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A 429 from Claude on Amazon Bedrock usually means the request exceeded a quota for the endpoint, model, and AWS Region in use—but the status code alone does not establish who returned the literal rate_limit_exceeded string. First identify the endpoint and full error, then check the matching quota and adjust request volume, token settings, retries, or quota allocation.
First identify which endpoint returned the error
“Claude on AWS” can refer to different services, and their error labels and quota rules are not interchangeable. Bedrock Runtime and Bedrock Mantle are separate Bedrock endpoints with separate per-model quota allocations. Claude Platform on AWS is another distinct offering with its own workspace limits. A 429 status by itself does not tell you which surface—or an intermediary such as a gateway—produced rate_limit_exceeded.
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Capture the complete response before changing settings. Record the HTTP status, response body and error type, request ID, timestamp, API operation, SDK, Region, endpoint, model ID or inference profile, and any retry headers. AWS advises checking the API-specific error type rather than relying on the HTTP status alone; see Troubleshooting Amazon Bedrock API error codes.
If it is Bedrock Runtime, check the Runtime quota
AWS documents a Bedrock ThrottlingException with HTTP 429 as a request denied for exceeding the account quotas for Amazon Bedrock. The relevant allocation depends on the model and Region, so check the Runtime quota for the exact combination in Service Quotas and compare it with actual traffic. Do not assume that a general Claude limit, another Region’s value, or a Mantle quota applies.
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Runtime token accounting can make the configured output ceiling matter even when the model does not generate that many tokens. AWS says max_tokens is deducted initially for Runtime, and applicable model quotas may count output tokens using a burndown rate. An unnecessarily high maximum can therefore reduce the number of requests admitted. Set it to a realistic upper bound for the task, and check the model-specific quota and accounting details in the Amazon Bedrock quotas documentation.
If it is Bedrock Mantle, check both token quotas
Mantle has separate input and output tokens-per-minute (TPM) quotas, rather than Runtime’s quota allocation. Its admission check counts input tokens plus the requested max_tokens against the input TPM quota; generated output is measured against the separate output TPM quota. Mantle does not enforce a requests-per-minute (RPM) quota. These rules mean that lowering an excessive max_tokens can help a request pass admission, while sustained generated output can still run into the output quota. Confirm the model and Region in AWS’s Bedrock Mantle documentation.
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Match the fix to the error and traffic pattern
Short bursts
If traffic briefly spikes above the applicable quota, smooth or limit the request rate rather than sending the same burst again immediately. Use a queue, a concurrency limit, or a rate limiter to spread requests over time. Apply jitter to retries so clients do not all retry together.
Sustained demand
If demand consistently exceeds the model’s allocation, retries will not increase the quota. Request a quota increase through your AWS account manager or AWS Support. Availability of throughput options varies by model and Region, so check the current model details rather than assuming a particular capacity tier is available.
503 or 529 responses
Do not treat every throttling-looking response as a quota 429. AWS distinguishes quota-related 429 errors from transient service or model-capacity pressure: HTTP 503 indicates service unavailability, while HTTP 529 with overloaded_error indicates model capacity pressure. For transient errors, back off, avoid synchronized retries, and honor Retry-After when the response supplies it. AWS describes these distinctions in its API error guidance.
Use a controlled retry policy
For retryable throttling or transient failures, use exponential backoff with random jitter and a finite retry limit. Respect any Retry-After value rather than retrying sooner. A retry policy reduces pressure during a brief spike; it is not a substitute for correcting a sustained mismatch between workload and quota. AWS’s guidance on throughput and retry handling is available in Bedrock quotas.
- Identify the endpoint: distinguish Runtime from Mantle, and confirm that the request is not going through another AWS offering or intermediary.
- Verify the error: retain the full body, status, request ID, Region, model, operation, and retry headers.
- Check the matching quota: use the model- and Region-specific allocation for the endpoint actually called.
- Shape requests: smooth bursts; right-size
max_tokensunder the endpoint’s accounting rules; on Mantle, manage input and output TPM separately. - Retry appropriately: use exponential backoff with jitter for retryable errors and follow
Retry-Afterwhen present. - Escalate persistent shortfall: request an increase through AWS Support or your account manager if normal demand exceeds the allocation.
Why the exact string may not match Bedrock’s documented error
AWS’s Bedrock troubleshooting guide describes a 429 quota response as ThrottlingException. It describes overloaded_error with HTTP 529 as model-capacity pressure. AWS documents rate_limit_error semantics separately for Claude Platform on AWS, where Anthropic-managed workspace limits apply. Those names are not evidence that Bedrock Runtime returned the same error: the response body and endpoint are needed to attribute rate_limit_exceeded reliably. See Bedrock API error codes and AWS’s Claude Platform on AWS documentation.
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