Structured outputs on Amazon Bedrock: Schema-compliant AI responses

Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can obtain validated JSON responses from foundation models through constrained decoding for schema compliance.

This represents a paradigm shift in AI application development. Instead of validating JSON responses and writing fallback logic for when they fail, you can move straight to building with the data. With structured outputs, you can build zero-validation data pipelines that trust model outputs, reliable agentic systems that confidently call external functions, and simplified application architectures without retry logic.

In this post, we explore the challenges of traditional JSON generation and how structured outputs solves them. We cover the two core mechanisms—JSON Schema output format and strict tool use—along with implementation details, best practices, and practical code examples. Whether you’re building data extraction pipelines, agentic workflows, or AI-powered APIs, you’ll learn how to use structured outputs ...