Opsmeter.io
AI Cost & Inference Control
AI cost control
Prevent LLM bill shock before month-end.
Find the deploy, endpoint, tenant, or prompt behind rising AI spend, then contain drift before month-end.
No proxy rewrites. Same app path, production-safe rollout.
Start free
Need setup proof?Open quickstart
Drift signalCurrent vs baseline and budget posture in one view
Owner contextEndpoint, prompt, tenant, and user attribution
Next moveOpen playbook and compare prompt impact quickly
First attribution signal in ~5 minutes. No proxy rewrites.
Live product snapshot
Telemetry activeTop driver: checkout.ai_summary
Current vs baseline
Daily drift+$2.455 +28.9%
Above the stable 7-day run rate after the latest prompt rollout.
Budget posture
Trigger armedWarning zone
$13.50 current / $12.00 trigger
Top cost drivers
- gpt-4o$2.046 · medium confidence
- checkout.ai_summary$0.917 · high latency
- summary prompt$0.540 · high output tokens
Prompt impact compare
summarizer_v3+$1.09
alerts_v3+$0.52
invoice_v2+$0.31
Live telemetry across
OpenAI Anthropic Azure OpenAI Google Gemini
No proxy rewrites · Direct metadata ingest
5 minMedian time to first attribution signal
Cross-providerOpenAI · Anthropic · Azure · Gemini + custom providers
4 layersEndpoint · Prompt · Tenant · User
0 proxyNo app traffic rerouted, ever
Trusted by production rollout teams
Catch drift early, assign owner context, and close actions before invoice week.
Investigate spike
Trace cost jumps to the exact deploy, endpoint, or prompt.
Compare prompt releases
See deltas side-by-side before drift compounds.
Enforce budget guardrails
Trigger warning windows in-time and route action to the right owner.
Why it matters
Small drift becomes invoice pressure faster than teams expect.
Catch regressions early, assign clear owners, and close fixes before budget posture degrades.
Prompt rollout drift
Compare release impact before cost-per-request shifts spread across tenants.
Latency and retry loops
Expose silent spend inflation caused by queue pressure and repeated calls.
Ownership-ready response
Route incidents with endpoint, tenant, and user context already attached.
Business impact
Outcomes teams can report in weekly ops reviews
Evidence for engineering, finance, and leadership without waiting for invoice week.
Detection speed
BeforeLate month
With Opsmeter.ioSame day
Catch shifts while rollback windows stay open.
Root-cause clarity
BeforeRaw totals only
With Opsmeter.ioDeploy-linked evidence
Tie drift to one change and one accountable owner.
Budget control window
BeforeWarning at invoice
With Opsmeter.ioIn-window warning
Act on warnings before spend compounds.
How it works
From first ingest to owner action in one controlled loop
Start with direct ingest, confirm attribution signals, and route cost deltas without changing app traffic flow.
Operator sequence
- InstrumentSend endpoint, model, latency, and token metadata from live calls.
- NormalizeMap spend into workspace, endpoint, prompt version, tenant, and user ownership.
- EnforceTrigger thresholds and route investigation to accountable owners fast.
Setup confidence
Deploy in minutes, keep one schema as usage scales
Start with direct ingest, then add SDK wrappers only where teams need deeper controls.
No proxy rolloutMedian first signal ~5mRetry-safe request IDs
Telemetry payload example
const externalRequestId = requestId; // keep same ID on retries
await fetch('https://api.opsmeter.io/v1/ingest/llm-request', {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'X-API-Key': OPSMETER_API_KEY },
body: JSON.stringify({
externalRequestId, provider: 'openai', model: 'gpt-4o-mini', promptVersion: 'summarizer_v3',
endpointTag: 'checkout.summary', inputTokens: 820, outputTokens: 204, totalTokens: 1024,
latencyMs: 812, status: 'success', dataMode: 'real', environment: 'prod'
})
});Featured guide
LLM Cost Attribution
Map spend to endpoint, prompt version, tenant, and user ownership before escalation loops start.
Read attribution guideRollout confidence
Control AI spend without sending sensitive payloads
Keep prompt bodies off ingest, preserve attribution accuracy, and review retention boundaries with procurement quickly.
Metadata-only ingest
Capture usage, latency, and model signals without sending prompt bodies.
Sensitive payload off-path
Attribution stays accurate using IDs and token metadata.
Explicit retention windows
Data-type retention boundaries are visible and reviewable.
Decision point
Launch a no-proxy cost control pilot before invoice week
Start ingest this week, assign clear cost owners, and lock budget posture before month-end pressure builds.
Owner-ready attribution from day one
Replace invoice-week surprises with continuous posture checks and accountable owner handoff.