Python: add test for empty-message pruning in approval result replacement (#5617 )

Adds test coverage for the second-pass logic in `_replace_approval_contents_with_results` that removes messages whose `contents` list becomes empty after first-pass content removal. Addresses review comment on PR #5331: https://github.com/microsoft/agent-framework/pull/5331#discussion_r3129039445 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Python: Address PR 5331 comments and track sesssion while calling Agent in email_security_example (#5446 )
2026-06-16 21:04:09 +08:00 · 2026-05-04 10:19:45 +02:00 · 2026-05-04 10:00:41 +02:00 · 2026-05-04 09:58:52 +02:00 · 2026-05-04 09:58:09 +02:00 · 2026-05-04 09:58:09 +02:00
580 changed files with 9106 additions and 53725 deletions
@@ -37,9 +37,6 @@ jobs:
    outputs:
      dotnetChanges: ${{ steps.filter.outputs.dotnet }}
      cosmosDbChanges: ${{ steps.filter.outputs.cosmosdb }}
-      foundryHostingChanges: ${{ steps.filter.outputs.foundryHosting }}
-      functionsChanged: ${{ steps.filter.outputs.functions }}
-      coreChanged: ${{ steps.filter.outputs.core }}
    steps:
      - uses: actions/checkout@v6
      - uses: dorny/paths-filter@v3
@@ -50,40 +47,6 @@ jobs:
              - 'dotnet/**'
            cosmosdb:
              - 'dotnet/src/Microsoft.Agents.AI.CosmosNoSql/**'
-            # The Foundry hosted-agent IT is costly (builds a container, pushes to ACR,
-            # provisions live agents). Only run it when the project under test, its
-            # dependency chain, the test container, the test fixture, or their tooling
-            # changed. Keep this list in sync with $hashedDirs in scripts/it-build-image.ps1.
-            foundryHosting:
-              - 'dotnet/src/Microsoft.Agents.AI.Foundry.Hosting/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Foundry/**'
-              - 'dotnet/src/Microsoft.Agents.AI/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Abstractions/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Workflows/**'
-              - 'dotnet/tests/Foundry.Hosting.IntegrationTests/**'
-              - 'dotnet/tests/Foundry.Hosting.IntegrationTests.TestContainer/**'
-              - 'dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/**'
-              - 'dotnet/Directory.Packages.props'
-              - 'dotnet/tests/Foundry.Hosting.IntegrationTests/scripts/it-build-image.ps1'
-              - '.github/workflows/dotnet-build-and-test.yml'
-            functions:
-              - 'dotnet/src/Microsoft.Agents.AI.DurableTask/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/**'
-              - 'dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/**'
-              - 'dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/**'
-              - '.github/actions/azure-functions-integration-setup/**'
-              - '.github/workflows/dotnet-build-and-test.yml'
-            core:
-              - 'dotnet/src/Microsoft.Agents.AI/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Abstractions/**'
-              - 'dotnet/src/Microsoft.Agents.AI.OpenAI/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Workflows/**'
-              - 'dotnet/src/Microsoft.Agents.AI.Workflows.Generators/**'
-              - 'dotnet/eng/scripts/New-FilteredSolution.ps1'
-              - 'dotnet/tests/Directory.Build.props'
-              - 'dotnet/Directory.Packages.props'
-              - 'dotnet/global.json'
-              - '.github/workflows/dotnet-build-and-test.yml'
      # run only if 'dotnet' files were changed
      - name: dotnet tests
        if: steps.filter.outputs.dotnet == 'true'
@@ -231,11 +194,10 @@ jobs:
            Verbose         = $true
          }
          ./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
-            -TestProjectNameIncludeFilter "*UnitTests*" `
+            -TestProjectNameFilter "*UnitTests*" `
            -OutputPath dotnet/filtered-unit.slnx
          ./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
-            -TestProjectNameIncludeFilter "*IntegrationTests*" `
-            -TestProjectNameExcludeFilter "*DurableTask.IntegrationTests*","*AzureFunctions.IntegrationTests*" `
+            -TestProjectNameFilter "*IntegrationTests*" `
            -OutputPath dotnet/filtered-integration.slnx

      - name: Run Unit Tests
@@ -277,6 +239,14 @@ jobs:
          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}

+        # This setup action is required for both Durable Task and Azure Functions integration tests.
+        # We only run it on Ubuntu since the Durable Task and Azure Functions features are not available
+        # on .NET Framework (net472) which is what we use the Windows runner for.
+      - name: Set up Durable Task and Azure Functions Integration Test Emulators
+        if: github.event_name != 'pull_request' && matrix.integration-tests && matrix.os == 'ubuntu-latest'
+        uses: ./.github/actions/azure-functions-integration-setup
+        id: azure-functions-setup
+
      - name: Run Integration Tests
        shell: pwsh
        working-directory: dotnet
@@ -287,11 +257,8 @@ jobs:
            -c ${{ matrix.configuration }} `
            --no-build -v Normal `
            --report-xunit-trx `
-            --report-junit `
-            --results-directory ../IntegrationTestResults/ `
            --ignore-exit-code 8 `
            --filter-not-trait "Category=IntegrationDisabled" `
-            --filter-not-trait "Category=FoundryHostedAgents" `
            --parallel-algorithm aggressive `
            --max-threads 2.0x
        env:
@@ -310,10 +277,6 @@ jobs:
          AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
          AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
          AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
-          # Anthropic Models
-          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
-          ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
-          ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}

      # Generate test reports and check coverage
      - name: Generate test reports
@@ -336,203 +299,11 @@ jobs:
        shell: pwsh
        run: ./dotnet/eng/scripts/dotnet-check-coverage.ps1 -JsonReportPath "TestResults/Reports/Summary.json" -CoverageThreshold $env:COVERAGE_THRESHOLD

-      - name: Upload integration test results
-        if: always() && github.event_name != 'pull_request' && matrix.integration-tests
-        uses: actions/upload-artifact@v7
-        with:
-          name: dotnet-test-results-${{ matrix.targetFramework }}-${{ matrix.os }}
-          path: IntegrationTestResults/**/*.junit
-          if-no-files-found: ignore
-
-  # The Foundry hosted-agent IT is costly (it builds a container, pushes to ACR, and provisions
-  # live agents on a separate Foundry project). Running it in its own job keeps the overall
-  # workflow time roughly flat: it executes in parallel to dotnet-build and dotnet-test and is
-  # gated on paths-filter.outputs.foundryHostingChanges so unrelated edits skip the work.
-  dotnet-foundry-hosted-it:
-    needs: paths-filter
-    if: github.event_name != 'pull_request' && needs.paths-filter.outputs.foundryHostingChanges == 'true'
-    runs-on: ubuntu-latest
-    environment: integration
-    env:
-      configuration: Release
-    steps:
-      - uses: actions/checkout@v6
-        with:
-          persist-credentials: false
-          sparse-checkout: |
-            .
-            .github
-            dotnet
-            python
-
-      - name: Setup dotnet
-        uses: actions/setup-dotnet@v5.2.0
-        with:
-          global-json-file: ${{ github.workspace }}/dotnet/global.json
-
-      # Build the test csproj directly instead of a filtered slnx + -f override.
-      # The test project pins TargetFrameworks=net10.0 and its ProjectReference closure
-      # gives MSBuild a single-rooted graph, so each multi-targeted dependency is invoked
-      # exactly once for net10.0. This avoids the MSB3026/MSB3491/MSB4018/MSB3883 file-lock
-      # collisions caused by parallel inner-builds racing on shared bin/obj output paths
-      # under the previous slnx + global TFM override approach.
-      - name: Build Foundry hosted IT (and its deps)
-        shell: bash
-        run: dotnet build dotnet/tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj -c "$configuration" --warnaserror
-
-      - name: Azure CLI Login
-        uses: azure/login@v2
-        with:
-          client-id: ${{ secrets.AZURE_CLIENT_ID }}
-          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
-          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
-
-      # We rebuild and push the test container image on every IT run so framework code changes
-      # are picked up; the image tag is content-hashed across the test container source AND its
-      # framework project references, so identical content is a no-op push.
-      #
-      # The script always passes --no-dependencies to dotnet publish so publish never re-touches
-      # the framework lib DLLs the prior "Build Foundry hosted IT (and its deps)" step produced.
-      # This structurally eliminates the MSB3026 collision that VBCSCompiler from the prebuild
-      # would otherwise cause by holding file handles to those DLLs. Do not remove the prebuild
-      # step: the subsequent `dotnet test --no-build` step and the publish's ProjectReference
-      # resolution both depend on the prebuilt outputs being present.
-      - name: Build and push Foundry Hosted Agents test container
-        id: build-foundry-hosted-image
-        shell: pwsh
-        working-directory: ${{ github.workspace }}
-        run: |
-          $registry = "${{ vars.IT_HOSTED_AGENT_REGISTRY }}"
-          if ([string]::IsNullOrWhiteSpace($registry)) {
-            throw "IT_HOSTED_AGENT_REGISTRY not set in the integration environment."
-          }
-          & "${{ github.workspace }}/dotnet/tests/Foundry.Hosting.IntegrationTests/scripts/it-build-image.ps1" -Registry $registry | Tee-Object -FilePath $env:GITHUB_ENV -Append
-
-      - name: Run Foundry Hosted Agents Integration Tests
-        shell: pwsh
-        working-directory: dotnet
-        run: |
-          dotnet test --project tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj `
-            -c $env:configuration `
-            --no-build -v Normal `
-            --report-xunit-trx `
-            --ignore-exit-code 8 `
-            --filter-trait "Category=FoundryHostedAgents"
-        env:
-          AZURE_AI_PROJECT_ENDPOINT: ${{ vars.IT_HOSTED_AGENT_PROJECT_ENDPOINT }}
-          AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.IT_HOSTED_AGENT_MODEL_DEPLOYMENT_NAME }}
-          # Azure AI Search (for the azure-search-rag scenario). Reuses the integration
-          # environment secrets shared with python-sample-validation.yml. The index is
-          # provisioned out of band; see dotnet/tests/Foundry.Hosting.IntegrationTests/README.md
-          # for the required schema and seed content.
-          AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }}
-          AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }}
-          # IT_HOSTED_AGENT_IMAGE was exported into $GITHUB_ENV by the previous step.
-
-  # DurableTask and AzureFunctions integration tests (ubuntu/net10.0 only).
-  # Split from main dotnet-test job for path-based filtering and parallelism.
-  dotnet-test-functions:
-    needs: [paths-filter]
-    if: >
-      github.event_name != 'pull_request' &&
-      (needs.paths-filter.outputs.functionsChanged == 'true' ||
-       needs.paths-filter.outputs.coreChanged == 'true' ||
-       github.event_name == 'schedule' ||
-       github.event_name == 'workflow_dispatch')
-    runs-on: ubuntu-latest
-    environment: integration
-    steps:
-      - uses: actions/checkout@v6
-        with:
-          persist-credentials: false
-          sparse-checkout: |
-            .
-            .github
-            dotnet
-            python
-            declarative-agents
-
-      - name: Setup dotnet
-        uses: actions/setup-dotnet@v5.2.0
-        with:
-          global-json-file: ${{ github.workspace }}/dotnet/global.json
-
-      - name: Build functions integration test projects
-        shell: bash
-        working-directory: dotnet
-        run: |
-          dotnet build ./tests/Microsoft.Agents.AI.DurableTask.IntegrationTests -c Release -f net10.0 --warnaserror
-          dotnet build ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests -c Release -f net10.0 --warnaserror
-
-      - name: Azure CLI Login
-        uses: azure/login@v2
-        with:
-          client-id: ${{ secrets.AZURE_CLIENT_ID }}
-          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
-          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
-
-      - name: Set up Durable Task and Azure Functions Integration Test Emulators
-        uses: ./.github/actions/azure-functions-integration-setup
-        id: azure-functions-setup
-
-      - name: Run Functions Integration Tests
-        shell: pwsh
-        working-directory: dotnet
-        run: |
-          # Run DurableTask integration tests
-          dotnet test `
-            --project ./tests/Microsoft.Agents.AI.DurableTask.IntegrationTests `
-            -f net10.0 `
-            -c Release `
-            --no-build -v Normal `
-            --report-xunit-trx `
-            --report-junit `
-            --results-directory ../IntegrationTestResults/ `
-            --ignore-exit-code 8 `
-            --filter-not-trait "Category=IntegrationDisabled" `
-            --parallel-algorithm aggressive `
-            --max-threads 2.0x
-
-          # Run AzureFunctions integration tests
-          dotnet test `
-            --project ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests `
-            -f net10.0 `
-            -c Release `
-            --no-build -v Normal `
-            --report-xunit-trx `
-            --report-junit `
-            --results-directory ../IntegrationTestResults/ `
-            --ignore-exit-code 8 `
-            --filter-not-trait "Category=IntegrationDisabled" `
-            --parallel-algorithm aggressive `
-            --max-threads 2.0x
-        env:
-          # OpenAI Models
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          OPENAI_CHAT_MODEL_NAME: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
-          OPENAI_REASONING_MODEL_NAME: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
-          # Azure OpenAI Models
-          AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
-          AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
-          AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
-          # Azure AI Foundry
-          AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
-          AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
-          AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
-
-      - name: Upload functions test results
-        if: always()
-        uses: actions/upload-artifact@v7
-        with:
-          name: dotnet-test-results-functions-net10.0-ubuntu-latest
-          path: IntegrationTestResults/**/*.junit
-          if-no-files-found: ignore
-
  # This final job is required to satisfy the merge queue. It must only run (or succeed) if no tests failed
  dotnet-build-and-test-check:
    if: always()
    runs-on: ubuntu-latest
-    needs: [dotnet-build, dotnet-test, dotnet-foundry-hosted-it, dotnet-test-functions]
+    needs: [dotnet-build, dotnet-test]
    steps:
      - name: Get Date
        shell: bash
@@ -570,64 +341,3 @@ jobs:
        uses: actions/github-script@v8
        with:
          script: core.setFailed('Integration Tests Cancelled!')
-
-  # Integration test trend report (aggregates JUnit XML results from dotnet test jobs)
-  dotnet-integration-test-report:
-    name: Integration Test Report
-    if: >
-      always() &&
-      github.event_name != 'pull_request' &&
-      (contains(join(needs.*.result, ','), 'success') ||
-       contains(join(needs.*.result, ','), 'failure'))
-    needs: [dotnet-test, dotnet-test-functions]
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: python
-    steps:
-      - uses: actions/checkout@v6
-        with:
-          persist-credentials: false
-          sparse-checkout: |
-            .github/actions/python-setup
-            python
-      - name: Set up python and install the project
-        uses: ./.github/actions/python-setup
-        with:
-          python-version: "3.13"
-          os: ${{ runner.os }}
-      - name: Download all test results from current run
-        uses: actions/download-artifact@v4
-        with:
-          pattern: dotnet-test-results-*
-          path: dotnet-test-results/
-      - name: Restore report history cache
-        uses: actions/cache/restore@v4
-        with:
-          path: python/dotnet-integration-report-history.json
-          key: dotnet-integration-report-history-${{ github.run_id }}
-          restore-keys: |
-            dotnet-integration-report-history-
-      - name: Generate trend report
-        run: >
-          uv run python scripts/integration_test_report/aggregate.py
-          ../dotnet-test-results/
-          dotnet-integration-report-history.json
-          dotnet-integration-test-report.md
-      - name: Post to Job Summary
-        if: always()
-        run: cat dotnet-integration-test-report.md >> $GITHUB_STEP_SUMMARY
-      - name: Save report history cache
-        if: always()
-        uses: actions/cache/save@v4
-        with:
-          path: python/dotnet-integration-report-history.json
-          key: dotnet-integration-report-history-${{ github.run_id }}
-      - name: Upload trend report
-        if: always()
-        uses: actions/upload-artifact@v7
-        with:
-          name: dotnet-integration-test-report
-          path: |
-            python/dotnet-integration-test-report.md
-            python/dotnet-integration-report-history.json
@@ -1,8 +1,12 @@
 name: Issue Triage

 on:
-  issues:
-    types: [opened, labeled]
+  workflow_dispatch:
+    inputs:
+      issue_number:
+        description: Issue number to triage
+        required: true
+        type: string

 permissions:
  contents: read
@@ -10,13 +14,7 @@ permissions:
  id-token: write

 concurrency:
-  group: >-
-    issue-triage-${{ github.repository }}-${{
-      ((github.event.action == 'opened' && contains(github.event.issue.labels.*.name, 'bug'))
-       || (github.event.action == 'labeled' && github.event.label.name == 'bug'))
-      && github.event.issue.number
-      || github.run_id
-    }}
+  group: issue-triage-${{ github.repository }}-${{ github.event.issue.number || inputs.issue_number || github.run_id }}
  cancel-in-progress: true

 env:
@@ -28,7 +26,6 @@ env:
 jobs:
  team_check:
    runs-on: ubuntu-latest
-    if: ${{ (github.event.action == 'opened' && contains(github.event.issue.labels.*.name, 'bug')) || (github.event.action == 'labeled' && github.event.label.name == 'bug') }}
    outputs:
      is_team_member: ${{ steps.check.outputs.is_team_member }}
      issue_number: ${{ steps.issue.outputs.issue_number }}
@@ -39,13 +36,18 @@ jobs:
        shell: bash
        env:
          ISSUE_NUMBER_EVENT: ${{ github.event.issue.number }}
+          ISSUE_NUMBER_INPUT: ${{ inputs.issue_number }}
        run: |
          set -euo pipefail

-          issue_number="${ISSUE_NUMBER_EVENT}"
+          if [[ "${GITHUB_EVENT_NAME}" == "issues" ]]; then
+            issue_number="${ISSUE_NUMBER_EVENT}"
+          else
+            issue_number="${ISSUE_NUMBER_INPUT}"
+          fi

          if [[ ! "$issue_number" =~ ^[1-9][0-9]*$ ]]; then
-            echo "Could not determine issue number from event payload." >&2
+            echo "Could not determine issue number; for workflow_dispatch runs, the 'issue_number' input is required." >&2
            exit 1
          fi

@@ -164,9 +166,6 @@ jobs:
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          GH_COPILOT_TOKEN: ${{ secrets.GH_COPILOT_TOKEN }}
-          # Not seen by the agent prompt; used only to push a paper-trail
-          # branch back to maf-dashboard at run end.
-          DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
          SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
          AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
          ISSUE_REPO: ${{ needs.team_check.outputs.repo }}
@@ -2,7 +2,7 @@ name: Merge Gatekeeper

 on:
  pull_request:
-    branches: ["main", "feature*"]
+    branches: [ "main", "feature*" ]
  merge_group:
    branches: ["main"]

@@ -13,105 +13,23 @@ concurrency:
 jobs:
  merge-gatekeeper:
    runs-on: ubuntu-latest
+    # Restrict permissions of the GITHUB_TOKEN.
+    # Docs: https://docs.github.com/en/actions/using-jobs/assigning-permissions-to-jobs
    permissions:
      checks: read
      statuses: read
    steps:
-      - name: Wait for required checks
+      - name: Run Merge Gatekeeper
+        # NOTE: v1 is updated to reflect the latest v1.x.y. Please use any tag/branch that suits your needs:
+        #       https://github.com/upsidr/merge-gatekeeper/tags
+        #       https://github.com/upsidr/merge-gatekeeper/branches
+        uses: upsidr/merge-gatekeeper@v1
        if: github.event_name == 'pull_request'
-        uses: actions/github-script@v8
-        env:
-          TIMEOUT_SECONDS: "3600"
-          INTERVAL_SECONDS: "30"
-          SELF_JOB_NAME: ${{ github.job }}
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          timeout: 3600
+          interval: 30
          # "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"
-        with:
-          script: |
-            const timeoutSeconds = Number(process.env.TIMEOUT_SECONDS);
-            const intervalSeconds = Number(process.env.INTERVAL_SECONDS);
-            const selfName = process.env.SELF_JOB_NAME;
-            const ignored = new Set(
-              process.env.IGNORED_NAMES.split(',').map((s) => s.trim()).filter(Boolean),
-            );
-
-            const sha = context.payload.pull_request.head.sha;
-            const { owner, repo } = context.repo;
-
-            const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
-
-            // Mirrors upsidr/merge-gatekeeper: merge combined-statuses and check-runs
-            // for the PR head SHA, with combined-statuses winning on name collision.
-            async function collectChecks() {
-              const merged = new Map();
-
-              const combined = await github.rest.repos.getCombinedStatusForRef({
-                owner, repo, ref: sha, per_page: 100,
-              });
-              for (const s of combined.data.statuses ?? []) {
-                if (!merged.has(s.context)) {
-                  // Combined-status states: success | pending | error | failure
-                  merged.set(s.context, { name: s.context, state: s.state });
-                }
-              }
-
-              const runs = await github.paginate(github.rest.checks.listForRef, {
-                owner, repo, ref: sha, per_page: 100,
-              });
-              for (const r of runs) {
-                if (merged.has(r.name)) continue;
-                let state;
-                if (r.status !== 'completed') {
-                  state = 'pending';
-                } else if (r.conclusion === 'skipped') {
-                  continue; // Skipped runs are dropped, matching the original action.
-                } else if (r.conclusion === 'success' || r.conclusion === 'neutral') {
-                  state = 'success';
-                } else {
-                  // cancelled | timed_out | action_required | stale | failure
-                  state = 'error';
-                }
-                merged.set(r.name, { name: r.name, state });
-              }
-
-              return [...merged.values()];
-            }
-
-            function evaluate(entries) {
-              const failed = [];
-              const pending = [];
-              const succeeded = [];
-              for (const e of entries) {
-                if (e.name === selfName || ignored.has(e.name)) continue;
-                if (e.state === 'success') succeeded.push(e.name);
-                else if (e.state === 'error' || e.state === 'failure') failed.push(e.name);
-                else pending.push(e.name);
-              }
-              return { failed, pending, succeeded };
-            }
-
-            const deadline = Date.now() + timeoutSeconds * 1000;
-            for (;;) {
-              const entries = await collectChecks();
-              const { failed, pending, succeeded } = evaluate(entries);
-
-              core.info(
-                `succeeded=${succeeded.length} pending=${pending.length} failed=${failed.length}`,
-              );
-              if (failed.length) {
-                core.setFailed(`Failing checks: ${failed.join(', ')}`);
-                return;
-              }
-              if (pending.length === 0) {
-                core.info(`All required checks passed: ${succeeded.join(', ') || '(none)'}`);
-                return;
-              }
-              if (Date.now() > deadline) {
-                core.setFailed(`Timed out waiting for: ${pending.join(', ')}`);
-                return;
-              }
-              core.info(`Waiting on (${pending.length}): ${pending.slice(0, 10).join(', ')}${pending.length > 10 ? ', …' : ''}`);
-              await sleep(intervalSeconds * 1000);
-            }
+          ignored: CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results
@@ -246,5 +246,3 @@ dotnet/filtered-*.slnx
 # Local tool state
 .omc/
 .omx/
-
-**/issues/
@@ -6,12 +6,8 @@
 [![MS Learn Documentation](https://img.shields.io/badge/MS%20Learn-Documentation-blue)](https://learn.microsoft.com/en-us/agent-framework/)
 [![PyPI](https://img.shields.io/pypi/v/agent-framework)](https://pypi.org/project/agent-framework/)
 [![NuGet](https://img.shields.io/nuget/v/Microsoft.Agents.AI)](https://www.nuget.org/profiles/MicrosoftAgentFramework/)
-[![GitHub stars](https://img.shields.io/github/stars/microsoft/agent-framework?style=social)](https://github.com/microsoft/agent-framework/stargazers)

-
-Microsoft Agent Framework (MAF) is an open, multi-language framework for building **production-grade AI agents and multi-agent workflows** in **.NET and Python**.
-
-Microsoft Agent Framework is built for teams taking agents from prototype to production. It provides a consistent foundation for building, orchestrating, and operating agent systems across Python and .NET, while keeping architecture choices open as requirements evolve, and supports a broad ecosystem including Microsoft Foundry, Azure OpenAI, OpenAI, and the GitHub Copilot SDK, with samples and hosting patterns for both local development and cloud deployment.
+Welcome to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.

 <p align="center">
  <a href="https://www.youtube.com/watch?v=AAgdMhftj8w" title="Watch the full Agent Framework introduction (30 min)">
@@ -25,54 +21,10 @@ Microsoft Agent Framework is built for teams taking agents from prototype to pro
  </a>
 </p>

-## Is this the right framework for you?
+## 📋 Getting Started

-MAF is a strong fit if you:
- are building agents and workflows you expect to run in production,
- need orchestration beyond a single prompt or stateless chat loop,
- want graph-based patterns such as sequential, concurrent, handoff, and group collaboration,
- care about durability, restartability, observability, governance, or human-in-the-loop control,
- need provider flexibility so your architecture can evolve without major rewrites.
+### 📦 Installation

-## Key Features
-Explore new MAF capabilities and real implementation patterns on the [official blog](https://devblogs.microsoft.com/agent-framework/).
-
- **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
-  - [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
- **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
-  - [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/02-agents/AgentProviders/)
- **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
-  - [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/)
- **Orchestration Patterns & Workflows**: Build multi-agent systems with graph-based workflows supporting sequential, concurrent, handoff, and group collaboration patterns; includes checkpointing, streaming, human-in-the-loop, and time-travel
-  - [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/03-workflows/)
- **Foundry Hosted Agents (new)**: Deploy and host your agents to Foundry-hosted infrastructure with just 2 additional lines of code
-  - [Python samples](./python/samples/04-hosting/foundry-hosted-agents/) | [.NET samples](./dotnet/samples/04-hosting/FoundryHostedAgents/)
- **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
-  - [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/02-agents/AgentOpenTelemetry/)
- **Declarative Agents**: Define agents using YAML for faster setup and versioning
-  - [Declarative agent samples](./declarative-agents/)
- **Agent Skills**: Build domain-specific knowledge bases from multiple sources—files, inline code, class libraries—for agents to discover and use
-  - [Skills design](./docs/decisions/0021-agent-skills-design.md)
- **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
-  - [Labs directory](./python/packages/lab/)
- **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
-  - [See the DevUI in action](https://www.youtube.com/watch?v=mOAaGY4WPvc)
-
-## Table of Contents
-
- [Getting Started](#getting-started)
-  - [Installation](#installation)
-  - [Learning Resources](#learning-resources)
-  - [Quickstart](#quickstart)
-    - [Basic Agent - Python](#basic-agent---python)
-    - [Basic Agent - .NET](#basic-agent---net)
- [More Examples & Samples](#more-examples--samples)
- [Community & Feedback](#community--feedback)
- [Troubleshooting](#troubleshooting)
- [Contributor Resources](#contributor-resources)
-
-## Getting Started
-### Installation
 Python

 ```bash
@@ -85,13 +37,9 @@ pip install agent-framework

 ```bash
 dotnet add package Microsoft.Agents.AI
-# For Foundry integration (used in the .NET quickstart below):
-dotnet add package Microsoft.Agents.AI.Foundry
-dotnet add package Azure.AI.Projects
-dotnet add package Azure.Identity
 ```

-### Learning Resources
+### 📚 Documentation

 - **[Overview](https://learn.microsoft.com/agent-framework/overview/agent-framework-overview)** - High level overview of the framework
 - **[Quick Start](https://learn.microsoft.com/agent-framework/tutorials/quick-start)** - Get started with a simple agent
@@ -100,9 +48,44 @@ dotnet add package Azure.Identity
 - **[Migration from Semantic Kernel](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-semantic-kernel)** - Guide to migrate from Semantic Kernel
 - **[Migration from AutoGen](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen)** - Guide to migrate from AutoGen

-### Quickstart
+Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-community-office-hours) or ask questions in our [Discord channel](https://discord.gg/b5zjErwbQM) to get help from the team and other users.

-#### Basic Agent - Python
+### ✨ **Highlights**
+
+- **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities
+  - [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/03-workflows/)
+- **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
+  - [Labs directory](./python/packages/lab/)
+- **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
+  - [DevUI package](./python/packages/devui/)
+
+<p align="center">
+  <a href="https://www.youtube.com/watch?v=mOAaGY4WPvc">
+    <img src="https://img.youtube.com/vi/mOAaGY4WPvc/hqdefault.jpg" alt="See the DevUI in action" width="480">
+  </a>
+</p>
+<p align="center">
+  <a href="https://www.youtube.com/watch?v=mOAaGY4WPvc">
+    See the DevUI in action (1 min)
+  </a>
+</p>
+
+- **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
+  - [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
+- **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
+  - [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/02-agents/AgentOpenTelemetry/)
+- **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
+  - [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/02-agents/AgentProviders/)
+- **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
+  - [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/)
+
+### 💬 **We want your feedback!**
+
+- For bugs, please file a [GitHub issue](https://github.com/microsoft/agent-framework/issues).
+
+## Quickstart
+
+### Basic Agent - Python

 Create a simple Azure Responses Agent that writes a haiku about the Microsoft Agent Framework

@@ -126,7 +109,7 @@ async def main():
          # project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
          # model=os.environ["FOUNDRY_MODEL_DEPLOYMENT_NAME"],
      ),
-      name="HaikuAgent",
+      name="HaikuBot",
      instructions="You are an upbeat assistant that writes beautifully.",
    )

@@ -136,24 +119,40 @@ if __name__ == "__main__":
    asyncio.run(main())
 ```

-#### Basic Agent - .NET
-Create a simple Agent, using Microsoft Foundry that writes a haiku about the Microsoft Agent Framework
+### Basic Agent - .NET
+Create a simple Agent, using Microsoft Foundry with token-based auth, that writes a haiku about the Microsoft Agent Framework

 ```c#
-// This sample shows how to create and run a basic agent with AIProjectClient.AsAIAgent(...).
-
+// dotnet add package Microsoft.Agents.AI.Foundry
+// Use `az login` to authenticate with Azure CLI
+using Azure.AI.Projects;
+using Azure.Identity;
+using System;
 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";
+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";

-AIAgent agent =
-    new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
-    .AsAIAgent(model: deploymentName, instructions: "You are an upbeat assistant that writes beautifully.", name: "HaikuAgent");
+var agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
+    .AsAIAgent(model: deploymentName, name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
+
+Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
+```
+
+Create a simple Agent, using OpenAI Responses, that writes a haiku about the Microsoft Agent Framework
+
+```c#
+// dotnet add package Microsoft.Agents.AI.OpenAI
+using System;
+using OpenAI;
+using OpenAI.Responses;
+
+// Replace the <apikey> with your OpenAI API key.
+var agent = new OpenAIClient("<apikey>")
+    .GetResponsesClient()
+    .AsAIAgent(model: "gpt-5.4-mini", name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");

-// Once you have the agent, you can invoke it like any other AIAgent.
 Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
 ```

@@ -176,12 +175,6 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 - [Hosting](./dotnet/samples/04-hosting): A2A, Durable Agents, Durable Workflows
 - [End-to-End](./dotnet/samples/05-end-to-end): full applications and demos

-## Community & Feedback
-
- **Found a bug?** File a [GitHub issue](https://github.com/microsoft/agent-framework/issues) to help us improve.
- **Enjoying MAF?** [![GitHub stars](https://img.shields.io/badge/Star-us%20on%20GitHub-yellow)](https://github.com/microsoft/agent-framework) to show your support and help others discover the project.
- **Have questions?** Join our [Discord](https://discord.gg/b5zjErwbQM) or visit [weekly office hours](./COMMUNITY.md#public-community-office-hours).
-
 ## Troubleshooting

 ### Authentication
@@ -194,7 +187,16 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 > **Tip:** `DefaultAzureCredential` is convenient for development but in production, consider using a specific credential (e.g., `ManagedIdentityCredential`) to avoid latency issues, unintended credential probing, and potential security risks from fallback mechanisms.

 ### Environment Variables
-For environment variable configuration specific to each sample, refer to the README in the sample directory ([Python samples](./python/samples/) | [.NET samples](./dotnet/samples/)).
+
+The samples typically read configuration from environment variables. Common required variables:
+
+| Variable | Used by | Purpose |
+|----------|---------|---------|
+| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI samples | Your Azure OpenAI resource URL |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI samples | Model deployment name (e.g. `gpt-4o-mini`) |
+| `AZURE_AI_PROJECT_ENDPOINT` | Microsoft Foundry samples | Your Microsoft Foundry project endpoint |
+| `AZURE_AI_MODEL_DEPLOYMENT_NAME` | Microsoft Foundry samples | Model deployment name |
+| `OPENAI_API_KEY` | OpenAI (non-Azure) samples | Your OpenAI platform API key |

 ## Contributor Resources

@@ -11,7 +11,7 @@
  </PropertyGroup>
  <ItemGroup>
    <!-- Aspire.* -->
-    <PackageVersion Include="Anthropic" Version="12.20.0" />
+    <PackageVersion Include="Anthropic" Version="12.13.0" />
    <PackageVersion Include="Anthropic.Foundry" Version="0.5.0" />
    <PackageVersion Include="Aspire.Hosting" Version="$(AspireAppHostSdkVersion)" />
    <PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="13.0.0-preview.1.25560.3" />
@@ -25,8 +25,7 @@
    <PackageVersion Include="Azure.AI.AgentServer.Core" Version="1.0.0-beta.23" />
    <PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.3" />
    <PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.4" />
-    <PackageVersion Include="Azure.Search.Documents" Version="12.0.0" />
-    <PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.1" />
+    <PackageVersion Include="Azure.AI.Projects" Version="2.0.0" />
    <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.10" />
    <PackageVersion Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
    <PackageVersion Include="Azure.Core" Version="1.53.0" />
@@ -72,12 +71,12 @@
    <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" Version="10.5.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.5.0" />
    <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.OpenAI" Version="10.5.0" />
    <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" />
@@ -99,7 +98,7 @@
    <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="0.1.29" />
    <PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
    <!-- M365 Agents SDK -->
    <PackageVersion Include="AdaptiveCards" Version="3.1.0" />
@@ -110,8 +109,6 @@
    <PackageVersion Include="A2A.AspNetCore" Version="1.0.0-preview2" />
    <!-- MCP -->
    <PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
-    <!-- Hyperlight -->
-    <PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
    <!-- Inference SDKs -->
    <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
    <PackageVersion Include="Microsoft.ML.Tokenizers" Version="2.0.0" />
@@ -194,4 +191,4 @@
      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
    </PackageReference>
  </ItemGroup>
-</Project>
+</Project>
@@ -33,4 +33,3 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 - [Design Documents](../docs/design)
 - [Architectural Decision Records](../docs/decisions)
 - [MSFT Learn Docs](https://learn.microsoft.com/agent-framework/overview/agent-framework-overview)
-
@@ -65,7 +65,6 @@
    <Project Path="samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Agent_Step18_CompactionPipeline.csproj" />
    <Project Path="samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Agent_Step19_InFunctionLoopCheckpointing.csproj" />
    <Project Path="samples/02-agents/Agents/Agent_Step20_DynamicFunctionTools/Agent_Step20_DynamicFunctionTools.csproj" />
-    <Project Path="samples/02-agents/Agents/Agent_Step21_ShellWithEnvironment/Agent_Step21_ShellWithEnvironment.csproj" />
  </Folder>
  <Folder Name="/Samples/02-agents/DeclarativeAgents/">
    <Project Path="samples/02-agents/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
@@ -124,8 +123,6 @@
    <Project Path="samples/02-agents/Harness/Harness_Step01_Research/Harness_Step01_Research.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Step02_Research_WithSubAgents/Harness_Step02_Research_WithSubAgents.csproj" />
    <Project Path="samples/02-agents/Harness/Harness_Step03_DataProcessing/Harness_Step03_DataProcessing.csproj" />
-    <Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
-    <Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
  </Folder>
  <Folder Name="/Samples/02-agents/AGUI/Step05_StateManagement/">
    <Project Path="samples/02-agents/AGUI/Step05_StateManagement/Client/Client.csproj" />
@@ -170,7 +167,7 @@
    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Agent_Step22_MemorySearch.csproj" />
    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
-    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
+    <Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step25_ToolboxServerSideTools/Agent_Step25_ToolboxServerSideTools.csproj" />
  </Folder>
  <Folder Name="/Samples/02-agents/Evaluation/">
    <Project Path="samples/02-agents/Evaluation/Evaluation_CustomEvals/Evaluation_CustomEvals.csproj" />
@@ -178,12 +175,6 @@
    <Project Path="samples/02-agents/Evaluation/Evaluation_Multimodal/Evaluation_Multimodal.csproj" />
    <Project Path="samples/02-agents/Evaluation/Evaluation_SimpleEval/Evaluation_SimpleEval.csproj" />
  </Folder>
-  <Folder Name="/Samples/02-agents/AgentWithCodeAct/">
-    <File Path="samples/02-agents/AgentWithCodeAct/README.md" />
-    <Project Path="samples/02-agents/AgentWithCodeAct/AgentWithCodeAct_Step01_Interpreter/AgentWithCodeAct_Step01_Interpreter.csproj" />
-    <Project Path="samples/02-agents/AgentWithCodeAct/AgentWithCodeAct_Step02_ToolEnabled/AgentWithCodeAct_Step02_ToolEnabled.csproj" />
-    <Project Path="samples/02-agents/AgentWithCodeAct/AgentWithCodeAct_Step03_ManualWiring/AgentWithCodeAct_Step03_ManualWiring.csproj" />
-  </Folder>
  <Folder Name="/Samples/02-agents/AgentWithMemory/">
    <File Path="samples/02-agents/AgentWithMemory/README.md" />
    <Project Path="samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/AgentWithMemory_Step01_ChatHistoryMemory.csproj" />
@@ -242,7 +233,6 @@
    <Project Path="samples/03-workflows/Declarative/HostedWorkflow/HostedWorkflow.csproj" />
    <Project Path="samples/03-workflows/Declarative/InputArguments/InputArguments.csproj" />
    <Project Path="samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.csproj" />
-    <Project Path="samples/03-workflows/Declarative/InvokeFoundryToolboxMcp/InvokeFoundryToolboxMcp.csproj" />
    <Project Path="samples/03-workflows/Declarative/InvokeHttpRequest/InvokeHttpRequest.csproj" />
    <Project Path="samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.csproj" />
    <Project Path="samples/03-workflows/Declarative/Marketing/Marketing.csproj" />
@@ -299,7 +289,6 @@
  </Folder>
  <Folder Name="/Samples/03-workflows/Evaluation/">
    <Project Path="samples/03-workflows/Evaluation/Evaluation_WorkflowEval/Evaluation_WorkflowEval.csproj" />
-    <Project Path="samples/03-workflows/Evaluation/Evaluation_WorkflowExpectedOutputs/Evaluation_WorkflowExpectedOutputs.csproj" />
  </Folder>
  <Folder Name="/Samples/04-hosting/">
  </Folder>
@@ -318,24 +307,15 @@
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/">
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/HostedFoundryAgent.csproj" />
  </Folder>
-  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/HostedFiles.csproj" />
-  </Folder>
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/">
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/HostedLocalTools.csproj" />
  </Folder>
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/">
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/HostedMcpTools.csproj" />
  </Folder>
-  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/HostedObservability.csproj" />
-  </Folder>
  <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-AzureSearchRag/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/HostedAzureSearchRag.csproj" />
-  </Folder>
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/">
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/HostedTextRag.csproj" />
  </Folder>
@@ -343,7 +323,6 @@
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Simple/HostedWorkflowSimple.csproj" />
  </Folder>
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Using-Samples/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Using-Samples/SessionFilesClient/SessionFilesClient.csproj" />
    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Using-Samples/SimpleAgent/SimpleAgent.csproj" />
  </Folder>
  <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Handoff/">
@@ -378,7 +357,7 @@
    <Project Path="samples/02-agents/A2A/A2AAgent_PollingForTaskCompletion/A2AAgent_PollingForTaskCompletion.csproj" />
    <Project Path="samples/02-agents/A2A/A2AAgent_ProtocolSelection/A2AAgent_ProtocolSelection.csproj" />
    <Project Path="samples/02-agents/A2A/A2AAgent_StreamReconnection/A2AAgent_StreamReconnection.csproj" />
-  </Folder>
+  </Folder>  
  <Folder Name="/Samples/05-end-to-end/">
    <Project Path="samples/05-end-to-end/AgentWithPurview/AgentWithPurview.csproj" />
    <Project Path="samples/05-end-to-end/M365Agent/M365Agent.csproj" />
@@ -556,16 +535,6 @@
  <Folder Name="/Solution Items/src/Shared/StructuredOutput/">
    <File Path="src/Shared/StructuredOutput/StructuredOutputSchemaUtilities.cs" />
  </Folder>
-  <Folder Name="/Solution Items/src/Shared/Workflows/" />
-  <Folder Name="/Solution Items/src/Shared/Workflows/Execution/">
-    <File Path="src/Shared/Workflows/Execution/README.md" />
-    <File Path="src/Shared/Workflows/Execution/WorkflowFactory.cs" />
-    <File Path="src/Shared/Workflows/Execution/WorkflowRunner.cs" />
-  </Folder>
-  <Folder Name="/Solution Items/src/Shared/Workflows/Settings/">
-    <File Path="src/Shared/Workflows/Settings/Application.cs" />
-    <File Path="src/Shared/Workflows/Settings/README.md" />
-  </Folder>
  <Folder Name="/Solution Items/tests/">
    <File Path="tests/.editorconfig" />
    <File Path="tests/Directory.Build.props" />
@@ -584,7 +553,6 @@
    <Project Path="src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Foundry.Hosting/Microsoft.Agents.AI.Foundry.Hosting.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Foundry/Microsoft.Agents.AI.Foundry.csproj" />
-    <Project Path="src/Microsoft.Agents.AI.Harness/Microsoft.Agents.AI.Harness.csproj" />
    <Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.A2A.AspNetCore/Microsoft.Agents.AI.Hosting.A2A.AspNetCore.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.A2A/Microsoft.Agents.AI.Hosting.A2A.csproj" />
@@ -592,11 +560,9 @@
    <Project Path="src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
-    <Project Path="src/Microsoft.Agents.AI.Hyperlight/Microsoft.Agents.AI.Hyperlight.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
    <Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
-    <Project Path="src/Microsoft.Agents.AI.Tools.Shell/Microsoft.Agents.AI.Tools.Shell.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.Foundry/Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.Mcp/Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj" />
    <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
@@ -610,16 +576,12 @@
    <Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
    <Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
    <Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
-    <Project Path="tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj" />
-    <Project Path="tests/Foundry.Hosting.IntegrationTests.TestContainer/Foundry.Hosting.IntegrationTests.TestContainer.csproj" />
    <Project Path="tests/Foundry.IntegrationTests/Foundry.IntegrationTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.Hyperlight.IntegrationTests/Microsoft.Agents.AI.Hyperlight.IntegrationTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Mem0.IntegrationTests/Microsoft.Agents.AI.Mem0.IntegrationTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.Tools.Shell.IntegrationTests/Microsoft.Agents.AI.Tools.Shell.IntegrationTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.csproj" />
    <Project Path="tests/OpenAIAssistant.IntegrationTests/OpenAIAssistant.IntegrationTests.csproj" />
    <Project Path="tests/OpenAIChatCompletion.IntegrationTests/OpenAIChatCompletion.IntegrationTests.csproj" />
@@ -639,17 +601,14 @@
    <Project Path="tests/Microsoft.Agents.AI.Foundry.UnitTests/Microsoft.Agents.AI.Foundry.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests/Microsoft.Agents.AI.Foundry.Hosting.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.Harness.UnitTests/Microsoft.Agents.AI.Harness.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.A2A.UnitTests/Microsoft.Agents.AI.Hosting.A2A.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Hosting.UnitTests/Microsoft.Agents.AI.Hosting.UnitTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.Hyperlight.UnitTests/Microsoft.Agents.AI.Hyperlight.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />
-    <Project Path="tests/Microsoft.Agents.AI.Tools.Shell.UnitTests/Microsoft.Agents.AI.Tools.Shell.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.UnitTests/Microsoft.Agents.AI.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.Mcp.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.Mcp.UnitTests.csproj" />
    <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests.csproj" />
@@ -7,7 +7,6 @@
      "src\\Microsoft.Agents.AI.AGUI\\Microsoft.Agents.AI.AGUI.csproj",
      "src\\Microsoft.Agents.AI.Anthropic\\Microsoft.Agents.AI.Anthropic.csproj",
      "src\\Microsoft.Agents.AI.GitHub.Copilot\\Microsoft.Agents.AI.GitHub.Copilot.csproj",
-      "src\\Microsoft.Agents.AI.Harness\\Microsoft.Agents.AI.Harness.csproj",
      "src\\Microsoft.Agents.AI.AzureAI.Persistent\\Microsoft.Agents.AI.AzureAI.Persistent.csproj",
      "src\\Microsoft.Agents.AI.Foundry\\Microsoft.Agents.AI.Foundry.csproj",
      "src\\Microsoft.Agents.AI.Foundry.Hosting\\Microsoft.Agents.AI.Foundry.Hosting.csproj",
@@ -31,8 +30,7 @@
      "src\\Microsoft.Agents.AI.Workflows.Generators\\Microsoft.Agents.AI.Workflows.Generators.csproj",
      "src\\Microsoft.Agents.AI.Workflows\\Microsoft.Agents.AI.Workflows.csproj",
      "src\\Microsoft.Agents.AI\\Microsoft.Agents.AI.csproj",
-      "src\\Aspire.Hosting.AgentFramework.DevUI\\Aspire.Hosting.AgentFramework.DevUI.csproj",
-      "src\\Microsoft.Agents.AI.Hyperlight\\Microsoft.Agents.AI.Hyperlight.csproj"
+      "src\\Aspire.Hosting.AgentFramework.DevUI\\Aspire.Hosting.AgentFramework.DevUI.csproj"
    ]
  }
 }
@@ -21,15 +21,10 @@
 .PARAMETER Configuration
    Optional MSBuild configuration used when querying TargetFrameworks. Defaults to Debug.

-.PARAMETER TestProjectNameIncludeFilter
+.PARAMETER TestProjectNameFilter
    Optional wildcard pattern to filter test project names (e.g., *UnitTests*, *IntegrationTests*).
    When specified, only test projects whose filename matches this pattern are kept.

-.PARAMETER TestProjectNameExcludeFilter
-    Optional wildcard pattern(s) to exclude test projects by name (e.g., *DurableTask.IntegrationTests*).
-    When specified, test projects whose filename matches any of these patterns are removed.
-    Applied after TestProjectNameIncludeFilter. Can be a single string or an array of strings.
-
 .PARAMETER ExcludeSamples
    When specified, removes all projects under the samples/ directory from the solution.

@@ -43,15 +38,11 @@

 .EXAMPLE
    # Generate a solution with only unit test projects
-    ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -TestProjectNameIncludeFilter "*UnitTests*" -OutputPath filtered-unit.slnx
+    ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -TestProjectNameFilter "*UnitTests*" -OutputPath filtered-unit.slnx

 .EXAMPLE
    # Inline usage with dotnet test (PowerShell)
    dotnet test --solution (./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net472) --no-build -f net472
-
-.EXAMPLE
-    # Generate integration tests excluding DurableTask and AzureFunctions
-    ./dotnet/eng/scripts/New-FilteredSolution.ps1 -Solution dotnet/agent-framework-dotnet.slnx -TargetFramework net10.0 -TestProjectNameIncludeFilter "*IntegrationTests*" -TestProjectNameExcludeFilter "*DurableTask.IntegrationTests*","*AzureFunctions.IntegrationTests*" -OutputPath filtered-other-integration.slnx
 #>

 [CmdletBinding()]
@@ -64,9 +55,7 @@ param(

    [string]$Configuration = "Debug",

-    [string]$TestProjectNameIncludeFilter,
-
-    [string[]]$TestProjectNameExcludeFilter,
+    [string]$TestProjectNameFilter,

    [switch]$ExcludeSamples,

@@ -111,30 +100,13 @@ foreach ($proj in $allProjects) {
    $isTestProject = $projRelPath -like "*tests/*"

    # Filter test projects by name pattern if specified
-    if ($isTestProject -and $TestProjectNameIncludeFilter -and ($projFileName -notlike $TestProjectNameIncludeFilter)) {
+    if ($isTestProject -and $TestProjectNameFilter -and ($projFileName -notlike $TestProjectNameFilter)) {
        Write-Verbose "Removing (name filter): $projRelPath"
        $removed += $projRelPath
        $proj.ParentNode.RemoveChild($proj) | Out-Null
        continue
    }

-    # Exclude test projects matching any exclusion pattern
-    if ($isTestProject -and $TestProjectNameExcludeFilter) {
-        $excluded = $false
-        foreach ($pattern in $TestProjectNameExcludeFilter) {
-            if ($projFileName -like $pattern) {
-                $excluded = $true
-                break
-            }
-        }
-        if ($excluded) {
-            Write-Verbose "Removing (exclude filter): $projRelPath"
-            $removed += $projRelPath
-            $proj.ParentNode.RemoveChild($proj) | Out-Null
-            continue
-        }
-    }
-
    if (-not (Test-Path $projFullPath)) {
        Write-Verbose "Project not found, keeping in solution: $projRelPath"
        $kept += $projRelPath
@@ -478,17 +478,6 @@ internal static class WorkflowSamples
            ExpectedOutputDescription = ["The output should show a workflow invoking a function tool (e.g. a menu plugin) to answer a question about the soup of the day."],
        },

-        new SampleDefinition
-        {
-            Name = "Workflow_Declarative_InvokeFoundryToolboxMcp",
-            ProjectPath = "samples/03-workflows/Declarative/InvokeFoundryToolboxMcp",
-            RequiredEnvironmentVariables = ["AZURE_AI_PROJECT_ENDPOINT"],
-            OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME", "FOUNDRY_TOOLBOX_NAME", "FOUNDRY_AGENT_TOOLSET_API_VERSION"],
-            Inputs = ["How do I use Azure OpenAI with my data?"],
-            InputDelayMs = 3000,
-            ExpectedOutputDescription = ["The output should show a workflow using Foundry Toolbox MCP tools to search Microsoft Learn documentation and web search to provide a summary of results."],
-        },
-
        new SampleDefinition
        {
            Name = "Workflow_Declarative_InvokeMcpTool",
@@ -1,14 +1,14 @@
 <Project>
  <PropertyGroup>
    <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.6.1</VersionPrefix>
+    <VersionPrefix>1.3.0</VersionPrefix>
    <RCNumber>1</RCNumber>
-    <DateSuffix>260514</DateSuffix>
+    <DateSuffix>260423</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>1.6.1</GitTag>
+    <GitTag>1.3.0</GitTag>

    <Configurations>Debug;Release;Publish</Configurations>
    <IsPackable>true</IsPackable>
@@ -50,12 +50,12 @@ Console.WriteLine(await agent.RunAsync("My name is Ruaidhrí", session));
 Console.WriteLine(await agent.RunAsync("I am 20 years old", session));

 // We can serialize the session. The serialized state will include the state of the memory component.
-JsonElement sessionElement = await agent.SerializeSessionAsync(session);
+JsonElement sesionElement = await agent.SerializeSessionAsync(session);

 Console.WriteLine("\n>> Use deserialized session with previously created memories\n");

 // Later we can deserialize the session and continue the conversation with the previous memory component state.
-var deserializedSession = await agent.DeserializeSessionAsync(sessionElement);
+var deserializedSession = await agent.DeserializeSessionAsync(sesionElement);
 Console.WriteLine(await agent.RunAsync("What is my name and age?", deserializedSession));

 Console.WriteLine("\n>> Read memories using memory component\n");
@@ -12,9 +12,7 @@ static Task<PermissionRequestResult> PromptPermission(PermissionRequest request,
    Console.Write("Approve? (y/n): ");

    string? input = Console.ReadLine()?.Trim().ToUpperInvariant();
-    PermissionRequestResultKind kind = input is "Y" or "YES"
-                                     ? PermissionRequestResultKind.Approved
-                                     : PermissionRequestResultKind.Rejected;
+    string kind = input is "Y" or "YES" ? "approved" : "denied-interactively-by-user";

    return Task.FromResult(new PermissionRequestResult { Kind = kind });
 }
@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.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.Hyperlight\Microsoft.Agents.AI.Hyperlight.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,30 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to use HyperlightCodeActProvider as a sandboxed Python
-// code interpreter: the model can write and execute arbitrary Python code to
-// answer quantitative questions without calling any additional tools.
-
-using Azure.AI.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Hyperlight;
-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";
-var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH") ?? throw new InvalidOperationException("HYPERLIGHT_PYTHON_GUEST_PATH is not set.");
-
-using var codeAct = new HyperlightCodeActProvider(HyperlightCodeActProviderOptions.CreateForWasm(guestPath));
-
-AIAgent agent = new AzureOpenAIClient(
-    new Uri(endpoint),
-    new DefaultAzureCredential())
-    .GetChatClient(deploymentName)
-    .AsAIAgent(new ChatClientAgentOptions()
-    {
-        ChatOptions = new() { Instructions = "You are a helpful assistant. When the user asks something quantitative, write Python and call `execute_code` instead of guessing." },
-        AIContextProviders = [codeAct],
-    });
-
-Console.WriteLine(await agent.RunAsync("What is the 20th Fibonacci number?"));
-Console.WriteLine(await agent.RunAsync("Compute the mean and standard deviation of [1, 4, 9, 16, 25, 36]."));
@@ -1,35 +0,0 @@
-# AgentWithCodeAct_Step01_Interpreter
-
-A minimal CodeAct sample. The agent uses `HyperlightCodeActProvider` as a
-sandboxed Python interpreter: when the user asks something quantitative, the
-model writes Python and invokes the `execute_code` tool rather than answering
-from memory.
-
-## Configuration
-
-| Variable                       | Description                                                                               |
-|--------------------------------|-------------------------------------------------------------------------------------------|
-| `AZURE_OPENAI_ENDPOINT`        | Azure OpenAI endpoint. Required.                                                          |
-| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`.                                      |
-| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required.   |
-
-Authentication uses `DefaultAzureCredential`.
-
-## Getting the guest module
-
-The Python guest module is built from the
-[hyperlight-dev/hyperlight-sandbox](https://github.com/hyperlight-dev/hyperlight-sandbox)
-repository — see its README for the exact `cargo`/`just` invocations and
-the location of the resulting `.wasm` / `.aot` file. Set
-`HYPERLIGHT_PYTHON_GUEST_PATH` to the absolute path of that artifact
-before running the sample.
-
-Hyperlight requires a hardware virtualization back end on the host:
-KVM on Linux or WHP (Windows Hypervisor Platform) on Windows.
-
-## Run
-
-```shell
-cd AgentWithCodeAct_Step01_Interpreter
-dotnet run
-```
@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.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.Hyperlight\Microsoft.Agents.AI.Hyperlight.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,52 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to use HyperlightCodeActProvider with provider-owned
-// tools (exposed inside the sandbox via `call_tool(...)`). The model can
-// orchestrate those tools in a single Python block, reducing round-trips. A
-// sensitive tool (`send_email`) is additionally wrapped in
-// ApprovalRequiredAIFunction so any code that reaches it requires user approval
-// for the entire execute_code invocation.
-
-using Azure.AI.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Hyperlight;
-using Microsoft.Extensions.AI;
-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";
-var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH") ?? throw new InvalidOperationException("HYPERLIGHT_PYTHON_GUEST_PATH is not set.");
-
-AIFunction fetchDocs = AIFunctionFactory.Create(
-    (string topic) => $"Docs for {topic}: (...)",
-    name: "fetch_docs",
-    description: "Fetch documentation for a given topic.");
-
-AIFunction queryData = AIFunctionFactory.Create(
-    (string query) => $"Rows for `{query}`: []",
-    name: "query_data",
-    description: "Run a read-only SQL-like query against the sample store.");
-
-AIFunction sendEmail = new ApprovalRequiredAIFunction(
-    AIFunctionFactory.Create(
-        (string to, string subject) => $"Sent '{subject}' to {to}.",
-        name: "send_email",
-        description: "Send an email on behalf of the user."));
-
-var options = HyperlightCodeActProviderOptions.CreateForWasm(guestPath);
-options.Tools = [fetchDocs, queryData, sendEmail];
-
-using var codeAct = new HyperlightCodeActProvider(options);
-
-AIAgent agent = new AzureOpenAIClient(
-    new Uri(endpoint),
-    new DefaultAzureCredential())
-    .GetChatClient(deploymentName)
-    .AsAIAgent(new ChatClientAgentOptions()
-    {
-        ChatOptions = new() { Instructions = "You are a helpful assistant. Prefer orchestrating your work in a single `execute_code` block using `call_tool(...)` over issuing many direct tool calls." },
-        AIContextProviders = [codeAct],
-    });
-
-Console.WriteLine(await agent.RunAsync("Look up docs on 'retries' and query the 'orders' table, then summarize."));
@@ -1,34 +0,0 @@
-# AgentWithCodeAct_Step02_ToolEnabled
-
-Demonstrates adding provider-owned tools to `HyperlightCodeActProvider`. Those
-tools are **only** available to code running inside the sandbox via
-`call_tool("<name>", ...)` — they are never exposed to the model as direct
-tools. This lets the model orchestrate multiple tool calls in a single Python
-block.
-
-One tool (`send_email`) is wrapped in `ApprovalRequiredAIFunction`, which causes
-the entire `execute_code` invocation to require user approval when that tool
-is configured.
-
-## Configuration
-
-| Variable                       | Description                                                                               |
-|--------------------------------|-------------------------------------------------------------------------------------------|
-| `AZURE_OPENAI_ENDPOINT`        | Azure OpenAI endpoint. Required.                                                          |
-| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`.                                      |
-| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required.   |
-
-## Run
-
-```shell
-cd AgentWithCodeAct_Step02_ToolEnabled
-dotnet run
-```
-
-## Planned follow-up
-
-A more realistic "upload a file (e.g. an Excel workbook), have the agent
-analyze it with code" sample is planned as a separate step that will use
-`HostInputDirectory` together with a guest tool capable of reading the
-uploaded file. It will be added in a follow-up PR once the corresponding
-guest module support is in place.
@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.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.Hyperlight\Microsoft.Agents.AI.Hyperlight.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,40 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample shows how to wire up CodeAct manually using
-// HyperlightExecuteCodeFunction rather than the AIContextProvider. Use this
-// when you want a fixed tool surface for the agent's lifetime and don't need
-// the per-run snapshot/registry semantics of HyperlightCodeActProvider.
-
-using Azure.AI.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Hyperlight;
-using Microsoft.Extensions.AI;
-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";
-var guestPath = Environment.GetEnvironmentVariable("HYPERLIGHT_PYTHON_GUEST_PATH") ?? throw new InvalidOperationException("HYPERLIGHT_PYTHON_GUEST_PATH is not set.");
-
-AIFunction calculate = AIFunctionFactory.Create(
-    (double a, double b) => a * b,
-    name: "multiply",
-    description: "Multiply two numbers.");
-
-var options = HyperlightCodeActProviderOptions.CreateForWasm(guestPath);
-options.Tools = [calculate];
-
-using var executeCode = new HyperlightExecuteCodeFunction(options);
-
-var instructions =
-    "You are a helpful assistant. When math is involved, solve it by writing Python "
-    + "and calling `execute_code` instead of computing values yourself.\n\n"
-    + executeCode.BuildInstructions(toolsVisibleToModel: false);
-
-AIAgent agent = new AzureOpenAIClient(
-    new Uri(endpoint),
-    new DefaultAzureCredential())
-    .GetChatClient(deploymentName)
-    .AsAIAgent(instructions: instructions, tools: [executeCode]);
-
-Console.WriteLine(await agent.RunAsync("What is 12.3 * 4.5? Use the multiply tool from within `execute_code`."));
@@ -1,21 +0,0 @@
-# AgentWithCodeAct_Step03_ManualWiring
-
-Shows how to wire CodeAct manually using `HyperlightExecuteCodeFunction` as a
-direct agent tool instead of via an `AIContextProvider`. This is useful when
-the sandbox's tool surface and capabilities are fixed for the agent's
-lifetime, avoiding per-run snapshot/restore of the provider registry.
-
-## Configuration
-
-| Variable                       | Description                                                                               |
-|--------------------------------|-------------------------------------------------------------------------------------------|
-| `AZURE_OPENAI_ENDPOINT`        | Azure OpenAI endpoint. Required.                                                          |
-| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure OpenAI deployment. Defaults to `gpt-5.4-mini`.                                      |
-| `HYPERLIGHT_PYTHON_GUEST_PATH` | Absolute path to the Hyperlight Python guest module (`.wasm` or `.aot` file). Required.   |
-
-## Run
-
-```shell
-cd AgentWithCodeAct_Step03_ManualWiring
-dotnet run
-```
@@ -1,16 +0,0 @@
-# Agent Framework CodeAct (Hyperlight) Samples
-
-These samples show how to enable an agent to write and execute code in a
-Hyperlight-backed sandbox via the CodeAct pattern. Guest code can be pure
-Python (interpreter mode) or orchestrate host-provided tools through
-`call_tool(...)` — all inside a secure sandbox with opt-in filesystem and
-network access.
-
-|Sample|Description|
-|---|---|
-|[Code interpreter](./AgentWithCodeAct_Step01_Interpreter/)|Uses `HyperlightCodeActProvider` as a sandboxed Python interpreter with no host tools.|
-|[Tool-enabled CodeAct](./AgentWithCodeAct_Step02_ToolEnabled/)|Registers provider-owned tools that guest code can orchestrate via `call_tool(...)`, with an approval-required tool for sensitive actions.|
-|[Manual wiring](./AgentWithCodeAct_Step03_ManualWiring/)|Uses `HyperlightExecuteCodeFunction` directly as an agent tool when the sandbox configuration is fixed.|
-
-All samples require a Hyperlight Python guest module. Set
-`HYPERLIGHT_PYTHON_GUEST_PATH` to its absolute path before running.
@@ -8,11 +8,6 @@
 // even if the process is interrupted mid-loop, but may also result in chat history that is not
 // yet finalized (e.g., tool calls without results) being persisted, which may be undesirable in some cases.
 //
-// Additionally, this sample demonstrates the MessageInjectingChatClient feature, which allows tool
-// code to inject new user messages during the function execution loop. When a tool or anything else enqueues
-// a message via MessageInjectingChatClient.EnqueueMessages during the tool execution loop, the PerServiceCallChatHistoryPersistingChatClient
-// detects the pending message before the next service call and includes the injected message in the request.
-//
 // To use end-of-run persistence instead (atomic run semantics), remove the
 // RequirePerServiceCallChatHistoryPersistence = true setting (or set it to false). End-of-run
 // persistence is the default behavior.
@@ -59,37 +54,6 @@ static string GetTime([Description("The city name.")] string city) =>
        _ => $"{city}: time data not available."
    };

-// This tool demonstrates message injection during the function execution loop.
-// When called, it checks travel advisories for a city. If an advisory is active, it uses
-// the ambient run context to resolve MessageInjectingChatClient and injects a follow-up user message
-// asking for alternative destinations. The model will process this injected message on the next
-// service call — even though the parent FunctionInvokingChatClient loop would otherwise stop.
-[Description("Check current travel advisories for a city.")]
-static string CheckTravelAdvisory([Description("The city name.")] string city)
-{
-    // Simulated travel advisory data.
-    var advisory = city.ToUpperInvariant() switch
-    {
-        "LONDON" => "Travel advisory: Severe fog warnings in London. Flights may be delayed or cancelled.",
-        "SEATTLE" => "Travel advisory: Heavy rainfall expected. Flooding possible in low-lying areas.",
-        _ => null
-    };
-
-    if (advisory is null)
-    {
-        return $"{city}: No active travel advisories.";
-    }
-
-    // When an advisory is found, inject a follow-up question so the model automatically
-    // suggests alternatives without the user needing to ask.
-    var runContext = AIAgent.CurrentRunContext!;
-    runContext.Agent.GetService<MessageInjectingChatClient>()?.EnqueueMessages(
-        runContext.Session!,
-        [new ChatMessage(ChatRole.User, $"Given the travel advisory for {city}, what alternative cities would you recommend instead?")]);
-
-    return advisory;
-}
-
 // Create the agent — per-service-call persistence is enabled via RequirePerServiceCallChatHistoryPersistence.
 // The in-memory ChatHistoryProvider is used by default when the service does not require service stored chat
 // history, so for those cases, we can inspect the chat history via session.TryGetInMemoryChatHistory().
@@ -101,11 +65,10 @@ AIAgent agent = chatClient.AsAIAgent(
    {
        Name = "WeatherAssistant",
        RequirePerServiceCallChatHistoryPersistence = true,
-        EnableMessageInjection = true,
        ChatOptions = new()
        {
-            Instructions = "You are a helpful travel assistant. When asked about cities, call the appropriate tools for each city.",
-            Tools = [AIFunctionFactory.Create(GetWeather), AIFunctionFactory.Create(GetTime), AIFunctionFactory.Create(CheckTravelAdvisory)]
+            Instructions = "You are a helpful assistant. When asked about multiple cities, call the appropriate tool for each city.",
+            Tools = [AIFunctionFactory.Create(GetWeather), AIFunctionFactory.Create(GetTime)]
        },
    });

@@ -146,18 +109,6 @@ async Task RunNonStreamingAsync()
    response = await agent.RunAsync(FollowUp2, session);
    PrintAgentResponse(response.Text);
    PrintChatHistory(session, "After third run", ref lastChatHistorySize, ref lastConversationId);
-
-    // Fourth turn — demonstrates message injection during the function loop.
-    // The CheckTravelAdvisory tool detects an advisory for London and injects a follow-up
-    // user message asking for alternative cities. After the tool completes, the internal loop
-    // in PerServiceCallChatHistoryPersistingChatClient detects the pending injected message
-    // and calls the service again, so the model answers the follow-up automatically.
-    const string TravelPrompt = "I'm planning to travel to London next week. Check if there are any travel advisories.";
-    PrintUserMessage(TravelPrompt);
-
-    response = await agent.RunAsync(TravelPrompt, session);
-    PrintAgentResponse(response.Text);
-    PrintChatHistory(session, "After travel advisory run", ref lastChatHistorySize, ref lastConversationId);
 }

 async Task RunStreamingAsync()
@@ -230,30 +181,6 @@ async Task RunStreamingAsync()

    Console.WriteLine();
    PrintChatHistory(session, "After third run", ref lastChatHistorySize, ref lastConversationId);
-
-    // Fourth turn — demonstrates message injection during the function loop (streaming).
-    // The CheckTravelAdvisory tool detects an advisory for London and injects a follow-up
-    // user message asking for alternative cities. After the tool completes, the internal loop
-    // in PerServiceCallChatHistoryPersistingChatClient detects the pending injected message
-    // and calls the service again, so the model answers the follow-up automatically.
-    const string TravelPrompt = "I'm planning to travel to London next week. Check if there are any travel advisories.";
-    PrintUserMessage(TravelPrompt);
-
-    Console.ForegroundColor = ConsoleColor.Cyan;
-    Console.Write("\n[Agent] ");
-    Console.ResetColor();
-
-    await foreach (var update in agent.RunStreamingAsync(TravelPrompt, session))
-    {
-        Console.Write(update);
-
-        // During streaming we should be able to see updates to the chat history
-        // before the full run completes, as each service call is made and persisted.
-        PrintChatHistory(session, "During travel advisory run", ref lastChatHistorySize, ref lastConversationId);
-    }
-
-    Console.WriteLine();
-    PrintChatHistory(session, "After travel advisory run", ref lastChatHistorySize, ref lastConversationId);
 }

 void PrintUserMessage(string message)
@@ -1,22 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.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.Tools.Shell\Microsoft.Agents.AI.Tools.Shell.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,130 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// Shell tool with environment-aware system prompt
-//
-// WARNING: This sample uses LocalShellExecutor, which executes real commands
-// against the shell on this machine. Approval gating is disabled here so
-// the demo runs unattended; in any real application keep approval on
-// (the default), or use DockerShellExecutor for container isolation. The
-// commands the model emits below are read-only or scoped (echo, cd into
-// a temp folder, set a process-local env var) but a different model or
-// prompt could choose to do something destructive. Run this only in an
-// environment where you are comfortable with the agent typing into your
-// terminal.
-//
-// Demonstrates LocalShellExecutor in both modes paired with
-// ShellEnvironmentProvider, an AIContextProvider that probes the live
-// shell (OS, family, version, CWD, common CLIs) and injects authoritative
-// system-prompt instructions so the agent emits commands in the right
-// idiom (PowerShell vs POSIX).
-//
-// Two runs:
-//   1) Stateless mode: each tool call runs in a fresh shell. Useful when
-//      commands are independent (read-only scripts, version checks, file
-//      listings) and you want strong isolation between calls. Side
-//      effects in one call (cd, exported variables) do NOT carry to the
-//      next.
-//   2) Persistent mode: a single long-lived shell is reused across calls,
-//      so working directory and exported environment variables are
-//      preserved. Useful for multi-step workflows that build state
-//      (cd into a folder and run a sequence of commands there; set a
-//      token in one step and read it in the next).
-
-using Azure.AI.OpenAI;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Tools.Shell;
-using Microsoft.Extensions.AI;
-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";
-
-var chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
-    .GetChatClient(deploymentName);
-
-const string Instructions = """
-    You are an agent with a single tool: run_shell. Use it to satisfy the
-    user's request. Do not describe what you would do — actually run the
-    commands. Reply with the final answer derived from real output.
-    """;
-
-// --------------------------------------------------------------------
-// 1. Stateless mode — each call gets a fresh shell.
-// --------------------------------------------------------------------
-Console.WriteLine("### Stateless mode\n");
-await using (var statelessShell = new LocalShellExecutor(new() { Mode = ShellMode.Stateless, AcknowledgeUnsafe = true }))
-{
-    var envProvider = new ShellEnvironmentProvider(statelessShell);
-    var statelessAgent = chatClient.AsAIAgent(new ChatClientAgentOptions
-    {
-        ChatOptions = new()
-        {
-            Instructions = Instructions,
-            Tools = [statelessShell.AsAIFunction(requireApproval: false)],
-        },
-        AIContextProviders = [envProvider],
-    });
-
-    var statelessSession = await statelessAgent.CreateSessionAsync();
-    Console.WriteLine(await statelessAgent.RunAsync("Print the current working directory.", statelessSession));
-    Console.WriteLine();
-
-    // Show that side effects do NOT carry between stateless calls: ask the
-    // agent to cd into the system temp directory in one call, then ask
-    // for the CWD in a second call. Stateless mode means the cd is gone.
-    Console.WriteLine(await statelessAgent.RunAsync("Change directory into the system temp folder, then print the current working directory.", statelessSession));
-    Console.WriteLine();
-    Console.WriteLine(await statelessAgent.RunAsync("In a NEW shell call, print the current working directory again. Tell me whether it matches the temp folder from the previous call.", statelessSession));
-    Console.WriteLine();
-
-    PrintSnapshot(envProvider.CurrentSnapshot!);
-}
-
-// --------------------------------------------------------------------
-// 2. Persistent mode — one shell, reused across calls. State carries.
-// --------------------------------------------------------------------
-Console.WriteLine("\n### Persistent mode\n");
-await using (var persistentShell = new LocalShellExecutor(new() { Mode = ShellMode.Persistent, AcknowledgeUnsafe = true }))
-{
-    var envProvider = new ShellEnvironmentProvider(persistentShell);
-    var persistentAgent = chatClient.AsAIAgent(new ChatClientAgentOptions
-    {
-        ChatOptions = new()
-        {
-            Instructions = Instructions,
-            Tools = [persistentShell.AsAIFunction(requireApproval: false)],
-        },
-        AIContextProviders = [envProvider],
-    });
-
-    var persistentSession = await persistentAgent.CreateSessionAsync();
-
-    // State carries across calls in persistent mode: cd into temp, then
-    // verify the next call sees the new CWD.
-    Console.WriteLine(await persistentAgent.RunAsync("Change directory into the system temp folder, then print the current working directory.", persistentSession));
-    Console.WriteLine();
-    Console.WriteLine(await persistentAgent.RunAsync("In a NEW shell call, print the current working directory again. Tell me whether it still matches the temp folder.", persistentSession));
-    Console.WriteLine();
-
-    // Same idea with an exported variable: set in one call, read in the next.
-    Console.WriteLine(await persistentAgent.RunAsync("Set the environment variable DEMO_TOKEN to the value 'hello-world'.", persistentSession));
-    Console.WriteLine();
-    Console.WriteLine(await persistentAgent.RunAsync("Print the current value of DEMO_TOKEN. Tell me exactly what value the shell reports.", persistentSession));
-    Console.WriteLine();
-
-    PrintSnapshot(envProvider.CurrentSnapshot!);
-}
-
-static void PrintSnapshot(ShellEnvironmentSnapshot snap)
-{
-    Console.WriteLine("--- Captured environment snapshot ---");
-    Console.WriteLine($"  Family:  {snap.Family}");
-    Console.WriteLine($"  OS:      {snap.OSDescription}");
-    Console.WriteLine($"  Shell:   {snap.ShellVersion ?? "(unknown)"}");
-    Console.WriteLine($"  CWD:     {snap.WorkingDirectory}");
-    foreach (var (tool, version) in snap.ToolVersions)
-    {
-        Console.WriteLine($"  {tool,-8} {version ?? "(not installed)"}");
-    }
-}
@@ -1,21 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="ModelContextProtocol" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,149 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// Foundry Toolbox via MCP (Streamable HTTP).
-//
-// Point an `McpClient` at a Foundry Toolbox's MCP endpoint. The agent
-// discovers the toolbox's tools at runtime and invokes them locally.
-
-using System.ClientModel;
-using System.ClientModel.Primitives;
-using System.Net.Http.Headers;
-using Azure.AI.Projects;
-using Azure.AI.Projects.Agents;
-using Azure.Core;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-using ModelContextProtocol.Client;
-using OpenAI.Responses;
-
-#pragma warning disable OPENAI001 // Experimental API
-#pragma warning disable AAIP001  // AgentToolboxes is experimental
-
-// Name of the toolbox to create and connect to.
-const string ToolboxName = "research_toolbox";
-const string Query = "What tools do you have access to?";
-
-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";
-
-TokenCredential credential = new DefaultAzureCredential();
-
-// Comment out if the toolbox already exists in your Foundry project.
-var toolboxEndpoint = await CreateSampleToolboxAsync(ToolboxName, endpoint, credential);
-
-// Inject a fresh Azure AI bearer token on every MCP request.
-using var httpClient = new HttpClient(new BearerTokenHandler(credential, "https://ai.azure.com/.default")
-{
-    InnerHandler = new HttpClientHandler(),
-});
-
-Console.WriteLine($"Connecting to toolbox MCP endpoint: {toolboxEndpoint}");
-
-await using McpClient mcpClient = await McpClient.CreateAsync(
-    new HttpClientTransport(
-        new HttpClientTransportOptions
-        {
-            Endpoint = new Uri(toolboxEndpoint),
-            Name = "foundry_toolbox",
-            TransportMode = HttpTransportMode.StreamableHttp,
-            AdditionalHeaders = new Dictionary<string, string>
-            {
-                ["Foundry-Features"] = "Toolboxes=V1Preview",
-            },
-        },
-        httpClient));
-
-IList<McpClientTool> mcpTools = await mcpClient.ListToolsAsync();
-Console.WriteLine($"Toolbox MCP tools available: {string.Join(", ", mcpTools.Select(t => t.Name))}");
-
-// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
-
-AIAgent agent = aiProjectClient.AsAIAgent(
-    model: deploymentName,
-    instructions: "You are a helpful assistant. Use the available toolbox tools to answer the user.",
-    name: "ToolboxMcpAgent",
-    tools: [.. mcpTools.Cast<AITool>()]);
-
-Console.WriteLine($"\nUser: {Query}\n");
-Console.WriteLine($"Assistant: {await agent.RunAsync(Query)}");
-
-// ---------------------------------------------------------------------------
-// Helper: create (or replace) a sample toolbox so the sample runs end-to-end
-// ---------------------------------------------------------------------------
-static async Task<string> CreateSampleToolboxAsync(string name, string endpoint, TokenCredential credential)
-{
-    // Toolboxes are normally configured in the Foundry portal or a deployment
-    // script, not the application itself. This helper exists so the sample can
-    // be run end-to-end without first setting a toolbox up by hand.
-
-    // The Foundry-Features header is currently required for toolbox CRUD operations.
-    var options = new AgentAdministrationClientOptions();
-    options.AddPolicy(new FoundryFeaturesPolicy("Toolboxes=V1Preview"), PipelinePosition.PerCall);
-    var adminClient = new AgentAdministrationClient(new Uri(endpoint), credential, options);
-    var toolboxClient = adminClient.GetAgentToolboxes();
-
-    // Delete existing toolbox if present (ignore 404).
-    try
-    {
-        await toolboxClient.DeleteToolboxAsync(name);
-        Console.WriteLine($"Deleted existing toolbox '{name}'");
-    }
-    catch (ClientResultException ex) when (ex.Status == 404)
-    {
-        // Toolbox does not exist — nothing to delete.
-    }
-
-    // Create a fresh version with a single MCP tool.
-    ProjectsAgentTool mcpTool = ProjectsAgentTool.AsProjectTool(ResponseTool.CreateMcpTool(
-        serverLabel: "api-specs",
-        serverUri: new Uri("https://gitmcp.io/Azure/azure-rest-api-specs"),
-        toolCallApprovalPolicy: new McpToolCallApprovalPolicy(GlobalMcpToolCallApprovalPolicy.NeverRequireApproval)));
-
-    ToolboxVersion created = (await toolboxClient.CreateToolboxVersionAsync(
-        name: name,
-        tools: [mcpTool],
-        description: "Sample toolbox with an MCP tool — created by Agent_Step25 sample.")).Value;
-
-    Console.WriteLine($"Created toolbox '{created.Name}' v{created.Version} ({created.Tools.Count} tool(s))");
-    return $"{endpoint}/toolboxes/{created.Name}/mcp?api-version=v{created.Version}";
-}
-
-// ---------------------------------------------------------------------------
-// Pipeline policy: adds the Foundry-Features header for toolbox CRUD calls
-// ---------------------------------------------------------------------------
-internal sealed class FoundryFeaturesPolicy(string feature) : PipelinePolicy
-{
-    private const string FeatureHeader = "Foundry-Features";
-
-    public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
-    {
-        message.Request.Headers.Add(FeatureHeader, feature);
-        ProcessNext(message, pipeline, currentIndex);
-    }
-
-    public override ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
-    {
-        message.Request.Headers.Add(FeatureHeader, feature);
-        return ProcessNextAsync(message, pipeline, currentIndex);
-    }
-}
-
-// ---------------------------------------------------------------------------
-// DelegatingHandler: attaches a fresh Azure AI bearer token to every request
-// ---------------------------------------------------------------------------
-internal sealed class BearerTokenHandler(TokenCredential credential, string scope) : DelegatingHandler
-{
-    private readonly TokenRequestContext _tokenContext = new([scope]);
-
-    protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
-    {
-        AccessToken token = await credential.GetTokenAsync(this._tokenContext, cancellationToken).ConfigureAwait(false);
-        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token.Token);
-        return await base.SendAsync(request, cancellationToken).ConfigureAwait(false);
-    }
-}
@@ -1,32 +0,0 @@
-# Foundry Toolbox via MCP
-
-This sample shows how to use a Foundry Toolbox by pointing an `McpClient` at the toolbox's MCP endpoint. The agent discovers the toolbox's tools at runtime and invokes them locally over MCP.
-
-## What this sample demonstrates
-
- Connecting to a Foundry toolbox's MCP endpoint via Streamable HTTP transport
- Injecting a fresh Azure AI bearer token (`https://ai.azure.com/.default`) on every MCP request
- Passing the discovered MCP tools to `AIProjectClient.AsAIAgent(...)`
- Optional helper to create (or replace) a sample toolbox in the project so the sample is runnable end-to-end
-
-## Prerequisites
-
- A Microsoft Foundry project with a toolbox configured (or let the sample create one for you)
- Azure CLI installed and authenticated (`az login`)
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
-```
-
-The sample creates a toolbox named `research_toolbox` in your Foundry project on
-startup, then connects to its MCP endpoint at
-`{AZURE_AI_PROJECT_ENDPOINT}/toolboxes/research_toolbox/mcp?api-version=v{version}`.
-
-## Run the sample
-
-```powershell
-dotnet run
-```
@@ -6,11 +6,12 @@

    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
+    
  </PropertyGroup>

  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
+    <PackageReference Include="Azure.AI.Projects" VersionOverride="2.1.0-beta.1" />
  </ItemGroup>

 </Project>
@@ -0,0 +1,148 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to load a Foundry toolbox and pass its tools as server-side
+// tools when creating an agent. The Foundry platform handles tool execution — the agent
+// process does not invoke tools locally.
+
+using System.ClientModel;
+using System.ClientModel.Primitives;
+using Azure.AI.Projects;
+using Azure.AI.Projects.Agents;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using OpenAI.Responses;
+
+#pragma warning disable OPENAI001 // Experimental API
+#pragma warning disable AAIP001  // AgentToolboxes is experimental
+#pragma warning disable CS8321   // Local functions may be commented-out alternatives
+
+// Replace with your own Foundry toolbox name.
+const string ToolboxName = "research_toolbox";
+// Used only by CombineToolboxes — swap in a second toolbox you own.
+const string SecondToolboxName = "analysis_toolbox";
+// Replace with any question that exercises the tools configured in your toolbox.
+const string Query = "Introduce yourself and briefly describe the tools you can use to help me.";
+
+string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT")
+    ?? throw new InvalidOperationException("Set FOUNDRY_PROJECT_ENDPOINT to your Foundry project endpoint.");
+string model = 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
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+var projectClient = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential());
+
+await Main(projectClient, model, endpoint);
+// await CombineToolboxes(projectClient, model, endpoint);
+
+// ---------------------------------------------------------------------------
+// Main: single toolbox
+// ---------------------------------------------------------------------------
+static async Task Main(AIProjectClient projectClient, string model, string endpoint)
+{
+    Console.WriteLine("=== Foundry Toolbox Server-Side Tools Example ===");
+
+    // Comment out if the toolbox already exists in your Foundry project.
+    await CreateSampleToolboxAsync(ToolboxName, endpoint);
+
+    // Omit the version to resolve the toolbox's current default version at runtime.
+    var tools = await projectClient.GetToolboxToolsAsync(ToolboxName);
+
+    AIAgent agent = projectClient
+        .AsAIAgent(
+            model: model,
+            instructions: "You are a research assistant. Use the available tools to answer questions.",
+            tools: tools.ToList());
+
+    Console.WriteLine($"User: {Query}");
+    Console.WriteLine($"Result: {await agent.RunAsync(Query)}\n");
+}
+
+// ---------------------------------------------------------------------------
+// Alternative: combine tools from multiple toolboxes
+// ---------------------------------------------------------------------------
+static async Task CombineToolboxes(AIProjectClient projectClient, string model, string endpoint)
+{
+    Console.WriteLine("=== Combine Toolboxes Example ===");
+
+    // Comment out if the toolboxes already exist in your Foundry project.
+    await CreateSampleToolboxAsync(ToolboxName, endpoint);
+    await CreateSampleToolboxAsync(SecondToolboxName, endpoint);
+
+    var toolboxA = await projectClient.GetToolboxToolsAsync(ToolboxName);
+    var toolboxB = await projectClient.GetToolboxToolsAsync(SecondToolboxName);
+
+    var allTools = toolboxA.Concat(toolboxB).ToList();
+
+    AIAgent agent = projectClient
+        .AsAIAgent(
+            model: model,
+            instructions: "You are a research assistant. Use all available tools to answer questions.",
+            tools: allTools);
+
+    Console.WriteLine($"User: {Query}");
+    Console.WriteLine($"Combined-toolbox result: {await agent.RunAsync(Query)}\n");
+}
+
+// ---------------------------------------------------------------------------
+// Helper: create (or replace) a sample toolbox so the sample works out-of-the-box
+// ---------------------------------------------------------------------------
+static async Task CreateSampleToolboxAsync(string name, string endpoint)
+{
+    // Toolboxes are normally configured in the Foundry portal or a deployment
+    // script, not the application itself. This helper exists so the sample can
+    // be run end-to-end without first setting a toolbox up by hand.
+
+    // The Foundry-Features header is currently required for toolbox CRUD operations.
+    var options = new AgentAdministrationClientOptions();
+    options.AddPolicy(new FoundryFeaturesPolicy("Toolboxes=V1Preview"), PipelinePosition.PerCall);
+    var adminClient = new AgentAdministrationClient(
+        new Uri(endpoint),
+        new DefaultAzureCredential(),
+        options);
+    var toolboxClient = adminClient.GetAgentToolboxes();
+
+    // Delete existing toolbox if present (ignore 404).
+    try
+    {
+        await toolboxClient.DeleteToolboxAsync(name);
+        Console.WriteLine($"Deleted existing toolbox '{name}'");
+    }
+    catch (ClientResultException ex) when (ex.Status == 404)
+    {
+        // Toolbox does not exist — nothing to delete.
+    }
+
+    // Create a fresh version with a single MCP tool.
+    ProjectsAgentTool mcpTool = ProjectsAgentTool.AsProjectTool(ResponseTool.CreateMcpTool(
+        serverLabel: "api-specs",
+        serverUri: new Uri("https://gitmcp.io/Azure/azure-rest-api-specs"),
+        toolCallApprovalPolicy: new McpToolCallApprovalPolicy(GlobalMcpToolCallApprovalPolicy.NeverRequireApproval)));
+
+    var created = (await toolboxClient.CreateToolboxVersionAsync(
+        name: name,
+        tools: [mcpTool],
+        description: "Sample toolbox with an MCP tool — created by Agent_Step25 sample.")).Value;
+
+    Console.WriteLine($"Created toolbox '{created.Name}' v{created.Version} ({created.Tools.Count} tool(s))");
+}
+
+// ---------------------------------------------------------------------------
+// Pipeline policy that adds the Foundry-Features header for toolbox CRUD
+// ---------------------------------------------------------------------------
+internal sealed class FoundryFeaturesPolicy(string feature) : PipelinePolicy
+{
+    private const string FeatureHeader = "Foundry-Features";
+
+    public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
+    {
+        message.Request.Headers.Add(FeatureHeader, feature);
+        ProcessNext(message, pipeline, currentIndex);
+    }
+
+    public override ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
+    {
+        message.Request.Headers.Add(FeatureHeader, feature);
+        return ProcessNextAsync(message, pipeline, currentIndex);
+    }
+}
@@ -0,0 +1,46 @@
+# Agent_Step25_ToolboxServerSideTools
+
+This sample demonstrates loading a named Foundry toolbox and passing its tools as
+**server-side tools** when creating an agent via `AsAIAgent()`.
+
+When tools from a toolbox are passed this way, they are sent as tool definitions in
+the Responses API request. The Foundry platform handles tool execution — the agent
+process does not invoke tools locally.
+
+This is the dotnet equivalent of the Python sample:
+`python/samples/02-agents/providers/foundry/foundry_chat_client_with_toolbox.py`
+
+## Prerequisites
+
+- A Microsoft Foundry project
+- `AZURE_AI_PROJECT_ENDPOINT` environment variable set to your Foundry project endpoint
+- `AZURE_AI_MODEL_DEPLOYMENT_NAME` environment variable set (defaults to `gpt-5.4-mini`)
+
+The sample recreates the toolbox on each run, replacing any existing toolbox with
+the same name. Comment out the `CreateSampleToolboxAsync` call if you want to keep
+an existing toolbox unchanged.
+
+## How it works
+
+1. `projectClient.GetToolboxVersionAsync(name)` fetches the toolbox definition from the
+   Foundry project API (resolving the default version if none is specified)
+2. `ToolboxVersion.ToAITools()` converts each tool definition to an `AITool` instance
+3. The tools are passed to `AsAIAgent(tools: ...)` which includes them in the Responses
+   API request as server-side tool definitions
+
+For a one-liner, use `projectClient.GetToolboxToolsAsync(name)` to fetch and convert in one call.
+
+## Sample flows
+
+| Flow | Description |
+|------|-------------|
+| `Main` (default) | Loads a single toolbox and runs an agent with its tools |
+| `CombineToolboxes` | Loads two toolboxes and merges their tools into one agent |
+
+Uncomment the desired flow in the top-level statements to try each one.
+
+## Running the sample
+
+```bash
+dotnet run
+```
@@ -73,7 +73,6 @@ Some samples require extra tool-specific environment variables. See each sample
 | [Memory search](./Agent_Step22_MemorySearch/) | Memory search tool |
 | [Local MCP](./Agent_Step23_LocalMCP/) | Local MCP client with HTTP transport |
 | [Code interpreter file download](./Agent_Step24_CodeInterpreterFileDownload/) | Download container files generated by code interpreter |
-| [Foundry toolbox via MCP](./Agent_Step25_FoundryToolboxMcp/) | Use a Foundry Toolbox from a non-hosted agent via its MCP endpoint |

 ## Running the samples

@@ -1,90 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace Harness.ConsoleReactiveComponents;
-
-/// <summary>
-/// Provides descriptive helpers for common ANSI/VT100 escape sequences used
-/// in the split-console layout (DECSTBM scroll regions, cursor movement, line erasure).
-/// </summary>
-public static class AnsiEscapes
-{
-    /// <summary>
-    /// Sets the scrollable region to rows 1 through <paramref name="bottom"/> (DECSTBM).
-    /// Content outside this region will not scroll.
-    /// </summary>
-    public static string SetScrollRegion(int bottom) => $"\x1b[1;{bottom}r";
-
-    /// <summary>
-    /// Resets the scroll region to the full terminal height (DECSTBM reset).
-    /// </summary>
-    public static string ResetScrollRegion => "\x1b[r";
-
-    /// <summary>
-    /// Moves the cursor to the specified 1-based <paramref name="row"/> and <paramref name="column"/> (CUP).
-    /// </summary>
-    public static string MoveCursor(int row, int column) => $"\x1b[{row};{column}H";
-
-    /// <summary>
-    /// Erases the entire current line (EL 2).
-    /// </summary>
-    public static string EraseEntireLine => "\x1b[2K";
-
-    /// <summary>
-    /// Erases the entire screen.
-    /// </summary>
-    public static string EraseEntireScreen => "\x1b[2J";
-
-    /// <summary>
-    /// Erases the scrollback buffer (ESC[3J). Use alongside <see cref="EraseEntireScreen"/>
-    /// to fully clear both the visible screen and the scroll history.
-    /// </summary>
-    public static string EraseScrollbackBuffer => "\x1b[3J";
-
-    /// <summary>
-    /// Saves the current cursor position (DECSC / SCP).
-    /// Note: most terminals have a single save slot — nested saves are not supported.
-    /// </summary>
-    public static string SaveCursor => "\x1b[s";
-
-    /// <summary>
-    /// Restores the previously saved cursor position (DECRC / RCP).
-    /// </summary>
-    public static string RestoreCursor => "\x1b[u";
-
-    /// <summary>
-    /// Moves the cursor to the specified 1-based <paramref name="row"/> at column 1, then erases the entire line.
-    /// Convenience combination of <see cref="MoveCursor"/> and <see cref="EraseEntireLine"/>.
-    /// </summary>
-    public static string MoveAndEraseLine(int row) => $"\x1b[{row};1H\x1b[2K";
-
-    /// <summary>
-    /// Sets the foreground text color using a <see cref="ConsoleColor"/> value.
-    /// </summary>
-    public static string SetForegroundColor(ConsoleColor color) => $"\x1b[{ConsoleColorToAnsi(color)}m";
-
-    /// <summary>
-    /// Resets all text attributes (color, bold, etc.) to their defaults.
-    /// </summary>
-    public static string ResetAttributes => "\x1b[0m";
-
-    private static int ConsoleColorToAnsi(ConsoleColor color) => color switch
-    {
-        ConsoleColor.Black => 30,
-        ConsoleColor.DarkRed => 31,
-        ConsoleColor.DarkGreen => 32,
-        ConsoleColor.DarkYellow => 33,
-        ConsoleColor.DarkBlue => 34,
-        ConsoleColor.DarkMagenta => 35,
-        ConsoleColor.DarkCyan => 36,
-        ConsoleColor.Gray => 37,
-        ConsoleColor.DarkGray => 90,
-        ConsoleColor.Red => 91,
-        ConsoleColor.Green => 92,
-        ConsoleColor.Yellow => 93,
-        ConsoleColor.Blue => 94,
-        ConsoleColor.Magenta => 95,
-        ConsoleColor.Cyan => 96,
-        ConsoleColor.White => 97,
-        _ => 37
-    };
-}
@@ -1,14 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="../ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
-  </ItemGroup>
-
-</Project>
@@ -1,151 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.ConsoleReactiveComponents;
-
-/// <summary>
-/// A component that renders a selectable list of items with a cursor indicator.
-/// The selected item is indicated with a "&gt;" prefix and rendered in the highlight color.
-/// Optionally includes a title above the list and a custom text input option at the bottom.
-/// </summary>
-public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, ConsoleReactiveState>
-{
-    /// <summary>
-    /// Calculates the height (in rows) required to render the list,
-    /// including the optional title and custom text input row.
-    /// </summary>
-    /// <param name="props">The list selection props.</param>
-    /// <returns>The number of rows needed.</returns>
-    public static int CalculateHeight(ListSelectionProps props)
-    {
-        int height = props.Items.Count;
-        if (props.CustomTextPlaceholder != null)
-        {
-            height++;
-        }
-
-        height += GetTitleLineCount(props.Title);
-        return height;
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(ListSelectionProps props, ConsoleReactiveState state)
-    {
-        int row = 0;
-
-        // Render the title lines (if any)
-        if (props.Title is not null)
-        {
-            foreach (string line in props.Title.Split('\n'))
-            {
-                Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
-                Console.Write(AnsiEscapes.EraseEntireLine);
-                Console.Write(line);
-                row++;
-            }
-        }
-
-        // Render the list items + optional custom text row
-        int totalItems = props.Items.Count + (props.CustomTextPlaceholder != null ? 1 : 0);
-
-        for (int i = 0; i < totalItems; i++)
-        {
-            Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
-            Console.Write(AnsiEscapes.EraseEntireLine);
-
-            bool isSelected = i == props.SelectedIndex;
-            bool isCustomTextOption = props.CustomTextPlaceholder != null && i == props.Items.Count;
-
-            // Cursor indicator
-            Console.Write(isSelected ? "> " : "  ");
-
-            if (isCustomTextOption)
-            {
-                this.RenderCustomTextOption(props, isSelected);
-            }
-            else
-            {
-                if (isSelected)
-                {
-                    Console.Write(AnsiEscapes.SetForegroundColor(props.HighlightColor));
-                }
-
-                Console.Write(props.Items[i]);
-
-                if (isSelected)
-                {
-                    Console.Write(AnsiEscapes.ResetAttributes);
-                }
-            }
-
-            Console.WriteLine();
-            row++;
-        }
-    }
-
-    /// <summary>
-    /// Gets the number of lines the title occupies, or 0 if no title is set.
-    /// </summary>
-    private static int GetTitleLineCount(string? title) =>
-        title is null ? 0 : title.Split('\n').Length;
-
-    private void RenderCustomTextOption(ListSelectionProps props, bool isSelected)
-    {
-        if (props.CustomText.Length > 0)
-        {
-            // User has typed text — render in highlight color if selected
-            if (isSelected)
-            {
-                Console.Write(AnsiEscapes.SetForegroundColor(props.HighlightColor));
-            }
-
-            Console.Write(props.CustomText);
-
-            if (isSelected)
-            {
-                Console.Write(AnsiEscapes.ResetAttributes);
-            }
-        }
-        else if (!string.IsNullOrWhiteSpace(props.CustomTextPlaceholder))
-        {
-            // No text — show placeholder in dark grey (or highlight color if selected)
-            if (isSelected)
-            {
-                Console.Write(AnsiEscapes.SetForegroundColor(props.HighlightColor));
-            }
-            else
-            {
-                Console.Write(AnsiEscapes.SetForegroundColor(ConsoleColor.DarkGray));
-            }
-
-            Console.Write(" ");
-            Console.Write(props.CustomTextPlaceholder);
-            Console.Write(AnsiEscapes.ResetAttributes);
-        }
-    }
-}
-
-/// <summary>
-/// Props for <see cref="ListSelection"/>.
-/// </summary>
-public record ListSelectionProps : ConsoleReactiveProps
-{
-    /// <summary>Gets the title text displayed above the list items. May contain newlines for multi-line titles.</summary>
-    public string? Title { get; init; }
-
-    /// <summary>Gets the items to display in the list.</summary>
-    public IReadOnlyList<string> Items { get; init; } = Array.Empty<string>();
-
-    /// <summary>Gets the zero-based index of the currently selected item.</summary>
-    public int SelectedIndex { get; init; }
-
-    /// <summary>Gets the highlight color for the active item. Defaults to <see cref="ConsoleColor.Cyan"/>.</summary>
-    public ConsoleColor HighlightColor { get; init; } = ConsoleColor.Cyan;
-
-    /// <summary>Gets the placeholder text for the custom text input option. If <c>null</c>, no custom option is shown.</summary>
-    public string? CustomTextPlaceholder { get; init; }
-
-    /// <summary>Gets the text being typed into the custom text input option.</summary>
-    public string CustomText { get; init; } = "";
-}
@@ -1,101 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.ConsoleReactiveComponents;
-
-/// <summary>
-/// Props for <see cref="TextInput"/>.
-/// </summary>
-public record TextInputProps : ConsoleReactiveProps
-{
-    /// <summary>Gets the prompt string displayed on the left (e.g. "&gt; " or "user &gt; ").</summary>
-    public string Prompt { get; init; } = "> ";
-
-    /// <summary>Gets the text content to render to the right of the prompt.</summary>
-    public string Text { get; init; } = "";
-
-    /// <summary>Gets the placeholder text shown in dark grey when <see cref="Text"/> is empty.</summary>
-    public string Placeholder { get; init; } = "";
-}
-
-/// <summary>
-/// A component that renders a prompt with text input. Supports multi-line text
-/// where continuation lines are indented to align with the text start position
-/// (i.e. the column after the prompt).
-/// </summary>
-public class TextInput : ConsoleReactiveComponent<TextInputProps, ConsoleReactiveState>
-{
-    /// <summary>
-    /// Calculates the height (in rows) required to render the prompt and text
-    /// given the available width.
-    /// </summary>
-    /// <param name="props">The text input props.</param>
-    /// <param name="availableWidth">The total available width in columns.</param>
-    /// <returns>The number of rows needed.</returns>
-    public static int CalculateHeight(TextInputProps props, int availableWidth)
-    {
-        int promptLength = props.Prompt.Length;
-        int textWidth = availableWidth - promptLength;
-
-        if (textWidth <= 0 || props.Text.Length == 0)
-        {
-            return 1;
-        }
-
-        int lines = 1;
-        int remaining = props.Text.Length - textWidth;
-        while (remaining > 0)
-        {
-            lines++;
-            remaining -= textWidth;
-        }
-
-        return lines;
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(TextInputProps props, ConsoleReactiveState state)
-    {
-        int promptLength = props.Prompt.Length;
-        int textWidth = this.Width - promptLength;
-        string indent = new(' ', promptLength);
-
-        // First line: prompt + start of text
-        Console.Write(AnsiEscapes.MoveCursor(this.Y, this.X));
-        Console.Write(AnsiEscapes.EraseEntireLine);
-        Console.Write(props.Prompt);
-
-        if (textWidth <= 0 || props.Text.Length == 0)
-        {
-            // Show placeholder if text is empty
-            if (props.Text.Length == 0 && props.Placeholder.Length > 0 && textWidth > 0)
-            {
-                Console.Write(AnsiEscapes.SetForegroundColor(ConsoleColor.DarkGray));
-                Console.Write(" ");
-                Console.Write(props.Placeholder[..Math.Min(props.Placeholder.Length, textWidth - 1)]);
-                Console.Write(AnsiEscapes.ResetAttributes);
-            }
-
-            return;
-        }
-
-        int offset = 0;
-        int firstChunk = Math.Min(textWidth, props.Text.Length);
-        Console.Write(props.Text[offset..firstChunk]);
-        offset = firstChunk;
-
-        // Continuation lines: indented to align with text start
-        int row = 1;
-        while (offset < props.Text.Length)
-        {
-            int chunk = Math.Min(textWidth, props.Text.Length - offset);
-            Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
-            Console.Write(AnsiEscapes.EraseEntireLine);
-            Console.Write(indent);
-            Console.Write(props.Text[offset..(offset + chunk)]);
-            offset += chunk;
-            row++;
-        }
-    }
-}
@@ -1,94 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.ConsoleReactiveComponents;
-
-/// <summary>
-/// Props for <see cref="TextPanel"/>.
-/// </summary>
-public record TextPanelProps : ConsoleReactiveProps
-{
-    /// <summary>Gets the items to render in the panel. Each item is a pre-rendered
-    /// console string (may include ANSI escape sequences and newlines).</summary>
-    public IReadOnlyList<string> Items { get; init; } = [];
-}
-
-/// <summary>
-/// A component that renders a list of pre-rendered string items vertically.
-/// Designed for rendering dynamic items in a non-scroll region that may be
-/// re-rendered on each update. If the component's <see cref="ConsoleReactiveComponent.Height"/>
-/// exceeds the number of output lines, leftover lines are erased.
-/// </summary>
-public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiveState>
-{
-    /// <summary>
-    /// Calculates the height (in lines) needed to render all items.
-    /// </summary>
-    /// <param name="items">The items to measure.</param>
-    /// <returns>The total number of lines all items will occupy.</returns>
-    public static int CalculateHeight(IReadOnlyList<string> items)
-    {
-        int total = 0;
-        for (int i = 0; i < items.Count; i++)
-        {
-            total += CountLines(items[i]);
-        }
-
-        return total;
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(TextPanelProps props, ConsoleReactiveState state)
-    {
-        int currentRow = 0;
-
-        for (int i = 0; i < props.Items.Count; i++)
-        {
-            string text = props.Items[i];
-            string[] lines = text.Split('\n');
-            int lineCount = CountLines(text);
-
-            for (int j = 0; j < lineCount; j++)
-            {
-                Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y + currentRow));
-                Console.Write(lines[j]);
-                currentRow++;
-            }
-        }
-
-        // If the component height exceeds the output, erase leftover lines
-        if (this.Height > currentRow)
-        {
-            for (int i = currentRow; i < this.Height; i++)
-            {
-                Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y + i));
-            }
-        }
-    }
-
-    private static int CountLines(string text)
-    {
-        if (string.IsNullOrEmpty(text))
-        {
-            return 0;
-        }
-
-        int count = 1;
-        for (int i = 0; i < text.Length; i++)
-        {
-            if (text[i] == '\n')
-            {
-                count++;
-            }
-        }
-
-        // If text ends with a newline, don't count the trailing empty line
-        if (text[text.Length - 1] == '\n')
-        {
-            count--;
-        }
-
-        return count;
-    }
-}
@@ -1,66 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.ConsoleReactiveComponents;
-
-/// <summary>
-/// Props for <see cref="TextScrollPanel"/>.
-/// </summary>
-public record TextScrollPanelProps : ConsoleReactiveProps
-{
-    /// <summary>Gets the items to render in the scroll panel. Each item is a pre-rendered
-    /// console string (may include ANSI escape sequences and newlines).</summary>
-    public IReadOnlyList<string> Items { get; init; } = [];
-}
-
-/// <summary>
-/// State for <see cref="TextScrollPanel"/>.
-/// </summary>
-/// <param name="RenderedCount">The number of items already rendered.</param>
-public record TextScrollPanelState(int RenderedCount = 0) : ConsoleReactiveState;
-
-/// <summary>
-/// A component that renders pre-rendered string items within a scroll area.
-/// All items are considered finalized — only new items since the last render are output.
-/// Use <see cref="Reset"/> to force a full re-render.
-/// </summary>
-public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, TextScrollPanelState>
-{
-    /// <summary>
-    /// Initializes a new instance of the <see cref="TextScrollPanel"/> class.
-    /// </summary>
-    public TextScrollPanel()
-    {
-        this.State = new TextScrollPanelState();
-    }
-
-    /// <summary>
-    /// Resets the panel so all items will be re-rendered on the next Render call.
-    /// </summary>
-    public void Reset()
-    {
-        this.State = new TextScrollPanelState();
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(TextScrollPanelProps props, TextScrollPanelState state)
-    {
-        if (props.Items.Count == 0)
-        {
-            return;
-        }
-
-        // Move cursor to the bottom of the scroll area
-        Console.Write(AnsiEscapes.MoveCursor(this.Y + this.Height - 1, this.X));
-
-        // Output only new items since last rendered
-        for (int i = state.RenderedCount; i < props.Items.Count; i++)
-        {
-            Console.Write(props.Items[i]);
-        }
-
-        // Update state to track what we've rendered
-        this.State = new TextScrollPanelState(props.Items.Count);
-    }
-}
@@ -1,87 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.ConsoleReactiveComponents;
-
-/// <summary>
-/// Props for <see cref="TopBottomRule"/>.
-/// </summary>
-public record TopBottomRuleProps : ConsoleReactiveProps
-{
-    /// <summary>Gets the width of the horizontal rules in characters.</summary>
-    public int Width { get; init; }
-
-    /// <summary>Gets the foreground color of the horizontal rules. If <c>null</c>, the default terminal color is used.</summary>
-    public ConsoleColor? Color { get; init; }
-}
-
-/// <summary>
-/// A component that renders a top and bottom horizontal rule (─) with children
-/// stacked vertically between them.
-/// </summary>
-public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, ConsoleReactiveState>
-{
-    /// <summary>
-    /// Calculates the total height including the top rule, children, and bottom rule.
-    /// </summary>
-    /// <param name="props">The component props containing children.</param>
-    /// <returns>2 (for the rules) plus the sum of all children heights.</returns>
-    public static int CalculateHeight(TopBottomRuleProps props)
-    {
-        int childrenHeight = 0;
-        foreach (var child in props.Children)
-        {
-            childrenHeight += child.Height;
-        }
-
-        // Top rule + children + bottom rule
-        return 2 + childrenHeight;
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(TopBottomRuleProps props, ConsoleReactiveState state)
-    {
-        int ruleWidth = props.Width;
-        string rule = new('─', ruleWidth);
-
-        if (props.Color.HasValue)
-        {
-            Console.Write(AnsiEscapes.SetForegroundColor(props.Color.Value));
-        }
-
-        // Top rule
-        Console.Write(AnsiEscapes.MoveCursor(this.Y, this.X));
-        Console.Write(rule);
-
-        // Render children stacked below the top rule
-        int currentY = this.Y + 1;
-
-        if (props.Color.HasValue)
-        {
-            Console.Write(AnsiEscapes.ResetAttributes);
-        }
-
-        foreach (var child in props.Children)
-        {
-            child.X = this.X;
-            child.Y = currentY;
-            child.Render();
-            currentY += child.Height;
-        }
-
-        if (props.Color.HasValue)
-        {
-            Console.Write(AnsiEscapes.SetForegroundColor(props.Color.Value));
-        }
-
-        // Bottom rule
-        Console.Write(AnsiEscapes.MoveCursor(currentY, this.X));
-        Console.Write(rule);
-
-        if (props.Color.HasValue)
-        {
-            Console.Write(AnsiEscapes.ResetAttributes);
-        }
-    }
-}
@@ -1,110 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace Harness.ConsoleReactiveFramework;
-
-/// <summary>
-/// Abstract base class for all console UI components. Provides layout properties
-/// (position and size) and a <see cref="Render"/> method for drawing to the console.
-/// Derive from <see cref="ConsoleReactiveComponent{TProps, TState}"/> instead of this class directly.
-/// </summary>
-public abstract class ConsoleReactiveComponent
-{
-    internal ConsoleReactiveComponent()
-    {
-    }
-
-    /// <summary>Gets or sets the 1-based column position of the component.</summary>
-    public int X { get; set; }
-
-    /// <summary>Gets or sets the 1-based row position of the component.</summary>
-    public int Y { get; set; }
-
-    /// <summary>Gets or sets the width of the component in columns.</summary>
-    public int Width { get; set; }
-
-    /// <summary>Gets or sets the height of the component in rows.</summary>
-    public int Height { get; set; }
-
-    /// <summary>Renders the component to the console at its current position.</summary>
-    public abstract void Render();
-}
-
-/// <summary>
-/// Generic base class for console UI components with typed props and state.
-/// Props represent externally supplied configuration; state represents internal mutable data.
-/// </summary>
-/// <typeparam name="TProps">The type of the component's props (external configuration).</typeparam>
-/// <typeparam name="TState">The type of the component's internal state.</typeparam>
-public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactiveComponent
-    where TProps : ConsoleReactiveProps
-    where TState : ConsoleReactiveState
-{
-    private readonly object _renderLock = new();
-    private TProps? _lastRenderedProps;
-    private TState? _lastRenderedState;
-
-    /// <summary>Gets or sets the component's props (external configuration).</summary>
-    public TProps? Props { get; set; }
-
-    /// <summary>Gets or sets the component's internal state.</summary>
-    protected TState? State { get; set; }
-
-    /// <summary>
-    /// Updates the component's state and triggers a re-render.
-    /// </summary>
-    /// <param name="newState">The new state value.</param>
-    public void SetState(TState newState)
-    {
-        this.State = newState;
-        this.Render();
-    }
-
-    /// <summary>
-    /// Renders the component using the current props and state.
-    /// Uses a lock to prevent concurrent renders from multiple sources.
-    /// Skips rendering if neither props nor state have changed since the last render.
-    /// </summary>
-    public override void Render()
-    {
-        lock (this._renderLock)
-        {
-            if (this.Props is null)
-            {
-                return;
-            }
-
-            if (ReferenceEquals(this.Props, this._lastRenderedProps)
-                && ReferenceEquals(this.State, this._lastRenderedState))
-            {
-                return;
-            }
-
-            this.RenderCore(this.Props, this.State!);
-
-            this._lastRenderedProps = this.Props;
-            this._lastRenderedState = this.State;
-        }
-    }
-
-    /// <summary>
-    /// Called by <see cref="Render"/> to perform the actual rendering. Override this in derived classes.
-    /// </summary>
-    /// <param name="props">The current props.</param>
-    /// <param name="state">The current state.</param>
-    public abstract void RenderCore(TProps props, TState state);
-}
-
-/// <summary>
-/// Base record for component props. Provides an optional <see cref="Children"/> collection
-/// for composing child components.
-/// </summary>
-public record ConsoleReactiveProps
-{
-    /// <summary>Gets the child components to render within this component.</summary>
-    public IReadOnlyList<ConsoleReactiveComponent> Children { get; init; } = [];
-}
-
-/// <summary>
-/// Base record for component state.
-/// </summary>
-public record ConsoleReactiveState;
@@ -1,10 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-</Project>
@@ -1,83 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace Harness.ConsoleReactiveFramework;
-
-/// <summary>
-/// Event args for console resize events, containing the old and new dimensions.
-/// </summary>
-public class ConsoleResizeEventArgs : EventArgs
-{
-    /// <summary>Gets the previous console width.</summary>
-    public int OldWidth { get; }
-
-    /// <summary>Gets the previous console height.</summary>
-    public int OldHeight { get; }
-
-    /// <summary>Gets the new console width.</summary>
-    public int NewWidth { get; }
-
-    /// <summary>Gets the new console height.</summary>
-    public int NewHeight { get; }
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="ConsoleResizeEventArgs"/> class.
-    /// </summary>
-    /// <param name="oldWidth">The previous width.</param>
-    /// <param name="oldHeight">The previous height.</param>
-    /// <param name="newWidth">The new width.</param>
-    /// <param name="newHeight">The new height.</param>
-    public ConsoleResizeEventArgs(int oldWidth, int oldHeight, int newWidth, int newHeight)
-    {
-        this.OldWidth = oldWidth;
-        this.OldHeight = oldHeight;
-        this.NewWidth = newWidth;
-        this.NewHeight = newHeight;
-    }
-}
-
-/// <summary>
-/// Singleton that polls console dimensions every 16ms and raises the
-/// <see cref="ConsoleResized"/> event when the window size changes.
-/// </summary>
-public sealed class ConsoleResizeListener
-{
-#pragma warning disable IDE0052 // Remove unread private members
-    private readonly Task _task;
-#pragma warning restore IDE0052 // Remove unread private members
-
-    private int _lastWidth;
-    private int _lastHeight;
-
-    private ConsoleResizeListener()
-    {
-        this._lastWidth = Console.WindowWidth;
-        this._lastHeight = Console.WindowHeight;
-        this._task = this.ListenForResizeAsync();
-    }
-
-    /// <summary>Gets the singleton instance of <see cref="ConsoleResizeListener"/>.</summary>
-    public static ConsoleResizeListener Instance { get; } = new ConsoleResizeListener();
-
-    /// <summary>Raised when the console window is resized.</summary>
-    public event EventHandler<ConsoleResizeEventArgs>? ConsoleResized;
-
-    private async Task ListenForResizeAsync()
-    {
-        while (true)
-        {
-            int currentWidth = Console.WindowWidth;
-            int currentHeight = Console.WindowHeight;
-
-            if (currentWidth != this._lastWidth || currentHeight != this._lastHeight)
-            {
-                int oldWidth = this._lastWidth;
-                int oldHeight = this._lastHeight;
-                this._lastWidth = currentWidth;
-                this._lastHeight = currentHeight;
-                this.ConsoleResized?.Invoke(this, new ConsoleResizeEventArgs(oldWidth, oldHeight, currentWidth, currentHeight));
-            }
-
-            await Task.Delay(16);
-        }
-    }
-}
@@ -1,57 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace Harness.ConsoleReactiveFramework;
-
-/// <summary>
-/// Event args for key press events, wrapping a <see cref="ConsoleKeyInfo"/>.
-/// </summary>
-public class KeyPressEventArgs : EventArgs
-{
-    /// <summary>Gets the key information for the pressed key.</summary>
-    public ConsoleKeyInfo KeyInfo { get; }
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="KeyPressEventArgs"/> class.
-    /// </summary>
-    /// <param name="keyInfo">The key information.</param>
-    public KeyPressEventArgs(ConsoleKeyInfo keyInfo)
-    {
-        this.KeyInfo = keyInfo;
-    }
-}
-
-/// <summary>
-/// Singleton that polls for console key presses every 16ms and raises the
-/// <see cref="KeyPressed"/> event when a key is detected.
-/// </summary>
-public sealed class KeyEventListener
-{
-#pragma warning disable IDE0052 // Remove unread private members
-    private readonly Task _task;
-#pragma warning restore IDE0052 // Remove unread private members
-
-    private KeyEventListener()
-    {
-        this._task = this.ListenForKeyPressesAsync();
-    }
-
-    /// <summary>Gets the singleton instance of <see cref="KeyEventListener"/>.</summary>
-    public static KeyEventListener Instance { get; } = new KeyEventListener();
-
-    /// <summary>Raised when a key is pressed in the console.</summary>
-    public event EventHandler<KeyPressEventArgs>? KeyPressed;
-
-    private async Task ListenForKeyPressesAsync()
-    {
-        while (true)
-        {
-            while (Console.KeyAvailable)
-            {
-                var keyInfo = Console.ReadKey(intercept: true);
-                this.KeyPressed?.Invoke(this, new KeyPressEventArgs(keyInfo));
-            }
-
-            await Task.Delay(16);
-        }
-    }
-}
@@ -1,26 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Agents.AI;
-
-namespace Harness.Shared.Console.Commands;
-
-/// <summary>
-/// Handles the <c>/exit</c> command to shut down the console application.
-/// </summary>
-public sealed class ExitCommandHandler : CommandHandler
-{
-    /// <inheritdoc/>
-    public override string? GetHelpText() => "/exit (quit)";
-
-    /// <inheritdoc/>
-    public override ValueTask<bool> TryHandleAsync(string input, AgentSession session, IUXStateDriver ux)
-    {
-        if (!input.Equals("/exit", StringComparison.OrdinalIgnoreCase))
-        {
-            return new ValueTask<bool>(false);
-        }
-
-        ux.RequestShutdown();
-        return new ValueTask<bool>(true);
-    }
-}
@@ -5,25 +5,24 @@ using Microsoft.Agents.AI;
 namespace Harness.Shared.Console.Commands;

 /// <summary>
-/// Base class for console command handlers (e.g., /todos, /mode). Command handlers
-/// are checked in order before user input is sent to the agent. The first handler
-/// that accepts the input prevents further handlers from being checked.
+/// Handles a console command (e.g., /todos, /mode). Command handlers are checked
+/// in order before user input is sent to the agent. The first handler that
+/// accepts the input prevents further handlers from being checked.
 /// </summary>
-public abstract class CommandHandler
+public interface ICommandHandler
 {
    /// <summary>
-    /// Gets the help text for this command, displayed in the mode-and-help bar.
+    /// Gets the help text for this command, displayed in the console header.
    /// Returns <see langword="null"/> if the command is not currently available.
    /// </summary>
    /// <returns>Help text like <c>"/todos (show todo list)"</c>, or <see langword="null"/>.</returns>
-    public abstract string? GetHelpText();
+    string? GetHelpText();

    /// <summary>
    /// Attempts to handle the given user input.
    /// </summary>
    /// <param name="input">The raw user input string.</param>
    /// <param name="session">The current agent session.</param>
-    /// <param name="ux">The UX state driver for rendering output.</param>
    /// <returns><see langword="true"/> if this handler handled the input; <see langword="false"/> otherwise.</returns>
-    public abstract ValueTask<bool> TryHandleAsync(string input, AgentSession session, IUXStateDriver ux);
+    bool TryHandle(string input, AgentSession session);
 }
@@ -7,7 +7,7 @@ namespace Harness.Shared.Console.Commands;
 /// <summary>
 /// Handles the <c>/mode</c> command to display or switch the current agent mode.
 /// </summary>
-public sealed class ModeCommandHandler : CommandHandler
+internal sealed class ModeCommandHandler : ICommandHandler
 {
    private readonly AgentModeProvider? _modeProvider;
    private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;
@@ -24,10 +24,10 @@ public sealed class ModeCommandHandler : CommandHandler
    }

    /// <inheritdoc/>
-    public override string? GetHelpText() => this._modeProvider is not null ? "/mode [plan|execute] (show or switch mode)" : null;
+    public string? GetHelpText() => this._modeProvider is not null ? "/mode [plan|execute] (show or switch mode)" : null;

    /// <inheritdoc/>
-    public override async ValueTask<bool> TryHandleAsync(string input, AgentSession session, IUXStateDriver ux)
+    public bool TryHandle(string input, AgentSession session)
    {
        if (!input.StartsWith("/mode ", StringComparison.OrdinalIgnoreCase) && !input.Equals("/mode", StringComparison.OrdinalIgnoreCase))
        {
@@ -36,7 +36,7 @@ public sealed class ModeCommandHandler : CommandHandler

        if (this._modeProvider is null)
        {
-            await ux.WriteInfoLineAsync("AgentModeProvider is not available.").ConfigureAwait(false);
+            System.Console.WriteLine("AgentModeProvider is not available.");
            return true;
        }

@@ -44,7 +44,7 @@ public sealed class ModeCommandHandler : CommandHandler
        if (parts.Length < 2)
        {
            string current = this._modeProvider.GetMode(session);
-            await ux.WriteInfoLineAsync($"Current mode: {current}").ConfigureAwait(false);
+            System.Console.WriteLine($"\n  Current mode: {current}\n");
            return true;
        }

@@ -53,12 +53,15 @@ public sealed class ModeCommandHandler : CommandHandler
        try
        {
            this._modeProvider.SetMode(session, newMode);
-            ux.CurrentMode = newMode;
-            await ux.WriteInfoLineAsync($"Switched to {newMode} mode.", ModeColors.Get(newMode, this._modeColors)).ConfigureAwait(false);
+            System.Console.ForegroundColor = ConsoleWriter.GetModeColor(newMode, this._modeColors);
+            System.Console.WriteLine($"\n  Switched to {newMode} mode.\n");
+            System.Console.ResetColor();
        }
        catch (ArgumentException ex)
        {
-            await ux.WriteInfoLineAsync(ex.Message, ConsoleColor.Red).ConfigureAwait(false);
+            System.Console.ForegroundColor = ConsoleColor.Red;
+            System.Console.WriteLine($"\n  {ex}\n");
+            System.Console.ResetColor();
        }

        return true;
@@ -7,7 +7,7 @@ namespace Harness.Shared.Console.Commands;
 /// <summary>
 /// Handles the <c>/todos</c> command to display the current todo list.
 /// </summary>
-public sealed class TodoCommandHandler : CommandHandler
+internal sealed class TodoCommandHandler : ICommandHandler
 {
    private readonly TodoProvider? _todoProvider;

@@ -21,10 +21,10 @@ public sealed class TodoCommandHandler : CommandHandler
    }

    /// <inheritdoc/>
-    public override string? GetHelpText() => this._todoProvider is not null ? "/todos (show todo list)" : null;
+    public string? GetHelpText() => this._todoProvider is not null ? "/todos (show todo list)" : null;

    /// <inheritdoc/>
-    public override async ValueTask<bool> TryHandleAsync(string input, AgentSession session, IUXStateDriver ux)
+    public bool TryHandle(string input, AgentSession session)
    {
        if (!input.Equals("/todos", StringComparison.OrdinalIgnoreCase))
        {
@@ -33,28 +33,34 @@ public sealed class TodoCommandHandler : CommandHandler

        if (this._todoProvider is null)
        {
-            await ux.WriteInfoLineAsync("TodoProvider is not available.").ConfigureAwait(false);
+            System.Console.WriteLine("TodoProvider is not available.");
            return true;
        }

-        var todos = await this._todoProvider.GetAllTodosAsync(session).ConfigureAwait(false);
+        var todos = this._todoProvider.GetAllTodos(session);
        if (todos.Count == 0)
        {
-            await ux.WriteInfoLineAsync("No todos yet.").ConfigureAwait(false);
+            System.Console.WriteLine("\n  No todos yet.\n");
            return true;
        }

-        await ux.WriteInfoLineAsync("── Todo List ──").ConfigureAwait(false);
+        System.Console.WriteLine();
+        System.Console.WriteLine("  ── Todo List ──");
        foreach (var item in todos)
        {
            string status = item.IsComplete ? "✓" : "○";
-            ConsoleColor color = item.IsComplete ? ConsoleColor.DarkGray : ConsoleColor.White;
-            string description = string.IsNullOrWhiteSpace(item.Description)
-                ? string.Empty
-                : $" — {item.Description}";
-            await ux.WriteInfoLineAsync($"[{status}] #{item.Id} {item.Title}{description}", color).ConfigureAwait(false);
+            System.Console.ForegroundColor = item.IsComplete ? ConsoleColor.DarkGray : ConsoleColor.White;
+            System.Console.Write($"  [{status}] #{item.Id} {item.Title}");
+            if (!string.IsNullOrWhiteSpace(item.Description))
+            {
+                System.Console.Write($" — {item.Description}");
+            }
+
+            System.Console.WriteLine();
        }

+        System.Console.ResetColor();
+        System.Console.WriteLine();
        return true;
    }
 }
@@ -1,71 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveComponents;
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.Shared.Console.Components;
-
-/// <summary>
-/// Props for <see cref="AgentModeAndHelp"/>.
-/// </summary>
-public record AgentModeAndHelpProps : ConsoleReactiveProps
-{
-    /// <summary>Gets or sets the current mode name (e.g. "plan", "execute"), or <see langword="null"/> if no mode is active.</summary>
-    public string? Mode { get; set; }
-
-    /// <summary>Gets or sets the foreground color for the mode label.</summary>
-    public ConsoleColor? ModeColor { get; set; }
-
-    /// <summary>Gets or sets the help text to display (e.g. available commands and exit info).</summary>
-    public string? HelpText { get; set; }
-}
-
-/// <summary>
-/// A component that renders a single fixed line below the bottom rule showing
-/// the current agent mode (in the mode colour) and available commands (in dark grey).
-/// </summary>
-public class AgentModeAndHelp : ConsoleReactiveComponent<AgentModeAndHelpProps, ConsoleReactiveState>
-{
-    /// <summary>
-    /// Calculates the height of the component.
-    /// </summary>
-    /// <param name="props">The component props.</param>
-    /// <returns>1 if there is content to display; otherwise 0.</returns>
-    public static int CalculateHeight(AgentModeAndHelpProps props) =>
-        (props.Mode is not null || !string.IsNullOrEmpty(props.HelpText)) ? 1 : 0;
-
-    /// <inheritdoc />
-    public override void RenderCore(AgentModeAndHelpProps props, ConsoleReactiveState state)
-    {
-        if (props.Mode is null && string.IsNullOrEmpty(props.HelpText))
-        {
-            return;
-        }
-
-        System.Console.Write(AnsiEscapes.SaveCursor);
-        System.Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y));
-
-        bool hasMode = props.Mode is not null;
-
-        if (hasMode)
-        {
-            if (props.ModeColor.HasValue)
-            {
-                System.Console.Write(AnsiEscapes.SetForegroundColor(props.ModeColor.Value));
-            }
-
-            System.Console.Write($" [{props.Mode}]");
-            System.Console.Write(AnsiEscapes.ResetAttributes);
-        }
-
-        if (!string.IsNullOrEmpty(props.HelpText))
-        {
-            string prefix = hasMode ? "  " : " ";
-            System.Console.Write(AnsiEscapes.SetForegroundColor(ConsoleColor.DarkGray));
-            System.Console.Write($"{prefix}{props.HelpText}");
-            System.Console.Write(AnsiEscapes.ResetAttributes);
-        }
-
-        System.Console.Write(AnsiEscapes.RestoreCursor);
-    }
-}
@@ -1,120 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveComponents;
-using Harness.ConsoleReactiveFramework;
-
-namespace Harness.Shared.Console.Components;
-
-/// <summary>
-/// Props for <see cref="AgentStatus"/>.
-/// </summary>
-public record AgentStatusProps : ConsoleReactiveProps
-{
-    /// <summary>Gets or sets a value indicating whether the spinner is visible.</summary>
-    public bool ShowSpinner { get; set; }
-
-    /// <summary>Gets or sets the formatted token usage text to display.</summary>
-    public string? UsageText { get; set; }
-}
-
-/// <summary>
-/// State for <see cref="AgentStatus"/>.
-/// </summary>
-/// <param name="SpinnerIndex">The current spinner animation frame index.</param>
-public record AgentStatusState(int SpinnerIndex = 0) : ConsoleReactiveState;
-
-/// <summary>
-/// A component that renders a single-line agent status bar with an animated spinner
-/// and token usage statistics. Positioned above the rule in the non-scrolling area.
-/// </summary>
-public class AgentStatus : ConsoleReactiveComponent<AgentStatusProps, AgentStatusState>, IDisposable
-{
-    private static readonly string[] s_spinnerFrames =
-    [
-        "⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏",
-    ];
-
-    private readonly Timer _timer;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="AgentStatus"/> class.
-    /// </summary>
-    public AgentStatus()
-    {
-        this.State = new AgentStatusState();
-        this._timer = new Timer(this.OnTimerTick, null, TimeSpan.Zero, TimeSpan.FromMilliseconds(100));
-    }
-
-    /// <summary>
-    /// Calculates the height of the agent status component.
-    /// </summary>
-    /// <param name="props">The component props.</param>
-    /// <returns>1 if the spinner or usage text is visible; otherwise 0.</returns>
-    public static int CalculateHeight(AgentStatusProps props)
-    {
-        return (props.ShowSpinner || !string.IsNullOrEmpty(props.UsageText)) ? 1 : 0;
-    }
-
-    /// <summary>
-    /// Disposes the internal spinner timer.
-    /// </summary>
-    public void Dispose()
-    {
-        this.Dispose(true);
-        GC.SuppressFinalize(this);
-    }
-
-    /// <summary>
-    /// Releases managed resources.
-    /// </summary>
-    /// <param name="disposing"><c>true</c> to release managed resources.</param>
-    protected virtual void Dispose(bool disposing)
-    {
-        if (disposing)
-        {
-            this._timer.Dispose();
-        }
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(AgentStatusProps props, AgentStatusState state)
-    {
-        if (!props.ShowSpinner && string.IsNullOrEmpty(props.UsageText))
-        {
-            return;
-        }
-
-        System.Console.Write(AnsiEscapes.SaveCursor);
-        System.Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y));
-
-        if (props.ShowSpinner)
-        {
-            string frame = s_spinnerFrames[state.SpinnerIndex];
-            System.Console.Write(AnsiEscapes.SetForegroundColor(ConsoleColor.Cyan));
-            System.Console.Write($" {frame} ");
-            System.Console.Write(AnsiEscapes.ResetAttributes);
-        }
-        else
-        {
-            System.Console.Write("   ");
-        }
-
-        if (!string.IsNullOrEmpty(props.UsageText))
-        {
-            System.Console.Write(AnsiEscapes.SetForegroundColor(ConsoleColor.DarkGray));
-            System.Console.Write(props.UsageText);
-            System.Console.Write(AnsiEscapes.ResetAttributes);
-        }
-
-        System.Console.Write(AnsiEscapes.RestoreCursor);
-    }
-
-    private void OnTimerTick(object? timerState)
-    {
-        if (this.Props is { ShowSpinner: true })
-        {
-            int nextIndex = ((this.State?.SpinnerIndex ?? 0) + 1) % s_spinnerFrames.Length;
-            this.SetState(new AgentStatusState(nextIndex));
-        }
-    }
-}
@@ -0,0 +1,278 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Spectre.Console;
+
+namespace Harness.Shared.Console;
+
+/// <summary>
+/// Centralizes all console output and spinner management for the harness console.
+/// Observers write through this class so the spinner is automatically paused before output.
+/// </summary>
+public sealed class ConsoleWriter : IDisposable
+{
+    private readonly Spinner _spinner = new();
+    private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;
+
+    private bool _lastWasText;
+    private bool _hasReceivedAnyText;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="ConsoleWriter"/> class.
+    /// </summary>
+    /// <param name="modeColors">Optional mapping of mode names to console colors.</param>
+    public ConsoleWriter(IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
+    {
+        this._modeColors = modeColors;
+    }
+
+    /// <summary>
+    /// Gets or sets the current agent mode (e.g., "plan", "execute").
+    /// Used to determine the console color for mode-prefixed output.
+    /// </summary>
+    public string? CurrentMode { get; set; }
+
+    /// <summary>
+    /// Writes the agent response header (e.g., "[plan] Agent: ") and starts the spinner.
+    /// </summary>
+    public void WriteResponseHeader()
+    {
+        if (this.CurrentMode is not null)
+        {
+            System.Console.ForegroundColor = GetModeColor(this.CurrentMode, this._modeColors);
+            System.Console.Write($"\n[{this.CurrentMode}] Agent: ");
+        }
+        else
+        {
+            System.Console.Write("\nAgent: ");
+        }
+
+        this._lastWasText = true;
+        this._hasReceivedAnyText = false;
+        this._spinner.Start();
+    }
+
+    /// <summary>
+    /// Writes informational output with automatic prefix spacing, without a trailing newline.
+    /// Use when continuation content will be appended on the same line.
+    /// </summary>
+    /// <param name="text">The informational text to write (without leading newline/indent — added automatically).</param>
+    /// <param name="color">Optional console color for the text.</param>
+    public async Task WriteInfoAsync(string text, ConsoleColor? color = null)
+    {
+        await this.WriteInfoCoreAsync(text, color, newLine: false);
+    }
+
+    /// <summary>
+    /// Writes informational output with automatic prefix spacing, followed by a newline.
+    /// </summary>
+    /// <param name="text">The informational text to write (without leading newline/indent — added automatically).</param>
+    /// <param name="color">Optional console color for the text.</param>
+    public async Task WriteInfoLineAsync(string text, ConsoleColor? color = null)
+    {
+        await this.WriteInfoCoreAsync(text, color, newLine: true);
+    }
+
+    private async Task WriteInfoCoreAsync(string text, ConsoleColor? color, bool newLine)
+    {
+        await this._spinner.StopAsync();
+
+        string prefix = this._lastWasText ? "\n\n  " : "  ";
+        this._lastWasText = false;
+
+        System.Console.ForegroundColor = color ?? GetModeColor(this.CurrentMode, this._modeColors);
+
+        if (newLine)
+        {
+            System.Console.WriteLine(prefix + text);
+        }
+        else
+        {
+            System.Console.Write(prefix + text);
+        }
+
+        System.Console.ForegroundColor = GetModeColor(this.CurrentMode, this._modeColors);
+
+        this._spinner.Start();
+    }
+
+    /// <summary>
+    /// Writes text output from the agent, managing line break state.
+    /// Ensures a newline is written before the first text output.
+    /// </summary>
+    /// <param name="text">The text to write.</param>
+    /// <param name="color">Optional console color override for this text.</param>
+    public async Task WriteTextAsync(string text, ConsoleColor? color = null)
+    {
+        await this._spinner.StopAsync();
+
+        if (!this._lastWasText)
+        {
+            System.Console.Write("\n");
+            this._lastWasText = true;
+        }
+
+        this._hasReceivedAnyText = true;
+
+        if (color.HasValue)
+        {
+            System.Console.ForegroundColor = color.Value;
+        }
+
+        System.Console.Write(text);
+
+        if (color.HasValue)
+        {
+            System.Console.ForegroundColor = GetModeColor(this.CurrentMode, this._modeColors);
+        }
+
+        this._spinner.Start();
+    }
+
+    /// <summary>
+    /// Reads a line of input from the console, pausing the spinner while waiting for input.
+    /// Optionally displays a prompt before reading. The prompt is rendered between
+    /// two horizontal rules for visual clarity.
+    /// </summary>
+    /// <param name="prompt">Optional prompt text to display before reading input.</param>
+    /// <param name="promptColor">Optional console color for the prompt text.</param>
+    /// <returns>The line read from the console, or <c>null</c> if no input is available.</returns>
+    public async Task<string?> ReadLineAsync(string? prompt = null, ConsoleColor? promptColor = null)
+    {
+        await this._spinner.StopAsync();
+
+        if (prompt is not null)
+        {
+            System.Console.WriteLine();
+            AnsiConsole.Write(this.CreateModeRule());
+
+            if (promptColor.HasValue)
+            {
+                System.Console.ForegroundColor = promptColor.Value;
+            }
+
+            System.Console.Write($"  {prompt}");
+
+            if (promptColor.HasValue)
+            {
+                System.Console.ForegroundColor = GetModeColor(this.CurrentMode, this._modeColors);
+            }
+        }
+
+        string? input = System.Console.ReadLine();
+
+        if (prompt is not null)
+        {
+            AnsiConsole.Write(this.CreateModeRule());
+        }
+
+        this._lastWasText = false;
+        return input;
+    }
+
+    /// <summary>
+    /// Presents a selection prompt with the given choices, plus an option to type a custom response.
+    /// Uses Spectre.Console <see cref="SelectionPrompt{T}"/> for interactive arrow-key selection.
+    /// </summary>
+    /// <param name="title">The title/question displayed above the selection list.</param>
+    /// <param name="choices">The list of choices to present.</param>
+    /// <returns>The selected choice text, or the custom-typed response.</returns>
+    public async Task<string> ReadSelectionAsync(string title, IList<string> choices)
+    {
+        await this._spinner.StopAsync();
+
+        AnsiConsole.Write(this.CreateModeRule());
+
+        const string FreeformOption = "✏️  Type a custom response...";
+        var allChoices = choices.Concat([FreeformOption]).ToList();
+
+        var prompt = new SelectionPrompt<string>()
+            .Title($"  [bold]{Markup.Escape(title)}[/]")
+            .PageSize(10)
+            .AddChoices(allChoices);
+
+        string selection = AnsiConsole.Prompt(prompt);
+
+        if (selection == FreeformOption)
+        {
+            var textPrompt = new TextPrompt<string>("  [grey]Response:[/]");
+            selection = AnsiConsole.Prompt(textPrompt);
+        }
+
+        AnsiConsole.MarkupLine($"  [dim]→ {Markup.Escape(selection)}[/]");
+        AnsiConsole.Write(this.CreateModeRule());
+
+        this._lastWasText = false;
+        return selection;
+    }
+
+    /// <summary>
+    /// Writes the stream-complete footer (handles "no text response" fallback, resets color).
+    /// </summary>
+    public async Task WriteStreamFooterAsync(bool hasFollowUpMessages)
+    {
+        await this._spinner.StopAsync();
+
+        if (!this._hasReceivedAnyText && !hasFollowUpMessages)
+        {
+            System.Console.ForegroundColor = ConsoleColor.DarkYellow;
+            System.Console.Write("\n  (no text response from agent)");
+        }
+
+        System.Console.ResetColor();
+        System.Console.WriteLine();
+    }
+
+    /// <inheritdoc/>
+    public void Dispose()
+    {
+        this._spinner.Dispose();
+    }
+
+    /// <summary>
+    /// Gets the console color associated with a mode name, using the provided color map.
+    /// </summary>
+    internal static ConsoleColor GetModeColor(string? mode, IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
+    {
+        if (mode is null)
+        {
+            return ConsoleColor.Gray;
+        }
+
+        if (modeColors is not null && modeColors.TryGetValue(mode, out var color))
+        {
+            return color;
+        }
+
+        return ConsoleColor.Gray;
+    }
+
+    /// <summary>
+    /// Creates a <see cref="Rule"/> styled with the current mode color.
+    /// </summary>
+    internal Rule CreateModeRule()
+    {
+        var spectreColor = ToSpectreColor(GetModeColor(this.CurrentMode, this._modeColors));
+        return new Rule().RuleStyle(new Style(spectreColor));
+    }
+
+    internal static Color ToSpectreColor(ConsoleColor consoleColor) => consoleColor switch
+    {
+        ConsoleColor.Black => Color.Black,
+        ConsoleColor.DarkBlue => Color.Blue,
+        ConsoleColor.DarkGreen => Color.Green,
+        ConsoleColor.DarkCyan => Color.Teal,
+        ConsoleColor.DarkRed => Color.Red,
+        ConsoleColor.DarkMagenta => Color.Purple,
+        ConsoleColor.DarkYellow => Color.Olive,
+        ConsoleColor.Gray => Color.Silver,
+        ConsoleColor.DarkGray => Color.Grey,
+        ConsoleColor.Blue => Color.Blue1,
+        ConsoleColor.Green => Color.Green1,
+        ConsoleColor.Cyan => Color.Aqua,
+        ConsoleColor.Red => Color.Red1,
+        ConsoleColor.Magenta => Color.Fuchsia,
+        ConsoleColor.Yellow => Color.Yellow,
+        ConsoleColor.White => Color.White,
+        _ => Color.Silver,
+    };
+}
@@ -1,59 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Represents an action returned by an observer at the end of an agent turn.
-/// Subtypes describe either a question to ask the user (<see cref="FollowUpQuestion"/>)
-/// or a message to add directly to the next agent input (<see cref="FollowUpMessage"/>).
-/// </summary>
-public abstract record FollowUpAction;
-
-/// <summary>
-/// Represents a question that should be presented to the user. The
-/// <see cref="Continuation"/> delegate is invoked with the user's answer and the
-/// UX state driver, and returns an optional <see cref="ChatMessage"/> to add to the
-/// next agent invocation.
-/// </summary>
-/// <param name="Prompt">The question text shown to the user.</param>
-/// <param name="Continuation">
-/// Invoked with the user's answer and the UX state driver. The driver lets the
-/// continuation write output (e.g., an action label like "Approved") in addition
-/// to producing an optional <see cref="ChatMessage"/> for the next agent invocation.
-/// </param>
-public abstract record FollowUpQuestion(
-    string Prompt,
-    Func<string, IUXStateDriver, Task<ChatMessage?>> Continuation) : FollowUpAction;
-
-/// <summary>
-/// A free-form text question. The user may type any response.
-/// </summary>
-/// <param name="Prompt">The question text shown to the user.</param>
-/// <param name="Continuation">Continuation that builds the response message.</param>
-public sealed record TextFollowUpQuestion(
-    string Prompt,
-    Func<string, IUXStateDriver, Task<ChatMessage?>> Continuation)
-    : FollowUpQuestion(Prompt, Continuation);
-
-/// <summary>
-/// A choice question. The user picks from <paramref name="Choices"/>, optionally with
-/// the ability to enter custom text when <paramref name="AllowCustomText"/> is true.
-/// </summary>
-/// <param name="Prompt">The question text shown to the user.</param>
-/// <param name="Choices">The list of pre-defined choices.</param>
-/// <param name="AllowCustomText">If true, the user may type a custom response in addition to the listed choices.</param>
-/// <param name="Continuation">Continuation that builds the response message.</param>
-public sealed record ChoiceFollowUpQuestion(
-    string Prompt,
-    IReadOnlyList<string> Choices,
-    bool AllowCustomText,
-    Func<string, IUXStateDriver, Task<ChatMessage?>> Continuation)
-    : FollowUpQuestion(Prompt, Continuation);
-
-/// <summary>
-/// A message to add directly to the next agent invocation without prompting the user.
-/// </summary>
-/// <param name="Message">The chat message to add.</param>
-public sealed record FollowUpMessage(ChatMessage Message) : FollowUpAction;
@@ -1,279 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.Shared.Console.Commands;
-using Harness.Shared.Console.Observers;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Orchestrates agent invocations driven by user-input events from the UI.
-/// The component invokes the runner's input handlers (<see cref="OnUserInputAsync"/>,
-/// <see cref="OnStreamingInputAsync"/>, <see cref="StartAgentTurnAsync"/>) directly;
-/// the runner mutates UI state through the supplied <see cref="IUXStateDriver"/>.
-/// All per-turn follow-up state (pending questions and accumulated responses) lives
-/// in the component's state record — the runner reads/writes it exclusively through
-/// the driver and holds no per-turn fields itself.
-/// </summary>
-public sealed class HarnessAgentRunner : IDisposable
-{
-    private readonly AIAgent _agent;
-    private readonly AgentSession _session;
-    private readonly AgentModeProvider? _modeProvider;
-    private readonly MessageInjectingChatClient? _messageInjector;
-    private readonly IReadOnlyList<CommandHandler> _commandHandlers;
-    private readonly IReadOnlyList<ConsoleObserver> _observers;
-    private readonly IUXStateDriver _ux;
-
-    private readonly SemaphoreSlim _inputGate = new(1, 1);
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="HarnessAgentRunner"/> class.
-    /// </summary>
-    public HarnessAgentRunner(
-        AIAgent agent,
-        AgentSession session,
-        AgentModeProvider? modeProvider,
-        MessageInjectingChatClient? messageInjector,
-        IReadOnlyList<CommandHandler> commandHandlers,
-        IReadOnlyList<ConsoleObserver> observers,
-        IUXStateDriver ux)
-    {
-        this._agent = agent;
-        this._session = session;
-        this._modeProvider = modeProvider;
-        this._messageInjector = messageInjector;
-        this._commandHandlers = commandHandlers;
-        this._observers = observers;
-        this._ux = ux;
-
-        this.HelpText = string.Join(
-            ", ",
-            commandHandlers
-                .Select(h => h.GetHelpText())
-                .Where(t => t is not null)!);
-    }
-
-    /// <summary>
-    /// Gets the help text describing all available commands (joined by ", "), suitable
-    /// for display in the mode-and-help bar. Computed from the supplied
-    /// <c>commandHandlers</c>.
-    /// </summary>
-    public string HelpText { get; }
-
-    /// <inheritdoc/>
-    public void Dispose() => this._inputGate.Dispose();
-
-    /// <summary>
-    /// Handles a top-level user input submission (TextInput mode, no pending question).
-    /// Dispatches to command handlers, or starts an agent turn.
-    /// </summary>
-    internal async Task OnUserInputAsync(string text)
-    {
-        await this._inputGate.WaitAsync().ConfigureAwait(false);
-        try
-        {
-            this._ux.WriteUserInputEcho(text);
-
-            foreach (var handler in this._commandHandlers)
-            {
-                if (await handler.TryHandleAsync(text, this._session, this._ux).ConfigureAwait(false))
-                {
-                    this._ux.CurrentMode = this._modeProvider?.GetMode(this._session);
-                    return;
-                }
-            }
-
-            await this.RunAgentLoopAsync([new ChatMessage(ChatRole.User, text)]).ConfigureAwait(false);
-        }
-        finally
-        {
-            this._inputGate.Release();
-        }
-    }
-
-    /// <summary>
-    /// Handles a user input submission while an agent turn is streaming. The text is
-    /// enqueued via the <see cref="MessageInjectingChatClient"/> so it can be picked up
-    /// by the agent on its next opportunity.
-    /// </summary>
-    internal Task OnStreamingInputAsync(string text)
-    {
-        if (this._messageInjector is null)
-        {
-            return Task.CompletedTask;
-        }
-
-        this._messageInjector.EnqueueMessages(this._session, [new ChatMessage(ChatRole.User, text)]);
-        this._ux.SetQueuedMessages(this._messageInjector.GetPendingMessages(this._session));
-        return Task.CompletedTask;
-    }
-
-    /// <summary>
-    /// Resumes (or completes) a turn after the user has answered all pending follow-up
-    /// questions. The component invokes this with the messages drained from
-    /// <see cref="IUXStateDriver.TakeFollowUpResponses"/>; an empty list simply ends
-    /// the streaming display state without invoking the agent.
-    /// </summary>
-    internal async Task StartAgentTurnAsync(IList<ChatMessage> messages)
-    {
-        await this._inputGate.WaitAsync().ConfigureAwait(false);
-        try
-        {
-            if (messages.Count == 0)
-            {
-                this.CompleteTurn();
-                return;
-            }
-
-            await this.RunAgentLoopAsync(messages).ConfigureAwait(false);
-        }
-        finally
-        {
-            this._inputGate.Release();
-        }
-    }
-
-    private async Task RunAgentLoopAsync(IList<ChatMessage> messages)
-    {
-        IList<ChatMessage>? nextMessages = messages;
-        IReadOnlyList<ChatMessage> lastPendingMessages = this._messageInjector?.GetPendingMessages(this._session) ?? [];
-
-        while (nextMessages is not null)
-        {
-            var runOptions = new AgentRunOptions();
-            foreach (var observer in this._observers)
-            {
-                observer.ConfigureRunOptions(runOptions, this._agent, this._session);
-            }
-
-            this._ux.CurrentMode = this._modeProvider?.GetMode(this._session);
-            this._ux.BeginStreaming();
-            this._ux.BeginStreamingOutput();
-
-            try
-            {
-                await foreach (var update in this._agent.RunStreamingAsync(nextMessages, this._session, runOptions))
-                {
-                    if (this._modeProvider is not null)
-                    {
-                        string currentMode = this._modeProvider.GetMode(this._session);
-                        if (currentMode != this._ux.CurrentMode)
-                        {
-                            this._ux.CurrentMode = currentMode;
-                        }
-                    }
-
-                    foreach (var content in update.Contents)
-                    {
-                        foreach (var observer in this._observers)
-                        {
-                            await observer.OnContentAsync(this._ux, content, this._agent, this._session).ConfigureAwait(false);
-                        }
-                    }
-
-                    if (!string.IsNullOrEmpty(update.Text))
-                    {
-                        foreach (var observer in this._observers)
-                        {
-                            await observer.OnTextAsync(this._ux, update.Text, this._agent, this._session).ConfigureAwait(false);
-                        }
-                    }
-
-                    this.SyncQueuedMessageDisplay(ref lastPendingMessages);
-                }
-            }
-            catch (Exception ex)
-            {
-                await this._ux.WriteInfoLineAsync($"❌ Stream error: {ex.GetType().Name}:\n{ex}", ConsoleColor.Red).ConfigureAwait(false);
-            }
-
-            // Final sync after streaming.
-            this.SyncQueuedMessageDisplay(ref lastPendingMessages);
-
-            this._ux.StopSpinner();
-            await this._ux.EndStreamingOutputAsync().ConfigureAwait(false);
-
-            // Collect FollowUpActions from each observer.
-            var directMessages = new List<ChatMessage>();
-            var questions = new List<FollowUpQuestion>();
-            foreach (var observer in this._observers)
-            {
-                var actions = await observer.OnStreamCompleteAsync(this._ux, this._agent, this._session).ConfigureAwait(false);
-                if (actions is null)
-                {
-                    continue;
-                }
-
-                foreach (var action in actions)
-                {
-                    switch (action)
-                    {
-                        case FollowUpMessage msg:
-                            directMessages.Add(msg.Message);
-                            break;
-                        case FollowUpQuestion q:
-                            questions.Add(q);
-                            break;
-                    }
-                }
-            }
-
-            bool hasFollowUpActions = directMessages.Count > 0 || questions.Count > 0;
-            await this._ux.WriteNoTextWarningAsync(hasFollowUpActions).ConfigureAwait(false);
-
-            // Add any direct messages to the accumulator regardless of whether questions follow —
-            // they're sent on the next agent invocation, either by us (if no questions) or by
-            // the component (after the user finishes answering, via StartAgentTurnAsync).
-            foreach (var msg in directMessages)
-            {
-                this._ux.AddFollowUpResponse(msg);
-            }
-
-            if (questions.Count > 0)
-            {
-                // Pause: hand control back to the UX to collect answers.
-                this._ux.QueueFollowUpQuestions(questions);
-                return;
-            }
-
-            // No questions to ask — drain anything we just accumulated and loop with it.
-            IReadOnlyList<ChatMessage> drained = this._ux.TakeFollowUpResponses();
-            nextMessages = drained.Count > 0 ? [.. drained] : null;
-        }
-
-        this.CompleteTurn();
-    }
-
-    private void CompleteTurn()
-    {
-        this._ux.EndStreaming();
-        this._ux.CurrentMode = this._modeProvider?.GetMode(this._session);
-    }
-
-    /// <summary>
-    /// Synchronizes the queued items display with the message injector's pending messages.
-    /// Messages that have been consumed (drained by the service) are echoed to the output
-    /// area as regular user-input entries.
-    /// </summary>
-    private void SyncQueuedMessageDisplay(ref IReadOnlyList<ChatMessage> lastPendingMessages)
-    {
-        if (this._messageInjector is null)
-        {
-            return;
-        }
-
-        var pending = this._messageInjector.GetPendingMessages(this._session);
-
-        int consumedCount = lastPendingMessages.Count - pending.Count;
-        for (int i = 0; i < consumedCount && i < lastPendingMessages.Count; i++)
-        {
-            string text = lastPendingMessages[i].Text ?? string.Empty;
-            this._ux.WriteUserInputEcho(text);
-        }
-
-        lastPendingMessages = pending;
-        this._ux.SetQueuedMessages(pending);
-    }
-}
@@ -1,571 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveComponents;
-using Harness.ConsoleReactiveFramework;
-using Harness.Shared.Console.Components;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// The main application component for the Harness console. Manages the scroll region
-/// and bottom panel (text input, list selection, or streaming indicator). Owns the
-/// <see cref="HarnessConsoleUXStateDriver"/> and routes user input events to the
-/// registered <see cref="HarnessAgentRunner"/>.
-/// </summary>
-public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps, HarnessAppComponentState>, IDisposable
-{
-    private readonly TopBottomRule _rule = new();
-    private readonly ListSelection _listSelection = new();
-    private readonly TextInput _textInput = new();
-    private readonly TextScrollPanel _textScrollPanel = new();
-    private readonly TextPanel _textPanel = new();
-    private readonly TextPanel _queuedPanel = new();
-    private readonly AgentStatus _agentStatus = new();
-    private readonly AgentModeAndHelp _modeAndHelp = new();
-    private readonly HarnessConsoleUXStateDriver _uxDriver;
-    private readonly TaskCompletionSource<bool> _shutdownTcs = new(TaskCreationOptions.RunContinuationsAsynchronously);
-    private readonly SemaphoreSlim _followUpGate = new(1, 1);
-    private int _scrollRegionBottom;
-    private bool _resizedSinceLastRender = true;
-    private bool _deactivated;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="HarnessAppComponent"/> class.
-    /// </summary>
-    /// <param name="placeholder">Placeholder text shown when the input is empty.</param>
-    /// <param name="initialMode">The current agent mode, used to colour the rule and prompt.</param>
-    /// <param name="inputEnabled">Whether the bottom-panel input accepts keystrokes during streaming.</param>
-    /// <param name="runnerFactory">Factory invoked with the component's <see cref="IUXStateDriver"/>
-    /// to construct the <see cref="HarnessAgentRunner"/> that owns the agent loop.</param>
-    /// <param name="modeColors">Optional mapping of mode names to console colors.</param>
-    public HarnessAppComponent(
-        string placeholder,
-        string? initialMode,
-        bool inputEnabled,
-        Func<IUXStateDriver, HarnessAgentRunner> runnerFactory,
-        IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
-    {
-        this.Props = new ConsoleReactiveProps();
-        this.State = new HarnessAppComponentState
-        {
-            Mode = BottomPanelMode.TextInput,
-            Prompt = "> ",
-            Placeholder = placeholder,
-            ModeColor = ModeColors.Get(initialMode, modeColors),
-            ModeText = initialMode,
-            InputEnabled = inputEnabled,
-            ConsoleWidth = System.Console.WindowWidth,
-            ConsoleHeight = System.Console.WindowHeight,
-        };
-
-        this._uxDriver = new HarnessConsoleUXStateDriver(
-            getState: () => this.State!,
-            setState: s => this.SetState(s),
-            requestShutdown: () => this._shutdownTcs.TrySetResult(true),
-            modeColors: modeColors);
-
-        this.Runner = runnerFactory(this._uxDriver);
-
-        // Seed help text now that the runner (which knows the registered command handlers)
-        // is available. Direct assignment — no Render is triggered until the caller invokes Render().
-        this.State = this.State with { HelpText = this.Runner.HelpText };
-
-        KeyEventListener.Instance.KeyPressed += this.OnKeyPressed;
-        ConsoleResizeListener.Instance.ConsoleResized += this.OnConsoleResized;
-    }
-
-    /// <summary>
-    /// Gets the agent runner that owns the agent loop. Constructed by the factory
-    /// passed to the component's constructor.
-    /// </summary>
-    public HarnessAgentRunner Runner { get; }
-
-    /// <summary>
-    /// Completes when a command handler requests application shutdown (e.g. the user types <c>/exit</c>).
-    /// Awaited by <see cref="HarnessConsole.RunAgentAsync"/>.
-    /// </summary>
-    public Task ShutdownTask => this._shutdownTcs.Task;
-
-    /// <summary>
-    /// Deactivates the component, resetting the scroll region and unsubscribing from events.
-    /// This method is idempotent and safe to call multiple times.
-    /// </summary>
-    public void Deactivate()
-    {
-        if (this._deactivated)
-        {
-            return;
-        }
-
-        this._deactivated = true;
-        this._agentStatus.Dispose();
-        KeyEventListener.Instance.KeyPressed -= this.OnKeyPressed;
-        ConsoleResizeListener.Instance.ConsoleResized -= this.OnConsoleResized;
-    }
-
-    /// <inheritdoc/>
-    public void Dispose()
-    {
-        this.Dispose(true);
-        GC.SuppressFinalize(this);
-    }
-
-    /// <summary>
-    /// Releases managed resources.
-    /// </summary>
-    /// <param name="disposing"><c>true</c> to release managed resources.</param>
-    protected virtual void Dispose(bool disposing)
-    {
-        if (disposing)
-        {
-            this.Deactivate();
-            this._followUpGate.Dispose();
-            this.Runner.Dispose();
-        }
-    }
-
-    private void OnKeyPressed(object? sender, KeyPressEventArgs e)
-    {
-        BottomPanelMode mode = this.State!.Mode;
-        if (mode == BottomPanelMode.TextInput)
-        {
-            this.HandleTextInputKey(e);
-        }
-        else if (mode == BottomPanelMode.ListSelection)
-        {
-            this.HandleListSelectionKey(e);
-        }
-        else if (mode == BottomPanelMode.Streaming && this.State.InputEnabled)
-        {
-            this.HandleStreamingInputKey(e);
-        }
-    }
-
-    private void HandleTextInputKey(KeyPressEventArgs e)
-    {
-        if (e.KeyInfo.Key == ConsoleKey.Enter)
-        {
-            string text = this.State!.InputText;
-            if (string.IsNullOrWhiteSpace(text))
-            {
-                return;
-            }
-
-            this.SetState(this.State with { InputText = "" });
-            this.DispatchTextInputSubmission(text);
-        }
-        else if (e.KeyInfo.Key == ConsoleKey.Backspace)
-        {
-            if (this.State!.InputText.Length > 0)
-            {
-                this.SetState(this.State with { InputText = this.State.InputText[..^1] });
-            }
-        }
-        else if (e.KeyInfo.KeyChar != '\0' && !char.IsControl(e.KeyInfo.KeyChar))
-        {
-            this.SetState(this.State! with { InputText = this.State.InputText + e.KeyInfo.KeyChar });
-        }
-    }
-
-    private void HandleListSelectionKey(KeyPressEventArgs e)
-    {
-        int maxIndex = this.State!.ListSelectionOptions.Count - 1;
-        if (this.State.ListSelectionCustomTextPlaceholder != null)
-        {
-            maxIndex = this.State.ListSelectionOptions.Count;
-        }
-
-        bool isOnCustomTextOption = this.State.ListSelectionCustomTextPlaceholder != null
-            && this.State.ListSelectionIndex == this.State.ListSelectionOptions.Count;
-
-        if (e.KeyInfo.Key == ConsoleKey.UpArrow)
-        {
-            this.SetState(this.State with { ListSelectionIndex = Math.Max(0, this.State.ListSelectionIndex - 1) });
-        }
-        else if (e.KeyInfo.Key == ConsoleKey.DownArrow)
-        {
-            this.SetState(this.State with { ListSelectionIndex = Math.Min(maxIndex, this.State.ListSelectionIndex + 1) });
-        }
-        else if (e.KeyInfo.Key == ConsoleKey.Enter)
-        {
-            string result = isOnCustomTextOption
-                ? this.State.ListSelectionCustomInputText
-                : this.State.ListSelectionOptions[this.State.ListSelectionIndex];
-
-            this.SetState(this.State with { ListSelectionCustomInputText = "", ListSelectionIndex = 0 });
-            this.DispatchListSelectionSubmission(result);
-        }
-        else if (isOnCustomTextOption)
-        {
-            if (e.KeyInfo.Key == ConsoleKey.Backspace)
-            {
-                if (this.State.ListSelectionCustomInputText.Length > 0)
-                {
-                    this.SetState(this.State with { ListSelectionCustomInputText = this.State.ListSelectionCustomInputText[..^1] });
-                }
-            }
-            else if (e.KeyInfo.KeyChar != '\0' && !char.IsControl(e.KeyInfo.KeyChar))
-            {
-                this.SetState(this.State with { ListSelectionCustomInputText = this.State.ListSelectionCustomInputText + e.KeyInfo.KeyChar });
-            }
-        }
-    }
-
-    private void HandleStreamingInputKey(KeyPressEventArgs e)
-    {
-        if (e.KeyInfo.Key == ConsoleKey.Enter)
-        {
-            string text = this.State!.InputText;
-            if (string.IsNullOrWhiteSpace(text))
-            {
-                return;
-            }
-
-            this.SetState(this.State with { InputText = "" });
-            _ = this.Runner.OnStreamingInputAsync(text);
-        }
-        else if (e.KeyInfo.Key == ConsoleKey.Backspace)
-        {
-            if (this.State!.InputText.Length > 0)
-            {
-                this.SetState(this.State with { InputText = this.State.InputText[..^1] });
-            }
-        }
-        else if (e.KeyInfo.KeyChar != '\0' && !char.IsControl(e.KeyInfo.KeyChar))
-        {
-            this.SetState(this.State! with { InputText = this.State.InputText + e.KeyInfo.KeyChar });
-        }
-    }
-
-    private void DispatchTextInputSubmission(string text)
-    {
-        if (this.State!.PendingQuestions.Count > 0)
-        {
-            _ = this.HandleFollowUpAnswerAsync(text);
-        }
-        else
-        {
-            _ = this.Runner.OnUserInputAsync(text);
-        }
-    }
-
-    private void DispatchListSelectionSubmission(string text)
-    {
-        // List selection is only used to answer FollowUpQuestions.
-        _ = this.HandleFollowUpAnswerAsync(text);
-    }
-
-    /// <summary>
-    /// Handles a user answer to the head of the pending follow-up question queue:
-    /// awaits the question's continuation (which is responsible for echoing both the
-    /// question and answer to the scroll area as it sees fit), appends any returned
-    /// chat message to the response accumulator, advances the queue, and — when the
-    /// queue empties — drains the accumulator and resumes the runner.
-    /// </summary>
-    private async Task HandleFollowUpAnswerAsync(string text)
-    {
-        IReadOnlyList<ChatMessage>? messagesToSend = null;
-
-        await this._followUpGate.WaitAsync().ConfigureAwait(false);
-        try
-        {
-            HarnessConsoleUXStateDriver ux = this._uxDriver;
-            IReadOnlyList<FollowUpQuestion> queue = this.State!.PendingQuestions;
-            if (queue.Count == 0)
-            {
-                return;
-            }
-
-            FollowUpQuestion head = queue[0];
-
-            ChatMessage? response;
-            try
-            {
-                response = await head.Continuation(text, ux).ConfigureAwait(false);
-            }
-            catch (Exception ex)
-            {
-                await ux.WriteInfoLineAsync($"❌ Follow-up handler error: {ex.GetType().Name}: {ex.Message}", ConsoleColor.Red).ConfigureAwait(false);
-                response = null;
-            }
-
-            if (response is not null)
-            {
-                ux.AddFollowUpResponse(response);
-            }
-
-            ux.AdvanceFollowUpQuestion();
-
-            if (this.State!.PendingQuestions.Count == 0)
-            {
-                messagesToSend = ux.TakeFollowUpResponses();
-            }
-        }
-        finally
-        {
-            this._followUpGate.Release();
-        }
-
-        // Resume the agent outside the gate — StartAgentTurnAsync runs the full agent
-        // loop which may queue new follow-up questions (re-entering this method).
-        if (messagesToSend is not null)
-        {
-            try
-            {
-                await this.Runner.StartAgentTurnAsync([.. messagesToSend]).ConfigureAwait(false);
-            }
-            catch (Exception ex)
-            {
-                await this._uxDriver.WriteInfoLineAsync($"❌ Agent error: {ex.GetType().Name}: {ex.Message}", ConsoleColor.Red).ConfigureAwait(false);
-            }
-        }
-    }
-
-    private void OnConsoleResized(object? sender, ConsoleResizeEventArgs e)
-    {
-        this._resizedSinceLastRender = true;
-        this.SetState(this.State! with
-        {
-            ConsoleWidth = e.NewWidth,
-            ConsoleHeight = e.NewHeight,
-        });
-    }
-
-    /// <inheritdoc />
-    public override void RenderCore(ConsoleReactiveProps props, HarnessAppComponentState state)
-    {
-        if (this._deactivated)
-        {
-            return;
-        }
-
-        // Determine the text panel height for the last scroll item
-        IReadOnlyList<string> lastItems = state.ScrollAreaContentItems.Count > 0
-            ? [state.ScrollAreaContentItems[^1]]
-            : [];
-        int textPanelHeight = TextPanel.CalculateHeight(lastItems);
-        if (textPanelHeight > 0)
-        {
-            textPanelHeight++; // Extra line for spacing between text panel and rule
-        }
-
-        // Calculate queued items panel height
-        int queuedPanelHeight = TextPanel.CalculateHeight(state.QueuedItems);
-
-        // Build the bottom panel child based on mode
-        ConsoleReactiveComponent bottomChild;
-        int bottomChildHeight;
-
-        if (state.Mode == BottomPanelMode.ListSelection)
-        {
-            var listProps = new ListSelectionProps
-            {
-                Title = state.ListSelectionTitle,
-                Items = state.ListSelectionOptions,
-                SelectedIndex = state.ListSelectionIndex,
-                HighlightColor = state.ListHighlightColor,
-                CustomTextPlaceholder = state.ListSelectionCustomTextPlaceholder,
-                CustomText = state.ListSelectionCustomInputText,
-            };
-
-            bottomChildHeight = ListSelection.CalculateHeight(listProps);
-            this._listSelection.Height = bottomChildHeight;
-            this._listSelection.Props = listProps;
-            bottomChild = this._listSelection;
-        }
-        else if (state.Mode == BottomPanelMode.Streaming)
-        {
-            TextInputProps textInputProps;
-            if (state.InputEnabled)
-            {
-                textInputProps = new TextInputProps
-                {
-                    Prompt = state.Prompt,
-                    Text = state.InputText,
-                    Placeholder = state.Placeholder,
-                };
-            }
-            else
-            {
-                textInputProps = new TextInputProps
-                {
-                    Prompt = state.Prompt,
-                    Text = "",
-                    Placeholder = state.StreamingPrompt,
-                };
-            }
-
-            bottomChildHeight = TextInput.CalculateHeight(textInputProps, state.ConsoleWidth);
-            this._textInput.Width = state.ConsoleWidth;
-            this._textInput.Height = bottomChildHeight;
-            this._textInput.Props = textInputProps;
-            bottomChild = this._textInput;
-        }
-        else
-        {
-            var textInputProps = new TextInputProps
-            {
-                Prompt = state.Prompt,
-                Text = state.InputText,
-                Placeholder = state.Placeholder,
-            };
-
-            bottomChildHeight = TextInput.CalculateHeight(textInputProps, state.ConsoleWidth);
-            this._textInput.Width = state.ConsoleWidth;
-            this._textInput.Height = bottomChildHeight;
-            this._textInput.Props = textInputProps;
-            bottomChild = this._textInput;
-        }
-
-        var ruleProps = new TopBottomRuleProps
-        {
-            Width = state.ConsoleWidth,
-            Color = state.ModeColor,
-            Children = [bottomChild],
-        };
-
-        var agentStatusProps = new AgentStatusProps
-        {
-            ShowSpinner = state.ShowSpinner,
-            UsageText = state.UsageText,
-        };
-
-        var modeAndHelpProps = new AgentModeAndHelpProps
-        {
-            Mode = state.ModeText,
-            ModeColor = state.ModeColor,
-            HelpText = state.HelpText,
-        };
-
-        // Hide agent status and mode/help during follow-up questions (ListSelection mode)
-        // as they clutter the UI and aren't relevant.
-        bool showStatusAndHelp = state.Mode != BottomPanelMode.ListSelection;
-        int agentStatusHeight = showStatusAndHelp ? AgentStatus.CalculateHeight(agentStatusProps) : 0;
-        int modeAndHelpHeight = showStatusAndHelp ? AgentModeAndHelp.CalculateHeight(modeAndHelpProps) : 0;
-
-        int ruleHeight = TopBottomRule.CalculateHeight(ruleProps);
-        int nonScrollHeight = ruleHeight + textPanelHeight + agentStatusHeight + queuedPanelHeight + modeAndHelpHeight + 1; // +1 for bottom padding
-        int scrollBottom = Math.Max(1, state.ConsoleHeight - nonScrollHeight);
-
-        // If scroll region changed or a clear is needed, reset everything
-        if (this._resizedSinceLastRender || (this._scrollRegionBottom != 0 && scrollBottom != this._scrollRegionBottom))
-        {
-            // Reset scroll region to full screen before erasing so the erase covers all rows —
-            // some terminals only erase within the active DECSTBM region.
-            System.Console.Write(AnsiEscapes.ResetScrollRegion);
-            System.Console.Write(AnsiEscapes.EraseEntireScreen);
-            System.Console.Write(AnsiEscapes.EraseScrollbackBuffer);
-            this._textScrollPanel.Reset();
-            this._resizedSinceLastRender = false;
-        }
-
-        this._scrollRegionBottom = scrollBottom;
-
-        System.Console.Write(AnsiEscapes.SetScrollRegion(scrollBottom));
-
-        // Render text scroll panel in the scroll area (all items except the last)
-        IReadOnlyList<string> scrollItems = state.ScrollAreaContentItems.Count > 1
-            ? state.ScrollAreaContentItems.Take(state.ScrollAreaContentItems.Count - 1).ToList()
-            : [];
-
-        this._textScrollPanel.X = 1;
-        this._textScrollPanel.Y = 1;
-        this._textScrollPanel.Width = state.ConsoleWidth;
-        this._textScrollPanel.Height = scrollBottom;
-        this._textScrollPanel.Props = new TextScrollPanelProps
-        {
-            Items = scrollItems,
-        };
-        this._textScrollPanel.Render();
-
-        // Render the text panel for the last (dynamic) item just below the scroll region
-        this._textPanel.X = 1;
-        this._textPanel.Y = scrollBottom + 1;
-        this._textPanel.Width = state.ConsoleWidth;
-        this._textPanel.Height = textPanelHeight;
-        this._textPanel.Props = new TextPanelProps
-        {
-            Items = lastItems,
-        };
-        this._textPanel.Render();
-
-        // Render queued input items between text panel and agent status
-        int queuedPanelY = scrollBottom + textPanelHeight + 1;
-        this._queuedPanel.X = 1;
-        this._queuedPanel.Y = queuedPanelY;
-        this._queuedPanel.Width = state.ConsoleWidth;
-        this._queuedPanel.Height = queuedPanelHeight;
-        this._queuedPanel.Props = new TextPanelProps
-        {
-            Items = state.QueuedItems,
-        };
-        this._queuedPanel.Render();
-
-        // Render the agent status line between queued items and rule
-        int agentStatusY = queuedPanelY + queuedPanelHeight;
-        if (showStatusAndHelp)
-        {
-            this._agentStatus.X = 1;
-            this._agentStatus.Y = agentStatusY;
-            this._agentStatus.Width = state.ConsoleWidth;
-            this._agentStatus.Height = agentStatusHeight;
-            this._agentStatus.Props = agentStatusProps;
-            this._agentStatus.Render();
-        }
-
-        // Render the bottom rule + child below the agent status
-        this._rule.X = 1;
-        this._rule.Y = agentStatusY + agentStatusHeight;
-        this._rule.Props = ruleProps;
-        this._rule.Render();
-
-        // Render the mode-and-help line below the bottom rule
-        if (showStatusAndHelp)
-        {
-            int modeAndHelpY = this._rule.Y + ruleHeight;
-            this._modeAndHelp.X = 1;
-            this._modeAndHelp.Y = modeAndHelpY;
-            this._modeAndHelp.Width = state.ConsoleWidth;
-            this._modeAndHelp.Height = modeAndHelpHeight;
-            this._modeAndHelp.Props = modeAndHelpProps;
-            this._modeAndHelp.Render();
-        }
-
-        // Position cursor for natural typing appearance
-        this.PositionCursor(state);
-    }
-
-    private void PositionCursor(HarnessAppComponentState state)
-    {
-        if (state.Mode == BottomPanelMode.TextInput
-            || (state.Mode == BottomPanelMode.Streaming && state.InputEnabled))
-        {
-            int promptLength = state.Prompt.Length;
-            int textWidth = state.ConsoleWidth - promptLength;
-            int textLength = state.InputText.Length;
-
-            int textInputY = this._rule.Y + 1;
-
-            if (textWidth <= 0 || textLength == 0)
-            {
-                System.Console.Write(AnsiEscapes.MoveCursor(textInputY, promptLength + 1));
-            }
-            else
-            {
-                int cursorRow = textLength < textWidth ? 0 : 1 + ((textLength - textWidth) / textWidth);
-                int cursorCol = textLength < textWidth ? textLength : (textLength - textWidth) % textWidth;
-                System.Console.Write(AnsiEscapes.MoveCursor(textInputY + cursorRow, promptLength + cursorCol + 1));
-            }
-        }
-        else if (state.Mode == BottomPanelMode.ListSelection
-            && state.ListSelectionCustomTextPlaceholder != null
-            && state.ListSelectionIndex == state.ListSelectionOptions.Count)
-        {
-            int titleLines = state.ListSelectionTitle?.Split('\n').Length ?? 0;
-            int customOptionY = this._rule.Y + 1 + titleLines + state.ListSelectionOptions.Count;
-            int cursorCol = 2 + state.ListSelectionCustomInputText.Length + 1;
-            System.Console.Write(AnsiEscapes.MoveCursor(customOptionY, cursorCol));
-        }
-    }
-}
@@ -1,125 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveFramework;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Determines which component is shown in the bottom panel.
-/// </summary>
-public enum BottomPanelMode
-{
-    /// <summary>Show the text input component for user input.</summary>
-    TextInput,
-
-    /// <summary>Show the list selection component for interactive prompts.</summary>
-    ListSelection,
-
-    /// <summary>Show a disabled input indicator during agent streaming.</summary>
-    Streaming,
-}
-
-/// <summary>
-/// Internal state for <see cref="HarnessAppComponent"/>. All UI fields that may
-/// change after construction live here; they are mutated exclusively via
-/// <see cref="ConsoleReactiveComponent{TProps,TState}.SetState"/> by the
-/// owning <see cref="HarnessConsoleUXStateDriver"/>.
-/// </summary>
-public record HarnessAppComponentState : ConsoleReactiveState
-{
-    // --- Console dimensions ---
-
-    /// <summary>Gets the current console width in columns.</summary>
-    public int ConsoleWidth { get; init; }
-
-    /// <summary>Gets the current console height in rows.</summary>
-    public int ConsoleHeight { get; init; }
-
-    // --- Bottom panel mode ---
-
-    /// <summary>Gets the bottom panel mode.</summary>
-    public BottomPanelMode Mode { get; init; } = BottomPanelMode.TextInput;
-
-    /// <summary>
-    /// Gets the queue of follow-up questions waiting for user answers. The head
-    /// (<c>[0]</c>) is the question currently being displayed; subsequent items
-    /// are dispatched in order as each is answered. While this queue is non-empty,
-    /// the next user submission is treated as the answer to the head question
-    /// instead of going to the agent runner's normal input handler.
-    /// </summary>
-    public IReadOnlyList<FollowUpQuestion> PendingQuestions { get; init; } = [];
-
-    /// <summary>
-    /// Gets the accumulated follow-up response messages collected during the
-    /// current agent turn — both direct <see cref="FollowUpMessage"/>s emitted
-    /// by observers and continuation results from answered questions. Consumed
-    /// by the runner via <see cref="IUXStateDriver.TakeFollowUpResponses"/>
-    /// before the next agent invocation.
-    /// </summary>
-    public IReadOnlyList<ChatMessage> AccumulatedFollowUpResponses { get; init; } = [];
-
-    // --- Text input (active in TextInput / Streaming modes) ---
-
-    /// <summary>Gets the prompt string for text input mode.</summary>
-    public string Prompt { get; init; } = "> ";
-
-    /// <summary>Gets the placeholder text shown when the input is empty.</summary>
-    public string Placeholder { get; init; } = "";
-
-    /// <summary>Gets the current input text being typed.</summary>
-    public string InputText { get; init; } = "";
-
-    /// <summary>Gets a value indicating whether input is enabled during streaming.</summary>
-    public bool InputEnabled { get; init; }
-
-    /// <summary>Gets the prompt to show during streaming when input is disabled.</summary>
-    public string StreamingPrompt { get; init; } = "(agent is running...)";
-
-    // --- List selection (active in ListSelection mode) ---
-
-    /// <summary>Gets the title text displayed above the list selection (for interactive prompts).</summary>
-    public string? ListSelectionTitle { get; init; }
-
-    /// <summary>Gets the list selection options.</summary>
-    public IReadOnlyList<string> ListSelectionOptions { get; init; } = [];
-
-    /// <summary>Gets the highlighted option index in list selection mode.</summary>
-    public int ListSelectionIndex { get; init; }
-
-    /// <summary>Gets the placeholder text for the custom text input option in the list.</summary>
-    public string? ListSelectionCustomTextPlaceholder { get; init; }
-
-    /// <summary>Gets the current text being typed into the list's custom text option.</summary>
-    public string ListSelectionCustomInputText { get; init; } = "";
-
-    /// <summary>Gets the highlight color for the active list item.</summary>
-    public ConsoleColor ListHighlightColor { get; init; } = ConsoleColor.Cyan;
-
-    // --- Scroll / output area ---
-
-    /// <summary>Gets the items rendered in the scroll-area. Each item is a pre-rendered
-    /// console string (may include ANSI escape sequences and newlines).</summary>
-    public IReadOnlyList<string> ScrollAreaContentItems { get; init; } = [];
-
-    /// <summary>Gets the queued input items to display above the rule. Each item is a
-    /// pre-rendered console string (may include ANSI escape sequences and newlines).</summary>
-    public IReadOnlyList<string> QueuedItems { get; init; } = [];
-
-    // --- Agent mode + status display ---
-
-    /// <summary>Gets the foreground color for the rule borders and mode label.</summary>
-    public ConsoleColor? ModeColor { get; init; }
-
-    /// <summary>Gets the current mode name displayed below the bottom rule (e.g. "plan").</summary>
-    public string? ModeText { get; init; }
-
-    /// <summary>Gets the help text displayed below the bottom rule (available commands).</summary>
-    public string? HelpText { get; init; }
-
-    /// <summary>Gets a value indicating whether the agent status spinner is visible.</summary>
-    public bool ShowSpinner { get; init; }
-
-    /// <summary>Gets the formatted token usage text to display in the status bar.</summary>
-    public string? UsageText { get; init; }
-}
@@ -1,7 +1,9 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Harness.ConsoleReactiveComponents;
+using Harness.Shared.Console.Commands;
+using Harness.Shared.Console.Observers;
 using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;

 namespace Harness.Shared.Console;

@@ -13,58 +15,200 @@ public static class HarnessConsole
 {
    /// <summary>
    /// Runs an interactive console session with the specified agent.
-    /// Constructs the reactive UI component and the <see cref="HarnessAgentRunner"/>,
-    /// wires them together, and awaits the component's <see cref="HarnessAppComponent.ShutdownTask"/>
-    /// (which completes when the user types <c>/exit</c>).
+    /// Supports streaming output, tool call display, spinner animation,
+    /// optional planning UX with structured output, and the <c>/todos</c> command.
    /// </summary>
    /// <param name="agent">The agent to interact with.</param>
-    /// <param name="userPrompt">A short prompt to the user, displayed as a placeholder in the input area.</param>
+    /// <param name="title">The title displayed in the console header.</param>
+    /// <param name="userPrompt">A short prompt to the user, displayed below the title.</param>
    /// <param name="options">Optional configuration options for the console session.</param>
-    public static async Task RunAgentAsync(AIAgent agent, string userPrompt, HarnessConsoleOptions? options = null)
+    public static async Task RunAgentAsync(AIAgent agent, string title, string userPrompt, HarnessConsoleOptions? options = null)
    {
        options ??= new();

-        // Null means use defaults; an explicit (possibly empty) list means use exactly what was provided.
-        var observers = options.Observers
-            ?? HarnessConsoleOptions.BuildDefaultObservers();
-        var commandHandlers = options.CommandHandlers
-            ?? HarnessConsoleOptions.BuildDefaultCommandHandlers(agent, options.ModeColors);
+        if (options.EnablePlanningUx
+            && (string.IsNullOrWhiteSpace(options.PlanningModeName) || string.IsNullOrWhiteSpace(options.ExecutionModeName)))
+        {
+            throw new ArgumentException(
+                "When EnablePlanningUx is true, both PlanningModeName and ExecutionModeName must be configured.",
+                nameof(options));
+        }

+        System.Console.WriteLine($"=== {title} ===");
+        System.Console.WriteLine(userPrompt);
+
+        var todoProvider = agent.GetService<TodoProvider>();
        var modeProvider = agent.GetService<AgentModeProvider>();
-        var messageInjector = agent.GetService<MessageInjectingChatClient>();
+
+        // Build command handlers.
+        var commandHandlers = new List<ICommandHandler>
+        {
+            new TodoCommandHandler(todoProvider),
+            new ModeCommandHandler(modeProvider, options.ModeColors),
+        };
+
+        var commands = commandHandlers
+            .Select(h => h.GetHelpText())
+            .Where(t => t is not null)
+            .Append("exit (quit)");
+
+        System.Console.WriteLine($"Commands: {string.Join(", ", commands)}");
+        System.Console.WriteLine();

        AgentSession session = await agent.CreateSessionAsync();
+        using var writer = new ConsoleWriter(options.ModeColors);
+        writer.CurrentMode = modeProvider?.GetMode(session);

-        using var component = new HarnessAppComponent(
-            placeholder: userPrompt,
-            initialMode: modeProvider?.GetMode(session),
-            inputEnabled: messageInjector is not null,
-            runnerFactory: ux => new HarnessAgentRunner(
-                agent: agent,
-                session: session,
-                modeProvider: modeProvider,
-                messageInjector: messageInjector,
-                commandHandlers: commandHandlers,
-                observers: observers,
-                ux: ux),
-            modeColors: options.ModeColors);
+        string prompt = BuildUserPrompt(modeProvider, session);
+        string? userInput = await writer.ReadLineAsync(prompt);

-        // Trigger the initial render of the component now that state is seeded.
-        component.Render();
-
-        try
+        // Main loop to run a command or agent and get the next user command/input.
+        while (!string.IsNullOrWhiteSpace(userInput) && !userInput.Equals("exit", StringComparison.OrdinalIgnoreCase))
        {
-            await component.ShutdownTask.ConfigureAwait(false);
-        }
-        finally
-        {
-            component.Deactivate();
+            // Check command handlers first — first one to handle wins.
+            bool handled = false;
+            foreach (var handler in commandHandlers)
+            {
+                if (handler.TryHandle(userInput, session))
+                {
+                    handled = true;
+                    break;
+                }
+            }
+
+            if (!handled)
+            {
+                await RunAgentTurnAsync(agent, session, modeProvider, options, writer, userInput);
+            }
+
+            writer.CurrentMode = modeProvider?.GetMode(session);
+            prompt = BuildUserPrompt(modeProvider, session);
+            userInput = await writer.ReadLineAsync(prompt);
        }

        System.Console.ResetColor();
-        System.Console.Write(AnsiEscapes.ResetScrollRegion);
-        System.Console.Write(AnsiEscapes.EraseEntireScreen);
-        System.Console.Write(AnsiEscapes.MoveCursor(1, 1));
        System.Console.WriteLine("Goodbye!");
    }
+
+    /// <summary>
+    /// Runs one or more agent invocations for a single user turn, using the current
+    /// observers. Re-invokes automatically for tool approvals and mode-driven follow-ups
+    /// (e.g., planning clarification loops).
+    /// </summary>
+    private static async Task RunAgentTurnAsync(
+        AIAgent agent,
+        AgentSession session,
+        AgentModeProvider? modeProvider,
+        HarnessConsoleOptions options,
+        ConsoleWriter writer,
+        string userInput)
+    {
+        IList<ChatMessage>? nextMessages = [new ChatMessage(ChatRole.User, userInput)];
+
+        while (nextMessages is not null)
+        {
+            // Build observers for this invocation (may change between iterations due to mode changes).
+            var observers = CreateObservers(options, modeProvider, session);
+
+            // Build run options — observers may inject ResponseFormat, etc.
+            var runOptions = new AgentRunOptions();
+            foreach (var observer in observers)
+            {
+                observer.ConfigureRunOptions(runOptions);
+            }
+
+            // Stream the response, fanning out to all observers.
+            writer.CurrentMode = modeProvider?.GetMode(session);
+            writer.WriteResponseHeader();
+
+            try
+            {
+                await foreach (var update in agent.RunStreamingAsync(nextMessages, session, runOptions))
+                {
+                    // Update mode color if the mode changed during streaming.
+                    if (modeProvider is not null)
+                    {
+                        string currentMode = modeProvider.GetMode(session);
+                        if (currentMode != writer.CurrentMode)
+                        {
+                            writer.CurrentMode = currentMode;
+                        }
+                    }
+
+                    foreach (var content in update.Contents)
+                    {
+                        foreach (var observer in observers)
+                        {
+                            await observer.OnContentAsync(writer, content);
+                        }
+                    }
+
+                    if (!string.IsNullOrEmpty(update.Text))
+                    {
+                        foreach (var observer in observers)
+                        {
+                            await observer.OnTextAsync(writer, update.Text);
+                        }
+                    }
+                }
+            }
+            catch (Exception ex)
+            {
+                await writer.WriteInfoLineAsync($"❌ Stream error: {ex.GetType().Name}:\n{ex}", ConsoleColor.Red);
+            }
+
+            // Collect messages from all observers.
+            var combinedMessages = new List<ChatMessage>();
+            bool hasObserverMessages = false;
+            foreach (var observer in observers)
+            {
+                var messages = await observer.OnStreamCompleteAsync(writer, agent, session, options);
+                if (messages is { Count: > 0 })
+                {
+                    combinedMessages.AddRange(messages);
+                    hasObserverMessages = true;
+                }
+            }
+
+            await writer.WriteStreamFooterAsync(hasFollowUpMessages: hasObserverMessages);
+            nextMessages = combinedMessages.Count > 0 ? combinedMessages : null;
+        }
+    }
+
+    private static List<ConsoleObserver> CreateObservers(HarnessConsoleOptions options, AgentModeProvider? modeProvider, AgentSession session)
+    {
+        var observers = new List<ConsoleObserver>
+        {
+            new ToolCallDisplayObserver(),
+            new ToolApprovalObserver(),
+            new ErrorDisplayObserver(),
+            new ReasoningDisplayObserver(),
+            new UsageDisplayObserver(options.MaxContextWindowTokens, options.MaxOutputTokens),
+        };
+
+        // Add the appropriate output observer based on the current mode.
+        if (options.EnablePlanningUx
+            && modeProvider is not null
+            && string.Equals(modeProvider.GetMode(session), options.PlanningModeName, StringComparison.OrdinalIgnoreCase))
+        {
+            observers.Add(new PlanningOutputObserver(modeProvider));
+        }
+        else
+        {
+            observers.Add(new TextOutputObserver());
+        }
+
+        return observers;
+    }
+
+    private static string BuildUserPrompt(AgentModeProvider? modeProvider, AgentSession session)
+    {
+        if (modeProvider is not null)
+        {
+            string mode = modeProvider.GetMode(session);
+            return $"[{mode}] You: ";
+        }
+
+        return "You: ";
+    }
 }
@@ -1,11 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.

-using System.Collections.ObjectModel;
-using Harness.Shared.Console.Commands;
-using Harness.Shared.Console.Observers;
-using Harness.Shared.Console.ToolFormatters;
-using Microsoft.Agents.AI;
-
 namespace Harness.Shared.Console;

 /// <summary>
@@ -14,120 +8,45 @@ namespace Harness.Shared.Console;
 public class HarnessConsoleOptions
 {
    /// <summary>
-    /// Gets or sets the list of console observers that participate in the agent response
-    /// streaming lifecycle. Use the factory methods on this class to create common observer sets.
-    /// When <see langword="null"/> (the default), a default set of observers is used.
-    /// Set to an empty list to disable all observers.
+    /// Gets or sets the optional maximum context window size in tokens.
+    /// When set, token usage is displayed as a percentage of the budget.
    /// </summary>
-    public IReadOnlyList<ConsoleObserver>? Observers { get; set; }
+    public int? MaxContextWindowTokens { get; set; }

    /// <summary>
-    /// Gets or sets the list of command handlers to check before sending user input to the agent.
-    /// Use <see cref="BuildDefaultCommandHandlers"/> to create the default set.
-    /// When <see langword="null"/> (the default), a default set of handlers is used.
-    /// Set to an empty list to disable all command handlers.
+    /// Gets or sets the optional maximum output tokens.
+    /// Used with <see cref="MaxContextWindowTokens"/> to show input/output budget breakdown.
    /// </summary>
-    public IReadOnlyList<CommandHandler>? CommandHandlers { get; set; }
+    public int? MaxOutputTokens { get; set; }

    /// <summary>
-    /// The default mode-to-color mapping used when no custom <see cref="ModeColors"/> are provided.
+    /// Gets or sets a value indicating whether the planning UX is enabled.
+    /// When <see langword="true"/> and the agent is in the mode specified by <see cref="PlanningModeName"/>,
+    /// the console uses structured output to present clarification questions and approval requests
+    /// instead of streaming free-form text.
    /// </summary>
-    public static readonly IReadOnlyDictionary<string, ConsoleColor> DefaultModeColors = new ReadOnlyDictionary<string, ConsoleColor>(
-        new Dictionary<string, ConsoleColor>(StringComparer.OrdinalIgnoreCase)
-        {
-            ["plan"] = ConsoleColor.Cyan,
-            ["execute"] = ConsoleColor.Green,
-        });
+    /// <value>Defaults to <see langword="false"/>.</value>
+    public bool EnablePlanningUx { get; set; }
+
+    /// <summary>
+    /// Gets or sets the name of the agent mode that activates the planning UX.
+    /// Must be set when <see cref="EnablePlanningUx"/> is <see langword="true"/>.
+    /// </summary>
+    public string? PlanningModeName { get; set; }
+
+    /// <summary>
+    /// Gets or sets the name of the agent mode to switch to when the user approves a plan.
+    /// Must be set when <see cref="EnablePlanningUx"/> is <see langword="true"/>.
+    /// </summary>
+    public string? ExecutionModeName { get; set; }

    /// <summary>
    /// Gets or sets a mapping of agent mode names to console colors.
    /// When a mode is not found in this dictionary, the default color (<see cref="ConsoleColor.Gray"/>) is used.
    /// </summary>
-    public Dictionary<string, ConsoleColor> ModeColors { get; set; } = new(DefaultModeColors, StringComparer.OrdinalIgnoreCase);
-
-    /// <summary>
-    /// Creates the default set of observers without planning support.
-    /// Includes tool call display, tool approval, error display, reasoning display,
-    /// usage display, and text output.
-    /// </summary>
-    /// <param name="maxContextWindowTokens">Optional maximum context window size in tokens for usage display.</param>
-    /// <param name="maxOutputTokens">Optional maximum output tokens for usage display.</param>
-    /// <param name="toolFormatters">Optional tool call formatters. When <see langword="null"/>,
-    /// each observer uses the default formatters from <see cref="ToolCallFormatter.BuildDefaultToolFormatters"/>.</param>
-    /// <returns>A list of observers for a standard (non-planning) console session.</returns>
-    public static List<ConsoleObserver> BuildDefaultObservers(
-        int? maxContextWindowTokens = null,
-        int? maxOutputTokens = null,
-        IReadOnlyList<ToolCallFormatter>? toolFormatters = null)
+    public Dictionary<string, ConsoleColor> ModeColors { get; set; } = new(StringComparer.OrdinalIgnoreCase)
    {
-        return
-        [
-            new ToolCallDisplayObserver(toolFormatters),
-            new ToolApprovalObserver(toolFormatters),
-            new ErrorDisplayObserver(),
-            new ReasoningDisplayObserver(),
-            new UsageDisplayObserver(maxContextWindowTokens, maxOutputTokens),
-            new TextOutputObserver(),
-        ];
-    }
-
-    /// <summary>
-    /// Creates the default set of observers with planning support.
-    /// Includes a <see cref="PlanningOutputObserver"/> instead of <see cref="TextOutputObserver"/>.
-    /// </summary>
-    /// <param name="agent">The agent, used to resolve <see cref="AgentModeProvider"/>.</param>
-    /// <param name="planModeName">The mode name that represents the planning mode.</param>
-    /// <param name="executionModeName">The mode name to switch to when the user approves a plan.</param>
-    /// <param name="modeColors">Optional mode-to-color mapping for display.
-    /// Defaults to <see cref="DefaultModeColors"/> when <see langword="null"/>.</param>
-    /// <param name="maxContextWindowTokens">Optional maximum context window size in tokens for usage display.</param>
-    /// <param name="maxOutputTokens">Optional maximum output tokens for usage display.</param>
-    /// <param name="toolFormatters">Optional tool call formatters. When <see langword="null"/>,
-    /// each observer uses the default formatters from <see cref="ToolCallFormatter.BuildDefaultToolFormatters"/>.</param>
-    /// <returns>A list of observers for a planning-enabled console session.</returns>
-    public static List<ConsoleObserver> BuildObserversWithPlanning(
-        AIAgent agent,
-        string planModeName,
-        string executionModeName,
-        IReadOnlyDictionary<string, ConsoleColor>? modeColors = null,
-        int? maxContextWindowTokens = null,
-        int? maxOutputTokens = null,
-        IReadOnlyList<ToolCallFormatter>? toolFormatters = null)
-    {
-        var modeProvider = agent.GetService<AgentModeProvider>()
-            ?? throw new InvalidOperationException("Planning requires an AgentModeProvider service on the agent.");
-
-        return
-        [
-            new ToolCallDisplayObserver(toolFormatters),
-            new ToolApprovalObserver(toolFormatters),
-            new ErrorDisplayObserver(),
-            new ReasoningDisplayObserver(),
-            new UsageDisplayObserver(maxContextWindowTokens, maxOutputTokens),
-            new PlanningOutputObserver(modeProvider, planModeName, executionModeName, modeColors ?? DefaultModeColors),
-        ];
-    }
-
-    /// <summary>
-    /// Creates the default set of command handlers.
-    /// Includes exit, todo, and mode command handlers.
-    /// </summary>
-    /// <param name="agent">The agent, used to resolve <see cref="TodoProvider"/> and <see cref="AgentModeProvider"/>.</param>
-    /// <param name="modeColors">Optional mode-to-color mapping for the mode command display.
-    /// Defaults to <see cref="DefaultModeColors"/> when <see langword="null"/>.</param>
-    /// <returns>A list of command handlers for a standard console session.</returns>
-    public static List<CommandHandler> BuildDefaultCommandHandlers(
-        AIAgent agent,
-        IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
-    {
-        var todoProvider = agent.GetService<TodoProvider>();
-        var modeProvider = agent.GetService<AgentModeProvider>();
-
-        return
-        [
-            new ExitCommandHandler(),
-            new TodoCommandHandler(todoProvider),
-            new ModeCommandHandler(modeProvider, modeColors ?? DefaultModeColors),
-        ];
-    }
+        ["plan"] = ConsoleColor.Cyan,
+        ["execute"] = ConsoleColor.Green,
+    };
 }
@@ -1,408 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveComponents;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Default <see cref="IUXStateDriver"/> implementation. Owned by
-/// <see cref="HarnessAppComponent"/>; mutates the component's state via a
-/// <c>SetState</c>-style callback. Each public operation updates state and lets
-/// the component's render-skip optimization handle the actual draw.
-/// </summary>
-internal sealed class HarnessConsoleUXStateDriver : IUXStateDriver
-{
-    private readonly Func<HarnessAppComponentState> _getState;
-    private readonly Action<HarnessAppComponentState> _setState;
-    private readonly Action _requestShutdown;
-    private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;
-    private readonly List<string> _outputItems = [];
-    private readonly object _stateLock = new();
-
-    private OutputEntryType? _lastEntryType;
-    private bool _hasReceivedAnyText;
-    private OutputEntry? _currentStreamingEntry;
-    private int _currentStreamingEntryIndex = -1;
-    private string? _currentMode;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="HarnessConsoleUXStateDriver"/> class.
-    /// </summary>
-    /// <param name="getState">Returns the component's current state.</param>
-    /// <param name="setState">Replaces the component's state and triggers a re-render.</param>
-    /// <param name="requestShutdown">Callback invoked when a command handler requests application shutdown.</param>
-    /// <param name="modeColors">Optional mapping of mode names to console colors.</param>
-    public HarnessConsoleUXStateDriver(
-        Func<HarnessAppComponentState> getState,
-        Action<HarnessAppComponentState> setState,
-        Action requestShutdown,
-        IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
-    {
-        this._getState = getState;
-        this._setState = setState;
-        this._requestShutdown = requestShutdown;
-        this._modeColors = modeColors;
-        this._currentMode = getState().ModeText;
-    }
-
-    /// <inheritdoc/>
-    public string? CurrentMode
-    {
-        get => this._currentMode;
-        set
-        {
-            this.UpdateState(s =>
-            {
-                this._currentMode = value;
-                return s with
-                {
-                    ModeColor = ModeColors.Get(value, this._modeColors),
-                    ModeText = value,
-                };
-            });
-        }
-    }
-
-    /// <inheritdoc/>
-    public void BeginStreaming() =>
-        this.UpdateState(s => s with
-        {
-            Mode = BottomPanelMode.Streaming,
-            ShowSpinner = true,
-        });
-
-    /// <inheritdoc/>
-    public void StopSpinner() =>
-        this.UpdateState(s => s with { ShowSpinner = false });
-
-    /// <inheritdoc/>
-    public void EndStreaming() =>
-        this.UpdateState(s => s with
-        {
-            Mode = BottomPanelMode.TextInput,
-            ShowSpinner = false,
-        });
-
-    /// <inheritdoc/>
-    public void BeginStreamingOutput()
-    {
-        lock (this._stateLock)
-        {
-            this._hasReceivedAnyText = false;
-            this._currentStreamingEntry = null;
-            this._currentStreamingEntryIndex = -1;
-        }
-    }
-
-    /// <inheritdoc/>
-    public void SetUsageText(string usageText) =>
-        this.UpdateState(s => s with { UsageText = usageText });
-
-    /// <inheritdoc/>
-    public void SetQueuedMessages(IReadOnlyList<ChatMessage> pending)
-    {
-        var newQueued = new List<string>(pending.Count);
-        foreach (var msg in pending)
-        {
-            string text = msg.Text ?? string.Empty;
-            newQueued.Add(RenderEntry($"  💬 {text}\n", ConsoleColor.DarkGray));
-        }
-
-        this.UpdateState(s => s with { QueuedItems = newQueued });
-    }
-
-    /// <inheritdoc/>
-    public void QueueFollowUpQuestions(IReadOnlyList<FollowUpQuestion> questions)
-    {
-        if (questions.Count == 0)
-        {
-            return;
-        }
-
-        this.UpdateState(s =>
-        {
-            bool wasEmpty = s.PendingQuestions.Count == 0;
-
-            var combined = new List<FollowUpQuestion>(s.PendingQuestions.Count + questions.Count);
-            combined.AddRange(s.PendingQuestions);
-            combined.AddRange(questions);
-
-            HarnessAppComponentState next = s with { PendingQuestions = combined };
-
-            if (wasEmpty)
-            {
-                next = this.ConfigureForHeadQuestion(next, combined[0]);
-            }
-
-            return next;
-        });
-    }
-
-    /// <inheritdoc/>
-    public void AddFollowUpResponse(ChatMessage response)
-    {
-        this.UpdateState(s =>
-        {
-            var combined = new List<ChatMessage>(s.AccumulatedFollowUpResponses.Count + 1);
-            combined.AddRange(s.AccumulatedFollowUpResponses);
-            combined.Add(response);
-            return s with { AccumulatedFollowUpResponses = combined };
-        });
-    }
-
-    /// <inheritdoc/>
-    public void AdvanceFollowUpQuestion()
-    {
-        this.UpdateState(s =>
-        {
-            if (s.PendingQuestions.Count == 0)
-            {
-                return s;
-            }
-
-            var remaining = s.PendingQuestions.Skip(1).ToList();
-            HarnessAppComponentState next = s with { PendingQuestions = remaining };
-
-            if (remaining.Count > 0)
-            {
-                return this.ConfigureForHeadQuestion(next, remaining[0]);
-            }
-
-            return next with
-            {
-                Mode = BottomPanelMode.TextInput,
-                ListSelectionOptions = [],
-                ListSelectionTitle = null,
-                ListSelectionCustomTextPlaceholder = null,
-                ListSelectionIndex = 0,
-                ListSelectionCustomInputText = "",
-            };
-        });
-    }
-
-    /// <inheritdoc/>
-    public IReadOnlyList<ChatMessage> TakeFollowUpResponses()
-    {
-        return this.UpdateState(s =>
-        {
-            IReadOnlyList<ChatMessage> responses = s.AccumulatedFollowUpResponses;
-            if (responses.Count == 0)
-            {
-                return (s, responses);
-            }
-
-            return (s with { AccumulatedFollowUpResponses = [] }, responses);
-        });
-    }
-
-    /// <summary>
-    /// Configures the bottom-panel display fields on the supplied state for the
-    /// given head question. For text questions, also writes the prompt as an
-    /// info line above the input row as a side effect.
-    /// </summary>
-    private HarnessAppComponentState ConfigureForHeadQuestion(HarnessAppComponentState state, FollowUpQuestion question)
-    {
-        if (question is ChoiceFollowUpQuestion choice)
-        {
-            return state with
-            {
-                Mode = BottomPanelMode.ListSelection,
-                ListSelectionOptions = choice.Choices.ToList(),
-                ListSelectionTitle = choice.Prompt,
-                ListSelectionCustomTextPlaceholder = choice.AllowCustomText ? "✏️  Type a custom response..." : null,
-                ListSelectionIndex = 0,
-                ListSelectionCustomInputText = "",
-            };
-        }
-
-        // Text question — prompt is rendered as an info line above the input row.
-        // We append entries and capture the scroll snapshot inline so the caller's
-        // single _setState picks up both the new output and the UI mode change.
-        ConsoleColor ruleColor = ModeColors.Get(this._currentMode, this._modeColors);
-        List<string> scrollSnapshot = this.AppendOutputEntriesAndSnapshot(
-            new OutputEntry(OutputEntryType.InfoLine, "\n", ruleColor),
-            new OutputEntry(OutputEntryType.InfoLine, $"  {question.Prompt}", ruleColor));
-
-        return state with
-        {
-            Mode = BottomPanelMode.TextInput,
-            ListSelectionOptions = [],
-            ListSelectionTitle = null,
-            ListSelectionCustomTextPlaceholder = null,
-            ListSelectionIndex = 0,
-            ListSelectionCustomInputText = "",
-            ScrollAreaContentItems = scrollSnapshot,
-        };
-    }
-
-    /// <inheritdoc/>
-    public void WriteUserInputEcho(string text)
-    {
-        this.UpdateState(s =>
-        {
-            List<string> snapshot = this.AppendOutputEntriesAndSnapshot(new OutputEntry(
-                OutputEntryType.UserInput,
-                $"\nYou: {text}\n\n",
-                ConsoleColor.Green));
-            return s with { ScrollAreaContentItems = snapshot };
-        });
-    }
-
-    /// <inheritdoc/>
-    public Task WriteInfoAsync(string text, ConsoleColor? color = null) =>
-        this.WriteInfoCoreAsync(text, color, newLine: false);
-
-    /// <inheritdoc/>
-    public Task WriteInfoLineAsync(string text, ConsoleColor? color = null) =>
-        this.WriteInfoCoreAsync(text, color, newLine: true);
-
-    private Task WriteInfoCoreAsync(string text, ConsoleColor? color, bool newLine)
-    {
-        this.UpdateState(s =>
-        {
-            // Add a blank line separator when transitioning from streaming text or user input.
-            string prefix = this._lastEntryType is OutputEntryType.StreamingText or OutputEntryType.StreamFooter
-                ? "\n  "
-                : "  ";
-
-            string fullText = newLine ? prefix + text + "\n\n" : prefix + text;
-            List<string> snapshot = this.AppendOutputEntriesAndSnapshot(new OutputEntry(
-                OutputEntryType.InfoLine,
-                fullText,
-                color ?? ModeColors.Get(this._currentMode, this._modeColors)));
-            return s with { ScrollAreaContentItems = snapshot };
-        });
-        return Task.CompletedTask;
-    }
-
-    /// <inheritdoc/>
-    public Task WriteTextAsync(string text, ConsoleColor? color = null)
-    {
-        this.UpdateState(s =>
-        {
-            this._lastEntryType = OutputEntryType.StreamingText;
-            this._hasReceivedAnyText = true;
-
-            ConsoleColor effectiveColor = color ?? ModeColors.Get(this._currentMode, this._modeColors);
-
-            if (this._currentStreamingEntry is not null
-                && this._currentStreamingEntryIndex == this._outputItems.Count - 1)
-            {
-                // The streaming entry is still the last item — safe to replace in place.
-                this._currentStreamingEntry = this._currentStreamingEntry with
-                {
-                    Text = this._currentStreamingEntry.Text + text,
-                };
-                this._outputItems[^1] = RenderEntry(this._currentStreamingEntry.Text, this._currentStreamingEntry.Color);
-            }
-            else
-            {
-                // Either the first text delta or other entries (tool calls, info lines)
-                // were appended after the previous streaming entry — start a fresh one.
-                const string Prefix = "\n";
-                this._currentStreamingEntry = new OutputEntry(OutputEntryType.StreamingText, Prefix + text, effectiveColor);
-                this._outputItems.Add(RenderEntry(this._currentStreamingEntry.Text, this._currentStreamingEntry.Color));
-                this._currentStreamingEntryIndex = this._outputItems.Count - 1;
-            }
-
-            return s with { ScrollAreaContentItems = new List<string>(this._outputItems) };
-        });
-
-        return Task.CompletedTask;
-    }
-
-    /// <inheritdoc/>
-    public Task EndStreamingOutputAsync()
-    {
-        this.UpdateState(s =>
-        {
-            if (this._hasReceivedAnyText)
-            {
-                this._outputItems.Add(RenderEntry("\n", null));
-                this._currentStreamingEntry = null;
-                this._lastEntryType = OutputEntryType.StreamFooter;
-                return s with { ScrollAreaContentItems = new List<string>(this._outputItems) };
-            }
-
-            return s;
-        });
-
-        return Task.CompletedTask;
-    }
-
-    /// <inheritdoc/>
-    public Task WriteNoTextWarningAsync(bool hasFollowUpActions)
-    {
-        if (!this._hasReceivedAnyText && !hasFollowUpActions)
-        {
-            this.UpdateState(s =>
-            {
-                List<string> snapshot = this.AppendOutputEntriesAndSnapshot(new OutputEntry(
-                    OutputEntryType.StreamFooter,
-                    "  (no text response from agent)\n",
-                    ConsoleColor.DarkYellow));
-                return s with { ScrollAreaContentItems = snapshot };
-            });
-        }
-
-        return Task.CompletedTask;
-    }
-
-    /// <summary>
-    /// Wraps the supplied text with ANSI foreground color escape sequences (or returns
-    /// the text unchanged when no color is specified). Output is appended to
-    /// <see cref="_outputItems"/> and consumed verbatim by <see cref="TextScrollPanel"/>
-    /// and <see cref="TextPanel"/>.
-    /// </summary>
-    private static string RenderEntry(string text, ConsoleColor? color) =>
-        color.HasValue
-            ? $"{AnsiEscapes.SetForegroundColor(color.Value)}{text}{AnsiEscapes.ResetAttributes}"
-            : text;
-
-    private void UpdateState(Func<HarnessAppComponentState, HarnessAppComponentState> update)
-    {
-        lock (this._stateLock)
-        {
-            this._setState(update(this._getState()));
-        }
-    }
-
-    private T UpdateState<T>(Func<HarnessAppComponentState, (HarnessAppComponentState State, T Result)> update)
-    {
-        lock (this._stateLock)
-        {
-            var (newState, result) = update(this._getState());
-            this._setState(newState);
-            return result;
-        }
-    }
-
-    /// <summary>
-    /// Appends one or more output entries to the output list, updates
-    /// <see cref="_lastEntryType"/> to the last entry's type, and returns a
-    /// snapshot of <see cref="_outputItems"/>. Must be called inside a locked
-    /// context (e.g. within an <see cref="UpdateState"/> callback).
-    /// </summary>
-    private List<string> AppendOutputEntriesAndSnapshot(params OutputEntry[] entries)
-    {
-        this.AppendOutputEntriesCore(entries);
-        return new List<string>(this._outputItems);
-    }
-
-    private void AppendOutputEntriesCore(OutputEntry[] entries)
-    {
-        foreach (OutputEntry entry in entries)
-        {
-            this._outputItems.Add(RenderEntry(entry.Text, entry.Color));
-        }
-
-        if (entries.Length > 0)
-        {
-            this._lastEntryType = entries[^1].Type;
-        }
-    }
-
-    /// <inheritdoc/>
-    public void RequestShutdown() => this._requestShutdown();
-}
@@ -7,10 +7,12 @@
    <ImplicitUsings>enable</ImplicitUsings>
  </PropertyGroup>

+  <ItemGroup>
+    <PackageReference Include="Spectre.Console" />
+  </ItemGroup>
+
  <ItemGroup>
    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
-    <ProjectReference Include="..\ConsoleReactiveFramework\ConsoleReactiveFramework.csproj" />
-    <ProjectReference Include="..\ConsoleReactiveComponents\ConsoleReactiveComponents.csproj" />
  </ItemGroup>

 </Project>
@@ -1,120 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Abstraction over the harness UI state. All callers (observers, command handlers,
-/// the agent runner) interact with the UI exclusively through this interface, which
-/// internally translates each operation into a <c>SetState</c> call on the underlying
-/// reactive component.
-/// </summary>
-/// <remarks>
-/// This interface is intentionally narrow: it does not expose blocking input methods.
-/// The agent runner orchestrates input flow via <see cref="FollowUpQuestion"/>
-/// objects returned from observers.
-/// </remarks>
-public interface IUXStateDriver
-{
-    /// <summary>
-    /// Gets or sets the current agent mode (e.g. "plan", "execute"). Setting also
-    /// refreshes the rule colour and bottom-panel prompt to match the new mode.
-    /// </summary>
-    string? CurrentMode { get; set; }
-
-    /// <summary>
-    /// Echoes a submitted user input as a regular user-input entry in the output area.
-    /// </summary>
-    void WriteUserInputEcho(string text);
-
-    /// <summary>
-    /// Writes informational output as an output entry, without a trailing newline.
-    /// </summary>
-    Task WriteInfoAsync(string text, ConsoleColor? color = null);
-
-    /// <summary>
-    /// Writes informational output as an output entry, followed by a newline.
-    /// </summary>
-    Task WriteInfoLineAsync(string text, ConsoleColor? color = null);
-
-    /// <summary>
-    /// Writes streaming text output from the agent. Successive calls accumulate into a
-    /// single streaming entry that is re-rendered by the text panel.
-    /// </summary>
-    Task WriteTextAsync(string text, ConsoleColor? color = null);
-
-    /// <summary>
-    /// Writes a blank-line separator to visually close the streaming output section.
-    /// </summary>
-    Task EndStreamingOutputAsync();
-
-    /// <summary>
-    /// Shows a "(no text response from agent)" warning if no text was received
-    /// and no observer produced follow-up actions.
-    /// </summary>
-    Task WriteNoTextWarningAsync(bool hasFollowUpActions);
-
-    /// <summary>
-    /// Switches the bottom panel to streaming mode and starts the spinner.
-    /// </summary>
-    void BeginStreaming();
-
-    /// <summary>
-    /// Stops the spinner without leaving streaming mode.
-    /// </summary>
-    void StopSpinner();
-
-    /// <summary>
-    /// Switches the bottom panel back to text-input mode and stops the spinner.
-    /// </summary>
-    void EndStreaming();
-
-    /// <summary>
-    /// Resets per-turn streaming bookkeeping in preparation for a new agent turn.
-    /// </summary>
-    void BeginStreamingOutput();
-
-    /// <summary>
-    /// Sets the formatted usage text shown on the agent status bar.
-    /// </summary>
-    void SetUsageText(string usageText);
-
-    /// <summary>
-    /// Replaces the queued-message display with one entry per pending message.
-    /// </summary>
-    void SetQueuedMessages(IReadOnlyList<ChatMessage> pending);
-
-    /// <summary>
-    /// Appends the supplied questions to the pending follow-up question queue in
-    /// component state. If the queue was empty, the bottom-panel display is
-    /// reconfigured to present the new head question.
-    /// </summary>
-    void QueueFollowUpQuestions(IReadOnlyList<FollowUpQuestion> questions);
-
-    /// <summary>
-    /// Appends a message to the accumulated follow-up response list in component state.
-    /// Called by the runner for direct <see cref="FollowUpMessage"/> outputs and by
-    /// the component when a question's continuation produces a response.
-    /// </summary>
-    void AddFollowUpResponse(ChatMessage response);
-
-    /// <summary>
-    /// Pops the head of the pending follow-up question queue. Reconfigures the
-    /// bottom-panel display for the new head, or restores the default text-input
-    /// mode if the queue is now empty.
-    /// </summary>
-    void AdvanceFollowUpQuestion();
-
-    /// <summary>
-    /// Returns the current accumulated follow-up responses and clears them in state.
-    /// Called by the runner immediately before invoking the next agent turn.
-    /// </summary>
-    IReadOnlyList<ChatMessage> TakeFollowUpResponses();
-
-    /// <summary>
-    /// Signals that the application should shut down. Completes the shutdown task
-    /// on the owning component.
-    /// </summary>
-    void RequestShutdown();
-}
@@ -1,31 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Helpers for resolving console colours associated with agent modes.
-/// </summary>
-internal static class ModeColors
-{
-    /// <summary>
-    /// Gets the console color associated with a mode name, using the provided color map.
-    /// Falls back to <see cref="ConsoleColor.Gray"/> when the mode is <see langword="null"/>
-    /// or not present in the map.
-    /// </summary>
-    /// <param name="mode">The mode name, or <see langword="null"/> if no mode is active.</param>
-    /// <param name="modeColors">Optional mapping of mode names to console colors.</param>
-    public static ConsoleColor Get(string? mode, IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
-    {
-        if (mode is null)
-        {
-            return ConsoleColor.Gray;
-        }
-
-        if (modeColors is not null && modeColors.TryGetValue(mode, out var color))
-        {
-            return color;
-        }
-
-        return ConsoleColor.Gray;
-    }
-}
@@ -18,41 +18,36 @@ public abstract class ConsoleObserver
    /// Override to set options such as <see cref="AgentRunOptions.ResponseFormat"/>.
    /// </summary>
    /// <param name="options">The run options to configure.</param>
-    /// <param name="agent">The agent being interacted with.</param>
-    /// <param name="session">The current agent session.</param>
-    public virtual void ConfigureRunOptions(AgentRunOptions options, AIAgent agent, AgentSession session)
+    public virtual void ConfigureRunOptions(AgentRunOptions options)
    {
    }

    /// <summary>
    /// Called for each <see cref="AIContent"/> item in the response stream.
    /// </summary>
-    /// <param name="ux">The UX state driver, used for rendering output.</param>
+    /// <param name="writer">The console writer for rendering output.</param>
    /// <param name="content">The content item from the stream.</param>
-    /// <param name="agent">The agent being interacted with.</param>
-    /// <param name="session">The current agent session.</param>
-    public virtual Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session) => Task.CompletedTask;
+    public virtual Task OnContentAsync(ConsoleWriter writer, AIContent content) => Task.CompletedTask;

    /// <summary>
    /// Called for each text update in the response stream.
    /// </summary>
-    /// <param name="ux">The UX state driver, used for rendering output.</param>
+    /// <param name="writer">The console writer for rendering output.</param>
    /// <param name="text">The text from the update.</param>
-    /// <param name="agent">The agent being interacted with.</param>
-    /// <param name="session">The current agent session.</param>
-    public virtual Task OnTextAsync(IUXStateDriver ux, string text, AIAgent agent, AgentSession session) => Task.CompletedTask;
+    public virtual Task OnTextAsync(ConsoleWriter writer, string text) => Task.CompletedTask;

    /// <summary>
-    /// Called after the response stream completes. Returns a heterogeneous list of
-    /// follow-up actions (questions to ask the user, and/or messages to add directly to
-    /// the next agent invocation), or <see langword="null"/> if no follow-up is needed.
+    /// Called after the response stream completes. Returns messages to include in the
+    /// next agent invocation, or <see langword="null"/> if no re-invocation is needed.
    /// </summary>
-    /// <param name="ux">The UX state driver, used for rendering output.</param>
+    /// <param name="writer">The console writer for rendering output.</param>
    /// <param name="agent">The agent being interacted with.</param>
    /// <param name="session">The current agent session.</param>
-    /// <returns>Follow-up actions to process after the stream completes, or <see langword="null"/>.</returns>
-    public virtual Task<IList<FollowUpAction>?> OnStreamCompleteAsync(
-        IUXStateDriver ux,
+    /// <param name="options">The console options.</param>
+    /// <returns>Messages to send to the agent, or <see langword="null"/> if no action is needed.</returns>
+    public virtual Task<IList<ChatMessage>?> OnStreamCompleteAsync(
+        ConsoleWriter writer,
        AIAgent agent,
-        AgentSession session) => Task.FromResult<IList<FollowUpAction>?>(null);
+        AgentSession session,
+        HarnessConsoleOptions options) => Task.FromResult<IList<ChatMessage>?>(null);
 }
@@ -1,6 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;

 namespace Harness.Shared.Console.Observers;
@@ -8,10 +7,10 @@ namespace Harness.Shared.Console.Observers;
 /// <summary>
 /// Displays error content (❌) from the response stream.
 /// </summary>
-public sealed class ErrorDisplayObserver : ConsoleObserver
+internal sealed class ErrorDisplayObserver : ConsoleObserver
 {
    /// <inheritdoc/>
-    public override async Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
+    public override async Task OnContentAsync(ConsoleWriter writer, AIContent content)
    {
        if (content is ErrorContent errorContent)
        {
@@ -26,7 +25,7 @@ public sealed class ErrorDisplayObserver : ConsoleObserver
                errorText += $" details: {errorContent.Details}";
            }

-            await ux.WriteInfoLineAsync(errorText, ConsoleColor.Red);
+            await writer.WriteInfoLineAsync(errorText, ConsoleColor.Red);
        }
    }
 }
@@ -2,77 +2,51 @@

 using System.Text;
 using System.Text.Json;
-using Harness.ConsoleReactiveComponents;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;

 namespace Harness.Shared.Console.Observers;

 /// <summary>
-/// Planning observer that is mode-aware: in planning mode it configures structured
-/// JSON output, collects streamed text, and deserializes it as a <see cref="PlanningResponse"/>;
-/// in execution mode it passes text straight through to <see cref="IUXStateDriver.WriteTextAsync"/>
-/// for live streaming display.
+/// Planning observer that configures structured output, collects streamed text,
+/// and deserializes it as a <see cref="PlanningResponse"/>. Renders clarification
+/// questions and approval prompts, and manages mode switching when the user approves a plan.
 /// </summary>
-public sealed class PlanningOutputObserver : ConsoleObserver
+internal sealed class PlanningOutputObserver : ConsoleObserver
 {
    private readonly StringBuilder _textCollector = new();
    private readonly AgentModeProvider _modeProvider;
-    private readonly string _planModeName;
-    private readonly string _executionModeName;
-    private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;

    /// <summary>
    /// Initializes a new instance of the <see cref="PlanningOutputObserver"/> class.
    /// </summary>
    /// <param name="modeProvider">The mode provider for switching modes on approval.</param>
-    /// <param name="planModeName">The mode name that represents the planning mode.</param>
-    /// <param name="executionModeName">The mode name to switch to when the user approves a plan.</param>
-    /// <param name="modeColors">Optional mode-to-color mapping for display.</param>
-    public PlanningOutputObserver(AgentModeProvider modeProvider, string planModeName, string executionModeName, IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
+    public PlanningOutputObserver(AgentModeProvider modeProvider)
    {
        this._modeProvider = modeProvider;
-        this._planModeName = planModeName;
-        this._executionModeName = executionModeName;
-        this._modeColors = modeColors;
    }

    /// <inheritdoc/>
-    public override void ConfigureRunOptions(AgentRunOptions options, AIAgent agent, AgentSession session)
+    public override void ConfigureRunOptions(AgentRunOptions options)
    {
-        if (this.IsPlanningMode(this._modeProvider.GetMode(session)))
-        {
-            options.ResponseFormat = ChatResponseFormat.ForJsonSchema<PlanningResponse>();
-        }
+        options.ResponseFormat = ChatResponseFormat.ForJsonSchema<PlanningResponse>();
    }

    /// <inheritdoc/>
-    public override Task OnTextAsync(IUXStateDriver ux, string text, AIAgent agent, AgentSession session)
+    public override Task OnTextAsync(ConsoleWriter writer, string text)
    {
-        if (this.IsPlanningMode(ux.CurrentMode))
-        {
-            // Planning mode: collect text silently for JSON parsing after the stream.
-            this._textCollector.Append(text);
-            return Task.CompletedTask;
-        }
-
-        // Execution mode: stream text directly to the console.
-        return ux.WriteTextAsync(text);
+        // Collect text silently instead of displaying it.
+        this._textCollector.Append(text);
+        return Task.CompletedTask;
    }

    /// <inheritdoc/>
-    public override async Task<IList<FollowUpAction>?> OnStreamCompleteAsync(
-        IUXStateDriver ux,
+    public override async Task<IList<ChatMessage>?> OnStreamCompleteAsync(
+        ConsoleWriter writer,
        AIAgent agent,
-        AgentSession session)
+        AgentSession session,
+        HarnessConsoleOptions options)
    {
-        if (!this.IsPlanningMode(ux.CurrentMode))
-        {
-            // Execution mode: text was already streamed live; nothing to parse.
-            this._textCollector.Clear();
-            return null;
-        }
-
        // Read collected text from our stream observation.
        string collectedText = this._textCollector.ToString();
        this._textCollector.Clear();
@@ -90,20 +64,21 @@ public sealed class PlanningOutputObserver : ConsoleObserver
        }
        catch (JsonException ex)
        {
-            await ux.WriteInfoLineAsync($"❌ Failed to parse planning response: {ex.Message}", ConsoleColor.Red);
-            await ux.WriteInfoLineAsync($"(raw response) {collectedText}", ConsoleColor.DarkYellow);
+            await writer.WriteInfoLineAsync($"❌ Failed to parse planning response: {ex.Message}", ConsoleColor.Red);
+            await writer.WriteInfoLineAsync($"(raw response) {collectedText}", ConsoleColor.DarkYellow);
            return null;
        }

        if (planningResponse is null)
        {
-            await ux.WriteInfoLineAsync("(no structured response from agent)", ConsoleColor.DarkYellow);
+            await writer.WriteInfoLineAsync("(no structured response from agent)", ConsoleColor.DarkYellow);
            return null;
        }

+        // Render based on response type.
        if (planningResponse.Type == PlanningResponseType.Clarification)
        {
-            return BuildClarificationActions(planningResponse);
+            return AsUserMessages(await this.RenderClarificationsAndCollectResponsesAsync(writer, planningResponse));
        }

        if (planningResponse.Type == PlanningResponseType.Approval)
@@ -111,91 +86,92 @@ public sealed class PlanningOutputObserver : ConsoleObserver
            var question = planningResponse.Questions.FirstOrDefault();
            if (question is null)
            {
-                await ux.WriteInfoLineAsync("(approval response had no content)", ConsoleColor.DarkYellow);
+                await writer.WriteInfoLineAsync("(approval response had no content)", ConsoleColor.DarkYellow);
                return null;
            }

-            return new List<FollowUpAction> { this.BuildApprovalAction(question, session) };
+            string response = await this.RenderApprovalAndCollectResponseAsync(writer, question, options);
+            if (response == "Approved")
+            {
+                this._modeProvider.SetMode(session, options.ExecutionModeName!);
+
+                await writer.WriteInfoLineAsync($"✅ Switched to {options.ExecutionModeName} mode.",
+                    ConsoleWriter.GetModeColor(options.ExecutionModeName, options.ModeColors));
+            }
+
+            return AsUserMessages(response);
        }

-        await ux.WriteInfoLineAsync($"(unexpected response type: {planningResponse.Type})", ConsoleColor.DarkYellow);
+        await writer.WriteInfoLineAsync($"(unexpected response type: {planningResponse.Type})", ConsoleColor.DarkYellow);
        return null;
    }

-    private static List<FollowUpAction> BuildClarificationActions(PlanningResponse response)
+    private static IList<ChatMessage>? AsUserMessages(string? text) =>
+        text is not null ? [new ChatMessage(ChatRole.User, text)] : null;
+
+    private async Task<string?> RenderClarificationsAndCollectResponsesAsync(ConsoleWriter writer, PlanningResponse response)
    {
-        var actions = new List<FollowUpAction>(response.Questions.Count);
+        var answers = new List<string>();

        foreach (var question in response.Questions)
        {
-            string prompt = question.Message;
-
-            async Task<ChatMessage?> Continuation(string answer, IUXStateDriver ux)
-            {
-                if (string.IsNullOrWhiteSpace(answer))
-                {
-                    string noAnswer = $"🔹 {prompt}\n   └─ {AnsiEscapes.SetForegroundColor(ConsoleColor.DarkGray)}(no answer){AnsiEscapes.ResetAttributes}";
-                    await ux.WriteInfoLineAsync(noAnswer, ConsoleColor.Gray).ConfigureAwait(false);
-                    return null;
-                }
-
-                string formatted = $"🔹 {prompt}\n   └─ {AnsiEscapes.SetForegroundColor(ConsoleColor.Green)}{answer}{AnsiEscapes.ResetAttributes}";
-                await ux.WriteInfoLineAsync(formatted, ConsoleColor.Gray).ConfigureAwait(false);
-
-                return new ChatMessage(ChatRole.User, $"Q: {prompt}\nA: {answer}");
-            }
+            await writer.WriteInfoLineAsync(string.Empty);
+            await writer.WriteInfoLineAsync(question.Message);

+            string? answer;
            if (question.Choices is { Count: > 0 })
            {
-                actions.Add(new ChoiceFollowUpQuestion(
-                    Prompt: prompt,
-                    Choices: question.Choices,
-                    AllowCustomText: true,
-                    Continuation: Continuation));
+                answer = await writer.ReadSelectionAsync(
+                    "Choose an option:",
+                    question.Choices);
            }
            else
            {
-                actions.Add(new TextFollowUpQuestion(
-                    Prompt: prompt,
-                    Continuation: Continuation));
+                answer = (await writer.ReadLineAsync("Response: "))?.Trim();
+            }
+
+            if (!string.IsNullOrWhiteSpace(answer))
+            {
+                answers.Add($"Q: {question.Message}\nA: {answer}");
            }
        }

-        return actions;
+        return answers.Count > 0 ? string.Join("\n\n", answers) : null;
    }

-    private ChoiceFollowUpQuestion BuildApprovalAction(PlanningQuestion question, AgentSession session)
+    private async Task<string> RenderApprovalAndCollectResponseAsync(ConsoleWriter writer, PlanningQuestion question, HarnessConsoleOptions options)
    {
-        const string ApproveOption = "Approve and switch to execute mode";
-        var choices = new List<string> { ApproveOption };
+        await writer.WriteInfoLineAsync(question.Message);

-        return new ChoiceFollowUpQuestion(
-            Prompt: question.Message,
-            Choices: choices,
-            AllowCustomText: true,
-            Continuation: async (selection, ux) =>
+        var choices = new List<string>
+        {
+            "Approve and switch to execute mode",
+            "Suggest changes",
+        };
+
+        string selection = await writer.ReadSelectionAsync("What would you like to do?", choices);
+
+        if (selection == choices[0])
+        {
+            return "Approved";
+        }
+
+        if (selection == choices[1])
+        {
+            string? feedback = await writer.ReadLineAsync(
+                "Your feedback: ",
+                ConsoleWriter.GetModeColor(options.PlanningModeName, options.ModeColors));
+
+            if (string.IsNullOrWhiteSpace(feedback))
            {
-                string formatted = $"🔹 {question.Message}\n   └─ {AnsiEscapes.SetForegroundColor(ConsoleColor.Green)}{selection}{AnsiEscapes.ResetAttributes}";
-                await ux.WriteInfoLineAsync(formatted, ConsoleColor.Gray).ConfigureAwait(false);
+                // Treat empty feedback as no changes — re-prompt the agent with the plan.
+                return "No changes suggested. Please re-present the plan for approval.";
+            }

-                if (selection == ApproveOption)
-                {
-                    this._modeProvider.SetMode(session, this._executionModeName);
-                    await ux.WriteInfoLineAsync(
-                        $"✅ Switched to {this._executionModeName} mode.",
-                        ModeColors.Get(this._executionModeName, this._modeColors)).ConfigureAwait(false);
-                    return new ChatMessage(ChatRole.User, "Approved");
-                }
+            return feedback;
+        }

-                // Custom freeform input — treat as suggested changes.
-                return new ChatMessage(ChatRole.User, selection);
-            });
+        // Custom freeform input — treat as suggested changes.
+        return selection;
    }
-
-    /// <summary>
-    /// Returns <see langword="true"/> when the current mode matches the configured plan mode name.
-    /// A <see langword="null"/> mode (no mode provider) is also treated as planning mode.
-    /// </summary>
-    private bool IsPlanningMode(string? currentMode) =>
-        currentMode is null || string.Equals(currentMode, this._planModeName, StringComparison.OrdinalIgnoreCase);
 }
@@ -1,6 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;

 namespace Harness.Shared.Console.Observers;
@@ -8,14 +7,14 @@ namespace Harness.Shared.Console.Observers;
 /// <summary>
 /// Displays reasoning content in dark magenta from the response stream.
 /// </summary>
-public sealed class ReasoningDisplayObserver : ConsoleObserver
+internal sealed class ReasoningDisplayObserver : ConsoleObserver
 {
    /// <inheritdoc/>
-    public override async Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
+    public override async Task OnContentAsync(ConsoleWriter writer, AIContent content)
    {
        if (content is TextReasoningContent reasoning && !string.IsNullOrEmpty(reasoning.Text))
        {
-            await ux.WriteTextAsync(reasoning.Text, ConsoleColor.DarkMagenta);
+            await writer.WriteTextAsync(reasoning.Text, ConsoleColor.DarkMagenta);
        }
    }
 }
@@ -1,18 +1,16 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Microsoft.Agents.AI;
-
 namespace Harness.Shared.Console.Observers;

 /// <summary>
 /// Streams agent text output directly to the console.
 /// Used in normal (non-planning) mode.
 /// </summary>
-public sealed class TextOutputObserver : ConsoleObserver
+internal sealed class TextOutputObserver : ConsoleObserver
 {
    /// <inheritdoc/>
-    public override async Task OnTextAsync(IUXStateDriver ux, string text, AIAgent agent, AgentSession session)
+    public override async Task OnTextAsync(ConsoleWriter writer, string text)
    {
-        await ux.WriteTextAsync(text);
+        await writer.WriteTextAsync(text);
    }
 }
@@ -1,7 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Harness.ConsoleReactiveComponents;
-using Harness.Shared.Console.ToolFormatters;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;

@@ -9,103 +7,86 @@ namespace Harness.Shared.Console.Observers;

 /// <summary>
 /// Collects <see cref="ToolApprovalRequestContent"/> items during the response stream,
-/// displays approval-needed notifications inline, and after the stream completes returns
-/// one <see cref="ChoiceFollowUpQuestion"/> per pending approval request. Each question's
-/// continuation produces a separate <see cref="ChatMessage"/> carrying the approval
-/// response content.
+/// displays approval-needed notifications inline, and prompts the user for approval
+/// decisions after the stream completes.
 /// </summary>
-public sealed class ToolApprovalObserver : ConsoleObserver
+internal sealed class ToolApprovalObserver : ConsoleObserver
 {
    private readonly List<ToolApprovalRequestContent> _approvalRequests = [];
-    private readonly IReadOnlyList<ToolCallFormatter> _formatters;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="ToolApprovalObserver"/> class.
-    /// </summary>
-    /// <param name="formatters">Optional list of tool formatters. When <see langword="null"/>,
-    /// the default formatters from <see cref="ToolCallFormatter.BuildDefaultToolFormatters"/> are used.</param>
-    public ToolApprovalObserver(IReadOnlyList<ToolCallFormatter>? formatters = null)
-    {
-        this._formatters = formatters ?? ToolCallFormatter.BuildDefaultToolFormatters();
-    }

    /// <inheritdoc/>
-    public override async Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
+    public override async Task OnContentAsync(ConsoleWriter writer, AIContent content)
    {
        if (content is ToolApprovalRequestContent approvalRequest)
        {
            this._approvalRequests.Add(approvalRequest);
            string toolName = approvalRequest.ToolCall is FunctionCallContent fc
-                ? ToolCallFormatter.Format(this._formatters, fc)
+                ? ToolCallFormatter.Format(fc)
                : approvalRequest.ToolCall?.ToString() ?? "unknown";
-            await ux.WriteInfoLineAsync($"⚠️ Approval needed: {toolName}", ConsoleColor.Yellow);
+            await writer.WriteInfoLineAsync($"⚠️ Approval needed: {toolName}", ConsoleColor.Yellow);
        }
    }

    /// <inheritdoc/>
-    public override Task<IList<FollowUpAction>?> OnStreamCompleteAsync(
-        IUXStateDriver ux,
+    public override async Task<IList<ChatMessage>?> OnStreamCompleteAsync(
+        ConsoleWriter writer,
        AIAgent agent,
-        AgentSession session)
+        AgentSession session,
+        HarnessConsoleOptions options)
    {
        if (this._approvalRequests.Count == 0)
        {
-            return Task.FromResult<IList<FollowUpAction>?>(null);
-        }
-
-        var actions = new List<FollowUpAction>(this._approvalRequests.Count);
-        foreach (var request in this._approvalRequests)
-        {
-            actions.Add(this.BuildApprovalQuestion(request));
+            return null;
        }

+        var messages = await PromptForApprovalsAsync(writer, this._approvalRequests);
        this._approvalRequests.Clear();
-        return Task.FromResult<IList<FollowUpAction>?>(actions);
+        return messages;
    }

-    private ChoiceFollowUpQuestion BuildApprovalQuestion(ToolApprovalRequestContent request)
+    private static async Task<List<ChatMessage>?> PromptForApprovalsAsync(ConsoleWriter writer, List<ToolApprovalRequestContent> approvalRequests)
    {
-        string toolName = request.ToolCall is FunctionCallContent fc
-            ? ToolCallFormatter.Format(this._formatters, fc)
-            : request.ToolCall?.ToString() ?? "unknown";
-
-        var choices = new List<string>
+        if (approvalRequests.Count == 0)
        {
-            "Approve this call",
-            "Always approve this tool (any arguments)",
-            "Always approve this tool with these arguments",
-            "Deny",
-        };
+            return null;
+        }

-        string prompt = $"🔐 Tool approval: {toolName}";
+        var responses = new List<AIContent>();
+        foreach (var request in approvalRequests)
+        {
+            string toolName = request.ToolCall is FunctionCallContent fc
+                ? ToolCallFormatter.Format(fc)
+                : request.ToolCall?.ToString() ?? "unknown";

-        return new ChoiceFollowUpQuestion(
-            Prompt: prompt,
-            Choices: choices,
-            AllowCustomText: false,
-            Continuation: async (selection, ux) =>
+            var choices = new List<string>
            {
-                AIContent response = selection switch
-                {
-                    "Always approve this tool (any arguments)" => request.CreateAlwaysApproveToolResponse("User chose to always approve this tool"),
-                    "Always approve this tool with these arguments" => request.CreateAlwaysApproveToolWithArgumentsResponse("User chose to always approve this tool with these arguments"),
-                    "Deny" => request.CreateResponse(approved: false, reason: "User denied"),
-                    _ => request.CreateResponse(approved: true, reason: "User approved"),
-                };
+                "Approve this call",
+                "Always approve this tool (any arguments)",
+                "Always approve this tool with these arguments",
+                "Deny",
+            };

-                string action = selection switch
-                {
-                    "Always approve this tool (any arguments)" => "✅ Always approved (any args)",
-                    "Always approve this tool with these arguments" => "✅ Always approved (these args)",
-                    "Deny" => "❌ Denied",
-                    _ => "✅ Approved",
-                };
+            string selection = await writer.ReadSelectionAsync($"🔐 Tool approval: {toolName}", choices);
+            AIContent response = selection switch
+            {
+                "Always approve this tool (any arguments)" => request.CreateAlwaysApproveToolResponse("User chose to always approve this tool"),
+                "Always approve this tool with these arguments" => request.CreateAlwaysApproveToolWithArgumentsResponse("User chose to always approve this tool with these arguments"),
+                "Deny" => request.CreateResponse(approved: false, reason: "User denied"),
+                _ => request.CreateResponse(approved: true, reason: "User approved"),
+            };

-                ConsoleColor answerColor = selection == "Deny" ? ConsoleColor.Red : ConsoleColor.Green;
-                string formatted = $"🔹 {prompt}\n   └─ {AnsiEscapes.SetForegroundColor(answerColor)}{action}{AnsiEscapes.ResetAttributes}";
-                await ux.WriteInfoLineAsync(formatted, ConsoleColor.Gray).ConfigureAwait(false);
+            string action = selection switch
+            {
+                "Always approve this tool (any arguments)" => "✅ Always approved (any args)",
+                "Always approve this tool with these arguments" => "✅ Always approved (these args)",
+                "Deny" => "❌ Denied",
+                _ => "✅ Approved",
+            };
+            await writer.WriteInfoLineAsync($"   {action}", ConsoleColor.DarkGray);

-                return new ChatMessage(ChatRole.User, [response]);
-            });
+            responses.Add(response);
+        }
+
+        return [new ChatMessage(ChatRole.User, responses)];
    }
 }
@@ -1,7 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Harness.Shared.Console.ToolFormatters;
-using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;

 namespace Harness.Shared.Console.Observers;
@@ -10,30 +8,18 @@ namespace Harness.Shared.Console.Observers;
 /// Displays tool call notifications (🔧) for <see cref="FunctionCallContent"/>
 /// and <see cref="ToolCallContent"/> items in the response stream.
 /// </summary>
-public sealed class ToolCallDisplayObserver : ConsoleObserver
+internal sealed class ToolCallDisplayObserver : ConsoleObserver
 {
-    private readonly IReadOnlyList<ToolCallFormatter> _formatters;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="ToolCallDisplayObserver"/> class.
-    /// </summary>
-    /// <param name="formatters">Optional list of tool formatters. When <see langword="null"/>,
-    /// the default formatters from <see cref="ToolCallFormatter.BuildDefaultToolFormatters"/> are used.</param>
-    public ToolCallDisplayObserver(IReadOnlyList<ToolCallFormatter>? formatters = null)
-    {
-        this._formatters = formatters ?? ToolCallFormatter.BuildDefaultToolFormatters();
-    }
-
    /// <inheritdoc/>
-    public override async Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
+    public override async Task OnContentAsync(ConsoleWriter writer, AIContent content)
    {
        if (content is FunctionCallContent functionCall)
        {
-            await ux.WriteInfoLineAsync($"🔧 Calling tool: {ToolCallFormatter.Format(this._formatters, functionCall)}...", ConsoleColor.DarkYellow);
+            await writer.WriteInfoLineAsync($"🔧 Calling tool: {ToolCallFormatter.Format(functionCall)}...", ConsoleColor.DarkYellow);
        }
        else if (content is ToolCallContent toolCall)
        {
-            await ux.WriteInfoLineAsync($"🔧 Calling tool: {toolCall}...", ConsoleColor.DarkYellow);
+            await writer.WriteInfoLineAsync($"🔧 Calling tool: {toolCall}...", ConsoleColor.DarkYellow);
        }
    }
 }
@@ -0,0 +1,288 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text;
+using System.Text.Json;
+using Microsoft.Extensions.AI;
+
+namespace Harness.Shared.Console.Observers;
+
+/// <summary>
+/// Formats <see cref="FunctionCallContent"/> instances into human-readable strings
+/// for console display.
+/// </summary>
+public static class ToolCallFormatter
+{
+    /// <summary>
+    /// Returns a formatted string for the given tool call, with human-readable
+    /// details for known tools (todos, mode, sub-agents, web tools).
+    /// </summary>
+    /// <param name="call">The function call content to format.</param>
+    /// <returns>A formatted string describing the tool call.</returns>
+    public static string Format(FunctionCallContent call)
+    {
+        string? detail = call.Name switch
+        {
+            // Todo tools
+            "TodoList_Add" => FormatAddTodos(call),
+            "TodoList_Complete" => FormatIdList(call, "ids", "Complete"),
+            "TodoList_Remove" => FormatIdList(call, "ids", "Remove"),
+            "TodoList_GetRemaining" => null,
+            "TodoList_GetAll" => null,
+
+            // Mode tools
+            "AgentMode_Set" => FormatStringArg(call, "mode"),
+            "AgentMode_Get" => null,
+
+            // Sub-agent tools
+            "SubAgents_StartTask" => FormatStartSubTask(call),
+            "SubAgents_WaitForFirstCompletion" => FormatIdList(call, "taskIds", "Wait for"),
+            "SubAgents_GetTaskResults" => FormatSingleId(call, "taskId"),
+            "SubAgents_GetAllTasks" => null,
+            "SubAgents_ContinueTask" => FormatContinueTask(call),
+            "SubAgents_ClearCompletedTask" => FormatSingleId(call, "taskId"),
+
+            // File memory tools
+            "FileMemory_SaveFile" => FormatSaveFile(call),
+            "FileMemory_ReadFile" => FormatStringArg(call, "fileName"),
+            "FileMemory_DeleteFile" => FormatStringArg(call, "fileName"),
+            "FileMemory_ListFiles" => null,
+            "FileMemory_SearchFiles" => FormatSearchFiles(call),
+
+            // External tools
+            "web_search" => FormatStringArg(call, "query"),
+            "DownloadUri" => FormatStringArg(call, "uri"),
+
+            _ => FormatFallback(call),
+        };
+
+        return detail is not null ? $"{call.Name} {detail}" : call.Name;
+    }
+
+    private static string? FormatAddTodos(FunctionCallContent call)
+    {
+        if (call.Arguments?.TryGetValue("todos", out object? todosObj) != true || todosObj is null)
+        {
+            return null;
+        }
+
+        var titles = new List<string>();
+
+        if (todosObj is JsonElement jsonArray && jsonArray.ValueKind == JsonValueKind.Array)
+        {
+            foreach (JsonElement item in jsonArray.EnumerateArray())
+            {
+                string? title = item.TryGetProperty("title", out JsonElement titleElement)
+                    ? titleElement.GetString()
+                    : null;
+
+                if (!string.IsNullOrEmpty(title))
+                {
+                    titles.Add(title);
+                }
+            }
+        }
+
+        if (titles.Count == 0)
+        {
+            return null;
+        }
+
+        var sb = new StringBuilder();
+        sb.Append($"({titles.Count} item{(titles.Count == 1 ? "" : "s")})");
+        foreach (string title in titles)
+        {
+            sb.Append($"\n    • {title}");
+        }
+
+        return sb.ToString();
+    }
+
+    private static string? FormatIdList(FunctionCallContent call, string paramName, string verb)
+    {
+        List<int>? ids = GetIntList(call, paramName);
+        if (ids is null || ids.Count == 0)
+        {
+            return null;
+        }
+
+        return $"({verb} #{string.Join(", #", ids)})";
+    }
+
+    private static string? FormatSingleId(FunctionCallContent call, string paramName)
+    {
+        int? id = GetInt(call, paramName);
+        return id.HasValue ? $"(task #{id.Value})" : null;
+    }
+
+    private static string? FormatStartSubTask(FunctionCallContent call)
+    {
+        string? agentName = GetString(call, "agentName");
+        string? description = GetString(call, "description");
+
+        if (agentName is null && description is null)
+        {
+            return null;
+        }
+
+        var sb = new StringBuilder("(");
+        if (agentName is not null)
+        {
+            sb.Append($"agent: {agentName}");
+        }
+
+        if (description is not null)
+        {
+            if (agentName is not null)
+            {
+                sb.Append(", ");
+            }
+
+            sb.Append($"\"{Truncate(description, 60)}\"");
+        }
+
+        sb.Append(')');
+        return sb.ToString();
+    }
+
+    private static string? FormatContinueTask(FunctionCallContent call)
+    {
+        int? taskId = GetInt(call, "taskId");
+        string? text = GetString(call, "text");
+
+        if (!taskId.HasValue)
+        {
+            return null;
+        }
+
+        return text is not null
+            ? $"(task #{taskId.Value}, \"{Truncate(text, 50)}\")"
+            : $"(task #{taskId.Value})";
+    }
+
+    private static string? FormatSaveFile(FunctionCallContent call)
+    {
+        string? fileName = GetString(call, "fileName");
+        string? description = GetString(call, "description");
+
+        if (fileName is null)
+        {
+            return null;
+        }
+
+        return string.IsNullOrEmpty(description)
+            ? $"({fileName})"
+            : $"({fileName}, with description)";
+    }
+
+    private static string? FormatSearchFiles(FunctionCallContent call)
+    {
+        string? pattern = GetString(call, "regexPattern");
+        string? filePattern = GetString(call, "filePattern");
+
+        if (pattern is null)
+        {
+            return null;
+        }
+
+        return string.IsNullOrEmpty(filePattern)
+            ? $"(/{pattern}/)"
+            : $"(/{pattern}/ in {filePattern})";
+    }
+
+    private static string? FormatStringArg(FunctionCallContent call, string paramName)
+    {
+        string? value = GetString(call, paramName);
+        return value is not null ? $"({value})" : null;
+    }
+
+    private static string? FormatFallback(FunctionCallContent call)
+    {
+        if (call.Arguments is null || call.Arguments.Count == 0)
+        {
+            return null;
+        }
+
+        var parts = new List<string>();
+        foreach (var kvp in call.Arguments)
+        {
+            string? stringValue = kvp.Value switch
+            {
+                JsonElement je => je.ValueKind switch
+                {
+                    JsonValueKind.String => je.GetString(),
+                    JsonValueKind.Number => je.GetRawText(),
+                    JsonValueKind.True => "true",
+                    JsonValueKind.False => "false",
+                    _ => null,
+                },
+                not null => kvp.Value.ToString(),
+                _ => null,
+            };
+
+            if (stringValue is not null)
+            {
+                parts.Add($"{kvp.Key}: {Truncate(stringValue, 40)}");
+            }
+        }
+
+        return parts.Count > 0 ? $"({string.Join(", ", parts)})" : null;
+    }
+
+    private static string? GetString(FunctionCallContent call, string paramName)
+    {
+        if (call.Arguments?.TryGetValue(paramName, out object? value) != true || value is null)
+        {
+            return null;
+        }
+
+        return value switch
+        {
+            JsonElement je when je.ValueKind == JsonValueKind.String => je.GetString(),
+            string s => s,
+            _ => value.ToString(),
+        };
+    }
+
+    private static int? GetInt(FunctionCallContent call, string paramName)
+    {
+        if (call.Arguments?.TryGetValue(paramName, out object? value) != true || value is null)
+        {
+            return null;
+        }
+
+        return value switch
+        {
+            JsonElement je when je.ValueKind == JsonValueKind.Number => je.GetInt32(),
+            int i => i,
+            _ => int.TryParse(value.ToString(), out int parsed) ? parsed : null,
+        };
+    }
+
+    private static List<int>? GetIntList(FunctionCallContent call, string paramName)
+    {
+        if (call.Arguments?.TryGetValue(paramName, out object? value) != true || value is null)
+        {
+            return null;
+        }
+
+        var result = new List<int>();
+
+        if (value is JsonElement je && je.ValueKind == JsonValueKind.Array)
+        {
+            foreach (JsonElement item in je.EnumerateArray())
+            {
+                if (item.ValueKind == JsonValueKind.Number)
+                {
+                    result.Add(item.GetInt32());
+                }
+            }
+        }
+
+        return result.Count > 0 ? result : null;
+    }
+
+    private static string Truncate(string text, int maxLength)
+    {
+        return text.Length <= maxLength ? text : string.Concat(text.AsSpan(0, maxLength), "…");
+    }
+}
@@ -1,6 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.

-using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;

 namespace Harness.Shared.Console.Observers;
@@ -8,7 +7,7 @@ namespace Harness.Shared.Console.Observers;
 /// <summary>
 /// Displays token usage statistics (📊) from the response stream.
 /// </summary>
-public sealed class UsageDisplayObserver : ConsoleObserver
+internal sealed class UsageDisplayObserver : ConsoleObserver
 {
    private readonly int? _maxContextWindowTokens;
    private readonly int? _maxOutputTokens;
@@ -25,21 +24,19 @@ public sealed class UsageDisplayObserver : ConsoleObserver
    }

    /// <inheritdoc/>
-    public override Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
+    public override async Task OnContentAsync(ConsoleWriter writer, AIContent content)
    {
        if (content is UsageContent usage)
        {
            if (usage.Details is not null)
            {
-                ux.SetUsageText(this.FormatUsageBreakdown(usage.Details));
+                await writer.WriteInfoLineAsync(this.FormatUsageBreakdown(usage.Details), ConsoleColor.DarkGray);
            }
            else
            {
-                ux.SetUsageText("📊 Tokens —");
+                await writer.WriteInfoLineAsync("📊 Tokens —", ConsoleColor.DarkGray);
            }
        }
-
-        return Task.CompletedTask;
    }

    private string FormatUsageBreakdown(UsageDetails details)
@@ -1,34 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Represents the type of an output entry in the console conversation.
-/// </summary>
-internal enum OutputEntryType
-{
-    /// <summary>User input echo (e.g. "You: hello").</summary>
-    UserInput,
-
-    /// <summary>In-progress streaming text from the agent (accumulated chunk by chunk).</summary>
-    StreamingText,
-
-    /// <summary>Informational line (tool calls, errors, usage, approval requests, etc.).</summary>
-    InfoLine,
-
-    /// <summary>Stream footer (e.g. "(no text response from agent)").</summary>
-    StreamFooter,
-
-    /// <summary>Pending injected message notification.</summary>
-    PendingMessage,
-}
-
-/// <summary>
-/// Represents a single output entry in the console conversation history.
-/// Used internally by <see cref="HarnessConsoleUXStateDriver"/> to track
-/// the in-progress streaming entry and last-entry type for spacing decisions.
-/// </summary>
-/// <param name="Type">The type of output entry.</param>
-/// <param name="Text">The text content of the entry.</param>
-/// <param name="Color">Optional foreground color for rendering.</param>
-internal sealed record OutputEntry(OutputEntryType Type, string Text, ConsoleColor? Color = null);
@@ -0,0 +1,77 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace Harness.Shared.Console;
+
+/// <summary>
+/// A restartable spinner that can be started and stopped multiple times.
+/// </summary>
+internal sealed class Spinner : IDisposable
+{
+    private static readonly string[] s_frames = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"];
+
+    private CancellationTokenSource? _cts;
+    private Task? _task;
+
+    public void Start()
+    {
+        if (this._task is not null)
+        {
+            return;
+        }
+
+        this._cts = new CancellationTokenSource();
+        this._task = RunAsync(this._cts.Token);
+    }
+
+    public async Task StopAsync()
+    {
+        if (this._cts is null || this._task is null)
+        {
+            return;
+        }
+
+        this._cts.Cancel();
+        await this._task;
+        this._cts.Dispose();
+        this._cts = null;
+        this._task = null;
+    }
+
+    public void Dispose()
+    {
+        if (this._cts is not null && this._task is not null)
+        {
+            this._cts.Cancel();
+
+            // Block briefly to let the spinner task clean up.
+            // This prevents the background task from writing to the console after disposal.
+#pragma warning disable VSTHRD002 // Synchronous wait in Dispose is acceptable here — the spinner task completes quickly on cancellation.
+            this._task.Wait();
+#pragma warning restore VSTHRD002
+        }
+
+        this._cts?.Dispose();
+        this._cts = null;
+        this._task = null;
+    }
+
+    private static async Task RunAsync(CancellationToken cancellationToken)
+    {
+        int i = 0;
+        try
+        {
+            while (!cancellationToken.IsCancellationRequested)
+            {
+                System.Console.Write(s_frames[i % s_frames.Length]);
+                await Task.Delay(80, cancellationToken);
+                System.Console.Write("\b \b");
+                i++;
+            }
+        }
+        catch (OperationCanceledException)
+        {
+            // Clear the last spinner frame left on screen.
+            System.Console.Write("\b \b");
+        }
+    }
+}
@@ -1,51 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Text.Json;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Catch-all formatter that handles any tool not matched by a more specific formatter.
-/// Displays a generic summary of the tool's arguments. This formatter should always be
-/// placed last in the formatter list.
-/// </summary>
-public sealed class FallbackToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => true;
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call)
-    {
-        if (call.Arguments is null || call.Arguments.Count == 0)
-        {
-            return null;
-        }
-
-        var parts = new List<string>();
-        foreach (var kvp in call.Arguments)
-        {
-            string? stringValue = kvp.Value switch
-            {
-                JsonElement je => je.ValueKind switch
-                {
-                    JsonValueKind.String => je.GetString(),
-                    JsonValueKind.Number => je.GetRawText(),
-                    JsonValueKind.True => "true",
-                    JsonValueKind.False => "false",
-                    _ => null,
-                },
-                not null => kvp.Value.ToString(),
-                _ => null,
-            };
-
-            if (stringValue is not null)
-            {
-                parts.Add($"{kvp.Key}: {Truncate(stringValue, 40)}");
-            }
-        }
-
-        return parts.Count > 0 ? $"({string.Join(", ", parts)})" : null;
-    }
-}
@@ -1,61 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Formats <c>FileMemory_*</c> tool calls, showing file names and search patterns
-/// with tree-view corners for save operations.
-/// </summary>
-public sealed class FileMemoryToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("FileMemory_", StringComparison.Ordinal);
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
-    {
-        "FileMemory_SaveFile" => FormatSaveFile(call),
-        "FileMemory_ReadFile" => FormatStringArg(call, "fileName"),
-        "FileMemory_DeleteFile" => FormatStringArg(call, "fileName"),
-        "FileMemory_SearchFiles" => FormatSearchFiles(call),
-        _ => null,
-    };
-
-    private static string? FormatSaveFile(FunctionCallContent call)
-    {
-        string? fileName = GetStringArgumentValue(call, "fileName");
-        string? description = GetStringArgumentValue(call, "description");
-
-        if (fileName is null)
-        {
-            return null;
-        }
-
-        return string.IsNullOrEmpty(description)
-            ? $"\n   └─ {fileName}"
-            : $"\n   └─ {fileName} (with description)";
-    }
-
-    private static string? FormatSearchFiles(FunctionCallContent call)
-    {
-        string? pattern = GetStringArgumentValue(call, "regexPattern");
-        string? filePattern = GetStringArgumentValue(call, "filePattern");
-
-        if (pattern is null)
-        {
-            return null;
-        }
-
-        return string.IsNullOrEmpty(filePattern)
-            ? $"(/{pattern}/)"
-            : $"(/{pattern}/ in {filePattern})";
-    }
-
-    private static string? FormatStringArg(FunctionCallContent call, string paramName)
-    {
-        string? value = GetStringArgumentValue(call, paramName);
-        return value is not null ? $"({value})" : null;
-    }
-}
@@ -1,27 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Formats <c>AgentMode_*</c> tool calls, showing the target mode for Set operations.
-/// </summary>
-public sealed class ModeToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("AgentMode_", StringComparison.Ordinal);
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
-    {
-        "AgentMode_Set" => FormatStringArg(call, "mode"),
-        _ => null,
-    };
-
-    private static string? FormatStringArg(FunctionCallContent call, string paramName)
-    {
-        string? value = GetStringArgumentValue(call, paramName);
-        return value is not null ? $"({value})" : null;
-    }
-}
@@ -1,101 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Text;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Formats <c>SubAgents_*</c> tool calls with human-readable details
-/// for task start, continue, wait, and result retrieval operations.
-/// </summary>
-public sealed class SubAgentToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("SubAgents_", StringComparison.Ordinal);
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
-    {
-        "SubAgents_StartTask" => FormatStartSubTask(call),
-        "SubAgents_WaitForFirstCompletion" => FormatIdList(call, "taskIds", "Wait for"),
-        "SubAgents_GetTaskResults" => FormatSingleId(call, "taskId"),
-        "SubAgents_ContinueTask" => FormatContinueTask(call),
-        "SubAgents_ClearCompletedTask" => FormatSingleId(call, "taskId"),
-        _ => null,
-    };
-
-    private static string? FormatStartSubTask(FunctionCallContent call)
-    {
-        string? agentName = GetStringArgumentValue(call, "agentName");
-        string? description = GetStringArgumentValue(call, "description");
-
-        if (agentName is null && description is null)
-        {
-            return null;
-        }
-
-        var sb = new StringBuilder();
-
-        if (agentName is not null && description is not null)
-        {
-            sb.Append($"\n   ├─ Agent: {agentName}");
-            sb.Append($"\n   └─ \"{Truncate(description, 80)}\"");
-        }
-        else if (agentName is not null)
-        {
-            sb.Append($"\n   └─ Agent: {agentName}");
-        }
-        else
-        {
-            sb.Append($"\n   └─ \"{Truncate(description!, 80)}\"");
-        }
-
-        return sb.ToString();
-    }
-
-    private static string? FormatIdList(FunctionCallContent call, string paramName, string verb)
-    {
-        List<int>? ids = GetIntListArgumentValue(call, paramName);
-        if (ids is null || ids.Count == 0)
-        {
-            return null;
-        }
-
-        var sb = new StringBuilder();
-        for (int i = 0; i < ids.Count; i++)
-        {
-            string connector = i < ids.Count - 1 ? "├─" : "└─";
-            sb.Append($"\n   {connector} {verb} #{ids[i]}");
-        }
-
-        return sb.ToString();
-    }
-
-    private static string? FormatSingleId(FunctionCallContent call, string paramName)
-    {
-        int? id = GetIntArgumentValue(call, paramName);
-        return id.HasValue ? $"(task #{id.Value})" : null;
-    }
-
-    private static string? FormatContinueTask(FunctionCallContent call)
-    {
-        int? taskId = GetIntArgumentValue(call, "taskId");
-        string? text = GetStringArgumentValue(call, "text");
-
-        if (!taskId.HasValue)
-        {
-            return null;
-        }
-
-        if (text is not null)
-        {
-            var sb = new StringBuilder();
-            sb.Append($"\n   ├─ Task #{taskId.Value}");
-            sb.Append($"\n   └─ \"{Truncate(text, 80)}\"");
-            return sb.ToString();
-        }
-
-        return $"\n   └─ Task #{taskId.Value}";
-    }
-}
@@ -1,84 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Text;
-using System.Text.Json;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Formats <c>TodoList_*</c> tool calls with tree-view output for added items
-/// and structured output for complete/remove operations.
-/// </summary>
-public sealed class TodoToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("TodoList_", StringComparison.Ordinal);
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
-    {
-        "TodoList_Add" => FormatAddTodos(call),
-        "TodoList_Complete" => FormatIdList(call, "ids", "Complete"),
-        "TodoList_Remove" => FormatIdList(call, "ids", "Remove"),
-        _ => null,
-    };
-
-    private static string? FormatAddTodos(FunctionCallContent call)
-    {
-        if (call.Arguments?.TryGetValue("todos", out object? todosObj) != true || todosObj is null)
-        {
-            return null;
-        }
-
-        var titles = new List<string>();
-
-        if (todosObj is JsonElement jsonArray && jsonArray.ValueKind == JsonValueKind.Array)
-        {
-            foreach (JsonElement item in jsonArray.EnumerateArray())
-            {
-                string? title = item.TryGetProperty("title", out JsonElement titleElement)
-                    ? titleElement.GetString()
-                    : null;
-
-                if (!string.IsNullOrEmpty(title))
-                {
-                    titles.Add(title);
-                }
-            }
-        }
-
-        if (titles.Count == 0)
-        {
-            return null;
-        }
-
-        var sb = new StringBuilder();
-        sb.Append($"({titles.Count} item{(titles.Count == 1 ? "" : "s")})");
-        for (int i = 0; i < titles.Count; i++)
-        {
-            string connector = i < titles.Count - 1 ? "├─" : "└─";
-            sb.Append($"\n   {connector} {titles[i]}");
-        }
-
-        return sb.ToString();
-    }
-
-    private static string? FormatIdList(FunctionCallContent call, string paramName, string verb)
-    {
-        List<int>? ids = GetIntListArgumentValue(call, paramName);
-        if (ids is null || ids.Count == 0)
-        {
-            return null;
-        }
-
-        var sb = new StringBuilder();
-        for (int i = 0; i < ids.Count; i++)
-        {
-            string connector = i < ids.Count - 1 ? "├─" : "└─";
-            sb.Append($"\n   {connector} {verb} #{ids[i]}");
-        }
-
-        return sb.ToString();
-    }
-}
@@ -1,135 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Text.Json;
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Base class for tool call formatters that produce human-readable display strings
-/// for <see cref="FunctionCallContent"/> items shown in the console.
-/// </summary>
-public abstract class ToolCallFormatter
-{
-    /// <summary>
-    /// Returns <see langword="true"/> if this formatter can handle the given function call.
-    /// </summary>
-    /// <param name="call">The function call content to check.</param>
-    /// <returns><see langword="true"/> if this formatter should be used; otherwise <see langword="false"/>.</returns>
-    public abstract bool CanFormat(FunctionCallContent call);
-
-    /// <summary>
-    /// Returns the detail portion of the formatted output for the given tool call,
-    /// or <see langword="null"/> if only the tool name should be displayed.
-    /// </summary>
-    /// <param name="call">The function call content to format.</param>
-    /// <returns>A detail string to append after the tool name, or <see langword="null"/>.</returns>
-    public abstract string? FormatDetail(FunctionCallContent call);
-
-    /// <summary>
-    /// Formats a tool call using the first matching formatter from the provided list.
-    /// Returns <c>"{toolName} {detail}"</c> when a formatter produces detail,
-    /// or just <c>"{toolName}"</c> otherwise.
-    /// </summary>
-    internal static string Format(IReadOnlyList<ToolCallFormatter> formatters, FunctionCallContent call)
-    {
-        foreach (var formatter in formatters)
-        {
-            if (formatter.CanFormat(call))
-            {
-                string? detail = formatter.FormatDetail(call);
-                return detail is not null ? $"{call.Name} {detail}" : call.Name;
-            }
-        }
-
-        return call.Name;
-    }
-
-    /// <summary>
-    /// Creates the default list of tool call formatters. The <see cref="FallbackToolFormatter"/>
-    /// is always last. Users can call this method and combine the result with their own formatters.
-    /// </summary>
-    /// <returns>A list of all built-in tool call formatters.</returns>
-    public static List<ToolCallFormatter> BuildDefaultToolFormatters()
-    {
-        return
-        [
-            new TodoToolFormatter(),
-            new ModeToolFormatter(),
-            new SubAgentToolFormatter(),
-            new FileMemoryToolFormatter(),
-            new WebSearchToolFormatter(),
-            new FallbackToolFormatter(),
-        ];
-    }
-
-    /// <summary>
-    /// Extracts a string argument value from a function call.
-    /// </summary>
-    protected static string? GetStringArgumentValue(FunctionCallContent call, string paramName)
-    {
-        if (call.Arguments?.TryGetValue(paramName, out object? value) != true || value is null)
-        {
-            return null;
-        }
-
-        return value switch
-        {
-            JsonElement je when je.ValueKind == JsonValueKind.String => je.GetString(),
-            string s => s,
-            _ => value.ToString(),
-        };
-    }
-
-    /// <summary>
-    /// Extracts an integer argument value from a function call.
-    /// </summary>
-    protected static int? GetIntArgumentValue(FunctionCallContent call, string paramName)
-    {
-        if (call.Arguments?.TryGetValue(paramName, out object? value) != true || value is null)
-        {
-            return null;
-        }
-
-        return value switch
-        {
-            JsonElement je when je.ValueKind == JsonValueKind.Number => je.GetInt32(),
-            int i => i,
-            _ => int.TryParse(value.ToString(), out int parsed) ? parsed : null,
-        };
-    }
-
-    /// <summary>
-    /// Extracts a list of integer argument values from a function call.
-    /// </summary>
-    protected static List<int>? GetIntListArgumentValue(FunctionCallContent call, string paramName)
-    {
-        if (call.Arguments?.TryGetValue(paramName, out object? value) != true || value is null)
-        {
-            return null;
-        }
-
-        var result = new List<int>();
-
-        if (value is JsonElement je && je.ValueKind == JsonValueKind.Array)
-        {
-            foreach (JsonElement item in je.EnumerateArray())
-            {
-                if (item.ValueKind == JsonValueKind.Number)
-                {
-                    result.Add(item.GetInt32());
-                }
-            }
-        }
-
-        return result.Count > 0 ? result : null;
-    }
-
-    /// <summary>
-    /// Truncates a string to the specified maximum length, appending an ellipsis if truncated.
-    /// </summary>
-    protected static string Truncate(string text, int maxLength)
-    {
-        return text.Length <= maxLength ? text : string.Concat(text.AsSpan(0, maxLength), "…");
-    }
-}
@@ -1,22 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Extensions.AI;
-
-namespace Harness.Shared.Console.ToolFormatters;
-
-/// <summary>
-/// Formats <c>web_search</c> tool calls, showing the search query.
-/// </summary>
-public sealed class WebSearchToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) =>
-        call.Name is "web_search";
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call)
-    {
-        string? value = GetStringArgumentValue(call, "query");
-        return value is not null ? $"({value})" : null;
-    }
-}
@@ -1,23 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.Shared.Console.ToolFormatters;
-using Microsoft.Extensions.AI;
-
-namespace SampleApp;
-
-/// <summary>
-/// Formats <c>DownloadUri</c> tool calls, showing the target URI.
-/// </summary>
-public sealed class DownloadUriToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) =>
-        call.Name is "DownloadUri";
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call)
-    {
-        string? value = GetStringArgumentValue(call, "uri");
-        return value is not null ? $"({value})" : null;
-    }
-}
@@ -13,7 +13,6 @@
  </ItemGroup>

  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
    <ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
  </ItemGroup>
@@ -1,6 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.

-// This sample demonstrates how to use a HarnessAgent with the Harness AIContextProviders
+// This sample demonstrates how to use a ChatClientAgent with the Harness AIContextProviders
 // (TodoProvider and AgentModeProvider) for interactive research tasks with web search
 // capabilities powered by Azure AI Foundry.
 // The agent plans research tasks, creates a todo list, gets user approval,
@@ -8,8 +8,7 @@
 //
 // Special commands:
 //   /todos  — Display the current todo list without invoking the agent.
-//   /mode   — Get or set the current agent mode.
-//   /exit   — End the session.
+//   exit    — End the session.

 #pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
 #pragma warning disable MAAI001  // Suppress experimental API warnings for Agents AI experiments.
@@ -17,8 +16,8 @@
 using System.ClientModel.Primitives;
 using Azure.Identity;
 using Harness.Shared.Console;
-using Harness.Shared.Console.ToolFormatters;
 using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Compaction;
 using Microsoft.Extensions.AI;
 using OpenAI;
 using OpenAI.Responses;
@@ -30,7 +29,7 @@ var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYME
 const int MaxContextWindowTokens = 1_050_000;
 const int MaxOutputTokens = 128_000;

-// Create a HarnessAgent with the Harness providers (TodoProvider and AgentModeProvider)
+// Create a ChatClientAgent with the Harness providers (TodoProvider and AgentModeProvider)
 // and research-focused instructions including the mandatory planning workflow.
 var instructions =
    """
@@ -111,9 +110,13 @@ var instructions =
    - Check for relevant previously downloaded data / findings before starting new research.
    """;

-// Create the agent using AsHarnessAgent, which pre-configures function invocation,
-// per-service-call chat history persistence, and in-loop compaction.
-// Then wrap with UseToolApproval to allow auto-approving tools once confirmed.
+// Create a compaction strategy based on the model's context window.
+// gpt-5.4: 1,050,000 token context window, 128,000 max output tokens.
+// Defaults: tool result eviction at 50% of input budget, truncation at 80%.
+var compactionStrategy = new ContextWindowCompactionStrategy(
+    maxContextWindowTokens: MaxContextWindowTokens,
+    maxOutputTokens: MaxOutputTokens);
+
 AIAgent agent =
    // Create an OpenAIClient that communicates with the Foundry responses service.
    new OpenAIClient(
@@ -127,32 +130,47 @@ AIAgent agent =
            RetryPolicy = new ClientRetryPolicy(3)          // Enable retries to improve resiliency.
        })
    .GetResponsesClient()
-    .AsIChatClientWithStoredOutputDisabled(deploymentName)   // We want to manage chat history locally (not stored in the responses service), so that we can manage compaction ourselves.
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "ResearchAgent",
-        Description = "A research assistant that plans and executes research tasks.",
-        AIContextProviders =
-        [
-            new TodoProvider(),         // Add an AIContextProvider to allow the agent to create a TODO list, which is stored in the session.
-            new AgentModeProvider(),    // Add an AIContextProvider that tracks the agent mode and allows switching mode. Current mode is stored in the session.
-            new FileMemoryProvider(     // Add an AIContextProvider that can store memories in files under a session specific working folder.
-                new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "agent-files")),
-                (_) => new FileMemoryState() { WorkingFolder = DateTime.UtcNow.ToString("yyyyMMdd_HHmmss") + "_" + Guid.NewGuid().ToString() })
-        ],
-        ChatOptions = new ChatOptions
+    .AsIChatClientWithStoredOutputDisabled(deploymentName)  // We want to manage chat history locally (not stored in the responses service), so that we can manage compaction ourselves.
+
+    // Build a ChatClient Pipeline
+    .AsBuilder()
+    .UseFunctionInvocation()                                // We are building our own stack from scratch so we need to include Function Invocation ourselves.
+    .UsePerServiceCallChatHistoryPersistence()              // Save chat history updates to the session after each service call, rather than only at the end of the run.
+    .UseAIContextProviders(new CompactionProvider(compactionStrategy))  // Add Compaction before each service call to responses so that long function invocation loops don't overflow the context.
+
+    // Build our agent on top of the ChatClient Pipeline
+    .BuildAIAgent(
+        new ChatClientAgentOptions
        {
-            Instructions = instructions,
-            Tools =
+            Name = "ResearchAgent",
+            Description = "A research assistant that plans and executes research tasks.",
+            UseProvidedChatClientAsIs = true,                           // Since we built our own stack from scratch we need to tell the agent not to also add defaults like Function Invocation.
+            RequirePerServiceCallChatHistoryPersistence = true,         // Since we are added the per service call persistence ChatClient, we need to tell the agent to not also store chat history at the end of the run.
+            ChatHistoryProvider = new InMemoryChatHistoryProvider(      // Store chat history in memory in the session object. Will persist if the session is persisted.
+                new InMemoryChatHistoryProviderOptions
+                {
+                    ChatReducer = compactionStrategy.AsChatReducer(),   // Run compaction on the InMemory chat history when it gets too large.
+                }),
+            AIContextProviders =
            [
-                ResponseTool.CreateWebSearchTool().AsAITool(),          // Add the foundry hosted web search tool that runs in the service.
-                new WebBrowsingTool(                                    // Add a local web browsing tool that converts html to markdown.
-                    new WebBrowsingToolOptions { AllowPublicNetworks = true }),
+                new TodoProvider(),         // Add an AIContextProvider to allow the agent to create a TODO list, which is stored in the session.
+                new AgentModeProvider(),    // Add an AIContextProvider that tracks the agent mode and allows switching mode. Current mode is stored in the session.
+                new FileMemoryProvider(     // Add an AIContextProvider that can store memories in files under a session specific working folder.
+                    new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "agent-files")),
+                    (_) => new FileMemoryState() { WorkingFolder = DateTime.UtcNow.ToString("yyyyMMdd_HHmmss") + "_" + Guid.NewGuid().ToString() })
            ],
-            MaxOutputTokens = MaxOutputTokens,                          // Set a high token limit for long research tasks with many tool calls and long outputs.
-            Reasoning = new() { Effort = ReasoningEffort.Medium },
-        },
-    })
+            ChatOptions = new ChatOptions
+            {
+                Instructions = instructions,
+                Tools =
+                [
+                    ResponseTool.CreateWebSearchTool().AsAITool(),          // Add the foundry hosted web search tool that runs in the service.
+                    new WebBrowsingTool(),                                  // Add a local web browsing tool that converts html to markdown.
+                ],
+                MaxOutputTokens = MaxOutputTokens,                          // Set a high token limit for long research tasks with many tool calls and long outputs.
+                Reasoning = new() { Effort = ReasoningEffort.Medium },
+            },
+        })
    .AsBuilder()
    .UseToolApproval()                                                      // Add the ability to auto approve tools once a user has said they don't want to be asked again. Approval rules are tied to the session.
    .Build();
@@ -160,15 +178,13 @@ AIAgent agent =
 // Run the interactive console session using the shared HarnessConsole helper.
 await HarnessConsole.RunAgentAsync(
    agent,
+    title: "Research Assistant",
    userPrompt: "Enter a research topic to get started.",
    new HarnessConsoleOptions
    {
-        Observers = HarnessConsoleOptions.BuildObserversWithPlanning(
-            agent,
-            planModeName: "plan",
-            executionModeName: "execute",
-            maxContextWindowTokens: MaxContextWindowTokens,
-            maxOutputTokens: MaxOutputTokens,
-            toolFormatters: [new DownloadUriToolFormatter(), .. ToolCallFormatter.BuildDefaultToolFormatters()]),
-        CommandHandlers = HarnessConsoleOptions.BuildDefaultCommandHandlers(agent),
+        MaxContextWindowTokens = MaxContextWindowTokens,
+        MaxOutputTokens = MaxOutputTokens,
+        EnablePlanningUx = true,
+        PlanningModeName = "plan",
+        ExecutionModeName = "execute"
    });
@@ -1,11 +1,10 @@
 # What this sample demonstrates

-This sample demonstrates how to use a `HarnessAgent` with the Harness `AIContextProviders` (`TodoProvider` and `AgentModeProvider`) for interactive research tasks with web search capabilities powered by Azure AI Foundry. The `HarnessAgent` pre-configures function invocation, per-service-call chat history persistence, and context-window compaction.
+This sample demonstrates how to use a `ChatClientAgent` with the Harness `AIContextProviders` (`TodoProvider` and `AgentModeProvider`) for interactive research tasks with web search capabilities powered by Azure AI Foundry.

 Key features showcased:

- **HarnessAgent** — a pre-configured agent that wraps a `ChatClientAgent` with function invocation, per-service-call persistence, and context-window compaction
- **ToolApproval** — the agent is wrapped with `UseToolApproval()` to allow auto-approving tools once confirmed
+- **ChatClientAgent** — configured directly with Harness providers for planning and task management
 - **Web Search** — the agent can search the web for current information via `ResponseTool.CreateWebSearchTool()`
 - **TodoProvider** — the agent creates and manages a todo list to track research questions
 - **AgentModeProvider** — the agent switches between "plan" mode (breaking down the topic) and "execute" mode (answering each research question)
@@ -2,7 +2,6 @@

 using System.ComponentModel;
 using System.Net;
-using System.Net.Sockets;
 using System.Text.Json;
 using System.Text.RegularExpressions;
 using Microsoft.Extensions.AI;
@@ -11,23 +10,11 @@ namespace SampleApp;

 /// <summary>
 /// An AI function that downloads HTML pages and converts them to markdown.
-/// Access is controlled by <see cref="WebBrowsingToolOptions"/> — by default, no hosts are accessible.
 /// </summary>
 internal sealed partial class WebBrowsingTool : AIFunction
 {
    private static readonly HttpClient s_httpClient = new();
-    private readonly AIFunction _inner;
-    private readonly WebBrowsingToolOptions _options;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="WebBrowsingTool"/> class.
-    /// </summary>
-    /// <param name="options">Options controlling which URLs are permitted. By default, no hosts are accessible.</param>
-    public WebBrowsingTool(WebBrowsingToolOptions options)
-    {
-        this._options = options ?? throw new ArgumentNullException(nameof(options));
-        this._inner = AIFunctionFactory.Create(this.DownloadUriAsync);
-    }
+    private readonly AIFunction _inner = AIFunctionFactory.Create(DownloadUriAsync);

    /// <inheritdoc/>
    public override string Name => this._inner.Name;
@@ -45,7 +32,7 @@ internal sealed partial class WebBrowsingTool : AIFunction
        this._inner.InvokeAsync(arguments, cancellationToken);

    [Description("Fetch the html from the given url as markdown")]
-    private async Task<string> DownloadUriAsync(
+    private static async Task<string> DownloadUriAsync(
        [Description("The URL to download")] string uri,
        CancellationToken cancellationToken = default)
    {
@@ -59,12 +46,9 @@ internal sealed partial class WebBrowsingTool : AIFunction
            return $"Error: Only HTTP and HTTPS URLs are supported. Got: '{parsedUri.Scheme}'.";
        }

-        // Check access policy.
-        string? accessError = await this.CheckAccessAsync(parsedUri, cancellationToken);
-        if (accessError is not null)
-        {
-            return accessError;
-        }
+        // NOTE: In production scenarios, consider also blocking requests to private/internal IP
+        // ranges (e.g., 10.x.x.x, 172.16-31.x.x, 192.168.x.x, 127.0.0.1, 169.254.169.254)
+        // to prevent SSRF attacks via prompt injection in web content.

        try
        {
@@ -77,142 +61,6 @@ internal sealed partial class WebBrowsingTool : AIFunction
        }
    }

-    /// <summary>
-    /// Checks whether the given URI is permitted by the configured access policy.
-    /// Returns null if allowed, or an error message string if blocked.
-    /// </summary>
-    private async Task<string?> CheckAccessAsync(Uri uri, CancellationToken cancellationToken)
-    {
-        string host = uri.Host;
-
-        // 1. Check AllowedHosts.
-        if (this._options.AllowedHosts is { Count: > 0 } allowedHosts)
-        {
-            foreach (string pattern in allowedHosts)
-            {
-                if (HostMatchesPattern(host, pattern))
-                {
-                    return null; // Allowed by explicit host list.
-                }
-            }
-        }
-
-        // 2. Short-circuit when the policy is guaranteed to block.
-        if (!this._options.AllowPublicNetworks &&
-            !this._options.AllowPrivateNetworks &&
-            !this._options.AllowAllHosts)
-        {
-            return $"Error: Access to '{host}' is blocked by the current access policy. Configure WebBrowsingToolOptions to allow access.";
-        }
-
-        // 3. Resolve DNS to determine if the host is public or private.
-        IPAddress[] addresses;
-        try
-        {
-            addresses = await Dns.GetHostAddressesAsync(host, cancellationToken);
-        }
-        catch (SocketException)
-        {
-            return $"Error: Could not resolve host '{host}'.";
-        }
-
-        if (addresses.Length == 0)
-        {
-            return $"Error: Could not resolve host '{host}'.";
-        }
-
-        bool isPrivate = Array.Exists(addresses, IsPrivateAddress);
-
-        // 4. If public and AllowPublicNetworks is true → allow.
-        if (!isPrivate && this._options.AllowPublicNetworks)
-        {
-            return null;
-        }
-
-        // 5. If private and AllowPrivateNetworks is true → allow.
-        if (isPrivate && this._options.AllowPrivateNetworks)
-        {
-            return null;
-        }
-
-        // 6. If AllowAllHosts is true → allow.
-        if (this._options.AllowAllHosts)
-        {
-            return null;
-        }
-
-        // 7. Block.
-        string networkType = isPrivate ? "private/internal network" : "public network";
-        return $"Error: Access to '{host}' is blocked. The host resolves to a {networkType} address and the current access policy does not permit this. " +
-               "Configure WebBrowsingToolOptions to allow access.";
-    }
-
-    /// <summary>
-    /// Checks whether a host matches a pattern. Supports exact match and wildcard prefix (e.g., "*.example.com").
-    /// </summary>
-    private static bool HostMatchesPattern(string host, string pattern)
-    {
-        if (string.Equals(host, pattern, StringComparison.OrdinalIgnoreCase))
-        {
-            return true;
-        }
-
-        // Wildcard prefix: "*.example.com" matches "sub.example.com" and "a.b.example.com".
-        if (pattern.StartsWith("*.", StringComparison.Ordinal))
-        {
-            string suffix = pattern[1..]; // ".example.com"
-            return host.EndsWith(suffix, StringComparison.OrdinalIgnoreCase);
-        }
-
-        return false;
-    }
-
-    /// <summary>
-    /// Determines whether an IP address is private, loopback, or link-local.
-    /// </summary>
-    private static bool IsPrivateAddress(IPAddress address)
-    {
-        if (address.IsIPv4MappedToIPv6)
-        {
-            address = address.MapToIPv4();
-        }
-
-        if (IPAddress.IsLoopback(address))
-        {
-            return true;
-        }
-
-        if (address.AddressFamily == AddressFamily.InterNetwork)
-        {
-            byte[] bytes = address.GetAddressBytes();
-            return bytes[0] switch
-            {
-                10 => true,                                          // 10.0.0.0/8
-                172 => bytes[1] >= 16 && bytes[1] <= 31,             // 172.16.0.0/12
-                192 => bytes[1] == 168,                              // 192.168.0.0/16
-                169 => bytes[1] == 254,                              // 169.254.0.0/16 (link-local + metadata)
-                _ => false
-            };
-        }
-
-        if (address.AddressFamily == AddressFamily.InterNetworkV6)
-        {
-            // fe80::/10 (link-local) or fc00::/7 (unique local).
-            byte[] bytes = address.GetAddressBytes();
-            if (bytes[0] == 0xfe && (bytes[1] & 0xc0) == 0x80)
-            {
-                return true; // Link-local
-            }
-
-            if ((bytes[0] & 0xfe) == 0xfc)
-            {
-                return true; // Unique local
-            }
-        }
-
-        return false;
-    }
-
    /// <summary>
    /// A simple HTML to Markdown converter using regex-based transformations.
    /// Handles the most common HTML elements without requiring external dependencies.
@@ -1,60 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-namespace SampleApp;
-
-/// <summary>
-/// Options that control which URLs the <see cref="WebBrowsingTool"/> is permitted to access.
-/// </summary>
-/// <remarks>
-/// <para>
-/// By default, <b>no hosts are accessible</b>. You must explicitly opt in to one or more
-/// of the access modes below. The validation order is:
-/// </para>
-/// <list type="number">
-/// <item><description>If the host matches an entry in <see cref="AllowedHosts"/>, the request is allowed.</description></item>
-/// <item><description>If the resolved IP is a public address and <see cref="AllowPublicNetworks"/> is <see langword="true"/>, the request is allowed.</description></item>
-/// <item><description>If the resolved IP is a private/loopback/link-local address and <see cref="AllowPrivateNetworks"/> is <see langword="true"/>, the request is allowed.</description></item>
-/// <item><description>If <see cref="AllowAllHosts"/> is <see langword="true"/>, the request is allowed.</description></item>
-/// <item><description>Otherwise, the request is blocked.</description></item>
-/// </list>
-/// </remarks>
-internal sealed class WebBrowsingToolOptions
-{
-    /// <summary>
-    /// Gets or sets a list of host patterns that are always permitted, regardless of other settings.
-    /// Patterns support wildcard prefix matching (e.g., <c>"*.example.com"</c> matches <c>"docs.example.com"</c>).
-    /// Exact host names (e.g., <c>"docs.microsoft.com"</c>) are also supported.
-    /// </summary>
-    /// <remarks>This has the highest priority — if a host matches, it is allowed immediately.</remarks>
-    public IReadOnlyList<string>? AllowedHosts { get; set; }
-
-    /// <summary>
-    /// Gets or sets a value indicating whether public internet hosts (non-private, non-loopback, non-link-local IPs) are permitted.
-    /// Default is <see langword="false"/>.
-    /// </summary>
-    public bool AllowPublicNetworks { get; set; }
-
-    /// <summary>
-    /// Gets or sets a value indicating whether private network hosts are permitted.
-    /// This includes RFC 1918 addresses (10.x.x.x, 172.16-31.x.x, 192.168.x.x),
-    /// loopback (127.x.x.x, ::1), link-local (169.254.x.x, fe80::),
-    /// and cloud metadata endpoints (169.254.169.254).
-    /// Default is <see langword="false"/>.
-    /// </summary>
-    /// <remarks>
-    /// <b>Warning:</b> Enabling this allows the agent to make requests to internal services,
-    /// localhost, and cloud metadata endpoints. Only enable this if you understand the SSRF risks.
-    /// </remarks>
-    public bool AllowPrivateNetworks { get; set; }
-
-    /// <summary>
-    /// Gets or sets a value indicating whether all hosts are permitted without any restriction.
-    /// Default is <see langword="false"/>.
-    /// </summary>
-    /// <remarks>
-    /// <b>⚠️ UNSAFE:</b> Enabling this disables all network boundary checks and allows the agent
-    /// to access any URL, including internal services, cloud metadata endpoints, and localhost.
-    /// Only use this for trusted, isolated environments where SSRF is not a concern.
-    /// </remarks>
-    public bool AllowAllHosts { get; set; }
-}
@@ -13,7 +13,6 @@
  </ItemGroup>

  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
    <ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
  </ItemGroup>
@@ -6,7 +6,7 @@
 // equipped with Foundry's hosted web search tool.
 //
 // Special commands:
-//   /exit    — End the session.
+//   exit    — End the session.

 #pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
 #pragma warning disable MAAI001  // Suppress experimental API warnings for Agents AI experiments.
@@ -22,9 +22,6 @@ using OpenAI.Responses;
 var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_OPENAI_ENDPOINT is not set.");
 var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";

-const int MaxContextWindowTokens = 1_050_000;
-const int MaxOutputTokens = 128_000;
-
 // --- Sub-agent: Web Search Agent ---
 // This agent can search the web and is used by the parent agent to look up stock prices.
 AIAgent webSearchAgent =
@@ -37,19 +34,20 @@ AIAgent webSearchAgent =
        })
    .GetResponsesClient()
    .AsIChatClientWithStoredOutputDisabled(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "WebSearchAgent",
-        Description = "An agent that can search the web to find information.",
-        ChatOptions = new ChatOptions
+    .AsAIAgent(
+        new ChatClientAgentOptions
        {
-            Instructions = "You are a web search assistant. When asked to find information, use the web search tool to look it up and return a concise, factual answer.",
-            Tools =
-            [
-                ResponseTool.CreateWebSearchTool().AsAITool(),
-            ],
-        },
-    });
+            Name = "WebSearchAgent",
+            Description = "An agent that can search the web to find information.",
+            ChatOptions = new ChatOptions
+            {
+                Instructions = "You are a web search assistant. When asked to find information, use the web search tool to look it up and return a concise, factual answer.",
+                Tools =
+                [
+                    ResponseTool.CreateWebSearchTool().AsAITool(),
+                ],
+            },
+        });

 // --- Parent agent: Stock Price Researcher ---
 // This agent orchestrates the sub-agent to look up stock prices in parallel.
@@ -85,22 +83,24 @@ AIAgent parentAgent =
        })
    .GetResponsesClient()
    .AsIChatClientWithStoredOutputDisabled(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "StockPriceResearcher",
-        Description = "An agent that researches stock prices using sub-agents.",
-        AIContextProviders =
-        [
-            new SubAgentsProvider([webSearchAgent]),
-        ],
-        ChatOptions = new ChatOptions
+    .AsAIAgent(
+        new ChatClientAgentOptions
        {
-            Instructions = parentInstructions,
-            MaxOutputTokens = 16_000,
-        },
-    });
+            Name = "StockPriceResearcher",
+            Description = "An agent that researches stock prices using sub-agents.",
+            AIContextProviders =
+            [
+                new SubAgentsProvider([webSearchAgent]),
+            ],
+            ChatOptions = new ChatOptions
+            {
+                Instructions = parentInstructions,
+                MaxOutputTokens = 16_000,
+            },
+        });

 // Run the interactive console session.
 await HarnessConsole.RunAgentAsync(
    parentAgent,
+    title: "Stock Price Researcher (SubAgents Demo)",
    userPrompt: "Enter a list of stock tickers (e.g., BAC, MSFT, BA):");
@@ -1,6 +1,6 @@
 # Harness Step 02 — SubAgents (Stock Price Research)

-This sample demonstrates how to use the **SubAgentsProvider** to delegate work from a parent agent to sub-agents. Both agents use `HarnessAgent` for pre-configured function invocation, per-service-call persistence, and context-window compaction.
+This sample demonstrates how to use the **SubAgentsProvider** to delegate work from a parent agent to sub-agents.

 ## What It Does

@@ -13,7 +13,6 @@
  </ItemGroup>

  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
    <ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
  </ItemGroup>
@@ -1,6 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.

-// This sample demonstrates how to use a HarnessAgent with the FileAccessProvider
+// This sample demonstrates how to use a ChatClientAgent with the FileAccessProvider
 // to give an agent access to a folder of CSV data files. The agent can read, analyze,
 // and extract information from the data, then write results back as new files.
 //
@@ -8,7 +8,7 @@
 // Ask the agent to analyze the data, produce summaries, or create new output files.
 //
 // Special commands:
-//   /exit — End the session.
+//   exit — End the session.

 #pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
 #pragma warning disable MAAI001  // Suppress experimental API warnings for Agents AI experiments.
@@ -17,6 +17,7 @@ using System.ClientModel.Primitives;
 using Azure.Identity;
 using Harness.Shared.Console;
 using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Compaction;
 using Microsoft.Extensions.AI;
 using OpenAI;
 using OpenAI.Responses;
@@ -56,7 +57,11 @@ var instructions =
    - Always explain what you learned and what you are going to do next between tool calls, so the user can follow along with your thought process.
    """;

-// Create the chat client from the OpenAI provider.
+// Create a compaction strategy based on the model's context window.
+var compactionStrategy = new ContextWindowCompactionStrategy(
+    maxContextWindowTokens: MaxContextWindowTokens,
+    maxOutputTokens: MaxOutputTokens);
+
 AIAgent agent =
    new OpenAIClient(
        new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
@@ -67,22 +72,39 @@ AIAgent agent =
        })
    .GetResponsesClient()
    .AsIChatClientWithStoredOutputDisabled(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "DataAnalyst",
-        Description = "A data analyst assistant that reads, analyzes, and processes data files.",
-        AIContextProviders =
-        [
-            new FileAccessProvider(fileStore),
-        ],
-        ChatOptions = new ChatOptions
+
+    .AsBuilder()
+    .UseFunctionInvocation()
+    .UsePerServiceCallChatHistoryPersistence()
+    .UseAIContextProviders(new CompactionProvider(compactionStrategy))
+
+    .BuildAIAgent(
+        new ChatClientAgentOptions
        {
-            Instructions = instructions,
-            MaxOutputTokens = MaxOutputTokens,
-        },
-    });
+            Name = "DataAnalyst",
+            Description = "A data analyst assistant that reads, analyzes, and processes data files.",
+            UseProvidedChatClientAsIs = true,
+            RequirePerServiceCallChatHistoryPersistence = true,
+            ChatHistoryProvider = new InMemoryChatHistoryProvider(
+                new InMemoryChatHistoryProviderOptions
+                {
+                    ChatReducer = compactionStrategy.AsChatReducer(),
+                }),
+            AIContextProviders =
+            [
+                new FileAccessProvider(fileStore),
+            ],
+            ChatOptions = new ChatOptions
+            {
+                Instructions = instructions,
+                MaxOutputTokens = MaxOutputTokens,
+            },
+        })
+    .AsBuilder()
+    .Build();

 // Run the interactive console session.
 await HarnessConsole.RunAgentAsync(
    agent,
+    title: "Data Processing Assistant",
    userPrompt: "Ask me to analyze the data files, produce summaries, or create output files.");
@@ -1,10 +1,9 @@
 # What this sample demonstrates

-This sample demonstrates how to use a `HarnessAgent` with the `FileAccessProvider` to give an agent access to a folder of data files for reading, analyzing, and writing results. The `HarnessAgent` pre-configures function invocation, per-service-call chat history persistence, and in-loop compaction — so the sample only needs to supply the chat client, token limits, and application-specific options.
+This sample demonstrates how to use a `ChatClientAgent` with the `FileAccessProvider` to give an agent access to a folder of data files for reading, analyzing, and writing results.

 Key features showcased:

- **HarnessAgent** — a pre-configured agent that wraps a `ChatClientAgent` with function invocation, per-service-call persistence, and context-window compaction
 - **FileAccessProvider** — gives the agent tools to read, write, list, search, and delete files in a shared data folder
 - **CSV data processing** — the agent reads sales transaction data and performs analysis on demand
 - **Output file creation** — the agent can write summaries, filtered data, or reports back to the data folder
@@ -11,7 +11,6 @@ The getting started samples demonstrate the fundamental concepts and functionali
 | [Agent Providers](./AgentProviders/README.md) | Getting started with creating agents using various providers |
 | [Agents With Retrieval Augmented Generation (RAG)](./AgentWithRAG/README.md) | Adding Retrieval Augmented Generation (RAG) capabilities to your agents |
 | [Agents With Memory](./AgentWithMemory/README.md) | Adding memory capabilities to your agents |
-| [Agents With CodeAct (Hyperlight)](./AgentWithCodeAct/README.md) | Enabling sandboxed code execution (CodeAct) for your agents via Hyperlight |
 | [Agent Open Telemetry](./AgentOpenTelemetry/README.md) | Getting started with OpenTelemetry for agents |
 | [Agent With OpenAI exchange types](./AgentWithOpenAI/README.md) | Using OpenAI exchange types with agents |
 | [Agent With Anthropic](./AgentWithAnthropic/README.md) | Getting started with agents using Anthropic Claude |
@@ -1,42 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-  </PropertyGroup>
-
-  <PropertyGroup>
-    <InjectIsExternalInitOnLegacy>true</InjectIsExternalInitOnLegacy>
-    <InjectSharedFoundryAgents>true</InjectSharedFoundryAgents>
-    <InjectSharedWorkflowsExecution>true</InjectSharedWorkflowsExecution>
-    <InjectSharedWorkflowsSettings>true</InjectSharedWorkflowsSettings>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Microsoft.Extensions.Configuration" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.Binder" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.EnvironmentVariables" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.Json" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" />
-    <PackageReference Include="Microsoft.Extensions.DependencyInjection" />
-    <PackageReference Include="Microsoft.Extensions.Logging" />
-    <PackageReference Include="OpenAI" />
-    <PackageReference Include="System.ClientModel" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative\Microsoft.Agents.AI.Workflows.Declarative.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Foundry\Microsoft.Agents.AI.Workflows.Declarative.Foundry.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows.Declarative.Mcp\Microsoft.Agents.AI.Workflows.Declarative.Mcp.csproj" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <None Include="InvokeFoundryToolboxMcp.yaml">
-      <CopyToOutputDirectory>Always</CopyToOutputDirectory>
-    </None>
-  </ItemGroup>
-
-</Project>
@@ -1,87 +0,0 @@
-#
-# This workflow demonstrates invoking MCP tools through a Foundry toolbox MCP proxy.
-#
-# The toolbox is provisioned with TWO different tool types:
-#   1. A Foundry built-in web_search tool
-#   2. A Microsoft Learn MCP server (microsoft_docs)
-# Both are surfaced through the same MCP-compatible toolbox endpoint.
-#
-# The workflow:
-# 1. Accepts a documentation/web search query as input
-# 2. Lists the tools exposed by the Foundry toolbox using reserved toolName: tools/list
-# 3. Invokes the microsoft_docs_search MCP tool
-# 4. Invokes the built-in web_search tool against the same toolbox endpoint
-# 5. Uses an agent to summarize and combine both result sets
-#
-# Example input:
-# How do I use Azure OpenAI with my data?
-#
-kind: Workflow
-trigger:
-
-  kind: OnConversationStart
-  id: workflow_invoke_foundry_toolbox_mcp
-  actions:
-
-    # Set the search query from user input.
-    - kind: SetVariable
-      id: set_search_query
-      variable: Local.SearchQuery
-      value: =System.LastMessage.Text
-
-    # List tools exposed by the Foundry toolbox MCP proxy.
-    - kind: InvokeMcpTool
-      id: list_toolbox_tools
-      serverUrl: =Env.FOUNDRY_TOOLBOX_MCP_SERVER_URL
-      serverLabel: foundry_toolbox
-      toolName: tools/list
-      conversationId: =System.ConversationId
-      headers:
-        Foundry-Features: Toolboxes=V1Preview
-      output:
-        autoSend: true
-        result: Local.ToolboxTools
-
-    # Invoke a specific tool exposed through the toolbox and add the result to the conversation.
-    - kind: InvokeMcpTool
-      id: search_docs_with_toolbox
-      serverUrl: =Env.FOUNDRY_TOOLBOX_MCP_SERVER_URL
-      serverLabel: foundry_toolbox
-      toolName: =Env.FOUNDRY_TOOLBOX_DOCS_SERVER_LABEL & "___microsoft_docs_search"
-      conversationId: =System.ConversationId
-      headers:
-        Foundry-Features: Toolboxes=V1Preview
-      arguments:
-        query: =Local.SearchQuery
-      output:
-        autoSend: true
-        result: Local.SearchResult
-
-    # Invoke the web_search built-in tool through the same toolbox proxy. The toolbox surfaces
-    # built-in Foundry tools (like web_search) alongside MCP tools through one MCP-compatible
-    # endpoint. Note that web_search expects argument 'search_query' (not 'query').
-    - kind: InvokeMcpTool
-      id: search_web_with_toolbox
-      serverUrl: =Env.FOUNDRY_TOOLBOX_MCP_SERVER_URL
-      serverLabel: foundry_toolbox
-      toolName: =Env.FOUNDRY_TOOLBOX_WEB_SEARCH_TOOL_NAME
-      conversationId: =System.ConversationId
-      headers:
-        Foundry-Features: Toolboxes=V1Preview
-      arguments:
-        search_query: =Local.SearchQuery
-      output:
-        autoSend: true
-        result: Local.WebSearchResult
-
-    # Use the agent to summarize what happened and answer from the toolbox result.
-    - kind: InvokeAzureAgent
-      id: summarize_toolbox_result
-      agent:
-        name: FoundryToolboxMcpAgent
-      conversationId: =System.ConversationId
-      input:
-        messages: =UserMessage("Combine the Microsoft Learn docs results and the Foundry web search results in the conversation to answer the query " & Local.SearchQuery)
-      output:
-        autoSend: true
-        messages: Local.Summary
@@ -1,218 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates using InvokeMcpTool to call MCP tools through a Foundry toolbox.
-// It creates a sample toolbox that exposes Microsoft Learn MCP tools, lists the toolbox tools
-// through the reserved tools/list operation, then calls microsoft_docs_search from the workflow.
-
-using System.ClientModel;
-using System.ClientModel.Primitives;
-using System.Collections.Concurrent;
-using System.Net.Http.Headers;
-using Azure.AI.Projects;
-using Azure.AI.Projects.Agents;
-using Azure.Core;
-using Azure.Identity;
-using Microsoft.Agents.AI.Workflows.Declarative.Mcp;
-using Microsoft.Extensions.Configuration;
-using OpenAI.Responses;
-using Shared.Foundry;
-using Shared.Workflows;
-
-#pragma warning disable OPENAI001 // Experimental API
-#pragma warning disable AAIP001 // AgentToolboxes is experimental
-
-namespace Demo.Workflows.Declarative.InvokeFoundryToolboxMcp;
-
-/// <summary>
-/// Demonstrates a workflow that uses InvokeMcpTool to call MCP tools exposed through a Foundry toolbox.
-/// </summary>
-/// <remarks>
-/// This sample provisions a toolbox with Microsoft Learn MCP tools, uses the reserved
-/// <c>tools/list</c> tool name to list the toolbox tools, calls one specific toolbox tool,
-/// and has a Foundry agent summarize the results.
-/// </remarks>
-internal sealed class Program
-{
-    private const string ToolboxNameSetting = "FOUNDRY_TOOLBOX_NAME";
-    private const string ToolboxApiVersionSetting = "FOUNDRY_AGENT_TOOLSET_API_VERSION";
-    private const string ToolboxMcpServerUrlSetting = "FOUNDRY_TOOLBOX_MCP_SERVER_URL";
-    private const string DocsServerLabelSetting = "FOUNDRY_TOOLBOX_DOCS_SERVER_LABEL";
-    private const string WebSearchToolNameSetting = "FOUNDRY_TOOLBOX_WEB_SEARCH_TOOL_NAME";
-    private const string DefaultToolboxName = "declarative_foundry_toolbox_mcp";
-    private const string DefaultToolboxApiVersion = "v1";
-    private const string DefaultDocsServerLabel = "microsoft_docs";
-    private const string DefaultWebSearchToolName = "web_search";
-
-    public static async Task Main(string[] args)
-    {
-        // Initialize configuration
-        IConfiguration configuration = Application.InitializeConfig();
-        Uri foundryEndpoint = new(configuration.GetValue(Application.Settings.FoundryEndpoint));
-        string toolboxName = configuration[ToolboxNameSetting] ?? DefaultToolboxName;
-        string toolboxApiVersion = configuration[ToolboxApiVersionSetting] ?? DefaultToolboxApiVersion;
-        string docsServerLabel = configuration[DocsServerLabelSetting] ?? DefaultDocsServerLabel;
-        string webSearchToolName = configuration[WebSearchToolNameSetting] ?? DefaultWebSearchToolName;
-
-        // 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.
-        DefaultAzureCredential credential = new();
-
-        // Ensure sample toolbox and agent exist in Foundry
-        string toolboxEndpoint = await CreateSampleToolboxAsync(toolboxName, docsServerLabel, foundryEndpoint, credential);
-        string toolboxMcpServerUrl = BuildToolboxMcpServerUrl(toolboxEndpoint, toolboxName, toolboxApiVersion);
-        IConfiguration workflowConfiguration = new ConfigurationBuilder()
-            .AddConfiguration(configuration)
-            .AddInMemoryCollection(new Dictionary<string, string?>
-            {
-                [ToolboxMcpServerUrlSetting] = toolboxMcpServerUrl,
-                [DocsServerLabelSetting] = docsServerLabel,
-                [WebSearchToolNameSetting] = webSearchToolName,
-            })
-            .Build();
-
-        await CreateAgentAsync(foundryEndpoint, configuration, credential);
-
-        // Get input from command line or console
-        string workflowInput = Application.GetInput(args);
-
-        // Create the MCP tool handler for invoking the Foundry toolbox MCP proxy.
-        ConcurrentBag<HttpClient> createdHttpClients = [];
-        DefaultMcpToolHandler mcpToolHandler = new(
-            httpClientProvider: async (serverUrl, _) =>
-            {
-                await Task.CompletedTask.ConfigureAwait(false);
-
-                if (!string.Equals(serverUrl, toolboxMcpServerUrl, StringComparison.OrdinalIgnoreCase))
-                {
-                    return null;
-                }
-
-                FoundryToolboxBearerTokenHandler handler = new(credential)
-                {
-                    InnerHandler = new HttpClientHandler()
-                };
-                HttpClient httpClient = new(handler);
-                createdHttpClients.Add(httpClient);
-                return httpClient;
-            });
-
-        try
-        {
-            // Create the workflow factory with MCP tool provider
-            WorkflowFactory workflowFactory = new("InvokeFoundryToolboxMcp.yaml", foundryEndpoint)
-            {
-                Configuration = workflowConfiguration,
-                McpToolHandler = mcpToolHandler
-            };
-
-            // Execute the workflow
-            WorkflowRunner runner = new() { UseJsonCheckpoints = true };
-            await runner.ExecuteAsync(workflowFactory.CreateWorkflow, workflowInput);
-        }
-        finally
-        {
-            // Clean up connections and dispose created HttpClients
-            await mcpToolHandler.DisposeAsync();
-
-            foreach (HttpClient httpClient in createdHttpClients)
-            {
-                httpClient.Dispose();
-            }
-        }
-    }
-
-    private static async Task CreateAgentAsync(Uri foundryEndpoint, IConfiguration configuration, TokenCredential credential)
-    {
-        AIProjectClient aiProjectClient = new(foundryEndpoint, credential);
-
-        await aiProjectClient.CreateAgentAsync(
-            agentName: "FoundryToolboxMcpAgent",
-            agentDefinition: DefineToolboxAgent(configuration),
-            agentDescription: "Summarizes Foundry toolbox MCP tool results");
-    }
-
-    private static DeclarativeAgentDefinition DefineToolboxAgent(IConfiguration configuration)
-    {
-        return new DeclarativeAgentDefinition(configuration.GetValue(Application.Settings.FoundryModel))
-        {
-            Instructions =
-                """
-                You are a helpful assistant that explains results produced by tools exposed through a Foundry toolbox.
-                The conversation history contains output from BOTH a Microsoft Learn documentation search (MCP) and a Foundry web search.
-                Synthesize an answer that draws on both sources, calls out where they agree or differ, and notes which toolbox tool produced each fact when it is relevant.
-                Be concise.
-                """
-        };
-    }
-
-    private static async Task<string> CreateSampleToolboxAsync(string name, string serverLabel, Uri foundryEndpoint, TokenCredential credential)
-    {
-        AgentAdministrationClientOptions options = new();
-        options.AddPolicy(new FoundryFeaturesPolicy("Toolboxes=V1Preview"), PipelinePosition.PerCall);
-        AgentAdministrationClient adminClient = new(foundryEndpoint, credential, options);
-        AgentToolboxes toolboxClient = adminClient.GetAgentToolboxes();
-
-        try
-        {
-            await toolboxClient.DeleteToolboxAsync(name);
-            Console.WriteLine($"Deleted existing toolbox '{name}'");
-        }
-        catch (ClientResultException ex) when (ex.Status == 404)
-        {
-            // Toolbox does not exist.
-        }
-
-        ProjectsAgentTool webTool = ProjectsAgentTool.AsProjectTool(ResponseTool.CreateWebSearchTool());
-
-        ProjectsAgentTool mcpTool = ProjectsAgentTool.AsProjectTool(ResponseTool.CreateMcpTool(
-            serverLabel: serverLabel,
-            serverUri: new Uri("https://learn.microsoft.com/api/mcp"),
-            toolCallApprovalPolicy: new McpToolCallApprovalPolicy(GlobalMcpToolCallApprovalPolicy.NeverRequireApproval)));
-
-        ToolboxVersion created = (await toolboxClient.CreateToolboxVersionAsync(
-            name: name,
-            tools: [webTool, mcpTool],
-            description: "Sample toolbox combining Foundry web search with the Microsoft Learn MCP tools for the declarative InvokeFoundryToolboxMcp sample.")).Value;
-
-        Console.WriteLine($"Created toolbox '{created.Name}' v{created.Version} ({created.Tools.Count} tool(s))");
-
-        return $"{foundryEndpoint.ToString().TrimEnd('/')}/toolboxes";
-    }
-
-    private static string BuildToolboxMcpServerUrl(string toolboxEndpoint, string toolboxName, string apiVersion) =>
-        $"{toolboxEndpoint.TrimEnd('/')}/{toolboxName}/mcp?api-version={Uri.EscapeDataString(apiVersion)}";
-
-    private sealed class FoundryToolboxBearerTokenHandler(TokenCredential credential) : DelegatingHandler
-    {
-        private static readonly TokenRequestContext s_tokenContext =
-            new(["https://ai.azure.com/.default"]);
-
-        protected override async Task<HttpResponseMessage> SendAsync(
-            HttpRequestMessage request,
-            CancellationToken cancellationToken)
-        {
-            AccessToken token = await credential.GetTokenAsync(s_tokenContext, cancellationToken);
-            request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token.Token);
-
-            return await base.SendAsync(request, cancellationToken);
-        }
-    }
-
-    private sealed class FoundryFeaturesPolicy(string feature) : PipelinePolicy
-    {
-        private const string FeatureHeader = "Foundry-Features";
-
-        public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
-        {
-            message.Request.Headers.Add(FeatureHeader, feature);
-            ProcessNext(message, pipeline, currentIndex);
-        }
-
-        public override ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int currentIndex)
-        {
-            message.Request.Headers.Add(FeatureHeader, feature);
-            return ProcessNextAsync(message, pipeline, currentIndex);
-        }
-    }
-}
@@ -1,76 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates evaluating a multi-agent workflow against a
-// golden answer using Foundry's reference-based Similarity evaluator.
-
-using Azure.AI.Projects;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Workflows;
-using Microsoft.Extensions.AI;
-using FoundryEvals = Microsoft.Agents.AI.Foundry.FoundryEvals;
-
-string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
-    ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-
-// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-AIProjectClient projectClient = new(new Uri(endpoint), new DefaultAzureCredential());
-
-// Build a two-agent workflow: a researcher writes a draft answer, then an
-// editor polishes it into the final response that we compare to ground truth.
-// EmitAgentResponseEvents is enabled so the workflow surfaces an AgentResponseEvent
-// for each agent — this is what EvaluateAsync uses to find the overall final answer.
-var hostOptions = new AIAgentHostOptions { EmitAgentResponseEvents = true };
-
-AIAgent researcher = projectClient.AsAIAgent(
-    model: deploymentName,
-    instructions: "You research questions and produce a short factual draft answer.",
-    name: "researcher");
-
-AIAgent editor = projectClient.AsAIAgent(
-    model: deploymentName,
-    instructions: "You take a draft answer and produce the final concise response.",
-    name: "editor");
-
-ExecutorBinding researcherExecutor = researcher.BindAsExecutor(hostOptions);
-ExecutorBinding editorExecutor = editor.BindAsExecutor(hostOptions);
-
-Workflow workflow = new WorkflowBuilder(researcherExecutor)
-    .AddEdge(researcherExecutor, editorExecutor)
-    .Build();
-
-// Run the workflow against the user question.
-const string Query = "What is the capital of France?";
-const string GroundTruth = "Paris";
-
-await using Run run = await InProcessExecution.RunAsync(
-    workflow,
-    new ChatMessage(ChatRole.User, Query));
-
-// Evaluate the overall workflow output against a golden answer using the
-// reference-based Similarity evaluator. The 'expectedOutput' value is stamped
-// onto the overall EvalItem.ExpectedOutput and is surfaced to Foundry as
-// `ground_truth` in the underlying JSONL payload.
-//
-// Per-agent breakdown is disabled here: ground truth applies to the workflow's
-// final answer, not to each sub-agent's intermediate output. Without
-// includePerAgent: false, the evaluator would be invoked for per-agent items
-// (which have no ExpectedOutput) and Similarity would fail validation.
-FoundryEvals similarity = new(projectClient, deploymentName, FoundryEvals.Similarity);
-
-AgentEvaluationResults results = await run.EvaluateAsync(
-    similarity,
-    includePerAgent: false,
-    expectedOutput: GroundTruth);
-
-Console.WriteLine($"Query: {Query}");
-Console.WriteLine($"Expected: {GroundTruth}");
-Console.WriteLine($"Provider: {results.ProviderName}");
-Console.WriteLine($"Passed: {results.Passed}/{results.Total}");
-if (results.ReportUrl is not null)
-{
-    Console.WriteLine($"Report: {results.ReportUrl}");
-}
@@ -1,37 +0,0 @@
-# Evaluation - Workflow Expected Outputs
-
-This sample demonstrates evaluating a multi-agent workflow's final answer
-against a golden expected output using Foundry's reference-based **Similarity**
-evaluator.
-
-## What this sample demonstrates
-
- Building a small researcher → editor workflow
- Running the workflow and obtaining a `Run`
- Calling `run.EvaluateAsync(evaluator, expectedOutput: ...)` to attach a
-  ground-truth answer to the overall workflow item
- Using `FoundryEvals.Similarity`, which requires a `ground_truth` value
-  per item
-
-The `expectedOutput` value is stamped onto the overall `EvalItem.ExpectedOutput`
-and is surfaced to Foundry as `ground_truth` in the JSONL payload sent to the
-Evals API.
-
-## Prerequisites
-
- .NET 10 SDK or later
- Azure CLI installed and authenticated (`az login`)
-
-Set the following environment variables:
-
-```powershell
-$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
-```
-
-## Run the sample
-
-```powershell
-cd dotnet/samples/03-workflows/Evaluation
-dotnet run --project .\Evaluation_WorkflowExpectedOutputs
-```
@@ -1,8 +0,0 @@
-AZURE_AI_PROJECT_ENDPOINT=<your-azure-ai-project-endpoint>
-AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
-AZURE_SEARCH_ENDPOINT=<your-azure-search-endpoint>
-AZURE_SEARCH_INDEX_NAME=contoso-outdoors
-AZURE_BEARER_TOKEN_FOUNDRY=DefaultAzureCredential
-AZURE_BEARER_TOKEN_SEARCH=DefaultAzureCredential
-ASPNETCORE_URLS=http://+:8088
-ASPNETCORE_ENVIRONMENT=Development
@@ -1,17 +0,0 @@
-# Use the official .NET 10.0 ASP.NET runtime as a parent image
-FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS base
-WORKDIR /app
-
-FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
-WORKDIR /src
-COPY . .
-RUN dotnet restore
-RUN dotnet publish -c Release -o /app/publish
-
-# Final stage
-FROM base AS final
-WORKDIR /app
-COPY --from=build /app/publish .
-EXPOSE 8088
-ENV ASPNETCORE_URLS=http://+:8088
-ENTRYPOINT ["dotnet", "HostedAzureSearchRag.dll"]
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Eduard van Valkenburg GitHub Copilot	7d4c3723a7	Python: add test for empty-message pruning in approval result replacement (#5617 ) Adds test coverage for the second-pass logic in `_replace_approval_contents_with_results` that removes messages whose `contents` list becomes empty after first-pass content removal. Addresses review comment on PR #5331: https://github.com/microsoft/agent-framework/pull/5331#discussion_r3129039445 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>	2026-05-04 10:19:45 +02:00
shrutitopleandeavanvalkenburg	9711562c9e	Python: Address PR 5331 comments and track sesssion while calling Agent in email_security_example (#5446 ) * Address PR review: fix paths and update FIDES implementation * Address PR comments and add session tracking in email example in samples * Fix session creation and resolve merge conflict in docstring example * Resolve merge conflict in docstring example	2026-05-04 10:00:41 +02:00
Eduard van Valkenburg eavanvalkenburg Copilot	14d779c0fb	Python: updated import naming and comment from review (#5421 ) * updated import naming and comment from review * Add approval replay None call-id test Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>	2026-05-04 09:58:52 +02:00
shrutitopleandeavanvalkenburg	2607ba1b36	Address PR review: fix paths and update FIDES implementation (#5352 )	2026-05-04 09:58:09 +02:00
Eduard van Valkenburg eavanvalkenburg Copilot	912961b10c	Python: follow up FIDES security flow (#5330 ) * Python: follow up FIDES security flow Refine the secure approval path, mark the security classes with the FIDES experimental feature label, and clean up the related docs/tests. Also fix workspace-level validation regressions uncovered while running the full Python check suite. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: remove FIDES GitHub MCP sample Drop the GitHub MCP security sample from the FIDES follow-up branch while keeping the remaining security docs and samples intact. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>	2026-05-04 09:58:09 +02:00
shrutitople eavanvalkenburg Aashish	8a08776a32	Python: Information-flow control based prompt injection defense (#5024 ) * fides integration * documentation * documentation * documentation * human-approval on policy violation * numenous hyena 'works' * IFC based implementation * minor edits in documentation * rebasing the branch and running the email example * Add security tests for IFC middleware * Fix Role.TOOL NameError in approval handling * tiered labelling scheme * 3 tier labelling scheme in middleware * Adapt security middleware to list[Content] tool results * Refactor SecureAgentConfig as context provider and address Copilot review comments * Update FIDES docs to reflect context provider pattern and update code for ContextProvider rename * Fix security examples: use OpenAIChatClient instead of non-existent AzureOpenAIChatClient * Address PR review: consolidate security modules, remove ContentLineage, update docs * remove unrelated files * remove comment from _tools.py and rename decision file * Fix CI failures: Bandit B110, broken md links, hosted approval passthrough * apply template to decision doc 0024 * minor fixes to decision doc 0024 --------- Co-authored-by: Aashish <t-akolluri@microsoft.com>	2026-05-04 09:57:37 +02:00