Amazon Bedrock

How to use Amazon Bedrock models with Spice.

Spice supports large language models hosted on Amazon Bedrock. Specify the bedrock: prefix in the from field along with the model ID.

Supported Models

Spice supports the following Amazon Nova models:

Model ID	Description
amazon.nova-micro-v1:0	Text-only, lowest latency responses
amazon.nova-lite-v1:0	Multimodal, low-cost with fast processing
amazon.nova-pro-v1:0	Multimodal, balanced accuracy, speed, and cost
amazon.nova-premier-v1:0	Multimodal, best for complex tasks

Cross-region inference profiles (e.g., us.amazon.nova-lite-v1:0) are also supported. See the Amazon Bedrock model IDs documentation for details.

To request support for additional models, file a GitHub Issue.

Configuration

from

Specify the Bedrock model ID in the from field:

models:
  - from: bedrock:us.amazon.nova-lite-v1:0
    name: novash
    params:
      aws_region: us-east-1
      aws_access_key_id: ${ secrets:AWS_ACCESS_KEY_ID }
      aws_secret_access_key: ${ secrets:AWS_SECRET_ACCESS_KEY }

Parameters

AWS Authentication

Parameter	Description	Default
aws_region	AWS region for Bedrock API requests.	us-east-1
aws_profile	AWS profile to use when loading credentials from shared config files.	-
aws_access_key_id	AWS access key ID. If not provided, credentials load from environment variables or IAM roles.	-
aws_secret_access_key	AWS secret access key. If not provided, credentials load from environment variables or IAM roles.	-
aws_session_token	AWS session token for temporary credentials.	-

Guardrails

Bedrock Guardrails filter model inputs and outputs. See GuardrailConfiguration.

Parameter	Description	Default
bedrock_guardrail_identifier	Guardrail ID or ARN. Example: arn:aws:bedrock:us-east-1:123456789012:guardrail/abc123.	-
bedrock_guardrail_version	Guardrail version number or DRAFT.	-
bedrock_trace	Trace output for guardrail evaluation. One of: disabled, enabled, enabled_full.	disabled

Model Parameters

These parameters control model behavior and are passed in the request payload:

Parameter	Description
maxTokens	Maximum number of tokens to generate.
temperature	Sampling temperature (0.0 to 1.0). Lower is more deterministic.
topP	Nucleus sampling probability (0.0 to 1.0).
topK	Number of highest probability tokens to consider.
stopSequences	Sequences that stop generation when encountered.

See Parameter Overrides for details on setting default values.

Examples

Basic Configuration

models:
  - from: bedrock:amazon.nova-lite-v1:0
    name: nova
    params:
      aws_region: us-east-1
      aws_access_key_id: ${ secrets:AWS_ACCESS_KEY_ID }
      aws_secret_access_key: ${ secrets:AWS_SECRET_ACCESS_KEY }

Cross-Region Inference

Use cross-region inference profiles for improved availability:

models:
  - from: bedrock:us.amazon.nova-pro-v1:0
    name: nova-pro
    params:
      aws_region: us-east-1

With Guardrails

models:
  - from: bedrock:amazon.nova-lite-v1:0
    name: nova-guarded
    params:
      aws_region: us-east-1
      bedrock_guardrail_identifier: arn:aws:bedrock:us-east-1:123456789012:guardrail/abc123
      bedrock_guardrail_version: '1'
      bedrock_trace: enabled

Authentication

If AWS credentials are not explicitly provided in the configuration, the connector will automatically load credentials from the following sources in order.

1. Environment Variables:

   • AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY

   • AWS_SESSION_TOKEN (if using temporary credentials)

2. Shared AWS Config/Credentials Files:

   • Config file: ~/.aws/config (Linux/Mac) or %UserProfile%\.aws\config (Windows)

   • Credentials file: ~/.aws/credentials (Linux/Mac) or %UserProfile%\.aws\credentials (Windows)

   • The AWS_PROFILE environment variable can be used to specify a named profile, otherwise the [default] profile is used.

   • Supports both static credentials and SSO sessions

   • Example credentials file:

     # Static credentials
     [default]
     aws_access_key_id = YOUR_ACCESS_KEY
     aws_secret_access_key = YOUR_SECRET_KEY
     
     # SSO profile
     [profile sso-profile]
     sso_start_url = https://my-sso-portal.awsapps.com/start
     sso_region = us-west-2
     sso_account_id = 123456789012
     sso_role_name = MyRole
     region = us-west-2

   To set up SSO authentication:

   1. Run aws configure sso to configure a new SSO profile

   2. Use the profile by setting AWS_PROFILE=sso-profile

   3. Run aws sso login --profile sso-profile to start a new SSO session

3. AWS STS Web Identity Token Credentials:

   • Used primarily with OpenID Connect (OIDC) and OAuth

   • Common in Kubernetes environments using IAM roles for service accounts (IRSA)

4. ECS Container Credentials:

   • Used when running in Amazon ECS containers

   • Automatically uses the task's IAM role

   • Retrieved from the ECS credential provider endpoint

   • Relies on the environment variable AWS_CONTAINER_CREDENTIALS_RELATIVE_URI or AWS_CONTAINER_CREDENTIALS_FULL_URI which are automatically injected by ECS.

5. AWS EC2 Instance Metadata Service (IMDSv2):

   • Used when running on EC2 instances.

   • Automatically uses the instance's IAM role.

   • Retrieved securely using IMDSv2.

The connector will try each source in order until valid credentials are found. If no valid credentials are found, an authentication error will be returned.

IAM Permissions: Regardless of the credential source, the IAM role or user must have appropriate bedrock permissions (e.g., bedrock:InvokeModel) to access the model. If the Spicepod connects to multiple different AWS services, the permissions should cover all of them.

Required IAM Permissions

The IAM role or user needs permissions to invoke Bedrock models:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["bedrock:InvokeModel", "bedrock:InvokeModelWithResponseStream"],
      "Resource": ["arn:aws:bedrock:us-east-1::foundation-model/amazon.nova-*"]
    }
  ]
}

Permission	Purpose
bedrock:InvokeModel	Required. Invoke model for text generation.
bedrock:InvokeModelWithResponseStream	Required. Invoke model with streaming output.

Related Resources

• Amazon Bedrock Embeddings - Use Bedrock for text embeddings

• Parameter Overrides - Set default model parameters

• Amazon Bedrock User Guide - AWS documentation

• Bedrock Model IDs - Available models and inference profiles