory.csproj",
       "src\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj",
       "src\\Microsoft.Agents.AI.Hosting.A2A\\Microsoft.Agents.AI.Hosting.A2A.csproj",
       "src\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj",

dotnet/eng/MSBuild/Shared.props

@@ -8,6 +8,9 @@
   <ItemGroup Condition="'$(InjectSharedIntegrationTestCode)' == 'true'">
     <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\IntegrationTests\*.cs" LinkBase="Shared\IntegrationTests" />
   </ItemGroup>
+  <ItemGroup Condition="'$(InjectSharedIntegrationTestAzureCredentialsCode)' == 'true'">
+    <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\IntegrationTestsAzureCredentials\*.cs" LinkBase="Shared\IntegrationTestsAzureCredentials" />
+  </ItemGroup>
   <ItemGroup Condition="'$(InjectSharedBuildTestCode)' == 'true'">
     <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\CodeTests\*.cs" LinkBase="Shared\CodeTests" />
   </ItemGroup>
@@ -26,4 +29,7 @@
   <ItemGroup Condition="'$(InjectSharedDiagnosticIds)' == 'true'">
     <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\DiagnosticIds\*.cs" LinkBase="Shared\DiagnosticIds" />
   </ItemGroup>
+  <ItemGroup Condition="'$(InjectSharedRedaction)' == 'true'">
+    <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Redaction\*.cs" LinkBase="Shared\Redaction" />
+  </ItemGroup>
 </Project>

dotnet/eng/scripts/New-FilteredSolution.ps1

@@ -0,0 +1,145 @@
+#!/usr/bin/env pwsh
+# Copyright (c) Microsoft. All rights reserved.
+
+<#
+.SYNOPSIS
+    Generates a filtered .slnx solution file by removing projects that don't match the specified criteria.
+
+.DESCRIPTION
+    Parses a .slnx solution file and applies one or more filters:
+    - Removes projects that don't support the specified target framework (via MSBuild query).
+    - Optionally removes all sample projects (under samples/).
+    - Optionally filters test projects by name pattern (e.g., only *UnitTests*).
+    Writes the filtered solution to the specified output path and prints the path.
+
+.PARAMETER Solution
+    Path to the source .slnx solution file.
+
+.PARAMETER TargetFramework
+    The target framework to filter by (e.g., net10.0, net472).
+
+.PARAMETER Configuration
+    Optional MSBuild configuration used when querying TargetFrameworks. Defaults to Debug.
+
+.PARAMETER TestProjectNameFilter
+    Optional wildcard pattern to filter test project names (e.g., *UnitTests*, *IntegrationTests*).
+    When specified, only test projects whose filename matches this pattern are kept.
+
+.PARAMETER ExcludeSamples
+    When specified, removes all projects under the samples/ directory from the solution.
+
+.PARAMETER OutputPath
+    Optional output path for the filtered .slnx file. If not specified, a temp file is created.
+
+.EXAMPLE
+    # Generate a filtered solution and run tests
+    $filtered = ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net472
+    dotnet test --solution $filtered --no-build -f net472
+
+.EXAMPLE
+    # Generate a solution with only unit test projects
+    ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -TestProjectNameFilter "*UnitTests*" -OutputPath filtered-unit.slnx
+
+.EXAMPLE
+    # Inline usage with dotnet test (PowerShell)
+    dotnet test --solution (./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net472) --no-build -f net472
+#>
+
+[CmdletBinding()]
+param(
+    [Parameter(Mandatory)]
+    [string]$Solution,
+
+    [Parameter(Mandatory)]
+    [string]$TargetFramework,
+
+    [string]$Configuration = "Debug",
+
+    [string]$TestProjectNameFilter,
+
+    [switch]$ExcludeSamples,
+
+    [string]$OutputPath
+)
+
+$ErrorActionPreference = "Stop"
+
+# Resolve the solution path
+$solutionPath = Resolve-Path $Solution
+$solutionDir = Split-Path $solutionPath -Parent
+
+if (-not $OutputPath) {
+    $OutputPath = [System.IO.Path]::Combine([System.IO.Path]::GetTempPath(), "filtered-$(Split-Path $solutionPath -Leaf)")
+}
+
+# Parse the .slnx XML
+[xml]$slnx = Get-Content $solutionPath -Raw
+
+$removed = @()
+$kept = @()
+
+# Remove sample projects if requested
+if ($ExcludeSamples) {
+    $sampleProjects = $slnx.SelectNodes("//Project[contains(@Path, 'samples/')]")
+    foreach ($proj in $sampleProjects) {
+        $projRelPath = $proj.GetAttribute("Path")
+        Write-Verbose "Removing (sample): $projRelPath"
+        $removed += $projRelPath
+        $proj.ParentNode.RemoveChild($proj) | Out-Null
+    }
+    Write-Host "Removed $($sampleProjects.Count) sample project(s)." -ForegroundColor Yellow
+}
+
+# Filter all remaining projects by target framework
+$allProjects = $slnx.SelectNodes("//Project")
+
+foreach ($proj in $allProjects) {
+    $projRelPath = $proj.GetAttribute("Path")
+    $projFullPath = Join-Path $solutionDir $projRelPath
+    $projFileName = Split-Path $projRelPath -Leaf
+    $isTestProject = $projRelPath -like "*tests/*"
+
+    # Filter test projects by name pattern if specified
+    if ($isTestProject -and $TestProjectNameFilter -and ($projFileName -notlike $TestProjectNameFilter)) {
+        Write-Verbose "Removing (name filter): $projRelPath"
+        $removed += $projRelPath
+        $proj.ParentNode.RemoveChild($proj) | Out-Null
+        continue
+    }
+
+    if (-not (Test-Path $projFullPath)) {
+        Write-Verbose "Project not found, keeping in solution: $projRelPath"
+        $kept += $projRelPath
+        continue
+    }
+
+    # Query the project's target frameworks using MSBuild
+    $targetFrameworks = & dotnet msbuild $projFullPath -getProperty:TargetFrameworks -p:Configuration=$Configuration -nologo 2>$null
+    $targetFrameworks = $targetFrameworks.Trim()
+
+    if ($targetFrameworks -like "*$TargetFramework*") {
+        Write-Verbose "Keeping: $projRelPath (targets: $targetFrameworks)"
+        $kept += $projRelPath
+    }
+    else {
+        Write-Verbose "Removing: $projRelPath (targets: $targetFrameworks, missing: $TargetFramework)"
+        $removed += $projRelPath
+        $proj.ParentNode.RemoveChild($proj) | Out-Null
+    }
+}
+
+# Write the filtered solution
+$slnx.Save($OutputPath)
+
+# Report results to stderr so stdout is clean for piping
+Write-Host "Filtered solution written to: $OutputPath" -ForegroundColor Green
+if ($removed.Count -gt 0) {
+    Write-Host "Removed $($removed.Count) project(s):" -ForegroundColor Yellow
+    foreach ($r in $removed) {
+        Write-Host "  - $r" -ForegroundColor Yellow
+    }
+}
+Write-Host "Kept $($kept.Count) project(s)." -ForegroundColor Green
+
+# Output the path for piping
+Write-Output $OutputPath

dotnet/global.json

@@ -1,7 +1,10 @@
 {
     "sdk": {
-        "version": "10.0.100",
+        "version": "10.0.200",
         "rollForward": "minor",
         "allowPrerelease": false
+    },
+    "test": {
+        "runner": "Microsoft.Testing.Platform"
     }
 }

dotnet/nuget/nuget-package.props

@@ -2,11 +2,11 @@
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
     <VersionPrefix>1.0.0</VersionPrefix>
-    <RCNumber>2</RCNumber>
+    <RCNumber>4</RCNumber>
     <PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260225.1</PackageVersion>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260225.1</PackageVersion>
-    <GitTag>1.0.0-rc2</GitTag>
+    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260311.1</PackageVersion>
+    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260311.1</PackageVersion>
+    <GitTag>1.0.0-rc4</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/01-get-started/01_hello_agent/01_hello_agent.csproj

@@ -0,0 +1,21 @@
+<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.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/01-get-started/02_add_tools/02_add_tools.csproj

@@ -0,0 +1,21 @@
+<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.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/01-get-started/03_multi_turn/03_multi_turn.csproj

@@ -0,0 +1,21 @@
+<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.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/01-get-started/04_memory/04_memory.csproj

@@ -0,0 +1,21 @@
+<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.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/01-get-started/04_memory/Program.cs

@@ -89,10 +89,10 @@ namespace SampleApp
     internal sealed class UserInfoMemory : AIContextProvider
     {
         private readonly ProviderSessionState<UserInfo> _sessionState;
+        private IReadOnlyList<string>? _stateKeys;
         private readonly IChatClient _chatClient;
 
         public UserInfoMemory(IChatClient chatClient, Func<AgentSession?, UserInfo>? stateInitializer = null)
-            : base(null, null)
         {
             this._sessionState = new ProviderSessionState<UserInfo>(
                 stateInitializer ?? (_ => new UserInfo()),
@@ -100,7 +100,7 @@ namespace SampleApp
             this._chatClient = chatClient;
         }
 
-        public override string StateKey => this._sessionState.StateKey;
+        public override IReadOnlyList<string> StateKeys => this._stateKeys ??= [this._sessionState.StateKey];
 
         public UserInfo GetUserInfo(AgentSession session)
             => this._sessionState.GetOrInitializeState(session);

dotnet/samples/01-get-started/05_first_workflow/05_first_workflow.csproj

@@ -0,0 +1,14 @@
+<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/01-get-started/06_host_your_agent/06_host_your_agent.csproj

@@ -0,0 +1,31 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>HostedAgent</AssemblyName>
+    <RootNamespace>HostedAgent</RootNamespace>
+  </PropertyGroup>
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/01-get-started/06_host_your_agent/Program.cs

@@ -0,0 +1,45 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to host an AI agent with Azure Functions (DurableAgents).
+//
+// Prerequisites:
+//   - Azure Functions Core Tools
+//   - Azure OpenAI resource
+//
+// Environment variables:
+//   AZURE_OPENAI_ENDPOINT
+//   AZURE_OPENAI_DEPLOYMENT_NAME (defaults to "gpt-4o-mini")
+//
+// Run with: func start
+// Then call: POST http://localhost:7071/api/agents/HostedAgent/run
+
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using OpenAI.Chat;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+// Set up an AI agent following the standard Microsoft Agent Framework pattern.
+// 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.
+AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
+    .GetChatClient(deploymentName)
+    .AsAIAgent(
+        instructions: "You are a helpful assistant hosted in Azure Functions.",
+        name: "HostedAgent");
+
+// Configure the function app to host the AI agent.
+// This will automatically generate HTTP API endpoints for the agent.
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options => options.AddAIAgent(agent, timeToLive: TimeSpan.FromHours(1)))
+    .Build();
+app.Run();

dotnet/samples/02-agents/AGUI/Step01_GettingStarted/Server/Program.cs

@@ -4,7 +4,6 @@ using Azure.AI.OpenAI;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
-using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
@@ -27,7 +26,7 @@ ChatClient chatClient = new AzureOpenAIClient(
         new DefaultAzureCredential())
     .GetChatClient(deploymentName);
 
-AIAgent agent = chatClient.AsIChatClient().AsAIAgent(
+AIAgent agent = chatClient.AsAIAgent(
     name: "AGUIAssistant",
     instructions: "You are a helpful assistant.");
 

dotnet/samples/02-agents/AGUI/Step01_GettingStarted/Server/Server.csproj

@@ -10,7 +10,6 @@
   <ItemGroup>
     <PackageReference Include="Azure.AI.OpenAI" />
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/02-agents/AGUI/Step02_BackendTools/Server/Program.cs

@@ -82,7 +82,7 @@ ChatClient chatClient = new AzureOpenAIClient(
         new DefaultAzureCredential())
     .GetChatClient(deploymentName);
 
-ChatClientAgent agent = chatClient.AsIChatClient().AsAIAgent(
+ChatClientAgent agent = chatClient.AsAIAgent(
     name: "AGUIAssistant",
     instructions: "You are a helpful assistant with access to restaurant information.",
     tools: tools);

dotnet/samples/02-agents/AGUI/Step02_BackendTools/Server/Server.csproj

@@ -10,7 +10,6 @@
   <ItemGroup>
     <PackageReference Include="Azure.AI.OpenAI" />
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/02-agents/AGUI/Step03_FrontendTools/Server/Program.cs

@@ -4,7 +4,6 @@ using Azure.AI.OpenAI;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
-using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
@@ -27,7 +26,7 @@ ChatClient chatClient = new AzureOpenAIClient(
         new DefaultAzureCredential())
     .GetChatClient(deploymentName);
 
-AIAgent agent = chatClient.AsIChatClient().AsAIAgent(
+AIAgent agent = chatClient.AsAIAgent(
     name: "AGUIAssistant",
     instructions: "You are a helpful assistant.");
 

dotnet/samples/02-agents/AGUI/Step03_FrontendTools/Server/Server.csproj

@@ -10,7 +10,6 @@
   <ItemGroup>
     <PackageReference Include="Azure.AI.OpenAI" />
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Client/Program.cs

@@ -59,14 +59,14 @@ while ((input = Console.ReadLine()) != null && !input.Equals("exit", StringCompa
             {
                 switch (content)
                 {
-                    case FunctionApprovalRequestContent approvalRequest:
-                        DisplayApprovalRequest(approvalRequest);
+                    case ToolApprovalRequestContent approvalRequest when approvalRequest.ToolCall is FunctionCallContent fcc:
+                        DisplayApprovalRequest(approvalRequest, fcc);
 
-                        Console.Write($"\nApprove '{approvalRequest.FunctionCall.Name}'? (yes/no): ");
+                        Console.Write($"\nApprove '{fcc.Name}'? (yes/no): ");
                         string? userInput = Console.ReadLine();
                         bool approved = userInput?.ToUpperInvariant() is "YES" or "Y";
 
-                        FunctionApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved);
+                        ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved);
 
                         if (approvalRequest.AdditionalProperties != null)
                         {
@@ -128,19 +128,19 @@ while ((input = Console.ReadLine()) != null && !input.Equals("exit", StringCompa
 }
 
 #pragma warning disable MEAI001
-static void DisplayApprovalRequest(FunctionApprovalRequestContent approvalRequest)
+static void DisplayApprovalRequest(ToolApprovalRequestContent approvalRequest, FunctionCallContent fcc)
 {
     Console.ForegroundColor = ConsoleColor.Yellow;
     Console.WriteLine();
     Console.WriteLine("============================================================");
     Console.WriteLine("APPROVAL REQUIRED");
     Console.WriteLine("============================================================");
-    Console.WriteLine($"Function: {approvalRequest.FunctionCall.Name}");
+    Console.WriteLine($"Function: {fcc.Name}");
 
-    if (approvalRequest.FunctionCall.Arguments != null)
+    if (fcc.Arguments != null)
     {
         Console.WriteLine("Arguments:");
-        foreach (var arg in approvalRequest.FunctionCall.Arguments)
+        foreach (var arg in fcc.Arguments)
         {
             Console.WriteLine($"  {arg.Key} = {arg.Value}");
         }

dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Client/ServerFunctionApprovalClientAgent.cs

@@ -9,7 +9,7 @@ using ServerFunctionApproval;
 
 /// <summary>
 /// A delegating agent that handles server function approval requests and responses.
-/// Transforms between FunctionApprovalRequestContent/FunctionApprovalResponseContent
+/// Transforms between ToolApprovalRequestContent/ToolApprovalResponseContent
 /// and the server's request_approval tool call pattern.
 /// </summary>
 internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
@@ -50,14 +50,14 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
     }
 
 #pragma warning disable MEAI001 // Type is for evaluation purposes only
-    private static FunctionResultContent ConvertApprovalResponseToToolResult(FunctionApprovalResponseContent approvalResponse, JsonSerializerOptions jsonOptions)
+    private static FunctionResultContent ConvertApprovalResponseToToolResult(ToolApprovalResponseContent approvalResponse, JsonSerializerOptions jsonOptions)
     {
         return new FunctionResultContent(
-            callId: approvalResponse.Id,
+            callId: approvalResponse.RequestId,
             result: JsonSerializer.SerializeToElement(
                 new ApprovalResponse
                 {
-                    ApprovalId = approvalResponse.Id,
+                    ApprovalId = approvalResponse.RequestId,
                     Approved = approvalResponse.Approved
                 },
                 jsonOptions));
@@ -89,7 +89,7 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
     {
         List<ChatMessage>? result = null;
 
-        Dictionary<string, FunctionApprovalRequestContent> approvalRequests = [];
+        Dictionary<string, ToolApprovalRequestContent> approvalRequests = [];
         for (var messageIndex = 0; messageIndex < messages.Count; messageIndex++)
         {
             var message = messages[messageIndex];
@@ -102,21 +102,21 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
                 var content = message.Contents[contentIndex];
 
                 // Handle pending approval requests (transform to tool call)
-                if (content is FunctionApprovalRequestContent approvalRequest &&
+                if (content is ToolApprovalRequestContent approvalRequest &&
                     approvalRequest.AdditionalProperties?.TryGetValue("original_function", out var originalFunction) == true &&
                     originalFunction is FunctionCallContent original)
                 {
-                    approvalRequests[approvalRequest.Id] = approvalRequest;
+                    approvalRequests[approvalRequest.RequestId] = approvalRequest;
                     transformedContents ??= CopyContentsUpToIndex(message.Contents, contentIndex);
                     transformedContents.Add(original);
                 }
                 // Handle pending approval responses (transform to tool result)
-                else if (content is FunctionApprovalResponseContent approvalResponse &&
-                    approvalRequests.TryGetValue(approvalResponse.Id, out var correspondingRequest))
+                else if (content is ToolApprovalResponseContent approvalResponse &&
+                    approvalRequests.TryGetValue(approvalResponse.RequestId, out var correspondingRequest))
                 {
                     transformedContents ??= CopyContentsUpToIndex(message.Contents, contentIndex);
                     transformedContents.Add(ConvertApprovalResponseToToolResult(approvalResponse, jsonSerializerOptions));
-                    approvalRequests.Remove(approvalResponse.Id);
+                    approvalRequests.Remove(approvalResponse.RequestId);
                     correspondingRequest.AdditionalProperties?.Remove("original_function");
                 }
                 // Skip historical approval content
@@ -198,8 +198,8 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
                 var functionCallArgs = (Dictionary<string, object?>?)approvalRequest.FunctionArguments?
                     .Deserialize(jsonSerializerOptions.GetTypeInfo(typeof(Dictionary<string, object?>)));
 
-                var approvalRequestContent = new FunctionApprovalRequestContent(
-                    id: approvalRequest.ApprovalId,
+                var approvalRequestContent = new ToolApprovalRequestContent(
+                    requestId: approvalRequest.ApprovalId,
                     new FunctionCallContent(
                         callId: approvalRequest.ApprovalId,
                         name: approvalRequest.FunctionName,

dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Server/Program.cs

@@ -60,7 +60,7 @@ ChatClient openAIChatClient = new AzureOpenAIClient(
         new DefaultAzureCredential())
     .GetChatClient(deploymentName);
 
-ChatClientAgent baseAgent = openAIChatClient.AsIChatClient().AsAIAgent(
+ChatClientAgent baseAgent = openAIChatClient.AsAIAgent(
     name: "AGUIAssistant",
     instructions: "You are a helpful assistant in charge of approving expenses",
     tools: tools);

dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Server/Server.csproj

@@ -10,7 +10,6 @@
   <ItemGroup>
     <PackageReference Include="Azure.AI.OpenAI" />
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/02-agents/AGUI/Step04_HumanInLoop/Server/ServerFunctionApprovalServerAgent.cs

@@ -9,7 +9,7 @@ using ServerFunctionApproval;
 
 /// <summary>
 /// A delegating agent that handles function approval requests on the server side.
-/// Transforms between FunctionApprovalRequestContent/FunctionApprovalResponseContent
+/// Transforms between ToolApprovalRequestContent/ToolApprovalResponseContent
 /// and the request_approval tool call pattern for client communication.
 /// </summary>
 internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
@@ -50,7 +50,7 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
     }
 
 #pragma warning disable MEAI001 // Type is for evaluation purposes only
-    private static FunctionApprovalRequestContent ConvertToolCallToApprovalRequest(FunctionCallContent toolCall, JsonSerializerOptions jsonSerializerOptions)
+    private static ToolApprovalRequestContent ConvertToolCallToApprovalRequest(FunctionCallContent toolCall, JsonSerializerOptions jsonSerializerOptions)
     {
         if (toolCall.Name != "request_approval" || toolCall.Arguments == null)
         {
@@ -67,15 +67,15 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
             throw new InvalidOperationException("Failed to deserialize approval request from tool call");
         }
 
-        return new FunctionApprovalRequestContent(
-            id: request.ApprovalId,
+        return new ToolApprovalRequestContent(
+            requestId: request.ApprovalId,
             new FunctionCallContent(
                 callId: request.ApprovalId,
                 name: request.FunctionName,
                 arguments: request.FunctionArguments));
     }
 
-    private static FunctionApprovalResponseContent ConvertToolResultToApprovalResponse(FunctionResultContent result, FunctionApprovalRequestContent approval, JsonSerializerOptions jsonSerializerOptions)
+    private static ToolApprovalResponseContent ConvertToolResultToApprovalResponse(FunctionResultContent result, ToolApprovalRequestContent approval, JsonSerializerOptions jsonSerializerOptions)
     {
         var approvalResponse = result.Result is JsonElement je ?
             (ApprovalResponse?)je.Deserialize(jsonSerializerOptions.GetTypeInfo(typeof(ApprovalResponse))) :
@@ -121,7 +121,7 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
         // Track approval ID to original call ID mapping
         _ = new Dictionary<string, string>();
 #pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
-        Dictionary<string, FunctionApprovalRequestContent> trackedRequestApprovalToolCalls = new(); // Remote approvals
+        Dictionary<string, ToolApprovalRequestContent> trackedRequestApprovalToolCalls = new(); // Remote approvals
         for (int messageIndex = 0; messageIndex < messages.Count; messageIndex++)
         {
             var message = messages[messageIndex];
@@ -181,11 +181,10 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
         {
             var content = update.Contents[i];
 #pragma warning disable MEAI001 // Type is for evaluation purposes only
-            if (content is FunctionApprovalRequestContent request)
+            if (content is ToolApprovalRequestContent request && request.ToolCall is FunctionCallContent functionCall)
             {
                 updatedContents ??= [.. update.Contents];
-                var functionCall = request.FunctionCall;
-                var approvalId = request.Id;
+                var approvalId = request.RequestId;
 
                 var approvalData = new ApprovalRequest
                 {

dotnet/samples/02-agents/AGUI/Step05_StateManagement/Server/Program.cs

@@ -4,7 +4,6 @@ using Azure.AI.OpenAI;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
-using Microsoft.Extensions.AI;
 using Microsoft.Extensions.Options;
 using OpenAI.Chat;
 using RecipeAssistant;
@@ -37,7 +36,7 @@ ChatClient chatClient = new AzureOpenAIClient(
         new DefaultAzureCredential())
     .GetChatClient(deploymentName);
 
-AIAgent baseAgent = chatClient.AsIChatClient().AsAIAgent(
+AIAgent baseAgent = chatClient.AsAIAgent(
     name: "RecipeAgent",
     instructions: """
         You are a helpful recipe assistant. When users ask you to create or suggest a recipe,

dotnet/samples/02-agents/AGUI/Step05_StateManagement/Server/Server.csproj

@@ -0,0 +1,20 @@
+<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.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>