Technology
Structured outputs
Structured Outputs enforce a predefined schema (e.g., JSON, XML) on Large Language Model (LLM) responses, guaranteeing machine-readable, consistent data for reliable system integration.
This technology eliminates the unpredictability of free-form LLM text. Structured Outputs leverage techniques like constrained decoding and Context-Free Grammars (CFG) to strictly limit the model’s token generation, ensuring the output conforms to a user-defined JSON Schema or Pydantic model. This capability is mission-critical for production systems: it ensures 100% format reliability (a massive leap from the ~35% reliability of older 'JSON mode'). Use it for seamless data extraction, reliable function calling, and direct API integration, turning erratic text into clean, verifiable data for your downstream applications.
What builders pair with Structured outputs
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: FastAPI
Cognitive Cell: Building a Route-Select-Render Control Layer for Workflow AI
Pairing: Python
Cognitive Cell: Building a Route-Select-Render Control Layer for Workflow AI
Pairing: Backend
Building a Production-Ready ESG KPI Extraction Pipeline with Gemini API
Pairing: BERT
The Unreasonable Power of Structured Outputs
Pairing: BLOOM
The Unreasonable Power of Structured Outputs
Pairing: chat bot
AI powered component streaming with structured outputs
Recent Talks & Demos
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