Update missed package status file.

Promote agent-framework-declarative package to RC
.NET - Fix missing id on function_call_output in Foundry Hosting (#6246 )
2026-06-16 21:04:09 +08:00 · 2026-06-02 09:39:47 -07:00 · 2026-06-01 17:20:17 -07:00 · 2026-06-01 18:43:45 +00:00 · 2026-06-01 17:53:56 +00:00 · 2026-06-01 17:20:39 +00:00
478 changed files with 26678 additions and 13883 deletions
@@ -1,15 +1,19 @@
 {
  "name": "Python 3",
-  "image": "mcr.microsoft.com/devcontainers/python:3.13-bullseye",
+  "image": "mcr.microsoft.com/devcontainers/python:3.14-bookworm",
  "features": {
    "ghcr.io/va-h/devcontainers-features/uv:1": {},
-    "ghcr.io/devcontainers/features/azure-cli:1.2.8": {}
+    "ghcr.io/devcontainers/features/docker-in-docker:3": {},
+    "ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
+    "ghcr.io/devcontainers/features/copilot-cli:1": {}
  },
  "postCreateCommand": "bash ./devsetup.sh",
  "workspaceFolder": "/workspaces/agent-framework/python/",
  "customizations": {
    "vscode": {
      "extensions": [
+        "GitHub.copilot",
+        "GitHub.vscode-github-actions",
        "ms-python.python",
        "ms-windows-ai-studio.windows-ai-studio",
        "littlefoxteam.vscode-python-test-adapter"
@@ -8,7 +8,7 @@ ignorePatterns:
  - pattern: "./blob"
  - pattern: "./issues"
  - pattern: "./discussions"
-  - pattern: "./pulls"
+  - pattern: "./pull"
  - pattern: "https:\/\/platform.openai.com"
  - pattern: "http:\/\/localhost"
  - pattern: "http:\/\/127.0.0.1"
@@ -0,0 +1,64 @@
+name: Free runner disk space
+description: |
+  Reclaims disk space on GitHub-hosted Ubuntu runners by removing
+  pre-installed toolchains we do not use (Android SDK, GHC/Haskell,
+  CodeQL bundle), Docker images, and swap. Also relocates the
+  NuGet package cache to /mnt (which has ~75 GB free vs ~14 GB
+  on /). No-op on non-Linux runners.
+
+runs:
+  using: composite
+  steps:
+    - name: Free disk space (Linux only)
+      if: runner.os == 'Linux'
+      shell: bash
+      run: |
+        set -euo pipefail
+        echo "::group::Disk usage before cleanup"
+        df -h /
+        echo "::endgroup::"
+
+        # Remove pre-installed toolchains we never use on this repo's
+        # dotnet/python jobs. These reclaim ~25-30 GB on ubuntu-latest.
+        sudo rm -rf \
+          /usr/local/lib/android \
+          /usr/share/dotnet/sdk/NuGetFallbackFolder \
+          /opt/ghc \
+          /usr/local/.ghcup \
+          /opt/hostedtoolcache/CodeQL \
+          /opt/hostedtoolcache/PyPy \
+          /opt/hostedtoolcache/Ruby \
+          /opt/hostedtoolcache/go \
+          /usr/local/share/boost \
+          /usr/local/share/powershell \
+          /usr/local/share/chromium \
+          /usr/local/share/vcpkg \
+          /usr/local/lib/heroku \
+          "${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/PyPy" \
+          "${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/Ruby" \
+          "${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/go" || true
+
+        # Drop docker images shipped on the runner; jobs that need
+        # docker pull what they need fresh.
+        if command -v docker >/dev/null 2>&1; then
+          sudo docker image prune --all --force >/dev/null 2>&1 || true
+        fi
+
+        # Disable swap to free its backing file.
+        sudo swapoff -a || true
+        sudo rm -f /mnt/swapfile /swapfile || true
+
+        echo "::group::Disk usage after cleanup"
+        df -h /
+        echo "::endgroup::"
+
+    - name: Relocate NuGet package cache to /mnt (Linux only)
+      if: runner.os == 'Linux'
+      shell: bash
+      run: |
+        set -euo pipefail
+        sudo mkdir -p /mnt/nuget
+        sudo chown -R "$USER":"$USER" /mnt/nuget
+        echo "NUGET_PACKAGES=/mnt/nuget" >> "$GITHUB_ENV"
+        echo "Relocated NuGet package cache to /mnt/nuget"
+        df -h /mnt || true
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+function getPullRequest(context) {
+  const pullRequest = context.payload.pull_request;
+  if (!pullRequest?.number || !pullRequest.user?.login) {
+    throw new Error('This script must be run from a pull_request_target event.');
+  }
+
+  return {
+    author: pullRequest.user.login,
+    labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
+    number: pullRequest.number,
+  };
+}
+
+async function ensureLabel({ github, owner, repo, labelName }) {
+  try {
+    await github.rest.issues.getLabel({
+      owner,
+      repo,
+      name: labelName,
+    });
+  } catch (error) {
+    if (error.status !== 404) {
+      throw error;
+    }
+
+    try {
+      await github.rest.issues.createLabel({
+        owner,
+        repo,
+        name: labelName,
+        color: 'd93f0b',
+        description: 'Community author has exceeded the open pull request limit.',
+      });
+    } catch (createError) {
+      if (createError.status !== 422) {
+        throw createError;
+      }
+    }
+  }
+}
+
+function hasLabel(labels, labelName) {
+  if (!labelName) {
+    return false;
+  }
+
+  return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
+}
+
+function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount }) {
+  return [
+    `Thank you for your contribution, @${author}.`,
+    '',
+    `To keep the review queue manageable, we currently limit community contributors to ${maxOpenPrs} `
+      + `open pull requests at a time. This PR would put you at ${openPrCount} open pull requests, `
+      + 'so we are closing it automatically.',
+    '',
+    'Please focus on getting your existing PRs reviewed, merged, or closed before opening another one. '
+      + `If a maintainer asked you to open this PR, they can apply the \`${exemptLabelName}\` label and reopen it.`,
+  ].join('\n');
+}
+
+async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
+  const query = `repo:${owner}/${repo} is:pr is:open author:${author}`;
+  const response = await github.rest.search.issuesAndPullRequests({
+    q: query,
+    per_page: 100,
+  });
+
+  const indexedPrNumbers = response.data.items.map((item) => item.number);
+  const currentPrIsIndexed = indexedPrNumbers.includes(pullRequestNumber);
+  if (currentPrIsIndexed || response.data.total_count >= 100) {
+    return response.data.total_count;
+  }
+
+  return response.data.total_count + 1;
+}
+
+async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
+  const { owner, repo } = context.repo;
+  const { author, labels, number } = getPullRequest(context);
+
+  if (hasLabel(labels, exemptLabelName)) {
+    core.info(`PR #${number} has the ${exemptLabelName} label; skipping open PR limit enforcement.`);
+    return {
+      author,
+      closed: false,
+      exempt: true,
+      openPrCount: null,
+    };
+  }
+
+  const openPrCount = await getOpenPrCount({
+    github,
+    owner,
+    repo,
+    author,
+    pullRequestNumber: number,
+  });
+
+  if (openPrCount <= maxOpenPrs) {
+    core.info(
+      `${author} has ${openPrCount} open pull request(s), which is within the limit of ${maxOpenPrs}.`,
+    );
+    return {
+      author,
+      closed: false,
+      openPrCount,
+    };
+  }
+
+  await ensureLabel({
+    github,
+    owner,
+    repo,
+    labelName,
+  });
+
+  await github.rest.issues.addLabels({
+    owner,
+    repo,
+    issue_number: number,
+    labels: [labelName],
+  });
+
+  await github.rest.issues.createComment({
+    owner,
+    repo,
+    issue_number: number,
+    body: buildLimitMessage({
+      author,
+      exemptLabelName,
+      maxOpenPrs,
+      openPrCount,
+    }),
+  });
+
+  await github.rest.pulls.update({
+    owner,
+    repo,
+    pull_number: number,
+    state: 'closed',
+  });
+
+  core.info(
+    `${author} has ${openPrCount} open pull request(s), which exceeds the limit of ${maxOpenPrs}. `
+      + `Closed PR #${number}.`,
+  );
+
+  return {
+    author,
+    closed: true,
+    openPrCount,
+  };
+}
+
+module.exports = {
+  buildLimitMessage,
+  enforcePrLimit,
+  getOpenPrCount,
+};
@@ -0,0 +1,286 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+/**
+ * Tests for pr_limit_moderation.js.
+ *
+ * Run with: node --test .github/tests/test_pr_limit_moderation.js
+ */
+
+const { describe, it } = require('node:test');
+const assert = require('node:assert/strict');
+
+const { enforcePrLimit } = require('../scripts/pr_limit_moderation.js');
+
+
+// ---------------------------------------------------------------------------
+// Helpers
+// ---------------------------------------------------------------------------
+
+function createContext({ author = 'community-user', labels = [], number = 123 } = {}) {
+  return {
+    repo: {
+      owner: 'microsoft',
+      repo: 'agent-framework',
+    },
+    payload: {
+      pull_request: {
+        number,
+        labels: labels.map((name) => ({ name })),
+        user: {
+          login: author,
+        },
+      },
+    },
+  };
+}
+
+function createCore() {
+  const messages = [];
+  return {
+    messages,
+    info(message) {
+      messages.push(message);
+    },
+  };
+}
+
+function createGithub({ totalCount, itemNumbers, labelExists = true }) {
+  const calls = [];
+
+  return {
+    calls,
+    rest: {
+      search: {
+        async issuesAndPullRequests(params) {
+          calls.push({ api: 'search.issuesAndPullRequests', params });
+          return {
+            data: {
+              total_count: totalCount,
+              items: itemNumbers.map((number) => ({ number })),
+            },
+          };
+        },
+      },
+      issues: {
+        async getLabel(params) {
+          calls.push({ api: 'issues.getLabel', params });
+          if (!labelExists) {
+            const error = new Error('Not Found');
+            error.status = 404;
+            throw error;
+          }
+          return { data: { name: params.name } };
+        },
+        async createLabel(params) {
+          calls.push({ api: 'issues.createLabel', params });
+          return { data: { name: params.name } };
+        },
+        async addLabels(params) {
+          calls.push({ api: 'issues.addLabels', params });
+          return { data: [] };
+        },
+        async createComment(params) {
+          calls.push({ api: 'issues.createComment', params });
+          return { data: { id: 1 } };
+        },
+      },
+      pulls: {
+        async update(params) {
+          calls.push({ api: 'pulls.update', params });
+          return { data: { state: params.state } };
+        },
+      },
+    },
+  };
+}
+
+
+// ---------------------------------------------------------------------------
+// PR limit enforcement
+// ---------------------------------------------------------------------------
+
+describe('PR limit enforcement', () => {
+  it('does not close the PR when the author is at the open PR limit', async () => {
+    const github = createGithub({
+      totalCount: 10,
+      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext(),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, false);
+    assert.equal(result.openPrCount, 10);
+    assert.deepEqual(
+      github.calls.map((call) => call.api),
+      ['search.issuesAndPullRequests'],
+    );
+  });
+
+  it('counts the new PR when search has not indexed it yet', async () => {
+    const github = createGithub({
+      totalCount: 10,
+      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext(),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, true);
+    assert.equal(result.openPrCount, 11);
+    assert.deepEqual(
+      github.calls.map((call) => call.api),
+      [
+        'search.issuesAndPullRequests',
+        'issues.getLabel',
+        'issues.addLabels',
+        'issues.createComment',
+        'pulls.update',
+      ],
+    );
+  });
+
+  it('creates the label when it does not already exist', async () => {
+    const github = createGithub({
+      totalCount: 11,
+      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
+      labelExists: false,
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext(),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, true);
+    assert.deepEqual(
+      github.calls.map((call) => call.api),
+      [
+        'search.issuesAndPullRequests',
+        'issues.getLabel',
+        'issues.createLabel',
+        'issues.addLabels',
+        'issues.createComment',
+        'pulls.update',
+      ],
+    );
+    assert.equal(
+      github.calls.find((call) => call.api === 'issues.createLabel').params.name,
+      'too-many-prs',
+    );
+  });
+
+  it('tolerates a 422 race when creating the label', async () => {
+    const github = createGithub({
+      totalCount: 11,
+      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
+      labelExists: false,
+    });
+    github.rest.issues.createLabel = async (params) => {
+      github.calls.push({ api: 'issues.createLabel', params });
+      const error = new Error('Validation Failed');
+      error.status = 422;
+      throw error;
+    };
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext(),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, true);
+    assert.deepEqual(
+      github.calls.map((call) => call.api),
+      [
+        'search.issuesAndPullRequests',
+        'issues.getLabel',
+        'issues.createLabel',
+        'issues.addLabels',
+        'issues.createComment',
+        'pulls.update',
+      ],
+    );
+  });
+
+  it('uses a diplomatic close message with the configured limit', async () => {
+    const github = createGithub({
+      totalCount: 11,
+      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
+    });
+
+    await enforcePrLimit({
+      github,
+      context: createContext({ author: 'octo-contributor' }),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
+    assert.match(comment, /Thank you for your contribution/);
+    assert.match(comment, /limit community contributors to 10 open pull requests/);
+    assert.match(comment, /@octo-contributor/);
+    assert.match(comment, /`pr-limit-exempt` label and reopen/);
+  });
+
+  it('does not close an exempt PR when it is reopened', async () => {
+    const github = createGithub({
+      totalCount: 11,
+      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext({ labels: ['PR-LIMIT-EXEMPT'] }),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, false);
+    assert.equal(result.exempt, true);
+    assert.equal(result.openPrCount, null);
+    assert.deepEqual(github.calls, []);
+  });
+
+  it('does not over-count when the current PR is not on the first search page', async () => {
+    const github = createGithub({
+      totalCount: 101,
+      itemNumbers: Array.from({ length: 100 }, (_, index) => index + 1),
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext({ number: 123 }),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, true);
+    assert.equal(result.openPrCount, 101);
+  });
+});
@@ -121,6 +121,9 @@ jobs:
              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:
@@ -191,6 +194,9 @@ jobs:
              python
              declarative-agents

+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
      # Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
      - name: Start Azure Cosmos DB Emulator
        if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
@@ -365,6 +371,9 @@ jobs:
            dotnet
            python

+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
      - name: Setup dotnet
        uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
        with:
@@ -452,6 +461,9 @@ jobs:
            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:
@@ -137,6 +137,7 @@ jobs:
        working-directory: ${{ env.DEVFLOW_PATH }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
          SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
          AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
          ISSUE_REPO: ${{ needs.team_check.outputs.repo }}
@@ -0,0 +1,83 @@
+name: Limit community pull requests
+
+on:
+  pull_request_target:
+    types: [opened, reopened]
+
+permissions:
+  contents: read
+  issues: write
+  pull-requests: write
+
+concurrency:
+  group: pr-limit-${{ github.repository }}-${{ github.event.pull_request.user.login }}
+  cancel-in-progress: false
+
+env:
+  MAX_OPEN_PULL_REQUESTS: '10'
+  PR_LIMIT_EXEMPT_LABEL: pr-limit-exempt
+  TOO_MANY_PRS_LABEL: too-many-prs
+
+jobs:
+  team_check:
+    runs-on: ubuntu-latest
+    outputs:
+      is_team_member: ${{ steps.check.outputs.is_team_member }}
+    steps:
+      - name: Checkout scripts
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          sparse-checkout: .github/scripts
+          fetch-depth: 1
+          persist-credentials: false
+
+      - name: Check PR author team membership
+        id: check
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
+        env:
+          TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
+          PR_NUMBER: ${{ github.event.pull_request.number }}
+        with:
+          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,
+            });
+            core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
+            if (isTeamMember) {
+              core.info(`Author ${author} is a team member; skipping open PR limit.`);
+            } else {
+              core.info(`Author ${author} is not a team member; checking open PR limit.`);
+            }
+
+  limit_open_prs:
+    runs-on: ubuntu-latest
+    needs: team_check
+    if: ${{ needs.team_check.outputs.is_team_member == 'false' }}
+    steps:
+      - name: Checkout scripts
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          sparse-checkout: .github/scripts
+          fetch-depth: 1
+          persist-credentials: false
+
+      - name: Enforce open PR limit
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
+        with:
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
+          script: |
+            const { enforcePrLimit } = require('./.github/scripts/pr_limit_moderation.js');
+            await enforcePrLimit({
+              github,
+              context,
+              core,
+              exemptLabelName: process.env.PR_LIMIT_EXEMPT_LABEL,
+              maxOpenPrs: Number.parseInt(process.env.MAX_OPEN_PULL_REQUESTS, 10),
+              labelName: process.env.TOO_MANY_PRS_LABEL,
+            });
@@ -23,6 +23,14 @@ jobs:
        with:
          persist-credentials: false

+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+
+      - name: Install Chrome for Puppeteer
+        run: npx puppeteer browsers install chrome
+
      # Checks the status of hyperlinks in all files
      - name: Run linkspector
        uses: umbrelladocs/action-linkspector@963b6264d7de32c904942a70b488d3407453049e # v1
@@ -173,11 +173,11 @@ new SampleDefinition
 ```csharp
 new SampleDefinition
 {
-    Name = "Workflow_Declarative_GenerateCode",
-    ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
+    Name = "Workflow_Visualization",
+    ProjectPath = "samples/03-workflows/Visualization",
    IsDeterministic = true,
-    MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
-    ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
+    MustContain = ["Generating workflow visualization...", "Mermaid string:", "DiGraph string:"],
+    ExpectedOutputDescription = ["The output should show workflow visualization in Mermaid and DiGraph formats."],
 },
 ```

@@ -22,14 +22,14 @@
    <PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
    <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
    <!-- Azure.* -->
-    <PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.23" />
-    <PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.3" />
-    <PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.4" />
+    <PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.25" />
+    <PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.4" />
+    <PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.5" />
    <PackageVersion Include="Azure.Search.Documents" Version="12.0.0" />
    <PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.2" />
    <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.10" />
    <PackageVersion Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
-    <PackageVersion Include="Azure.Core" Version="1.55.0" />
+    <PackageVersion Include="Azure.Core" Version="1.56.0" />
    <PackageVersion Include="Azure.Identity" Version="1.21.0" />
    <PackageVersion Include="DotNetEnv" Version="3.1.1" />
    <PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.5.0" />
@@ -44,7 +44,7 @@
    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.6" />
    <PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
    <PackageVersion Include="Microsoft.Bcl.Memory" Version="10.0.5" />
-    <PackageVersion Include="System.ClientModel" Version="1.11.0" />
+    <PackageVersion Include="System.ClientModel" Version="1.12.0" />
    <PackageVersion Include="System.CodeDom" Version="10.0.0" />
    <PackageVersion Include="System.Collections.Immutable" Version="10.0.1" />
    <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
@@ -117,17 +117,18 @@
    <Project Path="samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Agent_Step03_ClassBasedSkills.csproj" />
    <Project Path="samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Agent_Step04_MixedSkills.csproj" />
    <Project Path="samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Agent_Step05_SkillsWithDI.csproj" />
+    <Project Path="samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills/Agent_Step06_McpBasedSkills.csproj" />
  </Folder>
  <Folder Name="/Samples/02-agents/Harness/">
    <File Path="samples/02-agents/Harness/README.md" />
+    <Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
+    <Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Shared_Console/Harness_Shared_Console.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Shared_Console_OpenAI/Harness_Shared_Console_OpenAI.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Step01_Research/Harness_Step01_Research.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents/Harness_Step02_Research_WithBackgroundAgents.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Step03_DataProcessing/Harness_Step03_DataProcessing.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Step04_CodeExecution/Harness_Step04_CodeExecution.csproj" />
-    <Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
-    <Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
  </Folder>
  <Folder Name="/Samples/02-agents/AGUI/Step05_StateManagement/">
    <Project Path="samples/02-agents/AGUI/Step05_StateManagement/Client/Client.csproj" />
@@ -173,6 +174,7 @@
    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
+    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Agent_Step26_FoundryToolboxMcpSkills.csproj" />
  </Folder>
  <Folder Name="/Samples/02-agents/Evaluation/">
    <Project Path="samples/02-agents/Evaluation/Evaluation_CustomEvals/Evaluation_CustomEvals.csproj" />
@@ -212,6 +214,7 @@
  </Folder>
  <Folder Name="/Samples/02-agents/ModelContextProtocol/">
    <File Path="samples/02-agents/ModelContextProtocol/README.md" />
+    <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/Agent_MCP_LongRunningTask_Client.csproj" />
    <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Agent_MCP_Server.csproj" />
    <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Agent_MCP_Server_Auth.csproj" />
    <Project Path="samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/FoundryAgent_Hosted_MCP.csproj" />
@@ -240,11 +243,10 @@
    <Project Path="samples/03-workflows/Declarative/ExecuteCode/ExecuteCode.csproj" />
    <Project Path="samples/03-workflows/Declarative/ExecuteWorkflow/ExecuteWorkflow.csproj" />
    <Project Path="samples/03-workflows/Declarative/FunctionTools/FunctionTools.csproj" />
-    <Project Path="samples/03-workflows/Declarative/GenerateCode/GenerateCode.csproj" />
    <Project Path="samples/03-workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
    <Project Path="samples/03-workflows/Declarative/InputArguments/InputArguments.csproj" />
-    <Project Path="samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
    <Project Path="samples/03-workflows/Declarative/InvokeFoundryToolboxMcp/InvokeFoundryToolboxMcp.csproj" />
+    <Project Path="samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
    <Project Path="samples/03-workflows/Declarative/InvokeHttpRequest/InvokeHttpRequest.csproj" />
    <Project Path="samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.csproj" />
    <Project Path="samples/03-workflows/Declarative/Marketing/Marketing.csproj" />
@@ -281,6 +283,7 @@
  </Folder>
  <Folder Name="/Samples/03-workflows/Orchestration/">
    <Project Path="samples/03-workflows/Orchestration/Handoff/Handoff.csproj" />
+    <Project Path="samples/03-workflows/Orchestration/Magentic/Magentic.csproj" />
  </Folder>
  <Folder Name="/Samples/03-workflows/Observability/">
    <Project Path="samples/03-workflows/Observability/ApplicationInsights/ApplicationInsights.csproj" />
@@ -357,6 +360,9 @@
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Handoff/">
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Handoff/HostedWorkflowHandoff.csproj" />
  </Folder>
+  <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" />
@@ -592,15 +598,17 @@
    <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.Harness/Microsoft.Agents.AI.Harness.csproj" />
    <Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Harness/Microsoft.Agents.AI.Harness.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.A2A.AspNetCore/Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Hosting.AspNetCore/Microsoft.Agents.AI.Hosting.AspNetCore.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" />
+    <Project Path="src/Microsoft.Agents.AI.Mcp/Microsoft.Agents.AI.Mcp.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
    <Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
@@ -618,8 +626,8 @@
    <Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
    <Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
    <Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
-    <Project Path="tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj" />
    <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" />
@@ -644,8 +652,8 @@
    <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.UnitTests/Microsoft.Agents.AI.Foundry.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" />
@@ -654,6 +662,7 @@
    <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" />
+    <Project Path="tests/Microsoft.Agents.AI.Mcp.UnitTests/Microsoft.Agents.AI.Mcp.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />
@@ -20,13 +20,17 @@
      "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.AzureFunctions\\Microsoft.Agents.AI.Hosting.AzureFunctions.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.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",
      "src\\Microsoft.Agents.AI.Purview\\Microsoft.Agents.AI.Purview.csproj",
+      "src\\Microsoft.Agents.AI.Tools.Shell\\Microsoft.Agents.AI.Tools.Shell.csproj",
      "src\\Microsoft.Agents.AI.Workflows.Declarative.Foundry\\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj",
+      "src\\Microsoft.Agents.AI.Workflows.Declarative.Mcp\\Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj",
      "src\\Microsoft.Agents.AI.Workflows.Declarative\\Microsoft.Agents.AI.Workflows.Declarative.csproj",
      "src\\Microsoft.Agents.AI.Workflows.Generators\\Microsoft.Agents.AI.Workflows.Generators.csproj",
      "src\\Microsoft.Agents.AI.Workflows\\Microsoft.Agents.AI.Workflows.csproj",
@@ -11,9 +11,6 @@
  <ItemGroup Condition="'$(InjectSharedIntegrationTestAzureCredentialsCode)' == 'true'">
    <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\IntegrationTestsAzureCredentials\*.cs" LinkBase="Shared\IntegrationTestsAzureCredentials" />
  </ItemGroup>
-  <ItemGroup Condition="'$(InjectSharedBuildTestCode)' == 'true'">
-    <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\CodeTests\*.cs" LinkBase="Shared\CodeTests" />
-  </ItemGroup>
  <ItemGroup Condition="'$(InjectSharedWorkflowsExecution)' == 'true'">
    <Compile Include="$(MSBuildThisFileDirectory)\..\..\src\Shared\Workflows\Execution\*.cs" LinkBase="Shared\Workflows" />
  </ItemGroup>
@@ -363,6 +363,25 @@ internal static class AgentsSamples
            ],
        },

+        new SampleDefinition
+        {
+            Name = "Agent_Step06_McpBasedSkills",
+            ProjectPath = "samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills",
+            RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
+            OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
+            MustContain =
+            [
+                "Discovering MCP-based skills",
+                "Agent:",
+            ],
+            ExpectedOutputDescription =
+            [
+                "The output should show the agent converting 26.2 miles to kilometers and 75 kilograms to pounds.",
+                "The response should contain approximate numeric values for both conversions.",
+                "The output should not contain error messages or stack traces.",
+            ],
+        },
+
        // ── AgentWithMemory ─────────────────────────────────────────────────

        new SampleDefinition
@@ -1151,6 +1170,25 @@ internal static class AgentsSamples
            SkipReason = "Runs as an MCP stdio server that does not exit on its own.",
        },

+        new SampleDefinition
+        {
+            Name = "Agent_MCP_LongRunningTask_Client",
+            ProjectPath = "samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client",
+            RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
+            OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
+            MustContain =
+            [
+                "=== Transparent long-running MCP task (RunAsync) ===",
+                "=== Transparent long-running MCP task (RunStreamingAsync) ===",
+            ],
+            ExpectedOutputDescription =
+            [
+                "The output should show an agent analyzing a dataset named 'sales-2025-q1' and producing a summary mentioning rows, revenue, anomalies, or outliers.",
+                "The output should contain both a non-streaming response (after RunAsync) and a streaming response (after RunStreamingAsync) for the same analysis question.",
+                "The output should not contain error messages or stack traces.",
+            ],
+        },
+
        new SampleDefinition
        {
            Name = "AGUI_Step01_GettingStarted_Client",
@@ -439,15 +439,6 @@ internal static class WorkflowSamples
            ExpectedOutputDescription = ["The output should show a workflow calling function tools (e.g. a menu plugin) to answer a question about restaurant specials."],
        },

-        new SampleDefinition
-        {
-            Name = "Workflow_Declarative_GenerateCode",
-            ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
-            IsDeterministic = true,
-            MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
-            ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
-        },
-
        new SampleDefinition
        {
            Name = "Workflow_Declarative_HostedWorkflow",
@@ -1,14 +1,14 @@
 <Project>
  <PropertyGroup>
    <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.6.2</VersionPrefix>
+    <VersionPrefix>1.8.0</VersionPrefix>
    <RCNumber>1</RCNumber>
-    <DateSuffix>260521</DateSuffix>
+    <DateSuffix>260528</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>1.6.2</GitTag>
+    <GitTag>1.8.0</GitTag>

    <Configurations>Debug;Release;Publish</Configurations>
    <IsPackable>true</IsPackable>
@@ -24,6 +24,7 @@ string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYM
 var skillsProvider = new AgentSkillsProvider(
    Path.Combine(AppContext.BaseDirectory, "skills"),
    SubprocessScriptRunner.RunAsync);
+
 // --- Agent Setup ---
 AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
    .GetResponsesClient()
@@ -51,7 +51,7 @@ Console.WriteLine($"Agent: {response.Text}");
 /// Properties annotated with <see cref="AgentSkillResourceAttribute"/> are automatically
 /// discovered as skill resources, and methods annotated with <see cref="AgentSkillScriptAttribute"/>
 /// are automatically discovered as skill scripts. Alternatively,
-/// <see cref="AgentSkill.Resources"/> and <see cref="AgentSkill.Scripts"/> can be overridden.
+/// <see cref="AgentClassSkill{TSelf}.Resources"/> and <see cref="AgentClassSkill{TSelf}.Scripts"/> can be overridden.
 /// </remarks>
 internal sealed class UnitConverterSkill : AgentClassSkill<UnitConverterSkill>
 {
@@ -0,0 +1,24 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);MAAI001;MCPEXP001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,142 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to discover Agent Skills served over MCP.
+//
+// When launched with "--server", this executable runs a small MCP stdio server
+// that exposes a unit-converter skill via the SEP-2640 convention:
+//   - skill://index.json      — discovery document listing all skills
+//   - skill://unit-converter/SKILL.md — the skill instructions
+//
+// In default (client) mode the sample launches itself as a child process,
+// connects via StdioClientTransport, and uses AgentSkillsProviderBuilder
+// to discover and inject the skill into a ChatClientAgent.
+
+using System.ComponentModel;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using ModelContextProtocol.Client;
+using ModelContextProtocol.Server;
+using OpenAI.Responses;
+
+if (args.Length > 0 && args[0] == "--server")
+{
+    await RunMcpServerAsync();
+    return;
+}
+
+// --- Configuration ---
+string openAiEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+
+// --- MCP client + skill discovery ---
+// Launch this same assembly as a stdio MCP server in a child process.
+var thisAssemblyPath = typeof(Program).Assembly.Location;
+Console.WriteLine("Discovering MCP-based skills");
+
+await using McpClient client = await McpClient.CreateAsync(
+    new StdioClientTransport(new()
+    {
+        Name = "skills-server",
+        Command = "dotnet",
+        Arguments = [thisAssemblyPath, "--server"],
+    }));
+
+var skillsProvider = new AgentSkillsProviderBuilder()
+    .UseMcpSkills(client)
+    .Build();
+
+// --- Agent ---
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+AIAgent agent = new AzureOpenAIClient(new Uri(openAiEndpoint), new DefaultAzureCredential())
+    .GetResponsesClient()
+    .AsAIAgent(new ChatClientAgentOptions
+    {
+        Name = "SkillsAgent",
+        ChatOptions = new()
+        {
+            Instructions = "You are a helpful assistant. Use available skills to answer the user.",
+        },
+        AIContextProviders = [skillsProvider],
+    },
+    model: deploymentName);
+
+// --- Run ---
+Console.WriteLine(new string('-', 60));
+
+AgentResponse response = await agent.RunAsync(
+    "How many kilometers is a marathon (26.2 miles)? And how many pounds is 75 kilograms?");
+
+Console.WriteLine($"Agent: {response.Text}");
+
+// --- Server mode (launched as a child process via --server) ---------------------------------
+static async Task RunMcpServerAsync()
+{
+    var builder = Host.CreateApplicationBuilder();
+
+    // Critical for stdio transport: any provider that writes to stdout will corrupt the
+    // JSON-RPC channel. Clear all providers; the MCP SDK routes its own diagnostics
+    // appropriately.
+    builder.Logging.ClearProviders();
+    builder.Logging.AddConsole(o => o.LogToStandardErrorThreshold = LogLevel.Trace);
+
+    builder.Services.AddMcpServer(o => o.ServerInfo = new() { Name = "SkillsServer", Version = "1.0.0" })
+    .WithStdioServerTransport()
+    .WithResources<SkillResources>();
+
+    await builder.Build().RunAsync();
+}
+
+#pragma warning disable CA1812 // Discovered by MCP SDK via [McpServerResourceType] attribute
+[McpServerResourceType]
+internal sealed class SkillResources
+#pragma warning restore CA1812
+{
+    private const string IndexJson = """
+        {
+            "$schema": "https://schemas.agentskills.io/discovery/0.2.0/schema.json",
+            "skills": [
+                {
+                    "name": "unit-converter",
+                    "type": "skill-md",
+                    "description": "Convert between common units using a multiplication factor. Use when asked to convert miles, kilometers, pounds, or kilograms.",
+                    "url": "skill://unit-converter/SKILL.md"
+                }
+            ]
+        }
+        """;
+
+    private const string SkillMd = """
+        ---
+        name: unit-converter
+        description: Convert between common units using a multiplication factor. Use when asked to convert miles, kilometers, pounds, or kilograms.
+        ---
+
+        ## Usage
+
+        When the user requests a unit conversion, use these factors:
+
+        | From        | To          | Factor   |
+        |-------------|-------------|----------|
+        | miles       | kilometers  | 1.60934  |
+        | kilometers  | miles       | 0.621371 |
+        | pounds      | kilograms   | 0.453592 |
+        | kilograms   | pounds      | 2.20462  |
+
+        Formula: result = value × factor
+        """;
+
+    [McpServerResource(UriTemplate = "skill://index.json", Name = "Skill Index", MimeType = "application/json")]
+    [Description("SEP-2640 skill discovery index")]
+    public static string GetIndex() => IndexJson;
+
+    [McpServerResource(UriTemplate = "skill://unit-converter/SKILL.md", Name = "Unit Converter Skill", MimeType = "text/markdown")]
+    [Description("Unit converter skill instructions")]
+    public static string GetSkillMd() => SkillMd;
+}
@@ -0,0 +1,34 @@
+# MCP-Based Agent Skills Sample
+
+This sample demonstrates how to discover **Agent Skills served over MCP** with a `ChatClientAgent`.
+
+## What it demonstrates
+
+- Hosting a small MCP server (in this same executable, launched with `--server`) that
+  exposes skill resources following the SEP-2640 convention.
+- Connecting an `McpClient` to the embedded server via stdio transport.
+- Building an `AgentSkillsProvider` via `UseMcpSkills(client)`, which reads
+  `skill://index.json` (SEP-2640 canonical discovery) and constructs skills from the
+  index entries.
+- The progressive disclosure pattern across MCP: advertise → load → read resources, exactly
+  as for filesystem-backed skills.
+
+## Running the Sample
+
+### Prerequisites
+
+- .NET 10.0 SDK
+- Azure OpenAI endpoint with a deployed model
+
+### Setup
+
+```powershell
+$env:AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
+```
+
+### Run
+
+```powershell
+dotnet run
+```
@@ -9,6 +9,7 @@ Samples demonstrating Agent Skills capabilities. Each sample shows a different w
 | [Agent_Step03_ClassBasedSkills](Agent_Step03_ClassBasedSkills/) | Define skills as C# classes using `AgentClassSkill`. |
 | [Agent_Step04_MixedSkills](Agent_Step04_MixedSkills/) | **(Advanced)** Combine file-based, code-defined, and class-based skills using `AgentSkillsProviderBuilder`. |
 | [Agent_Step05_SkillsWithDI](Agent_Step05_SkillsWithDI/) | Use Dependency Injection with both code-defined (`AgentInlineSkill`) and class-based (`AgentClassSkill`) skills. |
+| [Agent_Step06_McpBasedSkills](Agent_Step06_McpBasedSkills/) | Discover skills served over the [Model Context Protocol (MCP)](https://modelcontextprotocol.io) via `AgentMcpSkillsSource`. Spins up an in-process MCP server that exposes skills as resources (`skill://...`) and connects an `McpClient` to it. |

 ## Key Concepts

@@ -0,0 +1,22 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,93 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// Foundry Toolbox MCP Skills.
+//
+// Uses AgentSkillsProviderBuilder to discover MCP-based skills from a Foundry
+// Toolbox endpoint and inject them as AIContextProviders so the agent can
+// discover and use them at runtime.
+
+using System.Net.Http.Headers;
+using Azure.AI.Projects;
+using Azure.Core;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using ModelContextProtocol.Client;
+
+// --- Configuration ---
+string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+string toolboxMcpServerUrl = Environment.GetEnvironmentVariable("FOUNDRY_TOOLBOX_MCP_SERVER_URL")
+    ?? throw new InvalidOperationException("FOUNDRY_TOOLBOX_MCP_SERVER_URL is not set.");
+
+// 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.
+TokenCredential credential = new DefaultAzureCredential();
+
+using var httpClient = new HttpClient(new BearerTokenHandler(credential, "https://ai.azure.com/.default")
+{
+    InnerHandler = new HttpClientHandler(),
+});
+
+// --- Connect to the Foundry Toolbox MCP endpoint ---
+await using McpClient mcpClient = await McpClient.CreateAsync(
+    new HttpClientTransport(
+        new HttpClientTransportOptions
+        {
+            Endpoint = new Uri(toolboxMcpServerUrl),
+            Name = "foundry_toolbox",
+            TransportMode = HttpTransportMode.StreamableHttp,
+            AdditionalHeaders = new Dictionary<string, string>
+            {
+                ["Foundry-Features"] = "Toolboxes=V1Preview",
+            },
+        },
+        httpClient));
+
+// --- Discover MCP-based skills ---
+var skillsProvider = new AgentSkillsProviderBuilder()
+    .UseMcpSkills(mcpClient)
+    .Build();
+
+// --- Create the agent ---
+AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
+
+AIAgent agent = aiProjectClient.AsAIAgent(
+    options: new ChatClientAgentOptions
+    {
+        Name = "ToolboxMcpSkillsAgent",
+        ChatOptions = new()
+        {
+            ModelId = deploymentName,
+            Instructions = "You are a helpful assistant. Use available skills to answer the user.",
+        },
+        AIContextProviders = [skillsProvider],
+    });
+
+// --- Interactive prompt ---
+Console.Write("User: ");
+string? query = Console.ReadLine();
+
+if (string.IsNullOrWhiteSpace(query))
+{
+    Console.WriteLine("No input provided.");
+    return;
+}
+
+Console.WriteLine($"Assistant: {await agent.RunAsync(query)}");
+
+// ---------------------------------------------------------------------------
+// DelegatingHandler: attaches a fresh Foundry bearer token to every request
+// ---------------------------------------------------------------------------
+internal sealed class BearerTokenHandler(TokenCredential credential, string scope) : DelegatingHandler
+{
+    private readonly TokenRequestContext _tokenContext = new([scope]);
+
+    protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
+    {
+        AccessToken token = await credential.GetTokenAsync(this._tokenContext, cancellationToken).ConfigureAwait(false);
+        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token.Token);
+        return await base.SendAsync(request, cancellationToken).ConfigureAwait(false);
+    }
+}
@@ -0,0 +1,32 @@
+# Foundry Toolbox MCP Skills
+
+This sample uses
+`AgentSkillsProviderBuilder` to discover MCP-based skills from a Foundry Toolbox endpoint
+and inject them as `AIContextProviders` so the agent can discover and use them at runtime.
+
+## What this sample demonstrates
+
+- Connecting to a Foundry toolbox's MCP endpoint via Streamable HTTP transport
+- Injecting a fresh Azure AI bearer token (`https://ai.azure.com/.default`) on every MCP request
+- Using `AgentSkillsProviderBuilder.UseMcpSkills(client)` to discover skills from the toolbox
+- Injecting the discovered skills into `AIProjectClient.AsAIAgent(...)` via `AIContextProviders`
+
+## Prerequisites
+
+- A Microsoft Foundry project with a toolbox already configured
+- The toolbox MCP endpoint must expose `skill://index.json` with `skill-md` entries (SEP-2640). If the resource is absent, the sample runs but the skills provider will be empty.
+- Azure CLI installed and authenticated (`az login`)
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
+$env:FOUNDRY_TOOLBOX_MCP_SERVER_URL="https://your-foundry-service.services.ai.azure.com/api/projects/your-project/toolboxes/your-toolbox/mcp?api-version=v1"
+```
+
+## Run the sample
+
+```powershell
+dotnet run
+```
@@ -74,6 +74,7 @@ Some samples require extra tool-specific environment variables. See each sample
 | [Local MCP](./Agent_Step23_LocalMCP/) | Local MCP client with HTTP transport |
 | [Code interpreter file download](./Agent_Step24_CodeInterpreterFileDownload/) | Download container files generated by code interpreter |
 | [Foundry toolbox via MCP](./Agent_Step25_FoundryToolboxMcp/) | Use a Foundry Toolbox from a non-hosted agent via its MCP endpoint |
+| [Foundry toolbox MCP skills](./Agent_Step26_FoundryToolboxMcpSkills/) | Use a Foundry Toolbox with MCP-based skills discovery (SEP-2640) via AIContextProviders |

 ## Running the samples

@@ -72,6 +72,95 @@ public static class AnsiEscapes
    /// </summary>
    public static string ResetAttributes => "\x1b[0m";

+    /// <summary>
+    /// Returns the visible (printed) length of a string after stripping ANSI escape sequences.
+    /// Escape sequences are zero-width on screen but occupy characters in the raw string.
+    /// </summary>
+    /// <remarks>
+    /// This counts UTF-16 code units (chars) rather than terminal display cells. Emoji,
+    /// combining characters, variation selectors, and East Asian wide characters may be
+    /// measured incorrectly. For the console harness this is acceptable since content is
+    /// predominantly ASCII, and emoji are padded with surrounding spaces.
+    /// </remarks>
+    public static int VisibleLength(string text)
+    {
+        if (string.IsNullOrEmpty(text))
+        {
+            return 0;
+        }
+
+        int length = 0;
+        for (int i = 0; i < text.Length; i++)
+        {
+            if (text[i] == '\x1b' && i + 1 < text.Length && text[i + 1] == '[')
+            {
+                // Skip the ESC[ and all characters up to and including the final byte (0x40–0x7E).
+                i += 2;
+                while (i < text.Length && text[i] < 0x40)
+                {
+                    i++;
+                }
+
+                // i now points to the final byte of the escape sequence; the for-loop will advance past it.
+            }
+            else if (text[i] != '\n' && text[i] != '\r')
+            {
+                length++;
+            }
+        }
+
+        return length;
+    }
+
+    /// <summary>
+    /// Counts the number of physical terminal rows a text item will occupy,
+    /// accounting for both explicit newlines and terminal line wrapping.
+    /// </summary>
+    /// <param name="text">The text to measure.</param>
+    /// <param name="terminalWidth">The terminal width in columns. If &lt;= 0, wrapping is ignored (1 row per logical line).</param>
+    /// <returns>The number of physical rows the text occupies.</returns>
+    public static int CountPhysicalLines(string text, int terminalWidth)
+    {
+        if (string.IsNullOrEmpty(text))
+        {
+            return 0;
+        }
+
+        int physicalLines = 0;
+        int lineStart = 0;
+
+        for (int i = 0; i <= text.Length; i++)
+        {
+            if (i == text.Length || text[i] == '\n')
+            {
+                if (terminalWidth <= 0)
+                {
+                    // No wrapping — each logical line is one physical row
+                    physicalLines += 1;
+                }
+                else
+                {
+                    string logicalLine = text[lineStart..i];
+                    int visibleWidth = VisibleLength(logicalLine);
+
+                    physicalLines += visibleWidth == 0
+                        ? 1
+                        : (visibleWidth - 1) / terminalWidth + 1;
+                }
+
+                lineStart = i + 1;
+            }
+        }
+
+        // If text ends with a newline, don't count the trailing empty line
+        if (text[text.Length - 1] == '\n')
+        {
+            physicalLines--;
+        }
+
+        return physicalLines;
+    }
+
    private static int ConsoleColorToAnsi(ConsoleColor color) => color switch
    {
        ConsoleColor.Black => 30,
@@ -40,8 +40,8 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
            foreach (string line in props.Title.Split('\n'))
            {
                Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
-                Console.Write(AnsiEscapes.EraseEntireLine);
                Console.Write(line);
+                Console.Write(AnsiEscapes.EraseToEndOfLine);
                row++;
            }
        }
@@ -52,7 +52,6 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
        for (int i = 0; i < totalItems; i++)
        {
            Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
-            Console.Write(AnsiEscapes.EraseEntireLine);

            bool isSelected = i == props.SelectedIndex;
            bool isCustomTextOption = props.CustomTextPlaceholder != null && i == props.Items.Count;
@@ -72,6 +71,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
                }

                Console.Write(props.Items[i]);
+                Console.Write(AnsiEscapes.EraseToEndOfLine);

                if (isSelected)
                {
@@ -101,6 +101,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
            }

            Console.Write(props.CustomText);
+            Console.Write(AnsiEscapes.EraseToEndOfLine);

            if (isSelected)
            {
@@ -121,6 +122,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol

            Console.Write(" ");
            Console.Write(props.CustomTextPlaceholder);
+            Console.Write(AnsiEscapes.EraseToEndOfLine);
            Console.Write(AnsiEscapes.ResetAttributes);
        }
    }
@@ -23,16 +23,18 @@ public record TextPanelProps : ConsoleReactiveProps
 public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiveState>
 {
    /// <summary>
-    /// Calculates the height (in lines) needed to render all items.
+    /// Calculates the height (in lines) needed to render all items,
+    /// accounting for terminal line wrapping at the specified width.
    /// </summary>
    /// <param name="items">The items to measure.</param>
-    /// <returns>The total number of lines all items will occupy.</returns>
-    public static int CalculateHeight(IReadOnlyList<string> items)
+    /// <param name="terminalWidth">The terminal width in columns. When 0 or negative, wrapping is ignored.</param>
+    /// <returns>The total number of physical lines all items will occupy.</returns>
+    public static int CalculateHeight(IReadOnlyList<string> items, int terminalWidth = 0)
    {
        int total = 0;
        for (int i = 0; i < items.Count; i++)
        {
-            total += CountLines(items[i]);
+            total += AnsiEscapes.CountPhysicalLines(items[i], terminalWidth);
        }

        return total;
@@ -47,13 +49,20 @@ public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiv
        {
            string text = props.Items[i];
            string[] lines = text.Split('\n');
-            int lineCount = CountLines(text);
+            int itemLineCount = AnsiEscapes.CountPhysicalLines(text, props.Width);
+            int itemRow = 0;

-            for (int j = 0; j < lineCount; j++)
+            for (int j = 0; j < lines.Length && itemRow < itemLineCount; j++)
            {
+                int linePhysicalRows = props.Width > 0
+                    ? Math.Max(1, (AnsiEscapes.VisibleLength(lines[j]) - 1) / props.Width + 1)
+                    : 1;
+
                Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y + currentRow));
                Console.Write(lines[j]);
-                currentRow++;
+
+                currentRow += linePhysicalRows;
+                itemRow += linePhysicalRows;
            }
        }

@@ -66,29 +75,4 @@ public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiv
            }
        }
    }
-
-    private static int CountLines(string text)
-    {
-        if (string.IsNullOrEmpty(text))
-        {
-            return 0;
-        }
-
-        int count = 1;
-        for (int i = 0; i < text.Length; i++)
-        {
-            if (text[i] == '\n')
-            {
-                count++;
-            }
-        }
-
-        // If text ends with a newline, don't count the trailing empty line
-        if (text[text.Length - 1] == '\n')
-        {
-            count--;
-        }
-
-        return count;
-    }
 }
@@ -17,16 +17,19 @@ public record TextScrollPanelProps : ConsoleReactiveProps
 /// <summary>
 /// State for <see cref="TextScrollPanel"/>.
 /// </summary>
-/// <param name="RenderedCount">The number of items already rendered.</param>
-public record TextScrollPanelState(int RenderedCount = 0) : ConsoleReactiveState;
+public record TextScrollPanelState : ConsoleReactiveState;

 /// <summary>
 /// A component that renders pre-rendered string items within a scroll area.
-/// All items are considered finalized — only new items since the last render are output.
-/// Use <see cref="Reset"/> to force a full re-render.
+/// The last rendered item is considered dynamic and will be re-rendered on each call.
+/// All prior items are considered finalized and are not re-rendered.
+/// Use <see cref="Invalidate"/> to force a full re-render.
 /// </summary>
 public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, TextScrollPanelState>
 {
+    private int _renderedCount;
+    private int _lastItemOffsetFromBottom;
+
    /// <summary>
    /// Initializes a new instance of the <see cref="TextScrollPanel"/> class.
    /// </summary>
@@ -35,12 +38,12 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
        this.State = new TextScrollPanelState();
    }

-    /// <summary>
-    /// Resets the panel so all items will be re-rendered on the next Render call.
-    /// </summary>
-    public void Reset()
+    /// <inheritdoc />
+    public override void Invalidate()
    {
-        this.State = new TextScrollPanelState();
+        this._renderedCount = 0;
+        this._lastItemOffsetFromBottom = 0;
+        base.Invalidate();
    }

    /// <inheritdoc />
@@ -51,16 +54,35 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
            return;
        }

-        // Move cursor to the bottom of the scroll area
-        Console.Write(AnsiEscapes.MoveCursor(props.Y + props.Height - 1, props.X));
+        int bottomRow = props.Y + props.Height - 1;

-        // Output only new items since last rendered
-        for (int i = state.RenderedCount; i < props.Items.Count; i++)
+        // Determine the first item to render. If we previously rendered items,
+        // re-render the last one (it may have changed/grown) from its stored position.
+        int startIndex = this._renderedCount > 0 ? this._renderedCount - 1 : 0;
+
+        if (this._renderedCount > 0 && this._lastItemOffsetFromBottom > 0)
+        {
+            // Reposition cursor to where the last rendered item began
+            Console.Write(AnsiEscapes.MoveCursor(bottomRow - this._lastItemOffsetFromBottom, props.X));
+        }
+        else
+        {
+            // First render — position at the bottom of the scroll area
+            Console.Write(AnsiEscapes.MoveCursor(bottomRow, props.X));
+        }
+
+        // Render from startIndex onwards
+        for (int i = startIndex; i < props.Items.Count; i++)
        {
            Console.Write(props.Items[i]);
        }

-        // Update state to track what we've rendered
-        this.State = new TextScrollPanelState(props.Items.Count);
+        // Calculate the offset from bottom for the start of the new last item,
+        // accounting for terminal line wrapping at the available width.
+        int lastItemLines = AnsiEscapes.CountPhysicalLines(props.Items[^1], props.Width);
+        this._lastItemOffsetFromBottom = lastItemLines > 0 ? lastItemLines - 1 : 0;
+
+        // Update rendered count
+        this._renderedCount = props.Items.Count;
    }
 }
@@ -13,6 +13,11 @@ public abstract class ConsoleReactiveComponent
    {
    }

+    /// <summary>
+    /// Gets the shared render lock across all component types to prevent ANSI escape sequence interleaving.
+    /// </summary>
+    protected static object RenderLock { get; } = new();
+
    /// <summary>
    /// Gets or sets the component's props as the base <see cref="ConsoleReactiveProps"/> type.
    /// Used by parent components to set layout (X, Y, Width, Height) on children without
@@ -40,7 +45,6 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
    where TProps : ConsoleReactiveProps
    where TState : ConsoleReactiveState
 {
-    private readonly object _renderLock = new();
    private TProps? _lastRenderedProps;
    private TState? _lastRenderedState;

@@ -74,7 +78,7 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
    /// </summary>
    public override void Render()
    {
-        lock (this._renderLock)
+        lock (RenderLock)
        {
            if (this.Props is null)
            {
@@ -97,7 +101,7 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
    /// <inheritdoc/>
    public override void Invalidate()
    {
-        lock (this._renderLock)
+        lock (RenderLock)
        {
            this._lastRenderedProps = default;
            this._lastRenderedState = default;
@@ -0,0 +1,36 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace Harness.ConsoleReactiveFramework;
+
+/// <summary>
+/// Caches the result of a mapping function and only recomputes when the input changes.
+/// </summary>
+/// <typeparam name="TInput">The type of the input value.</typeparam>
+/// <typeparam name="TOutput">The type of the mapped output value.</typeparam>
+public class ConsoleReactiveMemo<TInput, TOutput>
+{
+    private TInput? _previousInput;
+    private TOutput? _cachedOutput;
+    private bool _hasValue;
+
+    /// <summary>
+    /// Returns the cached output if <paramref name="input"/> equals the previously stored input;
+    /// otherwise invokes <paramref name="mapper"/> to compute and cache a new output.
+    /// </summary>
+    /// <param name="input">The current input value.</param>
+    /// <param name="mapper">A function that maps the input to an output value.</param>
+    /// <returns>The cached or newly computed output.</returns>
+    public TOutput Map(TInput input, Func<TInput, TOutput> mapper)
+    {
+        ArgumentNullException.ThrowIfNull(mapper);
+
+        if (!this._hasValue || !EqualityComparer<TInput>.Default.Equals(input, this._previousInput))
+        {
+            this._previousInput = input;
+            this._cachedOutput = mapper(input);
+            this._hasValue = true;
+        }
+
+        return this._cachedOutput!;
+    }
+}
@@ -19,7 +19,6 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
    private readonly ListSelection _listSelection = new();
    private readonly TextInput _textInput = new();
    private readonly TextScrollPanel _textScrollPanel = new();
-    private readonly TextPanel _textPanel = new();
    private readonly TextPanel _queuedPanel = new();
    private readonly AgentStatus _agentStatus = new();
    private readonly AgentModeAndHelp _modeAndHelp = new();
@@ -29,6 +28,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
    private int _scrollRegionBottom;
    private bool _resizedSinceLastRender = true;
    private bool _deactivated;
+    private BottomPanelMode _lastRenderedBottomPanelMode;

    /// <summary>
    /// Initializes a new instance of the <see cref="HarnessAppComponent"/> class.
@@ -341,18 +341,8 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
            return;
        }

-        // Determine the text panel height for the last scroll item
-        IReadOnlyList<string> lastItems = state.ScrollAreaContentItems.Count > 0
-            ? [state.ScrollAreaContentItems[^1]]
-            : [];
-        int textPanelHeight = TextPanel.CalculateHeight(lastItems);
-        if (textPanelHeight > 0)
-        {
-            textPanelHeight++; // Extra line for spacing between text panel and rule
-        }
-
        // Calculate queued items panel height
-        int queuedPanelHeight = TextPanel.CalculateHeight(state.QueuedItems);
+        int queuedPanelHeight = TextPanel.CalculateHeight(state.QueuedItems, state.ConsoleWidth);

        // Build the bottom panel child based on mode
        ConsoleReactiveComponent bottomChild;
@@ -417,6 +407,14 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
            bottomChild = this._textInput;
        }

+        // When the bottom panel mode changes, the new child must repaint even if its
+        // props haven't changed — the screen area was overwritten by the previous child.
+        if (state.Mode != this._lastRenderedBottomPanelMode)
+        {
+            bottomChild.Invalidate();
+            this._lastRenderedBottomPanelMode = state.Mode;
+        }
+
        var ruleProps = new TopBottomRuleProps
        {
            Width = state.ConsoleWidth,
@@ -444,7 +442,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
        int modeAndHelpHeight = showStatusAndHelp ? AgentModeAndHelp.CalculateHeight(modeAndHelpProps) : 0;

        int ruleHeight = TopBottomRule.CalculateHeight(ruleProps);
-        int nonScrollHeight = ruleHeight + textPanelHeight + agentStatusHeight + queuedPanelHeight + modeAndHelpHeight + 1; // +1 for bottom padding
+        int nonScrollHeight = ruleHeight + agentStatusHeight + queuedPanelHeight + modeAndHelpHeight + 1; // +1 for bottom padding
        int scrollBottom = Math.Max(1, state.ConsoleHeight - nonScrollHeight);

        // If scroll region changed or a clear is needed, reset everything
@@ -455,52 +453,36 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
            System.Console.Write(AnsiEscapes.ResetScrollRegion);
            System.Console.Write(AnsiEscapes.EraseEntireScreen);
            System.Console.Write(AnsiEscapes.EraseScrollbackBuffer);
-            this._textScrollPanel.Reset();
-            this._resizedSinceLastRender = false;

            // Invalidate all children so they re-render even if props haven't changed
            this._rule.Invalidate();
            this._textScrollPanel.Invalidate();
-            this._textPanel.Invalidate();
            this._queuedPanel.Invalidate();
            this._agentStatus.Invalidate();
            this._modeAndHelp.Invalidate();
            this._textInput.Invalidate();
            this._listSelection.Invalidate();
+
+            this._resizedSinceLastRender = false;
        }

        this._scrollRegionBottom = scrollBottom;

        System.Console.Write(AnsiEscapes.SetScrollRegion(scrollBottom));

-        // Render text scroll panel in the scroll area (all items except the last)
-        IReadOnlyList<string> scrollItems = state.ScrollAreaContentItems.Count > 1
-            ? state.ScrollAreaContentItems.Take(state.ScrollAreaContentItems.Count - 1).ToList()
-            : [];
-
+        // Render text scroll panel in the scroll area
        this._textScrollPanel.Props = new TextScrollPanelProps
        {
            X = 1,
            Y = 1,
            Width = state.ConsoleWidth,
            Height = scrollBottom,
-            Items = scrollItems,
+            Items = state.ScrollAreaContentItems,
        };
        this._textScrollPanel.Render();

-        // Render the text panel for the last (dynamic) item just below the scroll region
-        this._textPanel.Props = new TextPanelProps
-        {
-            X = 1,
-            Y = scrollBottom + 1,
-            Width = state.ConsoleWidth,
-            Height = textPanelHeight,
-            Items = lastItems,
-        };
-        this._textPanel.Render();
-
-        // Render queued input items between text panel and agent status
-        int queuedPanelY = scrollBottom + textPanelHeight + 1;
+        // Render queued input items between scroll area and agent status
+        int queuedPanelY = scrollBottom + 1;
        this._queuedPanel.Props = new TextPanelProps
        {
            X = 1,
@@ -88,16 +88,17 @@ public sealed class PlanningOutputObserver : ConsoleObserver
        {
            planningResponse = JsonSerializer.Deserialize<PlanningResponse>(collectedText);
        }
-        catch (JsonException ex)
+        catch (JsonException)
        {
-            await ux.WriteInfoLineAsync($"❌ Failed to parse planning response: {ex.Message}", ConsoleColor.Red);
-            await ux.WriteInfoLineAsync($"(raw response) {collectedText}", ConsoleColor.DarkYellow);
+            // JSON parsing failed — fall back to rendering as regular text output.
+            await ux.WriteTextAsync(collectedText).ConfigureAwait(false);
            return null;
        }

        if (planningResponse is null)
        {
-            await ux.WriteInfoLineAsync("(no structured response from agent)", ConsoleColor.DarkYellow);
+            // Null result — fall back to rendering as regular text output.
+            await ux.WriteTextAsync(collectedText).ConfigureAwait(false);
            return null;
        }

@@ -118,7 +119,8 @@ public sealed class PlanningOutputObserver : ConsoleObserver
            return new List<FollowUpAction> { this.BuildApprovalAction(question, session) };
        }

-        await ux.WriteInfoLineAsync($"(unexpected response type: {planningResponse.Type})", ConsoleColor.DarkYellow);
+        // Unexpected type — fall back to rendering as regular text output.
+        await ux.WriteTextAsync(collectedText).ConfigureAwait(false);
        return null;
    }

@@ -5,17 +5,17 @@ using Microsoft.Extensions.AI;
 namespace Harness.Shared.Console.ToolFormatters;

 /// <summary>
-/// Formats <c>AgentMode_*</c> tool calls, showing the target mode for Set operations.
+/// Formats <c>mode_*</c> tool calls, showing the target mode for Set operations.
 /// </summary>
 public sealed class ModeToolFormatter : ToolCallFormatter
 {
    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("AgentMode_", StringComparison.Ordinal);
+    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("mode_", StringComparison.Ordinal);

    /// <inheritdoc/>
    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
    {
-        "AgentMode_Set" => FormatStringArg(call, "mode"),
+        "mode_set" => FormatStringArg(call, "mode"),
        _ => null,
    };

@@ -7,20 +7,20 @@ using Microsoft.Extensions.AI;
 namespace Harness.Shared.Console.ToolFormatters;

 /// <summary>
-/// Formats <c>TodoList_*</c> tool calls with tree-view output for added items
+/// Formats <c>todos_*</c> tool calls with tree-view output for added items
 /// and structured output for complete/remove operations.
 /// </summary>
 public sealed class TodoToolFormatter : ToolCallFormatter
 {
    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("TodoList_", StringComparison.Ordinal);
+    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("todos_", StringComparison.Ordinal);

    /// <inheritdoc/>
    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
    {
-        "TodoList_Add" => FormatAddTodos(call),
-        "TodoList_Complete" => FormatCompleteTodos(call),
-        "TodoList_Remove" => FormatIdList(call, "ids", "Remove"),
+        "todos_add" => FormatAddTodos(call),
+        "todos_complete" => FormatCompleteTodos(call),
+        "todos_remove" => FormatIdList(call, "ids", "Remove"),
        _ => null,
    };

@@ -2,6 +2,7 @@

 #pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.

+using System.Text.Json;
 using Harness.Shared.Console.Observers;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
@@ -53,9 +54,94 @@ public sealed class OpenAIResponsesErrorObserver : ConsoleObserver

            case StreamingResponseIncompleteUpdate incompleteUpdate:
                string? reason = incompleteUpdate.Response?.IncompleteStatusDetails?.Reason?.ToString();
-                string incompleteText = $"⚠️ Response incomplete: {reason ?? "unknown reason"}";
-                await ux.WriteInfoLineAsync(incompleteText, ConsoleColor.Yellow);
+                if (string.Equals(reason, "content_filter", StringComparison.OrdinalIgnoreCase))
+                {
+                    string detail = GetContentFilterDetails(incompleteUpdate);
+                    const string Message = "🛡️  The service's built-in content filter guardrails were triggered and the response was cut short.";
+                    await ux.WriteInfoLineAsync(
+                        string.IsNullOrEmpty(detail) ? Message : $"{Message}\n{detail}",
+                        ConsoleColor.Yellow);
+                }
+                else
+                {
+                    string incompleteText = $"⚠️ Response incomplete: {reason ?? "unknown reason"}";
+                    await ux.WriteInfoLineAsync(incompleteText, ConsoleColor.Yellow);
+                }
+
                break;
        }
    }
+
+    /// <summary>
+    /// Extracts content filter details from the serialized response JSON and returns
+    /// a formatted string showing which specific categories were triggered.
+    /// Returns <see cref="string.Empty"/> if details cannot be extracted.
+    /// </summary>
+    private static string GetContentFilterDetails(StreamingResponseIncompleteUpdate incompleteUpdate)
+    {
+        try
+        {
+            var data = System.ClientModel.Primitives.ModelReaderWriter.Write(incompleteUpdate);
+            using var doc = JsonDocument.Parse(data.ToString());
+            var root = doc.RootElement;
+
+            // Navigate into the nested response object if present.
+            JsonElement responseElement = root.TryGetProperty("response", out var resp) ? resp : root;
+
+            if (!responseElement.TryGetProperty("content_filters", out var filtersArray)
+                || filtersArray.ValueKind != JsonValueKind.Array)
+            {
+                return string.Empty;
+            }
+
+            foreach (var filter in filtersArray.EnumerateArray())
+            {
+                if (!filter.TryGetProperty("content_filter_results", out var results)
+                    || results.ValueKind != JsonValueKind.Object)
+                {
+                    continue;
+                }
+
+                // Collect category data for aligned output.
+                var categories = new List<(string Name, bool Filtered, string? Severity)>();
+                foreach (var category in results.EnumerateObject())
+                {
+                    if (category.Value.ValueKind != JsonValueKind.Object)
+                    {
+                        continue;
+                    }
+
+                    bool filtered = category.Value.TryGetProperty("filtered", out var f) && f.GetBoolean();
+                    string? severity = category.Value.TryGetProperty("severity", out var s) ? s.GetString() : null;
+                    categories.Add((category.Name, filtered, severity));
+                }
+
+                // Build all category lines into a single string.
+                int maxNameLen = categories.Count > 0 ? categories.Max(c => c.Name.Length) : 0;
+                var lines = new List<string>();
+
+                foreach (var (name, filtered, severity) in categories)
+                {
+                    string paddedName = name.PadRight(maxNameLen);
+                    string icon = filtered ? "❌" : "✅";
+                    string statusText = filtered ? "Filtered    " : "Not Filtered";
+                    string severityText = severity is not null ? $"   Severity: {severity}" : "";
+
+                    lines.Add($"    {icon} {paddedName}  {statusText}{severityText}");
+                }
+
+                if (lines.Count > 0)
+                {
+                    return string.Join("\n", lines);
+                }
+            }
+
+            return string.Empty;
+        }
+        catch
+        {
+            // Parsing not critical — skip silently if it fails.
+            return string.Empty;
+        }
+    }
 }
@@ -0,0 +1,25 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);MAAI001;MEAI001;MCPEXP001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates the Microsoft Agent Framework's MCP long-running task support.
+//
+// A small MCP server (hosted in this same executable when launched with "--server") exposes
+// a single task-supporting tool "AnalyzeDataset" that simulates ~15 seconds of work. The
+// client (default mode) connects to it over stdio via Microsoft.Agents.AI.Mcp's
+// McpClientTaskExtensions.ListAgentToolsWithTaskSupportAsync, hands the wrapped tools to a
+// ChatClientAgent, and exercises both invocation styles:
+//   * RunAsync          — blocks until the agent's final response is ready.
+//   * RunStreamingAsync — yields response updates as the model produces them; the model
+//                         still waits for the tool's terminal result before it can begin
+//                         producing the final answer, so the perceived "pause" reflects
+//                         tool execution time, not stream-channel latency.
+//
+// In both cases the wrapper transparently:
+//   1. Calls tools/call with task augmentation (CallToolAsTaskAsync)
+//   2. Polls tasks/get until terminal (PollTaskUntilCompleteAsync)
+//   3. Fetches tasks/result and returns the final result to the function-calling loop
+//
+// No application-level loop or continuation tokens are required in either mode.
+
+using System.ComponentModel;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Mcp;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using ModelContextProtocol;
+using ModelContextProtocol.Client;
+using ModelContextProtocol.Protocol;
+using ModelContextProtocol.Server;
+using OpenAI.Chat;
+
+if (args.Length > 0 && args[0] == "--server")
+{
+    await RunMcpServerAsync();
+    return;
+}
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+
+// Launch this same assembly as a stdio MCP server in a child process.
+var thisAssemblyPath = typeof(Program).Assembly.Location;
+await using var mcpClient = await McpClient.CreateAsync(new StdioClientTransport(new()
+{
+    Name = "DatasetAnalyzer",
+    Command = "dotnet",
+    Arguments = [thisAssemblyPath, "--server"],
+}));
+
+// Wrap each MCP tool with task-aware behavior. The wrapper inspects the server's
+// execution.taskSupport on each tool and, when it is Required, drives the task lifecycle
+// transparently within the agent's tool loop. Tools that don't require task semantics are
+// returned as-is and invoked inline.
+var taskOptions = new McpTaskOptions
+{
+    DefaultTimeToLive = TimeSpan.FromMinutes(5),
+};
+var mcpTools = await mcpClient.ListAgentToolsWithTaskSupportAsync(taskOptions);
+
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+AIAgent agent = new AzureOpenAIClient(
+    new Uri(endpoint),
+    new DefaultAzureCredential())
+     .GetChatClient(deploymentName)
+     .AsAIAgent(
+        instructions: "You answer data-analysis questions by invoking the available tools. Always invoke a tool when one matches the request.",
+        tools: [.. mcpTools.Cast<AITool>()]);
+
+const string Prompt = "Analyze the dataset named 'sales-2025-q1' and summarize the findings.";
+
+Console.WriteLine("=== Transparent long-running MCP task (RunAsync) ===");
+Console.WriteLine("Asking the agent to analyze a dataset; the tool takes ~15s to complete.");
+Console.WriteLine("RunAsync blocks while the wrapper polls the task to completion.");
+Console.WriteLine();
+
+var stopwatch = System.Diagnostics.Stopwatch.StartNew();
+var response = await agent.RunAsync(Prompt);
+stopwatch.Stop();
+
+Console.WriteLine($"Agent response (after {stopwatch.Elapsed.TotalSeconds:F1}s):");
+Console.WriteLine(response.Text);
+
+Console.WriteLine();
+Console.WriteLine("=== Transparent long-running MCP task (RunStreamingAsync) ===");
+Console.WriteLine("Same request via the streaming API. Updates only begin to arrive after the");
+Console.WriteLine("tool's task reaches the Completed state, since the model needs the tool result");
+Console.WriteLine("before it can produce its final answer.");
+Console.WriteLine();
+
+stopwatch.Restart();
+await foreach (var update in agent.RunStreamingAsync(Prompt))
+{
+    Console.Write(update.Text);
+}
+stopwatch.Stop();
+
+Console.WriteLine();
+Console.WriteLine($"(Streaming completed after {stopwatch.Elapsed.TotalSeconds:F1}s.)");
+
+// --- Server mode (launched as a child process via --server) ---------------------------------
+static async Task RunMcpServerAsync()
+{
+    var builder = Host.CreateApplicationBuilder();
+
+    // Critical for stdio transport: any provider that writes to stdout will corrupt the
+    // JSON-RPC channel. Clear all providers; the MCP SDK routes its own diagnostics
+    // appropriately.
+    builder.Logging.ClearProviders();
+    builder.Logging.AddConsole(o => o.LogToStandardErrorThreshold = LogLevel.Trace);
+
+    builder.Services.AddMcpServer(o =>
+    {
+        o.TaskStore = new InMemoryMcpTaskStore();
+        o.ServerInfo = new Implementation { Name = "DatasetAnalyzer", Version = "1.0.0" };
+    })
+    .WithStdioServerTransport()
+    .WithTools<DatasetAnalysisTools>();
+
+    await builder.Build().RunAsync();
+}
+
+#pragma warning disable CA1812 // Discovered by MCP SDK via [McpServerToolType] attribute
+[McpServerToolType]
+internal sealed class DatasetAnalysisTools
+#pragma warning restore CA1812
+{
+    [McpServerTool(Name = "AnalyzeDataset", TaskSupport = ToolTaskSupport.Required)]
+    [Description("Analyze a tabular dataset and return summary statistics. This tool simulates a long-running analytic job (~15 seconds).")]
+    public static async Task<string> AnalyzeDatasetAsync(
+        [Description("The dataset identifier, e.g. 'sales-2025-q1'.")] string datasetName,
+        CancellationToken cancellationToken)
+    {
+        await Task.Delay(TimeSpan.FromSeconds(15), cancellationToken).ConfigureAwait(false);
+
+        return $"Findings for '{datasetName}': 12,403 rows; avg revenue $48,712; 3 anomalies detected in week 7; outliers concentrated in EMEA region.";
+    }
+}
@@ -0,0 +1,60 @@
+# Agent with MCP long-running task (transparent polling)
+
+This sample demonstrates Microsoft Agent Framework's MCP long-running task support: an agent invokes an MCP tool whose execution takes too long for a single request/response cycle, and the framework polls it to completion behind the function-calling loop. From the agent's perspective the tool simply returns its result.
+
+## What this sample shows
+
+- Using `McpClient.ListAgentToolsWithTaskSupportAsync(...)` (in `Microsoft.Agents.AI.Mcp`) to wrap MCP tools with task-aware behavior.
+- Configuring `McpTaskOptions.DefaultTimeToLive` to bound the server-side task.
+- Hosting a small MCP server (in this same executable, launched with `--server`) that advertises `execution.taskSupport=required` on a tool that sleeps for ~15 seconds.
+- No application-level polling, continuation tokens, or `AllowBackgroundResponses` flag are required.
+
+The decorator drives the lifecycle internally:
+
+1. `tools/call` augmented with task metadata (`CallToolAsTaskAsync`)
+2. `tasks/get` polled until terminal (`PollTaskUntilCompleteAsync`)
+3. `tasks/result` retrieved (`GetTaskResultAsync`) and returned to the function-calling loop
+
+The sample exercises both invocation styles against the same wrapper:
+
+- `agent.RunAsync(...)` blocks until the tool completes (~15 seconds in this sample) and returns the final response.
+- `agent.RunStreamingAsync(...)` returns immediately and yields `AgentResponseUpdate` chunks as the model emits them; in this scenario the model only begins streaming its answer once the wrapped tool's task reaches the `Completed` state, so the perceived "pause" before tokens arrive reflects tool execution time, not stream-channel latency.
+
+# Prerequisites
+
+- .NET 10 SDK or later
+- Azure OpenAI service endpoint and a chat-completions deployment
+- Azure CLI installed and authenticated (`az login`)
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # optional; defaults to gpt-5.4-mini
+```
+
+# Running
+
+```powershell
+cd Agent_MCP_LongRunningTask_Client
+dotnet run
+```
+
+You should see output similar to:
+
+```
+=== Transparent long-running MCP task (RunAsync) ===
+Asking the agent to analyze a dataset; the tool takes ~15s to complete.
+RunAsync blocks while the wrapper polls the task to completion.
+
+Agent response (after 15.4s):
+The 'sales-2025-q1' dataset contains 12,403 rows ...
+
+=== Transparent long-running MCP task (RunStreamingAsync) ===
+Same request via the streaming API. Updates only begin to arrive after the
+tool's task reaches the Completed state, since the model needs the tool result
+before it can produce its final answer.
+
+The 'sales-2025-q1' dataset contains 12,403 rows ...
+(Streaming completed after 15.7s.)
+```
@@ -22,6 +22,7 @@ Before you begin, ensure you have the following prerequisites:
 |[Agent with MCP server tools](./Agent_MCP_Server/)|This sample demonstrates how to use MCP server tools with a simple agent|
 |[Agent with MCP server tools and authorization](./Agent_MCP_Server_Auth/)|This sample demonstrates how to use MCP Server tools from a protected MCP server with a simple agent|
 |[Responses Agent with Hosted MCP tool](./ResponseAgent_Hosted_MCP/)|This sample demonstrates how to use the Hosted MCP tool with the Responses Service, where the service invokes any MCP tools directly|
+|[Agent with long-running MCP task (transparent polling)](./Agent_MCP_LongRunningTask_Client/)|This sample demonstrates how an agent transparently drives a long-running MCP task (SEP-2663) to completion. The wrapper polls the task internally on both `RunAsync` and `RunStreamingAsync` invocations.|

 ## Running the samples from the console

@@ -1,30 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <UserSecretsId>5ee045b0-aea3-4f08-8d31-32d1a6f8fed0</UserSecretsId>
-    <NoWarn>$(NoWarn);CA1812</NoWarn>
-  </PropertyGroup>
-
-  <PropertyGroup>
-    <InjectSharedThrow>true</InjectSharedThrow>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Microsoft.Extensions.Configuration" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.Binder" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.EnvironmentVariables" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.Json" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" />
-    <PackageReference Include="Microsoft.Extensions.DependencyInjection" />
-    <PackageReference Include="Microsoft.Extensions.Logging" />
-  </ItemGroup>
-  
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,105 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Diagnostics;
-using Microsoft.Agents.AI.Workflows.Declarative;
-
-namespace Demo.DeclarativeEject;
-
-/// <summary>
-/// HOW TO: Convert a workflow from a declartive (yaml based) definition to code.
-/// </summary>
-/// <remarks>
-/// <b>Usage</b>
-/// Provide the path to the workflow definition file as the first argument.
-/// All other arguments are intepreted as a queue of inputs.
-/// When no input is queued, interactive input is requested from the console.
-/// </remarks>
-internal sealed class Program
-{
-    public static void Main(string[] args)
-    {
-        Program program = new(args);
-        program.Execute();
-    }
-
-    private void Execute()
-    {
-        // Read and parse the declarative workflow.
-        Notify($"WORKFLOW: Parsing {Path.GetFullPath(this.WorkflowFile)}");
-
-        Stopwatch timer = Stopwatch.StartNew();
-
-        // Use DeclarativeWorkflowBuilder to generate code based on a YAML file.
-        string code =
-            DeclarativeWorkflowBuilder.Eject(
-                this.WorkflowFile,
-                DeclarativeWorkflowLanguage.CSharp,
-                workflowNamespace: "Demo.DeclarativeCode",
-                workflowPrefix: "Sample");
-
-        Notify($"\nWORKFLOW: Defined {timer.Elapsed}\n");
-
-        Console.WriteLine(code);
-    }
-
-    private const string DefaultWorkflow = "Marketing.yaml";
-
-    private string WorkflowFile { get; }
-
-    private Program(string[] args)
-    {
-        this.WorkflowFile = ParseWorkflowFile(args);
-    }
-
-    private static string ParseWorkflowFile(string[] args)
-    {
-        string workflowFile = args.FirstOrDefault() ?? DefaultWorkflow;
-
-        if (!File.Exists(workflowFile) && !Path.IsPathFullyQualified(workflowFile))
-        {
-            string? repoFolder = GetRepoFolder();
-            if (repoFolder is not null)
-            {
-                workflowFile = Path.Combine(repoFolder, "declarative-agents", "workflow-samples", workflowFile);
-                workflowFile = Path.ChangeExtension(workflowFile, ".yaml");
-            }
-        }
-
-        if (!File.Exists(workflowFile))
-        {
-            throw new InvalidOperationException($"Unable to locate workflow: {Path.GetFullPath(workflowFile)}.");
-        }
-
-        return workflowFile;
-
-        static string? GetRepoFolder()
-        {
-            DirectoryInfo? current = new(Directory.GetCurrentDirectory());
-
-            while (current is not null)
-            {
-                if (Directory.Exists(Path.Combine(current.FullName, ".git")))
-                {
-                    return current.FullName;
-                }
-
-                current = current.Parent;
-            }
-
-            return null;
-        }
-    }
-
-    private static void Notify(string message)
-    {
-        Console.ForegroundColor = ConsoleColor.Cyan;
-        try
-        {
-            Console.WriteLine(message);
-        }
-        finally
-        {
-            Console.ResetColor();
-        }
-    }
-}
@@ -1,28 +0,0 @@
-{
-  "profiles": {
-    "Marketing": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Marketing.yaml\""
-    },
-    "MathChat": {
-      "commandName": "Project",
-      "commandLineArgs": "\"MathChat.yaml\""
-    },
-    "Question": {
-      "commandName": "Project",
-      "commandLineArgs": "\"Question.yaml\""
-    },
-    "Research": {
-      "commandName": "Project",
-      "commandLineArgs": "\"DeepResearch.yaml\""
-    },
-    "ResponseObject": {
-      "commandName": "Project",
-      "commandLineArgs": "\"ResponseObject.yaml\""
-    },
-    "UserInput": {
-      "commandName": "Project",
-      "commandLineArgs": "\"UserInput.yaml\""
-    }
-  }
-}
@@ -0,0 +1,23 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);MAAIW001;OPENAI001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,193 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample ports the Python Magentic orchestration sample to .NET.
+// A Magentic workflow coordinates a researcher and a coder, streams orchestration
+// events as the plan evolves, and prints the final conversation transcript.
+
+using Azure.AI.Projects;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Agents.AI.Workflows.Specialized.Magentic;
+using Microsoft.Extensions.AI;
+
+namespace WorkflowMagenticOrchestrationSample;
+
+/// <summary>
+/// Demonstrates Magentic orchestration with a researcher, a coder, and an LLM manager.
+/// </summary>
+/// <remarks>
+/// Pre-requisites:
+/// - An Azure AI Foundry project endpoint and model deployment must be configured.
+/// - Run <c>az login</c> before executing the sample.
+/// </remarks>
+public static class Program
+{
+    private const string TaskPrompt =
+        "I am preparing a report on the energy efficiency of different machine learning model architectures. " +
+        "Compare the estimated training and inference energy consumption of ResNet-50, BERT-base, and GPT-2 " +
+        "on standard datasets (e.g., ImageNet for ResNet, GLUE for BERT, WebText for GPT-2). " +
+        "Then, estimate the CO2 emissions associated with each, assuming training on an Azure Standard_NC6s_v3 " +
+        "VM for 24 hours. Provide tables for clarity, and recommend the most energy-efficient model " +
+        "per task type (image classification, text classification, and text generation).";
+
+    private static async Task Main()
+    {
+        string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
+            ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+        string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+
+        // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+        // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+        // latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+        AIProjectClient projectClient = new(new Uri(endpoint), new DefaultAzureCredential());
+
+        AIAgent researcherAgent = projectClient.AsAIAgent(
+            deploymentName,
+            name: "ResearcherAgent",
+            description: "Specialist in research and information gathering.",
+            instructions: "You are a researcher. Find relevant information without doing additional computation or quantitative analysis.");
+
+        AIAgent coderAgent = projectClient.AsAIAgent(
+            deploymentName,
+            name: "CoderAgent",
+            description: "A helpful assistant that writes and executes code to analyze data.",
+            instructions: "You solve quantitative questions by writing and running code. Show the analysis and the computation process clearly.",
+            tools: [new HostedCodeInterpreterTool()]);
+
+        AIAgent managerAgent = projectClient.AsAIAgent(
+            deploymentName,
+            name: "MagenticManager",
+            description: "Orchestrator that coordinates the research and coding workflow.",
+            instructions: "You coordinate the team to complete complex tasks efficiently.");
+
+        Workflow workflow = new MagenticWorkflowBuilder(managerAgent)
+            .AddParticipants([researcherAgent, coderAgent])
+            .WithName("Magentic Orchestration Workflow")
+            .WithDescription("Coordinates a researcher and coder to solve a complex analytical task.")
+            .RequirePlanSignoff(false)
+            .WithMaxRounds(10)
+            .WithMaxStalls(3)
+            .WithMaxResets(2)
+            .Build();
+
+        Console.WriteLine("Building Magentic workflow...");
+        Console.WriteLine();
+        Console.WriteLine($"Task: {TaskPrompt}");
+        Console.WriteLine();
+        Console.WriteLine("Starting workflow execution...");
+
+        await using StreamingRun run = await InProcessExecution.RunStreamingAsync(
+            workflow,
+            new List<ChatMessage> { new(ChatRole.User, TaskPrompt) });
+
+        await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
+
+        string? lastResponseId = null;
+        WorkflowOutputEvent? finalOutput = null;
+
+        await foreach (WorkflowEvent workflowEvent in run.WatchStreamAsync())
+        {
+            switch (workflowEvent)
+            {
+                case AgentResponseUpdateEvent updateEvent:
+                    WriteStreamingUpdate(updateEvent, ref lastResponseId);
+                    break;
+
+                case MagenticPlanCreatedEvent planCreated:
+                    WriteMagenticMessage("Initial Plan", planCreated.FullTaskLedger.Text);
+                    PauseIfInteractive();
+                    break;
+
+                case MagenticReplannedEvent replanned:
+                    WriteMagenticMessage("Replanned", replanned.FullTaskLedger.Text);
+                    PauseIfInteractive();
+                    break;
+
+                case MagenticProgressLedgerUpdatedEvent progressUpdated:
+                    WriteMagenticMessage("Progress Ledger", FormatProgressLedger(progressUpdated.ProgressLedger));
+                    PauseIfInteractive();
+                    break;
+
+                case WorkflowOutputEvent outputEvent when outputEvent.Is<List<ChatMessage>>():
+                    finalOutput = outputEvent;
+                    break;
+
+                case WorkflowErrorEvent workflowError:
+                    Console.ForegroundColor = ConsoleColor.Red;
+                    Console.Error.WriteLine(workflowError.Exception?.ToString() ?? "Unknown workflow error occurred.");
+                    Console.ResetColor();
+                    break;
+
+                case ExecutorFailedEvent executorFailed:
+                    Console.ForegroundColor = ConsoleColor.Red;
+                    Console.Error.WriteLine($"Executor '{executorFailed.ExecutorId}' failed with {(executorFailed.Data is null ? "unknown error" : $"exception {executorFailed.Data}")}.");
+                    Console.ResetColor();
+                    break;
+            }
+        }
+
+        if (finalOutput?.As<List<ChatMessage>>() is { } transcript)
+        {
+            Console.WriteLine();
+            Console.WriteLine(new string('=', 80));
+            Console.WriteLine();
+            Console.WriteLine("Final Conversation Transcript:");
+            Console.WriteLine();
+
+            foreach (ChatMessage message in transcript)
+            {
+                Console.WriteLine($"{message.AuthorName ?? message.Role.ToString()}: {message.Text}");
+                Console.WriteLine();
+            }
+        }
+    }
+
+    private static void WriteStreamingUpdate(AgentResponseUpdateEvent updateEvent, ref string? lastResponseId)
+    {
+        string responseId = updateEvent.Update.ResponseId ?? updateEvent.Update.MessageId ?? updateEvent.ExecutorId;
+        if (!string.Equals(responseId, lastResponseId, StringComparison.Ordinal))
+        {
+            if (lastResponseId is not null)
+            {
+                Console.WriteLine();
+                Console.WriteLine();
+            }
+
+            Console.Write($"- {updateEvent.ExecutorId}: ");
+            lastResponseId = responseId;
+        }
+
+        if (!string.IsNullOrEmpty(updateEvent.Update.Text))
+        {
+            Console.Write(updateEvent.Update.Text);
+        }
+    }
+
+    private static void WriteMagenticMessage(string title, string? content)
+    {
+        Console.WriteLine();
+        Console.WriteLine($"[Magentic {title}]");
+        Console.WriteLine(content);
+    }
+
+    private static string FormatProgressLedger(MagenticProgressLedger ledger) =>
+        string.Join(Environment.NewLine,
+            $"Request satisfied: {ledger.IsRequestSatisfied}",
+            $"In loop: {ledger.IsInLoop}",
+            $"Making progress: {ledger.IsProgressBeingMade}",
+            $"Next speaker: {ledger.NextSpeaker}",
+            $"Instruction: {ledger.InstructionOrQuestion}");
+
+    private static void PauseIfInteractive()
+    {
+        if (Console.IsInputRedirected || Console.IsOutputRedirected)
+        {
+            return;
+        }
+
+        Console.Write("Press Enter to continue...");
+        Console.ReadLine();
+        Console.WriteLine();
+    }
+}
@@ -0,0 +1,40 @@
+# Magentic Orchestration Sample
+
+This sample showcases the Magentic Orchestration Pattern in .NET, setting up a team with three roles:
+
+- **ResearcherAgent** gathers factual background information.
+- **CoderAgent** uses `HostedCodeInterpreterTool` for quantitative analysis.
+- **MagenticManager** plans the work, tracks progress, and decides who should act next.
+
+## What This Sample Demonstrates
+
+- Building a Magentic workflow with `MagenticWorkflowBuilder`
+- Combining standard responses-based agents with a code interpreter-enabled participant
+- Streaming orchestration events such as the initial plan, replans, and progress-ledger updates
+- Printing the final multi-agent conversation transcript
+
+## Prerequisites
+
+- `AZURE_AI_PROJECT_ENDPOINT` set to your Azure AI Foundry project endpoint
+- `AZURE_AI_MODEL_DEPLOYMENT_NAME` set to your model deployment name (defaults to `gpt-5.4-mini`)
+- `az login` completed before running the sample
+
+## Running the Sample
+
+```bash
+dotnet run
+```
+
+## Expected Output
+
+The sample prints:
+
+1. The original task prompt
+2. Streamed updates from the participating agents
+3. Magentic plan and progress-ledger events as the workflow coordinates the team
+4. The final conversation transcript returned by the workflow
+
+## Related Samples
+
+- [Handoff Orchestration](../Handoff) - another multi-agent orchestration pattern in .NET workflows
+- [Python Magentic workflow sample](../../../../../python/samples/03-workflows/orchestrations/magentic.py) - the source scenario that this sample ports
@@ -62,3 +62,4 @@ Once completed, please proceed to the other samples listed below.
 | Sample | Concepts |
 |--------|----------|
 | [Handoff Orchestration](./Orchestration/Handoff) | Introduces the Handoff Orchestration pattern |
+| [Magentic Orchestration](./Orchestration/Magentic) | Coordinates multiple agents with a Magentic manager, streamed plan events, and a final transcript |
@@ -0,0 +1,14 @@
+AZURE_AI_PROJECT_ENDPOINT=<your-azure-ai-project-endpoint>
+ASPNETCORE_URLS=http://+:8088
+ASPNETCORE_ENVIRONMENT=Development
+AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
+AGENT_NAME=hosted-agent-skills
+SKILL_NAMES=support-style,escalation-policy
+# Set to true to provision sample skills to Foundry on startup (first-run convenience).
+# In production, skills are provisioned externally — leave this unset or false.
+PROVISION_SAMPLE_SKILLS=true
+AZURE_BEARER_TOKEN=DefaultAzureCredential
+# When running outside the Foundry platform the platform-injected isolation keys are absent.
+# These two variables provide fallback values for local Docker debugging only.
+HOSTED_USER_ISOLATION_KEY=local-dev-user
+HOSTED_CHAT_ISOLATION_KEY=local-dev-chat
@@ -0,0 +1,26 @@
+# Dockerfile for end-users consuming the Agent Framework via NuGet packages.
+#
+# This Dockerfile performs a full `dotnet restore` and `dotnet publish` inside the container,
+# which only succeeds when the project references its dependencies via PackageReference (see the
+# commented-out section in HostedAgentSkills.csproj). Contributors building from the
+# agent-framework repository source must use Dockerfile.contributor instead because
+# ProjectReference dependencies live outside this folder and cannot be restored from inside
+# this build context.
+#
+# Use the official .NET 10.0 ASP.NET runtime as a parent image
+FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS base
+WORKDIR /app
+
+FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
+WORKDIR /src
+COPY . .
+RUN dotnet restore
+RUN dotnet publish -c Release -o /app/publish
+
+# Final stage
+FROM base AS final
+WORKDIR /app
+COPY --from=build /app/publish .
+EXPOSE 8088
+ENV ASPNETCORE_URLS=http://+:8088
+ENTRYPOINT ["dotnet", "HostedAgentSkills.dll"]
@@ -0,0 +1,23 @@
+# Dockerfile for contributors building from the agent-framework repository source.
+#
+# This project uses ProjectReference to the local Microsoft.Agents.AI source,
+# which means a standard multi-stage Docker build cannot resolve dependencies outside
+# this folder. Instead, pre-publish the app targeting the container runtime and copy
+# the output into the container:
+#
+#   dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
+#   docker build -f Dockerfile.contributor -t hosted-agent-skills .
+#   docker run --rm -p 8088:8088 \
+#     -e AGENT_NAME=hosted-agent-skills \
+#     -e HOSTED_USER_ISOLATION_KEY=alice \
+#     -e HOSTED_CHAT_ISOLATION_KEY=alice-chat-1 \
+#     --env-file .env hosted-agent-skills
+#
+# For end-users consuming the NuGet package (not ProjectReference), use the standard
+# Dockerfile which performs a full dotnet restore + publish inside the container.
+FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
+WORKDIR /app
+COPY out/ .
+EXPOSE 8088
+ENV ASPNETCORE_URLS=http://+:8088
+ENTRYPOINT ["dotnet", "HostedAgentSkills.dll"]
@@ -0,0 +1,40 @@
+<Project Sdk="Microsoft.NET.Sdk.Web">
+
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <CentralPackageTransitivePinningEnabled>false</CentralPackageTransitivePinningEnabled>
+    <RootNamespace>HostedAgentSkills</RootNamespace>
+    <AssemblyName>HostedAgentSkills</AssemblyName>
+    <NoWarn>$(NoWarn);MEAI001;OPENAI001;AAIP001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="DotNetEnv" />
+  </ItemGroup>
+
+  <!-- For contributors: uses ProjectReference to build against local source -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
+    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
+  </ItemGroup>
+
+  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI" Version="1.6.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+  </ItemGroup>
+  -->
+
+  <!-- Include the skills/ directory in the publish output so the sample can provision them -->
+  <ItemGroup>
+    <None Include="skills\**\*" CopyToOutputDirectory="PreserveNewest" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,215 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// Hosted-AgentSkills
+//
+// Demonstrates how to host an agent that loads its behavioral guidelines from Foundry Skills at
+// startup. Skills are authored as SKILL.md files, uploaded to Foundry via the Skills REST API,
+// and downloaded by the agent on boot so guideline updates ship without code changes.
+//
+// The agent uses AgentSkillsProvider from the Agent Framework which implements the progressive
+// disclosure pattern from the Agent Skills specification (https://agentskills.io/):
+//   1. Advertise — skill names and descriptions are injected into the system prompt.
+//   2. Load — the model calls load_skill to retrieve the full SKILL.md body on demand.
+//
+// IMPORTANT: In production, skill provisioning (uploading SKILL.md files to Foundry) is an
+// external concern — it is NOT the hosted agent's responsibility. The provisioning helper below
+// is included for sample convenience only, so the sample is self-contained and runnable without
+// a separate setup step. A real deployment pipeline would provision skills separately (e.g., via
+// a CI/CD step, a CLI script, or a management portal).
+
+#pragma warning disable AAIP001 // ProjectAgentSkills is experimental
+
+using System.ClientModel;
+using System.IO.Compression;
+using Azure.AI.Projects;
+using Azure.AI.Projects.Agents;
+using Azure.Core;
+using Azure.Identity;
+using DotNetEnv;
+using Hosted_Shared_Contributor_Setup;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Foundry.Hosting;
+using Microsoft.Extensions.AI;
+
+// Load .env file if present (for local development)
+Env.TraversePath().Load();
+
+string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o";
+string skillNames = Environment.GetEnvironmentVariable("SKILL_NAMES")
+    ?? throw new InvalidOperationException("SKILL_NAMES is not set. Provide a comma-separated list of skill names (e.g., support-style,escalation-policy).");
+
+string[] requestedSkills = skillNames.Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries);
+if (requestedSkills.Length == 0)
+{
+    throw new InvalidOperationException("SKILL_NAMES must list at least one skill name.");
+}
+
+// Validate skill names to prevent path traversal.
+foreach (string name in requestedSkills)
+{
+    if (name.Contains('.') || name.Contains('/') || name.Contains('\\') || Path.IsPathRooted(name))
+    {
+        throw new InvalidOperationException(
+            $"Invalid skill name '{name}': skill names must not contain path separators or dots.");
+    }
+}
+
+// Use a chained credential: try a temporary dev token first (for local Docker debugging),
+// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in production).
+TokenCredential credential = new ChainedTokenCredential(
+    new DevTemporaryTokenCredential(),
+    new DefaultAzureCredential());
+
+AIProjectClient projectClient = new(new Uri(endpoint), credential);
+ProjectAgentSkills skillsClient = projectClient.AgentAdministrationClient.GetAgentSkills();
+
+// ── Provision skills (sample convenience only — NOT a production pattern) ─────
+// In production, skills are provisioned externally (e.g., via CI/CD or a management script).
+// This helper ensures the sample's SKILL.md files exist in Foundry so the sample is runnable
+// out of the box without a separate setup step. Set PROVISION_SAMPLE_SKILLS=true to enable.
+string sourceSkillsDir = Path.Combine(AppContext.BaseDirectory, "skills");
+bool provisionEnabled = string.Equals(
+    Environment.GetEnvironmentVariable("PROVISION_SAMPLE_SKILLS"), "true", StringComparison.OrdinalIgnoreCase);
+if (provisionEnabled && Directory.Exists(sourceSkillsDir))
+{
+    await EnsureSkillsProvisionedAsync(skillsClient, sourceSkillsDir, requestedSkills);
+}
+
+// ── Download skills from Foundry ─────────────────────────────────────────────
+// Pull the latest copy of each skill from Foundry into a runtime-only folder.
+// This directory is recreated on every startup so the agent always picks up
+// the latest version of each skill.
+string downloadedSkillsDir = Path.Combine(AppContext.BaseDirectory, "downloaded_skills");
+await DownloadSkillsAsync(skillsClient, requestedSkills, downloadedSkillsDir);
+
+// ── Wire skills into the agent ───────────────────────────────────────────────
+// AgentSkillsProvider implements progressive disclosure: skill names and descriptions
+// are advertised in the system prompt (~100 tokens per skill), and the full SKILL.md
+// body is loaded on demand when the model calls the load_skill tool.
+AgentSkillsProvider skillsProvider = new(downloadedSkillsDir);
+
+ChatClientAgent agent = projectClient.AsAIAgent(new ChatClientAgentOptions
+{
+    Name = Environment.GetEnvironmentVariable("AGENT_NAME") ?? "hosted-agent-skills",
+    ChatOptions = new ChatOptions
+    {
+        ModelId = deploymentName,
+        Instructions = "You are a customer-support assistant for Contoso Outdoors.",
+    },
+    AIContextProviders = [skillsProvider]
+});
+
+// Host the agent as a Foundry Hosted Agent using the Responses API.
+var builder = WebApplication.CreateBuilder(args);
+builder.Services.AddFoundryResponses(agent);
+builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
+
+var app = builder.Build();
+app.MapFoundryResponses();
+
+// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
+// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
+// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
+app.MapDevTemporaryLocalAgentEndpoint();
+
+app.Run();
+
+// ── Helpers ──────────────────────────────────────────────────────────────────
+
+// Downloads each named skill from Foundry and extracts the ZIP archive into a
+// separate subdirectory under the target directory.
+static async Task DownloadSkillsAsync(ProjectAgentSkills skillsClient, string[] skillNames, string targetDir)
+{
+    if (Directory.Exists(targetDir))
+    {
+        Directory.Delete(targetDir, recursive: true);
+    }
+
+    Directory.CreateDirectory(targetDir);
+
+    foreach (string name in skillNames)
+    {
+        Console.WriteLine($"Downloading skill '{name}' from Foundry...");
+        BinaryData zipData = await skillsClient.DownloadSkillAsync(name);
+
+        string skillDir = Path.Combine(targetDir, name);
+        Directory.CreateDirectory(skillDir);
+
+        using var zipStream = zipData.ToStream();
+        using var archive = new ZipArchive(zipStream, ZipArchiveMode.Read);
+        SafeExtractZip(archive, skillDir);
+
+        if (!File.Exists(Path.Combine(skillDir, "SKILL.md")))
+        {
+            throw new InvalidOperationException(
+                $"Downloaded archive for '{name}' did not contain a SKILL.md at the root.");
+        }
+    }
+}
+
+// Extracts a ZIP archive into a destination directory, rejecting entries that would
+// escape the target path (zip-slip guard).
+static void SafeExtractZip(ZipArchive archive, string destinationDir)
+{
+    string destRoot = Path.GetFullPath(destinationDir);
+    string destRootWithSep = Path.EndsInDirectorySeparator(destRoot)
+        ? destRoot
+        : destRoot + Path.DirectorySeparatorChar;
+
+    // Use ordinal comparison on Unix (case-sensitive FS) and ordinal-ignore-case on Windows.
+    var comparison = OperatingSystem.IsWindows()
+        ? StringComparison.OrdinalIgnoreCase
+        : StringComparison.Ordinal;
+
+    foreach (ZipArchiveEntry entry in archive.Entries)
+    {
+        string entryPath = Path.GetFullPath(Path.Combine(destRoot, entry.FullName));
+        if (!entryPath.StartsWith(destRootWithSep, comparison)
+            && !string.Equals(entryPath, destRoot, comparison))
+        {
+            throw new InvalidOperationException(
+                $"Refusing to extract unsafe path '{entry.FullName}' outside of '{destRoot}'.");
+        }
+
+        if (string.IsNullOrEmpty(entry.Name))
+        {
+            // Directory entry — ensure it exists.
+            Directory.CreateDirectory(entryPath);
+        }
+        else
+        {
+            Directory.CreateDirectory(Path.GetDirectoryName(entryPath)!);
+            entry.ExtractToFile(entryPath, overwrite: true);
+        }
+    }
+}
+
+// Ensures each requested skill is provisioned in Foundry. For each skill name, checks whether
+// the skill exists and uploads it from the local source directory if it does not.
+//
+// This is a sample convenience helper — in production, skill provisioning is an external concern.
+static async Task EnsureSkillsProvisionedAsync(ProjectAgentSkills skillsClient, string sourceDir, string[] skillNames)
+{
+    foreach (string name in skillNames)
+    {
+        string skillPath = Path.Combine(sourceDir, name);
+        if (!Directory.Exists(skillPath) || !File.Exists(Path.Combine(skillPath, "SKILL.md")))
+        {
+            continue; // No local source for this skill — skip provisioning.
+        }
+
+        try
+        {
+            await skillsClient.GetSkillAsync(name);
+            Console.WriteLine($"Skill '{name}' already exists in Foundry.");
+        }
+        catch (ClientResultException ex) when (ex.Status == 404)
+        {
+            Console.WriteLine($"Provisioning skill '{name}' from {skillPath}...");
+            AgentsSkill imported = await skillsClient.CreateSkillFromPackageAsync(skillPath);
+            Console.WriteLine($"  Imported skill '{imported.Name}' (id={imported.SkillId}, has_blob={imported.HasBlob}).");
+        }
+    }
+}
@@ -0,0 +1,109 @@
+# What this sample demonstrates
+
+An [Agent Framework](https://github.com/microsoft/agent-framework) agent that loads its behavioral guidelines from [**Foundry Skills**](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/skills) at startup, hosted using the **Responses protocol**. Skills are authored once as `SKILL.md` files, uploaded to your Foundry project through the Skills REST API, and downloaded by the agent on boot so updates ship without code changes.
+
+## How It Works
+
+### Authoring skills
+
+Each skill is a Markdown file with a YAML front matter block. This sample ships two source skills under [`skills/`](skills/):
+
+| Skill | Purpose |
+|---|---|
+| [`support-style`](skills/support-style/SKILL.md) | Voice, formatting, and signature rules for Contoso Outdoors support replies. |
+| [`escalation-policy`](skills/escalation-policy/SKILL.md) | When and how to escalate a customer ticket. |
+
+Each `SKILL.md` includes a unique `*-CANARY-*` token that the model is asked to echo, so you can prove the skill was loaded from Foundry (not hallucinated) by checking the response.
+
+> The `name` and `description` values in the YAML front matter must be **unquoted** — quoting them causes the Skills REST API to return HTTP 500 on import.
+
+### Uploading skills
+
+The sample includes a convenience provisioning step that checks whether each skill exists in Foundry and uploads it if not, gated behind the `PROVISION_SAMPLE_SKILLS=true` env var. **In production, skill provisioning is an external concern** — it is NOT the hosted agent's responsibility. A real deployment pipeline would provision skills separately (e.g., via a CI/CD step, a CLI script, or a management portal).
+
+The provisioning uses `ProjectAgentSkills.CreateSkillFromPackageAsync(directoryPath)` from the `Azure.AI.Projects.Agents` SDK. The method packages the `SKILL.md` file as a ZIP and uploads it to Foundry.
+
+### Downloading skills at agent startup
+
+[`Program.cs`](Program.cs) reads the comma-separated `SKILL_NAMES` env var and for each skill name downloads the ZIP archive from Foundry via `ProjectAgentSkills.DownloadSkillAsync(name)`, then unpacks it into a **separate runtime directory** at `downloaded_skills/<name>/` (kept distinct from the static `skills/` source folder).
+
+An [`AgentSkillsProvider`](../../../../../src/Microsoft.Agents.AI/Skills/AgentSkillsProvider.cs) is then built over `downloaded_skills/` and attached to the agent as a context provider. The provider follows the [Agent Skills](https://agentskills.io/) progressive-disclosure pattern:
+
+1. **Advertise** — skill names and descriptions are injected into the system prompt at session start (~100 tokens per skill).
+2. **Load** — the model calls the `load_skill` tool when it decides a skill is relevant to the user's turn, and the full `SKILL.md` body is returned.
+
+This means the model only pays the token cost for a skill's full body when it actually needs it, and updating a skill in Foundry + restarting the agent is enough to pick up the change — no code redeploy required.
+
+> **Note:** This sample supports instruction-only and resource-based skills. If your downloaded skills contain scripts, add a script runner when constructing the `AgentSkillsProvider`.
+
+### Agent Hosting
+
+The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the Responses API hosting layer (`AddFoundryResponses` / `MapFoundryResponses`).
+
+## Prerequisites
+
+- An Azure AI Foundry project with a deployed model (e.g., `gpt-4o`)
+- Azure CLI logged in (`az login`)
+
+### Required RBAC
+
+Your identity (or the Managed Identity running the container in production) needs **Azure AI User** on the Foundry project scope. This single role covers both authoring skills and downloading them.
+
+## Running the Agent Host
+
+Set the required environment variables and run the sample with `dotnet run`:
+
+```bash
+export AZURE_AI_PROJECT_ENDPOINT="https://<account>.services.ai.azure.com/api/projects/<project>"
+export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o"
+export SKILL_NAMES="support-style,escalation-policy"
+export PROVISION_SAMPLE_SKILLS="true"   # First run only — provisions skills to Foundry
+```
+
+Or in PowerShell:
+
+```powershell
+$env:SKILL_NAMES="support-style,escalation-policy"
+$env:PROVISION_SAMPLE_SKILLS="true"     # First run only — provisions skills to Foundry
+```
+
+You can also place these in a `.env` file next to `Program.cs` — see [`.env.example`](.env.example).
+
+On startup you should see:
+
+```text
+Skill 'support-style' already exists in Foundry.
+Skill 'escalation-policy' already exists in Foundry.
+Downloading skill 'support-style' from Foundry...
+Downloading skill 'escalation-policy' from Foundry...
+```
+
+The downloaded `SKILL.md` files land under `downloaded_skills/<name>/SKILL.md` next to the published output. This directory is recreated from scratch on every run, so deleting it manually is never necessary.
+
+## Interacting with the agent
+
+> Send a POST request to the server with a JSON body containing an `"input"` field to interact with the agent. For example:
+
+```bash
+curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "Hi, I am Alex. I just want to confirm I can return my tent within 30 days."}'
+curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "I want a $750 refund on Order #A-1042 right now or I am calling my lawyer."}'
+```
+
+| Prompt mentions | Skill that should drive the response |
+|---|---|
+| Routine return / shipping / care question | Model loads `support-style` (canary `STYLE-CANARY-3318`) — no escalation. |
+| Injury, legal threat, press, or refund > $500 | Model loads `escalation-policy` (canary `ESC-CANARY-7742`) **and** `support-style`. |
+
+Because skills are loaded on demand, the canary token in a response also proves the model actually invoked `load_skill` for the matching skill (not just saw its name in the advertised list).
+
+## Deploying the Agent to Foundry
+
+When deploying to Foundry, make sure `SKILL_NAMES` is set in your `azd` environment so it gets injected into the hosted container per [`agent.manifest.yaml`](agent.manifest.yaml):
+
+```bash
+azd env set SKILL_NAMES "support-style,escalation-policy"
+```
+
+The deployed agent's Managed Identity needs **Azure AI User** on the Foundry project to download skills at startup.
+
+> The `skills/` source folder is **not** deployed to Foundry — only the downloaded skills are used at runtime. The provisioning step must have been run against the same Foundry project before the agent can download the skills.
@@ -0,0 +1,41 @@
+# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/AgentManifest.yaml
+name: hosted-agent-skills
+displayName: "Hosted Agent Skills"
+
+description: >
+  An Agent Framework agent that downloads its behavioral guidelines from the Foundry
+  Skills REST API at startup, demonstrating how to decouple behavioral guidelines
+  (tone, escalation policy, etc.) from agent code using AgentSkillsProvider.
+
+metadata:
+  tags:
+    - AI Agent Hosting
+    - Azure AI AgentServer
+    - Responses Protocol
+    - Agent Framework
+    - Agent Skills
+    - Foundry Skills
+
+template:
+  name: hosted-agent-skills
+  kind: hosted
+  protocols:
+    - protocol: responses
+      version: 1.0.0
+  resources:
+    cpu: "0.25"
+    memory: 0.5Gi
+  environment_variables:
+    - name: AZURE_AI_MODEL_DEPLOYMENT_NAME
+      value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
+    - name: SKILL_NAMES
+      value: "{{SKILL_NAMES}}"
+parameters:
+  properties:
+    - name: SKILL_NAMES
+      secret: false
+      description: Comma-separated list of Foundry skill names to download at startup (e.g., support-style,escalation-policy)
+resources:
+  - kind: model
+    id: gpt-4.1-mini
+    name: AZURE_AI_MODEL_DEPLOYMENT_NAME
@@ -0,0 +1,14 @@
+# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/ContainerAgent.yaml
+kind: hosted
+name: hosted-agent-skills
+protocols:
+  - protocol: responses
+    version: 1.0.0
+resources:
+  cpu: "0.25"
+  memory: 0.5Gi
+environment_variables:
+  - name: AZURE_AI_MODEL_DEPLOYMENT_NAME
+    value: ${AZURE_AI_MODEL_DEPLOYMENT_NAME}
+  - name: SKILL_NAMES
+    value: ${SKILL_NAMES}
@@ -0,0 +1,100 @@
+#requires -Version 7
+<#
+.SYNOPSIS
+  Local smoke test for the Hosted-AgentSkills sample.
+.DESCRIPTION
+  Publishes the sample, builds the contributor Docker image, runs the container, drives
+  two conversations via curl invocations, and asserts that the agent loaded the correct
+  Foundry Skill for each prompt (verified via canary tokens in the response).
+  Exits non-zero on failure.
+
+  Prerequisites:
+    - Docker
+    - az login (token is fetched from the host)
+    - .env populated with AZURE_AI_PROJECT_ENDPOINT and model deployment
+    - Skills provisioned to Foundry (set PROVISION_SAMPLE_SKILLS=true on first run)
+.NOTES
+  This script is for local Docker debugging only. The Foundry platform supplies the
+  isolation keys for every inbound request in production and the dev fallback used here
+  must not be enabled in production deployments.
+#>
+
+[CmdletBinding()]
+param(
+    [int]$Port = 8088,
+    [string]$ImageName = 'hosted-agent-skills-smoke',
+    [string]$ContainerName = 'hosted-agent-skills-smoke'
+)
+
+$ErrorActionPreference = 'Stop'
+Set-Location -Path $PSScriptRoot/..
+
+if (-not (Test-Path .env)) {
+    throw '.env not found. Copy .env.example to .env and fill in AZURE_AI_PROJECT_ENDPOINT.'
+}
+
+Write-Host '==> Publishing sample for linux-musl-x64 ...'
+dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out --tl:off | Out-Host
+if ($LASTEXITCODE -ne 0) { throw 'dotnet publish failed.' }
+
+Write-Host '==> Building docker image ...'
+docker build -f Dockerfile.contributor -t $ImageName . | Out-Host
+if ($LASTEXITCODE -ne 0) { throw 'docker build failed.' }
+
+Write-Host '==> Fetching bearer token ...'
+$bearer = az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv
+if (-not $bearer) { throw 'Failed to obtain bearer token. Run az login.' }
+
+function Start-Container {
+    docker rm -f $ContainerName 2>$null | Out-Null
+    docker run -d --name $ContainerName -p ${Port}:8088 `
+        -e AGENT_NAME=hosted-agent-skills `
+        -e AZURE_BEARER_TOKEN=$bearer `
+        -e HOSTED_USER_ISOLATION_KEY=smoke-user `
+        -e HOSTED_CHAT_ISOLATION_KEY=smoke-chat-1 `
+        --env-file .env `
+        $ImageName | Out-Host
+    if ($LASTEXITCODE -ne 0) { throw "docker run failed." }
+    # Wait for the server to start and download skills from Foundry.
+    Write-Host '  Waiting for startup (skill download + server ready) ...'
+    Start-Sleep -Seconds 15
+}
+
+function Invoke-Agent([string]$Prompt, [string]$PreviousResponseId = $null) {
+    $body = @{ input = $Prompt; model = 'hosted-agent-skills' }
+    if ($PreviousResponseId) { $body['previous_response_id'] = $PreviousResponseId }
+    $json = $body | ConvertTo-Json -Compress
+    $resp = Invoke-RestMethod -Method Post -Uri "http://localhost:$Port/responses" -ContentType 'application/json' -Body $json
+    return $resp
+}
+
+function Get-ResponseText($response) {
+    return ($response.output | ForEach-Object { $_.content | ForEach-Object { $_.text } }) -join ' '
+}
+
+function Assert-Contains([string]$Haystack, [string]$Needle, [string]$Label) {
+    if ($Haystack -notmatch [regex]::Escape($Needle)) {
+        throw "FAILED [$Label]: expected response to contain '$Needle' but got: $Haystack"
+    }
+    Write-Host "PASS  [$Label]: response contains '$Needle'."
+}
+
+try {
+    Start-Container
+
+    Write-Host '==> Test 1: Routine support question -> support-style skill ...'
+    $r1 = Invoke-Agent -Prompt 'Hi, I am Alex. I just want to confirm I can return my tent within 30 days.'
+    $text1 = Get-ResponseText $r1
+    Assert-Contains $text1 'STYLE-CANARY-3318' 'routine question: support-style canary'
+
+    Write-Host '==> Test 2: Escalation trigger -> escalation-policy skill ...'
+    $r2 = Invoke-Agent -Prompt 'I want a $750 refund on Order #A-1042 right now or I am calling my lawyer.'
+    $text2 = Get-ResponseText $r2
+    Assert-Contains $text2 'ESC-CANARY-7742' 'escalation trigger: escalation-policy canary'
+
+    Write-Host ''
+    Write-Host '==> All smoke assertions passed.'
+}
+finally {
+    docker rm -f $ContainerName 2>$null | Out-Null
+}
@@ -0,0 +1,30 @@
+---
+name: escalation-policy
+description: When and how to escalate Contoso Outdoors customer-support tickets.
+---
+
+# Contoso Outdoors Escalation Policy
+
+You must follow this escalation policy on every conversation.
+
+## Escalate immediately when the customer
+
+- Reports an injury, allergic reaction, or other safety incident.
+- Mentions legal action, regulators, or the press.
+- Has waited more than 14 days for a refund that was already approved.
+- Requests a refund larger than $500.
+
+## How to escalate
+
+1. Acknowledge the issue in one sentence.
+2. Tell the customer you are escalating to a senior specialist.
+3. Provide the escalation reference `ESC-CANARY-7742` and the SLA: a senior
+   specialist will reply within 1 business day.
+4. Do not promise a specific outcome (refund, replacement, compensation) on
+   escalated tickets — only the senior specialist can commit to one.
+
+## Do not escalate
+
+- Routine returns within the standard 30-day window.
+- Shipping status questions.
+- Product care and usage questions.
@@ -0,0 +1,25 @@
+---
+name: support-style
+description: Contoso Outdoors customer-support tone and formatting guidelines.
+---
+
+# Contoso Outdoors Support Style
+
+You are speaking on behalf of Contoso Outdoors customer support.
+
+## Voice
+
+- Warm, concise, and confident — never apologetic in a hand-wringing way.
+- Use the customer's name when it is known.
+- Sign every response with `— Contoso Outdoors Support`.
+
+## Formatting
+
+- Keep replies to 1–3 short paragraphs unless the customer asks for detail.
+- Use bullet lists only when enumerating concrete steps or options.
+- Always reference order numbers as `Order #<id>` (e.g. `Order #A-1042`).
+
+## Canary
+
+To prove this skill was loaded, include the token `STYLE-CANARY-3318` on a
+separate line at the bottom of every response, prefixed with `# `.
@@ -27,9 +27,9 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.6.1" />
  </ItemGroup>
  -->

@@ -23,8 +23,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
    <PackageReference Include="Azure.AI.Projects" />
    <PackageReference Include="Azure.Identity" />
  </ItemGroup>
@@ -33,8 +33,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
  </ItemGroup>
  -->

@@ -23,8 +23,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
    <PackageReference Include="Azure.AI.Projects" />
    <PackageReference Include="Azure.Identity" />
  </ItemGroup>
@@ -25,8 +25,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
  </ItemGroup>
  -->

@@ -26,8 +26,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
  </ItemGroup>
  -->

@@ -25,8 +25,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
  </ItemGroup>
  -->

@@ -25,8 +25,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
  </ItemGroup>
  -->

@@ -26,9 +26,9 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.6.1" />
  </ItemGroup>
  -->

@@ -25,8 +25,8 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
  </ItemGroup>
  -->

@@ -32,11 +32,11 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" />
-    <PackageReference Include="Microsoft.Agents.AI.Hosting" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
-    <PackageReference Include="Microsoft.Agents.AI.Workflows" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.6.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.6.1" />
  </ItemGroup>
  -->

@@ -27,10 +27,10 @@

  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.6.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.6.1" />
  </ItemGroup>
  -->

@@ -13,8 +13,10 @@

  <ItemGroup>
    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Core" />
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="DotNetEnv" />
+    <PackageReference Include="System.ClientModel" />
  </ItemGroup>

  <ItemGroup>
@@ -13,8 +13,10 @@

  <ItemGroup>
    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Core" />
    <PackageReference Include="Azure.Identity" />
    <PackageReference Include="DotNetEnv" />
+    <PackageReference Include="System.ClientModel" />
  </ItemGroup>

  <ItemGroup>
@@ -101,6 +101,10 @@ else
    throw new ArgumentException("Either A2AServer:ApiKey or A2AServer:ConnectionString & agentName must be provided");
 }

+// When running in production, make sure to use an SessionIsolationKeyProvider, e.g. ClaimsIdentity-based
+// if using Claims-based Identity for Authentication/Authorization
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+
 builder.AddA2AServer(hostA2AAgent);

 var app = builder.Build();
@@ -49,6 +49,10 @@ var agent = new AzureOpenAIClient(
                AGUIServerSerializerContext.Default.Options)
        ]);

+// When running in production, make sure to use an SessionIsolationKeyProvider, e.g. ClaimsIdentity-based
+// if using Claims-based Identity for Authentication/Authorization
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+
 // Register the agent with the host and configure it to use an in-memory session store
 // so that conversation state is maintained across requests. In production, you may want to use a persistent session store.
 builder
@@ -28,6 +28,10 @@ builder.AddDevUI();
 builder.AddOpenAIChatCompletions();
 builder.AddOpenAIResponses();

+// When running in production, make sure to use an SessionIsolationKeyProvider, e.g. ClaimsIdentity-based
+// if using Claims-based Identity for Authentication/Authorization
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+
 var pirateAgentBuilder = builder.AddAIAgent(
    "pirate",
    instructions: "You are a pirate. Speak like a pirate",
@@ -148,6 +152,10 @@ builder.Services.AddKeyedSingleton<AIAgent>("my-di-matchingname-agent", (sp, nam
 pirateAgentBuilder.AddA2AServer();
 knightsKnavesAgentBuilder.AddA2AServer();

+// When running in production, make sure to use an SessionIsolationKeyProvider, e.g. ClaimsIdentity-based
+// if using Claims-based Identity for Authentication/Authorization
+// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
+
 var app = builder.Build();

 app.MapOpenApi();
@@ -474,6 +474,7 @@ public sealed class A2AAgent : AIAgent
            ResponseId = statusUpdateEvent.TaskId,
            RawRepresentation = statusUpdateEvent,
            Role = ChatRole.Assistant,
+            MessageId = statusUpdateEvent.Status.Message?.MessageId,
            FinishReason = MapTaskStateToFinishReason(statusUpdateEvent.Status.State),
            AdditionalProperties = statusUpdateEvent.Metadata?.ToAdditionalProperties() ?? [],
            Contents = statusUpdateEvent.Status.GetUserInputRequests(),
@@ -20,8 +20,28 @@ internal static class AGUIChatMessageExtensions
        this IEnumerable<AGUIMessage> aguiMessages,
        JsonSerializerOptions jsonSerializerOptions)
    {
+        // Coalesce consecutive AGUIAssistantMessages that carry tool_calls into a single
+        // ChatMessage. The AG-UI client (e.g. @ag-ui/client) creates a separate assistant
+        // message per tool call when ToolCallStartEvent.parentMessageId is empty, but
+        // OpenAI's chat-completion API requires every assistant message with tool_calls
+        // to be IMMEDIATELY followed by tool responses for each of its tool_call_ids.
+        // Sending two consecutive single-tool-call assistant messages before any tool
+        // result triggers HTTP 400 "tool_call_ids did not have response messages".
+        List<AIContent>? pendingContents = null;
+        string? pendingId = null;
+
        foreach (var message in aguiMessages)
        {
+            bool isAssistantWithToolCalls =
+                message is AGUIAssistantMessage am && am.ToolCalls is { Length: > 0 };
+
+            if (pendingContents is not null && !isAssistantWithToolCalls)
+            {
+                yield return new ChatMessage(ChatRole.Assistant, pendingContents) { MessageId = pendingId };
+                pendingContents = null;
+                pendingId = null;
+            }
+
            var role = MapChatRole(message.Role);

            switch (message)
@@ -84,14 +104,14 @@ internal static class AGUIChatMessageExtensions

                case AGUIAssistantMessage assistantMessage when assistantMessage.ToolCalls is { Length: > 0 }:
                {
-                    var contents = new List<AIContent>();
+                    pendingContents ??= new List<AIContent>();
+                    pendingId ??= message.Id;

                    if (!string.IsNullOrEmpty(assistantMessage.Content))
                    {
-                        contents.Add(new TextContent(assistantMessage.Content));
+                        pendingContents.Add(new TextContent(assistantMessage.Content));
                    }

-                    // Add tool calls
                    foreach (var toolCall in assistantMessage.ToolCalls)
                    {
                        Dictionary<string, object?>? arguments = null;
@@ -102,16 +122,12 @@ internal static class AGUIChatMessageExtensions
                                jsonSerializerOptions.GetTypeInfo(typeof(Dictionary<string, object?>)));
                        }

-                        contents.Add(new FunctionCallContent(
+                        pendingContents.Add(new FunctionCallContent(
                            toolCall.Id,
                            toolCall.Function.Name,
                            arguments));
                    }

-                    yield return new ChatMessage(role, contents)
-                    {
-                        MessageId = message.Id
-                    };
                    break;
                }

@@ -134,6 +150,12 @@ internal static class AGUIChatMessageExtensions
                }
            }
        }
+
+        // Flush remaining pending assistant-tool-call entry at end of stream.
+        if (pendingContents is not null)
+        {
+            yield return new ChatMessage(ChatRole.Assistant, pendingContents) { MessageId = pendingId };
+        }
    }

    public static IEnumerable<AGUIMessage> AsAGUIMessages(
@@ -448,24 +448,36 @@ internal static class ChatResponseUpdateAGUIExtensions
        };

        string? currentMessageId = null;
-        string? streamingMessageId = null;
+        string? textStreamingFallback = null;
+        bool textInFallback = false;
        string? currentReasoningBaseId = null;
        string? currentReasoningId = null;
        string? currentReasoningMessageId = null;
        await foreach (var chatResponse in updates.WithCancellation(cancellationToken).ConfigureAwait(false))
        {
-            // Generate a fallback MessageId when the provider doesn't supply one.
-            // This ensures all AGUI events have a valid messageId regardless of agent type.
-            if (string.IsNullOrWhiteSpace(chatResponse.MessageId))
+            // The text-event surface (TextMessageStart/Content/End) requires a non-empty
+            // MessageId to be valid AGUI. Generate a fallback scoped to a contiguous run of
+            // null/empty-MessageId chunks (one logical text message). Leave the raw
+            // chatResponse.MessageId untouched so the tool-call surface below uses the raw
+            // provider value — collapsing parallel tool calls under a synthetic shared parent
+            // would make the FE render them as one assistant-message bubble instead of
+            // distinct rows.
+            string? textMessageId = chatResponse.MessageId;
+            if (string.IsNullOrWhiteSpace(textMessageId))
            {
-                chatResponse.MessageId = ContainsToolResult(chatResponse)
-                    ? Guid.NewGuid().ToString("N")
-                    : (streamingMessageId ??= Guid.NewGuid().ToString("N"));
+                textStreamingFallback ??= Guid.NewGuid().ToString("N");
+                textMessageId = textStreamingFallback;
+                textInFallback = true;
+            }
+            else if (textInFallback)
+            {
+                textStreamingFallback = null;
+                textInFallback = false;
            }

            if (chatResponse is { Contents.Count: > 0 } &&
                chatResponse.Contents[0] is TextContent &&
-                !string.Equals(currentMessageId, chatResponse.MessageId, StringComparison.Ordinal))
+                !string.Equals(currentMessageId, textMessageId, StringComparison.Ordinal))
            {
                // Close any open reasoning block before opening a text message, so AG-UI
                // events are properly bracketed. MEAI providers share one MessageId across
@@ -498,11 +510,11 @@ internal static class ChatResponseUpdateAGUIExtensions
                // Start the new message
                yield return new TextMessageStartEvent
                {
-                    MessageId = chatResponse.MessageId!,
+                    MessageId = textMessageId!,
                    Role = chatResponse.Role!.Value.Value
                };

-                currentMessageId = chatResponse.MessageId;
+                currentMessageId = textMessageId;
            }

            // Emit text content if present
@@ -577,9 +589,15 @@ internal static class ChatResponseUpdateAGUIExtensions
                            currentReasoningMessageId = null;
                        }

+                        // Each tool result is a distinct tool-role message on the AGUI wire.
+                        // MEAI's FunctionInvokingChatClient shares one synthetic MessageId
+                        // across all FunctionResultContent items, but the FE keys messages
+                        // by id, so emitting them with the same id collapses them in React
+                        // reconciliation. Derive a unique, deterministic per-result id from
+                        // the (LLM-assigned) call id.
                        yield return new ToolCallResultEvent
                        {
-                            MessageId = chatResponse.MessageId,
+                            MessageId = $"result-{functionResultContent.CallId}",
                            ToolCallId = functionResultContent.CallId,
                            Content = SerializeResultContent(functionResultContent, jsonSerializerOptions) ?? "",
                            Role = AGUIRoles.Tool
@@ -674,7 +692,7 @@ internal static class ChatResponseUpdateAGUIExtensions
                            // Text content event
                            yield return new TextMessageContentEvent
                            {
-                                MessageId = chatResponse.MessageId!,
+                                MessageId = textMessageId!,
 #if !NET
                                Delta = Encoding.UTF8.GetString(dataContent.Data.ToArray())
 #else
@@ -726,17 +744,4 @@ internal static class ChatResponseUpdateAGUIExtensions
            _ => JsonSerializer.Serialize(functionResultContent.Result, options.GetTypeInfo(functionResultContent.Result.GetType())),
        };
    }
-
-    private static bool ContainsToolResult(ChatResponseUpdate chatResponse)
-    {
-        foreach (AIContent content in chatResponse.Contents)
-        {
-            if (content is FunctionResultContent)
-            {
-                return true;
-            }
-        }
-
-        return false;
-    }
 }
@@ -297,7 +297,7 @@ public class AgentResponse
                AgentId = this.AgentId,
                ResponseId = this.ResponseId,
                MessageId = message.MessageId,
-                CreatedAt = this.CreatedAt,
+                CreatedAt = message.CreatedAt ?? this.CreatedAt,
            };
        }

@@ -7,7 +7,7 @@
 ## v1.0.0-preview.260219.1

 - [BREAKING] Changed ChatHistory and AIContext Providers to have pipeline semantics ([#3806](https://github.com/microsoft/agent-framework/pull/3806))
- Marked all `RunAsync<T>` overloads as `new`, added missing ones, and added support for primitives and arrays ([#3803](https://github.com/microsoft/agent-framework/pull/3803))
+- Marked all `RunAsync<T>` overloads as `new`, added missing ones, and added support for primitives and arrays #3803
 - Improve session cast error message quality and consistency ([#3973](https://github.com/microsoft/agent-framework/pull/3973))

 ## v1.0.0-preview.260212.1
@@ -281,14 +281,19 @@ internal static class OutputConverter

                        var outputText = EncodeFunctionResultAsJsonStringPayload(functionResult.Result);

-                        var itemId = GenerateItemId("fc");
-                        var outputItem = new OutputItemFunctionToolCallOutput(
+                        // Use the SDK's convenience method so the OutputItemFunctionToolCallOutput
+                        // is constructed with a populated Id. The public OutputItemFunctionToolCallOutput
+                        // ctor only sets CallId/Output (Id is read-only), and AddOutputItem<T>+EmitAdded
+                        // does not auto-stamp Id — only ResponseId/AgentReference. Without this, the
+                        // serialized item arrives at the Foundry storage layer with id=null and is
+                        // rejected with "ID cannot be null or empty (Parameter 'id')".
+                        foreach (var evt in stream.OutputItemFunctionCallOutput(
                            functionResult.CallId,
-                            BinaryData.FromString(outputText));
+                            BinaryData.FromString(outputText)))
+                        {
+                            yield return evt;
+                        }

-                        var outputBuilder = stream.AddOutputItem<OutputItemFunctionToolCallOutput>(itemId);
-                        yield return outputBuilder.EmitAdded(outputItem);
-                        yield return outputBuilder.EmitDone(outputItem);
                        break;
                    }

@@ -2,7 +2,6 @@

 using System;
 using System.Collections.Generic;
-using System.Diagnostics.CodeAnalysis;
 using System.Linq;
 using System.Text.Json;
 using System.Text.Json.Serialization;
@@ -13,7 +12,6 @@ using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry;
 using Microsoft.Extensions.AI;
 using Microsoft.Extensions.Logging;
-using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 using OpenAI.Responses;

@@ -22,7 +20,6 @@ namespace Azure.AI.Projects;
 /// <summary>
 /// Provides extension methods for <see cref="AIProjectClient"/>.
 /// </summary>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static partial class AIProjectClientExtensions
 {
    /// <summary>
@@ -374,6 +371,7 @@ public static partial class AIProjectClientExtensions
        if (agentDefinition is DeclarativeAgentDefinition { Tools: { Count: > 0 } definitionTools })
        {
            // Check if no tools were provided while the agent definition requires in-proc tools.
+#pragma warning disable OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
            if (requireInvocableTools && chatOptions?.Tools is not { Count: > 0 } && definitionTools.Any(t => t is FunctionTool))
            {
                throw new ArgumentException("The agent definition in-process tools must be provided in the extension method tools parameter.");
@@ -406,6 +404,7 @@ public static partial class AIProjectClientExtensions

                (agentTools ??= []).Add(responseTool.AsAITool());
            }
+#pragma warning restore OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

            if (requireInvocableTools && missingTools is { Count: > 0 })
            {
@@ -1,13 +1,11 @@
 // Copyright (c) Microsoft. All rights reserved.

 using System;
-using System.Diagnostics.CodeAnalysis;
 using System.Threading;
 using System.Threading.Tasks;
 using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
-using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;

 namespace Microsoft.Agents.AI.Foundry;
@@ -17,7 +15,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <c>to_prompt_agent(agent)</c> function for agents whose underlying chat client is a
 /// <see cref="FoundryChatClient"/>.
 /// </summary>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static class ChatClientAgentFoundryExtensions
 {
    /// <summary>
@@ -5,7 +5,6 @@ using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
-using Microsoft.Shared.DiagnosticIds;
 using OpenAI.Responses;

 #pragma warning disable OPENAI001
@@ -27,7 +26,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <c>FoundryAITool.CreateOpenApiTool(definition)</c>
 /// </para>
 /// </remarks>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static class FoundryAITool
 {
    /// <summary>
@@ -4,14 +4,12 @@ using System;
 using System.ClientModel;
 using System.ClientModel.Primitives;
 using System.Collections.Generic;
-using System.Diagnostics.CodeAnalysis;
 using System.Threading;
 using System.Threading.Tasks;
 using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects;
 using Microsoft.Extensions.AI;
 using Microsoft.Extensions.Logging;
-using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;

 namespace Microsoft.Agents.AI.Foundry;
@@ -36,7 +34,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <c>AsAIAgent</c> extension methods on <see cref="AIProjectClient"/>.
 /// </para>
 /// </remarks>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public sealed class FoundryAgent : DelegatingAIAgent
 {
    /// <summary>
@@ -261,6 +258,7 @@ public sealed class FoundryAgent : DelegatingAIAgent
            return innerAgent;
        }

+#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
        if (innerAgent.ChatClient.GetService<OpenAIRequestPolicies>() is { } policies)
        {
            OpenAIRequestPoliciesReflection.AddPolicyIfMissing(
@@ -268,6 +266,7 @@ public sealed class FoundryAgent : DelegatingAIAgent
                ClientHeadersPolicy.Instance,
                PipelinePosition.PerCall);
        }
+#pragma warning restore MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.

        return new ClientHeadersAgent(innerAgent);
    }
@@ -2,13 +2,11 @@

 using System;
 using System.Collections.Generic;
-using System.Diagnostics.CodeAnalysis;
 using System.Threading;
 using System.Threading.Tasks;
 using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
-using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 using OpenAI.Files;
 using OpenAI.VectorStores;
@@ -23,7 +21,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <see cref="FoundryChatClient"/> at the agent level so callers do not need to drop down to
 /// <c>agent.GetService&lt;FoundryChatClient&gt;().X()</c> for common workflows.
 /// </summary>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static class FoundryAgentExtensions
 {
    /// <summary>
@@ -4,7 +4,6 @@ using System;
 using System.ClientModel;
 using System.ClientModel.Primitives;
 using System.Collections.Generic;
-using System.Diagnostics.CodeAnalysis;
 using System.IO;
 using System.Runtime.CompilerServices;
 using System.Threading;
@@ -13,7 +12,6 @@ using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
-using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 using OpenAI.Files;
 using OpenAI.Responses;
@@ -53,7 +51,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// behind an Agent Endpoint. It is not synonymous with the Agent Endpoint mode itself.
 /// </para>
 /// </remarks>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public sealed class FoundryChatClient : DelegatingChatClient
 {
    private readonly ChatClientMetadata _metadata;
@@ -652,6 +649,7 @@ public sealed class FoundryChatClient : DelegatingChatClient
    /// <summary>Best-effort registration of <see cref="AgentFrameworkUserAgentPolicy"/> via the MEAI <see cref="OpenAIRequestPolicies"/> hook with at-most-once dedup per pipeline.</summary>
    private static void TryRegisterAgentFrameworkUserAgentPolicy(IChatClient? innerClient)
    {
+#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
        if (innerClient?.GetService<OpenAIRequestPolicies>() is { } policies)
        {
            // OpenAIRequestPoliciesReflection.AddPolicyIfMissing performs a check-then-add against
@@ -663,6 +661,7 @@ public sealed class FoundryChatClient : DelegatingChatClient
                AgentFrameworkUserAgentPolicy.Instance,
                PipelinePosition.PerCall);
        }
+#pragma warning restore MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
    }

    /// <summary>
@@ -675,6 +674,7 @@ public sealed class FoundryChatClient : DelegatingChatClient
    /// </summary>
    private static void TryRegisterServedModelPolicy(IChatClient? innerClient)
    {
+#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
        if (innerClient?.GetService<OpenAIRequestPolicies>() is { } policies)
        {
            OpenAIRequestPoliciesReflection.AddPolicyIfMissing(
@@ -682,6 +682,7 @@ public sealed class FoundryChatClient : DelegatingChatClient
                ServedModelPolicy.Instance,
                PipelinePosition.PerCall);
        }
+#pragma warning restore MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
    }

    /// <summary>Default OAuth scope for the Azure AI resource. Matches the scope used by <c>Azure.AI.Extensions.OpenAI</c>'s internal authentication helper so the bearer token is accepted by the Foundry control plane.</summary>
@@ -1,14 +1,12 @@
 // Copyright (c) Microsoft. All rights reserved.

 using System;
-using System.Diagnostics.CodeAnalysis;
 using System.Threading;
 using System.Threading.Tasks;
 using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
-using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 using OpenAI.Responses;

@@ -34,7 +32,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <item><description><b>Agent Endpoint (Mode 3)</b>: throw — no local definition exists to convert.</description></item>
 /// </list>
 /// </remarks>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 internal static class FoundryPromptAgentConverter
 {
    /// <summary>Performs the conversion for an agent whose chat client and chat options are supplied.</summary>
@@ -3,7 +3,6 @@
 using System;
 using System.Diagnostics.CodeAnalysis;
 using Microsoft.Extensions.AI;
-using Microsoft.Shared.DiagnosticIds;

 namespace Microsoft.Agents.AI.Foundry;

@@ -22,7 +21,6 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <c>FoundryAITool.CreateHostedMcpToolbox(...)</c> factory overloads.
 /// </para>
 /// </remarks>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public sealed class HostedMcpToolboxAITool : HostedMcpServerTool
 {
    /// <summary>
@@ -6,7 +6,6 @@
         related per-agent endpoint surface). Flip back to IsReleased=true once Azure.AI.Projects
         ships a stable 2.1.0. -->
    <InjectSharedThrow>true</InjectSharedThrow>
-    <NoWarn>$(NoWarn);OPENAI001</NoWarn>
  </PropertyGroup>

  <Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
@@ -13,7 +13,6 @@ namespace Azure.AI.Extensions.OpenAI;
 /// Provides extension methods for <see cref="ProjectResponsesClient"/>
 /// to simplify the creation of AI agents that work with Azure AI services.
 /// </summary>
-[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static class ProjectResponsesClientExtensions
 {
    /// <summary>
@@ -27,6 +27,7 @@

  <ItemGroup>
    <ProjectReference Include="..\Microsoft.Agents.AI.Hosting.A2A\Microsoft.Agents.AI.Hosting.A2A.csproj" />
+    <ProjectReference Include="..\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
  </ItemGroup>

  <PropertyGroup>
@@ -28,6 +28,23 @@ public static class A2AServerServiceCollectionExtensions
    /// <param name="agentBuilder">The agent builder whose name identifies the agent.</param>
    /// <param name="configureOptions">An optional callback to configure <see cref="A2AServerRegistrationOptions"/>.</param>
    /// <returns>The <paramref name="agentBuilder"/> for chaining.</returns>
+    /// <remarks>
+    /// <para>
+    /// <strong>Trust model.</strong> The A2A <c>contextId</c> arrives from the wire
+    /// and is treated as a chain-resume identifier — <em>not</em> as an authorization
+    /// token. The <see cref="AgentSessionStore"/> contract carries no principal/owner
+    /// dimension, so when a persistent store is registered any caller who knows or
+    /// guesses another caller's <c>contextId</c> can resume that other caller's
+    /// persisted thread. Hosts that serve more than one user must compose a principal
+    /// dimension into the lookup key — typically by calling
+    /// <c>UseClaimsBasedSessionIsolation(...)</c> from
+    /// <c>Microsoft.Agents.AI.Hosting.AspNetCore</c> (or by registering a custom
+    /// <see cref="SessionIsolationKeyProvider"/>). When no isolation provider is
+    /// registered, behavior is unchanged — the bare <c>contextId</c> is used as the
+    /// conversation identifier, which is appropriate for first-run / single-user /
+    /// prototyping scenarios but unsafe for multi-user hosts.
+    /// </para>
+    /// </remarks>
    public static IHostedAgentBuilder AddA2AServer(this IHostedAgentBuilder agentBuilder, Action<A2AServerRegistrationOptions>? configureOptions = null)
    {
        ArgumentNullException.ThrowIfNull(agentBuilder);
@@ -46,6 +63,13 @@ public static class A2AServerServiceCollectionExtensions
    /// <param name="agentName">The name of the agent to create an A2A server for.</param>
    /// <param name="configureOptions">An optional callback to configure <see cref="A2AServerRegistrationOptions"/>.</param>
    /// <returns>The <paramref name="builder"/> for chaining.</returns>
+    /// <remarks>
+    /// See the trust-model remarks on <see cref="AddA2AServer(IHostedAgentBuilder, Action{A2AServerRegistrationOptions}?)"/>
+    /// for guidance on multi-user hosts (the wire <c>contextId</c> is a chain-resume
+    /// identifier, not an authorization token; multi-user hosts must compose a
+    /// principal dimension via <c>UseClaimsBasedSessionIsolation(...)</c> or a custom
+    /// <see cref="SessionIsolationKeyProvider"/>).
+    /// </remarks>
    public static IHostApplicationBuilder AddA2AServer(this IHostApplicationBuilder builder, string agentName, Action<A2AServerRegistrationOptions>? configureOptions = null)
    {
        ArgumentNullException.ThrowIfNull(builder);
@@ -65,6 +89,13 @@ public static class A2AServerServiceCollectionExtensions
    /// <param name="agent">The agent instance to create an A2A server for.</param>
    /// <param name="configureOptions">An optional callback to configure <see cref="A2AServerRegistrationOptions"/>.</param>
    /// <returns>The <paramref name="builder"/> for chaining.</returns>
+    /// <remarks>
+    /// See the trust-model remarks on <see cref="AddA2AServer(IHostedAgentBuilder, Action{A2AServerRegistrationOptions}?)"/>
+    /// for guidance on multi-user hosts (the wire <c>contextId</c> is a chain-resume
+    /// identifier, not an authorization token; multi-user hosts must compose a
+    /// principal dimension via <c>UseClaimsBasedSessionIsolation(...)</c> or a custom
+    /// <see cref="SessionIsolationKeyProvider"/>).
+    /// </remarks>
    public static IHostApplicationBuilder AddA2AServer(this IHostApplicationBuilder builder, AIAgent agent, Action<A2AServerRegistrationOptions>? configureOptions = null)
    {
        ArgumentNullException.ThrowIfNull(builder);
@@ -83,6 +114,13 @@ public static class A2AServerServiceCollectionExtensions
    /// <param name="agentName">The name of the agent to create an A2A server for.</param>
    /// <param name="configureOptions">An optional callback to configure <see cref="A2AServerRegistrationOptions"/>.</param>
    /// <returns>The <paramref name="services"/> for chaining.</returns>
+    /// <remarks>
+    /// See the trust-model remarks on <see cref="AddA2AServer(IHostedAgentBuilder, Action{A2AServerRegistrationOptions}?)"/>
+    /// for guidance on multi-user hosts (the wire <c>contextId</c> is a chain-resume
+    /// identifier, not an authorization token; multi-user hosts must compose a
+    /// principal dimension via <c>UseClaimsBasedSessionIsolation(...)</c> or a custom
+    /// <see cref="SessionIsolationKeyProvider"/>).
+    /// </remarks>
    public static IServiceCollection AddA2AServer(this IServiceCollection services, string agentName, Action<A2AServerRegistrationOptions>? configureOptions = null)
    {
        ArgumentNullException.ThrowIfNull(services);
@@ -114,6 +152,13 @@ public static class A2AServerServiceCollectionExtensions
    /// <param name="agent">The agent instance to create an A2A server for.</param>
    /// <param name="configureOptions">An optional callback to configure <see cref="A2AServerRegistrationOptions"/>.</param>
    /// <returns>The <paramref name="services"/> for chaining.</returns>
+    /// <remarks>
+    /// See the trust-model remarks on <see cref="AddA2AServer(IHostedAgentBuilder, Action{A2AServerRegistrationOptions}?)"/>
+    /// for guidance on multi-user hosts (the wire <c>contextId</c> is a chain-resume
+    /// identifier, not an authorization token; multi-user hosts must compose a
+    /// principal dimension via <c>UseClaimsBasedSessionIsolation(...)</c> or a custom
+    /// <see cref="SessionIsolationKeyProvider"/>).
+    /// </remarks>
    public static IServiceCollection AddA2AServer(this IServiceCollection services, AIAgent agent, Action<A2AServerRegistrationOptions>? configureOptions = null)
    {
        ArgumentNullException.ThrowIfNull(services);
@@ -140,9 +185,17 @@ public static class A2AServerServiceCollectionExtensions
            var agentSessionStore = serviceProvider.GetKeyedService<AgentSessionStore>(agent.Name);
            var runMode = options?.AgentRunMode ?? AgentRunMode.DisallowBackground;

+            // Ensure that we have an IsolationKeyScopedAgentSessionStore registered.
+            var isolationKeyProvider = serviceProvider.GetService<SessionIsolationKeyProvider>();
+            if (agentSessionStore?.GetService<IsolationKeyScopedAgentSessionStore>() is null)
+            {
+                agentSessionStore ??= new InMemoryAgentSessionStore();
+                agentSessionStore = new IsolationKeyScopedAgentSessionStore(agentSessionStore, isolationKeyProvider, new() { Strict = isolationKeyProvider != null });
+            }
+
            var hostAgent = new AIHostAgent(
                innerAgent: agent,
-                sessionStore: agentSessionStore ?? new InMemoryAgentSessionStore());
+                sessionStore: agentSessionStore);

            agentHandler = new A2AAgentHandler(hostAgent, runMode);
        }
@@ -73,6 +73,26 @@ public static class AGUIEndpointRouteBuilderExtensions
    /// it will be used to persist conversation sessions across requests using the AG-UI thread ID as the
    /// conversation identifier. If no session store is registered, sessions are ephemeral (not persisted).
    /// </para>
+    /// <para>
+    /// <strong>Trust model.</strong> The AG-UI <c>RunAgentInput.ThreadId</c> arrives
+    /// from the wire and is treated as a chain-resume identifier — <em>not</em> as an
+    /// authorization token. The <see cref="AgentSessionStore"/> contract carries no
+    /// principal/owner dimension, so when a persistent store is registered any caller
+    /// who knows or guesses another caller's <c>ThreadId</c> can resume that other
+    /// caller's persisted thread. Hosts that serve more than one user must compose a
+    /// principal dimension into the lookup key. The recommended way is to wrap the
+    /// keyed <see cref="AgentSessionStore"/> in
+    /// <see cref="IsolationKeyScopedAgentSessionStore"/>, typically by calling
+    /// <c>UseClaimsBasedSessionIsolation(...)</c> from
+    /// <c>Microsoft.Agents.AI.Hosting.AspNetCore</c> (or by registering a custom
+    /// <see cref="SessionIsolationKeyProvider"/>) and registering the store via the
+    /// <c>WithSessionStore(...)</c> / <c>WithInMemorySessionStore(...)</c> helpers on
+    /// <see cref="IHostedAgentBuilder"/> so that the wrapper is applied. When no
+    /// isolation provider is registered, behavior is unchanged — the bare
+    /// <c>ThreadId</c> is used as the conversation identifier, which is appropriate
+    /// for first-run / single-user / prototyping scenarios but unsafe for
+    /// multi-user hosts.
+    /// </para>
    /// </remarks>
    public static IEndpointConventionBuilder MapAGUI(
        this IEndpointRouteBuilder endpoints,
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Linq;
+using System.Security.Claims;
+using System.Threading;
+using System.Threading.Tasks;
+using Microsoft.AspNetCore.Http;
+using Microsoft.Shared.Diagnostics;
+
+namespace Microsoft.Agents.AI.Hosting;
+
+/// <summary>
+/// A <see cref="SessionIsolationKeyProvider"/> that extracts the session isolation key from a claim
+/// in the current user's identity, as provided by ASP.NET Core's <see cref="IHttpContextAccessor"/>.
+/// </summary>
+/// <remarks>
+/// <para>
+/// This provider is suitable for ASP.NET Core web applications where session isolation is based on
+/// authenticated user identity. It reads a specified claim type (e.g., name, email, or a custom identifier)
+/// from the ambient <see cref="HttpContext"/>.
+/// </para>
+/// <para>
+/// If the <see cref="HttpContext"/> is unavailable, the user is not authenticated, or the specified claim
+/// is missing, the provider returns <see langword="null"/>. The consuming <see cref="IsolationKeyScopedAgentSessionStore"/>
+/// will then enforce strict or pass-through behavior based on its configuration.
+/// </para>
+/// <para>
+/// This class relies on <see cref="IHttpContextAccessor"/>, which uses <see cref="AsyncLocal{T}"/>
+/// to provide access to the current <see cref="HttpContext"/>.
+/// </para>
+/// </remarks>
+public class ClaimsIdentitySessionIsolationKeyProvider : SessionIsolationKeyProvider
+{
+    private readonly IHttpContextAccessor? _httpContextAccessor;
+    private readonly string _claimType;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="ClaimsIdentitySessionIsolationKeyProvider"/> class.
+    /// </summary>
+    /// <param name="httpContextAccessor">
+    /// The <see cref="IHttpContextAccessor"/> used to retrieve the current HTTP context and user claims.
+    /// </param>
+    /// <param name="options">The options for configuring the provider. If null, defaults are used.</param>
+    /// <exception cref="ArgumentException">
+    /// <see cref="ClaimsIdentitySessionIsolationKeyProviderOptions.ClaimType"/> is null, empty, or whitespace.
+    /// </exception>
+    public ClaimsIdentitySessionIsolationKeyProvider(
+        IHttpContextAccessor? httpContextAccessor,
+        ClaimsIdentitySessionIsolationKeyProviderOptions? options = null)
+    {
+        options ??= new ClaimsIdentitySessionIsolationKeyProviderOptions();
+        this._httpContextAccessor = httpContextAccessor;
+        this._claimType = Throw.IfNullOrWhitespace(options.ClaimType);
+    }
+
+    /// <summary>
+    /// Extracts the session isolation key from the current user's claims.
+    /// </summary>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.</param>
+    /// <returns>
+    /// A task that represents the asynchronous operation. The task result contains the value of the
+    /// configured claim type from the current user's identity, or <see langword="null"/> if the claim
+    /// is not present or the HTTP context is unavailable.
+    /// </returns>
+    /// <remarks>
+    /// This method retrieves the claim value from <c>HttpContext.User.Claims</c>. If multiple claims
+    /// of the specified type exist, the first match is returned.
+    /// </remarks>
+    public override ValueTask<string?> GetSessionIsolationKeyAsync(CancellationToken cancellationToken = default)
+    {
+        Claim? claim = this._httpContextAccessor?
+                           .HttpContext?
+                           .User?.Claims.FirstOrDefault(c => c.Type == this._claimType);
+
+        return new ValueTask<string?>(claim?.Value);
+    }
+}
@@ -0,0 +1,30 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Security.Claims;
+
+namespace Microsoft.Agents.AI.Hosting;
+
+/// <summary>
+/// Options for configuring <see cref="ClaimsIdentitySessionIsolationKeyProvider"/>.
+/// </summary>
+public class ClaimsIdentitySessionIsolationKeyProviderOptions
+{
+    /// <summary>
+    /// Gets or sets the claim type to extract from the user's identity for session isolation.
+    /// </summary>
+    /// <remarks>
+    /// <para>
+    /// Defaults to <see cref="ClaimsIdentity.DefaultNameClaimType"/>, which typically corresponds to
+    /// the user's name or unique identifier claim.
+    /// </para>
+    /// <para>
+    /// Common alternatives include:
+    /// <list type="bullet">
+    /// <item><description><c>ClaimTypes.NameIdentifier</c> — Stable user identifier</description></item>
+    /// <item><description><c>ClaimTypes.Email</c> — Email address</description></item>
+    /// <item><description>Custom claim types specific to your authentication provider</description></item>
+    /// </list>
+    /// </para>
+    /// </remarks>
+    public string ClaimType { get; set; } = ClaimsIdentity.DefaultNameClaimType;
+}
@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFrameworks>$(TargetFrameworksCore)</TargetFrameworks>
+    <RootNamespace>Microsoft.Agents.AI.Hosting.AspNetCore</RootNamespace>
+    <VersionSuffix>preview</VersionSuffix>
+    <NoWarn>$(NoWarn)</NoWarn>
+  </PropertyGroup>
+
+  <Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
+
+  <PropertyGroup>
+    <InjectSharedThrow>true</InjectSharedThrow>
+    <InjectSharedDiagnosticIds>true</InjectSharedDiagnosticIds>
+    <InjectExperimentalAttributeOnLegacy>true</InjectExperimentalAttributeOnLegacy>
+  </PropertyGroup>
+  
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+  <ItemGroup>
+    <ProjectReference Include="..\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
+  </ItemGroup>
+
+  <PropertyGroup>
+    <!-- NuGet Package Settings -->
+    <Title>Microsoft Agent Framework Hosting ASP.NET Core</Title>
+    <Description>Provides Microsoft Agent Framework support for hosting agents in an ASP.NET Core context.</Description>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,42 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using Microsoft.AspNetCore.Http;
+using Microsoft.Extensions.DependencyInjection;
+
+namespace Microsoft.Agents.AI.Hosting;
+
+/// <summary>
+/// Extension methods for configuring AI hosting services in an <see cref="IServiceCollection"/>.
+/// </summary>
+public static class ServiceCollectionExtensions
+{
+    /// <summary>
+    /// Registers a <see cref="SessionIsolationKeyProvider"/> that uses claims from the current user's identity
+    /// to generate session isolation keys.
+    /// </summary>
+    /// <param name="services">The <see cref="IServiceCollection"/> to add services to.</param>
+    /// <param name="options"> Optional configuration for the claims-based session isolation key provider.</param>
+    /// <returns>The <see cref="IServiceCollection"/> so that additional calls can be chained.</returns>
+    /// <remarks>
+    /// This method requires <see cref="IHttpContextAccessor"/> to be registered in the service collection.
+    /// Ensure that <c>services.AddHttpContextAccessor()</c> has been called before using this method.
+    /// </remarks>
+    public static IServiceCollection UseClaimsBasedSessionIsolation(
+        this IServiceCollection services,
+        ClaimsIdentitySessionIsolationKeyProviderOptions? options = null)
+    {
+        options ??= new();
+        ServiceDescriptor descriptor = new(typeof(SessionIsolationKeyProvider), CreateIsolationKeyProvider, ServiceLifetime.Singleton);
+        services.Add(descriptor);
+
+        return services;
+
+        object CreateIsolationKeyProvider(IServiceProvider serviceProvider)
+        {
+            IHttpContextAccessor contextAccessor = serviceProvider.GetRequiredService<IHttpContextAccessor>();
+
+            return new ClaimsIdentitySessionIsolationKeyProvider(contextAccessor, options);
+        }
+    }
+}
--- a/Show More
+++ b/Show More