{"record":{"id":"11d29f9d4f6335da","repo":"apache/beam","slug":"rate-limit-exceeded-could-not-process-this-batch","errorCode":null,"errorMessage":"Rate Limit Exceeded, Could not process this batch.","messagePattern":"Rate Limit Exceeded, Could not process this batch\\.","errorType":"exception","errorClass":"RateLimitExceeded","httpStatus":null,"severity":"error","filePath":"sdks/python/apache_beam/ml/inference/base.py","lineNumber":515,"sourceCode":"    Args:\n      batch: A sequence of examples or features.\n      model: The model used to make inferences.\n      inference_args: Extra arguments for models whose inference call requires\n        extra parameters.\n\n    Returns:\n      An Iterable of Predictions.\n    \"\"\"\n    if self._rate_limiter:\n      if self._shared_rate_limiter is None:\n\n        def init_limiter():\n          return self._rate_limiter\n\n        self._shared_rate_limiter = self._shared_handle.acquire(init_limiter)\n\n      if not self._shared_rate_limiter.allow(hits_added=len(batch)):\n        raise RateLimitExceeded(\n            \"Rate Limit Exceeded, \"\n            \"Could not process this batch.\")\n\n    self.throttler.throttle()\n\n    try:\n      req_time = time.time()\n      predictions = self.request(batch, model, inference_args)\n      self.throttler.successful_request(req_time * _MILLISECOND_TO_SECOND)\n      return predictions\n    except Exception as e:\n      self.logger.error(\"exception raised as part of request, got %s\", e)\n      raise\n\n  @abstractmethod\n  def request(\n      self,\n      batch: Sequence[ExampleT],","sourceCodeStart":497,"sourceCodeEnd":533,"githubUrl":"https://github.com/apache/beam/blob/12126d8942aaf848030c478b4c6a28c6af861c66/sdks/python/apache_beam/ml/inference/base.py#L497-L533","documentation":"RemoteModelHandler.run_inference consults the configured RateLimiter before dispatching a batch. If the limiter's allow(hits_added=len(batch)) says the batch would exceed the request quota, RateLimitExceeded is raised for the whole batch instead of sending it.","triggerScenarios":"Calling run_inference on a RemoteModelHandler constructed with a rate_limiter whose remaining allowance is less than len(batch); large batches against a tight per-minute/per-second quota.","commonSituations":"Using remote embedding/chat APIs (e.g. OpenAI) with strict RPM/TPM quotas; batch size set too large for the plan's limits; many parallel Beam workers sharing a quota via the shared rate limiter.","solutions":["Reduce batch_size in RunInference so len(batch) fits within the rate limiter's allowance.","Configure a RateLimiter (e.g. with higher max_per_second) matching your provider quota.","Enable automatic retries: wrap in retry configuration so RateLimitExceeded is retried after backoff (the handler's retry_on_exception supports this).","Request a quota increase from the model provider or upgrade the API plan."],"exampleFix":"# before\nhandler = OpenAIEmbeddingsHandler(api_key=key, rate_limiter=RateLimiter(max_per_second=1))\n# with batch_size=100 -> exceeds allowance\n\n# after\nresult = pcoll | RunInference(handler.with_batch_size(10))","handlingStrategy":"retry","validationCode":"# ensure batch fits under limiter allowance\nmax_batch = rate_limiter.max_per_second * window_seconds\nassert batch_size <= max_batch, f'batch_size {batch_size} exceeds rate allowance {max_batch}'","typeGuard":"def batch_within_limit(limiter, batch):\n    return len(batch) <= getattr(limiter, 'max_per_second', 1)","tryCatchPattern":"from apache_beam.ml.inference.base import RateLimitExceeded\ntry:\n    result = pcoll | RunInference(handler)\nexcept RateLimitExceeded:\n    # rerun with smaller batch size or higher rate limit\n    handler = handler.with_batch_size(max(1, batch_size // 2))","preventionTips":["Size batch_size to fit comfortably under the provider's RPM/TPM quota.","Configure RateLimiter.max_per_second from the provider's documented quota.","Monitor for RateLimitExceeded in worker logs and alert on sustained occurrences."],"tags":["python","apache-beam","ml-inference","rate-limit","throttling"],"backgroundTag":"rate-limit-exceeded","analyzedSha":"12126d8942aaf848030c478b4c6a28c6af861c66","analyzedAt":"2026-09-13T01:50:10.254Z","contentChangedAt":"2026-09-13T01:50:10.254Z","schemaVersion":2},"datasetVersion":"2026-09-14T21:17:11.552Z"}