Add new workflow #384
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Add new workflow #384
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bfreiberg
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Nov 28, 2024
| ## Requirements | ||
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| - Create an AWS account if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources. | ||
| - AWS CLI installed and configured |
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- AWS CLI installed and configured
| DefaultQueue: | ||
| Type: AWS::SQS::Queue | ||
| Properties: | ||
| MessageRetentionPeriod: 345600 |
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I suggest reducing this to a day or less. Or call it out in the README
Update information texts Co-authored-by: Ben <9841563+bfreiberg@users.noreply.github.com>
bfreiberg
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Jan 6, 2025
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| # Message categorizing with Amazon Bedrock and Amazon SQS | |||
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| # Message categorizing with Amazon Bedrock and Amazon SQS | |
| # Message categorization with Amazon Bedrock and Amazon SQS |
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| # Message categorizing with Amazon Bedrock and Amazon SQS | |||
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| This workflow demonstrates how you can use Amazon Bedrock to categorize messages and then send them to an Amazon SQS queue for further processing. The AWS Serverless Application Model (SAM) template deploys the AWS Step Functions state machine which defines the workflow. | |||
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| This workflow demonstrates how you can use Amazon Bedrock to categorize messages and then send them to an Amazon SQS queue for further processing. The AWS Serverless Application Model (SAM) template deploys the AWS Step Functions state machine which defines the workflow. | |
| This workflow demonstrates how you can use Amazon Bedrock to categorize messages and then send them to an Amazon SQS queue for further processing. The AWS Serverless Application Model (SAM) template deploys an AWS Step Functions state machine which defines the workflow. |
| - [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) installed and configured | ||
| - [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) | ||
| - [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed | ||
| - NOTE! This example uses Amazon Bedrock foundation model anthropic.claude-3-haiku-20240307-v1:0. To change the model used in the example, you will need to adjust the BedrockAccess policy attached to the Step Functions. Also note that different models take inputs in different formats. To use another model, you will also need to adjust the input parameters sent to the model in the State Machine invokeModel step. |
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| - NOTE! This example uses Amazon Bedrock foundation model anthropic.claude-3-haiku-20240307-v1:0. To change the model used in the example, you will need to adjust the BedrockAccess policy attached to the Step Functions. Also note that different models take inputs in different formats. To use another model, you will also need to adjust the input parameters sent to the model in the State Machine invokeModel step. | |
| - NOTE! This example uses Amazon Bedrock foundation model anthropic.claude-3-haiku-20240307-v1:0. To change the model used in the example, you will need to adjust the BedrockAccess policy attached to the Step Functions state machine. Also note that different models take inputs in different formats. To use another model, you will also need to adjust the input parameters sent to the model in the `invokeModel` step. |
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Step Functions is the service, state machine the resource
| } | ||
| ``` | ||
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| after the execution you will see the same message in your Billing SQS Queue. |
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| after the execution you will see the same message in your Billing SQS Queue. | |
| after the execution you will see the same message in your Billing SQS queue. |
| }, | ||
| { | ||
| "type": "text", | ||
| "text": "You are a text categorizing program. Given the a list of categories [\"COMPLAINT\",\"BILLING\"], categorize the text into one of these classes (\"Category\"). Give the answer with exactly one class and no additional text. If you cannot categorize the text, please use [\"UNKNOWN\"] category. Do not try to make up a category." |
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| "text": "You are a text categorizing program. Given the a list of categories [\"COMPLAINT\",\"BILLING\"], categorize the text into one of these classes (\"Category\"). Give the answer with exactly one class and no additional text. If you cannot categorize the text, please use [\"UNKNOWN\"] category. Do not try to make up a category." | |
| "text": "You are a text categorizing program. Given the list of categories [\"COMPLAINT\",\"BILLING\"], categorize the text into one of these classes (\"Category\"). Give the answer with exactly one class and no additional text. If you cannot categorize the text, please use [\"UNKNOWN\"] category. Do not try to make up a category." |
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Looks good, thanks for your contribution. Your workflow will be merged soon |
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Issue #, if available:
Description of changes:
Message categorizing no-code example with AWS Step Functions, Amazon Bedrock and Amazon Simple Queue Service
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