Arize Phoenix
Open-Source LLM Tracing & Evaluation.
Overview
Arize Phoenix is an open-source library from Arize AI, a leading ML observability platform. Phoenix is designed for the evaluation and tracing of large language models. It allows developers to instrument their code to trace the execution of their LLM applications, visualize traces, and evaluate the performance of their models. It can be used locally or in a self-hosted environment, providing flexibility for different team needs.
✨ Key Features
- LLM Tracing
- OpenTelemetry Integration
- Evaluation of RAG systems
- Visualization of LLM calls
- Local and self-hosted deployment
- Prompt and response logging
- Performance monitoring
🎯 Key Differentiators
- Built on OpenTelemetry, making it vendor-agnostic
- Strong focus on both traditional ML and LLM observability
- Powerful visualization and debugging capabilities
Unique Value: Offers a unified observability solution for both traditional ML and LLMs, with the flexibility of an open-source, self-hostable component.
🎯 Use Cases (4)
✅ Best For
- Tracing and debugging of LLM applications to identify and resolve issues.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users looking for a fully managed, no-code platform without any setup.
🏆 Alternatives
Provides deeper ML observability features compared to some pure-play LLM evaluation tools.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
Free tier: Phoenix is open-source and free to use.
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