Handle a Haiku 5.5 429 error

A Haiku 5.5 429 error indicates that the service handling your request is applying a rate limit. The immediate response is to reduce pressure and respect the service's retry guidance. Increasing the number of workers or resubmitting every pending item at once usually makes the incident last longer.

First identify the service that returned the error. A gateway can impose its own limits in addition to upstream model limits. A site's credit balance, a paid chat subscription and an API account's request capacity are different controls; purchasing one does not automatically change the others.

Inspect the rate-limit response

Capture the status, error type, request identifier and relevant rate-limit or retry headers. Keep a timestamp and the route used. Those details help distinguish a short burst from a workload that consistently exceeds the account's available capacity. Redact secrets and avoid logging the full prompt merely to investigate request volume.

Consult the official rate-limit documentation for the service you call. Do not copy a quota from another account tier and present it as the model's universal limit. Request frequency and token throughput can constrain different workloads, even when both use the same model.

Check whether multiple applications share the credential or organization allowance. A quiet web interface can still receive limits because a background import is using the same capacity. Coordinate at the scope where the provider enforces the limit, rather than assuming each process owns an independent quota.

Stop synchronized retries

When a Haiku 5.5 429 error reaches a worker, avoid an immediate retry loop. Honor documented server retry guidance where present, then apply bounded backoff with jitter under your application's policy. Jitter spreads attempts in time; it does not create additional capacity or make an oversized workload sustainable.

Set both an attempt limit and a total deadline. A request that is no longer useful to the user should not keep retrying indefinitely in the background. Record the final deferred or failed outcome so the interface can offer a deliberate next step instead of displaying a permanent spinner.

Inspect SDK retries before adding application retries. Two layers can multiply attempts in a way that is not obvious from either configuration alone. Choose an owner for retry timing, and include every actual upstream attempt in operational metrics.

Share backpressure across workers

A single worker slowing down is insufficient when the rest of the pool continues submitting at the original rate. Use a shared admission policy for requests that consume the same allowance. The policy can defer work before submission instead of asking the provider to reject it repeatedly.

For a Haiku 5.5 429 error during a bulk job, pause or reduce the eligible queue while preserving record identity. Do not discard the entire batch or create a second copy of every item. Recovery should resume unresolved work, with accepted results left intact.

Consider fairness between interactive and background tasks. A large import should not necessarily consume every available slot while people wait for short replies. Define separate priorities or reservations within your own application, while still respecting the provider's shared total capacity.

Check token pressure as well as request count

Ten short labels and ten long document analyses can place very different demands on token throughput. Measure complete inputs and actual outputs by task class. Reducing the number of requests may be insufficient if the remaining requests are much larger than the ones used to size the queue.

Do not respond by blindly cutting the output budget until answers become incomplete. First check whether prompts contain unnecessary repeated history, whether retrieval can narrow source material, and whether asynchronous work can be scheduled at a different time. Preserve the task's acceptance criteria while changing its load profile.

The rate-limits guide covers capacity planning in more detail. This page focuses on recovering an active incident; the two jobs need different time horizons and different evidence.

Preserve submission identity during recovery

A Haiku 5.5 429 error should not cause the browser to create a fresh business operation on every retry click. Keep the existing operation ID and its attempt history. The server decides whether another attempt is eligible, rather than accepting repeated clicks as unrelated paid tasks.

Distinguish a definite rate-limit response from an ambiguous network timeout. They provide different evidence about what happened upstream. Avoid applying a single refund or retry rule to every failure merely because the browser displays them in the same error area.

When a request eventually succeeds, settle its result once. A delayed worker and a user-triggered retry can race; use an authoritative completion transition so both cannot publish competing answers or deduct credits for the same application operation.

Confirm that recovery is sustainable

Observe a period of normal traffic after a Haiku 5.5 429 error subsides. Check queue age, rejection frequency and completed work, not just whether the next single request succeeded. A queue that grows steadily while errors temporarily disappear still has a capacity problem.

Test the recovery logic with synthetic rate-limit responses. Verify waiting behavior, maximum attempts, shared slowdown and cancellation of obsolete work. These checks can run without a live provider account and should not depend on deliberately overwhelming a real service.

If legitimate demand consistently exceeds your allowance, review the provider's documented capacity options or redesign the workload. Do not rotate accounts to evade restrictions. Keep the user informed of a concrete deferred state and preserve their input so they can resume without rebuilding the task from scratch.