Handoff: Session 103.2 — Orchestration Unification Testing

From: Coding Agent (Claude Code, Session 103.2) To: Testing Director (Cowork/Claude Desktop) Priority: High — validates core orchestration infrastructure Build Status: Passes (only pre-existing playwright warning)

What Was Done

Session 103.2 unified two complementary orchestration systems that previously operated in isolation:

1. OrchestrationService (backend-ai-api, port 3001) — Platform layer: plan creation, CommandCenter WebSocket broadcasting, learning pyramid, decision routing, session recording
2. Vitto Engine (backend-vitto-api, port 3003) — Execution engine: real LLM calls, 10 tools, 4-phase workflow (ANALYZE→PLAN→EXECUTE→VERIFY), multi-agent delegation

Before: OrchestrationService had simulated step executors returning template data. Vitto executed real work but its events never reached CommandCenter dashboards. 3 frontend endpoints were missing, causing empty UIs.

After: OrchestrationService delegates execution to Vitto. Vitto's events are translated to CommandCenter-compatible format so dashboards show real activity. 3 missing endpoints now return real data.

Files Modified (7 total, all in backend-ai-api)

Prerequisites

Before testing, ensure these services are running:

Start commands (if not already running):

yarn serve:backend-ai
yarn serve:backend-vitto
yarn serve:ai

Test Plan

Test 1: Event Translation (Phase 1)

What: Vitto events should now appear in CommandCenter dashboards, not just the VittoMonitor SSE feed.

Steps:

1. Open Chrome DevTools → Network tab → filter WS (WebSocket)
2. Navigate to http://localhost:6400 (gograb-ai app)
3. Open the Intelligence Hub or any page that connects to CommandCenter WebSocket
4. Observe that a WebSocket connection to /command-center is established
5. In a separate terminal, simulate a Vitto event relay:

   curl -X POST http://localhost:3001/ai-api/infrastructure/orchestration/events \
     -H "Content-Type: application/json" \
     -d '{
       "type": "vitto.phase",
       "taskId": "test_123",
       "data": {
         "phase": "ANALYZE",
         "status": "started",
         "taskSummary": "Test task for event translation"
       }
     }'
   

6. Check the WebSocket messages in DevTools — you should see:
   • task.started event with taskId test_123
   • orchestration.step event with stepId vitto_ANALYZE_test_123
   • task.progress event with progress 25
   • agent.spawned event with agentId vitto_ANALYZE_test_123

Expected: All 4 translated events appear in WebSocket feed. VittoMonitor SSE feed also continues working independently.

Verify additional phases:

# PLAN phase (50% progress)
curl -X POST http://localhost:3001/ai-api/infrastructure/orchestration/events \
  -H "Content-Type: application/json" \
  -d '{"type":"vitto.phase","taskId":"test_123","data":{"phase":"PLAN","status":"started"}}'

# EXECUTE phase (75% progress)
curl -X POST http://localhost:3001/ai-api/infrastructure/orchestration/events \
  -H "Content-Type: application/json" \
  -d '{"type":"vitto.phase","taskId":"test_123","data":{"phase":"EXECUTE","status":"started"}}'

# Task completed
curl -X POST http://localhost:3001/ai-api/infrastructure/orchestration/events \
  -H "Content-Type: application/json" \
  -d '{"type":"vitto.task.completed","taskId":"test_123","data":{"status":"completed","qualityScore":0.92}}'

Test 2: Vitto Execution via Orchestration (Phase 2)

What: POST /ai-api/orchestration/run should create a plan AND delegate execution to Vitto.

Steps:

1. Submit a task:

   curl -X POST http://localhost:3001/ai-api/orchestration/run \
     -H "Content-Type: application/json" \
     -d '{"task": "Analyze the current state of the authentication module"}'
   

2. Check the response — should include:
   • plan.planId — the orchestration plan ID
   • execution.success — true if Vitto accepted the task
   • execution.vittoTaskId — the Vitto task ID
   • execution.mode — execution mode from Vitto

Expected: If Vitto is running, response has execution.success: true with a real vittoTaskId. If Vitto is not running, response has execution.success: false with error message about connection failure.

Follow-up — Progress sync: 3. Poll the plan status:

curl http://localhost:3001/ai-api/orchestration/{planId}/status

4. As Vitto processes the task (events flow via relay), the progress should update:
   • ANALYZE phase → 25%
   • PLAN phase → 50%
   • EXECUTE phase → 75%
   • VERIFY phase / completion → 100%

Test 3: Agent Mesh Endpoint (Phase 3A)

What: GET /ai-api/orchestration/mesh should return real agent data instead of 404.

Steps:

curl http://localhost:3001/ai-api/orchestration/mesh | python3 -m json.tool

Expected response structure:

{
  "mesh": {
    "agents": [
      { "id": "agent-id", "status": "idle", "decisionCount": 5, "source": "learning-router" }
    ],
    "messages": [],
    "connectedClients": 0,
    "activeAgents": 0,
    "vittoStatus": { "status": "..." }
  }
}

What to verify:

• Response is 200 (not 404)
• mesh.agents array contains specialized agents from LearningRouter with knowledgeCount
• If Vitto is running, mesh.vittoStatus shows engine status
• If Vitto is not running, mesh.vittoStatus shows { "status": "unreachable" }
• connectedClients reflects number of WebSocket connections to CommandCenter

Frontend verification:

• Navigate to the Agent Mesh Visualization component (if accessible from UI)
• Verify it renders agent nodes instead of showing empty/loading state

Test 4: Delegation Endpoint (Phase 3B)

What: POST /ai-api/orchestration/delegate should submit tasks to Vitto AND return learning context.

Steps:

curl -X POST http://localhost:3001/ai-api/orchestration/delegate \
  -H "Content-Type: application/json" \
  -d '{"task": "Fix the Angular component rendering issue", "agentType": "implementation"}'

Expected response (Vitto running):

{
  "success": true,
  "agentId": "vitto-task-id",
  "vittoTaskId": "vitto-task-id",
  "mode": "autonomous",
  "response": {
    "knowledge": ["similar past decisions..."],
    "recommendations": ["relevant patterns..."]
  }
}

Expected response (Vitto NOT running):

{
  "success": false,
  "agentId": null,
  "response": { "knowledge": [], "recommendations": [] },
  "error": "connect ECONNREFUSED..."
}

Frontend verification:

• Open the AI Playground component (if accessible)
• Check if delegation submits successfully and returns knowledge

Test 5: Thought Stream Endpoint (Phase 3C)

What: GET /ai-api/orchestration/thoughts/stream should return current AI activity.

Steps:

curl "http://localhost:3001/ai-api/orchestration/thoughts/stream?limit=10" | python3 -m json.tool

Expected response structure:

{
  "thoughts": [],
  "status": "idle",
  "currentFocus": null,
  "taskDescription": null,
  "totalDecisions": 0,
  "lastActivityAge": null
}

With active Vitto task: After submitting a task via /orchestration/run, the thought stream should show:

• thoughts array with relay snapshot entries
• status reflecting current phase: "thinking" (ANALYZE/PLAN), "executing" (EXECUTE), "learning" (VERIFY)
• currentFocus showing the active phase name
• lastActivityAge showing milliseconds since last event

Frontend verification:

• Check if the Thought Stream service/component renders activity instead of empty state

Test 6: Existing Endpoints Regression

What: All pre-existing orchestration endpoints must still work.

Steps:

# Create a plan (should use LearningPyramid — real, not simulated)
curl -X POST http://localhost:3001/ai-api/orchestration/plan \
  -H "Content-Type: application/json" \
  -d '{"task": "Add dark mode to the settings page"}'

# Get active orchestrations
curl http://localhost:3001/ai-api/orchestration/active

# Get specific plan status (use planId from above)
curl http://localhost:3001/ai-api/orchestration/{planId}/status

# Update progress manually
curl -X POST http://localhost:3001/ai-api/orchestration/{planId}/progress \
  -H "Content-Type: application/json" \
  -d '{"progress": 50, "currentStep": "Manual test update"}'

# Mark failed
curl -X POST http://localhost:3001/ai-api/orchestration/{planId}/fail \
  -H "Content-Type: application/json" \
  -d '{"reason": "Testing failure path"}'

Expected: All endpoints return 200 with expected data. Plan creation returns steps with dependencies. Status tracking works.

Test 7: VittoMonitor Still Works (No Regression)

What: The Vitto Monitor (SSE-based) should continue working independently.

Steps:

1. Navigate to http://localhost:6400/vitto (Vitto Monitor route)
2. Verify the SSE connection establishes
3. If Vitto is running, verify real-time events appear in the monitor
4. Confirm the monitor is unaffected by the orchestration unification changes

Expected: VittoMonitor displays Vitto status and events via SSE, completely independent of the CommandCenter WebSocket path.

Test 8: End-to-End Flow (Full Integration)

What: Submit a real task and verify the complete flow from submission to dashboard visualization.

Steps:

1. Open http://localhost:6400 with DevTools open (Network + Console)
2. Ensure both backends are running (3001 + 3003)
3. Submit a task via the orchestration API:

   curl -X POST http://localhost:3001/ai-api/orchestration/run \
     -H "Content-Type: application/json" \
     -d '{"task": "Research best practices for Angular signals migration"}'
   

4. Observe in real-time:
   • Backend logs show "Delegating orchestration... to Vitto"
   • Vitto logs show task acceptance and ANALYZE phase start
   • WebSocket messages show task.started, orchestration.step, agent.spawned
   • Progress increments: 25% → 50% → 75% → 100%
   • Final task.completed event with quality score

This is the most important test — it validates the full unified pipeline:

User submits task
  → OrchestrationService creates plan (LearningPyramid)
  → OrchestrationService delegates to Vitto (VittoClientService)
  → Vitto runs ANALYZE→PLAN→EXECUTE→VERIFY (real LLM)
  → Vitto emits events → POST /ai-api/infrastructure/orchestration/events
  → OrchestrationRelayController translates events
  → CommandCenterGateway broadcasts to WebSocket clients
  → Frontend dashboards show real-time activity
  → @OnEvent listeners sync progress back to OrchestrationService
  → REST status endpoints reflect real progress

Known Limitations

1. Vitto must be running for execution tests (Tests 2, 4, 8). If only backend-ai-api is running, plan creation works but execution returns a connection error. This is expected — Vitto is the execution engine.

2. Pre-existing playwright warning in build output — not related to these changes.

3. CommandCenter connected clients — the mesh endpoint returns client count (not individual client details) because connectedClients is a private Map in CommandCenterGateway. The count is still useful for mesh visualization.

4. Progress sync requires planId context — Vitto must echo the planId from the orchestration context in its events for progress to map back to the original plan. If Vitto doesn't include it, progress sync via EventEmitter won't fire (harmless — CommandCenter WS still gets events directly).

Findings Template

Please document your findings using this structure:

## Test Results — Session 103.2 Orchestration Unification

### Environment
- Date: YYYY-MM-DD
- backend-ai-api running: yes/no
- backend-vitto-api running: yes/no
- gograb-ai running: yes/no

### Test 1: Event Translation
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 2: Vitto Execution
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 3: Agent Mesh
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 4: Delegation
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 5: Thought Stream
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 6: Regression
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 7: VittoMonitor
- Status: PASS / FAIL / PARTIAL
- Notes:

### Test 8: End-to-End
- Status: PASS / FAIL / PARTIAL
- Notes:

### Issues Found
1. [Description + screenshot if applicable]

### Recommendations
1. [Any follow-up work needed]