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Why LLM Gateways Fail: Four On-Call Incidents and What to Do

A practical on-call guide to distinguishing LLM gateway rate limits, streaming timeouts, provider retries and fallback, and gateway overload—with a bounded diagnostic sequence.
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When an LLM gateway starts failing, first distinguish the error’s source: a quota or rate limit, a gateway overload, an upstream timeout, or a provider failure that triggered retries or fallback. These four patterns are useful on-call categories—not a statistically proven ranking of the most frequent incidents. Preserve the original response and reconstruct each provider attempt before changing traffic or routing.

Why am I getting 429 errors from my LLM gateway?

HTTP 429 does not identify one universal limit. Depending on the gateway and provider, it can mean an organization request limit, a provider or model cap, a spending limit, or an upstream provider’s rate limit. Check the response body and relevant headers before deciding which limit has been reached. LLMGateway documents upstream rate limits as provider errors that may qualify for retry or fallback depending on routing configuration and available providers; its documentation distinguishes those from its transient overload response, HTTP 529. LLMGateway’s rate-limit documentation

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Mitigate the limit that is actually binding

  • Identify whether the constraint belongs to the organization, model, provider, spending policy, or gateway route.
  • Reduce bursts or concurrency if requests are arriving too quickly or accumulating in flight.
  • Honor Retry-After when the response supplies a valid value. If it does not, use bounded exponential backoff with jitter.
  • Set both a maximum retry count and a maximum total retry duration. OpenAI’s troubleshooting guidance likewise recommends limiting retries and overall retry time. OpenAI’s API rate-limit troubleshooting

Why did my streaming response time out?

A timeout may end a generation while tokens are still arriving. LLMGateway describes its timeout as a total-duration limit rather than an idle timer, and says the limit applies to each upstream attempt. A retry or fallback begins a new attempt window, so the request’s end-to-end duration can exceed the timeout for one attempt. LLMGateway’s timeout documentation

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Separate a failed start from a broken stream

If the request fails before the client receives output, the gateway may be able to retry or route another attempt, subject to its rules. If output has already started, a later stream error is different: replaying the request transparently could duplicate or conflict with content the client has already consumed. LLMGateway documents that a later streaming error ends the stream rather than transparently replaying it. LLMGateway’s routing documentation

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For diagnosis, capture request and attempt start and end times, provider and model, time to first token, retry count, stream termination state, and whether a final stream chunk arrived. These are useful fields to collect where available, not a guarantee that every gateway exposes them.

Why did the gateway retry or switch providers?

Retries and fallback depend on the error class and routing mode. LLMGateway documents retries for selected provider- or gateway-side failures, including some 5xx responses, timeouts, connection failures, upstream 429s, and certain provider account or mapping problems. It says genuine client errors such as invalid requests are not retried. Its routing documentation also notes two important boundaries: sticky routing can bypass cross-provider fallback, and a stream error after output reaches the client ends that stream rather than triggering a transparent replay. These are documented behaviors for that product, not universal gateway rules. LLMGateway’s routing documentation

Inspect the attempt chain, not just the final result

A successful final response can hide failed provider attempts. Record the error classification, attempt count, provider selected for each hop, credential source where exposed, and whether output had already been committed to the client. Compare the raw attempt errors with the final client response before concluding that the original provider recovered.

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What does a 529 gateway overloaded error mean?

In LLMGateway’s documented behavior, HTTP 529 indicates transient gateway overload and is distinct from a quota-related 429. The documentation recommends honoring Retry-After for this response. Do not assume that 529 has the same meaning across gateways; status-code behavior is implementation-specific. LLMGateway’s rate-limit documentation

When slow upstreams create gateway pressure

Slow provider responses can leave more inference calls in flight at once, increasing concurrency pressure. Correlate overload responses with active in-flight requests, upstream latency, concurrency, and provider-specific error rates. Unbounded retries can add load precisely when the gateway is struggling; shape traffic, investigate slow upstreams, and keep both retry attempts and total retry time bounded.

How should an on-call responder investigate a gateway incident?

  1. Preserve the evidence. Save the original status, response body, headers, request ID, timestamp, model, and provider mapping before retrying manually or changing configuration.
  2. Classify the failure. Decide whether it is invalid client input, a gateway-enforced limit or overload, an upstream provider error, a timeout, or an interruption after streaming began.
  3. Reconstruct each attempt. Separate the final client response from individual provider attempts. Note which provider handled each attempt, the error at each hop, retry count, and whether output had reached the client before failure.
  4. Compare routes and error groups. Check the failing provider/model mapping against viable alternatives, then compare errors by mapping and by error type. LLMGateway describes incident views that include error counts and rates, upstream-versus-gateway distinctions, status, stream state, and retry details. LLMGateway’s incident-view documentation
  5. Apply one bounded mitigation. Reduce bursts or concurrency, honor retry guidance, change routing only if an alternative is viable, or roll back a recent configuration change. Reassess both success rate and latency after the change.
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How should you compare providers or routes during an incident?

Compare routes only when there is a viable alternative, and use operational evidence rather than a general vendor ranking. These dimensions help separate a genuine recovery option from a route that merely shifts the failure:

  • Error class and observed availability for the affected workload.
  • Latency and timeout behavior, including time to first token and stream completion.
  • Rate-limit and quota headroom for the model and provider.
  • Streaming and tool compatibility required by the request.
  • Fallback eligibility and retry boundaries for the route.
  • Visibility into individual provider hops and attempt-level errors.

These are diagnostic comparison criteria, not the results of a comparative performance test. Product-specific routing, timeout, and rate-limit behavior should be checked in the relevant documentation. Rate limits · Timeouts · Routing

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