Integrate Gemma 4 into the Vector AI system, specifically replacing Llama 3.1 for personality, as part of a broader AI stack enhancement.
## Overview The Vector AI Brain at `/Volumes/AI-Models/vector/` already has a production-grade autonomous system: - Priority-based BehaviorArbiter (SAFETY > ONBOARD > AI > IDLE) - Persistent MemoryBank with Jaccard scene similarity - LearningEngine for autonomous environment discovery - MissionController (SecurityPatrol, ObjectCensus, RoomCheck, PresenceWatch) - SpatialMemory for room mapping - VoiceHandler for voice commands Current AI stack: **LLaVA** (vision) + **Llama 3.1** (personality) — two separate models, no memory context injection. ## Goal Replace both models with **Gemma 4** (single call) that: 1. Sees through Vector's camera (multimodal vision) 2. Gets injected with full MemoryBank context — every prior observation, known objects, room history 3. Returns unified nav decision + personality reaction + memory note in one JSON response 4. Plugs transparently into the existing BehaviorArbiter + MemoryBank + MissionController ## Architectural decisions - **Swap mechanism**