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Amazon Bedrock EventBridge 的運作方式

焦點模式
Amazon Bedrock EventBridge 的運作方式 - Amazon Bedrock

本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。

本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。

Amazon EventBridge 是無伺服器事件匯流排,可從 AWS 服務、SaaS 合作夥伴和客戶應用程式擷取狀態變更事件。它會根據您建立的規則或模式處理事件,並將這些事件路由至您選擇的一或多個目標,例如 AWS Lambda、Amazon Simple Queue Service 和 Amazon Simple Notification Service。您可以根據事件的內容來設定下游工作流程。

在了解如何使用 Amazon EventBridge for Amazon Bedrock 之前,請參閱 Amazon EventBridge 使用者指南中的下列頁面。

EventBridge 每當您提交的任務狀態變更時,Amazon Bedrock 會透過 Amazon 發佈您的事件。在每種情況下,都會建立新的事件並傳送至 Amazon EventBridge,然後傳送事件至您的預設事件匯流排。事件會顯示已變更的任務狀態,以及任務的目前狀態。

Amazon Bedrock 事件會在事件中由 source 的值識別aws.bedrock。Amazon Bedrock 中事件detail-type的 包含下列項目:

  • Model Customization Job State Change

  • Batch Inference Job State Change

選取索引標籤以查看在 Amazon Bedrock 中提交之任務的範例事件。

Model Customization Job State Change

下列JSON物件顯示模型自訂任務狀態變更時的範例事件:

{ "version": "0", "id": "UUID", "detail-type": "Model Customization Job State Change", "source": "aws.bedrock", "account": "123456789012", "time": "2023-08-11T12:34:56Z", "region": "us-east-1", "resources": ["arn:aws:bedrock:us-east-1:123456789012:model-customization-job/abcdefghwxyz"], "detail": { "version": "0.0", "jobName": "abcd-wxyz", "jobArn": "arn:aws:bedrock:us-east-1:123456789012:model-customization-job/abcdefghwxyz", "outputModelName": "dummy-output-model-name", "outputModelArn": "arn:aws:bedrock:us-east-1:123456789012:dummy-output-model-name", "roleArn": "arn:aws:iam::123456789012:role/JobExecutionRole", "jobStatus": "Failed", "failureMessage": "Failure Message here.", "creationTime": "2023-08-11T10:11:12Z", "lastModifiedTime": "2023-08-11T12:34:56Z", "endTime": "2023-08-11T12:34:56Z", "baseModelArn": "arn:aws:bedrock:us-east-1:123456789012:base-model-name", "hyperParameters": { "batchSize": "1", "epochCount": "5", "learningRate": "0.05", "learningRateWarmupSteps": "10" }, "trainingDataConfig": { "s3Uri": "s3://bucket/key" }, "validationDataConfig": { "s3Uri": "s3://bucket/key" }, "outputDataConfig": { "s3Uri": "s3://bucket/key" } } }

若要了解模型自訂專用的詳細資訊物件中的欄位,請參閱 GetModelCustomizationJob

Batch Inference Job State Change

下列JSON物件顯示模型自訂任務狀態變更時的範例事件:

{ "version": "0", "id": "a1b2c3d4", "detail-type": "Batch Inference Job State Change", "source": "aws.bedrock", "account": "123456789012", "time": "Wed Aug 28 22:58:30 UTC 2024", "region": "us-east-1", "resources": ["arn:aws:bedrock:us-east-1:123456789012:model-invocation-job/abcdefghwxyz"], "detail": { "version": "0.0", "accountId": "123456789012", "batchJobName": "dummy-batch-job-name", "batchJobArn": "arn:aws:bedrock:us-east-1:123456789012:model-invocation-job/abcdefghwxyz", "batchModelId": "arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-3-sonnet-20240229-v1:0", "status": "Completed", "failureMessage": "", "creationTime": "Aug 28, 2024, 10:47:53 PM" } }

若要了解批次推論專用的詳細資訊物件中的欄位,請參閱 GetModelInvocationJob

下列JSON物件顯示模型自訂任務狀態變更時的範例事件:

{ "version": "0", "id": "UUID", "detail-type": "Model Customization Job State Change", "source": "aws.bedrock", "account": "123456789012", "time": "2023-08-11T12:34:56Z", "region": "us-east-1", "resources": ["arn:aws:bedrock:us-east-1:123456789012:model-customization-job/abcdefghwxyz"], "detail": { "version": "0.0", "jobName": "abcd-wxyz", "jobArn": "arn:aws:bedrock:us-east-1:123456789012:model-customization-job/abcdefghwxyz", "outputModelName": "dummy-output-model-name", "outputModelArn": "arn:aws:bedrock:us-east-1:123456789012:dummy-output-model-name", "roleArn": "arn:aws:iam::123456789012:role/JobExecutionRole", "jobStatus": "Failed", "failureMessage": "Failure Message here.", "creationTime": "2023-08-11T10:11:12Z", "lastModifiedTime": "2023-08-11T12:34:56Z", "endTime": "2023-08-11T12:34:56Z", "baseModelArn": "arn:aws:bedrock:us-east-1:123456789012:base-model-name", "hyperParameters": { "batchSize": "1", "epochCount": "5", "learningRate": "0.05", "learningRateWarmupSteps": "10" }, "trainingDataConfig": { "s3Uri": "s3://bucket/key" }, "validationDataConfig": { "s3Uri": "s3://bucket/key" }, "outputDataConfig": { "s3Uri": "s3://bucket/key" } } }

若要了解模型自訂專用的詳細資訊物件中的欄位,請參閱 GetModelCustomizationJob

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