Generic LLM service infrastructure — provider abstraction, retry logic, JSON extraction

High-level LLM text generation and structured JSON extraction with validation, repair, and streaming.

ParseRail for n8n: 41 finished-job AI operations in one node, documents to schema-valid JSON, extraction, triage, research, moderation, agent memory. One credit wallet, failed calls never burn credits.

TypeScript structured LLM outputs: JSON extraction, Zod/JSON Schema adapters, validation, retries. OpenAI (JSON mode & structured outputs), Anthropic, Google Gemini, Ollama, custom providers.

Parse and validate AI model responses with JSON extraction, markdown parsing, and schema validation

General-purpose content-handling MCP toolbox — Part 1 foundation: content-type detection, JSON extraction, validation framework, batch processing.

Safe TypeORM query building — semantic WHERE/ORDER, JSON extraction, FindOptions builders.

tar for node

Fast, accurate JSON extraction using small language models. Runs locally or connects to cloud API.

Official TypeScript SDK for Hydra - Intelligent AI API Gateway with automatic failover, caching, and JSON extraction

LLM output guard for n8n: LLM-aware JSON extraction + real ajv JSON Schema validation + a repair-loop contract (Valid / Repair / Failed outputs) for HTTP-based LLM workflows. Never throws; every repair attempt is visible in the execution log.

Utilities for working with LLM outputs (e.g. fuzzy JSON extraction/parsing).

Retrieve all keys and nested keys from objects and arrays of objects.

Babel plugin to extract translatable messages from source code into Lingui catalogs

Resources installer

Reads and writes Lingui message catalogs as JSON, either minimal key-value files or files with full message metadata

A robust parser for requirements.txt files

OpenAI-compatible chat client (retry, rate-limit, JSON extraction) and actor-critic orchestration

various machine learning routines for node

Tokenized zip support