README.md

Bedrock Example (Single Provider)

This example demonstrates how to use LaunchDarkly's AI Config with the AWS Bedrock provider.

Prerequisites

• Python 3.10 or higher
• Poetry installed
• A LaunchDarkly account and SDK key
• AWS credentials configured for Bedrock access

Setup

1. Create the following config in your LaunchDarkly project. You can use a different key by setting the environment variable in your .env.

   • Create an AI Config with a Bedrock model and a system message. Default key: sample-completion-config.

2. Create a .env file in this directory with the following variables:

   LAUNCHDARKLY_SDK_KEY=your-launchdarkly-sdk-key
   LAUNCHDARKLY_AI_CONFIG_KEY=sample-completion-config
   

   LAUNCHDARKLY_AI_CONFIG_KEY defaults to sample-completion-config if not set.

3. Ensure your AWS credentials can be auto-detected by the boto3 library. You can set them in your .env file:

   AWS_ACCESS_KEY_ID=your-access-key-id
   AWS_SECRET_ACCESS_KEY=your-secret-access-key
   AWS_DEFAULT_REGION=us-east-1
   

   Other options include role providers or shared credential files.

4. Install the required dependencies:

   poetry install

Run

poetry run bedrock