Results for “structured-output”
8 skillsprompt-engineer
Designs, optimizes, and evaluates prompts for LLMs, including structured outputs, chain-of-thought, and evaluation frameworks.
10.4k · bundle
n8n-agents
Design n8n AI agents with best practices for node selection, sub-node wiring, tool design, structured output, and memory management.
5.7k · bundle
instructor
Extract structured data from LLM responses with Pydantic validation, automatic retries, and streaming support across multiple providers.
10.4k · bundle
More results
guidance
Control LLM output with regex and grammars to guarantee valid JSON, XML, or code generation, enforce structured formats, and build multi-step workflows using Microsoft Research's Guidance framework.
10.4k · bundle
outlines
Guarantee valid JSON, XML, or code structure during text generation using Pydantic models for type-safe outputs, supporting local models (Transformers, vLLM, llama.cpp) and maximizing inference speed with structured generation.
10.4k · bundle
ai-product
Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.
42.4k
project-development
Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.
16.9k · bundle
gemini-interactions-api
Call the Gemini API for text generation, chat, multimodal understanding, image/video/audio generation, streaming, function calling, structured output, and managed agents using the Interactions API in Python and TypeScript.
3.8k · bundle