AI Observability & Evaluation
Evaluation and Tracking for LLM Experiments and AI Agents
本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
Runtime security for OpenClaw agents. Scan, fix, monitor.
React components for visualizing traces from AI agents
g4f-working is a daily-updated list of working no-auth AI providers and models from @xtekky/gpt4free. It helps developers, testers, and AI enthusiasts instantly find which models are currently online and accessible without any API keys, tokens, or cookies.
A comprehensive solution for monitoring your AI models in production
A Python client to interact with Arize API
AI-powered online exam proctoring system that detects suspicious activities using computer vision. Tracks eye movements, face presence, multiple faces, and talking during exams with real-time alerts and dashboard.
Monitor how AI systems perceive and recommend your software across GPT, Claude, Gemini, and more.
Laravel AI Guard 🛡️💰🤖 - Control and optimize AI costs in Laravel AI SDK applications 🚀 Track OpenAI & LLM token usage 📊, estimate AI costs before execution
AI-Powered Zabbix Monitoring with Google Gemini Seamlessly integrate Google Gemini AI into your Zabbix monitoring to get intelligent alert analysis, predictive insights, and automated troubleshooting suggestions
Automatic Langfuse tracking for Claude Code
Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.
A Java client to interact with Arize API
Autonomous AI infrastructure monitoring using Hermes Agent. Cron-based research ingestion, cost forecasting, and headless systemd deployment.
Real-time observability for Claude Code agents. Track conversations, tool calls, and token usage across all sessions - zero config.
Sentio IoT is an open-source observability hub for IoT and edge computing. Monitor metrics, logs, and traces across thousands of devices in real-time. Features AI-driven alerting, predictive maintenance, native integrations (Home Assistant, Zigbee, Modbus), and secure cloud/on-prem deployment.
Example projects for Arthur Model Monitoring Platform
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