Architecture: How to implement Phases 2-5 of the agent intelligence enhanc...

Documentation for Sessions

🏗️ Architecture: How to implement Phases 2-5 of the agent intelligence enhanc...

Date: 2026-03-01
Time: 02:04:40 UTC
Session: gspace1-158.4
Agent: backend
Confidence: 87%
Status: ✅ Documented


📋 Decision Context

Question:

How to implement Phases 2-5 of the agent intelligence enhancement (Contextual Identity, Ambient Awareness, Skill Composition, Multi-Modal Memory, Agent Specialization, Platform Model Evolution)?

Task: Session 158: Phases 2-5 Agent Intelligence Enhancement implementation


🎯 Decision Made

Chosen:

Created 7 new backend services and 3 new schemas across both backends. Phase 2A: IdentitySynthesisService + ProjectIdentity schema, injected into PhaseExecutor ANALYZE phase. Phase 2B: EventBusService + WebhookActionExecutorService with @OnEvent decorators. Phase 3: SkillCompositionService with DAG resolution + VittoSkill extended with dependencies/compositeType/outputSchema. Phase 4A: VisualMemoryService + VittoMemory extended with attachments[]. Phase 4B: AgentSpecializationService + AgentSpecialization + SharedPattern schemas in backend-ai-api. Phase 5: PlatformModelService enhanced with refreshKnowledge(), learned facts, daily cron at 6am. Frontend: IdentityViewerComponent + all API methods + routes.

Options Considered:


💭 Reasoning

All 5 phases build on the Phase 1 feedback loop. Each phase touches existing services minimally (1-2 modifications per file) while adding new standalone services. Key architectural choices: (1) IdentitySynthesis uses rule-based v1 to avoid LLM cost during bootstrap, with v2 LLM path planned. (2) EventBus uses NestJS EventEmitter2 for typed event dispatch, avoiding custom pub/sub. (3) SkillComposition uses DAG with topological sort for dependency resolution. (4) AgentSpecialization uses @Optional() @InjectModel for graceful degradation. (5) PlatformModel refresh is additive-only (learned facts appended, never replacing hardcoded base).


📁 Files Involved


🔗 Related


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