AWS bedrock-agentcore documentation change
Summary
Fixed formatting of a table header and added consistent spacing in table cells for long-term memory extraction failure codes and their descriptions/mitigations.
Security assessment
The changes are purely formatting and typographical (adding spaces, fixing apostrophes, correcting a table header). No new security content was added, and no existing security guidance was substantively changed. The content describes operational error codes and their mitigations, which are not inherently security-related.
Diff
diff --git a/bedrock-agentcore/latest/devguide/long-term-redrive.md b/bedrock-agentcore/latest/devguide/long-term-redrive.md index 0174d0a95..d4ae5e463 100644 --- a//bedrock-agentcore/latest/devguide/long-term-redrive.md +++ b//bedrock-agentcore/latest/devguide/long-term-redrive.md @@ -13 +13 @@ For built-in strategies, the only failure scenario is hitting the ingestion limi -Long-term memory extraction failure codes Failure Reason Code | Description | Recommended mitigation +Failure Reason Code | Description | Recommended mitigation @@ -15,10 +15,10 @@ Long-term memory extraction failure codes Failure Reason Code | Description | Re -`LTM_RATE_EXCEEDED` | This account has exceeded the allocated tokens per minute quota for long-term memory processing | Through Service Quotas, request a higher limit for the Bedrock Agentcore quota "Tokens per minute for long-term memory extraction". Then invoke the StartMemoryExtractionJob API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_ACCESS_DENIED` | The memoryExecutionRoleArn provided during CreateMemory lacks adequate permissions to invoke all of the model IDs provided in the custom strategies attached to the memory | Ensure that the role has the permissions and trust policy as defined here and add any missing permissions. Or call UpdateMemory to switch to a different role with adequate permissions. Then invoke the StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_INTERNAL_ERROR` | The service received an internal error from Bedrock when attempting to invoke the model provided in the custom strategy. | This could be a temporary service error from Bedrock. Try again later by invoking the StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_THROTTLING` | The service received a throttling exception from Bedrock when attempting to invoke the model provided in the custom strategy. | Ensure that your account has requested adequate TPM and RPM quota for that model from Bedrock. Invoke the StartMemoryExtractionJobs API on the failed extraction's jobID after quota increase or during low-traffic hours. -`CUSTOM_MODEL_BEDROCK_MODEL_ERROR` | The service received a Model Error Exception from Bedrock when attempting to invoke the model provided in the custom strategy. | This is usually a temporary service error from Bedrock. Try again later by invoking the StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_MODEL_TIMEOUT` | The service received a Model Timeout Exception from Bedrock when attempting to invoke the model provided in the custom strategy. | This occurs when the model processing time exceeds its timeout. Consider switching to a faster model before invoking StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_RESOURCE_NOT_FOUND` | The service received a Resource Not Found from Bedrock when attempting to invoke the model provided in the custom strategy. | Ensure that the modelID provided in any custom strategies associated with the memory is correct. Call UpdateMemory to update those values if necessary. Then invoke the StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_MODEL_NOT_READY` | The service received a Model Not Ready from Bedrock when attempting to invoke the model provided in the custom strategy. | Wait for the model to be in a ready state. Refer to Bedrock documentation for more details. Then invoke the StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_SERVICE_UNAVAILABLE` | The service received Service Unavailable from Bedrock when attempting to invoke the model provided in the custom strategy. | This is usually a temporary service error from Bedrock. Try again later by invoking the StartMemoryExtractionJobs API on the failed extraction's jobID. -`CUSTOM_MODEL_BEDROCK_VALIDATION_EXCEPTION` | The service received Validation Exception from Bedrock when attempting to invoke the model provided in the custom strategy. | Ensure that the modelID provided in any custom strategies associated with the memory is correct. Call UpdateMemory to update those values if necessary. Then invoke the StartMemoryExtractionJobs API on the failed extraction's jobID. +`LTM_RATE_EXCEEDED` | This account has exceeded the allocated tokens per minute quota for long-term memory processing | Through Service Quotas, request a higher limit for the Bedrock Agentcore quota "Tokens per minute for long-term memory extraction". Then invoke the StartMemoryExtractionJob API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_ACCESS_DENIED` | The memoryExecutionRoleArn provided during CreateMemory lacks adequate permissions to invoke all of the model IDs provided in the custom strategies attached to the memory | Ensure that the role has the permissions and trust policy as defined here and add any missing permissions. Or call UpdateMemory to switch to a different role with adequate permissions. Then invoke the StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_INTERNAL_ERROR` | The service received an internal error from Bedrock when attempting to invoke the model provided in the custom strategy. | This could be a temporary service error from Bedrock. Try again later by invoking the StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_THROTTLING` | The service received a throttling exception from Bedrock when attempting to invoke the model provided in the custom strategy. | Ensure that your account has requested adequate TPM and RPM quota for that model from Bedrock. Invoke the StartMemoryExtractionJobs API on the failed extraction’s jobID after quota increase or during low-traffic hours. +`CUSTOM_MODEL_BEDROCK_MODEL_ERROR` | The service received a Model Error Exception from Bedrock when attempting to invoke the model provided in the custom strategy. | This is usually a temporary service error from Bedrock. Try again later by invoking the StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_MODEL_TIMEOUT` | The service received a Model Timeout Exception from Bedrock when attempting to invoke the model provided in the custom strategy. | This occurs when the model processing time exceeds its timeout. Consider switching to a faster model before invoking StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_RESOURCE_NOT_FOUND` | The service received a Resource Not Found from Bedrock when attempting to invoke the model provided in the custom strategy. | Ensure that the modelID provided in any custom strategies associated with the memory is correct. Call UpdateMemory to update those values if necessary. Then invoke the StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_MODEL_NOT_READY` | The service received a Model Not Ready from Bedrock when attempting to invoke the model provided in the custom strategy. | Wait for the model to be in a ready state. Refer to Bedrock documentation for more details. Then invoke the StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_SERVICE_UNAVAILABLE` | The service received Service Unavailable from Bedrock when attempting to invoke the model provided in the custom strategy. | This is usually a temporary service error from Bedrock. Try again later by invoking the StartMemoryExtractionJobs API on the failed extraction’s jobID. +`CUSTOM_MODEL_BEDROCK_VALIDATION_EXCEPTION` | The service received Validation Exception from Bedrock when attempting to invoke the model provided in the custom strategy. | Ensure that the modelID provided in any custom strategies associated with the memory is correct. Call UpdateMemory to update those values if necessary. Then invoke the StartMemoryExtractionJobs API on the failed extraction’s jobID.