Python: add agent-framework-hosting-mcp channel (#6305)

* feat(python): add agent-framework-hosting-mcp channel

Add a hosting channel that exposes the host target (agent or workflow)
as a single Model Context Protocol tool over Streamable HTTP. The tool
invocation routes through the host pipeline (ChannelContext.run/
run_stream) so sessions, linking, and run/response hooks apply. Maps the
MCP request context to a ChannelSession isolation key and ChannelIdentity,
and forwards streaming output as MCP progress notifications.

Includes tests, README, and workspace registration.

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

* Address MCP hosting channel review feedback

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

---------

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

.devcontainer/devcontainer.json

@@ -1,19 +1,15 @@
 {
   "name": "Python 3",
-  "image": "mcr.microsoft.com/devcontainers/python:3.14-bookworm",
+  "image": "mcr.microsoft.com/devcontainers/python:3.13-bullseye",
   "features": {
     "ghcr.io/va-h/devcontainers-features/uv:1": {},
-    "ghcr.io/devcontainers/features/docker-in-docker:3": {},
-    "ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
-    "ghcr.io/devcontainers/features/copilot-cli:1": {}
+    "ghcr.io/devcontainers/features/azure-cli:1.2.8": {}
   },
   "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"

.github/.linkspector.yml

@@ -8,7 +8,7 @@ ignorePatterns:
   - pattern: "./blob"
   - pattern: "./issues"
   - pattern: "./discussions"
-  - pattern: "./pull"
+  - pattern: "./pulls"
   - pattern: "https:\/\/platform.openai.com"
   - pattern: "http:\/\/localhost"
   - pattern: "http:\/\/127.0.0.1"

.github/actions/free-runner-disk-space/action.yml

@@ -1,64 +0,0 @@
-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

.github/scripts/pr_limit_moderation.js

@@ -1,181 +0,0 @@
-// 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,
-    authorType: pullRequest.user.type,
-    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 isDependabotAuthor({ author, authorType }) {
-  return authorType === 'Bot' && author.toLowerCase() === 'dependabot[bot]';
-}
-
-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 openPullRequests = await github.paginate(github.rest.pulls.list, {
-    owner,
-    repo,
-    state: 'open',
-    per_page: 100,
-  });
-
-  const authorOpenPullRequestNumbers = openPullRequests
-    .filter((pullRequest) => pullRequest.user?.login === author)
-    .map((pullRequest) => pullRequest.number);
-  const currentPrIsOpen = authorOpenPullRequestNumbers.includes(pullRequestNumber);
-  const existingOpenPrCount = currentPrIsOpen
-    ? authorOpenPullRequestNumbers.length - 1
-    : authorOpenPullRequestNumbers.length;
-
-  return existingOpenPrCount + 1;
-}
-
-async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
-  const { owner, repo } = context.repo;
-  const { author, authorType, labels, number } = getPullRequest(context);
-
-  if (isDependabotAuthor({ author, authorType })) {
-    core.info(`Author ${author} is Dependabot; skipping open PR limit enforcement.`);
-    return {
-      author,
-      closed: false,
-      dependabotExempt: true,
-      openPrCount: null,
-    };
-  }
-
-  if (hasLabel(labels, exemptLabelName)) {
-    core.info(`PR #${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,
-};

.github/tests/test_pr_limit_moderation.js

@@ -1,341 +0,0 @@
-// 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', authorType = 'User', labels = [], number = 123 } = {}) {
-  return {
-    repo: {
-      owner: 'microsoft',
-      repo: 'agent-framework',
-    },
-    payload: {
-      pull_request: {
-        number,
-        labels: labels.map((name) => ({ name })),
-        user: {
-          login: author,
-          type: authorType,
-        },
-      },
-    },
-  };
-}
-
-function createCore() {
-  const messages = [];
-  return {
-    messages,
-    info(message) {
-      messages.push(message);
-    },
-  };
-}
-
-function createGithub({
-  itemNumbers,
-  labelExists = true,
-  pullRequests = createPullRequestPage({ numbers: itemNumbers }),
-}) {
-  const calls = [];
-
-  return {
-    calls,
-    async paginate(method, params) {
-      calls.push({ api: 'paginate', method, params });
-      return pullRequests;
-    },
-    rest: {
-      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 list(params) {
-          calls.push({ api: 'pulls.list', params });
-          return { data: pullRequests };
-        },
-        async update(params) {
-          calls.push({ api: 'pulls.update', params });
-          return { data: { state: params.state } };
-        },
-      },
-    },
-  };
-}
-
-function createPullRequestPage({ author = 'community-user', numbers }) {
-  return numbers.map((number) => ({
-    number,
-    user: {
-      login: author,
-    },
-  }));
-}
-
-
-// ---------------------------------------------------------------------------
-// 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({
-      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),
-      ['paginate'],
-    );
-  });
-
-  it('counts the new PR when the pull list includes it', async () => {
-    const github = createGithub({
-      itemNumbers: [123, 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),
-      [
-        'paginate',
-        'issues.getLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-  });
-
-  it('counts the current PR on top of existing open PRs', async () => {
-    const github = createGithub({
-      itemNumbers: [123, ...Array.from({ length: 24 }, (_, index) => index + 1)],
-      pullRequests: createPullRequestPage({
-        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
-      }),
-    });
-
-    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, 26);
-    const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
-    assert.match(comment, /This PR would put you at 26 open pull requests/);
-  });
-
-  it('creates the label when it does not already exist', async () => {
-    const github = createGithub({
-      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),
-      [
-        'paginate',
-        '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({
-      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),
-      [
-        'paginate',
-        'issues.getLabel',
-        'issues.createLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-  });
-
-  it('uses a diplomatic close message with the configured limit', async () => {
-    const github = createGithub({
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      pullRequests: createPullRequestPage({
-        author: 'octo-contributor',
-        numbers: [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({
-      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 close Dependabot PRs', async () => {
-    const github = createGithub({
-      itemNumbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
-      pullRequests: createPullRequestPage({
-        author: 'dependabot[bot]',
-        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
-      }),
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext({ author: 'dependabot[bot]', authorType: 'Bot' }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, false);
-    assert.equal(result.dependabotExempt, true);
-    assert.equal(result.openPrCount, null);
-    assert.deepEqual(github.calls, []);
-  });
-
-  it('counts the current PR when the author has more than one page of open PRs', async () => {
-    const github = createGithub({
-      itemNumbers: [123, ...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);
-  });
-});

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

@@ -121,9 +121,6 @@ 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:
@@ -194,9 +191,6 @@ 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)) }}
@@ -371,9 +365,6 @@ 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:
@@ -461,9 +452,6 @@ 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:

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

@@ -1,83 +0,0 @@
-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,
-            });

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

@@ -23,14 +23,6 @@ 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

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

@@ -8,7 +8,6 @@ on:
 
 permissions:
   contents: read
-  actions: read
   pull-requests: write
 
 jobs:
@@ -24,7 +23,7 @@ jobs:
       - name: Download coverage report
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
         with:
-          github-token: ${{ github.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           run-id: ${{ github.event.workflow_run.id }}
           path: ./python
           merge-multiple: true
@@ -39,9 +38,9 @@ jobs:
             echo "PR number file 'pr_number' is missing or empty"
             exit 1
           fi
-          PR_NUMBER=$(cat pr_number)
-          if ! [[ "$PR_NUMBER" =~ ^[0-9]+$ ]]; then
-            echo "::error::PR number file contains invalid content"
+          PR_NUMBER=$(head -1 pr_number | tr -dc '0-9')
+          if [ -z "$PR_NUMBER" ]; then
+            echo "PR number file 'pr_number' does not contain a valid PR number"
             exit 1
           fi
           echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
@@ -49,7 +48,7 @@ jobs:
         id: coverageComment
         uses: MishaKav/pytest-coverage-comment@26f986d2599c288bb62f623d29c2da98609e9cd4 # v1.6.0
         with:
-          github-token: ${{ github.token }}
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           issue-number: ${{ env.PR_NUMBER }}
           pytest-xml-coverage-path: python/python-coverage.xml
           title: "Python Test Coverage Report"

.gitignore

@@ -248,4 +248,3 @@ dotnet/filtered-*.slnx
 .omx/
 
 **/issues/
-.test_*

SUPPORT.md

@@ -1,17 +1,17 @@
-# Support
-
-## How to file issues and get help  
-
-This project uses GitHub Issues to track bugs and feature requests. Please search the existing 
-issues before filing new issues to avoid duplicates.  For new issues, file your bug or 
-feature request as a new Issue.
-
-For help and questions about using this project, please create a GitHub issue.
-
-AI Support team will support Microsoft Agent Framework issues for customers under a **Unified support agreement when the issue arises from usage of Azure AI services** (Foundry Models, Foundry Agents etc.) in conjunction with the SDK. Conversely, if customer has any other / non unified support agreement and/or Agent Framework SDK is used in a way **not involving an Azure service**, it is treated as a purely open-source tool – Microsoft’s support organization will not handle it, and users should use GitHub or forums for assistance
-
-For Copilot Studio SDK implementation issues, customers should use GitHub Issues for assistance, as outlined above. Conversely, for prerequisites managed within the Copilot Studio portal, customers can rely on the standard Microsoft Copilot Studio support channels.
-
-## Microsoft Support Policy  
-
-Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
+# Support
+
+## How to file issues and get help  
+
+This project uses GitHub Issues to track bugs and feature requests. Please search the existing 
+issues before filing new issues to avoid duplicates.  For new issues, file your bug or 
+feature request as a new Issue.
+
+For help and questions about using this project, please create a GitHub issue.
+
+AI Support team will support Microsoft Agent Framework issues for customers under a **Unified support agreement when the issue arises from usage of Azure AI services** (Foundry Models, Foundry Agents etc.) in conjunction with the SDK. Conversely, if customer has any other / non unified support agreement and/or Agent Framework SDK is used in a way **not involving an Azure service**, it is treated as a purely open-source tool – Microsoft’s support organization will not handle it, and users should use GitHub or forums for assistance
+
+For Copilot Studio SDK implementation issues, customers should use GitHub Issues for assistance, as outlined above. Conversely, for prerequisites managed within the Copilot Studio portal, customers can rely on the standard Microsoft Copilot Studio support channels.
+
+## Microsoft Support Policy  
+
+Support for this **PROJECT or PRODUCT** is limited to the resources listed above.

docs/decisions/0027-hosting-channels.md

@@ -0,0 +1,145 @@
+---
+status: proposed
+contact: eavanvalkenburg
+date: 2026-06-11
+deciders: eavanvalkenburg
+---
+
+# Python minimal hosting core and pluggable channels
+
+## Context and Problem Statement
+
+Agent Framework has several protocol-specific hosting surfaces. App authors who want one agent or workflow on multiple protocols must compose servers, routes, middleware, session handling, and lifecycle code by hand.
+
+We will introduce a small Python hosting core that owns the common server shape and leaves protocol details inside channel packages. The first public contract must be intentionally narrow so Python can ship a base contract before adding identity linking, proactive delivery, or multicast behavior. Other language implementations may reuse the same conceptual boundary, but this ADR records the Python decision.
+
+## Decision Drivers
+
+- Keep the first host easy to explain: one app, one hostable target, one or more channels.
+- Reuse Agent Framework's existing agent, workflow, session, history, and checkpoint primitives.
+- Let channel packages own protocol parsing, protocol responses, authentication details, and native command surfaces.
+- Make session continuity explicit through a channel-supplied `ChannelSession(isolation_key=...)`.
+- Avoid approving cross-channel identity and delivery semantics before their safety model is reviewed.
+
+## Considered Options
+
+1. Keep only protocol-specific hosts.
+2. Ship a large hosting core with identity linking, authorization, background delivery, active-channel routing, and multicast in v1.
+3. Ship a minimal host/channel core now and track linking/multicast as follow-up work.
+
+### Keep only protocol-specific hosts
+
+- Good: no new abstraction or package surface.
+- Neutral: each protocol can continue evolving independently.
+- Bad: every multi-channel app still has to compose servers, lifecycle, and session handling by hand.
+
+### Ship the large cross-channel host in v1
+
+- Good: the richest cross-channel scenarios are available immediately.
+- Neutral: the host becomes the natural place to demonstrate identity and delivery policy.
+- Bad: v1 becomes a security-sensitive identity and delivery system before the safety model is reviewed.
+
+### Ship the minimal core now
+
+- Good: the host/channel boundary can be implemented, tested, and explained without solving linking and durable delivery at the same time.
+- Neutral: apps that need richer behavior must build it locally or wait for ADR-0028 follow-up work.
+- Bad: proactive delivery and multicast scenarios are deliberately absent from v1.
+
+## Decision Outcome
+
+Chosen option: **minimal host/channel core now, follow-up enhancements later**.
+
+`AgentFrameworkHost` owns:
+
+- one application object,
+- one hostable target (`SupportsAgentRun` agent-compatible object or a `Workflow`), and
+- one or more channels.
+
+Channels own:
+
+- contributed routes, middleware, commands, and lifecycle callbacks,
+- protocol-native request parsing into `ChannelRequest`,
+- protocol-native rendering of the originating response, and
+- any channel-specific authentication or signature validation.
+
+The host owns:
+
+- route/lifecycle aggregation,
+- invocation of the target,
+- `ChannelSession(isolation_key=...)` to `AgentSession` resolution and caching,
+- `reset_session(isolation_key=...)`,
+- host-level middleware, including Foundry isolation middleware only when the Foundry hosting environment flag is present,
+- invocation of per-channel hooks (`ChannelRunHook`, `ChannelResponseHook`, `ChannelStreamUpdateHook`), and
+- workflow checkpoint wiring through an explicit `checkpoint_location`.
+
+`ChannelIdentity`, when present, is request metadata only. In v1 it is not a linking, authorization, or delivery key.
+
+### Trust boundary for `isolation_key`
+
+The host treats `ChannelSession.isolation_key` as a session partition key, not as proof of identity. Channels or host middleware must authenticate and authorize any externally supplied value before passing it to the host. For example, a Responses caller must not be allowed to choose an arbitrary `previous_response_id` or header-derived key unless the platform or middleware has already established that the caller owns that conversation. The host deliberately does not infer that trust from the string itself.
+
+### Hook ownership
+
+Channels provide hook configuration and protocol-native context. The host invokes those hooks as part of the common invocation pipeline:
+
+- `ChannelRunHook` runs after channel parsing and before target invocation.
+- `ChannelResponseHook` runs after target invocation and before the originating channel serializes its response.
+- `ChannelStreamUpdateHook` is applied by the host while the channel consumes streamed updates because streaming serialization is protocol-specific.
+
+`ChannelStreamUpdateHook` is an update hook, not a final-response sanitizer. Channels that use it for redaction or filtering must also apply equivalent policy to any final response they render. Channels choose whether the response is streaming before run hooks execute.
+
+This keeps hook call conventions centralized while leaving protocol payload parsing and response formatting in channel packages.
+
+### State owned by v1
+
+`state_dir` is limited to host-owned local files for reset-session aliases and workflow checkpoint path derivation. It does not store linked identities, active-channel state, response-routing state, continuation records, durable runner queues, or delivery attempts. Those storage concerns belong to ADR-0028.
+
+## Non-goals for v1
+
+The following are deliberately **not** part of the v1 contract:
+
+- cross-channel identity linking (`IdentityLinker`, `local_identity_link`, or `agent-framework-hosting-entra`),
+- identity allowlists or authorization policy (`IdentityAllowlist`, `AuthPolicy`),
+- response routing beyond the originating channel (`ResponseTarget`, active channel, specific linked channel, `all_linked`),
+- push or payload codecs (`ChannelPush`, `ChannelPushCodec`),
+- background/continuation delivery,
+- durable task runners (`DurableTaskRunner`, `InProcessTaskRunner`),
+- retry/replay policy (`RetryPolicy`),
+- fan-out, multicast, or all-linked delivery,
+- confidentiality tiers and `LinkPolicy`, and
+- a host-level multi-agent router.
+
+These areas are follow-up enhancements covered by [ADR-0028](0028-hosting-linking-multicast-enhancements.md). They are not prerequisites for shipping or using the v1 host.
+
+## Consequences
+
+Positive:
+
+- The host/channel model can be implemented and tested without designing a security-sensitive identity graph.
+- Existing and new channel packages can share one Starlette app, middleware stack, lifecycle, and target invocation path.
+- Session continuity is explicit and debuggable: two channels share history only when they produce the same `isolation_key`.
+- Hook invocation is centralized in the host, so channels do not each invent the call convention.
+
+Negative:
+
+- Apps that need OAuth linking, allowlists, proactive messages, or multicast must continue to implement those behaviors outside the v1 host.
+- Some richer cross-channel scenarios from the original design move to a separate decision and validation cycle.
+- The host must document `isolation_key` trust clearly because it now provides the shared session boundary.
+
+## Validation Gates
+
+Before this ADR is accepted:
+
+- A sample can expose one target on multiple channels with one `AgentFrameworkHost` and no handwritten Starlette route composition.
+- Built-in channel tests prove that routes, commands, startup, and shutdown callbacks are contributed by channels and aggregated by the host.
+- Session tests prove that identical `ChannelSession.isolation_key` values resolve to the same cached `AgentSession`, and `reset_session` rotates that mapping.
+- Channel tests prove that each channel renders only its own originating response; there is no host-level push, multicast, or active-channel delivery path.
+- Workflow tests or samples use an explicit `checkpoint_location`.
+- Foundry isolation middleware is documented and covered by integration or contract tests, including the non-Foundry case where raw isolation headers are ignored.
+- The v1 API and packages do not expose the removed symbols or packages listed in [Non-goals for v1](#non-goals-for-v1).
+- The Python spec is updated to match this simplified contract and uses "public", "stable", or "released" terminology for Agent Framework APIs.
+
+## More Information
+
+- Python v1 specification: [SPEC-002](../specs/002-python-hosting-channels.md)
+- Follow-up linking and multicast ADR: [ADR-0028](0028-hosting-linking-multicast-enhancements.md)

docs/decisions/0028-hosting-linking-multicast-enhancements.md

@@ -0,0 +1,132 @@
+---
+status: proposed
+contact: eavanvalkenburg
+date: 2026-06-11
+deciders: eavanvalkenburg
+---
+
+# Hosting linking and multicast enhancements
+
+## Context and Problem Statement
+
+[ADR-0027](0027-hosting-channels.md) defines the minimal v1 hosting core: originating-channel responses, explicit `ChannelSession.isolation_key`, and no host-level identity linking, push, multicast, background delivery, or durable runners.
+
+This ADR tracks the richer cross-channel behaviors that were removed from v1. These enhancements are **follow-up work** and are **not prerequisites** for shipping, using, or stabilizing the v1 host/channel core.
+
+## Decision Drivers
+
+- Cross-channel continuity must not create accidental cross-user, cross-tenant, or cross-channel data leaks.
+- Non-originating delivery must be observable, idempotent, retryable, and supportable.
+- Protocol payloads must remain channel-native while still being safe to persist and replay.
+- App authors need opt-in policy controls, not hidden defaults.
+- The enhancement stack should layer on top of the v1 host without reshaping the minimal channel contract.
+
+## Enhancement Areas
+
+The follow-up design should cover these capabilities together because they share identity, storage, delivery, and replay concerns:
+
+- **Cross-channel identity linking** — a user can connect multiple `ChannelIdentity` values to one channel-neutral `isolation_key`.
+- **Authorization and allowlist policy** — channels or hosts can require verified identity, allow specific native identities or claims, and deny unknown callers.
+- **Non-originating response delivery** — a run can respond somewhere other than the request's originating protocol when explicitly configured.
+- **Active-channel routing** — delivery can target the most recently observed linked channel for an `isolation_key`.
+- **Multicast / all-linked delivery** — delivery can fan out to every linked channel or a selected set.
+- **Background runs and continuation tokens** — long-running requests can return immediately and complete later, with a polling/status fallback.
+- **Durable delivery runners** — delivery work can survive process restarts and support dead-letter handling.
+- **Retry and replay semantics** — delivery attempts are bounded, deduplicated, and safe to replay.
+- **Payload serialization** — channel-specific payloads can be persisted, redacted, versioned, and reconstructed without losing protocol fidelity.
+
+Candidate API names from the broader design (`IdentityLinker`, `IdentityAllowlist`, `AuthPolicy`, `ResponseTarget`, `ChannelPush`, `ChannelPushCodec`, `DurableTaskRunner`, `InProcessTaskRunner`, `RetryPolicy`, `LinkPolicy`) remain design vocabulary for this ADR. They are not approved v1 APIs.
+
+## Considered Options
+
+### Option A — Leave all behavior to applications
+
+Applications implement linking, authorization, push, retry, and serialization independently.
+
+- Good: the hosting core stays very small.
+- Neutral: advanced apps can still build what they need.
+- Bad: every app must solve the same security and delivery problems, likely inconsistently.
+
+### Option B — Add the full enhancement stack to v1
+
+The first host release includes linking, authorization, active channel, multicast, background runs, durable runners, and codecs.
+
+- Good: the original cross-channel experience is available immediately.
+- Neutral: samples can demonstrate rich end-to-end flows.
+- Bad: v1 becomes security-sensitive, storage-heavy, and harder to stabilize.
+
+### Option C — Layer opt-in enhancement packages after v1
+
+Ship the minimal host first, then add linking, authorization, and delivery packages behind explicit configuration.
+
+- Good: v1 remains simple while leaving room for a reviewed, supportable enhancement stack.
+- Neutral: apps that need advanced delivery wait for follow-up packages.
+- Bad: the first release does not satisfy proactive or all-linked scenarios.
+
+### Option D — Build only platform-specific integrations
+
+Implement linking and proactive delivery separately in Telegram, Activity Protocol, Discord, and future channels.
+
+- Good: each package can match its protocol exactly.
+- Neutral: some shared abstractions may emerge later.
+- Bad: cross-channel behavior becomes fragmented and hard to reason about.
+
+## Decision Outcome
+
+Proposed direction: **Option C — layered opt-in enhancement packages after v1**.
+
+The minimal host remains the foundation. Follow-up packages may add linking, authorization, delivery, and durable execution, but must be explicitly enabled and must pass the validation gates below before becoming part of the public contract.
+
+## Safety Requirements
+
+### Threat model
+
+The design must account for:
+
+- spoofed channel-native identities,
+- stolen or replayed link challenges,
+- cross-tenant or cross-confidentiality data leakage,
+- unsolicited proactive messages,
+- malicious payloads persisted for replay,
+- denial-of-service through fan-out or retry storms, and
+- privacy leakage through logs, metrics, or support tooling.
+
+Required mitigations include verified identity claims where available, signed and expiring link challenges, explicit user consent, per-channel capability checks, default-deny policy options, tenant partitioning, and uninformative denial messages on shared channels.
+
+### Idempotency and replay
+
+Exactly-once delivery is not a realistic guarantee. The design must provide:
+
+- stable run, continuation, and delivery-attempt identifiers,
+- channel-level idempotency keys where protocols support them,
+- bounded retry with jitter and explicit terminal states,
+- replay windows and expiration,
+- duplicate suppression for persisted attempts, and
+- clear semantics for "delivered", "accepted by platform", and "observed by user".
+
+### Storage
+
+Enhancement storage must stay distinct from v1 `AgentSession` history and workflow checkpoints unless an implementation deliberately backs them with the same physical store.
+
+Stored data should be schema-versioned, minimized, encrypted or otherwise protected as appropriate, and partitioned by tenant/project. Link records, continuation records, active-channel state, delivery attempts, dead letters, and serialized payloads need independent TTL and deletion policies.
+
+### Observability and support
+
+The design must include structured logs, traces, and metrics for link attempts, authorization decisions, delivery scheduling, retries, replay, and dead-letter outcomes. Logs must avoid message content and sensitive identity claims by default. Operators need a way to inspect, revoke, replay, or purge stuck records safely.
+
+## Validation Gates
+
+Before these enhancements are accepted:
+
+- A reviewed threat model covers identity linking, authorization, non-originating delivery, multicast, and replay.
+- Cross-channel linking tests prove a verified identity can link two channels and that unlink/deny paths do not leak information.
+- Authorization tests cover native-id allowlists, verified-claim allowlists, default-deny behavior, and misconfiguration failures.
+- Delivery tests cover originating-only, specific-channel, active-channel, selected-channel, and all-linked routing.
+- Background/continuation tests cover polling fallback, cancellation or expiration, process restart, retry, and dead-letter behavior.
+- Codec tests prove payloads are versioned, redacted where needed, backward compatible, and rejected safely when unknown.
+- Multicast tests prove fan-out is bounded, independently retried, and idempotent per destination.
+- Observability tests or manual validation prove support operators can correlate a request to delivery attempts without exposing sensitive content.
+
+## Relationship to ADR-0027
+
+ADR-0027 remains valid without any of these enhancements. This ADR extends the hosting model only after the safety, storage, and support requirements above are satisfied.

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

@@ -0,0 +1,320 @@
+---
+status: proposed
+contact: eavanvalkenburg
+date: 2026-06-11
+deciders: eavanvalkenburg
+---
+
+# Python hosting core and pluggable channels
+
+## Scope
+
+This specification is the Python implementation plan for [ADR-0027](../decisions/0027-hosting-channels.md). It documents the simplified v1 host/channel contract only.
+
+The v1 contract is:
+
+- `AgentFrameworkHost` owns one Starlette app, one hostable target, and one or more channels.
+- A hostable target is either a `SupportsAgentRun`-compatible agent or a `Workflow`.
+- Channels contribute routes, middleware, commands, and lifecycle callbacks.
+- Channels parse protocol-native input into `ChannelRequest`.
+- Channels render their own originating response.
+- Session continuity is explicit: a channel supplies `ChannelSession(isolation_key=...)`, and the host resolves/caches an `AgentSession` for that key.
+- The host invokes `ChannelRunHook` and `ChannelResponseHook`; channels provide hook configuration and protocol context.
+
+The host does not link identities, route responses to other channels, run background continuations, or multicast in v1. Those enhancements are tracked in [ADR-0028](../decisions/0028-hosting-linking-multicast-enhancements.md).
+
+## Goals
+
+- Let an app expose one agent or workflow on multiple protocols without handwritten Starlette composition.
+- Keep protocol parsing and response formatting inside channel packages.
+- Provide one session-resolution path shared by all channels.
+- Keep the channel authoring surface small enough for new channels to implement.
+- Preserve full-fidelity agent and workflow results until a channel decides how to render them.
+
+## Non-goals for v1
+
+The following are removed from the v1 implementation pass:
+
+- `IdentityLinker`, `IdentityAllowlist`, `AuthPolicy`, and `LinkPolicy`
+- `ResponseTarget`, active-channel routing, `all_linked`, fan-out, and multicast
+- `ChannelPush` and `ChannelPushCodec`
+- `DurableTaskRunner`, `InProcessTaskRunner`, and `RetryPolicy`
+- continuation tokens and background delivery
+- confidentiality tiers
+- `agent-framework-hosting-entra`
+- `local_identity_link`
+
+These are follow-up design topics, not hidden requirements of the v1 host.
+
+## Packages
+
+| Package | Import surface | Contents |
+|---|---|---|
+| `agent-framework-hosting` | `agent_framework_hosting` | `AgentFrameworkHost`, channel protocols, key request/result types, hooks, `reset_session`, state-path helpers. |
+| `agent-framework-hosting-responses` | `agent_framework_hosting_responses` | `ResponsesChannel`. |
+| `agent-framework-hosting-invocations` | `agent_framework_hosting_invocations` | `InvocationsChannel`. |
+| `agent-framework-hosting-telegram` | `agent_framework_hosting_telegram` | `TelegramChannel` and Telegram command helpers. |
+| `agent-framework-hosting-activity-protocol` | `agent_framework_hosting_activity_protocol` | `ActivityProtocolChannel` for Activity Protocol over Azure Bot Service. |
+| `agent-framework-hosting-discord` | `agent_framework_hosting_discord` | `DiscordChannel` and Discord command/interaction helpers. |
+| `agent-framework-foundry-hosting` | `agent_framework.foundry_hosting` | Foundry isolation middleware and Foundry-backed hosting helpers usable with the v1 host. |
+
+Channel packages may depend on their native SDKs. The core hosting package should not depend on channel SDKs or on top-level legacy protocol hosts.
+
+## Key Types
+
+### `AgentFrameworkHost`
+
+The host constructor accepts:
+
+- `target`: one `SupportsAgentRun`-compatible object or one `Workflow`
+- `channels`: one or more `Channel` instances
+- optional Starlette middleware
+- optional `state_dir`
+- optional workflow `checkpoint_location`
+
+The host exposes:
+
+- `app`: the canonical Starlette ASGI application
+- `serve(...)`: a convenience wrapper for local serving
+- `reset_session(isolation_key: str)`: rotate the cached `AgentSession` for a host-tracked conversation
+
+`state_dir` is narrowed to v1 host-owned local files only:
+
+- session aliases (`isolation_key` to current `AgentSession` id), and
+- workflow checkpoint paths when the app chooses the host-provided file layout.
+
+It is not a store for identity links, continuations, active-channel state, delivery attempts, or multicast payloads.
+
+Externally supplied isolation keys are trusted only after the channel or host middleware has authenticated and authorized the caller. The host uses `isolation_key` as a partition key; the string itself is not proof of identity or ownership.
+
+### `Channel`
+
+A channel implements a small protocol:
+
+- declare a stable channel id/name,
+- contribute routes, middleware, commands, and lifecycle callbacks,
+- parse inbound protocol data into `ChannelRequest`,
+- call the host through `ChannelContext.run(...)` or `ChannelContext.run_stream(...)`, and
+- serialize the returned result to the originating protocol response.
+
+Channels own protocol authentication, signature validation, native command registration, and protocol-specific error bodies.
+
+### `ChannelContribution`
+
+`ChannelContribution` is the channel's host-facing contribution:
+
+- Starlette routes and optional middleware,
+- native command descriptors,
+- startup and shutdown callbacks, and
+- any channel-local metadata needed by the package.
+
+The host aggregates contributions but does not interpret protocol payloads.
+
+### `ChannelRequest`
+
+`ChannelRequest` is the host-neutral request envelope produced by a channel. It carries:
+
+- target input,
+- optional `ChannelSession`,
+- optional `ChannelIdentity`,
+- options and attributes produced by the channel, and
+- request metadata useful to hooks and context providers.
+
+The host may pass attributes through to context providers and middleware. Channels should treat attributes as a documented extension bag, not as a cross-channel delivery contract.
+
+### `ChannelSession`
+
+`ChannelSession(isolation_key=...)` is the only v1 session-continuity mechanism.
+
+When a request contains an isolation key:
+
+1. The host looks up or creates the cached `AgentSession` for that key.
+2. The target runs with that `AgentSession` when the target is an agent.
+3. `reset_session(isolation_key)` rotates the alias so the next request starts a new conversation.
+
+If two channels produce the same isolation key on the same host, they share the same cached session. If they produce different keys, they do not share session state.
+
+### `ChannelIdentity`
+
+`ChannelIdentity` is optional request metadata such as channel id, native user id, tenant id, claims, or display attributes.
+
+In v1, `ChannelIdentity` does not link channels, authorize callers, select delivery destinations, or imply that two identities should share an `AgentSession`. A channel that wants shared history must still produce the same `ChannelSession.isolation_key`.
+
+### Hooks
+
+Hooks are optional and channel-owned:
+
+- `ChannelRunHook`: runs after channel parsing and before host invocation; returns the `ChannelRequest` to execute.
+- `ChannelResponseHook`: runs after target completion and before the originating channel renders a one-shot response.
+- `ChannelStreamUpdateHook`: the host applies it to streamed updates before the originating channel serializes the stream.
+
+Common uses include adapting chat text into workflow inputs, enforcing deployment-specific options, flattening rich output for text-only protocols, or filtering streamed updates for a protocol. Stream update hooks are update-only; they do not automatically sanitize `get_final_response()` output. Channels choose their response transport from the parsed protocol request before invoking run hooks.
+
+### `HostedRunResult`
+
+`HostedRunResult[T]` wraps the target's full-fidelity result plus the resolved `AgentSession | None`.
+
+- Agent targets produce `HostedRunResult[AgentResponse]`.
+- Workflow targets produce `HostedRunResult[WorkflowRunResult]`.
+
+The host does not flatten, filter, or translate the result. Each channel decides how much of the result its protocol can carry.
+
+## Host Behavior
+
+1. `AgentFrameworkHost` builds one Starlette app and asks each channel for its contribution.
+2. A channel route receives a protocol-native request.
+3. The channel validates/parses the native payload and creates `ChannelRequest`.
+4. The channel passes the request, optional `ChannelRunHook`, and protocol-native context to the host.
+5. The host invokes `ChannelRunHook`, if configured, and receives the prepared request.
+6. The host resolves an `AgentSession` from `ChannelSession.isolation_key` when present.
+7. The host invokes the agent or workflow target.
+8. The host wraps the result in `HostedRunResult` or the streaming equivalent.
+9. The host invokes `ChannelResponseHook`, if configured, for non-streaming/final response shaping.
+10. The host applies stream update hooks while the channel consumes streams; the channel renders the originating protocol response.
+
+There is no host-level route from one channel's request to another channel's response in v1.
+
+## Workflow Checkpoints
+
+Workflow checkpointing is explicit. Apps either configure checkpoint storage on the workflow itself or pass a `checkpoint_location` to the host so the workflow dispatch path can use the intended file location.
+
+`state_dir` may provide a conventional location for workflow checkpoint files, but checkpointing is still opt-in and separate from agent session history. Checkpoints are workflow-runtime state, not channel state and not identity-link state.
+
+## Foundry Isolation Middleware
+
+V1 keeps Foundry isolation as middleware rather than as a channel-linking feature.
+
+The middleware is installed only when the Foundry hosting environment flag is present. In that environment it reads Foundry-provided isolation values at the trusted hosting boundary, exposes them as read-only request context for Foundry-aware history or memory providers, and rejects unsafe session resumes when the live isolation context does not match persisted session context. Outside Foundry, raw isolation headers are ignored unless an app supplies its own trusted middleware.
+
+This middleware does not create cross-channel identity links and does not authorize non-Foundry channels.
+
+## Current Channels
+
+### Responses
+
+`ResponsesChannel` exposes the OpenAI-compatible Responses API shape. It maps request body fields such as input, options, and conversation identifiers into `ChannelRequest`, and it renders Responses-compatible one-shot or streaming responses.
+
+Responses session continuity uses a channel-selected `isolation_key`, commonly derived from a response/conversation id, caller-provided session id, Foundry isolation context, or deployment-specific request metadata.
+
+### Invocations
+
+`InvocationsChannel` exposes an invocation endpoint for server-side callers and tools. It maps the request body into `ChannelRequest` and renders the invocation result on the same HTTP response.
+
+Invocations is useful for typed workflow inputs because a `ChannelRunHook` can translate the request body into the workflow's expected input type.
+
+### Telegram
+
+`TelegramChannel` supports webhook or polling transport, native command registration, and message rendering back to the originating Telegram chat.
+
+The channel chooses a default `isolation_key` from Telegram-native data such as chat id, user id, or a configured user/chat scope. A `/new` or equivalent command may call `reset_session` for that isolation key.
+
+### Activity Protocol
+
+`ActivityChannel` supports Activity Protocol requests, typically through Azure Bot Service for Teams, Web Chat, and other Bot Framework-fronted surfaces.
+
+The channel maps incoming `Activity` objects to `ChannelRequest` and renders a reply activity to the originating conversation. Proactive Activity delivery, active-channel routing, and all-linked fan-out are not v1 host semantics.
+
+### Discord
+
+`DiscordChannel` supports Discord messages, slash commands, and interactions as channel-native input.
+
+The channel maps Discord-native user, guild, channel, thread, and interaction data into `ChannelRequest` metadata and a configured `ChannelSession.isolation_key`. It renders the result to the originating Discord response path.
+
+## High-level Samples
+
+### One agent on Responses
+
+```python
+host = AgentFrameworkHost(
+    target=agent,
+    channels=[ResponsesChannel()],
+)
+
+app = host.app
+```
+
+### One agent on multiple channels
+
+```python
+host = AgentFrameworkHost(
+    target=agent,
+    channels=[
+        ResponsesChannel(),
+        InvocationsChannel(),
+        TelegramChannel(bot_token=os.environ["TELEGRAM_BOT_TOKEN"]),
+    ],
+)
+
+host.serve(host="localhost", port=8000)
+```
+
+The host owns one Starlette app. Each channel contributes its own routes and renders its own response.
+
+### Adapting a request before execution
+
+```python
+from dataclasses import replace
+
+
+def enforce_options(request: ChannelRequest) -> ChannelRequest:
+    options = dict(request.options or {})
+    options["temperature"] = 0
+    return replace(request, options=options)
+
+
+host = AgentFrameworkHost(
+    target=agent,
+    channels=[ResponsesChannel(run_hook=enforce_options)],
+)
+```
+
+### Workflow with explicit checkpoints
+
+```python
+host = AgentFrameworkHost(
+    target=workflow,
+    channels=[InvocationsChannel(run_hook=adapt_to_workflow_input)],
+    checkpoint_location=Path("./.af-hosting/workflow_checkpoints"),
+)
+```
+
+The hook adapts channel-native input to the workflow's typed input. Checkpoints use the explicit workflow checkpoint location, not identity-link or delivery storage.
+
+### Message channel reset command
+
+```python
+async def new_chat(context):
+    if context.request.session is not None:
+        await context.host.reset_session(context.request.session.isolation_key)
+        await context.reply("Started a new conversation.")
+```
+
+Telegram, Activity Protocol, and Discord can expose equivalent native commands when their protocols support them.
+
+## Follow-up Enhancements
+
+See [ADR-0028](../decisions/0028-hosting-linking-multicast-enhancements.md) for the deferred design covering:
+
+- cross-channel identity linking,
+- authorization and allowlists,
+- non-originating response delivery,
+- active-channel routing,
+- multicast and all-linked delivery,
+- background runs and continuation tokens,
+- durable delivery runners,
+- retry/replay semantics, and
+- payload serialization.
+
+Those enhancements must layer on top of this v1 contract without requiring v1 users to adopt them.
+
+## Validation Gates
+
+The Python implementation should be considered complete when:
+
+- a sample uses one `AgentFrameworkHost` with multiple channels and no manual Starlette route composition,
+- each current channel has contract tests for route contribution, lifecycle, request parsing, hooks, and originating response rendering,
+- session tests prove shared `isolation_key` values share an `AgentSession` and `reset_session` rotates it,
+- workflow tests or samples use explicit `checkpoint_location`,
+- Foundry isolation middleware is covered by integration or contract tests,
+- no v1 package exposes the removed linking, multicast, durable-runner, or continuation APIs, and
+- this spec and ADR-0027 remain aligned.

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

@@ -173,11 +173,11 @@ new SampleDefinition
 ```csharp
 new SampleDefinition
 {
-    Name = "Workflow_Visualization",
-    ProjectPath = "samples/03-workflows/Visualization",
+    Name = "Workflow_Declarative_GenerateCode",
+    ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
     IsDeterministic = true,
-    MustContain = ["Generating workflow visualization...", "Mermaid string:", "DiGraph string:"],
-    ExpectedOutputDescription = ["The output should show workflow visualization in Mermaid and DiGraph formats."],
+    MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
+    ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
 },
 ```
 

dotnet/Directory.Packages.props

@@ -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.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.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.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="1.56.0" />
+    <PackageVersion Include="Azure.Core" Version="1.55.0" />
     <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="1.12.0" />
+    <PackageVersion Include="System.ClientModel" Version="1.11.0" />
     <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" />

dotnet/agent-framework-dotnet.slnx

@@ -117,18 +117,17 @@
     <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" />
@@ -174,7 +173,6 @@
     <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" />
@@ -214,7 +212,6 @@
   </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" />
@@ -243,10 +240,11 @@
     <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/InvokeFoundryToolboxMcp/InvokeFoundryToolboxMcp.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/InvokeHttpRequest/InvokeHttpRequest.csproj" />
     <Project Path="samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.csproj" />
     <Project Path="samples/03-workflows/Declarative/Marketing/Marketing.csproj" />
@@ -283,7 +281,6 @@
   </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" />
@@ -344,9 +341,6 @@
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/HostedToolbox.csproj" />
   </Folder>
-  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/HostedToolboxMcpSkills.csproj" />
-  </Folder>
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/HostedAzureSearchRag.csproj" />
   </Folder>
@@ -363,9 +357,6 @@
   <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" />
@@ -601,17 +592,15 @@
     <Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Foundry.Hosting/Microsoft.Agents.AI.Foundry.Hosting.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Foundry/Microsoft.Agents.AI.Foundry.csproj" />
-    <Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
     <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.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" />
@@ -629,8 +618,8 @@
     <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.TestContainer/Foundry.Hosting.IntegrationTests.TestContainer.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.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" />
@@ -655,8 +644,8 @@
     <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.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.Foundry.Hosting.UnitTests/Microsoft.Agents.AI.Foundry.Hosting.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" />
@@ -665,7 +654,6 @@
     <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" />

dotnet/agent-framework-release.slnf

@@ -20,17 +20,13 @@
       "src\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore\\Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj",
       "src\\Microsoft.Agents.AI.Hosting.A2A\\Microsoft.Agents.AI.Hosting.A2A.csproj",
       "src\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj",
-      "src\\Microsoft.Agents.AI.Hosting.AspNetCore\\Microsoft.Agents.AI.Hosting.AspNetCore.csproj",
-      "src\\Microsoft.Agents.AI.Hosting.AzureFunctions\\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj",      
+      "src\\Microsoft.Agents.AI.Hosting.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",

dotnet/eng/MSBuild/Shared.props

@@ -11,6 +11,9 @@
   <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>

dotnet/eng/verify-samples/AgentsSamples.cs

@@ -363,25 +363,6 @@ 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
@@ -1170,25 +1151,6 @@ 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",

dotnet/eng/verify-samples/WorkflowSamples.cs

@@ -439,6 +439,15 @@ 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",

dotnet/nuget/nuget-package.props

@@ -1,14 +1,14 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.9.0</VersionPrefix>
+    <VersionPrefix>1.6.2</VersionPrefix>
     <RCNumber>1</RCNumber>
-    <DateSuffix>260603</DateSuffix>
+    <DateSuffix>260521</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>1.9.0</GitTag>
+    <GitTag>1.6.2</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

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

@@ -10,11 +10,6 @@ WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
 builder.Services.AddHttpClient().AddLogging();
 builder.Services.AddAGUI();
 
-// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
-// deployments, e.g.:
-// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
-
 WebApplication app = builder.Build();
 
 string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]

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

@@ -14,7 +14,6 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

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

@@ -16,11 +16,6 @@ builder.Services.ConfigureHttpJsonOptions(options =>
     options.SerializerOptions.TypeInfoResolverChain.Add(SampleJsonSerializerContext.Default));
 builder.Services.AddAGUI();
 
-// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
-// deployments, e.g.:
-// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
-
 WebApplication app = builder.Build();
 
 string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]

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

@@ -14,7 +14,6 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

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

@@ -10,11 +10,6 @@ WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
 builder.Services.AddHttpClient().AddLogging();
 builder.Services.AddAGUI();
 
-// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
-// deployments, e.g.:
-// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
-
 WebApplication app = builder.Build();
 
 string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]

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

@@ -14,7 +14,6 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

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

@@ -27,11 +27,6 @@ builder.Services.ConfigureHttpJsonOptions(options =>
     options.SerializerOptions.TypeInfoResolverChain.Add(ApprovalJsonContext.Default));
 builder.Services.AddAGUI();
 
-// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
-// deployments, e.g.:
-// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
-
 WebApplication app = builder.Build();
 
 app.UseHttpLogging();

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

@@ -14,7 +14,6 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

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

@@ -17,11 +17,6 @@ builder.Services.AddAGUI();
 // Configure to listen on port 8888
 builder.WebHost.UseUrls("http://localhost:8888");
 
-// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
-// deployments, e.g.:
-// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
-
 WebApplication app = builder.Build();
 
 string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]

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

@@ -14,7 +14,6 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/Program.cs

@@ -24,7 +24,6 @@ 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()

dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Program.cs

@@ -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="AgentClassSkill{TSelf}.Resources"/> and <see cref="AgentClassSkill{TSelf}.Scripts"/> can be overridden.
+/// <see cref="AgentSkill.Resources"/> and <see cref="AgentSkill.Scripts"/> can be overridden.
 /// </remarks>
 internal sealed class UnitConverterSkill : AgentClassSkill<UnitConverterSkill>
 {

dotnet/samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills/Agent_Step06_McpBasedSkills.csproj

@@ -1,24 +0,0 @@
-<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>

dotnet/samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills/Program.cs

@@ -1,142 +0,0 @@
-// 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;
-}

dotnet/samples/02-agents/AgentSkills/Agent_Step06_McpBasedSkills/README.md

@@ -1,34 +0,0 @@
-# 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
-```

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

@@ -9,7 +9,6 @@ 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
 

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Agent_Step26_FoundryToolboxMcpSkills.csproj

@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.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>

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Program.cs

@@ -1,93 +0,0 @@
-// 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);
-    }
-}

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/README.md

@@ -1,32 +0,0 @@
-# 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
-```

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

@@ -74,7 +74,6 @@ 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
 

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/AnsiEscapes.cs

@@ -72,95 +72,6 @@ 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,

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/ListSelection.cs

@@ -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++;
             }
         }
@@ -52,6 +52,7 @@ 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;
@@ -71,7 +72,6 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
                 }
 
                 Console.Write(props.Items[i]);
-                Console.Write(AnsiEscapes.EraseToEndOfLine);
 
                 if (isSelected)
                 {
@@ -101,7 +101,6 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
             }
 
             Console.Write(props.CustomText);
-            Console.Write(AnsiEscapes.EraseToEndOfLine);
 
             if (isSelected)
             {
@@ -122,7 +121,6 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
 
             Console.Write(" ");
             Console.Write(props.CustomTextPlaceholder);
-            Console.Write(AnsiEscapes.EraseToEndOfLine);
             Console.Write(AnsiEscapes.ResetAttributes);
         }
     }

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/TextPanel.cs

@@ -23,18 +23,16 @@ public record TextPanelProps : ConsoleReactiveProps
 public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiveState>
 {
     /// <summary>
-    /// Calculates the height (in lines) needed to render all items,
-    /// accounting for terminal line wrapping at the specified width.
+    /// Calculates the height (in lines) needed to render all items.
     /// </summary>
     /// <param name="items">The items to measure.</param>
-    /// <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)
+    /// <returns>The total number of lines all items will occupy.</returns>
+    public static int CalculateHeight(IReadOnlyList<string> items)
     {
         int total = 0;
         for (int i = 0; i < items.Count; i++)
         {
-            total += AnsiEscapes.CountPhysicalLines(items[i], terminalWidth);
+            total += CountLines(items[i]);
         }
 
         return total;
@@ -49,20 +47,13 @@ public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiv
         {
             string text = props.Items[i];
             string[] lines = text.Split('\n');
-            int itemLineCount = AnsiEscapes.CountPhysicalLines(text, props.Width);
-            int itemRow = 0;
+            int lineCount = CountLines(text);
 
-            for (int j = 0; j < lines.Length && itemRow < itemLineCount; j++)
+            for (int j = 0; j < lineCount; 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 += linePhysicalRows;
-                itemRow += linePhysicalRows;
+                currentRow++;
             }
         }
 
@@ -75,4 +66,29 @@ 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;
+    }
 }

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/TextScrollPanel.cs

@@ -17,19 +17,16 @@ public record TextScrollPanelProps : ConsoleReactiveProps
 /// <summary>
 /// State for <see cref="TextScrollPanel"/>.
 /// </summary>
-public record TextScrollPanelState : ConsoleReactiveState;
+/// <param name="RenderedCount">The number of items already rendered.</param>
+public record TextScrollPanelState(int RenderedCount = 0) : ConsoleReactiveState;
 
 /// <summary>
 /// A component that renders pre-rendered string items within a scroll area.
-/// 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.
+/// All items are considered finalized — only new items since the last render are output.
+/// Use <see cref="Reset"/> 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>
@@ -38,12 +35,12 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
         this.State = new TextScrollPanelState();
     }
 
-    /// <inheritdoc />
-    public override void Invalidate()
+    /// <summary>
+    /// Resets the panel so all items will be re-rendered on the next Render call.
+    /// </summary>
+    public void Reset()
     {
-        this._renderedCount = 0;
-        this._lastItemOffsetFromBottom = 0;
-        base.Invalidate();
+        this.State = new TextScrollPanelState();
     }
 
     /// <inheritdoc />
@@ -54,35 +51,16 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
             return;
         }
 
-        int bottomRow = props.Y + props.Height - 1;
+        // Move cursor to the bottom of the scroll area
+        Console.Write(AnsiEscapes.MoveCursor(props.Y + props.Height - 1, props.X));
 
-        // 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++)
+        // Output only new items since last rendered
+        for (int i = state.RenderedCount; i < props.Items.Count; i++)
         {
             Console.Write(props.Items[i]);
         }
 
-        // 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;
+        // Update state to track what we've rendered
+        this.State = new TextScrollPanelState(props.Items.Count);
     }
 }

dotnet/samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveComponent.cs

@@ -13,11 +13,6 @@ 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
@@ -45,6 +40,7 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
     where TProps : ConsoleReactiveProps
     where TState : ConsoleReactiveState
 {
+    private readonly object _renderLock = new();
     private TProps? _lastRenderedProps;
     private TState? _lastRenderedState;
 
@@ -78,7 +74,7 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
     /// </summary>
     public override void Render()
     {
-        lock (RenderLock)
+        lock (this._renderLock)
         {
             if (this.Props is null)
             {
@@ -101,7 +97,7 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
     /// <inheritdoc/>
     public override void Invalidate()
     {
-        lock (RenderLock)
+        lock (this._renderLock)
         {
             this._lastRenderedProps = default;
             this._lastRenderedState = default;

dotnet/samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveMemo.cs

@@ -1,36 +0,0 @@
-// 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!;
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessAppComponent.cs

@@ -19,6 +19,7 @@ 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();
@@ -28,7 +29,6 @@ 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.
@@ -341,8 +341,18 @@ 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, state.ConsoleWidth);
+        int queuedPanelHeight = TextPanel.CalculateHeight(state.QueuedItems);
 
         // Build the bottom panel child based on mode
         ConsoleReactiveComponent bottomChild;
@@ -407,14 +417,6 @@ 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,
@@ -442,7 +444,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
         int modeAndHelpHeight = showStatusAndHelp ? AgentModeAndHelp.CalculateHeight(modeAndHelpProps) : 0;
 
         int ruleHeight = TopBottomRule.CalculateHeight(ruleProps);
-        int nonScrollHeight = ruleHeight + agentStatusHeight + queuedPanelHeight + modeAndHelpHeight + 1; // +1 for bottom padding
+        int nonScrollHeight = ruleHeight + textPanelHeight + 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
@@ -453,36 +455,52 @@ 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
+        // 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()
+            : [];
+
         this._textScrollPanel.Props = new TextScrollPanelProps
         {
             X = 1,
             Y = 1,
             Width = state.ConsoleWidth,
             Height = scrollBottom,
-            Items = state.ScrollAreaContentItems,
+            Items = scrollItems,
         };
         this._textScrollPanel.Render();
 
-        // Render queued input items between scroll area and agent status
-        int queuedPanelY = scrollBottom + 1;
+        // 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;
         this._queuedPanel.Props = new TextPanelProps
         {
             X = 1,

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/PlanningOutputObserver.cs

@@ -88,17 +88,16 @@ public sealed class PlanningOutputObserver : ConsoleObserver
         {
             planningResponse = JsonSerializer.Deserialize<PlanningResponse>(collectedText);
         }
-        catch (JsonException)
+        catch (JsonException ex)
         {
-            // JSON parsing failed — fall back to rendering as regular text output.
-            await ux.WriteTextAsync(collectedText).ConfigureAwait(false);
+            await ux.WriteInfoLineAsync($"❌ Failed to parse planning response: {ex.Message}", ConsoleColor.Red);
+            await ux.WriteInfoLineAsync($"(raw response) {collectedText}", ConsoleColor.DarkYellow);
             return null;
         }
 
         if (planningResponse is null)
         {
-            // Null result — fall back to rendering as regular text output.
-            await ux.WriteTextAsync(collectedText).ConfigureAwait(false);
+            await ux.WriteInfoLineAsync("(no structured response from agent)", ConsoleColor.DarkYellow);
             return null;
         }
 
@@ -119,8 +118,7 @@ public sealed class PlanningOutputObserver : ConsoleObserver
             return new List<FollowUpAction> { this.BuildApprovalAction(question, session) };
         }
 
-        // Unexpected type — fall back to rendering as regular text output.
-        await ux.WriteTextAsync(collectedText).ConfigureAwait(false);
+        await ux.WriteInfoLineAsync($"(unexpected response type: {planningResponse.Type})", ConsoleColor.DarkYellow);
         return null;
     }
 

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/ModeToolFormatter.cs

@@ -5,17 +5,17 @@ using Microsoft.Extensions.AI;
 namespace Harness.Shared.Console.ToolFormatters;
 
 /// <summary>
-/// Formats <c>mode_*</c> tool calls, showing the target mode for Set operations.
+/// Formats <c>AgentMode_*</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("mode_", StringComparison.Ordinal);
+    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("AgentMode_", StringComparison.Ordinal);
 
     /// <inheritdoc/>
     public override string? FormatDetail(FunctionCallContent call) => call.Name switch
     {
-        "mode_set" => FormatStringArg(call, "mode"),
+        "AgentMode_Set" => FormatStringArg(call, "mode"),
         _ => null,
     };
 

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/TodoToolFormatter.cs

@@ -7,20 +7,20 @@ using Microsoft.Extensions.AI;
 namespace Harness.Shared.Console.ToolFormatters;
 
 /// <summary>
-/// Formats <c>todos_*</c> tool calls with tree-view output for added items
+/// Formats <c>TodoList_*</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("todos_", StringComparison.Ordinal);
+    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("TodoList_", StringComparison.Ordinal);
 
     /// <inheritdoc/>
     public override string? FormatDetail(FunctionCallContent call) => call.Name switch
     {
-        "todos_add" => FormatAddTodos(call),
-        "todos_complete" => FormatCompleteTodos(call),
-        "todos_remove" => FormatIdList(call, "ids", "Remove"),
+        "TodoList_Add" => FormatAddTodos(call),
+        "TodoList_Complete" => FormatCompleteTodos(call),
+        "TodoList_Remove" => FormatIdList(call, "ids", "Remove"),
         _ => null,
     };
 

dotnet/samples/02-agents/Harness/Harness_Shared_Console_OpenAI/OpenAIResponsesErrorObserver.cs

@@ -2,7 +2,6 @@
 
 #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;
@@ -54,94 +53,9 @@ public sealed class OpenAIResponsesErrorObserver : ConsoleObserver
 
             case StreamingResponseIncompleteUpdate incompleteUpdate:
                 string? reason = incompleteUpdate.Response?.IncompleteStatusDetails?.Reason?.ToString();
-                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);
-                }
-
+                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;
-        }
-    }
 }

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/Agent_MCP_LongRunningTask_Client.csproj

@@ -1,25 +0,0 @@
-<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>

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/Program.cs

@@ -1,145 +0,0 @@
-// 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.";
-    }
-}

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/README.md

@@ -1,60 +0,0 @@
-# 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.)
-```

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

@@ -22,7 +22,6 @@ 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
 

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

@@ -0,0 +1,30 @@
+<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>

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

@@ -0,0 +1,105 @@
+// 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();
+        }
+    }
+}

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

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

dotnet/samples/03-workflows/Orchestration/Magentic/Magentic.csproj

@@ -1,23 +0,0 @@
-<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>

dotnet/samples/03-workflows/Orchestration/Magentic/Program.cs

@@ -1,193 +0,0 @@
-// 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();
-    }
-}

dotnet/samples/03-workflows/Orchestration/Magentic/README.md

@@ -1,40 +0,0 @@
-# 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

dotnet/samples/03-workflows/README.md

@@ -62,4 +62,3 @@ 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 |

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/01_SingleAgent/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/02_AgentOrchestration_Chaining/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/03_AgentOrchestration_Concurrency/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/04_AgentOrchestration_Conditionals/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/05_AgentOrchestration_HITL/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/06_LongRunningTools/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/07_AgentAsMcpTool/local.settings.json

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

dotnet/samples/04-hosting/DurableAgents/AzureFunctions/08_ReliableStreaming/local.settings.json

@@ -0,0 +1,12 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>",
+    "REDIS_CONNECTION_STRING": "localhost:6379",
+    "REDIS_STREAM_TTL_MINUTES": "10"
+  }
+}

dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/01_SequentialWorkflow/local.settings.json

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

dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/02_ConcurrentWorkflow/local.settings.json

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

dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/03_WorkflowHITL/local.settings.json

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

dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/04_WorkflowMcpTool/local.settings.json

@@ -0,0 +1,8 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
+  }
+}

dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/05_WorkflowAndAgents/local.settings.json

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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/.env.example

@@ -1,14 +0,0 @@
-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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/Dockerfile

@@ -1,26 +0,0 @@
-# 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"]

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/Dockerfile.contributor

@@ -1,23 +0,0 @@
-# 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"]

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/HostedAgentSkills.csproj

@@ -1,40 +0,0 @@
-<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>

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/Program.cs

@@ -1,215 +0,0 @@
-// 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}).");
-        }
-    }
-}

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/README.md

@@ -1,109 +0,0 @@
-# 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.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/agent.manifest.yaml

@@ -1,41 +0,0 @@
-# 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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/agent.yaml

@@ -1,14 +0,0 @@
-# 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}

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/scripts/smoke.ps1

@@ -1,100 +0,0 @@
-#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
-}

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/skills/escalation-policy/SKILL.md

@@ -1,30 +0,0 @@
----
-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.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/skills/support-style/SKILL.md

@@ -1,25 +0,0 @@
----
-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 `# `.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/HostedAzureSearchRag.csproj

@@ -27,9 +27,9 @@
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
   <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-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.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" />
   </ItemGroup>
   -->
 

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/HostedChatClientAgent.csproj

@@ -23,8 +23,8 @@
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
   <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
     <PackageReference Include="Azure.AI.Projects" />
     <PackageReference Include="Azure.Identity" />
   </ItemGroup>

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/HostedFiles.csproj

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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/HostedFoundryAgent.csproj

@@ -23,8 +23,8 @@
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
   <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
     <PackageReference Include="Azure.AI.Projects" />
     <PackageReference Include="Azure.Identity" />
   </ItemGroup>

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/HostedLocalTools.csproj

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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/HostedMcpTools.csproj

@@ -26,8 +26,8 @@
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above
   <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-preview.260514.1" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.6.1-preview.260514.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
   </ItemGroup>
   -->
 

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/HostedMemoryAgent.csproj

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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/HostedObservability.csproj

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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/HostedTextRag.csproj

@@ -26,9 +26,9 @@
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
   <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.6.1-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.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" />
   </ItemGroup>
   -->
 

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/HostedToolbox.csproj

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

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/.env.example

@@ -1,6 +0,0 @@
-AZURE_AI_PROJECT_ENDPOINT=<your-azure-ai-project-endpoint>
-ASPNETCORE_URLS=http://+:8088
-ASPNETCORE_ENVIRONMENT=Development
-AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-5
-FOUNDRY_TOOLBOX_NAME=<your-toolbox-name>
-AZURE_BEARER_TOKEN=DefaultAzureCredential

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/Dockerfile

@@ -1,26 +0,0 @@
-# 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 HostedToolboxMcpSkills.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", "HostedToolboxMcpSkills.dll"]