Amazon Bedrock Credentials
Use AWS Bedrock Credentials to establish a secure and authenticated connection between HCL UnO Agentic AI Builder solutions and Amazon Bedrock. This essential connection allows your AI agents to seamlessly interact with Amazon's portfolio of high-performance foundation models (FMs) for all generative AI tasks.
Before you begin
Ensure the following prerequisites are met:
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You have an active AWS account.
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You have an AWS Identity and Access Management (IAM) user with the necessary programmatic access keys (Access Key ID and Secret Access Key).
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The IAM user or assumed IAM Role must have permissions for the Bedrock service (for example, bedrock:ListFoundationModels and bedrock:InvokeModel).
| Option | Description |
|---|---|
| Credential Name |
A unique, user-defined name for this AWS Bedrock credential. This name will be used to identify the credential within the HCL UnO Agentic AI Builder. |
| AWS Access Key ID |
Your AWS Access Key ID — the public identifier of your AWS access key pair. |
| AWS Secret Access Key | Your AWS Secret Access Key — the private part of the access key pair used to authenticate API requests. |
| Options | Description |
|---|---|
| AWS Region | The AWS region where the Bedrock service is accessed (default: us-east-1). |
| IAM Role ARN | Optional IAM Role Amazon Resource Name (ARN) to assume. If provided, the system will use the Access Key/Secret Key to temporarily assume this role for Bedrock access. |
| Discover Models |
When selected, the system automatically retrieves and displays the latest available LLM models from Amazon Bedrock account in the LLM Name dropdown. When not selected, the system uses the predefined, static list of models bundled with the product, and newly released Amazon Bedrock account models will not appear in the dropdown. |