.NET: Restore ambient client-header scope between non-streaming ClientHeadersAgent runs (#6517)

* Restore ambient client-header scope between non-streaming runs (#6516)

Make ClientHeadersAgent.RunCoreAsync async + await so the per-run
ClientHeadersScope is unwound on return, matching the streaming path.

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

* Assert per-run on wire instead of brittle exact request count

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

---------

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

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

.github/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}.`,
@@ -63,24 +68,37 @@ function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount })
 }
 
 async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
-  const query = `repo:${owner}/${repo} is:pr is:open author:${author}`;
-  const response = await github.rest.search.issuesAndPullRequests({
-    q: query,
+  const openPullRequests = await github.paginate(github.rest.pulls.list, {
+    owner,
+    repo,
+    state: 'open',
     per_page: 100,
   });
 
-  const indexedPrNumbers = response.data.items.map((item) => item.number);
-  const currentPrIsIndexed = indexedPrNumbers.includes(pullRequestNumber);
-  if (currentPrIsIndexed || response.data.total_count >= 100) {
-    return response.data.total_count;
-  }
+  const authorOpenPullRequestNumbers = openPullRequests
+    .filter((pullRequest) => pullRequest.user?.login === author)
+    .map((pullRequest) => pullRequest.number);
+  const currentPrIsOpen = authorOpenPullRequestNumbers.includes(pullRequestNumber);
+  const existingOpenPrCount = currentPrIsOpen
+    ? authorOpenPullRequestNumbers.length - 1
+    : authorOpenPullRequestNumbers.length;
 
-  return response.data.total_count + 1;
+  return existingOpenPrCount + 1;
 }
 
 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,
         },
       },
     },
@@ -44,23 +45,20 @@ function createCore() {
   };
 }
 
-function createGithub({ totalCount, itemNumbers, labelExists = true }) {
+function createGithub({
+  itemNumbers,
+  labelExists = true,
+  pullRequests = createPullRequestPage({ numbers: itemNumbers }),
+}) {
   const calls = [];
 
   return {
     calls,
+    async paginate(method, params) {
+      calls.push({ api: 'paginate', method, params });
+      return pullRequests;
+    },
     rest: {
-      search: {
-        async issuesAndPullRequests(params) {
-          calls.push({ api: 'search.issuesAndPullRequests', params });
-          return {
-            data: {
-              total_count: totalCount,
-              items: itemNumbers.map((number) => ({ number })),
-            },
-          };
-        },
-      },
       issues: {
         async getLabel(params) {
           calls.push({ api: 'issues.getLabel', params });
@@ -85,6 +83,10 @@ function createGithub({ totalCount, itemNumbers, labelExists = true }) {
         },
       },
       pulls: {
+        async list(params) {
+          calls.push({ api: 'pulls.list', params });
+          return { data: pullRequests };
+        },
         async update(params) {
           calls.push({ api: 'pulls.update', params });
           return { data: { state: params.state } };
@@ -94,6 +96,15 @@ function createGithub({ totalCount, itemNumbers, labelExists = true }) {
   };
 }
 
+function createPullRequestPage({ author = 'community-user', numbers }) {
+  return numbers.map((number) => ({
+    number,
+    user: {
+      login: author,
+    },
+  }));
+}
+
 
 // ---------------------------------------------------------------------------
 // PR limit enforcement
@@ -102,7 +113,6 @@ function createGithub({ totalCount, itemNumbers, labelExists = true }) {
 describe('PR limit enforcement', () => {
   it('does not close the PR when the author is at the open PR limit', async () => {
     const github = createGithub({
-      totalCount: 10,
       itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
     });
 
@@ -119,14 +129,13 @@ describe('PR limit enforcement', () => {
     assert.equal(result.openPrCount, 10);
     assert.deepEqual(
       github.calls.map((call) => call.api),
-      ['search.issuesAndPullRequests'],
+      ['paginate'],
     );
   });
 
-  it('counts the new PR when search has not indexed it yet', async () => {
+  it('counts the new PR when the pull list includes it', async () => {
     const github = createGithub({
-      totalCount: 10,
-      itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+      itemNumbers: [123, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
     });
 
     const result = await enforcePrLimit({
@@ -143,7 +152,7 @@ describe('PR limit enforcement', () => {
     assert.deepEqual(
       github.calls.map((call) => call.api),
       [
-        'search.issuesAndPullRequests',
+        'paginate',
         'issues.getLabel',
         'issues.addLabels',
         'issues.createComment',
@@ -152,9 +161,31 @@ describe('PR limit enforcement', () => {
     );
   });
 
+  it('counts the current PR on top of existing open PRs', async () => {
+    const github = createGithub({
+      itemNumbers: [123, ...Array.from({ length: 24 }, (_, index) => index + 1)],
+      pullRequests: createPullRequestPage({
+        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
+      }),
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext(),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, true);
+    assert.equal(result.openPrCount, 26);
+    const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
+    assert.match(comment, /This PR would put you at 26 open pull requests/);
+  });
+
   it('creates the label when it does not already exist', async () => {
     const github = createGithub({
-      totalCount: 11,
       itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
       labelExists: false,
     });
@@ -172,7 +203,7 @@ describe('PR limit enforcement', () => {
     assert.deepEqual(
       github.calls.map((call) => call.api),
       [
-        'search.issuesAndPullRequests',
+        'paginate',
         'issues.getLabel',
         'issues.createLabel',
         'issues.addLabels',
@@ -188,7 +219,6 @@ describe('PR limit enforcement', () => {
 
   it('tolerates a 422 race when creating the label', async () => {
     const github = createGithub({
-      totalCount: 11,
       itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
       labelExists: false,
     });
@@ -212,7 +242,7 @@ describe('PR limit enforcement', () => {
     assert.deepEqual(
       github.calls.map((call) => call.api),
       [
-        'search.issuesAndPullRequests',
+        'paginate',
         'issues.getLabel',
         'issues.createLabel',
         'issues.addLabels',
@@ -224,8 +254,11 @@ describe('PR limit enforcement', () => {
 
   it('uses a diplomatic close message with the configured limit', async () => {
     const github = createGithub({
-      totalCount: 11,
       itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
+      pullRequests: createPullRequestPage({
+        author: 'octo-contributor',
+        numbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
+      }),
     });
 
     await enforcePrLimit({
@@ -246,7 +279,6 @@ describe('PR limit enforcement', () => {
 
   it('does not close an exempt PR when it is reopened', async () => {
     const github = createGithub({
-      totalCount: 11,
       itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
     });
 
@@ -265,10 +297,33 @@ describe('PR limit enforcement', () => {
     assert.deepEqual(github.calls, []);
   });
 
-  it('does not over-count when the current PR is not on the first search page', async () => {
+  it('does not close Dependabot PRs', async () => {
     const github = createGithub({
-      totalCount: 101,
-      itemNumbers: Array.from({ length: 100 }, (_, index) => index + 1),
+      itemNumbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
+      pullRequests: createPullRequestPage({
+        author: 'dependabot[bot]',
+        numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
+      }),
+    });
+
+    const result = await enforcePrLimit({
+      github,
+      context: createContext({ author: 'dependabot[bot]', authorType: 'Bot' }),
+      core: createCore(),
+      exemptLabelName: 'pr-limit-exempt',
+      maxOpenPrs: 10,
+      labelName: 'too-many-prs',
+    });
+
+    assert.equal(result.closed, false);
+    assert.equal(result.dependabotExempt, true);
+    assert.equal(result.openPrCount, null);
+    assert.deepEqual(github.calls, []);
+  });
+
+  it('counts the current PR when the author has more than one page of open PRs', async () => {
+    const github = createGithub({
+      itemNumbers: [123, ...Array.from({ length: 100 }, (_, index) => index + 1)],
     });
 
     const result = await enforcePrLimit({

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

@@ -48,6 +48,10 @@ jobs:
           filters: |
             dotnet:
               - 'dotnet/**'
+              - '!dotnet/AGENTS.md'
+              - '!dotnet/**/AGENTS.md'
+              - '!dotnet/.github/skills/*'
+              - '!dotnet/.github/skills/**'
             cosmosdb:
               - 'dotnet/src/Microsoft.Agents.AI.CosmosNoSql/**'
             # The Foundry hosted-agent IT is costly (builds a container, pushes to ACR,
@@ -121,6 +125,9 @@ jobs:
               python
               declarative-agents
 
+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
       - name: Setup dotnet
         uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
         with:
@@ -191,6 +198,9 @@ jobs:
               python
               declarative-agents
 
+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
       # Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
       - name: Start Azure Cosmos DB Emulator
         if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
@@ -365,6 +375,9 @@ jobs:
             dotnet
             python
 
+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
       - name: Setup dotnet
         uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
         with:
@@ -452,6 +465,9 @@ jobs:
             python
             declarative-agents
 
+      - name: Free runner disk space
+        uses: ./.github/actions/free-runner-disk-space
+
       - name: Setup dotnet
         uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
         with:

.github/workflows/dotnet-format.yml

@@ -10,6 +10,10 @@ on:
     branches: ["main", "feature*"]
     paths:
       - dotnet/**
+      - '!dotnet/AGENTS.md'
+      - '!dotnet/**/AGENTS.md'
+      - '!dotnet/.github/skills/*'
+      - '!dotnet/.github/skills/**'
       - '.github/workflows/dotnet-format.yml'
 
 concurrency:

.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
@@ -48,6 +49,10 @@ jobs:
           filters: |
             python:
               - 'python/**'
+              - '!python/AGENTS.md'
+              - '!python/**/AGENTS.md'
+              - '!python/.github/skills/*'
+              - '!python/.github/skills/**'
               - '.github/actions/setup-local-mcp-server/**'
               - '.github/workflows/python-merge-tests.yml'
               - '.github/workflows/python-integration-tests.yml'
@@ -85,6 +90,8 @@ 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 +665,58 @@ 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 +733,7 @@ jobs:
         python-tests-foundry,
         python-tests-foundry-hosting,
         python-tests-cosmos,
+        python-tests-github-copilot,
       ]
     runs-on: ubuntu-latest
     defaults:
@@ -735,6 +795,7 @@ 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-test-coverage-report.yml

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

.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
@@ -248,3 +250,4 @@ dotnet/filtered-*.slnx
 .omx/
 
 **/issues/
+.test_*

SUPPORT.md

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

docs/assets/SVG/Microsoft Foundry Agent Framework - Color.svg

@@ -0,0 +1,55 @@
+<svg width="256" height="256" viewBox="0 0 256 256" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect width="256" height="256" transform="matrix(-1 0 0 1 256 0)" fill="white"/>
+<path d="M163.006 36.0262C155.129 31.4785 145.424 31.4759 137.533 36.0284L104.002 55.3877C107.838 53.2763 112.07 52.2274 116.296 52.2248C120.633 52.2231 124.976 53.3247 128.871 55.5411L174.091 81.6479C175.11 82.2362 175.738 83.3236 175.738 84.5004V151.263C175.738 152.716 177.313 153.621 178.568 152.895L196.967 142.28C204.845 137.732 209.704 129.326 209.704 120.221V77.7299C209.704 68.6342 204.855 60.227 196.967 55.6697L190.983 52.2141C190.65 52.0008 190.313 51.7921 189.969 51.5933L163.006 36.0262Z" fill="url(#paint0_linear_481_4810)"/>
+<path d="M163.006 36.0262C155.129 31.4785 145.424 31.4759 137.533 36.0284L104.002 55.3877C107.838 53.2763 112.07 52.2274 116.296 52.2248C120.633 52.2231 124.976 53.3247 128.871 55.5411L174.091 81.6479C175.11 82.2362 175.738 83.3236 175.738 84.5004V151.263C175.738 152.716 177.313 153.621 178.568 152.895L196.967 142.28C204.845 137.732 209.704 129.326 209.704 120.221V77.7299C209.704 68.6342 204.855 60.227 196.967 55.6697L190.983 52.2141C190.65 52.0008 190.313 51.7921 189.969 51.5933L163.006 36.0262Z" fill="url(#paint1_linear_481_4810)"/>
+<path d="M103.548 55.6397L103.557 55.6451L104.002 55.3877C103.851 55.471 103.698 55.5531 103.548 55.6397Z" fill="url(#paint2_linear_481_4810)"/>
+<path d="M103.548 55.6397L103.557 55.6451L104.002 55.3877C103.851 55.471 103.698 55.5531 103.548 55.6397Z" fill="url(#paint3_linear_481_4810)"/>
+<path d="M116.308 52.2209C111.903 52.2271 107.507 53.3498 103.561 55.6366C95.6702 60.1891 90.8239 68.6019 90.8231 77.6986L90.8223 167.846C90.8222 169.786 92.871 171.041 94.599 170.16L103.523 165.611C116.573 158.959 124.788 145.549 124.788 130.902V62.9894C124.778 58.6476 129.49 55.9209 133.25 58.0698L128.879 55.5453C124.976 53.3242 120.645 52.2192 116.308 52.2209Z" fill="url(#paint4_linear_481_4810)"/>
+<path d="M95.3068 221.682C103.184 226.23 112.889 226.232 120.78 221.68L154.311 202.32C150.475 204.432 146.243 205.481 142.018 205.483C137.68 205.485 133.337 204.383 129.442 202.167L84.2226 176.06C83.2035 175.472 82.5757 174.384 82.5757 173.208L82.5757 106.445C82.5757 104.992 81 104.087 79.7451 104.813L61.3465 115.428C53.4682 119.976 48.6091 128.382 48.6089 137.487L48.6089 179.978C48.6089 189.074 53.4585 197.481 61.3465 202.038L67.3303 205.494C67.6629 205.707 68.0002 205.916 68.3446 206.115L95.3068 221.682Z" fill="url(#paint5_linear_481_4810)"/>
+<path d="M95.3068 221.682C103.184 226.23 112.889 226.232 120.78 221.68L154.311 202.32C150.475 204.432 146.243 205.481 142.018 205.483C137.68 205.485 133.337 204.383 129.442 202.167L84.2226 176.06C83.2035 175.472 82.5757 174.384 82.5757 173.208L82.5757 106.445C82.5757 104.992 81 104.087 79.7451 104.813L61.3465 115.428C53.4682 119.976 48.6091 128.382 48.6089 137.487L48.6089 179.978C48.6089 189.074 53.4585 197.481 61.3465 202.038L67.3303 205.494C67.6629 205.707 68.0002 205.916 68.3446 206.115L95.3068 221.682Z" fill="url(#paint6_linear_481_4810)"/>
+<path d="M154.765 202.068L154.756 202.063L154.311 202.32C154.463 202.237 154.615 202.155 154.765 202.068Z" fill="url(#paint7_linear_481_4810)"/>
+<path d="M154.765 202.068L154.756 202.063L154.311 202.32C154.463 202.237 154.615 202.155 154.765 202.068Z" fill="url(#paint8_linear_481_4810)"/>
+<path d="M142.003 205.487C146.408 205.481 150.805 204.358 154.751 202.071C162.641 197.519 167.488 189.106 167.488 180.009L167.489 89.8618C167.489 87.9222 165.44 86.667 163.712 87.5479L154.788 92.0972C141.739 98.7494 133.523 112.159 133.523 126.806L133.523 194.719C133.533 199.06 128.821 201.787 125.061 199.638L129.432 202.163C133.336 204.384 137.666 205.489 142.003 205.487Z" fill="url(#paint9_linear_481_4810)"/>
+<defs>
+<linearGradient id="paint0_linear_481_4810" x1="207.413" y1="61.882" x2="148.999" y2="163.067" gradientUnits="userSpaceOnUse">
+<stop stop-color="#9189F7"/>
+<stop offset="1" stop-color="#4135E9"/>
+</linearGradient>
+<linearGradient id="paint1_linear_481_4810" x1="188.235" y1="204.189" x2="264.21" y2="152.592" gradientUnits="userSpaceOnUse">
+<stop stop-color="#4F42FD"/>
+<stop offset="1" stop-color="#7274FF"/>
+</linearGradient>
+<linearGradient id="paint2_linear_481_4810" x1="207.413" y1="61.882" x2="148.999" y2="163.067" gradientUnits="userSpaceOnUse">
+<stop stop-color="#9189F7"/>
+<stop offset="1" stop-color="#4135E9"/>
+</linearGradient>
+<linearGradient id="paint3_linear_481_4810" x1="188.235" y1="204.189" x2="264.21" y2="152.592" gradientUnits="userSpaceOnUse">
+<stop stop-color="#4F42FD"/>
+<stop offset="1" stop-color="#7274FF"/>
+</linearGradient>
+<linearGradient id="paint4_linear_481_4810" x1="93.1761" y1="128.826" x2="66.2399" y2="104.746" gradientUnits="userSpaceOnUse">
+<stop offset="0.25" stop-color="#4F42FD"/>
+<stop offset="1" stop-color="#2C08AC"/>
+</linearGradient>
+<linearGradient id="paint5_linear_481_4810" x1="50.9004" y1="195.826" x2="109.315" y2="94.6412" gradientUnits="userSpaceOnUse">
+<stop stop-color="#9189F7"/>
+<stop offset="1" stop-color="#4135E9"/>
+</linearGradient>
+<linearGradient id="paint6_linear_481_4810" x1="70.0787" y1="53.5188" x2="-5.89657" y2="105.116" gradientUnits="userSpaceOnUse">
+<stop stop-color="#4F42FD"/>
+<stop offset="1" stop-color="#7274FF"/>
+</linearGradient>
+<linearGradient id="paint7_linear_481_4810" x1="50.9004" y1="195.826" x2="109.315" y2="94.6412" gradientUnits="userSpaceOnUse">
+<stop stop-color="#9189F7"/>
+<stop offset="1" stop-color="#4135E9"/>
+</linearGradient>
+<linearGradient id="paint8_linear_481_4810" x1="70.0787" y1="53.5188" x2="-5.89657" y2="105.116" gradientUnits="userSpaceOnUse">
+<stop stop-color="#4F42FD"/>
+<stop offset="1" stop-color="#7274FF"/>
+</linearGradient>
+<linearGradient id="paint9_linear_481_4810" x1="165.135" y1="128.882" x2="192.072" y2="152.962" gradientUnits="userSpaceOnUse">
+<stop offset="0.25" stop-color="#4F42FD"/>
+<stop offset="1" stop-color="#2C08AC"/>
+</linearGradient>
+</defs>
+</svg>

docs/assets/SVG/Microsoft Foundry Agent Framework - Fill (Black).svg

@@ -0,0 +1,5 @@
+<svg width="256" height="256" viewBox="0 0 256 256" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect width="256" height="256" transform="matrix(-1 0 0 1 256 0)" fill="white"/>
+<path d="M167.489 89.8618C167.489 87.9224 165.441 86.667 163.713 87.5473L154.788 92.0971C141.739 98.7493 133.523 112.159 133.523 126.806V194.718C133.533 199.053 128.837 201.777 125.08 199.647L84.2227 176.06C83.2036 175.472 82.5762 174.384 82.5762 173.207V106.445C82.5759 104.992 80.9999 104.087 79.7451 104.813L61.3467 115.428C53.4685 119.976 48.6096 128.382 48.6094 137.487V179.978C48.6094 189.074 53.4588 197.481 61.3467 202.039L67.3301 205.494C67.6627 205.707 68.0004 205.916 68.3447 206.115L95.3066 221.682C103.184 226.23 112.889 226.232 120.779 221.679L154.312 202.32C154.271 202.342 154.23 202.362 154.189 202.384C154.283 202.333 154.375 202.281 154.468 202.229L154.312 202.32C154.463 202.237 154.615 202.154 154.765 202.068L154.762 202.065C162.646 197.511 167.487 189.102 167.488 180.009L167.489 89.8618Z" fill="black"/>
+<path d="M163.007 36.0259C155.13 31.4781 145.424 31.4763 137.533 36.0288L104.002 55.3882C104.029 55.3732 104.057 55.359 104.084 55.3442C104.02 55.3794 103.956 55.4159 103.893 55.4516L104.002 55.3882C103.851 55.4714 103.699 55.5536 103.549 55.6401L103.552 55.6411C95.6664 60.1948 90.8241 68.6053 90.8232 77.6987L90.8223 167.846C90.8223 169.786 92.8707 171.04 94.5986 170.16L103.523 165.611C116.573 158.959 124.788 145.549 124.788 130.902V62.9897C124.778 58.6479 129.49 55.9211 133.25 58.0698L174.091 81.6479C175.11 82.2363 175.737 83.3238 175.737 84.5005V151.263C175.738 152.716 177.314 153.621 178.568 152.895L196.967 142.28C204.845 137.732 209.704 129.326 209.704 120.221V77.73C209.704 68.6343 204.855 60.2267 196.967 55.6694L190.982 52.2143C190.65 52.0011 190.313 51.792 189.969 51.5932L163.007 36.0259Z" fill="black"/>
+</svg>

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

@@ -0,0 +1,5 @@
+<svg width="256" height="256" viewBox="0 0 256 256" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect width="256" height="256" transform="matrix(-1 0 0 1 256 0)" fill="black"/>
+<path d="M167.489 89.8618C167.489 87.9224 165.441 86.667 163.713 87.5473L154.788 92.0971C141.739 98.7493 133.523 112.159 133.523 126.806V194.718C133.533 199.053 128.837 201.777 125.08 199.647L84.2227 176.06C83.2036 175.472 82.5762 174.384 82.5762 173.207V106.445C82.5759 104.992 80.9999 104.087 79.7451 104.813L61.3467 115.428C53.4685 119.976 48.6096 128.382 48.6094 137.487V179.978C48.6094 189.074 53.4588 197.481 61.3467 202.039L67.3301 205.494C67.6627 205.707 68.0004 205.916 68.3447 206.115L95.3066 221.682C103.184 226.23 112.889 226.232 120.779 221.679L154.312 202.32C154.271 202.342 154.23 202.362 154.189 202.384C154.283 202.333 154.375 202.281 154.468 202.229L154.312 202.32C154.463 202.237 154.615 202.154 154.765 202.068L154.762 202.065C162.646 197.511 167.487 189.102 167.488 180.009L167.489 89.8618Z" fill="white"/>
+<path d="M163.007 36.0259C155.13 31.4781 145.424 31.4763 137.533 36.0288L104.002 55.3882C104.029 55.3732 104.057 55.359 104.084 55.3442C104.02 55.3794 103.956 55.4159 103.893 55.4516L104.002 55.3882C103.851 55.4714 103.699 55.5536 103.549 55.6401L103.552 55.6411C95.6664 60.1948 90.8241 68.6053 90.8232 77.6987L90.8223 167.846C90.8223 169.786 92.8707 171.04 94.5986 170.16L103.523 165.611C116.573 158.959 124.788 145.549 124.788 130.902V62.9897C124.778 58.6479 129.49 55.9211 133.25 58.0698L174.091 81.6479C175.11 82.2363 175.737 83.3238 175.737 84.5005V151.263C175.738 152.716 177.314 153.621 178.568 152.895L196.967 142.28C204.845 137.732 209.704 129.326 209.704 120.221V77.73C209.704 68.6343 204.855 60.2267 196.967 55.6694L190.982 52.2143C190.65 52.0011 190.313 51.792 189.969 51.5932L163.007 36.0259Z" fill="white"/>
+</svg>

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

@@ -0,0 +1,4 @@
+<svg width="256" height="256" viewBox="0 0 256 256" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect width="256" height="256" transform="matrix(-1 0 0 1 256 0)" fill="white"/>
+<path d="M48.6094 179.978V137.487C48.6096 128.382 53.4685 119.976 61.3467 115.428L79.7451 104.813C80.9999 104.087 82.5759 104.992 82.5762 106.445V173.207C82.5762 174.384 83.2036 175.472 84.2227 176.06L125.08 199.647C128.837 201.777 133.533 199.053 133.523 194.718V126.806C133.523 112.388 141.484 99.1684 154.18 92.4135L154.788 92.0971L163.713 87.5473C165.441 86.667 167.489 87.9224 167.489 89.8618L167.488 180.009L167.474 180.86C167.181 189.624 162.399 197.653 154.762 202.065L154.765 202.068C154.615 202.154 154.463 202.237 154.312 202.32L154.468 202.229C154.375 202.281 154.283 202.333 154.189 202.384C154.23 202.362 154.271 202.342 154.312 202.32L120.779 221.679L120.034 222.092C112.534 226.093 103.539 226.092 96.0508 222.095L95.3066 221.682L68.3447 206.115C68.0004 205.916 67.6627 205.707 67.3301 205.494L61.3467 202.039C53.7053 197.624 48.9149 189.595 48.623 180.829L48.6094 179.978ZM175.737 84.5005C175.737 83.3974 175.186 82.3728 174.277 81.7641L174.091 81.6479L133.25 58.0698C129.49 55.9211 124.778 58.6479 124.788 62.9897V130.902L124.782 131.587C124.53 145.966 116.369 159.063 103.523 165.611L94.5986 170.16L94.4355 170.236C92.799 170.938 90.9459 169.803 90.8281 168.026L90.8223 167.846L90.8232 77.6987C90.8241 68.6053 95.6664 60.1948 103.552 55.6411L103.549 55.6401C103.699 55.5536 103.851 55.4714 104.002 55.3882L103.893 55.4516C103.956 55.4159 104.02 55.3794 104.084 55.3442C104.057 55.359 104.029 55.3732 104.002 55.3882L137.533 36.0288C145.424 31.4763 155.13 31.4781 163.007 36.0259L189.969 51.5932C190.313 51.792 190.65 52.0011 190.982 52.2143L196.967 55.6694C204.855 60.2267 209.704 68.6343 209.704 77.73V120.221L209.689 121.073C209.397 129.848 204.599 137.874 196.967 142.28L178.568 152.895C177.314 153.621 175.738 152.716 175.737 151.263V84.5005ZM176.814 149.866L176.819 149.864L176.832 149.856C176.826 149.859 176.82 149.862 176.814 149.866ZM137.023 194.71L137.019 195.038C136.802 201.878 129.341 206.087 123.354 202.692L123.33 202.678L82.4727 179.091C80.3698 177.877 79.0762 175.634 79.0762 173.207V109.239L63.0957 118.458C56.5124 122.259 52.3745 129.183 52.1221 136.752L52.1094 137.487V179.978C52.1094 187.823 56.2909 195.075 63.0957 199.007H63.0967L69.0801 202.462L69.1504 202.503L69.2188 202.547C69.5212 202.741 69.8111 202.92 70.0947 203.083L97.0566 218.651L97.6982 219.007C104.372 222.569 112.434 222.453 119.029 218.648L152.514 199.316L152.512 199.312C152.581 199.274 152.65 199.236 152.752 199.178L152.753 199.181C152.775 199.169 152.796 199.158 152.815 199.147L153.011 199.035C159.81 195.107 163.987 187.854 163.988 180.009V91.3344L156.378 95.2153C144.501 101.27 137.023 113.475 137.023 126.806V194.71ZM94.3223 166.372L101.934 162.493C113.811 156.438 121.288 144.233 121.288 130.902V62.9897C121.278 55.9521 128.901 51.5532 134.986 55.0307L135 55.0385L175.841 78.6167L176.036 78.7339C178.023 79.9714 179.237 82.15 179.237 84.5005V148.468L195.217 139.249C202.013 135.326 206.204 128.075 206.204 120.221V77.73C206.204 69.8848 202.022 62.6318 195.217 58.6997L189.232 55.2456L189.162 55.2046L189.094 55.1606C188.788 54.9649 188.5 54.787 188.219 54.6245L161.257 39.0571C154.463 35.135 146.091 35.1311 139.282 39.0591L139.283 39.06L105.765 58.4106L105.767 58.4135C105.713 58.443 105.723 58.4383 105.602 58.5063L105.6 58.5034C105.535 58.5391 105.481 58.5691 105.433 58.5962L105.302 58.6723C98.5016 62.5995 94.324 69.8532 94.3232 77.6987L94.3223 166.372Z" fill="black"/>
+</svg>

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

@@ -0,0 +1,4 @@
+<svg width="256" height="256" viewBox="0 0 256 256" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect width="256" height="256" transform="matrix(-1 0 0 1 256 0)" fill="black"/>
+<path d="M48.6094 179.978V137.487C48.6096 128.382 53.4685 119.976 61.3467 115.428L79.7451 104.813C80.9999 104.087 82.5759 104.992 82.5762 106.445V173.207C82.5762 174.384 83.2036 175.472 84.2227 176.06L125.08 199.647C128.837 201.777 133.533 199.053 133.523 194.718V126.806C133.523 112.388 141.484 99.1684 154.18 92.4135L154.788 92.0971L163.713 87.5473C165.441 86.667 167.489 87.9224 167.489 89.8618L167.488 180.009L167.474 180.86C167.181 189.624 162.399 197.653 154.762 202.065L154.765 202.068C154.615 202.154 154.463 202.237 154.312 202.32L154.468 202.229C154.375 202.281 154.283 202.333 154.189 202.384C154.23 202.362 154.271 202.342 154.312 202.32L120.779 221.679L120.034 222.092C112.534 226.093 103.539 226.092 96.0508 222.095L95.3066 221.682L68.3447 206.115C68.0004 205.916 67.6627 205.707 67.3301 205.494L61.3467 202.039C53.7053 197.624 48.9149 189.595 48.623 180.829L48.6094 179.978ZM175.737 84.5005C175.737 83.3974 175.186 82.3728 174.277 81.7641L174.091 81.6479L133.25 58.0698C129.49 55.9211 124.778 58.6479 124.788 62.9897V130.902L124.782 131.587C124.53 145.966 116.369 159.063 103.523 165.611L94.5986 170.16L94.4355 170.236C92.799 170.938 90.9459 169.803 90.8281 168.026L90.8223 167.846L90.8232 77.6987C90.8241 68.6053 95.6664 60.1948 103.552 55.6411L103.549 55.6401C103.699 55.5536 103.851 55.4714 104.002 55.3882L103.893 55.4516C103.956 55.4159 104.02 55.3794 104.084 55.3442C104.057 55.359 104.029 55.3732 104.002 55.3882L137.533 36.0288C145.424 31.4763 155.13 31.4781 163.007 36.0259L189.969 51.5932C190.313 51.792 190.65 52.0011 190.982 52.2143L196.967 55.6694C204.855 60.2267 209.704 68.6343 209.704 77.73V120.221L209.689 121.073C209.397 129.848 204.599 137.874 196.967 142.28L178.568 152.895C177.314 153.621 175.738 152.716 175.737 151.263V84.5005ZM176.814 149.866L176.819 149.864L176.832 149.856C176.826 149.859 176.82 149.862 176.814 149.866ZM137.023 194.71L137.019 195.038C136.802 201.878 129.341 206.087 123.354 202.692L123.33 202.678L82.4727 179.091C80.3698 177.877 79.0762 175.634 79.0762 173.207V109.239L63.0957 118.458C56.5124 122.259 52.3745 129.183 52.1221 136.752L52.1094 137.487V179.978C52.1094 187.823 56.2909 195.075 63.0957 199.007H63.0967L69.0801 202.462L69.1504 202.503L69.2188 202.547C69.5212 202.741 69.8111 202.92 70.0947 203.083L97.0566 218.651L97.6982 219.007C104.372 222.569 112.434 222.453 119.029 218.648L152.514 199.316L152.512 199.312C152.581 199.274 152.65 199.236 152.752 199.178L152.753 199.181C152.775 199.169 152.796 199.158 152.815 199.147L153.011 199.035C159.81 195.107 163.987 187.854 163.988 180.009V91.3344L156.378 95.2153C144.501 101.27 137.023 113.475 137.023 126.806V194.71ZM94.3223 166.372L101.934 162.493C113.811 156.438 121.288 144.233 121.288 130.902V62.9897C121.278 55.9521 128.901 51.5532 134.986 55.0307L135 55.0385L175.841 78.6167L176.036 78.7339C178.023 79.9714 179.237 82.15 179.237 84.5005V148.468L195.217 139.249C202.013 135.326 206.204 128.075 206.204 120.221V77.73C206.204 69.8848 202.022 62.6318 195.217 58.6997L189.232 55.2456L189.162 55.2046L189.094 55.1606C188.788 54.9649 188.5 54.787 188.219 54.6245L161.257 39.0571C154.463 35.135 146.091 35.1311 139.282 39.0591L139.283 39.06L105.765 58.4106L105.767 58.4135C105.713 58.443 105.723 58.4383 105.602 58.5063L105.6 58.5034C105.535 58.5391 105.481 58.5691 105.433 58.5962L105.302 58.6723C98.5016 62.5995 94.324 69.8532 94.3232 77.6987L94.3223 166.372Z" fill="white"/>
+</svg>

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)
 

dotnet/.github/skills/pull-requests

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

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

@@ -24,7 +24,6 @@
     <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" />
@@ -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" />
@@ -194,6 +194,8 @@
     <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" />
@@ -344,6 +346,12 @@
   <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>
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/HostedAzureSearchRag.csproj" />
   </Folder>
@@ -619,6 +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/">
@@ -672,5 +681,6 @@
     <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

@@ -50,19 +50,6 @@ 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",

dotnet/nuget/nuget-package.props

@@ -1,14 +1,14 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.8.0</VersionPrefix>
+    <VersionPrefix>1.10.0</VersionPrefix>
     <RCNumber>1</RCNumber>
-    <DateSuffix>260528</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>1.8.0</GitTag>
+    <GitTag>1.10.0</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

dotnet/samples/02-agents/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/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/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/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/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/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj

@@ -6,6 +6,7 @@
 
     <Nullable>enable</Nullable>
     <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);GHCP001</NoWarn>
   </PropertyGroup>
 
   <ItemGroup>

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

@@ -2,21 +2,22 @@
 
 // This sample shows how to create a GitHub Copilot agent with shell command permissions.
 
-using GitHub.Copilot.SDK;
+using GitHub.Copilot;
+using GitHub.Copilot.Rpc;
 using Microsoft.Agents.AI;
 
 // Permission handler that prompts the user for approval
-static Task<PermissionRequestResult> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
+static Task<PermissionDecision> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
 {
     Console.WriteLine($"\n[Permission Request: {request.Kind}]");
     Console.Write("Approve? (y/n): ");
 
     string? input = Console.ReadLine()?.Trim().ToUpperInvariant();
-    PermissionRequestResultKind kind = input is "Y" or "YES"
-                                     ? PermissionRequestResultKind.Approved
-                                     : PermissionRequestResultKind.Rejected;
+    PermissionDecision decision = input is "Y" or "YES"
+                                     ? PermissionDecision.ApproveOnce()
+                                     : PermissionDecision.Reject();
 
-    return Task.FromResult(new PermissionRequestResult { Kind = kind });
+    return Task.FromResult(decision);
 }
 
 // Create and start a Copilot client

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

@@ -36,7 +36,7 @@ dotnet run
 You can customize the agent by providing additional configuration:
 
 ```csharp
-using GitHub.Copilot.SDK;
+using GitHub.Copilot;
 using Microsoft.Agents.AI;
 
 // Create and start a Copilot client

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

@@ -16,7 +16,6 @@ See the README.md for each sample for the prerequisites for that sample.
 |---|---|
 |[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|

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

@@ -26,6 +26,9 @@ var skillsProvider = new AgentSkillsProvider(
     SubprocessScriptRunner.RunAsync);
 
 // --- Agent Setup ---
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
     .GetResponsesClient()
     .AsAIAgent(new ChatClientAgentOptions

dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/Program.cs

@@ -67,6 +67,9 @@ var unitConverterSkill = new AgentInlineSkill(
 var skillsProvider = new AgentSkillsProvider(unitConverterSkill);
 
 // --- Agent Setup ---
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
     .GetResponsesClient()
     .AsAIAgent(new ChatClientAgentOptions

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

@@ -22,6 +22,9 @@ var unitConverter = new UnitConverterSkill();
 var skillsProvider = new AgentSkillsProvider(unitConverter);
 
 // --- Agent Setup ---
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
     .GetResponsesClient()
     .AsAIAgent(new ChatClientAgentOptions

dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Program.cs

@@ -64,6 +64,9 @@ var skillsProvider = new AgentSkillsProviderBuilder()
     .Build();
 
 // --- Agent Setup ---
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
     .GetResponsesClient()
     .AsAIAgent(new ChatClientAgentOptions

dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Program.cs

@@ -80,6 +80,9 @@ var weightSkill = new WeightConverterSkill();
 var skillsProvider = new AgentSkillsProvider(distanceSkill, weightSkill);
 
 // --- Agent Setup ---
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
     .GetResponsesClient()
     .AsAIAgent(

dotnet/samples/02-agents/AgentWithCodeAct/AgentWithCodeAct_Step01_Interpreter/Program.cs

@@ -16,6 +16,9 @@ var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH
 
 using var codeAct = new HyperlightCodeActProvider(HyperlightCodeActProviderOptions.CreateForWasm(guestPath));
 
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new DefaultAzureCredential())

dotnet/samples/02-agents/AgentWithCodeAct/AgentWithCodeAct_Step02_ToolEnabled/Program.cs

@@ -39,6 +39,9 @@ options.Tools = [fetchDocs, queryData, sendEmail];
 
 using var codeAct = new HyperlightCodeActProvider(options);
 
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new DefaultAzureCredential())

dotnet/samples/02-agents/AgentWithCodeAct/AgentWithCodeAct_Step03_ManualWiring/Program.cs

@@ -31,6 +31,9 @@ var instructions =
     + "and calling `execute_code` instead of computing values yourself.\n\n"
     + executeCode.BuildInstructions(toolsVisibleToModel: false);
 
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new DefaultAzureCredential())

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey/AgentWithMemory_Step03_MemoryUsingValkey.csproj

@@ -0,0 +1,22 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Valkey\Microsoft.Agents.AI.Valkey.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey/Program.cs

@@ -0,0 +1,55 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates using Valkey for persistent chat history with the Agent Framework.
+// ValkeyChatHistoryProvider persists conversation history across sessions using Valkey lists.
+//
+// Prerequisites:
+//   - A running Valkey server (any version):
+//       docker run -d --name valkey -p 6379:6379 valkey/valkey:latest
+//   - Azure OpenAI endpoint and deployment configured via environment variables
+
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Valkey;
+using Microsoft.Extensions.AI;
+using OpenAI.Chat;
+using Valkey.Glide;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+var valkeyConnection = Environment.GetEnvironmentVariable("VALKEY_CONNECTION") ?? "localhost:6379";
+
+var connection = await ConnectionMultiplexer.ConnectAsync(valkeyConnection);
+
+Console.WriteLine("=== ValkeyChatHistoryProvider — Persistent Chat History ===\n");
+
+var historyProvider = new ValkeyChatHistoryProvider(
+    connection,
+    _ => new ValkeyChatHistoryProvider.State($"sample-{Guid.NewGuid():N}"),
+    new ValkeyChatHistoryProviderOptions
+    {
+        KeyPrefix = "sample_chat",
+        MaxMessages = 20
+    });
+
+AIAgent historyAgent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
+    .GetChatClient(deploymentName)
+    .AsAIAgent(new ChatClientAgentOptions()
+    {
+        ChatOptions = new() { Instructions = "You are a helpful assistant that remembers our conversation." },
+        ChatHistoryProvider = historyProvider
+    });
+
+AgentSession session1 = await historyAgent.CreateSessionAsync();
+Console.WriteLine(await historyAgent.RunAsync("Hello! My name is Alex and I'm a software engineer.", session1));
+Console.WriteLine(await historyAgent.RunAsync("I'm working on a project using Valkey for caching.", session1));
+Console.WriteLine(await historyAgent.RunAsync("What do you remember about me?", session1));
+
+var messageCount = await historyProvider.GetMessageCountAsync(session1);
+Console.WriteLine($"\n  Stored {messageCount} messages in Valkey.\n");
+
+// Clean up
+connection.Dispose();
+
+Console.WriteLine("Done!");

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey/README.md

@@ -0,0 +1,30 @@
+# Agent with Memory Using Valkey
+
+This sample demonstrates using Valkey for persistent chat history with the Agent Framework.
+
+## Components
+
+- **ValkeyChatHistoryProvider** — Persists conversation history across sessions using Valkey lists. Works with any Valkey or Redis OSS server (no search module required).
+
+## Prerequisites
+
+- Azure OpenAI endpoint and deployment
+- A running Valkey server (any version):
+
+```bash
+docker run -d --name valkey -p 6379:6379 valkey/valkey:latest
+```
+
+## Environment Variables
+
+| Variable | Description | Default |
+|---|---|---|
+| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL | (required) |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Model deployment name | `gpt-5.4-mini` |
+| `VALKEY_CONNECTION` | Valkey connection string | `localhost:6379` |
+
+## Running
+
+```bash
+dotnet run
+```

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock.csproj

@@ -0,0 +1,20 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="AWSSDK.Extensions.Bedrock.MEAI" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Valkey\Microsoft.Agents.AI.Valkey.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/Program.cs

@@ -0,0 +1,57 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates using Valkey for persistent chat history with the Agent Framework,
+// powered by Amazon Bedrock.
+//
+// Prerequisites:
+//   - A running Valkey server (any version):
+//       docker run -d --name valkey -p 6379:6379 valkey/valkey:latest
+//   - AWS credentials configured (environment variables, AWS profile, or IAM role)
+//   - Access to an Amazon Bedrock model (e.g., Anthropic Claude)
+
+using Amazon;
+using Amazon.BedrockRuntime;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Valkey;
+using Microsoft.Extensions.AI;
+using Valkey.Glide;
+
+var awsRegion = Environment.GetEnvironmentVariable("AWS_REGION") ?? "us-east-1";
+var modelId = Environment.GetEnvironmentVariable("BEDROCK_MODEL_ID") ?? "anthropic.claude-3-5-sonnet-20241022-v2:0";
+var valkeyConnection = Environment.GetEnvironmentVariable("VALKEY_CONNECTION") ?? "localhost:6379";
+
+// Create the Bedrock runtime client.
+var bedrockRuntime = new AmazonBedrockRuntimeClient(RegionEndpoint.GetBySystemName(awsRegion));
+IChatClient chatClient = bedrockRuntime.AsIChatClient(modelId);
+
+var connection = await ConnectionMultiplexer.ConnectAsync(valkeyConnection);
+
+Console.WriteLine("=== ValkeyChatHistoryProvider — Persistent Chat History (Bedrock) ===\n");
+
+var historyProvider = new ValkeyChatHistoryProvider(
+    connection,
+    _ => new ValkeyChatHistoryProvider.State($"bedrock-sample-{Guid.NewGuid():N}"),
+    new ValkeyChatHistoryProviderOptions
+    {
+        KeyPrefix = "bedrock_chat",
+        MaxMessages = 20
+    });
+
+AIAgent historyAgent = chatClient.AsAIAgent(new ChatClientAgentOptions()
+{
+    ChatOptions = new() { Instructions = "You are a helpful assistant that remembers our conversation." },
+    ChatHistoryProvider = historyProvider
+});
+
+AgentSession session1 = await historyAgent.CreateSessionAsync();
+Console.WriteLine(await historyAgent.RunAsync("Hello! My name is Alex and I'm a software engineer.", session1));
+Console.WriteLine(await historyAgent.RunAsync("I'm working on a project using Valkey for caching.", session1));
+Console.WriteLine(await historyAgent.RunAsync("What do you remember about me?", session1));
+
+var messageCount = await historyProvider.GetMessageCountAsync(session1);
+Console.WriteLine($"\n  Stored {messageCount} messages in Valkey.\n");
+
+// Clean up
+connection.Dispose();
+
+Console.WriteLine("Done!");

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step03_MemoryUsingValkey_Bedrock/README.md

@@ -0,0 +1,41 @@
+# Agent with Memory Using Valkey + Amazon Bedrock
+
+This sample demonstrates using Valkey for persistent chat history with the Agent Framework, powered by Amazon Bedrock via the `AWSSDK.Extensions.Bedrock.MEAI` adapter.
+
+## Components
+
+- **ValkeyChatHistoryProvider** — Persists conversation history across sessions using Valkey lists. Works with any Valkey or Redis OSS server (no search module required).
+- **Amazon Bedrock** — Provides the LLM via `AWSSDK.Extensions.Bedrock.MEAI`, which implements `IChatClient` from `Microsoft.Extensions.AI`.
+
+## Prerequisites
+
+- AWS credentials configured (environment variables, AWS CLI profile, or IAM role)
+- Access to an Amazon Bedrock model (e.g., Anthropic Claude 3.5 Sonnet)
+- A running Valkey server (any version):
+
+```bash
+docker run -d --name valkey -p 6379:6379 valkey/valkey:latest
+```
+
+## Environment Variables
+
+| Variable | Description | Default |
+|---|---|---|
+| `AWS_REGION` | AWS region for Bedrock | `us-east-1` |
+| `BEDROCK_MODEL_ID` | Bedrock model identifier | `anthropic.claude-3-5-sonnet-20241022-v2:0` |
+| `VALKEY_CONNECTION` | Valkey connection string | `localhost:6379` |
+| `AWS_ACCESS_KEY_ID` | AWS access key (if not using profile/role) | — |
+| `AWS_SECRET_ACCESS_KEY` | AWS secret key (if not using profile/role) | — |
+
+## Running
+
+```bash
+# Using default AWS credential chain (profile, env vars, or IAM role)
+dotnet run
+
+# Or with explicit credentials
+export AWS_ACCESS_KEY_ID="your-access-key"
+export AWS_SECRET_ACCESS_KEY="your-secret-key"
+export AWS_REGION="us-east-1"
+dotnet run
+```

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs

@@ -13,9 +13,9 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry;
 
-string foundryEndpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+string foundryEndpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
 string memoryStoreName = Environment.GetEnvironmentVariable("AZURE_AI_MEMORY_STORE_ID") ?? "memory-store-sample";
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
 string embeddingModelName = Environment.GetEnvironmentVariable("AZURE_AI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-ada-002";
 
 // Create an AIProjectClient for Foundry with Azure Identity authentication.

dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/README.md

@@ -1,4 +1,4 @@
-# Agent with Memory Using Microsoft Foundry
+# Agent with Memory Using Microsoft Foundry
 
 This sample demonstrates how to create and run an agent that uses Microsoft Foundry's managed memory service to extract and retrieve individual memories across sessions.
 
@@ -22,11 +22,11 @@ This sample demonstrates how to create and run an agent that uses Microsoft Foun
 
 ```bash
 # Microsoft Foundry project endpoint and memory store name
-export AZURE_AI_PROJECT_ENDPOINT="https://your-account.services.ai.azure.com/api/projects/your-project"
+export FOUNDRY_PROJECT_ENDPOINT="https://your-account.services.ai.azure.com/api/projects/your-project"
 export AZURE_AI_MEMORY_STORE_ID="my_memory_store"
 
 # Model deployment names (models deployed in your Foundry project)
-export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
+export FOUNDRY_MODEL="gpt-5.4-mini"
 export AZURE_AI_EMBEDDING_DEPLOYMENT_NAME="text-embedding-ada-002"
 ```
 

dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/Program.cs

@@ -13,8 +13,8 @@ using OpenAI.Files;
 using OpenAI.Responses;
 using OpenAI.VectorStores;
 
-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";
 
 // Create an AI Project client and get an OpenAI client that works with the foundry service.
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.

dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/AgentWithRAG_Step05_Neo4jGraphRAG.csproj

@@ -23,7 +23,7 @@
     <PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
     <PackageReference Include="Azure.Identity" Version="1.19.0" />
     <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc4" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.4.0" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.6.0" />
     <PackageReference Include="Neo4j.AgentFramework.GraphRAG" Version="0.1.0-preview.2" />
     <PackageReference Include="Neo4j.Driver" Version="5.28.0" />
   </ItemGroup>

dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/Program.cs

@@ -10,8 +10,8 @@ using Microsoft.Extensions.DependencyInjection;
 using Microsoft.Extensions.Hosting;
 using ModelContextProtocol.Server;
 
-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";
 
 // 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/Agents/Agent_Step07_AsMcpTool/README.md

@@ -1,4 +1,4 @@
-This sample demonstrates how to expose an existing AI agent as an MCP tool.
+This sample demonstrates how to expose an existing AI agent as an MCP tool.
 
 ## Run the sample
 
@@ -21,9 +21,9 @@ To use the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector)
    ```
 1. Open a web browser and navigate to the URL displayed in the terminal. If not opened automatically, this will open the MCP Inspector interface.
 1. In the MCP Inspector interface, add the following environment variables to allow your MCP server to access Microsoft Foundry Project to create and run the agent:
-    - AZURE_AI_PROJECT_ENDPOINT = https://your-resource.openai.azure.com/ # Replace with your Microsoft Foundry Project endpoint
-    - AZURE_AI_MODEL_DEPLOYMENT_NAME = gpt-5.4-mini # Replace with your model deployment name
+    - FOUNDRY_PROJECT_ENDPOINT = https://your-resource.openai.azure.com/ # Replace with your Microsoft Foundry Project endpoint
+    - FOUNDRY_MODEL = gpt-5.4-mini # Replace with your model deployment name
 1. Find and click the `Connect` button in the MCP Inspector interface to connect to the MCP server.
 1. As soon as the connection is established, open the `Tools` tab in the MCP Inspector interface and select the `Joker` tool from the list.
 1. Specify your prompt as a value for the `query` argument, for example: `Tell me a joke about a pirate` and click the `Run Tool` button to run the tool.
-1. The agent will process the request and return a response in accordance with the provided instructions that instruct it to always start each joke with 'Aye aye, captain!'.
+1. The agent will process the request and return a response in accordance with the provided instructions that instruct it to always start each joke with 'Aye aye, captain!'.

dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/Program.cs

@@ -8,9 +8,9 @@ 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 endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
 var deepResearchDeploymentName = Environment.GetEnvironmentVariable("AZURE_AI_REASONING_DEPLOYMENT_NAME") ?? "o3-deep-research";
-var modelDeploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+var modelDeploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
 var bingConnectionId = Environment.GetEnvironmentVariable("AZURE_AI_BING_CONNECTION_ID") ?? throw new InvalidOperationException("AZURE_AI_BING_CONNECTION_ID is not set.");
 
 // Configure extended network timeout for long-running Deep Research tasks.

dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/README.md

@@ -1,4 +1,4 @@
-# What this sample demonstrates
+# What this sample demonstrates
 
 This sample demonstrates how to create an Azure AI Agent with the Deep Research Tool, which leverages the o3-deep-research reasoning model to perform comprehensive research on complex topics.
 
@@ -37,7 +37,7 @@ Set the following environment variables:
 
 ```powershell
 # Replace with your Microsoft Foundry project endpoint
-$env:AZURE_AI_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/"
+$env:FOUNDRY_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/"
 
 # Replace with your Bing Grounding connection ID (full ARM resource URI)
 $env:AZURE_AI_BING_CONNECTION_ID="/subscriptions/<sub-id>/resourceGroups/<rg>/providers/Microsoft.CognitiveServices/accounts/<account>/projects/<project>/connections/<connection-name>"
@@ -46,4 +46,4 @@ $env:AZURE_AI_BING_CONNECTION_ID="/subscriptions/<sub-id>/resourceGroups/<rg>/pr
 $env:AZURE_AI_REASONING_DEPLOYMENT_NAME="o3-deep-research"
 
 # Optional, defaults to gpt-5.4-mini
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
+$env:FOUNDRY_MODEL="gpt-5.4-mini"

dotnet/samples/02-agents/Agents/Agent_Step21_ShellWithEnvironment/Program.cs

@@ -40,6 +40,9 @@ using OpenAI.Chat;
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
 var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
+// 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 chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
     .GetChatClient(deploymentName);
 

dotnet/samples/02-agents/AgentsWithFoundry/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/AgentsWithFoundry/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.
 
@@ -6,14 +6,14 @@ 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
 

dotnet/samples/02-agents/AgentsWithFoundry/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/AgentsWithFoundry/Agent_Step01_Basics/README.md

@@ -14,15 +14,15 @@ 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

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

@@ -15,15 +15,15 @@ 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

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

@@ -15,15 +15,15 @@ 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

dotnet/samples/02-agents/AgentsWithFoundry/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/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/README.md

@@ -16,15 +16,15 @@ 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

dotnet/samples/02-agents/AgentsWithFoundry/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/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md

@@ -13,13 +13,13 @@ 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

dotnet/samples/02-agents/AgentsWithFoundry/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/AgentsWithFoundry/Agent_Step05_StructuredOutput/README.md

@@ -12,13 +12,13 @@ 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

dotnet/samples/02-agents/AgentsWithFoundry/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/AgentsWithFoundry/Agent_Step06_PersistedConversations/README.md

@@ -13,13 +13,13 @@ 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

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Program.cs

@@ -10,8 +10,8 @@ using OpenTelemetry;
 using OpenTelemetry.Trace;
 
 string? applicationInsightsConnectionString = Environment.GetEnvironmentVariable("APPLICATIONINSIGHTS_CONNECTION_STRING");
-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";
 
 // Create TracerProvider with console exporter.
 string sourceName = Guid.NewGuid().ToString("N");

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/README.md

@@ -13,13 +13,13 @@ This sample demonstrates how to add OpenTelemetry observability to an agent usin
 
 - .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"
 $env:APPLICATIONINSIGHTS_CONNECTION_STRING="..."  # Optional
 ```