The Tool Desk
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Build the retry policy around the call deadline
A retry policy should wrap one provider operation and answer four questions: which failures are temporary, how long to wait, how much retry time is available, and what happens when the budget runs out. Count the initial request as an attempt. Set a maximum number of attempts and a maximum elapsed retry duration based on the endpoint’s latency and the user-facing interaction; there is no universal attempt count or delay that suits every voice AI call.
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Keep an overall operation deadline separate from a per-attempt timeout. The per-attempt timeout limits how long one request can occupy a connection; the overall deadline limits the entire operation, including waits and retries. Stop when either budget is exhausted, and honor cancellation from the caller or parent operation.
Classify the failure before retrying
Do not treat every HTTP 429 as permission to retry. Check the status together with the provider’s error code and message. A 429 can signal rate limiting, exhausted concurrency, or a quota or billing issue. Authentication, permissions, malformed requests, and validation failures generally require a correction or account action rather than another identical request.
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- Temporary throttling or overload: Retry only when the provider’s error details indicate the condition may clear. Reduce request rate or concurrency where appropriate.
- Quota, billing, authentication, or invalid input: Do not repeat the same request automatically; surface the issue to the caller or account owner, or correct the request.
- Timeout or connection failure: Determine whether the operation might already have completed before retrying. Duplicate-work risk depends on the endpoint’s semantics.
OpenAI distinguishes temporary rate limiting from quota, billing, and usage-limit errors in its error-code guidance. Its rate-limit guidance also notes that unsuccessful requests still count toward per-minute limits, so repeated failed attempts can worsen throttling.
Apply Retry-After first, then exponential backoff with jitter
- Inspect the response. Evaluate the status and provider-specific error details against an explicit retryable-error predicate.
- Honor a valid server delay. If the response includes a valid
Retry-After, do not retry before that minimum. Add a small random delay after the minimum to avoid clients waking together. OpenAI explicitly recommends treating the value as a minimum and adding random delay. - Use exponential backoff when there is no usable hint. Increase the wait after each failed attempt, cap it at an application-defined maximum, and add random jitter. A common shape is
min(cap, base × 2retryIndex)plus a random component; choose the jitter range and cap for the endpoint’s latency budget. - Check the remaining budget before sleeping. If the required wait would exceed the overall deadline, maximum retry duration, or application-supported maximum, stop or defer the operation. Do not retry earlier merely to fit the call deadline.
- Retry only if another attempt is allowed. Recheck cancellation and the overall deadline before starting the next request.
In language-neutral pseudocode, the control flow is:
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deadline = operation_start + overall_budget
attempt = 0
while attempt < max_attempts and not cancelled():
if now() >= deadline:
break
response = send_request(timeout = per_attempt_timeout)
attempt += 1
if response.succeeded:
return response
if not is_retryable(response.status, response.provider_error):
return handle_failure(response)
server_wait = valid_retry_after(response)
if server_wait exists:
wait = server_wait + small_random_jitter()
else:
wait = capped_exponential_delay(attempt) + random_jitter()
if wait exceeds policy_limit or now() + wait >= deadline:
break
sleep(wait, cancellation_signal)
return handle_deadline_or_exhaustion()This describes the policy, not a provider SDK’s exact interface. Ensure the delay calculation cannot exceed the remaining time or overflow when the retry index grows.
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Provider behavior is not interchangeable
| Provider | Documented condition | Practical response |
|---|---|---|
| OpenAI | Temporary 429 slow_down indicates the request rate should be reduced; temporary 503 server_is_overloaded may be retried. Quota, billing, and usage-limit errors need account or user action. See rate limits and error codes. |
Follow Retry-After when supplied for temporary conditions; if the hint is missing or invalid, use exponential backoff with jitter. If overload continues, use longer delays within the call’s budget. Confirm whether the installed SDK already retries eligible 429 and 503 responses. |
| ElevenLabs | A 429 may mean a request-rate limit or a concurrency limit. The documentation recommends exponential backoff for rate limiting. See ElevenLabs API errors. | Check the error code and endpoint behavior. For a concurrency limit, let current requests complete and control parallel work rather than launching more concurrent retries. |
| Twilio | The REST best-practices documentation recommends exponential backoff for 429 errors caused by concurrency limits and high usage. The specific 20429 reference says those 429 requests were not processed and are safe to retry after backing off. See REST API best practices and error 20429. | Apply the guidance to the documented 429/20429 case, and use queues or throttling to reduce concurrent traffic. Do not generalize that retry-safety statement to other providers or failures. |
Prevent nested retries and duplicate work
An SDK, proxy, and application wrapper may each retry independently. Their attempts can multiply: a wrapper making several calls to an SDK that itself makes several attempts can exceed the intended budget. Check the installed SDK version and retry configuration; disable its retries where supported, or account for and observe them in the operation’s total attempt and time limits. Behavior for long server-specified delays can vary by SDK version and configuration.
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Before retrying after a timeout, consider whether the server may have completed the request even though the client did not receive the response. A read-only generation request and an operation that creates or changes a durable resource have different duplicate-work risks. Consult the endpoint’s idempotency and request semantics; there is no universal idempotency guarantee established across the providers here.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Reduce throttling instead of relying on retries
Backoff reduces pressure from retries, and jitter spreads those retries across time. Neither creates additional provider capacity. Use pacing, queues, and concurrency limits to shape demand before requests reach the provider. For a concurrency limit, avoid replacing an in-flight request with a burst of parallel retries; let active work finish and release capacity.
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When choosing a retry library or implementing the policy yourself, verify that it:
- honors
Retry-After, including delays longer than its usual backoff cap; - supports an appropriate jitter strategy and maximum delay;
- limits both attempts and total elapsed time;
- allows provider-specific error classification;
- makes SDK retries observable or configurable; and
- supports cancellation and operation deadlines.
Observe retries without logging sensitive content
Record retry count, error class, chosen delay, whether the delay came from Retry-After, and whether the operation ended because of a deadline or exhausted attempts. Keep speech content, credentials, and other sensitive data out of retry logs. These signals help distinguish a transient provider problem from sustained excess request rate, concurrency pressure, or an overly tight call deadline.
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