Remove duplicate WebhookKey properties from merge

Both our branch and main added WebhookKey to the Anthropic test
mock classes, resulting in CS0102 duplicate definition errors.

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

.github/actions/python-setup/action.yml

@@ -32,13 +32,7 @@ runs:
               if grep -q "name = \"$pkg\"" "$f"; then
                 pkg_dir=$(dirname "$f" | sed 's|python/||')
                 echo "Excluding workspace package: $pkg ($pkg_dir)"
-                if awk '/^\[tool\.uv\.workspace\]/{f=1;next} /^\[/{f=0} f && /^exclude = \[/{found=1} END{exit !found}' python/pyproject.toml; then
-                  if ! awk '/^\[tool\.uv\.workspace\]/{f=1;next} /^\[/{f=0} f && /^exclude = \[/ && index($0, "\"'"$pkg_dir"'\"")' python/pyproject.toml | grep -q .; then
-                    sed -i.bak '/\[tool\.uv\.workspace\]/,/^\[/ { /^exclude = \[/ s|\]|, "'"$pkg_dir"'"]| }' python/pyproject.toml
-                  fi
-                else
-                  sed -i.bak '/\[tool\.uv\.workspace\]/a\exclude = ["'"$pkg_dir"'"]' python/pyproject.toml
-                fi
+                sed -i.bak '/\[tool\.uv\.workspace\]/a\exclude = ["'"$pkg_dir"'"]' python/pyproject.toml
                 sed -i.bak '/'"$pkg"' = { workspace = true }/d' python/pyproject.toml
               fi
             done
@@ -46,4 +40,4 @@ runs:
       - name: Install the project
         shell: bash
         run: |
-          cd python && uv sync --all-packages --all-extras --dev --prerelease=if-necessary-or-explicit
+          cd python && uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit

.github/workflows/issue-triage.yml

@@ -149,14 +149,16 @@ jobs:
             --apply-labels
 
       - name: Stop after spam gate
-        if: ${{ steps.spam.outputs.allow_triage != 'true' }}
+        if: ${{ steps.spam.outputs.decision != 'allow' }}
         shell: bash
+        env:
+          SPAM_DECISION: ${{ steps.spam.outputs.decision }}
         run: |
-          echo "Stopping: issue triage preflight did not allow automation."
+          echo "Stopping: spam gate decided: ${SPAM_DECISION}"
           exit 1
 
       - name: Reproduce reported issue
-        if: ${{ steps.spam.outputs.allow_triage == 'true' }}
+        if: ${{ steps.spam.outputs.decision == 'allow' }}
         id: repro
         working-directory: ${{ env.DEVFLOW_PATH }}
         env:

.github/workflows/merge-gatekeeper.yml

@@ -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

.gitignore

@@ -246,5 +246,3 @@ dotnet/filtered-*.slnx
 # Local tool state
 .omc/
 .omx/
-
-**/issues/

docs/decisions/0026-hosted-session-identity-context.md

@@ -1,84 +0,0 @@
----
-status: accepted
-contact: rogerbarreto
-date: 2026-05-07
-deciders: rogerbarreto
-consulted: []
-informed: []
----
-
-# Hosted session identity context for Foundry Hosting
-
-## Context and Problem Statement
-
-Server-hosted Foundry agents need a way to scope per-user state (most notably `FoundryMemoryProvider` memories) by the end user that initiated the request. The Foundry platform already injects `x-agent-user-isolation-key` and `x-agent-chat-isolation-key` headers on every Responses request, but the agent-framework hosting layer did not surface those values to `AIContextProvider` instances. The provider's `stateInitializer` only received an `AgentSession?` with no identity attached, so per-user scoping was impossible without out-of-band plumbing.
-
-## Decision Drivers
-
-- Memory and any future user-private context must be partitioned per end user without per-sample boilerplate.
-- The identity must be **read-only** from the perspective of `AIContextProvider`s, so a buggy or hostile provider cannot escalate or leak across users.
-- The persisted session must validate against the live request on every resume to defend against session-id leak and in-process tampering.
-- The change must work for every existing hosted-agent type (`ChatClientAgent`, `FoundryAgent`, future ones) without per-type refactoring of cast-heavy code paths in `Microsoft.Agents.AI`.
-- Local Docker debugging must remain possible when the platform headers are absent.
-
-## Considered Options
-
-1. **`HostedSessionContext` stored in `AgentSessionStateBag`, exposed via a public read accessor and an `internal` setter.** Hosting writes once on session creation and validates on every resume.
-2. **Specialised `HostedAgentSession : AgentSession` wrapper** that carries `UserId`/`ChatId` properties, with `GetService<ChatClientAgentSession>()` as the unwrap escape hatch.
-3. **New property on `AgentSession` base class** (`HostedSessionContext? HostedContext { get; internal set; }`).
-4. **AsyncLocal middleware** that reads the headers and stuffs them into a per-request `AsyncLocal<HostedSessionContext>` consumed by the provider.
-
-For the source of identity:
-- A. The platform-injected `IsolationContext` exposed by `ResponseContext.Isolation` (typed `UserIsolationKey`/`ChatIsolationKey`).
-- B. The OpenAI Responses spec's top-level `request.User` field.
-- C. A custom HTTP header `x-client-user`.
-
-## Decision Outcome
-
-**Option 1** was chosen for the storage shape, sourced from **Option A** (`ResponseContext.Isolation`).
-
-Rationale:
-
-- **Wrapper rejected (Option 2).** `ChatClientAgentSession` is `sealed` and `ChatClientAgent` rejects any other session type via direct `is not ChatClientAgentSession` checks at multiple call sites. Wrapping would force non-trivial refactors across `Microsoft.Agents.AI` and a corresponding repeat for every other agent type.
-- **Base-class property rejected (Option 3).** Leaks "hosted" semantics into the universal `AgentSession` abstraction used by Durable, A2A, and CopilotStudio agents that have no notion of a hosted user.
-- **AsyncLocal rejected (Option 4).** Surfaces the concept only locally, requires every consumer to re-implement the bridge, and cannot be enforced as read-only.
-- **`request.User` rejected (Option B).** Set by the caller, not the platform. Forging it client-side trivially defeats per-user partitioning.
-- **`x-client-user` rejected (Option C).** Non-standard, requires custom HTTP plumbing, and duplicates the platform-provided isolation contract.
-
-Implementation summary in `Microsoft.Agents.AI.Foundry.Hosting`:
-
-| Type | Visibility | Purpose |
-|---|---|---|
-| `HostedSessionContext` | public sealed | Captures `UserId` and `ChatId` (both required, non-whitespace). |
-| `HostedSessionContextExtensions.GetHostedContext` | public | Read accessor for `AIContextProvider`s. |
-| `HostedSessionContextExtensions.SetHostedContext` | internal | Writer reserved for the hosting assembly. Backed by `AgentSessionStateBag` under a well-known key for serialisation. |
-| `HostedSessionIsolationKeyProvider` (abstract) | public | DI-resolvable factory. Async signature: `ValueTask<HostedSessionContext?> GetKeysAsync(ResponseContext, CreateResponse, CancellationToken)`. |
-| `PlatformHostedSessionIsolationKeyProvider` | internal sealed | Default implementation. Maps `context.Isolation.UserIsolationKey` and `context.Isolation.ChatIsolationKey`. Returns `null` when either is absent. |
-
-Behaviour added to `AgentFrameworkResponseHandler.CreateAsync`:
-
-1. Resolve `HostedSessionIsolationKeyProvider` from DI; fall back to `PlatformHostedSessionIsolationKeyProvider`.
-2. Call `GetKeysAsync(context, request, cancellationToken)`. A `null` result throws `InvalidOperationException` (becomes 500). A null/whitespace `UserId` or `ChatId` is rejected by `HostedSessionContext`'s constructor.
-3. Branch on the **session's existing context**, not on whether a `conversation_id` was supplied:
-   - **No session (`session is null`):** nothing to stamp; skip.
-   - **Session present but un-stamped (`GetHostedContext() is null`):** treat as fresh. This covers both newly-created sessions and pre-existing sessions whose `conversation_id` was provisioned externally (e.g. via `conversations.CreateProjectConversationAsync()`) before the first hosted-agent request. Stamp the resolved identity now.
-   - **Session present with stamped context:** strict resume. The persisted `UserId` and `ChatId` must equal the resolved values exactly. Mismatch throws `ResponsesApiException` with status 403 and body `Hosted session identity context mismatch`.
-
-## Consequences
-
-Positive:
-
-- Per-user memory partitioning works out of the box for any agent that consumes a `Microsoft.Agents.AI.Foundry.FoundryMemoryProvider` configured to read `session.GetHostedContext().UserId`.
-- Cross-user session-id leak and in-process tampering of the persisted identity both surface as a 403 with a deliberately uninformative body.
-- The identity is opaque to the framework, matching the platform's semantics. The framework never inspects user identity; the `IsolationContext` keys are pre-partitioned per agent.
-
-Negative:
-
-- Every existing hosted sample fails locally without a `HostedSessionIsolationKeyProvider` registered, because the platform headers are absent outside the platform. Mitigated by shipping `Hosted_Shared_Contributor_Setup` with `DevTemporaryLocalSessionIsolationKeyProvider` and `AddDevTemporaryLocalContributorSetup`, and migrating all 9 existing responses samples.
-- An attacker who can plant an un-stamped session under a victim's `conversation_id` *before* the victim's first hosted-agent request would be stamped with the attacker's identity on that first request. This is not a regression vs. behaviour without this contract, and is mitigated in practice because the `conversation_id` namespace is allocated by the platform per project. Once a session is stamped, the strict equality check fully defends the resume path.
-
-## Out of scope
-
-- Per-request `User` field on `CreateResponse` is intentionally not consumed; only the platform `IsolationContext` headers carry trustworthy identity.
-- Generic (non-Foundry) hosting layers can re-define an equivalent type if needed; nothing in this ADR is moved into `Microsoft.Agents.AI.Hosting` because `Microsoft.Agents.AI.Foundry.Hosting` does not depend on it.
-- HMAC tamper signatures over the persisted context are not implemented; comparison against `ResponseContext.Isolation` on every request is sufficient because the platform sets those headers at the trust boundary.

dotnet/Directory.Packages.props

@@ -26,10 +26,10 @@
     <PackageVersion Include="Azure.AI.AgentServer.Invocations" Version="1.0.0-beta.3" />
     <PackageVersion Include="Azure.AI.AgentServer.Responses" Version="1.0.0-beta.4" />
     <PackageVersion Include="Azure.Search.Documents" Version="12.0.0" />
-    <PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.2" />
+    <PackageVersion Include="Azure.AI.Projects" Version="2.1.0-beta.1" />
     <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="1.55.0" />
+    <PackageVersion Include="Azure.Core" Version="1.53.0" />
     <PackageVersion Include="Azure.Identity" Version="1.21.0" />
     <PackageVersion Include="DotNetEnv" Version="3.1.1" />
     <PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.5.0" />
@@ -44,7 +44,7 @@
     <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.6" />
     <PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
     <PackageVersion Include="Microsoft.Bcl.Memory" Version="10.0.5" />
-    <PackageVersion Include="System.ClientModel" Version="1.11.0" />
+    <PackageVersion Include="System.ClientModel" Version="1.10.0" />
     <PackageVersion Include="System.CodeDom" Version="10.0.0" />
     <PackageVersion Include="System.Collections.Immutable" Version="10.0.1" />
     <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
@@ -112,7 +112,6 @@
     <PackageVersion Include="ModelContextProtocol" Version="1.1.0" />
     <!-- Hyperlight -->
     <PackageVersion Include="Hyperlight.HyperlightSandbox.Api" Version="0.4.0" />
-    <PackageVersion Include="Hyperlight.HyperlightSandbox.Guest.Python" Version="0.4.0" />
     <!-- Inference SDKs -->
     <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
     <PackageVersion Include="Microsoft.ML.Tokenizers" Version="2.0.0" />

dotnet/agent-framework-dotnet.slnx

@@ -122,9 +122,8 @@
     <File Path="samples/02-agents/Harness/README.md" />
     <Project Path="samples/02-agents/Harness/Harness_Shared_Console/Harness_Shared_Console.csproj" />
     <Project Path="samples/02-agents/Harness/Harness_Step01_Research/Harness_Step01_Research.csproj" />
-    <Project Path="samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents/Harness_Step02_Research_WithBackgroundAgents.csproj" />
+    <Project Path="samples/02-agents/Harness/Harness_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/Harness_Step04_CodeExecution/Harness_Step04_CodeExecution.csproj" />
     <Project Path="samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveFramework.csproj" />
     <Project Path="samples/02-agents/Harness/ConsoleReactiveComponents/ConsoleReactiveComponents.csproj" />
   </Folder>
@@ -243,7 +242,6 @@
     <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" />
@@ -300,7 +298,6 @@
   </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>
@@ -328,15 +325,9 @@
   <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-MemoryAgent/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/HostedMemoryAgent.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_Shared_Contributor_Setup/">
-    <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted_Shared_Contributor_Setup/Hosted_Shared_Contributor_Setup.csproj" />
-  </Folder>
   <Folder Name="/Samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/">
     <Project Path="samples/04-hosting/FoundryHostedAgents/responses/Hosted-Toolbox/HostedToolbox.csproj" />
   </Folder>
@@ -591,7 +582,6 @@
     <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" />
@@ -646,7 +636,6 @@
     <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" />

dotnet/agent-framework-release.slnf

@@ -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",

dotnet/eng/verify-samples/WorkflowSamples.cs

@@ -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",

dotnet/nuget/nuget-package.props

@@ -1,14 +1,14 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.6.1</VersionPrefix>
+    <VersionPrefix>1.5.0</VersionPrefix>
     <RCNumber>1</RCNumber>
-    <DateSuffix>260514</DateSuffix>
+    <DateSuffix>260507</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>1.5.0</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/Program.cs

@@ -20,18 +20,22 @@ 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.
+// Must match the `<name>` segment of FOUNDRY_TOOLBOX_ENDPOINT.
 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";
+string toolboxEndpoint = Environment.GetEnvironmentVariable("FOUNDRY_TOOLBOX_ENDPOINT")
+    ?? throw new InvalidOperationException(
+        "FOUNDRY_TOOLBOX_ENDPOINT is not set. Example: " +
+        "https://<account>.services.ai.azure.com/api/projects/<project>/toolsets/<name>/mcp?api-version=2025-05-01-preview");
 
 TokenCredential credential = new DefaultAzureCredential();
 
 // Comment out if the toolbox already exists in your Foundry project.
-var toolboxEndpoint = await CreateSampleToolboxAsync(ToolboxName, endpoint, credential);
+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")
@@ -47,11 +51,6 @@ await using McpClient mcpClient = await McpClient.CreateAsync(
         {
             Endpoint = new Uri(toolboxEndpoint),
             Name = "foundry_toolbox",
-            TransportMode = HttpTransportMode.StreamableHttp,
-            AdditionalHeaders = new Dictionary<string, string>
-            {
-                ["Foundry-Features"] = "Toolboxes=V1Preview",
-            },
         },
         httpClient));
 
@@ -75,7 +74,7 @@ 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)
+static async Task 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
@@ -104,13 +103,12 @@ static async Task<string> CreateSampleToolboxAsync(string name, string endpoint,
         serverUri: new Uri("https://gitmcp.io/Azure/azure-rest-api-specs"),
         toolCallApprovalPolicy: new McpToolCallApprovalPolicy(GlobalMcpToolCallApprovalPolicy.NeverRequireApproval)));
 
-    ToolboxVersion created = (await toolboxClient.CreateToolboxVersionAsync(
+    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))");
-    return $"{endpoint}/toolboxes/{created.Name}/mcp?api-version=v{created.Version}";
 }
 
 // ---------------------------------------------------------------------------

dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/README.md

@@ -19,11 +19,10 @@ Set the following environment variables:
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
 $env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
+$env:FOUNDRY_TOOLBOX_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project/toolsets/research_toolbox/mcp?api-version=2025-05-01-preview"
 ```
 
-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}`.
+The `<name>` segment of `FOUNDRY_TOOLBOX_ENDPOINT` must match the `ToolboxName` constant in `Program.cs`.
 
 ## Run the sample
 

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/AnsiEscapes.cs

@@ -24,11 +24,6 @@ public static class AnsiEscapes
     /// </summary>
     public static string MoveCursor(int row, int column) => $"\x1b[{row};{column}H";
 
-    /// <summary>
-    /// Erases the current line from the cursor position to the end of the line (EL 0).
-    /// </summary>
-    public static string EraseToEndOfLine => "\x1b[0K";
-
     /// <summary>
     /// Erases the entire current line (EL 2).
     /// </summary>

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/ListSelection.cs

@@ -39,7 +39,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
         {
             foreach (string line in props.Title.Split('\n'))
             {
-                Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
+                Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
                 Console.Write(AnsiEscapes.EraseEntireLine);
                 Console.Write(line);
                 row++;
@@ -51,7 +51,7 @@ public class ListSelection : ConsoleReactiveComponent<ListSelectionProps, Consol
 
         for (int i = 0; i < totalItems; i++)
         {
-            Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
+            Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
             Console.Write(AnsiEscapes.EraseEntireLine);
 
             bool isSelected = i == props.SelectedIndex;

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/TextInput.cs

@@ -58,11 +58,11 @@ public class TextInput : ConsoleReactiveComponent<TextInputProps, ConsoleReactiv
     public override void RenderCore(TextInputProps props, ConsoleReactiveState state)
     {
         int promptLength = props.Prompt.Length;
-        int textWidth = props.Width - promptLength;
+        int textWidth = this.Width - promptLength;
         string indent = new(' ', promptLength);
 
         // First line: prompt + start of text
-        Console.Write(AnsiEscapes.MoveCursor(props.Y, props.X));
+        Console.Write(AnsiEscapes.MoveCursor(this.Y, this.X));
         Console.Write(AnsiEscapes.EraseEntireLine);
         Console.Write(props.Prompt);
 
@@ -90,7 +90,7 @@ public class TextInput : ConsoleReactiveComponent<TextInputProps, ConsoleReactiv
         while (offset < props.Text.Length)
         {
             int chunk = Math.Min(textWidth, props.Text.Length - offset);
-            Console.Write(AnsiEscapes.MoveCursor(props.Y + row, props.X));
+            Console.Write(AnsiEscapes.MoveCursor(this.Y + row, this.X));
             Console.Write(AnsiEscapes.EraseEntireLine);
             Console.Write(indent);
             Console.Write(props.Text[offset..(offset + chunk)]);

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/TextPanel.cs

@@ -9,30 +9,42 @@ namespace Harness.ConsoleReactiveComponents;
 /// </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>Gets the items to render in the panel.</summary>
+    public IReadOnlyList<object> Items { get; init; } = [];
 }
 
 /// <summary>
-/// A component that renders a list of pre-rendered string items vertically.
+/// A component that renders a list of items vertically using a custom render delegate.
 /// Designed for rendering dynamic items in a non-scroll region that may be
-/// re-rendered on each update. If the component's <see cref="ConsoleReactiveProps.Height"/>
+/// 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>
 {
+    private readonly Func<object, string> _renderItem;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="TextPanel"/> class.
+    /// </summary>
+    /// <param name="renderItem">A delegate that renders an item and returns the text to display (may contain newlines).</param>
+    public TextPanel(Func<object, string> renderItem)
+    {
+        this._renderItem = renderItem;
+    }
+
     /// <summary>
     /// Calculates the height (in lines) needed to render all items.
     /// </summary>
     /// <param name="items">The items to measure.</param>
+    /// <param name="renderItem">The render delegate to use for measuring.</param>
     /// <returns>The total number of lines all items will occupy.</returns>
-    public static int CalculateHeight(IReadOnlyList<string> items)
+    public static int CalculateHeight(IReadOnlyList<object> items, Func<object, string> renderItem)
     {
         int total = 0;
         for (int i = 0; i < items.Count; i++)
         {
-            total += CountLines(items[i]);
+            string text = renderItem(items[i]);
+            total += CountLines(text);
         }
 
         return total;
@@ -45,24 +57,24 @@ public class TextPanel : ConsoleReactiveComponent<TextPanelProps, ConsoleReactiv
 
         for (int i = 0; i < props.Items.Count; i++)
         {
-            string text = props.Items[i];
+            string text = this._renderItem(props.Items[i]);
             string[] lines = text.Split('\n');
             int lineCount = CountLines(text);
 
             for (int j = 0; j < lineCount; j++)
             {
-                Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y + currentRow));
+                Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y + currentRow));
                 Console.Write(lines[j]);
                 currentRow++;
             }
         }
 
         // If the component height exceeds the output, erase leftover lines
-        if (props.Height > currentRow)
+        if (this.Height > currentRow)
         {
-            for (int i = currentRow; i < props.Height; i++)
+            for (int i = currentRow; i < this.Height; i++)
             {
-                Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y + i));
+                Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y + i));
             }
         }
     }

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/TextScrollPanel.cs

@@ -9,9 +9,8 @@ namespace Harness.ConsoleReactiveComponents;
 /// </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>Gets the items to render in the scroll panel.</summary>
+    public IReadOnlyList<object> Items { get; init; } = [];
 }
 
 /// <summary>
@@ -21,17 +20,21 @@ public record TextScrollPanelProps : ConsoleReactiveProps
 public record TextScrollPanelState(int RenderedCount = 0) : ConsoleReactiveState;
 
 /// <summary>
-/// A component that renders pre-rendered string items within a scroll area.
+/// A component that renders items within a scroll area using a custom render delegate.
 /// All items are considered finalized — only new items since the last render are output.
 /// Use <see cref="Reset"/> to force a full re-render.
 /// </summary>
 public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, TextScrollPanelState>
 {
+    private readonly Func<object, string> _renderItem;
+
     /// <summary>
     /// Initializes a new instance of the <see cref="TextScrollPanel"/> class.
     /// </summary>
-    public TextScrollPanel()
+    /// <param name="renderItem">A delegate that renders a single item and returns the text to display (may contain newlines).</param>
+    public TextScrollPanel(Func<object, string> renderItem)
     {
+        this._renderItem = renderItem;
         this.State = new TextScrollPanelState();
     }
 
@@ -52,12 +55,13 @@ public class TextScrollPanel : ConsoleReactiveComponent<TextScrollPanelProps, Te
         }
 
         // Move cursor to the bottom of the scroll area
-        Console.Write(AnsiEscapes.MoveCursor(props.Y + props.Height - 1, props.X));
+        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]);
+            string text = this._renderItem(props.Items[i]);
+            Console.Write(text);
         }
 
         // Update state to track what we've rendered

dotnet/samples/02-agents/Harness/ConsoleReactiveComponents/TopBottomRule.cs

@@ -9,6 +9,9 @@ namespace Harness.ConsoleReactiveComponents;
 /// </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; }
 }
@@ -29,7 +32,7 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
         int childrenHeight = 0;
         foreach (var child in props.Children)
         {
-            childrenHeight += child.BaseProps?.Height ?? 0;
+            childrenHeight += child.Height;
         }
 
         // Top rule + children + bottom rule
@@ -48,11 +51,11 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
         }
 
         // Top rule
-        Console.Write(AnsiEscapes.MoveCursor(props.Y, props.X));
+        Console.Write(AnsiEscapes.MoveCursor(this.Y, this.X));
         Console.Write(rule);
 
         // Render children stacked below the top rule
-        int currentY = props.Y + 1;
+        int currentY = this.Y + 1;
 
         if (props.Color.HasValue)
         {
@@ -61,9 +64,10 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
 
         foreach (var child in props.Children)
         {
-            child.BaseProps = child.BaseProps! with { X = props.X, Y = currentY };
+            child.X = this.X;
+            child.Y = currentY;
             child.Render();
-            currentY += child.BaseProps.Height;
+            currentY += child.Height;
         }
 
         if (props.Color.HasValue)
@@ -72,7 +76,7 @@ public class TopBottomRule : ConsoleReactiveComponent<TopBottomRuleProps, Consol
         }
 
         // Bottom rule
-        Console.Write(AnsiEscapes.MoveCursor(currentY, props.X));
+        Console.Write(AnsiEscapes.MoveCursor(currentY, this.X));
         Console.Write(rule);
 
         if (props.Color.HasValue)

dotnet/samples/02-agents/Harness/ConsoleReactiveFramework/ConsoleReactiveComponent.cs

@@ -3,8 +3,8 @@
 namespace Harness.ConsoleReactiveFramework;
 
 /// <summary>
-/// Abstract base class for all console UI components. Provides access to layout
-/// through <see cref="BaseProps"/> and a <see cref="Render"/> method for drawing to the console.
+/// 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
@@ -13,21 +13,20 @@ public abstract class ConsoleReactiveComponent
     {
     }
 
-    /// <summary>
-    /// Gets or sets the component's props as the base <see cref="ConsoleReactiveProps"/> type.
-    /// Used by parent components to set layout (X, Y, Width, Height) on children without
-    /// knowing the concrete props type.
-    /// </summary>
-    public abstract ConsoleReactiveProps? BaseProps { get; set; }
+    /// <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>
-    /// Invalidates the component's cached render state, causing the next <see cref="Render"/> call
-    /// to proceed even if props and state have not changed. Use after a screen erase to force repaint.
-    /// </summary>
-    public abstract void Invalidate();
 }
 
 /// <summary>
@@ -47,13 +46,6 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
     /// <summary>Gets or sets the component's props (external configuration).</summary>
     public TProps? Props { get; set; }
 
-    /// <inheritdoc/>
-    public override ConsoleReactiveProps? BaseProps
-    {
-        get => this.Props;
-        set => this.Props = (TProps?)value;
-    }
-
     /// <summary>Gets or sets the component's internal state.</summary>
     protected TState? State { get; set; }
 
@@ -81,8 +73,8 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
                 return;
             }
 
-            if (EqualityComparer<TProps>.Default.Equals(this.Props, this._lastRenderedProps)
-                && EqualityComparer<TState>.Default.Equals(this.State, this._lastRenderedState))
+            if (ReferenceEquals(this.Props, this._lastRenderedProps)
+                && ReferenceEquals(this.State, this._lastRenderedState))
             {
                 return;
             }
@@ -94,16 +86,6 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
         }
     }
 
-    /// <inheritdoc/>
-    public override void Invalidate()
-    {
-        lock (this._renderLock)
-        {
-            this._lastRenderedProps = default;
-            this._lastRenderedState = default;
-        }
-    }
-
     /// <summary>
     /// Called by <see cref="Render"/> to perform the actual rendering. Override this in derived classes.
     /// </summary>
@@ -113,23 +95,11 @@ public abstract class ConsoleReactiveComponent<TProps, TState> : ConsoleReactive
 }
 
 /// <summary>
-/// Base record for component props. Provides layout properties (position and size)
-/// and an optional <see cref="Children"/> collection for composing child components.
+/// Base record for component props. Provides an optional <see cref="Children"/> collection
+/// for composing child components.
 /// </summary>
 public record ConsoleReactiveProps
 {
-    /// <summary>Gets the 1-based column position of the component.</summary>
-    public int X { get; init; }
-
-    /// <summary>Gets the 1-based row position of the component.</summary>
-    public int Y { get; init; }
-
-    /// <summary>Gets the width of the component in columns.</summary>
-    public int Width { get; init; }
-
-    /// <summary>Gets the height of the component in rows.</summary>
-    public int Height { get; init; }
-
     /// <summary>Gets the child components to render within this component.</summary>
     public IReadOnlyList<ConsoleReactiveComponent> Children { get; init; } = [];
 }

dotnet/samples/02-agents/Harness/Harness_ConsoleSandbox/AppComponent.cs

@@ -0,0 +1,315 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Harness.ConsoleReactiveComponents;
+using Harness.ConsoleReactiveFramework;
+
+namespace Harness.ConsoleSandbox;
+
+/// <summary>
+/// Determines which component is shown in the bottom panel.
+/// </summary>
+public enum BottomPanelMode
+{
+    /// <summary>Show the list selection component.</summary>
+    ListSelection,
+
+    /// <summary>Show the text input component.</summary>
+    TextInput
+}
+
+public record AppComponentProps : ConsoleReactiveProps
+{
+    public IReadOnlyList<string> Items { get; init; } = Array.Empty<string>();
+    public IReadOnlyList<object> ScrollItems { get; init; } = [];
+
+    /// <summary>Gets the bottom panel mode.</summary>
+    public BottomPanelMode Mode { get; init; } = BottomPanelMode.ListSelection;
+
+    /// <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 highlight color for the active list item. Defaults to <see cref="ConsoleColor.Cyan"/>.</summary>
+    public ConsoleColor ListHighlightColor { get; init; } = ConsoleColor.Cyan;
+
+    /// <summary>Gets the placeholder text for the custom text input option in the list. If <c>null</c>, no custom option is shown.</summary>
+    public string? ListCustomTextPlaceholder { get; init; }
+
+    /// <summary>Gets the foreground color for the rule borders. If <c>null</c>, uses the default terminal color.</summary>
+    public ConsoleColor? RuleColor { get; init; }
+}
+
+/// <summary>
+/// Internal state for the <see cref="AppComponent"/>.
+/// </summary>
+public record AppComponentState : ConsoleReactiveState
+{
+    /// <summary>Gets the selected index in list selection mode.</summary>
+    public int SelectedIndex { get; init; }
+
+    /// <summary>Gets the current input text being typed in text input mode.</summary>
+    public string InputText { get; init; } = "";
+
+    /// <summary>Gets the current text being typed into the list's custom text option.</summary>
+    public string ListInputText { get; init; } = "";
+}
+
+public class AppComponent : ConsoleReactiveComponent<AppComponentProps, AppComponentState>
+{
+    private readonly TopBottomRule _rule = new();
+    private readonly ListSelection _listSelection = new();
+    private readonly TextInput _textInput = new();
+    private readonly TextScrollPanel _textScrollPanel;
+    private readonly TextPanel _textPanel;
+    private readonly Func<object, string> _renderItem;
+    private readonly Action<string> _onTextInputSubmit;
+    private readonly Action<string> _onListInputSubmit;
+    private bool _resizedSinceLastRender;
+    private int _lastScrollBottom;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AppComponent"/> class.
+    /// </summary>
+    /// <param name="renderScrollItem">A delegate that renders a single scroll panel item and returns the text to display.</param>
+    /// <param name="onTextInputSubmit">A callback invoked with the input text when the user presses Enter in text input mode.</param>
+    /// <param name="onListInputSubmit">A callback invoked with the selected or typed text when the user presses Enter in list selection mode.</param>
+    public AppComponent(Func<object, string> renderScrollItem, Action<string> onTextInputSubmit, Action<string> onListInputSubmit)
+    {
+        this._renderItem = renderScrollItem;
+        this._onTextInputSubmit = onTextInputSubmit;
+        this._onListInputSubmit = onListInputSubmit;
+        this._textScrollPanel = new TextScrollPanel(renderScrollItem);
+        this._textPanel = new TextPanel(renderScrollItem);
+        this.State = new AppComponentState();
+        KeyEventListener.Instance.KeyPressed += this.OnKeyPressed;
+        ConsoleResizeListener.Instance.ConsoleResized += this.OnConsoleResized;
+    }
+
+    private void OnKeyPressed(object? sender, KeyPressEventArgs e)
+    {
+        if (this.Props!.Mode == BottomPanelMode.TextInput)
+        {
+            this.HandleTextInputKey(e);
+        }
+        else
+        {
+            this.HandleListSelectionKey(e);
+        }
+    }
+
+    private void HandleTextInputKey(KeyPressEventArgs e)
+    {
+        if (e.KeyInfo.Key == ConsoleKey.Enter)
+        {
+            string text = this.State!.InputText;
+            this.SetState(this.State with { InputText = "" });
+            this._onTextInputSubmit(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.Props!.Items.Count - 1;
+        if (this.Props.ListCustomTextPlaceholder != null)
+        {
+            maxIndex = this.Props.Items.Count; // extra option at the end
+        }
+
+        bool isOnCustomTextOption = this.Props.ListCustomTextPlaceholder != null
+            && this.State!.SelectedIndex == this.Props.Items.Count;
+
+        if (e.KeyInfo.Key == ConsoleKey.UpArrow)
+        {
+            this.SetState(this.State! with { SelectedIndex = Math.Max(0, this.State.SelectedIndex - 1) });
+        }
+        else if (e.KeyInfo.Key == ConsoleKey.DownArrow)
+        {
+            this.SetState(this.State! with { SelectedIndex = Math.Min(maxIndex, this.State.SelectedIndex + 1) });
+        }
+        else if (e.KeyInfo.Key == ConsoleKey.Enter)
+        {
+            if (isOnCustomTextOption)
+            {
+                string text = this.State!.ListInputText;
+                this.SetState(this.State with { ListInputText = "" });
+                this._onListInputSubmit(text);
+            }
+            else
+            {
+                this._onListInputSubmit(this.Props.Items[this.State!.SelectedIndex]);
+            }
+        }
+        else if (isOnCustomTextOption)
+        {
+            // Typing only works when on the custom text option
+            if (e.KeyInfo.Key == ConsoleKey.Backspace)
+            {
+                if (this.State!.ListInputText.Length > 0)
+                {
+                    this.SetState(this.State with { ListInputText = this.State.ListInputText[..^1] });
+                }
+            }
+            else if (e.KeyInfo.KeyChar != '\0' && !char.IsControl(e.KeyInfo.KeyChar))
+            {
+                this.SetState(this.State! with { ListInputText = this.State.ListInputText + e.KeyInfo.KeyChar });
+            }
+        }
+    }
+
+    private void OnConsoleResized(object? sender, ConsoleResizeEventArgs e)
+    {
+        this._resizedSinceLastRender = true;
+        this.Render();
+    }
+
+    public override void RenderCore(AppComponentProps props, AppComponentState state)
+    {
+        // Determine the text panel height for the last scroll item
+        object? lastItem = props.ScrollItems.Count > 0 ? props.ScrollItems[^1] : null;
+        IReadOnlyList<object> lastItems = lastItem != null ? [lastItem] : [];
+        int textPanelHeight = TextPanel.CalculateHeight(lastItems, this._renderItem);
+        if (textPanelHeight > 0)
+        {
+            textPanelHeight++; // Extra line for spacing between text panel and rule
+        }
+
+        // Build the bottom panel child based on mode
+        ConsoleReactiveComponent bottomChild;
+        int bottomChildHeight;
+
+        if (props.Mode == BottomPanelMode.TextInput)
+        {
+            var textInputProps = new TextInputProps
+            {
+                Prompt = props.Prompt,
+                Text = state.InputText,
+                Placeholder = props.Placeholder
+            };
+
+            bottomChildHeight = TextInput.CalculateHeight(textInputProps, Console.WindowWidth);
+            this._textInput.Width = Console.WindowWidth;
+            this._textInput.Height = bottomChildHeight;
+            this._textInput.Props = textInputProps;
+            bottomChild = this._textInput;
+        }
+        else
+        {
+            var listProps = new ListSelectionProps
+            {
+                Items = props.Items,
+                SelectedIndex = state.SelectedIndex,
+                HighlightColor = props.ListHighlightColor,
+                CustomTextPlaceholder = props.ListCustomTextPlaceholder,
+                CustomText = state.ListInputText
+            };
+
+            bottomChildHeight = ListSelection.CalculateHeight(listProps);
+            this._listSelection.Height = bottomChildHeight;
+            this._listSelection.Props = listProps;
+            bottomChild = this._listSelection;
+        }
+
+        var ruleProps = new TopBottomRuleProps
+        {
+            Width = Console.WindowWidth,
+            Color = props.RuleColor,
+            Children = [bottomChild]
+        };
+
+        int ruleHeight = TopBottomRule.CalculateHeight(ruleProps);
+        int scrollBottom = Console.WindowHeight - ruleHeight - textPanelHeight;
+
+        // If scroll region changed or a clear is needed, reset everything
+        if (this._resizedSinceLastRender || (this._lastScrollBottom != 0 && scrollBottom != this._lastScrollBottom))
+        {
+            Console.Write(AnsiEscapes.EraseEntireScreen);
+            Console.Write(AnsiEscapes.EraseScrollbackBuffer);
+            this._textScrollPanel.Reset();
+            this._resizedSinceLastRender = false;
+        }
+
+        this._lastScrollBottom = scrollBottom;
+
+        Console.Write(AnsiEscapes.SetScrollRegion(scrollBottom));
+
+        // Render text scroll panel in the scroll area (all items except the last)
+        IReadOnlyList<object> scrollItems = props.ScrollItems.Count > 1
+            ? props.ScrollItems.Take(props.ScrollItems.Count - 1).ToList()
+            : [];
+
+        this._textScrollPanel.X = 1;
+        this._textScrollPanel.Y = 1;
+        this._textScrollPanel.Width = Console.WindowWidth;
+        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 = Console.WindowWidth;
+        this._textPanel.Height = textPanelHeight;
+        this._textPanel.Props = new TextPanelProps
+        {
+            Items = lastItems,
+        };
+        this._textPanel.Render();
+
+        // Render the bottom rule + child below the text panel
+        this._rule.X = 1;
+        this._rule.Y = scrollBottom + textPanelHeight + 1;
+        this._rule.Props = ruleProps;
+        this._rule.Render();
+
+        // Position cursor for natural typing appearance
+        if (props.Mode == BottomPanelMode.TextInput)
+        {
+            int promptLength = props.Prompt.Length;
+            int textWidth = Console.WindowWidth - promptLength;
+            int textLength = state.InputText.Length;
+
+            // The TextInput starts at rule.Y + 1 (first row inside the rule)
+            int textInputY = this._rule.Y + 1;
+
+            if (textWidth <= 0 || textLength == 0)
+            {
+                // Cursor right after the prompt
+                Console.Write(AnsiEscapes.MoveCursor(textInputY, promptLength + 1));
+            }
+            else
+            {
+                // Calculate which row and column the cursor lands on
+                int cursorRow = textLength < textWidth ? 0 : 1 + ((textLength - textWidth) / textWidth);
+                int cursorCol = textLength < textWidth ? textLength : (textLength - textWidth) % textWidth;
+                Console.Write(AnsiEscapes.MoveCursor(textInputY + cursorRow, promptLength + cursorCol + 1));
+            }
+        }
+        else if (props.Mode == BottomPanelMode.ListSelection
+            && props.ListCustomTextPlaceholder != null
+            && state.SelectedIndex == props.Items.Count)
+        {
+            // Cursor after the typed text in the custom text option
+            // The custom text option is at rule.Y + 1 + Items.Count (0-based row inside rule)
+            int customOptionY = this._rule.Y + 1 + props.Items.Count;
+            // "> " prefix is 2 chars, then the typed text
+            int cursorCol = 2 + state.ListInputText.Length + 1;
+            Console.Write(AnsiEscapes.MoveCursor(customOptionY, cursorCol));
+        }
+    }
+}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Commands/CommandHandler.cs

@@ -23,7 +23,7 @@ public abstract class CommandHandler
     /// </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>
+    /// <param name="ux">The UX container 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);
+    public abstract ValueTask<bool> TryHandleAsync(string input, AgentSession session, HarnessUXContainer ux);
 }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Commands/ExitCommandHandler.cs

@@ -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);
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Commands/ModeCommandHandler.cs

@@ -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 : CommandHandler
 {
     private readonly AgentModeProvider? _modeProvider;
     private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;
@@ -27,7 +27,7 @@ public sealed class ModeCommandHandler : CommandHandler
     public override 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 override async ValueTask<bool> TryHandleAsync(string input, AgentSession session, HarnessUXContainer ux)
     {
         if (!input.StartsWith("/mode ", StringComparison.OrdinalIgnoreCase) && !input.Equals("/mode", StringComparison.OrdinalIgnoreCase))
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Commands/SessionCommandHandler.cs

@@ -1,98 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Text.Json;
-using Microsoft.Agents.AI;
-
-namespace Harness.Shared.Console.Commands;
-
-/// <summary>
-/// Handles <c>/session-export &lt;filename&gt;</c> and <c>/session-import &lt;filename&gt;</c>
-/// commands for serializing the current session to a file and restoring a session from a file.
-/// </summary>
-public sealed class SessionCommandHandler : CommandHandler
-{
-    private readonly AIAgent _agent;
-
-    /// <summary>
-    /// Initializes a new instance of the <see cref="SessionCommandHandler"/> class.
-    /// </summary>
-    /// <param name="agent">The agent used for session serialization and deserialization.</param>
-    public SessionCommandHandler(AIAgent agent)
-    {
-        this._agent = agent;
-    }
-
-    /// <inheritdoc/>
-    public override string? GetHelpText() => "/session-export <file> | /session-import <file>";
-
-    /// <inheritdoc/>
-    public override async ValueTask<bool> TryHandleAsync(string input, AgentSession session, IUXStateDriver ux)
-    {
-        string command = input.Split(' ', 2)[0];
-
-        if (command.Equals("/session-export", StringComparison.OrdinalIgnoreCase))
-        {
-            await this.HandleExportAsync(input, session, ux).ConfigureAwait(false);
-            return true;
-        }
-
-        if (command.Equals("/session-import", StringComparison.OrdinalIgnoreCase))
-        {
-            await this.HandleImportAsync(input, ux).ConfigureAwait(false);
-            return true;
-        }
-
-        return false;
-    }
-
-    private async Task HandleExportAsync(string input, AgentSession session, IUXStateDriver ux)
-    {
-        string[] parts = input.Split(' ', 2, StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries);
-        if (parts.Length < 2)
-        {
-            await ux.WriteInfoLineAsync("Usage: /session-export <filename>").ConfigureAwait(false);
-            return;
-        }
-
-        string filename = parts[1];
-        try
-        {
-            JsonElement serialized = await this._agent.SerializeSessionAsync(session).ConfigureAwait(false);
-            string json = JsonSerializer.Serialize(serialized);
-            await File.WriteAllTextAsync(filename, json).ConfigureAwait(false);
-            await ux.WriteInfoLineAsync($"Session exported to {filename}").ConfigureAwait(false);
-        }
-        catch (Exception ex)
-        {
-            await ux.WriteInfoLineAsync($"Failed to export session to {filename}: {ex.Message}").ConfigureAwait(false);
-        }
-    }
-
-    private async Task HandleImportAsync(string input, IUXStateDriver ux)
-    {
-        string[] parts = input.Split(' ', 2, StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries);
-        if (parts.Length < 2)
-        {
-            await ux.WriteInfoLineAsync("Usage: /session-import <filename>").ConfigureAwait(false);
-            return;
-        }
-
-        string filename = parts[1];
-        try
-        {
-            string json = await File.ReadAllTextAsync(filename).ConfigureAwait(false);
-            JsonElement element = JsonSerializer.Deserialize<JsonElement>(json);
-            AgentSession newSession = await this._agent.DeserializeSessionAsync(element).ConfigureAwait(false);
-            await ux.ReplaceSessionAsync(newSession).ConfigureAwait(false);
-            await ux.WriteInfoLineAsync($"Session imported from {filename}").ConfigureAwait(false);
-        }
-        catch (FileNotFoundException)
-        {
-            await ux.WriteInfoLineAsync($"File not found: {filename}").ConfigureAwait(false);
-        }
-        catch (Exception ex)
-        {
-            await ux.WriteInfoLineAsync($"Failed to import session from {filename}: {ex.Message}").ConfigureAwait(false);
-        }
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Commands/TodoCommandHandler.cs

@@ -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 : CommandHandler
 {
     private readonly TodoProvider? _todoProvider;
 
@@ -24,7 +24,7 @@ public sealed class TodoCommandHandler : CommandHandler
     public override 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 override async ValueTask<bool> TryHandleAsync(string input, AgentSession session, HarnessUXContainer ux)
     {
         if (!input.Equals("/todos", StringComparison.OrdinalIgnoreCase))
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Components/AgentModeAndHelp.cs

@@ -43,7 +43,7 @@ public class AgentModeAndHelp : ConsoleReactiveComponent<AgentModeAndHelpProps,
         }
 
         System.Console.Write(AnsiEscapes.SaveCursor);
-        System.Console.Write(AnsiEscapes.MoveAndEraseLine(props.Y));
+        System.Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y));
 
         bool hasMode = props.Mode is not null;
 

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Components/AgentStatus.cs

@@ -35,7 +35,6 @@ public class AgentStatus : ConsoleReactiveComponent<AgentStatusProps, AgentStatu
     ];
 
     private readonly Timer _timer;
-    private AgentStatusProps? _previousProps;
 
     /// <summary>
     /// Initializes a new instance of the <see cref="AgentStatus"/> class.
@@ -86,12 +85,7 @@ public class AgentStatus : ConsoleReactiveComponent<AgentStatusProps, AgentStatu
         }
 
         System.Console.Write(AnsiEscapes.SaveCursor);
-        System.Console.Write(AnsiEscapes.MoveCursor(props.Y, props.X));
-        if (props != this._previousProps)
-        {
-            System.Console.Write(AnsiEscapes.EraseToEndOfLine);
-            this._previousProps = props;
-        }
+        System.Console.Write(AnsiEscapes.MoveAndEraseLine(this.Y));
 
         if (props.ShowSpinner)
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/FileSpanExporter.cs

@@ -1,67 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Diagnostics;
-using System.Globalization;
-using OpenTelemetry;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// A simple OpenTelemetry span exporter that writes completed activities (spans) to a text file.
-/// Each span is formatted as a human-readable block with timestamps, operation name, duration,
-/// status, and any tags/events.
-/// </summary>
-public sealed class FileSpanExporter : BaseExporter<Activity>
-{
-    private readonly string _filePath;
-    private readonly object _lock = new();
-
-    public FileSpanExporter(string filePath)
-    {
-        this._filePath = filePath;
-        Directory.CreateDirectory(Path.GetDirectoryName(filePath)!);
-    }
-
-    public override ExportResult Export(in Batch<Activity> batch)
-    {
-        lock (this._lock)
-        {
-            using var writer = new StreamWriter(this._filePath, append: true);
-            foreach (var activity in batch)
-            {
-                WriteActivity(writer, activity);
-            }
-        }
-
-        return ExportResult.Success;
-    }
-
-    private static void WriteActivity(StreamWriter writer, Activity activity)
-    {
-        var start = activity.StartTimeUtc.ToString("yyyy-MM-dd HH:mm:ss.fff", CultureInfo.InvariantCulture);
-        var duration = activity.Duration.TotalMilliseconds.ToString("F1", CultureInfo.InvariantCulture);
-
-        writer.WriteLine($"[{start}] {activity.OperationName} ({duration}ms) [{activity.Status}]");
-
-        if (!string.IsNullOrEmpty(activity.DisplayName) && activity.DisplayName != activity.OperationName)
-        {
-            writer.WriteLine($"  DisplayName: {activity.DisplayName}");
-        }
-
-        foreach (var tag in activity.Tags)
-        {
-            writer.WriteLine($"  {tag.Key}: {tag.Value}");
-        }
-
-        foreach (var ev in activity.Events)
-        {
-            writer.WriteLine($"  Event: {ev.Name} @ {ev.Timestamp:HH:mm:ss.fff}");
-            foreach (var tag in ev.Tags)
-            {
-                writer.WriteLine($"    {tag.Key}: {tag.Value}");
-            }
-        }
-
-        writer.WriteLine();
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/FollowUpAction.cs

@@ -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;

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessAgentRunner.cs

@@ -1,298 +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 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);
-
-    private AgentSession _session;
-
-    /// <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; }
-
-    /// <summary>
-    /// Replaces the current session with the specified session. Used by the UX driver
-    /// when importing a serialized session. Acquires the input gate to ensure no
-    /// concurrent agent turn is reading the session.
-    /// </summary>
-    /// <param name="newSession">The new session to use.</param>
-    internal async Task ReplaceSessionAsync(AgentSession newSession)
-    {
-        await this._inputGate.WaitAsync().ConfigureAwait(false);
-        try
-        {
-            this._session = newSession;
-        }
-        finally
-        {
-            this._inputGate.Release();
-        }
-    }
-
-    /// <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);
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessAppComponent.cs

@@ -3,90 +3,171 @@
 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"/>.
+/// Determines which component is shown in the bottom panel.
 /// </summary>
-public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps, HarnessAppComponentState>, IDisposable
+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>
+/// Event arguments for the <see cref="HarnessAppComponent.InputSubmitted"/> event.
+/// </summary>
+public sealed class InputSubmittedEventArgs : EventArgs
+{
+    /// <summary>
+    /// Initializes a new instance of the <see cref="InputSubmittedEventArgs"/> class.
+    /// </summary>
+    /// <param name="text">The submitted text.</param>
+    /// <param name="mode">The bottom panel mode in which the input was submitted.</param>
+    public InputSubmittedEventArgs(string text, BottomPanelMode mode)
+    {
+        this.Text = text;
+        this.Mode = mode;
+    }
+
+    /// <summary>Gets the submitted text.</summary>
+    public string Text { get; }
+
+    /// <summary>Gets the bottom panel mode in which the input was submitted.</summary>
+    public BottomPanelMode Mode { get; }
+}
+
+/// <summary>
+/// Props for <see cref="HarnessAppComponent"/>.
+/// </summary>
+public record HarnessAppComponentProps : ConsoleReactiveProps
+{
+    /// <summary>Gets or sets the list selection choices (for ListSelection mode).</summary>
+    public IReadOnlyList<string> Items { get; set; } = Array.Empty<string>();
+
+    /// <summary>Gets or sets the scroll items (output entries) to render in the scroll panel.</summary>
+    public IReadOnlyList<object> ScrollItems { get; set; } = [];
+
+    /// <summary>Gets or sets the bottom panel mode.</summary>
+    public BottomPanelMode Mode { get; set; } = BottomPanelMode.TextInput;
+
+    /// <summary>Gets or sets the prompt string for text input mode.</summary>
+    public string Prompt { get; set; } = "You: ";
+
+    /// <summary>Gets or sets the placeholder text shown when the input is empty.</summary>
+    public string Placeholder { get; set; } = "";
+
+    /// <summary>Gets or sets the highlight color for the active list item.</summary>
+    public ConsoleColor ListHighlightColor { get; set; } = ConsoleColor.Cyan;
+
+    /// <summary>Gets or sets the placeholder text for the custom text input option in the list.</summary>
+    public string? ListCustomTextPlaceholder { get; set; }
+
+    /// <summary>Gets or sets the foreground color for the rule borders and mode label.</summary>
+    public ConsoleColor? ModeColor { get; set; }
+
+    /// <summary>Gets or sets the current mode name displayed below the bottom rule (e.g. "plan").</summary>
+    public string? ModeText { get; set; }
+
+    /// <summary>Gets or sets the help text displayed below the bottom rule (available commands).</summary>
+    public string? HelpText { get; set; }
+
+    /// <summary>Gets or sets the title text displayed above the list selection (for interactive prompts).</summary>
+    public string? ListTitle { get; set; }
+
+    /// <summary>Gets or sets a value indicating whether input is enabled during streaming.</summary>
+    public bool InputEnabled { get; set; }
+
+    /// <summary>Gets or sets the prompt to show during streaming when input is disabled.</summary>
+    public string StreamingPrompt { get; set; } = "(agent is running...)";
+
+    /// <summary>Gets or sets a value indicating whether the agent status spinner is visible.</summary>
+    public bool ShowSpinner { get; set; }
+
+    /// <summary>Gets or sets the formatted token usage text to display in the status bar.</summary>
+    public string? UsageText { get; set; }
+
+    /// <summary>Gets or sets the queued input items to display above the rule.</summary>
+    public IReadOnlyList<object> QueuedItems { get; set; } = [];
+}
+
+/// <summary>
+/// Internal state for <see cref="HarnessAppComponent"/>.
+/// </summary>
+public record HarnessAppComponentState : ConsoleReactiveState
+{
+    /// <summary>Gets the selected index in list selection mode.</summary>
+    public int SelectedIndex { get; init; }
+
+    /// <summary>Gets the current input text being typed.</summary>
+    public string InputText { get; init; } = "";
+
+    /// <summary>Gets the current text being typed into the list's custom text option.</summary>
+    public string ListInputText { get; init; } = "";
+
+    /// <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; }
+}
+
+/// <summary>
+/// The main application component for the Harness console. Manages the scroll region
+/// and bottom panel (text input, list selection, or streaming indicator), and emits
+/// an <see cref="InputSubmitted"/> event when the user submits text in any mode.
+/// </summary>
+public class HarnessAppComponent : ConsoleReactiveComponent<HarnessAppComponentProps, 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 TextScrollPanel _textScrollPanel;
+    private readonly TextPanel _textPanel;
+    private readonly TextPanel _queuedPanel;
     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 readonly Func<object, string> _renderItem;
+    private bool _resizedSinceLastRender;
     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)
+    /// <param name="renderScrollItem">A delegate that renders a single output entry and returns the text to display.</param>
+    public HarnessAppComponent(Func<object, string> renderScrollItem)
     {
-        this.Props = new ConsoleReactiveProps();
+        this._renderItem = renderScrollItem;
+        this._textScrollPanel = new TextScrollPanel(renderScrollItem);
+        this._textPanel = new TextPanel(renderScrollItem);
+        this._queuedPanel = new TextPanel(renderScrollItem);
         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),
-            replaceSession: s => this.Runner!.ReplaceSessionAsync(s),
-            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.
+    /// Gets the 1-based row number of the last row in the output scroll region.
     /// </summary>
-    public HarnessAgentRunner Runner { get; }
+    public int ScrollRegionBottom { get; private set; }
 
     /// <summary>
-    /// Completes when a command handler requests application shutdown (e.g. the user types <c>/exit</c>).
-    /// Awaited by <see cref="HarnessConsole.RunAgentAsync"/>.
+    /// Occurs when the user submits input via Enter, in any mode (text input, list selection,
+    /// or streaming injection). Consumers inspect <see cref="InputSubmittedEventArgs.Mode"/>
+    /// to decide how to handle the submission.
     /// </summary>
-    public Task ShutdownTask => this._shutdownTcs.Task;
+    public event EventHandler<InputSubmittedEventArgs>? InputSubmitted;
 
     /// <summary>
     /// Deactivates the component, resetting the scroll region and unsubscribing from events.
@@ -103,6 +184,9 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
         this._agentStatus.Dispose();
         KeyEventListener.Instance.KeyPressed -= this.OnKeyPressed;
         ConsoleResizeListener.Instance.ConsoleResized -= this.OnConsoleResized;
+        System.Console.Write(AnsiEscapes.ResetScrollRegion);
+        System.Console.Write(AnsiEscapes.MoveCursor(System.Console.WindowHeight, 1));
+        System.Console.WriteLine();
     }
 
     /// <inheritdoc/>
@@ -121,23 +205,20 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
         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)
+        if (this.Props!.Mode == BottomPanelMode.TextInput)
         {
             this.HandleTextInputKey(e);
         }
-        else if (mode == BottomPanelMode.ListSelection)
+        else if (this.Props.Mode == BottomPanelMode.ListSelection)
         {
             this.HandleListSelectionKey(e);
         }
-        else if (mode == BottomPanelMode.Streaming && this.State.InputEnabled)
+        else if (this.Props.Mode == BottomPanelMode.Streaming && this.Props.InputEnabled)
         {
             this.HandleStreamingInputKey(e);
         }
@@ -154,7 +235,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
             }
 
             this.SetState(this.State with { InputText = "" });
-            this.DispatchTextInputSubmission(text);
+            this.InputSubmitted?.Invoke(this, new InputSubmittedEventArgs(text, BottomPanelMode.TextInput));
         }
         else if (e.KeyInfo.Key == ConsoleKey.Backspace)
         {
@@ -171,50 +252,51 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
 
     private void HandleListSelectionKey(KeyPressEventArgs e)
     {
-        int maxIndex = this.State!.ListSelectionOptions.Count - 1;
-        if (this.State.ListSelectionCustomTextPlaceholder != null)
+        int maxIndex = this.Props!.Items.Count - 1;
+        if (this.Props.ListCustomTextPlaceholder != null)
         {
-            maxIndex = this.State.ListSelectionOptions.Count;
+            maxIndex = this.Props.Items.Count;
         }
 
-        bool isOnCustomTextOption = this.State.ListSelectionCustomTextPlaceholder != null
-            && this.State.ListSelectionIndex == this.State.ListSelectionOptions.Count;
+        bool isOnCustomTextOption = this.Props.ListCustomTextPlaceholder != null
+            && this.State!.SelectedIndex == this.Props.Items.Count;
 
         if (e.KeyInfo.Key == ConsoleKey.UpArrow)
         {
-            this.SetState(this.State with { ListSelectionIndex = Math.Max(0, this.State.ListSelectionIndex - 1) });
+            this.SetState(this.State! with { SelectedIndex = Math.Max(0, this.State.SelectedIndex - 1) });
         }
         else if (e.KeyInfo.Key == ConsoleKey.DownArrow)
         {
-            this.SetState(this.State with { ListSelectionIndex = Math.Min(maxIndex, this.State.ListSelectionIndex + 1) });
+            this.SetState(this.State! with { SelectedIndex = Math.Min(maxIndex, this.State.SelectedIndex + 1) });
         }
         else if (e.KeyInfo.Key == ConsoleKey.Enter)
         {
             string result = isOnCustomTextOption
-                ? this.State.ListSelectionCustomInputText
-                : this.State.ListSelectionOptions[this.State.ListSelectionIndex];
+                ? this.State!.ListInputText
+                : this.Props.Items[this.State!.SelectedIndex];
 
-            this.SetState(this.State with { ListSelectionCustomInputText = "", ListSelectionIndex = 0 });
-            this.DispatchListSelectionSubmission(result);
+            this.SetState(this.State with { ListInputText = "", SelectedIndex = 0 });
+            this.InputSubmitted?.Invoke(this, new InputSubmittedEventArgs(result, BottomPanelMode.ListSelection));
         }
         else if (isOnCustomTextOption)
         {
             if (e.KeyInfo.Key == ConsoleKey.Backspace)
             {
-                if (this.State.ListSelectionCustomInputText.Length > 0)
+                if (this.State!.ListInputText.Length > 0)
                 {
-                    this.SetState(this.State with { ListSelectionCustomInputText = this.State.ListSelectionCustomInputText[..^1] });
+                    this.SetState(this.State with { ListInputText = this.State.ListInputText[..^1] });
                 }
             }
             else if (e.KeyInfo.KeyChar != '\0' && !char.IsControl(e.KeyInfo.KeyChar))
             {
-                this.SetState(this.State with { ListSelectionCustomInputText = this.State.ListSelectionCustomInputText + e.KeyInfo.KeyChar });
+                this.SetState(this.State! with { ListInputText = this.State.ListInputText + e.KeyInfo.KeyChar });
             }
         }
     }
 
     private void HandleStreamingInputKey(KeyPressEventArgs e)
     {
+        // During streaming with input enabled, capture text for message injection
         if (e.KeyInfo.Key == ConsoleKey.Enter)
         {
             string text = this.State!.InputText;
@@ -224,7 +306,7 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
             }
 
             this.SetState(this.State with { InputText = "" });
-            _ = this.Runner.OnStreamingInputAsync(text);
+            this.InputSubmitted?.Invoke(this, new InputSubmittedEventArgs(text, BottomPanelMode.Streaming));
         }
         else if (e.KeyInfo.Key == ConsoleKey.Backspace)
         {
@@ -239,90 +321,6 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
         }
     }
 
-    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;
@@ -334,71 +332,67 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
     }
 
     /// <inheritdoc />
-    public override void RenderCore(ConsoleReactiveProps props, HarnessAppComponentState state)
+    public override void RenderCore(HarnessAppComponentProps 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]]
+        IReadOnlyList<object> lastItems = props.ScrollItems.Count > 0
+            ? [props.ScrollItems[^1]]
             : [];
-        int textPanelHeight = TextPanel.CalculateHeight(lastItems);
+        int textPanelHeight = TextPanel.CalculateHeight(lastItems, this._renderItem);
         if (textPanelHeight > 0)
         {
             textPanelHeight++; // Extra line for spacing between text panel and rule
         }
 
         // Calculate queued items panel height
-        int queuedPanelHeight = TextPanel.CalculateHeight(state.QueuedItems);
+        int queuedPanelHeight = TextPanel.CalculateHeight(props.QueuedItems, this._renderItem);
 
         // Build the bottom panel child based on mode
         ConsoleReactiveComponent bottomChild;
         int bottomChildHeight;
 
-        if (state.Mode == BottomPanelMode.ListSelection)
+        if (props.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,
+                Title = props.ListTitle,
+                Items = props.Items,
+                SelectedIndex = state.SelectedIndex,
+                HighlightColor = props.ListHighlightColor,
+                CustomTextPlaceholder = props.ListCustomTextPlaceholder,
+                CustomText = state.ListInputText,
             };
 
             bottomChildHeight = ListSelection.CalculateHeight(listProps);
-            listProps = listProps with { Height = bottomChildHeight };
+            this._listSelection.Height = bottomChildHeight;
             this._listSelection.Props = listProps;
             bottomChild = this._listSelection;
         }
-        else if (state.Mode == BottomPanelMode.Streaming)
+        else if (props.Mode == BottomPanelMode.Streaming)
         {
             TextInputProps textInputProps;
-            if (state.InputEnabled)
+            if (props.InputEnabled)
             {
                 textInputProps = new TextInputProps
                 {
-                    Prompt = state.Prompt,
+                    Prompt = props.Prompt,
                     Text = state.InputText,
-                    Placeholder = state.Placeholder,
+                    Placeholder = props.Placeholder,
                 };
             }
             else
             {
                 textInputProps = new TextInputProps
                 {
-                    Prompt = state.Prompt,
+                    Prompt = props.Prompt,
                     Text = "",
-                    Placeholder = state.StreamingPrompt,
+                    Placeholder = props.StreamingPrompt,
                 };
             }
 
             bottomChildHeight = TextInput.CalculateHeight(textInputProps, state.ConsoleWidth);
-            textInputProps = textInputProps with { Width = state.ConsoleWidth, Height = bottomChildHeight };
+            this._textInput.Width = state.ConsoleWidth;
+            this._textInput.Height = bottomChildHeight;
             this._textInput.Props = textInputProps;
             bottomChild = this._textInput;
         }
@@ -406,13 +400,14 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
         {
             var textInputProps = new TextInputProps
             {
-                Prompt = state.Prompt,
+                Prompt = props.Prompt,
                 Text = state.InputText,
-                Placeholder = state.Placeholder,
+                Placeholder = props.Placeholder,
             };
 
             bottomChildHeight = TextInput.CalculateHeight(textInputProps, state.ConsoleWidth);
-            textInputProps = textInputProps with { Width = state.ConsoleWidth, Height = bottomChildHeight };
+            this._textInput.Width = state.ConsoleWidth;
+            this._textInput.Height = bottomChildHeight;
             this._textInput.Props = textInputProps;
             bottomChild = this._textInput;
         }
@@ -420,150 +415,119 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
         var ruleProps = new TopBottomRuleProps
         {
             Width = state.ConsoleWidth,
-            Color = state.ModeColor,
+            Color = props.ModeColor,
             Children = [bottomChild],
         };
 
+        // Calculate the agent status height
         var agentStatusProps = new AgentStatusProps
         {
-            ShowSpinner = state.ShowSpinner,
-            UsageText = state.UsageText,
+            ShowSpinner = props.ShowSpinner,
+            UsageText = props.UsageText,
         };
+        int agentStatusHeight = AgentStatus.CalculateHeight(agentStatusProps);
 
+        // Calculate the mode-and-help height
         var modeAndHelpProps = new AgentModeAndHelpProps
         {
-            Mode = state.ModeText,
-            ModeColor = state.ModeColor,
-            HelpText = state.HelpText,
+            Mode = props.ModeText,
+            ModeColor = props.ModeColor,
+            HelpText = props.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 modeAndHelpHeight = AgentModeAndHelp.CalculateHeight(modeAndHelpProps);
 
         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);
+        int scrollBottom = Math.Max(1, state.ConsoleHeight - ruleHeight - textPanelHeight - agentStatusHeight - queuedPanelHeight - modeAndHelpHeight);
 
         // If scroll region changed or a clear is needed, reset everything
-        if (this._resizedSinceLastRender || (this._scrollRegionBottom != 0 && scrollBottom != this._scrollRegionBottom))
+        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;
-
-            // Invalidate all children so they re-render even if props haven't changed
-            this._rule.Invalidate();
-            this._textScrollPanel.Invalidate();
-            this._textPanel.Invalidate();
-            this._queuedPanel.Invalidate();
-            this._agentStatus.Invalidate();
-            this._modeAndHelp.Invalidate();
-            this._textInput.Invalidate();
-            this._listSelection.Invalidate();
         }
 
-        this._scrollRegionBottom = scrollBottom;
+        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()
+        IReadOnlyList<object> scrollItems = props.ScrollItems.Count > 1
+            ? props.ScrollItems.Take(props.ScrollItems.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
         {
-            X = 1,
-            Y = 1,
-            Width = state.ConsoleWidth,
-            Height = scrollBottom,
             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
         {
-            X = 1,
-            Y = scrollBottom + 1,
-            Width = state.ConsoleWidth,
-            Height = textPanelHeight,
             Items = lastItems,
         };
         this._textPanel.Render();
 
         // Render queued input items between text panel and agent status
         int queuedPanelY = scrollBottom + textPanelHeight + 1;
+        this._queuedPanel.X = 1;
+        this._queuedPanel.Y = queuedPanelY;
+        this._queuedPanel.Width = state.ConsoleWidth;
+        this._queuedPanel.Height = queuedPanelHeight;
         this._queuedPanel.Props = new TextPanelProps
         {
-            X = 1,
-            Y = queuedPanelY,
-            Width = state.ConsoleWidth,
-            Height = queuedPanelHeight,
-            Items = state.QueuedItems,
+            Items = props.QueuedItems,
         };
         this._queuedPanel.Render();
 
         // Render the agent status line between queued items and rule
         int agentStatusY = queuedPanelY + queuedPanelHeight;
-        if (showStatusAndHelp)
-        {
-            this._agentStatus.Props = agentStatusProps with
-            {
-                X = 1,
-                Y = agentStatusY,
-                Width = state.ConsoleWidth,
-                Height = agentStatusHeight,
-            };
-            this._agentStatus.Render();
-        }
+        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.Props = ruleProps with
-        {
-            X = 1,
-            Y = agentStatusY + agentStatusHeight,
-        };
+        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 = agentStatusY + agentStatusHeight + ruleHeight;
-            this._modeAndHelp.Props = modeAndHelpProps with
-            {
-                X = 1,
-                Y = modeAndHelpY,
-                Width = state.ConsoleWidth,
-                Height = modeAndHelpHeight,
-            };
-            this._modeAndHelp.Render();
-        }
-
-        // Clear the bottom padding line
-        System.Console.Write(AnsiEscapes.MoveAndEraseLine(state.ConsoleHeight));
+        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);
+        this.PositionCursor(props, state);
     }
 
-    private void PositionCursor(HarnessAppComponentState state)
+    private void PositionCursor(HarnessAppComponentProps props, HarnessAppComponentState state)
     {
-        if (state.Mode == BottomPanelMode.TextInput
-            || (state.Mode == BottomPanelMode.Streaming && state.InputEnabled))
+        if (props.Mode == BottomPanelMode.TextInput
+            || (props.Mode == BottomPanelMode.Streaming && props.InputEnabled))
         {
-            int promptLength = state.Prompt.Length;
+            int promptLength = props.Prompt.Length;
             int textWidth = state.ConsoleWidth - promptLength;
             int textLength = state.InputText.Length;
 
-            int textInputY = (this._rule.Props?.Y ?? 0) + 1;
+            int textInputY = this._rule.Y + 1;
 
             if (textWidth <= 0 || textLength == 0)
             {
@@ -576,13 +540,13 @@ public class HarnessAppComponent : ConsoleReactiveComponent<ConsoleReactiveProps
                 System.Console.Write(AnsiEscapes.MoveCursor(textInputY + cursorRow, promptLength + cursorCol + 1));
             }
         }
-        else if (state.Mode == BottomPanelMode.ListSelection
-            && state.ListSelectionCustomTextPlaceholder != null
-            && state.ListSelectionIndex == state.ListSelectionOptions.Count)
+        else if (props.Mode == BottomPanelMode.ListSelection
+            && props.ListCustomTextPlaceholder != null
+            && state.SelectedIndex == props.Items.Count)
         {
-            int titleLines = state.ListSelectionTitle?.Split('\n').Length ?? 0;
-            int customOptionY = (this._rule.Props?.Y ?? 0) + 1 + titleLines + state.ListSelectionOptions.Count;
-            int cursorCol = 2 + state.ListSelectionCustomInputText.Length + 1;
+            int titleLines = props.ListTitle?.Split('\n').Length ?? 0;
+            int customOptionY = this._rule.Y + 1 + titleLines + props.Items.Count;
+            int cursorCol = 2 + state.ListInputText.Length + 1;
             System.Console.Write(AnsiEscapes.MoveCursor(customOptionY, cursorCol));
         }
     }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessAppComponentState.cs

@@ -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; }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessConsole.cs

@@ -1,8 +1,9 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-using System.Text;
-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;
 
@@ -14,63 +15,244 @@ 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();
 
-        System.Console.OutputEncoding = Encoding.UTF8;
-
-        // 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));
+        }
 
+        var todoProvider = agent.GetService<TodoProvider>();
         var modeProvider = agent.GetService<AgentModeProvider>();
         var messageInjector = agent.GetService<MessageInjectingChatClient>();
 
-        AgentSession session = options.SessionFactory is not null
-            ? await options.SessionFactory(agent)
-            : await agent.CreateSessionAsync();
+        var commandHandlers = new List<CommandHandler>
+        {
+            new TodoCommandHandler(todoProvider),
+            new ModeCommandHandler(modeProvider, options.ModeColors),
+        };
 
-        using var component = new HarnessAppComponent(
+        AgentSession session = await agent.CreateSessionAsync();
+
+        using var ux = new HarnessUXContainer(
             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);
 
-        // Trigger the initial render of the component now that state is seeded.
-        component.Render();
+        // Streaming-mode submissions are enqueued for injection; the queued display
+        // is then refreshed from the injector's current pending list.
+        ux.StreamingInputReceived += (sender, e) =>
+        {
+            if (messageInjector is null)
+            {
+                return;
+            }
 
-        try
+            messageInjector.EnqueueMessages(session, [new ChatMessage(ChatRole.User, e.Text)]);
+            ux.ShowQueuedMessages(messageInjector.GetPendingMessages(session));
+        };
+
+        var commandHelp = commandHandlers
+            .Select(h => h.GetHelpText())
+            .Where(t => t is not null)
+            .Append("exit (quit)")!;
+
+        ux.Initialize(title, commandHelp!, messageInjector is not null);
+
+        string userInput = await ux.WaitForInputAsync();
+
+        while (!string.IsNullOrWhiteSpace(userInput) && !userInput.Equals("exit", StringComparison.OrdinalIgnoreCase))
         {
-            await component.ShutdownTask.ConfigureAwait(false);
-        }
-        finally
-        {
-            component.Deactivate();
+            ux.WriteUserInputEcho(userInput);
+
+            // Check command handlers first — first one to handle wins.
+            bool handled = false;
+            foreach (var handler in commandHandlers)
+            {
+                if (await handler.TryHandleAsync(userInput, session, ux).ConfigureAwait(false))
+                {
+                    handled = true;
+                    break;
+                }
+            }
+
+            if (!handled)
+            {
+                await RunAgentTurnAsync(agent, session, modeProvider, messageInjector, options, ux, userInput);
+            }
+
+            ux.CurrentMode = modeProvider?.GetMode(session);
+            userInput = await ux.WaitForInputAsync();
         }
 
+        ux.Deactivate();
         System.Console.ResetColor();
-        System.Console.Write(AnsiEscapes.ResetScrollRegion);
-        System.Console.Write(AnsiEscapes.EraseScrollbackBuffer);
-        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,
+        MessageInjectingChatClient? messageInjector,
+        HarnessConsoleOptions options,
+        HarnessUXContainer ux,
+        string userInput)
+    {
+        IList<ChatMessage>? nextMessages = [new ChatMessage(ChatRole.User, userInput)];
+        IReadOnlyList<ChatMessage> lastPendingMessages = messageInjector?.GetPendingMessages(session) ?? [];
+
+        while (nextMessages is not null)
+        {
+            var observers = CreateObservers(options, modeProvider, session);
+
+            var runOptions = new AgentRunOptions();
+            foreach (var observer in observers)
+            {
+                observer.ConfigureRunOptions(runOptions);
+            }
+
+            ux.CurrentMode = modeProvider?.GetMode(session);
+            ux.BeginStreaming();
+            ux.BeginStreamingOutput();
+
+            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 != ux.CurrentMode)
+                        {
+                            ux.CurrentMode = currentMode;
+                        }
+                    }
+
+                    foreach (var content in update.Contents)
+                    {
+                        foreach (var observer in observers)
+                        {
+                            await observer.OnContentAsync(ux, content);
+                        }
+                    }
+
+                    if (!string.IsNullOrEmpty(update.Text))
+                    {
+                        foreach (var observer in observers)
+                        {
+                            await observer.OnTextAsync(ux, update.Text);
+                        }
+                    }
+
+                    SyncQueuedMessageDisplay(messageInjector, session, ux, ref lastPendingMessages);
+                }
+            }
+            catch (Exception ex)
+            {
+                await ux.WriteInfoLineAsync($"❌ Stream error: {ex.GetType().Name}:\n{ex}", ConsoleColor.Red);
+            }
+
+            // Final sync after streaming — messages may have been consumed during the last iteration.
+            SyncQueuedMessageDisplay(messageInjector, session, ux, ref lastPendingMessages);
+
+            // Stop spinner before observer completions (which may prompt for input).
+            ux.StopSpinner();
+
+            // Close the streaming output to provide visual separation from observer output.
+            await ux.EndStreamingOutputAsync();
+
+            var combinedMessages = new List<ChatMessage>();
+            bool hasObserverMessages = false;
+            foreach (var observer in observers)
+            {
+                var messages = await observer.OnStreamCompleteAsync(ux, agent, session, options);
+                if (messages is { Count: > 0 })
+                {
+                    combinedMessages.AddRange(messages);
+                    hasObserverMessages = true;
+                }
+            }
+
+            await ux.WriteNoTextWarningAsync(hasFollowUpMessages: hasObserverMessages);
+
+            ux.EndStreaming();
+
+            nextMessages = combinedMessages.Count > 0 ? combinedMessages : null;
+        }
+    }
+
+    /// <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 static void SyncQueuedMessageDisplay(
+        MessageInjectingChatClient? messageInjector,
+        AgentSession session,
+        HarnessUXContainer ux,
+        ref IReadOnlyList<ChatMessage> lastPendingMessages)
+    {
+        if (messageInjector is null)
+        {
+            return;
+        }
+
+        var pending = messageInjector.GetPendingMessages(session);
+
+        // If previously pending messages exceed current pending count, some were consumed.
+        int consumedCount = lastPendingMessages.Count - pending.Count;
+        for (int i = 0; i < consumedCount && i < lastPendingMessages.Count; i++)
+        {
+            string text = lastPendingMessages[i].Text ?? string.Empty;
+            ux.WriteUserInputEcho(text);
+        }
+
+        lastPendingMessages = pending;
+        ux.ShowQueuedMessages(pending);
+    }
+
+    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),
+        };
+
+        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;
+    }
 }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessConsoleOptions.cs

@@ -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>
@@ -14,127 +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>
-    /// Gets or sets an optional factory for creating the <see cref="AgentSession"/>.
-    /// When <see langword="null"/> (the default), <see cref="AIAgent.CreateSessionAsync"/> is used.
-    /// </summary>
-    public Func<AIAgent, Task<AgentSession>>? SessionFactory { get; set; }
-
-    /// <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),
-            new SessionCommandHandler(agent),
-        ];
-    }
+        ["plan"] = ConsoleColor.Cyan,
+        ["execute"] = ConsoleColor.Green,
+    };
 }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessConsoleUXStateDriver.cs

@@ -1,416 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Harness.ConsoleReactiveComponents;
-using Microsoft.Agents.AI;
-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 Func<AgentSession, Task> _replaceSession;
-    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="replaceSession">Callback invoked to replace the current agent session (e.g., on import).</param>
-    /// <param name="modeColors">Optional mapping of mode names to console colors.</param>
-    public HarnessConsoleUXStateDriver(
-        Func<HarnessAppComponentState> getState,
-        Action<HarnessAppComponentState> setState,
-        Action requestShutdown,
-        Func<AgentSession, Task> replaceSession,
-        IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
-    {
-        this._getState = getState;
-        this._setState = setState;
-        this._requestShutdown = requestShutdown;
-        this._replaceSession = replaceSession;
-        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();
-
-    /// <inheritdoc/>
-    public Task ReplaceSessionAsync(AgentSession newSession) => this._replaceSession(newSession);
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessTracing.cs

@@ -1,55 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-#pragma warning disable VSTHRD002 // Synchronous waits are required by OpenTelemetry enrichment callbacks.
-
-using OpenTelemetry;
-using OpenTelemetry.Trace;
-
-namespace Harness.Shared.Console;
-
-/// <summary>
-/// Provides factory methods for creating pre-configured OpenTelemetry tracing for harness samples.
-/// </summary>
-public static class HarnessTracing
-{
-    /// <summary>
-    /// Creates a <see cref="TracerProvider"/> that captures spans from the specified source and HTTP client activity,
-    /// enriching HTTP spans with full request/response headers and bodies, and exports all spans to a timestamped
-    /// text file in the application base directory.
-    /// </summary>
-    /// <param name="sourceName">The activity source name to subscribe to (e.g., "Harness.Research").</param>
-    /// <returns>A configured <see cref="TracerProvider"/>, or <see langword="null"/> if the builder returns null.</returns>
-    public static TracerProvider? CreateFileTracerProvider(string sourceName)
-    {
-        var traceLogPath = Path.Combine(AppContext.BaseDirectory, $"traces_{DateTime.UtcNow:yyyyMMdd_HHmmss}_{Guid.NewGuid()}.log");
-
-        return Sdk.CreateTracerProviderBuilder()
-            .AddSource(sourceName)
-            .AddHttpClientInstrumentation((options) =>
-            {
-                options.EnrichWithHttpRequestMessage = (activity, request) =>
-                {
-                    activity.SetTag("http.request.headers", request.Headers.ToString());
-                    if (request.Content != null)
-                    {
-                        activity.SetTag("http.request.content.headers", request.Content.Headers.ToString());
-                        var content = request.Content.ReadAsStringAsync().GetAwaiter().GetResult();
-                        activity.SetTag("http.request.content.body", content);
-                    }
-                };
-
-                options.EnrichWithHttpResponseMessage = (activity, response) =>
-                {
-                    activity.SetTag("http.response.headers", response.Headers.ToString());
-                    if (response.Content != null)
-                    {
-                        activity.SetTag("http.response.content.headers", response.Content.Headers.ToString());
-                        var content = response.Content.ReadAsStringAsync().GetAwaiter().GetResult();
-                        activity.SetTag("http.response.content.body", content);
-                    }
-                };
-            })
-            .AddProcessor(new SimpleActivityExportProcessor(new FileSpanExporter(traceLogPath)))
-            .Build();
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/HarnessUXContainer.cs

@@ -0,0 +1,478 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Harness.ConsoleReactiveComponents;
+using Microsoft.Extensions.AI;
+
+namespace Harness.Shared.Console;
+
+/// <summary>
+/// Event arguments raised when the user submits text while the bottom panel is in
+/// streaming mode (i.e. an agent turn is in progress).
+/// </summary>
+public sealed class StreamingInputReceivedEventArgs : EventArgs
+{
+    /// <summary>
+    /// Initializes a new instance of the <see cref="StreamingInputReceivedEventArgs"/> class.
+    /// </summary>
+    /// <param name="text">The submitted text.</param>
+    public StreamingInputReceivedEventArgs(string text)
+    {
+        this.Text = text;
+    }
+
+    /// <summary>
+    /// Gets the submitted text.
+    /// </summary>
+    public string Text { get; }
+}
+
+/// <summary>
+/// Façade over the harness UI: owns the <see cref="HarnessAppComponent"/>, manages
+/// its props, dispatches input submissions, and provides the high-level read/write
+/// operations used by observers, command handlers, and the harness loop.
+/// </summary>
+/// <remarks>
+/// All callers interact with the UI exclusively through this class. The underlying
+/// <see cref="HarnessAppComponent"/> and its props are an implementation detail and
+/// must not be exposed.
+/// </remarks>
+public sealed class HarnessUXContainer : IDisposable
+{
+    /// <summary>
+    /// The prompt displayed in the bottom-panel input area.
+    /// </summary>
+    private const string UserPrompt = "> ";
+
+    private readonly IReadOnlyDictionary<string, ConsoleColor>? _modeColors;
+    private readonly List<object> _outputItems = [];
+    private readonly HarnessAppComponent _appComponent;
+    private readonly object _outputLock = new();
+
+    private TaskCompletionSource<string>? _pendingInputTcs;
+    private OutputEntryType? _lastEntryType;
+    private bool _hasReceivedAnyText;
+    private OutputEntry? _currentStreamingEntry;
+    private string? _currentMode;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="HarnessUXContainer"/> 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="modeColors">Optional mapping of mode names to console colors.</param>
+    public HarnessUXContainer(
+        string placeholder,
+        string? initialMode,
+        bool inputEnabled,
+        IReadOnlyDictionary<string, ConsoleColor>? modeColors = null)
+    {
+        this._modeColors = modeColors;
+        this._currentMode = initialMode;
+
+        this._appComponent = new HarnessAppComponent(RenderOutputEntry)
+        {
+            Props = new HarnessAppComponentProps
+            {
+                ScrollItems = this._outputItems,
+                Mode = BottomPanelMode.TextInput,
+                Prompt = UserPrompt,
+                Placeholder = placeholder,
+                ModeColor = ModeColors.Get(initialMode, modeColors),
+                ModeText = initialMode,
+                InputEnabled = inputEnabled,
+            },
+        };
+
+        this._appComponent.InputSubmitted += this.OnInputSubmitted;
+    }
+
+    /// <summary>
+    /// Raised when the user submits text while the bottom panel is in streaming mode.
+    /// Subscribers typically enqueue the text into a message-injecting chat client.
+    /// </summary>
+    public event EventHandler<StreamingInputReceivedEventArgs>? StreamingInputReceived;
+
+    /// <summary>
+    /// Gets or sets the current agent mode (e.g. "plan", "execute"). Updating this
+    /// also refreshes the rule colour and bottom-panel prompt to match the new mode.
+    /// </summary>
+    public string? CurrentMode
+    {
+        get => this._currentMode;
+        set
+        {
+            this._currentMode = value;
+            this._appComponent.Props = this._appComponent.Props! with
+            {
+                ModeColor = ModeColors.Get(value, this._modeColors),
+                ModeText = value,
+            };
+            this._appComponent.Render();
+        }
+    }
+
+    /// <summary>
+    /// Performs the initial screen clear, sets the help text in the mode-and-help bar,
+    /// and adds the title to the output area.
+    /// </summary>
+    /// <param name="title">The title displayed in the console header.</param>
+    /// <param name="commandHelpTexts">The command help strings displayed in the mode-and-help bar.</param>
+    /// <param name="messageInjectionActive">Whether streaming-time message injection is enabled.</param>
+    public void Initialize(string title, IEnumerable<string> commandHelpTexts, bool messageInjectionActive)
+    {
+        // Set the help text on the mode-and-help bar (persists below the rule).
+        this._appComponent.Props = this._appComponent.Props! with
+        {
+            HelpText = string.Join(", ", commandHelpTexts),
+            ModeText = this._currentMode,
+        };
+
+        System.Console.Write(AnsiEscapes.EraseEntireScreen);
+        System.Console.Write(AnsiEscapes.EraseScrollbackBuffer);
+        this._appComponent.Render();
+
+        this.AppendOutputEntries(
+            new OutputEntry(OutputEntryType.InfoLine, $"=== {title} ===\n", ConsoleColor.White),
+            new OutputEntry(OutputEntryType.InfoLine, "\n"));
+    }
+
+    /// <summary>
+    /// Restores the cursor and exits the alternate screen, ending the interactive UI.
+    /// </summary>
+    public void Deactivate() => this._appComponent.Deactivate();
+
+    /// <summary>
+    /// Switches the bottom panel to streaming mode and starts the spinner.
+    /// </summary>
+    public void BeginStreaming()
+    {
+        this._appComponent.Props = this._appComponent.Props! with
+        {
+            Mode = BottomPanelMode.Streaming,
+            ShowSpinner = true,
+        };
+        this._appComponent.Render();
+    }
+
+    /// <summary>
+    /// Stops the spinner without leaving streaming mode. Use between the end of the
+    /// stream and any observer-driven prompts (e.g. tool approvals).
+    /// </summary>
+    public void StopSpinner()
+    {
+        this._appComponent.Props = this._appComponent.Props! with { ShowSpinner = false };
+        this._appComponent.Render();
+    }
+
+    /// <summary>
+    /// Switches the bottom panel back to text-input mode and stops the spinner.
+    /// </summary>
+    public void EndStreaming()
+    {
+        this._appComponent.Props = this._appComponent.Props! with
+        {
+            Mode = BottomPanelMode.TextInput,
+            ShowSpinner = false,
+        };
+        this._appComponent.Render();
+    }
+
+    /// <summary>
+    /// Resets per-turn streaming bookkeeping in preparation for a new agent turn.
+    /// </summary>
+    public void BeginStreamingOutput()
+    {
+        this._hasReceivedAnyText = false;
+        this._currentStreamingEntry = null;
+    }
+
+    /// <summary>
+    /// Sets the formatted usage text shown on the agent status bar.
+    /// </summary>
+    public void SetUsageText(string usageText)
+    {
+        this._appComponent.Props = this._appComponent.Props! with { UsageText = usageText };
+        this._appComponent.Render();
+    }
+
+    /// <summary>
+    /// Clears the usage text from the agent status bar.
+    /// </summary>
+    public void ClearUsageText()
+    {
+        this._appComponent.Props = this._appComponent.Props! with { UsageText = null };
+        this._appComponent.Render();
+    }
+
+    /// <summary>
+    /// Replaces the queued-message display with one entry per pending message.
+    /// </summary>
+    public void ShowQueuedMessages(IReadOnlyList<ChatMessage> pending)
+    {
+        var newQueued = new List<object>(pending.Count);
+        foreach (var msg in pending)
+        {
+            string text = msg.Text ?? string.Empty;
+            newQueued.Add(new OutputEntry(OutputEntryType.UserInput, $"  💬 {text}\n", ConsoleColor.DarkGray));
+        }
+
+        this._appComponent.Props = this._appComponent.Props! with { QueuedItems = newQueued };
+        this._appComponent.Render();
+    }
+
+    /// <summary>
+    /// Echoes a submitted user input as a regular user-input entry in the output area,
+    /// using the current mode-aware prompt prefix.
+    /// </summary>
+    /// <param name="text">The user-entered text.</param>
+    public void WriteUserInputEcho(string text)
+    {
+        this.AppendOutputEntries(new OutputEntry(
+            OutputEntryType.UserInput,
+            $"\nYou: {text}\n",
+            ConsoleColor.Green));
+    }
+
+    /// <summary>
+    /// Writes informational output as an output entry, without a trailing newline.
+    /// </summary>
+    public Task WriteInfoAsync(string text, ConsoleColor? color = null) =>
+        this.WriteInfoCoreAsync(text, color, newLine: false);
+
+    /// <summary>
+    /// Writes informational output as an output entry, followed by a newline.
+    /// </summary>
+    public Task WriteInfoLineAsync(string text, ConsoleColor? color = null) =>
+        this.WriteInfoCoreAsync(text, color, newLine: true);
+
+    private Task WriteInfoCoreAsync(string text, ConsoleColor? color, bool newLine)
+    {
+        // Add a blank line separator when transitioning from streaming text or user input.
+        string prefix = this._lastEntryType is OutputEntryType.StreamingText or OutputEntryType.StreamFooter
+            ? "\n\n  "
+            : "  ";
+
+        string fullText = newLine ? prefix + text + "\n" : prefix + text;
+        this.AppendOutputEntries(new OutputEntry(
+            OutputEntryType.InfoLine,
+            fullText,
+            color ?? ModeColors.Get(this.CurrentMode, this._modeColors)));
+        return Task.CompletedTask;
+    }
+
+    /// <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>
+    public Task WriteTextAsync(string text, ConsoleColor? color = null)
+    {
+        lock (this._outputLock)
+        {
+            this._lastEntryType = OutputEntryType.StreamingText;
+            this._hasReceivedAnyText = true;
+
+            ConsoleColor effectiveColor = color ?? ModeColors.Get(this.CurrentMode, this._modeColors);
+
+            if (this._currentStreamingEntry is not null)
+            {
+                this._currentStreamingEntry = this._currentStreamingEntry with
+                {
+                    Text = this._currentStreamingEntry.Text + text,
+                };
+                this._outputItems[^1] = this._currentStreamingEntry;
+            }
+            else
+            {
+                const string Prefix = "\n";
+                this._currentStreamingEntry = new OutputEntry(OutputEntryType.StreamingText, Prefix + text, effectiveColor);
+                this._outputItems.Add(this._currentStreamingEntry);
+            }
+
+            this._appComponent.Props = this._appComponent.Props! with
+            {
+                ScrollItems = new List<object>(this._outputItems),
+            };
+        }
+
+        this._appComponent.Render();
+        return Task.CompletedTask;
+    }
+
+    /// <summary>
+    /// Writes a blank-line separator to visually close the streaming output section.
+    /// Call before observer completions so their output is visually separated.
+    /// </summary>
+    public Task EndStreamingOutputAsync()
+    {
+        lock (this._outputLock)
+        {
+            this._outputItems.Add(new OutputEntry(OutputEntryType.StreamFooter, "\n"));
+            this._currentStreamingEntry = null;
+            this._lastEntryType = OutputEntryType.StreamFooter;
+            this._appComponent.Props = this._appComponent.Props! with
+            {
+                ScrollItems = new List<object>(this._outputItems),
+            };
+        }
+
+        this._appComponent.Render();
+        return Task.CompletedTask;
+    }
+
+    /// <summary>
+    /// Shows a "(no text response from agent)" warning if no text was received
+    /// and no observer produced follow-up messages. Call after observer completions.
+    /// </summary>
+    /// <param name="hasFollowUpMessages">Whether any observer produced follow-up messages.</param>
+    public Task WriteNoTextWarningAsync(bool hasFollowUpMessages)
+    {
+        if (!this._hasReceivedAnyText && !hasFollowUpMessages)
+        {
+            this.AppendOutputEntries(new OutputEntry(
+                OutputEntryType.StreamFooter,
+                "  (no text response from agent)\n",
+                ConsoleColor.DarkYellow));
+        }
+
+        return Task.CompletedTask;
+    }
+
+    /// <summary>
+    /// Reads a line of input from the user. If <paramref name="prompt"/> is supplied
+    /// it is rendered as an info line above the input row before reading.
+    /// </summary>
+    public async Task<string?> ReadLineAsync(string? prompt = null, ConsoleColor? promptColor = null)
+    {
+        if (prompt is not null)
+        {
+            ConsoleColor ruleColor = ModeColors.Get(this.CurrentMode, this._modeColors);
+            this.AppendOutputEntries(
+                new OutputEntry(OutputEntryType.InfoLine, "\n", ruleColor),
+                new OutputEntry(OutputEntryType.InfoLine, $"  {prompt}", promptColor ?? ruleColor));
+        }
+
+        this._appComponent.Props = this._appComponent.Props! with { Mode = BottomPanelMode.TextInput };
+        this._appComponent.Render();
+
+        string input = await this.WaitForInputAsync();
+
+        this.AppendOutputEntries(new OutputEntry(
+            OutputEntryType.UserInput,
+            $"\nYou: {input}\n",
+            ConsoleColor.Green));
+
+        return input;
+    }
+
+    /// <summary>
+    /// Presents a selection prompt with the given choices and waits for the user's
+    /// selection. The title is displayed above the list in the bottom panel. After
+    /// selection the bottom panel is restored to text-input mode and both the question
+    /// and selection are echoed in the output area.
+    /// </summary>
+    public async Task<string> ReadSelectionAsync(string title, IList<string> choices)
+    {
+        this._appComponent.Props = this._appComponent.Props! with
+        {
+            Mode = BottomPanelMode.ListSelection,
+            Items = choices.ToList(),
+            ListTitle = title,
+            ListCustomTextPlaceholder = "✏️  Type a custom response...",
+        };
+        this._appComponent.Render();
+
+        string selection = await this.WaitForInputAsync();
+
+        this._appComponent.Props = this._appComponent.Props with { Mode = BottomPanelMode.TextInput };
+
+        this.AppendOutputEntries(
+            new OutputEntry(
+                OutputEntryType.InfoLine,
+                $"\n  {title}\n",
+                ModeColors.Get(this.CurrentMode, this._modeColors)),
+            new OutputEntry(
+                OutputEntryType.UserInput,
+                $"\nYou: {selection}\n",
+                ConsoleColor.Green));
+
+        return selection;
+    }
+
+    /// <summary>
+    /// Awaits the next non-streaming user input submission.
+    /// </summary>
+    public Task<string> WaitForInputAsync()
+    {
+        this._pendingInputTcs = new TaskCompletionSource<string>(TaskCreationOptions.RunContinuationsAsynchronously);
+        return this._pendingInputTcs.Task;
+    }
+
+    private void OnInputSubmitted(object? sender, InputSubmittedEventArgs e)
+    {
+        if (e.Mode == BottomPanelMode.Streaming)
+        {
+            this.StreamingInputReceived?.Invoke(this, new StreamingInputReceivedEventArgs(e.Text));
+        }
+        else
+        {
+            var waiter = this._pendingInputTcs;
+            this._pendingInputTcs = null;
+            waiter?.TrySetResult(e.Text);
+        }
+    }
+
+    /// <inheritdoc/>
+    public void Dispose()
+    {
+        this._appComponent.InputSubmitted -= this.OnInputSubmitted;
+        this._appComponent.Deactivate();
+        this._appComponent.Dispose();
+    }
+
+    /// <summary>
+    /// Renders an <see cref="OutputEntry"/> to a string with ANSI color codes.
+    /// Used as the render delegate for the <see cref="HarnessAppComponent"/>.
+    /// </summary>
+    private static string RenderOutputEntry(object item)
+    {
+        if (item is not OutputEntry entry)
+        {
+            return item?.ToString() ?? string.Empty;
+        }
+
+        if (entry.Color.HasValue)
+        {
+            return $"{AnsiEscapes.SetForegroundColor(entry.Color.Value)}{entry.Text}{AnsiEscapes.ResetAttributes}";
+        }
+
+        return entry.Text;
+    }
+
+    /// <summary>
+    /// Appends one or more output entries to the output list under lock,
+    /// updates <see cref="_lastEntryType"/> to the last entry's type, and renders.
+    /// </summary>
+    private void AppendOutputEntries(params OutputEntry[] entries)
+    {
+        lock (this._outputLock)
+        {
+            foreach (OutputEntry entry in entries)
+            {
+                this._outputItems.Add(entry);
+            }
+
+            if (entries.Length > 0)
+            {
+                this._lastEntryType = entries[^1].Type;
+            }
+
+            this._appComponent.Props = this._appComponent.Props! with
+            {
+                ScrollItems = new List<object>(this._outputItems),
+            };
+        }
+
+        this._appComponent.Render();
+    }
+}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Harness_Shared_Console.csproj

@@ -7,11 +7,6 @@
     <ImplicitUsings>enable</ImplicitUsings>
   </PropertyGroup>
 
-  <ItemGroup>
-    <PackageReference Include="OpenTelemetry" />
-    <PackageReference Include="OpenTelemetry.Instrumentation.Http" />
-  </ItemGroup>
-
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
     <ProjectReference Include="..\ConsoleReactiveFramework\ConsoleReactiveFramework.csproj" />

dotnet/samples/02-agents/Harness/Harness_Shared_Console/IUXStateDriver.cs

@@ -1,128 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using Microsoft.Agents.AI;
-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();
-
-    /// <summary>
-    /// Replaces the current agent session with the specified session (e.g., after importing
-    /// a serialized session from a file).
-    /// </summary>
-    /// <param name="newSession">The new session to use.</param>
-    Task ReplaceSessionAsync(AgentSession newSession);
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/ConsoleObserver.cs

@@ -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="ux">The harness UX container, used for rendering output and interacting with the user.</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(HarnessUXContainer ux, 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="ux">The harness UX container, used for rendering output and interacting with the user.</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(HarnessUXContainer ux, 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="ux">The harness UX container, used for rendering output and interacting with the user.</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(
+        HarnessUXContainer ux,
         AIAgent agent,
-        AgentSession session) => Task.FromResult<IList<FollowUpAction>?>(null);
+        AgentSession session,
+        HarnessConsoleOptions options) => Task.FromResult<IList<ChatMessage>?>(null);
 }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/ErrorDisplayObserver.cs

@@ -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(HarnessUXContainer ux, AIContent content)
     {
         if (content is ErrorContent errorContent)
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/PlanningOutputObserver.cs

@@ -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(HarnessUXContainer ux, 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(
+        HarnessUXContainer ux,
         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();
@@ -101,9 +75,10 @@ public sealed class PlanningOutputObserver : ConsoleObserver
             return null;
         }
 
+        // Render based on response type.
         if (planningResponse.Type == PlanningResponseType.Clarification)
         {
-            return BuildClarificationActions(planningResponse);
+            return AsUserMessages(await this.RenderClarificationsAndCollectResponsesAsync(ux, planningResponse));
         }
 
         if (planningResponse.Type == PlanningResponseType.Approval)
@@ -115,87 +90,67 @@ public sealed class PlanningOutputObserver : ConsoleObserver
                 return null;
             }
 
-            return new List<FollowUpAction> { this.BuildApprovalAction(question, session) };
+            string response = await this.RenderApprovalAndCollectResponseAsync(ux, question, options);
+            if (response == "Approved")
+            {
+                this._modeProvider.SetMode(session, options.ExecutionModeName!);
+
+                await ux.WriteInfoLineAsync($"✅ Switched to {options.ExecutionModeName} mode.",
+                    ModeColors.Get(options.ExecutionModeName, options.ModeColors));
+            }
+
+            return AsUserMessages(response);
         }
 
         await ux.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(HarnessUXContainer ux, 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, $"Q: {prompt}\nA: {answer}");
-            }
-
+            string? answer;
             if (question.Choices is { Count: > 0 })
             {
-                actions.Add(new ChoiceFollowUpQuestion(
-                    Prompt: prompt,
-                    Choices: question.Choices,
-                    AllowCustomText: true,
-                    Continuation: Continuation));
+                answer = await ux.ReadSelectionAsync(
+                    question.Message,
+                    question.Choices);
             }
             else
             {
-                actions.Add(new TextFollowUpQuestion(
-                    Prompt: prompt,
-                    Continuation: Continuation));
+                answer = (await ux.ReadLineAsync(question.Message))?.Trim();
+            }
+
+            if (!string.IsNullOrWhiteSpace(answer))
+            {
+                answers.Add($"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(HarnessUXContainer ux, PlanningQuestion question, HarnessConsoleOptions options)
     {
-        const string ApproveOption = "Approve and switch to execute mode";
-        var choices = new List<string> { ApproveOption };
+        var choices = new List<string>
+        {
+            "Approve and switch to execute mode",
+        };
 
-        return new ChoiceFollowUpQuestion(
-            Prompt: question.Message,
-            Choices: choices,
-            AllowCustomText: true,
-            Continuation: async (selection, ux) =>
-            {
-                string formatted = $"🔹 {question.Message}\n   └─ {AnsiEscapes.SetForegroundColor(ConsoleColor.Green)}{selection}{AnsiEscapes.ResetAttributes}";
-                await ux.WriteInfoLineAsync(formatted, ConsoleColor.Gray).ConfigureAwait(false);
+        string selection = await ux.ReadSelectionAsync(question.Message, choices);
 
-                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");
-                }
+        if (selection == choices[0])
+        {
+            return "Approved";
+        }
 
-                // 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);
 }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/ReasoningDisplayObserver.cs

@@ -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 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(HarnessUXContainer ux, AIContent content)
     {
         if (content is TextReasoningContent reasoning && !string.IsNullOrEmpty(reasoning.Text))
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/TextOutputObserver.cs

@@ -1,17 +1,15 @@
 // 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(HarnessUXContainer ux, string text)
     {
         await ux.WriteTextAsync(text);
     }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/ToolApprovalObserver.cs

@@ -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(HarnessUXContainer ux, 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);
         }
     }
 
     /// <inheritdoc/>
-    public override Task<IList<FollowUpAction>?> OnStreamCompleteAsync(
-        IUXStateDriver ux,
+    public override async Task<IList<ChatMessage>?> OnStreamCompleteAsync(
+        HarnessUXContainer ux,
         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(ux, 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(HarnessUXContainer ux, 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 ux.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 = $"🔹 {prompt}\n   └─ {AnsiEscapes.SetForegroundColor(answerColor)}{action}{AnsiEscapes.ResetAttributes}";
-                await ux.WriteInfoLineAsync(formatted, ConsoleColor.Gray).ConfigureAwait(false);
+            string action = selection switch
+            {
+                "Always approve this tool (any arguments)" => "✅ Always approved (any args)",
+                "Always approve this tool with these arguments" => "✅ Always approved (these args)",
+                "Deny" => "❌ Denied",
+                _ => "✅ Approved",
+            };
+            await ux.WriteInfoLineAsync($"   {action}", ConsoleColor.DarkGray);
 
-                return new ChatMessage(ChatRole.User, [response]);
-            });
+            responses.Add(response);
+        }
+
+        return [new ChatMessage(ChatRole.User, responses)];
     }
 }

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/ToolCallDisplayObserver.cs

@@ -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 +8,14 @@ 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(HarnessUXContainer ux, AIContent content)
     {
         if (content is FunctionCallContent functionCall)
         {
-            await ux.WriteInfoLineAsync($"🔧 Calling tool: {ToolCallFormatter.Format(this._formatters, functionCall)}...", ConsoleColor.DarkYellow);
-        }
-        else if (content is WebSearchToolCallContent)
-        {
-            // Handled by OpenAIResponsesWebSearchDisplayObserver when present; skip here to avoid duplication.
+            await ux.WriteInfoLineAsync($"🔧 Calling tool: {ToolCallFormatter.Format(functionCall)}...", ConsoleColor.DarkYellow);
         }
         else if (content is ToolCallContent toolCall)
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/ToolCallFormatter.cs

@@ -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), "…");
+    }
+}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/Observers/UsageDisplayObserver.cs

@@ -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;
@@ -25,7 +24,7 @@ public sealed class UsageDisplayObserver : ConsoleObserver
     }
 
     /// <inheritdoc/>
-    public override Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
+    public override Task OnContentAsync(HarnessUXContainer ux, AIContent content)
     {
         if (content is UsageContent usage)
         {

dotnet/samples/02-agents/Harness/Harness_Shared_Console/OutputEntry.cs

@@ -5,7 +5,7 @@ namespace Harness.Shared.Console;
 /// <summary>
 /// Represents the type of an output entry in the console conversation.
 /// </summary>
-internal enum OutputEntryType
+public enum OutputEntryType
 {
     /// <summary>User input echo (e.g. "You: hello").</summary>
     UserInput,
@@ -25,10 +25,9 @@ internal enum OutputEntryType
 
 /// <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.
+/// These entries are rendered by the <see cref="HarnessAppComponent"/> via its render delegate.
 /// </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);
+public record OutputEntry(OutputEntryType Type, string Text, ConsoleColor? Color = null);

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/BackgroundAgentToolFormatter.cs

@@ -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>BackgroundAgents_*</c> tool calls with human-readable details
-/// for task start, continue, wait, and result retrieval operations.
-/// </summary>
-public sealed class BackgroundAgentToolFormatter : ToolCallFormatter
-{
-    /// <inheritdoc/>
-    public override bool CanFormat(FunctionCallContent call) => call.Name.StartsWith("BackgroundAgents_", StringComparison.Ordinal);
-
-    /// <inheritdoc/>
-    public override string? FormatDetail(FunctionCallContent call) => call.Name switch
-    {
-        "BackgroundAgents_StartTask" => FormatStartBackgroundTask(call),
-        "BackgroundAgents_WaitForFirstCompletion" => FormatIdList(call, "taskIds", "Wait for"),
-        "BackgroundAgents_GetTaskResults" => FormatSingleId(call, "taskId"),
-        "BackgroundAgents_ContinueTask" => FormatContinueTask(call),
-        "BackgroundAgents_ClearCompletedTask" => FormatSingleId(call, "taskId"),
-        _ => null,
-    };
-
-    private static string? FormatStartBackgroundTask(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}";
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/FallbackToolFormatter.cs

@@ -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;
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/FileMemoryToolFormatter.cs

@@ -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;
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/ModeToolFormatter.cs

@@ -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;
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/TodoToolFormatter.cs

@@ -1,128 +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" => FormatCompleteTodos(call),
-        "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? FormatCompleteTodos(FunctionCallContent call)
-    {
-        if (call.Arguments?.TryGetValue("items", out object? itemsObj) != true || itemsObj is null)
-        {
-            return null;
-        }
-
-        var entries = new List<(int Id, string? Reason)>();
-
-        if (itemsObj is JsonElement jsonArray && jsonArray.ValueKind == JsonValueKind.Array)
-        {
-            foreach (JsonElement item in jsonArray.EnumerateArray())
-            {
-                if (!item.TryGetProperty("id", out JsonElement idElement) || !idElement.TryGetInt32(out int id))
-                {
-                    continue;
-                }
-
-                string? reason = item.TryGetProperty("reason", out JsonElement reasonElement)
-                    ? reasonElement.GetString()
-                    : null;
-                entries.Add((id, reason));
-            }
-        }
-
-        if (entries.Count == 0)
-        {
-            return null;
-        }
-
-        var sb = new StringBuilder();
-        for (int i = 0; i < entries.Count; i++)
-        {
-            string connector = i < entries.Count - 1 ? "├─" : "└─";
-            sb.Append($"\n   {connector} Complete #{entries[i].Id}");
-            if (!string.IsNullOrEmpty(entries[i].Reason))
-            {
-                sb.Append($" — {Truncate(entries[i].Reason!, 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();
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/ToolCallFormatter.cs

@@ -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 BackgroundAgentToolFormatter(),
-            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), "…");
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Shared_Console/ToolFormatters/WebSearchToolFormatter.cs

@@ -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;
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Step01_Research/DownloadUriToolFormatter.cs

@@ -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;
-    }
-}

dotnet/samples/02-agents/Harness/Harness_Step01_Research/Harness_Step01_Research.csproj

@@ -13,8 +13,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-    <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>
 

dotnet/samples/02-agents/Harness/Harness_Step01_Research/OpenAIResponsesWebSearchDisplayObserver.cs

@@ -1,206 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-#pragma warning disable OPENAI001 // Suppress experimental API warnings for Responses API usage.
-
-using System.Text;
-using Harness.Shared.Console;
-using Harness.Shared.Console.Observers;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-using OpenAI.Responses;
-
-namespace SampleApp;
-
-/// <summary>
-/// Displays web search activity in the scroll area. Shows search queries,
-/// page opens, and find-in-page actions as they stream in from the API.
-/// </summary>
-internal sealed class OpenAIResponsesWebSearchDisplayObserver : ConsoleObserver
-{
-    private const int MaxQueryDisplayLength = 120;
-
-    /// <inheritdoc/>
-    public override async Task OnContentAsync(IUXStateDriver ux, AIContent content, AIAgent agent, AgentSession session)
-    {
-        if (content is WebSearchToolResultContent resultContent
-            && resultContent.RawRepresentation is WebSearchCallResponseItem wscri)
-        {
-            await WriteActionAsync(ux, wscri, resultContent.Outputs);
-        }
-    }
-
-    private static async Task WriteActionAsync(IUXStateDriver ux, WebSearchCallResponseItem wscri, IList<AIContent>? outputs)
-    {
-        WebSearchAction? action = wscri.Action;
-        if (action is null)
-        {
-            await ux.WriteInfoLineAsync("🌐 Web Search Tool (no action details)", ConsoleColor.DarkCyan);
-            return;
-        }
-
-        switch (action)
-        {
-            case WebSearchFindInPageAction findInPage:
-                await WriteFindInPageAsync(ux, findInPage);
-                break;
-
-            case WebSearchOpenPageAction openPage:
-                await WriteOpenPageAsync(ux, openPage);
-                break;
-
-            case WebSearchSearchAction search:
-                await WriteSearchAsync(ux, search, outputs);
-                break;
-
-            default:
-                await ux.WriteInfoLineAsync("🌐 Web Search Tool (unknown action)", ConsoleColor.DarkCyan);
-                break;
-        }
-    }
-
-    private static async Task WriteSearchAsync(IUXStateDriver ux, WebSearchSearchAction search, IList<AIContent>? outputs)
-    {
-        // Read queries directly from the typed action.
-        IList<string> queries = search.Queries;
-
-        if (queries.Count == 0)
-        {
-            await ux.WriteInfoLineAsync("🌐 Web Search Tool: search", ConsoleColor.DarkCyan);
-            return;
-        }
-
-        var sb = new StringBuilder();
-        sb.Append("🌐 Web Search Tool: search");
-
-        // Show the search queries.
-        bool hasResults = outputs is { Count: > 0 };
-        for (int i = 0; i < queries.Count; i++)
-        {
-            string connector = (i < queries.Count - 1 || hasResults) ? "├─" : "└─";
-            string query = Truncate(queries[i], MaxQueryDisplayLength);
-            sb.Append($"\n   {connector} \"{query}\"");
-        }
-
-        // Show search result sources (URLs + titles) when available.
-        // Sources come from M.E.AI's Outputs when IncludedResponseProperty.WebSearchCallActionSources is set,
-        // or directly from the SDK's WebSearchSearchAction.Sources.
-        if (hasResults)
-        {
-            sb.Append("\n   │");
-            for (int i = 0; i < outputs!.Count; i++)
-            {
-                string connector = i < outputs.Count - 1 ? "├─" : "└─";
-                string line = FormatOutput(outputs[i]);
-                sb.Append($"\n   {connector} {line}");
-            }
-        }
-        else if (search.Sources is { Count: > 0 } sources)
-        {
-            sb.Append("\n   │");
-            for (int i = 0; i < sources.Count; i++)
-            {
-                string connector = i < sources.Count - 1 ? "├─" : "└─";
-                string line = FormatSource(sources[i]);
-                sb.Append($"\n   {connector} {line}");
-            }
-        }
-
-        await ux.WriteInfoLineAsync(sb.ToString(), ConsoleColor.DarkCyan);
-    }
-
-    private static async Task WriteOpenPageAsync(IUXStateDriver ux, WebSearchOpenPageAction openPage)
-    {
-        string url = openPage.Uri?.AbsoluteUri ?? "(unknown)";
-        await ux.WriteInfoLineAsync(
-            $"🌐 Web Search Tool: open page\n   └─ {url}",
-            ConsoleColor.DarkCyan);
-    }
-
-    private static async Task WriteFindInPageAsync(IUXStateDriver ux, WebSearchFindInPageAction findInPage)
-    {
-        string url = findInPage.Uri?.AbsoluteUri ?? "(unknown)";
-        string pattern = findInPage.Pattern ?? "(unknown)";
-
-        await ux.WriteInfoLineAsync(
-            $"🌐 Web Search Tool: find in page\n   ├─ \"{Truncate(pattern, MaxQueryDisplayLength)}\"\n   └─ {url}",
-            ConsoleColor.DarkCyan);
-    }
-
-    /// <summary>
-    /// Formats a single search result source from the SDK's <see cref="WebSearchActionSource"/> for display.
-    /// </summary>
-    private static string FormatSource(WebSearchActionSource source)
-    {
-        if (source is WebSearchActionUriSource uriSource)
-        {
-            string url = uriSource.Uri?.AbsoluteUri ?? "(unknown)";
-
-            // WebSearchActionUriSource doesn't expose a title property,
-            // but the API may include one in the raw response JSON.
-            string? title = GetTitleFromRawRepresentation(uriSource);
-
-            return title is not null
-                ? $"{Truncate(title, MaxQueryDisplayLength)} — {url}"
-                : url;
-        }
-
-        return source.ToString() ?? "(unknown source)";
-    }
-
-    /// <summary>
-    /// Formats a single search result output from M.E.AI's <see cref="AIContent"/> for display.
-    /// </summary>
-    private static string FormatOutput(AIContent output)
-    {
-        if (output is UriContent uriContent)
-        {
-            string url = uriContent.Uri?.AbsoluteUri ?? "(unknown)";
-
-            // Try to extract a title from the raw JSON of the source.
-            // The SDK's WebSearchActionUriSource doesn't expose a title property,
-            // but the API may include one in the raw response.
-            string? title = GetTitleFromRawRepresentation(uriContent.RawRepresentation)
-                ?? (uriContent.AdditionalProperties?.TryGetValue("title", out var t) is true ? t?.ToString() : null);
-
-            return title is not null
-                ? $"{Truncate(title, MaxQueryDisplayLength)} — {url}"
-                : url;
-        }
-
-        return output.ToString() ?? "(unknown output)";
-    }
-
-    /// <summary>
-    /// Attempts to extract a "title" field from a raw representation object by serializing it to JSON.
-    /// The SDK's <see cref="WebSearchActionUriSource"/> doesn't expose a title property,
-    /// but the API may include one in the raw JSON — this is forward-compatible for when
-    /// the SDK adds title support.
-    /// </summary>
-    private static string? GetTitleFromRawRepresentation(object? rawRepresentation)
-    {
-        if (rawRepresentation is null)
-        {
-            return null;
-        }
-
-        try
-        {
-            var data = System.ClientModel.Primitives.ModelReaderWriter.Write(rawRepresentation);
-            using var doc = System.Text.Json.JsonDocument.Parse(data);
-            if (doc.RootElement.TryGetProperty("title", out var titleEl)
-                && titleEl.ValueKind == System.Text.Json.JsonValueKind.String)
-            {
-                return titleEl.GetString();
-            }
-        }
-        catch
-        {
-            // Serialization may not be supported for this object type.
-        }
-
-        return null;
-    }
-
-    private static string Truncate(string text, int maxLength)
-        => text.Length <= maxLength ? text : string.Concat(text.AsSpan(0, maxLength - 1), "…");
-}

dotnet/samples/02-agents/Harness/Harness_Step01_Research/Program.cs

@@ -1,118 +1,192 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-// This sample demonstrates how to use a HarnessAgent for interactive research tasks.
-// The HarnessAgent comes pre-configured with TodoProvider, AgentModeProvider, FileMemoryProvider,
-// ToolApproval, WebSearch, and OpenTelemetry — so this sample only needs custom instructions
-// and a WebBrowsingTool.
+// 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,
 // and then executes each step — all within an interactive conversation loop.
 //
 // 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.
 
 using System.ClientModel.Primitives;
-using Azure.AI.Projects;
 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;
 using SampleApp;
 
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+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;
-const string TracingSourceName = "Harness.Research";
 
-// Set up OpenTelemetry tracing that writes spans to a text file.
-// This captures all agent activity (tool calls, model invocations, compaction, etc.)
-// as well as HTTP requests made by the underlying HttpClient transport.
-using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
-
-// 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 =
     """
-    ## Research Assistant Instructions
-
     You are a research assistant. When given a research topic, research it thoroughly using web search and web browsing.
     Use your knowledge to form good search queries and hypotheses, but always verify claims with the tools available to you rather than relying on memory alone.
 
-    ### Research quality
+    ## Mandatory planning workflow
+
+    For every new substantive user request, including short factual questions, your behavior is determined by the mode you are in.
+    If you are in plan mode, start with the *Plan Mode* steps, and if you are in execute mode, skip directly to the *Execute Mode* steps below.
+
+    *Plan Mode*
+
+    1. Analyze the request with the purpose of building a research plan.
+    2. Create a list of todo items.
+    3. If needed, use the provided tools to do some exploratory checks to help build a plan and determine what clarifying questions you may need from the user.
+    4. Ask for clarifications from the user where needed.
+      1. Ask each clarification one by one.
+      2. When asking for clarification and you have specific options in mind, present them to the user, so they can choose the option instead of having to retype the entire response.
+      3. Do not proceed until you have received all the needed clarifications.
+      4. Do short exploratory research if it helps with being able to ask sensible clarifications from the user.
+    5. Write the plan to a memory file, so that it is retained even if compaction happens. Make sure to update the plan file if the user requests changes.
+    6. Present the plan to the user and ask for approval to switch to execute mode and process the plan.
+    7. When approval is granted, always switch to execute mode (using the `AgentMode_Set` tool), and follow the steps for *Execute mode*.
+
+    *Execute Mode*
+
+    1. If you don't have a plan or tasks yet, analyse the user request and create tasks and a plan. (**Skip this step if you came from plan mode**)
+    2. Work autonomously — use your best judgement to make decisions and keep progressing without asking the user questions. The goal is to have a complete, useful result ready when the user returns.
+    3. If you encounter ambiguity or an unexpected situation during execution, choose the most reasonable option, note your choice, and keep going.
+    4. Mark tasks as completed as you finish them.
+    5. Continue working, thinking and calling tools until you have the research result for the user.
+
+    ## General Instructions
+
+    - You must check the current mode after any user input, since the user may have changed the mode themselves,
+      e.g. the user may have switched to 'plan' mode after a previous research task finished in 'execute' mode, meaning they want to review a plan first before execution.
+    - Explain your reasoning and thought process as you work through tasks.
+    - 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.
+    - Avoid making more than 4 tool calls in a row without explaining what you are doing.
+    - Do not answer the underlying question before the plan has been presented and approved.
+    - This rule applies even when the answer seems obvious or the task seems small.
+    - For short requests, use a brief micro-plan rather than skipping planning. The only exceptions are:
+      - greetings,
+      - pure acknowledgments,
+      - clarification questions needed to form the plan,
+      - follow-up questions about results you have already presented,
+      - meta-discussion about the workflow itself.
+
+    **Todo management**
+
+    Mark each todo complete as you finish it so the list stays current.
+    If a todo turns out to be unnecessary or is blocked, remove it and briefly explain why.
+    Once the user finishes with a topic and moves onto a new one, clean up old completed todos by deleting them.
+
+    **Research quality**
 
     Consult multiple sources when possible and cross-reference key claims.
     When sources disagree, note the discrepancy and explain which source you consider more reliable and why.
     If a web page fails to load or a search returns irrelevant results, try alternative search queries or sources before moving on.
     Track your sources — you will need them when presenting results.
 
-    ### Presenting results
+    **Presenting results**
 
     When presenting your final findings:
-    - Use Markdown formatting for clarity.
     - Use clear sections with headings for each major topic or sub-question.
     - Cite your sources inline (e.g., "According to [source name](URL), ...").
     - End with a brief summary of key takeaways.
-    - In addition to returning the results to the user, save the final research report to file memory so it survives compaction and can be referenced later.
+    - Save the final research report to file memory so it survives compaction and can be referenced later.
+
+    **File memory**
+
+    Use the FileMemory_* tools to:
+    - Store downloaded search results or web pages.
+    - Store plans.
+    - Read the current plan to make sure tasks were done according to plan.
+    - Store findings.
+    - 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, in-loop compaction, TodoProvider, AgentModeProvider,
-// FileMemoryProvider, ToolApproval, WebSearch, AgentSkillsProvider, and OpenTelemetry.
-// Only custom instructions, a WebBrowsingTool, and FileAccess opt-out are needed.
+// 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 AIProjectClient(
-        new Uri(endpoint),
+    new OpenAIClient(
         // 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.
-        new DefaultAzureCredential(),
-        new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) })  // Enable retries to improve resiliency.
-    .GetProjectOpenAIClient()
-    .GetResponsesClient()
-    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "ResearchAgent",
-        Description = "A research assistant that plans and executes research tasks.",
-        DisableFileAccess = true,                           // If enabled, this would allow the agent to read/write files in a working directory
-        OpenTelemetrySourceName = TracingSourceName,        // Use our custom source name so spans are captured by the TracerProvider above.
-        FileMemoryStore = new FileSystemAgentFileStore(     // Configure the file memory provider to store files in a local folder called "agent-files".
-            Path.Combine(AppContext.BaseDirectory, "agent-files")),
-        ChatOptions = new ChatOptions
+        new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
+        new OpenAIClientOptions()
         {
-            Instructions = instructions,
-            Tools =
+            Endpoint = new Uri(endpoint),
+            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.
+
+    // Build a ChatClient Pipeline
+    .AsBuilder()
+    .UseFunctionInvocation()                                // We are building our own stack from scratch so we need to include Function Invocation ourselves.
+    .UseMessageInjection()                                  // Allow message injection during the function call loop.
+    .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
+        {
+            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 =
             [
-                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.
+                        new WebBrowsingToolOptions { AllowPublicNetworks = true }),
+                ],
+                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();
 
 // 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 = [
-            new OpenAIResponsesWebSearchDisplayObserver(),
-            .. 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"
     });

dotnet/samples/02-agents/Harness/Harness_Step01_Research/README.md

@@ -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)

dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents/Program.cs

@@ -1,119 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates how to use the BackgroundAgentsProvider to delegate work to background agents.
-// A parent agent is given a list of stock tickers and instructed to find the closing price
-// for each ticker on December 31, 2025. It delegates the web searches to a background agent.
-// The HarnessAgent provides built-in WebSearch (HostedWebSearchTool) so no manual web search
-// tool configuration is needed on the background agent.
-//
-// Special commands:
-//   /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.
-
-using System.ClientModel.Primitives;
-using Azure.AI.Projects;
-using Azure.Identity;
-using Harness.Shared.Console;
-using Microsoft.Agents.AI;
-using Microsoft.Extensions.AI;
-
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";
-
-const int MaxContextWindowTokens = 1_050_000;
-const int MaxOutputTokens = 128_000;
-const string TracingSourceName = "Harness.SubAgents";
-
-// Set up OpenTelemetry tracing that writes spans to a text file.
-using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
-
-// Create the AIProjectClient for communicating with the Foundry responses service.
-var projectClient = new AIProjectClient(
-    new Uri(endpoint),
-    new DefaultAzureCredential(),
-    new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) });
-
-// --- Background agent: Web Search Agent ---
-// This agent uses the HarnessAgent's built-in HostedWebSearchTool to search the web.
-// Features not needed by this sub-agent are disabled.
-AIAgent webSearchAgent =
-    projectClient
-    .GetProjectOpenAIClient()
-    .GetResponsesClient()
-    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "WebSearchAgent",
-        Description = "An agent that can search the web to find information.",
-        OpenTelemetrySourceName = TracingSourceName,
-        DisableTodoProvider = true,
-        DisableAgentModeProvider = true,
-        DisableFileMemory = true,   // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
-        DisableFileAccess = true,   // If enabled, this would allow the agent to read/write files in a working directory
-        DisableToolApproval = true, // If enabled, this allows don't-ask-again approval functionality.
-        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.",
-        },
-    });
-
-// --- Parent agent: Stock Price Researcher ---
-// This agent orchestrates the background agent to look up stock prices in parallel.
-var parentInstructions =
-    """
-    You are a stock price research assistant. You have access to a web search background agent that can look up information on the web.
-
-    When given a list of stock tickers, your job is to find the closing price for each ticker on December 31, 2025.
-
-    ## Workflow
-
-    1. For each ticker, start a background task on the WebSearchAgent asking it to find the closing price on December 31, 2025.
-       - Start all background tasks before waiting for any of them to complete, so they run concurrently.
-    2. Wait for all background tasks to complete.
-    3. Retrieve the results from each background task.
-    4. Present a summary table with the ticker symbol and closing price for each stock.
-    5. Clear all completed tasks to free memory.
-
-    ## Important
-
-    - Always delegate web searches to the WebSearchAgent background agent. Do not try to answer from memory.
-    - If a background task fails or returns unclear results, continue the task with a more specific query.
-    - Present results in a clean markdown table format.
-    """;
-
-// --- Parent agent: Stock Price Researcher ---
-// This agent orchestrates the sub-agent to look up stock prices in parallel.
-// Most features are disabled since the parent only needs SubAgentsProvider.
-AIAgent parentAgent =
-    projectClient
-    .GetProjectOpenAIClient()
-    .GetResponsesClient()
-    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "StockPriceResearcher",
-        Description = "An agent that researches stock prices using background agents.",
-        OpenTelemetrySourceName = TracingSourceName,
-        DisableTodoProvider = true,
-        DisableAgentModeProvider = true,
-        DisableFileMemory = true,   // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
-        DisableFileAccess = true,   // If enabled, this would allow the agent to read/write files in a working directory
-        DisableToolApproval = true, // If enabled, this allows don't-ask-again approval functionality.
-        DisableWebSearch = true,
-        AIContextProviders =
-        [
-            new BackgroundAgentsProvider([webSearchAgent]),
-        ],
-        ChatOptions = new ChatOptions
-        {
-            Instructions = parentInstructions,
-            MaxOutputTokens = 16_000,
-        },
-    });
-
-// Run the interactive console session.
-await HarnessConsole.RunAgentAsync(
-    parentAgent,
-    userPrompt: "Enter a list of stock tickers (e.g., BAC, MSFT, BA):");

dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithSubAgents/Harness_Step02_Research_WithSubAgents.csproj

@@ -13,8 +13,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-    <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>
 

dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithSubAgents/Program.cs

@@ -0,0 +1,106 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use the SubAgentsProvider to delegate work to sub-agents.
+// A parent agent is given a list of stock tickers and instructed to find the closing price
+// for each ticker on December 31, 2025. It delegates the web searches to a sub-agent
+// equipped with Foundry's hosted web search tool.
+//
+// Special commands:
+//   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.
+
+using System.ClientModel.Primitives;
+using Azure.Identity;
+using Harness.Shared.Console;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using OpenAI;
+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";
+
+// --- 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 =
+    new OpenAIClient(
+        new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
+        new OpenAIClientOptions()
+        {
+            Endpoint = new Uri(endpoint),
+            RetryPolicy = new ClientRetryPolicy(3)
+        })
+    .GetResponsesClient()
+    .AsIChatClientWithStoredOutputDisabled(deploymentName)
+    .AsAIAgent(
+        new ChatClientAgentOptions
+        {
+            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.
+var parentInstructions =
+    """
+    You are a stock price research assistant. You have access to a web search sub-agent that can look up information on the web.
+
+    When given a list of stock tickers, your job is to find the closing price for each ticker on December 31, 2025.
+
+    ## Workflow
+
+    1. For each ticker, start a sub-task on the WebSearchAgent asking it to find the closing price on December 31, 2025.
+       - Start all sub-tasks before waiting for any of them to complete, so they run concurrently.
+    2. Wait for all sub-tasks to complete.
+    3. Retrieve the results from each sub-task.
+    4. Present a summary table with the ticker symbol and closing price for each stock.
+    5. Clear all completed tasks to free memory.
+
+    ## Important
+
+    - Always delegate web searches to the WebSearchAgent sub-agent. Do not try to answer from memory.
+    - If a sub-task fails or returns unclear results, continue the task with a more specific query.
+    - Present results in a clean markdown table format.
+    """;
+
+AIAgent parentAgent =
+    new OpenAIClient(
+        new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
+        new OpenAIClientOptions()
+        {
+            Endpoint = new Uri(endpoint),
+            RetryPolicy = new ClientRetryPolicy(3)
+        })
+    .GetResponsesClient()
+    .AsIChatClientWithStoredOutputDisabled(deploymentName)
+    .AsAIAgent(
+        new ChatClientAgentOptions
+        {
+            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):");

dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithSubAgents/README.md

@@ -1,24 +1,24 @@
-# Harness Step 02 — BackgroundAgents (Stock Price Research)
+# Harness Step 02 — SubAgents (Stock Price Research)
 
-This sample demonstrates how to use the **BackgroundAgentsProvider** to delegate work from a parent agent to background 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
 
-A parent agent receives a list of stock tickers and uses a web-search background agent to find the closing price for each ticker on December 31, 2025. The background tasks run concurrently, and results are presented in a summary table.
+A parent agent receives a list of stock tickers and uses a web-search sub-agent to find the closing price for each ticker on December 31, 2025. The sub-tasks run concurrently, and results are presented in a summary table.
 
 ### Architecture
 
 ```
-┌────────────────────────────────────────┐
-│     StockPriceResearcher               │
-│         (Parent Agent)                 │
-│                                        │
-│  BackgroundAgentsProvider              │
-│    ├─ BackgroundAgents_StartTask       │
-│    ├─ BackgroundAgents_WaitFor...      │
-│    ├─ BackgroundAgents_GetTaskResults  │
-│    └─ ...                              │
-└────────────┬───────────────────────────┘
+┌─────────────────────────────────┐
+│     StockPriceResearcher        │
+│         (Parent Agent)          │
+│                                 │
+│  SubAgentsProvider              │
+│    ├─ SubAgents_StartTask       │
+│    ├─ SubAgents_WaitFor...      │
+│    ├─ SubAgents_GetTaskResults  │
+│    └─ ...                       │
+└────────────┬────────────────────┘
              │  delegates to
              ▼
 ┌─────────────────────────────────┐
@@ -40,7 +40,7 @@ A parent agent receives a list of stock tickers and uses a web-search background
 ## Running the Sample
 
 ```bash
-cd dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents
+cd dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithSubAgents
 dotnet run
 ```
 
@@ -50,4 +50,4 @@ When prompted, enter a list of stock tickers such as:
 BAC, MSFT, BA
 ```
 
-The parent agent will delegate each ticker lookup to the web search background agent concurrently and present the results in a table.
+The parent agent will delegate each ticker lookup to the web search sub-agent concurrently and present the results in a table.

dotnet/samples/02-agents/Harness/Harness_Step03_DataProcessing/Harness_Step03_DataProcessing.csproj

@@ -13,13 +13,12 @@
   </ItemGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-    <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>
 
   <ItemGroup>
-    <Content Include="working\**\*" CopyToOutputDirectory="PreserveNewest" />
+    <Content Include="data\**\*" CopyToOutputDirectory="PreserveNewest" />
   </ItemGroup>
 
 </Project>

dotnet/samples/02-agents/Harness/Harness_Step03_DataProcessing/Program.cs

@@ -1,36 +1,36 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-// This sample demonstrates how to use a HarnessAgent with the default 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.
 //
-// The sample includes a pre-populated `working/` folder with sales transaction data.
-// The HarnessAgent's default FileAccessProvider uses `{cwd}/working` as its working directory,
-// which matches this sample's folder layout.
+// The sample includes a pre-populated `data/` folder with sales transaction data.
 // 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.
 
 using System.ClientModel.Primitives;
-using Azure.AI.Projects;
 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;
 
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+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;
-const string TracingSourceName = "Harness.DataProcessing";
 
-// Set up OpenTelemetry tracing that writes spans to a text file.
-using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
+// Point the file store at the data/ folder that ships with the sample.
+var dataFolder = Path.Combine(AppContext.BaseDirectory, "data");
+var fileStore = new FileSystemAgentFileStore(dataFolder);
 
 var instructions =
     """
@@ -57,35 +57,54 @@ 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 agent using AsHarnessAgent. The FileAccessStore is explicitly set to the
-// sample's working/ folder (copied to the output directory) so it works regardless of cwd.
-// Unused features are disabled.
+// Create a compaction strategy based on the model's context window.
+var compactionStrategy = new ContextWindowCompactionStrategy(
+    maxContextWindowTokens: MaxContextWindowTokens,
+    maxOutputTokens: MaxOutputTokens);
+
 AIAgent agent =
-    new AIProjectClient(
-        new Uri(endpoint),
-        new DefaultAzureCredential(),
-        new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) })
-    .GetProjectOpenAIClient()
-    .GetResponsesClient()
-    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "DataAnalyst",
-        Description = "A data analyst assistant that reads, analyzes, and processes data files.",
-        OpenTelemetrySourceName = TracingSourceName,
-        FileAccessStore = new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "working")),
-        DisableTodoProvider = true,
-        DisableAgentModeProvider = true,
-        DisableFileMemory = true,   // If enabled, this would allow the agent to store memories as files in a directory associated with the current session
-        DisableWebSearch = true,
-        ChatOptions = new ChatOptions
+    new OpenAIClient(
+        new BearerTokenPolicy(new DefaultAzureCredential(), "https://ai.azure.com/.default"),
+        new OpenAIClientOptions()
         {
-            Instructions = instructions,
-            MaxOutputTokens = MaxOutputTokens,
-        },
-    });
+            Endpoint = new Uri(endpoint),
+            RetryPolicy = new ClientRetryPolicy(3)
+        })
+    .GetResponsesClient()
+    .AsIChatClientWithStoredOutputDisabled(deploymentName)
+
+    .AsBuilder()
+    .UseFunctionInvocation()
+    .UsePerServiceCallChatHistoryPersistence()
+    .UseAIContextProviders(new CompactionProvider(compactionStrategy))
+
+    .BuildAIAgent(
+        new ChatClientAgentOptions
+        {
+            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.");

dotnet/samples/02-agents/Harness/Harness_Step03_DataProcessing/README.md

@@ -1,11 +1,10 @@
 # What this sample demonstrates
 
-This sample demonstrates how to use a `HarnessAgent` with the default `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, in-loop compaction, tool approval, and OpenTelemetry — so the sample only needs to supply the chat client, token limits, custom instructions, and opt out of unused features.
+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** — the HarnessAgent's default file access provider uses `{cwd}/working` as its working directory, matching this sample's `working/` folder
+- **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
 - **Streaming output** — responses are streamed token-by-token for a natural experience
@@ -39,7 +38,7 @@ dotnet run --project samples/02-agents/Harness/Harness_Step03_DataProcessing
 
 ## What to Expect
 
-The sample starts an interactive conversation with a data analyst agent. The `working/` folder contains a `sales.csv` file with ~50 rows of sales transaction data (date, product, category, quantity, unit price, region, salesperson).
+The sample starts an interactive conversation with a data analyst agent. The `data/` folder contains a `sales.csv` file with ~50 rows of sales transaction data (date, product, category, quantity, unit price, region, salesperson).
 
 You can ask the agent to:
 
@@ -53,7 +52,7 @@ E.g. try the following prompt `Please process the sales.csv file by first filter
 
 ## Sample Data
 
-The included `working/sales.csv` contains sales transactions from January to March 2025 with the following columns:
+The included `data/sales.csv` contains sales transactions from January to March 2025 with the following columns:
 
 | Column | Description |
 | --- | --- |

dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/Harness_Step04_CodeExecution.csproj

@@ -1,29 +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="Hyperlight.HyperlightSandbox.Guest.Python" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Harness\Microsoft.Agents.AI.Harness.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hyperlight\Microsoft.Agents.AI.Hyperlight.csproj" />
-    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
-    <ProjectReference Include="..\Harness_Shared_Console\Harness_Shared_Console.csproj" />
-  </ItemGroup>
-
-  <ItemGroup>
-    <Content Include="skills\**\*" CopyToOutputDirectory="PreserveNewest" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/Program.cs

@@ -1,122 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// This sample demonstrates a HarnessAgent with ALL features enabled, plus:
-// - Hyperlight CodeAct (HyperlightCodeActProvider) for sandboxed Python code execution
-// - Skills (AgentSkillsProvider) discovering a local "regex-tester" skill
-//
-// The agent can plan tasks with todos, manage modes, store memories, read/write files,
-// search the web, approve sensitive tools, discover and use skills, and execute arbitrary
-// Python code in a Hyperlight sandbox — all pre-configured by the HarnessAgent.
-//
-// Try asking: "Help me write a regex that matches valid email addresses, then test it."
-//
-// Special commands:
-//   /todos  — Display the current todo list without invoking the agent.
-//   /mode   — Get or set the current agent mode.
-//   /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.
-
-using System.ClientModel.Primitives;
-using Azure.AI.Projects;
-using Azure.Identity;
-using Harness.Shared.Console;
-using HyperlightSandbox.Guest.Python;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Hyperlight;
-using Microsoft.Extensions.AI;
-
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4";
-
-const int MaxContextWindowTokens = 1_050_000;
-const int MaxOutputTokens = 128_000;
-const string TracingSourceName = "Harness.CodeExecution";
-
-// Set up OpenTelemetry tracing that writes spans to a text file.
-using var tracerProvider = HarnessTracing.CreateFileTracerProvider(TracingSourceName);
-
-// Create the HyperlightCodeActProvider with the Python/Wasm backend.
-// The guest module path is resolved automatically from the Hyperlight.HyperlightSandbox.Guest.Python NuGet package.
-using var codeAct = new HyperlightCodeActProvider(
-    HyperlightCodeActProviderOptions.CreateForWasm(PythonGuestModule.GetModulePath()));
-
-var instructions =
-    """
-    ## Technical Assistant Instructions
-
-    You are a code-powered technical assistant. You can execute Python code in a sandboxed environment
-    to solve problems precisely rather than guessing. You also have access to skills that provide
-    structured workflows for specific technical tasks.
-
-    ### Code Execution
-
-    When a problem requires computation, validation, or testing:
-    - Write Python code and use `execute_code` to run it in the sandbox.
-    - Always verify results by running the code rather than reasoning about what would happen.
-    - If code fails, read the error message carefully, fix the issue, and retry.
-
-    ### Skills
-
-    You have access to discoverable skills. When a task matches a skill's description:
-    - Follow the skill's instructions carefully.
-    - Use the skill's reference materials for context.
-    - Combine the skill's workflow with code execution when appropriate.
-
-    ### Planning and Research
-
-    For complex tasks:
-    - Break the problem into steps using your todo list.
-    - Research background information using web search when needed.
-    - Save important findings to file memory for later reference.
-
-    ### Presenting Results
-
-    - Show your work: include the code you ran and its output.
-    - Explain what each part of your solution does.
-    - If applicable, save final results to file memory.
-    """;
-
-// Create the agent with ALL HarnessAgent features enabled plus Hyperlight CodeAct.
-// No Disable* flags are set — TodoProvider, AgentModeProvider, FileMemory, FileAccess,
-// ToolApproval, WebSearch, and AgentSkillsProvider are all active.
-AIAgent agent =
-    new AIProjectClient(
-        new Uri(endpoint),
-        new DefaultAzureCredential(),
-        new AIProjectClientOptions { RetryPolicy = new ClientRetryPolicy(3) })
-    .GetProjectOpenAIClient()
-    .GetResponsesClient()
-    .AsIChatClient(deploymentName)
-    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
-    {
-        Name = "CodeExecutionAgent",
-        Description = "A technical assistant with sandboxed code execution and skill-based workflows.",
-        OpenTelemetrySourceName = TracingSourceName,
-        // Point the file memory at a local folder for persistent memory across sessions.
-        FileMemoryStore = new FileSystemAgentFileStore(Path.Combine(AppContext.BaseDirectory, "agent-files")),
-        // Add the HyperlightCodeActProvider so the agent can execute Python code in a sandbox.
-        AIContextProviders = [codeAct],
-        ChatOptions = new ChatOptions
-        {
-            Instructions = instructions,
-            MaxOutputTokens = MaxOutputTokens,
-            Reasoning = new() { Effort = ReasoningEffort.Medium },
-        },
-    });
-
-// Run the interactive console session using the shared HarnessConsole helper.
-await HarnessConsole.RunAgentAsync(
-    agent,
-    userPrompt: "Ask me a technical question, or try: \"Help me write a regex that matches valid email addresses.\"",
-    new HarnessConsoleOptions
-    {
-        Observers = HarnessConsoleOptions.BuildObserversWithPlanning(
-            agent,
-            planModeName: "plan",
-            executionModeName: "execute",
-            maxContextWindowTokens: MaxContextWindowTokens,
-            maxOutputTokens: MaxOutputTokens),
-        CommandHandlers = HarnessConsoleOptions.BuildDefaultCommandHandlers(agent),
-    });

dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/README.md

@@ -1,51 +0,0 @@
-# Harness Step 04 — Code Execution (Hyperlight + Skills)
-
-This sample demonstrates a HarnessAgent with **all features enabled**, plus:
-
-- **Hyperlight CodeAct** — sandboxed Python code execution via `execute_code` (requires KVM)
-- **Skills** — file-based skill discovery (a `regex-tester` skill is included)
-
-The agent can plan tasks, manage modes, store memories, read/write files, search the web, approve sensitive operations, discover and use skills, and execute arbitrary Python code — all pre-configured by the HarnessAgent.
-
-## Prerequisites
-
-- .NET 10 SDK
-- An Azure AI Foundry project endpoint
-- KVM-capable host (the Hyperlight sandbox runs code in micro-VMs)
-
-## Environment Variables
-
-| Variable | Description |
-|----------|-------------|
-| `AZURE_AI_PROJECT_ENDPOINT` | Your Azure AI Foundry project endpoint |
-| `AZURE_AI_MODEL_DEPLOYMENT_NAME` | Model deployment name (default: `gpt-5.4`) |
-
-## Running
-
-```bash
-dotnet run
-```
-
-## What to Try
-
-- **Regex testing**: "Help me write a regex that matches valid email addresses, then test it against some examples."
-- **Code execution**: "Calculate the first 20 prime numbers using the Sieve of Eratosthenes."
-- **Skill + code combo**: "I need a regex for ISO 8601 dates — test it thoroughly with edge cases."
-
-## Included Skill
-
-The `skills/regex-tester/` skill instructs the agent to validate regex patterns by executing Python test code in the Hyperlight sandbox. It includes a regex cheatsheet as reference material.
-
-## Features Enabled
-
-| Feature | Description |
-|---------|-------------|
-| TodoProvider | Task planning and tracking (`/todos` command) |
-| AgentModeProvider | Mode switching (`/mode` command) |
-| FileMemoryProvider | Persistent memory stored as files |
-| FileAccessProvider | Read/write files in a working directory |
-| ToolApproval | Don't-ask-again approval for sensitive tools |
-| WebSearch | Built-in hosted web search |
-| AgentSkillsProvider | Discovers and uses skills from the `skills/` folder |
-| HyperlightCodeActProvider | Sandboxed Python execution via `execute_code` |
-| OpenTelemetry | Trace logging to a text file |

dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/skills/regex-tester/SKILL.md

@@ -1,36 +0,0 @@
----
-name: regex-tester
-description: Validate, test, and debug regular expressions by executing them against sample inputs. Use when asked to build, verify, or explain a regex pattern.
----
-
-## Usage
-
-When the user asks you to create, validate, or debug a regular expression:
-
-1. **Understand the requirement** — clarify what the pattern should match and what it should reject.
-2. **Consult the cheatsheet** — review `references/regex-cheatsheet.md` for syntax reminders if needed.
-3. **Write and execute test code** — use the `execute_code` tool to run Python code that:
-   - Compiles the regex with `re.compile()`
-   - Tests it against a set of positive examples (should match) and negative examples (should not match)
-   - Extracts and displays any capturing groups
-   - Reports pass/fail for each test case
-4. **Iterate** — if any test fails, refine the pattern and re-run until all cases pass.
-5. **Present the result** — give the user the final pattern, explain what each part does, and show the test results.
-
-## Example Test Script
-
-```python
-import re
-
-pattern = re.compile(r'^[\w.+-]+@[\w-]+\.[\w.-]+$')
-
-positives = ["user@example.com", "first.last+tag@sub.domain.org"]
-negatives = ["@missing.com", "no-at-sign", "spaces in@address.com"]
-
-for s in positives:
-    assert pattern.match(s), f"FAIL: expected match for '{s}'"
-for s in negatives:
-    assert not pattern.match(s), f"FAIL: expected no match for '{s}'"
-
-print("All tests passed!")
-```

dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/skills/regex-tester/references/regex-cheatsheet.md

@@ -1,97 +0,0 @@
-# Regex Quick Reference (Python `re` module)
-
-## Character Classes
-
-| Pattern | Matches |
-|---------|---------|
-| `.`     | Any character except newline |
-| `\d`    | Digit `[0-9]` |
-| `\D`    | Non-digit |
-| `\w`    | Word character `[a-zA-Z0-9_]` |
-| `\W`    | Non-word character |
-| `\s`    | Whitespace `[ \t\n\r\f\v]` |
-| `\S`    | Non-whitespace |
-| `[abc]` | Any of a, b, or c |
-| `[^abc]`| Any character except a, b, c |
-| `[a-z]` | Range: a through z |
-
-## Quantifiers
-
-| Pattern | Meaning |
-|---------|---------|
-| `*`     | 0 or more (greedy) |
-| `+`     | 1 or more (greedy) |
-| `?`     | 0 or 1 (greedy) |
-| `{n}`   | Exactly n |
-| `{n,}`  | n or more |
-| `{n,m}` | Between n and m |
-| `*?`, `+?`, `??` | Non-greedy versions |
-
-## Anchors
-
-| Pattern | Meaning |
-|---------|---------|
-| `^`     | Start of string (or line with `re.MULTILINE`) |
-| `$`     | End of string (or line with `re.MULTILINE`) |
-| `\b`    | Word boundary |
-| `\B`    | Non-word boundary |
-
-## Groups and Backreferences
-
-| Pattern | Meaning |
-|---------|---------|
-| `(...)` | Capturing group |
-| `(?:...)`| Non-capturing group |
-| `(?P<name>...)` | Named group |
-| `\1`    | Backreference to group 1 |
-| `(?=...)` | Positive lookahead |
-| `(?!...)` | Negative lookahead |
-| `(?<=...)` | Positive lookbehind |
-| `(?<!...)` | Negative lookbehind |
-
-## Flags
-
-| Flag | Effect |
-|------|--------|
-| `re.IGNORECASE` / `re.I` | Case-insensitive matching |
-| `re.MULTILINE` / `re.M`  | `^`/`$` match line boundaries |
-| `re.DOTALL` / `re.S`     | `.` matches newline |
-| `re.VERBOSE` / `re.X`    | Allow comments and whitespace |
-
-## Common Patterns
-
-| Use Case | Pattern |
-|----------|---------|
-| Email (simple) | `^[\w.+-]+@[\w-]+\.[\w.-]+$` |
-| IPv4 address | `^\d{1,3}(\.\d{1,3}){3}$` |
-| ISO date | `^\d{4}-\d{2}-\d{2}$` |
-| URL (http/https) | `^https?://[^\s/$.?#].[^\s]*$` |
-| Phone (US) | `^(\+1)?[-.\s]?\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}$` |
-
-## Python API
-
-```python
-import re
-
-# Test if a string matches
-re.match(r'pattern', "string")       # match at start
-re.search(r'pattern', "string")      # match anywhere
-re.fullmatch(r'pattern', "string")   # match entire string
-
-# Find all matches
-re.findall(r'\d+', "abc 123 def 456")  # ['123', '456']
-
-# Named groups
-m = re.match(r'(?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})', "2025-01-15")
-m.group('year')   # '2025'
-
-# Replace
-re.sub(r'\d+', 'X', "abc 123 def")   # 'abc X def'
-
-# Split
-re.split(r',+', "a,b,,c")            # ['a', 'b', 'c']
-
-# Compile for reuse
-pattern = re.compile(r'^\d{4}-\d{2}-\d{2}$')
-pattern.match("2025-01-15")           # Match object
-```

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

@@ -7,5 +7,5 @@ Samples demonstrating the [Harness AIContextProviders](../../../src/Microsoft.Ag
 | Sample | Description |
 | --- | --- |
 | [Harness_Step01_Research](./Harness_Step01_Research/README.md) | Using a ChatClientAgent with TodoProvider and AgentModeProvider for research, showcasing planning mode and todo management |
-| [Harness_Step02_Research_WithBackgroundAgents](./Harness_Step02_Research_WithBackgroundAgents/README.md) | Using BackgroundAgentsProvider to delegate stock price lookups to a web-search background agent concurrently |
+| [Harness_Step02_Research_WithSubAgents](./Harness_Step02_Research_WithSubAgents/README.md) | Using SubAgentsProvider to delegate stock price lookups to a web-search sub-agent concurrently |
 | [Harness_Step03_DataProcessing](./Harness_Step03_DataProcessing/README.md) | Using FileAccessProvider to give an agent access to CSV data files for reading, analysis, and output generation |

dotnet/samples/03-workflows/Declarative/InvokeFoundryToolboxMcp/InvokeFoundryToolboxMcp.csproj

@@ -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>

dotnet/samples/03-workflows/Declarative/InvokeFoundryToolboxMcp/InvokeFoundryToolboxMcp.yaml

@@ -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

dotnet/samples/03-workflows/Declarative/InvokeFoundryToolboxMcp/Program.cs

@@ -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);
-        }
-    }
-}

dotnet/samples/03-workflows/Evaluation/Evaluation_WorkflowExpectedOutputs/Evaluation_WorkflowExpectedOutputs.csproj

@@ -1,16 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-
-    <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" />
-  </ItemGroup>
-
-</Project>

dotnet/samples/03-workflows/Evaluation/Evaluation_WorkflowExpectedOutputs/Program.cs

@@ -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}");
-}

dotnet/samples/03-workflows/Evaluation/Evaluation_WorkflowExpectedOutputs/README.md

@@ -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
-```

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/HostedAzureSearchRag.csproj

@@ -11,7 +11,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.AI.Projects" VersionOverride="2.1.0-beta.1" />
     <PackageReference Include="Azure.Identity" />
     <PackageReference Include="Azure.Search.Documents" />
     <PackageReference Include="DotNetEnv" />
@@ -22,7 +22,6 @@
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
   </ItemGroup>
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above

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

@@ -14,7 +14,6 @@ using Azure.Identity;
 using Azure.Search.Documents;
 using Azure.Search.Documents.Models;
 using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry.Hosting;
 using Microsoft.Extensions.AI;
@@ -67,15 +66,14 @@ AIAgent agent = new AIProjectClient(new Uri(projectEndpoint), credential)
 // Host the agent as a Foundry Hosted Agent using the Responses API.
 var builder = WebApplication.CreateBuilder(args);
 builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
 
 var app = builder.Build();
 app.MapFoundryResponses();
 
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
+if (app.Environment.IsDevelopment())
+{
+    app.MapFoundryResponses("openai/v1");
+}
 
 app.Run();
 

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/HostedChatClientAgent.csproj

@@ -18,7 +18,6 @@
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
   </ItemGroup>
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above

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

@@ -4,7 +4,6 @@ using Azure.AI.Projects;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry.Hosting;
 
@@ -41,14 +40,59 @@ AIAgent agent = new AIProjectClient(projectEndpoint, credential)
 // Host the agent as a Foundry Hosted Agent using the Responses API.
 var builder = WebApplication.CreateBuilder(args);
 builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
 
 var app = builder.Build();
 app.MapFoundryResponses();
 
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
+// In Development, also map the OpenAI-compatible route that AIProjectClient uses.
+if (app.Environment.IsDevelopment())
+{
+    app.MapFoundryResponses("openai/v1");
+}
 
 app.Run();
+
+/// <summary>
+/// A <see cref="TokenCredential"/> for local Docker debugging only.
+///
+/// When debugging and testing a hosted agent in a local Docker container, Azure CLI
+/// and other interactive credentials are not available. This credential reads a
+/// pre-fetched bearer token from the <c>AZURE_BEARER_TOKEN</c> environment variable.
+///
+/// This should NOT be used in production — tokens expire (~1 hour) and cannot be refreshed.
+/// In production, the Foundry platform injects a managed identity automatically.
+///
+/// Generate a token on your host and pass it to the container:
+///   export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
+///   docker run -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN ...
+/// </summary>
+internal sealed class DevTemporaryTokenCredential : TokenCredential
+{
+    private const string EnvironmentVariable = "AZURE_BEARER_TOKEN";
+    private readonly string? _token;
+
+    public DevTemporaryTokenCredential()
+    {
+        this._token = Environment.GetEnvironmentVariable(EnvironmentVariable);
+    }
+
+    public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
+    {
+        return this.GetAccessToken();
+    }
+
+    public override ValueTask<AccessToken> GetTokenAsync(TokenRequestContext requestContext, CancellationToken cancellationToken)
+    {
+        return new ValueTask<AccessToken>(this.GetAccessToken());
+    }
+
+    private AccessToken GetAccessToken()
+    {
+        if (string.IsNullOrEmpty(this._token) || this._token == "DefaultAzureCredential")
+        {
+            throw new CredentialUnavailableException($"{EnvironmentVariable} environment variable is not set.");
+        }
+
+        return new AccessToken(this._token, DateTimeOffset.UtcNow.AddHours(1));
+    }
+}

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/HostedFiles.csproj

@@ -1,4 +1,4 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
+<Project Sdk="Microsoft.NET.Sdk.Web">
 
   <PropertyGroup>
     <TargetFrameworks>net10.0</TargetFrameworks>
@@ -11,7 +11,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.AI.Projects" VersionOverride="2.1.0-beta.1" />
     <PackageReference Include="Azure.Identity" />
     <PackageReference Include="DotNetEnv" />
   </ItemGroup>
@@ -28,7 +28,6 @@
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
   </ItemGroup>
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above

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

@@ -35,7 +35,6 @@ using Azure.AI.Projects;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry.Hosting;
 using Microsoft.Extensions.AI;
@@ -176,15 +175,14 @@ AIAgent agent = new AIProjectClient(new Uri(endpoint), credential)
 
 var builder = WebApplication.CreateBuilder(args);
 builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
 
 var app = builder.Build();
 app.MapFoundryResponses();
 
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
+if (app.Environment.IsDevelopment())
+{
+    app.MapFoundryResponses("openai/v1");
+}
 
 app.Run();
 

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/HostedFoundryAgent.csproj

@@ -18,7 +18,6 @@
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
   </ItemGroup>
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above

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

@@ -5,7 +5,6 @@ using Azure.AI.Projects.Agents;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
 using Microsoft.Agents.AI.Foundry;
 using Microsoft.Agents.AI.Foundry.Hosting;
 
@@ -34,14 +33,59 @@ FoundryAgent agent = aiProjectClient.AsAIAgent(agentRecord);
 // Host the agent as a Foundry Hosted Agent using the Responses API.
 var builder = WebApplication.CreateBuilder(args);
 builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
 
 var app = builder.Build();
 app.MapFoundryResponses();
 
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
+// In Development, also map the OpenAI-compatible route that AIProjectClient uses.
+if (app.Environment.IsDevelopment())
+{
+    app.MapFoundryResponses("openai/v1");
+}
 
 app.Run();
+
+/// <summary>
+/// A <see cref="TokenCredential"/> for local Docker debugging only.
+///
+/// When debugging and testing a hosted agent in a local Docker container, Azure CLI
+/// and other interactive credentials are not available. This credential reads a
+/// pre-fetched bearer token from the <c>AZURE_BEARER_TOKEN</c> environment variable.
+///
+/// This should NOT be used in production — tokens expire (~1 hour) and cannot be refreshed.
+/// In production, the Foundry platform injects a managed identity automatically.
+///
+/// Generate a token on your host and pass it to the container:
+///   export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
+///   docker run -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN ...
+/// </summary>
+internal sealed class DevTemporaryTokenCredential : TokenCredential
+{
+    private const string EnvironmentVariable = "AZURE_BEARER_TOKEN";
+    private readonly string? _token;
+
+    public DevTemporaryTokenCredential()
+    {
+        this._token = Environment.GetEnvironmentVariable(EnvironmentVariable);
+    }
+
+    public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
+    {
+        return this.GetAccessToken();
+    }
+
+    public override ValueTask<AccessToken> GetTokenAsync(TokenRequestContext requestContext, CancellationToken cancellationToken)
+    {
+        return new ValueTask<AccessToken>(this.GetAccessToken());
+    }
+
+    private AccessToken GetAccessToken()
+    {
+        if (string.IsNullOrEmpty(this._token) || this._token == "DefaultAzureCredential")
+        {
+            throw new CredentialUnavailableException($"{EnvironmentVariable} environment variable is not set.");
+        }
+
+        return new AccessToken(this._token, DateTimeOffset.UtcNow.AddHours(1));
+    }
+}

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/HostedLocalTools.csproj

@@ -20,7 +20,6 @@
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
   </ItemGroup>
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above

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

@@ -11,7 +11,6 @@ using Azure.AI.Projects;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry.Hosting;
 using Microsoft.Extensions.AI;
@@ -113,18 +112,53 @@ AIAgent agent = new AIProjectClient(new Uri(endpoint), credential)
 
 var builder = WebApplication.CreateBuilder(args);
 builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
 
 var app = builder.Build();
 app.MapFoundryResponses();
 
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
+if (app.Environment.IsDevelopment())
+{
+    app.MapFoundryResponses("openai/v1");
+}
 
 app.Run();
 
 // ── Types ────────────────────────────────────────────────────────────────────
 
 internal sealed record Hotel(string Name, int PricePerNight, double Rating, string Location);
+
+/// <summary>
+/// A <see cref="TokenCredential"/> for local Docker debugging only.
+/// Reads a pre-fetched bearer token from the <c>AZURE_BEARER_TOKEN</c> environment variable
+/// once at startup. This should NOT be used in production.
+///
+/// Generate a token on your host and pass it to the container:
+///   export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
+///   docker run -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN ...
+/// </summary>
+internal sealed class DevTemporaryTokenCredential : TokenCredential
+{
+    private const string EnvironmentVariable = "AZURE_BEARER_TOKEN";
+    private readonly string? _token;
+
+    public DevTemporaryTokenCredential()
+    {
+        this._token = Environment.GetEnvironmentVariable(EnvironmentVariable);
+    }
+
+    public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
+        => this.GetAccessToken();
+
+    public override ValueTask<AccessToken> GetTokenAsync(TokenRequestContext requestContext, CancellationToken cancellationToken)
+        => new(this.GetAccessToken());
+
+    private AccessToken GetAccessToken()
+    {
+        if (string.IsNullOrEmpty(this._token) || this._token == "DefaultAzureCredential")
+        {
+            throw new CredentialUnavailableException($"{EnvironmentVariable} environment variable is not set.");
+        }
+
+        return new AccessToken(this._token, DateTimeOffset.UtcNow.AddHours(1));
+    }
+}

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

@@ -21,7 +21,6 @@
   <ItemGroup>
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
     <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
   </ItemGroup>
 
   <!-- For end-users: uncomment the PackageReference below and remove the ProjectReference above

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

@@ -19,7 +19,6 @@ using Azure.AI.Projects;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry.Hosting;
 using Microsoft.Extensions.AI;
@@ -82,14 +81,50 @@ AIAgent agent = new AIProjectClient(projectEndpoint, credential)
 // Host the agent as a Foundry Hosted Agent using the Responses API.
 var builder = WebApplication.CreateBuilder(args);
 builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
 
 var app = builder.Build();
 app.MapFoundryResponses();
 
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
+// In Development, also map the OpenAI-compatible route that AIProjectClient uses.
+if (app.Environment.IsDevelopment())
+{
+    app.MapFoundryResponses("openai/v1");
+}
 
 app.Run();
+
+/// <summary>
+/// A <see cref="TokenCredential"/> for local Docker debugging only.
+/// Reads a pre-fetched bearer token from the <c>AZURE_BEARER_TOKEN</c> environment variable
+/// once at startup. This should NOT be used in production.
+///
+/// Generate a token on your host and pass it to the container:
+///   export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
+///   docker run -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN ...
+/// </summary>
+internal sealed class DevTemporaryTokenCredential : TokenCredential
+{
+    private const string EnvironmentVariable = "AZURE_BEARER_TOKEN";
+    private readonly string? _token;
+
+    public DevTemporaryTokenCredential()
+    {
+        this._token = Environment.GetEnvironmentVariable(EnvironmentVariable);
+    }
+
+    public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
+        => this.GetAccessToken();
+
+    public override ValueTask<AccessToken> GetTokenAsync(TokenRequestContext requestContext, CancellationToken cancellationToken)
+        => new(this.GetAccessToken());
+
+    private AccessToken GetAccessToken()
+    {
+        if (string.IsNullOrEmpty(this._token) || this._token == "DefaultAzureCredential")
+        {
+            throw new CredentialUnavailableException($"{EnvironmentVariable} environment variable is not set.");
+        }
+
+        return new AccessToken(this._token, DateTimeOffset.UtcNow.AddHours(1));
+    }
+}

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

@@ -1,12 +0,0 @@
-AZURE_AI_PROJECT_ENDPOINT=<your-azure-ai-project-endpoint>
-ASPNETCORE_URLS=http://+:8088
-ASPNETCORE_ENVIRONMENT=Development
-AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
-AZURE_AI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-ada-002
-AZURE_AI_MEMORY_STORE_ID=hosted-memory-sample
-AGENT_NAME=hosted-memory-agent
-AZURE_BEARER_TOKEN=DefaultAzureCredential
-# When running outside the Foundry platform the platform-injected isolation keys are absent.
-# These two variables provide fallback values for local Docker debugging only.
-HOSTED_USER_ISOLATION_KEY=local-dev-user
-HOSTED_CHAT_ISOLATION_KEY=local-dev-chat

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

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

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

@@ -1,23 +0,0 @@
-# Dockerfile for contributors building from the agent-framework repository source.
-#
-# This project uses ProjectReference to the local Microsoft.Agents.AI.Foundry source,
-# which means a standard multi-stage Docker build cannot resolve dependencies outside
-# this folder. Instead, pre-publish the app targeting the container runtime and copy
-# the output into the container:
-#
-#   dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
-#   docker build -f Dockerfile.contributor -t hosted-memory-agent .
-#   docker run --rm -p 8088:8088 \
-#     -e AGENT_NAME=hosted-memory-agent \
-#     -e HOSTED_USER_ISOLATION_KEY=alice \
-#     -e HOSTED_CHAT_ISOLATION_KEY=alice-chat-1 \
-#     --env-file .env hosted-memory-agent
-#
-# For end-users consuming the NuGet package (not ProjectReference), use the standard
-# Dockerfile which performs a full dotnet restore + publish inside the container.
-FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
-WORKDIR /app
-COPY out/ .
-EXPOSE 8088
-ENV ASPNETCORE_URLS=http://+:8088
-ENTRYPOINT ["dotnet", "HostedMemoryAgent.dll"]

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/HostedMemoryAgent.csproj

@@ -1,33 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk.Web">
-
-  <PropertyGroup>
-    <TargetFrameworks>net10.0</TargetFrameworks>
-    <Nullable>enable</Nullable>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <CentralPackageTransitivePinningEnabled>false</CentralPackageTransitivePinningEnabled>
-    <RootNamespace>HostedMemoryAgent</RootNamespace>
-    <AssemblyName>HostedMemoryAgent</AssemblyName>
-    <NoWarn>$(NoWarn);MEAI001;OPENAI001</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Azure.AI.Projects" />
-    <PackageReference Include="Azure.Identity" />
-    <PackageReference Include="DotNetEnv" />
-  </ItemGroup>
-
-  <!-- For contributors: uses ProjectReference to build against local source -->
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
-    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry.Hosting\Microsoft.Agents.AI.Foundry.Hosting.csproj" />
-    <ProjectReference Include="..\Hosted_Shared_Contributor_Setup\Hosted_Shared_Contributor_Setup.csproj" />
-  </ItemGroup>
-
-  <!-- For end-users: uncomment the PackageReference below and remove the ProjectReferences above
-  <ItemGroup>
-    <PackageReference Include="Microsoft.Agents.AI.Foundry" Version="1.0.0" />
-    <PackageReference Include="Microsoft.Agents.AI.Foundry.Hosting" Version="1.0.0" />
-  </ItemGroup>
-  -->
-
-</Project>

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

@@ -1,87 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-// Hosted-MemoryAgent
-//
-// Demonstrates how to host an agent that uses FoundryMemoryProvider so that user-private memories
-// persist across requests and across sessions, scoped per user via the Foundry platform's
-// isolation key headers.
-//
-// Memory scope flows from request -> hosting layer -> session -> provider:
-//   1. Foundry sets x-agent-user-isolation-key on every inbound request.
-//   2. AgentFrameworkResponseHandler reads context.Isolation.UserIsolationKey via the registered
-//      HostedSessionIsolationKeyProvider and stores it on the session as a HostedSessionContext.
-//   3. FoundryMemoryProvider's stateInitializer reads HostedSessionContext.UserId and uses it as
-//      the FoundryMemoryProviderScope, partitioning memories per user.
-
-using Azure.AI.Projects;
-using Azure.Core;
-using Azure.Identity;
-using DotNetEnv;
-using Hosted_Shared_Contributor_Setup;
-using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Foundry;
-using Microsoft.Agents.AI.Foundry.Hosting;
-using Microsoft.Extensions.AI;
-
-// Load .env file if present (for local development).
-Env.TraversePath().Load();
-
-var projectEndpoint = new Uri(Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
-    ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set."));
-var agentName = Environment.GetEnvironmentVariable("AGENT_NAME")
-    ?? throw new InvalidOperationException("AGENT_NAME is not set.");
-var deployment = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o";
-var embeddingDeployment = Environment.GetEnvironmentVariable("AZURE_AI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-ada-002";
-var memoryStoreName = Environment.GetEnvironmentVariable("AZURE_AI_MEMORY_STORE_ID") ?? "hosted-memory-sample";
-
-// Use a chained credential: try a temporary dev token first (for local Docker debugging),
-// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in foundry).
-TokenCredential credential = new ChainedTokenCredential(
-    new DevTemporaryTokenCredential(),
-    new DefaultAzureCredential());
-
-AIProjectClient projectClient = new(projectEndpoint, credential);
-
-// FoundryMemoryProvider partitions memories per end user via a built-in HostedFoundryMemoryProviderScopes
-// helper that reads the platform-injected user isolation key from the HostedSessionContext that the
-// hosting layer placed on the session.
-FoundryMemoryProvider memoryProvider = new(
-    projectClient,
-    memoryStoreName,
-    stateInitializer: HostedFoundryMemoryProviderScopes.PerUser());
-
-// Provision the memory store on startup if it does not already exist. EnsureMemoryStoreCreatedAsync
-// is idempotent. Doing this once at start avoids per-request latency.
-await memoryProvider.EnsureMemoryStoreCreatedAsync(deployment, embeddingDeployment, "Memory store for the hosted travel-assistant sample.");
-
-const string AgentInstructions = """
-    You are a friendly travel assistant. When the user shares trip preferences, destinations,
-    travel companions, or constraints, remember them and use them in later turns. Use known
-    memories about the user when responding, and do not invent details.
-    """;
-
-ChatClientAgent agent = projectClient.AsAIAgent(new ChatClientAgentOptions()
-{
-    Name = agentName,
-    ChatOptions = new ChatOptions
-    {
-        ModelId = deployment,
-        Instructions = AgentInstructions
-    },
-    AIContextProviders = [memoryProvider]
-});
-
-// Host the agent as a Foundry Hosted Agent using the Responses API.
-var builder = WebApplication.CreateBuilder(args);
-builder.Services.AddFoundryResponses(agent);
-builder.Services.AddDevTemporaryLocalContributorSetup(); // Local Docker debugging only - must not be used in production.
-
-var app = builder.Build();
-app.MapFoundryResponses();
-
-// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
-// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
-// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
-app.MapDevTemporaryLocalAgentEndpoint();
-
-app.Run();

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

@@ -1,155 +0,0 @@
-# Hosted-MemoryAgent
-
-A hosted Foundry agent that uses **FoundryMemoryProvider** to remember user-private details across
-requests and across sessions, scoped per end user via the Foundry platform's isolation keys. The
-agent plays a friendly travel assistant: tell it about your trip, ask follow-up questions in a new
-session, and it recalls what it learned about you.
-
-This sample exists to demonstrate two things together:
-
-1. How to host an agent that consumes a `Microsoft.Extensions.AI.AIContextProvider` (specifically
-   `FoundryMemoryProvider`) under the Foundry Responses hosting layer.
-2. How the new `HostedSessionContext` flows from the `Foundry` platform isolation headers
-   (`x-agent-user-isolation-key`, `x-agent-chat-isolation-key`) through the
-   `HostedSessionIsolationKeyProvider` into the provider's `stateInitializer`, so memories are
-   partitioned per user automatically.
-
-## Prerequisites
-
-- [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
-- An Azure AI Foundry project with at least one chat model deployment and one embedding model deployment
-- Azure CLI logged in (`az login`)
-
-## Configuration
-
-Copy the template and fill in your values:
-
-```bash
-cp .env.example .env
-```
-
-Required:
-
-```env
-AZURE_AI_PROJECT_ENDPOINT=https://<account>.services.ai.azure.com/api/projects/<project>
-AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
-AZURE_AI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-ada-002
-AZURE_AI_MEMORY_STORE_ID=hosted-memory-sample
-AGENT_NAME=hosted-memory-agent
-ASPNETCORE_URLS=http://+:8088
-ASPNETCORE_ENVIRONMENT=Development
-```
-
-For local container runs only (the platform supplies these in production):
-
-```env
-HOSTED_USER_ISOLATION_KEY=alice
-HOSTED_CHAT_ISOLATION_KEY=alice-chat-1
-```
-
-> `.env` is gitignored. The `.env.example` template is checked in as a reference.
-
-## How memory scoping works
-
-| Layer | Source of the user identity |
-|---|---|
-| Inbound request | The Foundry platform sets `x-agent-user-isolation-key` and `x-agent-chat-isolation-key` headers on every request. |
-| Hosting layer | `AgentFrameworkResponseHandler` resolves a `HostedSessionIsolationKeyProvider` from DI and calls `GetKeysAsync(context, request, ct)`. The default implementation reads `context.Isolation.UserIsolationKey` and `context.Isolation.ChatIsolationKey`. |
-| Session | The handler stores the resolved values on the session as a `HostedSessionContext` on the first request, and validates the values on every subsequent request that resumes the same conversation (mismatch returns 403). |
-| Memory provider | The sample's `stateInitializer` reads `session.GetHostedContext().UserId` and uses it as the `FoundryMemoryProviderScope`. Memories are partitioned per user. |
-
-When running outside the Foundry platform the headers are absent. The sample registers
-`DevTemporaryLocalSessionIsolationKeyProvider` (via `AddDevTemporaryLocalContributorSetup`) which
-falls back to the `HOSTED_USER_ISOLATION_KEY` and `HOSTED_CHAT_ISOLATION_KEY` environment variables,
-defaulting to a single `local-dev-*` bucket when neither is set.
-
-> **Production warning.** Never register `DevTemporaryLocalSessionIsolationKeyProvider` in
-> production. The Foundry platform sets the isolation keys for every inbound request, and
-> client-supplied environment variables can be forged.
-
-## Running directly (contributors)
-
-This project uses `ProjectReference` to build against the local Agent Framework source.
-
-```bash
-cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent
-dotnet run
-```
-
-The agent starts on `http://localhost:8088`.
-
-### Test it
-
-```bash
-curl -X POST http://localhost:8088/responses \
-  -H "Content-Type: application/json" \
-  -d '{"input": "Hi! My name is Taylor and I am planning a hiking trip to Patagonia in November.", "model": "hosted-memory-agent"}'
-```
-
-Wait a few seconds for memory extraction, then ask a follow-up using the response id from the
-previous call as `previous_response_id`:
-
-```bash
-curl -X POST http://localhost:8088/responses \
-  -H "Content-Type: application/json" \
-  -d '{"input": "What do you already know about my upcoming trip?", "previous_response_id": "<id>", "model": "hosted-memory-agent"}'
-```
-
-## Running with Docker
-
-Since this project uses `ProjectReference`, the standard `Dockerfile` cannot resolve dependencies
-outside this folder. Use `Dockerfile.contributor` which takes a pre-published output.
-
-### 1. Publish for the container runtime (Linux Alpine)
-
-```bash
-dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out
-```
-
-### 2. Build the Docker image
-
-```bash
-docker build -f Dockerfile.contributor -t hosted-memory-agent .
-```
-
-### 3. Run the container
-
-```bash
-export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)
-
-docker run --rm -p 8088:8088 \
-  -e AGENT_NAME=hosted-memory-agent \
-  -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN \
-  -e HOSTED_USER_ISOLATION_KEY=alice \
-  -e HOSTED_CHAT_ISOLATION_KEY=alice-chat-1 \
-  --env-file .env \
-  hosted-memory-agent
-```
-
-### 4. Smoke test the running container
-
-A scripted smoke test that exercises memory recall and per-user isolation across two simulated
-users is provided at `scripts/smoke.ps1`. From the sample folder:
-
-```powershell
-pwsh ./scripts/smoke.ps1
-```
-
-The script publishes the project, builds the image, runs the container with two distinct
-`HOSTED_USER_ISOLATION_KEY` values, drives a multi-turn conversation per user, asserts that each
-user only sees their own memories, and exits non-zero on failure.
-
-## NuGet package users
-
-If you are consuming the Agent Framework as a NuGet package (not building from source), use the
-standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in
-`HostedMemoryAgent.csproj` for the `PackageReference` alternative.
-
-## How it differs from sibling samples
-
-| | Hosted-ChatClientAgent | Hosted-MemoryAgent |
-|---|---|---|
-| **Agent definition** | Inline (`AsAIAgent(model, instructions)`) | Inline, plus `AIContextProviders = [memoryProvider]` |
-| **State** | None beyond the conversation history | Per-user memories persisted in Foundry Memory |
-| **Identity** | Not used | Required: `HostedSessionContext.UserId` flows into the memory scope |
-| **Local dev** | `AddDevTemporaryLocalContributorSetup()` keeps requests succeeding when isolation headers are absent | Same; additionally honours `HOSTED_USER_ISOLATION_KEY` to simulate distinct users |

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

@@ -1,31 +0,0 @@
-# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/AgentManifest.yaml
-name: hosted-memory-agent
-displayName: "Hosted Memory Agent"
-
-description: >
-  A travel-assistant hosted agent that uses FoundryMemoryProvider to remember user-private
-  preferences and details across sessions. Memory is scoped per end user via the Foundry
-  platform's isolation key headers.
-
-metadata:
-  tags:
-    - AI Agent Hosting
-    - Azure AI AgentServer
-    - Responses Protocol
-    - Streaming
-    - Agent Framework
-    - Memory
-    - Foundry Memory
-
-template:
-  name: hosted-memory-agent
-  kind: hosted
-  protocols:
-    - protocol: responses
-      version: 1.0.0
-  resources:
-    cpu: "0.25"
-    memory: 0.5Gi
-parameters:
-  properties: []
-resources: []