aws bedrock agent runtime sink AWS Bedrock Agent Runtime Sink

Provided by: "Apache Software Foundation"

Support Level for this Kamelet is: "Stable"

Send data for invoking a knowledge base from AWS Bedrock.

Configuration Options

The following table summarizes the configuration options available for the aws-bedrock-agent-runtime-sink Kamelet:

Property Name Description Type Default Example

knowledgeBaseId

Knowledge Base Id

Required The Knowledge Base Id to be used to retrieve and generate responses.

string

modelId

Model Id

Required The model Id to be used to generate responses.

Enum values:

* anthropic.claude-instant-v1 * anthropic.claude-v2 * anthropic.claude-v2:1 * anthropic.claude-3-sonnet-20240229-v1:0

string

region

AWS Region

Required The AWS region to access.

Enum values:

* us-east-1 * us-west-1

string

accessKey

Access Key

The access key obtained from AWS.

string

overrideEndpoint

Endpoint Overwrite

Select this option to override the endpoint URI. To use this option, you must also provide a URI for the uriEndpointOverride option.

boolean

false

profileCredentialsName

Profile Credentials Name

If using a profile credentials provider this parameter will set the profile name.

string

secretKey

Secret Key

The secret key obtained from AWS.

string

sessionToken

Session Token

Amazon AWS Session Token used when the user needs to assume a IAM role.

string

uriEndpointOverride

Overwrite Endpoint URI

The overriding endpoint URI. To use this option, you must also select the overrideEndpoint option.

string

useDefaultCredentialsProvider

Default Credentials Provider

If true, the Bedrock client loads credentials through a default credentials provider. If false, it uses the basic authentication method (access key and secret key).

boolean

false

useProfileCredentialsProvider

Profile Credentials Provider

Set whether the Bedrock client should expect to load credentials through a profile credentials provider.

boolean

false

useSessionCredentials

Session Credentials

Set whether the Bedrock client should expect to use Session Credentials. This is useful in situation in which the user needs to assume a IAM role for doing operations in Bedrock.

boolean

false

Dependencies

At runtime, the aws-bedrock-agent-runtime-sink Kamelet relies upon the presence of the following dependencies:

  • camel:core

  • camel:aws-bedrock

  • camel:kamelet

Camel JBang usage

Prerequisites

  • You’ve installed JBang.

  • You have executed the following command:

jbang app install camel@apache/camel

Supposing you have a file named route.yaml with this content:

- route:
    from:
      uri: "kamelet:timer-source"
      parameters:
        period: 10000
        message: 'test'
      steps:
        - to:
            uri: "kamelet:aws-bedrock-agent-runtime-sink"

You can now run it directly through the following command

camel run route.yaml

AWS Bedrock Agent Runtime Sink Kamelet Description

Authentication methods

In this Kamelet you have the possibility of avoiding the usage of explicit static credentials by specifying the useDefaultCredentialsProvider option and set it to true.

The order of evaluation for Default Credentials Provider is the following:

  • Java system properties - aws.accessKeyId and aws.secretKey.

  • Environment variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.

  • Web Identity Token from AWS STS.

  • The shared credentials and config files.

  • Amazon ECS container credentials - loaded from the Amazon ECS if the environment variable AWS_CONTAINER_CREDENTIALS_RELATIVE_URI is set.

  • Amazon EC2 Instance profile credentials.

You have also the possibility of using Profile Credentials Provider, by specifying the useProfileCredentialsProvider option to true and profileCredentialsName to the profile name.

Only one of access key/secret key or default credentials provider could be used

For more information about this you can look at AWS credentials documentation

Kamelet source file

https://github.com/apache/camel-kamelets/blob/main/kamelets/aws-bedrock-agent-runtime-sink.kamelet.yaml

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