Context Engineering
Structured Output
Structured output constrains a model's response to follow a specific format, such as JSON or XML, validated against a schema you define, so that downstream code can parse the result reliably instead of wrestling with free-form text. In agent systems, a single missing field or wrong type in a tool call response can crash an entire pipeline, so structured output eliminates a whole class of integration bugs that would otherwise require fragile regex parsing or post-hoc validation. Most providers now support structured output natively through response format parameters or tool-use schemas, making the output of one agent call reliable enough to feed directly as input to the next.
connected to
resources
OpenAI: Structured Outputsplatform.openai.comOpenAI's guide to guaranteed JSON output with schema validation (platform.openai.com)Anthropic: Tool Usedocs.anthropic.comHow Claude produces structured output through tool-use schemas (docs.anthropic.com)Instructorgithub.comPopular library for extracting structured data from LLMs using Pydantic models (github.com)Vercel AI SDK: Structured Outputsdk.vercel.aiFramework-level structured output with automatic schema validation (sdk.vercel.ai)