Deploy Your First Bedrock Agent with Terraform: Model-Agnostic and Future-Proof 🤖

Bedrock Agents add reasoning, planning, and tool use on top of foundation models. Here's how to deploy one with Terraform where upgrading to the next Claude or Nova model is a single variable change. In Series 1 , we deployed a Bedrock endpoint and called a foundation model directly. Send a prompt, get a response. Stateless, single-turn, no tools. Bedrock Agents are different. An agent wraps a foundation model with an orchestration layer that can reason through multi-step tasks, maintain conversation state across turns, decide when to use tools, and loop until it reaches a satisfactory answer. The model is the brain, but the agent is the one making decisions about what to do next. The problem: AWS ships new models constantly. Claude 3.5 became Claude 4, Nova Lite became Nova Premier. If you hardcode anthropic.claude-3-5-sonnet-20241022-v2:0 throughout your Terraform configs, upgrading means a search-and-replace across files. This post builds an agent where swapping to the next model is