What happened to this call?
Search by request ID and inspect the requested model, resolved route, provider, region, status, token counts, cost, cache state, and timing.
When an AI request is slow, costly, or fails, a model name is not enough. LLMRegistry connects each request ID to its route, provider, token use, cost, timing, cache result, and final outcome.
The monitoring view uses completed request and provider evidence. Empty periods stay empty instead of being presented as perfect delivery.
Search by request ID and inspect the requested model, resolved route, provider, region, status, token counts, cost, cache state, and timing.
Compare observed request counts, delivery percentage, time to first token, fallback count, traffic share, and current circuit state.
Connect provider cost, platform charges, cache outcomes, model races, and route choices to one request instead of comparing separate reports.
Each chart and detail view should name the thing it actually measured.
The gateway returns a request identifier that can connect an application error to the matching ledger row and provider result.
The ledger shows the route, model, provider mode, region, fallback count, and cache or race result that produced the final outcome.
Time to first token shows when output began. Total response time shows the full gateway round trip. The interface does not relabel one as the other.
If a signal is not measured or configured, LLMRegistry shows it as unknown or unavailable instead of creating sample success data.
Troubleshooting usually needs the path and outcome, not the customer’s exact words.
Use one request ID to follow routing, provider work, usage, and cost without turning monitoring into a content store.
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