Declare AgentResponse/AgentResponseUpdate yields on AIAgentHostExecutor

Agent-Logs-Url: https://github.com/microsoft/agent-framework/sessions/32db50d8-6e9b-47a3-a0e8-2804873f6311 Co-authored-by: lokitoth <6936551+lokitoth@users.noreply.github.com>
2026-06-16 21:04:09 +08:00 · 2026-05-21 15:32:15 +00:00
540 changed files with 14113 additions and 31976 deletions
@@ -1,19 +1,15 @@
 {
  "name": "Python 3",
-  "image": "mcr.microsoft.com/devcontainers/python:3.14-bookworm",
+  "image": "mcr.microsoft.com/devcontainers/python:3.13-bullseye",
  "features": {
    "ghcr.io/va-h/devcontainers-features/uv:1": {},
-    "ghcr.io/devcontainers/features/docker-in-docker:3": {},
-    "ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
-    "ghcr.io/devcontainers/features/copilot-cli:1": {}
+    "ghcr.io/devcontainers/features/azure-cli:1.2.8": {}
  },
  "postCreateCommand": "bash ./devsetup.sh",
  "workspaceFolder": "/workspaces/agent-framework/python/",
  "customizations": {
    "vscode": {
      "extensions": [
-        "GitHub.copilot",
-        "GitHub.vscode-github-actions",
        "ms-python.python",
        "ms-windows-ai-studio.windows-ai-studio",
        "littlefoxteam.vscode-python-test-adapter"
@@ -8,7 +8,7 @@ ignorePatterns:
  - pattern: "./blob"
  - pattern: "./issues"
  - pattern: "./discussions"
-  - pattern: "./pull"
+  - pattern: "./pulls"
  - pattern: "https:\/\/platform.openai.com"
  - pattern: "http:\/\/localhost"
  - pattern: "http:\/\/127.0.0.1"
@@ -1,163 +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,
-    labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
-    number: pullRequest.number,
-  };
-}
-
-async function ensureLabel({ github, owner, repo, labelName }) {
-  try {
-    await github.rest.issues.getLabel({
-      owner,
-      repo,
-      name: labelName,
-    });
-  } catch (error) {
-    if (error.status !== 404) {
-      throw error;
-    }
-
-    try {
-      await github.rest.issues.createLabel({
-        owner,
-        repo,
-        name: labelName,
-        color: 'd93f0b',
-        description: 'Community author has exceeded the open pull request limit.',
-      });
-    } catch (createError) {
-      if (createError.status !== 422) {
-        throw createError;
-      }
-    }
-  }
-}
-
-function hasLabel(labels, labelName) {
-  if (!labelName) {
-    return false;
-  }
-
-  return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
-}
-
-function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount }) {
-  return [
-    `Thank you for your contribution, @${author}.`,
-    '',
-    `To keep the review queue manageable, we currently limit community contributors to ${maxOpenPrs} `
-      + `open pull requests at a time. This PR would put you at ${openPrCount} open pull requests, `
-      + 'so we are closing it automatically.',
-    '',
-    'Please focus on getting your existing PRs reviewed, merged, or closed before opening another one. '
-      + `If a maintainer asked you to open this PR, they can apply the \`${exemptLabelName}\` label and reopen it.`,
-  ].join('\n');
-}
-
-async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
-  const query = `repo:${owner}/${repo} is:pr is:open author:${author}`;
-  const response = await github.rest.search.issuesAndPullRequests({
-    q: query,
-    per_page: 100,
-  });
-
-  const indexedPrNumbers = response.data.items.map((item) => item.number);
-  const currentPrIsIndexed = indexedPrNumbers.includes(pullRequestNumber);
-  if (currentPrIsIndexed || response.data.total_count >= 100) {
-    return response.data.total_count;
-  }
-
-  return response.data.total_count + 1;
-}
-
-async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
-  const { owner, repo } = context.repo;
-  const { author, labels, number } = getPullRequest(context);
-
-  if (hasLabel(labels, exemptLabelName)) {
-    core.info(`PR #${number} has the ${exemptLabelName} label; skipping open PR limit enforcement.`);
-    return {
-      author,
-      closed: false,
-      exempt: true,
-      openPrCount: null,
-    };
-  }
-
-  const openPrCount = await getOpenPrCount({
-    github,
-    owner,
-    repo,
-    author,
-    pullRequestNumber: number,
-  });
-
-  if (openPrCount <= maxOpenPrs) {
-    core.info(
-      `${author} has ${openPrCount} open pull request(s), which is within the limit of ${maxOpenPrs}.`,
-    );
-    return {
-      author,
-      closed: false,
-      openPrCount,
-    };
-  }
-
-  await ensureLabel({
-    github,
-    owner,
-    repo,
-    labelName,
-  });
-
-  await github.rest.issues.addLabels({
-    owner,
-    repo,
-    issue_number: number,
-    labels: [labelName],
-  });
-
-  await github.rest.issues.createComment({
-    owner,
-    repo,
-    issue_number: number,
-    body: buildLimitMessage({
-      author,
-      exemptLabelName,
-      maxOpenPrs,
-      openPrCount,
-    }),
-  });
-
-  await github.rest.pulls.update({
-    owner,
-    repo,
-    pull_number: number,
-    state: 'closed',
-  });
-
-  core.info(
-    `${author} has ${openPrCount} open pull request(s), which exceeds the limit of ${maxOpenPrs}. `
-      + `Closed PR #${number}.`,
-  );
-
-  return {
-    author,
-    closed: true,
-    openPrCount,
-  };
-}
-
-module.exports = {
-  buildLimitMessage,
-  enforcePrLimit,
-  getOpenPrCount,
-};
@@ -1,286 +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', labels = [], number = 123 } = {}) {
-  return {
-    repo: {
-      owner: 'microsoft',
-      repo: 'agent-framework',
-    },
-    payload: {
-      pull_request: {
-        number,
-        labels: labels.map((name) => ({ name })),
-        user: {
-          login: author,
-        },
-      },
-    },
-  };
-}
-
-function createCore() {
-  const messages = [];
-  return {
-    messages,
-    info(message) {
-      messages.push(message);
-    },
-  };
-}
-
-function createGithub({ totalCount, itemNumbers, labelExists = true }) {
-  const calls = [];
-
-  return {
-    calls,
-    rest: {
-      search: {
-        async issuesAndPullRequests(params) {
-          calls.push({ api: 'search.issuesAndPullRequests', params });
-          return {
-            data: {
-              total_count: totalCount,
-              items: itemNumbers.map((number) => ({ number })),
-            },
-          };
-        },
-      },
-      issues: {
-        async getLabel(params) {
-          calls.push({ api: 'issues.getLabel', params });
-          if (!labelExists) {
-            const error = new Error('Not Found');
-            error.status = 404;
-            throw error;
-          }
-          return { data: { name: params.name } };
-        },
-        async createLabel(params) {
-          calls.push({ api: 'issues.createLabel', params });
-          return { data: { name: params.name } };
-        },
-        async addLabels(params) {
-          calls.push({ api: 'issues.addLabels', params });
-          return { data: [] };
-        },
-        async createComment(params) {
-          calls.push({ api: 'issues.createComment', params });
-          return { data: { id: 1 } };
-        },
-      },
-      pulls: {
-        async update(params) {
-          calls.push({ api: 'pulls.update', params });
-          return { data: { state: params.state } };
-        },
-      },
-    },
-  };
-}
-
-
-// ---------------------------------------------------------------------------
-// PR limit enforcement
-// ---------------------------------------------------------------------------
-
-describe('PR limit enforcement', () => {
-  it('does not close the PR when the author is at the open PR limit', async () => {
-    const github = createGithub({
-      totalCount: 10,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, false);
-    assert.equal(result.openPrCount, 10);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      ['search.issuesAndPullRequests'],
-    );
-  });
-
-  it('counts the new PR when search has not indexed it yet', async () => {
-    const github = createGithub({
-      totalCount: 10,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.equal(result.openPrCount, 11);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      [
-        'search.issuesAndPullRequests',
-        'issues.getLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-  });
-
-  it('creates the label when it does not already exist', async () => {
-    const github = createGithub({
-      totalCount: 11,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      labelExists: false,
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      [
-        'search.issuesAndPullRequests',
-        'issues.getLabel',
-        'issues.createLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-    assert.equal(
-      github.calls.find((call) => call.api === 'issues.createLabel').params.name,
-      'too-many-prs',
-    );
-  });
-
-  it('tolerates a 422 race when creating the label', async () => {
-    const github = createGithub({
-      totalCount: 11,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-      labelExists: false,
-    });
-    github.rest.issues.createLabel = async (params) => {
-      github.calls.push({ api: 'issues.createLabel', params });
-      const error = new Error('Validation Failed');
-      error.status = 422;
-      throw error;
-    };
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext(),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.deepEqual(
-      github.calls.map((call) => call.api),
-      [
-        'search.issuesAndPullRequests',
-        'issues.getLabel',
-        'issues.createLabel',
-        'issues.addLabels',
-        'issues.createComment',
-        'pulls.update',
-      ],
-    );
-  });
-
-  it('uses a diplomatic close message with the configured limit', async () => {
-    const github = createGithub({
-      totalCount: 11,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-    });
-
-    await enforcePrLimit({
-      github,
-      context: createContext({ author: 'octo-contributor' }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
-    assert.match(comment, /Thank you for your contribution/);
-    assert.match(comment, /limit community contributors to 10 open pull requests/);
-    assert.match(comment, /@octo-contributor/);
-    assert.match(comment, /`pr-limit-exempt` label and reopen/);
-  });
-
-  it('does not close an exempt PR when it is reopened', async () => {
-    const github = createGithub({
-      totalCount: 11,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext({ labels: ['PR-LIMIT-EXEMPT'] }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, false);
-    assert.equal(result.exempt, true);
-    assert.equal(result.openPrCount, null);
-    assert.deepEqual(github.calls, []);
-  });
-
-  it('does not over-count when the current PR is not on the first search page', async () => {
-    const github = createGithub({
-      totalCount: 101,
-      itemNumbers: Array.from({ length: 100 }, (_, index) => index + 1),
-    });
-
-    const result = await enforcePrLimit({
-      github,
-      context: createContext({ number: 123 }),
-      core: createCore(),
-      exemptLabelName: 'pr-limit-exempt',
-      maxOpenPrs: 10,
-      labelName: 'too-many-prs',
-    });
-
-    assert.equal(result.closed, true);
-    assert.equal(result.openPrCount, 101);
-  });
-});
@@ -137,7 +137,6 @@ jobs:
        working-directory: ${{ env.DEVFLOW_PATH }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
          SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
          AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
          ISSUE_REPO: ${{ needs.team_check.outputs.repo }}
@@ -1,83 +0,0 @@
-name: Limit community pull requests
-
-on:
-  pull_request_target:
-    types: [opened, reopened]
-
-permissions:
-  contents: read
-  issues: write
-  pull-requests: write
-
-concurrency:
-  group: pr-limit-${{ github.repository }}-${{ github.event.pull_request.user.login }}
-  cancel-in-progress: false
-
-env:
-  MAX_OPEN_PULL_REQUESTS: '10'
-  PR_LIMIT_EXEMPT_LABEL: pr-limit-exempt
-  TOO_MANY_PRS_LABEL: too-many-prs
-
-jobs:
-  team_check:
-    runs-on: ubuntu-latest
-    outputs:
-      is_team_member: ${{ steps.check.outputs.is_team_member }}
-    steps:
-      - name: Checkout scripts
-        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
-        with:
-          sparse-checkout: .github/scripts
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Check PR author team membership
-        id: check
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
-        env:
-          TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
-          PR_NUMBER: ${{ github.event.pull_request.number }}
-        with:
-          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-          script: |
-            const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
-            const { author, isTeamMember } = await checkTeamMembership({
-              github,
-              context,
-              core,
-              teamSlug: process.env.TEAM_NAME,
-              issueNumber: process.env.PR_NUMBER,
-            });
-            core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
-            if (isTeamMember) {
-              core.info(`Author ${author} is a team member; skipping open PR limit.`);
-            } else {
-              core.info(`Author ${author} is not a team member; checking open PR limit.`);
-            }
-
-  limit_open_prs:
-    runs-on: ubuntu-latest
-    needs: team_check
-    if: ${{ needs.team_check.outputs.is_team_member == 'false' }}
-    steps:
-      - name: Checkout scripts
-        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
-        with:
-          sparse-checkout: .github/scripts
-          fetch-depth: 1
-          persist-credentials: false
-
-      - name: Enforce open PR limit
-        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
-        with:
-          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
-          script: |
-            const { enforcePrLimit } = require('./.github/scripts/pr_limit_moderation.js');
-            await enforcePrLimit({
-              github,
-              context,
-              core,
-              exemptLabelName: process.env.PR_LIMIT_EXEMPT_LABEL,
-              maxOpenPrs: Number.parseInt(process.env.MAX_OPEN_PULL_REQUESTS, 10),
-              labelName: process.env.TOO_MANY_PRS_LABEL,
-            });
@@ -23,14 +23,6 @@ jobs:
        with:
          persist-credentials: false

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

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

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

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

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

+        new SampleDefinition
+        {
+            Name = "Workflow_Declarative_GenerateCode",
+            ProjectPath = "samples/03-workflows/Declarative/GenerateCode",
+            IsDeterministic = true,
+            MustContain = ["WORKFLOW: Parsing", "WORKFLOW: Defined"],
+            ExpectedOutputDescription = ["The output should show a YAML workflow being parsed and C# code being generated from it."],
+        },
+
        new SampleDefinition
        {
            Name = "Workflow_Declarative_HostedWorkflow",
@@ -1,14 +1,14 @@
 <Project>
  <PropertyGroup>
    <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.8.0</VersionPrefix>
+    <VersionPrefix>1.6.1</VersionPrefix>
    <RCNumber>1</RCNumber>
-    <DateSuffix>260528</DateSuffix>
+    <DateSuffix>260514</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>1.8.0</GitTag>
+    <GitTag>1.6.1</GitTag>

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

 ## Key Concepts

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

 ## Running the samples

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        this._scrollRegionBottom = scrollBottom;

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

 ## Running the samples from the console

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  <!-- 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.Hosting" Version="1.6.1-preview.260514.1" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.6.1" />
-    <PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.6.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry" />
+    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" />
+    <PackageReference Include="Microsoft.Agents.AI.Hosting" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" />
  </ItemGroup>
  -->

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

 ## v1.0.0-preview.260212.1
@@ -2,6 +2,7 @@

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

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

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

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

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

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

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

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

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

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

 using System;
 using System.Collections.Generic;
+using System.Diagnostics.CodeAnalysis;
 using System.Threading;
 using System.Threading.Tasks;
 using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
+using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 using OpenAI.Files;
 using OpenAI.VectorStores;
@@ -21,6 +23,7 @@ namespace Microsoft.Agents.AI.Foundry;
 /// <see cref="FoundryChatClient"/> at the agent level so callers do not need to drop down to
 /// <c>agent.GetService&lt;FoundryChatClient&gt;().X()</c> for common workflows.
 /// </summary>
+[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static class FoundryAgentExtensions
 {
    /// <summary>
@@ -4,6 +4,7 @@ using System;
 using System.ClientModel;
 using System.ClientModel.Primitives;
 using System.Collections.Generic;
+using System.Diagnostics.CodeAnalysis;
 using System.IO;
 using System.Runtime.CompilerServices;
 using System.Threading;
@@ -12,6 +13,7 @@ using Azure.AI.Extensions.OpenAI;
 using Azure.AI.Projects;
 using Azure.AI.Projects.Agents;
 using Microsoft.Extensions.AI;
+using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
 using OpenAI.Files;
 using OpenAI.Responses;
@@ -25,9 +27,9 @@ namespace Microsoft.Agents.AI.Foundry;
 /// Foundry chat-client decorator that unifies the three Foundry chat-client construction
 /// modes (Responses Agent, Prompt Agent, Agent Endpoint) behind a single type and centralizes
 /// Foundry-specific concerns: <c>microsoft.foundry</c> telemetry tagging,
-/// <c>agent-framework-dotnet/{version}</c> User-Agent stamping, <c>x-ms-served-model</c>
-/// response-header capture, and (for Prompt Agents) per-request payload mutation that injects
-/// the agent reference and strips per-request overrides that the server owns.
+/// <c>agent-framework-dotnet/{version}</c> User-Agent stamping, and (for Prompt Agents)
+/// per-request payload mutation that injects the agent reference and strips per-request
+/// overrides that the server owns.
 /// </summary>
 /// <remarks>
 /// <para>
@@ -51,6 +53,7 @@ namespace Microsoft.Agents.AI.Foundry;
 /// behind an Agent Endpoint. It is not synonymous with the Agent Endpoint mode itself.
 /// </para>
 /// </remarks>
+[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public sealed class FoundryChatClient : DelegatingChatClient
 {
    private readonly ChatClientMetadata _metadata;
@@ -75,7 +78,6 @@ public sealed class FoundryChatClient : DelegatingChatClient
        this._aiProjectClient = aiProjectClient;
        this._metadata = new ChatClientMetadata("microsoft.foundry", defaultModelId: modelId);
        TryRegisterAgentFrameworkUserAgentPolicy(this.InnerClient);
-        TryRegisterServedModelPolicy(this.InnerClient);
    }

    /// <summary>
@@ -94,7 +96,6 @@ public sealed class FoundryChatClient : DelegatingChatClient
        this._baseChatOptions = baseChatOptions;
        this.AgentName = agentReference.Name;
        TryRegisterAgentFrameworkUserAgentPolicy(this.InnerClient);
-        TryRegisterServedModelPolicy(this.InnerClient);
    }

    /// <summary>
@@ -160,7 +161,6 @@ public sealed class FoundryChatClient : DelegatingChatClient
        this.AgentName = inner.AgentName;
        this._metadata = new ChatClientMetadata("microsoft.foundry");
        TryRegisterAgentFrameworkUserAgentPolicy(this.InnerClient);
-        TryRegisterServedModelPolicy(this.InnerClient);
    }

    /// <summary>
@@ -212,25 +212,7 @@ public sealed class FoundryChatClient : DelegatingChatClient
            ? this.GetAgentEnabledChatOptions(options)
            : options;

-        var box = new StrongBox<string?>(null);
-        var previous = ServedModelScope.Current;
-        ServedModelScope.Current = box;
-
-        try
-        {
-            var response = await base.GetResponseAsync(messages, effectiveOptions, cancellationToken).ConfigureAwait(false);
-
-            if (box.Value is { } servedModel)
-            {
-                response.ModelId = servedModel;
-            }
-
-            return response;
-        }
-        finally
-        {
-            ServedModelScope.Current = previous;
-        }
+        return await base.GetResponseAsync(messages, effectiveOptions, cancellationToken).ConfigureAwait(false);
    }

    /// <inheritdoc/>
@@ -240,25 +222,9 @@ public sealed class FoundryChatClient : DelegatingChatClient
            ? this.GetAgentEnabledChatOptions(options)
            : options;

-        var box = new StrongBox<string?>(null);
-        var previous = ServedModelScope.Current;
-        ServedModelScope.Current = box;
-
-        try
+        await foreach (var chunk in base.GetStreamingResponseAsync(messages, effectiveOptions, cancellationToken).ConfigureAwait(false))
        {
-            await foreach (var chunk in base.GetStreamingResponseAsync(messages, effectiveOptions, cancellationToken).ConfigureAwait(false))
-            {
-                if (box.Value is { } servedModel)
-                {
-                    chunk.ModelId = servedModel;
-                }
-
-                yield return chunk;
-            }
-        }
-        finally
-        {
-            ServedModelScope.Current = previous;
+            yield return chunk;
        }
    }

@@ -649,7 +615,6 @@ public sealed class FoundryChatClient : DelegatingChatClient
    /// <summary>Best-effort registration of <see cref="AgentFrameworkUserAgentPolicy"/> via the MEAI <see cref="OpenAIRequestPolicies"/> hook with at-most-once dedup per pipeline.</summary>
    private static void TryRegisterAgentFrameworkUserAgentPolicy(IChatClient? innerClient)
    {
-#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
        if (innerClient?.GetService<OpenAIRequestPolicies>() is { } policies)
        {
            // OpenAIRequestPoliciesReflection.AddPolicyIfMissing performs a check-then-add against
@@ -661,28 +626,6 @@ public sealed class FoundryChatClient : DelegatingChatClient
                AgentFrameworkUserAgentPolicy.Instance,
                PipelinePosition.PerCall);
        }
-#pragma warning restore MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
-    }
-
-    /// <summary>
-    /// Best-effort registration of <see cref="ServedModelPolicy"/> via the MEAI
-    /// <see cref="OpenAIRequestPolicies"/> hook. The policy captures the
-    /// <c>x-ms-served-model</c> response header from Azure OpenAI and writes it into
-    /// <see cref="ServedModelScope"/> so the <see cref="GetResponseAsync"/> and
-    /// <see cref="GetStreamingResponseAsync"/> overrides can overwrite
-    /// <see cref="ChatResponse.ModelId"/> with the actual model snapshot.
-    /// </summary>
-    private static void TryRegisterServedModelPolicy(IChatClient? innerClient)
-    {
-#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
-        if (innerClient?.GetService<OpenAIRequestPolicies>() is { } policies)
-        {
-            OpenAIRequestPoliciesReflection.AddPolicyIfMissing(
-                policies,
-                ServedModelPolicy.Instance,
-                PipelinePosition.PerCall);
-        }
-#pragma warning restore MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
    }

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

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

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

 namespace Microsoft.Agents.AI.Foundry;

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

  <Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
@@ -13,6 +13,7 @@ namespace Azure.AI.Extensions.OpenAI;
 /// Provides extension methods for <see cref="ProjectResponsesClient"/>
 /// to simplify the creation of AI agents that work with Azure AI services.
 /// </summary>
+[Experimental(DiagnosticIds.Experiments.AIOpenAIResponses)]
 public static class ProjectResponsesClientExtensions
 {
    /// <summary>
@@ -1,67 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.ClientModel.Primitives;
-using System.Collections.Generic;
-using System.Threading.Tasks;
-
-namespace Microsoft.Agents.AI.Foundry;
-
-/// <summary>
-/// Pipeline policy that captures the <c>x-ms-served-model</c> response header from Azure OpenAI
-/// and stores it in <see cref="ServedModelScope"/> for consumption by <see cref="FoundryChatClient"/>.
-/// </summary>
-/// <remarks>
-/// <para>
-/// Azure OpenAI Responses API returns the deployment alias in <c>response.model</c> but the actual
-/// model snapshot (e.g. <c>gpt-5-nano-2025-08-07</c>) in the <c>x-ms-served-model</c> response header.
-/// This policy extracts the header after the HTTP roundtrip so the <see cref="FoundryChatClient"/>
-/// can overwrite <c>ChatResponse.ModelId</c> with the true model name.
-/// </para>
-/// <para>
-/// Registered once per <c>OpenAIRequestPolicies</c> instance via the MEAI 10.5.1 extension hook.
-/// When the header is absent (non-Azure endpoints), the scope is not set and the
-/// <see cref="FoundryChatClient"/> preserves the original model name.
-/// </para>
-/// </remarks>
-internal sealed class ServedModelPolicy : PipelinePolicy
-{
-    /// <summary>The Azure OpenAI response header that carries the actual served model name.</summary>
-    internal const string ServedModelHeader = "x-ms-served-model";
-
-    public static ServedModelPolicy Instance { get; } = new ServedModelPolicy();
-
-    private ServedModelPolicy()
-    {
-    }
-
-    public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
-    {
-        ProcessNext(message, pipeline, currentIndex);
-        CaptureServedModel(message);
-    }
-
-    public override async ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
-    {
-        await ProcessNextAsync(message, pipeline, currentIndex).ConfigureAwait(false);
-        CaptureServedModel(message);
-    }
-
-    private static void CaptureServedModel(PipelineMessage message)
-    {
-        if (message.Response is null)
-        {
-            return;
-        }
-
-        if (message.Response.Headers.TryGetValue(ServedModelHeader, out string? servedModel)
-            && !string.IsNullOrWhiteSpace(servedModel))
-        {
-            // Write into the box (reference-type mutation) so the value is visible to the
-            // FoundryChatClient that pushed the box before calling the inner client.
-            if (ServedModelScope.Current is { } box)
-            {
-                box.Value = servedModel.Trim();
-            }
-        }
-    }
-}
@@ -1,35 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Runtime.CompilerServices;
-using System.Threading;
-
-namespace Microsoft.Agents.AI.Foundry;
-
-/// <summary>
-/// AsyncLocal carrier that bridges the <c>x-ms-served-model</c> response header value from the
-/// <see cref="ServedModelPolicy"/> running inside the SCM transport pipeline up to the
-/// <see cref="FoundryChatClient"/> decorator.
-/// </summary>
-/// <remarks>
-/// <para>
-/// Because <see cref="AsyncLocal{T}"/> mutations inside a child <c>async</c> method do not propagate
-/// back to the caller (copy-on-write semantics), this scope uses <see cref="StrongBox{T}"/> as an
-/// indirection layer. The <see cref="FoundryChatClient"/> pushes a fresh box onto the scope
-/// before calling the inner client; the <see cref="ServedModelPolicy"/> writes into the box's
-/// <see cref="StrongBox{T}.Value"/> (a reference-type mutation visible to anyone holding the same box).
-/// After the inner call returns, the client reads the box's value.
-/// </para>
-/// </remarks>
-internal static class ServedModelScope
-{
-    private static readonly AsyncLocal<StrongBox<string?>?> s_current = new();
-
-    /// <summary>
-    /// Gets or sets the per-async-flow served model box.
-    /// </summary>
-    public static StrongBox<string?>? Current
-    {
-        get => s_current.Value;
-        set => s_current.Value = value;
-    }
-}
@@ -6,9 +6,6 @@ using System.Diagnostics.CodeAnalysis;
 using System.IO;
 using System.Linq;
 using Microsoft.Agents.AI.Compaction;
-#if NET
-using Microsoft.Agents.AI.Tools.Shell;
-#endif
 using Microsoft.Extensions.AI;
 using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
@@ -204,14 +201,6 @@ public sealed class HarnessAgent : DelegatingAIAgent
            result.Tools.Add(new HostedWebSearchTool());
        }

-#if NET
-        if (options?.ShellExecutor is ShellExecutor shellExecutor)
-        {
-            result.Tools ??= [];
-            result.Tools.Add(shellExecutor.AsAIFunction());
-        }
-#endif
-
        return result;
    }

@@ -270,13 +259,6 @@ public sealed class HarnessAgent : DelegatingAIAgent
            }
        }

-#if NET
-        if (options?.ShellExecutor is ShellExecutor shellExecutor)
-        {
-            providers.Add(new ShellEnvironmentProvider(shellExecutor, options.ShellEnvironmentProviderOptions));
-        }
-#endif
-
        if (options?.AIContextProviders is IEnumerable<AIContextProvider> userProviders)
        {
            providers.AddRange(userProviders);
@@ -2,9 +2,6 @@

 using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
-#if NET
-using Microsoft.Agents.AI.Tools.Shell;
-#endif
 using Microsoft.Extensions.AI;
 using Microsoft.Shared.DiagnosticIds;

@@ -243,27 +240,4 @@ public sealed class HarnessAgentOptions
    /// This property is ignored when <see cref="BackgroundAgents"/> is <see langword="null"/> or empty.
    /// </remarks>
    public BackgroundAgentsProviderOptions? BackgroundAgentsProviderOptions { get; set; }
-
-#if NET
-    /// <summary>
-    /// Gets or sets the shell executor used to enable shell tool and environment probing via <see cref="ShellEnvironmentProvider"/>.
-    /// </summary>
-    /// <remarks>
-    /// When non-null, a <see cref="ShellEnvironmentProvider"/> is automatically included in the agent's context
-    /// providers (injecting OS/shell/CWD information into the system prompt), and the executor's
-    /// <see cref="ShellExecutor.AsAIFunction"/> is registered as a callable tool.
-    /// When <see langword="null"/> (the default), no shell features are enabled.
-    /// </remarks>
-    public ShellExecutor? ShellExecutor { get; set; }
-
-    /// <summary>
-    /// Gets or sets optional configuration for the <see cref="ShellEnvironmentProvider"/>.
-    /// </summary>
-    /// <remarks>
-    /// Use this to customize which tools are probed, the probe timeout, shell family override,
-    /// or the instructions formatter.
-    /// This property is ignored when <see cref="ShellExecutor"/> is <see langword="null"/>.
-    /// </remarks>
-    public ShellEnvironmentProviderOptions? ShellEnvironmentProviderOptions { get; set; }
-#endif
 }
@@ -15,10 +15,6 @@
    <ProjectReference Include="..\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
  </ItemGroup>

-  <ItemGroup Condition="$([MSBuild]::IsTargetFrameworkCompatible('$(TargetFramework)', 'net8.0'))">
-    <ProjectReference Include="..\Microsoft.Agents.AI.Tools.Shell\Microsoft.Agents.AI.Tools.Shell.csproj" />
-  </ItemGroup>
-
  <PropertyGroup>
    <!-- NuGet Package Settings -->
    <Title>Microsoft Agent Framework Harness</Title>
@@ -27,7 +27,6 @@

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

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

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

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