#Structured-output
Showing 16 of 16 repositories tagged #structured-output, ranked by stars
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
React Native Apple LLM plugin using Foundation Models
Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.
A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.
Validate, repair, and retry LLM structured outputs. 13 repair strategies for common JSON malformations, JSON Schema validation, and retry-with-feedback prompts.
LLM-powered security log analyzer: detect threats & anomalies with zero regex — just declare a Pydantic schema. Real-time Telegram alerts, SIEM-ready with Elasticsearch/Kibana. Supports OpenAI, Ollama, vLLM.
Turn domain experts into production AI agents.
Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.
Turn any LLM into a reliable local JSON API | Contract-first local LLM API builder for structured JSON outputs, model/prompt comparison, schema validation, repair/retry, model switching, and runtime testing.
Minimal, async-first Python framework for production LLM apps- 2 hard deps, no magic, no SaaS.
Python for logic. English for intelligence.