Fix remaining Python hosting checks

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

.github/.linkspector.yml

@@ -20,7 +20,10 @@ ignorePatterns:
   - pattern: "https://your-resource.openai.azure.com/"
   - pattern: "http://host.docker.internal"
   - pattern: "https://openai.github.io/openai-agents-js/openai/agents/classes/"
-  - pattern: "https:\/\/dotnet.microsoft.com\/download"
+  # dotnet.microsoft.com bot-blocks CI link checkers with intermittent 403s on any
+  # path (including localized variants like /en-us/download/...), so ignore the
+  # whole domain rather than just /download.
+  - pattern: "https:\/\/dotnet.microsoft.com"
   - pattern: "https://github.com/Rel1cx/eslint-react"
 # excludedDirs:
   # Folders which include links to localhost, since it's not ignored with regular expressions

.github/pull_request_template.md

@@ -1,23 +1,43 @@
-### Motivation and Context
+### Motivation & Context
 
 <!-- Thank you for your contribution to the Agent Framework repo!
 Please help reviewers and future users, providing the following information:
   1. Why is this change required?
   2. What problem does it solve?
   3. What scenario does it contribute to?
-  4. If it fixes an open issue, please link to the issue here.
+  4. If it fixes an open issue, please link to the issue below.
 -->
 
-### Description
+### Description & Review Guide
 
 <!-- Describe your changes, the overall approach, the underlying design.
+     Highlight what you want the reviewers to focus on.
      These notes will help understanding how your code works. Thanks! -->
 
+- **What are the major changes?**
+- **What is the impact of these changes?**
+- **What do you want reviewers to focus on?**
+<!-- NOTE FOR AUTOMATED/AI REVIEWERS: the "What do you want reviewers to focus on?"
+     item above is intended for human reviewers only. Automated/AI reviewers should
+     ignore it and review the entire change rather than narrowing scope to it. -->
+
+
+### Related Issue
+
+<!-- Which issue does this PR fix? Link it using a GitHub closing keyword so it is
+     closed automatically when this PR is merged, e.g. "Fixes #123" or "Closes #123".
+     PRs that are not linked to an issue may be closed, no matter how valid the change is.
+     Also check whether an open PR already exists for this issue; if so,
+     explain how this PR is different. -->
+
+Fixes #
+
 ### Contribution Checklist
 
 <!-- Before submitting this PR, please make sure: -->
 
 - [ ] The code builds clean without any errors or warnings
-- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
 - [ ] All unit tests pass, and I have added new tests where possible
-- [ ] **Is this a breaking change?** If yes, add "[BREAKING]" prefix to the title of the PR.
+- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
+- [ ] This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).
+- [x] **This is not a breaking change.** If it _is_ a breaking change, add the `breaking change` label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.

.github/scripts/pr_limit_moderation.js

@@ -8,6 +8,7 @@ function getPullRequest(context) {
 
   return {
     author: pullRequest.user.login,
+    authorType: pullRequest.user.type,
     labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
     number: pullRequest.number,
   };
@@ -49,6 +50,10 @@ function hasLabel(labels, labelName) {
   return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
 }
 
+function isDependabotAuthor({ author, authorType }) {
+  return authorType === 'Bot' && author.toLowerCase() === 'dependabot[bot]';
+}
+
 function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount }) {
   return [
     `Thank you for your contribution, @${author}.`,
@@ -83,7 +88,17 @@ async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }
 
 async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
   const { owner, repo } = context.repo;
-  const { author, labels, number } = getPullRequest(context);
+  const { author, authorType, labels, number } = getPullRequest(context);
+
+  if (isDependabotAuthor({ author, authorType })) {
+    core.info(`Author ${author} is Dependabot; skipping open PR limit enforcement.`);
+    return {
+      author,
+      closed: false,
+      dependabotExempt: true,
+      openPrCount: null,
+    };
+  }
 
   if (hasLabel(labels, exemptLabelName)) {
     core.info(`PR #${number} has the ${exemptLabelName} label; skipping open PR limit enforcement.`);

.github/scripts/title_prefix.js

@@ -0,0 +1,253 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+const BREAKING_CHANGE_LABEL = 'breaking change';
+const BREAKING_PREFIX = '[BREAKING]';
+
+const DEFAULT_PREFIX_LABELS = Object.freeze({
+  python: 'Python',
+  '.NET': '.NET',
+});
+
+const DEFAULT_BRACKET_PREFIX_LABELS = Object.freeze({
+  [BREAKING_CHANGE_LABEL]: BREAKING_PREFIX,
+});
+
+function escapeRegExp(value) {
+  return value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
+}
+
+function getMatchingValueByKey(valuesByKey, keyToFind) {
+  const matchingKey = Object.keys(valuesByKey).find((key) => key.toLowerCase() === keyToFind.toLowerCase());
+  return matchingKey === undefined ? null : valuesByKey[matchingKey];
+}
+
+function getPrefixPattern(prefixes) {
+  return prefixes.map(escapeRegExp).join('|');
+}
+
+function canonicalizePrefix(prefix, prefixes) {
+  return prefixes.find((knownPrefix) => knownPrefix.toLowerCase() === prefix.toLowerCase()) ?? prefix;
+}
+
+function normalizeLeadingBracketPrefix(title, bracketPrefixes) {
+  const bracketPattern = getPrefixPattern(bracketPrefixes);
+  if (!bracketPattern) {
+    return title;
+  }
+
+  const leadingBracketPrefix = new RegExp(`^(${bracketPattern})(?=\\s|$)`, 'i');
+  return title.replace(
+    leadingBracketPrefix,
+    (bracketPrefix) => canonicalizePrefix(bracketPrefix, bracketPrefixes),
+  );
+}
+
+function parseLeadingTitlePrefix(title, titlePrefixes) {
+  const titlePrefixPattern = getPrefixPattern(titlePrefixes);
+  if (!titlePrefixPattern) {
+    return null;
+  }
+
+  const match = title.match(new RegExp(`^(${titlePrefixPattern}):\\s*`, 'i'));
+  if (!match) {
+    return null;
+  }
+
+  return {
+    prefix: canonicalizePrefix(match[1], titlePrefixes),
+    rest: title.slice(match[0].length).trimStart(),
+  };
+}
+
+function removeBracketPrefixToken(title, bracketPrefix) {
+  const bracketPrefixPattern = escapeRegExp(bracketPrefix);
+  return title
+    .replace(new RegExp(`(^|\\s+)${bracketPrefixPattern}(?=\\s|$)`, 'ig'), '$1')
+    .replace(/\s{2,}/g, ' ')
+    .trim();
+}
+
+function addTitlePrefix(title, prefix, bracketPrefixes = Object.values(DEFAULT_BRACKET_PREFIX_LABELS)) {
+  const bracketPattern = getPrefixPattern(bracketPrefixes);
+  const prefixPattern = escapeRegExp(prefix);
+
+  if (bracketPattern) {
+    const bracketThenTitlePrefix = new RegExp(`^(${bracketPattern})(\\s+)(${prefixPattern})(?=:)`, 'i');
+    if (bracketThenTitlePrefix.test(title)) {
+      return title.replace(
+        bracketThenTitlePrefix,
+        (match, bracketPrefix, spacing) => `${canonicalizePrefix(bracketPrefix, bracketPrefixes)}${spacing}${prefix}`,
+      );
+    }
+
+    title = normalizeLeadingBracketPrefix(title, bracketPrefixes);
+  }
+
+  if (!title.startsWith(`${prefix}: `)) {
+    const existingTitlePrefix = new RegExp(`^${prefixPattern}:\\s*`, 'i');
+    if (existingTitlePrefix.test(title)) {
+      return title.replace(existingTitlePrefix, `${prefix}: `);
+    }
+
+    return `${prefix}: ${title}`;
+  }
+
+  return title;
+}
+
+function hasBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
+  const bracketPrefixPattern = escapeRegExp(bracketPrefix);
+  const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
+  if (leadingBracketPrefix.test(title)) {
+    return true;
+  }
+
+  const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
+  if (!leadingTitlePrefix) {
+    return false;
+  }
+
+  return leadingBracketPrefix.test(leadingTitlePrefix.rest);
+}
+
+function addBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
+  const bracketPrefixPattern = escapeRegExp(bracketPrefix);
+  const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
+  if (leadingBracketPrefix.test(title)) {
+    return title.replace(leadingBracketPrefix, bracketPrefix);
+  }
+
+  const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
+  if (leadingTitlePrefix) {
+    if (leadingBracketPrefix.test(leadingTitlePrefix.rest)) {
+      const normalizedRest = leadingTitlePrefix.rest.replace(leadingBracketPrefix, bracketPrefix);
+      return `${leadingTitlePrefix.prefix}: ${normalizedRest}`;
+    }
+
+    const titleWithoutBracketPrefix = removeBracketPrefixToken(leadingTitlePrefix.rest, bracketPrefix);
+    return `${leadingTitlePrefix.prefix}: ${bracketPrefix}`
+      + (titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : '');
+  }
+
+  const titleWithoutBracketPrefix = removeBracketPrefixToken(title, bracketPrefix);
+  return `${bracketPrefix}${titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : ''}`;
+}
+
+function hasLabel(labels, labelName) {
+  return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
+}
+
+function getCurrentTitle(context) {
+  switch (context.eventName) {
+    case 'issues':
+      return context.payload.issue.title;
+    case 'pull_request_target':
+      return context.payload.pull_request.title;
+    default:
+      throw new Error(`Unrecognized eventName: ${context.eventName}`);
+  }
+}
+
+async function updateTitleForAddedLabel({
+  github,
+  context,
+  core,
+  prefixLabels = DEFAULT_PREFIX_LABELS,
+  bracketPrefixLabels = DEFAULT_BRACKET_PREFIX_LABELS,
+}) {
+  const labelAdded = context.payload.label?.name;
+  if (!labelAdded) {
+    throw new Error('This script must be run from a labeled event.');
+  }
+
+  const currentTitle = getCurrentTitle(context);
+  let newTitle = null;
+
+  const titlePrefix = getMatchingValueByKey(prefixLabels, labelAdded);
+  if (titlePrefix !== null) {
+    newTitle = addTitlePrefix(currentTitle, titlePrefix, Object.values(bracketPrefixLabels));
+  }
+
+  const bracketPrefix = getMatchingValueByKey(bracketPrefixLabels, labelAdded);
+  if (bracketPrefix !== null) {
+    newTitle = addBracketPrefix(currentTitle, bracketPrefix, Object.values(prefixLabels));
+  }
+
+  if (newTitle === null) {
+    core.info(`No title prefix configured for label "${labelAdded}".`);
+    return { updated: false, newTitle: currentTitle };
+  }
+
+  if (newTitle === currentTitle) {
+    core.info(`Title already includes the prefix for label "${labelAdded}".`);
+    return { updated: false, newTitle };
+  }
+
+  switch (context.eventName) {
+    case 'issues':
+      await github.rest.issues.update({
+        issue_number: context.issue.number,
+        owner: context.repo.owner,
+        repo: context.repo.repo,
+        title: newTitle,
+      });
+      break;
+
+    case 'pull_request_target':
+      await github.rest.pulls.update({
+        pull_number: context.issue.number,
+        owner: context.repo.owner,
+        repo: context.repo.repo,
+        title: newTitle,
+      });
+      break;
+
+    default:
+      throw new Error(`Unrecognized eventName: ${context.eventName}`);
+  }
+
+  return { updated: true, newTitle };
+}
+
+async function syncBreakingChangeLabelFromTitle({
+  github,
+  context,
+  core,
+  labelName = BREAKING_CHANGE_LABEL,
+  bracketPrefix = BREAKING_PREFIX,
+  titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS),
+}) {
+  const pullRequest = context.payload.pull_request;
+  if (!pullRequest) {
+    throw new Error('This script must be run from a pull_request_target event.');
+  }
+
+  const title = pullRequest.title || '';
+  if (!hasBracketPrefix(title, bracketPrefix, titlePrefixes)) {
+    core.info(`Title does not include ${bracketPrefix} in the title prefix.`);
+    return { added: false };
+  }
+
+  const labels = pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [];
+  if (hasLabel(labels, labelName)) {
+    core.info(`PR already has the "${labelName}" label.`);
+    return { added: false };
+  }
+
+  await github.rest.issues.addLabels({
+    issue_number: context.issue.number,
+    owner: context.repo.owner,
+    repo: context.repo.repo,
+    labels: [labelName],
+  });
+
+  return { added: true };
+}
+
+module.exports = {
+  addBracketPrefix,
+  addTitlePrefix,
+  hasBracketPrefix,
+  syncBreakingChangeLabelFromTitle,
+  updateTitleForAddedLabel,
+};

.github/skills/pull-requests/SKILL.md

@@ -0,0 +1,116 @@
+---
+name: pull-requests
+description: >
+  Guidance for creating pull requests and handling PR review comments in the
+  Agent Framework repository. Use this when writing a PR description (filling out
+  the PR template) or when responding to and resolving review comments on an
+  existing PR.
+---
+
+# Pull Request Workflow
+
+This skill covers two tasks: (1) writing a high-quality PR description, and
+(2) handling review comments on an existing PR.
+
+## 1. Writing the PR description
+
+Always follow the repository PR template at
+[`.github/pull_request_template.md`](../../pull_request_template.md). Keep its
+exact structure and headings. Fill every section:
+
+### `### Motivation & Context`
+Explain *why* the change is needed: the problem it solves and the scenario it
+contributes to. Describe the net change relative to `main` — this is implied, so
+do **not** spell out "vs main" explicitly.
+
+### `### Description & Review Guide`
+Describe the changes, the overall approach, and the design. Answer the three
+prompts:
+- **What are the major changes?**
+- **What is the impact of these changes?**
+- **What do you want reviewers to focus on?** — This item is for **human
+  reviewers only**. Automated/AI reviewers must ignore it and review the entire
+  change rather than narrowing scope to it.
+
+### `### Related Issue`
+Link the issue the PR fixes using a GitHub closing keyword (`Fixes #123` /
+`Closes #123`) so it closes automatically on merge. A PR with no linked issue may
+be closed regardless of how valid the change is. Before opening, confirm there is
+no other open PR for the same issue; if there is, explain how this PR differs.
+
+### `### Contribution Checklist`
+Check every item that applies. For the breaking-change item:
+- Leave **"This is not a breaking change."** checked for the common case.
+- If the change **is** breaking, add the `breaking change` label **or** put
+  `[BREAKING]` in the title prefix, before or after a language prefix such as
+  `Python:` or `.NET:` — workflows keep the label and the title prefix in sync
+  automatically (see `.github/workflows/label-title-prefix.yml` and
+  `.github/workflows/label-pr.yml`).
+
+### Do not
+- Do **not** add ad-hoc sections such as "Validation" or "Tests run"; CI/CD and
+  the checklist already cover validation status.
+- Do **not** remove or reorder the template's headings.
+
+### Creating the PR
+Open new PRs as **drafts** until they are ready for review. Example:
+
+```bash
+gh pr create --repo microsoft/agent-framework --base main \
+  --head <your-fork-owner>:<branch> --draft \
+  --title "<concise title>" --body "<body following the template>"
+```
+
+## 2. Handling review comments
+
+When a PR receives review comments, follow this sequence — **do not start editing
+code before the user has reviewed the plan**:
+
+1. **Review the comments.** Read every review comment and thread on the PR,
+   including inline code comments and general review summaries.
+2. **Make a plan.** Produce a concrete plan describing how each comment will be
+   addressed (or why it should not be, with reasoning).
+3. **Let the user review the plan.** Present the plan and wait for the user's
+   approval or adjustments before implementing anything.
+4. **Implement.** Make the agreed changes.
+5. **Reply to every comment.** Add a reply to **all** comments explaining how it
+   was addressed (or the agreed outcome) — leave none unanswered.
+6. **Resolve resolved threads.** Mark a review thread as resolved only when the
+   comment has actually been addressed.
+
+### Useful commands
+
+List review comments and threads:
+
+```bash
+# Inline review comments
+gh api repos/{owner}/{repo}/pulls/{pr}/comments
+
+# Review threads with resolution state (GraphQL)
+gh api graphql -f query='
+  query($owner:String!,$repo:String!,$pr:Int!){
+    repository(owner:$owner,name:$repo){
+      pullRequest(number:$pr){
+        reviewThreads(first:100){
+          nodes{ id isResolved comments(first:50){ nodes{ id body author{login} } } }
+        }
+      }
+    }
+  }' -F owner={owner} -F repo={repo} -F pr={pr}
+```
+
+Reply to an inline review comment:
+
+```bash
+gh api repos/{owner}/{repo}/pulls/{pr}/comments/{comment_id}/replies \
+  -f body="Addressed in <commit>: <explanation>"
+```
+
+Resolve a review thread (needs the thread node id from the GraphQL query above):
+
+```bash
+gh api graphql -f query='
+  mutation($threadId:ID!){
+    resolveReviewThread(input:{threadId:$threadId}){ thread{ isResolved } }
+  }' -F threadId={thread_id}
+```

.github/tests/test_pr_limit_moderation.js

@@ -16,7 +16,7 @@ const { enforcePrLimit } = require('../scripts/pr_limit_moderation.js');
 // Helpers
 // ---------------------------------------------------------------------------
 
-function createContext({ author = 'community-user', labels = [], number = 123 } = {}) {
+function createContext({ author = 'community-user', authorType = 'User', labels = [], number = 123 } = {}) {
   return {
     repo: {
       owner: 'microsoft',
@@ -28,6 +28,7 @@ function createContext({ author = 'community-user', labels = [], number = 123 }
         labels: labels.map((name) => ({ name })),
         user: {
           login: author,
+          type: authorType,
         },
       },
     },
@@ -296,6 +297,30 @@ describe('PR limit enforcement', () => {
     assert.deepEqual(github.calls, []);
   });
 
+  it('does not close Dependabot PRs', async () => {
+    const github = createGithub({
+      itemNumbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
+      pullRequests: createPullRequestPage({
+        author: 'dependabot[bot]',
+        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
+      }),
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext({ author: 'dependabot[bot]', authorType: 'Bot' }),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, false);
+    assert.equal(result.dependabotExempt, true);
+    assert.equal(result.openPrCount, null);
+    assert.deepEqual(github.calls, []);
+  });
+
   it('counts the current PR when the author has more than one page of open PRs', async () => {
     const github = createGithub({
       itemNumbers: [123, ...Array.from({ length: 100 }, (_, index) => index + 1)],

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

@@ -317,9 +317,10 @@ jobs:
           AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
           AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
           # Anthropic Models
-          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
-          ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
-          ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
+          # Disable Anthropic tests by not providing environment vars until 404 failure is resolved
+          # ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+          # ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
+          # ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
 
       # Generate test reports and check coverage
       - name: Generate test reports

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

@@ -88,6 +88,7 @@ jobs:
         env:
           COSMOSDB_ENDPOINT: https://localhost:8081
           COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
+          COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
           OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
           OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
           OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}

.github/workflows/label-pr.yml

@@ -6,16 +6,34 @@
 # https://github.com/actions/labeler
 
 name: Label pull request
-on: [pull_request_target]
+on:
+  pull_request_target:
+    types: [opened, synchronize, reopened, edited]
 
 jobs:
   add_label:
     runs-on: ubuntu-latest
     permissions:
       contents: read
+      issues: write
       pull-requests: write
 
     steps:
       - uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6
         with:
           repo-token: "${{ secrets.GH_ACTIONS_PR_WRITE }}"
+
+      - name: Checkout scripts
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          sparse-checkout: .github/scripts
+          fetch-depth: 1
+          persist-credentials: false
+
+      - name: "PR: add breaking change label from title"
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
+        with:
+          github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
+          script: |
+            const { syncBreakingChangeLabelFromTitle } = require('./.github/scripts/title_prefix.js');
+            await syncBreakingChangeLabelFromTitle({ github, context, core });

.github/workflows/label-title-prefix.yml

@@ -15,58 +15,17 @@ jobs:
       pull-requests: write
 
     steps:
+      - name: Checkout scripts
+        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          sparse-checkout: .github/scripts
+          fetch-depth: 1
+          persist-credentials: false
+
       - uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
         name: "Issue/PR: update title"
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
-            let prefixLabels = {
-              "python": "Python",
-              ".NET": ".NET"
-            };
-
-            function addTitlePrefix(title, prefix)
-            {
-              // Update the title based on the label and prefix
-              // Check if the title starts with the prefix (case-sensitive)
-              if (!title.startsWith(prefix + ": ")) {
-                // If not, check if the first word is the label (case-insensitive)
-                if (title.match(new RegExp(`^${prefix}`, 'i'))) {
-                  // If yes, replace it with the prefix (case-sensitive)
-                  title = title.replace(new RegExp(`^${prefix}`, 'i'), prefix);
-                } else {
-                  // If not, prepend the prefix to the title
-                  title = prefix + ": " + title;
-                }
-              }
-
-              return title;
-            }
-
-            labelAdded = context.payload.label.name
-
-            // Check if the issue or PR has the label
-            if (labelAdded in prefixLabels) {
-              let prefix = prefixLabels[labelAdded];
-              switch(context.eventName) {
-                case 'issues':
-                  github.rest.issues.update({
-                    issue_number: context.issue.number,
-                    owner: context.repo.owner,
-                    repo: context.repo.repo,
-                    title: addTitlePrefix(context.payload.issue.title, prefix)
-                  });
-                  break
-
-                case 'pull_request_target':
-                  github.rest.pulls.update({
-                    pull_number: context.issue.number,
-                    owner: context.repo.owner,
-                    repo: context.repo.repo,
-                    title: addTitlePrefix(context.payload.pull_request.title, prefix)
-                  });
-                  break
-                default:
-                  core.setFailed('Unrecognited eventName: ' + context.eventName);
-              }
-            }
+            const { updateTitleForAddedLabel } = require('./.github/scripts/title_prefix.js');
+            await updateTitleForAddedLabel({ github, context, core });

.github/workflows/merge-gatekeeper.yml

@@ -27,7 +27,7 @@ jobs:
           # "Cleanup artifacts", "Agent", "Prepare", and "Upload results" are check runs
           # created by an org-level GitHub App (MSDO), not by any workflow in this repo.
           # They are outside our control and their transient failures should not block merges.
-          IGNORED_NAMES: "CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results"
+          IGNORED_NAMES: "CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results,review"
         with:
           script: |
             const timeoutSeconds = Number(process.env.TIMEOUT_SECONDS);

.github/workflows/python-code-quality.yml

@@ -6,6 +6,10 @@ on:
     branches: ["main"]
     paths:
       - "python/**"
+      - "!python/AGENTS.md"
+      - "!python/**/AGENTS.md"
+      - "!python/.github/skills/*"
+      - "!python/.github/skills/**"
 
 env:
   # Configure a constant location for the uv cache

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

@@ -474,6 +474,45 @@ jobs:
           path: ./python/pytest.xml
           if-no-files-found: ignore
 
+  # GitHub Copilot integration tests
+  python-tests-github-copilot:
+    name: Python Integration Tests - GitHub Copilot
+    runs-on: ubuntu-latest
+    environment: integration
+    timeout-minutes: 60
+    env:
+      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
+      GITHUB_COPILOT_TIMEOUT: "120"
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+        with:
+          ref: ${{ inputs.checkout-ref }}
+          persist-credentials: false
+      - name: Set up python and install the project
+        id: python-setup
+        uses: ./.github/actions/python-setup
+        with:
+          python-version: ${{ env.UV_PYTHON }}
+          os: ${{ runner.os }}
+      - name: Test with pytest (GitHub Copilot integration)
+        run: >
+          uv run pytest --import-mode=importlib
+          packages/github_copilot/tests
+          -m integration
+          --timeout=120 --session-timeout=900 --timeout_method thread
+          --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
+      - name: Upload test results
+        if: always()
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
+        with:
+          name: test-results-github-copilot
+          path: ./python/pytest.xml
+          if-no-files-found: ignore
+
   # Integration test trend report (aggregates per-job JUnit XML results)
   python-integration-test-report:
     name: Integration Test Report
@@ -490,6 +529,7 @@ jobs:
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,
+        python-tests-github-copilot,
       ]
     runs-on: ubuntu-latest
     defaults:
@@ -553,7 +593,8 @@ jobs:
         python-tests-functions,
         python-tests-foundry,
         python-tests-foundry-hosting,
-        python-tests-cosmos
+        python-tests-cosmos,
+        python-tests-github-copilot
       ]
     steps:
       - name: Fail workflow if tests failed

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

@@ -31,6 +31,10 @@ jobs:
           filters: |
             python:
               - 'python/**'
+              - '!python/AGENTS.md'
+              - '!python/**/AGENTS.md'
+              - '!python/.github/skills/*'
+              - '!python/.github/skills/**'
       # run only if 'python' files were changed
       - name: python tests
         if: steps.filter.outputs.python == 'true'

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

@@ -40,6 +40,7 @@ jobs:
       foundryChanged: ${{ steps.filter.outputs.foundry }}
       foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
       cosmosChanged: ${{ steps.filter.outputs.cosmos }}
+      githubCopilotChanged: ${{ steps.filter.outputs.github_copilot }}
     steps:
       - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
       - uses: dorny/paths-filter@d1c1ffe0248fe513906c8e24db8ea791d46f8590 # v3
@@ -85,6 +86,8 @@ jobs:
               - 'python/packages/foundry_hosting/**'
             cosmos:
               - 'python/packages/azure-cosmos/**'
+            github_copilot:
+              - 'python/packages/github_copilot/**'
       # run only if 'python' files were changed
       - name: python tests
         if: steps.filter.outputs.python == 'true'
@@ -658,6 +661,58 @@ jobs:
           path: ./python/pytest.xml
           if-no-files-found: ignore
 
+  # GitHub Copilot integration tests
+  python-tests-github-copilot:
+    name: Python Tests - GitHub Copilot Integration
+    needs: paths-filter
+    if: >
+      github.event_name != 'pull_request' &&
+      needs.paths-filter.outputs.pythonChanges == 'true' &&
+      (github.event_name != 'merge_group' ||
+       needs.paths-filter.outputs.githubCopilotChanged == 'true' ||
+       needs.paths-filter.outputs.coreChanged == 'true')
+    runs-on: ubuntu-latest
+    environment: integration
+    timeout-minutes: 60
+    env:
+      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
+      GITHUB_COPILOT_TIMEOUT: "120"
+    defaults:
+      run:
+        working-directory: python
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
+      - name: Set up python and install the project
+        id: python-setup
+        uses: ./.github/actions/python-setup
+        with:
+          python-version: ${{ env.UV_PYTHON }}
+          os: ${{ runner.os }}
+      - name: Test with pytest (GitHub Copilot integration)
+        run: >
+          uv run pytest --import-mode=importlib
+          packages/github_copilot/tests
+          -m integration
+          --timeout=120 --session-timeout=900 --timeout_method thread
+          --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
+      - name: Surface failing tests
+        if: always()
+        uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
+        with:
+          path: ./python/pytest.xml
+          summary: true
+          display-options: fEX
+          fail-on-empty: false
+          title: GitHub Copilot integration test results
+      - name: Upload test results
+        if: always()
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
+        with:
+          name: test-results-github-copilot
+          path: ./python/pytest.xml
+          if-no-files-found: ignore
+
   # Integration test trend report (aggregates per-job JUnit XML results)
   python-integration-test-report:
     name: Integration Test Report
@@ -674,6 +729,7 @@ jobs:
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,
+        python-tests-github-copilot,
       ]
     runs-on: ubuntu-latest
     defaults:
@@ -735,6 +791,7 @@ jobs:
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,
+        python-tests-github-copilot,
       ]
     steps:
       - name: Fail workflow if tests failed

.github/workflows/python-tests.yml

@@ -5,6 +5,10 @@ on:
     branches: ["main", "feature*"]
     paths:
       - "python/**"
+      - "!python/AGENTS.md"
+      - "!python/**/AGENTS.md"
+      - "!python/.github/skills/*"
+      - "!python/.github/skills/**"
 env:
   # Configure a constant location for the uv cache
   UV_CACHE_DIR: /tmp/.uv-cache

.gitignore

@@ -206,6 +206,7 @@ temp*/
 .temp/
 
 # AI
+**/.checkpoints/
 .claude/
 .omc/
 .omx/
@@ -213,6 +214,7 @@ WARP.md
 **/memory-bank/
 **/projectBrief.md
 **/tmpclaude*
+.kiro/
 # Dependency-bound validation reports
 python/scripts/dependency-*-results.json
 python/scripts/dependencies/dependency-*-results.json

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docs/assets/SVG/Microsoft Foundry Agent Framework - Stroke (White).svg

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docs/decisions/0007-agent-filtering-middleware.md

@@ -1125,7 +1125,7 @@ Naming (Python): N/A (Composable Components)
 Supports: N  
 Observation: No explicit middleware/filters; modularity allows composable units but no dedicated interception hooks or callbacks for custom reading/modification mid-execution.
 
-For more details, see the official documentation: [Atomic Agents Docs](https://brainblend-ai.github.io/atomic-agents/). No specific code examples available for interception.
+No specific code examples available for interception.
 
 #### Smolagents (Hugging Face)
 

docs/decisions/0027-hosting-channels.md

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

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

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

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

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

dotnet/.github/skills/pull-requests

@@ -0,0 +1 @@
+../../../.github/skills/pull-requests

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

@@ -1,4 +1,4 @@
----
+---
 name: verify-samples-tool
 description: How to use the verify-samples tool to run, verify, and manage sample definitions in the Agent Framework repository. Use this when adding, updating, or running sample verification.
 ---
@@ -157,7 +157,7 @@ new SampleDefinition
 new SampleDefinition
 {
     Name = "Agent_With_AzureOpenAIChatCompletion",
-    ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
+    ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion",
     RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
     OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
     ExpectedOutputDescription =
@@ -223,3 +223,5 @@ new SampleDefinition
     SkipReason = "Runs as an MCP stdio server that does not exit on its own.",
 },
 ```
+
+

dotnet/AGENTS.md

@@ -10,6 +10,10 @@ See `./.github/skills/build-and-test/SKILL.md` for detailed instructions on buil
 
 See `./.github/skills/project-structure/SKILL.md` for an overview of the project structure.
 
+## Pull Requests
+
+See `./.github/skills/pull-requests/SKILL.md` for guidance on writing PR descriptions and handling/resolving PR review comments.
+
 ### Core types
 
 - `AIAgent`: The abstract base class that all agents derive from, providing common methods for interacting with an agent.

dotnet/Directory.Packages.props

@@ -21,6 +21,7 @@
     <PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
+    <PackageVersion Include="MessagePack" Version="3.1.7" /> <!-- Transitive dependency of Aspire pinned to newer version due to vulnerability in 2.5.192 -->
     <!-- 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" />
@@ -41,19 +42,19 @@
     <!-- Newtonsoft.Json -->
     <PackageVersion Include="Newtonsoft.Json" Version="13.0.4" />
     <!-- System.* -->
-    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.6" />
+    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.8" />
     <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.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" />
-    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.6" />
+    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.8" />
     <PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.5" />
     <PackageVersion Include="System.Net.Http.Json" Version="10.0.0" />
     <PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.5" />
-    <PackageVersion Include="System.Text.Json" Version="10.0.6" />
-    <PackageVersion Include="System.Threading.Channels" Version="10.0.6" />
+    <PackageVersion Include="System.Text.Json" Version="10.0.8" />
+    <PackageVersion Include="System.Threading.Channels" Version="10.0.8" />
     <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
     <PackageVersion Include="System.Net.Security" Version="4.3.2" />
     <!-- OpenTelemetry -->
@@ -72,12 +73,12 @@
     <PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
     <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
     <!-- Microsoft.Extensions.* -->
-    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.5.1" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.5.1" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.4.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.4.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.3.0-preview.1.26109.11" />
-    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.5.1" />
+    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Quality" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Evaluation.Safety" Version="10.6.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.6.0" />
     <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Compliance.Abstractions" Version="10.5.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.1" />
@@ -86,12 +87,12 @@
     <PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="10.0.1" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.1" />
     <PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="10.0.1" />
-    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.6" />
+    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.8" />
     <PackageVersion Include="Microsoft.Extensions.FileSystemGlobbing" Version="10.0.6" />
     <PackageVersion Include="Microsoft.Extensions.Hosting" Version="10.0.1" />
     <PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Logging" Version="10.0.1" />
-    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.6" />
+    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.8" />
     <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.1" />
     <PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
@@ -99,7 +100,7 @@
     <PackageVersion Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.67.0-preview" />
     <PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.67.0-preview" />
     <!-- Agent SDKs -->
-    <PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.0-beta.2" />
+    <PackageVersion Include="GitHub.Copilot.SDK" Version="1.0.0" />
     <PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
     <!-- M365 Agents SDK -->
     <PackageVersion Include="AdaptiveCards" Version="3.1.0" />
@@ -109,7 +110,7 @@
     <PackageVersion Include="A2A" Version="1.0.0-preview2" />
     <PackageVersion Include="A2A.AspNetCore" Version="1.0.0-preview2" />
     <!-- MCP -->
-    <PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
+    <PackageVersion Include="ModelContextProtocol" Version="1.2.0" />
     <!-- Hyperlight -->
     <PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
     <PackageVersion Include="Hyperlight.HyperlightSandbox.Guest.Python" Version="0.4.0" />
@@ -138,10 +139,15 @@
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Mcp" Version="1.0.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.7" />
+    <!-- Valkey -->
     <!-- Redis -->
     <PackageVersion Include="StackExchange.Redis" Version="2.10.1" />
+    <!-- Valkey -->
+    <PackageVersion Include="Valkey.Glide" Version="1.1.0" />
     <!-- Console UX -->
     <PackageVersion Include="Spectre.Console" Version="0.49.1" />
+    <!-- AWS -->
+    <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.6.10" />
     <!-- Test -->
     <PackageVersion Include="FluentAssertions" Version="8.8.0" />
     <PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net8.0'" Version="8.0.22" />

dotnet/agent-framework-dotnet.slnx

@@ -1,4 +1,4 @@
-<Solution>
+<Solution>
   <Configurations>
     <BuildType Name="Debug" />
     <BuildType Name="Publish" />
@@ -22,20 +22,19 @@
   </Folder>
   <Folder Name="/Samples/02-agents/AgentProviders/">
     <File Path="samples/02-agents/AgentProviders/README.md" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_A2A/Agent_With_A2A.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Agent_With_AzureAIAgentsPersistent.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
-    <Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/a2a/Agent_With_A2A/Agent_With_A2A.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic/Agent_With_Anthropic.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/ollama/Agent_With_Ollama/Agent_With_Ollama.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/onnx/Agent_With_ONNX/Agent_With_ONNX.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
   </Folder>
   <Folder Name="/Samples/05-end-to-end/DevUIAspireIntegration/">
     <Project Path="samples/05-end-to-end/DevUIAspireIntegration/DevUIIntegration.AppHost/DevUIIntegration.AppHost.csproj" />
@@ -129,6 +128,7 @@
     <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/Harness_Step05_Loop/Harness_Step05_Loop.csproj" />
   </Folder>
   <Folder Name="/Samples/02-agents/AGUI/Step05_StateManagement/">
     <Project Path="samples/02-agents/AGUI/Step05_StateManagement/Client/Client.csproj" />
@@ -138,43 +138,43 @@
     <File Path="samples/02-agents/DevUI/README.md" />
     <Project Path="samples/02-agents/DevUI/DevUI_Step01_BasicUsage/DevUI_Step01_BasicUsage.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithAnthropic/">
-    <File Path="samples/02-agents/AgentWithAnthropic/README.md" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
-    <Project Path="samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
+  <Folder Name="/Samples/02-agents/AgentProviders/anthropic/">
+    <File Path="samples/02-agents/AgentProviders/anthropic/README.md" />
+    <Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentsWithFoundry/">
-    <File Path="samples/02-agents/AgentsWithFoundry/README.md" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Agent_Step07_Observability.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Agent_Step08_DependencyInjection.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Agent_Step09_UsingMcpClientAsTools.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Agent_Step10_UsingImages.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Agent_Step11_AsFunctionTool.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Agent_Step12_Middleware.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Agent_Step13_Plugins.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Agent_Step14_CodeInterpreter.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Agent_Step16_FileSearch.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Agent_Step17_OpenAPITools.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Agent_Step18_BingCustomSearch.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Agent_Step19_SharePoint.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Agent_Step20_MicrosoftFabric.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Agent_Step21_WebSearch.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
-    <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 Name="/Samples/02-agents/AgentProviders/foundry/">
+    <File Path="samples/02-agents/AgentProviders/foundry/README.md" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step07_Observability/Agent_Step07_Observability.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step08_DependencyInjection/Agent_Step08_DependencyInjection.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step09_UsingMcpClientAsTools/Agent_Step09_UsingMcpClientAsTools.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step10_UsingImages/Agent_Step10_UsingImages.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step11_AsFunctionTool/Agent_Step11_AsFunctionTool.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step12_Middleware/Agent_Step12_Middleware.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step13_Plugins/Agent_Step13_Plugins.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step14_CodeInterpreter/Agent_Step14_CodeInterpreter.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step16_FileSearch/Agent_Step16_FileSearch.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step17_OpenAPITools/Agent_Step17_OpenAPITools.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step18_BingCustomSearch/Agent_Step18_BingCustomSearch.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step19_SharePoint/Agent_Step19_SharePoint.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step20_MicrosoftFabric/Agent_Step20_MicrosoftFabric.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step21_WebSearch/Agent_Step21_WebSearch.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/foundry/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" />
@@ -194,15 +194,17 @@
     <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/AgentWithMemory_Step02_MemoryUsingMem0.csproj" />
     <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/AgentWithMemory_Step04_MemoryUsingFoundry.csproj" />
     <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/AgentWithMemory_Step05_BoundedChatHistory.csproj" />
+    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey/AgentWithMemory_Step03_MemoryUsingValkey.csproj" />
+    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock.csproj" />
   </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithOpenAI/">
-    <File Path="samples/02-agents/AgentWithOpenAI/README.md" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
-    <Project Path="samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step06_CodeInterpreterFileDownload/Agent_OpenAI_Step06_CodeInterpreterFileDownload.csproj" />
+  <Folder Name="/Samples/02-agents/AgentProviders/openai/">
+    <File Path="samples/02-agents/AgentProviders/openai/README.md" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step01_Running/Agent_OpenAI_Step01_Running.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
+    <Project Path="samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/Agent_OpenAI_Step06_CodeInterpreterFileDownload.csproj" />
   </Folder>
   <Folder Name="/Samples/02-agents/AgentWithRAG/">
     <File Path="samples/02-agents/AgentWithRAG/README.md" />
@@ -344,6 +346,9 @@
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/HostedToolbox.csproj" />
   </Folder>
+  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox-AuthPaths/">
+    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox-AuthPaths/Hosted-Toolbox-AuthPaths.csproj" />
+  </Folder>
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/HostedToolboxMcpSkills.csproj" />
   </Folder>
@@ -622,6 +627,7 @@
     <Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
     <Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Valkey/Microsoft.Agents.AI.Valkey.csproj" />
   </Folder>
   <Folder Name="/Tests/" />
   <Folder Name="/Tests/IntegrationTests/">
@@ -675,5 +681,8 @@
     <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.Generators.UnitTests/Microsoft.Agents.AI.Workflows.Generators.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.UnitTests/Microsoft.Agents.AI.Workflows.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Valkey.UnitTests/Microsoft.Agents.AI.Valkey.UnitTests.csproj" />
   </Folder>
 </Solution>
+
+

dotnet/eng/verify-samples/AgentsSamples.cs

@@ -14,7 +14,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_CustomImplementation",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_CustomImplementation",
+            ProjectPath = "samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation",
             RequiredEnvironmentVariables = [],
             ExpectedOutputDescription =
             [
@@ -27,7 +27,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_AzureOpenAIChatCompletion",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion",
+            ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion",
             RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -40,7 +40,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_AzureOpenAIResponses",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses",
+            ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses",
             RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -50,23 +50,10 @@ internal static class AgentsSamples
             ],
         },
 
-        new SampleDefinition
-        {
-            Name = "Agent_With_AzureAIAgentsPersistent",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent",
-            RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
-            ExpectedOutputDescription =
-            [
-                "The output should contain a joke about a pirate.",
-                "The output should not contain error messages or stack traces.",
-            ],
-        },
-
         new SampleDefinition
         {
             Name = "Agent_With_AzureAIProject",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureAIProject",
+            ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             MustContain = ["Latest agent version id:"],
@@ -80,7 +67,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_AzureFoundryModel",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_AzureFoundryModel",
+            ProjectPath = "samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel",
             RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_OPENAI_API_KEY", "AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -490,12 +477,12 @@ internal static class AgentsSamples
             ],
         },
 
-        // ── AgentsWithFoundry ────────────────────────────────────────────────
+        // ── Foundry ───────────────────────────────────────────────────────────
 
         new SampleDefinition
         {
             Name = "FoundryAgent_Step00_FoundryAgentLifecycle",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -508,7 +495,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step01_Basics",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -521,7 +508,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step02.1_MultiturnConversation",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -535,7 +522,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step02.2_MultiturnWithServerConversations",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -548,7 +535,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step03_UsingFunctionTools",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -563,7 +550,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step04_UsingFunctionToolsWithApprovals",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             Inputs = ["Y", "Y", "Y"],
@@ -579,7 +566,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step05_StructuredOutput",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             MustContain = ["Assistant Output:", "Name:"],
@@ -594,7 +581,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step06_PersistedConversations",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -607,7 +594,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step08_DependencyInjection",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step08_DependencyInjection",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             Inputs = ["Tell me a joke about a pirate", ""],
@@ -622,7 +609,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step10_UsingImages",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step10_UsingImages",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -636,7 +623,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step11_AsFunctionTool",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step11_AsFunctionTool",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -650,7 +637,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step12_Middleware",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step12_Middleware",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             Inputs = ["Y", "Y", "Y"],
@@ -666,7 +653,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step13_Plugins",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step13_Plugins",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -680,7 +667,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step14_CodeInterpreter",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step14_CodeInterpreter",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -695,7 +682,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step16_FileSearch",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step16_FileSearch",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             MustContain = ["--- Running File Search Agent ---"],
@@ -709,7 +696,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step17_OpenAPITools",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step17_OpenAPITools",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -733,7 +720,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_A2A",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_A2A",
+            ProjectPath = "samples/02-agents/AgentProviders/a2a/Agent_With_A2A",
             RequiredEnvironmentVariables = ["A2A_AGENT_HOST"],
             SkipReason = "Requires an external A2A agent host.",
         },
@@ -741,7 +728,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_Anthropic",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_Anthropic",
+            ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic",
             RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
             OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME", "ANTHROPIC_RESOURCE"],
             ExpectedOutputDescription =
@@ -754,7 +741,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_GitHubCopilot",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_GitHubCopilot",
+            ProjectPath = "samples/02-agents/AgentProviders/github-copilot/Agent_With_GitHubCopilot",
             RequiredEnvironmentVariables = [],
             // The sample prompts for shell command approval; provide "Y" for each possible permission request
             Inputs = ["Y", "Y", "Y"],
@@ -769,7 +756,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_GoogleGemini",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_GoogleGemini",
+            ProjectPath = "samples/02-agents/AgentProviders/google-gemini/Agent_With_GoogleGemini",
             RequiredEnvironmentVariables = ["GOOGLE_GENAI_API_KEY"],
             OptionalEnvironmentVariables = ["GOOGLE_GENAI_MODEL"],
             MustContain =
@@ -787,7 +774,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_ONNX",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_ONNX",
+            ProjectPath = "samples/02-agents/AgentProviders/onnx/Agent_With_ONNX",
             RequiredEnvironmentVariables = ["ONNX_MODEL_PATH"],
             SkipReason = "Requires local ONNX model.",
         },
@@ -795,7 +782,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_Ollama",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_Ollama",
+            ProjectPath = "samples/02-agents/AgentProviders/ollama/Agent_With_Ollama",
             RequiredEnvironmentVariables = ["OLLAMA_ENDPOINT", "OLLAMA_MODEL_NAME"],
             SkipReason = "Requires local Ollama server.",
         },
@@ -803,7 +790,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_OpenAIChatCompletion",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_With_OpenAIChatCompletion",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -816,7 +803,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_With_OpenAIResponses",
-            ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIResponses",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_With_OpenAIResponses",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -856,7 +843,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_Anthropic_Step01_Running",
-            ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step01_Running",
+            ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running",
             RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
             OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -870,7 +857,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_Anthropic_Step02_Reasoning",
-            ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step02_Reasoning",
+            ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning",
             RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
             OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
             MustContain =
@@ -893,7 +880,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_Anthropic_Step03_UsingFunctionTools",
-            ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step03_UsingFunctionTools",
+            ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools",
             RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
             OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -907,7 +894,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_Anthropic_Step04_UsingSkills",
-            ProjectPath = "samples/02-agents/AgentWithAnthropic/Agent_Anthropic_Step04_UsingSkills",
+            ProjectPath = "samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills",
             RequiredEnvironmentVariables = ["ANTHROPIC_API_KEY"],
             OptionalEnvironmentVariables = ["ANTHROPIC_CHAT_MODEL_NAME"],
             MustContain =
@@ -934,7 +921,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_OpenAI_Step01_Running",
-            ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step01_Running",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -947,7 +934,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_OpenAI_Step02_Reasoning",
-            ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step02_Reasoning",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             MustContain =
@@ -967,7 +954,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_OpenAI_Step03_CreateFromChatClient",
-            ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step03_CreateFromChatClient",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -981,7 +968,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
-            ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             ExpectedOutputDescription =
@@ -995,7 +982,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "Agent_OpenAI_Step05_Conversation",
-            ProjectPath = "samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation",
+            ProjectPath = "samples/02-agents/AgentProviders/openai/Agent_OpenAI_Step05_Conversation",
             RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
             OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
             MustContain =
@@ -1042,7 +1029,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step07_Observability",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step07_Observability",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME", "APPLICATIONINSIGHTS_CONNECTION_STRING"],
             SkipReason = "Requires Application Insights / OpenTelemetry infrastructure.",
@@ -1051,7 +1038,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step09_UsingMcpClientAsTools",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step09_UsingMcpClientAsTools",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -1064,7 +1051,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step15_ComputerUse",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step15_ComputerUse",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription = ["The output should show a computer automation session processing simulated browser screenshots with iteration steps and a final response describing search results."],
@@ -1073,7 +1060,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step18_BingCustomSearch",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step18_BingCustomSearch",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "AZURE_AI_CUSTOM_SEARCH_CONNECTION_ID", "AZURE_AI_CUSTOM_SEARCH_INSTANCE_NAME"],
             SkipReason = "Requires Bing Custom Search connection.",
         },
@@ -1081,7 +1068,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step19_SharePoint",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step19_SharePoint",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "SHAREPOINT_PROJECT_CONNECTION_ID"],
             SkipReason = "Requires SharePoint connection.",
         },
@@ -1089,7 +1076,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step20_MicrosoftFabric",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step20_MicrosoftFabric",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "FABRIC_PROJECT_CONNECTION_ID"],
             SkipReason = "Requires Microsoft Fabric connection.",
         },
@@ -1097,7 +1084,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step21_WebSearch",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step21_WebSearch",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
@@ -1110,7 +1097,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step22_MemorySearch",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step22_MemorySearch",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT", "AZURE_AI_MODEL_DEPLOYMENT_NAME", "AZURE_AI_EMBEDDING_DEPLOYMENT_NAME"],
             OptionalEnvironmentVariables = ["AZURE_AI_MEMORY_STORE_ID"],
             MustContain = ["Agent created with Memory Search tool. Starting conversation..."],
@@ -1124,7 +1111,7 @@ internal static class AgentsSamples
         new SampleDefinition
         {
             Name = "FoundryAgent_Step23_LocalMCP",
-            ProjectPath = "samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP",
+            ProjectPath = "samples/02-agents/AgentProviders/foundry/Agent_Step23_LocalMCP",
             RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription = ["The output should show an agent using the Microsoft Learn MCP server to search for documentation and provide a response."],

dotnet/nuget/nuget-package.props

@@ -1,14 +1,14 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.9.0</VersionPrefix>
+    <VersionPrefix>1.10.0</VersionPrefix>
     <RCNumber>1</RCNumber>
-    <DateSuffix>260603</DateSuffix>
+    <DateSuffix>260610</DateSuffix>
     <PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
     <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).$(DateSuffix).1</PackageVersion>
     <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.$(DateSuffix).1</PackageVersion>
     <PackageVersion Condition="'$(IsReleased)' == 'true'">$(VersionPrefix)</PackageVersion>
-    <GitTag>1.9.0</GitTag>
+    <GitTag>1.10.0</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Program.cs

@@ -1,44 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-#pragma warning disable CS0618 // Type or member is obsolete - sample uses deprecated PersistentAgentsClientExtensions
-
-// This sample shows how to create and use a simple AI agent with Microsoft Foundry Agents as the backend.
-
-using Azure.AI.Agents.Persistent;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
-
-const string JokerName = "Joker";
-const string JokerInstructions = "You are good at telling jokes.";
-
-// Get a client to create/retrieve server side agents with.
-// 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.
-var persistentAgentsClient = new PersistentAgentsClient(endpoint, new DefaultAzureCredential());
-
-// You can create a server side persistent agent with the Azure.AI.Agents.Persistent SDK.
-var agentMetadata = await persistentAgentsClient.Administration.CreateAgentAsync(
-    model: deploymentName,
-    name: JokerName,
-    instructions: JokerInstructions);
-
-// You can retrieve an already created server side persistent agent as an AIAgent.
-AIAgent agent1 = await persistentAgentsClient.GetAIAgentAsync(agentMetadata.Value.Id);
-
-// You can also create a server side persistent agent and return it as an AIAgent directly.
-AIAgent agent2 = await persistentAgentsClient.CreateAIAgentAsync(
-    model: deploymentName,
-    name: JokerName,
-    instructions: JokerInstructions);
-
-// You can then invoke the agent like any other AIAgent.
-AgentSession session = await agent1.CreateSessionAsync();
-Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", session));
-
-// Cleanup for sample purposes.
-await persistentAgentsClient.Administration.DeleteAgentAsync(agent1.Id);
-await persistentAgentsClient.Administration.DeleteAgentAsync(agent2.Id);

dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/README.md

@@ -1,26 +0,0 @@
-# Classic Foundry Agents 
-
-This sample demonstrates how to create an agent using the classic Foundry Agents experience.
-
-# Classic vs New Foundry Agents
-
-Below is a comparison between the classic and new Foundry Agents approaches:
-
-[Migration Guide](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/migrate?view=foundry)
-
-# Prerequisites
-
-Before you begin, ensure you have the following prerequisites:
-
-- .NET 10 SDK or later
-- Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
-
-**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
-```

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

@@ -1,7 +1,8 @@
-# Creating an AIAgent instance for various providers
+# Creating an AIAgent with various providers
 
-These samples show how to create an AIAgent instance using various providers.
-This is not an exhaustive list, but shows a variety of the more popular options.
+These samples show how to create an AIAgent instance using various providers,
+organized by provider. This is not an exhaustive list, but shows a variety of
+the more popular options.
 
 For other samples that demonstrate how to use AIAgent instances,
 see the [Getting Started With Agents](../Agents/README.md) samples.
@@ -10,54 +11,88 @@ see the [Getting Started With Agents](../Agents/README.md) samples.
 
 See the README.md for each sample for the prerequisites for that sample.
 
-## Samples
+## Providers
 
-|Sample|Description|
-|---|---|
-|[Creating an AIAgent with A2A](./Agent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
-|[Creating an AIAgent with Anthropic](./Agent_With_Anthropic/)|This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service|
-|[Creating an AIAgent with Foundry Agents using Azure.AI.Agents.Persistent](./Agent_With_AzureAIAgentsPersistent/)|This sample demonstrates how to create a Foundry Persistent agent and expose it as an AIAgent using the Azure.AI.Agents.Persistent SDK|
-|[Creating an AIAgent with Foundry Agents using Azure.AI.Project](./Agent_With_AzureAIProject/)|This sample demonstrates how to create an Foundry Project agent and expose it as an AIAgent using the Azure.AI.Project SDK|
-|[Creating an AIAgent with Foundry Model](./Agent_With_AzureFoundryModel/)|This sample demonstrates how to use any model deployed to Microsoft Foundry to create an AIAgent|
-|[Creating an AIAgent with Azure OpenAI ChatCompletion](./Agent_With_AzureOpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service|
-|[Creating an AIAgent with Azure OpenAI Responses](./Agent_With_AzureOpenAIResponses/)|This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service|
-|[Creating an AIAgent with a custom implementation](./Agent_With_CustomImplementation/)|This sample demonstrates how to create an AIAgent with a custom implementation|
-|[Creating an AIAgent with GitHub Copilot](./Agent_With_GitHubCopilot/)|This sample demonstrates how to create an AIAgent using GitHub Copilot SDK as the underlying inference service|
-|[Creating an AIAgent with Ollama](./Agent_With_Ollama/)|This sample demonstrates how to create an AIAgent using Ollama as the underlying inference service|
-|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
-|[Creating an AIAgent with OpenAI ChatCompletion](./Agent_With_OpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service|
-|[Creating an AIAgent with OpenAI Responses](./Agent_With_OpenAIResponses/)|This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service|
+### [A2A](./a2a/)
 
-## Running the samples from the console
+| Sample | Description |
+| --- | --- |
+| [Agent with A2A](./a2a/Agent_With_A2A/) | Create an AIAgent for an existing A2A agent |
 
-To run the samples, navigate to the desired sample directory, e.g.
+### [Anthropic](./anthropic/)
 
-```powershell
-cd AIAgent_With_AzureOpenAIChatCompletion
-```
+| Sample | Description |
+| --- | --- |
+| [Agent with Anthropic](./anthropic/Agent_With_Anthropic/) | Create an AIAgent using Anthropic Claude models |
+| [Running](./anthropic/Agent_Anthropic_Step01_Running/) | Basic Anthropic agent usage |
+| [Reasoning](./anthropic/Agent_Anthropic_Step02_Reasoning/) | Using Anthropic reasoning capabilities |
+| [Function Tools](./anthropic/Agent_Anthropic_Step03_UsingFunctionTools/) | Using function tools with Anthropic |
+| [Skills](./anthropic/Agent_Anthropic_Step04_UsingSkills/) | Using skills with Anthropic agents |
 
-Set the required environment variables as documented in the sample readme.
-If the variables are not set, you will be prompted for the values when running the samples.
-Execute the following command to build the sample:
+### [Azure](./azure/)
 
-```powershell
-dotnet build
-```
+| Sample | Description |
+| --- | --- |
+| [Azure AI Project](./azure/Agent_With_AzureAIProject/) | Create a Foundry Project agent using the Azure.AI.Project SDK |
+| [Azure Foundry Model](./azure/Agent_With_AzureFoundryModel/) | Use any model deployed to Microsoft Foundry |
+| [Azure OpenAI ChatCompletion](./azure/Agent_With_AzureOpenAIChatCompletion/) | Create an AIAgent using Azure OpenAI ChatCompletion |
+| [Azure OpenAI Responses](./azure/Agent_With_AzureOpenAIResponses/) | Create an AIAgent using Azure OpenAI Responses |
 
-Execute the following command to run the sample:
+### [Custom](./custom/)
 
-```powershell
-dotnet run --no-build
-```
+| Sample | Description |
+| --- | --- |
+| [Custom Implementation](./custom/Agent_With_CustomImplementation/) | Create an AIAgent with a custom implementation |
 
-Or just build and run in one step:
+### [Foundry](./foundry/)
+
+See [foundry/README.md](./foundry/README.md) for the full list of Foundry agent samples,
+covering basics, function tools, structured output, middleware, MCP, code interpreter, and more.
+
+### [GitHub Copilot](./github-copilot/)
+
+| Sample | Description |
+| --- | --- |
+| [GitHub Copilot](./github-copilot/Agent_With_GitHubCopilot/) | Create an AIAgent using GitHub Copilot SDK |
+
+### [Google Gemini](./google-gemini/)
+
+| Sample | Description |
+| --- | --- |
+| [Google Gemini](./google-gemini/Agent_With_GoogleGemini/) | Create an AIAgent using Google Gemini |
+
+### [Ollama](./ollama/)
+
+| Sample | Description |
+| --- | --- |
+| [Ollama](./ollama/Agent_With_Ollama/) | Create an AIAgent using Ollama |
+
+### [ONNX](./onnx/)
+
+| Sample | Description |
+| --- | --- |
+| [ONNX](./onnx/Agent_With_ONNX/) | Create an AIAgent using ONNX Runtime |
+
+### [OpenAI](./openai/)
+
+| Sample | Description |
+| --- | --- |
+| [OpenAI ChatCompletion](./openai/Agent_With_OpenAIChatCompletion/) | Create an AIAgent using OpenAI ChatCompletion |
+| [OpenAI Responses](./openai/Agent_With_OpenAIResponses/) | Create an AIAgent using OpenAI Responses |
+| [Running](./openai/Agent_OpenAI_Step01_Running/) | Basic OpenAI agent usage |
+| [Reasoning](./openai/Agent_OpenAI_Step02_Reasoning/) | Using OpenAI reasoning capabilities |
+| [Create from ChatClient](./openai/Agent_OpenAI_Step03_CreateFromChatClient/) | Create agent from IChatClient |
+| [Create from Response Client](./openai/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/) | Create agent from OpenAI Response client |
+| [Conversation](./openai/Agent_OpenAI_Step05_Conversation/) | Multi-turn conversations with OpenAI |
+| [Code Interpreter](./openai/Agent_OpenAI_Step06_CodeInterpreterFileDownload/) | Code interpreter with file downloads |
+
+## Running the samples
+
+Navigate to a sample directory and run:
 
 ```powershell
 dotnet run
 ```
 
-## Running the samples from Visual Studio
-
-Open the solution in Visual Studio and set the desired sample project as the startup project. Then, run the project using the built-in debugger or by pressing `F5`.
-
-You will be prompted for any required environment variables if they are not already set.
+Set the required environment variables as documented in each sample's README.
+If the variables are not set, you will be prompted for the values when running the samples.

dotnet/samples/02-agents/AgentProviders/a2a/Agent_With_A2A/Agent_With_A2A.csproj

@@ -13,7 +13,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.A2A\Microsoft.Agents.AI.A2A.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running/Agent_Anthropic_Step01_Running.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step01_Running/README.md

@@ -1,4 +1,4 @@
-# Running a simple agent with Anthropic
+# Running a simple agent with Anthropic
 
 This sample demonstrates how to create and run a basic agent with Anthropic Claude models.
 
@@ -26,10 +26,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model"  # Replace with your Anthr
 
 ## Run the sample
 
-Navigate to the AgentWithAnthropic sample directory and run:
+Navigate to the Anthropic sample directory and run:
 
 ```powershell
-cd dotnet\samples\02-agents\AgentWithAnthropic
+cd dotnet\samples\02-agents\AgentProviders\anthropic
 dotnet run --project .\Agent_Anthropic_Step01_Running
 ```
 
@@ -41,3 +41,4 @@ The sample will:
 2. Run the agent with a simple prompt
 3. Display the agent's response
 
+

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning/Agent_Anthropic_Step02_Reasoning.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step02_Reasoning/README.md

@@ -1,4 +1,4 @@
-# Using reasoning with Anthropic agents
+# Using reasoning with Anthropic agents
 
 This sample demonstrates how to use extended thinking/reasoning capabilities with Anthropic Claude agents.
 
@@ -28,10 +28,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model"  # Replace with your Anthr
 
 ## Run the sample
 
-Navigate to the AgentWithAnthropic sample directory and run:
+Navigate to the Anthropic sample directory and run:
 
 ```powershell
-cd dotnet\samples\02-agents\AgentWithAnthropic
+cd dotnet\samples\02-agents\AgentProviders\anthropic
 dotnet run --project .\Agent_Anthropic_Step02_Reasoning
 ```
 
@@ -44,3 +44,4 @@ The sample will:
 3. Display the agent's thinking process
 4. Display the agent's final response
 
+

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools/Agent_Anthropic_Step03_UsingFunctionTools.csproj

@@ -0,0 +1,15 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net10.0</TargetFramework>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step03_UsingFunctionTools/README.md

@@ -1,4 +1,4 @@
-# Using Function Tools with Anthropic agents
+# Using Function Tools with Anthropic agents
 
 This sample demonstrates how to use function tools with Anthropic Claude agents, allowing agents to call custom functions to retrieve information.
 
@@ -28,10 +28,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model"  # Replace with your Anthr
 
 ## Run the sample
 
-Navigate to the AgentWithAnthropic sample directory and run:
+Navigate to the Anthropic sample directory and run:
 
 ```powershell
-cd dotnet\samples\02-agents\AgentWithAnthropic
+cd dotnet\samples\02-agents\AgentProviders\anthropic
 dotnet run --project .\Agent_Anthropic_Step03_UsingFunctionTools
 ```
 
@@ -45,3 +45,4 @@ The sample will:
 4. Run the agent again with streaming to display the response as it's generated
 5. Clean up resources by deleting the agent
 
+

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills/Agent_Anthropic_Step04_UsingSkills.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_Anthropic_Step04_UsingSkills/README.md

@@ -1,4 +1,4 @@
-# Using Anthropic Skills with agents
+# Using Anthropic Skills with agents
 
 This sample demonstrates how to use Anthropic-managed Skills with AI agents. Skills are pre-built capabilities provided by Anthropic that can be used with the Claude API.
 
@@ -29,10 +29,10 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="your-anthropic-model"  # Replace with your Anthr
 
 ## Run the sample
 
-Navigate to the AgentWithAnthropic sample directory and run:
+Navigate to the Anthropic sample directory and run:
 
 ```powershell
-cd dotnet\samples\02-agents\AgentWithAnthropic
+cd dotnet\samples\02-agents\AgentProviders\anthropic
 dotnet run --project .\Agent_Anthropic_Step04_UsingSkills
 ```
 
@@ -117,3 +117,4 @@ foreach (HostedFileContent file in hostedFiles)
     await contentStream.CopyToAsync(fileStream);
 }
 ```
+

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic/Agent_With_Anthropic.csproj

@@ -15,7 +15,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/anthropic/Agent_With_Anthropic/README.md

@@ -1,4 +1,4 @@
-# Creating an AIAgent with Anthropic
+# Creating an AIAgent with Anthropic
 
 This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service.
 
@@ -51,3 +51,4 @@ $env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5"  # Optional, defaults to claud
 ```
 
 **Note**: When using Microsoft Foundry with Azure CLI, make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+

dotnet/samples/02-agents/AgentProviders/anthropic/README.md

@@ -1,4 +1,4 @@
-# Getting started with agents using Anthropic
+# Getting started with agents using Anthropic
 
 The getting started with agents using Anthropic samples demonstrate the fundamental concepts and functionalities
 of single agents using Anthropic as the AI provider.
@@ -6,7 +6,7 @@ of single agents using Anthropic as the AI provider.
 These samples use Anthropic Claude models as the AI provider and use ChatCompletion as the type of service.
 
 For other samples that demonstrate how to create and configure each type of agent that come with the agent framework,
-see the [How to create an agent for each provider](../AgentProviders/README.md) samples.
+see the [How to create an agent for each provider](../README.md) samples.
 
 ## Getting started with agents using Anthropic prerequisites
 
@@ -20,7 +20,7 @@ Before you begin, ensure you have the following prerequisites:
 
 ## Using Anthropic with Microsoft Foundry
 
-To use Anthropic with Microsoft Foundry, you can check the sample [AgentProviders/Agent_With_Anthropic](../AgentProviders/Agent_With_Anthropic/README.md) for more details.
+To use Anthropic with Microsoft Foundry, you can check the sample [providers/Agent_With_Anthropic](./Agent_With_Anthropic/README.md) for more details.
 
 ## Samples
 

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject/Agent_With_AzureAIProject.csproj

@@ -15,7 +15,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject/Program.cs

@@ -8,8 +8,8 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry;
 
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
 
 const string JokerName = "JokerAgent";
 

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureAIProject/README.md

@@ -1,4 +1,4 @@
-# New Foundry Agents 
+# New Foundry Agents 
 
 This sample demonstrates how to create an agent using the new Foundry Agents experience. 
 
@@ -21,6 +21,6 @@ Before you begin, ensure you have the following prerequisites:
 Set the following environment variables:
 
 ```powershell
-$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
+$env:FOUNDRY_MODEL="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel/Agent_With_AzureFoundryModel.csproj

@@ -13,7 +13,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel/Program.cs

@@ -13,7 +13,7 @@ using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
 var apiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
-var model = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "Phi-4-mini-instruct";
+var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "Phi-4-mini-instruct";
 
 // Since we are using the OpenAI Client SDK, we need to override the default endpoint to point to Microsoft Foundry.
 var clientOptions = new OpenAIClientOptions() { Endpoint = new Uri(endpoint) };

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureFoundryModel/README.md

@@ -1,4 +1,4 @@
-## Overview
+## Overview
 
 This sample shows how to use the OpenAI SDK to create and use a simple AI agent with any model hosted in Microsoft Foundry.
 
@@ -13,7 +13,7 @@ Before you begin, ensure you have the following prerequisites:
 - .NET 10 SDK or later
 - Microsoft Foundry resource
 - A model deployment in your Microsoft Foundry resource. This example defaults to using the `Phi-4-mini-instruct` model,
-so if you want to use a different model, ensure that you set your `AZURE_AI_MODEL_DEPLOYMENT_NAME` environment
+so if you want to use a different model, ensure that you set your `FOUNDRY_MODEL` environment
 variable to the name of your deployed model.
 - An API key or role based authentication to access the Microsoft Foundry resource
 
@@ -30,5 +30,5 @@ $env:AZURE_OPENAI_ENDPOINT="https://ai-foundry-<myresourcename>.services.ai.azur
 $env:AZURE_OPENAI_API_KEY="************"
 
 # Optional, defaults to Phi-4-mini-instruct
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="Phi-4-mini-instruct"
+$env:FOUNDRY_MODEL="Phi-4-mini-instruct"
 ```

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj

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

dotnet/samples/02-agents/AgentProviders/azure/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj

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

dotnet/samples/02-agents/AgentProviders/custom/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle/Agent_Step00_FoundryAgentLifecycle.csproj

@@ -14,7 +14,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle/Program.cs

@@ -9,13 +9,16 @@ using Azure.AI.Projects.Agents;
 using Azure.Identity;
 using Microsoft.Agents.AI.Foundry;
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
 
 const string JokerName = "JokerAgent";
 
 // Create the AIProjectClient to manage server-side agents.
-AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
+// 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 aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
 
 // Create a server-side agent version using the native SDK.
 ProjectsAgentVersion agentVersion = await aiProjectClient.AgentAdministrationClient.CreateAgentVersionAsync(

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step00_FoundryAgentLifecycle/README.md

@@ -1,4 +1,4 @@
-# Agent Step 00 - FoundryAgent Lifecycle
+# Agent Step 00 - FoundryAgent Lifecycle
 
 This sample demonstrates the full lifecycle of a `FoundryAgent` backed by a server-side versioned agent in Microsoft Foundry: create → run → delete.
 
@@ -6,18 +6,19 @@ This sample demonstrates the full lifecycle of a `FoundryAgent` backed by a serv
 
 - A Microsoft Foundry project endpoint
 - A model deployment name (defaults to `gpt-5.4-mini`)
-- Azure CLI installed and authenticated
+- An authenticated Azure identity (for example, sign in with `az login`)
 
 ## Environment Variables
 
 | Variable | Description | Required |
 | --- | --- | --- |
-| `AZURE_AI_PROJECT_ENDPOINT` | Microsoft Foundry project endpoint | Yes |
-| `AZURE_AI_MODEL_DEPLOYMENT_NAME` | Model deployment name | No (defaults to `gpt-5.4-mini`) |
+| `FOUNDRY_PROJECT_ENDPOINT` | Microsoft Foundry project endpoint | Yes |
+| `FOUNDRY_MODEL` | Model deployment name | No (defaults to `gpt-5.4-mini`) |
 
 ## Running the sample
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step00_FoundryAgentLifecycle
 ```
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics/Agent_Step01_Basics.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics/Program.cs

@@ -6,8 +6,8 @@ using Azure.AI.Projects;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step01_Basics/README.md

@@ -14,23 +14,23 @@ Before you begin, ensure you have the following prerequisites:
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
+- An authenticated Azure identity (for example, sign in with `az login`)
 
-**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+**Note**: This sample uses `DefaultAzureCredential`. `az login` is the easiest local development path, but Visual Studio, VS Code, and managed identity credentials also work when available.
 
 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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
-Navigate to the AgentsWithFoundry sample directory and run:
+Navigate to the Foundry sample directory and run:
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step01_Basics
 ```
 
@@ -53,3 +53,4 @@ AIAgent agent = new ChatClientAgent(
 ```
 
 This approach is useful when you need to customize the chat client pipeline or swap providers (e.g., Anthropic, OpenAI) while keeping the same agent code.
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation/Agent_Step02.1_MultiturnConversation.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation/Program.cs

@@ -7,8 +7,8 @@ using Azure.AI.Projects;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step02.1_MultiturnConversation/README.md

@@ -15,22 +15,23 @@ Before you begin, ensure you have the following prerequisites:
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
+- An authenticated Azure identity (for example, sign in with `az login`)
 
-**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+**Note**: This sample uses `DefaultAzureCredential`. `az login` is the easiest local development path, but Visual Studio, VS Code, and managed identity credentials also work when available.
 
 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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
-Navigate to the AgentsWithFoundry sample directory and run:
+Navigate to the Foundry sample directory and run:
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step02.1_MultiturnConversation
 ```
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations/Agent_Step02.2_MultiturnWithServerConversations.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations/Program.cs

@@ -9,8 +9,8 @@ using Azure.AI.Projects;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step02.2_MultiturnWithServerConversations/README.md

@@ -15,22 +15,23 @@ Before you begin, ensure you have the following prerequisites:
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
+- An authenticated Azure identity (for example, sign in with `az login`)
 
-**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+**Note**: This sample uses `DefaultAzureCredential`. `az login` is the easiest local development path, but Visual Studio, VS Code, and managed identity credentials also work when available.
 
 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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
-Navigate to the AgentsWithFoundry sample directory and run:
+Navigate to the Foundry sample directory and run:
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step02.2_MultiturnWithServerConversations
 ```
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools/Agent_Step03_UsingFunctionTools.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools/Program.cs

@@ -15,8 +15,8 @@ static string GetWeather([Description("The location to get the weather for.")] s
 // Define the function tool.
 AITool tool = AIFunctionFactory.Create(GetWeather);
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step03_UsingFunctionTools/README.md

@@ -16,22 +16,23 @@ Before you begin, ensure you have the following prerequisites:
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (for Azure credential authentication)
+- An authenticated Azure identity (for example, sign in with `az login`)
 
-**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Microsoft Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+**Note**: This sample uses `DefaultAzureCredential`. `az login` is the easiest local development path, but Visual Studio, VS Code, and managed identity credentials also work when available.
 
 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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
-Navigate to the AgentsWithFoundry sample directory and run:
+Navigate to the Foundry sample directory and run:
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step03_UsingFunctionTools
 ```
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs

@@ -12,8 +12,8 @@ using Microsoft.Extensions.AI;
 static string GetWeather([Description("The location to get the weather for.")] string location)
     => $"The weather in {location} is cloudy with a high of 15°C.";
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md

@@ -13,18 +13,19 @@ This sample demonstrates how to use function tools that require human-in-the-loo
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (`az login`)
+- An authenticated Azure identity (for example, sign in with `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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step04_UsingFunctionToolsWithApprovals
 ```
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput/Program.cs

@@ -12,8 +12,8 @@ using SampleApp;
 
 #pragma warning disable CA5399
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step05_StructuredOutput/README.md

@@ -12,18 +12,19 @@ This sample demonstrates how to configure an agent to produce structured output
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (`az login`)
+- An authenticated Azure identity (for example, sign in with `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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step05_StructuredOutput
 ```
+

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj

@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations/Program.cs

@@ -7,8 +7,8 @@ using Azure.AI.Projects;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 
-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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "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

dotnet/samples/02-agents/AgentProviders/foundry/Agent_Step06_PersistedConversations/README.md

@@ -13,18 +13,19 @@ This sample demonstrates how to persist and resume agent conversations using ses
 
 - .NET 10 SDK or later
 - Microsoft Foundry service endpoint and deployment configured
-- Azure CLI installed and authenticated (`az login`)
+- An authenticated Azure identity (for example, sign in with `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"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"
 ```
 
 ## Run the sample
 
 ```powershell
-cd dotnet/samples/02-agents/AgentsWithFoundry
+cd dotnet/samples/02-agents/AgentProviders/foundry
 dotnet run --project .\Agent_Step06_PersistedConversations
 ```
+