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.
Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (π¦LlamaIndex, π¦βLangChain, Haystack, π§©DSPy) 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 Jupyter notebook, local machine, 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.
| Key Features | Availability |
|---|---|
| Tracing | β |
| Evaluation | β |
| Retrieval (RAG) Analysis | β |
| Datasets | β |
| Fine-Tuning Export | β |
| Annotations | β |
| Human Feedback | β |
| Experiments | β |
| Embeddings Analysis | β |
| Data Export | β |
| REST API | β |
| GraphQL API | β |
| Data Retention | Costomizable |
| Authentication | β |
| Social Login | β |
| RBAC | β |
| Projects | β |
| Self-Hosting | β |
| Jupyter Notebooks | β |
| Sessions | In Progress π§ |
| Prompt Playground | In Progress π§ |
| Prompt Management | Coming soon β±οΈ |
Phoenix is built on top of OpenTelemetry and is vendor, language, and framework agnostic.
Python
| Integration | Package | Version Badge |
|---|---|---|
| OpenAI | openinference-instrumentation-openai |
 |
| LlamaIndex | openinference-instrumentation-llama-index |
 |
| DSPy | openinference-instrumentation-dspy |
 |
| AWS Bedrock | openinference-instrumentation-bedrock |
 |
| LangChain | openinference-instrumentation-langchain |
 |
| MistralAI | openinference-instrumentation-mistralai |
 |
| Guardrails | openinference-instrumentation-guardrails |
 |
| VertexAI | openinference-instrumentation-vertexai |
 |
| CrewAI | openinference-instrumentation-crewai |
 |
| Haystack | openinference-instrumentation-haystack |
 |
| LiteLLM | openinference-instrumentation-litellm |
 |
| Groq | openinference-instrumentation-groq |
 |
| Instructor | openinference-instrumentation-instructor |
 |
| Anthropic | openinference-instrumentation-anthropic |
 |
| Integration | Package | Version Badge |
|---|---|---|
| OpenAI | @arizeai/openinference-instrumentation-openai |
 |
| LangChain.js | @arizeai/openinference-instrumentation-langchain |
 |
| Vercel AI SDK | @arizeai/openinference-vercel |
For details about tracing integrations and example applications, see the OpenInference project.
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.
- ποΈ Sign up for our mailing list.
- πΊοΈ Check out our roadmap to see where we're heading next.
See the migration guide for a list of breaking changes.
Copyright 2024 Arize AI, Inc. All Rights Reserved.
Portions of this code are patent protected by one or more U.S. Patents. See IP_NOTICE.
This software is licensed under the terms of the Elastic License 2.0 (ELv2). See LICENSE.