Phoenix (Arize)
Open SourceFundedOpen-source LLM tracing and evaluation for AI governance and observability
About Phoenix (Arize)
Phoenix by Arize is an open-source platform designed to provide comprehensive tracing, evaluation, and optimization of large language model (LLM) applications in real time. It enables AI teams to collect detailed telemetry data using OpenTelemetry, facilitating full transparency and vendor-agnostic deployment without lock-in. The platform supports both automatic and manual instrumentation, allowing developers to gain total visibility into LLM workflows and identify issues such as hallucinations, poor responses, or failures in multi-step processes.
Targeted at enterprise AI developers and data science teams, Phoenix offers a flexible sandbox for prompt iteration, streamlined evaluation libraries with customizable templates, and tools for dataset clustering and visualization. By integrating human feedback and providing interactive debugging capabilities, it accelerates model fine-tuning and production readiness. Its open-source nature and self-hostable architecture make it suitable for organizations seeking control over their AI governance and observability infrastructure without vendor restrictions.
Key Capabilities
- ✓LLM application tracing with OpenTelemetry
- ✓Interactive prompt playground for model iteration
- ✓Streamlined evaluation with customizable templates
- ✓Dataset clustering and semantic visualization
- ✓Human feedback integration for model tuning
Integrations
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