No collectors to operate, no query language to learn. Instrument once, and SentriNode handles ingestion, analysis, prediction, and the fix.
Add the SDK to your app — two lines for Python or Node, or point any OpenTelemetry client at our endpoint. Your services and LLM calls start streaming spans instantly.
We compute live latency (p50/p95), error rates, throughput, and LLM cost per model — and run anomaly detection across every service in real time.
SentriNode warns you before an incident breaks, lets you replay exactly how it happened, and hands you the root cause, a Jira ticket, and the commands to run.
Most tools show you a graph and leave the thinking to you. SentriNode does the thinking.
Per-model spend, tokens, and latency — so the call that quietly costs 15× as much stops hiding in your bill.
A trend forecast that warns you a breach is coming, names the culprit service, and gives you an ETA — before the page fires.
Scrub any incident frame by frame. Watch the latency spike build and the failure cascade, exactly as it happened.
AI root cause + a filled-in Jira ticket + the exact diagnostic commands, generated from the live anomaly.
Model traffic spikes, added latency, or extra capacity against your real baseline — and see the projected impact and cost.
Recommendations on what to sample or drop, with savings estimates, so you ingest only what's worth paying for.
SentriNode reads OpenTelemetry GenAI spans, so anything already emitting them works without adopting our SDK. Costs are computed server-side from the model and token counts — you do not have to send a price.
LangChain, LlamaIndex, OpenLLMetry, Traceloop, LiteLLM and the Vercel AI SDK all spell these attributes differently. All of them are read.
Anthropic, OpenAI, Google, Meta Llama, Mistral, Cohere, DeepSeek and xAI — including provider-prefixed ids from OpenRouter and Bedrock. Override any price without a redeploy.
Point an OpenTelemetry Collector at the same endpoint for CPU, memory, disk and network. Works on Linux, macOS and Windows.
Setup instructions → Limits & throughput
An unknown model still records tokens and latency — it is reported as unpriced rather than free, so nothing silently reads as zero.