Revert unnecessary bool simplification in WorkflowAgent input selection

Polish WorkflowAgent restore resume logic and tests
Fix WorkflowAgent pending request resume after session restore
2026-06-16 21:04:09 +08:00 · 2026-05-27 21:30:44 +00:00 · 2026-05-27 18:38:44 +00:00 · 2026-05-27 18:37:40 +00:00 · 2026-05-27 18:29:13 +00:00
644 changed files with 14979 additions and 39851 deletions
@@ -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
@@ -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,
-};
@@ -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);
-  });
-});
@@ -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:
@@ -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,
-            });
@@ -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
@@ -474,45 +474,6 @@ jobs:
          path: ./python/pytest.xml
          if-no-files-found: ignore

-  # GitHub Copilot integration tests
-  python-tests-github-copilot:
-    name: Python Integration Tests - GitHub Copilot
-    runs-on: ubuntu-latest
-    environment: integration
-    timeout-minutes: 60
-    env:
-      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
-      GITHUB_COPILOT_TIMEOUT: "120"
-    defaults:
-      run:
-        working-directory: python
-    steps:
-      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
-        with:
-          ref: ${{ inputs.checkout-ref }}
-          persist-credentials: false
-      - name: Set up python and install the project
-        id: python-setup
-        uses: ./.github/actions/python-setup
-        with:
-          python-version: ${{ env.UV_PYTHON }}
-          os: ${{ runner.os }}
-      - name: Test with pytest (GitHub Copilot integration)
-        run: >
-          uv run pytest --import-mode=importlib
-          packages/github_copilot/tests
-          -m integration
-          --timeout=120 --session-timeout=900 --timeout_method thread
-          --retries 2 --retry-delay 5
-          --junitxml=pytest.xml
-      - name: Upload test results
-        if: always()
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
-        with:
-          name: test-results-github-copilot
-          path: ./python/pytest.xml
-          if-no-files-found: ignore
-
  # Integration test trend report (aggregates per-job JUnit XML results)
  python-integration-test-report:
    name: Integration Test Report
@@ -529,7 +490,6 @@ jobs:
        python-tests-foundry,
        python-tests-foundry-hosting,
        python-tests-cosmos,
-        python-tests-github-copilot,
      ]
    runs-on: ubuntu-latest
    defaults:
@@ -593,8 +553,7 @@ jobs:
        python-tests-functions,
        python-tests-foundry,
        python-tests-foundry-hosting,
-        python-tests-cosmos,
-        python-tests-github-copilot
+        python-tests-cosmos
      ]
    steps:
      - name: Fail workflow if tests failed
@@ -40,7 +40,6 @@ jobs:
      foundryChanged: ${{ steps.filter.outputs.foundry }}
      foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
      cosmosChanged: ${{ steps.filter.outputs.cosmos }}
-      githubCopilotChanged: ${{ steps.filter.outputs.github_copilot }}
    steps:
      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
      - uses: dorny/paths-filter@d1c1ffe0248fe513906c8e24db8ea791d46f8590 # v3
@@ -86,8 +85,6 @@ jobs:
              - 'python/packages/foundry_hosting/**'
            cosmos:
              - 'python/packages/azure-cosmos/**'
-            github_copilot:
-              - 'python/packages/github_copilot/**'
      # run only if 'python' files were changed
      - name: python tests
        if: steps.filter.outputs.python == 'true'
@@ -661,58 +658,6 @@ jobs:
          path: ./python/pytest.xml
          if-no-files-found: ignore

-  # GitHub Copilot integration tests
-  python-tests-github-copilot:
-    name: Python Tests - GitHub Copilot Integration
-    needs: paths-filter
-    if: >
-      github.event_name != 'pull_request' &&
-      needs.paths-filter.outputs.pythonChanges == 'true' &&
-      (github.event_name != 'merge_group' ||
-       needs.paths-filter.outputs.githubCopilotChanged == 'true' ||
-       needs.paths-filter.outputs.coreChanged == 'true')
-    runs-on: ubuntu-latest
-    environment: integration
-    timeout-minutes: 60
-    env:
-      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
-      GITHUB_COPILOT_TIMEOUT: "120"
-    defaults:
-      run:
-        working-directory: python
-    steps:
-      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
-      - name: Set up python and install the project
-        id: python-setup
-        uses: ./.github/actions/python-setup
-        with:
-          python-version: ${{ env.UV_PYTHON }}
-          os: ${{ runner.os }}
-      - name: Test with pytest (GitHub Copilot integration)
-        run: >
-          uv run pytest --import-mode=importlib
-          packages/github_copilot/tests
-          -m integration
-          --timeout=120 --session-timeout=900 --timeout_method thread
-          --retries 2 --retry-delay 5
-          --junitxml=pytest.xml
-      - name: Surface failing tests
-        if: always()
-        uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
-        with:
-          path: ./python/pytest.xml
-          summary: true
-          display-options: fEX
-          fail-on-empty: false
-          title: GitHub Copilot integration test results
-      - name: Upload test results
-        if: always()
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
-        with:
-          name: test-results-github-copilot
-          path: ./python/pytest.xml
-          if-no-files-found: ignore
-
  # Integration test trend report (aggregates per-job JUnit XML results)
  python-integration-test-report:
    name: Integration Test Report
@@ -729,7 +674,6 @@ jobs:
        python-tests-foundry,
        python-tests-foundry-hosting,
        python-tests-cosmos,
-        python-tests-github-copilot,
      ]
    runs-on: ubuntu-latest
    defaults:
@@ -791,7 +735,6 @@ jobs:
        python-tests-foundry,
        python-tests-foundry-hosting,
        python-tests-cosmos,
-        python-tests-github-copilot,
      ]
    steps:
      - name: Fail workflow if tests failed
@@ -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"
@@ -248,4 +248,3 @@ dotnet/filtered-*.slnx
 .omx/

 **/issues/
-.test_*
@@ -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.
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-</svg>
@@ -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."],
 },
 ```

@@ -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" />
@@ -99,7 +99,7 @@
    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.67.0-preview" />
    <PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.67.0-preview" />
    <!-- Agent SDKs -->
-    <PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.0" />
+    <PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.0-beta.2" />
    <PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
    <!-- M365 Agents SDK -->
    <PackageVersion Include="AdaptiveCards" Version="3.1.0" />
@@ -109,7 +109,7 @@
    <PackageVersion Include="A2A" Version="1.0.0-preview2" />
    <PackageVersion Include="A2A.AspNetCore" Version="1.0.0-preview2" />
    <!-- MCP -->
-    <PackageVersion Include="ModelContextProtocol" Version="1.2.0" />
+    <PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
    <!-- Hyperlight -->
    <PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
    <PackageVersion Include="Hyperlight.HyperlightSandbox.Guest.Python" Version="0.4.0" />
@@ -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" />
@@ -243,10 +241,11 @@
    <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" />
@@ -344,9 +343,6 @@
  <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>
@@ -601,14 +597,13 @@
    <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" />
@@ -629,8 +624,8 @@
    <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 +650,8 @@
    <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" />
@@ -20,17 +20,14 @@
      "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",
@@ -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>
@@ -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
@@ -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",
@@ -1,14 +1,14 @@
 <Project>
  <PropertyGroup>
    <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.9.0</VersionPrefix>
+    <VersionPrefix>1.7.0</VersionPrefix>
    <RCNumber>1</RCNumber>
-    <DateSuffix>260603</DateSuffix>
+    <DateSuffix>260526</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>1.7.0</GitTag>

    <Configurations>Debug;Release;Publish</Configurations>
    <IsPackable>true</IsPackable>
@@ -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"]
@@ -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>

@@ -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"]
@@ -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>

@@ -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"]
@@ -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>

@@ -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();
@@ -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>

@@ -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"]
@@ -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>

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

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);GHCP001</NoWarn>
  </PropertyGroup>

  <ItemGroup>
@@ -2,22 +2,21 @@

 // This sample shows how to create a GitHub Copilot agent with shell command permissions.

-using GitHub.Copilot;
-using GitHub.Copilot.Rpc;
+using GitHub.Copilot.SDK;
 using Microsoft.Agents.AI;

 // Permission handler that prompts the user for approval
-static Task<PermissionDecision> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
+static Task<PermissionRequestResult> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
 {
    Console.WriteLine($"\n[Permission Request: {request.Kind}]");
    Console.Write("Approve? (y/n): ");

    string? input = Console.ReadLine()?.Trim().ToUpperInvariant();
-    PermissionDecision decision = input is "Y" or "YES"
-                                     ? PermissionDecision.ApproveOnce()
-                                     : PermissionDecision.Reject();
+    PermissionRequestResultKind kind = input is "Y" or "YES"
+                                     ? PermissionRequestResultKind.Approved
+                                     : PermissionRequestResultKind.Rejected;

-    return Task.FromResult(decision);
+    return Task.FromResult(new PermissionRequestResult { Kind = kind });
 }

 // Create and start a Copilot client
@@ -36,7 +36,7 @@ dotnet run
 You can customize the agent by providing additional configuration:

 ```csharp
-using GitHub.Copilot;
+using GitHub.Copilot.SDK;
 using Microsoft.Agents.AI;

 // Create and start a Copilot client
@@ -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>
@@ -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;
-}
@@ -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
-```
@@ -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

@@ -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>
@@ -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($"Assistant: {await agent.RunAsync(query)}");
-
-// ---------------------------------------------------------------------------
-// DelegatingHandler: attaches a fresh Foundry bearer token to every request
-// ---------------------------------------------------------------------------
-internal sealed class BearerTokenHandler(TokenCredential credential, string scope) : DelegatingHandler
-{
-    private readonly TokenRequestContext _tokenContext = new([scope]);
-
-    protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
-    {
-        AccessToken token = await credential.GetTokenAsync(this._tokenContext, cancellationToken).ConfigureAwait(false);
-        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token.Token);
-        return await base.SendAsync(request, cancellationToken).ConfigureAwait(false);
-    }
-}
@@ -1,32 +0,0 @@
-# Foundry Toolbox MCP Skills
-
-This sample uses
-`AgentSkillsProviderBuilder` to discover MCP-based skills from a Foundry Toolbox endpoint
-and inject them as `AIContextProviders` so the agent can discover and use them at runtime.
-
-## What this sample demonstrates
-
- Connecting to a Foundry toolbox's MCP endpoint via Streamable HTTP transport
- Injecting a fresh Azure AI bearer token (`https://ai.azure.com/.default`) on every MCP request
- Using `AgentSkillsProviderBuilder.UseMcpSkills(client)` to discover skills from the toolbox
- Injecting the discovered skills into `AIProjectClient.AsAIAgent(...)` via `AIContextProviders`
-
-## Prerequisites
-
- A Microsoft Foundry project with a toolbox already configured
- The toolbox MCP endpoint must expose `skill://index.json` with `skill-md` entries (SEP-2640). If the resource is absent, the sample runs but the skills provider will be empty.
- Azure CLI installed and authenticated (`az login`)
-
-Set the following environment variables:
-
-```powershell
-$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
-```
@@ -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

@@ -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,
@@ -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;
+    }
 }
@@ -77,12 +77,36 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
            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);
+        // Calculate the offset from bottom for the start of the new last item
+        int lastItemLines = CountLines(props.Items[^1]);
        this._lastItemOffsetFromBottom = lastItemLines > 0 ? lastItemLines - 1 : 0;

        // Update rendered count
        this._renderedCount = props.Items.Count;
    }
+
+    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;
+    }
 }
@@ -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;
@@ -28,7 +28,6 @@ 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.
@@ -342,7 +341,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
        }

        // 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 +406,6 @@ 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,
@@ -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;
    }

@@ -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,
    };

@@ -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;
-        }
-    }
 }
@@ -79,10 +79,8 @@ AIAgent agent =
    .GetProjectOpenAIClient()
    .GetResponsesClient()
    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
    {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
        Name = "ResearchAgent",
        Description = "A research assistant that plans and executes research tasks.",
        DisableFileAccess = true,                           // If enabled, this would allow the agent to read/write files in a working directory
@@ -44,10 +44,8 @@ AIAgent webSearchAgent =
    .GetProjectOpenAIClient()
    .GetResponsesClient()
    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
    {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
        Name = "WebSearchAgent",
        Description = "An agent that can search the web to find information.",
        OpenTelemetrySourceName = TracingSourceName,
@@ -94,10 +92,8 @@ AIAgent parentAgent =
    .GetProjectOpenAIClient()
    .GetResponsesClient()
    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
    {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
        Name = "StockPriceResearcher",
        Description = "An agent that researches stock prices using background agents.",
        OpenTelemetrySourceName = TracingSourceName,
@@ -68,10 +68,8 @@ AIAgent agent =
    .GetProjectOpenAIClient()
    .GetResponsesClient()
    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
    {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
        Name = "DataAnalyst",
        Description = "A data analyst assistant that reads, analyzes, and processes data files.",
        OpenTelemetrySourceName = TracingSourceName,
@@ -89,10 +89,8 @@ AIAgent agent =
    .GetProjectOpenAIClient()
    .GetResponsesClient()
    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
    {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
        Name = "CodeExecutionAgent",
        Description = "A technical assistant with sandboxed code execution and skill-based workflows.",
        OpenTelemetrySourceName = TracingSourceName,
@@ -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>$(NoWarn);CA1812</NoWarn>
+  </PropertyGroup>
+
+  <PropertyGroup>
+    <InjectSharedThrow>true</InjectSharedThrow>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Extensions.Configuration" />
+    <PackageReference Include="Microsoft.Extensions.Configuration.Binder" />
+    <PackageReference Include="Microsoft.Extensions.Configuration.EnvironmentVariables" />
+    <PackageReference Include="Microsoft.Extensions.Configuration.Json" />
+    <PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" />
+    <PackageReference Include="Microsoft.Extensions.DependencyInjection" />
+    <PackageReference Include="Microsoft.Extensions.Logging" />
+  </ItemGroup>
+  
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,105 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Diagnostics;
+using Microsoft.Agents.AI.Workflows.Declarative;
+
+namespace Demo.DeclarativeEject;
+
+/// <summary>
+/// HOW TO: Convert a workflow from a declartive (yaml based) definition to code.
+/// </summary>
+/// <remarks>
+/// <b>Usage</b>
+/// Provide the path to the workflow definition file as the first argument.
+/// All other arguments are intepreted as a queue of inputs.
+/// When no input is queued, interactive input is requested from the console.
+/// </remarks>
+internal sealed class Program
+{
+    public static void Main(string[] args)
+    {
+        Program program = new(args);
+        program.Execute();
+    }
+
+    private void Execute()
+    {
+        // Read and parse the declarative workflow.
+        Notify($"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();
+        }
+    }
+}
@@ -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\""
+    }
+  }
+}
@@ -50,16 +50,12 @@ internal static partial class WorkflowHelper
    /// <summary>
    /// Executor that starts the concurrent processing by sending messages to the agents.
    /// </summary>
-    [SendsMessage(typeof(List<ChatMessage>))]
-    [SendsMessage(typeof(TurnToken))]
-    private sealed partial class ConcurrentStartExecutor()
-        : Executor("ConcurrentStartExecutor", declareCrossRunShareable: true), IResettableExecutor
+    private sealed partial class ConcurrentStartExecutor() : Executor("ConcurrentStartExecutor")
    {
        [MessageHandler]
-        internal ValueTask RouteMessages(IEnumerable<ChatMessage> messages, IWorkflowContext context, CancellationToken cancellationToken)
+        internal ValueTask RouteMessages(List<ChatMessage> messages, IWorkflowContext context, CancellationToken cancellationToken)
        {
-            List<ChatMessage> payload = messages as List<ChatMessage> ?? messages.ToList();
-            return context.SendMessageAsync(payload, cancellationToken: cancellationToken);
+            return context.SendMessageAsync(messages, cancellationToken: cancellationToken);
        }

        [MessageHandler]
@@ -67,16 +63,13 @@ internal static partial class WorkflowHelper
        {
            return context.SendMessageAsync(token, cancellationToken: cancellationToken);
        }
-
-        public ValueTask ResetAsync() => default;
    }

    /// <summary>
    /// Executor that aggregates the results from the concurrent agents.
    /// </summary>
-    [YieldsOutput(typeof(string))]
-    private sealed partial class ConcurrentAggregationExecutor() :
-        Executor<List<ChatMessage>>("ConcurrentAggregationExecutor"), IResettableExecutor
+    [YieldsOutput(typeof(List<ChatMessage>))]
+    private sealed partial class ConcurrentAggregationExecutor() : Executor<List<ChatMessage>>("ConcurrentAggregationExecutor")
    {
        private readonly List<ChatMessage> _messages = [];

@@ -97,11 +90,5 @@ internal static partial class WorkflowHelper
                await context.YieldOutputAsync(formattedMessages, cancellationToken);
            }
        }
-
-        public ValueTask ResetAsync()
-        {
-            this._messages.Clear();
-            return default;
-        }
    }
 }
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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>"
+  }
+}
@@ -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"
+  }
+}
@@ -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>"
+  }
+}
@@ -71,34 +71,6 @@ curl -X POST http://localhost:8088/invocations \
  -d "Hello from Docker!"
 ```

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-invocations-echo-agent && cd hosted-invocations-echo-agent
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/invocations/Hosted-Invocations-EchoAgent/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-invocations-echo-agent
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `Hosted-Invocations-EchoAgent.csproj` for the `PackageReference` alternative.
@@ -107,29 +107,3 @@ 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.
-
-### Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-agent-skills && cd hosted-agent-skills
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-agent-skills
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
@@ -174,34 +174,6 @@ The model receives the top three search results as additional context and cites

 Replace the seed documents (or point the sample at an existing index with your own content) to ground the agent in your own knowledge base.

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-azure-search-rag && cd hosted-azure-search-rag
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-azure-search-rag
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedAzureSearchRag.csproj` for the `PackageReference` alternative.
@@ -104,32 +104,6 @@ curl -X POST http://localhost:8088/responses \
  -d '{"input": "Hello!", "model": "hosted-chat-client-agent"}'
 ```

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-chat-client-agent && cd hosted-chat-client-agent
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-chat-client-agent
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor` — it performs a full `dotnet restore` and `dotnet publish` inside the container. See the commented section in `HostedChatClientAgent.csproj` for the `PackageReference` alternative.
@@ -112,34 +112,6 @@ docker run --rm -p 8088:8088 \

 The bundled `resources/` folder is part of the published output and ships inside the image.

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-files && cd hosted-files
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-files
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If consuming the Agent Framework as a NuGet package, use the standard `Dockerfile` instead of `Dockerfile.contributor` and switch the `ProjectReference` entries in `HostedFiles.csproj` to `PackageReference` (commented section in the csproj).
@@ -107,32 +107,6 @@ curl -X POST http://localhost:8088/responses \
  -d '{"input": "Hello!", "model": "<your-agent-name>"}'
 ```

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-foundry-agent && cd hosted-foundry-agent
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-foundry-agent
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor` — it performs a full `dotnet restore` and `dotnet publish` inside the container. See the commented section in `HostedFoundryAgent.csproj` for the `PackageReference` alternative.
@@ -108,34 +108,6 @@ The agent has a single tool `GetAvailableHotels` defined as a C# method with `[D

 The tool searches a mock database of 6 Seattle hotels and returns formatted results with name, location, rating, and pricing.

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-local-tools && cd hosted-local-tools
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-local-tools
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedLocalTools.csproj` for the `PackageReference` alternative.
@@ -13,7 +13,7 @@
  <ItemGroup>
    <PackageReference Include="Azure.AI.Projects" />
    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="ModelContextProtocol" />
+    <PackageReference Include="ModelContextProtocol" VersionOverride="1.2.0" />
    <PackageReference Include="DotNetEnv" />
  </ItemGroup>

@@ -78,34 +78,6 @@ docker run --rm -p 8088:8088 \
  hosted-mcp-tools
 ```

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir mcp-tools && cd mcp-tools
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME mcp-tools
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedMcpTools.csproj` for the `PackageReference` alternative.
@@ -139,34 +139,6 @@ The script publishes the project, builds the image, runs the container with two
 `HOSTED_USER_ISOLATION_KEY` values, drives a multi-turn conversation per user, asserts that each
 user only sees their own memories, and exits non-zero on failure.

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-memory-agent && cd hosted-memory-agent
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-memory-agent
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the
@@ -104,34 +104,6 @@ docker run --rm -p 8088:8088 \

 Once deployed, telemetry flows to the Application Insights instance attached to your Foundry project. In the Foundry UI, the **Traces** tab next to **Playground** lists conversations and lets you drill into the span tree for any request.

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-observability && cd hosted-observability
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-observability
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If consuming the Agent Framework as a NuGet package, use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedObservability.csproj` for the `PackageReference` alternative.
@@ -111,34 +111,6 @@ The `TextSearchProvider` runs a mock search **before each model invocation**:

 The model receives the search results as additional context and cites the source in its response. In production, replace `MockSearchAsync` with a call to Azure AI Search or your preferred search provider.

-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-text-rag && cd hosted-text-rag
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-text-rag
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
 ## NuGet package users

 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedTextRag.csproj` for the `PackageReference` alternative.
@@ -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
@@ -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"]
@@ -1,18 +0,0 @@
-# Dockerfile for contributors building from the agent-framework repository source.
-#
-# This project uses ProjectReference to the local source, which means a standard
-# multi-stage Docker build cannot resolve dependencies outside this folder.
-# Pre-publish the app targeting the container runtime and copy the output:
-#
-#   dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
-#   docker build -f Dockerfile.contributor -t hosted-toolbox-mcp-skills .
-#   docker run --rm -p 8088:8088 -e AGENT_NAME=hosted-toolbox-mcp-skills -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN --env-file .env hosted-toolbox-mcp-skills
-#
-# For end-users consuming the NuGet package (not ProjectReference), use the standard
-# Dockerfile which performs a full dotnet restore + publish inside the container.
-FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
-WORKDIR /app
-COPY out/ .
-EXPOSE 8088
-ENV ASPNETCORE_URLS=http://+:8088
-ENTRYPOINT ["dotnet", "HostedToolboxMcpSkills.dll"]
@@ -1,36 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
-
-  <PropertyGroup>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <CentralPackageTransitivePinningEnabled>false</CentralPackageTransitivePinningEnabled>
-    <RootNamespace>HostedToolboxMcpSkills</RootNamespace>
-    <AssemblyName>HostedToolboxMcpSkills</AssemblyName>
-    <NoWarn>$(NoWarn);</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="ModelContextProtocol" VersionOverride="1.2.0" />
-    <PackageReference Include="DotNetEnv" />
-  </ItemGroup>
-
-  <!-- For contributors: uses ProjectReference to build against local source -->
-  <ItemGroup>
-    <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="..\..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
-  </ItemGroup>
-
-  <!-- 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.Mcp" Version="1.6.1-preview.260514.1" />
-  </ItemGroup>
-  -->
-
-</Project>
@@ -1,109 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// Hosted Toolbox MCP Skills Agent
-//
-// Demonstrates how to host an agent that discovers MCP-based skills from a
-// Foundry Toolbox MCP endpoint and injects them as AIContextProviders using
-// AgentSkillsProviderBuilder.UseMcpSkills().
-//
-// Required environment variables:
-//   AZURE_AI_PROJECT_ENDPOINT         - Azure AI Foundry project endpoint
-//   FOUNDRY_TOOLBOX_NAME              - Name of the Foundry Toolbox to connect to
-//   AZURE_AI_MODEL_DEPLOYMENT_NAME    - Model deployment name (default: gpt-5)
-
-using System.Net.Http.Headers;
-using Azure.AI.Projects;
-using Azure.Core;
-using Azure.Identity;
-using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Foundry.Hosting;
-using ModelContextProtocol.Client;
-
-// Load .env file if present (for local development)
-Env.TraversePath().Load();
-
-var projectEndpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
-    ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deployment = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5";
-var toolboxName = Environment.GetEnvironmentVariable("FOUNDRY_TOOLBOX_NAME")
-    ?? throw new InvalidOperationException("FOUNDRY_TOOLBOX_NAME is not set.");
-
-// Build the Toolbox MCP URL from the project endpoint and toolbox name.
-var toolboxMcpServerUrl = $"{projectEndpoint.TrimEnd('/')}/toolboxes/{toolboxName}/mcp?api-version=v1";
-
-// Use a chained credential: try a temporary dev token first (for local Docker debugging),
-// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in production).
-TokenCredential credential = new ChainedTokenCredential(
-    new DevTemporaryTokenCredential(),
-    new DefaultAzureCredential());
-
-// ── Connect to the Foundry Toolbox MCP endpoint ─────────────────────────────
-// Create an HttpClient that attaches a fresh Foundry bearer token to every request.
-using var httpClient = new HttpClient(new BearerTokenHandler(credential, "https://ai.azure.com/.default") { CheckCertificateRevocationList = true });
-
-Console.WriteLine($"Connecting to Foundry Toolbox '{toolboxName}' MCP server...");
-
-await using var mcpClient = await McpClient.CreateAsync(
-    new HttpClientTransport(
-        new HttpClientTransportOptions
-        {
-            Endpoint = new Uri(toolboxMcpServerUrl),
-            Name = toolboxName,
-            TransportMode = HttpTransportMode.StreamableHttp,
-            AdditionalHeaders = new Dictionary<string, string>
-            {
-                ["Foundry-Features"] = "Toolboxes=V1Preview",
-            },
-        },
-        httpClient));
-
-// ── Configure MCP-based skills provider ──────────────────────────────────────
-var skillsProvider = new AgentSkillsProviderBuilder()
-    .UseMcpSkills(mcpClient)
-    .Build();
-
-// ── Create the agent ─────────────────────────────────────────────────────────
-AIAgent agent = new AIProjectClient(new Uri(projectEndpoint), credential)
-    .AsAIAgent(new ChatClientAgentOptions
-    {
-        Name = Environment.GetEnvironmentVariable("AGENT_NAME") ?? "hosted-toolbox-mcp-skills",
-        Description = "Hosted agent with MCP skills discovered from a Foundry Toolbox",
-        ChatOptions = new()
-        {
-            ModelId = deployment,
-            Instructions = "You are a helpful assistant.",
-        },
-        AIContextProviders = [skillsProvider],
-    });
-
-// ── Build the host ───────────────────────────────────────────────────────────
-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();
-
-// ---------------------------------------------------------------------------
-// HttpClientHandler: attaches a fresh Foundry bearer token to every request
-// ---------------------------------------------------------------------------
-internal sealed class BearerTokenHandler(TokenCredential credential, string scope) : HttpClientHandler
-{
-    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);
-    }
-}
@@ -1,131 +0,0 @@
-# Hosted-ToolboxMcpSkills
-
-A hosted agent that discovers **MCP-based skills from a Foundry Toolbox** and makes them available to the agent using `AgentSkillsProviderBuilder.UseMcpSkills(mcpClient)`.
-
-The `AgentSkillsProvider` is attached to the agent as a context provider and implements the [Agent Skills](https://agentskills.io/) progressive-disclosure pattern. When the agent is prompted, it discovers available skills in the Foundry Toolbox via the provider:
-
-1. **Advertise** - skill names and descriptions are injected into the system prompt so the agent knows what is available.
-2. **Load** - when the agent decides a skill is relevant, it retrieves the full skill body with detailed instructions via the provider.
-3. **Read resources** - if a skill includes supplementary content (reference documents, assets), the agent reads them on demand via the provider.
-
-This way the full skill body and resources are only loaded when the agent actually needs them, reducing token usage.
-
-## Prerequisites
-
- [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
- An Azure AI Foundry project with a deployed model (e.g., `gpt-5`)
- A Foundry Toolbox already configured with skills provisioned
- Azure CLI logged in (`az login`)
-
-## Configuration
-
-Copy the template and fill in your values:
-
-```bash
-cp .env.example .env
-```
-
-Edit `.env` and set your Azure AI Foundry project endpoint and toolbox name:
-
-```env
-AZURE_AI_PROJECT_ENDPOINT=https://<your-account>.services.ai.azure.com/api/projects/<your-project>
-ASPNETCORE_URLS=http://+:8088
-ASPNETCORE_ENVIRONMENT=Development
-AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-5
-FOUNDRY_TOOLBOX_NAME=my-toolbox
-```
-
-> **Note:** `.env` is gitignored. The `.env.example` template is checked in as a reference.
-
-## Running directly (contributors)
-
-This project uses `ProjectReference` to build against the local Agent Framework source.
-
-```bash
-cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills
-dotnet run
-```
-
-The agent will start on `http://localhost:8088`.
-
-### Test it
-
-Using the Azure Developer CLI:
-
-```bash
-azd ai agent invoke --local "What skills do you have available?"
-```
-
-## Running with Docker
-
-Since this project uses `ProjectReference`, use `Dockerfile.contributor` which takes a pre-published output.
-
-### 1. Publish for the container runtime (Linux Alpine)
-
-```bash
-dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
-```
-
-### 2. Build the Docker image
-
-```bash
-docker build -f Dockerfile.contributor -t hosted-toolbox-mcp-skills .
-```
-
-### 3. Run the container
-
-Generate a bearer token on your host and pass it to the container:
-
-```bash
-# Generate token (expires in ~1 hour)
-export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
-
-# Run with token
-docker run --rm -p 8088:8088 \
-  -e AGENT_NAME=hosted-toolbox-mcp-skills \
-  -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN \
-  --env-file .env \
-  hosted-toolbox-mcp-skills
-```
-
-> **Note:** `AGENT_NAME` is passed via `-e` to simulate the platform injection. `AZURE_BEARER_TOKEN` provides Azure credentials to the container (tokens expire after ~1 hour). The `.env` file provides the remaining configuration.
-
-### 4. Test it
-
-Using the Azure Developer CLI:
-
-```bash
-azd ai agent invoke --local "What skills do you have available?"
-```
-
-## Deploying to Foundry (azd spec)
-
-This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
-
-Initialize an `azd` project from this sample's manifest:
-
-```bash
-mkdir hosted-toolbox-mcp-skills && cd hosted-toolbox-mcp-skills
-azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/agent.manifest.yaml
-```
-
-Then deploy:
-
-```bash
-azd deploy
-```
-
-If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
-
-```bash
-azd env set AGENT_NAME hosted-toolbox-mcp-skills
-azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-5
-```
-
-For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
-
---
-
-## NuGet package users
-
-If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedToolboxMcpSkills.csproj` for the `PackageReference` alternative.
@@ -1,43 +0,0 @@
-# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/AgentManifest.yaml
-name: hosted-toolbox-mcp-skills
-displayName: "Hosted Toolbox MCP Skills Agent"
-
-description: >
-  A hosted agent that discovers MCP-based skills from a Foundry Toolbox
-  and makes them available to the agent via the agent skills provider.
-
-metadata:
-  tags:
-    - AI Agent Hosting
-    - Azure AI AgentServer
-    - Responses Protocol
-    - Agent Framework
-    - MCP
-    - Model Context Protocol
-    - Agent Skills
-    - Foundry Toolbox
-    - Foundry Toolbox Skills
-
-template:
-  name: hosted-toolbox-mcp-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: FOUNDRY_TOOLBOX_NAME
-      value: "{{FOUNDRY_TOOLBOX_NAME}}"
-parameters:
-  properties:
-    - name: FOUNDRY_TOOLBOX_NAME
-      secret: false
-      description: Name of the Foundry Toolbox to connect to for MCP skill discovery
-resources:
-  - kind: model
-    id: gpt-5
-    name: AZURE_AI_MODEL_DEPLOYMENT_NAME
@@ -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-toolbox-mcp-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: FOUNDRY_TOOLBOX_NAME
-    value: ${FOUNDRY_TOOLBOX_NAME}
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
copilot-swe-agent[bot]andGitHub	aee043d17e	Revert unnecessary bool simplification in WorkflowAgent input selection	2026-05-27 21:30:44 +00:00
copilot-swe-agent[bot]andGitHub	5c52926123	Polish WorkflowAgent restore resume logic and tests	2026-05-27 18:38:44 +00:00
copilot-swe-agent[bot]andGitHub	02e5600ede	Fix WorkflowAgent pending request resume after session restore	2026-05-27 18:37:40 +00:00
copilot-swe-agent[bot]andGitHub	9361cda413	Initial plan	2026-05-27 18:29:13 +00:00