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AI Cost & Inference Control
Vercel AI SDK integration

Vercel AI SDK cost tracking

AI SDK usage is app-native, but cost ownership still needs structure. Opsmeter maps endpoint and feature spend for operational decisions.

SDK-level analytics often miss endpoint and tenant granularity needed for budget control.

Why default tooling falls short

SDK-level analytics often miss endpoint and tenant granularity needed for budget control.

Feature accountability

Know which SDK-powered endpoint drives budget drift.

Tenant visibility

Separate healthy growth from margin-draining customer usage.

Fast containment

Move from alert to owner-ready action without manual log stitching.

Setup checklist

Step 1

Preserve request identity

Use one externalRequestId per user-visible operation even on retries.

Step 2

Send feature and endpoint keys

Include featureTag and endpointTag to connect SDK usage with product ownership.

Step 3

Ingest usage to Opsmeter

Post normalized usage payloads directly after model responses.

Example event mapping

FieldExample valueWhy it matters
featureTagassistant.draftMeasures cost by product feature, not only endpoint.
endpointTag/api/composeSupports endpoint-level budget controls.
tenantIdstartup-westEnables account-level margin analysis.
environmentprodSeparates test/demo usage from production posture.

How Opsmeter operationalizes this path

Capture SDK call metadata

Attach endpointTag, feature, tenant, and user identifiers with usage fields.

Send normalized ingest payload

Keep externalRequestId stable and include token/cost dimensions.

Review attribution dashboards

Investigate cost drivers by endpoint, prompt, tenant, and feature.

Ship attribution without gateway rewrites

No proxy rewrite required. Keep your current app path and enrich request metadata.