Build an automated deployment of generative AI with agent lifecycle changes using Terraform

This article guides you through automating the deployment of a generative AI chatbot using Amazon Bedrock, AWS services like OpenSearch, Lambda, S3, and IAM roles, and Terraform for infrastructure as code. It covers creating reusable modules for provisioning components like Bedrock Agents, Knowledge Bases, OpenSearch collections, S3 buckets, roles, VPC endpoints, and Bedrock Guardrails.

Specifically, the article covers:

• Solution architecture diagram
• Package structure with module details
• Prerequisites
• Deployment instructions using Terraform
• Solution workflow with agent and knowledge base integration
• Agent update lifecycle for automated agent alias creation
• Chatbot application workflow with natural language understanding, knowledge base retrieval, and BMI calculation
• Agent configuration with instructions and action group details
• OpenAPI schema for BMI calculation
• Testing the chatbot with example scenarios
• Cleanup instructions