Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:
- Tracing - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.
- Evaluation - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
- Datasets - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.
- Experiments - Track and evaluate changes to prompts, LLMs, and retrieval.
- Playground- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls.
- Prompt Mangement- Manage and test prompt changes systematically using version control, tagging, and experimentation.
Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (π¦LlamaIndex, π¦βLangChain, Haystack, π§©DSPy, π€smolagents) and LLM providers (OpenAI, Bedrock, MistralAI, VertexAI, LiteLLM, and more). For details on auto-instrumentation, check out the OpenInference project.
Phoenix runs practically anywhere, including your local machine, a Jupyter notebook, a containerized deployment, or in the cloud.
Install Phoenix via pip or conda
pip install arize-phoenixPhoenix container images are available via Docker Hub and can be deployed using Docker or Kubernetes.
Phoenix is built on top of OpenTelemetry and is vendor, language, and framework agnostic. For details about tracing integrations and example applications, see the OpenInference project.
Python Integrations
| Integration | Package | Version Badge |
|---|---|---|
| OpenAI | openinference-instrumentation-openai |
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| OpenAI Agents | openinference-instrumentation-openai-agents |
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| LlamaIndex | openinference-instrumentation-llama-index |
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| DSPy | openinference-instrumentation-dspy |
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| AWS Bedrock | openinference-instrumentation-bedrock |
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| LangChain | openinference-instrumentation-langchain |
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| MistralAI | openinference-instrumentation-mistralai |
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| Guardrails | openinference-instrumentation-guardrails |
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| VertexAI | openinference-instrumentation-vertexai |
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| CrewAI | openinference-instrumentation-crewai |
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| Haystack | openinference-instrumentation-haystack |
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| LiteLLM | openinference-instrumentation-litellm |
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| Groq | openinference-instrumentation-groq |
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| Instructor | openinference-instrumentation-instructor |
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| Anthropic | openinference-instrumentation-anthropic |
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| Smolagents | openinference-instrumentation-smolagents |
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| Integration | Package | Version Badge |
|---|---|---|
| OpenAI | @arizeai/openinference-instrumentation-openai |
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| LangChain.js | @arizeai/openinference-instrumentation-langchain |
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| Vercel AI SDK | @arizeai/openinference-vercel |
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| BeeAI | @arizeai/openinference-instrumentation-beeai |
|
Phoenix has native integrations with LangFlow, LiteLLM Proxy, and BeeAI.
Join our community to connect with thousands of AI builders.
- π Join our Slack community.
- π Read our documentation.
- π‘ Ask questions and provide feedback in the #phoenix-support channel.
- π Leave a star on our GitHub.
- π Report bugs with GitHub Issues.
- π Follow us on π.
- πΊοΈ Check out our roadmap to see where we're heading next.
See the migration guide for a list of breaking changes.
Copyright 2025 Arize AI, Inc. All Rights Reserved.
Portions of this code are patent protected by one or more U.S. Patents. See the IP_NOTICE.
This software is licensed under the terms of the Elastic License 2.0 (ELv2). See LICENSE.
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