Amazon Bedrock

Amazon Bedrock provides access to a variety of foundation models (FMs) from leading AI providers through a fully managed AWS service.

The following example shows a starting llm parameter configuration you can use when you Start a conversational AI agent.

_15

"llm": {

_15

"url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/us.anthropic.claude-sonnet-4-20250514-v1:0/converse-stream",

_15

"api_key": "<your_bedrock_api_key>",

_15

"access_key": "<your_aws_access_key_id>",

_15

"secret_key": "<your_aws_secret_access_key>",

_15

"region": "us-east-1",

_15

"model": "us.anthropic.claude-sonnet-4-20250514-v1:0",

_15

"system_messages": [

_15

{

_15

"role": "system",

_15

"content": "You are a helpful chatbot."

_15

}

_15

],

_15

"style": "bedrock"

_15

}

llmrequired

• url stringrequired

  The Amazon Bedrock runtime endpoint for the target region and model. See Amazon Bedrock endpoints and quotas for the correct endpoint format.

• api_key stringnullable

  Your Bedrock API key for authentication. Use either api_key alone, or both access_key and secret_key together for authentication.

• access_key stringnullable

  Your AWS Access Key ID for authenticating Bedrock API calls. Required if not using api_key. Must be used together with secret_key. Get your access key from the AWS IAM Console.

• secret_key stringnullable

  Your AWS Secret Access Key for authenticating Bedrock API calls. Required if not using api_key. Must be used together with access_key. Get your secret key from the AWS IAM Console.

• region stringrequired

  The AWS region hosting the Bedrock model, for example, us-east-1 or us-west-2. See Supported Regions and models for available regions.

• style stringrequired

  The API style to use. Set to bedrock for Amazon Bedrock models.

For advanced configuration options, model capabilities, and detailed parameter descriptions, see the Amazon Bedrock documentation.