Configure API Credentials for Amazon Bedrock
Configure your API credentials to use AWS Bedrock as your LLM provider for Generative AI Controller capabilities.
Before you begin
You must have an AWS account and the IAM user needs permission to access the bedrock:InvokeModel action.
Role required: admin
About this task
To use Amazon Bedrock as your LLM provider for Generative AI Controller capabilities, you must have an active connection configured.
Procedure
-
Navigate to All > Connections & Credentials > Connections & Credential Aliases.
-
Open the record for Amazon Bedrock.
[Omitted image "gai-create-new-connection-amazon.png"] Alt text: Create New Connection & Credential related link highlighted on the screen.
-
Select the Create New Connection & Credential related link.
-
Enter your Region, such as
us-east-1. -
Enter your API key.
For more information, see AWS documentation on generating API keys.
-
Select Create.
Result
You can use Amazon Bedrock as your LLM provider for Generative AI Controller capabilities.
[Omitted image "gai-created-connection-amazon.png"] Alt text: Complete connection for Amazon Bedrock.
What to do next
Activate generative AI skills in the AI Admin Hub console for your workflow. For more information, see Generative AI skills.
---
title: Configure API Credentials for Amazon Bedrock
description: Configure your API credentials to use AWS Bedrock as your LLM provider for Generative AI Controller capabilities.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/generative-ai-controller/configure-api-credentials-for-amazon-bedrock.html
release: brazil
product: Generative AI Controller
classification: generative-ai-controller
topic_type: task
last_updated: "2026-09-10"
reading_time_minutes: 1
breadcrumb: [Configuring API credentials for generative AI capabilities, Configuring Generative AI Controller, Generative AI Controller, Extending AI with external systems and providers, Enable AI Experiences]
---
# Configure API Credentials for Amazon Bedrock
Configure your API credentials to use AWS Bedrock as your LLM provider for Generative AI Controller capabilities.
## Before you begin
You must have an AWS account and the IAM user needs permission to access the bedrock:InvokeModel action.
Role required: admin
## About this task
To use Amazon Bedrock as your LLM provider for Generative AI Controller capabilities, you must have an active connection configured.
## Procedure
1. Navigate to **All** > **Connections & Credentials** > **Connections & Credential Aliases**.
2. Open the record for Amazon Bedrock.
\[Omitted image "gai-create-new-connection-amazon.png"\] Alt text: Create New Connection & Credential related link highlighted on the screen.
3. Select the **Create New Connection & Credential** related link.
4. Enter your **Region**, such as `us-east-1`.
5. Enter your API key.
For more information, see [AWS documentation on generating API keys](https://repost.aws/knowledge-center/create-access-key).
6. Select **Create**.
## Result
You can use Amazon Bedrock as your LLM provider for Generative AI Controller capabilities.
\[Omitted image "gai-created-connection-amazon.png"\] Alt text: Complete connection for Amazon Bedrock.
## What to do next
Activate generative AI skills in the AI Admin Hub console for your workflow. For more information, see [Generative AI skills](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/now-assist-skills/now-assist-skills.md).
| title | Configure API Credentials for Amazon Bedrock |
| description | Configure your API credentials to use AWS Bedrock as your LLM provider for Generative AI Controller capabilities. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/generative-ai-controller/configure-api-credentials-for-amazon-bedrock.html |
| release | brazil |
| product | Generative AI Controller |
| classification | generative-ai-controller |
| topic_type | task |
| last_updated | 2026-09-10 |
| reading_time_minutes | 1 |
| breadcrumb | Configuring API credentials for generative AI capabilitiesConfiguring Generative AI ControllerGenerative AI ControllerExtending AI with external systems and providersEnable AI Experiences |