🏗️ Architecture: What are the remaining gaps to test and fix before the pipel...

Date: 2026-02-06
Time: 02:19:52 UTC
Session: editor2-95.9
Agent: angular
Confidence: 93%
Status: ✅ Documented

📋 Decision Context

Question:

What are the remaining gaps to test and fix before the pipeline is fully operational?

Task: Session 96 preparation: remaining gaps and testing plan

🎯 Decision Made

Chosen:

GAP 1: AIModuleReceiverService is built but not yet wired into WorkflowSSEClientService - the existing SSE client in gograb-ai-lib needs to call receiveFromOrchestration() when orchestration_complete fires. GAP 2: Module Workbench doesn't auto-load from AIModuleReceiverService.lastReceivedModuleId signal yet. GAP 3: AI Gateway must be running for real LLM generation. GAP 4: MongoDB must be running for deployment records. GAP 5: Cloudflare credentials (CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID) needed for live deployment. GAP 6: P1-B mock API auto-registration at module startup not verified.

Options Considered:

1. Document all gaps for next session
2. Try to fix everything now without testing
3. Skip gaps and test immediately

💭 Reasoning

All the backend endpoints and frontend services are built and TypeScript-verified, but the integration points between existing SSE infrastructure and new services need small wiring updates. The environment dependencies (AI Gateway, MongoDB, Cloudflare) are external and must be confirmed running. The next session should: 1) Connect Chrome browser to test UI, 2) Wire the SSE→Receiver→Workbench chain, 3) Run full E2E test at localhost:5200/space/chrome-space-1/universe/paks-uni-1/hub.

📁 Files Involved

• libs/libs-ai/gograb-ai-lib/src/lib/services/workflow-sse-client.service.ts
• libs/libs-structural/modularity-lib/src/lib/components/module-workbench/module-workbench.component.ts

🔗 Related

• Decision ID: dev_1770344392711_pn1qtv9
• Session: 95
• Workspace: editor2

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