To help you kickstart with the Multi-Agent Orchestrator framework, weโll walk you through the step-by-step process of setting up and running your first multi-agent conversation.
๐ Ensure you have Node.js and npm installed (for TypeScript) or Python installed (for Python) on your development environment before proceeding.
This quickstart demonstrates the use of Amazon Bedrock for both classification and agent responses.
To authenticate with your AWS account, follow these steps:
a. Install the AWS CLI if you havenโt already. You can download it from the official AWS CLI page.
b. Configure your AWS CLI with your credentials. For detailed instructions on how to set up your AWS CLI, please refer to the AWS CLI Configuration Quickstart Guide.
c. After configuring your AWS CLI, verify your authentication by running:
If successful, this command will return your AWS account ID, user ID, and ARN.
By default, the framework is configured as follows:
Classifier: Uses the Bedrock Classifier implementation with anthropic.claude-3-5-sonnet-20240620-v1:0
Agent: Utilizes the Bedrock LLM Agent with anthropic.claude-3-haiku-20240307-v1:0
Important
These are merely default settings and can be easily changed to suit your needs or preferences.
You have the flexibility to:
Change the classifier model or implementation
Change the agent model or implementation
Use any other compatible models available through Amazon Bedrock
Ensure you have requested access to the models you intend to use through the AWS console.
To customize the model selection:
For the classifier, refer to our guide on configuring the classifier.
For the agent, refer to our guide on configuring agents.
๐ Get Started!
Install the Multi-Agent Orchestrator framework in your project: