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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchA 429 response means a provider has refused a request because a limit or temporary condition was reached—but it does not, by itself, tell you which one. The cause might be request or token volume, concurrent jobs, a burst of call starts, service load, or an exhausted credit or spending allowance. Read the response body and headers first; then choose whether to pace traffic, retry, or change an account setting.
What a 429 means for a voice AI integration
HTTP 429 is a signal to diagnose, not a universal diagnosis. Providers use it for different constraints, and some use it for account conditions that retries cannot fix. Even within one provider, an error code or message can distinguish temporary throttling from a depleted balance or a spend cap.
Identify the unit and scope of the limit. A service might limit requests per minute (RPM), tokens per minute (TPM), audio or image use, simultaneous requests or jobs, endpoint throughput, or account spending and credits. These are separate constraints: staying below one does not guarantee that another is available.
A minute-level average can also hide a short burst. A service may enforce limits over shorter intervals, so a burst can be rejected even if the total for the whole minute appears acceptable. Voice workloads add their own pressure points, such as concurrent sessions, rapid outbound call starts, repeated status polling, or frequent SDK operations.
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Diagnose the error before changing traffic or billing
- Capture the response and request context. Record the HTTP status, exact error message and code, request ID, timestamp with timezone, endpoint or model, and the organization, project, or account used. Never include an API key in logs shared with others.
- Read server hints. Look for a valid
Retry-Aftervalue and provider-specific headers. OpenAI documents headers that can report request or token limits, remaining capacity, reset windows, and—in relevant cases—how long to wait. Twilio’sTwilio-Concurrent-Requestsheader reports current account concurrency. Header names and meanings are provider-specific; do not assume one provider’s conventions apply to another. - Match the error code to the likely cause. Check whether it indicates transient rate limiting, service load, concurrency, or a credit or spending limit. Then establish the relevant scope: account, organization, project, model family, endpoint, subscription, or voice operation.
- Check current limits in the provider dashboard and documentation. Limits may depend on plan, model, endpoint, or account configuration. Confirm that the request is using the intended organization or project before asking for a higher limit.
- Look for traffic patterns that can be reduced. Compare request timing with failures. Identify bursts, overlapping jobs, rapid call starts, duplicate operations, and frequent polling. Reduce avoidable load before repeatedly retrying.
- Escalate with useful evidence if the error persists. Provide request IDs, timestamps, exact error details, the affected endpoint, and the relevant account limit to provider support. Check the provider’s current service status as well.
Choose the fix that matches the limit
Request or token rate
Smooth bursts with a queue or rate limiter rather than sending a large batch at once. If tokens are the constraint, trim unnecessary prompt content and avoid requesting more output tokens than the task needs. OpenAI notes that request-per-minute and token-per-minute limits are independent and may be scoped to an organization or project and model; model families can share limits.
Concurrency or voice-operation throughput
Set a cap on simultaneous work and pace call starts or SDK operations. Queue excess work, avoid launching the same call or verification repeatedly, and reduce unnecessary polling. In Twilio integrations, the provider recommends webhooks instead of frequent repeated GET requests for resources that change. Where sustained throughput is insufficient, check whether the product supports a higher limit for the account.
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Credits, spend caps, or usage limits
Stop automatic retries and inspect the exact account condition. An exhausted credit balance or organization, project, or account spending limit will not be repaired by waiting and retrying. Confirm the account and project, then replenish the applicable balance or update the reported limit if authorized. OpenAI documents these account-action errors separately from ordinary temporary throttling.
Temporary service load
If the response indicates that the provider or model is busy, defer work and retry conservatively. A service-capacity error may use a different status from a 429; for example, OpenAI documents 503 server_is_overloaded as distinct from its 429 rate-limit conditions. Use the specific status and error code rather than treating all temporary failures alike.
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Retry safely without amplifying the problem
Retries help only when the failure is transient and repeating the operation is safe. Failed requests can still count toward limits, so unbounded retries can add load and prolong the incident.
- Honor a valid
Retry-Afterdelay as the minimum wait. Do not retry earlier because a client library cannot accommodate a long delay; defer the work or surface the error instead. - If there is no valid server delay, use exponential backoff with random jitter. Jitter helps prevent many clients from retrying together after the same failure.
- Set both an attempt cap and an overall deadline. Stop when either is reached, and return or queue the error for later handling rather than looping indefinitely.
- Account for SDK retries. Official SDKs may retry eligible responses automatically, but behavior depends on SDK version and configuration. Avoid layering an aggressive application retry loop on top of SDK retries.
- Protect non-idempotent actions. Repeating a call start or another transaction-like voice action can create duplicates. Use an idempotency strategy where the provider supports one, or verify the outcome before replaying.
- Prevent overload upstream. Use queues, request and token budgets, and concurrency controls as the normal traffic plan; retries are a recovery measure, not a substitute for pacing.
For OpenAI temporary rate limiting, the documented approach is to wait at least the applicable Retry-After value and use jitter; when no valid delay is available, use exponential backoff with jitter. Its guide also describes a rule of thumb for ramping traffic: once a workload reaches 1 million input tokens per minute, increase by no more than 50% every 15 minutes. That is an illustrative, workload-dependent guideline—not a general limit or guaranteed safe ramp for every account.
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Provider-specific clues and documented limits
OpenAI API
OpenAI’s rate-limit documentation covers request, token, image, and audio-related limits, with the relevant threshold depending on model and endpoint. A 429 may indicate a temporary rate limit, a too-rapid increase in request rate, or an account usage condition. The guide documents rate_limit_error and slow_down for rate-related cases, including situations where a traffic increase was too rapid even though displayed RPM and TPM limits remain within bounds. Check the current limits page and confirm the organization and project used by the request.
For account-action errors, OpenAI identifies credit_balance_exhausted, organization_usage_limit_exceeded, organization_spend_limit_exceeded, and project_spend_limit_exceeded. These call for the corresponding balance or limit action, not repeated retries. [OpenAI rate limits guide] [OpenAI usage-limit help]
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ElevenLabs API
ElevenLabs distinguishes too_many_concurrent_requests, which indicates that the subscription concurrency limit was exceeded, from system_busy, which indicates high service traffic. Its documentation currently lists API concurrent-request limits by plan as follows. The values are mutable, plan-specific figures in documentation accessed October 4, 2026; check the live documentation for the product and plan you use. ElevenAgents has different limits.
| ElevenLabs subscription plan | Documented concurrent requests |
|---|---|
| Free | 2 |
| Starter | 3 |
| Creator | 5 |
| Pro | 10 |
| Scale | 15 |
| Business | 15 |
Queue work or lower simultaneous requests when the error is a concurrency limit; for system_busy, defer and retry with backoff. [ElevenLabs rate limits]
Twilio REST API and Programmable Voice
Twilio’s REST API guidance recommends backoff during high usage and documents the Twilio-Concurrent-Requests header. The header reports current account concurrent requests; subaccount requests do not roll up to the primary account’s count, and requests that receive 429 are included. REST error 20429 can reflect concurrency as well as product-specific causes such as Verify safeguards or configured service rate limits. Depending on the cause, useful changes include queueing or throttling, avoiding repeated verification starts for the same phone number, and reducing verification-status polling.
For Programmable Voice, error 31206 means the client request rate exceeded an authorized limit. Causes can include rapid Voice SDK operations, bursts of outbound call starts, mixed SDK and REST activity, and rapid Call Message Events. Pace or queue operations, inspect logs and events, and ask Twilio about higher sustained throughput if the account and product support it. The applicable throughput is account- and product-specific; there is no universal call-per-second figure to apply to every integration. [Twilio REST API best practices] [Twilio error 20429] [Twilio error 31206]
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Contact support or request a limit review when paced traffic still exceeds a documented ceiling, the limit shown in the account does not match the error, or the required sustained throughput is beyond the account’s available capacity. Include the request IDs, timestamps, exact error codes, endpoint or model, traffic pattern, and the limit you believe is being reached. Do not send secrets such as API keys. Provider limits and account controls change, so use the live product documentation and dashboard for the final value that applies to your integration.
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