Arize
Continuously improve AI agents with observability, evaluation, tracing, and experimentation. Built for production AI engineering teams.
Arize is an open-source alternative to:
Arize AI provides a comprehensive platform for observing, evaluating, and improving AI agents in production. The platform helps teams trace agent workflows, assess performance, and implement continuous learning cycles to enhance agent capabilities.
Key Features
- Agent Observability: Real-time monitoring of agent workflows, inputs, and outputs
- Evaluation & Scoring: Automated evaluation of agent responses and performance metrics
- Tracing & Debugging: Detailed trace logs for troubleshooting and optimization
- Continuous Learning: Feedback loops to improve agent decision-making over time
- Multi-Agent Support: Tools for managing and coordinating multiple AI agents
- Integration Hub: Connects with popular AI tools like Claude Code, Codex, Cursor, GitHub Copilot, and Gemini
- Open-Source Option: Phoenix OSS for self-hosted observability and evaluations
Tech / Self-Hosting
- Managed Platform: Arize AX available as a cloud service
- Open-Source Core: Phoenix OSS available on GitHub for self-hosting
- CLI Tools: Easy setup via npx for quick deployment
- Multi-Platform Support: Works across Linux, Windows, and macOS