guardrails-ai

Deterministic cost / loop / time budgets · full observability · crash-resumable runs · human-approval gates · a memory you own. Self-hosted. Your keys. No telemetry. Point it at your existing agents - one env var.

LLM Testing Library for Java: Fault Injections, Prompt Injections, Adversarial Attacks, Guardrails Testing, Bias Testing

Python port of QFIRE: a declarative, positive-security prompt firewall. Rules and chains are authored as YAML; the engine evaluates them cheapest-first with short-circuiting, fails closed on any detector error, and writes an auditable decision trace for every evaluation.

📚 Stateful, self-correcting RAG research assistant built with LangGraph & Streamlit. Features hybrid search (dense + BM25), Cohere reranking, Tavily web/arXiv claim verification, session-isolated Qdrant storage, Guardrails AI, DeepEval testing, LangSmith tracing, /btw off-topic channel and AWS Fargate deployment configured with Terraform & CI/CD.

Build a production-ready multi-agent AI system using LangGraph, MCP, Supervisor Agents, Guardrails, Observability, and Human-in-the-Loop. Learn to coordinate specialized agents, integrate tools, add safety controls, enable approvals, and monitor agent workflows.

Make your AI write shippable Verilog — a ruleset + a checker for Xilinx FPGA RTL

Content Guardian — Intelligent AI Middleware for content moderation and validation. Powered by Guardrails AI to ensure LLM safety and structured output via a modular API.

A RAG-powered AI chatbot using FastAPI, LangChain, Google Gemini, and ChromaDB with secure user authentication, YAML-configurable personas, document upload, semantic search, conversation memory, and real-time streaming responses via Server-Sent Events (SSE).

Automated red-teaming and safety layering for a RAG agent — Promptfoo attack generation, Guardrails AI validation, and Llama Guard classification, with before/after break-rate comparison.

A full-stack AI financial chatbot built on NVIDIA's API with dual safety guardrails, RAG over research documents and live market tools.

A lightweight, external file integrity monitor (FIM) to protect your project architecture and guardrails from silent overwrites by autonomous coding agents.

Policy enforcement and permission testing for AI agents. Mock enterprise APIs, simulate synthetic user consent, and block unauthorized data access before deployment.