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.

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.
• Top P: Set the probability threshold for token selection. A lower value limits the pool to more probable tokens; a higher value allows more diverse options.
• Max Retries: Enter the maximum number of times to retry a request.
• Additional Model Request Fields: Enter model-family-specific inference parameters as JSON, for example Claude's top_k or Nova's inferenceConfig. Refer to the AWS model parameters documentation for the parameters each model family supports.
• Latency Optimization: Choose whether requests use Standard or Optimized latency. Optimized mode can reduce response time for supported models and regions. Refer to the AWS latency-optimized inference documentation for availability.
• Guardrail: Apply an Amazon Bedrock guardrail to requests. Refer to Using AWS Guardrails for details.

Using AWS Guardrails

Guardrails let your organization enforce content and safety policies on model invocations. The guardrail must exist in the same AWS region as the model. The Guardrail option has these fields:

• Guardrail Identifier: The ID or full ARN of the guardrail to apply.
• Guardrail Version: The guardrail version to use: a numeric version string (for example 1) or DRAFT for the working draft. Defaults to DRAFT.
• Trace: Whether AWS includes diagnostic trace information about the guardrail's evaluation in the response: Disabled (default), Enabled, or Enabled (Full). Note: enabling trace makes AWS include guardrail assessment details (which can echo matched input content, e.g. PII findings) in responses; n8n doesn't currently surface these in the AI log.

When a guardrail intervenes, the node returns the guardrail's configured blocked message in place of the model output, as a normal response rather than an error. n8n doesn't expose the underlying stop reason: to detect an intervention downstream, match on your guardrail's blocked message text. An invalid guardrail identifier or version fails the node with the AWS validation error. Guardrails apply to both streaming and non-streaming requests.

Proxy limitations

This node doesn't support the NO_PROXY environment variable.

Templates and examples

Browse AWS Bedrock Chat Model node documentation integration templates or search all templates

Related resources

Refer to LangChains's AWS Bedrock Chat Model documentation for more information about the service.

View n8n's Advanced AI documentation.