Tool overview
Arize Phoenix is listed under AI Infrastructure & MLOps AI tools.
What is Arize Phoenix?
Arize Phoenix is an open-source platform for tracing, evaluating, annotating, experimenting with, and debugging LLM applications and agents. Teams can run it locally, in Docker or Kubernetes, in their own cloud, fully air-gapped, or through Phoenix Cloud.
Best for
AI engineering teams needing open tracing and evaluation infrastructure
Who is it for?
Decision note
Excellent for engineering teams that want an open, self-hostable observability and evaluation stack without tying core traces to a proprietary platform.
Key features
OpenTelemetry tracing for agents and LLM apps
Evaluation, annotation, and experiment workflows
Prompt management and dataset tooling
Free local, Docker, Kubernetes, and cloud deployment
Use cases
Trace multi-step agent behavior
Evaluate LLM and RAG quality
Compare prompt and model experiments
Debug production AI failures
Pros
- Fully open source under ELv2
- No self-hosted feature or usage limits
- Works with many models and frameworks
Cons
- Self-hosting requires infrastructure ownership
- ELv2 restricts competing managed-service resale
- Enterprise support and AX features are separate
Limitations
Phoenix improves observability but does not guarantee model correctness or safety. Teams still need representative datasets, domain-specific evaluations, access controls, retention policies, and operational review.
Pricing details
Billing options
Pricing note
Phoenix is free and open source with no self-hosting license fees, usage limits, or feature gates. Phoenix Cloud offers free instances. Arize AX is a separate commercial service with Free, $50 monthly Pro, and custom Enterprise tiers.
Supported languages
- English
Integrations
OpenTelemetry
OpenInference
LangChain
LlamaIndex
DSPy
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