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__pycache__/
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*.pyc
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.env
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redis-data/
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ssl/
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@@ -1,63 +1,39 @@
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# Syslog Harness
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# syslog-harness — Inference API Harness
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Operational orchestration layer for Syslog's internal AI agents.
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CT 116 Docker stack for routing local GPU models through a unified OpenAI-compatible API.
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## Architecture
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```
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┌─────────────┐ ┌──────────────┐ ┌─────────────┐
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│ Agent │────>│ Nginx │────>│ GPU Pool │
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│ (Hermes) │ │ Router │ │ (MoE/Dense)│
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└─────────────┘ └──────────────┘ └─────────────┘
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│
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├──> :8091 Queue Service (Docker)
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│
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└──> :3001 Dashboard (Docker)
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nginx :80 → router :9000 → GPU backends
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├─ qwen3.6-35B-A3B (MoE) @ 192.168.68.15:8080
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├─ qwen3.6-27B-code (Dense) @ 192.168.68.8:8080
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└─ gemma-4-E4B (Light) @ 192.168.68.110:8080
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LiteLLM :8081 (fallback) | Dashboard :3000 | Redis :6379 (local)
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```
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## Components
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| Service | Port | Container | Purpose |
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|---|---|---|---|
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| Nginx Router | 8080 | Host | Routes requests to GPU backends |
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| Queue Service | 8091 | `syslog-queue` | Enqueues requests when GPUs are down |
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| Dashboard | 3001 | `syslog-dashboard` | Observability UI + API |
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## GPU Routing
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| Header `X-Syslog-Model` | Backend | Model |
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|---|---|---|
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| (none) / `standard` | amdpve (.15) | qwen3.6-35B-A3B (MoE) |
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| `heavy` / `qwen3.5-27B` | llmgpu (.8) | qwen3.5-27B (Dense) |
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| `light` / `gemma-4` | ocu_llm (.110) | gemma-4-E4B (Light) |
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## Quick Start
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## Deploy
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```bash
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# Build & start
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docker compose build
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cd /opt/inference-harness
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docker compose up -d
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# Verify
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curl http://localhost:8091/health
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curl http://localhost:3001/api/status
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```
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## Dashboard
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## Endpoints
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- **UI:** `http://<host>:8080/dashboard/harness.html`
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- **API:** `http://<host>:8080/dashboard/api/status`
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| URL | Purpose |
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|-----|---------|
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| `/v1/chat/completions` | Inference API (OpenAI-compatible) |
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| `/v1/models` | Available models |
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| `/` | Dashboard (GPU health, routing, agents, timeseries) |
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## Circuit Breaker
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## Agent API Keys
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- Rate limit: 10 req/s per IP
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- Burst: 20 requests
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- Excess returns 503
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- Queue fallback on GPU 502/503
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## Production Migration
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See [MIGRATION_PLAN.md](./MIGRATION_PLAN.md)
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---
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*Built for Syslog Solution LLC — Quality over speed.*
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| Agent | Key |
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|-------|-----|
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| Abiba | `sk-syslog-abiba` |
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| Mumuni | `sk-syslog-mumuni` |
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| Tanko | `sk-syslog-tanko` |
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| Koby | `sk-syslog-koby` |
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| Kagenz0 | `sk-syslog-kagenz0` |
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FROM python:3.12-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY dashboard.py .
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EXPOSE 3000
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CMD ["python", "dashboard.py"]
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"""Harness Dashboard."""
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import os, json, time, queue, threading
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import requests
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from flask import Flask, request, render_template_string, Response, stream_with_context
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ROUTER_METRICS = os.environ.get("ROUTER_METRICS_URL", "http://router:9000/metrics")
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app = Flask(__name__)
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sse_subscribers = []
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sse_lock = threading.Lock()
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def fetch_state():
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try:
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r = requests.get(ROUTER_METRICS, timeout=5)
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if r.status_code == 200: return r.json()
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except Exception: pass
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return {"gpus":[],"route_counts":{},"agent_counts":{},"recent":[],"timestamp":time.time()}
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def broadcast_loop():
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while True:
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time.sleep(3)
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data = fetch_state()
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payload = json.dumps(data)
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with sse_lock:
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dead = []
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for q in sse_subscribers:
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try: q.put(payload)
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except Exception: dead.append(q)
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for q in dead: sse_subscribers.remove(q)
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threading.Thread(target=broadcast_loop, daemon=True).start()
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DASHBOARD_HTML = r"""<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Inference Harness - Syslog Solution LLC</title>
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<style>
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:root {
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--bg: #0a0e14; --card: #131820; --border: #1e2a3a; --text: #c9d1d9;
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--dim: #5c6670; --accent: #39bae6; --green: #7fd962; --yellow: #ffb454;
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--red: #f26d78; --blue: #59c2ff; --purple: #d2a6ff;
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}
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* { margin:0; padding:0; box-sizing:border-box; }
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body {
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font-family: -apple-system, BlinkMacSystemFont, 'SF Pro Display', 'Segoe UI', system-ui, sans-serif;
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background: var(--bg); color: var(--text); min-height: 100vh;
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padding: clamp(12px, 3vw, 32px);
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}
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.header {
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display: flex; align-items: center; justify-content: space-between;
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flex-wrap: wrap; gap: 12px; margin-bottom: 24px;
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}
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.header h1 { font-size: clamp(18px, 4vw, 26px); font-weight: 700; color: #fff; }
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.header h1 span { color: var(--accent); }
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.status-bar { display: flex; gap: 16px; align-items: center; flex-wrap: wrap; font-size: 13px; color: var(--dim); }
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.status-dot { width: 8px; height: 8px; border-radius: 50%; display: inline-block; }
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.status-dot.live { background: var(--green); animation: pulse 2s infinite; }
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@keyframes pulse { 0%,100%{opacity:1} 50%{opacity:0.3} }
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.grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(min(100%, 340px), 1fr)); gap: 16px; }
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.card {
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background: var(--card); border: 1px solid var(--border);
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border-radius: 12px; padding: clamp(12px, 3vw, 20px);
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}
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.card-title {
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font-size: 13px; font-weight: 600; text-transform: uppercase;
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letter-spacing: 0.5px; color: var(--dim); margin-bottom: 14px;
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}
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.gpu-row {
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display: flex; align-items: center; gap: 14px; padding: 10px 0;
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border-bottom: 1px solid rgba(255,255,255,0.04);
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}
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.gpu-row:last-child { border-bottom: none; }
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.gpu-icon {
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width: 40px; height: 40px; border-radius: 10px; display: flex;
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align-items: center; justify-content: center; font-size: 18px; flex-shrink: 0;
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}
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.gpu-icon.green { background: rgba(127,217,98,0.12); color: var(--green); }
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.gpu-icon.yellow { background: rgba(255,180,84,0.12); color: var(--yellow); }
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.gpu-icon.red { background: rgba(242,109,120,0.12); color: var(--red); }
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.gpu-info { flex:1; min-width: 0; }
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.gpu-name { font-size: 14px; font-weight: 600; color: #e6edf3; }
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.gpu-metrics { display: flex; gap: 20px; flex-wrap: wrap; margin-top: 6px; }
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.gpu-metric { font-size: 12px; }
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.gpu-metric .label { color: var(--dim); }
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.gpu-metric .value { color: #e6edf3; font-weight: 500; font-variant-numeric: tabular-nums; }
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.vram-bar { width: 100%; height: 4px; background: rgba(255,255,255,0.06); border-radius: 2px; margin-top: 6px; overflow: hidden; }
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.vram-fill { height: 100%; border-radius: 2px; transition: width 0.6s ease; }
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.vram-fill.green { background: var(--green); }
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.vram-fill.yellow { background: var(--yellow); }
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.vram-fill.red { background: var(--red); }
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.bar-row { margin-bottom: 10px; }
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.bar-label { display: flex; justify-content: space-between; font-size: 12px; margin-bottom: 4px; }
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.bar-label .name { color: #e6edf3; }
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.bar-label .count { color: var(--dim); font-variant-numeric: tabular-nums; }
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.bar-track { height: 6px; background: rgba(255,255,255,0.06); border-radius: 3px; overflow: hidden; }
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.bar-fill { height: 100%; border-radius: 3px; transition: width 0.6s ease; }
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.route-table { width: 100%; font-size: 12px; border-collapse: collapse; }
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.route-table th, .route-table td { text-align: left; padding: 6px 10px; }
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.route-table th { color: var(--dim); font-weight: 500; font-size: 11px; text-transform: uppercase; letter-spacing: 0.3px; border-bottom: 1px solid var(--border); }
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.route-table td { border-bottom: 1px solid rgba(255,255,255,0.03); color: #b0b8c4; }
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.agent-tag { display: inline-block; padding: 1px 7px; border-radius: 10px; font-size: 11px; font-weight: 600; }
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.agent-abiba { background: rgba(57,186,230,0.15); color: var(--accent); }
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.agent-mumuni { background: rgba(210,166,255,0.15); color: var(--purple); }
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.agent-tanko { background: rgba(255,180,84,0.15); color: var(--yellow); }
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.agent-koby { background: rgba(89,194,255,0.15); color: var(--blue); }
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.agent-kagenz0 { background: rgba(127,217,98,0.15); color: var(--green); }
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.agent-unknown { background: rgba(255,255,255,0.06); color: var(--dim); }
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.agent-admin { background: rgba(255,255,255,0.08); color: #e6edf3; }
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.full { grid-column: 1 / -1; }
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.period-btn {
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background: var(--card); border: 1px solid var(--border); color: var(--dim);
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padding: 4px 12px; border-radius: 6px; font-size: 12px; cursor: pointer;
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font-family: inherit; transition: all 0.2s;
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}
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.period-btn.active { background: var(--accent); color: #000; border-color: var(--accent); }
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.period-btn:hover { border-color: var(--accent); color: #e6edf3; }
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@media (max-width: 600px) {
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.gpu-metrics { gap: 10px; }
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.route-table { font-size: 11px; }
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.route-table th, .route-table td { padding: 4px 6px; }
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}
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</style>
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</head>
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<body>
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<div class="header">
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<h1><span>⚡</span> Inference Harness</h1>
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<div class="status-bar">
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<span class="status-dot" id="live-dot"></span>
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<span id="connection-status">connecting...</span>
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<span id="update-time"></span>
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<span id="total-requests">0 requests</span>
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</div>
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</div>
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<div class="grid">
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<div class="card full">
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<div class="card-title">GPU Health</div>
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<div id="gpu-container">Loading...</div>
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</div>
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<div class="card">
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<div class="card-title">Model Distribution</div>
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<div id="route-bars">-</div>
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</div>
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<div class="card" style="grid-column: span 2">
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<div class="card-title" style="display:flex;justify-content:space-between;align-items:center;flex-wrap:wrap;gap:4px">
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<span>Usage Over Time</span>
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<div style="display:flex;gap:4px">
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<button class="period-btn active" onclick="switchPeriod('day')">24h</button>
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<button class="period-btn" onclick="switchPeriod('week')">7d</button>
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<button class="period-btn" onclick="switchPeriod('month')">30d</button>
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</div>
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</div>
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<div id="timeseries-chart" style="height:140px;position:relative;overflow:hidden">
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<div style="color:var(--dim);font-size:13px;padding:50px 0;text-align:center">Loading...</div>
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</div>
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<div id="timeseries-legend" style="display:flex;gap:16px;justify-content:center;margin-top:8px;flex-wrap:wrap"></div>
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</div>
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<div class="card">
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<div class="card-title">Agent Activity</div>
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<div id="agent-bars">-</div>
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</div>
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<div class="card full">
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<div class="card-title">Live Request Stream</div>
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<div style="overflow-x:auto">
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<table class="route-table">
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<thead><tr><th>Time</th><th>Agent</th><th>Model</th><th>Reason</th><th>Tier</th></tr></thead>
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<tbody id="route-tbody"><tr><td colspan="5">Waiting for data...</td></tr></tbody>
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</table>
|
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</div>
|
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</div>
|
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</div>
|
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<script>
|
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const MODEL_COLORS = {'gemma-4-E4B':'#7fd962','qwen3.6-27B-code':'#ffb454','qwen3.6-35B-A3B':'#d2a6ff'};
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const MODEL_LABELS = {'gemma-4-E4B':'Gemma 4B','qwen3.6-27B-code':'Qwen Code 27B','qwen3.6-35B-A3B':'Qwen MoE 35B'};
|
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const GPU_LABELS = {'NVIDIA GeForce RTX 5070':'RTX 5070 - Gemma 4B','NVIDIA GeForce RTX 3090':'RTX 3090 - Qwen Code 27B','AMD Radeon (Strix Halo)':'Strix Halo - Qwen MoE 35B'};
|
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|
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function statusIcon(status) {
|
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if (status === 'healthy') return '<span class="gpu-icon green">●</span>';
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if (status === 'saturated') return '<span class="gpu-icon yellow">◉</span>';
|
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return '<span class="gpu-icon red">○</span>';
|
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}
|
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function vramClass(pct) { if(pct>90)return'red';if(pct>75)return'yellow';return'green'; }
|
||||
|
||||
function render(data) {
|
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if(!data||!data.gpus)return;
|
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const total = Object.values(data.route_counts||{}).reduce((a,b)=>a+b,0);
|
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document.getElementById('total-requests').textContent = total + ' requests';
|
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document.getElementById('update-time').textContent = new Date().toLocaleTimeString();
|
||||
|
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const gpus = data.gpus||[];
|
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document.getElementById('gpu-container').innerHTML = gpus.map(g => '<div class="gpu-row">'+statusIcon(g.status)+'<div class="gpu-info"><div class="gpu-name">'+(GPU_LABELS[g.gpu_name]||g.gpu_name||g.id||'?')+'</div><div class="gpu-metrics"><div class="gpu-metric"><span class="label">VRAM</span> <span class="value">'+(g.vram_used_mb||'?')+'/'+(g.vram_total_mb||'?')+' MB</span></div><div class="gpu-metric"><span class="label">Temp</span> <span class="value">'+(g.temp_c||'?')+'C</span></div><div class="gpu-metric"><span class="label">Util</span> <span class="value">'+(g.gpu_util_pct||0)+'%</span></div>'+(g.power_w!=null?'<div class="gpu-metric"><span class="label">Power</span> <span class="value">'+g.power_w+'W</span></div>':'')+'</div><div class="vram-bar"><div class="vram-fill '+vramClass(g.vram_pct||0)+'" style="width:'+(g.vram_pct||0)+'%"></div></div></div><div style="font-size:24px;font-weight:700;color:'+(vramClass(g.vram_pct||0)==='red'?'var(--red)':vramClass(g.vram_pct||0)==='yellow'?'var(--yellow)':'var(--green)')+';min-width:50px;text-align:right">'+(g.vram_pct||0)+'%</div></div>').join('');
|
||||
|
||||
const rc = data.route_counts||{};
|
||||
const maxR = Math.max(1,...Object.values(rc));
|
||||
document.getElementById('route-bars').innerHTML = Object.entries(rc).length ? Object.entries(rc).sort((a,b)=>b[1]-a[1]).map(([m,c])=>'<div class="bar-row"><div class="bar-label"><span class="name">'+(MODEL_LABELS[m]||m)+'</span><span class="count">'+c+' ('+(total?Math.round(c/total*100):0)+'%)</span></div><div class="bar-track"><div class="bar-fill" style="width:'+(c/maxR*100)+'%;background:'+(MODEL_COLORS[m]||'#39bae6')+'"></div></div></div>').join('') : '<div style="color:var(--dim);font-size:13px">No data yet</div>';
|
||||
|
||||
const ac = data.agent_counts||{};
|
||||
const maxA = Math.max(1,...Object.values(ac));
|
||||
document.getElementById('agent-bars').innerHTML = Object.entries(ac).length ? Object.entries(ac).sort((a,b)=>b[1]-a[1]).map(([a,c])=>'<div class="bar-row"><div class="bar-label"><span class="name agent-'+a.toLowerCase().replace(/[^a-z]/g,'')+'">'+a+'</span><span class="count">'+c+' reqs</span></div><div class="bar-track"><div class="bar-fill" style="width:'+(c/maxA*100)+'%;background:var(--accent)"></div></div></div>').join('') : '<div style="color:var(--dim);font-size:13px">No agent activity yet</div>';
|
||||
|
||||
const recent = data.recent||[];
|
||||
document.getElementById('route-tbody').innerHTML = recent.length ? recent.slice(0,25).map(r=>{const d=new Date(r.ts*1000);const a=r.agent||'?';const cl='agent-'+a.toLowerCase().replace(/[^a-z0-9]/g,'');return'<tr><td style="color:var(--dim);font-size:11px">'+d.toLocaleTimeString()+'</td><td><span class="agent-tag '+cl+'">'+a+'</span></td><td>'+(MODEL_LABELS[r.model]||r.model)+'</td><td style="color:var(--dim);font-size:11px">'+(r.reason||'')+'</td><td style="font-size:11px;text-transform:uppercase;color:'+(r.tier==='enterprise'?'var(--purple)':r.tier==='professional'?'var(--blue)':'var(--dim)')+'">'+(r.tier||'')+'</td></tr>';}).join('') : '<tr><td colspan="5" style="color:var(--dim)">Waiting for requests...</td></tr>';
|
||||
}
|
||||
|
||||
let currentPeriod = 'day';
|
||||
async function switchPeriod(p) {
|
||||
currentPeriod = p;
|
||||
document.querySelectorAll('.period-btn').forEach(b => b.classList.remove('active'));
|
||||
document.querySelectorAll('.period-btn').forEach(b => { if(b.textContent.trim().startsWith(p==='day'?'24h':p==='week'?'7d':'30d')) b.classList.add('active'); });
|
||||
await loadTimeseries();
|
||||
}
|
||||
async function loadTimeseries() {
|
||||
try { const r = await fetch('/api/timeseries?period='+currentPeriod); renderTimeseries(await r.json()); } catch(e) {}
|
||||
}
|
||||
function renderTimeseries(d) {
|
||||
const models = d.models||{}, labels = d.labels||[];
|
||||
if(!labels.length)return;
|
||||
const container = document.getElementById('timeseries-chart');
|
||||
const legend = document.getElementById('timeseries-legend');
|
||||
const modelNames = Object.keys(models);
|
||||
if(!modelNames.length){container.innerHTML='<div style="color:var(--dim);font-size:13px;padding:50px 0;text-align:center">No data yet</div>';return;}
|
||||
const colors = {'gemma-4-E4B':'#7fd962','qwen3.6-27B-code':'#ffb454','qwen3.6-35B-A3B':'#d2a6ff'};
|
||||
const shortNames = {'gemma-4-E4B':'Gemma','qwen3.6-27B-code':'Qwen Code','qwen3.6-35B-A3B':'Qwen MoE'};
|
||||
let maxVal = 1;
|
||||
for(const m in models) for(const v of models[m]) if(v>maxVal) maxVal=v;
|
||||
maxVal = Math.ceil(maxVal*1.15)||1;
|
||||
const W = labels.length>1?100/(labels.length-1):100, H=130;
|
||||
let paths='';
|
||||
for(const m of modelNames){const vals=models[m]||[];let d='';for(let i=0;i<vals.length;i++){const x=i*W,y=H-(vals[i]/maxVal)*H;d+=(i===0?'M':'L')+x.toFixed(1)+','+y.toFixed(1)+' ';}paths+='<path d="'+d+'" fill="none" stroke="'+(colors[m]||'#39bae6')+'" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round" opacity="0.85"/>';}
|
||||
let grid='';
|
||||
for(let g=0;g<=4;g++){const y=(g/4)*H;grid+='<line x1="0" y1="'+y.toFixed(1)+'" x2="100" y2="'+y.toFixed(1)+'" stroke="rgba(255,255,255,0.05)" stroke-width="1"/>';}
|
||||
const svg='<svg viewBox="0 0 100 '+(H+16)+'" style="width:100%;height:'+(H+20)+'px;display:block" preserveAspectRatio="none">'+grid+paths+'</svg>';
|
||||
const step=Math.max(1,Math.floor(labels.length/8));
|
||||
let lh='<div style="display:flex;margin-top:2px;font-size:10px;color:var(--dim);overflow:hidden">';
|
||||
for(let i=0;i<labels.length;i+=step) lh+='<div style="flex:1;text-align:center">'+labels[i]+'</div>';
|
||||
lh+='</div>';
|
||||
container.innerHTML=svg+lh;
|
||||
legend.innerHTML=modelNames.map(m=>'<span style="display:flex;align-items:center;gap:6px;font-size:11px;color:var(--dim)"><svg width="18" height="10"><line x1="0" y1="5" x2="18" y2="5" stroke="'+(colors[m]||'#39bae6')+'" stroke-width="2.5"/></svg>'+shortNames[m]+'</span>').join('');
|
||||
}
|
||||
|
||||
function poll(){fetch('/api/state').then(r=>r.json()).then(data=>{render(data);document.getElementById('connection-status').textContent='live';document.getElementById('live-dot').className='status-dot live';}).catch(()=>{document.getElementById('connection-status').textContent='reconnecting...';document.getElementById('live-dot').className='status-dot';});}
|
||||
poll();setInterval(poll,3000);loadTimeseries();
|
||||
</script>
|
||||
</body>
|
||||
</html>"""
|
||||
|
||||
@app.route("/")
|
||||
def dashboard():
|
||||
return render_template_string(DASHBOARD_HTML)
|
||||
|
||||
@app.route("/api/state")
|
||||
def api_state():
|
||||
return fetch_state()
|
||||
|
||||
@app.route("/api/timeseries")
|
||||
def api_timeseries():
|
||||
period = request.args.get("period", "day")
|
||||
try:
|
||||
r = requests.get("http://router:9000/metrics/timeseries?period=" + period, timeout=5)
|
||||
if r.status_code == 200: return r.json()
|
||||
except Exception: pass
|
||||
return {"models": {}, "labels": []}
|
||||
|
||||
@app.route("/api/stream")
|
||||
def api_stream():
|
||||
def event_stream():
|
||||
q = queue.Queue()
|
||||
with sse_lock: sse_subscribers.append(q)
|
||||
try:
|
||||
data = fetch_state()
|
||||
yield "data: " + json.dumps(data) + "\n\n"
|
||||
while True:
|
||||
try: msg = q.get(timeout=3); yield "data: " + msg + "\n\n"
|
||||
except queue.Empty:
|
||||
data = fetch_state()
|
||||
yield "data: " + json.dumps(data) + "\n\n"
|
||||
except GeneratorExit: pass
|
||||
finally:
|
||||
with sse_lock:
|
||||
if q in sse_subscribers: sse_subscribers.remove(q)
|
||||
return Response(stream_with_context(event_stream()), mimetype="text/event-stream",
|
||||
headers={"Cache-Control":"no-cache","X-Accel-Buffering":"no","Access-Control-Allow-Origin":"*"})
|
||||
|
||||
@app.route("/health")
|
||||
def health():
|
||||
return {"status":"healthy","service":"harness-dashboard"}
|
||||
|
||||
if __name__ == "__main__":
|
||||
app.run(host="0.0.0.0", port=3000, debug=False)
|
||||
@@ -0,0 +1,2 @@
|
||||
flask==3.1.*
|
||||
requests==2.32.*
|
||||
+66
-16
@@ -1,27 +1,77 @@
|
||||
version: '3.8'
|
||||
|
||||
services:
|
||||
queue-service:
|
||||
build: ./queue-service
|
||||
container_name: syslog-queue
|
||||
redis:
|
||||
image: redis:7-alpine
|
||||
container_name: harness-redis
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "8091:8091"
|
||||
- "127.0.0.1:6379:6379"
|
||||
volumes:
|
||||
- redis-data:/data
|
||||
command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
|
||||
healthcheck:
|
||||
test: ["CMD", "redis-cli", "ping"]
|
||||
interval: 10s
|
||||
timeout: 3s
|
||||
retries: 5
|
||||
|
||||
router:
|
||||
build: ./router
|
||||
container_name: harness-router
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "9000:9000"
|
||||
environment:
|
||||
- REDIS_HOST=192.168.68.7
|
||||
- REDIS_PORT=6379
|
||||
networks:
|
||||
- harness-net
|
||||
- REDIS_URL=redis://redis:6379
|
||||
- GPU_MOE_URL=http://192.168.68.15:8080/v1
|
||||
- GPU_DENSE_URL=http://192.168.68.8:8080/v1
|
||||
- GPU_LIGHT_URL=http://192.168.68.110:8080/v1
|
||||
depends_on:
|
||||
redis:
|
||||
condition: service_healthy
|
||||
|
||||
litellm:
|
||||
image: ghcr.io/berriai/litellm:main-stable
|
||||
command: ["--config", "/app/config.yaml", "--port", "4000"]
|
||||
container_name: harness-litellm
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "8081:4000"
|
||||
volumes:
|
||||
- ./litellm_config.yaml:/app/config.yaml
|
||||
environment:
|
||||
- LITELLM_MASTER_KEY=sk-syslog-local-master-key
|
||||
depends_on:
|
||||
redis:
|
||||
condition: service_healthy
|
||||
|
||||
nginx:
|
||||
image: nginx:alpine
|
||||
container_name: harness-nginx
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "80:80"
|
||||
volumes:
|
||||
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
|
||||
depends_on:
|
||||
- litellm
|
||||
- dashboard
|
||||
|
||||
dashboard:
|
||||
build: ./dashboard
|
||||
container_name: syslog-dashboard
|
||||
container_name: harness-dashboard
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "3001:3001"
|
||||
- "3000:3000"
|
||||
environment:
|
||||
- REDIS_URL=redis://redis:6379
|
||||
- GPU_SIDECARS=192.168.68.15:8090,192.168.68.8:8090,192.168.68.110:8090
|
||||
depends_on:
|
||||
- queue-service
|
||||
networks:
|
||||
- harness-net
|
||||
- redis
|
||||
|
||||
networks:
|
||||
harness-net:
|
||||
driver: bridge
|
||||
volumes:
|
||||
redis-data:
|
||||
|
||||
# LiteLLM command override to load config
|
||||
# (appended to fix config loading issue)
|
||||
|
||||
@@ -0,0 +1,25 @@
|
||||
model_list:
|
||||
- model_name: qwen3.6-35B-A3B
|
||||
litellm_params:
|
||||
model: openai/qwen3.6-35B-A3B
|
||||
api_base: http://192.168.68.15:8080/v1
|
||||
api_key: "not-needed"
|
||||
|
||||
- model_name: qwen3.6-27B-code
|
||||
litellm_params:
|
||||
model: openai/qwen3.6-27B-code-text
|
||||
api_base: http://192.168.68.8:8080/v1
|
||||
api_key: "not-needed"
|
||||
|
||||
- model_name: gemma-4-E4B
|
||||
litellm_params:
|
||||
model: openai/gemma-4-E4B
|
||||
api_base: http://192.168.68.110:8080/v1
|
||||
api_key: "not-needed"
|
||||
|
||||
general_settings:
|
||||
master_key: sk-syslog-local-master-key
|
||||
|
||||
litellm_settings:
|
||||
drop_params: true
|
||||
request_timeout: 120
|
||||
@@ -0,0 +1,79 @@
|
||||
worker_processes auto;
|
||||
error_log /var/log/nginx/error.log warn;
|
||||
pid /var/run/nginx.pid;
|
||||
|
||||
events { worker_connections 1024; }
|
||||
|
||||
http {
|
||||
include /etc/nginx/mime.types;
|
||||
default_type application/octet-stream;
|
||||
|
||||
log_format main launching rt=;
|
||||
access_log /var/log/nginx/access.log main;
|
||||
error_log /var/log/nginx/error.log;
|
||||
sendfile on;
|
||||
keepalive_timeout 65;
|
||||
|
||||
upstream router_api { server router:9000; }
|
||||
upstream dashboard_ui { server dashboard:3000; }
|
||||
upstream litellm_backend { server litellm:4000; }
|
||||
|
||||
server {
|
||||
listen 80;
|
||||
|
||||
# Disable buffering for SSE streams
|
||||
proxy_buffering off;
|
||||
|
||||
# API — through router
|
||||
location /v1/ {
|
||||
proxy_pass http://router_api;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
proxy_set_header Authorization $http_authorization;
|
||||
proxy_connect_timeout 10s;
|
||||
proxy_read_timeout 300s;
|
||||
proxy_buffering off;
|
||||
}
|
||||
|
||||
# SSE streaming endpoint
|
||||
location /stream {
|
||||
proxy_pass http://router_api;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header Connection "";
|
||||
proxy_buffering off;
|
||||
chunked_transfer_encoding off;
|
||||
}
|
||||
|
||||
# Dashboard API proxy for SSE
|
||||
location /api/ {
|
||||
proxy_pass http://dashboard_ui;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Host $host;
|
||||
proxy_buffering off;
|
||||
}
|
||||
|
||||
# LiteLLM debug
|
||||
location /litellm/ {
|
||||
rewrite ^/litellm/(.*) /$1 break;
|
||||
proxy_pass http://litellm_backend;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header Authorization $http_authorization;
|
||||
}
|
||||
|
||||
# Dashboard
|
||||
location / {
|
||||
proxy_pass http://dashboard_ui;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Host $host;
|
||||
proxy_buffering off;
|
||||
}
|
||||
|
||||
location /health {
|
||||
return 200 "{\"status\":\"healthy\"}";
|
||||
add_header Content-Type application/json;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,9 @@
|
||||
FROM python:3.12-slim
|
||||
|
||||
WORKDIR /app
|
||||
COPY requirements.txt .
|
||||
RUN pip install --no-cache-dir -r requirements.txt
|
||||
COPY router.py .
|
||||
|
||||
EXPOSE 9000
|
||||
CMD ["python", "router.py"]
|
||||
@@ -0,0 +1,3 @@
|
||||
flask==3.1.*
|
||||
redis==5.2.*
|
||||
requests==2.32.*
|
||||
@@ -0,0 +1,213 @@
|
||||
import os, json, time, logging, traceback, threading, queue
|
||||
import requests, redis
|
||||
from flask import Flask, request, jsonify, Response, stream_with_context
|
||||
|
||||
REDIS_URL = os.environ.get("REDIS_URL", "redis://redis:6379")
|
||||
GPU_MOE_URL = os.environ.get("GPU_MOE_URL", "http://192.168.68.15:8080/v1")
|
||||
GPU_DENSE_URL = os.environ.get("GPU_DENSE_URL", "http://192.168.68.8:8080/v1")
|
||||
GPU_LIGHT_URL = os.environ.get("GPU_LIGHT_URL", "http://192.168.68.110:8080/v1")
|
||||
|
||||
GPU_SIDECARS = {
|
||||
"qwen3.6-35B-A3B": "http://192.168.68.15:8090",
|
||||
"qwen3.6-27B-code": "http://192.168.68.8:8090",
|
||||
"gemma-4-E4B": "http://192.168.68.110:8090",
|
||||
}
|
||||
GPU_URLS = {
|
||||
"qwen3.6-35B-A3B": GPU_MOE_URL,
|
||||
"qwen3.6-27B-code": GPU_DENSE_URL,
|
||||
"gemma-4-E4B": GPU_LIGHT_URL,
|
||||
}
|
||||
TIER_MODELS = {
|
||||
"starter": ["gemma-4-E4B"],
|
||||
"professional": ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-E4B"],
|
||||
"enterprise": ["qwen3.6-35B-A3B", "qwen3.6-27B-code", "gemma-4-E4B"],
|
||||
}
|
||||
API_KEYS = {
|
||||
"sk-syslog-local-master-key": {"tier": "enterprise", "agent": "admin"},
|
||||
"sk-syslog-abiba": {"tier": "enterprise", "agent": "Abiba"},
|
||||
"sk-syslog-mumuni": {"tier": "enterprise", "agent": "Mumuni"},
|
||||
"sk-syslog-tanko": {"tier": "enterprise", "agent": "Tanko"},
|
||||
"sk-syslog-koby": {"tier": "enterprise", "agent": "Koby"},
|
||||
"sk-syslog-kagenz0": {"tier": "enterprise", "agent": "Kagenz0"},
|
||||
"sk-starter-abc123": {"tier": "starter", "agent": "test-starter"},
|
||||
"sk-professional-xyz789": {"tier": "professional", "agent": "test-pro"},
|
||||
}
|
||||
|
||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s [ROUTER] %(levelname)s %(message)s")
|
||||
log = logging.getLogger("router")
|
||||
try: r = redis.from_url(REDIS_URL, decode_responses=True); r.ping()
|
||||
except Exception: r = None
|
||||
|
||||
app = Flask(__name__)
|
||||
sse_subscribers = []; sse_lock = threading.Lock()
|
||||
|
||||
def check_gpu_health(model):
|
||||
url = GPU_SIDECARS.get(model)
|
||||
if not url: return {"status": "unknown"}
|
||||
try:
|
||||
resp = requests.get(url, timeout=5)
|
||||
if resp.status_code == 200:
|
||||
d = resp.json()
|
||||
pct = (d.get("vram_used_mb",0) / max(d.get("vram_total_mb",1), 1)) * 100
|
||||
return {"status": "healthy" if pct < 90 else "saturated", "vram_used_mb": d.get("vram_used_mb"), "vram_total_mb": d.get("vram_total_mb"), "vram_pct": round(pct,1), "temp_c": d.get("temp_c"), "gpu_util_pct": d.get("gpu_util_pct"), "gpu_name": d.get("gpu_name"), "power_w": d.get("power_w"), "power_limit_w": d.get("power_limit_w")}
|
||||
except Exception: pass
|
||||
return {"status": "down"}
|
||||
|
||||
def available_models(): return [m for m in GPU_URLS if check_gpu_health(m)["status"] in ("healthy","saturated")]
|
||||
|
||||
def estimate_tokens(msgs): return sum(len(str(m.get("content",""))) for m in msgs) // 4
|
||||
|
||||
def route(rd, tier):
|
||||
msgs = rd.get("messages",[]); t = estimate_tokens(msgs)
|
||||
sys = any(m.get("role")=="system" for m in msgs)
|
||||
turns = len([m for m in msgs if m.get("role") in ("user","assistant")])
|
||||
hints = rd.get("routing_hints",{})
|
||||
allowed = TIER_MODELS.get(tier, ["gemma-4-E4B"])
|
||||
avail = [m for m in available_models() if m in allowed]
|
||||
if not avail: return {"model": allowed[0], "reason": "all_saturated"}
|
||||
req = rd.get("model","auto")
|
||||
if req != "auto": return {"model": req if req in avail else avail[0], "reason": "explicit"}
|
||||
if hints:
|
||||
if hints.get("priority")=="speed" and "gemma-4-E4B" in avail: return {"model":"gemma-4-E4B","reason":"hint_speed"}
|
||||
if hints.get("priority")=="quality" and "qwen3.6-27B-code" in avail: return {"model":"qwen3.6-27B-code","reason":"hint_quality"}
|
||||
if t > 4000 or sys or turns > 6:
|
||||
for m in ["qwen3.6-27B-code","qwen3.6-35B-A3B","gemma-4-E4B"]:
|
||||
if m in avail: return {"model":m,"reason":"heavy_reasoning"}
|
||||
first_msg = msgs[0].get("content","") if msgs else ""
|
||||
words = len(first_msg.split()) if isinstance(first_msg, str) else 99
|
||||
if words <= 3 and turns <= 1 and not sys and "gemma-4-E4B" in avail:
|
||||
return {"model":"gemma-4-E4B","reason":"ultra_light"}
|
||||
if "qwen3.6-35B-A3B" in avail: return {"model":"qwen3.6-35B-A3B","reason":"default_moe"}
|
||||
return {"model":avail[0],"reason":"fallback"}
|
||||
|
||||
def clean_unicode(text):
|
||||
if not isinstance(text, str): return text
|
||||
return text.replace("\u2014","-").replace("\u2013","-").replace("\u2018",").replace(u2019,").replace("\u201c",').replace(u201d,').replace("\u2026","...").replace("\u00a0"," ")
|
||||
|
||||
def clean_response(d):
|
||||
if isinstance(d, dict): return {k: clean_response(v) for k,v in d.items()}
|
||||
if isinstance(d, list): return [clean_response(v) for v in d]
|
||||
if isinstance(d, str): return clean_unicode(d)
|
||||
return d
|
||||
|
||||
def get_metrics():
|
||||
d = {"gpus":[],"route_counts":{},"agent_counts":{},"tier_counts":{},"recent":[],"timestamp":time.time()}
|
||||
for m in GPU_URLS:
|
||||
h = check_gpu_health(m)
|
||||
d["gpus"].append({"id":m,"gpu_name":h.get("gpu_name",m),"status":h.get("status"),"vram_used_mb":h.get("vram_used_mb"),"vram_total_mb":h.get("vram_total_mb"),"vram_pct":h.get("vram_pct"),"temp_c":h.get("temp_c"),"gpu_util_pct":h.get("gpu_util_pct"),"power_w":h.get("power_w"),"power_limit_w":h.get("power_limit_w")})
|
||||
if r:
|
||||
try:
|
||||
for m in GPU_URLS: d["route_counts"][m] = int(r.get("routes:"+m) or 0)
|
||||
for k,v in API_KEYS.items():
|
||||
c = int(r.get("routes:agent:"+v["agent"]) or 0)
|
||||
if c>0: d["agent_counts"][v["agent"]] = c
|
||||
for t in TIER_MODELS: d["tier_counts"][t] = int(r.get("routes:tier:"+t) or 0)
|
||||
raw = r.lrange("routes:recent",0,49)
|
||||
d["recent"] = [json.loads(x) for x in raw] if raw else []
|
||||
except Exception: pass
|
||||
return d
|
||||
|
||||
def bcast():
|
||||
data = get_metrics(); payload = json.dumps(data)
|
||||
with sse_lock:
|
||||
dead = []
|
||||
for q in sse_subscribers:
|
||||
try: q.put(payload)
|
||||
except Exception: dead.append(q)
|
||||
for q in dead: sse_subscribers.remove(q)
|
||||
|
||||
@app.route("/v1/chat/completions", methods=["POST"])
|
||||
def chat():
|
||||
try:
|
||||
rd = request.get_json(force=True)
|
||||
ak = request.headers.get("Authorization","").replace("Bearer ","")
|
||||
ki = API_KEYS.get(ak, {"tier":"starter","agent":"unknown"})
|
||||
tier, agent = ki["tier"], ki["agent"]
|
||||
d = route(rd, tier); model, reason, url = d["model"], d["reason"], GPU_URLS[d["model"]]
|
||||
is_stream = rd.get("stream", False)
|
||||
log.info("ROUTE: %s -> %s (%s) stream=%s", agent, model, reason, is_stream)
|
||||
if r:
|
||||
try:
|
||||
r.incr("routes:"+model); r.incr("routes:tier:"+tier); r.incr("routes:agent:"+agent)
|
||||
r.incr("ts:"+model+":"+time.strftime("%Y%m%d%H"))
|
||||
r.lpush("routes:recent", json.dumps({"ts":time.time(),"model":model,"reason":reason,"tier":tier,"agent":agent}))
|
||||
r.ltrim("routes:recent",0,999)
|
||||
except Exception: pass
|
||||
start = time.time()
|
||||
resp = requests.post(url+"/chat/completions", json=rd,
|
||||
headers={"Content-Type":"application/json","Authorization":"Bearer not-needed"}, timeout=120, stream=is_stream)
|
||||
lat = int((time.time()-start)*1000)
|
||||
if resp.status_code != 200: return jsonify({"error":"GPU error "+str(resp.status_code)}), 502
|
||||
if is_stream:
|
||||
def gen():
|
||||
for raw in resp.iter_content(chunk_size=None, decode_unicode=True):
|
||||
if raw: yield clean_unicode(raw)
|
||||
bcast()
|
||||
return Response(stream_with_context(gen()), mimetype="text/event-stream")
|
||||
data = clean_response(resp.json())
|
||||
for c in data.get("choices",[]):
|
||||
msg = c.get("message",{})
|
||||
if not msg.get("content") and msg.get("reasoning_content"):
|
||||
msg["content"] = msg["reasoning_content"]
|
||||
data["routing"] = {"model":model,"reason":reason,"gpu":url,"tier":tier,"agent":agent,"latency_ms":lat}
|
||||
bcast()
|
||||
return jsonify(data)
|
||||
except requests.Timeout: return jsonify({"error":"timeout"}), 504
|
||||
except Exception as e:
|
||||
log.error("Error: %s\n%s", e, traceback.format_exc())
|
||||
return jsonify({"error":str(e)}), 500
|
||||
|
||||
@app.route("/v1/models")
|
||||
def models(): return jsonify({"object":"list","data":[{"id":m,"object":"model","owned_by":"syslog","status":check_gpu_health(m).get("status"),"gpu":check_gpu_health(m).get("gpu_name")} for m in GPU_URLS]})
|
||||
|
||||
@app.route("/health")
|
||||
def health(): return jsonify({"status":"healthy","redis":"connected" if r else "down","gpus":{m:check_gpu_health(m) for m in GPU_URLS},"available_models":available_models()})
|
||||
|
||||
@app.route("/metrics")
|
||||
def metrics(): return jsonify(get_metrics())
|
||||
|
||||
@app.route("/metrics/timeseries")
|
||||
def metrics_timeseries():
|
||||
period = request.args.get("period", "day"); models_list = list(GPU_URLS.keys())
|
||||
data = {"models": {}, "labels": []}
|
||||
if period == "day":
|
||||
buckets = [time.strftime("%Y%m%d%H", time.gmtime(time.time()-h*3600)) for h in range(23,-1,-1)]
|
||||
data["labels"] = [time.strftime("%H:00", time.gmtime(time.time()-h*3600)) for h in range(23,-1,-1)]
|
||||
elif period == "week":
|
||||
buckets = [time.strftime("%Y%m%d", time.gmtime(time.time()-d*86400)) for d in range(6,-1,-1)]
|
||||
data["labels"] = [time.strftime("%a", time.gmtime(time.time()-d*86400)) for d in range(6,-1,-1)]
|
||||
else:
|
||||
buckets = [time.strftime("%Y%m%d", time.gmtime(time.time()-d*86400)) for d in range(29,-1,-1)]
|
||||
data["labels"] = [time.strftime("%m/%d", time.gmtime(time.time()-d*86400)) for d in range(29,-1,-1)]
|
||||
if r:
|
||||
for model in models_list:
|
||||
counts = []
|
||||
for bucket in buckets:
|
||||
total = 0
|
||||
if period in ("week","month"):
|
||||
for hh in range(24): total += int(r.get("ts:"+model+":"+bucket+"{:02d}".format(hh)) or 0)
|
||||
else: total = int(r.get("ts:"+model+":"+bucket) or 0)
|
||||
counts.append(total)
|
||||
data["models"][model] = counts
|
||||
return jsonify(data)
|
||||
|
||||
@app.route("/stream")
|
||||
def stream():
|
||||
def ev():
|
||||
q = queue.Queue()
|
||||
with sse_lock: sse_subscribers.append(q)
|
||||
try:
|
||||
yield "data: "+json.dumps(get_metrics())+"\n\n"
|
||||
while True:
|
||||
try: yield "data: "+q.get(timeout=3)+"\n\n"
|
||||
except queue.Empty: yield "data: "+json.dumps(get_metrics())+"\n\n"
|
||||
except GeneratorExit: pass
|
||||
finally:
|
||||
with sse_lock:
|
||||
if q in sse_subscribers: sse_subscribers.remove(q)
|
||||
return Response(stream_with_context(ev()), mimetype="text/event-stream",
|
||||
headers={"Cache-Control":"no-cache","X-Accel-Buffering":"no","Access-Control-Allow-Origin":"*"})
|
||||
|
||||
if __name__ == "__main__":
|
||||
log.info("Router on :9000")
|
||||
app.run(host="0.0.0.0", port=9000, debug=False)
|
||||
Reference in New Issue
Block a user