Address copilot comments

.github/.linkspector.yml

@@ -2,7 +2,6 @@ dirs:
   - .
 excludedFiles:
   - ./python/CHANGELOG.md
-  - "**/SKILL.md"
 ignorePatterns:
   - pattern: "/github/"
   - pattern: "./actions"
@@ -27,7 +26,7 @@ ignorePatterns:
   - pattern: "https:\/\/dotnet.microsoft.com"
   - pattern: "https://github.com/Rel1cx/eslint-react"
 # excludedDirs:
-# Folders which include links to localhost, since it's not ignored with regular expressions
+  # Folders which include links to localhost, since it's not ignored with regular expressions
 baseUrl: https://github.com/microsoft/agent-framework/
 aliveStatusCodes:
   - 200

.github/CODEOWNERS

@@ -1,5 +1,7 @@
 # Code ownership assignments
 # https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
 
+python/packages/azurefunctions/ @microsoft/agentframework-durabletask-developers
+python/packages/durabletask/ @microsoft/agentframework-durabletask-developers
 python/samples/getting_started/azure_functions/ @microsoft/agentframework-durabletask-developers
 python/samples/getting_started/durabletask/ @microsoft/agentframework-durabletask-developers

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

@@ -0,0 +1,48 @@
+name: Azure Functions Integration Test Setup
+description: Prepare local emulators and tools for Azure Functions integration tests
+
+runs:
+    using: "composite"
+    steps:
+      - name: Start Durable Task Scheduler Emulator
+        shell: bash
+        run: |
+          if [ "$(docker ps -aq -f name=dts-emulator)" ]; then
+            echo "Stopping and removing existing Durable Task Scheduler Emulator"
+            docker rm -f dts-emulator
+          fi
+          echo "Starting Durable Task Scheduler Emulator"
+          docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 -e DTS_USE_DYNAMIC_TASK_HUBS=true mcr.microsoft.com/dts/dts-emulator:latest
+          echo "Waiting for Durable Task Scheduler Emulator to be ready"
+          timeout 30 bash -c 'until curl --silent http://localhost:8080/healthz; do sleep 1; done'
+          echo "Durable Task Scheduler Emulator is ready"
+      - name: Start Azurite (Azure Storage emulator)
+        shell: bash
+        run: |
+          if [ "$(docker ps -aq -f name=azurite)" ]; then
+            echo "Stopping and removing existing Azurite (Azure Storage emulator)"
+            docker rm -f azurite
+          fi
+          echo "Starting Azurite (Azure Storage emulator)"
+          docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite
+          echo "Waiting for Azurite (Azure Storage emulator) to be ready"
+          timeout 30 bash -c 'until curl --silent http://localhost:10000/devstoreaccount1; do sleep 1; done'
+          echo "Azurite (Azure Storage emulator) is ready"
+      - name: Start Redis
+        shell: bash
+        run: |
+          if [ "$(docker ps -aq -f name=redis)" ]; then
+            echo "Stopping and removing existing Redis"
+            docker rm -f redis
+          fi
+          echo "Starting Redis"
+          docker run -d --name redis -p 6379:6379 redis:latest
+          echo "Waiting for Redis to be ready"
+          timeout 30 bash -c 'until docker exec redis redis-cli ping | grep -q PONG; do sleep 1; done'
+          echo "Redis is ready"
+      - name: Install Azure Functions Core Tools
+        shell: bash
+        run: |
+          echo "Installing Azure Functions Core Tools"
+          npm install -g azure-functions-core-tools@4 --unsafe-perm true
+          func --version

.github/actions/github-app-token/action.yml

@@ -1,112 +0,0 @@
-name: Get GitHub automation token
-description: Creates a GitHub App installation token with a temporary PAT fallback
-
-inputs:
-  mode:
-    description: Authentication mode (app, app-with-fallback, or pat)
-    required: false
-    default: app-with-fallback
-  azure-client-id:
-    description: Client ID of the Azure workload identity
-    required: false
-  azure-tenant-id:
-    description: Azure tenant ID
-    required: false
-  azure-subscription-id:
-    description: Azure subscription containing the Key Vault
-    required: false
-  key-vault-name:
-    description: Azure Key Vault name
-    required: false
-  key-name:
-    description: Key Vault key used to sign the GitHub App JWT
-    required: false
-  github-app-client-id:
-    description: GitHub App client ID
-    required: false
-  github-app-installation-id:
-    description: GitHub App installation ID
-    required: false
-  repository:
-    description: Repository to include in the installation token
-    required: false
-  fallback-token:
-    description: PAT used temporarily when app authentication is unavailable
-    required: false
-
-outputs:
-  token:
-    description: GitHub App installation token or fallback PAT
-    value: ${{ steps.select-token.outputs.token }}
-  source:
-    description: Selected authentication source
-    value: ${{ steps.select-token.outputs.source }}
-
-runs:
-  using: composite
-  steps:
-    - name: Validate authentication mode
-      shell: bash
-      env:
-        AUTH_MODE: ${{ inputs.mode || 'app-with-fallback' }}
-      run: |
-        if [[ "$AUTH_MODE" != "app" && "$AUTH_MODE" != "app-with-fallback" && "$AUTH_MODE" != "pat" ]]; then
-          echo "::error::Unsupported GitHub authentication mode."
-          exit 1
-        fi
-
-    - name: Sign in to Azure
-      id: azure-login
-      if: ${{ (inputs.mode || 'app-with-fallback') != 'pat' }}
-      continue-on-error: true
-      uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
-      with:
-        client-id: ${{ inputs.azure-client-id }}
-        tenant-id: ${{ inputs.azure-tenant-id }}
-        subscription-id: ${{ inputs.azure-subscription-id }}
-
-    - name: Create GitHub App installation token
-      id: app-token
-      if: ${{ (inputs.mode || 'app-with-fallback') != 'pat' && steps.azure-login.outcome == 'success' }}
-      continue-on-error: true
-      shell: bash
-      env:
-        AZURE_SUBSCRIPTION_ID: ${{ inputs.azure-subscription-id }}
-        KEY_VAULT_NAME: ${{ inputs.key-vault-name }}
-        KEY_NAME: ${{ inputs.key-name }}
-        GITHUB_APP_CLIENT_ID: ${{ inputs.github-app-client-id }}
-        GITHUB_APP_INSTALLATION_ID: ${{ inputs.github-app-installation-id }}
-        TARGET_REPOSITORY: ${{ inputs.repository }}
-      run: |
-        token="$(node "$GITHUB_ACTION_PATH/create-token.js")"
-        echo "::add-mask::$token"
-        echo "token=$token" >> "$GITHUB_OUTPUT"
-
-    - name: Select authentication token
-      id: select-token
-      shell: bash
-      env:
-        AUTH_MODE: ${{ inputs.mode || 'app-with-fallback' }}
-        APP_TOKEN: ${{ steps.app-token.outputs.token }}
-        FALLBACK_TOKEN: ${{ inputs.fallback-token }}
-      run: |
-        if [[ "$AUTH_MODE" != "pat" && -n "$APP_TOKEN" ]]; then
-          token="$APP_TOKEN"
-          source="app"
-          echo "::notice::GitHub authentication source: app"
-        elif [[ "$AUTH_MODE" == "app-with-fallback" && -n "$FALLBACK_TOKEN" ]]; then
-          token="$FALLBACK_TOKEN"
-          source="pat-fallback"
-          echo "::warning::GitHub authentication source: PAT fallback"
-        elif [[ "$AUTH_MODE" == "pat" && -n "$FALLBACK_TOKEN" ]]; then
-          token="$FALLBACK_TOKEN"
-          source="pat-forced"
-          echo "::warning::GitHub authentication source: PAT (forced rollout mode)"
-        else
-          echo "::error::GitHub App authentication is unavailable and no fallback PAT was provided."
-          exit 1
-        fi
-
-        echo "::add-mask::$token"
-        echo "token=$token" >> "$GITHUB_OUTPUT"
-        echo "source=$source" >> "$GITHUB_OUTPUT"

.github/actions/github-app-token/create-token.js

@@ -1,133 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-const crypto = require('node:crypto');
-const { execFileSync } = require('node:child_process');
-
-function base64Url(value) {
-  return Buffer.from(value).toString('base64url');
-}
-
-function base64ToBase64Url(value) {
-  return Buffer.from(value, 'base64').toString('base64url');
-}
-
-function createJwtSigningInput(clientId, nowSeconds) {
-  const header = base64Url(JSON.stringify({ alg: 'RS256', typ: 'JWT' }));
-  const payload = base64Url(JSON.stringify({
-    iat: nowSeconds - 60,
-    exp: nowSeconds + 540,
-    iss: clientId,
-  }));
-  return `${header}.${payload}`;
-}
-
-function signJwt(signingInput, config, execute = execFileSync) {
-  const digest = crypto.createHash('sha256').update(signingInput).digest('base64');
-  const signature = execute(
-    'az',
-    [
-      'keyvault', 'key', 'sign',
-      '--subscription', config.azureSubscriptionId,
-      '--vault-name', config.keyVaultName,
-      '--name', config.keyName,
-      '--algorithm', 'RS256',
-      '--digest', digest,
-      '--query', 'signature',
-      '--output', 'tsv',
-      '--only-show-errors',
-    ],
-    { encoding: 'utf8' },
-  ).trim();
-
-  if (!signature) {
-    throw new Error('Key Vault returned an empty signature.');
-  }
-
-  return `${signingInput}.${base64ToBase64Url(signature)}`;
-}
-
-async function createInstallationToken(config, dependencies = {}) {
-  const execute = dependencies.execute ?? execFileSync;
-  const request = dependencies.fetch ?? fetch;
-  const nowSeconds = dependencies.nowSeconds ?? Math.floor(Date.now() / 1000);
-  const repositoryParts = config.targetRepository.split('/');
-
-  if (repositoryParts.length !== 2 || repositoryParts.some((part) => part.length === 0)) {
-    throw new Error('TARGET_REPOSITORY must use the owner/repository format.');
-  }
-
-  const [, repository] = repositoryParts;
-  const signingInput = createJwtSigningInput(config.githubAppClientId, nowSeconds);
-  const jwt = signJwt(signingInput, config, execute);
-
-  const response = await request(
-    `https://api.github.com/app/installations/${config.githubAppInstallationId}/access_tokens`,
-    {
-      method: 'POST',
-      headers: {
-        Accept: 'application/vnd.github+json',
-        Authorization: `Bearer ${jwt}`,
-        'X-GitHub-Api-Version': '2022-11-28',
-      },
-      body: JSON.stringify({
-        repositories: [repository],
-        permissions: {
-          contents: 'read',
-          issues: 'write',
-          members: 'read',
-          pull_requests: 'write',
-        },
-      }),
-    },
-  );
-
-  if (!response.ok) {
-    throw new Error(`GitHub installation token request failed with HTTP ${response.status}.`);
-  }
-
-  const result = await response.json();
-  if (typeof result.token !== 'string' || result.token.length === 0) {
-    throw new Error('GitHub returned an empty installation token.');
-  }
-
-  return result.token;
-}
-
-function readConfig(environment) {
-  const config = {
-    azureSubscriptionId: environment.AZURE_SUBSCRIPTION_ID,
-    keyVaultName: environment.KEY_VAULT_NAME,
-    keyName: environment.KEY_NAME,
-    githubAppClientId: environment.GITHUB_APP_CLIENT_ID,
-    githubAppInstallationId: environment.GITHUB_APP_INSTALLATION_ID,
-    targetRepository: environment.TARGET_REPOSITORY,
-  };
-
-  if (Object.values(config).some((value) => !value)) {
-    throw new Error('Required GitHub App authentication configuration is missing.');
-  }
-
-  return config;
-}
-
-async function main() {
-  try {
-    const token = await createInstallationToken(readConfig(process.env));
-    process.stdout.write(token);
-  } catch {
-    console.error('GitHub App token generation failed.');
-    process.exitCode = 1;
-  }
-}
-
-if (require.main === module) {
-  void main();
-}
-
-module.exports = {
-  base64ToBase64Url,
-  createInstallationToken,
-  createJwtSigningInput,
-  readConfig,
-  signJwt,
-};

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

@@ -17,7 +17,7 @@ runs:
     using: "composite"
     steps:
       - name: Set up uv
-        uses: astral-sh/setup-uv@c771a70e6277c0a99b617c7a806ffedaca235ff9 # v9.0.0
+        uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
         with:
             version-file: "python/pyproject.toml"
             enable-cache: true

.github/actions/sample-validation-save-playbooks/action.yml

@@ -1,19 +0,0 @@
-name: Save Sample Playbooks
-description: >
-  Save the cached sample-validation playbooks. Split out from
-  sample-validation-setup (which only restores) so the save runs even when the
-  validation step fails. Combining restore+save via actions/cache would skip the
-  save on a failing job (post-if: success()), so freshly authored playbooks for
-  samples that failed validation would never persist. Invoke this with
-  'if: not-cancelled' after the validation step in each job.
-
-runs:
-  using: "composite"
-  steps:
-    - name: Save sample playbooks cache
-      uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-      with:
-        # Must match the restore path/key in sample-validation-setup/action.yml and the
-        # sample_validation --playbooks-dir default (samples/sample_validation/playbooks).
-        path: python/samples/sample_validation/playbooks/
-        key: sample-playbooks-${{ github.job }}-${{ github.run_id }}

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

@@ -36,31 +36,15 @@ runs:
       shell: bash
       run: copilot --version && copilot -p "What can you do in one sentence?"
 
-    - name: Set up python and install the project
-      uses: ./.github/actions/python-setup
-      with:
-        python-version: ${{ inputs.python-version }}
-        os: ${{ inputs.os }}
-
-    - name: Restore sample playbooks
-      # Restore-only. The matching save is a separate step in each job that runs with
-      # `if: ${{ !cancelled() }}` (see .github/actions/sample-validation-save-playbooks).
-      # A combined actions/cache would skip its post-job save on a failing job
-      # (post-if: success()), so playbooks authored for samples that failed validation
-      # would never persist. Keyed per job so each validate-* job keeps its own playbooks.
-      uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-      with:
-        # Must match the sample_validation --playbooks-dir default, which resolves to
-        # samples/sample_validation/playbooks (see python/scripts/sample_validation/__main__.py).
-        # If a job overrides --playbooks-dir, update this path to match.
-        path: python/samples/sample_validation/playbooks/
-        key: sample-playbooks-${{ github.job }}-${{ github.run_id }}
-        restore-keys: |
-          sample-playbooks-${{ github.job }}-
-
     - name: Azure CLI Login
       uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # 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/instructions/durabletask-dotnet.instructions.md

@@ -0,0 +1,17 @@
+---
+applyTo: "dotnet/src/Microsoft.Agents.AI.DurableTask/**,dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/**"
+---
+
+# Durable Task area code instructions
+
+The following guidelines apply to pull requests that modify files under
+`dotnet/src/Microsoft.Agents.AI.DurableTask/**` or
+`dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/**`:
+
+## CHANGELOG.md
+
+- Each pull request that modifies code should add just one bulleted entry to the `CHANGELOG.md` file containing a change title (usually the PR title) and a link to the PR itself.
+- New PRs should be added to the top of the `CHANGELOG.md` file under a "## [Unreleased]" heading.
+- If the PR is the first since the last release, the existing "## [Unreleased]" heading should be replaced with a "## v[X.Y.Z]" heading and the PRs since the last release should be added to the new "## [Unreleased]" heading.
+- The style of new `CHANGELOG.md` entries should match the style of the other entries in the file.
+- If the PR introduces a breaking change, the changelog entry should be prefixed with "[BREAKING]".

.github/scripts/check_team_membership.js

@@ -1,40 +1,25 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 /**
- * Resolve the issue or pull request author and check their team membership.
+ * Resolve the issue author and check their team membership.
  *
  * @param {object} opts
  * @param {object} opts.github - Octokit REST client from actions/github-script
  * @param {object} opts.context - GitHub Actions context
  * @param {object} opts.core - GitHub Actions core toolkit
  * @param {string} opts.teamSlug - Team slug to check membership against
- * @param {string|number} opts.issueNumber - Issue or pull request number to resolve author for
- * @param {string} [opts.username] - Explicit user to check instead of the issue or pull request author
+ * @param {string|number} opts.issueNumber - Issue number to resolve author for
  * @returns {Promise<{author: string|null, isTeamMember: boolean}>}
  */
-async function checkTeamMembership({ github, context, core, teamSlug, issueNumber, username = '' }) {
-  let author = username.trim() || (
-    context.payload.issue?.user?.login ??
-    context.payload.pull_request?.user?.login
-  );
-
+async function checkTeamMembership({ github, context, core, teamSlug, issueNumber }) {
+  let author = context.payload.issue?.user?.login;
   if (!author) {
-    const number = Number(issueNumber);
-    if (context.payload.pull_request) {
-      const { data: pr } = await github.rest.pulls.get({
-        owner: context.repo.owner,
-        repo: context.repo.repo,
-        pull_number: number,
-      });
-      author = pr.user?.login;
-    } else {
-      const { data: issue } = await github.rest.issues.get({
-        owner: context.repo.owner,
-        repo: context.repo.repo,
-        issue_number: number,
-      });
-      author = issue.user?.login;
-    }
+    const { data: issue } = await github.rest.issues.get({
+      owner: context.repo.owner,
+      repo: context.repo.repo,
+      issue_number: Number(issueNumber),
+    });
+    author = issue.user?.login;
   }
 
   if (!author) {

.github/scripts/python_check_coverage.py

@@ -1,212 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-"""Enforce Python package coverage according to package lifecycle."""
-
-# ruff:file-ignore[print]
-# ruff:file-ignore[implicit-namespace-package]
-
-from __future__ import annotations
-
-import re
-import sys
-import xml.etree.ElementTree as ET  # ruff:ignore[suspicious-xml-etree-import]
-from dataclasses import dataclass
-from pathlib import Path
-
-import tomllib
-
-DEVELOPMENT_STATUS_PREFIX = "Development Status :: "
-ENFORCED_DEVELOPMENT_STATUS = 4
-EXEMPT_PACKAGES = {"devui", "lab"}
-
-
-@dataclass(frozen=True)
-class PackagePolicy:
-    """Coverage policy derived from a package's project metadata."""
-
-    directory: str
-    distribution_name: str
-    development_status: int
-    development_status_label: str
-    enforced: bool
-    exempt: bool
-
-
-@dataclass
-class CoverageStats:
-    """Line and branch coverage counters."""
-
-    lines_valid: int = 0
-    lines_covered: int = 0
-    branches_valid: int = 0
-    branches_covered: int = 0
-
-    @property
-    def line_coverage_percent(self) -> float:
-        """Return line coverage as a percentage."""
-        if not self.lines_valid:
-            return 0
-        return self.lines_covered / self.lines_valid * 100
-
-
-def normalize_coverage_path(path: str) -> str:
-    """Normalize a coverage path for matching."""
-    return path.replace("\\", "/").lstrip("./")
-
-
-def load_package_policies(packages_dir: Path) -> list[PackagePolicy]:
-    """Load lifecycle-based coverage policies from package pyproject files."""
-    policies: list[PackagePolicy] = []
-    for pyproject_path in sorted(packages_dir.glob("*/pyproject.toml")):
-        with pyproject_path.open("rb") as pyproject_file:
-            pyproject = tomllib.load(pyproject_file)
-
-        project = pyproject.get("project", {})
-        distribution_name = str(project.get("name", "")).strip()
-        if not distribution_name:
-            raise ValueError(f"{pyproject_path}: project.name is required")
-
-        status_classifiers = [
-            classifier
-            for classifier in project.get("classifiers", [])
-            if classifier.startswith(DEVELOPMENT_STATUS_PREFIX)
-        ]
-        if len(status_classifiers) != 1:
-            raise ValueError(
-                f"{pyproject_path}: expected exactly one Development Status classifier, found {len(status_classifiers)}"
-            )
-
-        match = re.fullmatch(r"Development Status :: (\d+) - (.+)", status_classifiers[0])
-        if match is None:
-            raise ValueError(f"{pyproject_path}: malformed Development Status classifier")
-
-        directory = pyproject_path.parent.name
-        development_status = int(match.group(1))
-        exempt = directory in EXEMPT_PACKAGES
-        policies.append(
-            PackagePolicy(
-                directory=directory,
-                distribution_name=distribution_name,
-                development_status=development_status,
-                development_status_label=match.group(2),
-                enforced=development_status >= ENFORCED_DEVELOPMENT_STATUS and not exempt,
-                exempt=exempt,
-            )
-        )
-
-    if not policies:
-        raise ValueError(f"No package pyproject.toml files found below {packages_dir}")
-    return policies
-
-
-def parse_coverage_xml(xml_path: Path) -> tuple[dict[str, CoverageStats], float, float]:
-    """Parse Cobertura XML and aggregate coverage by package directory."""
-    root = ET.parse(xml_path).getroot()  # ruff:ignore[suspicious-xml-element-tree-usage]  # Trusted CI-generated coverage report.
-    package_stats: dict[str, CoverageStats] = {}
-
-    for class_elem in root.findall(".//class"):
-        file_path = normalize_coverage_path(class_elem.get("filename", ""))
-        path_parts = file_path.split("/")
-        try:
-            packages_index = path_parts.index("packages")
-            package_directory = path_parts[packages_index + 1]
-        except (ValueError, IndexError):
-            continue
-
-        stats = package_stats.setdefault(package_directory, CoverageStats())
-        for line in class_elem.findall(".//line"):
-            stats.lines_valid += 1
-            if int(line.get("hits", 0)) > 0:
-                stats.lines_covered += 1
-
-            if line.get("branch") != "true":
-                continue
-            condition_coverage = line.get("condition-coverage", "")
-            match = re.search(r"\((\d+)/(\d+)\)", condition_coverage)
-            if match is not None:
-                stats.branches_covered += int(match.group(1))
-                stats.branches_valid += int(match.group(2))
-
-    return (
-        package_stats,
-        float(root.get("line-rate", 0)) * 100,
-        float(root.get("branch-rate", 0)) * 100,
-    )
-
-
-def check_coverage(xml_path: Path, threshold: float, packages_dir: Path) -> bool:
-    """Check all lifecycle-enforced packages against the coverage threshold."""
-    policies = load_package_policies(packages_dir)
-    package_stats, overall_line_coverage, overall_branch_coverage = parse_coverage_xml(xml_path)
-
-    print("\n" + "=" * 110)
-    print("PYTHON PACKAGE TEST COVERAGE")
-    print("=" * 110)
-    print(f"Overall Line Coverage:   {overall_line_coverage:.1f}%")
-    print(f"Overall Branch Coverage: {overall_branch_coverage:.1f}%")
-    print(f"Enforced Threshold:      {threshold:.1f}%")
-    print("-" * 110)
-    print(f"{'Package':<48} {'Stage':<20} {'Policy':<14} {'Lines':<12} {'Line Cov':<10}")
-    print("-" * 110)
-
-    failed_packages: list[str] = []
-    for policy in sorted(policies, key=lambda item: (not item.enforced, item.distribution_name)):
-        stats = package_stats.get(policy.directory)
-        if policy.exempt:
-            policy_label = "EXEMPT"
-        elif policy.enforced:
-            policy_label = "ENFORCED"
-        else:
-            policy_label = "REPORT ONLY"
-
-        if stats is None:
-            lines = "-"
-            coverage = "missing"
-            if policy.enforced:
-                failed_packages.append(f"{policy.distribution_name} (missing from coverage report)")
-        else:
-            lines = f"{stats.lines_covered}/{stats.lines_valid}"
-            coverage = f"{stats.line_coverage_percent:.1f}%"
-            if policy.enforced and stats.line_coverage_percent < threshold:
-                failed_packages.append(f"{policy.distribution_name} ({coverage})")
-
-        stage = f"{policy.development_status} - {policy.development_status_label}"
-        print(f"{policy.distribution_name:<48} {stage:<20} {policy_label:<14} {lines:<12} {coverage:<10}")
-
-    print("-" * 110)
-    if failed_packages:
-        print(f"\nFAILED: Enforced packages below {threshold:.1f}% or missing:")
-        for package in failed_packages:
-            print(f"  - {package}")
-        return False
-
-    print(f"\nPASSED: All non-exempt Beta-or-higher packages meet {threshold:.1f}% line coverage.")
-    return True
-
-
-def main() -> int:
-    """Run the coverage policy check."""
-    if len(sys.argv) != 3:
-        print(f"Usage: {sys.argv[0]} <coverage-xml-path> <threshold>")
-        return 1
-
-    try:
-        threshold = float(sys.argv[2])
-    except ValueError:
-        print(f"Error: Invalid threshold value: {sys.argv[2]}")
-        return 1
-
-    repository_root = Path(__file__).resolve().parents[2]
-    try:
-        passed = check_coverage(
-            Path(sys.argv[1]),
-            threshold,
-            repository_root / "python" / "packages",
-        )
-    except (FileNotFoundError, ET.ParseError, ValueError) as error:
-        print(f"Error: {error}")
-        return 1
-    return 0 if passed else 1
-
-
-if __name__ == "__main__":
-    sys.exit(main())

.github/scripts/resolve_integration_test_target.js

@@ -1,170 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-const DECISIVE_REVIEW_STATES = new Set(['APPROVED', 'CHANGES_REQUESTED', 'DISMISSED']);
-const SHA_PATTERN = /^[0-9a-f]{40}$/;
-const BRANCH_PATTERN = /^[a-zA-Z0-9_./-]+$/;
-
-function assertValidSha(sha, description) {
-  if (!SHA_PATTERN.test(sha)) {
-    throw new Error(`GitHub returned an invalid ${description} SHA.`);
-  }
-}
-
-function hasWritePermission(permissionData) {
-  return permissionData.user?.permissions?.push === true
-    || ['admin', 'maintain', 'write'].includes(permissionData.permission);
-}
-
-function latestDecisiveReviews(reviews) {
-  const latestByReviewer = new Map();
-  const sortedReviews = [...reviews].sort((left, right) => {
-    const submittedComparison = (left.submitted_at || '').localeCompare(right.submitted_at || '');
-    return submittedComparison || Number(left.id) - Number(right.id);
-  });
-
-  for (const review of sortedReviews) {
-    const state = review.state?.toUpperCase();
-    const reviewer = review.user?.login?.toLowerCase();
-    if (reviewer && DECISIVE_REVIEW_STATES.has(state)) {
-      latestByReviewer.set(reviewer, review);
-    }
-  }
-
-  return latestByReviewer;
-}
-
-async function resolvePullRequest({ github, context, core, prNumber, requiredApprovals }) {
-  if (!/^[0-9]+$/.test(prNumber)) {
-    throw new Error('Invalid PR number. Only numeric values are allowed.');
-  }
-
-  const pullNumber = Number(prNumber);
-  const { data: pullRequest } = await github.rest.pulls.get({
-    ...context.repo,
-    pull_number: pullNumber,
-  });
-
-  if (pullRequest.state !== 'open') {
-    throw new Error(`PR #${pullNumber} is not open (state: ${pullRequest.state}).`);
-  }
-
-  const headSha = pullRequest.head.sha;
-  const baseSha = pullRequest.base.sha;
-  assertValidSha(headSha, 'PR head');
-  assertValidSha(baseSha, 'PR base');
-
-  const reviews = await github.paginate(github.rest.pulls.listReviews, {
-    ...context.repo,
-    pull_number: pullNumber,
-    per_page: 100,
-  });
-  const latestReviews = latestDecisiveReviews(reviews);
-  const author = pullRequest.user?.login?.toLowerCase();
-  const approvalCandidates = [...latestReviews.entries()]
-    .filter(([, review]) => review.state.toUpperCase() === 'APPROVED')
-    .filter(([, review]) => review.commit_id === headSha)
-    .filter(([reviewer]) => reviewer !== author);
-
-  const approvedMaintainers = [];
-  for (const [reviewer] of approvalCandidates) {
-    const { data: permissionData } = await github.rest.repos.getCollaboratorPermissionLevel({
-      ...context.repo,
-      username: reviewer,
-    });
-    if (hasWritePermission(permissionData)) {
-      approvedMaintainers.push(reviewer);
-    } else {
-      core.info(`Ignoring approval from ${reviewer}: reviewer does not have write permission.`);
-    }
-  }
-
-  if (approvedMaintainers.length < requiredApprovals) {
-    throw new Error(
-      `PR #${pullNumber} head ${headSha} requires ${requiredApprovals} approvals from unique `
-      + `write-capable maintainers; found ${approvedMaintainers.length}.`,
-    );
-  }
-
-  core.info(
-    `PR #${pullNumber} head ${headSha} approved by: ${approvedMaintainers.join(', ')}.`,
-  );
-  return {
-    baseRef: baseSha,
-    checkoutRef: headSha,
-    description: `PR #${pullNumber}`,
-  };
-}
-
-async function resolveBranch({ github, context, core, branch }) {
-  if (!BRANCH_PATTERN.test(branch)) {
-    throw new Error(
-      'Invalid branch name. Only alphanumeric characters, hyphens, underscores, dots, and slashes '
-      + 'are allowed.',
-    );
-  }
-
-  const [{ data: repository }, { data: targetBranch }] = await Promise.all([
-    github.rest.repos.get(context.repo),
-    github.rest.repos.getBranch({ ...context.repo, branch }),
-  ]);
-  const { data: baseBranch } = await github.rest.repos.getBranch({
-    ...context.repo,
-    branch: repository.default_branch,
-  });
-
-  const checkoutRef = targetBranch.commit.sha;
-  const baseRef = baseBranch.commit.sha;
-  assertValidSha(checkoutRef, 'branch head');
-  assertValidSha(baseRef, 'default branch');
-  core.info(`Branch ${branch} resolved to immutable commit ${checkoutRef}.`);
-
-  return {
-    baseRef,
-    checkoutRef,
-    description: `branch ${branch}`,
-  };
-}
-
-/**
- * Resolve a manually requested integration-test target to an immutable commit.
- *
- * Pull requests must have fresh approvals from two unique write-capable
- * maintainers for the exact head commit. Branches are limited to branches in
- * the base repository and are pinned to their current commit.
- */
-async function resolveIntegrationTestTarget({
-  github,
-  context,
-  core,
-  prNumber = '',
-  branch = '',
-  requiredApprovals = 2,
-}) {
-  const normalizedPrNumber = prNumber.trim();
-  const normalizedBranch = branch.trim();
-
-  if (normalizedPrNumber && normalizedBranch) {
-    throw new Error('Please provide either a PR number or a branch name, not both.');
-  }
-  if (!normalizedPrNumber && !normalizedBranch) {
-    throw new Error('Please provide either a PR number or a branch name.');
-  }
-
-  if (normalizedPrNumber) {
-    return resolvePullRequest({
-      github,
-      context,
-      core,
-      prNumber: normalizedPrNumber,
-      requiredApprovals,
-    });
-  }
-  return resolveBranch({
-    github,
-    context,
-    core,
-    branch: normalizedBranch,
-  });
-}
-
-module.exports = resolveIntegrationTestTarget;

.github/tests/test_check_team_membership.js

@@ -16,12 +16,7 @@ const checkTeamMembership = require('../scripts/check_team_membership.js');
 // Helpers
 // ---------------------------------------------------------------------------
 
-function createMocks({
-  payloadIssue = undefined,
-  payloadPullRequest = undefined,
-  apiUser = 'api-user',
-  teamState = 'active',
-} = {}) {
+function createMocks({ payloadIssue = undefined, apiUser = 'api-user', teamState = 'active' } = {}) {
   const core = {
     _infoMessages: [],
     _failedMessages: [],
@@ -29,16 +24,8 @@ function createMocks({
     setFailed(msg) { this._failedMessages.push(msg); },
   };
 
-  const payload = {};
-  if (payloadIssue !== undefined) {
-    payload.issue = payloadIssue;
-  }
-  if (payloadPullRequest !== undefined) {
-    payload.pull_request = payloadPullRequest;
-  }
-
   const context = {
-    payload,
+    payload: { issue: payloadIssue },
     repo: { owner: 'test-org', repo: 'test-repo' },
   };
 
@@ -49,11 +36,6 @@ function createMocks({
           data: { user: apiUser ? { login: apiUser } : null },
         }),
       },
-      pulls: {
-        get: async () => ({
-          data: { user: apiUser ? { login: apiUser } : null },
-        }),
-      },
       teams: {
         getByName: async () => ({}),
         getMembershipForUserInOrg: async () => ({
@@ -74,28 +56,6 @@ const BASE_OPTS = { teamSlug: 'my-team', issueNumber: '123' };
 // ---------------------------------------------------------------------------
 
 describe('author resolution', () => {
-  it('uses an explicit username instead of the issue author', async () => {
-    const { github, context, core } = createMocks({
-      payloadIssue: { user: { login: 'issue-author' } },
-    });
-    let issuesGetCalled = false;
-    github.rest.issues.get = async () => {
-      issuesGetCalled = true;
-      return { data: { user: { login: 'api-user' } } };
-    };
-
-    const result = await checkTeamMembership({
-      github,
-      context,
-      core,
-      ...BASE_OPTS,
-      username: 'comment-author',
-    });
-
-    assert.equal(result.author, 'comment-author');
-    assert.equal(issuesGetCalled, false);
-  });
-
   it('resolves author from event payload', async () => {
     const { github, context, core } = createMocks({
       payloadIssue: { user: { login: 'payload-user' } },
@@ -104,37 +64,6 @@ describe('author resolution', () => {
     assert.equal(result.author, 'payload-user');
   });
 
-  it('resolves author from pull_request event payload', async () => {
-    const { github, context, core } = createMocks({
-      payloadPullRequest: { user: { login: 'pr-author' } },
-    });
-    let issuesGetCalled = false;
-    github.rest.issues.get = async () => {
-      issuesGetCalled = true;
-      return { data: { user: { login: 'api-user' } } };
-    };
-
-    const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
-    assert.equal(result.author, 'pr-author');
-    assert.equal(issuesGetCalled, false);
-  });
-
-  it('resolves author via pulls API when pull_request payload user is null', async () => {
-    const { github, context, core } = createMocks({
-      payloadPullRequest: { user: null },
-      apiUser: 'fetched-pr-author',
-    });
-    let pullsGetCalled = false;
-    github.rest.pulls.get = async () => {
-      pullsGetCalled = true;
-      return { data: { user: { login: 'fetched-pr-author' } } };
-    };
-
-    const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
-    assert.equal(result.author, 'fetched-pr-author');
-    assert.equal(pullsGetCalled, true);
-  });
-
   it('resolves author via API when payload issue is absent', async () => {
     const { github, context, core } = createMocks({ apiUser: 'api-user' });
     const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });

.github/tests/test_create_github_app_token.js

@@ -1,125 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-const { describe, it } = require('node:test');
-const assert = require('node:assert/strict');
-
-const {
-  base64ToBase64Url,
-  createInstallationToken,
-  createJwtSigningInput,
-  readConfig,
-} = require('../actions/github-app-token/create-token.js');
-
-const CONFIG = {
-  azureSubscriptionId: 'subscription-id',
-  keyVaultName: 'vault-name',
-  keyName: 'key-name',
-  githubAppClientId: 'client-id',
-  githubAppInstallationId: '12345',
-  targetRepository: 'microsoft/agent-framework',
-};
-
-describe('GitHub App token creation', () => {
-  it('creates a short-lived GitHub App JWT', () => {
-    const signingInput = createJwtSigningInput('client-id', 1_000);
-    const [encodedHeader, encodedPayload] = signingInput.split('.');
-    const header = JSON.parse(Buffer.from(encodedHeader, 'base64url').toString());
-    const payload = JSON.parse(Buffer.from(encodedPayload, 'base64url').toString());
-
-    assert.deepEqual(header, { alg: 'RS256', typ: 'JWT' });
-    assert.deepEqual(payload, { iat: 940, exp: 1_540, iss: 'client-id' });
-  });
-
-  it('converts Key Vault signatures to unpadded base64url', () => {
-    assert.equal(base64ToBase64Url('+/8='), '-_8');
-  });
-
-  it('requests a repository-scoped installation token', async () => {
-    let request;
-    const token = await createInstallationToken(CONFIG, {
-      nowSeconds: 1_000,
-      execute: (command, args) => {
-        assert.equal(command, 'az');
-        assert.ok(args.includes('RS256'));
-        return '+/8=\n';
-      },
-      fetch: async (url, options) => {
-        request = { url, options };
-        return {
-          ok: true,
-          json: async () => ({ token: 'installation-token' }),
-        };
-      },
-    });
-
-    assert.equal(token, 'installation-token');
-    assert.equal(request.url, 'https://api.github.com/app/installations/12345/access_tokens');
-    assert.match(request.options.headers.Authorization, /^Bearer [^.]+\.[^.]+\.-_8$/);
-    assert.deepEqual(JSON.parse(request.options.body), {
-      repositories: ['agent-framework'],
-      permissions: {
-        contents: 'read',
-        issues: 'write',
-        members: 'read',
-        pull_requests: 'write',
-      },
-    });
-  });
-
-  it('rejects incomplete configuration', () => {
-    assert.throws(
-      () => readConfig({}),
-      /Required GitHub App authentication configuration is missing/,
-    );
-  });
-
-  it('rejects repository values with extra path segments before signing', async () => {
-    let signed = false;
-
-    await assert.rejects(
-      createInstallationToken(
-        { ...CONFIG, targetRepository: 'microsoft/agent-framework/extra' },
-        {
-          execute: () => {
-            signed = true;
-            return '+/8=\n';
-          },
-        },
-      ),
-      /TARGET_REPOSITORY must use the owner\/repository format/,
-    );
-    assert.equal(signed, false);
-  });
-
-  it('rejects an empty Key Vault signature', async () => {
-    await assert.rejects(
-      createInstallationToken(CONFIG, {
-        execute: () => '\n',
-      }),
-      /Key Vault returned an empty signature/,
-    );
-  });
-
-  it('rejects a failed GitHub token request', async () => {
-    await assert.rejects(
-      createInstallationToken(CONFIG, {
-        execute: () => '+/8=\n',
-        fetch: async () => ({ ok: false, status: 403 }),
-      }),
-      /GitHub installation token request failed with HTTP 403/,
-    );
-  });
-
-  it('rejects an empty GitHub installation token', async () => {
-    await assert.rejects(
-      createInstallationToken(CONFIG, {
-        execute: () => '+/8=\n',
-        fetch: async () => ({
-          ok: true,
-          json: async () => ({ token: '' }),
-        }),
-      }),
-      /GitHub returned an empty installation token/,
-    );
-  });
-});

.github/tests/test_python_check_coverage.py

@@ -1,134 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-# ruff:file-ignore[implicit-namespace-package, undocumented-public-class, undocumented-public-method]
-
-from __future__ import annotations
-
-import importlib.util
-import sys
-import tempfile
-import unittest
-from pathlib import Path
-
-SCRIPT_PATH = Path(__file__).parents[1] / "scripts" / "python_check_coverage.py"
-SPEC = importlib.util.spec_from_file_location("python_check_coverage", SCRIPT_PATH)
-if SPEC is None or SPEC.loader is None:
-    raise RuntimeError(f"Unable to load {SCRIPT_PATH}")
-coverage_checker = importlib.util.module_from_spec(SPEC)
-sys.modules[SPEC.name] = coverage_checker
-SPEC.loader.exec_module(coverage_checker)
-
-
-class CoveragePolicyTests(unittest.TestCase):
-    def setUp(self) -> None:
-        self.temp_dir = tempfile.TemporaryDirectory()
-        self.root = Path(self.temp_dir.name)
-        self.packages_dir = self.root / "packages"
-        self.packages_dir.mkdir()
-
-    def tearDown(self) -> None:
-        self.temp_dir.cleanup()
-
-    def write_package(self, directory: str, name: str, status: str) -> None:
-        package_dir = self.packages_dir / directory
-        package_dir.mkdir()
-        (package_dir / "pyproject.toml").write_text(
-            f"""
-[project]
-name = "{name}"
-classifiers = ["Development Status :: {status}"]
-""".strip()
-        )
-
-    def write_coverage(self, files: dict[str, list[int]]) -> Path:
-        classes = []
-        total_lines = 0
-        covered_lines = 0
-        for file_path, hits in files.items():
-            lines = []
-            for line_number, hit_count in enumerate(hits, start=1):
-                total_lines += 1
-                covered_lines += hit_count > 0
-                lines.append(f'<line number="{line_number}" hits="{hit_count}"/>')
-            classes.append(f'<class filename="{file_path}"><lines>{"".join(lines)}</lines></class>')
-
-        line_rate = covered_lines / total_lines if total_lines else 0
-        xml_path = self.root / "coverage.xml"
-        xml_path.write_text(
-            f"""
-<coverage line-rate="{line_rate}" branch-rate="0">
-  <packages>
-    <package name="test">
-      <classes>{"".join(classes)}</classes>
-    </package>
-  </packages>
-</coverage>
-""".strip()
-        )
-        return xml_path
-
-    def test_load_package_policies_uses_lifecycle_exemptions(self) -> None:
-        self.write_package("alpha", "agent-framework-alpha", "3 - Alpha")
-        self.write_package("beta", "agent-framework-beta", "4 - Beta")
-        self.write_package("stable", "agent-framework-stable", "5 - Production/Stable")
-        self.write_package("devui", "agent-framework-devui", "4 - Beta")
-        self.write_package("lab", "agent-framework-lab", "4 - Beta")
-
-        policies = {policy.directory: policy for policy in coverage_checker.load_package_policies(self.packages_dir)}
-
-        self.assertFalse(policies["alpha"].enforced)
-        self.assertTrue(policies["beta"].enforced)
-        self.assertTrue(policies["stable"].enforced)
-        self.assertTrue(policies["devui"].exempt)
-        self.assertFalse(policies["devui"].enforced)
-        self.assertTrue(policies["lab"].exempt)
-        self.assertFalse(policies["lab"].enforced)
-
-    def test_load_package_policies_rejects_missing_lifecycle(self) -> None:
-        package_dir = self.packages_dir / "missing"
-        package_dir.mkdir()
-        (package_dir / "pyproject.toml").write_text('[project]\nname = "agent-framework-missing"\n')
-
-        with self.assertRaisesRegex(ValueError, "exactly one Development Status"):
-            coverage_checker.load_package_policies(self.packages_dir)
-
-    def test_parse_coverage_aggregates_nested_modules_by_distribution(self) -> None:
-        xml_path = self.write_coverage({
-            "packages/core/agent_framework/_agents.py": [1, 0],
-            "packages/core/agent_framework/_workflows/_workflow.py": [1, 1],
-        })
-
-        package_stats, _, _ = coverage_checker.parse_coverage_xml(xml_path)
-
-        self.assertEqual(package_stats["core"].lines_valid, 4)
-        self.assertEqual(package_stats["core"].lines_covered, 3)
-
-    def test_beta_package_below_threshold_fails(self) -> None:
-        self.write_package("beta", "agent-framework-beta", "4 - Beta")
-        xml_path = self.write_coverage({"packages/beta/agent_framework_beta/client.py": [1, 0]})
-
-        self.assertFalse(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
-
-    def test_missing_beta_package_fails(self) -> None:
-        self.write_package("beta", "agent-framework-beta", "4 - Beta")
-        xml_path = self.write_coverage({})
-
-        self.assertFalse(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
-
-    def test_alpha_and_exempt_packages_do_not_fail(self) -> None:
-        self.write_package("alpha", "agent-framework-alpha", "3 - Alpha")
-        self.write_package("devui", "agent-framework-devui", "4 - Beta")
-        self.write_package("lab", "agent-framework-lab", "4 - Beta")
-        xml_path = self.write_coverage({})
-
-        self.assertTrue(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
-
-    def test_beta_package_at_threshold_passes(self) -> None:
-        self.write_package("beta", "agent-framework-beta", "4 - Beta")
-        xml_path = self.write_coverage({"packages/beta/agent_framework_beta/client.py": [1] * 17 + [0] * 3})
-
-        self.assertTrue(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
-
-
-if __name__ == "__main__":
-    unittest.main()

.github/tests/test_resolve_integration_test_target.js

@@ -1,212 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-/**
- * Tests for resolve_integration_test_target.js.
- *
- * Run with: node --test .github/tests/test_resolve_integration_test_target.js
- */
-
-const { describe, it } = require('node:test');
-const assert = require('node:assert/strict');
-
-const resolveIntegrationTestTarget = require('../scripts/resolve_integration_test_target.js');
-
-const HEAD_SHA = 'a'.repeat(40);
-const BASE_SHA = 'b'.repeat(40);
-
-function review({
-  id,
-  login,
-  state = 'APPROVED',
-  commitId = HEAD_SHA,
-  submittedAt = `2026-07-13T00:00:${String(id).padStart(2, '0')}Z`,
-}) {
-  return {
-    id,
-    state,
-    commit_id: commitId,
-    submitted_at: submittedAt,
-    user: { login },
-  };
-}
-
-function createMocks({
-  pullState = 'open',
-  pullAuthor = 'contributor',
-  reviews = [],
-  permissions = {},
-} = {}) {
-  const core = {
-    infoMessages: [],
-    info(message) {
-      this.infoMessages.push(message);
-    },
-  };
-  const context = {
-    repo: { owner: 'microsoft', repo: 'agent-framework' },
-  };
-  const github = {
-    paginate: async () => reviews,
-    rest: {
-      pulls: {
-        get: async () => ({
-          data: {
-            state: pullState,
-            user: { login: pullAuthor },
-            head: { sha: HEAD_SHA },
-            base: { sha: BASE_SHA },
-          },
-        }),
-        listReviews: async () => {},
-      },
-      repos: {
-        get: async () => ({ data: { default_branch: 'main' } }),
-        getBranch: async ({ branch }) => ({
-          data: { commit: { sha: branch === 'main' ? BASE_SHA : HEAD_SHA } },
-        }),
-        getCollaboratorPermissionLevel: async ({ username }) => ({
-          data: permissions[username] || {
-            permission: 'read',
-            user: { permissions: { push: false } },
-          },
-        }),
-      },
-    },
-  };
-
-  return { core, context, github };
-}
-
-const WRITE_PERMISSION = {
-  permission: 'write',
-  user: { permissions: { push: true } },
-};
-
-describe('input validation', () => {
-  it('rejects missing and conflicting targets', async () => {
-    const mocks = createMocks();
-    await assert.rejects(
-      () => resolveIntegrationTestTarget(mocks),
-      /provide either a PR number or a branch name/,
-    );
-    await assert.rejects(
-      () => resolveIntegrationTestTarget({ ...mocks, prNumber: '1', branch: 'feature' }),
-      /not both/,
-    );
-  });
-
-  it('rejects invalid PR numbers and branch names', async () => {
-    const mocks = createMocks();
-    await assert.rejects(
-      () => resolveIntegrationTestTarget({ ...mocks, prNumber: '1;echo' }),
-      /Invalid PR number/,
-    );
-    await assert.rejects(
-      () => resolveIntegrationTestTarget({ ...mocks, branch: 'feature branch' }),
-      /Invalid branch name/,
-    );
-  });
-});
-
-describe('pull request resolution', () => {
-  it('pins an open PR with two fresh write-capable approvals', async () => {
-    const mocks = createMocks({
-      reviews: [
-        review({ id: 1, login: 'maintainer-one' }),
-        review({ id: 2, login: 'maintainer-two' }),
-      ],
-      permissions: {
-        'maintainer-one': WRITE_PERMISSION,
-        'maintainer-two': WRITE_PERMISSION,
-      },
-    });
-
-    const result = await resolveIntegrationTestTarget({ ...mocks, prNumber: '123' });
-
-    assert.deepEqual(result, {
-      baseRef: BASE_SHA,
-      checkoutRef: HEAD_SHA,
-      description: 'PR #123',
-    });
-  });
-
-  it('rejects closed PRs', async () => {
-    const mocks = createMocks({ pullState: 'closed' });
-    await assert.rejects(
-      () => resolveIntegrationTestTarget({ ...mocks, prNumber: '123' }),
-      /is not open/,
-    );
-  });
-
-  it('ignores stale, self, and read-only approvals', async () => {
-    const mocks = createMocks({
-      reviews: [
-        review({ id: 1, login: 'stale', commitId: 'c'.repeat(40) }),
-        review({ id: 2, login: 'contributor' }),
-        review({ id: 3, login: 'reader' }),
-        review({ id: 4, login: 'maintainer' }),
-      ],
-      permissions: {
-        contributor: WRITE_PERMISSION,
-        reader: { permission: 'read', user: { permissions: { push: false } } },
-        maintainer: WRITE_PERMISSION,
-      },
-    });
-
-    await assert.rejects(
-      () => resolveIntegrationTestTarget({ ...mocks, prNumber: '123' }),
-      /found 1/,
-    );
-  });
-
-  it('uses each reviewer latest decisive review and ignores later comments', async () => {
-    const mocks = createMocks({
-      reviews: [
-        review({ id: 1, login: 'changes-requested' }),
-        review({ id: 2, login: 'changes-requested', state: 'CHANGES_REQUESTED' }),
-        review({ id: 3, login: 'maintainer-one' }),
-        review({ id: 4, login: 'maintainer-one', state: 'COMMENTED' }),
-        review({ id: 5, login: 'maintainer-two' }),
-      ],
-      permissions: {
-        'changes-requested': WRITE_PERMISSION,
-        'maintainer-one': WRITE_PERMISSION,
-        'maintainer-two': WRITE_PERMISSION,
-      },
-    });
-
-    const result = await resolveIntegrationTestTarget({ ...mocks, prNumber: '123' });
-    assert.equal(result.checkoutRef, HEAD_SHA);
-  });
-
-  it('does not count a dismissed approval', async () => {
-    const mocks = createMocks({
-      reviews: [
-        review({ id: 1, login: 'dismissed', state: 'DISMISSED' }),
-        review({ id: 2, login: 'maintainer' }),
-      ],
-      permissions: {
-        dismissed: WRITE_PERMISSION,
-        maintainer: WRITE_PERMISSION,
-      },
-    });
-
-    await assert.rejects(
-      () => resolveIntegrationTestTarget({ ...mocks, prNumber: '123' }),
-      /found 1/,
-    );
-  });
-});
-
-describe('branch resolution', () => {
-  it('pins base-repository branches and their comparison base to SHAs', async () => {
-    const mocks = createMocks();
-    const result = await resolveIntegrationTestTarget({ ...mocks, branch: 'feature/test' });
-
-    assert.deepEqual(result, {
-      baseRef: BASE_SHA,
-      checkoutRef: HEAD_SHA,
-      description: 'branch feature/test',
-    });
-  });
-});

.github/workflows/codeql-analysis.yml

@@ -32,13 +32,13 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           persist-credentials: false
 
       # Initializes the CodeQL tools for scanning.
       - name: Initialize CodeQL
-        uses: github/codeql-action/init@e4fba868fa4b1b91e1fdab776edc8cfbe6e9fb81 # v4
+        uses: github/codeql-action/init@99df26d4f13ea111d4ec1a7dddef6063f76b97e9 # v4
         with:
           languages: ${{ matrix.language }}
           # If you wish to specify custom queries, you can do so here or in a config file.
@@ -64,6 +64,6 @@ jobs:
       #     ./location_of_script_within_repo/buildscript.sh
 
       - name: Perform CodeQL Analysis
-        uses: github/codeql-action/analyze@e4fba868fa4b1b91e1fdab776edc8cfbe6e9fb81 # v4
+        uses: github/codeql-action/analyze@99df26d4f13ea111d4ec1a7dddef6063f76b97e9 # v4
         with:
           category: "/language:${{matrix.language}}"

.github/workflows/devflow-pr-review.yml

@@ -6,9 +6,6 @@ on:
       - opened
       - reopened
       - ready_for_review
-  issue_comment:
-    types:
-      - created
   workflow_dispatch:
     inputs:
       pr_number:
@@ -18,12 +15,11 @@ on:
 
 permissions:
   contents: read
-  id-token: write
   issues: write
   pull-requests: write
 
 concurrency:
-  group: devflow-pr-review-${{ github.repository }}-${{ github.event.pull_request.number || github.event.issue.number || inputs.pr_number || github.run_id }}
+  group: devflow-pr-review-${{ github.repository }}-${{ github.event.pull_request.number || inputs.pr_number || github.run_id }}
   cancel-in-progress: true
 
 env:
@@ -31,22 +27,10 @@ env:
   DEVFLOW_REF: main
   TARGET_REPO_PATH: ${{ github.workspace }}/target-repo
   DEVFLOW_PATH: ${{ github.workspace }}/devflow
-  MODEL_CONFIG_PATH: ${{ github.workspace }}/devflow/config.ci.yaml
 
 jobs:
   team_check:
-    if: >-
-      github.event_name != 'issue_comment' ||
-      (
-        github.event.issue.pull_request &&
-        github.event.comment.body == '/review' &&
-        (
-          github.event.comment.author_association == 'MEMBER' ||
-          github.event.comment.author_association == 'OWNER'
-        )
-      )
     runs-on: ubuntu-latest
-    environment: github-app-auth
     outputs:
       is_team_member: ${{ steps.check.outputs.is_team_member }}
       pr_number: ${{ steps.pr.outputs.pr_number }}
@@ -58,7 +42,6 @@ jobs:
         shell: bash
         env:
           PR_HTML_URL: ${{ github.event.pull_request.html_url }}
-          PR_NUMBER_COMMENT: ${{ github.event.issue.number }}
           PR_NUMBER_EVENT: ${{ github.event.pull_request.number }}
           PR_NUMBER_INPUT: ${{ inputs.pr_number }}
         run: |
@@ -67,9 +50,6 @@ jobs:
           if [[ "${GITHUB_EVENT_NAME}" == "pull_request_target" ]]; then
             pr_number="${PR_NUMBER_EVENT}"
             pr_url="${PR_HTML_URL}"
-          elif [[ "${GITHUB_EVENT_NAME}" == "issue_comment" ]]; then
-            pr_number="${PR_NUMBER_COMMENT}"
-            pr_url="https://github.com/${GITHUB_REPOSITORY}/pull/${pr_number}"
           else
             pr_number="${PR_NUMBER_INPUT}"
             pr_url="https://github.com/${GITHUB_REPOSITORY}/pull/${pr_number}"
@@ -84,78 +64,49 @@ jobs:
           echo "pr_number=${pr_number}" >> "$GITHUB_OUTPUT"
           echo "repo=${GITHUB_REPOSITORY}" >> "$GITHUB_OUTPUT"
 
-      - name: Checkout GitHub automation
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          ref: ${{ github.event_name == 'pull_request_target' && github.event.pull_request.base.sha || github.sha }}
-          sparse-checkout: |
-            .github/actions/github-app-token
-            .github/scripts/check_team_membership.js
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-
-      - name: Check review requester team membership
+      - name: Check PR author team membership
         id: check
         uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
         env:
-          MEMBERSHIP_USER: ${{ github.event_name == 'issue_comment' && github.event.comment.user.login || '' }}
           TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
           PR_NUMBER: ${{ steps.pr.outputs.pr_number }}
         with:
-          github-token: ${{ steps.github-auth.outputs.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           script: |
-            const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
-            const { author, isTeamMember } = await checkTeamMembership({
-              github,
-              context,
-              core,
-              teamSlug: process.env.TEAM_NAME,
-              issueNumber: process.env.PR_NUMBER,
-              username: process.env.MEMBERSHIP_USER,
-            });
-            core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
-            if (isTeamMember) {
-              core.info(`User ${author} is a team member; proceeding with review.`);
-            } else {
-              core.info(`User ${author} is not a member of ${process.env.TEAM_NAME}; skipping review.`);
+            let author = context.payload.pull_request?.user?.login;
+            if (!author) {
+              const { data: pr } = await github.rest.pulls.get({
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                pull_number: Number(process.env.PR_NUMBER),
+              });
+              author = pr.user.login;
             }
 
-      - name: React to authorized review command
-        if: ${{ github.event_name == 'issue_comment' && steps.check.outputs.is_team_member == 'true' }}
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
-        with:
-          github-token: ${{ steps.github-auth.outputs.token }}
-          script: |
-            await github.rest.reactions.createForIssueComment({
-              ...context.repo,
-              comment_id: context.payload.comment.id,
-              content: 'eyes',
-            });
+            let isTeamMember = false;
+            try {
+              const teamMembership = await github.rest.teams.getMembershipForUserInOrg({
+                org: context.repo.owner,
+                team_slug: process.env.TEAM_NAME,
+                username: author,
+              });
+              isTeamMember = teamMembership.data.state === 'active';
+            } catch (error) {
+              console.log(`Team membership lookup failed for ${author}: ${error.message}`);
+              isTeamMember = false;
+            }
+
+            core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
+            if (isTeamMember) {
+              core.info(`Author ${author} is a team member; proceeding with review.`);
+            } else {
+              core.info(`Author ${author} is not a member of ${process.env.TEAM_NAME}; skipping review.`);
+            }
 
   review:
     runs-on: ubuntu-latest
     needs: team_check
     if: ${{ needs.team_check.outputs.is_team_member == 'true' }}
-    permissions:
-      copilot-requests: write
-      contents: read
-      issues: write
-      pull-requests: write
     timeout-minutes: 60
     # Advisory check: failures here should not block the PR. The reviewer
     # posts comments as a best-effort signal; if the pipeline breaks, the
@@ -165,7 +116,7 @@ jobs:
     steps:
       # Safe checkout: base repo only, not the untrusted PR head.
       - name: Checkout target repo base
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ github.event_name == 'pull_request_target' && github.event.pull_request.base.sha || github.sha }}
           fetch-depth: 0
@@ -174,7 +125,7 @@ jobs:
 
       # Private DevFlow checkout: the PAT/token grants access to this repo's code.
       - name: Checkout DevFlow
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           repository: ${{ env.DEVFLOW_REPOSITORY }}
           ref: ${{ env.DEVFLOW_REF }}
@@ -189,7 +140,7 @@ jobs:
           python-version: "3.13"
 
       - name: Set up uv
-        uses: astral-sh/setup-uv@c771a70e6277c0a99b617c7a806ffedaca235ff9 # v9.0.0
+        uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
         with:
           version: "0.11.x"
           enable-cache: true
@@ -202,8 +153,8 @@ jobs:
         id: review
         working-directory: ${{ env.DEVFLOW_PATH }}
         env:
-          DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
-          GITHUB_TOKEN: ${{ github.token }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GH_COPILOT_TOKEN: ${{ secrets.GH_COPILOT_TOKEN }}
           SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
           AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
           PR_URL: ${{ needs.team_check.outputs.pr_url }}
@@ -211,5 +162,4 @@ jobs:
           uv run python scripts/trigger_pr_review.py \
             --pr-url "$PR_URL" \
             --github-username "$GITHUB_ACTOR" \
-            --review-compare \
             --no-require-comment-selection

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

@@ -38,9 +38,10 @@ jobs:
       dotnetChanges: ${{ steps.filter.outputs.dotnet }}
       cosmosDbChanges: ${{ steps.filter.outputs.cosmosdb }}
       foundryHostingChanges: ${{ steps.filter.outputs.foundryHosting }}
+      functionsChanged: ${{ steps.filter.outputs.functions }}
       coreChanged: ${{ steps.filter.outputs.core }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - uses: dorny/paths-filter@7b450fff21473bca461d4b92ce414b9d0420d706 # v4.0.2
         id: filter
         with:
@@ -65,6 +66,13 @@ jobs:
               - 'dotnet/Directory.Packages.props'
               - 'dotnet/tests/Foundry.Hosting.IntegrationTests/scripts/it-build-image.ps1'
               - '.github/workflows/dotnet-build-and-test.yml'
+            functions:
+              - 'dotnet/src/Microsoft.Agents.AI.DurableTask/**'
+              - 'dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/**'
+              - 'dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/**'
+              - 'dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/**'
+              - '.github/actions/azure-functions-integration-setup/**'
+              - '.github/workflows/dotnet-build-and-test.yml'
             core:
               - 'dotnet/src/Microsoft.Agents.AI/**'
               - 'dotnet/src/Microsoft.Agents.AI.Abstractions/**'
@@ -103,7 +111,7 @@ jobs:
 
     runs-on: ${{ matrix.os }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
             persist-credentials: false
             sparse-checkout: |
@@ -155,7 +163,6 @@ jobs:
           # Change to project directory to ensure local nuget.config is used
           pushd consoleapp
           dotnet add packcheck.csproj package Microsoft.Agents.AI --prerelease
-          dotnet add packcheck.csproj package Microsoft.Agents.AI.LocalCodeAct --prerelease
           dotnet build -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} packcheck.csproj
 
           # Clean up
@@ -177,7 +184,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     environment: ${{ matrix.environment }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
             persist-credentials: false
             sparse-checkout: |
@@ -234,6 +241,7 @@ jobs:
             -OutputPath dotnet/filtered-unit.slnx
           ./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
             -TestProjectNameIncludeFilter "*IntegrationTests*" `
+            -TestProjectNameExcludeFilter "*DurableTask.IntegrationTests*","*AzureFunctions.IntegrationTests*" `
             -OutputPath dotnet/filtered-integration.slnx
 
       - name: Run Unit Tests
@@ -355,7 +363,7 @@ jobs:
     env:
       configuration: Release
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           persist-credentials: false
           sparse-checkout: |
@@ -431,11 +439,113 @@ jobs:
           AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }}
           # IT_HOSTED_AGENT_IMAGE was exported into $GITHUB_ENV by the previous step.
 
+  # DurableTask and AzureFunctions integration tests (ubuntu/net10.0 only).
+  # Split from main dotnet-test job for path-based filtering and parallelism.
+  dotnet-test-functions:
+    needs: [paths-filter]
+    if: >
+      github.event_name != 'pull_request' &&
+      (needs.paths-filter.outputs.functionsChanged == 'true' ||
+       needs.paths-filter.outputs.coreChanged == 'true' ||
+       github.event_name == 'schedule' ||
+       github.event_name == 'workflow_dispatch')
+    runs-on: ubuntu-latest
+    environment: integration
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          persist-credentials: false
+          sparse-checkout: |
+            .
+            .github
+            dotnet
+            python
+            declarative-agents
+
+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
+      - name: Setup dotnet
+        uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
+        with:
+          global-json-file: ${{ github.workspace }}/dotnet/global.json
+
+      - name: Build functions integration test projects
+        shell: bash
+        working-directory: dotnet
+        run: |
+          dotnet build ./tests/Microsoft.Agents.AI.DurableTask.IntegrationTests -c Release -f net10.0 --warnaserror
+          dotnet build ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests -c Release -f net10.0 --warnaserror
+
+      - name: Azure CLI Login
+        uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
+        with:
+          client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+
+      - name: Set up Durable Task and Azure Functions Integration Test Emulators
+        uses: ./.github/actions/azure-functions-integration-setup
+        id: azure-functions-setup
+
+      - name: Run Functions Integration Tests
+        shell: pwsh
+        working-directory: dotnet
+        run: |
+          # Run DurableTask integration tests
+          dotnet test `
+            --project ./tests/Microsoft.Agents.AI.DurableTask.IntegrationTests `
+            -f net10.0 `
+            -c Release `
+            --no-build -v Normal `
+            --report-xunit-trx `
+            --report-junit `
+            --results-directory ../IntegrationTestResults/ `
+            --ignore-exit-code 8 `
+            --filter-not-trait "Category=IntegrationDisabled" `
+            --parallel-algorithm aggressive `
+            --max-threads 2.0x
+
+          # Run AzureFunctions integration tests
+          dotnet test `
+            --project ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests `
+            -f net10.0 `
+            -c Release `
+            --no-build -v Normal `
+            --report-xunit-trx `
+            --report-junit `
+            --results-directory ../IntegrationTestResults/ `
+            --ignore-exit-code 8 `
+            --filter-not-trait "Category=IntegrationDisabled" `
+            --parallel-algorithm aggressive `
+            --max-threads 2.0x
+        env:
+          # OpenAI Models
+          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_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
+          AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
+          AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
+          # Microsoft Foundry
+          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 }}
+
+      - name: Upload functions test results
+        if: always()
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
+        with:
+          name: dotnet-test-results-functions-net10.0-ubuntu-latest
+          path: IntegrationTestResults/**/*.junit
+          if-no-files-found: ignore
+
   # 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, dotnet-test, dotnet-foundry-hosted-it]
+    needs: [dotnet-build, dotnet-test, dotnet-foundry-hosted-it, dotnet-test-functions]
     steps:
       - name: Get Date
         shell: bash
@@ -482,13 +592,13 @@ jobs:
       github.event_name != 'pull_request' &&
       (contains(join(needs.*.result, ','), 'success') ||
        contains(join(needs.*.result, ','), 'failure'))
-    needs: [dotnet-test]
+    needs: [dotnet-test, dotnet-test-functions]
     runs-on: ubuntu-latest
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           persist-credentials: false
           sparse-checkout: |

.github/workflows/dotnet-format.yml

@@ -30,7 +30,7 @@ jobs:
 
     steps:
       - name: Check out code
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
           persist-credentials: false

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

@@ -9,30 +9,16 @@ on:
   workflow_call:
     inputs:
       checkout-ref:
-        description: "Immutable commit SHA to check out"
+        description: "Git ref to checkout (e.g., refs/pull/123/head)"
         required: true
         type: string
-    secrets:
-      AZURE_CLIENT_ID:
-        required: true
-      AZURE_TENANT_ID:
-        required: true
-      AZURE_SUBSCRIPTION_ID:
-        required: true
-      AZUREAI__ENDPOINT:
-        required: true
-      OPENAI__APIKEY:
-        required: true
 
 permissions:
   contents: read
+  id-token: write
 
 jobs:
   dotnet-integration-tests:
-    permissions:
-      copilot-requests: write
-      contents: read
-      id-token: write
     strategy:
       fail-fast: false
       matrix:
@@ -43,7 +29,7 @@ jobs:
     environment: integration
     timeout-minutes: 60
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -83,6 +69,10 @@ jobs:
           tenant-id: ${{ secrets.AZURE_TENANT_ID }}
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
 
+      - name: Set up Durable Task and Azure Functions Integration Test Emulators
+        if: matrix.os == 'ubuntu-latest'
+        uses: ./.github/actions/azure-functions-integration-setup
+
       - name: Run Integration Tests
         shell: bash
         run: |
@@ -98,7 +88,7 @@ jobs:
         env:
           COSMOSDB_ENDPOINT: https://localhost:8081
           COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
-          GITHUB_TOKEN: ${{ github.token }}
+          COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
           OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
           OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
           OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}

.github/workflows/dotnet-verify-samples.yml

@@ -41,7 +41,7 @@ jobs:
     environment: 'integration'
     timeout-minutes: 90
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           persist-credentials: false
           sparse-checkout: |

.github/workflows/github-automation-tests.yml

@@ -1,42 +0,0 @@
-name: GitHub automation tests
-
-on:
-  pull_request:
-    paths:
-      - ".github/actions/**"
-      - ".github/scripts/**"
-      - ".github/tests/**"
-      - ".github/workflows/python-test-coverage.yml"
-      - ".github/workflows/github-automation-tests.yml"
-  push:
-    branches:
-      - main
-    paths:
-      - ".github/actions/**"
-      - ".github/scripts/**"
-      - ".github/tests/**"
-      - ".github/workflows/python-test-coverage.yml"
-      - ".github/workflows/github-automation-tests.yml"
-
-permissions:
-  contents: read
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-
-      - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6
-        with:
-          node-version: "22"
-
-      - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
-        with:
-          python-version: "3.11"
-
-      - name: Run JavaScript tests
-        run: node --test .github/tests/*.js
-
-      - name: Run Python tests
-        run: python .github/tests/test_python_check_coverage.py

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

@@ -3,7 +3,7 @@
 # Go to Actions → "Integration Tests (Manual)" → Run workflow → enter a PR number or branch name.
 #
 # It calls dedicated integration-only workflows (dotnet-integration-tests and python-integration-tests),
-# passing an immutable commit SHA so they check out and test the approved code.
+# passing a ref so they check out and test the correct code.
 # Changed paths are detected here so only the relevant test suites run.
 #
 
@@ -26,6 +26,7 @@ on:
 permissions:
   contents: read
   pull-requests: read
+  id-token: write
 
 concurrency:
   group: integration-tests-manual-${{ github.event.inputs.pr-number || github.event.inputs.branch }}
@@ -37,50 +38,67 @@ jobs:
     runs-on: ubuntu-latest
     outputs:
       checkout-ref: ${{ steps.resolve.outputs.checkout-ref }}
-      base-ref: ${{ steps.resolve.outputs.base-ref }}
       dotnet-changes: ${{ steps.detect-changes.outputs.dotnet }}
       python-changes: ${{ steps.detect-changes.outputs.python }}
     steps:
-      - name: Check out trusted workflow helpers
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          ref: ${{ github.sha }}
-          persist-credentials: false
-          sparse-checkout: .github/scripts
-
-      - name: Resolve and authorize checkout ref
+      - name: Resolve checkout ref
         id: resolve
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          script: |
-            const resolveIntegrationTestTarget = require(
-              './.github/scripts/resolve_integration_test_target.js'
-            );
-            const target = await resolveIntegrationTestTarget({
-              github,
-              context,
-              core,
-              prNumber: process.env.PR_NUMBER,
-              branch: process.env.BRANCH,
-            });
-            core.setOutput('checkout-ref', target.checkoutRef);
-            core.setOutput('base-ref', target.baseRef);
-            core.info(`Running integration tests for ${target.description} at ${target.checkoutRef}.`);
         env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           PR_NUMBER: ${{ github.event.inputs.pr-number }}
           BRANCH: ${{ github.event.inputs.branch }}
+          REPO: ${{ github.repository }}
+        run: |
+          if [ -n "$PR_NUMBER" ] && [ -n "$BRANCH" ]; then
+            echo "::error::Please provide either a PR number or a branch name, not both."
+            exit 1
+          fi
+
+          if [ -z "$PR_NUMBER" ] && [ -z "$BRANCH" ]; then
+            echo "::error::Please provide either a PR number or a branch name."
+            exit 1
+          fi
+
+          if [ -n "$PR_NUMBER" ]; then
+            if ! echo "$PR_NUMBER" | grep -Eq '^[0-9]+$'; then
+              echo "::error::Invalid PR number. Only numeric values are allowed."
+              exit 1
+            fi
+
+            PR_DATA=$(gh pr view "$PR_NUMBER" --repo "$REPO" --json state)
+            PR_STATE=$(echo "$PR_DATA" | jq -r '.state')
+
+            if [ "$PR_STATE" != "OPEN" ]; then
+              echo "::error::PR #$PR_NUMBER is not open (state: $PR_STATE)"
+              exit 1
+            fi
+
+            echo "checkout-ref=refs/pull/$PR_NUMBER/head" >> "$GITHUB_OUTPUT"
+            echo "Running integration tests for PR #$PR_NUMBER"
+          else
+            if ! echo "$BRANCH" | grep -Eq '^[a-zA-Z0-9_./-]+$'; then
+              echo "::error::Invalid branch name. Only alphanumeric characters, hyphens, underscores, dots, and slashes are allowed."
+              exit 1
+            fi
+
+            echo "checkout-ref=$BRANCH" >> "$GITHUB_OUTPUT"
+            echo "Running integration tests for branch $BRANCH"
+          fi
 
       - name: Detect changed paths
         id: detect-changes
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          BASE_REF: ${{ steps.resolve.outputs.base-ref }}
-          CHECKOUT_REF: ${{ steps.resolve.outputs.checkout-ref }}
+          PR_NUMBER: ${{ github.event.inputs.pr-number }}
+          BRANCH: ${{ github.event.inputs.branch }}
           REPO: ${{ github.repository }}
         run: |
-          CHANGED_FILES=$(gh api "repos/$REPO/compare/$BASE_REF...$CHECKOUT_REF" \
-            --jq '.files[].filename')
+          if [ -n "$PR_NUMBER" ]; then
+            CHANGED_FILES=$(gh pr diff "$PR_NUMBER" --repo "$REPO" --name-only)
+          else
+            # For branches, compare against main using the GitHub API
+            CHANGED_FILES=$(gh api "repos/$REPO/compare/main...$BRANCH" --jq '.files[].filename')
+          fi
 
           DOTNET_CHANGES=false
           PYTHON_CHANGES=false
@@ -95,41 +113,22 @@ jobs:
 
           echo "dotnet=$DOTNET_CHANGES" >> "$GITHUB_OUTPUT"
           echo "python=$PYTHON_CHANGES" >> "$GITHUB_OUTPUT"
-          echo "Detected changes; dotnet: $DOTNET_CHANGES, python: $PYTHON_CHANGES"
+          echo "Detected changes — dotnet: $DOTNET_CHANGES, python: $PYTHON_CHANGES"
 
   dotnet-integration-tests:
     name: .NET Integration Tests
     needs: resolve-ref
     if: needs.resolve-ref.outputs.dotnet-changes == 'true'
-    permissions:
-      copilot-requests: write
-      contents: read
-      id-token: write
     uses: ./.github/workflows/dotnet-integration-tests.yml
     with:
       checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
-    secrets:
-      AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
-      AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
-      AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
-      AZUREAI__ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
-      OPENAI__APIKEY: ${{ secrets.OPENAI__APIKEY }}
+    secrets: inherit
 
   python-integration-tests:
     name: Python Integration Tests
     needs: resolve-ref
     if: needs.resolve-ref.outputs.python-changes == 'true'
-    permissions:
-      copilot-requests: write
-      contents: read
-      id-token: write
     uses: ./.github/workflows/python-integration-tests.yml
     with:
       checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
-    secrets:
-      ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
-      AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
-      AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
-      AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
-      FOUNDRY_MODELS_API_KEY: ${{ secrets.FOUNDRY_MODELS_API_KEY }}
-      OPENAI__APIKEY: ${{ secrets.OPENAI__APIKEY }}
+    secrets: inherit

.github/workflows/issue-triage.yml

@@ -29,12 +29,10 @@ env:
   DEVFLOW_REF: main
   TARGET_REPO_PATH: ${{ github.workspace }}/target-repo
   DEVFLOW_PATH: ${{ github.workspace }}/devflow
-  MODEL_CONFIG_PATH: ${{ github.workspace }}/devflow/config.ci.yaml
 
 jobs:
   team_check:
     runs-on: ubuntu-latest
-    environment: github-app-auth
     if: >-
       ${{
         github.event_name == 'workflow_dispatch'
@@ -68,29 +66,12 @@ jobs:
           echo "repo=${GITHUB_REPOSITORY}" >> "$GITHUB_OUTPUT"
 
       - name: Checkout scripts
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
-          sparse-checkout: |
-            .github/actions/github-app-token
-            .github/scripts
+          sparse-checkout: .github/scripts
           fetch-depth: 1
           persist-credentials: false
 
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-
       - name: Check issue author team membership
         if: ${{ github.event_name != 'workflow_dispatch' }}
         id: check
@@ -99,7 +80,7 @@ jobs:
           TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
           ISSUE_NUMBER: ${{ steps.issue.outputs.issue_number }}
         with:
-          github-token: ${{ steps.github-auth.outputs.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           script: |
             const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
             const { author, isTeamMember } = await checkTeamMembership({
@@ -125,17 +106,12 @@ jobs:
         || needs.team_check.outputs.is_team_member == 'false'
       }}
     environment: integration
-    permissions:
-      copilot-requests: write
-      contents: read
-      id-token: write
-      issues: write
     timeout-minutes: 60
 
     steps:
       # Safe checkout: base repo only.
       - name: Checkout target repo base
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
           persist-credentials: false
@@ -143,7 +119,7 @@ jobs:
 
       # Private DevFlow (maf-dashboard) checkout.
       - name: Checkout DevFlow
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           repository: ${{ env.DEVFLOW_REPOSITORY }}
           ref: ${{ env.DEVFLOW_REF }}
@@ -158,7 +134,7 @@ jobs:
           python-version: "3.13"
 
       - name: Set up uv
-        uses: astral-sh/setup-uv@c771a70e6277c0a99b617c7a806ffedaca235ff9 # v9.0.0
+        uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
         with:
           version: "0.11.x"
           enable-cache: true
@@ -178,7 +154,7 @@ jobs:
         id: spam
         working-directory: ${{ env.DEVFLOW_PATH }}
         env:
-          GITHUB_TOKEN: ${{ github.token }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
           SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
           AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
@@ -203,7 +179,8 @@ jobs:
         id: repro
         working-directory: ${{ env.DEVFLOW_PATH }}
         env:
-          GITHUB_TOKEN: ${{ github.token }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GH_COPILOT_TOKEN: ${{ secrets.GH_COPILOT_TOKEN }}
           # Not seen by the agent prompt; used only to push a paper-trail
           # branch back to maf-dashboard at run end.
           DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}

.github/workflows/label-issues.yml

@@ -10,39 +10,12 @@ jobs:
     name: "Issue: add labels"
     if: ${{ github.event.action == 'opened' || github.event.action == 'reopened' }}
     runs-on: ubuntu-latest
-    environment: github-app-auth
     permissions:
-      contents: read
-      id-token: write
       issues: write
     steps:
-      - name: Checkout GitHub automation
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          sparse-checkout: |
-            .github/actions/github-app-token
-            .github/scripts/check_team_membership.js
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-
       - uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
         with:
-          github-token: ${{ steps.github-auth.outputs.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           script: |
             // Get the issue body and title
             const body = context.payload.issue.body
@@ -51,14 +24,21 @@ jobs:
             // Define the labels array
             let labels = []
 
-            const checkTeamMembership = require('./.github/scripts/check_team_membership.js')
-            const { isTeamMember } = await checkTeamMembership({
-              github,
-              context,
-              core,
-              teamSlug: process.env.TEAM_NAME,
-              issueNumber: context.issue.number,
-            })
+            // Check if the issue author is in the agentframework-developers team
+            let isTeamMember = false
+            try {
+              const teamMembership = await github.rest.teams.getMembershipForUserInOrg({
+                org: context.repo.owner,
+                team_slug: process.env.TEAM_NAME,
+                username: context.payload.issue.user.login
+              })
+              console.log("Team Membership Data:", teamMembership);
+              isTeamMember = teamMembership.data.state === 'active'
+            } catch (error) {
+              // User is not in the team or team doesn't exist
+              console.error("Error fetching team membership:", error);
+              isTeamMember = false
+            }
 
             // Only add triage label if the author is not in the team
             if (!isTeamMember) {

.github/workflows/label-pr.yml

@@ -13,47 +13,27 @@ on:
 jobs:
   add_label:
     runs-on: ubuntu-latest
-    environment: github-app-auth
     permissions:
       contents: read
-      id-token: write
       issues: write
       pull-requests: write
 
     steps:
-      - name: Checkout scripts
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          ref: ${{ github.event.pull_request.base.sha }}
-          sparse-checkout: |
-            .github/actions/github-app-token
-            .github/scripts
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-
       - uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6
         with:
-          repo-token: ${{ steps.github-auth.outputs.token }}
+          repo-token: "${{ secrets.GH_ACTIONS_PR_WRITE }}"
+
+      - name: Checkout scripts
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          sparse-checkout: .github/scripts
+          fetch-depth: 1
+          persist-credentials: false
 
       - name: "PR: add breaking change label from title"
         uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
         with:
-          github-token: ${{ steps.github-auth.outputs.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           script: |
             const { syncBreakingChangeLabelFromTitle } = require('./.github/scripts/title_prefix.js');
             await syncBreakingChangeLabelFromTitle({ github, context, core });

.github/workflows/label-title-prefix.yml

@@ -16,7 +16,7 @@ jobs:
 
     steps:
       - name: Checkout scripts
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           sparse-checkout: .github/scripts
           fetch-depth: 1

.github/workflows/limit-community-prs.yml

@@ -6,7 +6,6 @@ on:
 
 permissions:
   contents: read
-  id-token: write
   issues: write
   pull-requests: write
 
@@ -22,35 +21,16 @@ env:
 jobs:
   team_check:
     runs-on: ubuntu-latest
-    environment: github-app-auth
     outputs:
       is_team_member: ${{ steps.check.outputs.is_team_member }}
     steps:
       - name: Checkout scripts
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
-          ref: ${{ github.event.pull_request.base.sha }}
-          sparse-checkout: |
-            .github/actions/github-app-token
-            .github/scripts
+          sparse-checkout: .github/scripts
           fetch-depth: 1
           persist-credentials: false
 
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-
       - name: Check PR author team membership
         id: check
         uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
@@ -58,7 +38,7 @@ jobs:
           TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
           PR_NUMBER: ${{ github.event.pull_request.number }}
         with:
-          github-token: ${{ steps.github-auth.outputs.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           script: |
             const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
             const { author, isTeamMember } = await checkTeamMembership({
@@ -77,39 +57,20 @@ jobs:
 
   limit_open_prs:
     runs-on: ubuntu-latest
-    environment: github-app-auth
     needs: team_check
     if: ${{ needs.team_check.outputs.is_team_member == 'false' }}
     steps:
       - name: Checkout scripts
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
-          ref: ${{ github.event.pull_request.base.sha }}
-          sparse-checkout: |
-            .github/actions/github-app-token
-            .github/scripts
+          sparse-checkout: .github/scripts
           fetch-depth: 1
           persist-credentials: false
 
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-
       - name: Enforce open PR limit
         uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
         with:
-          github-token: ${{ steps.github-auth.outputs.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           script: |
             const { enforcePrLimit } = require('./.github/scripts/pr_limit_moderation.js');
             await enforcePrLimit({

.github/workflows/markdown-link-check.yml

@@ -19,7 +19,7 @@ jobs:
     runs-on: ubuntu-22.04
     # check out the latest version of the code
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           persist-credentials: false
 

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

@@ -0,0 +1,382 @@
+#!/usr/bin/env python3
+# Copyright (c) Microsoft. All rights reserved.
+"""Check Python test coverage against threshold for enforced targets.
+
+This script parses a Cobertura XML coverage report and enforces a minimum
+coverage threshold on specific targets. Targets can be package names
+(e.g., "packages.core.agent_framework") or individual Python file paths
+(e.g., "packages/core/agent_framework/observability.py").
+
+Non-enforced targets are reported for visibility but don't block the build.
+
+Usage:
+    python python-check-coverage.py <coverage-xml-path> <threshold>
+
+Example:
+    python python-check-coverage.py python-coverage.xml 85
+"""
+
+import sys
+import xml.etree.ElementTree as ET
+from dataclasses import dataclass
+
+# =============================================================================
+# ENFORCED TARGETS CONFIGURATION
+# =============================================================================
+# Add or remove entries from this set to control which targets must meet
+# the coverage threshold. Only these targets will fail the build if below
+# threshold. Other targets are reported for visibility only.
+#
+# Target values can be:
+# - Package paths as they appear in the coverage report
+#   (e.g., "packages.azure-ai.agent_framework_azure_ai")
+# - Python source file paths as they appear in the coverage report
+#   (e.g., "packages/core/agent_framework/observability.py")
+# =============================================================================
+ENFORCED_TARGETS: set[str] = {
+    # Packages (sorted alphabetically)
+    "packages.anthropic.agent_framework_anthropic",
+    "packages.azure-ai-search.agent_framework_azure_ai_search",
+    "packages.core.agent_framework",
+    "packages.core.agent_framework._workflows",
+    "packages.foundry.agent_framework_foundry",
+    "packages.openai.agent_framework_openai",
+    "packages.purview.agent_framework_purview",
+    # 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
+}
+
+
+@dataclass
+class PackageCoverage:
+    """Coverage data for a single package."""
+
+    name: str
+    line_rate: float
+    branch_rate: float
+    lines_valid: int
+    lines_covered: int
+    branches_valid: int
+    branches_covered: int
+
+    @property
+    def line_coverage_percent(self) -> float:
+        """Return line coverage as a percentage."""
+        return self.line_rate * 100
+
+    @property
+    def branch_coverage_percent(self) -> float:
+        """Return branch coverage as a percentage."""
+        return self.branch_rate * 100
+
+
+def normalize_coverage_path(path: str) -> str:
+    """Normalize coverage paths for reliable matching."""
+    return path.replace("\\", "/").lstrip("./")
+
+
+def parse_coverage_xml(
+    xml_path: str,
+) -> tuple[dict[str, PackageCoverage], dict[str, PackageCoverage], float, float]:
+    """Parse Cobertura XML and extract per-package coverage data.
+
+    Args:
+        xml_path: Path to the Cobertura XML coverage report.
+
+    Returns:
+        A tuple of (packages_dict, files_dict, overall_line_rate, overall_branch_rate).
+    """
+    tree = ET.parse(xml_path)
+    root = tree.getroot()
+
+    # Get overall coverage from root element
+    overall_line_rate = float(root.get("line-rate", 0))
+    overall_branch_rate = float(root.get("branch-rate", 0))
+
+    packages: dict[str, PackageCoverage] = {}
+    file_stats: dict[str, dict[str, int]] = {}
+
+    for package in root.findall(".//package"):
+        package_path = package.get("name", "unknown")
+
+        line_rate = float(package.get("line-rate", 0))
+        branch_rate = float(package.get("branch-rate", 0))
+
+        # Count lines and branches from classes within this package
+        lines_valid = 0
+        lines_covered = 0
+        branches_valid = 0
+        branches_covered = 0
+
+        for class_elem in package.findall(".//class"):
+            file_path = normalize_coverage_path(class_elem.get("filename", ""))
+            if file_path and file_path not in file_stats:
+                file_stats[file_path] = {
+                    "lines_valid": 0,
+                    "lines_covered": 0,
+                    "branches_valid": 0,
+                    "branches_covered": 0,
+                }
+
+            for line in class_elem.findall(".//line"):
+                lines_valid += 1
+                if int(line.get("hits", 0)) > 0:
+                    lines_covered += 1
+
+                if file_path:
+                    file_stats[file_path]["lines_valid"] += 1
+                    if int(line.get("hits", 0)) > 0:
+                        file_stats[file_path]["lines_covered"] += 1
+
+                # Branch coverage from line elements
+                if line.get("branch") == "true":
+                    condition_coverage = line.get("condition-coverage", "")
+                    if condition_coverage:
+                        # Parse "X% (covered/total)" format
+                        try:
+                            coverage_parts = (
+                                condition_coverage.split("(")[1].rstrip(")").split("/")
+                            )
+                            branches_covered += int(coverage_parts[0])
+                            branches_valid += int(coverage_parts[1])
+                            if file_path:
+                                file_stats[file_path]["branches_covered"] += int(
+                                    coverage_parts[0]
+                                )
+                                file_stats[file_path]["branches_valid"] += int(
+                                    coverage_parts[1]
+                                )
+                        except (IndexError, ValueError):
+                            # Ignore malformed condition-coverage strings; treat this line as having no branch data.
+                            pass
+
+        # Use full package path as the key (no aggregation)
+        packages[package_path] = PackageCoverage(
+            name=package_path,
+            line_rate=line_rate if lines_valid == 0 else lines_covered / lines_valid,
+            branch_rate=branch_rate
+            if branches_valid == 0
+            else branches_covered / branches_valid,
+            lines_valid=lines_valid,
+            lines_covered=lines_covered,
+            branches_valid=branches_valid,
+            branches_covered=branches_covered,
+        )
+
+    files: dict[str, PackageCoverage] = {}
+    for file_path, stats in file_stats.items():
+        lines_valid = stats["lines_valid"]
+        lines_covered = stats["lines_covered"]
+        branches_valid = stats["branches_valid"]
+        branches_covered = stats["branches_covered"]
+
+        files[file_path] = PackageCoverage(
+            name=file_path,
+            line_rate=0 if lines_valid == 0 else lines_covered / lines_valid,
+            branch_rate=0 if branches_valid == 0 else branches_covered / branches_valid,
+            lines_valid=lines_valid,
+            lines_covered=lines_covered,
+            branches_valid=branches_valid,
+            branches_covered=branches_covered,
+        )
+
+    return packages, files, overall_line_rate, overall_branch_rate
+
+
+def format_coverage_value(coverage: float, threshold: float, is_enforced: bool) -> str:
+    """Format a coverage value with optional pass/fail indicator.
+
+    Args:
+        coverage: Coverage percentage (0-100).
+        threshold: Minimum required coverage percentage.
+        is_enforced: Whether this target is enforced.
+
+    Returns:
+        Formatted string like "85.5%" or "85.5% ✅" or "75.0% ❌".
+    """
+    formatted = f"{coverage:.1f}%"
+    if is_enforced:
+        icon = "✅" if coverage >= threshold else "❌"
+        formatted = f"{formatted} {icon}"
+    return formatted
+
+
+def print_coverage_table(
+    packages: dict[str, PackageCoverage],
+    files: dict[str, PackageCoverage],
+    threshold: float,
+    overall_line_rate: float,
+    overall_branch_rate: float,
+) -> None:
+    """Print a formatted coverage summary table.
+
+    Args:
+        packages: Dictionary of package name to coverage data.
+        files: Dictionary of file path to coverage data, used for per-file enforcement.
+        threshold: Minimum required coverage percentage.
+        overall_line_rate: Overall line coverage rate (0-1).
+        overall_branch_rate: Overall branch coverage rate (0-1).
+    """
+    print("\n" + "=" * 80)
+    print("PYTHON TEST COVERAGE REPORT")
+    print("=" * 80)
+
+    # Overall coverage
+    print(f"\nOverall Line Coverage:   {overall_line_rate * 100:.1f}%")
+    print(f"Overall Branch Coverage: {overall_branch_rate * 100:.1f}%")
+    print(f"Threshold:               {threshold}%")
+
+    enforced_targets = {normalize_coverage_path(t) for t in ENFORCED_TARGETS}
+
+    # Package table
+    print("\n" + "-" * 110)
+    print(f"{'Package':<80} {'Lines':<15} {'Line Cov':<15}")
+    print("-" * 110)
+
+    # Sort: enforced package targets first, then alphabetically
+    sorted_packages = sorted(
+        packages.values(),
+        key=lambda p: (p.name not in ENFORCED_TARGETS, p.name),
+    )
+
+    for pkg in sorted_packages:
+        is_enforced = normalize_coverage_path(pkg.name) in enforced_targets
+        enforced_marker = "[ENFORCED] " if is_enforced else ""
+        line_cov = format_coverage_value(
+            pkg.line_coverage_percent, threshold, is_enforced
+        )
+        lines_info = f"{pkg.lines_covered}/{pkg.lines_valid}"
+        package_label = f"{enforced_marker}{pkg.name}"
+
+        print(f"{package_label:<80} {lines_info:<15} {line_cov:<15}")
+
+    print("-" * 110)
+
+    # Enforced file/model entries (if configured)
+    enforced_files = [
+        files[target]
+        for target in sorted(enforced_targets)
+        if target in files and target.endswith(".py")
+    ]
+
+    if enforced_files:
+        print("\nEnforced Files/Models")
+        print("-" * 110)
+        print(f"{'File':<80} {'Lines':<15} {'Line Cov':<15}")
+        print("-" * 110)
+
+        for file_cov in enforced_files:
+            line_cov = format_coverage_value(
+                file_cov.line_coverage_percent, threshold, True
+            )
+            lines_info = f"{file_cov.lines_covered}/{file_cov.lines_valid}"
+            print(f"[ENFORCED] {file_cov.name:<69} {lines_info:<15} {line_cov:<15}")
+
+        print("-" * 110)
+
+
+def check_coverage(xml_path: str, threshold: float) -> bool:
+    """Check if all enforced targets meet the coverage threshold.
+
+    Args:
+        xml_path: Path to the Cobertura XML coverage report.
+        threshold: Minimum required coverage percentage.
+
+    Returns:
+        True if all enforced targets pass, False otherwise.
+    """
+    packages, files, overall_line_rate, overall_branch_rate = parse_coverage_xml(
+        xml_path
+    )
+
+    print_coverage_table(
+        packages, files, threshold, overall_line_rate, overall_branch_rate
+    )
+
+    # Check enforced targets
+    failed_targets: list[str] = []
+    missing_targets: list[str] = []
+
+    for target_name in ENFORCED_TARGETS:
+        normalized_target = normalize_coverage_path(target_name)
+        package_alias = normalized_target.replace("/", ".")
+
+        target_coverage = None
+        if target_name in packages:
+            target_coverage = packages[target_name]
+        elif normalized_target in files:
+            target_coverage = files[normalized_target]
+        elif package_alias in packages:
+            target_coverage = packages[package_alias]
+
+        if target_coverage is None:
+            missing_targets.append(target_name)
+            continue
+
+        if target_coverage.line_coverage_percent < threshold:
+            failed_targets.append(
+                f"{target_name} ({target_coverage.line_coverage_percent:.1f}%)"
+            )
+
+    # Report results
+    if missing_targets:
+        print(
+            f"\n❌ FAILED: Enforced targets not found in coverage report: {', '.join(missing_targets)}"
+        )
+        return False
+
+    if failed_targets:
+        print(
+            f"\n❌ FAILED: The following enforced targets are below {threshold}% coverage threshold:"
+        )
+        for target in failed_targets:
+            print(f"   - {target}")
+        print("\nTo fix: Add more tests to improve coverage for the failing targets.")
+        return False
+
+    if ENFORCED_TARGETS:
+        found_enforced = [
+            target
+            for target in ENFORCED_TARGETS
+            if target in packages or normalize_coverage_path(target) in files
+        ]
+        if found_enforced:
+            print(
+                f"\n✅ PASSED: All enforced targets meet the {threshold}% coverage threshold."
+            )
+
+    return True
+
+
+def main() -> int:
+    """Main entry point.
+
+    Returns:
+        Exit code: 0 for success, 1 for failure.
+    """
+    if len(sys.argv) != 3:
+        print(f"Usage: {sys.argv[0]} <coverage-xml-path> <threshold>")
+        print(f"Example: {sys.argv[0]} python-coverage.xml 85")
+        return 1
+
+    xml_path = sys.argv[1]
+    try:
+        threshold = float(sys.argv[2])
+    except ValueError:
+        print(f"Error: Invalid threshold value: {sys.argv[2]}")
+        return 1
+
+    try:
+        success = check_coverage(xml_path, threshold)
+        return 0 if success else 1
+    except FileNotFoundError:
+        print(f"Error: Coverage file not found: {xml_path}")
+        return 1
+    except ET.ParseError as e:
+        print(f"Error: Failed to parse coverage XML: {e}")
+        return 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())

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

@@ -31,7 +31,7 @@ jobs:
     env:
       UV_PYTHON: ${{ matrix.python-version }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
       - name: Set up python and install the project
@@ -42,7 +42,7 @@ jobs:
           os: ${{ runner.os }}
         env:
           UV_CACHE_DIR: /tmp/.uv-cache
-      - uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
+      - uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5
         with:
           path: ~/.cache/prek
           key: prek|${{ matrix.python-version }}|${{ hashFiles('python/.pre-commit-config.yaml') }}
@@ -68,7 +68,7 @@ jobs:
     env:
       UV_PYTHON: ${{ matrix.python-version }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
       - name: Set up python and install the project
@@ -97,7 +97,7 @@ jobs:
     env:
       UV_PYTHON: ${{ matrix.python-version }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
       - name: Set up python and install the project
@@ -128,7 +128,7 @@ jobs:
     env:
       UV_PYTHON: ${{ matrix.python-version }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
       - name: Set up python and install the project

.github/workflows/python-dependency-maintenance.yml

@@ -25,7 +25,7 @@ jobs:
       # installability starts differing across supported Python versions.
       UV_PYTHON: "3.13"
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           fetch-depth: 0
 

.github/workflows/python-docs.yml

@@ -24,9 +24,9 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up uv
-        uses: astral-sh/setup-uv@c771a70e6277c0a99b617c7a806ffedaca235ff9 # v9.0.0
+        uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
         with:
           version-file: "python/pyproject.toml"
           enable-cache: true

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

@@ -13,25 +13,13 @@ on:
   workflow_call:
     inputs:
       checkout-ref:
-        description: "Immutable commit SHA to check out"
+        description: "Git ref to checkout (e.g., refs/pull/123/head)"
         required: true
         type: string
-    secrets:
-      ANTHROPIC_API_KEY:
-        required: true
-      AZURE_CLIENT_ID:
-        required: true
-      AZURE_TENANT_ID:
-        required: true
-      AZURE_SUBSCRIPTION_ID:
-        required: true
-      FOUNDRY_MODELS_API_KEY:
-        required: false
-      OPENAI__APIKEY:
-        required: true
 
 permissions:
   contents: read
+  id-token: write
 
 env:
   UV_CACHE_DIR: /tmp/.uv-cache
@@ -48,7 +36,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -81,7 +69,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -111,9 +99,6 @@ jobs:
   # Azure OpenAI integration tests
   python-tests-azure-openai:
     name: Python Integration Tests - Azure OpenAI
-    permissions:
-      contents: read
-      id-token: write
     runs-on: ubuntu-latest
     environment: integration
     timeout-minutes: 60
@@ -127,7 +112,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -178,7 +163,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -192,7 +177,7 @@ jobs:
         run: curl -fsSL https://ollama.com/install.sh | sh
         working-directory: .
       - name: Cache Ollama models
-        uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
+        uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
         with:
           path: ~/.ollama/models
           key: ollama-models-qwen2.5-1.5b-nomic-embed-text-v1
@@ -232,15 +217,13 @@ jobs:
           fallback_url: ${{ env.LOCAL_MCP_URL }}
       - name: Prefer local MCP URL when available
         run: echo "LOCAL_MCP_URL=${{ steps.local-mcp.outputs.effective_url }}" >> "$GITHUB_ENV"
-      - name: Test with pytest (Anthropic, Hyperlight, Mistral, Ollama, MCP integration)
+      - name: Test with pytest (Anthropic, Hyperlight, Ollama, MCP integration)
         run: >
           uv run pytest --import-mode=importlib
           packages/anthropic/tests
           packages/hyperlight/tests
-          packages/mistral/tests
           packages/ollama/tests
           packages/core/tests/core/test_mcp.py
-          packages/hosting-mcp/tests
           -m integration
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
@@ -274,12 +257,73 @@ jobs:
           done
           kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" 2>/dev/null || true
 
+  # Azure Functions + Durable Task integration tests
+  python-tests-functions:
+    name: Python Integration Tests - Functions
+    runs-on: ubuntu-latest
+    environment: integration
+    timeout-minutes: 60
+    env:
+      UV_PYTHON: "3.11"
+      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FUNCTIONS_WORKER_RUNTIME: "python"
+      DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
+      AzureWebJobsStorage: "UseDevelopmentStorage=true"
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # 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: Azure CLI Login
+        uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
+        with:
+          client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+      - name: Set up Azure Functions Integration Test Emulators
+        uses: ./.github/actions/azure-functions-integration-setup
+        id: azure-functions-setup
+      - name: Test with pytest (Functions + Durable Task integration)
+        run: >
+          uv run pytest --import-mode=importlib
+          packages/azurefunctions/tests/integration_tests
+          packages/durabletask/tests/integration_tests
+          -m integration
+          -n logical --dist worksteal
+          -x
+          --timeout=480 --session-timeout=900 --timeout_method thread
+          --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
+      - name: Upload test results
+        if: always()
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
+        with:
+          name: test-results-functions
+          path: ./python/pytest.xml
+          if-no-files-found: ignore
+
   # Foundry integration tests
   python-tests-foundry:
     name: Python Integration Tests - Foundry
-    permissions:
-      contents: read
-      id-token: write
     runs-on: ubuntu-latest
     environment: integration
     timeout-minutes: 60
@@ -297,7 +341,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -334,9 +378,6 @@ jobs:
   # Foundry Hosting integration tests
   python-tests-foundry-hosting:
     name: Python Integration Tests - Foundry Hosting
-    permissions:
-      contents: read
-      id-token: write
     runs-on: ubuntu-latest
     environment: integration
     timeout-minutes: 60
@@ -347,7 +388,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -402,7 +443,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -438,18 +479,15 @@ jobs:
     name: Python Integration Tests - GitHub Copilot
     runs-on: ubuntu-latest
     environment: integration
-    permissions:
-      copilot-requests: write
-      contents: read
     timeout-minutes: 60
     env:
-      GITHUB_TOKEN: ${{ github.token }}
+      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
       GITHUB_COPILOT_TIMEOUT: "120"
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -487,6 +525,7 @@ jobs:
         python-tests-openai,
         python-tests-azure-openai,
         python-tests-misc-integration,
+        python-tests-functions,
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,
@@ -497,7 +536,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
         with:
           ref: ${{ inputs.checkout-ref }}
           persist-credentials: false
@@ -551,6 +590,7 @@ jobs:
         python-tests-openai,
         python-tests-azure-openai,
         python-tests-misc-integration,
+        python-tests-functions,
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,

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

@@ -24,7 +24,7 @@ jobs:
     outputs:
       pythonChanges: ${{ steps.filter.outputs.python}}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - uses: dorny/paths-filter@7b450fff21473bca461d4b92ce414b9d0420d706 # v4.0.2
         id: filter
         with:
@@ -63,7 +63,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Set up python and install the project
         id: python-setup
@@ -71,7 +71,7 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           os: ${{ runner.os }}
-          exclude-packages: ${{ matrix.python-version == '3.10' && 'agent-framework-github-copilot agent-framework-azure-cosmos-memory' || '' }}
+          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

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

@@ -36,12 +36,13 @@ jobs:
       openaiChanged: ${{ steps.filter.outputs.openai }}
       azureChanged: ${{ steps.filter.outputs.azure }}
       miscChanged: ${{ steps.filter.outputs.misc }}
+      functionsChanged: ${{ steps.filter.outputs.functions }}
       foundryChanged: ${{ steps.filter.outputs.foundry }}
       foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
       cosmosChanged: ${{ steps.filter.outputs.cosmos }}
       githubCopilotChanged: ${{ steps.filter.outputs.github_copilot }}
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - uses: dorny/paths-filter@7b450fff21473bca461d4b92ce414b9d0420d706 # v4.0.2
         id: filter
         with:
@@ -67,15 +68,16 @@ jobs:
             misc:
               - 'python/packages/anthropic/**'
               - 'python/packages/hyperlight/**'
-              - 'python/packages/mistral/**'
               - 'python/packages/ollama/**'
               - 'python/packages/core/agent_framework/_mcp.py'
               - 'python/packages/core/tests/core/test_mcp.py'
-              - 'python/packages/hosting-mcp/**'
               - '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/**'
             foundry:
               - 'python/packages/foundry/**'
               - 'python/samples/**/providers/foundry/**'
@@ -107,7 +109,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -154,7 +156,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -215,7 +217,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -285,7 +287,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -296,7 +298,7 @@ jobs:
         run: curl -fsSL https://ollama.com/install.sh | sh
         working-directory: .
       - name: Cache Ollama models
-        uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
+        uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
         with:
           path: ~/.ollama/models
           key: ollama-models-qwen2.5-1.5b-nomic-embed-text-v1
@@ -336,15 +338,13 @@ jobs:
           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, Hyperlight, Mistral, Ollama, MCP integration)
+      - name: Test with pytest (Anthropic, Hyperlight, Ollama, MCP integration)
         run: >
           uv run pytest --import-mode=importlib
           packages/anthropic/tests
           packages/hyperlight/tests
-          packages/mistral/tests
           packages/ollama/tests
           packages/core/tests/core/test_mcp.py
-          packages/hosting-mcp/tests
           -m integration
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
@@ -388,6 +388,84 @@ jobs:
           path: ./python/pytest.xml
           if-no-files-found: ignore
 
+  # Azure Functions + Durable Task integration tests
+  python-tests-functions:
+    name: Python Tests - Functions 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.functionsChanged == 'true' ||
+       needs.paths-filter.outputs.coreChanged == 'true')
+    runs-on: ubuntu-latest
+    environment: integration
+    env:
+      UV_PYTHON: "3.11"
+      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
+      AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
+      AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FUNCTIONS_WORKER_RUNTIME: "python"
+      DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
+      AzureWebJobsStorage: "UseDevelopmentStorage=true"
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # 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: Azure CLI Login
+        if: github.event_name != 'pull_request'
+        uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
+        with:
+          client-id: ${{ secrets.AZURE_CLIENT_ID }}
+          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
+          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
+      - name: Set up Azure Functions Integration Test Emulators
+        uses: ./.github/actions/azure-functions-integration-setup
+        id: azure-functions-setup
+      - name: Test with pytest (Functions + Durable Task integration)
+        run: >
+          uv run pytest --import-mode=importlib
+          packages/azurefunctions/tests/integration_tests
+          packages/durabletask/tests/integration_tests
+          -m integration
+          -n logical --dist worksteal
+          -x
+          --timeout=480 --session-timeout=900 --timeout_method thread
+          --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
+        working-directory: ./python
+      - name: Surface failing tests
+        if: always()
+        uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
+        with:
+          path: ./python/pytest.xml
+          summary: true
+          display-options: fEX
+          fail-on-empty: false
+          title: Functions integration test results
+      - name: Upload test results
+        if: always()
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
+        with:
+          name: test-results-functions
+          path: ./python/pytest.xml
+          if-no-files-found: ignore
+
   python-tests-foundry:
     name: Python Integration Tests - Foundry
     needs: paths-filter
@@ -413,7 +491,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -474,7 +552,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -545,7 +623,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -595,18 +673,15 @@ jobs:
        needs.paths-filter.outputs.coreChanged == 'true')
     runs-on: ubuntu-latest
     environment: integration
-    permissions:
-      copilot-requests: write
-      contents: read
     timeout-minutes: 60
     env:
-      GITHUB_TOKEN: ${{ github.token }}
+      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
       GITHUB_COPILOT_TIMEOUT: "120"
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -650,6 +725,7 @@ jobs:
         python-tests-openai,
         python-tests-azure-openai,
         python-tests-misc-integration,
+        python-tests-functions,
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,
@@ -660,7 +736,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         uses: ./.github/actions/python-setup
         with:
@@ -711,6 +787,7 @@ jobs:
         python-tests-openai,
         python-tests-azure-openai,
         python-tests-misc-integration,
+        python-tests-functions,
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,

.github/workflows/python-release.yml

@@ -23,7 +23,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup

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

@@ -8,11 +8,11 @@ on:
 env:
   # Configure a constant location for the uv cache
   UV_CACHE_DIR: /tmp/.uv-cache
-  GITHUB_TOKEN: ${{ github.token }}
-  GITHUB_COPILOT_MODEL: auto
+  # GitHub Copilot configuration
+  GITHUB_COPILOT_MODEL: claude-opus-4.6
+  COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
 
 permissions:
-  copilot-requests: write
   contents: read
   id-token: write
 
@@ -23,13 +23,13 @@ jobs:
     environment: integration
     env:
       # Required configuration for get-started samples
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -48,10 +48,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 01-get-started --save-report --report-name 01-get-started
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -61,13 +57,12 @@ jobs:
 
   validate-02-agents:
     name: Validate 02-agents
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     env:
       # Foundry configuration
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
@@ -75,19 +70,19 @@ jobs:
       AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME || vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
       # OpenAI configuration
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-      OPENAI_CHAT_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       # GitHub MCP
       GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
-      OPENAI_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       # Observability
       ENABLE_INSTRUMENTATION: "true"
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -113,11 +108,7 @@ jobs:
 
       - name: Run sample validation
         run: |
-          cd scripts && uv run python -m sample_validation --subdir 02-agents --exclude providers harness tools --save-report --report-name 02-agents
-
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
+          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@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
@@ -126,110 +117,20 @@ jobs:
           name: validation-report-02-agents
           path: python/samples/sample_validation/reports/
 
-  validate-02-agents-harness:
-    name: Validate 02-agents/harness
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
-    runs-on: ubuntu-latest
-    environment: integration
-    env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
-      # Optional: enables the Foundry memory path in harness samples
-      FOUNDRY_EMBEDDING_MODEL: ${{ vars.FOUNDRY_EMBEDDING_MODEL || '' }}
-      FOUNDRY_MEMORY_STORE: ${{ vars.FOUNDRY_MEMORY_STORE || '' }}
-    defaults:
-      run:
-        working-directory: python
-    steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-
-      - 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: ${{ runner.os }}
-
-      - name: Create .env for samples
-        run: |
-          echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
-          echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
-          echo "FOUNDRY_EMBEDDING_MODEL=$FOUNDRY_EMBEDDING_MODEL" >> .env
-          echo "FOUNDRY_MEMORY_STORE=$FOUNDRY_MEMORY_STORE" >> .env
-
-      - name: Run sample validation
-        run: |
-          cd scripts && uv run python -m sample_validation --subdir 02-agents/harness --save-report --report-name 02-agents-harness
-
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
-      - name: Upload validation report
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
-        if: always()
-        with:
-          name: validation-report-02-agents-harness
-          path: python/samples/sample_validation/reports/
-
-  validate-02-agents-tools:
-    name: Validate 02-agents/tools
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
-    runs-on: ubuntu-latest
-    environment: integration
-    env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
-    defaults:
-      run:
-        working-directory: python
-    steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-
-      - 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: ${{ runner.os }}
-
-      - name: Create .env for samples
-        run: |
-          echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
-          echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
-
-      - name: Run sample validation
-        run: |
-          cd scripts && uv run python -m sample_validation --subdir 02-agents/tools --save-report --report-name 02-agents-tools
-
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
-      - name: Upload validation report
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
-        if: always()
-        with:
-          name: validation-report-02-agents-tools
-          path: python/samples/sample_validation/reports/
-
   validate-02-agents-openai:
     name: Validate 02-agents/providers/openai
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     env:
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_MODEL: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-      OPENAI_CHAT_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -250,10 +151,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/openai --save-report --report-name 02-agents-openai
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -263,7 +160,6 @@ jobs:
 
   validate-02-agents-azure:
     name: Validate 02-agents/providers/azure
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     env:
@@ -274,7 +170,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -294,10 +190,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/azure --save-report --report-name 02-agents-azure
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -307,7 +199,6 @@ jobs:
 
   validate-02-agents-anthropic:
     name: Validate 02-agents/providers/anthropic
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     env:
@@ -317,7 +208,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -336,10 +227,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/anthropic --save-report --report-name 02-agents-anthropic
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -349,14 +236,13 @@ jobs:
 
   validate-02-agents-github-copilot:
     name: Validate 02-agents/providers/github_copilot
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -370,10 +256,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/github_copilot --save-report --report-name 02-agents-github-copilot
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -392,7 +274,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -406,10 +288,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/amazon --save-report --report-name 02-agents-amazon
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -428,7 +306,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -442,10 +320,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/ollama --save-report --report-name 02-agents-ollama
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -455,19 +329,19 @@ jobs:
 
   validate-02-agents-foundry:
     name: Validate 02-agents/providers/foundry
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
+    if: false # Temporarily disabled - provider folder also contains the local Foundry sample
     runs-on: ubuntu-latest
     environment: integration
     env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME || '' }}
       FOUNDRY_AGENT_VERSION: ${{ vars.FOUNDRY_AGENT_VERSION || '' }}
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -488,10 +362,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/foundry --save-report --report-name 02-agents-foundry
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -513,7 +383,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -534,10 +404,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/copilotstudio --save-report --report-name 02-agents-copilotstudio
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -553,7 +419,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -567,10 +433,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/custom --save-report --report-name 02-agents-custom
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -580,17 +442,16 @@ jobs:
 
   validate-03-workflows:
     name: Validate 03-workflows
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -609,10 +470,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 03-workflows --save-report --report-name 03-workflows
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -620,68 +477,21 @@ jobs:
           name: validation-report-03-workflows
           path: python/samples/sample_validation/reports/
 
-  validate-04-hosting-foundry-hosted-agents:
-    name: Validate 04-hosting (foundry-hosted-agents)
+  validate-04-hosting:
+    name: Validate 04-hosting
+    if: false # Temporarily disabled because of sample complexity
     runs-on: ubuntu-latest
     environment: integration
     env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
-      # Foundry hosted agent configuration
-      AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MODEL }}
-      FOUNDRY_PROJECT_ID: ${{ vars.FOUNDRY_PROJECT_ID }}
-      AZURE_CONTAINER_REGISTRY_ENDPOINT: ${{ vars.AZURE_CONTAINER_REGISTRY_ENDPOINT }}
-      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
-      TOOLBOX_ENDPOINT: ${{ vars.TOOLBOX_ENDPOINT }}
-      FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_HOSTED_AGENT_NAME }}
-      MEMORY_STORE_NAME: ${{ vars.FOUNDRY_HOSTED_AGENT_MEMORY_STORE }}
-      AZURE_SEARCH_ENDPOINT: ${{ vars.AZURE_SEARCH_ENDPOINT }}
-      AZURE_SEARCH_INDEX_NAME: ${{ vars.FOUNDRY_HOSTED_AGENT_SEARCH_INDEX_NAME }}
-    defaults:
-      run:
-        working-directory: python
-    steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-
-      - 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
-        # Maximum parallel workers is set to 1 because all samples use the same port
-        run: |
-          cd scripts && uv run python -m sample_validation --subdir 04-hosting/foundry-hosted-agents --save-report --report-name 04-hosting-foundry-hosted-agents --max-parallel-workers 1
-
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
-      - name: Upload validation report
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
-        if: always()
-        with:
-          name: validation-report-04-hosting-foundry-hosted-agents
-          path: python/samples/sample_validation/reports/
-
-  validate-04-hosting-other:
-    name: Validate 04-hosting (other)
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
-    runs-on: ubuntu-latest
-    environment: integration
-    env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # A2A configuration
       A2A_AGENT_HOST: http://localhost:5001/
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -693,17 +503,13 @@ jobs:
 
       - name: Run sample validation
         run: |
-          cd scripts && uv run python -m sample_validation --subdir 04-hosting --exclude foundry-hosted-agents --save-report --report-name 04-hosting-other
-
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
+          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@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
         with:
-          name: validation-report-04-hosting-other
+          name: validation-report-04-hosting
           path: python/samples/sample_validation/reports/
 
   validate-05-end-to-end:
@@ -712,8 +518,8 @@ jobs:
     runs-on: ubuntu-latest
     environment: integration
     env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
@@ -728,7 +534,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -742,10 +548,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -758,21 +560,21 @@ jobs:
     runs-on: ubuntu-latest
     environment: integration
     env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # OpenAI configuration
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-      OPENAI_CHAT_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
-      OPENAI_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
     defaults:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -792,16 +594,9 @@ jobs:
           echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
           echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
 
-      - name: Pre-install AutoGen dependencies for migration samples
-        run: uv pip install "autogen-agentchat" "autogen-ext[openai]"
-
       - name: Run sample validation
         run: |
-          cd scripts && uv run python -m sample_validation --subdir autogen-migration --save-report --report-name autogen-migration --agent-timeout 600
-
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
+          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@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
@@ -812,25 +607,23 @@ jobs:
 
   validate-semantic-kernel-migration:
     name: Validate semantic-kernel-migration
-    if: false # Temporarily disabled - to free up Copilot quota for other jobs
     runs-on: ubuntu-latest
     environment: integration
     env:
-      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
-      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
+      FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
+      FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration for AF
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
       # Azure OpenAI configuration for SK
       AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
       # OpenAI key
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-      OPENAI_CHAT_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
-      OPENAI_MODEL: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
+      OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       # OpenAI configuration for SK
-      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-      OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
+      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       # Copilot Studio
       COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
       COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
@@ -840,7 +633,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Setup environment
         uses: ./.github/actions/sample-validation-setup
@@ -868,10 +661,6 @@ jobs:
         run: |
           cd scripts && uv run python -m sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration
 
-      - name: Save sample playbooks
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/sample-validation-save-playbooks
-
       - name: Upload validation report
         uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
@@ -886,8 +675,6 @@ jobs:
     needs:
       - validate-01-get-started
       - validate-02-agents
-      - validate-02-agents-harness
-      - validate-02-agents-tools
       - validate-02-agents-openai
       - validate-02-agents-azure
       - validate-02-agents-anthropic
@@ -898,13 +685,12 @@ jobs:
       - validate-02-agents-copilotstudio
       - validate-02-agents-custom
       - validate-03-workflows
-      - validate-04-hosting-foundry-hosted-agents
-      - validate-04-hosting-other
+      - validate-04-hosting
       - validate-05-end-to-end
       - validate-autogen-migration
       - validate-semantic-kernel-migration
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - name: Download all validation reports
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1

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

@@ -20,7 +20,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Download coverage report
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
         with:

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

@@ -6,9 +6,6 @@ on:
     paths:
       - "python/packages/**"
       - "python/tests/unit/**"
-      - "python/scripts/workspace_poe_tasks.py"
-      - ".github/scripts/python_check_coverage.py"
-      - ".github/workflows/python-test-coverage.yml"
 env:
   # Configure a constant location for the uv cache
   UV_CACHE_DIR: /tmp/.uv-cache
@@ -25,7 +22,7 @@ jobs:
     env:
       UV_PYTHON: "3.11"
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       # Save the PR number to a file since the workflow_run event
       # in the coverage report workflow does not have access to it
       - name: Save PR number
@@ -40,10 +37,10 @@ jobs:
         env:
           # Configure a constant location for the uv cache
           UV_CACHE_DIR: /tmp/.uv-cache
-      - name: Run aggregate tests with coverage report
+      - name: Run all tests with coverage report
         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/scripts/python_check_coverage.py python-coverage.xml ${{ env.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@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         with:

.github/workflows/python-tests.yml

@@ -31,14 +31,14 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
         with:
           python-version: ${{ matrix.python-version }}
           os: ${{ runner.os }}
-          exclude-packages: ${{ matrix.python-version == '3.10' && 'agent-framework-github-copilot agent-framework-azure-cosmos-memory' || '' }}
+          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

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

@@ -26,29 +26,12 @@ jobs:
   ping_stale:
     name: "Ping stale issues and PRs"
     runs-on: ubuntu-latest
-    environment: github-app-auth
     permissions:
       contents: read
-      id-token: write
       issues: write
       pull-requests: write
     steps:
-      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-
-      - name: Get GitHub automation token
-        id: github-auth
-        uses: ./.github/actions/github-app-token
-        with:
-          mode: ${{ vars.GH_APP_AUTH_MODE }}
-          azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
-          azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
-          azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
-          key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
-          key-name: ${{ secrets.GH_APP_KEY_NAME }}
-          github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
-          github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
-          repository: ${{ github.repository }}
-          fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
 
       - uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
         with:
@@ -60,7 +43,7 @@ jobs:
       - name: Run stale issue/PR ping
         run: python .github/scripts/stale_issue_pr_ping.py
         env:
-          GITHUB_TOKEN: ${{ steps.github-auth.outputs.token }}
+          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' }}

README.md

@@ -161,19 +161,19 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 
 ### Python
 
-- [Getting Started](./python/samples/01-get-started): progressive tutorial from hello-world to workflows
+- [Getting Started](./python/samples/01-get-started): progressive tutorial from hello-world to hosting
 - [Agent Concepts](./python/samples/02-agents): deep-dive samples by topic (tools, middleware, providers, etc.)
 - [Workflows](./python/samples/03-workflows): workflow creation and integration with agents
-- [Hosting](./python/samples/04-hosting): A2A, self-hosted protocol helpers, and Foundry hosted agents. Durable Task and Azure Functions samples are in the [Durable Agent Framework extension](https://github.com/microsoft/agent-framework-durable-extension/tree/main/python/samples).
+- [Hosting](./python/samples/04-hosting): A2A, Azure Functions, Durable Task hosting
 - [End-to-End](./python/samples/05-end-to-end): full applications, evaluation, and demos
 
 ### .NET
 
-- [Getting Started](./dotnet/samples/01-get-started): progressive tutorial from hello agent to workflows
+- [Getting Started](./dotnet/samples/01-get-started): progressive tutorial from hello agent to hosting
 - [Agent Concepts](./dotnet/samples/02-agents/Agents): basic agent creation and tool usage
 - [Agent Providers](./dotnet/samples/02-agents/AgentProviders): samples showing different agent providers
 - [Workflows](./dotnet/samples/03-workflows): advanced multi-agent patterns and workflow orchestration
-- [Hosting](./dotnet/samples/04-hosting): A2A and Foundry hosted agents. Durable agent and workflow samples are in the [Durable Agent Framework extension](https://github.com/microsoft/agent-framework-durable-extension/tree/main/dotnet/samples).
+- [Hosting](./dotnet/samples/04-hosting): A2A, Durable Agents, Durable Workflows
 - [End-to-End](./dotnet/samples/05-end-to-end): full applications and demos
 
 ## Community & Feedback
@@ -199,7 +199,6 @@ For environment variable configuration specific to each sample, refer to the REA
 ## Contributor Resources
 
 - [Contributing Guide](./CONTRIBUTING.md)
-- [Code of Conduct](./CODE_OF_CONDUCT.md)
 - [Python Development Guide](./python/DEV_SETUP.md)
 - [Design Documents](./docs/design)
 - [Architectural Decision Records](./docs/decisions)

docs/decisions/0027-hosting-channels.md

@@ -204,8 +204,7 @@ safe to use:
   transient execution.
 
 A `SessionStore` stores `session_id -> AgentSession`, but it does not create sessions. `AgentState` resolves the agent
-target and creates the session on first use. Reads return independent working copies so running from one continuation
-point does not mutate the stored snapshot or another simultaneous branch:
+target and creates the session on first use:
 
 For agent targets:
 
@@ -228,11 +227,6 @@ await state.set_session(response_id, session)
 `agent.run(...)` may update the session object (for example, with service continuation state), so the explicit store call
 belongs after the run, not before it.
 
-Response ids are immutable continuation points, so simultaneous callers can branch from one `previous_response_id` and
-store their completed sessions under different new response ids. A stable `conversation_id` is a mutable head: the app
-must explicitly update it after the run and provide single-writer coordination. The hosting state helper does not lock
-an entire run or resolve concurrent updates to that stable key.
-
 The session id is a partition key, not proof of identity. App or platform code must authenticate and authorize any
 externally supplied key before using it.
 

docs/decisions/0032-dotnet-hosting-protocol-helpers.md

@@ -1,177 +0,0 @@
----
-status: accepted
-contact: rogerbarreto
-date: 2026-07-08
-deciders: rogerbarreto
-consulted: eavanvalkenburg
-informed: []
----
-
-# .NET hosting: OpenAI Responses protocol helpers for app-owned routing
-
-Realizes the helper-first direction of [ADR-0027](0027-hosting-channels.md) for .NET.
-
-## Context and Problem Statement
-
-[ADR-0027](0027-hosting-channels.md) refocused the (Python) hosting design away from a channel
-framework toward **protocol conversion helpers plus optional execution state**: Agent Framework owns
-protocol-native <-> run conversion, while the application owns HTTP routing, authentication,
-middleware, storage, and native SDK calls.
-
-.NET already ships `Microsoft.Agents.AI.Hosting.OpenAI`, a route-owning server that **exposes an
-`AIAgent` (or workflow) as the OpenAI Responses API** (`MapOpenAIResponses` + `IResponsesService`). It
-owns the routes, an in-memory response/conversation store, streaming, and lifecycle. The question is
-what, if anything, .NET must add to satisfy the ADR-0027 boundary.
-
-## Decision Drivers
-
-- Do not reinvent conversion logic that already exists and is battle-tested in `Hosting.OpenAI`.
-- Give applications a way to own their own route/auth/middleware/storage while reusing Agent Framework
-  conversion (the ADR-0027 boundary).
-- Keep the released public surface small.
-- Stay consistent with the existing .NET hosting stack, which deliberately does **not** use the OpenAI
-  SDK Responses types server-side (it hand-rolled its own wire model).
-
-## Considered Options
-
-1. Self-contained new package that reimplements conversion using the OpenAI SDK Responses types
-   (mirrors the Python `agent-framework-hosting-responses` lineage).
-2. New package that reuses `Hosting.OpenAI`'s internal converters (via `InternalsVisibleTo` or by
-   moving the conversion core out).
-3. Thin public helper facade **inside** `Hosting.OpenAI` over the existing internal converters, plus
-   protocol-neutral execution-state holders in `Microsoft.Agents.AI.Hosting`.
-
-### First-principles gap analysis
-
-A capability comparison of the ADR-0027 / PR #6891 helper surface against the existing .NET stack:
-
-| Python helper capability | .NET today | Status |
-| --- | --- | --- |
-| `responses_to_run` | `ResponseInput.GetInputMessages` + `InputMessage.ToChatMessage` + `OpenAIResponsesMapOptions.RunOptionsFactory` | exists, internal |
-| `responses_from_run` | `AgentResponseExtensions.ToResponse` | exists, internal |
-| `responses_from_streaming_run` | `AgentResponseUpdateExtensions.ToStreamingResponseAsync` + `SseJsonResult` (also renders workflow events) | exists, internal, richer |
-| `responses_session_id` | continuity resolved inside `InMemoryResponsesService` | exists, internal, not standalone |
-| `create_response_id` | `IdGenerator` | exists, internal |
-| `AgentState` (target + store, get-or-create, callable/awaitable target) | `AgentSessionStore` (get-or-create + save + serialize + isolation) + DI container (target lifetime + async setup) | create-on-miss lives in the store; per-run instance and deferred/async target come from DI, so no separate holder is needed |
-| `SessionStore` (get/set/delete) | `AgentSessionStore` + `InMemoryAgentSessionStore` | richer; `Delete` added |
-| `WorkflowState` + checkpoint resume | `WorkflowCatalog`/`HostedWorkflowBuilder`; workflow events already render over Responses; `CheckpointManager` is session-keyed | partial; no per-session checkpoint cursor |
-| App owns routing/auth/middleware/storage | `MapOpenAIResponses`/`IResponsesService` own routing + storage | **the one real gap** |
-
-.NET already covers ~90% of the capability, and more richly (its streaming renderer even emits workflow
-events; its session store serializes and supports per-principal isolation, neither of which Python's
-in-memory `SessionStore` does). The single genuine gap is the **ownership model**: every conversion
-primitive is bundled behind the route-owning server, so an application cannot own its own route and
-call just the conversion.
-
-Note on lineage: Python's Responses offering was introduced *as a channel* (PR #6580) and always used
-the `openai` SDK Responses types. .NET's `Hosting.OpenAI` predates and is independent of channels and
-hand-rolled its own server-side wire DTOs (the SDK's Responses types are client-shaped and awkward
-server-side). So Option 1 would both reinvent a working asset and contradict the .NET codebase's own
-precedent.
-
-## Decision Outcome
-
-Chosen option: **3. Thin public helper facade inside `Hosting.OpenAI` plus neutral state holders**,
-because the only real gap is the ownership model, so the work is to *un-bundle* the existing
-converters, not to rebuild them or add a package.
-
-### Public surface
-
-`Microsoft.Agents.AI.Hosting.OpenAI` gains a single public static facade, `OpenAIResponses`, whose
-boundary is `System.Text.Json` (`JsonElement`/streamed events), matching Python's dict boundary and
-keeping the hand-rolled wire DTOs internal:
-
-- `OpenAIResponses.ToAgentRunRequest(JsonElement body)` -> messages + `AgentRunOptions?`.
-- `OpenAIResponses.WriteResponse(AgentRunResponse response, string responseId, string? sessionId = null)`
-  -> a Responses-shaped `JsonElement`.
-- `OpenAIResponses.WriteResponseStreamAsync(IAsyncEnumerable<AgentRunResponseUpdate> updates, string responseId, ...)`
-  -> Responses SSE `data:` frames.
-- `OpenAIResponses.GetSessionId(JsonElement body)` -> `previous_response_id` or `conversation` id, or
-  `null`. Kept **separate** from `ToAgentRunRequest` so the trust boundary is visible: choosing to use
-  a request-derived key is an explicit application decision.
-- `OpenAIResponses.CreateResponseId()` -> a `resp_*` id.
-
-All helpers are side-effect-free and delegate to the existing internal converters. `MapOpenAIResponses`
-public behavior is unchanged; it and the facade share one internal conversion core (an internal
-`ToResponse` overload with an optional originating request is added so the facade can render without a
-request object).
-
-### Optional execution state (neutral package)
-
-`Microsoft.Agents.AI.Hosting` gains:
-
-- `AgentSessionStore.DeleteSessionAsync(...)` (+ `InMemoryAgentSessionStore` implementation and
-  isolation-decorator passthrough): the one missing store operation.
-- No agent-side holder. Applications use `AgentSessionStore` directly: `GetSessionAsync(agent, id)`
-  already creates on miss and returns an independent session instance per call (so concurrent calls fork
-  the same stored state rather than sharing an instance), `SaveSessionAsync(agent, id, session)` persists
-  post-run (including under a newly minted id), and `DeleteSessionAsync(agent, id)` removes it. An earlier
-  draft added a `HostedAgentState` holder, but once create-on-miss lives in the store and the store does no
-  cross-call locking, the holder would only bind the `agent` argument, which is not enough to justify a
-  public type. Any coordination for concurrent runs against the same id is the application's concern.
-  (Unlike Python, whose `SessionStore` is get/set-only and whose `AgentState` therefore owns
-  create-on-miss, .NET's store already owns it.)
-
-  Python's `AgentState` carries two further responsibilities beyond create-on-miss: it accepts a callable
-  or awaitable target so the host can (1) obtain a fresh agent instance per run and (2) defer expensive or
-  asynchronous agent setup while keeping server construction synchronous. In .NET these two concerns are
-  owned by the dependency-injection container, not by a hosting type. Per-run lifetime is expressed by the
-  registration lifetime (`AddScoped`/`AddTransient` yields a fresh `AIAgent` per request or scope, resolved
-  by the framework), and deferred or asynchronous construction is expressed by an async factory registration
-  (for example an `async` factory delegate, `ActivatorUtilities`, or resolving the agent inside the request
-  after any async warm-up), so the route handler resolves an already-built agent from the container. An
-  `AIAgent` is also safe to invoke concurrently (per-turn state lives in `AgentSession`, not the agent), so
-  the "fresh instance per run" motivation does not apply to it the way it does to a workflow. This is the
-  deliberate asymmetry with `HostedWorkflowState` below: a `Workflow` instance is a stateful run engine that
-  cannot be driven by two runners at once, so the factory/`cacheWorkflow` affordance is load-bearing there
-  for correctness, whereas for agents the container already provides both per-run instances and async setup.
-- `HostedWorkflowState`: a thin holder bundling a workflow target with a `CheckpointManager` and an
-  internal `sessionId -> CheckpointInfo` head cursor, exposing `RunOrResumeAsync`. .NET's checkpoint
-  store is already `sessionId`-keyed (unlike Python's workflow-name keying), but `CheckpointInfo` has
-  no ordering, so the holder remembers the head checkpoint per session to resume. On subsequent turns it
-  restores that checkpoint and runs the workflow forward with the new turn's input (mirroring the Python
-  host's restore-then-run semantics), rather than continuing a halted run with no input. When the
-  in-memory cursor misses (new holder / process restart) it reads the session's latest checkpoint from the
-  `CheckpointManager`, so a durable manager resumes across restarts. It accepts either a single workflow
-  instance (which cannot be run by two runners at once, so its turns are processed one at a time) or a
-  workflow factory (`Func<CancellationToken, ValueTask<Workflow>>`). By default the factory builds a fresh
-  instance per run so independent sessions run in parallel; with `cacheWorkflow: true` the factory is invoked
-  once lazily and its result is cached and reused (a deferred, cached target that, like the instance, cannot
-  run concurrent turns). A resume rehydrates an instance from the session's checkpoint in the shared store, so
-  per-run instances still continue the same run; concurrent turns against the same session id remain the
-  application's coordination responsibility.
-
-### Scope
-
-Responses only for v1; the facade is named so a parallel `OpenAIChatCompletions` facade can follow.
-No new package, no OpenAI-SDK-typed reimplementation, no change to `MapOpenAIResponses` public
-behavior.
-
-### Security responsibilities
-
-Consistent with ADR-0027, the application owns the trust boundary. `GetSessionId(...)` returns an
-untrusted candidate key; the application must authenticate the caller and authorize/bind the id before
-using it as an `AgentSessionStore` key or workflow checkpoint session id. Multi-user hosts must scope
-the session store per principal (`IsolationKeyScopedAgentSessionStore`). Helpers stay side-effect-free;
-persistence happens only after the run completes.
-
-## Consequences
-
-Positive:
-
-- Smallest possible surface: the released addition is one facade type plus one thin workflow state
-  holder and one new store method (agents use `AgentSessionStore` directly, no holder).
-- No duplicated conversion; the app-owned-routing path and the route-owning server share one core.
-- `MapOpenAIResponses` users are unaffected.
-
-Negative:
-
-- The facade's `JsonElement` boundary is less strongly typed than the internal DTOs (accepted to keep
-  the wire model internal and mirror Python's dict boundary).
-- Workflow resume relies on an in-memory head cursor by default; durable multi-replica hosts must
-  supply their own cursor persistence.
-
-## More Information
-
-- Parent ADR: [ADR-0027](0027-hosting-channels.md).
-- Spec: `docs/specs/003-dotnet-hosting-protocol-helpers.md`.

docs/decisions/0032-durable-azure-functions-extraction.md

@@ -1,104 +0,0 @@
----
-status: Accepted
-contact: cgillum
-date: 2026-07-21
-deciders: cgillum, vrdmr, chetantoshniwal
-consulted: westey-m, eavanvalkenburg, kshyju, larohra, ahmedmuhsin
-informed:
----
-
-# Extract Durable Task and Azure Functions hosting into a separate repository
-
-## Context and Problem Statement
-
-The Durable Task and Azure Functions hosting integrations (`agent-framework-durabletask`,
-`agent-framework-azurefunctions`, plus their samples, docs, and CI) currently live in the
-`microsoft/agent-framework` (MAF) monorepo. They carry heavyweight specialized dependencies
-(Azure Functions runtime, Durable Task) and need integration-test infrastructure (Functions Core
-Tools, Azurite, a DTS emulator) that the core repo otherwise does not.
-
-This ADR proposes moving them into a dedicated repository
-([`microsoft/agent-framework-durable-extension`](https://github.com/microsoft/agent-framework-durable-extension))
-and considers how to do so without breaking existing users who import them today.
-
-## Decision Drivers
-
-- **Independent lifecycle** — the hosting integrations should be able to version and release on their
-  own cadence, decoupled from core (extends [ADR-0008](0008-python-subpackages.md)'s goal of keeping
-  heavyweight/optional dependencies out of the main package).
-- **Dependency & CI isolation** — keep core lean and its PR pipeline free of heavyweight hosting
-  dependencies and integration-test prerequisites.
-- **Ownership** — a dedicated repo would give the integrations their own issues, CODEOWNERS, and
-  contribution flow.
-- **No breaking change** — existing `from agent_framework.azure import …` code and
-  `pip install agent-framework[all]` should keep working (stable-import-path guarantee, ADR-0008).
-
-## Considered Options
-
-1. **Keep in the MAF repo** (status quo).
-2. **Move out, drop the core shim** — the extension becomes standalone; core stops re-exporting the
-   types and removes them from `[all]`.
-3. **Move out, keep core's backward-compat shim + `[all]`** (proposed) — the code would live in the
-   new repo; core would still lazily re-export the entry-point types from `agent_framework.azure` and
-   keep both packages in the `[all]` extra (resolved from PyPI).
-
-## Decision Outcome
-
-Proposed choice: **Option 3.** Extract the integrations for lifecycle, dependency, and ownership
-isolation, while preserving the existing import surface so the move is invisible to consumers.
-Option 1 forgoes the isolation benefits; Option 2 achieves them but would be a breaking change for
-existing imports and the `[all]` extra.
-
-### Consequences
-
-- Good — would give independent release cadence, a leaner/faster core repo and CI, and clear
-  ownership for the hosting integrations.
-- Good — no user-visible break: existing imports and `agent-framework[all]` would continue to work
-  unchanged.
-- Neutral — type *definitions* would live once in the extension; the core shim would re-export only a
-  curated subset of entry-point types (no metadata duplication). The extension's own samples/docs
-  would import directly from `agent_framework_durabletask` / `agent_framework_azurefunctions`; the
-  shim would be compatibility-only.
-- Neutral — users may still open GitHub issues against the core repo for problems in the extension,
-  but the extension's own repo would be the primary place for issues and PRs. These issues would
-  need to be triaged and transferred to the extension repo.
-- Neutral — **.NET public API boundary.** The extension should prefer the smallest stable public core
-  API over friend-assembly access where the capability is useful to external hosts or tooling. For
-  workflow routing metadata, the agreed first step is to expose a read-only `Workflow.Edges` view plus
-  public `EdgeData.Connection` and `FanOutEdgeData`, while keeping graph construction internal
-  ([#7448](https://github.com/microsoft/agent-framework/issues/7448),
-  [#7459](https://github.com/microsoft/agent-framework/pull/7459)). This reduces internal coupling but
-  adds a public API compatibility commitment. Any remaining internal dependencies would still need to
-  be evaluated individually before retaining `InternalsVisibleTo`.
-- Bad — **Python version coordination.** Core's shim correctness would track the extension's publish
-  cadence. In the other direction, when an extension package adopts a new core API, maintainers would
-  need to choose per feature between raising its minimum core version (simpler, but forces every
-  extension user to upgrade) and conditional imports with fallback behavior (preserves support for
-  older core versions, but adds implementation and testing complexity).
-
-## Validation
-
-Compliance would be validated by:
-
-- Python: `uv lock --check` passing with both packages resolving from PyPI; the shim entry-point
-  symbols importing at runtime after `uv sync --all-extras`; `pyright` staying clean on
-  `agent_framework/azure/__init__.pyi`; and extension tests running against both the minimum supported
-  and current core versions when conditional compatibility behavior is used.
-- .NET: tests from an external assembly confirming that workflow routing metadata is inspectable
-  through the agreed public surface while graph construction remains internal.
-
-A known risk is **publish-lag**: if a symbol is added to core's shim before the extension has
-published a release that exports it, that symbol would not resolve at runtime. The mitigation would
-be to omit any such symbol from the shim until the extension publishes it, then add the entry and
-re-lock.
-
-## More Information
-
-- Related: [ADR-0008](0008-python-subpackages.md) (vendor namespaces + stable import paths),
-  [ADR-0021](0021-provider-leading-clients.md) (lazy-loading gateways),
-  [issue #7448](https://github.com/microsoft/agent-framework/issues/7448) and
-  [PR #7459](https://github.com/microsoft/agent-framework/pull/7459) (.NET workflow routing API).
-- Follow-ups: during extraction, keep the shim's re-exported symbols in sync with each newly
-  published extension release (adding any symbol only once the extension publishes it); document the
-  direct-import convention in the extension's samples READMEs so samples are not switched back to the
-  shim.

docs/decisions/0033-feature-usage-bitmask-user-agent.md

@@ -1,642 +0,0 @@
----
-status: accepted
-contact: eavanvalkenburg
-date: 2026-07-22
-deciders: eavanvalkenburg, chetantoshniwal
-consulted: TaoChenOSU, moonbox3, peibekwe, rogerbarreto, westey-m
-informed:
----
-
-# Feature-usage bitmask in the User-Agent
-
-## Context and Problem Statement
-
-We can see which Agent Framework packages are installed and that *some* framework
-call happened (via the existing `agent-framework-python/{version}` User-Agent),
-but we have no usage-based signal about **which features are actually exercised**
-at runtime, nor which are used *together* (e.g. workflows + MCP + Foundry). How
-can we collect a lightweight, privacy-respecting signal of feature usage for the
-traffic we can actually read, without standing up new event pipelines?
-
-The detailed mechanism is in [SPEC-004](../specs/004-feature-usage-telemetry.md);
-the per-language bit tables are in
-[feature-usage-bit-registry.md](../specs/feature-usage-bit-registry.md).
-
-## Decision Drivers
-
-- **Transparency** — openly documented, human-decodable, user-controllable. No
-  hidden or obfuscated telemetry.
-- **First-party scope / no third-party leakage** — emission requires both an
-  explicitly approved client/pipeline family and an approved actual HTTPS origin
-  on every request (including redirects). Credentials or an Azure setting alone
-  never approve a custom gateway/origin.
-- **Live signal** — read the process's observed-feature set *so far* at request
-  send time, rather than freezing it at client construction.
-- **Low cost / few moving parts** — reuse telemetry already in the request path;
-  bounded fixed-width processing; as little machinery as the job needs.
-- **Privacy** — encode only coarse "observed at least once" Boolean feature
-  state, never counts; no identifiers, arguments, prompts, payloads,
-  model/deployment names, endpoints, or customer-defined names.
-- **Use, not presence** — package-level indexes mean a capability reached its
-  first meaningful activation, not that a package was installed/imported or a
-  DI container constructed an unused service.
-- **Versioning discipline** — v1 is a point-in-time decision. Adding bits later is
-  easier than removing or redefining them, so the initial table should lean toward
-  fewer bits and avoid forcing v2 shortly after launch.
-- **Allocation discipline** — each bit represents a stable framework-owned
-  capability with a concrete product/support question and an actual-use mark
-  point; implementation detail and speculative distinctions stay out.
-
-## Considered Options
-
-The options below are grouped by the decisions that matter: the **transport**,
-the **granularity**, and the **registry sharing model**.
-
-### Transport
-
-#### A. User-Agent token, first-party only, per request (chosen)
-
-Stamp a `(feat=...)` comment onto the UA, but only on approved Azure/Foundry
-client pipelines, and re-evaluate it per request.
-
-- Good, reuses telemetry already sent to approved backends we can read.
-- Good, request-time stamping reflects the live mask (not frozen at construction).
-- Good, first-party scoping means no fingerprint leaks to third-party providers.
-- Good, two-factor destination approval (pipeline + actual origin) denies custom
-  `base_url` gateways and strips the token on unapproved redirect hops.
-- Good, maps onto .NET's existing per-request UA pipeline policies unchanged.
-- Neutral, v1 stamps only pipelines the framework creates or can configure
-  through supported public hooks. It does not mutate caller-owned clients or
-  reach into private SDK pipelines.
-- Bad, no signal for traffic that never hits a first-party endpoint (accepted —
-  we couldn't read it anyway).
-
-#### B. User-Agent token on all clients
-
-- Good, simplest to wire (one static header).
-- Bad, sends a deployment fingerprint to OpenAI/Anthropic/AWS/Google logs we
-  cannot read — privacy leak for zero benefit.
-- Bad, baked into static `default_headers`, so it freezes at client construction
-  and reports a near-empty mask.
-
-#### C. OpenTelemetry span/resource attribute
-
-- Good, precise per-call usage; no UA change.
-- Bad (**privacy — the main reason to hold it**), a span attribute broadcasts the
-  feature-combination fingerprint into the user's **general** telemetry pipeline,
-  which is typically exported to third-party APM vendors (Datadog, Honeycomb, …).
-  That re-introduces exactly the fingerprint leakage the first-party-only UA
-  scoping (A) was chosen to avoid — just into a different set of third parties.
-- Bad (secondary), also a cardinality footgun (a growing, combinatorial value
-  must never become a metric dimension).
-- Neutral, for the team's own goal it reaches us only if the user exports to
-  Azure Monitor and we query it.
-- **Deferred, not rejected.** The version prefix lets us add it later **if** the
-  User-Agent path cannot answer a concrete query and there is an acceptable
-  scoped/redacted variant.
-
-#### D. Bespoke usage events
-
-- Good, richest detail and flexibility.
-- Bad, new data flow and cost; larger privacy surface; heavy to build and review;
-  overkill for a coarse "which features" signal.
-
-#### E. Install/import-time signal only (status quo-ish)
-
-- Good, zero new runtime work.
-- Bad, measures installation, not usage; cannot capture feature combinations —
-  does not solve the problem.
-
-### Accumulation scope
-
-#### S1. Process-global, monotonic mask (chosen)
-
-A single mask per process; bits are OR-ed in as features are first used and never
-cleared. The token reflects "what this process has used so far."
-
-- **Binary interpretation:** a set bit means the feature was observed at least
-  once in this process before the request was sent. A bit repeated on later
-  requests is the same Boolean observation, not another feature use. It cannot be
-  summed into invocation, request, agent, user, or tenant counts.
-- Good, fits our **mixed feature lifecycle**: many features are *not* bound to an
-  outbound service request — an agent/workflow may first run or build, a
-  context/history provider may first participate in a session, and a host may
-  start serving before the request that later emits the token. A process-wide
-  mask can carry those activations forward.
-- Good, trivial and cheap: one OR under a lock (Python) / one atomic OR into one
-  of two 64-bit lanes (.NET); no per-request state plumbing.
-- Good, deliberately coarse for privacy: it avoids emitting a sequence of exact
-  per-call feature combinations that could reconstruct a workload's behavioral
-  trace.
-- Neutral, coarser than per-call — early requests carry fewer bits than later
-  ones, and the token says "this process used X", not "this call used X" or "X
-  was used this many times."
-
-For example, at time 1 Agent A can use MCP and a Foundry chat client. At time 2,
-Agent B in the same worker can make a normal Foundry chat call without MCP. The
-time-2 request still carries the MCP bit because MCP was previously observed in
-that process. It does **not** say Agent B used MCP, nor count a second MCP use.
-
-#### S2. Per-request set, reset between calls (botocore's model — rejected)
-
-AWS botocore scopes its `m/` feature codes to a `contextvars` set that is reset
-between requests, giving exact per-call attribution (and it deliberately no-ops
-when called outside a request context to avoid features bleeding across requests).
-See [Prior art](#prior-art).
-
-- Good, exact per-call attribution directly in the User-Agent.
-- Bad, **assumes every feature is exercised inside a single service request** —
-  true for botocore (an SDK natively bound to AWS service calls), but *not* for
-  us. Our features split into request-scoped ones (a chat call, an MCP tool
-  invocation) and decidedly non-request ones (workflow build/start, provider
-  participation, hosting startup). The latter have no service request to attach to, so a
-  per-request set would simply miss them.
-- Bad, needs `contextvars` propagation through every async/threaded path and a
-  reset discipline, plus enable/disable calls around every scoped operation; the
-  bleed-guard botocore documents is the warning sign.
-- Bad, creates a more detailed per-call behavioral trace, increasing the privacy
-  sensitivity and review burden compared with a coarse process-lifetime Boolean.
-- Note, per-call attribution for the request-scoped subset is better served by
-  the deferred OTel span path (option C) than by reshaping the UA token.
-
-### Granularity
-
-The mechanism can support several granularities. The remaining decision before
-implementation is how detailed v1 should be. The estimates below are
-intentionally rough; v1 uses a fixed 128-bit bound to leave useful headroom
-without making the registry unbounded.
-
-#### F0. Package-level bits
-
-One bit per package, set on first use of a package-owned public API, client,
-provider, or tool. It is **not** set on install, import, or assembly load.
-
-Examples that get bits:
-
-- `agent-framework-core` when `Agent`, `AgentSession`, `Workflow`, etc. is used.
-- `agent-framework-tools` when a `LocalShellTool` or `DockerShellTool` first
-  executes/probes its shell capability.
-- `agent-framework-foundry` when a `FoundryChatClient`, `FoundryAgent`, etc.
-  performs its first Foundry operation.
-- `agent-framework-openai` when `OpenAIChatClient`,
-  `OpenAIEmbeddingClient`, etc. performs its first provider operation.
-- `agent-framework-azure-ai-search` when `AzureAISearchContextProvider` is used.
-- `agent-framework-azure-cosmos` when `CosmosHistoryProvider` is used.
-- `agent-framework-redis` when `RedisContextProvider` or `RedisHistoryProvider`
-  is used.
-
-Examples that do **not** get separate bits: merely installed dependencies;
-imports or DI construction with no activation; `Agent` vs `AgentSession` vs
-`InMemoryHistoryProvider`; `FunctionTool` vs `MCPStdioTool` vs `LocalShellTool`
-vs `DockerShellTool`; `FoundryChatClient` vs `FoundryAgent`; `OpenAIChatClient`
-vs `OpenAIEmbeddingClient`.
-
-Rough estimate: Python ~25-35 bits; .NET ~15-25 bits.
-
-- Good, lowest specificity and simplest registry.
-- Good, clearly measures usage rather than dependency inventory if bits are set
-  only at package-owned public API/client/provider/tool use sites.
-- Bad, does not answer which major capability within a package is used.
-
-#### F1. Package + major capability bits
-
-Package bits plus selected major capabilities that are product-distinct and stable
-across implementations.
-
-Examples that get bits:
-
-- `agent-framework-core` plus `Agent`.
-- `AgentSession` plus `InMemoryHistoryProvider` / `FileHistoryProvider` as one
-  history capability.
-- `Workflow` / `FunctionalWorkflow` as one workflow capability.
-- `FunctionTool`; MCP transports as one MCP capability; shell tools as one shell
-  capability.
-- Skills provider plus stable source types: file, in-memory/programmatic, and
-  MCP-backed skills (with .NET inline/class skill distinctions).
-- Foundry chat/agent/embedding capabilities; OpenAI chat/embedding capabilities.
-
-Examples that do **not** get separate bits: `InMemoryHistoryProvider` vs
-`FileHistoryProvider`; `WorkflowBuilder`, `AgentExecutor`, `FunctionExecutor`, or
-`FanOutEdgeGroup`; `MCPStdioTool` vs `MCPStreamableHTTPTool` vs
-`MCPWebsocketTool`; `LocalShellTool` vs `DockerShellTool` vs
-`ShellEnvironmentProvider` vs `ShellPolicy`; `OpenAIChatClient` vs
-`OpenAIChatCompletionClient`; skill-source decorators such as caching, filtering,
-deduplication, and aggregation.
-
-Rough estimate: Python ~60-70 indexes; .NET ~45-55 indexes. The current candidate
-registry is at 63 Python / 52 .NET assigned indexes.
-
-- Good, likely answers the first product adoption questions while staying compact.
-- Good, fits comfortably within 128 bits while leaving room for additive package
-  and feature growth.
-- Neutral, some provider internals remain collapsed until a later additive bit is
-  justified.
-
-#### F2. Public construct / concrete type bits
-
-One bit per public construct that users intentionally instantiate or configure.
-
-Examples that get bits:
-
-- `Agent`, `AgentSession`, `InMemoryHistoryProvider`, `FileHistoryProvider`.
-- `Workflow`, `WorkflowBuilder`, `FunctionalWorkflow`.
-- `FunctionTool`, `MCPStdioTool`, `MCPStreamableHTTPTool`, `MCPWebsocketTool`.
-- `LocalShellTool`, `DockerShellTool`, `ShellEnvironmentProvider`, `ShellPolicy`.
-- `FoundryChatClient`, `FoundryAgent`, `OpenAIChatClient`,
-  `OpenAIChatCompletionClient`, `OpenAIEmbeddingClient`.
-
-Examples that do **not** get separate bits: `Agent.run` vs
-`Agent.run_streamed`; workflow edge/executor internals such as `AgentExecutor`,
-`FunctionExecutor`, or `FanOutEdgeGroup`; `LocalShellTool` persistent vs
-stateless mode; `ShellPolicy` allowlist vs denylist configuration; `FunctionTool`
-approval mode or result parser choices.
-
-Rough estimate: Python ~70-100 bits; .NET ~55-80 bits.
-
-- Good, concrete and directly tied to public API use.
-- Neutral, fits within 128 bits at the current estimate, but consumes much of the
-  deliberate growth reserve.
-- Bad, adds many call sites and more fingerprint specificity for v1.
-
-#### F3. Construct subtype / configuration bits
-
-Split important constructs by mode, transport, storage, or workflow primitive
-when that distinction matters.
-
-Examples that get bits:
-
-- `InMemoryHistoryProvider` and `FileHistoryProvider` separately.
-- `FunctionalWorkflow`, `WorkflowBuilder`, `AgentExecutor`, `FunctionExecutor`.
-- `FanOutEdgeGroup`, `FanInEdgeGroup`, `SwitchCaseEdgeGroup`.
-- `LocalShellTool` persistent, `LocalShellTool` stateless, `DockerShellTool`.
-- `MCPStdioTool`, `MCPStreamableHTTPTool`, `MCPWebsocketTool`;
-  `OpenAIChatClient` vs `OpenAIChatCompletionClient`.
-
-Examples that do **not** get separate bits: exact session id or persisted history
-file path; exact shell command, workdir, timeout, or output cap; exact MCP server
-command, URL, or tool names from the server; exact workflow graph shape or edge
-count; model/deployment names, prompts, tool arguments, payloads.
-
-Rough estimate: Python ~110-150 bits; .NET ~85-125 bits.
-
-- Good, useful where mode-level distinctions are decision-relevant.
-- Bad, trades simplicity for precision, increases fingerprint specificity, and
-  may exhaust or exceed 128 bits in Python.
-
-#### F4. Option / behavior flag bits
-
-The most detailed framework-owned option: bits for specific modes and behavior
-switches, still excluding customer/runtime values.
-
-Examples that get bits:
-
-- Agent streaming used vs non-streaming used.
-- `FunctionTool` `approval_mode="always_require"` vs `"never_require"`.
-- `FunctionTool` `SKIP_PARSING` / result-parser path used.
-- MCP sampling configured; MCP long-running task support used.
-- `LocalShellTool` `clean_env` / `confine_workdir`; `DockerShellTool` container
-  mode.
-
-Examples that do **not** get separate bits: function names wrapped by
-`FunctionTool`; approval rule arguments or approval decisions; MCP remote tool
-names or schemas; shell command text or policy regex patterns; prompt/message
-content, model names, URLs, tenant/user/session identifiers.
-
-Rough estimate: Python 150+ bits; .NET 120+ bits.
-
-- Good, maximum framework-owned detail.
-- Bad, exceeds or nearly exhausts 128 bits and is too detailed for v1 without a
-  concrete decision that requires it.
-
-### Registry sharing model
-
-#### H. Per-language bit lists (chosen)
-
-Each SDK owns an independent list; the decoder picks the list using the language
-already present in the UA product token.
-
-- Good, **no cross-language coordination**: each SDK numbers and evolves its
-  features independently; adding a Python feature never touches .NET numbering.
-- Good, no null placeholders for one-SDK features, no "same bit, same meaning"
-  rule, no SDK-aware decode caveats.
-- Good, decoding is trivial: language (from UA) + version -> list -> AND.
-- Neutral, two small lists to maintain instead of one (but they were going to
-  diverge anyway — the packages differ).
-
-#### I. Single shared cross-language registry
-
-- Good, one list, one number space.
-- Bad, forces synchronized numbering and null placeholders for features that
-  exist in only one SDK, plus SDK-aware decode rules.
-- Bad, the synchronization is pure accidental complexity — **the language is
-  already in the User-Agent**, so sharing the number space buys nothing.
-
-### Registry maintenance
-
-#### J. Package-local indexes + parity/no-overlap test (chosen)
-
-- Good, each package owns private `FeatureIndex` declarations only for its own
-  rows; adding an optional-provider index does not require a core release after
-  the marker API exists.
-- Good, one repository test compares the package-local declarations with the
-  per-language table and rejects missing rows, wrong ids, out-of-range indexes,
-  and any duplicate/overlapping index.
-- Good, no build step, no generator to own.
-
-#### K. Code-generate the enums from the registry
-
-- Bad, a generator + drift test + schema test to maintain a short list of
-  integer constants; likely justified only if v1 deliberately chooses the most
-  detailed L3/L4 granularities.
-
-### Representation (how the mask is rendered as text)
-
-All examples below encode the same mask — bits 0, 2, 32, 48, 56 set
-(agent + workflow + sequential-orchestration + foundry.chat_client + openai, in
-the Python v1 list) = decimal `72339073309605893`.
-
-#### L. Decimal — `feat=v1.72339073309605893`
-
-- Good, human-familiar; trivial to parse.
-- Neutral, no visual alignment to four-bit groups; slightly longer than hex for
-  large masks. No advantage over hex.
-
-#### M. Hex (chosen) — `feat=v1.101000100000005`
-
-- Good, compact (≤32 chars for a 128-bit mask).
-- Good, decodes with one stdlib call in every language (`int(x, 16)` /
-  two 64-bit lane parses in .NET); each hex character corresponds to four
-  consecutive bit positions.
-- Good, lowercase, no `0x` prefix, no leading zeros — unambiguous and stable.
-
-A grouped variant such as `feat=v1.101.0001.0000.0005` was also considered.
-Separators make the value longer and must be removed before `int(x, 16)` can
-parse it, while the ordinary hex digits already preserve fixed four-bit groups.
-
-#### N. Binary — `feat=v1.100000001000000000000000100000000000000000000000000000101`
-
-- Good, directly shows every zero/one position.
-- Bad, grows to 128 payload characters and is difficult to scan reliably.
-
-#### O. Bit-list — `feat=v1.0,2,32,48,56`
-
-- Good, most directly human-readable ("which bits").
-- Bad, needs delimiter handling and grows with the number of set bits; a full
-  128-bit list is substantially larger than every fixed-width representation.
-
-#### P. Alphabet / base-N (e.g. Crockford base32 `feat=v1.208004000005`, base62 `feat=v1.5LJRx1i6xJ`)
-
-- Good, shortest representation.
-- Bad, needs a custom alphabet + decode table on both ends; base62 is
-  case-sensitive (fragile through case-normalizing intermediaries); not
-  directly readable. Premature optimization for a value that is already ≤32
-  chars in hex.
-
-All forms are ASCII. The table shows total bytes added to the existing
-User-Agent, including the leading space and `(feat=v1.)` wrapper:
-
-| Representation | Example (5 bits) | All current Python rows (63) | All current .NET rows (52) | Full 128-bit v1 |
-| --- | ---: | ---: | ---: | ---: |
-| Hex | 26 | 34 | 30 | 43 |
-| Grouped hex | 29 | 39 | 34 | 50 |
-| Decimal | 28 | 38 | 34 | 50 |
-| Binary | 68 | 100 | 86 | 139 |
-| Bit-list | 23 | 189 | 156 | 412 |
-| Crockford base32 | 23 | 29 | 26 | 37 |
-| Base62 | 21 | 26 | 24 | 33 |
-
-There is no defensible average before rollout, and the design does not depend on
-one: a process-global mask may eventually contain every assigned row. There is
-no smaller per-request bit budget because the bits are not request-scoped; the
-registry allocation tenet controls how many distinctions v1 assigns. Client
-processing is bounded by the fixed 128-bit width: marking performs one
-lock/atomic OR, and request-time stamping reads the mask, formats at most 32 hex
-characters, and replaces one User-Agent comment. It performs no registry scan,
-network call, or per-feature enable/disable bookkeeping.
-
-## Decision Outcome
-
-Chosen: **a request-time-stamped, first-party-only User-Agent `(feat=...)` token (A),
-with a 128-bit process-global monotonic accumulator (S1), per-language bit lists
-(H), package-local index enums kept honest by parity and no-overlap tests (J),
-rendered as lowercase hex (M).**
-
-This is a bounded design with enough v1 headroom. A 128-bit
-**process-global, monotonic** mask accumulates from universal
-`mark_feature_used()` calls (so it spans build/start/participation activations
-that aren't bound to any service request — the per-request set model (S2) can't);
-the token is **stamped per request** only when both the client/pipeline and the
-actual HTTPS origin are approved, so custom origins and cross-origin redirects
-cannot inherit the fingerprint; each
-SDK owns an independent bit list selected by the language already in the UA; the
-mask is rendered as hex (`feat=v1.101000100000005`). The dedicated
-`AGENT_FRAMEWORK_FEATURE_MASK_DISABLED` opt-out drops only the mask while
-keeping the base SDK identity/version User-Agent. Python's existing
-`AGENT_FRAMEWORK_USER_AGENT_DISABLED` continues to suppress its entire
-contribution, including the mask; this decision does not introduce a matching
-whole-User-Agent switch in .NET. OTel (C) is deferred — mainly because a
-broadly-emitted span attribute would leak the fingerprint into the user's
-general telemetry, against the first-party-only stance and would require
-user-side OTel setup that may still not make the data available to us — but left
-open behind the version prefix. Per-request scoping (S2), a shared registry (I),
-codegen for the initial registry (K), and the decimal/grouped-hex/binary/bit-list/
-base-N representations (L, M variant, N, O, P) are rejected as complexity or
-length the problem does not require.
-
-The remaining choice before implementation is the **v1 granularity level** among
-F0-F4. This is a point-in-time decision: adding new bits later is easier than
-removing or redefining them, because removals/redefinitions require a new
-registry version and historical decode tables. For v1, prefer the least detailed
-level that answers the known product/support questions so we do not force a v2
-shortly after launch. The refreshed candidate registry uses **63 Python indexes and
-52 .NET indexes**, leaving 65 and 76 positions respectively. That headroom supports
-normal growth; it does not waive the registry's
-[allocation tenet](../specs/feature-usage-bit-registry.md#allocation-tenet).
-
-### Consequences
-
-- Good, adds a bounded-cost usage signal with no new data flow and few moving
-  parts.
-- Good, transparent (public registry, human-decodable token) and disabled by a
-  dedicated `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED` mask-only opt-out. Python's
-  existing whole-User-Agent opt-out also suppresses the mask.
-- Good, first-party-only + request-time stamping gives a live mask and no
-  third-party fingerprint leak.
-- Good, 128 bits leaves useful v1 headroom; .NET remains lock-free by storing two
-  independently atomic 64-bit lanes; per-language lists remove all cross-language
-  sync; package-local enums avoid both codegen and provider→core release coupling.
-- Neutral, the token's reach equals eligible framework-configured first-party
-  traffic; broader per-call signal (OTel) can be added later if needed.
-- Neutral, every set bit is a repeated Boolean observation after first use;
-  request rows carrying it are not feature invocation counts.
-- Neutral, v1 granularity is intentionally a separate choice; the registry should
-  start with fewer bits unless a more detailed bit answers a concrete question.
-- Bad, each feature must add an activation mark, first-party clients need a
-  per-request destination-aware hook, and the registry validator must scan all
-  package-local index declarations.
-
-## Prior art
-
-SDK telemetry-in-the-User-Agent is well-established; this design is closest to
-AWS's, and conventional in the rest. Summary of what comparable SDKs do:
-
-| SDK | What's in the UA / headers | Usage-based? | Opt-out | Closest to ours? |
-| --- | --- | --- | --- | --- |
-| **AWS botocore** | structured UA with an `m/` token: a per-request set of **short feature codes** for features actually exercised (`WAITER`→`B`, `PAGINATOR`→`C`, retry mode, checksums, credential source, …) | **Yes** — registered at call time via `register_feature_id`, contextvar-scoped per request | `AWS_SDK_UA_APP_ID` sets app id (no opt-out for `m/`) | **Yes — direct analog** |
-| **OpenAI / Anthropic** (Stainless) | sidecar `X-Stainless-*` headers: lang, package version, OS, arch, runtime, runtime version; plus per-request `x-stainless-retry-count`, `x-stainless-read-timeout` | Mostly static identity (retry/timeout are per-request) | none | No (static identity) |
-| **Azure SDK** (`azure-core`) | `User-Agent: azsdk-python-{pkg}/{ver} Python/{pyver} ({platform})` | No | `AZURE_TELEMETRY_DISABLED` (tracing spans only, **not** the UA) | No |
-| **Google API core** | `x-goog-api-client: gl-python/… grpc/… gax/… gapic/…` | No | none | No |
-| **LangSmith** | `User-Agent: langsmith-py/{ver}`; usage lives in trace payloads | No (header) | opt-in via `LANGSMITH_TRACING_V2`/`LANGCHAIN_TRACING_V2`; `…HIDE_INPUTS/OUTPUTS` | No |
-
-Takeaways that shaped (or validate) our choices:
-
-- **AWS `m/` is the precedent for usage-based feature flags in a first-party
-  User-Agent.** It validates the core idea. Its key *difference* is the encoding:
-  AWS uses a **comma-separated set of 1–2 char short codes** (open-ended, no bit
-  coordination, but variable length), whereas we use a fixed-width **hex
-  bitmask** (compact, bounded, decode-by-AND, but needs per-language bit
-  allocation). We keep the bitmask for boundedness and trivial AND-decoding;
-  AWS's short-code set is recorded as a viable alternative if bit-position
-  coordination ever becomes painful (it would also drop the fixed 128-bit bound).
-- **A fixed-width bitmask gives bounded token size for free.** botocore must cap
-  the `m/` component at 1024 bytes and truncate at delimiter boundaries (with a
-  fallback log) precisely *because* its short-code set is unbounded. Our 128-bit
-  hex is ≤32 chars by construction — no size cap, no truncation logic.
-- **Scope is where we diverge most — and deliberately.** botocore collects
-  features into a per-request `contextvars` set that is **reset between
-  requests**, and no-ops outside a request context to prevent cross-request
-  bleed. That works because every botocore feature is exercised *inside* an AWS
-  service request. We are more general: some features are request-scoped (a chat
-  call, an MCP tool invocation) but many are **not bound to any request**
-  (workflow build/start, provider participation, hosting startup). So we use a
-  **process-global, monotonic** mask (option S1), which is the only scope that can
-  represent the non-request features. Our mask therefore intentionally "bleeds"
-  (accumulates) for the life of the process — the opposite of botocore's reset —
-  and that is the intended semantic, not the bug botocore guards against.
-- **The mechanism is private; the wire format is the contract.** botocore marks
-  its whole user-agent module private and "subject to abrupt breaking changes."
-  Same for us: the Python/.NET helpers are internal, and only the emitted token +
-  the per-language registry tables are the stable, decodable contract.
-- **First-party-only emission** is stricter than any of the above; the closest in
-  spirit is Stainless headers, which only reach the owning API. We make the
-  client/pipeline allowlist explicit (initially Foundry/Azure OpenAI) rather than
-  attempting to infer safety from arbitrary request URLs. Other Azure clients
-  join only after telemetry access is confirmed.
-- **Opt-out naming.** `AZURE_TELEMETRY_DISABLED` is the family precedent for our
-  `AGENT_FRAMEWORK_*_DISABLED` names. Separately, the cross-tool `DO_NOT_TRACK`
-  convention (honored by e.g. HuggingFace Hub) is worth considering — see Open
-  Questions.
-
-Sources: botocore [`useragent.py`](https://github.com/boto/botocore/blob/develop/botocore/useragent.py)
-(`_USERAGENT_FEATURE_MAPPINGS`, `register_feature_id`, `_build_feature_metadata`);
-openai-python [`_base_client.py` `platform_headers()`](https://github.com/openai/openai-python/blob/main/src/openai/_base_client.py);
-anthropic-sdk-python [`_base_client.py`](https://github.com/anthropics/anthropic-sdk-python/blob/main/src/anthropic/_base_client.py);
-azure-core [`_universal.py` `UserAgentPolicy`](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/azure/core/pipeline/policies/_universal.py);
-google-api-core [`client_info.py`](https://github.com/googleapis/python-api-core/blob/main/google/api_core/client_info.py);
-langsmith-sdk [`client.py`](https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/client.py) /
-[`utils.py`](https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/utils.py);
-huggingface_hub [`constants.py`](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/constants.py).
-
-## Registry versioning and migration (v1 → v2)
-
-The token carries a **per-language** version (`feat=v1.<hex>`); a version bump is
-independent for Python and .NET.
-
-- **Additive growth stays on v1 — no bump.** Allocating a new feature to a
-  reserved/unused bit is backward-compatible: an older decoder simply sees an
-  unknown bit and ignores it. Normal package growth never needs a new
-  version.
-- **A bump (v2) is required only for breaking changes:** renumbering or
-  re-partitioning existing bits, changing the *meaning* of an already-assigned
-  index, or widening beyond 128-bit. Within a version an index is **never** reused or
-  reassigned — that invariant is what lets old decoders stay correct.
-- **The draft 64→128 change is still v1.** No v1 token or enum has shipped, so
-  this pre-implementation repartition establishes the initial contract rather
-  than migrating an existing one.
-- **Mixed-version coexistence is the norm.** A fleet runs many SDK releases at
-  once, so `v1` and `v2` tokens appear simultaneously for a long time (old SDKs
-  keep emitting `v1`). The decoder keeps **every** published `(language,
-  version)` table and selects by the token's version; the `v1` table is retained
-  indefinitely for historical decode.
-- **Unknown version → do not guess.** A decoder without the `vN` table must
-  record "unknown registry version" rather than decode against an older table —
-  bit meanings may differ across versions, so mis-attribution is worse than
-  no data.
-- **Producing v2:** publish the v2 table alongside v1, update the affected
-  package-local `FeatureIndex` declarations and SDK version constant, and emit
-  `v2` from the release that ships them. Prefer staying on v1 (additive) and
-  reserving a clean v2 for an eventual deliberate re-partition.
-
-## Limitations
-
-| Limitation | Caused by (choice) | Why we accepted it |
-| --- | --- | --- |
-| **No signal for self-hosted or third-party-only traffic.** If a process never calls Azure/Foundry, we see nothing. | First-party-only emission (A) | We can't read third-party logs anyway, and must not leak a fingerprint into them. Reach traded for privacy. |
-| **Not every first-party client is stampable.** Caller-supplied `AIProjectClient` / OpenAI clients and toolkit-owned clients may not expose a supported per-request policy hook. | Supported-hook-only emission (A) | V1 does not mutate caller-owned clients or private SDK pipelines. Those features may still appear on another eligible request from the same process-global mask. |
-| **Custom origins intentionally receive no feature token.** A customer gateway may use Azure credentials or Azure-named settings but route to a non-approved origin. | Two-factor destination classification (A) | Credentials and configuration names are not proof of telemetry ownership. Unknown/custom origins and cross-origin redirects are denied by default. |
-| **No OTel / per-call signal in v1.** | OTel deferred (C) — primarily on **privacy** and availability grounds | A broadly-emitted span attribute would push the fingerprint into the user's general telemetry / third-party APM vendors, undoing the first-party-only scoping. It also requires customer/user OTel setup, and even Foundry users may not export data where we can query it. Left open only if there is a compelling reason to add. |
-| **Mask reflects "usage so far," not the whole session.** Early requests carry fewer bits than later ones. | Process-global accumulator + request-time stamping | Honest and still useful as a Boolean process-lifetime observation. Repeated request rows must not be summed as additional uses. Reading the mask at request time makes it *grow* rather than freeze. |
-| **No per-agent / per-call attribution.** The mask is one process-wide value — "this process used X", not "this agent/call used X". | Process-global monotonic scope (S1) | A deliberate choice, not a transport limit: botocore *does* per-call attribution in the UA via a per-request `contextvars` set, but many AF activations (workflow build/start, provider participation, hosting startup) occur outside the service request that later emits the token. Per-call detail remains deferred to OTel. |
-| **Shared processes intentionally carry usage across agents and tenants.** A request can include bits first set by another workload in the same worker. | Process-global monotonic scope (S1) | The token must be interpreted only as process-level "used so far," never as request/user/tenant attribution. Privacy review must explicitly accept this. |
-| **Bits are binary, sticky observations — not countable events.** Once set, a bit appears on every later eligible request from that process, so raw request counts repeat the same observation and long-lived/high-traffic processes dominate. | Monotonic mask stamped at request time | The signal supports coarse observed-feature and co-occurrence questions only. It cannot provide first-use counts, unique-process counts, request attribution, or feature invocation frequency. |
-| **Granularity may be too coarse or too detailed.** The chosen level may miss useful distinctions or create more specificity than needed. | v1 granularity choice (F0-F4) | This is the main remaining decision. Adding bits later is easier than removing/redefining them, so v1 should lean toward fewer bits that answer known questions. |
-| **.NET snapshots span two atomic lanes.** A bit can be marked between the low/high reads, so one request may omit that just-added bit. | 128-bit width without a global lock | The mask is monotonic: the snapshot cannot invent or clear a bit, and the next request includes the addition. This matches the existing "usage so far" timing semantics. |
-| **Fingerprinting risk is reduced, not eliminated.** A feature-combination mask is still a deployment signature, and it transits intermediaries (proxies/CDNs) even when first-party-scoped. | Emitting any feature-combination value | Scope + opt-out + coarse granularity mitigate it; v1 should avoid unnecessary detailed bits. |
-
-## Open Questions (for decider discussion)
-
-These are unresolved and should be decided before implementation:
-
-1. **Which v1 granularity level (F0-F4)?** This is the primary remaining choice.
-   Adding bits later is easier than removing or redefining bits, so v1 should
-   choose the least detailed level that answers known questions and avoids a quick
-   v2.
-2. **Privacy approval for the v1 User-Agent signal.** Before implementation,
-   confirm that a transparent, opt-out, first-party-only feature-combination
-   fingerprint is acceptable, including the exact client allowlist, retention,
-   access, and permitted product queries. This is a rollout precondition.
-3. **When (if ever) to add the OTel path?** Held back mainly for **privacy** and
-   data availability: a span attribute broadcasts the fingerprint into the user's
-   general telemetry and onward to third-party APM vendors, contradicting the
-   first-party-only stance, and it requires user-side OTel setup that may not make
-   the data available to us even for Foundry users. It also carries a
-   metric-cardinality hazard. Revisit only if the User-Agent path cannot answer a
-   concrete question.
-4. **Honor the cross-tool `DO_NOT_TRACK` convention?** Several ecosystems treat
-   `DO_NOT_TRACK=1` as a universal telemetry opt-out (HuggingFace Hub honors it;
-   see [Prior art](#prior-art)). Should our mask opt-out also respect
-   `DO_NOT_TRACK` (in addition to `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED` and
-   Python's pre-existing whole-UA flag)? Cheap to add and
-   community-friendly, but it widens the opt-out surface and needs a clear
-   precedence rule. Recommend yes; confirm with the deciders.
-
-### Decided
-
-- **Dedicated opt-out flag — included.** In addition to the existing
-  Python `AGENT_FRAMEWORK_USER_AGENT_DISABLED` (drops the whole UA), v1 ships
-  `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED`, which drops **only** the feature mask
-  while keeping the base SDK identity/version User-Agent. This lets a
-  privacy-conscious user withhold the usage signal without losing the
-  support/compat value of the SDK-version header. .NET adopts the dedicated
-  mask-only flag; adding a .NET whole-User-Agent switch is outside this decision.
-- **Caller-owned clients are not modified.** V1 stamps only framework-created
-  clients or clients with a supported public policy/hook registration point. It
-  does not patch private pipelines; injected clients are an explicit coverage
-  limitation.
-- **Destination approval is explicit and redirect-aware.** An eligible pipeline
-  still emits only to a reviewed HTTPS origin. Custom origins are default-deny,
-  and the token is removed on an unapproved redirect hop.
-- **Telemetry does not replace transport defaults.** Framework-created OpenAI
-  clients use the SDK's default async HTTP client with the request hook added,
-  preserving redirect, timeout, connection-limit, and pooling behavior.
-- **Marking uses activation, not DI construction.** Operational surfaces mark on
-  first real use; a constructor marks only when construction itself exercises or
-  registers the capability.
-
-## More Information
-
-- Mechanism & API: [SPEC-004](../specs/004-feature-usage-telemetry.md)
-- Per-language bit tables, encoding, opt-out, governance: [feature-usage-bit-registry.md](../specs/feature-usage-bit-registry.md)
-- Existing accumulator pattern: `python/packages/core/agent_framework/_telemetry.py`
-- .NET emission policies: `dotnet/src/Microsoft.Agents.AI.Foundry/AgentFrameworkUserAgentPolicy.cs`,
-  `dotnet/src/Microsoft.Agents.AI.Foundry.Hosting/HostedAgentUserAgentPolicy.cs`

docs/decisions/0034-python-session-store-serialization.md

@@ -1,308 +0,0 @@
----
-status: proposed
-contact: eavanvalkenburg
-date: 2026-07-24
-deciders: eavanvalkenburg, chetantoshnival, taochenosu, moonbox3, giles17
----
-
-# Python session storage and serialization
-
-## Context and Problem Statement
-
-Python does not have a broadly shared session-store API in
-`agent-framework-core`. The alpha `agent-framework-hosting` package has a small process-local `SessionStore`, but that
-type is hosting-specific, in-memory only, and unavailable to packages such as Foundry Hosting without taking a
-dependency on the hosting helper package.
-
-The alpha implementation is a prototype, not a compatibility constraint. This decision may replace its location,
-names, method shape, and behavior if another design is preferable.
-
-The existing file-backed persistence surfaces solve narrower problems:
-
-- `FileHistoryProvider` stores conversation `Message` records, not complete `AgentSession` snapshots;
-- `FileCheckpointStorage` stores workflow checkpoints; and
-- the Responses provider stores protocol history, but not Agent Framework runtime state carried in
-  `AgentSession.state`.
-
-`AgentSession.to_dict()` / `from_dict()` already provide a dictionary snapshot shape. Session state may contain
-framework or application-defined objects, and `register_state_type` provides dynamic type restoration, but the
-registration and collision behavior is not yet strong enough to serve as a durable, cold-start persistence contract.
-
-The framework therefore needs to decide:
-
-- where a reusable in-memory and file-backed session store belongs;
-- how a complete `AgentSession` should be serialized atomically and validated;
-- how custom nested state types are registered and restored after process restart; and
-- how to provide the required readable JSON format while leaving room for an optional optimized binary format.
-
-## Decision Drivers
-
-### Session-store ownership and API
-
-- Make session storage reusable by core, hosting, and provider packages without creating dependency cycles.
-- Keep the smallest public API that supports in-memory use, durable implementations, and application-defined stores.
-- Define the minimum async operations required for lookup, replacement, and deletion.
-- Decide explicitly whether reads return shared instances or independent snapshots suitable for branching.
-- Simpler is better
-
-### Serialization and type restoration
-
-- Provide readable JSON serialization as a required capability.
-- Treat an optimized binary format as a nice-to-have only when the chosen JSON implementation supports it without a
-  separate state model or substantial additional complexity.
-- Perform one typed encode and decode operation per file write/read.
-- Preserve dynamic registration of nested state types by the provider modules that own them.
-- Fail before persistence when an object cannot be restored after a cold start.
-- Keep the existing serialized `{"type": "<id>", ...}` representation compatible.
-
-## Decision 1: Session-store ownership and API shape
-
-### Keep `SessionStore` in `agent-framework-hosting`
-
-- Good: keeps the abstraction local to app-owned hosting scenarios.
-- Bad: Foundry Hosting and other packages cannot reuse it without depending on the hosting helper package.
-- Bad: a generic session snapshot store is not inherently or only a web-hosting concern.
-- Bad: durable implementations would either be duplicated or placed in an unrelated package.
-
-### Add an abstract store plus separate in-memory and file implementations
-
-For example, define a `SessionStore` protocol/ABC with `InMemorySessionStore` and `FileSessionStore`.
-
-- Good: clearly separates the contract from implementations.
-- Good: implementation names state their storage behavior explicitly.
-- Neutral: follows a familiar repository/adapter pattern.
-- Bad: introduces an additional public type and rename for a three-method experimental API.
-- Bad: callers must choose an implementation even for the default in-memory case.
-- Bad: the abstraction adds little value while every implementation still needs the same method overrides.
-
-### Move the concrete store to core and use it as the overridable base
-
-Move `SessionStore` to `agent-framework-core`, retain its in-memory behavior, and implement `FileSessionStore` by
-overriding the same async methods.
-
-- Good: one public type is both the useful default and the extension point.
-- Good: existing custom stores can continue subclassing and overriding `get` / `set` / `delete`.
-- Good: core and provider packages can share the API without depending on hosting helpers.
-- Good: `FileSessionStore` remains a focused subclass while the base stays free of file-system concerns.
-- Bad: the class name does not explicitly say "in memory" when used without overrides.
-
-## Decision 2: Serialization and type restoration
-
-Once a file-backed store exists, it needs an on-disk format and a reliable way to reconstruct the complete
-`AgentSession`, including nested framework and application-defined state. Serialization belongs to each durable store
-implementation rather than the `SessionStore` API: the default in-memory store does not serialize, and custom stores
-remain free to choose another protocol.
-
-The alternatives below compare top-level snapshot validation, JSON encoding/decoding cost, and how each option
-interacts with the dynamic custom-state registry. Binary storage is not a primary selection criterion.
-
-### Considered options
-
-The standard-library and optimized-JSON options are not mutually exclusive. A store can default to `json` while
-accepting caller-supplied `dumps` / `loads` callables for `orjson` or another compatible implementation. This is the
-pre-msgspec `FileHistoryProvider` design; those hooks remain only as a deprecated compatibility path.
-
-### Standard library `json`
-
-- Good: no additional dependency and familiar readable output.
-- Good: accepts the existing dictionary snapshots without a schema.
-- Good: can remain the fallback/default behind pluggable `dumps` / `loads`.
-- Neutral: custom state restoration still requires the framework registry.
-- Bad: slower encoding and decoding than optimized native implementations.
-- Bad: provides no typed snapshot validation during file reads.
-
-### Optimized drop-in JSON libraries such as `orjson`
-
-- Good: substantially faster JSON encoding and decoding than the standard library.
-- Good: can preserve the existing dictionary-oriented snapshot and custom `dumps` / `loads` shape.
-- Good: can be an opt-in codec without making the optimized package a framework dependency.
-- Neutral: returns bytes when encoding, which the file stores can already handle.
-- Neutral: custom state restoration still requires the framework registry.
-- Bad: remains an untyped top-level decode; the framework must separately validate the session snapshot shape.
-- Bad: choosing one drop-in implementation as a core dependency adds a dependency without providing typed construction.
-
-### Pydantic `model_dump` / `model_validate`
-
-- Good: Pydantic is already a core dependency.
-- Good: a typed session snapshot model can validate top-level fields and provide `model_dump_json` /
-  `model_validate_json` for file serialization.
-- Good: validation errors include useful field paths.
-- Neutral: the dynamic `state` field remains `dict[str, Any]`, so custom nested state restoration still requires the
-  framework registry.
-- Neutral: the public `AgentSession` does not need to become a Pydantic model; an internal snapshot model can bridge it.
-- Bad: benchmarked encode/decode includes model construction and dumping overhead on every operation.
-- Bad: core dependency on Pydantic run the risk of us not being able to use different versions or users of the framework being unable to upgrade or having additional extra code dealing with major version bumps in Pydantic.
-
-### msgspec typed/tagged unions only
-
-- Good: msgspec owns validation and reconstruction end to end.
-- Neutral: works well for a closed set of framework-owned `msgspec.Struct` types.
-- Bad: every external type must be known when the decoder schema is constructed; dynamic registration is lost.
-
-### msgspec codecs plus an explicit dynamic registry
-
-- Good: one typed file encode/decode and dynamic nested custom types.
-- Good: it satisfies the required readable JSON format.
-- Neutral: the same typed snapshot can also support optional MessagePack as a low-cost implementation detail.
-- Good: the registry can enforce stable IDs, codec completeness, and collision handling.
-- Neutral: a single state-payload hook still recursively applies registry codecs.
-- Bad: msgspec cannot infer dynamic types from JSON without the framework's type tags.
-
-## Benchmark Evidence
-
-A benchmark using a large `AgentSession` with 2,000 `Message` objects stored through
-`InMemoryHistoryProvider`, nested standard dictionaries, registered custom classes, and registered Pydantic models
-measured the complete `AgentSession.to_dict()` / codec / `AgentSession.from_dict()` path.
-The reproducible harness is
-[`python/scripts/session_serialization_benchmark.py`](../../python/scripts/session_serialization_benchmark.py):
-
-```bash
-cd python
-uv run --with orjson python scripts/session_serialization_benchmark.py
-```
-
-| Codec | File size | Encode median (ms) | Decode median (ms) | Round-trip median (ms) | Disk round-trip median (ms) |
-| --- | ---: | ---: | ---: | ---: | ---: |
-| Standard library JSON | 1.57 MiB | 33.503 | 14.316 | 55.261 | 75.226 |
-| orjson | 1.57 MiB | 25.808 | 11.754 | 39.398 | 63.319 |
-| Pydantic JSON | 1.57 MiB | 28.330 | 18.344 | 53.522 | 77.096 |
-| msgspec JSON | 1.57 MiB | 26.019 | 11.379 | **38.060** | 62.230 |
-| msgspec MessagePack | **1.45 MiB** | **25.134** | **11.201** | 38.512 | **58.112** |
-
-The JSON encodings produced the same 1.57 MiB file size. msgspec JSON had the best median JSON round-trip latency,
-slightly ahead of orjson, while also supporting typed top-level decoding. Pydantic validation added measurable decode
-and disk-round-trip overhead without eliminating the dynamic state registry.
-
-MessagePack reduced file size to 92.2% of JSON (about 7.8% smaller) and produced the best encode, decode, and disk
-round-trip medians. Its in-memory round-trip median was effectively tied with msgspec JSON. This supports offering it
-as a nice-to-have, but it is not required to justify choosing msgspec for JSON.
-
-These results are workload- and machine-dependent. The small differences between optimized JSON implementations are
-not the basis for the architectural choice. The benchmark instead confirms that the typed design does not impose a
-material regression for this representative payload:
-
-- use msgspec JSON as the readable default;
-- optionally offer msgspec MessagePack when storage size or disk latency matters;
-- retain the explicit registry for dynamic custom state in both formats;
-- do not add orjson solely for a small JSON performance difference without typed decoding; and
-- do not use Pydantic as the file codec when its validation overhead does not replace the registry.
-
-## Decision Outcome
-
-### Decision 1: Move the concrete overridable store to core
-
-`SessionStore` moves to `agent-framework-core` as an experimental public API. It remains a concrete in-memory store and
-the default used by `AgentState` in the `hosting` package. Its async `get`, `set`, and `delete` methods remain overridable for custom storage
-implementations.
-
-`FileSessionStore` subclasses `SessionStore` and provides durable atomic file persistence. No separate
-`InMemorySessionStore`, protocol, or ABC is introduced. `agent-framework-hosting` consumes the core type and no longer
-owns or re-exports `SessionStore` (this will be a breaking change in the `hosting` package).
-
-Actual `SessionStore` and `FileSessionStore` operations mark Python feature-usage index 17,
-`core.session_store`, following ADR-0033's use-not-presence policy. Construction and import alone do not mark the bit.
-
-`SessionStore` accepts opaque non-empty keys so custom backends can use their native key contracts. `FileSessionStore`
-accepts opaque keys up to 128 characters and encodes values that are not portable filename stems; this supports
-provider IDs such as `telegram:<bot-id>:<chat-id>` without permitting path traversal. `AgentState` remains
-storage-agnostic and passes keys through unchanged; each store implementation owns backend-specific validation or
-normalization. Protocol-specific hosts such as Foundry may still derive their own stable storage key before calling the
-store.
-
-Foundry Hosting exposes an experimental `FoundrySessionStore`, which is the
-default `ResponsesHostServer` store when hosted; local hosting defaults to the
-in-memory `SessionStore`. `FoundrySessionStore` currently subclasses
-`FileSessionStore`, stores snapshots under
-`/.sessions/<user-id>/<conversation-id-or-response-id>.json`, and derives the
-validated user partition from
-`azure.ai.agentserver.core.get_request_context()`. A Foundry session controls
-hosted compute and filesystem lifetime and may host multiple users and
-Responses conversations, so its ID is not used as the MAF session identifier.
-Stored-conversation requests read and write one snapshot under
-`conversation_id`. Response-chain requests read under `previous_response_id`
-and write the updated, loaded MAF session under the current `response_id`, which
-allows branching without overwriting the parent snapshot. Because Foundry does
-not infer `agent_session_id` from `previous_response_id`, response-chain callers
-must also reuse the prior response's hosted session ID so the request reaches
-the same persistent `$HOME`; conversation objects bind a stable hosted session
-automatically.
-The Foundry-specific type is the host configuration seam; its implementation
-may later move from files to a Foundry storage API without changing the generic
-core store contract. The session file API maps `/` to the hosted `$HOME`
-directory, so this API path is persisted on disk under `$HOME/.sessions`.
-
-### Decision 2: Use msgspec codecs plus an explicit dynamic registry
-
-Chosen option: **msgspec codecs plus an explicit dynamic registry**.
-
-`FileSessionStore` uses a typed internal `msgspec.Struct` snapshot with reusable JSON and MessagePack encoders/decoders.
-JSON is the required and default format. Because msgspec can reuse the same typed snapshot and registry hooks,
-`serialization_format="msgpack"` is also exposed as an optional compact binary convenience. The complete state
-dictionary is wrapped in one custom field; its encode/decode hooks recursively translate explicitly registered types
-to and from the existing tagged mappings in either format.
-
-The dependency range is `msgspec>=0.20.0,<0.22`: version 0.20.0 added Python 3.14 support, and the upper bound limits
-core to the tested 0.20/0.21 minor lines.
-
-Three dependency placements were considered:
-
-1. Make msgspec a standard core dependency.
-2. Make msgspec optional in core but standard in Foundry hosting.
-3. Make msgspec optional in both packages.
-
-Option 3 moves installation failures to application developers even though durable session persistence is required for
-the primary `ResponsesHostServer` API to preserve Agent Framework state. Option 2 removes that burden from Foundry
-hosting but makes core's shared `_sessions` module and public types conditionally defined or lazily imported without
-removing msgspec from the default Foundry installation. Option 1 is therefore selected: msgspec is a standard core
-dependency, giving both core file providers and Foundry hosting one predictable implementation path.
-
-Core already depends on the native `pydantic-core` extension, so native-wheel availability is not a new packaging
-constraint. The msgspec project is also actively tracking upcoming Python support; its merged
-[`Add 3.15-dev to CI` PR](https://github.com/msgspec/msgspec/pull/1037) exercises Python 3.15 development builds. This gives confidence that they will add support for new python version quickly.
-
-The public `AgentSession` remains a normal framework class. The msgspec Struct is an internal persistence DTO rather
-than the inheritance base for runtime sessions. The Struct gives persistence one typed encode/decode operation, validates
-the snapshot envelope, and carries an explicit payload version. The benchmark's small timing spread was not used to
-choose the Struct.
-
-`register_state_type` supports stable type IDs and optional codecs, rejects collisions, and provides defaults for
-`to_dict` / `from_dict` classes and Pydantic models. Type IDs share one process-wide registry, so provider packages
-should use stable package-qualified identifiers and register their own state types at module import time; consumers do
-not need to know those implementation details. One recursive serializer is shared by `AgentSession.to_dict()` and the
-durable codecs. The established implicit Pydantic registration behavior remains temporarily for compatibility, but now
-emits `DeprecationWarning`. Same-process round-trips continue to work; cold-start deserialization is not guaranteed
-without explicit provider registration. Unknown persisted type IDs remain raw dictionaries.
-
-File snapshots are quarantined only when their bytes cannot be parsed as the selected JSON or MessagePack format.
-Schema errors, unsupported snapshot versions, and registered state-decoder failures leave the original file in place so
-an application fix, rollback, or compatible reader can recover it.
-
-`FileHistoryProvider` also adds msgspec JSON as its default JSON Lines codec. It supports the same explicit
-`serialization_format="msgpack"` choice using length-prefixed append-only MessagePack records. Its existing `dumps` /
-`loads` extension points remain temporarily for JSON compatibility, emit `DeprecationWarning` when supplied, and do
-not apply to MessagePack. New code uses the built-in codecs. The default JSON reader falls back to the standard library
-for legacy JSON Lines containing `NaN` or infinity, and writes those non-finite values with the standard library so
-existing history semantics are preserved.
-
-## Follow-up Work
-
-Audit the remaining file-backed stores to determine whether they benefit from the same typed msgspec treatment and
-optional JSON / MessagePack formats. `FileCheckpointStorage` is the first candidate because it persists large,
-structured workflow state and currently uses JSON plus custom checkpoint value encoding. Its existing
-`WorkflowCheckpoint.version` field already provides a payload-shape discriminator.
-
-Checkpoint migration should be reader-first. A compatibility release can detect the codec from the first byte, widen
-the two `glob("*.json")` readers to discover future formats, and continue writing only JSON. A later release can add
-opt-in MessagePack writes while retaining JSON as the default. The payload `version` should describe the checkpoint
-shape rather than the codec, which is discoverable from the bytes. MessagePack should not become the default while
-mixed-version fleets may share one checkpoint directory: older readers silently ignore non-JSON files and could resume
-from no checkpoint instead of surfacing an incompatibility.
-
-`MemoryContextProvider` is another candidate because its file-backed path combines `MemoryFileStore` state with
-transcript files and still exposes `history_dumps` / `history_loads` passthroughs to the deprecated
-`FileHistoryProvider` codec hooks.
-
-The follow-up should measure real framework payloads before changing formats, preserve compatibility or define a clear
-migration path for existing files, and consider whether each store needs readable JSON, compact binary storage, append
-semantics, or atomic whole-file replacement. Other candidates include file-backed todo state, but each should be
-evaluated independently rather than adopting msgspec by default solely for consistency.

docs/features/durable-agents/AGENTS.md

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

docs/features/durable-agents/README.md

@@ -1,9 +1,239 @@
-# Durable Agents Have Moved
+# Durable agents
 
-Durable Task and Azure Functions integrations for Microsoft Agent Framework are now maintained in the [Durable Agent Framework extension repository](https://github.com/microsoft/agent-framework-durable-extension).
+## Overview
 
-- [.NET source](https://github.com/microsoft/agent-framework-durable-extension/tree/main/dotnet/src)
-- [.NET samples](https://github.com/microsoft/agent-framework-durable-extension/tree/main/dotnet/samples)
-- [Python source](https://github.com/microsoft/agent-framework-durable-extension/tree/main/python/packages)
-- [Python samples](https://github.com/microsoft/agent-framework-durable-extension/tree/main/python/samples)
-- [Durable agent documentation](https://github.com/microsoft/agent-framework-durable-extension/tree/main/docs/features/durable-agents)
+Durable agents extend the standard Microsoft Agent Framework with **durable state management** powered by the Durable Task framework. An ordinary Agent Framework agent runs in-process: its conversation history lives in memory and is lost when the process ends. A durable agent persists conversation history and execution state in external storage so that sessions survive process restarts, failures, and scale-out events.
+
+| Capability | Ordinary agent | Durable agent |
+| --- | --- | --- |
+| Conversation history | In-memory only | Durably persisted |
+| Failure recovery | State lost on crash | Automatically resumed |
+| Multi-instance scale-out | Not supported | Any worker can resume a session |
+| Multi-agent orchestrations | Manual coordination | Deterministic, checkpointed workflows |
+| Human-in-the-loop | Must keep process alive | Can wait days/weeks with zero compute |
+| Hosting | Any process | Console app, Azure Functions, or any Durable Task–compatible host |
+
+> [!NOTE]
+> For a step-by-step tutorial and deployment guidance, see [Azure Functions (Durable)](https://learn.microsoft.com/agent-framework/integrations/azure-functions) on Microsoft Learn.
+
+## How durable agents work
+
+Durable agents are implemented on top of [Durable Entities](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-entities) (also called "virtual actors"). Each **agent session** maps to one entity instance whose state contains the full conversation history. When you send a message to a durable agent, the following happens:
+
+1. The message is dispatched to the entity identified by an `AgentSessionId` (a composite of the agent name and a unique session key).
+2. The entity loads its persisted `DurableAgentState`, which includes the complete conversation history.
+3. The entity invokes the underlying `AIAgent` with the full conversation history, collects the response, and appends both the request and the response to the state.
+4. The updated state is persisted back to durable storage automatically.
+
+Because the entity framework serializes access to each entity instance, concurrent messages to the same session are processed one at a time, eliminating race conditions.
+
+### Agent session identity
+
+Every durable agent session is identified by an `AgentSessionId`, which has two components:
+
+- **Name** – the registered name of the agent (case-insensitive).
+- **Key** – a unique session key (case-sensitive), typically a GUID.
+
+The session ID is mapped to an underlying Durable Task entity ID with a `dafx-` prefix (e.g., `dafx-joker`). This naming convention is consistent across both .NET and Python implementations.
+
+## Architecture
+
+### .NET
+
+The .NET implementation consists of two NuGet packages:
+
+| Package | Purpose |
+| --- | --- |
+| `Microsoft.Agents.AI.DurableTask` | Core durable agent types: `DurableAIAgent`, `AgentEntity`, `DurableAgentSession`, `AgentSessionId`, `DurableAgentsOptions`, and the state model. |
+| `Microsoft.Agents.AI.Hosting.AzureFunctions` | Azure Functions hosting integration: auto-generated HTTP endpoints, MCP tool triggers, entity function triggers, and the `ConfigureDurableAgents` extension method on `FunctionsApplicationBuilder`. |
+
+Key types:
+
+- **`DurableAIAgent`** – A subclass of `AIAgent` used *inside orchestrations*. Obtained via `context.GetAgent("agentName")`, it routes `RunAsync` calls through the orchestration's entity APIs so that each call is checkpointed.
+- **`DurableAIAgentProxy`** – A subclass of `AIAgent` used *outside orchestrations* (e.g., from HTTP triggers or console apps). It signals the entity via `DurableTaskClient` and polls for the response.
+- **`AgentEntity`** – The `TaskEntity<DurableAgentState>` that hosts the real agent. It loads the registered `AIAgent` by name, wraps it in an `EntityAgentWrapper`, feeds it the full conversation history, and persists the result.
+- **`DurableAgentSession`** – An `AgentSession` subclass that carries the `AgentSessionId`.
+- **`DurableAgentsOptions`** – Builder for registering agents and configuring TTL.
+
+### Python
+
+The core Python implementation is in the `agent-framework-durabletask` package (`python/packages/durabletask`). Azure Functions hosting (including `AgentFunctionApp`) is in the separate `agent-framework-azurefunctions` package (`python/packages/azurefunctions`).
+
+Key types:
+
+- **`DurableAIAgent`** – A generic proxy (`DurableAIAgent[TaskT]`) implementing `SupportsAgentRun`. Returns a `TaskT` from `run()` — either an `AgentResponse` (client context) or a `DurableAgentTask` (orchestration context, must be `yield`ed).
+- **`DurableAIAgentWorker`** – Wraps a `TaskHubGrpcWorker` and registers agents as durable entities via `add_agent()`.
+- **`DurableAIAgentClient`** – Wraps a `TaskHubGrpcClient` for external callers. `get_agent()` returns a `DurableAIAgent[AgentResponse]`.
+- **`DurableAIAgentOrchestrationContext`** – Wraps an `OrchestrationContext` for use inside orchestrations. `get_agent()` returns a `DurableAIAgent[DurableAgentTask]`.
+- **`AgentEntity`** – Platform-agnostic agent execution logic that manages state, invokes the agent, handles streaming, and calls response callbacks.
+
+## Hosting models
+
+### Azure Functions
+
+The recommended production hosting model. A single call to `ConfigureDurableAgents` (C#) or `AgentFunctionApp` (Python) automatically:
+
+- Registers agent entities with the Durable Task worker.
+- Generates HTTP endpoints at `/api/agents/{agentName}/run` for each registered agent.
+- Supports `thread_id` query parameter / JSON field and the `x-ms-thread-id` response header for session continuity.
+- Supports fire-and-forget via the `x-ms-wait-for-response: false` header (returns HTTP 202).
+- Optionally exposes agents as MCP tools.
+
+**C# example:**
+
+```csharp
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options => options.AddAIAgent(agent))
+    .Build();
+app.Run();
+```
+
+**Python example:**
+
+```python
+app = AgentFunctionApp(agents=[agent])
+```
+
+### Console apps / generic hosts
+
+For self-hosted or non-serverless scenarios, register durable agents via `IServiceCollection.ConfigureDurableAgents` (.NET) or `DurableAIAgentWorker` (Python) with explicit Durable Task worker and client configuration.
+
+**C# example:**
+
+```csharp
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options => options.AddAIAgent(agent),
+            workerBuilder: b => b.UseDurableTaskScheduler(connectionString),
+            clientBuilder: b => b.UseDurableTaskScheduler(connectionString));
+    })
+    .Build();
+```
+
+**Python example:**
+
+```python
+worker = DurableAIAgentWorker(TaskHubGrpcWorker(host_address="localhost:4001"))
+worker.add_agent(agent)
+worker.start()
+```
+
+## Deterministic multi-agent orchestrations
+
+Durable agents can be composed into deterministic, checkpointed workflows using Durable Task orchestrations. The orchestration framework replays orchestrator code on failure, so completed agent calls are not re-executed.
+
+### Patterns
+
+| Pattern | Description |
+| --- | --- |
+| **Sequential (chaining)** | Call agents one after another, passing outputs forward. |
+| **Parallel (fan-out/fan-in)** | Run multiple agents concurrently and aggregate results. |
+| **Conditional** | Branch orchestration logic based on structured agent output. |
+| **Human-in-the-loop** | Pause for external events (approvals, feedback) with optional timeouts. |
+
+### Using agents in orchestrations
+
+Inside an orchestration function, obtain a `DurableAIAgent` via the orchestration context. Each agent gets its own session (created with `CreateSessionAsync` / `create_session`), and you can call the same agent multiple times on the same session to maintain conversation context across sequential invocations.
+
+**C#:**
+
+```csharp
+static async Task<string> WritingOrchestration(TaskOrchestrationContext context)
+{
+    // Get a durable agent reference — works in any host (console app, Azure Functions, etc.)
+    DurableAIAgent writer = context.GetAgent("WriterAgent");
+
+    // Create a session to maintain conversation context across multiple calls
+    AgentSession session = await writer.CreateSessionAsync();
+
+    // First call: generate an initial draft
+    AgentResponse<TextResponse> draft = await writer.RunAsync<TextResponse>(
+        message: "Write a concise inspirational sentence about learning.",
+        session: session);
+
+    // Second call: refine the draft — the agent sees the full conversation history
+    AgentResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
+        message: $"Improve this further while keeping it under 25 words: {draft.Result.Text}",
+        session: session);
+
+    return refined.Result.Text;
+}
+```
+
+**Python:**
+
+```python
+def writing_orchestration(context, _):
+    agent_ctx = DurableAIAgentOrchestrationContext(context)
+
+    # Get a durable agent reference — works in any host (standalone worker, Azure Functions, etc.)
+    writer = agent_ctx.get_agent("WriterAgent")
+
+    # Create a session to maintain conversation context across multiple calls
+    session = writer.create_session()
+
+    # First call: generate an initial draft
+    draft = yield writer.run(
+        messages="Write a concise inspirational sentence about learning.",
+        session=session,
+    )
+
+    # Second call: refine the draft — the agent sees the full conversation history
+    refined = yield writer.run(
+        messages=f"Improve this further while keeping it under 25 words: {draft.text}",
+        session=session,
+    )
+
+    return refined.text
+```
+
+> [!IMPORTANT]
+> In .NET, `DurableAIAgent.RunAsync<T>` deliberately avoids `ConfigureAwait(false)` because the Durable Task Framework uses a custom synchronization context — all continuations must run on the orchestration thread.
+
+## Streaming and response callbacks
+
+Durable agents do not support true end-to-end streaming because entity operations are request/response. However, **reliable streaming** is supported via response callbacks:
+
+- **`IAgentResponseHandler`** (.NET) or **`AgentResponseCallbackProtocol`** (Python) – Implement this interface to receive streaming updates as the underlying agent generates them (e.g., push tokens to a Redis Stream for client consumption).
+- The entity still returns the complete `AgentResponse` after the stream is fully consumed.
+- Clients can reconnect and resume reading from a cursor-based stream (e.g., Redis Streams) without losing messages.
+
+See the **Reliable Streaming** samples for a complete implementation using Redis Streams.
+
+## Session TTL (Time-To-Live)
+
+Durable agent sessions support automatic cleanup via configurable TTL. See [Session TTL](durable-agents-ttl.md) for details on configuration, behavior, and best practices.
+
+## Observability
+
+When using the [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/durable-task-scheduler) as the durable backend, you get built-in observability through its dashboard:
+
+- **Conversation history** – View complete chat history for each agent session.
+- **Orchestration visualization** – See multi-agent execution flows, including parallel branches and conditional logic.
+- **Performance metrics** – Monitor agent response times, token usage, and orchestration duration.
+- **Debugging** – Trace tool invocations and external event handling.
+
+## Samples
+
+- **.NET** – [Console app samples](../../../dotnet/samples/04-hosting/DurableAgents/ConsoleApps/) and [Azure Functions samples](../../../dotnet/samples/04-hosting/DurableAgents/AzureFunctions/) covering single-agent, chaining, concurrency, conditionals, human-in-the-loop, long-running tools, MCP tool exposure, and reliable streaming.
+- **Python** – [Durable Task samples](../../../python/samples/04-hosting/durabletask/) covering single-agent, multi-agent, streaming, chaining, concurrency, conditionals, and human-in-the-loop.
+
+## Packages
+
+| Language | Package | Source |
+| --- | --- | --- |
+| .NET | `Microsoft.Agents.AI.DurableTask` | [`dotnet/src/Microsoft.Agents.AI.DurableTask`](../../../dotnet/src/Microsoft.Agents.AI.DurableTask) |
+| .NET | `Microsoft.Agents.AI.Hosting.AzureFunctions` | [`dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions`](../../../dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions) |
+| Python | `agent-framework-durabletask` | [`python/packages/durabletask`](../../../python/packages/durabletask) |
+| Python | `agent-framework-azurefunctions` | [`python/packages/azurefunctions`](../../../python/packages/azurefunctions) |
+
+## Further reading
+
+- [Azure Functions (Durable) — Microsoft Learn](https://learn.microsoft.com/agent-framework/integrations/azure-functions)
+- [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/durable-task-scheduler)
+- [Durable Entities](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-entities)
+- [Session TTL](durable-agents-ttl.md)

docs/features/durable-agents/durable-agents-ttl.md

@@ -0,0 +1,147 @@
+# Time-To-Live (TTL) for durable agent sessions
+
+## Overview
+
+The durable agents automatically maintain conversation history and state for each session. Without automatic cleanup, this state can accumulate indefinitely, consuming storage resources and increasing costs. The Time-To-Live (TTL) feature provides automatic cleanup of idle agent sessions, ensuring that sessions are automatically deleted after a period of inactivity.
+
+## What is TTL?
+
+Time-To-Live (TTL) is a configurable duration that determines how long an agent session state will be retained after its last interaction. When an agent session is idle (no messages sent to it) for longer than the TTL period, the session state is automatically deleted. Each new interaction with an agent resets the TTL timer, extending the session's lifetime.
+
+## Benefits
+
+- **Automatic cleanup**: No manual intervention required to clean up idle agent sessions
+- **Cost optimization**: Reduces storage costs by automatically removing unused session state
+- **Resource management**: Prevents unbounded growth of agent session state in storage
+- **Configurable**: Set TTL globally or per-agent type to match your application's needs
+
+## Configuration
+
+TTL can be configured at two levels:
+
+1. **Global default TTL**: Applies to all agent sessions unless overridden
+2. **Per-agent type TTL**: Overrides the global default for specific agent types
+
+Additionally, you can configure a **minimum deletion delay** that controls how frequently deletion operations are scheduled. The default value is 5 minutes, and the maximum allowed value is also 5 minutes.
+
+> [!NOTE]
+> Reducing the minimum deletion delay below 5 minutes can be useful for testing or for ensuring rapid cleanup of short-lived agent sessions. However, this can also increase the load on the system and should be used with caution.
+
+### Default values
+
+- **Default TTL**: 14 days
+- **Minimum TTL deletion delay**: 5 minutes (maximum allowed value, subject to change in future releases)
+
+### Configuration examples
+
+#### .NET
+
+```csharp
+// Configure global default TTL and minimum signal delay
+services.ConfigureDurableAgents(
+    options =>
+    {
+        // Set global default TTL to 7 days
+        options.DefaultTimeToLive = TimeSpan.FromDays(7);
+
+        // Add agents (will use global default TTL)
+        options.AddAIAgent(myAgent);
+    });
+
+// Configure per-agent TTL
+services.ConfigureDurableAgents(
+    options =>
+    {
+        options.DefaultTimeToLive = TimeSpan.FromDays(14); // Global default
+        
+        // Agent with custom TTL of 1 day
+        options.AddAIAgent(shortLivedAgent, timeToLive: TimeSpan.FromDays(1));
+        
+        // Agent with custom TTL of 90 days
+        options.AddAIAgent(longLivedAgent, timeToLive: TimeSpan.FromDays(90));
+        
+        // Agent using global default (14 days)
+        options.AddAIAgent(defaultAgent);
+    });
+
+// Disable TTL for specific agents by setting TTL to null
+services.ConfigureDurableAgents(
+    options =>
+    {
+        options.DefaultTimeToLive = TimeSpan.FromDays(14);
+        
+        // Agent with no TTL (never expires)
+        options.AddAIAgent(permanentAgent, timeToLive: null);
+    });
+```
+
+## How TTL works
+
+The following sections describe how TTL works in detail.
+
+### Expiration tracking
+
+Each agent session maintains an expiration timestamp in its internally managed state that is updated whenever the session processes a message:
+
+1. When a message is sent to an agent session, the expiration time is set to `current time + TTL`
+2. The runtime schedules a delete operation for the expiration time (subject to minimum delay constraints)
+3. When the delete operation runs, if the current time is past the expiration time, the session state is deleted. Otherwise, the delete operation is rescheduled for the next expiration time.
+
+### State deletion
+
+When an agent session expires, its entire state is deleted, including:
+
+- Conversation history
+- Any custom state data
+- Expiration timestamps
+
+After deletion, if a message is sent to the same agent session, a new session is created with a fresh conversation history.
+
+## Behavior examples
+
+The following examples illustrate how TTL works in different scenarios.
+
+### Example 1: Agent session expires after TTL
+
+1. Agent configured with 30-day TTL
+2. User sends message at Day 0 → agent session created, expiration set to Day 30
+3. No further messages sent
+4. At Day 30 → Agent session is deleted
+5. User sends message at Day 31 → New agent session created with fresh conversation history
+
+### Example 2: TTL reset on interaction
+
+1. Agent configured with 30-day TTL
+2. User sends message at Day 0 → agent session created, expiration set to Day 30
+3. User sends message at Day 15 → Expiration reset to Day 45
+4. User sends message at Day 40 → Expiration reset to Day 70
+5. Agent session remains active as long as there are regular interactions
+
+## Logging
+
+The TTL feature includes comprehensive logging to track state changes:
+
+- **Expiration time updated**: Logged when TTL expiration time is set or updated
+- **Deletion scheduled**: Logged when a deletion check signal is scheduled
+- **Deletion check**: Logged when a deletion check operation runs
+- **Session expired**: Logged when an agent session is deleted due to expiration
+- **TTL rescheduled**: Logged when a deletion signal is rescheduled
+
+These logs help monitor TTL behavior and troubleshoot any issues.
+
+## Best practices
+
+1. **Choose appropriate TTL values**: Balance between storage costs and user experience. Too short TTLs may delete active sessions, while too long TTLs may accumulate unnecessary state.
+
+2. **Use per-agent TTLs**: Different agents may have different usage patterns. Configure TTLs per-agent based on expected session lifetimes.
+
+3. **Monitor expiration logs**: Review logs to understand TTL behavior and adjust configuration as needed.
+
+4. **Test with short TTLs**: During development, use short TTLs (e.g., minutes) to verify TTL behavior without waiting for long periods.
+
+## Limitations
+
+- TTL is based on wall-clock time, not activity time. The expiration timer starts from the last message timestamp.
+- Deletion checks are durably scheduled operations and may have slight delays depending on system load.
+- Once an agent session is deleted, its conversation history cannot be recovered.
+- TTL deletion requires at least one worker to be available to process the deletion operation message.

docs/specs/002-python-hosting-channels.md

@@ -66,8 +66,6 @@ must be aligned with the helper-first model before implementation. Old vocabular
 | Package | Import surface | v1 helper-first contents |
 |---|---|---|
 | `agent-framework-hosting` | `agent_framework_hosting` | `AgentState`, `WorkflowState`, `SessionStore`, and run-argument `TypedDict`s. |
-| `agent-framework-hosting-a2a` | `agent_framework_hosting_a2a` | A2A `Message` to run conversion and Agent Framework output to A2A `Part` conversion. |
-| `agent-framework-hosting-mcp` | `agent_framework_hosting_mcp` | Agent and workflow MCP tool adapters, MCP tool arguments to run conversion, and Agent Framework output to MCP `ContentBlock` conversion. |
 | `agent-framework-hosting-responses` | `agent_framework_hosting_responses` | Responses helpers: request parsing, session id extraction, response id creation, response rendering, streaming rendering. |
 | `agent-framework-hosting-telegram` | `agent_framework_hosting_telegram` | Telegram Bot API helpers: update parsing, chat/session/command/media extraction, final rendering, and streaming edit rendering. |
 | Future protocol packages | e.g. `agent_framework_hosting_activity_protocol` | Protocol-specific helpers such as `activity_to_run(...)`, `activity_from_run(...)`, `activity_session_id(...)`, and command/media helpers when useful. |
@@ -93,7 +91,6 @@ Examples:
 
 - `responses_to_run(...)`, `responses_from_run(...)`, `responses_from_streaming_run(...)`,
   `responses_session_id(...)`;
-- `a2a_to_run(...)`, `a2a_from_run(...)`;
 - `telegram_to_run(...)`, `telegram_from_run(...)`, `telegram_from_streaming_run(...)`,
   `telegram_session_id(...)`, `telegram_command(...)`;
 - `activity_to_run(...)`, `activity_from_run(...)`, `activity_session_id(...)`, `activity_command(...)`;
@@ -181,9 +178,6 @@ The target may be:
 - `await get_target()`;
 - synchronous `target` only after a target is already available/resolved.
 
-A workflow instance permits one active run. Concurrent hosts use a factory or
-builder with `cache_target=False` to resolve a fresh instance per run.
-
 Workflow checkpointing uses Agent Framework's existing `CheckpointStorage` abstraction directly. Apps that need
 per-session workflow resume should keep an app-owned cursor such as `session_id -> checkpoint_id`. When the app uses
 file-backed cursor storage, the file-based checkpoint storage should share the same app storage root and should be
@@ -251,100 +245,6 @@ text deltas, and a completed event. The final completed payload is produced thro
 also preserves the model id observed on streaming updates when the finalized `AgentResponse` no longer carries raw model
 metadata.
 
-## `agent-framework-hosting-a2a`
-
-The A2A package provides only the conversion seam between the native A2A SDK
-and Agent Framework:
-
-- `a2a_to_run(message, *, stream=False) -> AgentRunArgs`
-- `a2a_from_run(result) -> list[a2a.types.Part]`
-
-`a2a_to_run(...)` accepts a native A2A `Message` and converts its text, URL,
-raw-byte, and structured-data parts into one Agent Framework user message.
-
-`a2a_from_run(...)` accepts an `AgentResponse`, `Message`, or
-`AgentResponseUpdate` and converts supported text, URI, and data content into
-native A2A `Part` values. This one helper is usable for both completed and
-streaming runs.
-
-The package does not provide an A2A `AgentExecutor`, application, route,
-request handler, task store, event queue, `TaskUpdater`, task-state policy,
-artifact-id policy, or session-key policy. Application code composes the two
-helpers with those native A2A SDK constructs and may use any server framework
-supported by the SDK.
-
-## `agent-framework-hosting-mcp`
-
-The MCP package provides only the conversion seam between native MCP SDK values
-and Agent Framework:
-
-- `MCPAgentTool(target, ...)`
-- `MCPWorkflowTool(target, ...)`
-- `mcp_to_run(arguments, *, argument_name="task", chat_option_arguments=()) -> AgentRunArgs`
-- `mcp_from_run(result) -> list[mcp.types.ContentBlock]`
-
-`MCPAgentTool` represents one Agent Framework agent as one native MCP tool. It
-derives the default tool name and description from the agent, accepts
-overrides for those values and the main text parameter, includes app-owned
-additional parameter schemas, and explicitly maps selected parameter schemas
-to ChatOptions. Its asynchronous `list_tools()` returns the native `Tool` list,
-and `call_tool(...)` performs conversion, agent execution, and final result
-conversion.
-
-The adapter accepts either an agent or an existing `AgentState`. With a
-configured `session_id_parameter`, it loads and stores the corresponding
-`AgentSession`. The application remains responsible for deriving and
-authorizing the session id and preventing concurrent updates to the same
-session.
-
-`MCPWorkflowTool` represents one Agent Framework workflow as one native MCP
-tool. It derives the tool name and description from the workflow and derives
-the input schema from the start executor's single declared input type.
-Object-shaped dataclass and Pydantic inputs become top-level MCP arguments;
-primitive inputs are wrapped in one configurable argument. The adapter
-validates the arguments against that type, runs the workflow, and converts
-terminal outputs to MCP content blocks.
-
-Workflow instances preserve state and reject concurrent runs. Applications
-that need independent calls should provide a `WorkflowState` factory with
-`cache_target=False`. Checkpoint restoration, human-in-the-loop responses, and
-continuation identifiers remain application-owned contracts. If a workflow
-stops to request external input, the adapter raises rather than returning an
-empty successful tool result.
-
-`mcp_to_run(...)` accepts the argument mapping from a native MCP `call_tool`
-handler. The application owns the tool schema and may select which required
-string argument contains the user request. The application should define that
-argument name once and use the same value in the native tool schema and the
-`argument_name` parameter so those two sides of the contract remain aligned.
-Applications may also expose selected ChatOptions fields in their native tool
-schema and pass those names through `chat_option_arguments`. Only explicitly
-selected names are copied to run options; the helper does not forward all MCP
-arguments or own their JSON Schema validation.
-
-MCP `tools/call` arguments are JSON-only and do not have a native multimodal
-content-block union. The package does not impose a non-standard JSON
-representation for multimodal tool arguments.
-
-`mcp_from_run(...)` accepts an `AgentResponse` or `Message`. It converts text,
-URI, image data, audio data, and other binary data into native MCP content
-blocks.
-
-Its output is specifically the content union accepted by `CallToolResult`.
-Sampling-only values such as `ToolUseContent` belong to the separate MCP
-sampling response path and are not emitted by this hosting helper.
-
-MCP `tools/call` returns one final `CallToolResult`. Streamable HTTP can carry
-multiple MCP messages and progress notifications can report operation status,
-but the protocol does not define partial tool-result content chunks.
-Experimental MCP tasks defer retrieval of the same final result. Therefore the
-conversion helpers do not expose Agent Framework streaming updates.
-
-The package does not provide an MCP `Server`, handler registration, transport, route,
-session policy, authentication, authorization, or deployment wrapper.
-Application code composes the adapters and conversion helpers with native MCP SDK constructs and
-may use stdio, streamable HTTP, or another transport supported by the SDK.
-
 ## `agent-framework-hosting-telegram`
 
 The Telegram package provides side-effect-free helpers around Telegram Bot API

docs/specs/003-dotnet-hosting-protocol-helpers.md

@@ -1,246 +0,0 @@
----
-status: accepted
-contact: rogerbarreto
-date: 2026-07-08
-deciders: rogerbarreto
-consulted: eavanvalkenburg
-informed: []
----
-
-# .NET hosting: OpenAI Responses protocol helpers and optional execution state
-
-Implements [ADR-0032](../decisions/0032-dotnet-hosting-protocol-helpers.md), which realizes the
-helper-first direction of [ADR-0027](../decisions/0027-hosting-channels.md) for .NET.
-
-## What is the goal of this feature?
-
-Let application developers expose an `AIAgent` or workflow over the OpenAI Responses protocol **while
-owning their own ASP.NET Core route, authentication, middleware, and storage**, by calling small,
-side-effect-free Agent Framework conversion helpers instead of adopting the batteries-included,
-route-owning `MapOpenAIResponses` server.
-
-Success: an application can implement a working `POST /responses` endpoint (sync + streaming) in its
-own minimal-API handler using only the public helpers plus its own auth/storage, with no dependency on
-`MapOpenAIResponses` or `IResponsesService`.
-
-## What is the problem being solved?
-
-.NET already exposes agents as the OpenAI Responses API, but only through the route-owning
-`MapOpenAIResponses`/`IResponsesService`, which also owns routing, response/conversation storage,
-streaming, and lifecycle. An application that wants its own routing (custom auth, middleware, status
-codes, durable storage, or a different framework surface) currently has no supported way to reuse the
-framework's Responses<->agent conversion. Every conversion primitive that would make this possible
-already exists in `Microsoft.Agents.AI.Hosting.OpenAI` but is `internal`.
-
-This feature un-bundles that conversion into a public, app-callable surface, and adds the minimal
-execution-state helpers an app needs for session continuity and workflow checkpoint resume.
-
-## API Changes
-
-### `Microsoft.Agents.AI.Hosting.OpenAI` (new public static facade `OpenAIResponses`)
-
-Boundary is `System.Text.Json`; the wire DTOs stay internal. All members are side-effect-free.
-
-```csharp
-namespace Microsoft.Agents.AI.Hosting.OpenAI;
-
-public static class OpenAIResponses
-{
-    // Wire -> Agent Framework run input.
-    public static OpenAIResponsesRunRequest ToAgentRunRequest(
-        JsonElement body,
-        OpenAIResponsesMapOptions? mapOptions = null);
-
-    // Agent Framework result -> Responses payload (no originating request required).
-    public static JsonElement WriteResponse(
-        AgentResponse response,
-        string responseId,
-        string? sessionId = null);
-
-    // Agent Framework stream -> Responses SSE `data:` frames.
-    public static IAsyncEnumerable<string> WriteResponseStreamAsync(
-        IAsyncEnumerable<AgentResponseUpdate> updates,
-        string responseId,
-        string? sessionId = null,
-        CancellationToken cancellationToken = default);
-
-    // Untrusted candidate continuation key: previous_response_id or conversation id (or null).
-    // Kept SEPARATE from ToAgentRunRequest so using a request-derived key is an explicit decision.
-    public static string? GetSessionId(JsonElement body);
-
-    // Mint a `resp_*` id.
-    public static string CreateResponseId();
-}
-
-// Result of ToAgentRunRequest.
-public sealed class OpenAIResponsesRunRequest
-{
-    public IList<ChatMessage> Messages { get; }
-    public AgentRunOptions? Options { get; }
-}
-```
-
-`ToAgentRunRequest` honors `OpenAIResponsesMapOptions.RunOptionsFactory` exactly as the route model
-does (by default no request setting is mapped onto the run; unsupported settings surface as a
-`NotSupportedException`). `WriteResponse`/`WriteResponseStreamAsync` reuse the existing internal
-`AgentResponseExtensions.ToResponse` / `AgentResponseUpdateExtensions.ToStreamingResponseAsync`
-converters (an internal `ToResponse` overload with an optional originating request is added so the
-facade can render without one). The streaming renderer's existing workflow-event support is preserved.
-
-### `Microsoft.Agents.AI.Hosting` (execution state, protocol-neutral)
-
-```csharp
-namespace Microsoft.Agents.AI.Hosting;
-
-public abstract class AgentSessionStore
-{
-    // ... existing members ...
-
-    // New: the one missing store operation. Virtual (not abstract) with a default that throws
-    // NotSupportedException, so existing external stores (e.g. the Foundry hosting stores) keep
-    // compiling; the in-box Hosting stores override it. In-box overrides treat deleting a missing
-    // session as a no-op.
-    public virtual ValueTask DeleteSessionAsync(
-        AIAgent agent, string conversationId, CancellationToken cancellationToken = default);
-}
-
-// Thin holder: pairs a workflow target with checkpointing + a per-session head cursor.
-public sealed class HostedWorkflowState
-{
-    // Shared-instance mode: one instance cannot be run by two runners at once, so turns run one at a time.
-    public HostedWorkflowState(Workflow workflow, CheckpointManager? checkpointManager = null);
-
-    // Factory mode: by default a fresh instance is built per run, so independent sessions run in parallel.
-    // With cacheWorkflow: true the factory is invoked once lazily and the built instance is cached and reused.
-    public HostedWorkflowState(Func<CancellationToken, ValueTask<Workflow>> workflowFactory, CheckpointManager? checkpointManager = null, bool cacheWorkflow = false);
-
-    // First turn runs forward from the start; subsequent turns restore the session's latest
-    // checkpoint and run forward with the new turn's input, then record the new head checkpoint.
-    public ValueTask<HostedWorkflowRunResult> RunOrResumeAsync(
-        string sessionId, object input, CancellationToken ct = default);
-}
-```
-
-For agents, the application uses `AgentSessionStore` directly: `GetSessionAsync(agent, id)` creates a
-session on miss and returns an independent instance per call (so concurrent calls can fork the same
-stored state — for example branching from a `previous_response_id` or managing several `conversation`
-ids side by side — without one branch observing another's in-flight mutations). The store performs no
-cross-call locking; an application that needs concurrent runs against the same id to be serialized owns
-that coordination. `SaveSessionAsync(agent, id, session)` persists post-run, including under a newly
-minted `resp_*` id when the protocol mints a new continuation id. `DeleteSessionAsync` uses the new
-store method. No agent-side holder is needed: create-on-miss already lives in the store, so a
-pass-through wrapper would only bind the `agent` argument.
-
-`HostedWorkflowState` defaults to `CheckpointManager.CreateInMemory()` and an in-memory
-`sessionId -> CheckpointInfo` cursor. Because the checkpoint store is already `sessionId`-keyed but
-`CheckpointInfo` carries no ordering, the holder remembers the head checkpoint per session so
-`RunOrResumeAsync` can resume the correct one. On subsequent turns it restores that checkpoint to
-rehydrate accumulated workflow state and then runs the workflow forward with the new turn's input,
-rather than continuing a halted run with no input (which would wait for input
-indefinitely). For agent (chat-protocol) workflows the new input is accompanied by a `TurnToken` so the
-turn is driven. When the in-memory cursor misses (a new holder or a process restart), the holder falls
-back to `CheckpointManager.GetLatestCheckpointAsync(sessionId)`, so a durable `CheckpointManager` resumes
-correctly across restarts (the default in-memory manager does not persist, so a restart starts fresh). A
-resume that produces no events is logged as a warning (possible stale checkpoint or mismatched input).
-Concurrency depends on how the holder is constructed. With a single shared workflow instance, concurrent runs
-are not supported, because a workflow instance cannot be run by two runners at once; process turns one at a
-time. With a workflow factory
-(`Func<CancellationToken, ValueTask<Workflow>>`) it builds a fresh instance per run by default, so independent
-sessions run in parallel; a resume rehydrates a fresh instance
-from the session's checkpoint in the shared store, and concurrent turns against the same session id remain the
-application's coordination responsibility. Passing `cacheWorkflow: true` instead builds the workflow once,
-lazily on first use, and reuses it (a deferred, cached target that — like the instance — cannot run concurrent
-turns). A
-streaming counterpart, `RunOrResumeStreamingAsync`, yields the turn's `WorkflowEvent`s as they occur (for
-example to render agent updates over the Responses SSE wire) and records the head checkpoint once the
-stream is fully enumerated, keeping the blocking and streaming workflow paths in lockstep.
-Because `RunOrResumeAsync`/`RunOrResumeStreamingAsync` are generic over the input type, the application
-adapts the Responses input into the workflow's start-executor input type at the call site (for example
-parsing a structured payload into a typed record), without coupling the holder to a specific wire type.
-
-## Non-goals for v1
-
-- ChatCompletions / Conversations helper surfaces (the facade is named so `OpenAIChatCompletions` can
-  follow).
-- Changing `MapOpenAIResponses` public behavior.
-- A new package or an OpenAI-SDK-typed reimplementation.
-- Durable/pluggable workflow checkpoint-cursor storage (in-memory default only for v1).
-
-## Security responsibilities (application-owned)
-
-- Authenticate the caller before using any `GetSessionId(...)` result.
-- Authorize and bind the candidate id to the authenticated principal/tenant before using it as an
-  `AgentSessionStore` key or a workflow checkpoint session id.
-- For multi-user hosts, wrap the store with `IsolationKeyScopedAgentSessionStore` (for example via
-  `UseClaimsBasedAgentIsolation(...)`), so the session namespace is scoped per principal.
-- Persist session/checkpoint state only after the run or stream has completed.
-
-## E2E Code Samples
-
-### Agent over Responses, app-owned route (non-streaming + SSE)
-
-```csharp
-var agent = /* an AIAgent */;
-AgentSessionStore sessionStore = new InMemoryAgentSessionStore(); // in-memory session store
-
-app.MapPost("/responses", async (HttpContext http, CancellationToken ct) =>
-{
-    using var doc = await JsonDocument.ParseAsync(http.Request.Body, cancellationToken: ct);
-    JsonElement body = doc.RootElement;
-
-    // App owns auth + id trust decisions.
-    string? candidate = OpenAIResponses.GetSessionId(body);
-    string sessionId = Authorize(http.User, candidate) ?? OpenAIResponses.CreateResponseId();
-
-    var run = OpenAIResponses.ToAgentRunRequest(body);
-    var session = await sessionStore.GetSessionAsync(agent, sessionId, ct);
-
-    string responseId = OpenAIResponses.CreateResponseId();
-
-    if (body.TryGetProperty("stream", out var s) && s.GetBoolean())
-    {
-        http.Response.ContentType = "text/event-stream";
-        var updates = agent.RunStreamingAsync(run.Messages, session, run.Options, ct);
-        await foreach (var frame in OpenAIResponses.WriteResponseStreamAsync(updates, responseId, sessionId, ct))
-        {
-            await http.Response.WriteAsync(frame, ct);
-            await http.Response.Body.FlushAsync(ct);
-        }
-        await sessionStore.SaveSessionAsync(agent, responseId, session, ct);
-        return Results.Empty;
-    }
-
-    var result = await agent.RunAsync(run.Messages, session, run.Options, ct);
-    await sessionStore.SaveSessionAsync(agent, responseId, session, ct);
-    return Results.Json(OpenAIResponses.WriteResponse(result, responseId, sessionId));
-});
-```
-
-### Workflow over Responses with checkpoint resume
-
-Workflow checkpoint resume requires a **stable** session key across turns. `previous_response_id` changes
-every turn, so it is not a valid checkpoint key; use the `conversation` id (constant for the conversation).
-Because `GetSessionId(...)` prefers `previous_response_id`, a workflow route reads the conversation id
-directly rather than calling `GetSessionId(...)`.
-
-```csharp
-var state = new HostedWorkflowState(workflow); // in-memory checkpoints + cursor
-
-app.MapPost("/responses", async (HttpContext http, CancellationToken ct) =>
-{
-    using var doc = await JsonDocument.ParseAsync(http.Request.Body, cancellationToken: ct);
-    JsonElement body = doc.RootElement;
-
-    // Stable, authorized checkpoint key. GetConversationId(...) reads the conversation id (string or object).
-    string sessionId = Authorize(http.User, GetConversationId(body))
-        ?? OpenAIResponses.CreateResponseId();
-
-    var run = OpenAIResponses.ToAgentRunRequest(body);
-
-    // Runs forward on first call, resumes from the session's head checkpoint thereafter.
-    var result = await state.RunOrResumeAsync(sessionId, run.Messages, ct);
-
-    return Results.Json(OpenAIResponses.WriteResponse(result.AsAgentResponse(),
-        OpenAIResponses.CreateResponseId(), sessionId));
-});
-```

docs/specs/004-feature-usage-telemetry.md

@@ -1,500 +0,0 @@
----
-status: proposed
-contact: eavanvalkenburg
-date: 2026-07-22
-deciders: eavanvalkenburg
-consulted:
-informed:
----
-
-# Feature-usage telemetry via an accumulating bitmask
-
-> Companion design for [ADR-0033](../decisions/0033-feature-usage-bitmask-user-agent.md).
-> The per-language bit tables, encoding, opt-out, and governance live in
-> [feature-usage-bit-registry.md](feature-usage-bit-registry.md). The registry
-> allocates indexes; package-local `FeatureIndex` declarations implement them.
-
-## What is the goal of this feature?
-
-Give the Agent Framework team a lightweight signal about **which framework
-features are actually exercised** at runtime (not merely installed), so we can
-prioritise investment based on real usage. We emit a single small number — a
-*feature mask* — on the User-Agent that already goes out with each request.
-
-**Reach is deliberately bounded.** The mask accumulates from *all* feature usage,
-but the `feat=` token is only stamped through an explicit allowlist of
-**first-party Azure/Foundry client pipelines** whose User-Agent telemetry the
-team can ingest (initially Foundry/Azure OpenAI). We do **not** send the token to
-third-party providers (OpenAI direct, Anthropic, Bedrock, Gemini, Ollama,
-Mistral), or to an Azure service merely because its hostname is first-party;
-doing so would leak a deployment fingerprint into logs we cannot read (see
-[Emission](#emission)).
-
-The current candidate uses package-level bits plus selected major capabilities:
-one bit per orchestration pattern (sequential / concurrent / group-chat /
-magentic / handoff), **one bit per built-in context/history provider**, selected
-skill source types, and separate Foundry chat/agent/memory/evals/toolbox bits
-(plus embedding in Python).
-See the
-[registry](feature-usage-bit-registry.md). ADR-0033 still leaves final v1
-granularity open. The refreshed candidate assigns 63 Python indexes and 52 .NET
-indexes. V1 uses 128 bits, leaving 65 Python and 76 .NET positions for additive
-growth.
-
-Success metric: within one release after rollout, ≥80% of **eligible,
-framework-created** first-party (Foundry) requests carry a **non-empty** feature
-token whose mask reflects features activated **after** client construction (i.e.
-the token is live, not frozen — see the request-time stamping requirement
-below). This measures transport coverage, not feature invocation volume.
-Secondary: ability to describe which process-lifetime feature bits are observed
-together in eligible traffic (e.g. "requests observed from processes that have
-used workflows"). Repeated requests carrying a bit are not additional uses.
-
-This is done **transparently**: the bit registry is public, the emitted value is
-human-decodable, and a dedicated `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED`
-disables the mask while preserving the base User-Agent. Python's existing
-`AGENT_FRAMEWORK_USER_AGENT_DISABLED` continues to suppress its entire
-User-Agent contribution, mask included.
-
-## What is the problem being solved?
-
-Today we only know which packages are *installed* (from package telemetry) or
-that *some* Agent Framework call happened (the existing
-`agent-framework-python/{version}` User-Agent). We have no usage-based signal
-about feature combinations, and no way to tell that, say, a process uses
-workflows + MCP + Foundry together. Collecting this through bespoke events would
-add cost and new data flows; folding a tiny accumulating integer into telemetry
-we already send is far cheaper and easier to reason about for privacy.
-
-## Mechanism
-
-### Process-global accumulator in `core`
-
-The accumulator and its helpers live in the existing
-`agent_framework/_telemetry.py` (alongside `get_user_agent()` /
-`prepend_agent_framework_to_user_agent()`), so the User-Agent machinery stays in
-one module. It owns a process-global 128-bit accumulator. Python's arbitrary-size
-`int` stores it directly. A **dedicated**
-`AGENT_FRAMEWORK_FEATURE_MASK_DISABLED` that drops **only** the feature mask
-while keeping the base `agent-framework-python/{version}` User-Agent is
-introduced by this design. The existing Python
-`AGENT_FRAMEWORK_USER_AGENT_DISABLED` continues to drop the whole User-Agent
-contribution, mask included:
-
-```python
-# agent_framework/_telemetry.py (same module as get_user_agent)
-# IS_TELEMETRY_ENABLED already defined here (AGENT_FRAMEWORK_USER_AGENT_DISABLED)
-
-FEATURE_MASK_DISABLED_ENV_VAR = "AGENT_FRAMEWORK_FEATURE_MASK_DISABLED"
-REGISTRY_VERSION = 1
-
-_feature_mask = 0
-_feature_mask_lock = threading.Lock()
-
-
-def _feature_mask_enabled() -> bool:
-    """Mask is on unless the UA is disabled or the dedicated flag is set."""
-    if not IS_TELEMETRY_ENABLED:
-        return False
-    return os.environ.get(FEATURE_MASK_DISABLED_ENV_VAR, "false").lower() not in ("true", "1")
-
-
-def mark_feature_used(index: int) -> None:
-    """OR a feature bit into the process-global mask.
-
-    Called the first time a feature is exercised. Cheap and idempotent;
-    a no-op when the feature mask is disabled.
-    """
-    global _feature_mask
-    if not _feature_mask_enabled():
-        return
-    if not 0 <= index < 128:
-        raise ValueError(f"Feature index must be in range 0..127, got {index}")
-    with _feature_mask_lock:
-        _feature_mask |= 1 << index
-
-
-def get_feature_token() -> str | None:
-    """Return ``v<version>.<hex_mask>`` for the accumulated mask, or None."""
-    if not _feature_mask_enabled() or _feature_mask == 0:
-        return None
-    return f"v{REGISTRY_VERSION}.{_feature_mask:x}"
-```
-
-- **Per package/feature, usage-based:** `mark_feature_used()` is called at the
-  feature's first meaningful activation, never at import/install time. For
-  operational clients, tools, providers, and hosts, activation is the first
-  public operation that exercises the capability. Construction is a valid mark
-  point only when construction itself performs the capability (for example,
-  registering/starting runtime resources), not merely because a DI container
-  instantiated an otherwise-unused object.
-- **Process-global and monotonic — intentionally never reset.** Unlike a
-  per-request scheme (e.g. botocore's `contextvars` feature set that resets
-  between calls), our mask spans the whole process because many features are not
-  bound to any service request — an agent or workflow may first run, a provider
-  may first participate in a session, and a host may start serving independently
-  of the later request that emits the token. The single global
-  mask is the only scope that can represent them, and its monotonic "usage so
-  far" growth is the intended semantic, not a bleed bug. Concurrency-safe via the
-  module lock (Python) / two atomic 64-bit lanes in .NET.
-- **Binary and non-countable.** A set bit means "this feature was observed at
-  least once in this process before this request." Repeating that bit on every
-  later eligible request does not represent additional uses and must not be
-  interpreted as request, invocation, agent, user, or tenant counts.
-- **No scoped enable/disable bookkeeping.** Making the mask exact per operation
-  would add hot-path state changes, context propagation, and reset/error-path
-  handling. It would also produce a more detailed behavioral trace and therefore
-  increase privacy sensitivity. V1 deliberately keeps the coarser process-level
-  Boolean.
-- **Token is safe by construction.** The emitted value is `v{int}.{hex}` —
-  characters limited to `[0-9a-fv.]` — so no header-injection sanitization is
-  required. A 128-bit mask is at most 32 hex characters (contrast botocore,
-  which must sanitize and cap arbitrary component strings).
-- **Private API.** `mark_feature_used`, `get_feature_token`, `apply_feature_token`
-  and the mask itself are internal helpers; only the emitted token and the
-  per-language registry tables are the stable, decodable contract.
-- **No import cycles:** the accumulator lives in core, while each package owns
-  private index constants for its own features and calls the core marker. Core
-  never imports optional packages.
-
-### Interpretation contract
-
-At time 1, Agent A in a worker can use MCP and a Foundry chat client. At time 2,
-Agent B in the same worker can make a normal Foundry chat call without MCP. The
-time-2 request still carries the MCP bit because MCP was observed earlier in the
-process.
-
-That request means only "this process has used MCP." It does not mean Agent B
-used MCP, that MCP was used on the time-2 request, or that two requests carrying
-the bit equal two MCP uses. Without a separate stable process identifier, the
-signal also cannot produce unique-process counts. Supported analysis is limited
-to coarse observed-feature prevalence and feature co-occurrence, with the
-request-weighting limitation called out explicitly.
-
-### Bit constants
-
-The registry is the allocation authority. Each package defines a private,
-hand-written `FeatureIndex` IntEnum (or equivalent constants) containing only
-the rows it owns. Core owns core indexes plus the accumulator; optional packages
-can allocate and ship new indexes without requiring a core release after the
-marker API exists.
-
-```python
-# agent_framework_foundry/_feature_usage.py
-from enum import IntEnum
-
-from agent_framework._telemetry import mark_feature_used  # pyright: ignore[reportAttributeAccessIssue]
-
-
-class FeatureIndex(IntEnum):
-    FOUNDRY_CHAT_CLIENT = 48
-
-
-class RawFoundryChatClient:
-    async def _send_request(self) -> None:
-        mark_feature_used(FeatureIndex.FOUNDRY_CHAT_CLIENT)
-        ...
-```
-
-A repository validation test reads every package-local declaration and the
-matching language/version table. It fails when an index is out of range, missing
-from the registry, duplicated/overlapping across packages, or mapped to the wrong
-id. For reference, in v1 `FoundryChatClient` → index 48,
-`FoundryAgent` → index 49, Foundry memory → index 50.
-
-### Usage activation points
-
-- **Clients/embeddings/evals:** first outbound operation.
-- **Tools/MCP:** first connection, discovery, or invocation that exercises the
-  tool surface.
-- **Context/history providers:** first provider hook or load/save operation, not
-  constructor-only registration.
-- **Agents/workflows/orchestrations:** first run/build/start operation that
-  activates the defined runtime.
-- **Hosting:** first serve/start/route activation.
-- **Constructor marking:** allowed only when construction itself performs one of
-  those activations or acquires/registers the runtime resource.
-
-## Emission
-
-**One path in v1: the User-Agent `feat=` token, stamped at request time on an
-explicit allowlist of first-party Azure/Foundry client pipelines only.**
-
-Marking (`mark_feature_used`) is **universal** — every feature sets its index
-regardless of provider. Only **emission** is scoped. A user who never calls a
-first-party endpoint emits no token; this is the honest, intended behaviour (no
-third-party leakage, no signal we couldn't read anyway).
-
-The existing base User-Agent behavior (`agent-framework-python/{version}` plus
-any dynamically detected hosting prefix) is unchanged; packages continue using
-their current `default_headers`, `user_agent`, suffix, or policy mechanisms.
-`get_user_agent()` stays base-only (no `feat=`). The `feat=` token is
-**separate**, added **only** by eligible Azure/Foundry clients, and
-**re-evaluated on each request** so it reflects the mask accumulated so far. A
-helper stamps it:
-
-This request-time read does not make the signal request-scoped. The payload
-remains the process-global Boolean history described above.
-
-```python
-# agent_framework/_telemetry.py
-def apply_feature_token(user_agent: str) -> str:
-    """Append/refresh the live ``(feat=v<ver>.<hex>)`` comment on a UA string.
-
-    Re-reads the current mask on every call, so newly accumulated bits are
-    reflected immediately. Idempotent: replaces an existing ``(feat=...)``
-    comment rather than appending a second.
-    """
-    token = get_feature_token()  # None when disabled or mask == 0
-    base = _strip_feature_comment(user_agent)
-    return f"{base} (feat={token})" if token else base
-```
-
-Emission requires **both**:
-
-1. an explicitly approved framework client/pipeline family; and
-2. the actual request's normalized HTTPS origin matching that family's reviewed
-   first-party origin allowlist.
-
-Credentials, `use_azure`, or an Azure-named setting alone do not approve a
-destination. Approval depends on the **resolved origin**: customer-specific
-subdomains on reviewed Azure/Foundry suffixes remain eligible even when supplied
-through `base_url` / `AZURE_OPENAI_BASE_URL`, while customer gateways and unknown
-OpenAI-compatible origins are denied by default. The check runs on every actual
-request, including redirect hops; a cross-origin or otherwise unapproved redirect
-removes `(feat=...)` before sending.
-
-Eligible first-party clients install a **request hook** that performs this
-classification and calls `apply_feature_token()`:
-
-- **OpenAI-SDK clients created by Agent Framework**: construct the underlying
-  client with
-  `http_client=DefaultAsyncHttpxClient(event_hooks={"request": [_stamp_feat_hook]})`.
-  Using OpenAI's `DefaultAsyncHttpxClient` preserves the SDK's redirect,
-  connection-limit, and timeout defaults; a plain `httpx.AsyncClient` must not
-  replace them. The hook adds or removes the token based on the approved pipeline
-  plus actual-origin classification. Caller-supplied clients/transports are not
-  replaced or patched.
-- **azure-core pipeline clients**: start with `AIProjectClient` paths whose
-  telemetry is confirmed ingestible. When Agent Framework constructs/configures
-  an approved pipeline, add a separate per-call `SansIOHTTPPolicy` whose
-  `on_request` performs the same actual-origin check and calls
-  `apply_feature_token()` on
-  `request.http_request.headers["User-Agent"]`. Do not stamp `SearchClient`,
-  `CosmosClient`, or another Azure client merely because it is first-party; add
-  it to the allowlist only after confirming the data path. This mirrors .NET's
-  request-time `PipelinePolicy` exactly.
-
-This fixes the frozen-at-construction problem: the token is materialised at
-**send time**, not client-init time, so it carries features activated after the
-client was created. It also confines the token to first-party endpoints. Caller-owned
-clients are not patched, and toolkit-owned clients without a supported public
-hook are outside v1 coverage.
-
-Encoding uses the RFC 7231 **comment** form `(feat=v1.<hex>)` (metadata, not a
-product token), placed after the agent-framework product token, e.g.:
-
-```text
-foundry-hosting/agent-framework-python/1.2.3 (feat=v1.2a)
-```
-
-### OpenTelemetry — not in v1
-
-An OTel span attribute carrying the same value was considered but **deferred —
-primarily for privacy, not complexity**. Unlike the first-party-only UA token, a
-span attribute broadcasts the feature-combination fingerprint into the user's
-**general** telemetry pipeline, which is commonly exported to third-party APM
-vendors (Datadog, Honeycomb, …) — re-introducing exactly the leakage the
-first-party scoping was chosen to avoid. (It also carries a cardinality footgun:
-a monotonically-growing, combinatorial value must never become a metric
-dimension.) The version prefix leaves the door open to add it later **if** the
-User-Agent path cannot answer a concrete query and there is an acceptable
-scoped/redacted variant; v1 ships the UA path only. See
-[ADR-0033 → option C](../decisions/0033-feature-usage-bitmask-user-agent.md#considered-options).
-
-## API Changes
-
-New **internal cross-package** surface in
-`agent_framework._telemetry` (not exported from `agent_framework`):
-
-- `mark_feature_used(index: int) -> None`
-- `get_feature_token() -> str | None` — returns `v<ver>.<hex>` or `None`.
-- `apply_feature_token(user_agent: str) -> str` — live, idempotent UA stamper
-  used by first-party request hooks.
-- `FEATURE_MASK_DISABLED_ENV_VAR` constant — the dedicated mask-only opt-out env
-  var name (`AGENT_FRAMEWORK_FEATURE_MASK_DISABLED`).
-
-Each package also adds a private package-local `FeatureIndex` declaration for
-the rows it owns. The dedicated mask-only opt-out and Python's existing
-whole-User-Agent opt-out gate the Python mask; see [Opt-out](#opt-out).
-
-Behavioural change to existing API:
-
-- `get_user_agent()` / `prepend_agent_framework_to_user_agent()` are
-  **unchanged** — they keep returning the base UA with no `feat=` token. The
-  token is added only by first-party request hooks via
-  `apply_feature_token()`.
-
-No breaking changes: when the mask is empty or disabled, for any non-first-party
-client, or for an injected client outside the supported-hook set, output is
-byte-for-byte identical to today.
-
-## Opt-out
-
-The dedicated mask-only opt-out is shared by both SDKs. Python also retains its
-pre-existing whole-User-Agent opt-out:
-
-| Env var | SDKs | Effect |
-| --- | --- | --- |
-| `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED` | Python and .NET | disables **only** the feature mask; the base `agent-framework-<lang>/{version}` User-Agent is still sent |
-| `AGENT_FRAMEWORK_USER_AGENT_DISABLED` | Python (existing behavior) | disables the **entire** Python AF User-Agent contribution, mask included |
-
-The flags accept `true`/`1` (case-insensitive). The dedicated flag lets a
-privacy-conscious user keep contributing the SDK identity/version (useful for
-support and compat triage) while withholding the feature-usage signal. The mask
-is also disabled implicitly whenever Python's whole User-Agent is disabled. A
-new whole-User-Agent opt-out for .NET is outside this design.
-
-## E2E example
-
-```python
-from agent_framework import Agent
-from agent_framework_foundry import FoundryChatClient
-from agent_framework_openai import OpenAIChatClient
-
-# First-party (Foundry) client: request hook stamps the live feat token.
-agent = Agent(client=FoundryChatClient(...), instructions="...")
-# Agent use marks bit 0; FoundryChatClient marks bit 48
-await agent.run("Hello")
-# Outgoing request to Foundry carries:
-#   User-Agent: agent-framework-python/1.2.3 (feat=v1.<mask-at-send-time>)
-
-# Third-party client: NO feat token is added (no first-party hook).
-other = Agent(client=OpenAIChatClient(...), instructions="...")
-await other.run("Hi")
-# Outgoing request to OpenAI carries only:
-#   User-Agent: agent-framework-python/1.2.3
-```
-
-Drop only the feature mask (keep the base User-Agent):
-
-```bash
-AGENT_FRAMEWORK_FEATURE_MASK_DISABLED=true python app.py
-# Foundry request User-Agent: agent-framework-python/1.2.3   (no (feat=...) comment)
-```
-
-Python only: use the existing flag to drop its entire User-Agent contribution
-(mask included):
-
-```bash
-AGENT_FRAMEWORK_USER_AGENT_DISABLED=true python app.py
-```
-
-## .NET mapping
-
-- Core owns `FeatureUsage.MarkUsed(int index)` plus the core package's private
-  index declaration. Each optional assembly owns a private `FeatureIndex` enum
-  containing only its allocated rows. These are index positions `0..127`, not
-  `[Flags]` values; `MarkUsed` performs the shift.
-- Store the 128-bit mask as **two `long` lanes** (`low` for bits 0–63, `high`
-  for 64–127). Marking touches one lane with `Interlocked.Or` where available
-  and a small `Interlocked.CompareExchange` loop on `netstandard2.0` / `net472`.
-  Read each lane atomically. Since bits only move from zero to one, a concurrent
-  two-lane snapshot may miss a just-added bit but can never invent or clear one;
-  the next request includes it.
-- Format without depending on `UInt128`: if `high == 0`, emit `low` as lowercase
-  hex; otherwise emit `high` without leading zeros followed by `low:x16`. Cast
-  each signed lane to `ulong` before formatting so bits 63 and 127 are preserved.
-  Reject indexes outside `0..127`.
-- **Emission is stamped at request time and first-party-scoped**, matching
-  Python. The
-  existing `AgentFrameworkUserAgentPolicy` / `HostedAgentUserAgentPolicy`
-  pipeline policies already run per request — extend them to apply the same
-  approved-pipeline + actual-origin classifier, append/refresh the `(feat=...)`
-  comment only for approved destinations, and remove it on unapproved redirect
-  hops. Do not register it on third-party `IChatClient`s.
-- Same **wire format** (`v<version>.<hex>` comment, hex encoding) and the same
-  dedicated mask-only opt-out (`AGENT_FRAMEWORK_FEATURE_MASK_DISABLED`). The
-  **mask is decoded per language**: indexes are not shared, so a decoder must
-  read the language from the UA product token and select that language's table
-  before decoding. (.NET's policy was already request-time, so there is no
-  Python/.NET timing asymmetry.) Adding a .NET whole-User-Agent opt-out is
-  outside this design.
-
-## Keeping the bitmap in sync
-
-[feature-usage-bit-registry.md](feature-usage-bit-registry.md) is the published
-allocation contract. Package-local `FeatureIndex` declarations are the runtime
-implementation. There is deliberately **no shared numbering across languages**
-and **no machine-readable registry file**.
-
-One repository validation test gathers every package-local declaration for one
-language/version and parses the matching Markdown table. It asserts:
-
-1. every declared index is within `0..127`;
-2. every `(index, id)` exactly matches one registry row;
-3. the union of declarations has no duplicate/overlapping indexes;
-4. every non-reserved registry row is declared exactly once.
-
-Adding an optional-package feature therefore changes that package and the
-registry, not core. If a programmatic decoder is built later, export the table
-to JSON then.
-
-### Decoding
-
-```
-UA: agent-framework-python/1.2.3 (feat=v1.2a)
-        │                          │   └ hex mask
-        │                          └ version
-        └ language → pick the Python table (version 1)
-```
-
-Read language → pick the table; read `vN` → pick that version; `AND` the hex mask
-against each bit. Unknown bits (from a newer SDK than the decoder's copy of the
-table) are ignored.
-
-## Implementation plan (post-approval)
-
-1. **Privacy approval** — confirm the first-party-only feature-combination
-   signal, retention, access, allowed queries, and opt-out behavior before code
-   ships.
-2. **Core accumulator** — in `agent_framework/_telemetry.py` add the 128-bit
-   mask, lock, `mark_feature_used(index)`, `get_feature_token`, and
-   `apply_feature_token`; `get_user_agent()` stays base-only.
-3. **Package-local indexes + validation** — add private `FeatureIndex`
-   declarations to packages and a repository test for exact registry parity,
-   complete coverage, range, and zero overlap.
-4. **First-party request-time hooks** — use OpenAI's
-   `DefaultAsyncHttpxClient` for framework-created clients and the separate
-   azure-core `SansIOHTTPPolicy`. Require approved pipeline **and** approved
-   actual origin on every request/redirect hop. Verify custom origins and
-   cross-origin redirects never carry the token.
-5. **Mark feature usage** — call `mark_feature_used(FeatureIndex.X)` at the
-   first meaningful activation. Operational clients/providers/tools mark on
-   their first real operation; build/start points mark compositional features.
-   Constructor-only marking requires construction itself to exercise the
-   capability.
-6. **.NET parity** — package-local index enums plus the two atomic 64-bit lanes
-   with `Interlocked.Or` / compare-exchange fallback; extend existing request-time
-   Foundry UA policies through the shared destination classifier and formatter.
-7. **Docs & tests** — update package `AGENTS.md`/skills; tests for **both**
-   Python opt-out paths (dedicated mask-only and existing whole-UA), the
-   dedicated .NET mask-only opt-out, first-party scoping, and the live
-   (non-frozen) UA.
-
-## Limitations & open questions
-
-The decision-level limitations and unresolved trade-offs — reach, per-process
-(not per-call) attribution, v1 granularity, fingerprinting residue, and the OTel
-question — are owned by the ADR (the dedicated mask-only opt-out is now decided
-and included). See
-**[ADR-0033 → Limitations](../decisions/0033-feature-usage-bitmask-user-agent.md#limitations)**
-and **[Open Questions](../decisions/0033-feature-usage-bitmask-user-agent.md#open-questions-for-decider-discussion)**.
-This spec is the implementation reference; it does not re-litigate those choices.
-
-Implementation-only note:
-
-- **Per-request hook overhead is negligible** (a flag check, one Python integer
-  snapshot or two atomic .NET lane reads, and a string concat per first-party
-  request), but benchmark the hot path once if a high-QPS Foundry scenario is in
-  scope.

docs/specs/004-python-function-calling-loop.md

@@ -1,583 +0,0 @@
----
-status: proposed
-contact: eavanvalkenburg
-date: 2026-07-27
-deciders: eavanvalkenburg
----
-
-# Python function-calling loop contract and validation matrix
-
-## Scope
-
-This specification defines the required behavior and validation coverage for the Python function-calling loop.
-It covers:
-
-- normal local function execution;
-- streaming and non-streaming response aggregation;
-- tool approval request and resume;
-- approved, rejected, mixed, and replayed approval rounds;
-- reasoning content and opaque reasoning signatures bound to function calls;
-- history persistence and service-side continuation;
-- error, user-input, middleware-termination, and loop-limit paths;
-- provider and transport serialization of function calls and results.
-
-The primary implementation is in `python/packages/core/agent_framework/_tools.py`. History replay behavior in
-`python/packages/core/agent_framework/_sessions.py`, provider serializers, hosting packages, and UI transports are
-part of the same contract when they carry function-call loop content.
-
-## Change sensitivity
-
-This code is high risk. Small changes can produce duplicate side effects, orphaned calls or results, invalid
-provider histories, invisible streaming results, stale approval authority, or loops that never terminate.
-Dropping reasoning content that a service binds to a tool call can also make an otherwise balanced call/result
-transcript invalid.
-
-Any change to the function-calling loop or its approval/history/serialization paths must:
-
-1. identify every affected row in the scenario matrix below;
-2. add or update the corresponding regression tests;
-3. validate streaming updates, streaming finalization, and non-streaming output where applicable;
-4. validate both model-bound history and caller-visible responses;
-5. run the full core package tests plus every affected provider or transport package;
-6. run source typing, test typing, and syntax checks for every affected package;
-7. receive extra review focused on call/result pairing, exactly-once execution, and history replay.
-
-A passing narrow regression test is not sufficient evidence for changes in this area.
-
-### Contribution ownership
-
-Issues involving this code must not be picked up by external contributors without first checking with the Agent
-Framework core team. The core team must confirm the intended behavior, affected scenario-matrix rows, ownership
-across core/providers/transports, and the required validation scope before implementation starts.
-
-## Flow diagrams and code map
-
-### Main function-calling flow
-
-The main control flow deliberately has separate streaming and non-streaming methods. They share policy helpers, but
-their output mechanics differ: one returns an aggregated `ChatResponse`; the other yields `ChatResponseUpdate`
-items and is finalized by `ResponseStream`.
-
-The diagrams use only the generic distinction between **local tools**, which Agent Framework executes, and
-**hosted-service tools**, whose calls and approval decisions are owned by a remote service. Provider-specific wire
-formats and regression tests appear later in the scenario matrix.
-
-```mermaid
-flowchart TD
-    Entry["FunctionInvocationLayer.get_response(...)"]
-    Setup["Prepare middleware, options, session, budget state,<br/>and execute_function_calls partial"]
-    Enabled{"Function invocation enabled?"}
-    Direct["Delegate directly to super().get_response(...)"]
-    Mode{"stream?"}
-    NonStream["_get_response_with_function_invocation(...)"]
-    Stream["_stream_response_with_function_invocation(...)"]
-    Resolve["_resolve_approval_responses(...)<br/>runs once before the model-iteration loop"]
-    ApprovalAction{"approval action"}
-    Immediate["Return/yield terminal result or user-input request<br/>without another model call"]
-    ApprovalPolicy["Record approval executions;<br/>apply stop/function-call-limit policy"]
-    Model["Call super_get_response(...)<br/>response may contain reasoning + function_call"]
-    Process["_process_model_function_calls(...)"]
-    FunctionAction{"function-processing action"}
-    Execute["_execute_function_calls(...)"]
-    Try["_try_execute_function_calls(...)"]
-    Single["_execute_single_function_call(...)"]
-    Handle["_handle_function_call_results(...)"]
-    PostCallPolicy["Record executions; apply error/function-call-limit policy;<br/>reset required tool choice"]
-    Advance["_prepare_messages_for_next_iteration(...)"]
-    More{"iteration budget remains?"}
-    Final["Final model call with tool_choice = none<br/>and deterministic fallback if needed"]
-    Output["Return ChatResponse or complete ResponseStream"]
-
-    Entry --> Setup --> Enabled
-    Enabled -- no --> Direct
-    Enabled -- yes --> Mode
-    Mode -- no --> NonStream
-    Mode -- yes --> Stream
-    NonStream --> Resolve
-    Stream --> Resolve
-    Resolve --> ApprovalAction
-    ApprovalAction -- return --> Immediate --> Output
-    ApprovalAction -- stop --> ApprovalPolicy
-    ApprovalAction -- continue --> ApprovalPolicy
-    ApprovalPolicy --> More
-    Model --> Process
-    Process --> Execute --> Try --> Single --> Handle --> FunctionAction
-    FunctionAction -- return --> Output
-    FunctionAction -- stop --> PostCallPolicy
-    FunctionAction -- continue --> PostCallPolicy
-    PostCallPolicy --> Advance
-    Advance --> More
-    More -- yes --> Model
-    More -- no --> Final --> Output
-```
-
-Code-reading landmarks:
-
-- `get_response(...)` owns setup and selects the response mode.
-- `_get_response_with_function_invocation(...)` owns non-streaming aggregation.
-- `_stream_response_with_function_invocation(...)` owns streamed emission/finalization.
-- `_resolve_approval_responses(...)` handles only inbound approval decisions.
-- `_process_model_function_calls(...)` handles only calls from a completed model response.
-- `_try_execute_function_calls(...)` decides approval/declaration/execution behavior for a batch.
-- `_replace_approval_contents_with_results(...)` is the occurrence-aware approval transcript normalizer.
-- `FunctionInvocationLayer._update_function_invocation_continuation_state(...)` updates continuation state after
-  every service response. Provider layers may override it to carry provider-specific continuation metadata into
-  the next service call, but must delegate to the base implementation so generic conversation continuation remains
-  synchronized with the active `AgentSession`.
-
-### Approval pause and resume
-
-```mermaid
-sequenceDiagram
-    participant Caller
-    participant History as HistoryProvider
-    participant Layer as FunctionInvocationLayer
-    participant Tool
-    participant Model
-
-    Caller->>Layer: Initial user request
-    Layer->>Model: Messages + tools
-    Model-->>Layer: reasoning content + function_call
-    Layer->>Layer: Tool requires approval
-    Layer-->>Caller: function_call + function_approval_request
-
-    Caller->>Layer: function_approval_response
-    Layer->>Layer: Copy caller-owned messages
-    Layer->>Layer: _resolve_approval_responses(...)
-
-    alt approved
-        Layer->>Tool: Execute exactly once
-        Tool-->>Layer: result or exception
-        Layer->>Layer: Create terminal function_result
-    else rejected
-        Layer->>Layer: Create synthetic rejection function_result
-    end
-
-    Layer-->>Caller: Terminal result message/update
-
-    alt tool requests more user input
-        Layer-->>Caller: User-input request with assistant role
-    else middleware terminates
-        Layer-->>Caller: Termination result
-    else error limit reached
-        Layer->>Model: Normalized reasoning/call/result history, tools disabled
-        Model-->>Layer: Final assistant response
-        Layer-->>Caller: Final assistant response
-    else continue normally
-        Layer->>Model: Normalized reasoning/call/result history
-        Model-->>Layer: Final assistant response or another function_call
-        Layer-->>Caller: Final assistant response / continued loop
-    end
-
-    Layer-->>History: Persist caller input + returned response
-    Note over History: Later model replay filters approval request/response wrappers
-```
-
-The terminal result is caller-visible in both modes. The private normalized message copy is model-visible. The
-original caller input and earlier response remain unchanged.
-
-### Reasoning-bound function-call groups
-
-Some hosted services bind reasoning content or an opaque reasoning signature to the function call that follows it.
-For those services, reasoning is not optional decoration; it is part of the provider-valid function-call group.
-
-```mermaid
-flowchart TD
-    Response["Assistant response:<br/>reasoning content + function_call"]
-    Group["One logical reasoning/function-call group"]
-    Owner{"local or hosted-service tool?"}
-    Local["Local execution"]
-    Hosted["Hosted service owns tool execution/state"]
-    Result["Terminal function_result or hosted result"]
-    Continuation{"continuation mode"}
-    Stateless["Stateless or framework-history replay"]
-    Replayable{"reasoning payload/signature<br/>is replayable?"}
-    Replay["Replay reasoning + call + result atomically"]
-    Reject["Fail before the service call;<br/>do not send a lossy transcript"]
-    Service["Hosted-service continuation"]
-    Reference["Reference service-stored reasoning/call;<br/>send only the new result or approval decision"]
-    Compact{"compaction needed?"}
-    Atomic["Keep or exclude the complete<br/>reasoning/call/result group"]
-    Caller["Caller-visible response retains reasoning<br/>with the function-call turn"]
-
-    Response --> Group --> Owner
-    Group --> Caller
-    Owner -- local --> Local --> Result
-    Owner -- hosted service --> Hosted --> Result
-    Result --> Compact
-    Compact -- yes --> Atomic --> Continuation
-    Compact -- no --> Continuation
-    Continuation -- stateless / local history --> Stateless --> Replayable
-    Replayable -- yes --> Replay
-    Replayable -- no --> Reject
-    Continuation -- service-managed --> Service --> Reference
-```
-
-The generic contract is:
-
-- reasoning content remains ordered immediately before or alongside the function call it explains;
-- a terminal result does not replace or discard the reasoning/call portion of the active group;
-- stateless replay includes the service-required reasoning payload or opaque signature;
-- if required reasoning cannot be reconstructed, the adapter fails before sending invalid or lossy history;
-- service-managed continuation may rely on the hosted service's stored reasoning/call items and send only new
-  outputs or approval decisions;
-- compaction keeps or removes the entire reasoning/call/result group atomically.
-
-In the code, core response aggregation preserves reasoning `Content` items, compaction annotations bind reasoning to
-the tool-call group, and provider adapters serialize or reconstruct the provider-specific reasoning representation.
-
-### Approval correlation, replay, and reused ids
-
-`call_id` is not globally unique forever. The normalizer therefore tracks open logical occurrences in transcript
-order instead of keeping one global result per id.
-
-```mermaid
-flowchart TD
-    Scan["Scan normalized messages in order"]
-    Kind{"content type"}
-    Call["function_call:<br/>open a call occurrence"]
-    Request["function_approval_request"]
-    Bind{"unbound call occurrence<br/>with same call_id?"}
-    BindExisting["Bind request id to existing occurrence<br/>and remove wrapper"]
-    Duplicate{"same request identity<br/>already restored?"}
-    DropDuplicate["Remove replayed duplicate wrapper"]
-    Restore["Restore embedded function_call<br/>as a new occurrence"]
-    Placeholder["function_result with APPROVAL_PENDING:<br/>attach placeholder to open occurrence"]
-    Completed["terminal function_result:<br/>close earliest open occurrence"]
-    Response["function_approval_response"]
-    Pending{"response still pending?"}
-    RemoveOld["Remove already-resolved historical response"]
-    Decision{"approved?"}
-    Approved["Pop next execution result for this call_id"]
-    Rejected["Create synthetic rejection result"]
-    HasPlaceholder{"occurrence has placeholder?"}
-    Replace["Replace placeholder and remove response wrapper"]
-    ReplaceResponse["Replace response wrapper with terminal content"]
-    Close["Close occurrence; append terminal content<br/>to resumed response"]
-    Next["Continue scan"]
-
-    Scan --> Kind
-    Kind -- function_call --> Call --> Next
-    Kind -- approval request --> Request --> Bind
-    Bind -- yes --> BindExisting --> Next
-    Bind -- no --> Duplicate
-    Duplicate -- yes --> DropDuplicate --> Next
-    Duplicate -- no --> Restore --> Next
-    Kind -- pending placeholder --> Placeholder --> Next
-    Kind -- terminal result --> Completed --> Next
-    Kind -- approval response --> Response --> Pending
-    Pending -- no --> RemoveOld --> Next
-    Pending -- yes --> Decision
-    Decision -- yes --> Approved --> HasPlaceholder
-    Decision -- no --> Rejected --> HasPlaceholder
-    HasPlaceholder -- yes --> Replace --> Close --> Next
-    HasPlaceholder -- no --> ReplaceResponse --> Close --> Next
-    Next --> Kind
-```
-
-This flow corresponds to `_ApprovalCallOccurrence`, `_collect_approval_responses(...)`, and
-`_replace_approval_contents_with_results(...)`.
-
-### History and service-side continuation
-
-```mermaid
-flowchart LR
-    Store["History backing store<br/>(may retain approval wrappers for audit)"]
-    Load{"HistoryProvider.load_messages?"}
-    Filter["_filter_approval_control_messages(...)"]
-    Context["SessionContext model history:<br/>function_call + terminal function_result"]
-    Current["Current caller input:<br/>new function_approval_response"]
-    Layer["FunctionInvocationLayer private copy"]
-    Local{"local or hosted-service approval?"}
-    LocalResult["Execute locally and normalize to function_result"]
-    Hosted["Hosted-service adapter"]
-    StoredRequest["Prior service-issued approval request"]
-    NewResponse["Current hosted approval decision"]
-    Skip["Do not replay the stored request inline"]
-    Send["Send the approval decision exactly once"]
-    Later["Later turn"]
-    Manual["Manual-history caller"]
-
-    Store --> Load
-    Load -- yes --> Filter --> Context --> Layer
-    Load -- no --> Layer
-    Current --> Layer
-    Layer --> Local
-    Local -- local --> LocalResult --> Later
-    Local -- hosted service --> Hosted
-    StoredRequest --> Hosted --> Skip
-    NewResponse --> Hosted --> Send --> Later
-    Later --> Store
-    Manual -. owns equivalent filtering .-> Layer
-```
-
-When `load_messages=False`, no history is replayed and the history filter is intentionally not invoked. Callers
-that manually replay messages own the equivalent rule: do not resend an approval response after its terminal result.
-
-## Normative contract
-
-### Function calls and results
-
-- Every actionable local `function_call` produces exactly one terminal `function_result`, unless execution pauses
-  for a new user-input request.
-- Parallel calls retain model order in the returned transcript.
-- Reused `call_id` values are correlated by logical occurrence, not one global value per id.
-- A completed function call/result pair is inert on later turns.
-- Informational-only and declaration-only calls are not executed as local tools.
-
-### Reasoning-bound calls
-
-- Reasoning content or opaque reasoning metadata that a service binds to a function call is part of the same logical
-  group as that call and its terminal result.
-- Active function loops preserve the reasoning content, function call, function result, and final assistant output
-  in caller-visible responses.
-- Framework-managed/stateless replay includes the service-required reasoning representation before the paired call.
-- Service-managed continuation may omit inline reasoning/call items only when the hosted service already owns them.
-- Missing non-reconstructable reasoning fails explicitly before a provider request instead of silently dropping the
-  content.
-- Foundry clients do not request `reasoning.encrypted_content` implicitly; callers may opt in explicitly when the
-  selected deployment supports encrypted reasoning.
-- Compaction preserves or excludes the complete reasoning/call/result group atomically.
-
-### Approval request and resume
-
-- A tool that requires approval does not execute before an approved response.
-- An approved tool executes exactly once.
-- A rejected tool executes zero times and produces one synthetic rejection `function_result` using the original
-  function `call_id`.
-- The resumed response contains the newly resolved approved and rejected terminal results before any final assistant
-  message.
-- Streaming yields the same logical result content and ordering as non-streaming output and
-  `ResponseStream.get_final_response()`.
-- The function invocation layer normalizes a private copy of caller messages. It must not mutate the caller's
-  approval `Message`, approval `Content`, or an earlier returned response.
-- Approval-time `UserInputRequiredException` and `MiddlewareTermination` return immediately without another model
-  call.
-
-### Approval control content
-
-- `function_approval_request` and `function_approval_response` are control-plane contents, not durable model
-  transcript items.
-- A current hosted approval response must be sent once on the immediate resume request.
-- AG-UI removes a local approval response from its request and snapshot replay when a terminal result belongs to an
-  already-consumed occurrence, including result-before-response replay. A client-authored result in the occurrence
-  that is still registered as pending does not prove completion: AG-UI removes that result, keeps the validated
-  response for local execution, and leaves hosted approval responses as provider protocol data.
-- Hosted AG-UI approval interrupts expose an accept/reject decision only; argument edits are rejected because the
-  hosted provider executes the server-owned request rather than client-edited arguments.
-- AG-UI tool approval resumes accept the standard `approved` decision and full-replacement `editedArgs` payload.
-  Existing MAF clients remain compatible through the `accepted` decision alias and direct partial argument edits.
-- An AG-UI `cancelled` resume is a valid terminal decision, not a run error. In a resume covering parallel open
-  interrupts, resolved siblings still execute and cancelled calls do not. An identical cancellation retry during
-  the retained terminal window also completes normally without restoring authority.
-- AG-UI Approval State capacity is enforced independently for each trusted application scope. Abandoned pending
-  authority expires after its configured window, and indeterminate execution records remain non-retryable until
-  their separate safety window permits reclamation. Reclamation never recreates approval authority.
-- A server-issued approval request must not be replayed inline during service-side continuation.
-- History providers may retain approval control contents in their backing store for audit, but base history replay
-  filters them before later model calls.
-- Callers that manually own and replay message history without a loading `HistoryProvider` must likewise omit a
-  previously submitted approval response from later continuation requests.
-
-### History and continuation
-
-- Model-bound history contains one function call/result pair per completed logical occurrence.
-- Append-only history must not replay stale approval request/response wrappers to the model.
-- Framework-managed and service-managed continuation must preserve the same logical call/result transcript.
-- A streaming response rebuilt from updates by an intermediate middleware must carry over the inner response's
-  conversation id and its internal-conversation-id marker, so framework-managed continuation appends only the latest
-  message instead of replaying a transcript the provider already holds. The rebuilt response mirrors the inner
-  conversation id exactly, including clearing it, and never retains an id emitted by an earlier service call in the
-  same turn.
-- A trusted terminal result consumes the corresponding approval authority in explicit stateless replay; a result in a
-  server-registered pending occurrence cannot consume that authority before local execution.
-
-## Scenario-to-test matrix
-
-### Normal function invocation
-
-| Scenario | Required invariant | Primary regression test |
-|---|---|---|
-| Single non-streaming call | Call, result, and final assistant message are returned in order. | `packages/core/tests/core/test_function_invocation_logic.py::test_base_client_with_function_calling` |
-| String input | Flexible string input follows the same loop behavior. | `test_base_client_with_function_calling_string_input` |
-| Multiple sequential rounds | Each round retains one call/result pair. | `test_base_client_with_function_calling_resets` |
-| Streaming call | Call chunks, one result update, and final text are emitted in order. | `test_base_client_with_streaming_function_calling` |
-| Reasoning-bound call | Finalized output retains reasoning, function call, function result, and final text. | `test_streaming_function_calling_response_includes_reasoning_and_tool_results` |
-| Calls across response messages | Every actionable call is executed once. | `test_base_client_executes_function_calls_across_multiple_response_messages` |
-| Parallel calls | Results retain the corresponding call ids and execution count. | `test_max_function_calls_limits_parallel_invocations`, `test_streaming_multiple_function_calls_parallel_execution` |
-| Informational-only call | The call is returned but not executed or approved. | `test_informational_only_function_call_is_not_invoked`, `test_informational_only_function_call_does_not_request_approval`, `test_streaming_informational_only_function_call_is_not_invoked` |
-| Declaration-only call | The call is surfaced as user input and is not executed; streaming arguments appear once while finalized request metadata remains available. | `test_declaration_only_tool`, `test_streaming_declaration_only_tool_preserves_metadata_without_duplicate_arguments` |
-| Function invocation disabled | The client bypasses the invocation loop without losing invocation kwargs. | `test_function_invocation_config_enabled_false`, `test_function_invocation_config_enabled_false_preserves_invocation_kwargs`, `test_streaming_function_invocation_config_enabled_false` |
-| Runtime tool changes | Added tools become available on the next iteration and retain approval behavior. | `test_add_tools_available_next_iteration`, `test_add_tools_with_approval_required_tool` |
-
-### Approval pause and resume
-
-| Scenario | Required invariant | Primary regression test |
-|---|---|---|
-| Initial approval request | Assistant response contains the original call and approval request; tool does not execute. | `test_approval_requests_in_assistant_message`, `test_streaming_approval_request_generated`, `test_streaming_approval_requests_in_assistant_message` |
-| Approved non-streaming resume | Result precedes final text; tool executes once; inputs remain unchanged. | `packages/core/tests/core/test_harness_tool_approval.py::test_approval_resume_returns_result_without_mutating_inputs[non-streaming-approved]` |
-| Rejected non-streaming resume | Rejection result precedes final text; tool executes zero times; inputs remain unchanged. | `test_approval_resume_returns_result_without_mutating_inputs[non-streaming-rejected]` |
-| Approved streaming resume | Result update precedes final text and final response matches non-streaming shape. | `test_approval_resume_returns_result_without_mutating_inputs[streaming-approved]`, `test_streaming_approval_resume_yields_terminal_result_before_model_text[approved]` |
-| Rejected streaming resume | Rejection result update precedes final text and tool executes zero times. | `test_approval_resume_returns_result_without_mutating_inputs[streaming-rejected]`, `test_streaming_approval_resume_yields_terminal_result_before_model_text[rejected]` |
-| Mixed approved/rejected batch | Every call gets one correctly correlated terminal result. | `packages/core/tests/core/test_function_invocation_logic.py::test_rejected_approval` |
-| Persisted approval replay | Resume executes with the prior call available. | `test_persisted_approval_messages_replay_correctly` |
-| Hosted approval pass-through | Hosted requests/responses are not processed as local calls. | `test_hosted_tool_approval_response`, `test_hosted_mcp_approval_response_passthrough`, `test_mixed_local_and_hosted_approval_flow` |
-| Approval-time user input | Every user-input request from one approved execution returns in order with assistant role and no extra model call; the execution consumes one call-budget unit. | `packages/core/tests/core/test_harness_tool_approval.py::test_approval_resume_returns_all_user_input_requests_without_another_model_call`, `packages/core/tests/core/test_function_invocation_logic.py::test_approval_resume_user_input_counts_toward_function_call_budget` |
-| Mixed terminal result and follow-up input | Completed siblings remain tool-role while only follow-up input requests use assistant-role messages/updates. | `packages/core/tests/core/test_function_invocation_logic.py::test_approval_resume_separates_terminal_results_from_follow_up_requests`, `packages/openai/tests/openai/test_openai_chat_completion_client.py::test_mixed_approval_resume_roles_serialize_function_result_as_tool` |
-| Approval-time middleware termination | Terminal result returns with no extra model call in either response mode. | `packages/core/tests/core/test_function_invocation_logic.py::test_approval_resume_honors_middleware_termination` |
-| Approval re-entry after iteration budget | Pending approved calls resolve once even when prior model calls consumed `max_iterations`. | `packages/core/tests/core/test_harness_tool_approval.py::test_auto_approval_resolves_after_iteration_budget_is_exhausted` |
-| Approval resume with reasoning | Model-bound resume history retains reasoning before the call and terminal result in both modes. | `packages/core/tests/core/test_harness_tool_approval.py::test_approval_resume_replays_reasoning_with_function_call_group` |
-
-### Approval correlation and replay
-
-| Scenario | Required invariant | Primary regression test |
-|---|---|---|
-| Result matching without placeholders | Results match calls by id even when the result list is reordered. | `test_replace_approval_contents_with_results_uses_result_call_ids_without_placeholders` |
-| Reused id after completion | A later round with the same id creates a second valid pair. | `test_replace_approval_contents_with_results_allows_reused_call_id_after_completion` |
-| Replayed approval wrapper | A duplicated wrapper does not restore another function call. | `test_replace_approval_contents_with_results_deduplicates_replayed_approval_request` |
-| Historical resolved response plus new round | The old response is removed from normalized input and is not converted into a rejection result. | `test_replace_approval_contents_with_results_ignores_already_resolved_response` |
-| Multiple reused-id rounds | Approved and rejected rounds retain separate call/result occurrences. | `test_replace_approval_contents_with_results_correlates_reused_call_id_occurrences` |
-| Multi-content result with reused id | Every content produced by one execution stays with that approval occurrence and cannot bleed into the next reused-id round. | `test_replace_approval_contents_with_results_keeps_multi_content_group_with_reused_call_id` |
-| Follow-up request closes one occurrence | A user-input follow-up consumes only the preceding approval authority and leaves a later reused-id response pending. | `test_collect_approval_responses_consumes_matching_follow_up_request_occurrence` |
-| Reused-id placeholders | Placeholder results consume approved results by occurrence. | `test_replace_approval_contents_with_results_correlates_reused_call_id_placeholders` |
-| Rejected placeholder | Rejection replaces the pending placeholder instead of adding a second result. | `test_replace_approval_contents_with_results_replaces_rejected_placeholder` |
-| Results reordered with placeholders | Results still match the correct call ids. | `test_replace_approval_contents_with_results_uses_result_call_ids_for_placeholders` |
-| Missing result call id | A malformed result does not steal another approval's result. | `test_replace_approval_contents_with_results_skips_results_without_call_id` |
-| Empty approval message cleanup | Fully consumed approval messages are removed from normalized model input. | `test_replace_approval_contents_with_results_prunes_emptied_messages` |
-| Later stateless turn | A prior terminal approval response cannot execute again. | `test_resolved_approval_response_is_inert_on_later_stateless_turn` |
-| Pending history turn | An unresolved approval batch is omitted atomically from unrelated model input while a later decision can still resume it once. | `packages/core/tests/core/test_harness_tool_approval.py::test_pending_approval_from_file_history_stays_resumable_without_model_orphan` |
-| Duplicate function-call prevention | Approval normalization does not create a second call for one round. | `test_no_duplicate_function_calls_after_approval_processing` |
-| Rejection call id | Rejection result uses the function call id, not only the approval id. | `test_rejection_result_uses_function_call_id` |
-
-### Mixed batches and approval middleware
-
-| Scenario | Required invariant | Primary regression test |
-|---|---|---|
-| Safe and approval-required calls in one batch | Hidden safe calls replay only with the matching visible approval. | `packages/core/tests/core/test_harness_tool_approval.py::test_mixed_batch_hides_already_approved_request_until_approval_replay` |
-| Restored approval state | Serialized `ToolApprovalState` restores mixed-batch behavior. | `test_mixed_batch_accepts_restored_tool_approval_state` |
-| Unrelated turn before approval | Hidden calls do not execute on an unrelated turn. | `test_hidden_mixed_batch_requests_do_not_replay_on_unrelated_turn` |
-| Multiple abandoned batches | Hidden calls replay only for the matching batch. | `test_hidden_mixed_batch_requests_replay_only_for_matching_visible_approval` |
-| Queued approvals | One unresolved approval is surfaced per run without premature execution. | `test_tool_approval_middleware_queues_multiple_approval_requests`, `test_tool_approval_middleware_queues_streamed_approval_requests` |
-| Middleware state plus hidden core state | State saves do not discard hidden mixed-batch calls. | `test_tool_approval_middleware_preserves_hidden_mixed_batch_requests` |
-| Auto-approval callback | Callback receives the original function call and executes the approved set once. | `test_tool_approval_middleware_auto_approval_rule_receives_function_call` |
-| Shared call budget | Auto-approved re-entry does not reset `max_function_calls`, and every executed approval group counts even when it pauses for input. | `test_tool_approval_middleware_auto_approved_loops_share_function_call_budget`, `test_approval_resume_user_input_counts_toward_function_call_budget` |
-| Standing tool rule | Tool-level approval applies only to later matching tools. | `test_tool_approval_middleware_always_approve_tool_rule` |
-| Hosted server boundary | Standing approval does not cross `server_label`. | `test_tool_approval_middleware_standing_rules_include_hosted_server_boundary` |
-| Argument-scoped rule | Exact arguments are required; empty arguments are not tool-wide. | `test_tool_approval_middleware_always_approve_tool_with_arguments_rule`, `test_tool_approval_middleware_empty_arguments_rule_is_not_tool_wide` |
-| Provider-injected approval tool | A tool added during `before_run` defers to in-run resolution, executes once, and emits one result. | `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_deferred_provider_tool_executes` |
-| AG-UI provider boundary | Completed local approval controls from AG-UI request and snapshot replay are absent from raw chat-client input while deferred and hosted approvals keep their respective in-run/provider paths. | `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_does_not_forward_resolved_local_approval_control_to_chat_client`, `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_deferred_provider_tool_executes`, `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_canonical_resume_preserves_hosted_approval_for_provider`, `packages/ag-ui/tests/ag_ui/test_run.py::test_filter_local_approval_responses_for_provider_removes_duplicate_completed_controls`, `packages/ag-ui/tests/ag_ui/test_run.py::test_filter_local_approval_responses_for_provider_pairs_reused_call_ids_by_occurrence`, `packages/ag-ui/tests/ag_ui/test_run.py::test_canonical_hosted_approval_resume_rejects_edited_arguments_without_mutating_pending` |
-| AG-UI standard approval payload | Agent and workflow tool approvals emit canonical `tool_call` interrupts. `approved` plus full-replacement `editedArgs` executes once and replays idempotently, while legacy `accepted` plus direct partial edits remains supported. Hosted approvals remain decision-only. | `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_resume_entry_applies_standard_full_replacement_edited_args`, `test_endpoint_agent_approval_replayed_standard_edited_resume_is_idempotent`, `test_endpoint_agent_approval_resume_entry_applies_edited_arguments`, `test_workflow_endpoint_emits_canonical_tool_approval_interrupt`, `test_workflow_endpoint_accepts_canonical_tool_approval_resume`, `test_workflow_endpoint_applies_canonical_approval_edited_args`, `test_workflow_endpoint_accepts_legacy_partial_approval_edits`, `test_workflow_endpoint_hosted_approval_rejects_argument_edits` |
-| AG-UI cancellation | A cancelled interrupt executes zero times and completes normally, including an identical retry during retained cancellation state; resolved siblings in the same complete resume still execute once. Workflow cancellation clears both runner correlation and the owning agent executor's pending request so later approvals remain resumable. | `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_cancelled_resume_entry_completes_without_execution`, `test_endpoint_agent_approval_replayed_cancellation_completes_idempotently`, `test_endpoint_agent_approval_mixed_cancelled_and_resolved_resume_executes_resolved_tool`, `test_endpoint_workflow_request_info_cancelled_resume_completes_normally`, `test_workflow_endpoint_cancelled_agent_approval_does_not_block_next_approval` |
-| AG-UI approval retention and capacity | Pending authority expires automatically, indeterminate outcomes remain non-retryable until their safety window permits reclamation, and one trusted scope cannot consume another scope's occurrence quota. | `packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py::test_abandoned_pending_occurrence_expires_and_releases_capacity`, `test_indeterminate_occurrence_is_reclaimed_after_its_safety_window`, `test_capacity_is_enforced_per_trusted_scope` |
-| AG-UI local executor unavailable on resume | A claimed local occurrence whose executor disappeared releases its unstarted claim, reports temporary unavailability, and remains safely retryable. | `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_resume_remains_retryable_when_local_tool_is_temporarily_unavailable` |
-| AG-UI forwarded execution interruption | A provider failure, cancellation, or stream close after forwarding an approval recovers the open occurrence as indeterminate when no idempotency key proves retry safety. | `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_hosted_approval_becomes_indeterminate_when_provider_stream_fails` |
-
-### Errors, control flow, and limits
-
-| Scenario | Required invariant | Primary regression test |
-|---|---|---|
-| Rejected execution | Rejection is a normal terminal result, not an exception to the caller. | `test_unapproved_tool_execution_raises_exception` |
-| Approved tool exception | Generic and detailed error modes preserve one result and one execution. | `test_approved_function_call_with_error_without_detailed_errors`, `test_approved_function_call_with_error_with_detailed_errors` |
-| Approved validation error | Validation failure returns one result without invoking the function body. | `test_approved_function_call_with_validation_error` |
-| Approved success | Successful approved execution returns one result. | `test_approved_function_call_successful_execution` |
-| Consecutive error cap | Error threshold stops repeated failures, submits collected results, and makes only the required final no-tool model call. | `test_function_invocation_config_max_consecutive_errors`, `test_streaming_function_invocation_config_max_consecutive_errors`, `test_approval_resume_error_limit_forces_final_no_tool_response` |
-| Unknown call handling | Configured false returns an error result; configured true raises. | `test_function_invocation_config_terminate_on_unknown_calls_false`, `test_function_invocation_config_terminate_on_unknown_calls_true`, streaming equivalents |
-| Middleware termination | Normal non-approval loop stops without a second model call. | `test_terminate_loop_single_function_call`, `test_terminate_loop_multiple_function_calls_one_terminates`, `test_terminate_loop_streaming_single_function_call` |
-| Maximum iterations | No orphan calls; a final no-tool response or deterministic fallback is returned. | `test_max_iterations_limit`, `test_max_iterations_no_orphaned_function_calls`, `test_max_iterations_makes_final_toolchoice_none_call`, `test_max_iterations_blank_final_fallback_synthesizes_message`, streaming equivalents |
-| Maximum function calls | Parallel overshoot is bounded after the batch; every executed result group counts even without a `function_result`; blank final responses get fallback content. | `test_max_function_calls_limits_parallel_invocations`, `test_max_function_calls_single_calls_per_iteration`, `test_user_input_request_multiple_contents_propagate`, `test_approval_resume_user_input_counts_toward_function_call_budget`, `test_max_function_calls_blank_final_fallback_synthesizes_message`, streaming equivalent |
-| Provider tool content after an active limit | Locally actionable calls and local approval requests returned despite `tool_choice="none"` are removed in both response modes. Provider-executed informational call/result pairs, hosted approval requests, and metadata-only streaming updates remain visible; fallback text never replaces retained transcript content. | `test_function_invocation_limit_drops_unexecutable_tool_content`, `test_streaming_function_invocation_limit_drops_unexecutable_tool_content`, `test_streaming_function_invocation_limit_preserves_metadata_after_tool_content_is_dropped`, `test_function_invocation_limit_preserves_provider_executed_tool_pair`, `test_streaming_function_invocation_limit_preserves_provider_executed_tool_pair`, `test_function_invocation_limit_appends_fallback_after_provider_executed_tool_pair`, `test_streaming_function_invocation_limit_appends_fallback_after_provider_executed_tool_pair`, `test_function_invocation_limit_preserves_hosted_approval_request`, `test_streaming_function_invocation_limit_preserves_hosted_approval_request` |
-| Conversation continuation | Conversation id updates between iterations and is cleared on stop where required. | `test_conversation_id_updated_in_options_between_tool_iterations`, `test_function_invocation_stop_clears_conversation_id_non_stream`, `test_streaming_function_invocation_stop_clears_conversation_id` |
-
-### History and provider serialization
-
-| Scenario | Required invariant | Primary regression test |
-|---|---|---|
-| Append-only history replay | Resolved approval wrappers do not reach a later model call; one call/result pair remains. | `packages/core/tests/core/test_harness_tool_approval.py::test_approval_resume_filters_resolved_control_items_from_file_history` |
-| Pending placeholder history | An approval response remains replayable while its only result is `[APPROVAL_PENDING]`. | `packages/core/tests/core/test_sessions.py::test_filter_approval_controls_keeps_response_for_pending_placeholder` |
-| Pending hosted history replay | Stateless hosted approval requests remain replayable until a response is recorded, then both controls become inert. | `packages/openai/tests/openai/test_openai_chat_client.py::test_stateless_history_preserves_pending_hosted_approval_request_until_response` |
-| Non-history provider plus session | Local history is still auto-injected for approval resume. | `packages/core/tests/core/test_agents.py::test_non_history_context_provider_still_injects_inmemory` |
-| Hosted per-service-call persistence | A host-managed transcript remains available throughout a local function-call loop without being persisted into the framework session and replayed on the next hosted request. | `packages/foundry_hosting/tests/test_responses.py::TestAgentSessionPersistence::test_per_service_call_persistence_preserves_function_loop_history` |
-| Streaming message injection with per-service-call persistence | A streaming response rebuilt from updates mirrors the inner conversation id exactly, including clearing it, and keeps its internal marker, so the next iteration appends only the latest message rather than replaying the whole turn on top of provider-held history, and never persists a conversation id from an earlier injected service call. | `packages/core/tests/core/test_middleware_with_chat.py::TestChatMiddleware::test_message_injection_middleware_streaming_preserves_inner_continuation_state`, `test_message_injection_middleware_streaming_keeps_service_conversation_id_external`, `test_message_injection_middleware_streaming_clears_conversation_id_when_final_call_has_none`, `test_message_injection_middleware_conversation_id_matches_across_streaming_modes`, `packages/core/tests/core/test_harness_agent.py::test_streaming_harness_tool_call_does_not_duplicate_transcript` |
-| Service-side approval decision | Stored hosted request is skipped; the current approved or rejected hosted response is sent, while local approval controls are omitted from provider input. | `packages/openai/tests/openai/test_openai_chat_client.py::test_prepare_messages_strips_approval_request_but_keeps_response_under_storage`, `test_prepare_messages_drops_local_approval_controls` |
-| OpenAI approval serialization | Hosted approval id and decision serialize to `mcp_approval_response`; local approvals remain in-process. | `test_prepare_message_for_openai_with_function_approval_response`, `test_prepare_content_for_opentool_approval_response`, `test_function_approval_response_with_mcp_tool_call` |
-| OpenAI end-to-end hosted approval | Hosted request parses, response sends, and continuation completes. | `test_end_to_end_mcp_approval_flow` |
-| Stored function call/result | Service-side storage drops server-issued calls but keeps new outputs. | `test_prepare_options_with_conversation_id_strips_server_issued_items`, `test_prepare_messages_for_openai_full_conversation_with_reasoning` |
-| Stateless reasoning replay | Replay reconstructs reasoning, call, and result together; missing required reasoning fails before the request. | `test_tool_loop_store_false_replays_encrypted_reasoning_group`, `test_stateless_request_rejects_non_replayable_reasoning_bound_mcp_output`, `test_prepare_messages_for_openai_full_conversation_with_reasoning` |
-| Foundry encrypted reasoning opt-in | Foundry clients omit `reasoning.encrypted_content` by default and preserve an explicit caller opt-in. | `packages/foundry/tests/foundry/test_foundry_chat_client.py::test_get_response_does_not_request_encrypted_reasoning_by_default`, `test_get_response_preserves_explicit_encrypted_reasoning_opt_in`, `packages/foundry/tests/foundry/test_foundry_agent.py::test_foundry_agent_basic_call_does_not_request_unsupported_encrypted_reasoning`, `test_foundry_agent_preserves_caller_requested_encrypted_reasoning`, `packages/foundry_hosting/tests/test_responses_int.py::TestReasoningHostedMcpReplay::test_second_turn_replays_mcp_call_with_encrypted_reasoning` |
-| Opaque reasoning signature replay | Provider-specific opaque reasoning metadata is captured and restored on reconstructed calls. | `packages/gemini/tests/test_gemini_client.py::test_function_call_part_captures_thought_signature_as_reasoning_content`, `test_reconstructed_function_call_replays_thought_signature_from_reasoning_content` |
-| Chat Completions approval wrappers | Framework approval wrappers are not sent as chat messages. | `packages/openai/tests/openai/test_openai_chat_completion_client.py` approval serialization tests |
-| AG-UI approval result event | Approved result emits once with content and persists in snapshot. | `packages/ag-ui/tests/ag_ui/test_approval_result_event.py::test_approved_call_emits_one_live_result_under_original_identity`, `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_resume_persists_replayable_tool_results`, `test_endpoint_agent_approval_replayed_resume_entry_reprojects_retained_result` |
-| AG-UI rejection/mixed decision | Transport emits only the events defined for approved and rejected calls without duplicates. | `packages/ag-ui/tests/ag_ui/test_approval_result_event.py::test_rejected_call_does_not_execute_or_emit_live_result`, `test_mixed_batch_preserves_approved_result_identity_and_order`, `packages/ag-ui/tests/ag_ui/test_endpoint.py::test_endpoint_agent_approval_rejection_releases_already_approved_sibling` |
-| AG-UI approval-time follow-up | The full grouped user-input pause remains in message history and emits no synthetic `TOOL_CALL_RESULT`. | `packages/ag-ui/tests/ag_ui/test_approval_result_event.py::test_approval_follow_up_group_remains_in_history_without_live_tool_result` |
-| AG-UI approval execution failure | A grouped executor failure becomes one deterministic terminal error result for the approved call. | `packages/ag-ui/tests/ag_ui/test_approval_result_event.py::test_approval_execution_failure_emits_one_terminal_error_result` |
-| AG-UI no-approval path | Ordinary tool results do not gain an extra approval result event. | `packages/ag-ui/tests/ag_ui/test_approval_result_event.py::test_no_approval_path_emits_no_approval_specific_duplicate_result` |
-| AG-UI `confirm_changes` snapshot | An accepted synthetic confirmation is replaced only when its original function call has a real result; rejection is cleaned explicitly, and missing accepted results remain inert. | `packages/ag-ui/tests/ag_ui/test_confirm_changes_snapshot.py` |
-| AG-UI malformed `confirm_changes` metadata | Non-list tool-call metadata and malformed argument JSON are ignored without guessing a target call. | `test_confirm_changes_target_ignores_non_list_tool_calls`, `test_confirm_changes_target_rejects_malformed_arguments_json` |
-| Compaction pair integrity | Adjacent and non-adjacent pairs, including assistant-embedded results and completed reused-id occurrences, remain atomic without pairing ambiguous or out-of-order ids. | `packages/core/tests/core/test_compaction.py::test_group_annotations_keep_tool_call_and_tool_result_atomic`, `test_group_annotations_include_reasoning_in_tool_call_group`, `test_group_annotations_pair_nonadjacent_function_result_by_call_id`, `test_group_annotations_pair_multiple_nonadjacent_results_with_declaration`, `test_group_annotations_pair_completed_reused_call_id_occurrences`, `test_group_annotations_close_assistant_embedded_result_before_reused_call_id`, `test_sliding_window_does_not_retain_orphan_result_after_assistant_embedded_result`, `test_sliding_window_keeps_reused_call_id_occurrences_atomic`, `test_group_annotations_do_not_pair_ambiguous_duplicate_call_ids` |
-
-## Required coverage gaps
-
-These scenarios are required but are not fully covered by merged tests on `main`:
-
-| Gap | Tracking |
-|---|---|
-| Service-owned `previous_response_id` continuation cannot execute a terminal approval again on a later turn. | #6851 |
-
-Do not mark these rows covered by nearby tests; each needs a dedicated regression at the owning layer.
-
-## Minimum validation commands
-
-Run from `python/` for any core function-loop change:
-
-```bash
-uv run poe test -P core
-uv run poe syntax -P core
-uv run poe pyright -P core
-uv run poe test-typing -P core
-```
-
-Also run every affected package. Common approval-loop changes require:
-
-```bash
-uv run poe test -P openai
-uv run poe syntax -P openai
-uv run poe pyright -P openai
-uv run poe test-typing -P openai
-uv run poe test -P ag-ui
-uv run --directory packages/foundry_hosting poe test
-```
-
-Run focused regression files first while iterating, but do not substitute them for the full package commands above.
-
-## Review checklist
-
-Before accepting an update, reviewers must confirm:
-
-- the changed behavior is represented in this specification;
-- the matrix names a regression test for every affected scenario;
-- approved tools cannot execute twice;
-- rejected tools cannot execute;
-- no call or result becomes orphaned or duplicated;
-- call/result matching does not assume `call_id` is globally unique forever;
-- reasoning content or opaque signatures remain in the same logical group as the paired call/result, or replay fails
-  explicitly before sending a lossy provider request;
-- caller messages and previous responses remain immutable;
-- streaming updates and final response agree with non-streaming output;
-- history replay does not reintroduce approval authority;
-- full package, syntax, source typing, and test typing checks were run.
-
-## Related issues
-
-- #7241 — approval-resolution result streaming
-- #7267 / #7271 and #7304 — replayed calls and reused ids
-- #7043 — provider-injected approval execution
-- #6828 — AG-UI `confirm_changes` snapshot correlation
-- #7212 — non-adjacent and reused-id compaction integrity
-- #7125 — service-side approval response serialization
-- #7045 — post-limit tool-content transcript integrity
-- #6973 — declaration-only streaming metadata and argument integrity
-- #6851 — duplicate side effects after approval continuation
-- #7383 — bind approval responses to framework-issued requests after this foundation merges
-- #6963 / #7095 — opaque reasoning-signature replay
-- #6074 / #7233 — reasoning-paired tool-call replay
-- #6450 / #6794 — provider message and tool-result serialization

docs/specs/feature-usage-bit-registry.md

@@ -1,284 +0,0 @@
-# Feature-usage bit registry (per-language)
-
-> **Status:** draft, accompanies [ADR-0033](../decisions/0033-feature-usage-bitmask-user-agent.md)
-> and [SPEC-004](004-feature-usage-telemetry.md).
-> **Version:** `1` per language · **Width:** 128-bit
-
-This document is the proposed human-readable registry for the feature-usage
-mask. Until ADR-0033 is accepted and the index declarations ship, these tables
-are a **candidate mapping**, not a stable wire contract. The table is the
-allocation authority and published decoder contract; package-local private
-`FeatureIndex` declarations implement the rows they own. There is no generated
-artifact.
-
-This telemetry is intentionally **transparent**: this registry is public, the
-emitted value is human-decodable, and a dedicated env var disables the mask
-without removing the base User-Agent. Python's existing whole-User-Agent opt-out
-also suppresses its mask; see [Opt-out](#opt-out).
-
-## What is collected
-
-A single 128-bit integer (the *feature mask*) describing **which Agent Framework
-features were exercised** in a process — not which packages are installed. The
-candidate below uses package-level bits plus selected major capabilities: core
-agent/workflow/MCP features, stable skill source types, each orchestration
-pattern, each individual built-in context/history provider, and distinct Foundry
-surfaces. ADR-0033 still leaves the final v1 granularity open. A feature sets its
-index at first meaningful activation; the SDK shifts that index, ORs the mask,
-and emits the value.
-
-No identifiers, arguments, prompts, payloads, or user data are encoded — only the
-coarse Boolean \"this feature was observed at least once in this process\" per
-registered bit. A repeated bit on later requests is the same observation, not
-another use and not a count.
-
-## Allocation tenet
-
-**An index represents a stable, framework-owned capability whose adoption answers a
-concrete product or support question.** It has a clear actual-use mark point in a
-public entry path, and the privacy review covers the resulting distinction.
-
-Keep imports, installation state, aliases, wrappers, internal helpers, and
-implementation decorators such as caching/filtering/deduplication within their
-own capability bit. Customer/runtime values — names, prompts, arguments, URLs,
-identifiers, configuration choices — never become bits. A proposed distinction
-without a concrete query and named decision owner waits.
-
-Operational clients, tools, providers, and hosts mark on their first real public
-operation/participation. Constructor marking is reserved for cases where
-construction itself activates or registers the capability; DI instantiation
-alone is not usage.
-
-Ids use the package/integration name for a package-level signal and add a
-capability suffix only when the row tracks a narrower surface. They describe the
-registered feature, not an inheritance hierarchy: for example, Python
-`hosting` is the base `agent-framework-hosting` package, while `hosting.a2a` is
-the separate hosting-A2A integration.
-
-## Per-language, not shared
-
-The two tables below are **independent**. Feature indexes are **not** shared across
-languages — Python bit 13 and .NET bit 13 do not mean the same thing. This is
-deliberate: the User-Agent product token already names the language
-(`agent-framework-python` vs `agent-framework-dotnet`), so a decoder selects the
-right table from the UA and decodes against it. Each SDK numbers and evolves its
-features independently — no cross-language synchronization, no null placeholders,
-no \"same bit, same meaning\" rule.
-
-## Encoding
-
-- **Width:** 128-bit unsigned integer per language.
-- **Versioning:** the emission carries the version so a decoder knows the bit
-  mapping in effect (version is per language).
-- **User-Agent:** the mask is an RFC 7231 **comment** (metadata, not a product
-  token), placed after the agent-framework product token:
-
-  ```text
-  agent-framework-python/1.2.3 (feat=v1.<hex_mask>)
-  ```
-
-  where `<hex_mask>` is lowercase hex, no leading zeros, no `0x` prefix. Example
-  for bits 0, 1, 5 set (`0b100011 = 0x23`):
-
-  ```text
-  agent-framework-python/1.2.3 (feat=v1.23)
-  ```
-
-- **Decoding:** read the **language** from the product token, pick that table;
-  read `vN`, pick that version; test `mask & (1 << index)` for each row. Unknown indexes
-  (newer SDK than the decoder's copy) are ignored.
-
-## Emission scope (where the mask is sent)
-
-- **Marking is universal:** every feature sets its index at first meaningful
-  activation, regardless of provider.
-- **User-Agent `(feat=...)` comment — approved first-party clients only,
-  stamped at request time.** Added only when both the **Azure / Foundry**
-  client/pipeline family and the actual HTTPS origin are approved, re-evaluated
-  on every request and redirect hop. Custom origins are default-deny and an
-  unapproved redirect removes the token. It is
-  **never** sent to third-party providers — a feature fingerprint must not leak
-  into logs we cannot read. See [SPEC-004](004-feature-usage-telemetry.md#emission).
-- **OpenTelemetry: not in v1.** Deferred primarily for privacy (a span attribute
-  would broadcast the fingerprint into the user's general telemetry / third-party
-  APM vendors). Left open behind the version prefix; see
-  [ADR-0033](../decisions/0033-feature-usage-bitmask-user-agent.md#considered-options).
-
-## Index table — Python (`agent-framework-python`, version 1)
-
-Layout: core features 0–31, orchestration patterns 32–47, and
-provider/integration packages from 48.
-
-The provider/integration block is intentionally **not** partitioned by vendor
-ownership. Some packages span first- and third-party services, ownership can
-change, and protocols/storage integrations do not fit a stable first/third-party
-taxonomy. Index ranges are allocation space, not privacy or emission policy;
-the explicit destination allowlist independently ensures that the mask is sent
-only to approved first-party endpoints.
-
-| Index | Id | Feature | Activated at (representative) |
-| --- | --- | --- | --- |
-| 0 | `core.agent` | Agent | `agent_framework.Agent` |
-| 1 | `core.harness_agent` | Harness agent | `agent_framework.create_harness_agent` |
-| 2 | `core.workflow` | Workflow engine (custom graphs) | `agent_framework.WorkflowBuilder` |
-| 3 | `core.mcp` | MCP tool (any transport) | `agent_framework.MCPStdioTool` |
-| 4 | `core.tool_approval` | Tool-approval harness | `agent_framework.ToolApprovalMiddleware` |
-| 5 | `core.memory_provider` | Memory context provider | `agent_framework.MemoryContextProvider` |
-| 6 | `core.skills_provider` | Skills provider | `agent_framework.SkillsProvider` |
-| 7 | `core.file_access_provider` | File-access provider | `agent_framework.FileAccessProvider` |
-| 8 | `core.compaction_provider` | Context compaction provider | `agent_framework.CompactionProvider` |
-| 9 | `core.todo_provider` | Todo provider | `agent_framework.TodoProvider` |
-| 10 | `core.agent_mode_provider` | Agent-mode provider | `agent_framework.AgentModeProvider` |
-| 11 | `core.background_agents_provider` | Background-agents provider | `agent_framework.BackgroundAgentsProvider` |
-| 12 | `core.in_memory_history_provider` | In-memory history provider | `agent_framework.InMemoryHistoryProvider` |
-| 13 | `core.file_history_provider` | File history provider | `agent_framework.FileHistoryProvider` |
-| 14 | `core.file_skills_source` | File-backed skills | `agent_framework.FileSkillsSource` |
-| 15 | `core.in_memory_skills_source` | In-memory / programmatic skills | `agent_framework.InMemorySkillsSource` |
-| 16 | `core.mcp_skills_source` | MCP-backed skills | `agent_framework.MCPSkillsSource` |
-| 17 | `core.session_store` | Agent session store | `agent_framework.SessionStore` / `FileSessionStore` |
-| 18 | `core.agent_hooks` | Agent Hooks middleware | `agent_framework.create_agent_hooks_middleware` |
-| 19–31 | _reserved_ | core growth | — |
-| 32 | `orchestration.sequential` | Sequential orchestration | `agent_framework_orchestrations.SequentialBuilder` |
-| 33 | `orchestration.concurrent` | Concurrent orchestration | `agent_framework_orchestrations.ConcurrentBuilder` |
-| 34 | `orchestration.group_chat` | Group-chat orchestration | `agent_framework_orchestrations.GroupChatBuilder` |
-| 35 | `orchestration.magentic` | Magentic orchestration | `agent_framework_orchestrations.MagenticBuilder` |
-| 36 | `orchestration.handoff` | Handoff orchestration | `agent_framework_orchestrations.HandoffBuilder` |
-| 37–47 | _reserved_ | orchestration growth | — |
-| 48 | `foundry.chat_client` | Foundry chat client | `agent_framework_foundry.RawFoundryChatClient` |
-| 49 | `foundry.agent` | Foundry agent | `agent_framework_foundry.FoundryAgent` |
-| 50 | `foundry.memory` | Foundry memory provider | `agent_framework_foundry.FoundryMemoryProvider` |
-| 51 | `foundry.embedding` | Foundry embedding client | `agent_framework_foundry.RawFoundryEmbeddingClient` |
-| 52 | `foundry.evals` | Foundry evaluations | `agent_framework_foundry.FoundryEvals` |
-| 53 | `foundry.toolbox` | Foundry Toolbox MCP tool | `agent_framework_foundry_hosting.FoundryToolbox` |
-| 54 | `foundry_local` | Foundry Local client | `agent_framework_foundry_local.FoundryLocalClient` |
-| 55 | `foundry_hosting` | Foundry hosting layer | `agent_framework_foundry_hosting.ResponsesHostServer` / `InvocationsHostServer` |
-| 56 | `openai` | OpenAI clients | `agent_framework_openai` |
-| 57 | `anthropic` | Anthropic clients | `agent_framework_anthropic` |
-| 58 | `bedrock` | AWS Bedrock clients | `agent_framework_bedrock` |
-| 59 | `gemini` | Gemini chat client | `agent_framework_gemini` |
-| 60 | `mistral` | Mistral embedding client | `agent_framework_mistral` |
-| 61 | `ollama` | Ollama clients | `agent_framework_ollama` |
-| 62 | `claude` | Claude Agent SDK agent | `agent_framework_claude` |
-| 63 | `copilotstudio` | Copilot Studio agent | `agent_framework_copilotstudio` |
-| 64 | `github_copilot` | GitHub Copilot agent | `agent_framework_github_copilot` |
-| 65 | `azure_ai_search` | Azure AI Search context provider | `agent_framework_azure_ai_search` |
-| 66 | `azure_cosmos` | Azure Cosmos history / checkpoint store | `agent_framework_azure_cosmos` |
-| 67 | `azure_contentunderstanding` | Azure Content Understanding context provider | `agent_framework_azure_contentunderstanding.ContentUnderstandingContextProvider` |
-| 68 | `redis` | Redis context / history provider | `agent_framework_redis` |
-| 69 | `mem0` | Mem0 memory provider | `agent_framework_mem0.Mem0ContextProvider` |
-| 70 | `purview` | Purview client | `agent_framework_purview.PurviewClient` |
-| 71 | `a2a` | A2A agent / executor | `agent_framework_a2a.A2AAgent` / `A2AExecutor` |
-| 72 | `ag_ui` | AG-UI chat client / agent | `agent_framework_ag_ui` |
-| 73 | `chatkit` | ChatKit integration | `agent_framework_chatkit` |
-| 74 | `devui` | DevUI served | `agent_framework_devui.serve` |
-| 75 | `declarative.agent` | Declarative agent definitions | `agent_framework_declarative.AgentFactory` |
-| 76 | `declarative.workflow` | Declarative workflow definitions | `agent_framework_declarative.WorkflowFactory` |
-| 77 | `durabletask` | Durable task runtime | `agent_framework_durabletask` |
-| 78 | `azurefunctions` | Azure Functions agent host | `agent_framework_azurefunctions` |
-| 79 | `tools.shell` | Shell tools | `agent_framework_tools.shell.LocalShellTool` / `DockerShellTool` |
-| 80 | `monty` | Monty CodeAct provider | `agent_framework_monty.MontyCodeActProvider` |
-| 81 | `hyperlight` | Hyperlight CodeAct provider | `agent_framework_hyperlight.HyperlightCodeActProvider` |
-| 82 | `azure_cosmos_memory` | Azure Cosmos DB semantic-memory provider | `agent_framework_azure_cosmos_memory.CosmosMemoryContextProvider` |
-| 83 | `hosting` | App-owned agent/workflow hosting state | `agent_framework_hosting.AgentState` / `WorkflowState` |
-| 84 | `hosting.a2a` | A2A hosting converters | `agent_framework_hosting_a2a.a2a_to_run` / `a2a_from_run` |
-| 85 | `hosting.mcp` | MCP hosting adapters | `agent_framework_hosting_mcp.AgentMCPTool` / `WorkflowMCPTool` |
-| 86 | `hosting.responses` | OpenAI Responses hosting converters | `agent_framework_hosting_responses.responses_to_run` |
-| 87 | `hosting.telegram` | Telegram hosting converters | `agent_framework_hosting_telegram.telegram_to_run` |
-| 88 | `lab` | Experimental Agent Framework Lab features | `agent_framework.lab` feature entry points |
-| 89–127 | _reserved_ | future packages | — |
-
-## Index table — .NET (`agent-framework-dotnet`, version 1)
-
-| Index | Id | Feature | Activated at (representative) |
-| --- | --- | --- | --- |
-| 0 | `core.agent` | Agent | `Microsoft.Agents.AI.ChatClientAgent` |
-| 1 | `core.harness_agent` | Harness agent | `Microsoft.Agents.AI.HarnessAgent` |
-| 2 | `core.workflow` | Workflow engine (custom graphs) | `Microsoft.Agents.AI.Workflows.WorkflowBuilder` |
-| 3 | `core.tool_approval` | Tool-approval agent | `Microsoft.Agents.AI.ToolApprovalAgent` |
-| 4 | `core.chat_history_memory_provider` | Chat-history memory provider | `Microsoft.Agents.AI.ChatHistoryMemoryProvider` |
-| 5 | `core.file_memory_provider` | File memory provider | `Microsoft.Agents.AI.FileMemoryProvider` |
-| 6 | `core.text_search_provider` | Text-search provider | `Microsoft.Agents.AI.TextSearchProvider` |
-| 7 | `core.file_access_provider` | File-access provider | `Microsoft.Agents.AI.FileAccessProvider` |
-| 8 | `core.skills_provider` | Skills provider | `Microsoft.Agents.AI.AgentSkillsProviderBuilder` |
-| 9 | `core.compaction_provider` | Context compaction provider | `Microsoft.Agents.AI.Compaction.CompactionProvider` |
-| 10 | `core.todo_provider` | Todo provider | `Microsoft.Agents.AI.TodoProvider` |
-| 11 | `core.agent_mode_provider` | Agent-mode provider | `Microsoft.Agents.AI.AgentModeProvider` |
-| 12 | `core.background_agents_provider` | Background-agents provider | `Microsoft.Agents.AI.BackgroundAgentsProvider` |
-| 13 | `core.in_memory_history_provider` | In-memory history provider | `Microsoft.Agents.AI.InMemoryChatHistoryProvider` |
-| 14 | `core.mcp` | MCP tasks / skills integration | `Microsoft.Agents.AI.Mcp.McpClientTaskExtensions` |
-| 15 | `core.file_skills_source` | File-backed skills | `Microsoft.Agents.AI.AgentFileSkillsSource` |
-| 16 | `core.in_memory_skills_source` | In-memory skills | `Microsoft.Agents.AI.AgentInMemorySkillsSource` |
-| 17 | `core.inline_skill` | Inline programmatic skill | `Microsoft.Agents.AI.AgentInlineSkill` |
-| 18 | `core.class_skill` | Class-based programmatic skill | `Microsoft.Agents.AI.AgentClassSkill` |
-| 19 | `core.mcp_skills_source` | MCP-backed skills | `Microsoft.Agents.AI.AgentSkillsProviderBuilderMcpExtensions.UseMcpSkills` |
-| 20–31 | _reserved_ | core growth | — |
-| 32 | `orchestration.sequential` | Sequential orchestration | `Microsoft.Agents.AI.Workflows.SequentialWorkflowBuilder` |
-| 33 | `orchestration.concurrent` | Concurrent orchestration | `Microsoft.Agents.AI.Workflows.ConcurrentWorkflowBuilder` |
-| 34 | `orchestration.group_chat` | Group-chat orchestration | `Microsoft.Agents.AI.Workflows.GroupChatWorkflowBuilder` |
-| 35 | `orchestration.magentic` | Magentic orchestration | `Microsoft.Agents.AI.Workflows.MagenticWorkflowBuilder` |
-| 36 | `orchestration.handoff` | Handoff orchestration | `Microsoft.Agents.AI.Workflows.HandoffWorkflowBuilder` |
-| 37–47 | _reserved_ | orchestration growth | — |
-| 48 | `foundry.chat_client` | Foundry chat client | `Microsoft.Agents.AI.Foundry.FoundryChatClient` |
-| 49 | `foundry.agent` | Foundry agent | `Microsoft.Agents.AI.Foundry.FoundryAgent` |
-| 50 | `foundry.memory` | Foundry memory provider | `Microsoft.Agents.AI.Foundry.FoundryMemoryProvider` |
-| 51 | `foundry.evals` | Foundry evaluations | `Microsoft.Agents.AI.Foundry.FoundryEvals` |
-| 52 | `foundry.toolbox` | Foundry Toolbox MCP tool | `Microsoft.Agents.AI.Foundry.HostedMcpToolboxAITool` |
-| 53 | `foundry_hosting` | Foundry hosting layer | `Microsoft.Agents.AI.Foundry.Hosting.FoundryHostingExtensions.AddFoundryResponses` |
-| 54 | `openai` | OpenAI integration | `Microsoft.Agents.AI.OpenAI` |
-| 55 | `anthropic` | Anthropic integration | `Microsoft.Agents.AI.Anthropic` |
-| 56 | `copilotstudio` | Copilot Studio agent | `Microsoft.Agents.AI.CopilotStudio.CopilotStudioAgent` |
-| 57 | `github_copilot` | GitHub Copilot agent | `Microsoft.Agents.AI.GitHub.Copilot.GitHubCopilotAgent` |
-| 58 | `azure_cosmos` | Cosmos history / checkpoint store | `Microsoft.Agents.AI.CosmosChatHistoryProvider` |
-| 59 | `valkey` | Valkey chat-history provider | `Microsoft.Agents.AI.Valkey.ValkeyChatHistoryProvider` |
-| 60 | `mem0` | Mem0 memory provider | `Microsoft.Agents.AI.Mem0.Mem0Provider` |
-| 61 | `purview` | Purview integration | `Microsoft.Agents.AI.Purview` |
-| 62 | `a2a` | A2A agent | `Microsoft.Agents.AI.A2A.A2AAgent` |
-| 63 | `hosting.ag_ui` | AG-UI hosting endpoint | `Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.AGUIEndpointRouteBuilderExtensions.MapAGUIServer` |
-| 64 | `devui` | DevUI served | `Microsoft.Agents.AI.DevUI` |
-| 65 | `declarative.agent` | Declarative agent definitions | `Microsoft.Agents.AI.PromptAgentFactory.CreateAsync` |
-| 66 | `declarative.workflow` | Declarative workflow definitions | `Microsoft.Agents.AI.Workflows.Declarative.DeclarativeWorkflowBuilder.Build` |
-| 67 | `durabletask` | Durable task runtime | `Microsoft.Agents.AI.DurableTask` |
-| 68 | `azurefunctions` | Azure Functions agent host | `Microsoft.Agents.AI.Hosting.AzureFunctions` |
-| 69 | `tools.shell` | Shell tools | `Microsoft.Agents.AI.Tools.Shell.ShellExecutor` |
-| 70 | `hyperlight` | Hyperlight CodeAct provider | `Microsoft.Agents.AI.Hyperlight.HyperlightCodeActProvider` |
-| 71 | `hosting.agent` | Hosted AF agent wrapper | `Microsoft.Agents.AI.Hosting.AIHostAgent` |
-| 72 | `local_codeact` | Local Python CodeAct provider | `Microsoft.Agents.AI.LocalCodeAct.LocalCodeActProvider` |
-| 73 | `hosting.a2a` | A2A hosting endpoints | `Microsoft.AspNetCore.Builder.A2AEndpointRouteBuilderExtensions.MapA2AJsonRpc` |
-| 74 | `hosting.openai` | OpenAI-compatible hosting endpoints | `Microsoft.AspNetCore.Builder.MicrosoftAgentAIHostingOpenAIEndpointRouteBuilderExtensions.MapOpenAIResponses` |
-| 75–127 | _reserved_ | future packages | — |
-
-## Opt-out
-
-The dedicated mask-only environment variable is shared by both SDKs:
-
-- `AGENT_FRAMEWORK_FEATURE_MASK_DISABLED=true|1` — drops **only** the feature
-  mask; the base `agent-framework-<lang>/{version}` User-Agent is still sent.
-
-The dedicated flag lets a privacy-conscious user keep contributing SDK
-identity/version (useful for support and compatibility triage) while withholding
-the feature-usage signal. Python's existing
-`AGENT_FRAMEWORK_USER_AGENT_DISABLED=true|1` also suppresses its entire Agent
-Framework User-Agent contribution, mask included. Adding a matching .NET
-whole-User-Agent opt-out is outside this design.
-
-## Governance
-
-1. One index per package/feature, **numbered independently per language**, in the
-   table for that language. New indexes are added by editing this file in a reviewed
-   PR; indexes are never reused within a `(language, version)`.
-2. Each package owns a private `FeatureIndex` declaration containing only its
-   rows. Core owns the accumulator API and core indexes, but never imports
-   optional packages. Adding a new optional-package index therefore does not
-   require a core release once the marker API exists.
-3. Adding a feature: apply the [allocation tenet](#allocation-tenet), name the
-   concrete query/decision owner, add the package-local index and table row, and mark the
-   stable public entry point where actual use begins.
-4. Widening beyond 128-bit or re-partitioning bumps that language's version; old
-   decoders keep working because the version prefix disambiguates the mapping.
-5. A repository validation test gathers all package-local declarations for each
-   `(language, version)` and asserts exact table parity, complete non-reserved
-   coverage, `0..127` range, and **no duplicate/overlapping indexes**.
-
-> **No machine-readable registry file ships today.** Nothing consumes one at
-> runtime (packages own private declarations). If/when a programmatic decoder is built, this
-> table is the contract to export to JSON for it then.

dotnet/Directory.Packages.props

@@ -38,7 +38,7 @@
     <PackageVersion Include="Google.GenAI" Version="1.6.0" />
     <PackageVersion Include="Mscc.GenerativeAI.Microsoft" Version="2.9.3" />
     <!-- Microsoft.Azure.* -->
-    <PackageVersion Include="Microsoft.Azure.Cosmos" Version="3.61.0" />
+    <PackageVersion Include="Microsoft.Azure.Cosmos" Version="3.54.0" />
     <!-- Newtonsoft.Json -->
     <PackageVersion Include="Newtonsoft.Json" Version="13.0.4" />
     <!-- System.* -->
@@ -60,7 +60,7 @@
     <PackageVersion Include="AGUI.Client" Version="0.0.3" />
     <PackageVersion Include="AGUI.Server" Version="0.0.3" />
     <PackageVersion Include="System.Text.Json" Version="10.0.9" />
-    <PackageVersion Include="System.Threading.Channels" Version="10.0.9" />
+    <PackageVersion Include="System.Threading.Channels" Version="10.0.8" />
     <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
     <PackageVersion Include="System.Net.Security" Version="4.3.2" />
     <!-- OpenTelemetry -->
@@ -80,11 +80,11 @@
     <PackageVersion Include="Microsoft.OpenApi" Version="2.7.5" /> <!-- Pin patched OpenAPI.NET to remediate GHSA-v5pm-xwqc-g5wc -->
     <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
     <!-- Microsoft.Extensions.* -->
-    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.7.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.7.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.7.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.7.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.7.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.6.0" />
     <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.6.0" />
     <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Compliance.Abstractions" Version="10.5.0" />
@@ -102,11 +102,10 @@
     <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.9" />
     <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.1" />
     <PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
-    <PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="10.7.0" />
+    <PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
     <!-- Vector Stores -->
-    <PackageVersion Include="CommunityToolkit.VectorData.CosmosNoSql" Version="1.0.0" />
-    <PackageVersion Include="CommunityToolkit.VectorData.InMemory" Version="1.0.0" />
-    <PackageVersion Include="CommunityToolkit.VectorData.Qdrant" Version="1.0.0" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.67.0-preview" />
+    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.67.0-preview" />
     <!-- Agent SDKs -->
     <PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.5" />
     <PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
@@ -123,7 +122,6 @@
     <PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
     <PackageVersion Include="Hyperlight.HyperlightSandbox.Guest.Python" Version="0.4.0" />
     <!-- Inference SDKs -->
-    <PackageVersion Include="Dapr.AI.Microsoft.Extensions" Version="1.18.4" />
     <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" />
@@ -135,6 +133,22 @@
     <PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.2.4.1" />
     <PackageVersion Include="Microsoft.Agents.ObjectModel.PowerFx" Version="2026.2.4.1" />
     <PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.8.1" />
+    <!-- Durable Task -->
+    <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.18.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.18.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.18.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.18.0" />
+    <!-- Azure Functions -->
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
+    <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" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Mcp" Version="1.0.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.7" />
+    <!-- Valkey -->
+    <!-- Redis -->
+    <PackageVersion Include="StackExchange.Redis" Version="2.10.1" />
     <!-- Valkey -->
     <PackageVersion Include="Valkey.Glide" Version="1.1.0" />
     <!-- Console UX -->

dotnet/agent-framework-dotnet.slnx

@@ -15,6 +15,7 @@
     <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/02-agents/">
     <File Path="samples/02-agents/README.md" />
@@ -28,9 +29,7 @@
     <Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
     <Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
     <Project Path="samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/dapr/Agent_With_Dapr/Agent_With_Dapr.csproj" />
     <Project Path="samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot_BYOK/Agent_With_GitHubCopilot_BYOK.csproj" />
     <Project Path="samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
     <Project Path="samples/02-agents/AgentProviders/ollama/Agent_With_Ollama/Agent_With_Ollama.csproj" />
     <Project Path="samples/02-agents/AgentProviders/onnx/Agent_With_ONNX/Agent_With_ONNX.csproj" />
@@ -66,12 +65,28 @@
     <Project Path="samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Agent_Step19_InFunctionLoopCheckpointing.csproj" />
     <Project Path="samples/02-agents/Agents/Agent_Step20_DynamicFunctionTools/Agent_Step20_DynamicFunctionTools.csproj" />
     <Project Path="samples/02-agents/Agents/Agent_Step21_ShellWithEnvironment/Agent_Step21_ShellWithEnvironment.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step22_AgentMode/Agent_Step22_AgentMode.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step23_TodoList/Agent_Step23_TodoList.csproj" />
   </Folder>
   <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>
@@ -185,9 +200,6 @@
     <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock.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" />
-    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory.csproj" />
-    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step07_FileMemoryProvider/AgentWithMemory_Step07_FileMemoryProvider.csproj" />
-    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step08_MemoryUsingCosmosNoSql/AgentWithMemory_Step08_MemoryUsingCosmosNoSql.csproj" />
   </Folder>
   <Folder Name="/Samples/02-agents/AgentProviders/openai/">
     <File Path="samples/02-agents/AgentProviders/openai/README.md" />
@@ -301,19 +313,7 @@
     <Project Path="samples/03-workflows/Evaluation/Evaluation_WorkflowEval/Evaluation_WorkflowEval.csproj" />
     <Project Path="samples/03-workflows/Evaluation/Evaluation_WorkflowExpectedOutputs/Evaluation_WorkflowExpectedOutputs.csproj" />
   </Folder>
-  <Folder Name="/Samples/04-hosting/" />
-  <Folder Name="/Samples/04-hosting/af-hosting/">
-    <File Path="samples/04-hosting/af-hosting/README.md" />
-  </Folder>
-  <Folder Name="/Samples/04-hosting/af-hosting/local_responses/">
-    <File Path="samples/04-hosting/af-hosting/local_responses/README.md" />
-    <Project Path="samples/04-hosting/af-hosting/local_responses/Server/Server.csproj" />
-    <Project Path="samples/04-hosting/af-hosting/local_responses/Client/Client.csproj" />
-  </Folder>
-  <Folder Name="/Samples/04-hosting/af-hosting/local_responses_workflow/">
-    <File Path="samples/04-hosting/af-hosting/local_responses_workflow/README.md" />
-    <Project Path="samples/04-hosting/af-hosting/local_responses_workflow/Server/Server.csproj" />
-    <Project Path="samples/04-hosting/af-hosting/local_responses_workflow/Client/Client.csproj" />
+  <Folder Name="/Samples/04-hosting/">
   </Folder>
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/" />
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/invocations/" />
@@ -327,9 +327,6 @@
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/HostedChatClientAgent.csproj" />
   </Folder>
-  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent-Dockerfile/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent-Dockerfile/HostedChatClientAgentDocker.csproj" />
-  </Folder>
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/HostedFoundryAgent.csproj" />
   </Folder>
@@ -383,6 +380,29 @@
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/HostedAgentSkills.csproj" />
   </Folder>
+  <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/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/02-agents/A2A/">
     <File Path="samples/02-agents/A2A/README.md" />
     <Project Path="samples/02-agents/A2A/A2AAgent_AsFunctionTools/A2AAgent_AsFunctionTools.csproj" />
@@ -592,6 +612,7 @@
     <Project Path="src/Microsoft.Agents.AI.CosmosNoSql/Microsoft.Agents.AI.CosmosNoSql.csproj" />
     <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.Foundry.Hosting/Microsoft.Agents.AI.Foundry.Hosting.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Foundry/Microsoft.Agents.AI.Foundry.csproj" />
     <Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
@@ -600,6 +621,7 @@
     <Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting.AspNetCore/Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hyperlight/Microsoft.Agents.AI.Hyperlight.csproj" />
@@ -617,9 +639,7 @@
     <Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
     <Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
   </Folder>
-  <Folder Name="/Tests/">
-    <Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.IntegrationTests/Microsoft.Agents.AI.Hosting.OpenAI.IntegrationTests.csproj" />
-  </Folder>
+  <Folder Name="/Tests/" />
   <Folder Name="/Tests/IntegrationTests/">
     <Project Path="tests/AgentConformance.IntegrationTests/AgentConformance.IntegrationTests.csproj" />
     <Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
@@ -628,8 +648,10 @@
     <Project Path="tests/Foundry.Hosting.IntegrationTests.TestContainer/Foundry.Hosting.IntegrationTests.TestContainer.csproj" />
     <Project Path="tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj" />
     <Project Path="tests/Foundry.IntegrationTests/Foundry.IntegrationTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.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.Hyperlight.IntegrationTests/Microsoft.Agents.AI.Hyperlight.IntegrationTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Mem0.IntegrationTests/Microsoft.Agents.AI.Mem0.IntegrationTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Tools.Shell.IntegrationTests/Microsoft.Agents.AI.Tools.Shell.IntegrationTests.csproj" />
@@ -647,12 +669,14 @@
     <Project Path="tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/Microsoft.Agents.AI.CosmosNoSql.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Declarative.UnitTests/Microsoft.Agents.AI.Declarative.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.DevUI.UnitTests/Microsoft.Agents.AI.DevUI.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Foundry.UnitTests/Microsoft.Agents.AI.Foundry.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Harness.UnitTests/Microsoft.Agents.AI.Harness.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.Hyperlight.UnitTests/Microsoft.Agents.AI.Hyperlight.UnitTests.csproj" />
@@ -671,3 +695,4 @@
   </Folder>
 </Solution>
 
+

dotnet/agent-framework-release.slnf

@@ -14,14 +14,15 @@
       "src\\Microsoft.Agents.AI.CosmosNoSql\\Microsoft.Agents.AI.CosmosNoSql.csproj",
       "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.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",
       "src\\Microsoft.Agents.AI.Hosting.AspNetCore\\Microsoft.Agents.AI.Hosting.AspNetCore.csproj",
+      "src\\Microsoft.Agents.AI.Hosting.AzureFunctions\\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj",      
       "src\\Microsoft.Agents.AI.Hosting.OpenAI\\Microsoft.Agents.AI.Hosting.OpenAI.csproj",
       "src\\Microsoft.Agents.AI.Hosting\\Microsoft.Agents.AI.Hosting.csproj",
-      "src\\Microsoft.Agents.AI.LocalCodeAct\\Microsoft.Agents.AI.LocalCodeAct.csproj",
       "src\\Microsoft.Agents.AI.Mcp\\Microsoft.Agents.AI.Mcp.csproj",
       "src\\Microsoft.Agents.AI.Mem0\\Microsoft.Agents.AI.Mem0.csproj",
       "src\\Microsoft.Agents.AI.OpenAI\\Microsoft.Agents.AI.OpenAI.csproj",

dotnet/eng/MSBuild/Shared.props

@@ -26,9 +26,6 @@
   <ItemGroup Condition="'$(InjectSharedDiagnosticIds)' == 'true'">
     <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\DiagnosticIds\*.cs" LinkBase="Shared\DiagnosticIds" />
   </ItemGroup>
-  <ItemGroup Condition="'$(InjectSharedUsage)' == 'true'">
-    <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Usage\*.cs" LinkBase="Shared\Usage" />
-  </ItemGroup>
   <ItemGroup Condition="'$(InjectSharedRedaction)' == 'true'">
     <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Redaction\*.cs" LinkBase="Shared\Redaction" />
   </ItemGroup>

dotnet/eng/scripts/New-FilteredSolution.ps1

@@ -26,7 +26,7 @@
     When specified, only test projects whose filename matches this pattern are kept.
 
 .PARAMETER TestProjectNameExcludeFilter
-    Optional wildcard pattern(s) to exclude test projects by name (e.g., *Slow.IntegrationTests*).
+    Optional wildcard pattern(s) to exclude test projects by name (e.g., *DurableTask.IntegrationTests*).
     When specified, test projects whose filename matches any of these patterns are removed.
     Applied after TestProjectNameIncludeFilter. Can be a single string or an array of strings.
 
@@ -50,8 +50,8 @@
     dotnet test --solution (./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net472) --no-build -f net472
 
 .EXAMPLE
-    # Generate integration tests while excluding a long-running test project
-    ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -TestProjectNameIncludeFilter "*IntegrationTests*" -TestProjectNameExcludeFilter "*Slow.IntegrationTests*" -OutputPath filtered-integration.slnx
+    # Generate integration tests excluding DurableTask and AzureFunctions
+    ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -TestProjectNameIncludeFilter "*IntegrationTests*" -TestProjectNameExcludeFilter "*DurableTask.IntegrationTests*","*AzureFunctions.IntegrationTests*" -OutputPath filtered-other-integration.slnx
 #>
 
 [CmdletBinding()]

dotnet/eng/verify-samples/AgentsSamples.cs

@@ -329,80 +329,6 @@ internal static class AgentsSamples
             ],
         },
 
-        new SampleDefinition
-        {
-            Name = "Agent_Step20_DynamicFunctionTools",
-            ProjectPath = "samples/02-agents/Agents/Agent_Step20_DynamicFunctionTools",
-            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
-            MustContain =
-            [
-                "=== Dynamic Function Tools Sample ===",
-                "=== Non-Streaming Mode ===",
-                "=== Streaming Mode ===",
-                "[User]",
-                "[Agent]",
-            ],
-            ExpectedOutputDescription =
-            [
-                "The output should show the agent starting with only a RequestTools function and dynamically loading additional tools (weather, time, temperature) as needed.",
-                "The output should contain weather information for Seattle and London, the current time in New York, and a Fahrenheit-to-Celsius temperature conversion.",
-                "The output should demonstrate both non-streaming and streaming modes.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
-        new SampleDefinition
-        {
-            Name = "Agent_Step21_ShellWithEnvironment",
-            ProjectPath = "samples/02-agents/Agents/Agent_Step21_ShellWithEnvironment",
-            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
-            MustContain =
-            [
-                "### Stateless mode",
-                "### Persistent mode",
-                "--- Captured environment snapshot ---",
-            ],
-            ExpectedOutputDescription =
-            [
-                "The output should show an agent using a shell tool to print the current working directory.",
-                "The output should demonstrate that in stateless mode side effects (such as changing directory) do not carry between calls, while in persistent mode the working directory and an environment variable (DEMO_TOKEN set to 'hello-world') carry across calls.",
-                "The output should include a captured environment snapshot describing the OS, shell, and working directory.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
-        new SampleDefinition
-        {
-            Name = "Agent_Step22_AgentMode",
-            ProjectPath = "samples/02-agents/Agents/Agent_Step22_AgentMode",
-            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
-            SkipReason = "Interactive sample that reads console input in a loop and does not exit on its own.",
-        },
-
-        new SampleDefinition
-        {
-            Name = "Agent_Step23_TodoList",
-            ProjectPath = "samples/02-agents/Agents/Agent_Step23_TodoList",
-            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
-            MustContain =
-            [
-                "User:",
-                "Agent:",
-                "--- Current todo list ---",
-            ],
-            ExpectedOutputDescription =
-            [
-                "The output should show an agent planning a team offsite by breaking the work into a todo list.",
-                "The output should show the todo list being updated as progress is reported (for example marking items complete after the venue is booked and invites are sent) and adjusted when the plan changes to skip catering and add a group hike.",
-                "The current todo list should be printed after each turn, showing item status.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
         // ── AgentSkills ─────────────────────────────────────────────────────
 
         new SampleDefinition
@@ -501,57 +427,6 @@ internal static class AgentsSamples
             ],
         },
 
-        new SampleDefinition
-        {
-            Name = "AgentWithMemory_Step06_MemoryUsingAgentMemory",
-            ProjectPath = "samples/02-agents/AgentWithMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory",
-            RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
-            OptionalEnvironmentVariables = ["AZURE_OPENAI_API_KEY", "FOUNDRY_MODEL", "FOUNDRY_EMBEDDING_MODEL", "NEO4J_URI", "NEO4J_USER", "NEO4J_PASSWORD"],
-            SkipReason = "Requires a running Neo4j instance; standalone sample outside the repo's CPM build.",
-        },
-
-        new SampleDefinition
-        {
-            Name = "AgentWithMemory_Step07_FileMemoryProvider",
-            ProjectPath = "samples/02-agents/AgentWithMemory/AgentWithMemory_Step07_FileMemoryProvider",
-            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
-            MustContain =
-            [
-                "Memory files will be written to:",
-                "=== First conversation ===",
-                "=== Memory files on disk ===",
-                "=== Second conversation (new session) ===",
-            ],
-            ExpectedOutputDescription =
-            [
-                "The output should acknowledge that the user is vegetarian and travels with a dog, indicating the agent stored these preferences.",
-                "The memory files section should list at least one memory file written by the agent, such as a file about the user's preferences.",
-                "The second conversation should recommend a hotel and a restaurant in Paris that are consistent with the remembered preferences, for example a pet-friendly hotel and a restaurant with vegetarian options, even though it is a new session.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
-        new SampleDefinition
-        {
-            Name = "AgentWithMemory_Step08_MemoryUsingCosmosNoSql",
-            ProjectPath = "samples/02-agents/AgentWithMemory/AgentWithMemory_Step08_MemoryUsingCosmosNoSql",
-            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT", "COSMOS_ENDPOINT"],
-            OptionalEnvironmentVariables = ["FOUNDRY_MODEL", "FOUNDRY_EMBEDDING_MODEL", "COSMOS_DATABASE_NAME"],
-            MustContain =
-            [
-                "First session:",
-                "Second session (recalling prior chat history from Cosmos DB):",
-            ],
-            ExpectedOutputDescription =
-            [
-                "The output should contain two joke responses.",
-                "The first joke should be about a pirate (as explicitly requested).",
-                "The second joke should also be pirate-themed or similar to what the user likes, since chat history from the first session should be recalled from Cosmos DB.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
         // ── AgentWithRAG ────────────────────────────────────────────────────
 
         new SampleDefinition
@@ -878,19 +753,6 @@ internal static class AgentsSamples
             ],
         },
 
-        new SampleDefinition
-        {
-            Name = "Agent_With_GitHubCopilot_BYOK",
-            ProjectPath = "samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot_BYOK",
-            RequiredEnvironmentVariables = ["BYOK_BASE_URL", "BYOK_API_KEY"],
-            OptionalEnvironmentVariables = ["BYOK_PROVIDER_TYPE", "BYOK_MODEL_ID"],
-            ExpectedOutputDescription =
-            [
-                "The output should contain a user prompt and a response about the benefits of BYOK.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
         new SampleDefinition
         {
             Name = "Agent_With_GoogleGemini",

dotnet/eng/verify-samples/GetStartedSamples.cs

@@ -92,5 +92,14 @@ internal static class GetStartedSamples
                 "The output should not contain error messages or stack traces.",
             ],
         },
+
+        new SampleDefinition
+        {
+            Name = "06_host_your_agent",
+            ProjectPath = "samples/01-get-started/06_host_your_agent",
+            RequiredEnvironmentVariables = ["FOUNDRY_PROJECT_ENDPOINT"],
+            OptionalEnvironmentVariables = ["FOUNDRY_MODEL"],
+            SkipReason = "Requires Azure Functions Core Tools runtime and starts a web server.",
+        },
     ];
 }

dotnet/global.json

@@ -1,6 +1,6 @@
 {
     "sdk": {
-        "version": "10.0.302",
+        "version": "10.0.301",
         "rollForward": "minor",
         "allowPrerelease": false
     },

dotnet/nuget.config

@@ -1,6 +1,12 @@
 <?xml version="1.0" encoding="utf-8"?>
 <configuration>
   <packageSources>
+    <clear />
     <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
   </packageSources>
+  <packageSourceMapping>
+    <packageSource key="nuget.org">
+      <package pattern="*" />
+    </packageSource>
+  </packageSourceMapping>
 </configuration>

dotnet/nuget/nuget-package.props

@@ -1,14 +1,14 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.17.0</VersionPrefix>
+    <VersionPrefix>1.13.0</VersionPrefix>
     <RCNumber>1</RCNumber>
-    <DateSuffix>260804</DateSuffix>
+    <DateSuffix>260703</DateSuffix>
     <PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
     <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).$(DateSuffix).1</PackageVersion>
     <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.$(DateSuffix).1</PackageVersion>
     <PackageVersion Condition="'$(IsReleased)' == 'true'">$(VersionPrefix)</PackageVersion>
-    <GitTag>1.17.0</GitTag>
+    <GitTag>1.13.0</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/01-get-started/06_host_your_agent/06_host_your_agent.csproj

@@ -0,0 +1,30 @@
+<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.Identity" />
+  </ItemGroup>
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+  </ItemGroup>
+</Project>

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

@@ -0,0 +1,41 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to host an AI agent with Azure Functions (DurableAgents).
+//
+// Prerequisites:
+//   - Azure Functions Core Tools
+//   - Foundry project endpoint and credentials
+//
+// Environment variables:
+//   FOUNDRY_PROJECT_ENDPOINT
+//   FOUNDRY_MODEL (defaults to "gpt-5.4-mini")
+//
+// Run with: func start
+// Then call: POST http://localhost:7071/api/agents/HostedAgent/run
+
+using Azure.AI.Projects;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+
+var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT")
+    ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-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 AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
+    .AsAIAgent(model: model, 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/01-get-started/06_host_your_agent/README.md

@@ -1,3 +0,0 @@
-# Azure Functions Hosting Sample Has Moved
-
-The Azure Functions hosting tutorial is now maintained as the [single-agent Durable Agent sample](https://github.com/microsoft/agent-framework-durable-extension/tree/main/dotnet/samples/DurableAgents/AzureFunctions/01_SingleAgent).

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

@@ -228,7 +228,7 @@ dotnet run
 
 `ConversationId` keeps request/response continuity. It is not proof that the caller owns that conversation. In multi-user deployments, authenticate each AG-UI request and authorize conversation access using your application's real boundary, such as the authenticated user, tenant, or workspace.
 
-If your ASP.NET Core host shares session storage across users, pair `MapAGUI` with an isolation strategy such as `UseClaimsBasedAgentIsolation(...)` so the storage key includes a principal-specific dimension instead of relying on the conversation identifier alone.
+If your ASP.NET Core host shares session storage across users, pair `MapAGUI` with an isolation strategy such as `UseClaimsBasedSessionIsolation(...)` so the storage key includes a principal-specific dimension instead of relying on the conversation identifier alone.
 
 ## Troubleshooting
 

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

@@ -11,9 +11,9 @@ builder.Services.AddHttpClient().AddLogging();
 builder.Services.AddAGUIServer();
 
 // WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register an AgentIsolationKeyProvider to scope sessions by principal in multi-user
+// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
 // deployments, e.g.:
-// builder.Services.UseClaimsBasedAgentIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
 
 WebApplication app = builder.Build();
 

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

@@ -17,9 +17,9 @@ builder.Services.ConfigureHttpJsonOptions(options =>
 builder.Services.AddAGUIServer();
 
 // WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register an AgentIsolationKeyProvider to scope sessions by principal in multi-user
+// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
 // deployments, e.g.:
-// builder.Services.UseClaimsBasedAgentIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
 
 WebApplication app = builder.Build();
 

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

@@ -11,9 +11,9 @@ builder.Services.AddHttpClient().AddLogging();
 builder.Services.AddAGUIServer();
 
 // WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register an AgentIsolationKeyProvider to scope sessions by principal in multi-user
+// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
 // deployments, e.g.:
-// builder.Services.UseClaimsBasedAgentIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
 
 WebApplication app = builder.Build();
 

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

@@ -28,9 +28,9 @@ builder.Services.ConfigureHttpJsonOptions(options =>
 builder.Services.AddAGUIServer();
 
 // WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register an AgentIsolationKeyProvider to scope sessions by principal in multi-user
+// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
 // deployments, e.g.:
-// builder.Services.UseClaimsBasedAgentIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
 
 WebApplication app = builder.Build();
 

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

@@ -18,9 +18,9 @@ builder.Services.AddAGUIServer();
 builder.WebHost.UseUrls("http://localhost:8888");
 
 // WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register an AgentIsolationKeyProvider to scope sessions by principal in multi-user
+// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
 // deployments, e.g.:
-// builder.Services.UseClaimsBasedAgentIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
 
 WebApplication app = builder.Build();
 

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

@@ -44,12 +44,6 @@ See the README.md for each sample for the prerequisites for that sample.
 | --- | --- |
 | [Custom Implementation](./custom/Agent_With_CustomImplementation/) | Create an AIAgent with a custom implementation |
 
-### [Dapr](./dapr/)
-
-| Sample | Description |
-| --- | --- |
-| [Agent with Dapr](./dapr/Agent_With_Dapr/) | Create an AIAgent using Dapr's Conversation building block as the inference backend |
-
 ### [Foundry](./foundry/)
 
 See [foundry/README.md](./foundry/README.md) for the full list of Foundry agent samples,
@@ -60,7 +54,6 @@ covering basics, function tools, structured output, middleware, MCP, code interp
 | Sample | Description |
 | --- | --- |
 | [GitHub Copilot](./github-copilot/Agent_With_GitHubCopilot/) | Create an AIAgent using GitHub Copilot SDK |
-| [GitHub Copilot BYOK](./github-copilot/Agent_With_GitHubCopilot_BYOK/) | Route GitHub Copilot agent requests through your own endpoint (Bring Your Own Key) |
 
 ### [Google Gemini](./google-gemini/)
 

dotnet/samples/02-agents/AgentProviders/dapr/Agent_With_Dapr/Agent_With_Dapr.csproj

@@ -1,29 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <CentralPackageTransitivePinningEnabled>false</CentralPackageTransitivePinningEnabled>
-    <NoWarn>$(NoWarn);DAPR_CONVERSATION</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Dapr.AI.Microsoft.Extensions" />
-    <!--
-      Dapr.AI.Microsoft.Extensions depends on Microsoft.Extensions.* 10.0.8, which is higher than the
-      versions pinned centrally in Directory.Packages.props. Central transitive pinning is disabled above
-      for this sample and these two direct references are overridden to that minimum. Remove the overrides
-      (and the CentralPackageTransitivePinningEnabled setting) once the central versions are >= 10.0.8.
-    -->
-    <PackageReference Include="Microsoft.Extensions.DependencyInjection" VersionOverride="10.0.8" />
-    <PackageReference Include="Microsoft.Extensions.Hosting" VersionOverride="10.0.8" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentProviders/dapr/Agent_With_Dapr/Components/conversation-ollama.yaml

@@ -1,11 +0,0 @@
-apiVersion: dapr.io/v1alpha1
-kind: Component
-metadata:
-  name: ollama
-spec:
-  type: conversation.ollama
-  metadata:
-    - name: model
-      value: llama3.2
-    - name: cacheTTL
-      value: 10m

dotnet/samples/02-agents/AgentProviders/dapr/Agent_With_Dapr/Program.cs

@@ -1,36 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to create and use a simple AI agent with Dapr as the backend.
-// Dapr's Conversation building block is used here to route inference to Ollama.
-
-using Dapr.AI.Conversation.Extensions;
-using Dapr.AI.Microsoft.Extensions;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-using Microsoft.Extensions.DependencyInjection;
-using Microsoft.Extensions.Hosting;
-
-// The Dapr sidecar's gRPC endpoint. This must match the --dapr-grpc-port used when starting
-// the sidecar (see this sample's README). Override it with the DAPR_GRPC_ENDPOINT environment
-// variable if you run the sidecar on a different port.
-var daprGrpcEndpoint = Environment.GetEnvironmentVariable("DAPR_GRPC_ENDPOINT") ?? "http://localhost:3501";
-
-// Register the Dapr Conversation client with dependency injection.
-var app = Host.CreateDefaultBuilder()
-    .ConfigureServices(services =>
-    {
-        // Configure the gRPC endpoint for the Dapr sidecar.
-        services.AddDaprConversationClient((_, builder) => builder.UseGrpcEndpoint(daprGrpcEndpoint));
-        // Provide the name of the Conversation component loaded in the sidecar to use.
-        services.AddDaprChatClient(opt => opt.ConversationComponentName = "ollama");
-    }).Build();
-
-// Get an instance of the Dapr chat client from the dependency injection container.
-using var scope = app.Services.CreateScope();
-var daprChatClient = scope.ServiceProvider.GetRequiredService<IChatClient>();
-
-// Use this chat client to construct an AIAgent.
-AIAgent agent = daprChatClient.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
-
-// Invoke the agent and output the text result.
-Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));

dotnet/samples/02-agents/AgentProviders/dapr/Agent_With_Dapr/README.md

@@ -1,37 +0,0 @@
-# Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- Docker installed and running on your machine
-- Ollama installed
-- Dapr CLI installed ([instructions](https://docs.dapr.io/getting-started/install-dapr-cli/))
-
-You'll need to download a model from [Ollama's library](https://ollama.com/library) to get started. Open
-a terminal and run the following, replacing `<model_name>` with the name of the model you want to use from
-Ollama's library (e.g., `llama3.2`).
-
-```powershell
-ollama run <model_name>
-```
-
-Once it has downloaded and started running, update the component bundled with this example
-in `./Components/conversation-ollama.yaml` to reflect the name of the model you just installed, modifying the value of
-the `model` metadata property, then save your changes and close the file.
-
-Next, start your Dapr sidecar and tell it where it can look for your components. If launching from this project's directory,
-run the following; otherwise, replace `./Components` with the path to your components directory.
-
-```powershell
-dapr run --app-id agents --resources-path ./Components --dapr-grpc-port 3501
-```
-
-The sample connects to the sidecar at `http://localhost:3501` by default. If you start the sidecar on a
-different gRPC port, set the `DAPR_GRPC_ENDPOINT` environment variable to match before running the sample.
-
-Because the Dapr sidecar needs to continue running while your application is running, please open another terminal
-window and run the following command from this project's directory to start the demo.
-
-```powershell
-dotnet run
-```

dotnet/samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot_BYOK/Agent_With_GitHubCopilot_BYOK.csproj

@@ -1,20 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);GHCP001</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="GitHub.Copilot.SDK" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.GitHub.Copilot\Microsoft.Agents.AI.GitHub.Copilot.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot_BYOK/Program.cs

@@ -1,52 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to configure a GitHub Copilot agent with BYOK (Bring Your Own Key),
-// routing requests through your own endpoint (OpenAI, Azure OpenAI, Anthropic, or an
-// OpenAI-compatible service such as vLLM/LiteLLM/Ollama) instead of the GitHub Copilot backend.
-//
-// SECURITY NOTE: BYOK uses static credentials (no automatic token refresh) and usage is tracked
-// by your provider rather than GitHub. Keep API keys out of source control; load them from
-// environment variables or a secret store, as shown here.
-
-using GitHub.Copilot;
-using Microsoft.Agents.AI;
-
-string providerType = Environment.GetEnvironmentVariable("BYOK_PROVIDER_TYPE") ?? "openai";
-string baseUrl = Environment.GetEnvironmentVariable("BYOK_BASE_URL")
-    ?? throw new InvalidOperationException("The BYOK_BASE_URL environment variable is not set.");
-string apiKey = Environment.GetEnvironmentVariable("BYOK_API_KEY")
-    ?? throw new InvalidOperationException("The BYOK_API_KEY environment variable is not set.");
-string modelId = Environment.GetEnvironmentVariable("BYOK_MODEL_ID") ?? "gpt-4o";
-
-// Create and start a Copilot client
-await using CopilotClient copilotClient = new();
-await copilotClient.StartAsync();
-
-// Provider routes the session through a custom endpoint instead of the GitHub Copilot backend.
-// Type is "openai", "azure", or "anthropic". WireApi "completions" is the broadly compatible
-// choice; use "responses" for providers that support the OpenAI Responses API. BYOK also
-// requires Model to be set at the session level.
-SessionConfig sessionConfig = new()
-{
-    Model = modelId,
-    Provider = new ProviderConfig
-    {
-        Type = providerType,
-        WireApi = "completions",
-        BaseUrl = baseUrl,
-        ApiKey = apiKey,
-        ModelId = modelId,
-    },
-};
-
-AIAgent agent = copilotClient.AsAIAgent(sessionConfig, ownsClient: true);
-
-string prompt = "What are the benefits of using your own API keys with an agent framework?";
-Console.WriteLine($"User: {prompt}\n");
-
-await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(prompt))
-{
-    Console.Write(update);
-}
-
-Console.WriteLine();

dotnet/samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot_BYOK/README.md

@@ -1,76 +0,0 @@
-# About BYOK (Bring Your Own Key)
-
-BYOK lets you route model requests through your own API keys and infrastructure instead of the
-GitHub Copilot backend — useful for enterprise deployments, custom hosting, or direct billing
-arrangements. See [GitHub's BYOK documentation](https://docs.github.com/en/copilot/how-tos/copilot-sdk/auth/byok)
-for the full list of supported providers and configuration options.
-
-# Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- GitHub Copilot CLI installed and available in your PATH (or provide a custom path)
-- An OpenAI, Azure OpenAI, Anthropic, or OpenAI-compatible endpoint and API key (e.g. vLLM,
-  LiteLLM, or Ollama)
-
-## Setting up GitHub Copilot CLI
-
-To use this sample, you need to have the GitHub Copilot CLI installed. You can install it by
-following the instructions at:
-https://github.com/github/copilot-sdk
-
-## Environment Variables
-
-| Variable | Description | Default |
-|----------|-------------|---------|
-| `BYOK_PROVIDER_TYPE` | Provider type (`openai`, `azure`, `anthropic`) | `openai` |
-| `BYOK_BASE_URL` | Base URL of your provider endpoint | *(required)* |
-| `BYOK_API_KEY` | API key for that endpoint | *(required)* |
-| `BYOK_MODEL_ID` | Model name to request (e.g. "gpt-4o") | `gpt-4o` |
-
-## Running the Sample
-
-```powershell
-dotnet run
-```
-
-The sample will:
-
-1. Create a GitHub Copilot client with default options
-2. Configure a session with a `Provider` (BYOK) pointing at your own endpoint instead of the
-   default GitHub Copilot backend
-3. Send a message to the agent
-4. Stream the response
-
-## Advanced Usage
-
-```csharp
-using GitHub.Copilot;
-using Microsoft.Agents.AI;
-
-await using CopilotClient copilotClient = new();
-await copilotClient.StartAsync();
-
-SessionConfig sessionConfig = new()
-{
-    // BYOK requires Model to also be set at the session level.
-    Model = "gpt-4o",
-    Provider = new ProviderConfig
-    {
-        Type = "azure", // or "openai", "anthropic"
-        WireApi = "completions", // or "responses"
-        BaseUrl = "https://api.example.com/v1",
-        ApiKey = "your-api-key",
-        ModelId = "your-model-id", // "deployment-name"
-    },
-};
-
-AIAgent agent = copilotClient.AsAIAgent(sessionConfig, ownsClient: true);
-AgentResponse response = await agent.RunAsync("Hello!");
-Console.WriteLine(response);
-```
-
-> **Note:** BYOK uses static credentials only — dynamic token refresh is not automatic, and
-> model availability depends entirely on your provider's offerings. Usage is tracked through
-> your provider rather than GitHub.

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/AgentWithMemory_Step01_ChatHistoryMemory.csproj

@@ -10,7 +10,7 @@
 
   <ItemGroup>
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="CommunityToolkit.VectorData.InMemory" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/Program.cs

@@ -5,10 +5,10 @@
 
 using Azure.AI.Projects;
 using Azure.Identity;
-using CommunityToolkit.VectorData.InMemory;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
 using Microsoft.Extensions.VectorData;
+using Microsoft.SemanticKernel.Connectors.InMemory;
 
 var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
 var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/AgentWithMemory_Step05_BoundedChatHistory.csproj

@@ -10,7 +10,7 @@
 
   <ItemGroup>
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="CommunityToolkit.VectorData.InMemory" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/Program.cs

@@ -7,10 +7,10 @@
 
 using Azure.AI.Projects;
 using Azure.Identity;
-using CommunityToolkit.VectorData.InMemory;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
 using Microsoft.Extensions.VectorData;
+using Microsoft.SemanticKernel.Connectors.InMemory;
 using SampleApp;
 
 var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory.csproj

@@ -1,78 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <!--
-    This project is part of the repo's solution and targets .NET 10 like the rest of the repo, but it
-    intentionally opts out of Central Package Management and source-referencing Microsoft.Agents.AI:
-    it consumes the *published* AgentMemory NuGet packages (which target Microsoft.Agents.AI 1.9.0)
-    instead. Run it with `dotnet run` from this folder.
-
-    ManagePackageVersionsCentrally is off, but dotnet/Directory.Packages.props still unconditionally
-    merges its repo-wide analyzer PackageReference items (no Version, resolved via CPM) into every
-    project that imports it — including this one. With CPM off here those versions can't resolve
-    (NU1015), so each is removed and re-added with an explicit version below (matching
-    AgentWithRAG_Step05_Neo4jGraphRAG, which hits the same issue). xunit.analyzers/Moq.Analyzers are
-    dropped rather than re-added since this project has no test code.
-  -->
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-    <ManagePackageVersionsCentrally>false</ManagePackageVersionsCentrally>
-    <RootNamespace>AgentMemoryShoppingAssistant</RootNamespace>
-    <!-- OPENAI001: the OpenAIClient(AuthenticationPolicy, options) ctor used for keyless Azure auth is
-         marked experimental in the OpenAI SDK (the MAF Foundry samples use the same pattern). -->
-    <NoWarn>$(NoWarn);OPENAI001</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Remove="Microsoft.CodeAnalysis.NetAnalyzers" />
-    <PackageReference Remove="Microsoft.VisualStudio.Threading.Analyzers" />
-    <PackageReference Remove="xunit.analyzers" />
-    <PackageReference Remove="Moq.Analyzers" />
-    <PackageReference Remove="Roslynator.Analyzers" />
-    <PackageReference Remove="Roslynator.CodeAnalysis.Analyzers" />
-    <PackageReference Remove="Roslynator.Formatting.Analyzers" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <!-- AgentMemory (published) — an unofficial .NET port of the Neo4j Labs agent-memory library + its
-         Microsoft Agent Framework adapter. -->
-    <PackageReference Include="AgentMemory" Version="1.3.0" />
-    <PackageReference Include="AgentMemory.AgentFramework" Version="1.3.0" />
-    <!-- Microsoft Agent Framework (matches AgentMemory's target) + the OpenAI/Foundry chat & embedding clients. -->
-    <PackageReference Include="Microsoft.Agents.AI" Version="1.9.0" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.5.1" />
-    <PackageReference Include="Azure.Identity" Version="1.21.0" />
-    <PackageReference Include="Microsoft.Extensions.Hosting" Version="9.0.17" />
-    <!-- Transitive dependency of Microsoft.Agents.AI; pinned explicitly (CPM is off here) because the
-         version it would otherwise resolve to, 1.12.0, has a known moderate severity vulnerability
-         (GHSA-g94r-2vxg-569j) that fails the repo's NuGet audit (NU1902 as error). Matches the version
-         pinned in dotnet/Directory.Packages.props. -->
-    <PackageReference Include="OpenTelemetry.Api" Version="1.15.3" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100">
-      <PrivateAssets>all</PrivateAssets>
-      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
-    </PackageReference>
-    <PackageReference Include="Microsoft.VisualStudio.Threading.Analyzers" Version="17.14.15">
-      <PrivateAssets>all</PrivateAssets>
-      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
-    </PackageReference>
-    <PackageReference Include="Roslynator.Analyzers" Version="4.14.1">
-      <PrivateAssets>all</PrivateAssets>
-      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
-    </PackageReference>
-    <PackageReference Include="Roslynator.CodeAnalysis.Analyzers" Version="4.14.1">
-      <PrivateAssets>all</PrivateAssets>
-      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
-    </PackageReference>
-    <PackageReference Include="Roslynator.Formatting.Analyzers" Version="4.14.1">
-      <PrivateAssets>all</PrivateAssets>
-      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
-    </PackageReference>
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory/ProductCatalog.cs

@@ -1,195 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.ComponentModel;
-using System.Text;
-using AgentMemory.Neo4j.Infrastructure;
-using Microsoft.Extensions.AI;
-using Neo4j.Driver;
-
-namespace AgentMemoryShoppingAssistant;
-
-/// <summary>
-/// A small retail product graph plus the shopping tools that query it — the .NET counterpart of the
-/// Python retail-assistant's <c>get_product_tools</c>. Products live in Neo4j as <c>:Product</c> nodes
-/// linked to <c>:ProductCategory</c> / <c>:ProductBrand</c> nodes, so recommendations and "related
-/// products" come from graph traversals. Cypher runs through the public <see cref="INeo4jTransactionRunner"/>
-/// seam. Exposed as <see cref="AIFunction"/>s so a real chat model can call them during a run — the same
-/// way <c>Neo4jMemoryContextProvider</c> surfaces the memory tools through <c>AIContext.Tools</c> when
-/// <c>ExposeMemoryToolsFromContextProvider</c> is enabled.
-/// </summary>
-public sealed class ProductCatalog(INeo4jTransactionRunner runner)
-{
-    private readonly INeo4jTransactionRunner _runner = runner;
-
-    private static readonly (string Name, string Category, string Brand, double Price, bool InStock, int Inventory, string Description, int Popularity)[] s_seed =
-    [
-        ("Nike Air Zoom Pegasus 40", "shoes",       "Nike",   130, true,  40, "Everyday running shoe with responsive cushioning.",   95),
-        ("Nike Revolution 7",        "shoes",       "Nike",    70, true,  60, "Lightweight, budget-friendly running shoe.",          80),
-        ("Adidas Ultraboost Light",  "shoes",       "Adidas",  190, true, 25, "Premium running shoe with Boost cushioning.",         90),
-        ("Asics Gel-Kayano 31",      "shoes",       "Asics",   165, false,  0, "Stability running shoe for overpronation.",           70),
-        ("Sony WH-1000XM5",          "electronics", "Sony",    350, true,  18, "Industry-leading noise-cancelling headphones.",       92),
-        ("Bose QuietComfort Ultra",  "electronics", "Bose",    330, true,  12, "Premium noise-cancelling over-ear headphones.",       85),
-        ("Apple AirPods Pro 2",      "electronics", "Apple",   250, true,  50, "Wireless earbuds with active noise cancellation.",    88),
-        ("Garmin Forerunner 265",    "electronics", "Garmin",  450, true,   9, "GPS running watch with training metrics.",            78),
-        ("Nike Dri-FIT Running Tee", "apparel",     "Nike",     35, true, 120, "Breathable, moisture-wicking running shirt.",         65),
-        ("Adidas Own the Run Jacket","apparel",     "Adidas",   80, true,  33, "Lightweight, water-repellent running jacket.",        60),
-    ];
-
-    /// <summary>Seeds the sample product graph (idempotent — safe to run every start).</summary>
-    public Task SeedAsync(CancellationToken ct = default) => this._runner.WriteAsync(async r =>
-    {
-        await r.RunAsync(
-            """
-            UNWIND $products AS row
-            MERGE (p:Product {name: row.name})
-              SET p.category = row.category, p.brand = row.brand, p.price = row.price,
-                  p.in_stock = row.in_stock, p.inventory = row.inventory,
-                  p.description = row.description, p.popularity = row.popularity
-            MERGE (c:ProductCategory {name: row.category})
-            MERGE (b:ProductBrand {name: row.brand})
-            MERGE (p)-[:IN_CATEGORY]->(c)
-            MERGE (p)-[:MADE_BY]->(b)
-            """,
-            new
-            {
-                products = s_seed.Select(p => (object)new Dictionary<string, object>
-                {
-                    ["name"] = p.Name, ["category"] = p.Category, ["brand"] = p.Brand, ["price"] = p.Price,
-                    ["in_stock"] = p.InStock, ["inventory"] = p.Inventory, ["description"] = p.Description,
-                    ["popularity"] = p.Popularity,
-                }).ToList(),
-            });
-    }, ct);
-
-    // ── Tools (also usable directly in the scripted demo) ────────────────────────────────────────
-
-    [Description("Search the product catalog for items matching a query, with optional category, brand, and max-price filters.")]
-    public Task<string> SearchProductsAsync(
-        [Description("What the customer is looking for, e.g. 'running shoes'.")] string query,
-        [Description("Optional category filter: shoes, electronics, apparel.")] string? category = null,
-        [Description("Optional brand filter, e.g. 'Nike'.")] string? brand = null,
-        [Description("Optional maximum price.")] double? maxPrice = null,
-        CancellationToken ct = default) => this._runner.ReadAsync(async r =>
-    {
-        const string Cypher =
-            """
-            MATCH (p:Product)
-            WHERE ANY(w IN split(toLower($query), ' ') WHERE
-                      toLower(p.name) CONTAINS w OR toLower(p.description) CONTAINS w OR toLower(p.category) CONTAINS w)
-              AND ($category IS NULL OR p.category = $category)
-              AND ($brand    IS NULL OR p.brand = $brand)
-              AND ($maxPrice IS NULL OR p.price <= $maxPrice)
-            RETURN p.name AS name, p.brand AS brand, p.category AS category,
-                   p.price AS price, p.in_stock AS inStock
-            ORDER BY p.popularity DESC
-            LIMIT 10
-            """;
-        var cursor = await r.RunAsync(Cypher, new { query, category, brand, maxPrice });
-        return Render("Matches", await cursor.ToListAsync());
-    }, ct);
-
-    [Description("Get personalized product recommendations, optionally biased toward a preferred brand and/or category.")]
-    public Task<string> GetRecommendationsAsync(
-        [Description("The customer's preferred brand (from their saved preferences), if known.")] string? preferredBrand = null,
-        [Description("Optional category to recommend within.")] string? category = null,
-        [Description("How many recommendations to return.")] int limit = 5,
-        CancellationToken ct = default) => this._runner.ReadAsync(async r =>
-    {
-        const string Cypher =
-            """
-            MATCH (p:Product)
-            WHERE p.in_stock = true
-              AND ($category IS NULL OR p.category = $category)
-            WITH p, (CASE WHEN $preferredBrand IS NOT NULL AND p.brand = $preferredBrand THEN 1 ELSE 0 END) AS onBrand
-            RETURN p.name AS name, p.brand AS brand, p.category AS category, p.price AS price, p.in_stock AS inStock
-            ORDER BY onBrand DESC, p.popularity DESC
-            LIMIT $limit
-            """;
-        var cursor = await r.RunAsync(Cypher, new { preferredBrand, category, limit });
-        var header = preferredBrand is null ? "Recommended for you" : $"Recommended for you (favoring {preferredBrand})";
-        return Render(header, await cursor.ToListAsync());
-    }, ct);
-
-    [Description("Find products related to a given product — same category or same brand — via graph traversal.")]
-    public Task<string> GetRelatedProductsAsync(
-        [Description("The exact product name to find related items for.")] string productName,
-        CancellationToken ct = default) => this._runner.ReadAsync(async r =>
-    {
-        const string Cypher =
-            """
-            MATCH (p:Product {name: $productName})
-            CALL (p) {
-                MATCH (p)-[:IN_CATEGORY]->(c)<-[:IN_CATEGORY]-(rel:Product) WHERE rel <> p
-                RETURN rel, 'same category' AS reason
-              UNION
-                MATCH (p)-[:MADE_BY]->(b)<-[:MADE_BY]-(rel:Product) WHERE rel <> p
-                RETURN rel, 'same brand' AS reason
-            }
-            WITH rel, collect(DISTINCT reason) AS reasons
-            RETURN rel.name AS name, rel.brand AS brand, rel.category AS category,
-                   rel.price AS price, rel.in_stock AS inStock, rel.popularity AS popularity,
-                   reduce(s = '', x IN reasons | CASE WHEN s = '' THEN x ELSE s + ', ' + x END) AS reason
-            ORDER BY popularity DESC
-            LIMIT 5
-            """;
-        var cursor = await r.RunAsync(Cypher, new { productName });
-        return Render($"Related to {productName}", await cursor.ToListAsync());
-    }, ct);
-
-    [Description("Check whether a product is in stock and how many units are available.")]
-    public Task<string> CheckInventoryAsync(
-        [Description("The exact product name to check.")] string productName,
-        CancellationToken ct = default) => this._runner.ReadAsync(async r =>
-    {
-        var cursor = await r.RunAsync(
-            "MATCH (p:Product {name: $productName}) RETURN p.name AS name, p.in_stock AS inStock, p.inventory AS inventory",
-            new { productName });
-        var rows = await cursor.ToListAsync();
-        if (rows.Count == 0)
-        {
-            return $"'{productName}' was not found in the catalog.";
-        }
-
-        var rec = rows[0];
-        var inStock = rec["inStock"].As<bool>();
-        return inStock
-            ? $"{rec["name"].As<string>()}: In stock ({rec["inventory"].As<long>()} available)."
-            : $"{rec["name"].As<string>()}: Out of stock.";
-    }, ct);
-
-    /// <summary>The retail tools as MAF/MEAI <see cref="AIFunction"/>s (attach to the agent's ChatOptions.Tools).</summary>
-    public IReadOnlyList<AIFunction> CreateAIFunctions() =>
-    [
-        AIFunctionFactory.Create(this.SearchProductsAsync, "search_products",
-            "Search the product catalog with optional category/brand/price filters."),
-        AIFunctionFactory.Create(this.GetRecommendationsAsync, "get_recommendations",
-            "Get personalized recommendations, optionally favoring a preferred brand/category."),
-        AIFunctionFactory.Create(this.GetRelatedProductsAsync, "get_related_products",
-            "Find products related to a given product via the graph."),
-        AIFunctionFactory.Create(this.CheckInventoryAsync, "check_inventory",
-            "Check stock/availability for a product."),
-    ];
-
-    private static string Render(string header, List<IRecord> rows)
-    {
-        if (rows.Count == 0)
-        {
-            return $"{header}: (no matches)";
-        }
-
-        var sb = new StringBuilder().Append(header).Append(':').AppendLine();
-        foreach (var rec in rows)
-        {
-            var stock = rec["inStock"].As<bool>() ? "in stock" : "out of stock";
-            var reason = rec.Keys.Contains("reason") ? $"  [{rec["reason"].As<string>()}]" : string.Empty;
-            sb.Append("  • ")
-              .Append(rec["name"].As<string>())
-              .Append(" — ").Append(rec["brand"].As<string>())
-              .Append(", ").Append(rec["category"].As<string>())
-              .Append(", $").Append(rec["price"].As<double>().ToString("0"))
-              .Append(", ").Append(stock).Append(reason)
-              .AppendLine();
-        }
-        return sb.ToString().TrimEnd();
-    }
-}

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory/Program.cs

@@ -1,156 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// Agent Memory — Shopping Assistant (Microsoft Agent Framework, .NET)
-//
-// A .NET port of the Neo4j Labs "agent-memory" retail-assistant example
-// (https://github.com/neo4j-labs/agent-memory/tree/main/examples/microsoft_agent_retail_assistant,
-// referenced from https://learn.microsoft.com/en-us/agent-framework/integrations/neo4j-memory).
-//
-// A shopping assistant that LEARNS a customer's preferences and RECOMMENDS products via graph
-// traversal, backed by DURABLE memory in Neo4j. It uses the AgentMemory library — a .NET port of the
-// Python memory provider, not an officially recognized Neo4j integration — and its Microsoft Agent
-// Framework adapter:
-//   • Neo4jMemoryContextProvider  (an AIContextProvider)  — recalls memory before each run, persists
-//     after, and (via ExposeMemoryToolsFromContextProvider) surfaces the memory tools (search/remember/
-//     recall) itself through AIContext.Tools
-//   • ProductCatalog.CreateAIFunctions()                  — retail tools over a Neo4j :Product graph
-//
-// Configuration (environment variables, matching the other Foundry samples):
-//   AZURE_OPENAI_ENDPOINT     (required)  — your Azure OpenAI / Foundry endpoint
-//   AZURE_OPENAI_API_KEY      (optional)  — API key; if unset, DefaultAzureCredential (az login) is used
-//   FOUNDRY_MODEL             (default: gpt-4o-mini)            — chat model deployment
-//   FOUNDRY_EMBEDDING_MODEL   (default: text-embedding-3-small) — embedding model deployment (1536 dims)
-//   NEO4J_URI                 (default: bolt://localhost:7687)
-//   NEO4J_USER                (default: neo4j)
-//   NEO4J_PASSWORD            (default: password)
-
-using System.ClientModel;
-using System.ClientModel.Primitives;
-using AgentMemory.Abstractions.Services;
-using AgentMemory.AgentFramework;
-using AgentMemory.Core;
-using AgentMemory.Core.Stubs;
-using AgentMemory.Neo4j.Infrastructure;
-using AgentMemoryShoppingAssistant;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-using Microsoft.Extensions.DependencyInjection;
-using Microsoft.Extensions.DependencyInjection.Extensions;
-using Microsoft.Extensions.Hosting;
-using Microsoft.Extensions.Logging;
-using OpenAI;
-
-// ── Model + credentials (Azure OpenAI / Foundry, via env vars) ───────────────────────────────────
-var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
-    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var apiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
-var chatModel = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-4o-mini";
-var embeddingModel = Environment.GetEnvironmentVariable("FOUNDRY_EMBEDDING_MODEL") ?? "text-embedding-3-small";
-
-var clientOptions = new OpenAIClientOptions { Endpoint = new Uri(endpoint) };
-// API key if provided, otherwise Azure credential (dev: `az login`).
-// 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.
-OpenAIClient openAI = string.IsNullOrWhiteSpace(apiKey)
-    ? new OpenAIClient(new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"), clientOptions)
-    : new OpenAIClient(new ApiKeyCredential(apiKey), clientOptions);
-
-IChatClient chatClient = openAI.GetChatClient(chatModel).AsIChatClient();
-IEmbeddingGenerator<string, Embedding<float>> embeddingGenerator =
-    openAI.GetEmbeddingClient(embeddingModel).AsIEmbeddingGenerator();
-
-// ── AgentMemory (Neo4j) DI ───────────────────────────────────────────────────────────────────────
-var builder = Host.CreateApplicationBuilder(args);
-builder.Logging.SetMinimumLevel(LogLevel.Warning);
-
-builder.Services.AddNeo4jAgentMemory(options =>
-{
-    options.Uri = Environment.GetEnvironmentVariable("NEO4J_URI") ?? "bolt://localhost:7687";
-    options.Username = Environment.GetEnvironmentVariable("NEO4J_USER") ?? "neo4j";
-    options.Password = Environment.GetEnvironmentVariable("NEO4J_PASSWORD") ?? "password";
-});
-builder.Services.AddAgentMemoryCore(_ => { });
-builder.Services.AddSingleton<IClock, SystemClock>();
-builder.Services.AddSingleton<IIdGenerator, GuidIdGenerator>();
-builder.Services.TryAddSingleton(chatClient);
-builder.Services.TryAddSingleton(embeddingGenerator);
-builder.Services.AddAgentMemoryFramework(options =>
-{
-    options.AutoExtractOnPersist = true;
-    options.ContextFormat.IncludeEntities = true;
-    options.ContextFormat.IncludeFacts = true;
-    options.ContextFormat.IncludePreferences = true;
-    options.ExposeMemoryToolsFromContextProvider = true;
-});
-
-var host = builder.Build();
-await using var hostDisposal = (IAsyncDisposable)host;
-
-await using var scope = host.Services.CreateAsyncScope();
-var sp = scope.ServiceProvider;
-
-// ── Setup: schema + sample product graph ─────────────────────────────────────────────────────────
-var catalog = new ProductCatalog(sp.GetRequiredService<INeo4jTransactionRunner>());
-await sp.GetRequiredService<ISchemaBootstrapper>().BootstrapAsync();
-await catalog.SeedAsync();
-Console.WriteLine("Neo4j schema ready; sample products loaded.\n");
-
-// ── The shopping assistant: context provider (recall + memory tools) + product tools ─────────────
-var memoryProvider = sp.GetRequiredService<Neo4jMemoryContextProvider>();
-var productTools = catalog.CreateAIFunctions();
-
-// WithMemoryOwnerScoping(sp) scopes the whole invocation (recall, tool calls, persistence) to the
-// owner set via WithMemoryIdentity below — no manual BeginOwnerScope wrapping needed per turn.
-AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions
-{
-    Name = "ShoppingAssistant",
-    ChatOptions = new ChatOptions
-    {
-        ModelId = chatModel,
-        Instructions =
-            "You are a helpful shopping assistant for an online store. Learn and remember the customer's "
-          + "preferences (brands, budget, categories) using the memory tools, and recommend products that "
-          + "fit using the product tools. Explain why each recommendation matches, and suggest alternatives "
-          + "when something is out of stock.",
-        // memoryProvider appends the six memory tools (search_memory, remember_fact, ...) to this list
-        // on every model call via AIContext.Tools — see ExposeMemoryToolsFromContextProvider above.
-        Tools = [.. productTools],
-    },
-    AIContextProviders = [memoryProvider],
-}).WithMemoryOwnerScoping(sp);
-
-const string Shopper = "shopper-amelia";
-
-// ── Session A — the customer shops; the model calls the tools and remembers preferences ──────────
-Console.WriteLine(">> Session A\n");
-var sessionA = (await agent.CreateSessionAsync())
-    .WithMemoryIdentity(userId: Shopper, sessionId: "cart-a", applicationId: "retail-demo");
-
-foreach (var turn in new[]
-{
-    "Hi! I'm looking for running shoes. I love Nike and want to stay under $150.",
-    "Nice — what would you recommend for me, and is anything I might like out of stock?",
-})
-{
-    await SayAsync(agent, sessionA, turn);
-}
-
-// ── Session B — a NEW session for the same shopper still recalls her preferences ─────────────────
-Console.WriteLine(">> Session B — a brand-new session; memory is durable\n");
-var sessionB = (await agent.CreateSessionAsync())
-    .WithMemoryIdentity(userId: Shopper, sessionId: "cart-b", applicationId: "retail-demo");
-
-await SayAsync(agent, sessionB, "I'm back — remind me what I like and suggest something new.");
-
-Console.WriteLine("=== Done. Preferences + messages persist in Neo4j across sessions. ===");
-
-// One conversational turn. Owner scoping (recall, tool calls, and persistence) is guaranteed
-// automatically by the WithMemoryOwnerScoping-wrapped agent — no manual BeginOwnerScope needed here.
-static async Task SayAsync(AIAgent agent, AgentSession session, string message)
-{
-    Console.WriteLine($"USER      : {message}");
-    var response = await agent.RunAsync(message, session);
-    Console.WriteLine($"ASSISTANT : {response.Text}\n");
-}

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step06_MemoryUsingAgentMemory/README.md

@@ -1,75 +0,0 @@
-# Agent with Memory Using AgentMemory — Shopping Assistant
-
-A **.NET port of the Neo4j Labs "agent-memory" retail assistant** example
-([`microsoft_agent_retail_assistant`](https://github.com/neo4j-labs/agent-memory/tree/main/examples/microsoft_agent_retail_assistant),
-referenced from the [Learn integration page](https://learn.microsoft.com/en-us/agent-framework/integrations/neo4j-memory)).
-A shopping assistant that **learns a customer's preferences** and **recommends products via graph
-traversal**, backed by durable memory in Neo4j.
-
-It uses the [`AgentMemory`](https://www.nuget.org/packages/AgentMemory) library — a .NET port of the
-(Python-only) Neo4j Labs memory provider, **not an officially recognized Neo4j integration** — through
-its Microsoft Agent Framework adapter.
-
-## Features Demonstrated
-
-- **`Neo4jMemoryContextProvider`** (an `AIContextProvider`) — recalls relevant memory before each run,
-  persists new memory after (the same bidirectional pattern as the official provider), and — via
-  `ExposeMemoryToolsFromContextProvider = true` — surfaces the memory tools (search / remember / recall)
-  itself through `AIContext.Tools`.
-- **`ProductCatalog.CreateAIFunctions()`** — retail tools over a Neo4j `:Product` graph (search /
-  recommend / related / inventory).
-- Preference learning that persists across a brand-new `AgentSession` for the same shopper.
-- Graph-based product recommendations and "related products" via traversal.
-
-## Prerequisites
-
-- [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
-- A **Neo4j 5.x** instance (the sample bootstraps the schema and seeds sample products)
-- An **Azure OpenAI / Foundry** deployment (a chat model + an embedding model)
-
-
-## Configuration
-
-Set the following environment variables:
-
-| Variable | Required | Default | Purpose |
-|---|---|---|---|
-| `AZURE_OPENAI_ENDPOINT` | ✅ | — | Azure OpenAI / Foundry endpoint |
-| `AZURE_OPENAI_API_KEY` | — | — | API key; if unset, `DefaultAzureCredential` (`az login`) is used |
-| `FOUNDRY_MODEL` | — | `gpt-4o-mini` | chat model deployment |
-| `FOUNDRY_EMBEDDING_MODEL` | — | `text-embedding-3-small` | embedding model deployment (1536 dims) |
-| `NEO4J_URI` | — | `bolt://localhost:7687` | Neo4j bolt URI |
-| `NEO4J_USER` | — | `neo4j` | Neo4j user |
-| `NEO4J_PASSWORD` | — | `password` | Neo4j password |
-
-> Ensure the embedding model's dimensions match the Neo4j vector-index dimensions AgentMemory bootstraps
-> (default 1536, which matches `text-embedding-3-small`).
-
-## Run the Sample
-
-```bash
-docker run -d --name neo4j -p 7474:7474 -p 7687:7687 -e NEO4J_AUTH=neo4j/password neo4j:5.26
-
-export AZURE_OPENAI_ENDPOINT="https://<your-resource>.openai.azure.com"
-export AZURE_OPENAI_API_KEY="<your-key>"          # or omit and `az login`
-export FOUNDRY_MODEL="gpt-4o-mini"
-
-dotnet run
-```
-
-## Expected Output
-
-1. The sample bootstraps the Neo4j schema and seeds a small product graph (`:Product`,
-   `:ProductCategory`, `:ProductBrand` nodes).
-2. **Session A** — the shopper says she wants running shoes, loves Nike, and has a $150 budget; the
-   agent calls the memory tools to remember this and the product tools to recommend matching items.
-3. **Session B** — a brand-new session for the same shopper (`shopper-amelia`) still recalls her
-   preferences and can suggest something new, because memory persists in Neo4j across sessions.
-
-## Note on packaging
-
-This sample is part of the repo's solution and targets .NET 10 like every other sample, but it
-deliberately opts out of **Central Package Management** and does **not** reference `Microsoft.Agents.AI`
-via the repo's in-source project — it consumes the **published** `AgentMemory` NuGet packages instead
-(which target `Microsoft.Agents.AI` 1.9.0). A version that references the repo's current
-`Microsoft.Agents.AI` source would require AgentMemory to be rebuilt against that version first.

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step07_FileMemoryProvider/AgentWithMemory_Step07_FileMemoryProvider.csproj

@@ -1,19 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.Identity" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step07_FileMemoryProvider/Program.cs

@@ -1,98 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to give an agent file-based memory using the FileMemoryProvider.
-// The FileMemoryProvider exposes a set of tools to the agent (write, read, delete, list, grep and replace)
-// that allow it to store memories as individual files in an AgentFileStore.
-// Because the files are stored outside of the conversation, the agent can recall them
-// in later conversations, even after the original chat history is gone.
-//
-// The sample also shows how to control the folder that memory files are written to,
-// by supplying a state initializer callback that sets the working folder for each session.
-
-#pragma warning disable MAAI001 // AgentFileStore and its implementations are experimental.
-
-using Azure.AI.Projects;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-
-var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
-
-// The id of the user that we are storing memories for.
-// It is used below to give each user their own memory folder.
-const string UserId = "UID1";
-
-// Create the file store that the FileMemoryProvider will use to persist memory files.
-// Here we use a file system backed store rooted at a local folder called "agent-memory",
-// but any AgentFileStore implementation can be used, e.g. InMemoryAgentFileStore or a custom
-// implementation backed by blob storage.
-var memoryRoot = Path.Combine(AppContext.BaseDirectory, "agent-memory");
-var fileStore = new FileSystemAgentFileStore(memoryRoot);
-
-// The working folder that memories for this user will be written to, relative to the store root.
-// The folder you choose determines the scope and lifetime of the memories:
-// - A stable folder, like the per-user one below, gives you durable memories that are shared by
-//   every session for that user. That is what allows the second conversation further down to
-//   recall what the user said in the first.
-// - A unique folder per session gives you memories that are isolated to a single session, e.g.
-//   generate one in the state initializer callback below:
-//       _ => new FileMemoryState { WorkingFolder = Guid.NewGuid().ToString() }
-var workingFolder = $"users/{UserId}";
-
-Console.WriteLine($"Memory files will be written to: {Path.Combine(memoryRoot, workingFolder)}");
-Console.WriteLine();
-
-// Create the file memory provider.
-// The second parameter is a state initializer callback that is invoked whenever the provider
-// cannot find existing state in a session, i.e. typically the first time it is used with a new session.
-// It allows us to configure the folder that memory files for that session are written to.
-// If no callback is supplied, the working folder defaults to the root of the store,
-// which means all sessions share a single, flat set of memory files.
-using var fileMemoryProvider = new FileMemoryProvider(
-    fileStore,
-    _ => new FileMemoryState { WorkingFolder = workingFolder });
-
-// Create the agent and attach the FileMemoryProvider so that the agent gets the file memory tools.
-AIAgent agent = new AIProjectClient(
-        new Uri(endpoint),
-        // 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.
-        new DefaultAzureCredential())
-    .AsAIAgent(new ChatClientAgentOptions
-    {
-        ChatOptions = new()
-        {
-            ModelId = deploymentName,
-            Instructions = "You are a helpful travel assistant. Remember what the user tells you about themselves so that you can give better recommendations later."
-        },
-        Name = "TravelAssistant",
-        AIContextProviders = [fileMemoryProvider],
-    });
-
-// First conversation: tell the agent something worth remembering.
-// The agent should use the file_memory_write tool to store it as a file in the working folder.
-AgentSession firstSession = await agent.CreateSessionAsync();
-Console.WriteLine("=== First conversation ===");
-Console.WriteLine(await agent.RunAsync(
-    "I'm vegetarian and I always travel with my dog. Please remember this for future trips.",
-    firstSession));
-Console.WriteLine();
-
-// Show the memory files that the agent created on disk.
-Console.WriteLine("=== Memory files on disk ===");
-foreach (var file in Directory.EnumerateFiles(Path.Combine(memoryRoot, workingFolder)))
-{
-    Console.WriteLine(Path.GetFileName(file));
-}
-
-Console.WriteLine();
-
-// Second conversation: a brand new session with no chat history from the first conversation.
-// The provider surfaces the memory index to the agent, and the agent can read the memory files
-// using the file_memory_read tool, so it can still recall the user's preferences.
-AgentSession secondSession = await agent.CreateSessionAsync();
-Console.WriteLine("=== Second conversation (new session) ===");
-Console.WriteLine(await agent.RunAsync(
-    "Suggest a hotel and a restaurant for my trip to Paris next week.",
-    secondSession));

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step07_FileMemoryProvider/README.md

@@ -1,68 +0,0 @@
-# File Based Memory with FileMemoryProvider
-
-This sample demonstrates how to give an agent file-based memory using the `FileMemoryProvider`.
-
-The `FileMemoryProvider` is an `AIContextProvider` that exposes a set of memory tools to the agent, allowing the agent to decide what to remember and when to recall it. Each memory is stored as an individual file in an `AgentFileStore`, so memories survive beyond the lifetime of a single conversation.
-
-## Concepts
-
-- **`FileMemoryProvider`**: An `AIContextProvider` that adds the following tools to the agent:
-
-  | Tool | Description |
-  |---|---|
-  | `file_memory_write` | Write a memory file with a name, content and optional description. |
-  | `file_memory_read` | Read the content of a memory file by name. |
-  | `file_memory_delete` | Delete a memory file by name. |
-  | `file_memory_ls` | List all memory files with their descriptions. |
-  | `file_memory_grep` | Search memory file contents using a regular expression. |
-  | `file_memory_replace` | Replace occurrences of a substring within a memory file. |
-  | `file_memory_replace_lines` | Replace whole lines within a memory file. |
-
-  The provider also maintains a `memories.md` index file, which it injects into the conversation so the agent knows which memories are available without having to list them first.
-
-- **`AgentFileStore`**: The pluggable storage abstraction used by the provider. This sample uses `FileSystemAgentFileStore` to store memories on the local disk, but `InMemoryAgentFileStore` or a custom implementation (e.g. backed by blob storage) can be used instead.
-
-- **`FileMemoryState`**: The per-session state of the provider. Its `WorkingFolder` property determines the folder, relative to the store root, that memory files are written to.
-
-## Configuring the memory folder
-
-By default, all sessions share the root folder of the store, which means every session reads and writes the same flat set of memory files.
-
-To scope memories, e.g. per user, per tenant or per session, pass a state initializer callback to the `FileMemoryProvider` constructor. The callback receives the `AgentSession` and is invoked whenever the provider cannot find existing state in that session, i.e. typically the first time the provider is used with a new session:
-
-```csharp
-using var fileMemoryProvider = new FileMemoryProvider(
-    fileStore,
-    session => new FileMemoryState { WorkingFolder = $"users/{userId}" });
-```
-
-In this sample, memories are written to `agent-memory/users/UID1` under the application's base directory. Because the folder is derived from a fixed user id rather than the session, a new session for the same user picks up the memories written by earlier sessions.
-
-## Prerequisites
-
-- [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
-- A Microsoft Foundry project with a chat model deployment
-- Run `az login` to authenticate with `DefaultAzureCredential`
-
-## Configuration
-
-Set the following environment variables:
-
-| Variable | Description | Default |
-|---|---|---|
-| `FOUNDRY_PROJECT_ENDPOINT` | Your Foundry project endpoint | *(required)* |
-| `FOUNDRY_MODEL` | Chat model deployment name | `gpt-5.4-mini` |
-
-## Running the Sample
-
-```bash
-dotnet run
-```
-
-## How it Works
-
-1. A `FileSystemAgentFileStore` is created, rooted at a local `agent-memory` folder.
-2. A `FileMemoryProvider` is created over that store, with a state initializer that puts the memories for the current user in their own working folder.
-3. The provider is attached to the agent via `ChatClientAgentOptions.AIContextProviders`, which gives the agent the `file_memory_*` tools and instructions for using them.
-4. In the first conversation, the user shares some preferences and the agent calls `file_memory_write` to store them as a file in the working folder. The sample then lists the files that were created on disk.
-5. In the second conversation, a brand new session is created with no chat history from the first conversation. The provider injects the memory index into the conversation, and the agent calls `file_memory_read` to recall the stored preferences when making its recommendations.

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step08_MemoryUsingCosmosNoSql/AgentWithMemory_Step08_MemoryUsingCosmosNoSql.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="CommunityToolkit.VectorData.CosmosNoSql" />
-    <PackageReference Include="Microsoft.Azure.Cosmos" />
-    <PackageReference Include="Newtonsoft.Json" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step08_MemoryUsingCosmosNoSql/Program.cs

@@ -1,92 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to persist chat history in Azure Cosmos DB for NoSQL using the ChatHistoryMemoryProvider.
-// The agent can then use chat history from prior conversations to inform responses in new conversations.
-
-using System.Text.Json;
-using Azure.AI.Projects;
-using Azure.Identity;
-using CommunityToolkit.VectorData.CosmosNoSql;
-using Microsoft.Agents.AI;
-using Microsoft.Azure.Cosmos;
-using Microsoft.Extensions.AI;
-using Microsoft.Extensions.VectorData;
-
-var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
-var embeddingDeploymentName = Environment.GetEnvironmentVariable("FOUNDRY_EMBEDDING_MODEL") ?? "text-embedding-3-large";
-var embeddingDimensions = 3072;
-if (Environment.GetEnvironmentVariable("FOUNDRY_EMBEDDING_DIMENSIONS") is string embeddingDimensionsValue &&
-    (!int.TryParse(embeddingDimensionsValue, out embeddingDimensions) || embeddingDimensions <= 0))
-{
-    throw new InvalidOperationException("FOUNDRY_EMBEDDING_DIMENSIONS must be a positive integer.");
-}
-var cosmosEndpoint = Environment.GetEnvironmentVariable("COSMOS_ENDPOINT") ?? throw new InvalidOperationException("COSMOS_ENDPOINT is not set.");
-var cosmosDatabaseName = Environment.GetEnvironmentVariable("COSMOS_DATABASE_NAME") ?? "agent-memory";
-
-// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-DefaultAzureCredential credential = new();
-AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
-
-using CosmosClient cosmosClient = new(
-    cosmosEndpoint,
-    credential,
-    new CosmosClientOptions
-    {
-        UseSystemTextJsonSerializerWithOptions = JsonSerializerOptions.Default,
-    });
-
-DatabaseResponse databaseResponse = await cosmosClient.CreateDatabaseIfNotExistsAsync(cosmosDatabaseName);
-
-VectorStore vectorStore = new CosmosNoSqlVectorStore(
-    databaseResponse.Database,
-    new CosmosNoSqlVectorStoreOptions
-    {
-        JsonSerializerOptions = JsonSerializerOptions.Default,
-        EmbeddingGenerator = aiProjectClient
-            .GetProjectOpenAIClient()
-            .GetEmbeddingClient(embeddingDeploymentName)
-            .AsIEmbeddingGenerator(),
-    });
-
-var userId = $"sample-{Guid.NewGuid():N}";
-
-// Create the agent and add the ChatHistoryMemoryProvider to store chat messages in Cosmos DB.
-AIAgent agent = aiProjectClient
-    .AsAIAgent(new ChatClientAgentOptions
-    {
-        ChatOptions = new() { ModelId = deploymentName, Instructions = "You are good at telling jokes." },
-        Name = "Joker",
-        AIContextProviders = [new ChatHistoryMemoryProvider(
-            vectorStore,
-            collectionName: "chathistory",
-            vectorDimensions: embeddingDimensions,
-            // Callback to configure the initial state of the ChatHistoryMemoryProvider.
-            // The ChatHistoryMemoryProvider stores its state in the AgentSession and this callback
-            // will be called whenever the ChatHistoryMemoryProvider cannot find existing state in the session,
-            // typically the first time it is used with a new session.
-            _ => new ChatHistoryMemoryProvider.State(
-                // Configure the scope values under which chat messages will be stored.
-                // In this case, we are using a per-run user ID and a unique session ID for each new session.
-                storageScope: new() { UserId = userId, SessionId = Guid.NewGuid().ToString("N") },
-                // Configure the scope which would be used to search for relevant prior messages.
-                // In this case, we are searching for any messages for the user across all sessions.
-                searchScope: new() { UserId = userId }))]
-    });
-
-// Start a new session for the agent conversation.
-AgentSession session = await agent.CreateSessionAsync();
-
-// Run the agent with the session that stores conversation history in Cosmos DB.
-Console.WriteLine("First session:");
-Console.WriteLine(await agent.RunAsync("I like jokes about Pirates. Tell me a joke about a pirate.", session));
-
-// Start a second session. Since we configured the search scope to be across all sessions for the user,
-// the agent should remember that the user likes pirate jokes.
-AgentSession session2 = await agent.CreateSessionAsync();
-
-// Run the agent with the second session.
-Console.WriteLine("Second session (recalling prior chat history from Cosmos DB):");
-Console.WriteLine(await agent.RunAsync("Tell me a joke that I might like.", session2));

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step08_MemoryUsingCosmosNoSql/README.md

@@ -1,41 +0,0 @@
-# Agent with Memory Using Azure Cosmos DB for NoSQL
-
-This sample uses `ChatHistoryMemoryProvider` with `CosmosNoSqlVectorStore` to persist chat history in Azure Cosmos DB for NoSQL and recall relevant messages in a new agent session.
-
-## Features Demonstrated
-
-- Authenticating to Microsoft Foundry and Azure Cosmos DB with `DefaultAzureCredential`
-- Storing chat messages in an Azure Cosmos DB vector store
-- Creating the configured database and chat-history container when they do not exist
-- Recalling relevant chat history across agent sessions
-
-## Prerequisites
-
-1. [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
-2. A Microsoft Foundry project with:
-   - A chat model deployment (the default is `gpt-5.4-mini`)
-   - A `text-embedding-3-large` deployment with 3,072 dimensions
-3. An Azure Cosmos DB for NoSQL account with [vector search enabled](https://learn.microsoft.com/azure/cosmos-db/nosql/vector-search)
-4. An Azure identity that can create the configured database and container and read and write items
-5. Azure CLI authentication (`az login`)
-
-## Configuration
-
-Set the following environment variables:
-
-| Variable | Description | Default |
-|---|---|---|
-| `FOUNDRY_PROJECT_ENDPOINT` | Microsoft Foundry project endpoint | *(required)* |
-| `COSMOS_ENDPOINT` | Azure Cosmos DB account endpoint | *(required)* |
-| `FOUNDRY_MODEL` | Chat model deployment name | `gpt-5.4-mini` |
-| `FOUNDRY_EMBEDDING_MODEL` | Embedding model deployment name | `text-embedding-3-large` |
-| `FOUNDRY_EMBEDDING_DIMENSIONS` | Number of dimensions produced by the embedding deployment | `3072` |
-| `COSMOS_DATABASE_NAME` | Database used to store agent memory | `agent-memory` |
-
-## Run the Sample
-
-```bash
-dotnet run
-```
-
-The first session stores the user's preference for pirate jokes. The second session uses a different `AgentSession` but the same per-run user search scope, allowing the agent to retrieve that preference from Azure Cosmos DB without recalling data from earlier sample runs.

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

@@ -9,9 +9,6 @@ These samples show how to create an agent with the Agent Framework that uses Mem
 |[Custom Memory Implementation](../../01-get-started/04_memory/)|This sample demonstrates how to create a custom memory component and attach it to an agent.|
 |[Memory with Microsoft Foundry](./AgentWithMemory_Step04_MemoryUsingFoundry/)|This sample demonstrates how to create and run an agent that uses Microsoft Foundry's managed memory service to extract and retrieve individual memories.|
 |[Bounded Chat History with Overflow](./AgentWithMemory_Step05_BoundedChatHistory/)|This sample demonstrates how to create a bounded chat history provider that overflows older messages to a vector store and recalls them as memories.|
-|[Memory Using AgentMemory](./AgentWithMemory_Step06_MemoryUsingAgentMemory/)|This sample demonstrates a retail shopping assistant built with [`AgentMemory`](https://www.nuget.org/packages/AgentMemory), an unofficial .NET port of the Neo4j Labs graph-memory provider, to learn customer preferences and recommend products via graph traversal.|
-|[File Based Memory](./AgentWithMemory_Step07_FileMemoryProvider/)|This sample demonstrates how to use the `FileMemoryProvider` to give an agent tools for storing and recalling memories as files, and how to configure the folder that those memory files are written to.|
-|[Memory with Azure Cosmos DB for NoSQL](./AgentWithMemory_Step08_MemoryUsingCosmosNoSql/)|This sample demonstrates how to persist and retrieve chat history across sessions with Azure Cosmos DB for NoSQL.|
 
 > **See also**: [Memory Search with Foundry Agents](../AgentProviders/foundry/Agent_Step22_MemorySearch/) - demonstrates using the built-in Memory Search tool with Microsoft Foundry agents.
 

dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/AgentWithRAG_Step01_BasicTextRAG.csproj

@@ -10,7 +10,7 @@
 
   <ItemGroup>
     <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="CommunityToolkit.VectorData.InMemory" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" />
   </ItemGroup>
 
   <ItemGroup>