feat: Smart Queue Consumer implementation draft + architecture review

- SMART_QUEUE_IMPLEMENTATION.md: Complete implementation draft (1572 lines)
  with 10 quick-win fixes and full smart queue consumer rewrite
- ARCHITECTURE_REVIEW.md: 26-issue audit with prioritized findings
- Verified all 3 GPUs live: amdpve (73% util), llmgpu (idle), ocu_llm (idle)
- Redis 7.4.9 confirmed streams support
- GPU sidecar metrics verified on all hosts

Key fixes:
- QW-1: Dockerfile path mismatch (Dockerfile.queue -> queue-service/Dockerfile)
- QW-2: Nginx fallback only on ALL-GPU failure (not single GPU)
- QW-3: Container names fixed to Docker service names
- QW-4: Redis host default fixed (192.168.68.7 -> redis)
- QW-5: Dependency version pinning
- QW-7-10: Health checks, restart policy, Gunicorn, single-process collector

Smart queue features:
- Redis Streams + consumer groups
- GPU-aware load balancing via sidecar metrics
- Per-GPU circuit breakers with half-open recovery
- Adaptive backpressure (0-30 normal, 30-40 warn, 40-50 503, >50 open)
- Dead letter queue with retry endpoint
- Job ID tracking and /status/<job_id> API

MIGRATION_PLAN.md

@@ -0,0 +1,71 @@
+# Syslog Harness — Production Migration Plan
+
+## Current State (Development)
+- **Host:** CT 114 (192.168.68.123)
+- **Docker containers:** `syslog-queue` (:8091), `syslog-dashboard` (:3001)
+- **Nginx:** Local on CT 114, routing to GPUs + Docker services
+- **Status:** All components verified and operational
+
+## Target State (Production)
+- **Host:** New CT (e.g., `docker-vm` on 192.168.68.x)
+- **Docker containers:** Same queue + dashboard services
+- **Nginx:** Containerized on production CT
+- **GPU backends:** Same (192.168.68.15, .8, .110)
+
+## Migration Steps
+
+### 1. Prepare Production CT
+```bash
+# Create new CT on Proxmox
+# Install Docker
+apt update && apt install -y docker.io docker-compose-plugin
+
+# Pull/cloned harness repo
+git clone <repo-url> /root/syslog-harness
+cd /root/syslog-harness
+```
+
+### 2. Update docker-compose.yml for Production
+- Change `REDIS_HOST` to production Redis IP
+- Update GPU endpoint env vars if IPs change
+- Add volume mounts for persistence
+
+### 3. Build & Deploy
+```bash
+# Build images
+docker compose build
+
+# Start services
+docker compose up -d
+
+# Verify health
+curl http://localhost:8091/health
+curl http://localhost:3001/api/status
+```
+
+### 4. Configure Nginx
+- Copy `/etc/nginx/conf.d/gpu-router.conf` to production CT
+- Update upstream IPs if needed
+- Test and reload
+
+### 5. DNS / Routing Update
+- Point agent traffic to new CT IP
+- Update Hermes config `inference_api_url`
+- Test agent routing
+
+### 6. Verification Checklist
+- [ ] Queue service health check passes
+- [ ] Dashboard API returns GPU health
+- [ ] Nginx routes to correct GPU based on header
+- [ ] Circuit breaker triggers on excess load
+- [ ] Queue fallback works when GPUs down
+- [ ] Agent requests reach correct model
+
+## Rollback Plan
+- Keep CT 114 running as backup
+- Revert DNS/routing to .123 if issues
+- Docker containers can be stopped/started instantly
+
+---
+*Created: May 15, 2026*
+*Status: Development verified, ready for production migration*