AWS Bedrock Chat Model

The AWS Bedrock Chat Model node allows you use LLM models utilising AWS Bedrock platform.

On this page, you'll find the node parameters for the AWS Bedrock Chat Model node, and links to more resources.

Credentials

You can find authentication information for this node here.

Parameter resolution in sub-nodes

Sub-nodes behave differently to other nodes when processing multiple items using an expression.

Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.

In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.

Node parameters

Authentication: Select the authentication method:
- AWS (IAM): Use an IAM access key. Select an AWS credential.
- AWS (Assume Role): Temporarily assume an IAM role. Select an AWS (Assume Role) credential.
Model: Select the model that generates the completion.

Learn more about available models in the Amazon Bedrock model documentation.

Node options

Maximum Number of Tokens: Enter the maximum number of tokens used, which sets the completion length.
Sampling Temperature: Use this option to control the randomness of the sampling process. A higher temperature creates more diverse sampling, but increases the risk of hallucinations.