Merge branch 'main' into copilot/update-microsoft-extensions-ai-packages

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

@@ -1,64 +0,0 @@
-name: Free runner disk space
-description: |
-  Reclaims disk space on GitHub-hosted Ubuntu runners by removing
-  pre-installed toolchains we do not use (Android SDK, GHC/Haskell,
-  CodeQL bundle), Docker images, and swap. Also relocates the
-  NuGet package cache to /mnt (which has ~75 GB free vs ~14 GB
-  on /). No-op on non-Linux runners.
-
-runs:
-  using: composite
-  steps:
-    - name: Free disk space (Linux only)
-      if: runner.os == 'Linux'
-      shell: bash
-      run: |
-        set -euo pipefail
-        echo "::group::Disk usage before cleanup"
-        df -h /
-        echo "::endgroup::"
-
-        # Remove pre-installed toolchains we never use on this repo's
-        # dotnet/python jobs. These reclaim ~25-30 GB on ubuntu-latest.
-        sudo rm -rf \
-          /usr/local/lib/android \
-          /usr/share/dotnet/sdk/NuGetFallbackFolder \
-          /opt/ghc \
-          /usr/local/.ghcup \
-          /opt/hostedtoolcache/CodeQL \
-          /opt/hostedtoolcache/PyPy \
-          /opt/hostedtoolcache/Ruby \
-          /opt/hostedtoolcache/go \
-          /usr/local/share/boost \
-          /usr/local/share/powershell \
-          /usr/local/share/chromium \
-          /usr/local/share/vcpkg \
-          /usr/local/lib/heroku \
-          "${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/PyPy" \
-          "${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/Ruby" \
-          "${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/go" || true
-
-        # Drop docker images shipped on the runner; jobs that need
-        # docker pull what they need fresh.
-        if command -v docker >/dev/null 2>&1; then
-          sudo docker image prune --all --force >/dev/null 2>&1 || true
-        fi
-
-        # Disable swap to free its backing file.
-        sudo swapoff -a || true
-        sudo rm -f /mnt/swapfile /swapfile || true
-
-        echo "::group::Disk usage after cleanup"
-        df -h /
-        echo "::endgroup::"
-
-    - name: Relocate NuGet package cache to /mnt (Linux only)
-      if: runner.os == 'Linux'
-      shell: bash
-      run: |
-        set -euo pipefail
-        sudo mkdir -p /mnt/nuget
-        sudo chown -R "$USER":"$USER" /mnt/nuget
-        echo "NUGET_PACKAGES=/mnt/nuget" >> "$GITHUB_ENV"
-        echo "Relocated NuGet package cache to /mnt/nuget"
-        df -h /mnt || true

.github/scripts/pr_limit_moderation.js

@@ -1,181 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-function getPullRequest(context) {
-  const pullRequest = context.payload.pull_request;
-  if (!pullRequest?.number || !pullRequest.user?.login) {
-    throw new Error('This script must be run from a pull_request_target event.');
-  }
-
-  return {
-    author: pullRequest.user.login,
-    authorType: pullRequest.user.type,
-    labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
-    number: pullRequest.number,
-  };
-}
-
-async function ensureLabel({ github, owner, repo, labelName }) {
-  try {
-    await github.rest.issues.getLabel({
-      owner,
-      repo,
-      name: labelName,
-    });
-  } catch (error) {
-    if (error.status !== 404) {
-      throw error;
-    }
-
-    try {
-      await github.rest.issues.createLabel({
-        owner,
-        repo,
-        name: labelName,
-        color: 'd93f0b',
-        description: 'Community author has exceeded the open pull request limit.',
-      });
-    } catch (createError) {
-      if (createError.status !== 422) {
-        throw createError;
-      }
-    }
-  }
-}
-
-function hasLabel(labels, labelName) {
-  if (!labelName) {
-    return false;
-  }
-
-  return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
-}
-
-function isDependabotAuthor({ author, authorType }) {
-  return authorType === 'Bot' && author.toLowerCase() === 'dependabot[bot]';
-}
-
-function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount }) {
-  return [
-    `Thank you for your contribution, @${author}.`,
-    '',
-    `To keep the review queue manageable, we currently limit community contributors to ${maxOpenPrs} `
-      + `open pull requests at a time. This PR would put you at ${openPrCount} open pull requests, `
-      + 'so we are closing it automatically.',
-    '',
-    'Please focus on getting your existing PRs reviewed, merged, or closed before opening another one. '
-      + `If a maintainer asked you to open this PR, they can apply the \`${exemptLabelName}\` label and reopen it.`,
-  ].join('\n');
-}
-
-async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
-  const openPullRequests = await github.paginate(github.rest.pulls.list, {
-    owner,
-    repo,
-    state: 'open',
-    per_page: 100,
-  });
-
-  const authorOpenPullRequestNumbers = openPullRequests
-    .filter((pullRequest) => pullRequest.user?.login === author)
-    .map((pullRequest) => pullRequest.number);
-  const currentPrIsOpen = authorOpenPullRequestNumbers.includes(pullRequestNumber);
-  const existingOpenPrCount = currentPrIsOpen
-    ? authorOpenPullRequestNumbers.length - 1
-    : authorOpenPullRequestNumbers.length;
-
-  return existingOpenPrCount + 1;
-}
-
-async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
-  const { owner, repo } = context.repo;
-  const { author, authorType, labels, number } = getPullRequest(context);
-
-  if (isDependabotAuthor({ author, authorType })) {
-    core.info(`Author ${author} is Dependabot; skipping open PR limit enforcement.`);
-    return {
-      author,
-      closed: false,
-      dependabotExempt: true,
-      openPrCount: null,
-    };
-  }
-
-  if (hasLabel(labels, exemptLabelName)) {
-    core.info(`PR #${number} has the ${exemptLabelName} label; skipping open PR limit enforcement.`);
-    return {
-      author,
-      closed: false,
-      exempt: true,
-      openPrCount: null,
-    };
-  }
-
-  const openPrCount = await getOpenPrCount({
-    github,
-    owner,
-    repo,
-    author,
-    pullRequestNumber: number,
-  });
-
-  if (openPrCount <= maxOpenPrs) {
-    core.info(
-      `${author} has ${openPrCount} open pull request(s), which is within the limit of ${maxOpenPrs}.`,
-    );
-    return {
-      author,
-      closed: false,
-      openPrCount,
-    };
-  }
-
-  await ensureLabel({
-    github,
-    owner,
-    repo,
-    labelName,
-  });
-
-  await github.rest.issues.addLabels({
-    owner,
-    repo,
-    issue_number: number,
-    labels: [labelName],
-  });
-
-  await github.rest.issues.createComment({
-    owner,
-    repo,
-    issue_number: number,
-    body: buildLimitMessage({
-      author,
-      exemptLabelName,
-      maxOpenPrs,
-      openPrCount,
-    }),
-  });
-
-  await github.rest.pulls.update({
-    owner,
-    repo,
-    pull_number: number,
-    state: 'closed',
-  });
-
-  core.info(
-    `${author} has ${openPrCount} open pull request(s), which exceeds the limit of ${maxOpenPrs}. `
-      + `Closed PR #${number}.`,
-  );
-
-  return {
-    author,
-    closed: true,
-    openPrCount,
-  };
-}
-
-module.exports = {
-  buildLimitMessage,
-  enforcePrLimit,
-  getOpenPrCount,
-};

.github/tests/test_pr_limit_moderation.js

@@ -1,341 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-/**
- * Tests for pr_limit_moderation.js.
- *
- * Run with: node --test .github/tests/test_pr_limit_moderation.js
- */
-
-const { describe, it } = require('node:test');
-const assert = require('node:assert/strict');
-
-const { enforcePrLimit } = require('../scripts/pr_limit_moderation.js');
-
-
-// ---------------------------------------------------------------------------
-// Helpers
-// ---------------------------------------------------------------------------
-
-function createContext({ author = 'community-user', authorType = 'User', labels = [], number = 123 } = {}) {
-  return {
-    repo: {
-      owner: 'microsoft',
-      repo: 'agent-framework',
-    },
-    payload: {
-      pull_request: {
-        number,
-        labels: labels.map((name) => ({ name })),
-        user: {
-          login: author,
-          type: authorType,
-        },
-      },
-    },
-  };
-}
-
-function createCore() {
-  const messages = [];
-  return {
-    messages,
-    info(message) {
-      messages.push(message);
-    },
-  };
-}
-
-function createGithub({
-  itemNumbers,
-  labelExists = true,
-  pullRequests = createPullRequestPage({ numbers: itemNumbers }),
-}) {
-  const calls = [];
-
-  return {
-    calls,
-    async paginate(method, params) {
-      calls.push({ api: 'paginate', method, params });
-      return pullRequests;
-    },
-    rest: {
-      issues: {
-        async getLabel(params) {
-          calls.push({ api: 'issues.getLabel', params });
-          if (!labelExists) {
-            const error = new Error('Not Found');
-            error.status = 404;
-            throw error;
-          }
-          return { data: { name: params.name } };
-        },
-        async createLabel(params) {
-          calls.push({ api: 'issues.createLabel', params });
-          return { data: { name: params.name } };
-        },
-        async addLabels(params) {
-          calls.push({ api: 'issues.addLabels', params });
-          return { data: [] };
-        },
-        async createComment(params) {
-          calls.push({ api: 'issues.createComment', params });
-          return { data: { id: 1 } };
-        },
-      },
-      pulls: {
-        async list(params) {
-          calls.push({ api: 'pulls.list', params });
-          return { data: pullRequests };
-        },
-        async update(params) {
-          calls.push({ api: 'pulls.update', params });
-          return { data: { state: params.state } };
-        },
-      },
-    },
-  };
-}
-
-function createPullRequestPage({ author = 'community-user', numbers }) {
-  return numbers.map((number) => ({
-    number,
-    user: {
-      login: author,
-    },
-  }));
-}
-
-
-// ---------------------------------------------------------------------------
-// PR limit enforcement
-// ---------------------------------------------------------------------------
-
-describe('PR limit enforcement', () => {
-  it('does not close the PR when the author is at the open PR limit', async () => {
-    const github = createGithub({
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, false);
-    assert.equal(result.openPrCount, 10);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      ['paginate'],
-    );
-  });
-
-  it('counts the new PR when the pull list includes it', async () => {
-    const github = createGithub({
-      itemNumbers: [123, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.equal(result.openPrCount, 11);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      [
-        'paginate',
-        'issues.getLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-  });
-
-  it('counts the current PR on top of existing open PRs', async () => {
-    const github = createGithub({
-      itemNumbers: [123, ...Array.from({ length: 24 }, (_, index) => index + 1)],
-      pullRequests: createPullRequestPage({
-        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
-      }),
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.equal(result.openPrCount, 26);
-    const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
-    assert.match(comment, /This PR would put you at 26 open pull requests/);
-  });
-
-  it('creates the label when it does not already exist', async () => {
-    const github = createGithub({
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      labelExists: false,
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      [
-        'paginate',
-        'issues.getLabel',
-        'issues.createLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-    assert.equal(
-      github.calls.find((call) => call.api === 'issues.createLabel').params.name,
-      'too-many-prs',
-    );
-  });
-
-  it('tolerates a 422 race when creating the label', async () => {
-    const github = createGithub({
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      labelExists: false,
-    });
-    github.rest.issues.createLabel = async (params) => {
-      github.calls.push({ api: 'issues.createLabel', params });
-      const error = new Error('Validation Failed');
-      error.status = 422;
-      throw error;
-    };
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      [
-        'paginate',
-        'issues.getLabel',
-        'issues.createLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-  });
-
-  it('uses a diplomatic close message with the configured limit', async () => {
-    const github = createGithub({
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      pullRequests: createPullRequestPage({
-        author: 'octo-contributor',
-        numbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      }),
-    });
-
-    await enforcePrLimit({
-      github,
-      context: createContext({ author: 'octo-contributor' }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
-    assert.match(comment, /Thank you for your contribution/);
-    assert.match(comment, /limit community contributors to 10 open pull requests/);
-    assert.match(comment, /@octo-contributor/);
-    assert.match(comment, /`pr-limit-exempt` label and reopen/);
-  });
-
-  it('does not close an exempt PR when it is reopened', async () => {
-    const github = createGithub({
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext({ labels: ['PR-LIMIT-EXEMPT'] }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, false);
-    assert.equal(result.exempt, true);
-    assert.equal(result.openPrCount, null);
-    assert.deepEqual(github.calls, []);
-  });
-
-  it('does not close Dependabot PRs', async () => {
-    const github = createGithub({
-      itemNumbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
-      pullRequests: createPullRequestPage({
-        author: 'dependabot[bot]',
-        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
-      }),
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext({ author: 'dependabot[bot]', authorType: 'Bot' }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, false);
-    assert.equal(result.dependabotExempt, true);
-    assert.equal(result.openPrCount, null);
-    assert.deepEqual(github.calls, []);
-  });
-
-  it('counts the current PR when the author has more than one page of open PRs', async () => {
-    const github = createGithub({
-      itemNumbers: [123, ...Array.from({ length: 100 }, (_, index) => index + 1)],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext({ number: 123 }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.equal(result.openPrCount, 101);
-  });
-});

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

@@ -121,9 +121,6 @@ jobs:
               python
               declarative-agents
 
-      - name: Free runner disk space
-        uses: ./.github/actions/free-runner-disk-space
-
       - name: Setup dotnet
         uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
         with:
@@ -194,9 +191,6 @@ jobs:
               python
               declarative-agents
 
-      - name: Free runner disk space
-        uses: ./.github/actions/free-runner-disk-space
-
       # Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
       - name: Start Azure Cosmos DB Emulator
         if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
@@ -371,9 +365,6 @@ jobs:
             dotnet
             python
 
-      - name: Free runner disk space
-        uses: ./.github/actions/free-runner-disk-space
-
       - name: Setup dotnet
         uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
         with:
@@ -461,9 +452,6 @@ jobs:
             python
             declarative-agents
 
-      - name: Free runner disk space
-        uses: ./.github/actions/free-runner-disk-space
-
       - name: Setup dotnet
         uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
         with:

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

@@ -1,83 +0,0 @@
-name: Limit community pull requests
-
-on:
-  pull_request_target:
-    types: [opened, reopened]
-
-permissions:
-  contents: read
-  issues: write
-  pull-requests: write
-
-concurrency:
-  group: pr-limit-${{ github.repository }}-${{ github.event.pull_request.user.login }}
-  cancel-in-progress: false
-
-env:
-  MAX_OPEN_PULL_REQUESTS: '10'
-  PR_LIMIT_EXEMPT_LABEL: pr-limit-exempt
-  TOO_MANY_PRS_LABEL: too-many-prs
-
-jobs:
-  team_check:
-    runs-on: ubuntu-latest
-    outputs:
-      is_team_member: ${{ steps.check.outputs.is_team_member }}
-    steps:
-      - name: Checkout scripts
-        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
-        with:
-          sparse-checkout: .github/scripts
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Check PR author team membership
-        id: check
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
-        env:
-          TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
-          PR_NUMBER: ${{ github.event.pull_request.number }}
-        with:
-          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-          script: |
-            const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
-            const { author, isTeamMember } = await checkTeamMembership({
-              github,
-              context,
-              core,
-              teamSlug: process.env.TEAM_NAME,
-              issueNumber: process.env.PR_NUMBER,
-            });
-            core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
-            if (isTeamMember) {
-              core.info(`Author ${author} is a team member; skipping open PR limit.`);
-            } else {
-              core.info(`Author ${author} is not a team member; checking open PR limit.`);
-            }
-
-  limit_open_prs:
-    runs-on: ubuntu-latest
-    needs: team_check
-    if: ${{ needs.team_check.outputs.is_team_member == 'false' }}
-    steps:
-      - name: Checkout scripts
-        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
-        with:
-          sparse-checkout: .github/scripts
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Enforce open PR limit
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
-        with:
-          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-          script: |
-            const { enforcePrLimit } = require('./.github/scripts/pr_limit_moderation.js');
-            await enforcePrLimit({
-              github,
-              context,
-              core,
-              exemptLabelName: process.env.PR_LIMIT_EXEMPT_LABEL,
-              maxOpenPrs: Number.parseInt(process.env.MAX_OPEN_PULL_REQUESTS, 10),
-              labelName: process.env.TOO_MANY_PRS_LABEL,
-            });

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

@@ -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

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

@@ -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

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

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

.gitignore

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

SUPPORT.md

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

dotnet/Directory.Packages.props

@@ -22,14 +22,14 @@
     <PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
     <!-- Azure.* -->
-    <PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.25" />
-    <PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.4" />
-    <PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.5" />
+    <PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.23" />
+    <PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.3" />
+    <PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.4" />
     <PackageVersion Include="Azure.Search.Documents" Version="12.0.0" />
     <PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.2" />
     <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.10" />
     <PackageVersion Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
-    <PackageVersion Include="Azure.Core" Version="1.56.0" />
+    <PackageVersion Include="Azure.Core" Version="1.55.0" />
     <PackageVersion Include="Azure.Identity" Version="1.21.0" />
     <PackageVersion Include="DotNetEnv" Version="3.1.1" />
     <PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.5.0" />
@@ -44,7 +44,7 @@
     <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.6" />
     <PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
     <PackageVersion Include="Microsoft.Bcl.Memory" Version="10.0.5" />
-    <PackageVersion Include="System.ClientModel" Version="1.12.0" />
+    <PackageVersion Include="System.ClientModel" Version="1.11.0" />
     <PackageVersion Include="System.CodeDom" Version="10.0.0" />
     <PackageVersion Include="System.Collections.Immutable" Version="10.0.1" />
     <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
@@ -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" />

dotnet/agent-framework-dotnet.slnx

@@ -344,9 +344,6 @@
   <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>

dotnet/nuget/nuget-package.props

@@ -1,14 +1,14 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.9.0</VersionPrefix>
+    <VersionPrefix>1.8.0</VersionPrefix>
     <RCNumber>1</RCNumber>
-    <DateSuffix>260603</DateSuffix>
+    <DateSuffix>260528</DateSuffix>
     <PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
     <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).$(DateSuffix).1</PackageVersion>
     <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.$(DateSuffix).1</PackageVersion>
     <PackageVersion Condition="'$(IsReleased)' == 'true'">$(VersionPrefix)</PackageVersion>
-    <GitTag>1.9.0</GitTag>
+    <GitTag>1.8.0</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

dotnet/samples/03-workflows/Observability/WorkflowAsAnAgent/WorkflowHelper.cs

@@ -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;
-        }
     }
 }

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

@@ -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>
 

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

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

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

@@ -1,26 +0,0 @@
-# Dockerfile for end-users consuming the Agent Framework via NuGet packages.
-#
-# This Dockerfile performs a full `dotnet restore` and `dotnet publish` inside the container,
-# which only succeeds when the project references its dependencies via PackageReference (see the
-# commented-out section in HostedToolboxMcpSkills.csproj). Contributors building from the
-# agent-framework repository source must use Dockerfile.contributor instead because
-# ProjectReference dependencies live outside this folder and cannot be restored from inside
-# this build context.
-#
-# Use the official .NET 10.0 ASP.NET runtime as a parent image
-FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS base
-WORKDIR /app
-
-FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
-WORKDIR /src
-COPY . .
-RUN dotnet restore
-RUN dotnet publish -c Release -o /app/publish
-
-# Final stage
-FROM base AS final
-WORKDIR /app
-COPY --from=build /app/publish .
-EXPOSE 8088
-ENV ASPNETCORE_URLS=http://+:8088
-ENTRYPOINT ["dotnet", "HostedToolboxMcpSkills.dll"]

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

@@ -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"]

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/HostedToolboxMcpSkills.csproj

@@ -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>

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

@@ -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);
-    }
-}

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

@@ -1,103 +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?"
-```
-
-## 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.

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

@@ -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

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

@@ -1,14 +0,0 @@
-# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/ContainerAgent.yaml
-kind: hosted
-name: hosted-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}

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Using-Samples/SessionFilesClient/SessionFilesClient.csproj

@@ -13,10 +13,8 @@
 
   <ItemGroup>
     <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Core" />
     <PackageReference Include="Azure.Identity" />
     <PackageReference Include="DotNetEnv" />
-    <PackageReference Include="System.ClientModel" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Using-Samples/SimpleAgent/SimpleAgent.csproj

@@ -13,10 +13,8 @@
 
   <ItemGroup>
     <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Core" />
     <PackageReference Include="Azure.Identity" />
     <PackageReference Include="DotNetEnv" />
-    <PackageReference Include="System.ClientModel" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/samples/05-end-to-end/AGUIClientServer/AGUIDojoServer/AGUIDojoServer.csproj

@@ -15,7 +15,6 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting.AspNetCore\Microsoft.Agents.AI.Hosting.AspNetCore.csproj" />
     <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 

dotnet/samples/05-end-to-end/AGUIClientServer/AGUIDojoServer/Program.cs

@@ -19,11 +19,6 @@ builder.Services.AddHttpClient().AddLogging();
 builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIDojoServerSerializerContext.Default));
 builder.Services.AddAGUI();
 
-// WARNING: When adding session persistence (e.g., WithInMemorySessionStore), or running in production,
-// make sure to also register a SessionIsolationKeyProvider to scope sessions by principal in multi-user
-// deployments, e.g.:
-// builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
-
 WebApplication app = builder.Build();
 
 app.UseHttpLogging();

dotnet/samples/05-end-to-end/AGUIClientServer/AGUIServer/Program.cs

@@ -49,9 +49,8 @@ var agent = new AzureOpenAIClient(
                 AGUIServerSerializerContext.Default.Options)
         ]);
 
-// 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.:
+// When running in production, make sure to use an SessionIsolationKeyProvider, e.g. ClaimsIdentity-based
+// if using Claims-based Identity for Authentication/Authorization
 // builder.Services.UseClaimsBasedSessionIsolation(new() { ClaimType = ClaimTypes.NameIdentifier });
 
 // Register the agent with the host and configure it to use an in-memory session store

dotnet/samples/05-end-to-end/AGUIWebChat/Server/AGUIWebChatServer.csproj

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

dotnet/samples/05-end-to-end/AGUIWebChat/Server/Program.cs

@@ -12,11 +12,6 @@ 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"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");

dotnet/src/Microsoft.Agents.AI.Abstractions/AgentResponse.cs

@@ -297,7 +297,7 @@ public class AgentResponse
                 AgentId = this.AgentId,
                 ResponseId = this.ResponseId,
                 MessageId = message.MessageId,
-                CreatedAt = message.CreatedAt ?? this.CreatedAt,
+                CreatedAt = this.CreatedAt,
             };
         }
 

dotnet/src/Microsoft.Agents.AI.Foundry.Hosting/OutputConverter.cs

@@ -281,19 +281,14 @@ internal static class OutputConverter
 
                         var outputText = EncodeFunctionResultAsJsonStringPayload(functionResult.Result);
 
-                        // Use the SDK's convenience method so the OutputItemFunctionToolCallOutput
-                        // is constructed with a populated Id. The public OutputItemFunctionToolCallOutput
-                        // ctor only sets CallId/Output (Id is read-only), and AddOutputItem<T>+EmitAdded
-                        // does not auto-stamp Id — only ResponseId/AgentReference. Without this, the
-                        // serialized item arrives at the Foundry storage layer with id=null and is
-                        // rejected with "ID cannot be null or empty (Parameter 'id')".
-                        foreach (var evt in stream.OutputItemFunctionCallOutput(
+                        var itemId = GenerateItemId("fc");
+                        var outputItem = new OutputItemFunctionToolCallOutput(
                             functionResult.CallId,
-                            BinaryData.FromString(outputText)))
-                        {
-                            yield return evt;
-                        }
+                            BinaryData.FromString(outputText));
 
+                        var outputBuilder = stream.AddOutputItem<OutputItemFunctionToolCallOutput>(itemId);
+                        yield return outputBuilder.EmitAdded(outputItem);
+                        yield return outputBuilder.EmitDone(outputItem);
                         break;
                     }
 

dotnet/src/Microsoft.Agents.AI.Foundry/Microsoft.Agents.AI.Foundry.csproj

@@ -24,13 +24,11 @@
 
   <ItemGroup>
     <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Core" />
     <PackageReference Include="Microsoft.Extensions.AI" />
     <PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
     <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
     <PackageReference Include="Microsoft.Extensions.Compliance.Abstractions" />
     <PackageReference Include="OpenAI" />
-    <PackageReference Include="System.ClientModel" />
   </ItemGroup>
 
   <!-- Evaluation support requires net8.0+ (MEAI.Evaluation does not support legacy TFMs) -->

dotnet/src/Microsoft.Agents.AI.Harness/ChatClientHarnessExtensions.cs

@@ -1,9 +1,7 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-using System;
 using System.Diagnostics.CodeAnalysis;
 using Microsoft.Agents.AI;
-using Microsoft.Extensions.Logging;
 using Microsoft.Shared.DiagnosticIds;
 
 namespace Microsoft.Extensions.AI;
@@ -34,19 +32,11 @@ public static class ChatClientHarnessExtensions
     /// additional context providers, and chat history provider.
     /// When <see langword="null"/>, the agent uses built-in default settings.
     /// </param>
-    /// <param name="loggerFactory">
-    /// Optional logger factory for creating loggers used by the agent and its components.
-    /// </param>
-    /// <param name="services">
-    /// Optional service provider for resolving dependencies required by AI functions and other agent components.
-    /// </param>
     /// <returns>A new <see cref="HarnessAgent"/> instance.</returns>
     public static HarnessAgent AsHarnessAgent(
         this IChatClient chatClient,
         int maxContextWindowTokens,
         int maxOutputTokens,
-        HarnessAgentOptions? options = null,
-        ILoggerFactory? loggerFactory = null,
-        IServiceProvider? services = null) =>
-        new(chatClient, maxContextWindowTokens, maxOutputTokens, options, loggerFactory, services);
+        HarnessAgentOptions? options = null) =>
+        new(chatClient, maxContextWindowTokens, maxOutputTokens, options);
 }

dotnet/src/Microsoft.Agents.AI.Harness/HarnessAgent.cs

@@ -10,7 +10,6 @@ using Microsoft.Agents.AI.Compaction;
 using Microsoft.Agents.AI.Tools.Shell;
 #endif
 using Microsoft.Extensions.AI;
-using Microsoft.Extensions.Logging;
 using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 
@@ -106,12 +105,6 @@ public sealed class HarnessAgent : DelegatingAIAgent
     /// additional context providers, and chat history provider.
     /// When <see langword="null"/>, the agent uses built-in default settings.
     /// </param>
-    /// <param name="loggerFactory">
-    /// Optional logger factory for creating loggers used by the agent and its components.
-    /// </param>
-    /// <param name="services">
-    /// Optional service provider for resolving dependencies required by AI functions and other agent components.
-    /// </param>
     /// <exception cref="ArgumentNullException">
     /// <paramref name="chatClient"/> is <see langword="null"/>.
     /// </exception>
@@ -119,20 +112,18 @@ public sealed class HarnessAgent : DelegatingAIAgent
     /// <paramref name="maxContextWindowTokens"/> is not positive, or
     /// <paramref name="maxOutputTokens"/> is negative or greater than or equal to <paramref name="maxContextWindowTokens"/>.
     /// </exception>
-    public HarnessAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options = null, ILoggerFactory? loggerFactory = null, IServiceProvider? services = null)
+    public HarnessAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options = null)
         : base(BuildAgent(
             Throw.IfNull(chatClient),
             maxContextWindowTokens,
             maxOutputTokens,
-            options,
-            loggerFactory,
-            services))
+            options))
     {
     }
 
-    private static AIAgent BuildAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
+    private static AIAgent BuildAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options)
     {
-        ChatClientAgent innerAgent = BuildInnerAgent(chatClient, maxContextWindowTokens, maxOutputTokens, options, loggerFactory, services);
+        ChatClientAgent innerAgent = BuildInnerAgent(chatClient, maxContextWindowTokens, maxOutputTokens, options);
 
         AIAgentBuilder builder = innerAgent.AsBuilder();
 
@@ -146,10 +137,10 @@ public sealed class HarnessAgent : DelegatingAIAgent
             builder.UseOpenTelemetry(sourceName: options?.OpenTelemetrySourceName);
         }
 
-        return builder.Build(services);
+        return builder.Build();
     }
 
-    private static ChatClientAgent BuildInnerAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
+    private static ChatClientAgent BuildInnerAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options)
     {
         var compactionStrategy = new ContextWindowCompactionStrategy(
             maxContextWindowTokens: maxContextWindowTokens,
@@ -174,13 +165,13 @@ public sealed class HarnessAgent : DelegatingAIAgent
 
         ChatOptions chatOptions = BuildChatOptions(options, instructions, maxOutputTokens);
 
-        var compactionProvider = new CompactionProvider(compactionStrategy, loggerFactory: loggerFactory);
+        var compactionProvider = new CompactionProvider(compactionStrategy);
 
-        IEnumerable<AIContextProvider> contextProviders = BuildContextProviders(options, loggerFactory);
+        IEnumerable<AIContextProvider> contextProviders = BuildContextProviders(options);
 
         return chatClient
             .AsBuilder()
-            .UseFunctionInvocation(loggerFactory, configure: options?.MaximumIterationsPerRequest is int maxIterations
+            .UseFunctionInvocation(configure: options?.MaximumIterationsPerRequest is int maxIterations
                 ? ficc => ficc.MaximumIterationsPerRequest = maxIterations
                 : null)
             .UseMessageInjection()
@@ -198,9 +189,7 @@ public sealed class HarnessAgent : DelegatingAIAgent
                 RequirePerServiceCallChatHistoryPersistence = true,
                 WarnOnChatHistoryProviderConflict = false,
                 ThrowOnChatHistoryProviderConflict = false,
-            },
-            loggerFactory,
-            services);
+            });
     }
 
     private static ChatOptions BuildChatOptions(HarnessAgentOptions? options, string instructions, int maxOutputTokens)
@@ -226,7 +215,7 @@ public sealed class HarnessAgent : DelegatingAIAgent
         return result;
     }
 
-    private static List<AIContextProvider> BuildContextProviders(HarnessAgentOptions? options, ILoggerFactory? loggerFactory)
+    private static List<AIContextProvider> BuildContextProviders(HarnessAgentOptions? options)
     {
         var providers = new List<AIContextProvider>();
 
@@ -266,8 +255,8 @@ public sealed class HarnessAgent : DelegatingAIAgent
         if (options?.DisableAgentSkillsProvider is not true)
         {
             AgentSkillsProvider skillsProvider = options?.AgentSkillsSource is AgentSkillsSource source
-                ? new AgentSkillsProvider(source, loggerFactory: loggerFactory)
-                : new AgentSkillsProvider(Directory.GetCurrentDirectory(), loggerFactory: loggerFactory);
+                ? new AgentSkillsProvider(source)
+                : new AgentSkillsProvider(Directory.GetCurrentDirectory());
 
             providers.Add(skillsProvider);
         }

dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/AGUIEndpointRouteBuilderExtensions.cs

@@ -103,16 +103,7 @@ public static class AGUIEndpointRouteBuilderExtensions
         ArgumentNullException.ThrowIfNull(aiAgent);
 
         var agentSessionStore = endpoints.ServiceProvider.GetKeyedService<AgentSessionStore>(aiAgent.Name);
-
-        // Ensure that we have an IsolationKeyScopedAgentSessionStore registered.
-        var isolationKeyProvider = endpoints.ServiceProvider.GetService<SessionIsolationKeyProvider>();
-        if (agentSessionStore?.GetService<IsolationKeyScopedAgentSessionStore>() is null)
-        {
-            agentSessionStore ??= new NoopAgentSessionStore();
-            agentSessionStore = new IsolationKeyScopedAgentSessionStore(agentSessionStore, isolationKeyProvider, new() { Strict = isolationKeyProvider != null });
-        }
-
-        var hostAgent = new AIHostAgent(aiAgent, agentSessionStore);
+        var hostAgent = new AIHostAgent(aiAgent, agentSessionStore ?? new NoopAgentSessionStore());
 
         return endpoints.MapPost(pattern, async ([FromBody] RunAgentInput? input, HttpContext context, CancellationToken cancellationToken) =>
         {

dotnet/src/Microsoft.Agents.AI.Workflows.Declarative.Foundry/Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj

@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <!-- Preview while Microsoft.Agents.AI.Foundry is preview (blocked by Azure.AI.Projects 2.1.0-beta). Flip to IsReleased=true once that ships stable. -->
+    <IsReleaseCandidate>true</IsReleaseCandidate>
     <NoWarn>$(NoWarn);MEAI001;OPENAI001</NoWarn>
   </PropertyGroup>
 

dotnet/src/Microsoft.Agents.AI.Workflows.Declarative.Mcp/Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj

@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <IsReleased>true</IsReleased>
+    <IsReleaseCandidate>true</IsReleaseCandidate>
     <NoWarn>$(NoWarn);MEAI001;OPENAI001</NoWarn>
   </PropertyGroup>
 
@@ -13,11 +13,9 @@
 
   <Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
 
-  <!-- First Stable release after the RC milestone. Baseline against the latest 
-       published RC so package validation catches accidental breaking changes. 
-       Future releases should bump this to the previous stable version. -->
+  <!-- Package not yet published to NuGet — disable baseline validation until first release -->
   <PropertyGroup>
-    <PackageValidationBaselineVersion>1.8.0-rc1</PackageValidationBaselineVersion>
+    <EnablePackageValidation>false</EnablePackageValidation>
   </PropertyGroup>
 
   <PropertyGroup>

dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj

@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <IsReleased>true</IsReleased>
+    <IsReleaseCandidate>true</IsReleaseCandidate>
     <NoWarn>$(NoWarn);MEAI001;OPENAI001</NoWarn>
   </PropertyGroup>
 
@@ -13,13 +13,6 @@
 
   <Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
 
-  <!-- First Stable release after the RC milestone. Baseline against the latest 
-       published RC so package validation catches accidental breaking changes. 
-       Future releases should bump this to the previous stable version. -->
-  <PropertyGroup>
-    <PackageValidationBaselineVersion>1.8.0-rc1</PackageValidationBaselineVersion>
-  </PropertyGroup>
-
   <PropertyGroup>
     <!-- NuGet Package Settings -->
     <Title>Microsoft Agent Framework Declarative Workflows</Title>

dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/ObjectModel/InvokeMcpToolExecutor.cs

@@ -27,14 +27,6 @@ internal sealed class InvokeMcpToolExecutor(
     WorkflowFormulaState state) :
     DeclarativeActionExecutor<InvokeMcpTool>(model, state)
 {
-    private const string ApprovalSnapshotStateKey = nameof(_approvalSnapshot);
-
-    /// <summary>
-    /// Snapshot of evaluated parameters at approval-request time.
-    /// Used to prevent TOCTOU attacks where state mutates during the approval window.
-    /// </summary>
-    private ApprovalSnapshot? _approvalSnapshot;
-
     /// <summary>
     /// Step identifiers for the MCP tool invocation workflow.
     /// </summary>
@@ -83,18 +75,18 @@ internal sealed class InvokeMcpToolExecutor(
 
         if (requireApproval)
         {
-            // Snapshot the evaluated parameters to prevent TOCTOU attacks.
-            // If state mutates during the approval window, the approved values are used on resume.
-            this._approvalSnapshot = new ApprovalSnapshot(serverUrl, serverLabel, toolName, arguments, connectionName);
-
-            // Create tool call content for approval request.
-            // Transport headers (e.g. Authorization) are intentionally excluded from the
-            // approval event: they must not cross into the externally-surfaced approval request.
+            // Create tool call content for approval request
             McpServerToolCallContent toolCall = new(this.Id, toolName, serverLabel ?? serverUrl)
             {
                 Arguments = arguments
             };
 
+            if (headers != null)
+            {
+                toolCall.AdditionalProperties ??= [];
+                toolCall.AdditionalProperties.Add(headers);
+            }
+
             ToolApprovalRequestContent approvalRequest = new(this.Id, toolCall);
 
             ChatMessage requestMessage = new(ChatRole.Assistant, [approvalRequest]);
@@ -149,14 +141,13 @@ internal sealed class InvokeMcpToolExecutor(
             return;
         }
 
-        // Approved - use the snapshot from approval-request time to prevent TOCTOU attacks.
-        // Headers are re-evaluated (they may contain auth secrets that should not be persisted).
-        string serverUrl = this._approvalSnapshot?.ServerUrl ?? this.GetServerUrl();
-        string? serverLabel = this._approvalSnapshot?.ServerLabel ?? this.GetServerLabel();
-        string toolName = this._approvalSnapshot?.ToolName ?? this.GetToolName();
-        Dictionary<string, object?>? arguments = this._approvalSnapshot?.Arguments ?? this.GetArguments();
+        // Approved - now invoke the tool
+        string serverUrl = this.GetServerUrl();
+        string? serverLabel = this.GetServerLabel();
+        string toolName = this.GetToolName();
+        Dictionary<string, object?>? arguments = this.GetArguments();
         Dictionary<string, string>? headers = this.GetHeaders();
-        string? connectionName = this._approvalSnapshot?.ConnectionName ?? this.GetConnectionName();
+        string? connectionName = this.GetConnectionName();
 
         McpServerToolResultContent resultContent = await mcpToolHandler.InvokeToolAsync(
             serverUrl,
@@ -175,33 +166,9 @@ internal sealed class InvokeMcpToolExecutor(
     /// </summary>
     public async ValueTask CompleteAsync(IWorkflowContext context, ActionExecutorResult message, CancellationToken cancellationToken)
     {
-        // Clear the approval snapshot after successful completion.
-        this._approvalSnapshot = null;
-        await ClearSnapshotStateAsync(context, cancellationToken).ConfigureAwait(false);
-
         await context.RaiseCompletionEventAsync(this.Model, cancellationToken).ConfigureAwait(false);
     }
 
-    /// <inheritdoc/>
-    /// <remarks>
-    /// Persists the approval snapshot to workflow state so it survives checkpoint/restore cycles.
-    /// </remarks>
-    protected override async ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
-    {
-        await context.QueueStateUpdateAsync(ApprovalSnapshotStateKey, this._approvalSnapshot, null, cancellationToken).ConfigureAwait(false);
-        await base.OnCheckpointingAsync(context, cancellationToken).ConfigureAwait(false);
-    }
-
-    /// <inheritdoc/>
-    /// <remarks>
-    /// Restores the approval snapshot from workflow state after a checkpoint restore.
-    /// </remarks>
-    protected override async ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
-    {
-        await base.OnCheckpointRestoredAsync(context, cancellationToken).ConfigureAwait(false);
-        this._approvalSnapshot = await context.ReadStateAsync<ApprovalSnapshot>(ApprovalSnapshotStateKey, null, cancellationToken).ConfigureAwait(false);
-    }
-
     private async ValueTask ProcessResultAsync(IWorkflowContext context, McpServerToolResultContent resultContent, CancellationToken cancellationToken)
     {
         bool autoSend = this.GetAutoSendValue();
@@ -402,24 +369,4 @@ internal sealed class InvokeMcpToolExecutor(
 
         return result;
     }
-
-    /// <summary>
-    /// Clears the persisted approval snapshot state after a successful tool invocation.
-    /// </summary>
-    private static async ValueTask ClearSnapshotStateAsync(IWorkflowContext context, CancellationToken cancellationToken)
-    {
-        await context.QueueStateUpdateAsync<ApprovalSnapshot?>(ApprovalSnapshotStateKey, null, null, cancellationToken).ConfigureAwait(false);
-    }
-
-    /// <summary>
-    /// Stores the evaluated parameters at approval-request time so that
-    /// <see cref="CaptureResponseAsync"/> uses the values the user reviewed,
-    /// even if <see cref="WorkflowFormulaState"/> mutates during the approval window.
-    /// </summary>
-    internal sealed record ApprovalSnapshot(
-        string ServerUrl,
-        string? ServerLabel,
-        string ToolName,
-        Dictionary<string, object?>? Arguments,
-        string? ConnectionName);
 }

dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/Magentic/MagenticOrchestrator.cs

@@ -195,12 +195,7 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
         }
         else
         {
-            // Subsequent turns: agent returned control, go directly to coordination (progress ledger only, no replan).
-            // Capture the participant's reply into the manager-visible chat history so the progress ledger can see it.
-            if (messages is { Count: > 0 })
-            {
-                this._taskContext.ChatHistory.AddRange(messages);
-            }
+            // Subsequent turns: agent returned control, go directly to coordination (progress ledger only, no replan)
             await this.RunCoordinationRoundAsync(this._taskContext, context, cancellationToken).ConfigureAwait(false);
         }
     }

dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkill.cs

@@ -49,13 +49,14 @@ public sealed class AgentFileSkill : AgentSkill
     /// <inheritdoc/>
     /// <remarks>
     /// Returns the raw SKILL.md content. When the skill has scripts, a
-    /// <c>&lt;script_schemas&gt;</c> block is appended describing the argument format.
+    /// <c>&lt;scripts&gt;&lt;script name="..."&gt;&lt;parameters_schema&gt;...&lt;/parameters_schema&gt;&lt;/script&gt;&lt;/scripts&gt;</c>
+    /// block is appended with a per-script entry describing the expected argument format.
     /// The result is cached after the first access.
     /// </remarks>
     public override ValueTask<string> GetContentAsync(CancellationToken cancellationToken = default)
     {
         var content = this._content ??= this._scripts is { Count: > 0 }
-            ? this._originalContent + AgentInlineSkillContentBuilder.BuildScriptSchemasBlock(this._scripts)
+            ? this._originalContent + AgentInlineSkillContentBuilder.BuildScriptsBlock(this._scripts)
             : this._originalContent;
         return new(content);
     }

dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentClassSkill.cs

@@ -114,6 +114,7 @@ public abstract class AgentClassSkill<
             this.Frontmatter.Name,
             this.Frontmatter.Description,
             this.Instructions,
+            this.Resources,
             this.Scripts));
     }
 
@@ -146,17 +147,11 @@ public abstract class AgentClassSkill<
     /// Gets the resources associated with this skill, or <see langword="null"/> if none.
     /// </summary>
     /// <remarks>
-    /// <para>
     /// The default implementation returns resources discovered via reflection by scanning
     /// <typeparamref name="TSelf"/> for members annotated with <see cref="AgentSkillResourceAttribute"/>.
     /// This discovery is compatible with Native AOT because <typeparamref name="TSelf"/> is annotated with
     /// <see cref="DynamicallyAccessedMembersAttribute"/>. The result is cached after the first access.
     /// Override this property in derived classes to provide skill-specific resources.
-    /// </para>
-    /// <para>
-    /// Resources are not automatically included in the skill body.
-    /// To enable discovery, reference resources by name in the skill's instructions or in other resources.
-    /// </para>
     /// </remarks>
     public virtual IReadOnlyList<AgentSkillResource>? Resources => this._resources.Value;
 
@@ -164,17 +159,11 @@ public abstract class AgentClassSkill<
     /// Gets the scripts associated with this skill, or <see langword="null"/> if none.
     /// </summary>
     /// <remarks>
-    /// <para>
     /// The default implementation returns scripts discovered via reflection by scanning
     /// <typeparamref name="TSelf"/> for methods annotated with <see cref="AgentSkillScriptAttribute"/>.
     /// This discovery is compatible with Native AOT because <typeparamref name="TSelf"/> is annotated with
     /// <see cref="DynamicallyAccessedMembersAttribute"/>. The result is cached after the first access.
     /// Override this property in derived classes to provide skill-specific scripts.
-    /// </para>
-    /// <para>
-    /// Only script parameter schemas are included in the skill body (as a <c>&lt;script_schemas&gt;</c> block).
-    /// To enable discovery, reference scripts by name in the skill's instructions or in a resource.
-    /// </para>
     /// </remarks>
     public virtual IReadOnlyList<AgentSkillScript>? Scripts => this._scripts.Value;
 
@@ -195,10 +184,6 @@ public abstract class AgentClassSkill<
     /// <summary>
     /// Creates a skill resource backed by a static value.
     /// </summary>
-    /// <remarks>
-    /// Resources are not automatically included in the skill body.
-    /// To enable discovery, reference the resource by name in the skill's instructions or in another resource.
-    /// </remarks>
     /// <param name="name">The resource name.</param>
     /// <param name="value">The static resource value.</param>
     /// <param name="description">An optional description of the resource.</param>
@@ -209,10 +194,6 @@ public abstract class AgentClassSkill<
     /// <summary>
     /// Creates a skill resource backed by a delegate that produces a dynamic value.
     /// </summary>
-    /// <remarks>
-    /// Resources are not automatically included in the skill body.
-    /// To enable discovery, reference the resource by name in the skill's instructions or in another resource.
-    /// </remarks>
     /// <param name="name">The resource name.</param>
     /// <param name="method">A method that produces the resource value when requested.</param>
     /// <param name="description">An optional description of the resource.</param>
@@ -227,10 +208,6 @@ public abstract class AgentClassSkill<
     /// <summary>
     /// Creates a skill script backed by a delegate.
     /// </summary>
-    /// <remarks>
-    /// Only the script's parameter schema is included in the skill body (as a <c>&lt;script_schemas&gt;</c> block).
-    /// To enable discovery, reference the script by name in the skill's instructions or in a resource.
-    /// </remarks>
     /// <param name="name">The script name.</param>
     /// <param name="method">A method to execute when the script is invoked.</param>
     /// <param name="description">An optional description of the script.</param>

dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkill.cs

@@ -95,7 +95,7 @@ public sealed class AgentInlineSkill : AgentSkill
     /// <inheritdoc/>
     public override ValueTask<string> GetContentAsync(CancellationToken cancellationToken = default)
     {
-        return new(this._cachedContent ??= AgentInlineSkillContentBuilder.Build(this.Frontmatter.Name, this.Frontmatter.Description, this._instructions, this._scripts));
+        return new(this._cachedContent ??= AgentInlineSkillContentBuilder.Build(this.Frontmatter.Name, this.Frontmatter.Description, this._instructions, this._resources, this._scripts));
     }
 
     /// <inheritdoc/>
@@ -115,10 +115,6 @@ public sealed class AgentInlineSkill : AgentSkill
     /// <summary>
     /// Registers a static resource with this skill.
     /// </summary>
-    /// <remarks>
-    /// Resources are not automatically included in the skill body.
-    /// To enable discovery, reference the resource by name in the skill's instructions or in another resource.
-    /// </remarks>
     /// <param name="name">The resource name.</param>
     /// <param name="value">The static resource value.</param>
     /// <param name="description">An optional description of the resource.</param>
@@ -133,10 +129,6 @@ public sealed class AgentInlineSkill : AgentSkill
     /// Registers a dynamic resource with this skill, backed by a C# delegate.
     /// The delegate's parameters and return type are automatically marshaled via <c>AIFunctionFactory</c>.
     /// </summary>
-    /// <remarks>
-    /// Resources are not automatically included in the skill body.
-    /// To enable discovery, reference the resource by name in the skill's instructions or in another resource.
-    /// </remarks>
     /// <param name="name">The resource name.</param>
     /// <param name="method">A method that produces the resource value when requested.</param>
     /// <param name="description">An optional description of the resource.</param>
@@ -155,10 +147,6 @@ public sealed class AgentInlineSkill : AgentSkill
     /// Registers a script with this skill, backed by a C# delegate.
     /// The delegate's parameters and return type are automatically marshaled via <c>AIFunctionFactory</c>.
     /// </summary>
-    /// <remarks>
-    /// Only the script's parameter schema is included in the skill body (as a <c>&lt;script_schemas&gt;</c> block).
-    /// To enable discovery, reference the script by name in the skill's instructions or in a resource.
-    /// </remarks>
     /// <param name="name">The script name.</param>
     /// <param name="method">A method to execute when the script is invoked.</param>
     /// <param name="description">An optional description of the script.</param>

dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillContentBuilder.cs

@@ -12,17 +12,19 @@ namespace Microsoft.Agents.AI;
 internal static class AgentInlineSkillContentBuilder
 {
     /// <summary>
-    /// Builds the complete skill content containing name, description, instructions, and script parameter schemas.
+    /// Builds the complete skill content containing name, description, instructions, resources, and scripts.
     /// </summary>
     /// <param name="name">The skill name.</param>
     /// <param name="description">The skill description.</param>
     /// <param name="instructions">The raw instructions text.</param>
+    /// <param name="resources">Optional resources associated with the skill.</param>
     /// <param name="scripts">Optional scripts associated with the skill.</param>
     /// <returns>An XML-structured content string.</returns>
     public static string Build(
         string name,
         string description,
         string instructions,
+        IReadOnlyList<AgentSkillResource>? resources,
         IReadOnlyList<AgentSkillScript>? scripts)
     {
         _ = Throw.IfNullOrWhitespace(name);
@@ -37,24 +39,41 @@ internal static class AgentInlineSkillContentBuilder
         .Append(EscapeXmlString(instructions))
         .Append("\n</instructions>");
 
+        if (resources is { Count: > 0 })
+        {
+            sb.Append("\n\n<resources>\n");
+            foreach (var resource in resources)
+            {
+                if (resource.Description is not null)
+                {
+                    sb.Append($"  <resource name=\"{EscapeXmlString(resource.Name)}\" description=\"{EscapeXmlString(resource.Description)}\"/>\n");
+                }
+                else
+                {
+                    sb.Append($"  <resource name=\"{EscapeXmlString(resource.Name)}\"/>\n");
+                }
+            }
+
+            sb.Append("</resources>");
+        }
+
         if (scripts is { Count: > 0 })
         {
             sb.Append('\n');
-            sb.Append(BuildScriptSchemasBlock(scripts));
+            sb.Append(BuildScriptsBlock(scripts));
         }
 
         return sb.ToString();
     }
 
     /// <summary>
-    /// Builds a <c>&lt;script_schemas&gt;...&lt;/script_schemas&gt;</c> XML block for the given scripts.
-    /// Each script is emitted as a <c>&lt;schema script="..."&gt;</c> element containing only
-    /// the parameter schema. This block serves as a reference for the model to know how to
-    /// format arguments when calling scripts, not as a discovery mechanism.
+    /// Builds a <c>&lt;scripts&gt;...&lt;/scripts&gt;</c> XML block for the given scripts.
+    /// Each script is emitted as a <c>&lt;script name="..."&gt;</c> element with optional
+    /// <c>description</c> attribute and <c>&lt;parameters_schema&gt;</c> child element.
     /// </summary>
     /// <param name="scripts">The scripts to include in the block.</param>
-    /// <returns>An XML string starting with <c>\n&lt;script_schemas&gt;</c>, or an empty string if the list is empty.</returns>
-    public static string BuildScriptSchemasBlock(IReadOnlyList<AgentSkillScript> scripts)
+    /// <returns>An XML string starting with <c>\n&lt;scripts&gt;</c>, or an empty string if the list is empty.</returns>
+    public static string BuildScriptsBlock(IReadOnlyList<AgentSkillScript> scripts)
     {
         _ = Throw.IfNull(scripts);
 
@@ -64,23 +83,32 @@ internal static class AgentInlineSkillContentBuilder
         }
 
         var sb = new StringBuilder();
-        sb.Append("\n<script_schemas>\n");
+        sb.Append("\n<scripts>\n");
 
         foreach (var script in scripts)
         {
             var parametersSchema = script.ParametersSchema;
 
-            if (parametersSchema is null)
+            if (script.Description is null && parametersSchema is null)
             {
-                sb.Append($"  <schema script=\"{EscapeXmlString(script.Name)}\"/>\n");
+                sb.Append($"  <script name=\"{EscapeXmlString(script.Name)}\"/>\n");
             }
             else
             {
-                sb.Append($"  <schema script=\"{EscapeXmlString(script.Name)}\">{EscapeXmlString(parametersSchema.Value.GetRawText(), preserveQuotes: true)}</schema>\n");
+                sb.Append(script.Description is not null
+                    ? $"  <script name=\"{EscapeXmlString(script.Name)}\" description=\"{EscapeXmlString(script.Description)}\">\n"
+                    : $"  <script name=\"{EscapeXmlString(script.Name)}\">\n");
+
+                if (parametersSchema is not null)
+                {
+                    sb.Append($"    <parameters_schema>{EscapeXmlString(parametersSchema.Value.GetRawText(), preserveQuotes: true)}</parameters_schema>\n");
+                }
+
+                sb.Append("  </script>\n");
             }
         }
 
-        sb.Append("</script_schemas>");
+        sb.Append("</scripts>");
 
         return sb.ToString();
     }

dotnet/tests/Foundry.Hosting.IntegrationTests/scripts/it-bootstrap-agents.ps1

@@ -6,11 +6,11 @@
 .DESCRIPTION
   The IT fixture targets stable, scenario-keyed agent names (e.g. it-happy-path) and only
   manages versions on each test run. The agent itself must already exist AND its managed
-  identity must hold the Foundry User role on the project scope, otherwise inbound
+  identity must hold the Azure AI User role on the project scope, otherwise inbound
   inference calls fail with HTTP 500 PermissionDenied.
 
   This script idempotently creates each scenario agent (with a placeholder version) and
-  grants Foundry User on the project to its managed identity. Re-run it safely; existing
+  grants Azure AI User on the project to its managed identity. Re-run it safely; existing
   agents and role assignments are left in place.
 
 .PARAMETER ProjectEndpoint
@@ -135,20 +135,20 @@ foreach ($scenario in $Scenarios) {
             -Body $patchBody | Out-Null
     }
 
-    # 3. Grant Foundry User on the project scope to the agent MI (idempotent).
+    # 3. Grant Azure AI User on the project scope to the agent MI (idempotent).
     $existing = az role assignment list --assignee $principalId --scope $projectScope `
-        --query "[?roleDefinitionName=='Foundry User']" 2>$null | ConvertFrom-Json
+        --query "[?roleDefinitionName=='Azure AI User']" 2>$null | ConvertFrom-Json
     if ($existing) {
         Write-Host "  role already assigned"
     } else {
-        Write-Host "  granting Foundry User..."
+        Write-Host "  granting Azure AI User..."
         $maxAttempts = 12
         $granted = $false
         for ($i = 1; $i -le $maxAttempts; $i++) {
             $output = az role assignment create `
                 --assignee-object-id $principalId `
                 --assignee-principal-type ServicePrincipal `
-                --role 'Foundry User' `
+                --role 'Azure AI User' `
                 --scope $projectScope 2>&1
             if ($LASTEXITCODE -eq 0) {
                 $granted = $true

dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/AgentResponseTests.cs

@@ -222,42 +222,6 @@ public class AgentResponseTests
         Assert.Equal(100, usageContent.Details.TotalTokenCount);
     }
 
-    [Fact]
-    public void ToAgentResponseUpdatesPropagatesCreatedAt()
-    {
-        // Sets different CreatedAt values on the AgentResponse and the ChatMessage to verify that the ChatMessage.CreatedAt is the one that gets propagated to the AgentResponseUpdate
-        AgentResponse response = new(new ChatMessage(new ChatRole("customRole"), "Text") { MessageId = "someMessage", CreatedAt = new DateTimeOffset(2024, 11, 11, 9, 20, 0, TimeSpan.Zero) })
-        {
-            AgentId = "agentId",
-            ResponseId = "12345",
-            CreatedAt = new DateTimeOffset(2024, 11, 10, 9, 20, 0, TimeSpan.Zero),
-            AdditionalProperties = new() { ["key1"] = "value1", ["key2"] = 42 },
-            Usage = new UsageDetails
-            {
-                TotalTokenCount = 100
-            },
-        };
-
-        AgentResponseUpdate[] updates = response.ToAgentResponseUpdates();
-        Assert.NotNull(updates);
-        Assert.Equal(2, updates.Length);
-
-        AgentResponseUpdate update0 = updates[0];
-        Assert.Equal("agentId", update0.AgentId);
-        Assert.Equal("12345", update0.ResponseId);
-        Assert.Equal("someMessage", update0.MessageId);
-        Assert.Equal(new DateTimeOffset(2024, 11, 11, 9, 20, 0, TimeSpan.Zero), update0.CreatedAt);
-        Assert.Equal("customRole", update0.Role?.Value);
-        Assert.Equal("Text", update0.Text);
-
-        AgentResponseUpdate update1 = updates[1];
-        Assert.Equal("value1", update1.AdditionalProperties?["key1"]);
-        Assert.Equal(42, update1.AdditionalProperties?["key2"]);
-        Assert.IsType<UsageContent>(update1.Contents[0]);
-        UsageContent usageContent = (UsageContent)update1.Contents[0];
-        Assert.Equal(100, usageContent.Details.TotalTokenCount);
-    }
-
     [Fact]
     public void ParseAsStructuredOutputWithJSOSuccess()
     {

dotnet/tests/Microsoft.Agents.AI.DevUI.UnitTests/Properties/launchSettings.json

@@ -0,0 +1,12 @@
+{
+  "profiles": {
+    "Microsoft.Agents.AI.DevUI.UnitTests": {
+      "commandName": "Project",
+      "launchBrowser": true,
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      },
+      "applicationUrl": "https://localhost:63009;http://localhost:63010"
+    }
+  }
+}

dotnet/tests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests/OutputConverterTests.cs

@@ -704,35 +704,6 @@ public class OutputConverterTests
         Assert.Equal("[{\"id\":1}]", inner);
     }
 
-    // K-06e: Regression — the OutputItemFunctionToolCallOutput must have a populated Id
-    // and a matching wire id on the added/done events. The Foundry storage layer extracts
-    // a partition id from this field and throws "ID cannot be null or empty (Parameter 'id')"
-    // when it is missing.
-    [Fact]
-    public async Task ConvertUpdatesToEventsAsync_FunctionResult_OutputItemHasIdAsync()
-    {
-        var (stream, _) = CreateTestStream();
-        var update = new AgentResponseUpdate { Contents = [new FunctionResultContent("call_1", "sunny")] };
-
-        var events = new List<ResponseStreamEvent>();
-        await foreach (var evt in OutputConverter.ConvertUpdatesToEventsAsync(ToAsync(new[] { update }), stream))
-        {
-            events.Add(evt);
-        }
-
-        var added = Assert.Single(events.OfType<ResponseOutputItemAddedEvent>());
-        var done = Assert.Single(events.OfType<ResponseOutputItemDoneEvent>());
-
-        var addedOutput = Assert.IsType<OutputItemFunctionToolCallOutput>(added.Item);
-        var doneOutput = Assert.IsType<OutputItemFunctionToolCallOutput>(done.Item);
-
-        Assert.False(string.IsNullOrEmpty(addedOutput.Id));
-        Assert.False(string.IsNullOrEmpty(doneOutput.Id));
-        Assert.Equal(addedOutput.Id, doneOutput.Id);
-        Assert.Equal("call_1", addedOutput.CallId);
-        Assert.Equal("call_1", doneOutput.CallId);
-    }
-
     // L-01
     [Fact]
     public async Task ConvertUpdatesToEventsAsync_ExecutorInvokedEvent_EmitsWorkflowActionItemAsync()

dotnet/tests/Microsoft.Agents.AI.Foundry.UnitTests/Microsoft.Agents.AI.Foundry.UnitTests.csproj

@@ -8,8 +8,6 @@
   <ItemGroup>
     <PackageReference Include="Microsoft.Extensions.Logging" />
     <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Core" />
-    <PackageReference Include="System.ClientModel" />
   </ItemGroup>
 
   <ItemGroup>

dotnet/tests/Microsoft.Agents.AI.Harness.UnitTests/HarnessAgentTests.cs

@@ -9,7 +9,6 @@ using System.Threading.Tasks;
 using Microsoft.Agents.AI.Tools.Shell;
 #endif
 using Microsoft.Extensions.AI;
-using Microsoft.Extensions.Logging;
 using Moq;
 
 namespace Microsoft.Agents.AI.UnitTests;
@@ -1461,131 +1460,4 @@ public class HarnessAgentTests
 
     #endregion
 #endif
-
-    #region LoggerFactory and ServiceProvider
-
-    /// <summary>
-    /// Verify that the constructor succeeds when loggerFactory is provided.
-    /// </summary>
-    [Fact]
-    public void Constructor_SucceedsWithLoggerFactory()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var loggerFactory = new Mock<ILoggerFactory>().Object;
-
-        // Act
-        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), loggerFactory);
-
-        // Assert
-        Assert.NotNull(agent);
-    }
-
-    /// <summary>
-    /// Verify that the constructor succeeds when serviceProvider is provided.
-    /// </summary>
-    [Fact]
-    public void Constructor_SucceedsWithServiceProvider()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var services = new Mock<IServiceProvider>().Object;
-
-        // Act
-        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), services: services);
-
-        // Assert
-        Assert.NotNull(agent);
-    }
-
-    /// <summary>
-    /// Verify that the constructor succeeds when both loggerFactory and serviceProvider are provided.
-    /// </summary>
-    [Fact]
-    public void Constructor_SucceedsWithLoggerFactoryAndServiceProvider()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var loggerFactory = new Mock<ILoggerFactory>().Object;
-        var services = new Mock<IServiceProvider>().Object;
-
-        // Act
-        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), loggerFactory, services);
-
-        // Assert
-        Assert.NotNull(agent);
-    }
-
-    /// <summary>
-    /// Verify that AsHarnessAgent extension method accepts loggerFactory and serviceProvider.
-    /// </summary>
-    [Fact]
-    public void AsHarnessAgent_SucceedsWithLoggerFactoryAndServiceProvider()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var loggerFactory = new Mock<ILoggerFactory>().Object;
-        var services = new Mock<IServiceProvider>().Object;
-
-        // Act
-        var agent = chatClient.AsHarnessAgent(TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), loggerFactory, services);
-
-        // Assert
-        Assert.NotNull(agent);
-    }
-
-    /// <summary>
-    /// Verify that ILoggerFactory is threaded to downstream components by confirming CreateLogger is called.
-    /// </summary>
-    [Fact]
-    public void Constructor_LoggerFactoryIsUsedByDownstreamComponents()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var mockLoggerFactory = new Mock<ILoggerFactory>();
-        mockLoggerFactory
-            .Setup(lf => lf.CreateLogger(It.IsAny<string>()))
-            .Returns(new Mock<ILogger>().Object);
-
-        // Act — use options that leave CompactionProvider and AgentSkillsProvider enabled
-        var options = new HarnessAgentOptions
-        {
-            DisableToolApproval = true,
-            DisableOpenTelemetry = true,
-            DisableFileMemory = true,
-            DisableFileAccess = true,
-            DisableWebSearch = true,
-            DisableTodoProvider = true,
-            DisableAgentModeProvider = true,
-        };
-        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options, mockLoggerFactory.Object);
-
-        // Assert — CreateLogger should have been called by one or more downstream components
-        Assert.NotNull(agent);
-        mockLoggerFactory.Verify(lf => lf.CreateLogger(It.IsAny<string>()), Times.AtLeastOnce());
-    }
-
-    /// <summary>
-    /// Verify that IServiceProvider is propagated through the agent pipeline by confirming
-    /// it is queried during agent construction.
-    /// </summary>
-    [Fact]
-    public void Constructor_ServiceProviderIsQueriedDuringBuild()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var mockServices = new Mock<IServiceProvider>();
-        mockServices
-            .Setup(sp => sp.GetService(It.IsAny<Type>()))
-            .Returns(null!);
-
-        // Act
-        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), services: mockServices.Object);
-
-        // Assert — the service provider should have been queried during pipeline construction
-        Assert.NotNull(agent);
-        mockServices.Verify(sp => sp.GetService(It.IsAny<Type>()), Times.AtLeastOnce());
-    }
-
-    #endregion
 }

dotnet/tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Properties/launchSettings.json

@@ -0,0 +1,12 @@
+{
+  "profiles": {
+    "Microsoft.Agents.AI.Hosting.A2A.UnitTests": {
+      "commandName": "Project",
+      "launchBrowser": true,
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      },
+      "applicationUrl": "https://localhost:52186;http://localhost:52187"
+    }
+  }
+}

dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Properties/launchSettings.json

@@ -0,0 +1,12 @@
+{
+  "profiles": {
+    "Microsoft.Agents.AI.Hosting.OpenAI.UnitTests": {
+      "commandName": "Project",
+      "launchBrowser": true,
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      },
+      "applicationUrl": "https://localhost:60491;http://localhost:60492"
+    }
+  }
+}

dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentClassSkillTests.cs

@@ -51,8 +51,9 @@ public sealed class AgentClassSkillTests
         // Act & Assert — Content is cached
         Assert.Same(await skill.GetContentAsync(), await skill.GetContentAsync());
 
-        // Act & Assert — Content includes parameter schema from typed script (with preserved quotes)
-        Assert.Contains("\"value\"", await skill.GetContentAsync());
+        // Act & Assert — Content includes parameter schema from typed script
+        Assert.Contains("parameters_schema", await skill.GetContentAsync());
+        Assert.Contains("value", await skill.GetContentAsync());
     }
 
     [Fact]
@@ -382,9 +383,10 @@ public sealed class AgentClassSkillTests
         // Arrange
         var skill = new AttributedFullSkill();
 
-        // Act & Assert — Content no longer includes resources in body; scripts are in script_schemas
-        Assert.DoesNotContain("<resources>", await skill.GetContentAsync());
-        Assert.Contains("<script_schemas>", await skill.GetContentAsync());
+        // Act & Assert — Content includes reflected resources and scripts
+        Assert.Contains("<resources>", await skill.GetContentAsync());
+        Assert.Contains("conversion-table", await skill.GetContentAsync());
+        Assert.Contains("<scripts>", await skill.GetContentAsync());
         Assert.Contains("convert", await skill.GetContentAsync());
 
         // Act & Assert — discovered members are cached
@@ -502,7 +504,7 @@ public sealed class AgentClassSkillTests
     }
 
     [Fact]
-    public async Task Content_DoesNotRenderResources_InBodyAsync()
+    public async Task Content_IncludesDescription_ForReflectedResourcesAsync()
     {
         // Arrange
         var skill = new AttributedResourcePropertiesSkill();
@@ -510,8 +512,8 @@ public sealed class AgentClassSkillTests
         // Act
         var content = await skill.GetContentAsync();
 
-        // Assert — resources are no longer rendered in body content
-        Assert.DoesNotContain("<resources>", content);
+        // Assert — descriptions from [Description] attribute appear in synthesized content
+        Assert.Contains("Some important data.", content);
     }
 
     [Fact]

dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentFileSkillScriptTests.cs

@@ -122,10 +122,11 @@ public sealed class AgentFileSkillScriptTests
 
         // Assert — content starts with original and appends per-script entries
         Assert.StartsWith("Original content", content);
-        Assert.Contains("<script_schemas>", content);
-        Assert.Contains("<schema script=\"build\">", content);
-        Assert.Contains("<schema script=\"deploy\">", content);
-        Assert.Contains("</script_schemas>", content);
+        Assert.Contains("<scripts>", content);
+        Assert.Contains("<script name=\"build\">", content);
+        Assert.Contains("<script name=\"deploy\">", content);
+        Assert.Contains("<parameters_schema>", content);
+        Assert.Contains("</scripts>", content);
     }
 
     [Fact]

dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillTests.cs

@@ -149,7 +149,7 @@ public sealed class AgentInlineSkillTests
     }
 
     [Fact]
-    public async Task Content_DoesNotIncludeResourcesInBodyAsync()
+    public async Task Content_IncludesResourcesAddedBeforeFirstAccessAsync()
     {
         // Arrange
         var skill = new AgentInlineSkill("my-skill", "A valid skill.", "Instructions.");
@@ -158,12 +158,13 @@ public sealed class AgentInlineSkillTests
         // Act
         var content = await skill.GetContentAsync();
 
-        // Assert — resources are no longer rendered in the body; they're accessed via GetResourceAsync
-        Assert.DoesNotContain("<resources>", content);
+        // Assert
+        Assert.Contains("<resources>", content);
+        Assert.Contains("config", content);
     }
 
     [Fact]
-    public async Task Content_DoesNotIncludeDelegateResourcesInBodyAsync()
+    public async Task Content_IncludesDelegateResourcesAddedBeforeFirstAccessAsync()
     {
         // Arrange
         var skill = new AgentInlineSkill("my-skill", "A valid skill.", "Instructions.");
@@ -172,8 +173,9 @@ public sealed class AgentInlineSkillTests
         // Act
         var content = await skill.GetContentAsync();
 
-        // Assert — resources are no longer rendered in the body
-        Assert.DoesNotContain("<resources>", content);
+        // Assert
+        Assert.Contains("<resources>", content);
+        Assert.Contains("dynamic", content);
     }
 
     [Fact]
@@ -187,7 +189,7 @@ public sealed class AgentInlineSkillTests
         var content = await skill.GetContentAsync();
 
         // Assert
-        Assert.Contains("<script_schemas>", content);
+        Assert.Contains("<scripts>", content);
         Assert.Contains("run", content);
     }
 
@@ -207,7 +209,7 @@ public sealed class AgentInlineSkillTests
     }
 
     [Fact]
-    public async Task Content_IncludesScriptSchemasAddedBeforeFirstAccessAsync()
+    public async Task Content_IncludesResourcesAndScriptsAddedBeforeFirstAccessAsync()
     {
         // Arrange
         var skill = new AgentInlineSkill("my-skill", "A valid skill.", "Instructions.");
@@ -218,8 +220,9 @@ public sealed class AgentInlineSkillTests
         var content = await skill.GetContentAsync();
 
         // Assert
-        Assert.DoesNotContain("<resources>", content);
-        Assert.Contains("<script_schemas>", content);
+        Assert.Contains("<resources>", content);
+        Assert.Contains("r1", content);
+        Assert.Contains("<scripts>", content);
         Assert.Contains("s1", content);
     }
 
@@ -233,9 +236,8 @@ public sealed class AgentInlineSkillTests
         // Act
         var content = await skill.GetContentAsync();
 
-        // Assert — JSON schema should be present inside <schema> element (no extra wrapper) with preserved quotes
-        Assert.Contains("<schema script=\"search\">", content);
-        Assert.Contains("\"query\"", content);
+        // Assert — JSON schema should be present and XML content chars escaped
+        Assert.Contains("parameters_schema", content);
         Assert.DoesNotContain("<![CDATA[", content);
     }
 
@@ -427,7 +429,7 @@ public sealed class AgentInlineSkillTests
 
         // Assert
         Assert.DoesNotContain("<resources>", content);
-        Assert.DoesNotContain("<script_schemas>", content);
+        Assert.DoesNotContain("<scripts>", content);
     }
 
     [Fact]
@@ -461,7 +463,7 @@ public sealed class AgentInlineSkillTests
     }
 
     [Fact]
-    public async Task Content_ScriptWithDescription_DoesNotEmitDescriptionAttributeAsync()
+    public async Task Content_ScriptWithDescription_IncludesDescriptionAttributeAsync()
     {
         // Arrange
         var skill = new AgentInlineSkill("my-skill", "A valid skill.", "Instructions.");
@@ -470,10 +472,8 @@ public sealed class AgentInlineSkillTests
         // Act
         var content = await skill.GetContentAsync();
 
-        // Assert — description is no longer emitted in the script_schemas block;
-        // the block only contains parameter schemas for calling scripts.
-        Assert.Contains("<schema script=\"my-script\"", content);
-        Assert.DoesNotContain("description=\"Runs something.\"", content);
+        // Assert
+        Assert.Contains("description=\"Runs something.\"", content);
     }
 
     [Fact]
@@ -492,7 +492,7 @@ public sealed class AgentInlineSkillTests
     }
 
     [Fact]
-    public async Task Content_ResourceWithDescription_NotRenderedInBodyAsync()
+    public async Task Content_ResourceWithDescription_IncludesDescriptionAttributeAsync()
     {
         // Arrange
         var skill = new AgentInlineSkill("my-skill", "A valid skill.", "Instructions.");
@@ -502,10 +502,9 @@ public sealed class AgentInlineSkillTests
         // Act
         var content = await skill.GetContentAsync();
 
-        // Assert — resources are no longer rendered in the body
-        Assert.DoesNotContain("<resources>", content);
-        Assert.DoesNotContain("with-desc", content);
-        Assert.DoesNotContain("no-desc", content);
+        // Assert
+        Assert.Contains("description=\"A described resource.\"", content);
+        Assert.DoesNotContain("no-desc\" description", content);
     }
 
     [Fact]

dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/ObjectModel/InvokeMcpToolExecutorTest.cs

@@ -1,20 +1,15 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using System.Collections.Generic;
-using System.Linq;
-using System.Reflection;
 using System.Threading;
 using System.Threading.Tasks;
 using Microsoft.Agents.AI.Workflows.Declarative.Events;
-using Microsoft.Agents.AI.Workflows.Declarative.Interpreter;
 using Microsoft.Agents.AI.Workflows.Declarative.Kit;
 using Microsoft.Agents.AI.Workflows.Declarative.ObjectModel;
 using Microsoft.Agents.AI.Workflows.Declarative.PowerFx;
 using Microsoft.Agents.ObjectModel;
 using Microsoft.Extensions.AI;
-using Microsoft.PowerFx.Types;
 using Moq;
-using ApprovalSnapshot = Microsoft.Agents.AI.Workflows.Declarative.ObjectModel.InvokeMcpToolExecutor.ApprovalSnapshot;
 
 namespace Microsoft.Agents.AI.Workflows.Declarative.UnitTests.ObjectModel;
 
@@ -295,151 +290,6 @@ public sealed class InvokeMcpToolExecutorTest(ITestOutputHelper output) : Workfl
         await this.ExecuteTestAsync(model);
     }
 
-    [Fact]
-    public async Task InvokeMcpToolApprovalRequestExcludesTransportHeadersAsync()
-    {
-        // Arrange
-        this.State.InitializeSystem();
-        InvokeMcpTool model = this.CreateModel(
-            displayName: nameof(InvokeMcpToolApprovalRequestExcludesTransportHeadersAsync),
-            serverUrl: TestServerUrl,
-            serverLabel: TestServerLabel,
-            toolName: TestToolName,
-            requireApproval: true,
-            headerKey: "Authorization",
-            headerValue: "Bearer super-secret-token");
-        MockMcpToolProvider mockProvider = new();
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        ExternalInputRequest? capturedRequest = null;
-
-        // Act
-        await this.ExecuteAsync(
-            [
-                action,
-                new DelegateActionExecutor<ExternalInputRequest>(
-                    InvokeMcpToolExecutor.Steps.ExternalInput(action.Id),
-                    this.State,
-                    CaptureRequestAsync)
-            ],
-            isDiscrete: false);
-
-        // Assert - the approval event must not carry any transport headers (e.g. Authorization).
-        Assert.NotNull(capturedRequest);
-        ToolApprovalRequestContent approvalRequest =
-            capturedRequest!.AgentResponse.Messages
-                .SelectMany(message => message.Contents)
-                .OfType<ToolApprovalRequestContent>()
-                .Single();
-
-        AdditionalPropertiesDictionary? additionalProperties = approvalRequest.ToolCall.AdditionalProperties;
-        Assert.True(additionalProperties is null || additionalProperties.Count == 0);
-
-        // Defense in depth: the credential value must not appear anywhere in the serialized approval content.
-        string serializedApproval = System.Text.Json.JsonSerializer.Serialize(capturedRequest.AgentResponse);
-        Assert.DoesNotContain("super-secret-token", serializedApproval);
-
-        ValueTask CaptureRequestAsync(IWorkflowContext context, ExternalInputRequest request, CancellationToken cancellationToken)
-        {
-            capturedRequest = request;
-            return default;
-        }
-    }
-
-    [Fact]
-    public async Task InvokeMcpToolInvocationForwardsHeadersToTransportAsync()
-    {
-        // Arrange
-        this.State.InitializeSystem();
-        const string HeaderKey = "Authorization";
-        const string HeaderValue = "Bearer super-secret-token";
-        InvokeMcpTool model = this.CreateModel(
-            displayName: nameof(InvokeMcpToolInvocationForwardsHeadersToTransportAsync),
-            serverUrl: TestServerUrl,
-            serverLabel: TestServerLabel,
-            toolName: TestToolName,
-            requireApproval: false,
-            headerKey: HeaderKey,
-            headerValue: HeaderValue);
-
-        IDictionary<string, string>? capturedHeaders = null;
-        Mock<IMcpToolHandler> mockProvider = new();
-        mockProvider
-            .Setup(provider => provider.InvokeToolAsync(
-                It.IsAny<string>(),
-                It.IsAny<string?>(),
-                It.IsAny<string>(),
-                It.IsAny<IDictionary<string, object?>?>(),
-                It.IsAny<IDictionary<string, string>?>(),
-                It.IsAny<string?>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<string, string?, string, IDictionary<string, object?>?, IDictionary<string, string>?, string?, CancellationToken>(
-                (_, _, _, _, headers, _, _) => capturedHeaders = headers)
-            .ReturnsAsync(new McpServerToolResultContent("mock-call-id") { Outputs = [new TextContent("ok")] });
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        // Act
-        await this.ExecuteAsync(action, isDiscrete: false);
-
-        // Assert - headers remain available to the actual transport invocation.
-        Assert.NotNull(capturedHeaders);
-        Assert.True(capturedHeaders!.TryGetValue(HeaderKey, out string? forwardedValue));
-        Assert.Equal(HeaderValue, forwardedValue);
-    }
-
-    [Fact]
-    public async Task InvokeMcpToolApprovedCaptureResponseForwardsHeadersToTransportAsync()
-    {
-        // Arrange - exercises the post-approval CaptureResponseAsync resume path to prove the
-        // fix did not regress header forwarding on the path that the vulnerability actually targets.
-        this.State.InitializeSystem();
-        const string HeaderKey = "Authorization";
-        const string HeaderValue = "Bearer super-secret-token";
-        InvokeMcpTool model = this.CreateModel(
-            displayName: nameof(InvokeMcpToolApprovedCaptureResponseForwardsHeadersToTransportAsync),
-            serverUrl: TestServerUrl,
-            serverLabel: TestServerLabel,
-            toolName: TestToolName,
-            requireApproval: true,
-            headerKey: HeaderKey,
-            headerValue: HeaderValue);
-
-        IDictionary<string, string>? capturedHeaders = null;
-        Mock<IMcpToolHandler> mockProvider = new();
-        mockProvider
-            .Setup(provider => provider.InvokeToolAsync(
-                It.IsAny<string>(),
-                It.IsAny<string?>(),
-                It.IsAny<string>(),
-                It.IsAny<IDictionary<string, object?>?>(),
-                It.IsAny<IDictionary<string, string>?>(),
-                It.IsAny<string?>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<string, string?, string, IDictionary<string, object?>?, IDictionary<string, string>?, string?, CancellationToken>(
-                (_, _, _, _, headers, _, _) => capturedHeaders = headers)
-            .ReturnsAsync(new McpServerToolResultContent("mock-call-id") { Outputs = [new TextContent("ok")] });
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        Mock<IWorkflowContext> mockContext = new(MockBehavior.Loose);
-
-        // Build an approved response matching this action's request id.
-        McpServerToolCallContent toolCall = new(action.Id, TestToolName, TestServerLabel);
-        ToolApprovalRequestContent approvalRequest = new(action.Id, toolCall);
-        ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved: true);
-        ExternalInputResponse response = new(new ChatMessage(ChatRole.User, [approvalResponse]));
-
-        // Act - call CaptureResponseAsync directly so the post-approval branch actually executes.
-        await action.CaptureResponseAsync(mockContext.Object, response, CancellationToken.None);
-
-        // Assert - headers reach the transport invocation on the approved path.
-        Assert.NotNull(capturedHeaders);
-        Assert.True(capturedHeaders!.TryGetValue(HeaderKey, out string? forwardedValue));
-        Assert.Equal(HeaderValue, forwardedValue);
-    }
-
     [Fact]
     public async Task InvokeMcpToolExecuteWithEmptyHeaderValueAsync()
     {
@@ -845,313 +695,6 @@ public sealed class InvokeMcpToolExecutorTest(ITestOutputHelper output) : Workfl
 
     #endregion
 
-    #region Approval Snapshot Security Tests
-
-    /// <summary>
-    /// Verifies that mutating the tool name variable after approval does not change
-    /// which tool is actually invoked. The originally-approved tool name must be used.
-    /// </summary>
-    [Fact]
-    public async Task InvokeMcpToolCaptureResponseUsesApprovedToolNameNotMutatedAsync()
-    {
-        // Arrange
-        const string ApprovedToolName = "safe_readonly_query";
-        const string MutatedToolName = "dangerous_admin_tool";
-
-        this.State.Set("TargetTool", FormulaValue.New(ApprovedToolName));
-        this.State.InitializeSystem();
-        this.State.Bind();
-
-        InvokeMcpTool model = this.CreateModelWithVariableToolName(
-            displayName: nameof(InvokeMcpToolCaptureResponseUsesApprovedToolNameNotMutatedAsync),
-            serverUrl: TestServerUrl,
-            variableName: "TargetTool");
-
-        string? capturedToolName = null;
-        Mock<IMcpToolHandler> mockProvider = new();
-        mockProvider.Setup(provider => provider.InvokeToolAsync(
-                It.IsAny<string>(),
-                It.IsAny<string?>(),
-                It.IsAny<string>(),
-                It.IsAny<IDictionary<string, object?>?>(),
-                It.IsAny<IDictionary<string, string>?>(),
-                It.IsAny<string?>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<string, string?, string, IDictionary<string, object?>?, IDictionary<string, string>?, string?, CancellationToken>(
-                (_, _, toolName, _, _, _, _) => capturedToolName = toolName)
-            .ReturnsAsync(new McpServerToolResultContent("capture-call-id")
-            {
-                Outputs = [new TextContent("result")]
-            });
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        // Act - trigger ExecuteAsync to store the approval snapshot
-        Mock<IWorkflowContext> mockContext = CreateMockWorkflowContext();
-        await action.HandleAsync(new ActionExecutorResult(action.Id), mockContext.Object, CancellationToken.None);
-
-        // Simulate parallel branch mutating state during the approval window
-        this.State.Set("TargetTool", FormulaValue.New(MutatedToolName));
-        this.State.Bind();
-
-        // User clicks approve (they saw "safe_readonly_query" in the approval UI)
-        McpServerToolCallContent toolCall = new(action.Id, ApprovedToolName, TestServerUrl);
-        ToolApprovalRequestContent approvalRequest = new(action.Id, toolCall);
-        ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved: true);
-        ExternalInputResponse response = new(new ChatMessage(ChatRole.User, [approvalResponse]));
-
-        // Resume after approval
-        await action.CaptureResponseAsync(mockContext.Object, response, CancellationToken.None);
-
-        // Assert - the originally-approved tool name must be used, not the mutated one
-        Assert.NotNull(capturedToolName);
-        Assert.Equal(ApprovedToolName, capturedToolName);
-    }
-
-    /// <summary>
-    /// Verifies that mutating an argument variable after approval does not change
-    /// the arguments actually passed to the MCP tool. The originally-approved arguments must be used.
-    /// </summary>
-    [Fact]
-    public async Task InvokeMcpToolCaptureResponseUsesApprovedArgumentsNotMutatedAsync()
-    {
-        // Arrange
-        const string ApprovedQuery = "SELECT * FROM users LIMIT 10";
-        const string MutatedQuery = "DROP TABLE users CASCADE; --";
-
-        this.State.Set("SqlQuery", FormulaValue.New(ApprovedQuery));
-        this.State.InitializeSystem();
-        this.State.Bind();
-
-        InvokeMcpTool model = this.CreateModelWithVariableArgument(
-            displayName: nameof(InvokeMcpToolCaptureResponseUsesApprovedArgumentsNotMutatedAsync),
-            serverUrl: TestServerUrl,
-            toolName: TestToolName,
-            argumentKey: "query",
-            variableName: "SqlQuery");
-
-        IDictionary<string, object?>? capturedArguments = null;
-        Mock<IMcpToolHandler> mockProvider = new();
-        mockProvider.Setup(provider => provider.InvokeToolAsync(
-                It.IsAny<string>(),
-                It.IsAny<string?>(),
-                It.IsAny<string>(),
-                It.IsAny<IDictionary<string, object?>?>(),
-                It.IsAny<IDictionary<string, string>?>(),
-                It.IsAny<string?>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<string, string?, string, IDictionary<string, object?>?, IDictionary<string, string>?, string?, CancellationToken>(
-                (_, _, _, arguments, _, _, _) => capturedArguments = arguments)
-            .ReturnsAsync(new McpServerToolResultContent("capture-call-id")
-            {
-                Outputs = [new TextContent("result")]
-            });
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        // Act - trigger ExecuteAsync to store the approval snapshot
-        Mock<IWorkflowContext> mockContext = CreateMockWorkflowContext();
-        await action.HandleAsync(new ActionExecutorResult(action.Id), mockContext.Object, CancellationToken.None);
-
-        // Simulate parallel branch mutating state during the approval window
-        this.State.Set("SqlQuery", FormulaValue.New(MutatedQuery));
-        this.State.Bind();
-
-        // User clicks approve
-        McpServerToolCallContent toolCall = new(action.Id, TestToolName, TestServerUrl);
-        ToolApprovalRequestContent approvalRequest = new(action.Id, toolCall);
-        ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved: true);
-        ExternalInputResponse response = new(new ChatMessage(ChatRole.User, [approvalResponse]));
-
-        // Resume after approval
-        await action.CaptureResponseAsync(mockContext.Object, response, CancellationToken.None);
-
-        // Assert - the originally-approved argument must be used, not the mutated one
-        Assert.NotNull(capturedArguments);
-        Assert.Equal(ApprovedQuery, capturedArguments["query"]?.ToString());
-    }
-
-    /// <summary>
-    /// Verifies that mutating the server URL variable after approval does not redirect
-    /// the MCP tool call to a different server. The originally-approved server URL must be used.
-    /// </summary>
-    [Fact]
-    public async Task InvokeMcpToolCaptureResponseUsesApprovedServerUrlNotMutatedAsync()
-    {
-        // Arrange
-        const string ApprovedServerUrl = "https://internal-mcp.corp";
-        const string MutatedServerUrl = "https://attacker.evil/steal";
-
-        this.State.Set("McpEndpoint", FormulaValue.New(ApprovedServerUrl));
-        this.State.InitializeSystem();
-        this.State.Bind();
-
-        InvokeMcpTool model = this.CreateModelWithVariableServerUrl(
-            displayName: nameof(InvokeMcpToolCaptureResponseUsesApprovedServerUrlNotMutatedAsync),
-            variableName: "McpEndpoint",
-            toolName: TestToolName);
-
-        string? capturedServerUrl = null;
-        Mock<IMcpToolHandler> mockProvider = new();
-        mockProvider.Setup(provider => provider.InvokeToolAsync(
-                It.IsAny<string>(),
-                It.IsAny<string?>(),
-                It.IsAny<string>(),
-                It.IsAny<IDictionary<string, object?>?>(),
-                It.IsAny<IDictionary<string, string>?>(),
-                It.IsAny<string?>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<string, string?, string, IDictionary<string, object?>?, IDictionary<string, string>?, string?, CancellationToken>(
-                (serverUrl, _, _, _, _, _, _) => capturedServerUrl = serverUrl)
-            .ReturnsAsync(new McpServerToolResultContent("capture-call-id")
-            {
-                Outputs = [new TextContent("result")]
-            });
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        // Act - trigger ExecuteAsync to store the approval snapshot
-        Mock<IWorkflowContext> mockContext = CreateMockWorkflowContext();
-        await action.HandleAsync(new ActionExecutorResult(action.Id), mockContext.Object, CancellationToken.None);
-
-        // Simulate parallel branch mutating state during the approval window
-        this.State.Set("McpEndpoint", FormulaValue.New(MutatedServerUrl));
-        this.State.Bind();
-
-        // User clicks approve
-        McpServerToolCallContent toolCall = new(action.Id, TestToolName, ApprovedServerUrl);
-        ToolApprovalRequestContent approvalRequest = new(action.Id, toolCall);
-        ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved: true);
-        ExternalInputResponse response = new(new ChatMessage(ChatRole.User, [approvalResponse]));
-
-        // Resume after approval
-        await action.CaptureResponseAsync(mockContext.Object, response, CancellationToken.None);
-
-        // Assert - the originally-approved server URL must be used, not the mutated one
-        Assert.NotNull(capturedServerUrl);
-        Assert.Equal(ApprovedServerUrl, capturedServerUrl);
-    }
-
-    /// <summary>
-    /// Verifies that the approval snapshot survives a checkpoint/restore cycle.
-    /// After restore, the originally-approved tool name must still be used even if state was mutated.
-    /// </summary>
-    [Fact]
-    public async Task InvokeMcpToolCaptureResponseUsesSnapshotAfterCheckpointRestoreAsync()
-    {
-        // Arrange
-        const string ApprovedToolName = "safe_readonly_query";
-        const string MutatedToolName = "dangerous_admin_tool";
-
-        this.State.Set("TargetTool", FormulaValue.New(ApprovedToolName));
-        this.State.InitializeSystem();
-        this.State.Bind();
-
-        InvokeMcpTool model = this.CreateModelWithVariableToolName(
-            displayName: nameof(InvokeMcpToolCaptureResponseUsesSnapshotAfterCheckpointRestoreAsync),
-            serverUrl: TestServerUrl,
-            variableName: "TargetTool");
-
-        string? capturedToolName = null;
-        Mock<IMcpToolHandler> mockProvider = new();
-        mockProvider.Setup(provider => provider.InvokeToolAsync(
-                It.IsAny<string>(),
-                It.IsAny<string?>(),
-                It.IsAny<string>(),
-                It.IsAny<IDictionary<string, object?>?>(),
-                It.IsAny<IDictionary<string, string>?>(),
-                It.IsAny<string?>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<string, string?, string, IDictionary<string, object?>?, IDictionary<string, string>?, string?, CancellationToken>(
-                (_, _, toolName, _, _, _, _) => capturedToolName = toolName)
-            .ReturnsAsync(new McpServerToolResultContent("capture-call-id")
-            {
-                Outputs = [new TextContent("result")]
-            });
-        MockAgentProvider mockAgentProvider = new();
-        InvokeMcpToolExecutor action = new(model, mockProvider.Object, mockAgentProvider.Object, this.State);
-
-        // Act - trigger ExecuteAsync to store the approval snapshot
-        Mock<IWorkflowContext> mockContext = CreateMockWorkflowContextWithStateStore();
-        await action.HandleAsync(new ActionExecutorResult(action.Id), mockContext.Object, CancellationToken.None);
-
-        // Simulate checkpoint: persist to state store
-        await InvokeProtectedMethodAsync(action, "OnCheckpointingAsync", mockContext.Object, CancellationToken.None);
-
-        // Simulate restore on a "new" executor instance by clearing the in-memory field via reflection
-        // (In production, a new executor instance would be created with _approvalSnapshot == null)
-        typeof(InvokeMcpToolExecutor)
-            .GetField("_approvalSnapshot", BindingFlags.NonPublic | BindingFlags.Instance)!
-            .SetValue(action, null);
-
-        // Restore from state store
-        await InvokeProtectedMethodAsync(action, "OnCheckpointRestoredAsync", mockContext.Object, CancellationToken.None);
-
-        // Mutate state after restore (simulating parallel branch)
-        this.State.Set("TargetTool", FormulaValue.New(MutatedToolName));
-        this.State.Bind();
-
-        // User clicks approve
-        McpServerToolCallContent toolCall = new(action.Id, ApprovedToolName, TestServerUrl);
-        ToolApprovalRequestContent approvalRequest = new(action.Id, toolCall);
-        ToolApprovalResponseContent approvalResponse = approvalRequest.CreateResponse(approved: true);
-        ExternalInputResponse response = new(new ChatMessage(ChatRole.User, [approvalResponse]));
-
-        // Resume after approval
-        await action.CaptureResponseAsync(mockContext.Object, response, CancellationToken.None);
-
-        // Assert - the originally-approved tool name must be used, not the mutated one
-        Assert.NotNull(capturedToolName);
-        Assert.Equal(ApprovedToolName, capturedToolName);
-    }
-
-    private static Mock<IWorkflowContext> CreateMockWorkflowContext()
-    {
-        Mock<IWorkflowContext> mockContext = new();
-        mockContext.Setup(c => c.AddEventAsync(It.IsAny<WorkflowEvent>(), It.IsAny<CancellationToken>()))
-            .Returns(default(ValueTask));
-        mockContext.Setup(c => c.QueueStateUpdateAsync(It.IsAny<string>(), It.IsAny<object?>(), It.IsAny<string?>(), It.IsAny<CancellationToken>()))
-            .Returns(default(ValueTask));
-        mockContext.Setup(c => c.SendMessageAsync(It.IsAny<object>(), It.IsAny<string?>(), It.IsAny<CancellationToken>()))
-            .Returns(default(ValueTask));
-        return mockContext;
-    }
-
-    /// <summary>
-    /// Creates a mock workflow context that actually stores state values (for checkpoint/restore tests).
-    /// </summary>
-    private static Mock<IWorkflowContext> CreateMockWorkflowContextWithStateStore()
-    {
-        Dictionary<string, object?> stateStore = new();
-        Mock<IWorkflowContext> mockContext = new();
-        mockContext.Setup(c => c.AddEventAsync(It.IsAny<WorkflowEvent>(), It.IsAny<CancellationToken>()))
-            .Returns(default(ValueTask));
-        mockContext.Setup(c => c.QueueStateUpdateAsync(It.IsAny<string>(), It.IsAny<ApprovalSnapshot?>(), It.IsAny<string?>(), It.IsAny<CancellationToken>()))
-            .Callback<string, ApprovalSnapshot?, string?, CancellationToken>((key, value, _, _) => stateStore[key] = value)
-            .Returns(default(ValueTask));
-        mockContext.Setup(c => c.SendMessageAsync(It.IsAny<object>(), It.IsAny<string?>(), It.IsAny<CancellationToken>()))
-            .Returns(default(ValueTask));
-        mockContext.Setup(c => c.ReadStateAsync<ApprovalSnapshot>(It.IsAny<string>(), It.IsAny<string?>(), It.IsAny<CancellationToken>()))
-            .Returns<string, string?, CancellationToken>((key, _, _) =>
-                new ValueTask<ApprovalSnapshot?>(stateStore.TryGetValue(key, out object? val) ? val as ApprovalSnapshot : null));
-        mockContext.Setup(c => c.ReadStateKeysAsync(It.IsAny<string?>(), It.IsAny<CancellationToken>()))
-            .ReturnsAsync(new HashSet<string>());
-        return mockContext;
-    }
-
-    /// <summary>
-    /// Invokes a protected method on an executor via reflection (for testing checkpoint hooks).
-    /// </summary>
-    private static async ValueTask InvokeProtectedMethodAsync(InvokeMcpToolExecutor action, string methodName, IWorkflowContext context, CancellationToken cancellationToken)
-    {
-        MethodInfo method = typeof(InvokeMcpToolExecutor)
-            .GetMethod(methodName, BindingFlags.NonPublic | BindingFlags.Instance)!;
-        ValueTask result = (ValueTask)method.Invoke(action, [context, cancellationToken])!;
-        await result.ConfigureAwait(false);
-    }
-
-    #endregion
-
     #region CompleteAsync Tests
 
     [Fact]
@@ -1261,50 +804,6 @@ public sealed class InvokeMcpToolExecutorTest(ITestOutputHelper output) : Workfl
         return AssignParent<InvokeMcpTool>(builder);
     }
 
-    private InvokeMcpTool CreateModelWithVariableToolName(string displayName, string serverUrl, string variableName)
-    {
-        InvokeMcpTool.Builder builder = new()
-        {
-            Id = this.CreateActionId(),
-            DisplayName = this.FormatDisplayName(displayName),
-            ServerUrl = new StringExpression.Builder(StringExpression.Literal(serverUrl)),
-            ToolName = new StringExpression.Builder(
-                StringExpression.Variable(PropertyPath.TopicVariable(variableName))),
-            RequireApproval = new BoolExpression.Builder(BoolExpression.Literal(true)),
-        };
-        return AssignParent<InvokeMcpTool>(builder);
-    }
-
-    private InvokeMcpTool CreateModelWithVariableArgument(
-        string displayName, string serverUrl, string toolName, string argumentKey, string variableName)
-    {
-        InvokeMcpTool.Builder builder = new()
-        {
-            Id = this.CreateActionId(),
-            DisplayName = this.FormatDisplayName(displayName),
-            ServerUrl = new StringExpression.Builder(StringExpression.Literal(serverUrl)),
-            ToolName = new StringExpression.Builder(StringExpression.Literal(toolName)),
-            RequireApproval = new BoolExpression.Builder(BoolExpression.Literal(true)),
-        };
-        builder.Arguments.Add(argumentKey,
-            ValueExpression.Variable(PropertyPath.TopicVariable(variableName)));
-        return AssignParent<InvokeMcpTool>(builder);
-    }
-
-    private InvokeMcpTool CreateModelWithVariableServerUrl(string displayName, string variableName, string toolName)
-    {
-        InvokeMcpTool.Builder builder = new()
-        {
-            Id = this.CreateActionId(),
-            DisplayName = this.FormatDisplayName(displayName),
-            ServerUrl = new StringExpression.Builder(
-                StringExpression.Variable(PropertyPath.TopicVariable(variableName))),
-            ToolName = new StringExpression.Builder(StringExpression.Literal(toolName)),
-            RequireApproval = new BoolExpression.Builder(BoolExpression.Literal(true)),
-        };
-        return AssignParent<InvokeMcpTool>(builder);
-    }
-
     #endregion
 
     #region Mock MCP Tool Provider

dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/MagenticOrchestrationTests.cs

@@ -361,64 +361,6 @@ public class MagenticOrchestrationTests
         runResult.Result![0].Text.Should().Contain("Multi-round task completed!");
     }
 
-    [Fact]
-    public async Task RunCoordinationRound_Forwards_Participant_Reply_To_ManagerAsync()
-    {
-        // Regression: MagenticOrchestrator.TakeTurnAsync used to drop the `messages`
-        // parameter on subsequent turns, so participant replies never reached the
-        // manager's ChatHistory. The manager then re-dispatched the same speaker
-        // every round until MaxRounds. Assert that round-2's progress-ledger call
-        // actually sees the worker's reply in its input.
-
-        const string TaskPrompt = "Echo back this exact magentic-regression-marker";
-
-        List<ChatMessage> factsResponse = CreatePlanResponse("Facts");
-        List<ChatMessage> planResponse = CreatePlanResponse("Plan");
-        List<ChatMessage> round1Ledger = CreateProgressLedgerResponse(
-            isRequestSatisfied: false,
-            isInLoop: false,
-            isProgressBeingMade: true,
-            nextSpeaker: "Worker",
-            instructionOrQuestion: TaskPrompt);
-        List<ChatMessage> round2Ledger = CreateProgressLedgerResponse(
-            isRequestSatisfied: true,
-            isInLoop: false,
-            isProgressBeingMade: true,
-            nextSpeaker: "Worker",
-            instructionOrQuestion: "Done");
-        List<ChatMessage> finalAnswer = CreateFinalAnswerResponse("All good");
-
-        RecordingReplayAgent manager = new(
-            [factsResponse, planResponse, round1Ledger, round2Ledger, finalAnswer],
-            name: "Manager");
-        TestEchoAgent worker = new(name: "Worker");
-
-        Workflow workflow = new MagenticWorkflowBuilder(manager)
-            .AddParticipants(worker)
-            .RequirePlanSignoff(false)
-            .Build();
-
-        WorkflowRunResult runResult = await RunMagenticWorkflowAsync(
-            workflow,
-            [new ChatMessage(ChatRole.User, TaskPrompt)]);
-
-        runResult.Result.Should().NotBeNull();
-        runResult.Result![0].Text.Should().Contain("All good");
-
-        // Calls in order: facts, plan, ledger1, ledger2, finalAnswer.
-        manager.RecordedInputs.Should().HaveCount(5);
-
-        manager.RecordedInputs[3].Should().Contain(
-            m => m.Role == ChatRole.Assistant
-              && m.AuthorName == "Worker"
-              && m.Text.Contains(TaskPrompt),
-            "round-2 progress ledger must see the worker's reply; without it the manager loops to MaxRounds");
-
-        manager.RecordedInputs[4].Should().Contain(
-            m => m.Role == ChatRole.Assistant && m.AuthorName == "Worker",
-            "final-answer synthesis must see what participants actually said");
-    }
-
     [Fact]
     public async Task PlanReview_Revised_Triggers_ReplanAsync()
     {

dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/RecordingReplayAgent.cs

@@ -1,32 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Collections.Generic;
-using System.Linq;
-using System.Runtime.CompilerServices;
-using System.Threading;
-using Microsoft.Extensions.AI;
-
-namespace Microsoft.Agents.AI.Workflows.UnitTests;
-
-/// <summary>
-/// A <see cref="TestReplayAgent"/> that records the input messages it receives on each call.
-/// Used by tests that need to assert what context the agent was actually handed.
-/// </summary>
-internal sealed class RecordingReplayAgent(List<List<ChatMessage>> messages, string? id = null, string? name = null)
-    : TestReplayAgent(messages, id, name)
-{
-    public List<List<ChatMessage>> RecordedInputs { get; } = [];
-
-    protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
-        IEnumerable<ChatMessage> messages,
-        AgentSession? session = null,
-        AgentRunOptions? options = null,
-        [EnumeratorCancellation] CancellationToken cancellationToken = default)
-    {
-        this.RecordedInputs.Add(messages.ToList());
-        await foreach (AgentResponseUpdate update in base.RunCoreStreamingAsync(messages, session, options, cancellationToken))
-        {
-            yield return update;
-        }
-    }
-}

python/CHANGELOG.md

@@ -7,43 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
-## [1.8.0] - 2026-06-04
-
-### Added
-- **agent-framework-core**: Add MCP-based skills discovery (`McpSkillsSource`) ([#6169](https://github.com/microsoft/agent-framework/pull/6169))
-- **agent-framework-core**: Progressive tool exposure via `FunctionInvocationContext` ([#6233](https://github.com/microsoft/agent-framework/pull/6233))
-- **agent-framework-core**: Add background agent support to harness agent ([#6155](https://github.com/microsoft/agent-framework/pull/6155))
-- **agent-framework-core**: Add `AgentFileStore` and `FileAccessProvider` for file access operations ([#6099](https://github.com/microsoft/agent-framework/pull/6099))
-- **agent-framework-core**: Coalesce code interpreter history chunks ([#5801](https://github.com/microsoft/agent-framework/pull/5801))
-- **agent-framework-core**: Run sync tools off the event loop ([#5773](https://github.com/microsoft/agent-framework/pull/5773))
-- **agent-framework-bedrock**: Implement native structured output support via Converse API ([#6052](https://github.com/microsoft/agent-framework/pull/6052))
-- **agent-framework-foundry**: Add Foundry Adaptive Evals integration for rubric-generation ([#6101](https://github.com/microsoft/agent-framework/pull/6101))
-- **agent-framework-foundry**: Add `timeout` parameter to `FoundryAgent` to fix `ConnectTimeout` on multi-turn conversations ([#6263](https://github.com/microsoft/agent-framework/pull/6263))
-- **agent-framework-mistral**: Add Mistral AI embedding client package ([#5480](https://github.com/microsoft/agent-framework/pull/5480))
-- **agent-framework-a2a**: Expose `supported_protocol_bindings` as configurable parameter ([#6098](https://github.com/microsoft/agent-framework/pull/6098))
-- **agent-framework-a2a**: Set `message_id` on `AgentResponseUpdate` for message-bearing paths ([#6163](https://github.com/microsoft/agent-framework/pull/6163))
-- **agent-framework-foundry-hosting**: Persist hosted MCP call/results as canonical `mcp_call` output ([#6070](https://github.com/microsoft/agent-framework/pull/6070))
-
-### Changed
-- **agent-framework-github-copilot**: [BREAKING] Upgrade `github-copilot-sdk` to v1.0.0 (stable) ([#6292](https://github.com/microsoft/agent-framework/pull/6292))
-- **agent-framework-core**: [BREAKING — experimental] Refactor Skill API to async resource and script lookup ([#6135](https://github.com/microsoft/agent-framework/pull/6135))
-- **agent-framework-github-copilot**: Promote to release candidate (`1.0.0rc1`)
-- **agent-framework-declarative**: Promote to release candidate (`1.0.0rc1`) ([#6256](https://github.com/microsoft/agent-framework/pull/6256))
-
-### Fixed
-- **agent-framework-core**: Fix compaction message-id collisions and tool-loop summary persistence ([#6299](https://github.com/microsoft/agent-framework/pull/6299))
-- **agent-framework-core**: Fix observability unsafe serialization of function-call arguments containing dataclass/framework objects ([#6026](https://github.com/microsoft/agent-framework/pull/6026))
-- **agent-framework-core**: Consolidate MCP reliability fixes ([#6145](https://github.com/microsoft/agent-framework/pull/6145))
-- **agent-framework-core**: Backfill chat span request model if unknown and response model is available ([#6160](https://github.com/microsoft/agent-framework/pull/6160))
-- **agent-framework-anthropic**: Skip orphan anthropic thinking signatures ([#5784](https://github.com/microsoft/agent-framework/pull/5784))
-- **agent-framework-foundry**: Fix `FoundryAgent` stripping model from `PromptAgent` requests ([#5526](https://github.com/microsoft/agent-framework/pull/5526))
-- **agent-framework-foundry-hosting**: Fix toolbox consent flow in hosted agent ([#6249](https://github.com/microsoft/agent-framework/pull/6249))
-- **agent-framework-foundry-hosting**: Drop hosted MCP calls when reasoning is stripped ([#6210](https://github.com/microsoft/agent-framework/pull/6210))
-- **agent-framework-openai**: Fix OTLP HTTP base-endpoint losing `/v1/{signal}` auto-append ([#5913](https://github.com/microsoft/agent-framework/pull/5913))
-- **agent-framework-openai**: Drop hosted MCP calls when reasoning is stripped ([#6210](https://github.com/microsoft/agent-framework/pull/6210))
-- **agent-framework-orchestrations**: Fix spurious Magentic custom manager warning ([#6261](https://github.com/microsoft/agent-framework/pull/6261))
-- **agent-framework-azurefunctions**: Fix integration test worker crashes on Py3.13 ([#4260](https://github.com/microsoft/agent-framework/pull/4260))
-
 ## [1.7.0] - 2026-05-28
 
 ### Added
@@ -1169,8 +1132,7 @@ Release candidate for **agent-framework-core** and **agent-framework-azure-ai**
 
 For more information, see the [announcement blog post](https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/).
 
-[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.8.0...HEAD
-[1.8.0]: https://github.com/microsoft/agent-framework/compare/python-1.7.0...python-1.8.0
+[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.7.0...HEAD
 [1.7.0]: https://github.com/microsoft/agent-framework/compare/python-1.6.0...python-1.7.0
 [1.6.0]: https://github.com/microsoft/agent-framework/compare/python-1.5.0...python-1.6.0
 [1.5.0]: https://github.com/microsoft/agent-framework/compare/python-1.4.0...python-1.5.0

python/PACKAGE_STATUS.md

@@ -27,13 +27,13 @@ Status is grouped into these buckets:
 | `agent-framework-claude` | `python/packages/claude` | `beta` |
 | `agent-framework-copilotstudio` | `python/packages/copilotstudio` | `beta` |
 | `agent-framework-core` | `python/packages/core` | `released` |
-| `agent-framework-declarative` | `python/packages/declarative` | `rc` |
+| `agent-framework-declarative` | `python/packages/declarative` | `beta` |
 | `agent-framework-devui` | `python/packages/devui` | `beta` |
 | `agent-framework-durabletask` | `python/packages/durabletask` | `beta` |
 | `agent-framework-foundry` | `python/packages/foundry` | `released` |
 | `agent-framework-foundry-local` | `python/packages/foundry_local` | `beta` |
 | `agent-framework-gemini` | `python/packages/gemini` | `alpha` |
-| `agent-framework-github-copilot` | `python/packages/github_copilot` | `rc` |
+| `agent-framework-github-copilot` | `python/packages/github_copilot` | `beta` |
 | `agent-framework-hyperlight` | `python/packages/hyperlight` | `beta` |
 | `agent-framework-lab` | `python/packages/lab` | `beta` |
 | `agent-framework-mem0` | `python/packages/mem0` | `beta` |
@@ -58,13 +58,6 @@ listed below.
 
 ### Experimental features
 
-#### `DECLARATIVE_AGENTS`
-
-- `agent-framework-declarative`: declarative agent loading APIs from
-  `agent_framework_declarative`, including `AgentFactory`,
-  `DeclarativeLoaderError`, `ProviderLookupError`, and `ProviderTypeMapping`
-  from `agent_framework_declarative/_loader.py`
-
 #### `EVALS`
 
 - `agent-framework-core`: exported evaluation APIs from `agent_framework`, including

python/packages/a2a/agent_framework_a2a/_a2a_executor.py

@@ -2,7 +2,6 @@
 
 import base64
 import logging
-import uuid
 from asyncio import CancelledError
 from collections.abc import Mapping
 from functools import partial
@@ -182,18 +181,9 @@ class A2AExecutor(AgentExecutor):
         """Run the agent in streaming mode and publish updates to the task updater."""
         response_stream = self._agent.run(query, session=session, stream=True, **self._run_kwargs)
         streamed_artifact_ids: set[str] = set()
-        # Generate a stable artifact ID for the entire stream so all chunks share the same ID.
-        # This ensures clients can coalesce streaming tokens into a single artifact/message
-        # per the A2A spec (TaskArtifactUpdateEvent with append=True on same artifactId).
-        default_artifact_id = str(uuid.uuid4())
         await (
             response_stream.with_transform_hook(
-                partial(
-                    self.handle_events,
-                    updater=updater,
-                    streamed_artifact_ids=streamed_artifact_ids,
-                    default_artifact_id=default_artifact_id,
-                )
+                partial(self.handle_events, updater=updater, streamed_artifact_ids=streamed_artifact_ids)
             )
         ).get_final_response()
 
@@ -209,11 +199,7 @@ class A2AExecutor(AgentExecutor):
             await self.handle_events(message, updater)
 
     async def handle_events(
-        self,
-        item: Message | AgentResponseUpdate,
-        updater: TaskUpdater,
-        streamed_artifact_ids: set[str] | None = None,
-        default_artifact_id: str | None = None,
+        self, item: Message | AgentResponseUpdate, updater: TaskUpdater, streamed_artifact_ids: set[str] | None = None
     ) -> None:
         """Convert agent response items (Messages or Updates) to A2A protocol events.
 
@@ -227,10 +213,7 @@ class A2AExecutor(AgentExecutor):
             item: The agent response item (Message or AgentResponseUpdate) to process.
             updater: The task updater to publish events to.
             streamed_artifact_ids: A set of artifact IDs that have already been streamed.
-                Used to track which artifacts need append=True on subsequent chunks.
-            default_artifact_id: A stable artifact ID to use when the item does not provide one.
-                This ensures all streaming chunks for a single response share the same artifact ID,
-                allowing clients to coalesce them into a single message.
+                Used to prevent duplicate updates for the same artifact.
 
         Example:
             .. code-block:: python
@@ -241,7 +224,6 @@ class A2AExecutor(AgentExecutor):
                         item: Message | AgentResponseUpdate,
                         updater: TaskUpdater,
                         streamed_artifact_ids: set[str] | None = None,
-                        default_artifact_id: str | None = None,
                     ) -> None:
                         # Custom logic to transform item contents
                         if item.role == "assistant" and item.contents:
@@ -278,20 +260,19 @@ class A2AExecutor(AgentExecutor):
 
         if parts:
             if isinstance(item, AgentResponseUpdate):
-                # Resolve artifact ID: use item's message_id if available, otherwise fall back
-                # to the stable default_artifact_id so all streaming chunks share the same ID.
-                artifact_id = item.message_id or default_artifact_id
                 # For streaming updates, we send TaskArtifactUpdateEvent via add_artifact
                 await updater.add_artifact(
                     parts=parts,
-                    artifact_id=artifact_id,
+                    artifact_id=item.message_id,
                     metadata=metadata,
                     append=(
-                        True if streamed_artifact_ids is not None and artifact_id in streamed_artifact_ids else None
+                        True
+                        if streamed_artifact_ids is not None and item.message_id in (streamed_artifact_ids or set())
+                        else None
                     ),
                 )
-                if artifact_id and streamed_artifact_ids is not None:
-                    streamed_artifact_ids.add(artifact_id)
+                if item.message_id and streamed_artifact_ids is not None:
+                    streamed_artifact_ids.add(item.message_id)
             else:
                 # For final messages, we send TaskStatusUpdateEvent with 'working' state
                 await updater.update_status(

python/packages/a2a/pyproject.toml

@@ -4,7 +4,7 @@ description = "A2A integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260604"
+version = "1.0.0b260528"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.0,<2",
+    "agent-framework-core>=1.7.0,<2",
     "a2a-sdk>=1.0.0,<2",
 ]
 

python/packages/anthropic/agent_framework_anthropic/_chat_client.py

@@ -803,15 +803,6 @@ class RawAnthropicClient(
                     }
                     a_content.append(mcp_result)
                 case "text_reasoning":
-                    if content.text is None:
-                        if (
-                            content.protected_data
-                            and a_content
-                            and a_content[-1].get("type") == "thinking"
-                            and "signature" not in a_content[-1]
-                        ):
-                            a_content[-1]["signature"] = content.protected_data
-                        continue
                     thinking_block: dict[str, Any] = {"type": "thinking", "thinking": content.text}
                     if content.protected_data:
                         thinking_block["signature"] = content.protected_data

python/packages/anthropic/pyproject.toml

@@ -4,7 +4,7 @@ description = "Anthropic integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260604"
+version = "1.0.0b260521"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.0,<2",
+    "agent-framework-core>=1.6.0,<2",
     "anthropic>=0.80.0,<0.80.1",
 ]
 

python/packages/anthropic/tests/test_anthropic_client.py

@@ -485,48 +485,6 @@ def test_prepare_message_for_anthropic_text_reasoning_with_signature(
     assert result["content"][0]["signature"] == "sig_abc123"
 
 
-def test_prepare_message_for_anthropic_attaches_signature_only_reasoning(
-    mock_anthropic_client: MagicMock,
-) -> None:
-    client = create_test_anthropic_client(mock_anthropic_client)
-    message = Message(
-        role="assistant",
-        contents=[
-            Content.from_text_reasoning(text="Let me think about this..."),
-            Content.from_text_reasoning(text=None, protected_data="sig_abc123"),
-        ],
-    )
-
-    result = client._prepare_message_for_anthropic(message)
-
-    assert result["content"] == [
-        {"type": "thinking", "thinking": "Let me think about this...", "signature": "sig_abc123"}
-    ]
-
-
-def test_prepare_message_for_anthropic_skips_orphan_signature_only_reasoning(
-    mock_anthropic_client: MagicMock,
-) -> None:
-    client = create_test_anthropic_client(mock_anthropic_client)
-    message = Message(
-        role="assistant",
-        contents=[
-            Content.from_text_reasoning(text=None, protected_data="sig_abc123"),
-            Content.from_function_call(
-                call_id="call_123",
-                name="get_weather",
-                arguments={"location": "San Francisco"},
-            ),
-        ],
-    )
-
-    result = client._prepare_message_for_anthropic(message)
-
-    assert len(result["content"]) == 1
-    assert result["content"][0]["type"] == "tool_use"
-    assert result["content"][0]["id"] == "call_123"
-
-
 def test_prepare_message_for_anthropic_mcp_server_tool_call(
     mock_anthropic_client: MagicMock,
 ) -> None:

python/packages/azurefunctions/pyproject.toml

@@ -4,7 +4,7 @@ description = "Azure Functions integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260604"
+version = "1.0.0b260521"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,8 +22,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.0,<2",
-    "agent-framework-durabletask>=1.0.0b260604,<2",
+    "agent-framework-core>=1.6.0,<2",
+    "agent-framework-durabletask>=1.0.0b260521,<2",
     "azure-functions>=1.24.0,<2",
     "azure-functions-durable>=1.3.1,<2",
 ]

python/packages/azurefunctions/tests/integration_tests/conftest.py

@@ -365,14 +365,6 @@ def _start_function_app(sample_path: Path, port: int) -> subprocess.Popen[Any]:
     # use the task hub name to separate orchestration state.
     env["TASKHUB_NAME"] = f"test{uuid.uuid4().hex[:8]}"
 
-    # The Azure Functions Python worker's dependency isolation mechanism crashes
-    # on Python 3.13 with a SIGSEGV in the protobuf C extension (google._upb).
-    # Disabling isolation lets the worker load dependencies from the app's own
-    # environment, which avoids the crash.
-    # See: https://github.com/Azure/azure-functions-python-worker/issues/1797
-    if sys.version_info >= (3, 13):
-        env.setdefault("PYTHON_ISOLATE_WORKER_DEPENDENCIES", "0")
-
     # On Windows, use CREATE_NEW_PROCESS_GROUP to allow proper termination
     # shell=True only on Windows to handle PATH resolution
     if sys.platform == "win32":
@@ -383,15 +375,8 @@ def _start_function_app(sample_path: Path, port: int) -> subprocess.Popen[Any]:
             shell=True,
             env=env,
         )
-    # On Unix, use start_new_session=True to isolate the process group from the
-    # pytest-xdist worker.  Without this, signals (e.g. from test-timeout) can
-    # propagate to the func host and vice-versa, potentially killing the worker.
-    return subprocess.Popen(
-        ["func", "start", "--port", str(port)],
-        cwd=str(sample_path),
-        env=env,
-        start_new_session=True,
-    )
+    # On Unix, don't use shell=True to avoid shell wrapper issues
+    return subprocess.Popen(["func", "start", "--port", str(port)], cwd=str(sample_path), env=env)
 
 
 def _wait_for_function_app_ready(func_process: subprocess.Popen[Any], port: int, max_wait: int = 60) -> None:
@@ -548,33 +533,18 @@ def function_app_for_test(request: pytest.FixtureRequest) -> Iterator[dict[str,
     _load_and_validate_env(sample_path)
 
     max_attempts = 3
-    # The overall budget MUST be shorter than the pytest-timeout value
-    # (--timeout=120 by default) so that the fixture finishes cleanly instead
-    # of being killed by os._exit() which crashes the xdist worker.
-    overall_budget = 100  # seconds – leaves headroom below the 120 s test timeout
     last_error: Exception | None = None
     func_process: subprocess.Popen[Any] | None = None
     base_url = ""
     port = 0
-    overall_start = time.monotonic()
-    attempts_made = 0
 
     for _ in range(max_attempts):
-        remaining = overall_budget - (time.monotonic() - overall_start)
-        if remaining < 10:
-            # Not enough time for another attempt; bail out.
-            break
-
-        attempts_made += 1
         port = _find_available_port()
         base_url = _build_base_url(port)
         func_process = _start_function_app(sample_path, port)
 
         try:
-            # Cap each attempt's wait to the remaining budget minus a small
-            # buffer for cleanup.
-            per_attempt_wait = min(60, int(remaining) - 5)
-            _wait_for_function_app_ready(func_process, port, max_wait=max(per_attempt_wait, 10))
+            _wait_for_function_app_ready(func_process, port)
             last_error = None
             break
         except FunctionAppStartupError as exc:
@@ -583,8 +553,7 @@ def function_app_for_test(request: pytest.FixtureRequest) -> Iterator[dict[str,
             func_process = None
 
     if func_process is None:
-        elapsed = int(time.monotonic() - overall_start)
-        error_message = f"Function app failed to start after {attempts_made} attempt(s) ({elapsed}s elapsed)."
+        error_message = f"Function app failed to start after {max_attempts} attempt(s)."
         if last_error is not None:
             error_message += f" Last error: {last_error}"
         pytest.fail(error_message)

python/packages/bedrock/agent_framework_bedrock/_chat_client.py

@@ -4,7 +4,6 @@
 from __future__ import annotations
 
 import asyncio
-import copy
 import json
 import logging
 import sys
@@ -37,7 +36,6 @@ from agent_framework.observability import ChatTelemetryLayer
 from boto3.session import Session as Boto3Session
 from botocore.client import BaseClient
 from botocore.config import Config as BotoConfig
-from botocore.exceptions import ClientError
 from pydantic import BaseModel
 
 if sys.version_info >= (3, 13):
@@ -117,20 +115,13 @@ class BedrockChatOptions(ChatOptions[ResponseModelT], Generic[ResponseModelT], t
             translates to ``toolConfig.tools``.
         tool_choice: How the model should use tools,
             translates to ``toolConfig.toolChoice``.
-        response_format: Structured output format. Accepts a Pydantic BaseModel
-            subclass or an OpenAI-style dict schema
-            (``{"json_schema": {"name": ..., "schema": ...}}``).
-            When provided, the Converse API request includes
-            ``outputConfig.textFormat`` with the schema serialized as a JSON
-            string. ``ChatResponse.value`` will be populated with the parsed
-            model instance. Only supported on models that support
-            ``outputConfig.textFormat``. Unsupported models raise a ValueError.
 
         # Options not supported in Bedrock Converse API:
         seed: Not supported.
         frequency_penalty: Not supported.
         presence_penalty: Not supported.
         allow_multiple_tool_calls: Not supported (models handle parallel calls automatically).
+        response_format: Not directly supported (use model-specific prompting).
         user: Not supported.
         store: Not supported.
         logit_bias: Not supported.
@@ -170,6 +161,9 @@ class BedrockChatOptions(ChatOptions[ResponseModelT], Generic[ResponseModelT], t
     allow_multiple_tool_calls: None  # type: ignore[misc]
     """Not supported. Bedrock models handle parallel tool calls automatically."""
 
+    response_format: None  # type: ignore[misc]
+    """Not directly supported. Use model-specific prompting for JSON output."""
+
     user: None  # type: ignore[misc]
     """Not supported in Bedrock Converse API."""
 
@@ -330,28 +324,10 @@ class BedrockChatClient(
         return Boto3Session(**session_kwargs)
 
     def _invoke_converse(self, request: Mapping[str, Any]) -> dict[str, Any]:
-        try:
-            response = self._bedrock_client.converse(**request)
-            if not isinstance(response, Mapping):
-                raise ChatClientInvalidResponseException("Bedrock converse response must be a mapping.")
-            return response
-        except ClientError as e:
-            error_details = e.response.get("Error", {})
-            error_code = error_details.get("Code", "")
-            error_message = error_details.get("Message", "")
-            # "outputConfig" in error_message catches cases where Bedrock explicitly
-            # rejects the outputConfig field (unsupported model). Other ValidationExceptions
-            # (e.g. malformed schema shape, invalid property values) will not mention
-            # "outputConfig" and will bubble up as raw ClientError without being misdiagnosed.
-            if error_code == "ValidationException" and (
-                "outputconfig" in error_message.lower() or "outputconfig" in str(e).lower()
-            ):
-                raise ValueError(
-                    f"Model '{self.model}' does not support structured output via outputConfig.textFormat. "
-                    "Check the model's Bedrock Converse outputConfig/textFormat support. "
-                    f"AWS error Code: {error_code}. AWS error Message: {error_message}"
-                ) from e
-            raise
+        response = self._bedrock_client.converse(**request)
+        if not isinstance(response, Mapping):
+            raise ChatClientInvalidResponseException("Bedrock converse response must be a mapping.")
+        return response
 
     @override
     def _inner_get_response(
@@ -368,7 +344,7 @@ class BedrockChatClient(
             # Streaming mode - simulate streaming by yielding a single update
             async def _stream() -> AsyncIterable[ChatResponseUpdate]:
                 response = await asyncio.to_thread(self._invoke_converse, request)
-                parsed_response = self._process_converse_response(response, options)
+                parsed_response = self._process_converse_response(response)
                 contents = list(parsed_response.messages[0].contents if parsed_response.messages else [])
                 if parsed_response.usage_details:
                     contents.append(Content.from_usage(usage_details=parsed_response.usage_details))  # type: ignore[arg-type]
@@ -384,12 +360,12 @@ class BedrockChatClient(
                     raw_representation=parsed_response.raw_representation,
                 )
 
-            return self._build_response_stream(_stream(), response_format=options.get("response_format"))
+            return self._build_response_stream(_stream())
 
         # Non-streaming mode
         async def _get_response() -> ChatResponse:
             raw_response = await asyncio.to_thread(self._invoke_converse, request)
-            return self._process_converse_response(raw_response, options)
+            return self._process_converse_response(raw_response)
 
         return _get_response()
 
@@ -454,9 +430,6 @@ class BedrockChatClient(
         if tool_config:
             run_options["toolConfig"] = tool_config
 
-        if output_config := self._prepare_output_config(options.get("response_format")):
-            run_options["outputConfig"] = output_config
-
         return run_options
 
     def _prepare_bedrock_messages(
@@ -655,9 +628,7 @@ class BedrockChatClient(
     def _generate_tool_call_id() -> str:
         return f"tool-call-{uuid4().hex}"
 
-    def _process_converse_response(
-        self, response: dict[str, Any], options: Mapping[str, Any] | None = None
-    ) -> ChatResponse:
+    def _process_converse_response(self, response: dict[str, Any]) -> ChatResponse:
         """Convert Bedrock Converse API response to ChatResponse."""
         output = response.get("output") or {}
         message = output.get("message") or {}
@@ -675,7 +646,6 @@ class BedrockChatClient(
             usage_details=usage_details,
             model=model,
             finish_reason=finish_reason,
-            response_format=options.get("response_format") if options else None,
             raw_representation=response,
         )
 
@@ -758,101 +728,6 @@ class BedrockChatClient(
             return None
         return FINISH_REASON_MAP.get(reason.lower())
 
-    def _prepare_output_config(self, response_format: Any | None) -> dict[str, Any] | None:
-        """Convert response_format into the AWS Bedrock outputConfig wire format.
-
-        Args:
-            response_format: A Pydantic model class or a dict schema, or None.
-
-        Returns:
-            A dict for the Converse API ``outputConfig`` parameter, or None if
-            response_format is not set.
-        """
-        if response_format is None:
-            return None
-
-        if isinstance(response_format, Mapping):
-            if "json_schema" in response_format:
-                # Shape A — OpenAI-style wrapper
-                json_schema_config = response_format["json_schema"]
-                schema_src = json_schema_config.get("schema", {})
-                name = json_schema_config.get("name", "output_schema")
-            elif "schema" in response_format:
-                # Shape B — inner shape directly {"name": ..., "schema": ...}
-                schema_src = response_format["schema"]
-                name = response_format.get("name", "output_schema")
-            else:
-                # Shape C — assume entire dict is the raw schema
-                logger.warning(
-                    "response_format dict has no 'json_schema' or 'schema' key; "
-                    "treating entire dict as raw JSON schema."
-                )
-                schema_src = dict(response_format)
-                name = "output_schema"
-
-            if isinstance(schema_src, str):
-                schema_src = json.loads(schema_src)
-            schema = copy.deepcopy(schema_src)
-        else:
-            if not isinstance(response_format, type) or not issubclass(response_format, BaseModel):
-                raise TypeError("response_format must be None, a dict JSON schema, or a Pydantic BaseModel subclass.")
-            # response_format is a Pydantic model class
-            schema = response_format.model_json_schema()
-            name = response_format.__name__
-
-        self._set_additional_properties_false(schema)
-
-        json_schema: dict[str, Any] = {
-            "name": name,
-            "schema": json.dumps(schema),
-        }
-
-        description = getattr(response_format, "__doc__", None) if not isinstance(response_format, Mapping) else None
-        if description and isinstance(description, str) and description.strip():
-            json_schema["description"] = description.strip()
-
-        return {
-            "textFormat": {
-                "type": "json_schema",
-                "structure": {"jsonSchema": json_schema},
-            }
-        }
-
-    def _set_additional_properties_false(self, schema: dict[str, Any]) -> None:
-        """Recursively set additionalProperties: false on all object types in a JSON schema.
-
-        AWS requires strict schema enforcement. This mirrors the approach used by
-        AnthropicChatClient._prepare_response_format().
-
-        Args:
-            schema: The JSON schema dict to modify in-place.
-        """
-        visited: set[int] = set()
-
-        def walk(node: Any) -> None:
-            if isinstance(node, dict):
-                node_id = id(node)
-                if node_id in visited:
-                    return
-                visited.add(node_id)
-                if node.get("type") == "object" or ("properties" in node and "type" not in node):
-                    existing = node.get("additionalProperties")
-                    if existing is None or existing is True:
-                        node["additionalProperties"] = False
-                for value in node.values():
-                    if isinstance(value, (dict, list)):
-                        walk(value)
-            elif isinstance(node, list):
-                node_id = id(node)
-                if node_id in visited:
-                    return
-                visited.add(node_id)
-                for item in node:
-                    if isinstance(item, (dict, list)):
-                        walk(item)
-
-        walk(schema)
-
     def service_url(self) -> str:
         """Returns the service URL for the Bedrock runtime in the configured AWS region.
 

python/packages/bedrock/pyproject.toml

@@ -4,7 +4,7 @@ description = "Amazon Bedrock integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260604"
+version = "1.0.0b260521"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.0,<2",
+    "agent-framework-core>=1.6.0,<2",
     "boto3>=1.35.0,<2.0.0",
     "botocore>=1.35.0,<2.0.0",
 ]

python/packages/bedrock/tests/test_bedrock_structured_output.py

@@ -1,383 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-from __future__ import annotations
-
-import copy
-import json
-from typing import Any
-from unittest.mock import patch
-
-import pytest
-from agent_framework import Content, Message
-from botocore.exceptions import ClientError
-from pydantic import BaseModel
-
-from agent_framework_bedrock import BedrockChatClient
-
-# region Test models
-
-
-class WeatherReport(BaseModel):
-    city: str
-    temperature: float
-    summary: str
-
-
-class NestedAddress(BaseModel):
-    street: str
-    city: str
-    zip_code: str
-
-
-class Person(BaseModel):
-    name: str
-    age: int
-    address: NestedAddress
-
-
-# endregion
-
-
-# region Helpers
-
-
-class _StubBedrockRuntime:
-    """Stub that records calls and returns a canned response."""
-
-    def __init__(self, response_text: str = "Bedrock says hi") -> None:
-        self.calls: list[dict[str, Any]] = []
-        self._response_text = response_text
-
-    def converse(self, **kwargs: Any) -> dict[str, Any]:
-        self.calls.append(kwargs)
-        return {
-            "modelId": kwargs["modelId"],
-            "responseId": "resp-structured",
-            "usage": {"inputTokens": 10, "outputTokens": 20, "totalTokens": 30},
-            "output": {
-                "completionReason": "end_turn",
-                "message": {
-                    "id": "msg-structured",
-                    "role": "assistant",
-                    "content": [{"text": self._response_text}],
-                },
-            },
-        }
-
-
-def _make_client(response_text: str = "Bedrock says hi") -> tuple[BedrockChatClient, _StubBedrockRuntime]:
-    stub = _StubBedrockRuntime(response_text)
-    client = BedrockChatClient(
-        model="us.anthropic.claude-haiku-4-5-v1:0",
-        region="us-east-1",
-        client=stub,
-    )
-    return client, stub
-
-
-def _user_messages() -> list[Message]:
-    return [Message(role="user", contents=[Content.from_text(text="Give me a weather report")])]
-
-
-# endregion
-
-
-# region Tests
-
-
-def test_prepare_output_config_correct_wire_shape() -> None:
-    """_prepare_output_config(WeatherReport) must produce the correct
-    textFormat → structure → jsonSchema shape with type: 'json_schema'."""
-    client, _ = _make_client()
-
-    output_config = client._prepare_output_config(WeatherReport)
-
-    assert output_config is not None
-    text_format = output_config["textFormat"]
-    assert text_format["type"] == "json_schema"
-    assert "structure" in text_format
-    json_schema = text_format["structure"]["jsonSchema"]
-    assert json_schema["name"] == "WeatherReport"
-    assert "schema" in json_schema
-
-
-def test_prepare_output_config_schema_is_json_string() -> None:
-    """The schema value inside jsonSchema must be a JSON string, not a dict."""
-    client, _ = _make_client()
-
-    output_config = client._prepare_output_config(WeatherReport)
-
-    assert output_config is not None
-    schema_value = output_config["textFormat"]["structure"]["jsonSchema"]["schema"]
-    assert isinstance(schema_value, str), f"Expected str, got {type(schema_value)}"
-    # Verify it's valid JSON
-    parsed = json.loads(schema_value)
-    assert isinstance(parsed, dict)
-    assert parsed["type"] == "object"
-
-
-def test_additional_properties_false_set_recursively() -> None:
-    """additionalProperties: false must be set on all nested object types."""
-    client, _ = _make_client()
-
-    output_config = client._prepare_output_config(Person)
-
-    assert output_config is not None
-    schema_str = output_config["textFormat"]["structure"]["jsonSchema"]["schema"]
-    schema = json.loads(schema_str)
-
-    # Top-level object
-    assert schema.get("additionalProperties") is False
-
-    # Check $defs for NestedAddress
-    defs = schema.get("$defs", {})
-    assert "NestedAddress" in defs, "Expected NestedAddress to be present in $defs"
-    assert defs["NestedAddress"].get("additionalProperties") is False, (
-        "Expected additionalProperties=False on nested NestedAddress schema"
-    )
-
-
-def test_no_output_config_when_response_format_none() -> None:
-    """When response_format is None, no outputConfig key should appear in the request."""
-    client, stub = _make_client()
-    messages = _user_messages()
-
-    request = client._prepare_options(messages, {"max_tokens": 100})
-
-    assert "outputConfig" not in request, (
-        f"outputConfig should not be present when response_format is None, got: {request.get('outputConfig')}"
-    )
-
-
-async def test_chat_response_value_populated() -> None:
-    """After a mocked response with response_format, .value should be a populated Pydantic model."""
-    json_response = json.dumps({"city": "Seattle", "temperature": 72.5, "summary": "Sunny and warm"})
-    client, stub = _make_client(response_text=json_response)
-    messages = _user_messages()
-
-    response = await client.get_response(
-        messages=messages,
-        options={"max_tokens": 100, "response_format": WeatherReport},
-    )
-
-    assert response.text == json_response
-    assert response.value is not None
-    assert isinstance(response.value, WeatherReport)
-    assert response.value.city == "Seattle"
-    assert response.value.temperature == 72.5
-    assert response.value.summary == "Sunny and warm"
-
-    # Verify outputConfig was sent to the API
-    assert len(stub.calls) == 1
-    api_request = stub.calls[0]
-    assert "outputConfig" in api_request
-    assert api_request["outputConfig"]["textFormat"]["type"] == "json_schema"
-
-
-def test_dict_schema_response_format() -> None:
-    """_prepare_output_config should work when response_format is a dict, not just a Pydantic class."""
-    client, _ = _make_client()
-
-    dict_schema = {
-        "json_schema": {
-            "name": "weather_output",
-            "schema": {
-                "type": "object",
-                "properties": {
-                    "city": {"type": "string"},
-                    "temp": {"type": "number"},
-                },
-            },
-        }
-    }
-
-    output_config = client._prepare_output_config(dict_schema)
-
-    assert output_config is not None
-    json_schema = output_config["textFormat"]["structure"]["jsonSchema"]
-    assert json_schema["name"] == "weather_output"
-    schema_parsed = json.loads(json_schema["schema"])
-    assert schema_parsed["type"] == "object"
-    assert "city" in schema_parsed["properties"]
-
-
-def test_prepare_output_config_none_returns_none() -> None:
-    """_prepare_output_config(None) must return None."""
-    client, _ = _make_client()
-
-    result = client._prepare_output_config(None)
-
-    assert result is None
-
-
-async def test_chat_response_value_populated_streaming() -> None:
-    """In streaming mode, .value should also be populated on the final response."""
-    json_response = json.dumps({"city": "Portland", "temperature": 68.0, "summary": "Cloudy"})
-    client, stub = _make_client(response_text=json_response)
-    messages = _user_messages()
-
-    stream = client.get_response(
-        messages=messages,
-        stream=True,
-        options={"max_tokens": 100, "response_format": WeatherReport},
-    )
-
-    # Consume stream and get final response
-    async for _ in stream:
-        pass
-    response = await stream.get_final_response()
-
-    assert response.value is not None
-    assert isinstance(response.value, WeatherReport)
-    assert response.value.city == "Portland"
-
-    # Verify outputConfig was sent
-    assert len(stub.calls) == 1
-    assert "outputConfig" in stub.calls[0]
-
-
-async def test_unsupported_model_validation_exception() -> None:
-    """When a model doesn't support outputConfig, a clear error should be raised."""
-
-    class _FailingStubBedrockRuntime:
-        def converse(self, **kwargs: Any) -> dict[str, Any]:
-            # Simulate botocore ClientError for ValidationException
-            error_response = {"Error": {"Code": "ValidationException", "Message": "Invalid field outputConfig"}}
-            raise ClientError(error_response, "Converse")
-
-    client = BedrockChatClient(
-        model="us.anthropic.claude-v2",
-        region="us-east-1",
-        client=_FailingStubBedrockRuntime(),
-    )
-
-    with pytest.raises(ValueError) as exc:
-        await client.get_response(
-            messages=_user_messages(),
-            options={"response_format": WeatherReport},
-        )
-
-    assert "does not support structured output via outputConfig.textFormat" in str(exc.value)
-    assert "Check the model's Bedrock Converse outputConfig/textFormat support." in str(exc.value)
-
-
-def test_invalid_response_format_type_raises() -> None:
-    """Non-dict, non-BaseModel response_format should raise TypeError."""
-    client, _ = _make_client()
-    with pytest.raises(TypeError, match="Pydantic BaseModel subclass"):
-        client._prepare_output_config("not_a_valid_format")
-
-
-def test_mapping_response_format_accepted() -> None:
-    """A non-dict Mapping response_format must be accepted and produce
-    correct outputConfig, not raise TypeError."""
-    from collections.abc import MutableMapping
-
-    class _WrappedMapping(MutableMapping):
-        def __init__(self, data):
-            self._data = dict(data)
-
-        def __getitem__(self, key):
-            return self._data[key]
-
-        def __setitem__(self, key, value):
-            self._data[key] = value
-
-        def __delitem__(self, key):
-            del self._data[key]
-
-        def __iter__(self):
-            return iter(self._data)
-
-        def __len__(self):
-            return len(self._data)
-
-    client, _ = _make_client()
-    mapping_format = _WrappedMapping({
-        "json_schema": {
-            "name": "test_output",
-            "schema": {
-                "type": "object",
-                "properties": {"result": {"type": "string"}},
-            },
-        }
-    })
-
-    output_config = client._prepare_output_config(mapping_format)
-
-    assert output_config is not None
-    json_schema = output_config["textFormat"]["structure"]["jsonSchema"]
-    assert json_schema["name"] == "test_output"
-    schema = json.loads(json_schema["schema"])
-    assert schema.get("additionalProperties") is False
-
-
-def test_shape_b_dict_schema_wire_format() -> None:
-    """Dict response_format in Shape B (inner shape directly) should
-    produce correct outputConfig."""
-    client, _ = _make_client()
-
-    response_format = {
-        "name": "weather_output",
-        "schema": {
-            "type": "object",
-            "properties": {
-                "city": {"type": "string"},
-                "temperature": {"type": "number"},
-            },
-        },
-    }
-
-    output_config = client._prepare_output_config(response_format)
-
-    assert output_config is not None
-    text_format = output_config["textFormat"]
-    assert text_format["type"] == "json_schema"
-    json_schema = text_format["structure"]["jsonSchema"]
-    assert json_schema["name"] == "weather_output"
-    schema = json.loads(json_schema["schema"])
-    assert schema.get("additionalProperties") is False
-
-
-def test_dict_schema_not_mutated() -> None:
-    """Caller's dict schema must not be mutated by _prepare_output_config."""
-    client, _ = _make_client()
-    original_schema = {
-        "json_schema": {
-            "name": "test",
-            "schema": {
-                "type": "object",
-                "properties": {"a": {"type": "string"}},
-            },
-        }
-    }
-    snapshot = copy.deepcopy(original_schema)
-    client._prepare_output_config(original_schema)
-    assert original_schema == snapshot, "Original dict schema was mutated"
-
-
-async def test_non_outputconfig_validation_exception_propagates() -> None:
-    """ValidationException unrelated to outputConfig must propagate
-    as raw ClientError, not be caught and reclassified."""
-    client, _ = _make_client()
-    error_response = {
-        "Error": {
-            "Code": "ValidationException",
-            "Message": "Invalid message format",
-        }
-    }
-    with (
-        patch.object(
-            client,
-            "_bedrock_client",
-            **{"converse.side_effect": ClientError(error_response, "Converse")},
-        ),
-        pytest.raises(ClientError),
-    ):
-        await client.get_response(
-            messages=_user_messages(),
-            options={"max_tokens": 100},
-        )
-
-
-# endregion

python/packages/core/AGENTS.md

@@ -56,7 +56,7 @@ agent_framework/
 - **`AgentMiddleware`** - Intercepts agent `run()` calls
 - **`ChatMiddleware`** - Intercepts chat client `get_response()` calls
 - **`FunctionMiddleware`** - Intercepts function/tool invocations
-- **`AgentContext`** / **`ChatContext`** / **`FunctionInvocationContext`** - Context objects passed through middleware. A tool can declare a `FunctionInvocationContext` parameter to receive it; `context.tools` is the live, mutable tools list for the run, and `context.add_tools(...)` / `context.remove_tools(...)` enable progressive tool exposure (changes apply on the next function-calling iteration).
+- **`AgentContext`** / **`ChatContext`** / **`FunctionInvocationContext`** - Context objects passed through middleware
 
 ### Sessions (`_sessions.py`)
 

python/packages/core/agent_framework/__init__.py

@@ -71,7 +71,6 @@ from ._evaluation import (
     Evaluator,
     ExpectedToolCall,
     LocalEvaluator,
-    RubricScore,
     evaluate_agent,
     evaluate_workflow,
     evaluator,
@@ -168,9 +167,6 @@ from ._skills import (
     InlineSkillResource,
     InlineSkillScript,
     InMemorySkillsSource,
-    MCPSkill,
-    MCPSkillResource,
-    MCPSkillsSource,
     Skill,
     SkillFrontmatter,
     SkillResource,
@@ -447,9 +443,6 @@ __all__ = [
     "MCPStdioTool",
     "MCPStreamableHTTPTool",
     "MCPWebsocketTool",
-    "MCPSkill",
-    "MCPSkillResource",
-    "MCPSkillsSource",
     "MemoryContextProvider",
     "MemoryFileStore",
     "MemoryIndexEntry",
@@ -467,7 +460,6 @@ __all__ = [
     "ResponseStream",
     "Role",
     "RoleLiteral",
-    "RubricScore",
     "RunContext",
     "Runner",
     "RunnerContext",

python/packages/core/agent_framework/_clients.py

@@ -380,15 +380,8 @@ class BaseChatClient(SerializationMixin, ABC, Generic[OptionsCoT]):
             return prepared_messages
         from ._compaction import apply_compaction
 
-        # Compact the caller's list in place when possible. A compaction operation has
-        # two halves: exclusion flags (mutated on shared Message objects) and inserted
-        # summary messages. Operating on the original list keeps both halves on the list
-        # the function-invocation tool loop reuses across iterations; otherwise inserted
-        # summaries would be lost on a throwaway copy while exclusions persisted, silently
-        # dropping older groups (issue #4991).
-        working_messages = messages if isinstance(messages, list) else prepared_messages
         return await apply_compaction(
-            working_messages,
+            prepared_messages,
             strategy=compaction_strategy,
             tokenizer=tokenizer,
         )

python/packages/core/agent_framework/_compaction.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 
 import json
 import logging
-from collections.abc import Iterable, Mapping, Sequence
+from collections.abc import Mapping, Sequence
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -92,23 +92,10 @@ def _is_reasoning_only_assistant(message: Message) -> bool:
     return all(content.type == "text_reasoning" for content in message.contents)
 
 
-def _ensure_message_ids(
-    messages: list[Message], *, id_offset: int = 0, reserved_ids: Iterable[str] | None = None
-) -> None:
-    existing_ids: set[str] = set(reserved_ids) if reserved_ids is not None else set()
-    existing_ids.update(message.message_id for message in messages if message.message_id)
+def _ensure_message_ids(messages: list[Message]) -> None:
     for index, message in enumerate(messages):
-        if message.message_id:
-            continue
-        candidate = f"msg_{id_offset + index}"
-        if candidate in existing_ids:
-            counter = id_offset + len(messages)
-            candidate = f"msg_{counter}"
-            while candidate in existing_ids:
-                counter += 1
-                candidate = f"msg_{counter}"
-        message.message_id = candidate
-        existing_ids.add(candidate)
+        if not message.message_id:
+            message.message_id = f"msg_{index}"
 
 
 def _group_id_for(message: Message, group_index: int) -> str:
@@ -117,27 +104,14 @@ def _group_id_for(message: Message, group_index: int) -> str:
     return f"group_index_{group_index}"
 
 
-def group_messages(
-    messages: list[Message], *, id_offset: int = 0, reserved_ids: Iterable[str] | None = None
-) -> list[dict[str, Any]]:
+def group_messages(messages: list[Message]) -> list[dict[str, Any]]:
     """Compute group spans and metadata for annotation.
 
-    Args:
-        messages: The messages (or a slice of them) to group.
-
-    Keyword Args:
-        id_offset: Absolute starting index used when auto-assigning ``message_id``
-            values, so incremental annotation of a list slice produces ids that
-            stay unique across the full list.
-        reserved_ids: Message ids that already exist outside ``messages`` (for
-            example in a preserved prefix). Auto-assigned ids are guaranteed not
-            to collide with these, preventing duplicate ids across the full list.
-
     Returns:
         Ordered list of lightweight span dicts with keys:
         ``group_id``, ``kind``, ``start_index``, ``end_index``, ``has_reasoning``.
     """
-    _ensure_message_ids(messages, id_offset=id_offset, reserved_ids=reserved_ids)
+    _ensure_message_ids(messages)
     spans: list[dict[str, Any]] = []
     i = 0
     group_index = 0
@@ -465,8 +439,7 @@ def annotate_message_groups(
         if previous_group_index is not None:
             group_index_offset = previous_group_index + 1
 
-    reserved_ids = {message.message_id for message in messages[:start_index] if message.message_id}
-    spans = group_messages(messages[start_index:], id_offset=start_index, reserved_ids=reserved_ids)
+    spans = group_messages(messages[start_index:])
     for span_index, span in enumerate(spans):
         group_id = str(span["group_id"])
         kind = _coerce_group_kind(span["kind"])

python/packages/core/agent_framework/_evaluation.py

@@ -311,15 +311,12 @@ class EvalScoreResult:
         score: Numeric score from the evaluator.
         passed: Whether the item passed this evaluator's threshold.
         sample: Optional raw evaluator output (rationale, metadata).
-        dimensions: Per-dimension scores when this evaluator is a rubric
-            evaluator.  ``None`` for non-rubric (e.g. built-in) evaluators.
     """
 
     name: str
     score: float
     passed: bool | None = None
     sample: dict[str, Any] | None = None
-    dimensions: list[RubricScore] | None = None
 
 
 @experimental(feature_id=ExperimentalFeature.EVALS)
@@ -499,179 +496,6 @@ class EvalResults:
                     detail += f" Errored items: {', '.join(summaries)}."
             raise EvalNotPassedError(detail)
 
-    def assert_score_at_least(
-        self,
-        min_score: float,
-        *,
-        evaluator: str | None = None,
-        msg: str | None = None,
-    ) -> None:
-        """Assert every item's score (optionally filtered by evaluator) is ``>= min_score``.
-
-        Designed for CI gates on generated rubric evaluators (e.g.
-        ``results.assert_score_at_least(0.80)``).  Includes any
-        sub-results from workflow evaluations.
-
-        Args:
-            min_score: Minimum acceptable score (inclusive).
-            evaluator: When set, only check scores from the evaluator
-                whose ``EvalScoreResult.name`` matches.
-            msg: Optional custom failure message.
-
-        Raises:
-            EvalNotPassedError: When any matching score is below the threshold.
-        """
-        offenders: list[str] = []
-
-        def _check(results: EvalResults) -> None:
-            for item in results.items:
-                for score in item.scores:
-                    if evaluator is not None and score.name != evaluator:
-                        continue
-                    if score.score < min_score:
-                        offenders.append(f"{item.item_id}/{score.name}={score.score:.3f}")
-            for sub in results.sub_results.values():
-                _check(sub)
-
-        _check(self)
-        if offenders:
-            detail = msg or (
-                f"{len(offenders)} score(s) below threshold {min_score}"
-                f"{' for ' + evaluator if evaluator else ''}: {', '.join(offenders[:5])}"
-                + (f" (+{len(offenders) - 5} more)" if len(offenders) > 5 else "")
-            )
-            raise EvalNotPassedError(detail)
-
-    def assert_dimension_score_at_least(
-        self,
-        dimension_id: str,
-        min_score: float,
-        *,
-        evaluator: str | None = None,
-        require_applicable: bool = False,
-        msg: str | None = None,
-    ) -> None:
-        """Assert every item's score for a rubric *dimension* is ``>= min_score``.
-
-        Walks ``EvalScoreResult.dimensions`` looking for the named
-        dimension across all items (and sub-results).  Non-applicable
-        dimensions are skipped by default; pass
-        ``require_applicable=True`` to fail when no applicable score is
-        produced.
-
-        Args:
-            dimension_id: Dimension id (matches the rubric definition).
-            min_score: Minimum acceptable dimension score (inclusive).
-            evaluator: When set, only consider scores from the evaluator
-                whose ``EvalScoreResult.name`` matches.
-            require_applicable: When ``True``, missing or non-applicable
-                dimension scores raise.  Defaults to ``False`` (skip).
-            msg: Optional custom failure message.
-
-        Raises:
-            EvalNotPassedError: When the dimension fails the threshold.
-        """
-        offenders: list[str] = []
-        missing_items: list[str] = []
-
-        def _check(results: EvalResults) -> None:
-            for item in results.items:
-                found_applicable = False
-                for score in item.scores:
-                    if evaluator is not None and score.name != evaluator:
-                        continue
-                    if not score.dimensions:
-                        continue
-                    for rs in score.dimensions:
-                        if rs.id != dimension_id:
-                            continue
-                        if not rs.applicable:
-                            continue
-                        found_applicable = True
-                        if rs.score is None or rs.score < min_score:
-                            offenders.append(
-                                f"{item.item_id}/{score.name}/{dimension_id}="
-                                f"{rs.score if rs.score is not None else 'None'}"
-                            )
-                if require_applicable and not found_applicable:
-                    missing_items.append(item.item_id)
-            for sub in results.sub_results.values():
-                _check(sub)
-
-        _check(self)
-        problems: list[str] = []
-        if offenders:
-            problems.append(
-                f"{len(offenders)} dimension score(s) for '{dimension_id}' below {min_score}: "
-                f"{', '.join(offenders[:5])}" + (f" (+{len(offenders) - 5} more)" if len(offenders) > 5 else "")
-            )
-        if missing_items:
-            problems.append(
-                f"Dimension '{dimension_id}' not applicable on {len(missing_items)} item(s): "
-                f"{', '.join(missing_items[:5])}"
-            )
-        if problems:
-            raise EvalNotPassedError(msg or "; ".join(problems))
-
-    def assert_no_failed_items(self, msg: str | None = None) -> None:
-        """Assert no item ended in ``fail`` or ``error`` status.
-
-        Includes any sub-results from workflow evaluations.
-
-        Args:
-            msg: Optional custom failure message.
-
-        Raises:
-            EvalNotPassedError: When any item failed or errored.
-        """
-        bad: list[str] = []
-
-        def _check(results: EvalResults) -> None:
-            for item in results.items:
-                if item.is_failed or item.is_error:
-                    bad.append(f"{item.item_id}:{item.status}")
-            for sub in results.sub_results.values():
-                _check(sub)
-
-        _check(self)
-        if bad:
-            detail = msg or (
-                f"{len(bad)} item(s) failed or errored: {', '.join(bad[:5])}"
-                + (f" (+{len(bad) - 5} more)" if len(bad) > 5 else "")
-            )
-            raise EvalNotPassedError(detail)
-
-
-# endregion
-
-# region Generated rubric evaluators
-
-
-@experimental(feature_id=ExperimentalFeature.EVALS)
-@dataclass(frozen=True)
-class RubricScore:
-    """A single dimension's score from a rubric-based evaluator run.
-
-    Rubric evaluators emit one ``RubricScore`` per dimension per item.
-    Attached to :class:`EvalScoreResult` as a typed view of the raw
-    ``properties.rubric_scores`` payload returned by providers such as
-    Foundry's generated rubric evaluators.
-
-    Attributes:
-        id: Dimension id (matches the rubric definition).
-        score: Numeric score, or ``None`` when the dimension was marked
-            non-applicable for this item.
-        applicable: Whether the dimension applied to this item.
-        weight: Dimension weight (mirrors the rubric definition).
-        reason: Short rationale produced by the evaluator.
-    """
-
-    id: str
-    score: int | None
-    applicable: bool
-    weight: int
-    reason: str
-
 
 # endregion