Abiba
9c31b5d622
- Model migration: gemma-4-E4B → qwen3.5-9b-vlm - Dashboard reorder: Usage Over Time + GPU Metrics to top - Router counter leak fix (gpu_decr in except handler) - VLM slot upgrade 1→2 - Redis stale key cleanup - Automated maintenance cron job - LiteLLM config update - GPU router config update - README update
959 B
959 B
syslog-harness — Inference API Harness
CT 116 Docker stack for routing local GPU models through a unified OpenAI-compatible API.
Architecture
nginx :80 → router :9000 → GPU backends
├─ qwen3.6-35B-A3B (MoE) @ 192.168.68.15:8080
├─ qwen3.6-27B-code (Dense) @ 192.168.68.8:8080
└─ qwen3.5-9b-vlm (VLM) @ 192.168.68.110:8080
LiteLLM :8081 (fallback) | Dashboard :3000 | Redis :6379 (local)
Deploy
cd /opt/inference-harness
docker compose up -d
Endpoints
| URL | Purpose |
|---|---|
/v1/chat/completions |
Inference API (OpenAI-compatible) |
/v1/models |
Available models |
/ |
Dashboard (GPU health, routing, agents, timeseries) |
Agent API Keys
| Agent | Key |
|---|---|
| Abiba | sk-syslog-abiba |
| Mumuni | sk-syslog-mumuni |
| Tanko | sk-syslog-tanko |
| Koby | sk-syslog-koby |
| Kagenz0 | sk-syslog-kagenz0 |