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| 1 | +# LiteLLM Monitoring Setup - Quick Reference |
| 2 | + |
| 3 | +## Overview |
| 4 | +Complete monitoring infrastructure for LiteLLM multi-provider gateway using Prometheus, Grafana, and AlertManager. |
| 5 | + |
| 6 | +## ✅ Completed Setup |
| 7 | + |
| 8 | +### 1. Monitoring Stack Deployment |
| 9 | +```bash |
| 10 | +# Services Deployed on: |
| 11 | +- Prometheus: http://localhost:9090 |
| 12 | +- Grafana: http://localhost:3001 (user: admin, pass: admin) |
| 13 | +- AlertManager: http://localhost:9093 |
| 14 | +- Node Exporter: http://localhost:9100 |
| 15 | +- Postgres Exporter: http://localhost:9187 |
| 16 | +- Redis Exporter: http://localhost:9121 |
| 17 | +- Docker Exporter: http://localhost:9417 |
| 18 | +``` |
| 19 | + |
| 20 | +### 2. Grafana Dashboard |
| 21 | +**Location:** `/config/grafana/dashboards/litellm_dashboard.json` |
| 22 | + |
| 23 | +**Panels:** |
| 24 | +- LiteLLM Status (UP/DOWN indicator) |
| 25 | +- Request Rate (total requests vs errors) |
| 26 | +- P95 Latency (5-minute window) |
| 27 | +- Requests by Model (stacked bar chart) |
| 28 | +- Requests by Provider (time series) |
| 29 | +- Total Tokens Used (cumulative counter) |
| 30 | +- Total Cost USD (cumulative cost) |
| 31 | +- Error Rate (percentage) |
| 32 | + |
| 33 | +**Access:** |
| 34 | +```bash |
| 35 | +# Local access (port 3001 to avoid conflict with Lago) |
| 36 | +http://localhost:3001 |
| 37 | + |
| 38 | +# Via Traefik (production) |
| 39 | +https://grafana.kubeworkz.io |
| 40 | +``` |
| 41 | + |
| 42 | +**Default Credentials:** |
| 43 | +- Username: `admin` |
| 44 | +- Password: `admin` (change on first login) |
| 45 | + |
| 46 | +### 3. Prometheus Configuration |
| 47 | +**Location:** `/config/prometheus/prometheus.yml` |
| 48 | + |
| 49 | +**LiteLLM Scrape Jobs:** |
| 50 | +```yaml |
| 51 | +# LiteLLM proxy metrics (native Prometheus export) |
| 52 | +- job_name: 'litellm' |
| 53 | + scrape_interval: 10s |
| 54 | + static_configs: |
| 55 | + - targets: ['unicorn-litellm-wilmer:4000'] |
| 56 | + metrics_path: /metrics |
| 57 | + |
| 58 | +# LiteLLM usage metrics (custom backend endpoint) |
| 59 | +- job_name: 'litellm-usage' |
| 60 | + scrape_interval: 30s |
| 61 | + static_configs: |
| 62 | + - targets: ['ops-center-direct:8084'] |
| 63 | + metrics_path: /api/v1/llm/metrics |
| 64 | +``` |
| 65 | +
|
| 66 | +### 4. Alert Rules |
| 67 | +**Location:** `/config/prometheus/rules/litellm_alerts.yml` |
| 68 | + |
| 69 | +**Alert Groups (6 groups, 15 alerts):** |
| 70 | + |
| 71 | +#### A. Availability Alerts |
| 72 | +- **LiteLLMDown** (critical): Proxy down for 2+ minutes |
| 73 | +- **LiteLLMUnhealthy** (warning): Health check fails for 5+ minutes |
| 74 | + |
| 75 | +#### B. Performance Alerts |
| 76 | +- **LiteLLMHighLatency** (warning): P95 latency > 10s for 10 minutes |
| 77 | +- **LiteLLMHighErrorRate** (warning): Error rate > 5% for 5 minutes |
| 78 | +- **LiteLLMCriticalErrorRate** (critical): Error rate > 20% for 2 minutes |
| 79 | + |
| 80 | +#### C. Usage Alerts |
| 81 | +- **LiteLLMHighRequestRate** (warning): > 100 req/s for 10 minutes (abuse detection) |
| 82 | +- **LiteLLMTokenLimitApproaching** (info): > 1M tokens used in 1 hour |
| 83 | +- **LiteLLMModelFailures** (warning): Model error rate > 10% for 5 minutes |
| 84 | + |
| 85 | +#### D. Cost Alerts |
| 86 | +- **LiteLLMHighDailyCost** (warning): Daily cost > $100 |
| 87 | +- **LiteLLMCostSpike** (warning): Cost increases 2x vs previous hour for 15 minutes |
| 88 | + |
| 89 | +#### E. Database Alerts |
| 90 | +- **LiteLLMDatabasePoolExhausted** (critical): All DB connections active for 5 minutes |
| 91 | +- **LiteLLMSlowDatabaseQueries** (warning): P95 query time > 1s for 10 minutes |
| 92 | + |
| 93 | +#### F. Provider Alerts |
| 94 | +- **LiteLLMGroqProviderDown** (critical): Groq failure rate > 90% for 5 minutes |
| 95 | +- **LiteLLMProviderRateLimited** (warning): > 10 rate limit errors in 5 minutes |
| 96 | +
|
| 97 | +### 5. Monitoring Script |
| 98 | +**Location:** `/scripts/monitor_litellm.sh` |
| 99 | + |
| 100 | +**Features:** |
| 101 | +- Container status check |
| 102 | +- Health endpoint validation |
| 103 | +- Model availability verification |
| 104 | +- Database connectivity test |
| 105 | +- Performance metrics (CPU, memory, network) |
| 106 | +- Live inference test |
| 107 | +- Active alerts summary |
| 108 | + |
| 109 | +**Usage:** |
| 110 | +```bash |
| 111 | +# Run once |
| 112 | +./scripts/monitor_litellm.sh |
| 113 | +
|
| 114 | +# Run continuously (every 30s) |
| 115 | +watch -n 30 ./scripts/monitor_litellm.sh |
| 116 | +``` |
| 117 | + |
| 118 | +## 📊 Key Metrics |
| 119 | + |
| 120 | +### LiteLLM Native Metrics (expected but NOT YET AVAILABLE) |
| 121 | +``` |
| 122 | +# Request metrics |
| 123 | +litellm_requests_total # Total requests counter |
| 124 | +litellm_request_errors_total # Total errors counter |
| 125 | +litellm_request_duration_seconds # Latency histogram |
| 126 | + |
| 127 | +# Model metrics |
| 128 | +litellm_model_requests_total{model="..."} # Requests per model |
| 129 | +litellm_model_errors_total{model="..."} # Errors per model |
| 130 | + |
| 131 | +# Token metrics |
| 132 | +litellm_tokens_used_total # Total tokens consumed |
| 133 | +litellm_prompt_tokens_total # Prompt tokens |
| 134 | +litellm_completion_tokens_total # Completion tokens |
| 135 | + |
| 136 | +# Cost metrics |
| 137 | +litellm_total_cost_usd # Total cost in USD |
| 138 | + |
| 139 | +# Provider metrics |
| 140 | +litellm_provider_requests_total{provider="groq"} # Requests per provider |
| 141 | +litellm_provider_errors_total{provider="groq"} # Errors per provider |
| 142 | +``` |
| 143 | +
|
| 144 | +### Backend Custom Metrics (TO BE IMPLEMENTED) |
| 145 | +``` |
| 146 | +# Usage analytics from database |
| 147 | +llm_credits_used_total{tenant_id="..."} # Credits consumed per tenant |
| 148 | +llm_requests_by_model{model="..."} # Historical request counts |
| 149 | +llm_cost_by_tenant{tenant_id="..."} # Cost tracking per tenant |
| 150 | +llm_response_time_seconds{model="..."} # Response time histograms |
| 151 | +``` |
| 152 | +
|
| 153 | +## 🚨 Monitoring Stack Management |
| 154 | +
|
| 155 | +### Start Monitoring |
| 156 | +```bash |
| 157 | +docker-compose -f docker-compose.monitoring.yml up -d |
| 158 | +``` |
| 159 | + |
| 160 | +### Stop Monitoring |
| 161 | +```bash |
| 162 | +docker-compose -f docker-compose.monitoring.yml down |
| 163 | +``` |
| 164 | + |
| 165 | +### View Logs |
| 166 | +```bash |
| 167 | +# Prometheus |
| 168 | +docker logs ops-center-prometheus -f |
| 169 | + |
| 170 | +# Grafana |
| 171 | +docker logs ops-center-grafana -f |
| 172 | + |
| 173 | +# AlertManager |
| 174 | +docker logs ops-center-alertmanager -f |
| 175 | +``` |
| 176 | + |
| 177 | +### Restart Services |
| 178 | +```bash |
| 179 | +# Restart all monitoring |
| 180 | +docker-compose -f docker-compose.monitoring.yml restart |
| 181 | + |
| 182 | +# Restart specific service |
| 183 | +docker restart ops-center-prometheus |
| 184 | +docker restart ops-center-grafana |
| 185 | +``` |
| 186 | + |
| 187 | +## 🔧 Configuration Updates |
| 188 | + |
| 189 | +### Reload Prometheus Config (no restart needed) |
| 190 | +```bash |
| 191 | +curl -X POST http://localhost:9090/-/reload |
| 192 | +``` |
| 193 | + |
| 194 | +### Add New Alert Rules |
| 195 | +1. Edit `/config/prometheus/rules/litellm_alerts.yml` |
| 196 | +2. Reload Prometheus: |
| 197 | + ```bash |
| 198 | + curl -X POST http://localhost:9090/-/reload |
| 199 | + ``` |
| 200 | +3. Verify rules loaded: |
| 201 | + ```bash |
| 202 | + curl -s http://localhost:9090/api/v1/rules | jq '.data.groups[] | .name' |
| 203 | + ``` |
| 204 | + |
| 205 | +### Import New Grafana Dashboard |
| 206 | +1. Place JSON file in `/config/grafana/dashboards/` |
| 207 | +2. Restart Grafana: |
| 208 | + ```bash |
| 209 | + docker restart ops-center-grafana |
| 210 | + ``` |
| 211 | + |
| 212 | +## 🎯 Current Status |
| 213 | + |
| 214 | +✅ **Operational:** |
| 215 | +- Prometheus scraping 7 exporters |
| 216 | +- Grafana dashboard created |
| 217 | +- 15 alert rules configured and loaded |
| 218 | +- Monitoring script functional |
| 219 | +- All monitoring containers running |
| 220 | + |
| 221 | +⚠️ **Pending:** |
| 222 | +- **LiteLLM native metrics not exposed** - `/metrics` endpoint returns 404 |
| 223 | + * Need to enable Prometheus exporter in LiteLLM config |
| 224 | + * May require setting `LITELLM_ENABLE_PROMETHEUS=true` environment variable |
| 225 | + * Alternative: Use LiteLLM database logging and export metrics from backend |
| 226 | + |
| 227 | +- **Backend metrics endpoint not implemented** - `/api/v1/llm/metrics` doesn't exist |
| 228 | + * Need to create FastAPI route in backend |
| 229 | + * Query litellm_db for usage statistics |
| 230 | + * Export as Prometheus format (counter/gauge/histogram) |
| 231 | + |
| 232 | +- **AlertManager configuration needed** - Currently restarting |
| 233 | + * Need to configure `/config/alertmanager/alertmanager.yml` |
| 234 | + * Set up notification channels (email, Slack, webhook) |
| 235 | + * Define routing rules for alert severity |
| 236 | + |
| 237 | +## 🔍 Troubleshooting |
| 238 | + |
| 239 | +### Check Scrape Targets |
| 240 | +```bash |
| 241 | +# View all targets |
| 242 | +curl -s http://localhost:9090/api/v1/targets | jq '.data.activeTargets[] | {job: .labels.job, health: .health, error: .lastError}' |
| 243 | + |
| 244 | +# View only LiteLLM targets |
| 245 | +curl -s http://localhost:9090/api/v1/targets | jq '.data.activeTargets[] | select(.labels.job | contains("litellm"))' |
| 246 | +``` |
| 247 | + |
| 248 | +### Test Metrics Endpoint |
| 249 | +```bash |
| 250 | +# Test LiteLLM native metrics (currently 404) |
| 251 | +curl http://localhost:4000/metrics |
| 252 | + |
| 253 | +# Test backend custom metrics (not implemented) |
| 254 | +curl http://localhost:8084/api/v1/llm/metrics |
| 255 | +``` |
| 256 | + |
| 257 | +### Query Prometheus |
| 258 | +```bash |
| 259 | +# Check if metrics exist |
| 260 | +curl -s 'http://localhost:9090/api/v1/label/__name__/values' | jq '.data[] | select(contains("litellm"))' |
| 261 | + |
| 262 | +# Query specific metric |
| 263 | +curl -s 'http://localhost:9090/api/v1/query?query=up{job="litellm"}' | jq . |
| 264 | +``` |
| 265 | + |
| 266 | +### View Active Alerts |
| 267 | +```bash |
| 268 | +# All active alerts |
| 269 | +curl -s http://localhost:9090/api/v1/alerts | jq '.data.alerts[] | {alert: .labels.alertname, state: .state, value: .value}' |
| 270 | + |
| 271 | +# Only firing alerts |
| 272 | +curl -s http://localhost:9090/api/v1/alerts | jq '.data.alerts[] | select(.state=="firing")' |
| 273 | +``` |
| 274 | + |
| 275 | +## 📝 Next Steps |
| 276 | + |
| 277 | +### Priority 1: Enable LiteLLM Metrics |
| 278 | +1. Check LiteLLM documentation for Prometheus export |
| 279 | +2. Update environment variables or config to enable metrics |
| 280 | +3. Verify `/metrics` endpoint responds with Prometheus format |
| 281 | +4. Confirm Prometheus can scrape the endpoint |
| 282 | + |
| 283 | +### Priority 2: Implement Backend Metrics Endpoint |
| 284 | +1. Create `/api/v1/llm/metrics` route in backend |
| 285 | +2. Query `litellm_db` for: |
| 286 | + - Total requests (from `llm_transactions`) |
| 287 | + - Credits used (from `llm_credits`) |
| 288 | + - Response times (from `llm_transactions`) |
| 289 | + - Error counts (from `llm_transactions` WHERE status='error') |
| 290 | +3. Format as Prometheus metrics: |
| 291 | + ```python |
| 292 | + from prometheus_client import generate_latest, Counter, Histogram, Gauge |
| 293 | + |
| 294 | + # Example metrics |
| 295 | + llm_requests = Counter('llm_requests_total', 'Total LLM requests', ['model', 'tenant']) |
| 296 | + llm_credits = Counter('llm_credits_used_total', 'Total credits used', ['tenant']) |
| 297 | + llm_latency = Histogram('llm_response_time_seconds', 'LLM response time', ['model']) |
| 298 | + ``` |
| 299 | + |
| 300 | +### Priority 3: Configure AlertManager |
| 301 | +1. Create `/config/alertmanager/alertmanager.yml` |
| 302 | +2. Configure notification receivers: |
| 303 | + - Email for critical alerts |
| 304 | + - Slack for warnings |
| 305 | + - Webhook for custom integrations |
| 306 | +3. Set up routing based on severity and alert group |
| 307 | +4. Test alert delivery |
| 308 | + |
| 309 | +### Priority 4: Additional Dashboards |
| 310 | +1. Create provider-specific dashboards (Groq, HuggingFace, local) |
| 311 | +2. Add cost analysis dashboard |
| 312 | +3. Create tenant usage dashboard |
| 313 | +4. Build capacity planning dashboard |
| 314 | + |
| 315 | +## 📚 Resources |
| 316 | + |
| 317 | +- Prometheus Docs: https://prometheus.io/docs/ |
| 318 | +- Grafana Docs: https://grafana.com/docs/ |
| 319 | +- LiteLLM Docs: https://docs.litellm.ai/ |
| 320 | +- Prometheus Query Examples: https://prometheus.io/docs/prometheus/latest/querying/examples/ |
| 321 | + |
| 322 | +## 🔐 Security Notes |
| 323 | + |
| 324 | +1. **Change Grafana default password immediately** |
| 325 | + ```bash |
| 326 | + # Access http://localhost:3001 |
| 327 | + # Login with admin/admin |
| 328 | + # You'll be prompted to change password |
| 329 | + ``` |
| 330 | + |
| 331 | +2. **Restrict Prometheus access** - Currently open on port 9090 |
| 332 | + - Use Traefik auth middleware in production |
| 333 | + - Or restrict to internal network only |
| 334 | + |
| 335 | +3. **Protect metrics endpoints** - Ensure LiteLLM metrics require authentication |
| 336 | + - Set `LITELLM_MASTER_KEY` requirement for metrics endpoint |
| 337 | + - Use network policies to restrict scraper access |
| 338 | + |
| 339 | +4. **AlertManager webhook security** - Use signed payloads for webhooks |
| 340 | + - Configure HMAC signatures |
| 341 | + - Validate webhook sources |
| 342 | + |
| 343 | +## 📞 Support |
| 344 | + |
| 345 | +For monitoring issues: |
| 346 | +1. Check monitoring script output: `./scripts/monitor_litellm.sh` |
| 347 | +2. Review Prometheus targets: http://localhost:9090/targets |
| 348 | +3. Check container logs: `docker logs ops-center-prometheus` |
| 349 | +4. Verify alert rules: http://localhost:9090/rules |
| 350 | + |
| 351 | +--- |
| 352 | + |
| 353 | +**Last Updated:** 2026-02-13 |
| 354 | +**Version:** 1.0 |
| 355 | +**Status:** Monitoring stack deployed, metrics endpoints pending implementation |
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