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Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:
- [**_Tracing_**](https://docs.arize.com/phoenix/tracing/llm-traces) - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.
- [**_Evaluation_**](https://docs.arize.com/phoenix/evaluation/llm-evals) - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
- [**_Datasets_**](https://docs.arize.com/phoenix/datasets-and-experiments/overview-datasets) - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.
- [**_Experiments_**](https://docs.arize.com/phoenix/datasets-and-experiments/overview-datasets#experiments) - Track and evaluate changes to prompts, LLMs, and retrieval.
- [**_Playground_**](https://docs.arize.com/phoenix/prompt-engineering/overview-prompts)- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls.
- [**_Prompt Mangement_**](https://docs.arize.com/phoenix/prompt-engineering/overview-prompts/prompt-management)- 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](https://docs.arize.com/phoenix/tracing/integrations-tracing/llamaindex), π¦β[LangChain](https://docs.arize.com/phoenix/tracing/integrations-tracing/langchain), [Haystack](https://docs.arize.com/phoenix/tracing/integrations-tracing/haystack), π§©[DSPy](https://docs.arize.com/phoenix/tracing/integrations-tracing/dspy), π€[smolagents](https://docs.arize.com/phoenix/tracing/integrations-tracing/hfsmolagents)) and LLM providers ([OpenAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/openai), [Bedrock](https://docs.arize.com/phoenix/tracing/integrations-tracing/bedrock), [MistralAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/mistralai), [VertexAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/vertexai), [LiteLLM](https://docs.arize.com/phoenix/tracing/integrations-tracing/litellm), and more). For details on auto-instrumentation, check out the [OpenInference](https://github.com/Arize-ai/openinference) project.
Phoenix runs practically anywhere, including your local machine, a Jupyter notebook, a containerized deployment, or in the cloud.
## Installation
Install Phoenix via `pip` or `conda`
```shell
pip install arize-phoenix
```
Phoenix container images are available via [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) and can be deployed using Docker or Kubernetes.
## Packages
The `arize-phoenix` package includes the entire Phoenix platfom. However if you have deployed the Phoenix platform, there are light-weight Python sub-packages and TypeScript packages that can be used in conjunction with the platfrom.
### Subpackages
| Package | Language | Description |
| --------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- |
| [arize-phoenix-otel](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-otel) | Python [](https://pypi.org/project/arize-phoenix-otel/) | Provides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults |
| [arize-phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-client) | Python [](https://pypi.org/project/arize-phoenix-client/) | Lightweight client for interacting with the Phoenix server via its OpenAPI REST interface |
| [arize-phoenix-evals](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-evals) | Python [](https://pypi.org/project/arize-phoenix-evals/) | Tooling to evaluate LLM applications including RAG relevance, answer relevance, and more |
| [@arizeai/phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-client) | JavaScript [](https://www.npmjs.com/package/@arizeai/phoenix-client) | Client for the Arize Phoenix API |
| [@arizeai/phoenix-mcp](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp) | JavaScript [](https://www.npmjs.com/package/@arizeai/phoenix-mcp) | MCP server implementation for Arize Phoenix providing unified interface to Phoenix's capabilities |
## Tracing Integrations
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](https://github.com/Arize-ai/openinference) project.
**Python Integrations**
| Integration | Package | Version Badge |
|------------------|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|
| [OpenAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) |
| [OpenAI Agents](https://docs.arize.com/phoenix/tracing/integrations-tracing/openai-agents-sdk) | `openinference-instrumentation-openai-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) |
| [LlamaIndex](https://docs.arize.com/phoenix/tracing/integrations-tracing/llamaindex) | `openinference-instrumentation-llama-index` | [](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) |
| [DSPy](https://docs.arize.com/phoenix/tracing/integrations-tracing/dspy) | `openinference-instrumentation-dspy` | [](https://pypi.python.org/pypi/openinference-instrumentation-dspy) |
| [AWS Bedrock](https://docs.arize.com/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) |
| [LangChain](https://docs.arize.com/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) |
| [MistralAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [](https://pypi.python.org/pypi/openinference-instrumentation-mistralai) |
| [Guardrails](https://docs.arize.com/phoenix/tracing/integrations-tracing/guardrails) | `openinference-instrumentation-guardrails` | [](https://pypi.python.org/pypi/openinference-instrumentation-guardrails) |
| [VertexAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) |
| [CrewAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/crewai) | `openinference-instrumentation-crewai` | [](https://pypi.python.org/pypi/openinference-instrumentation-crewai) |
| [Haystack](https://docs.arize.com/phoenix/tracing/integrations-tracing/haystack) | `openinference-instrumentation-haystack` | [](https://pypi.python.org/pypi/openinference-instrumentation-haystack) |
| [LiteLLM](https://docs.arize.com/phoenix/tracing/integrations-tracing/litellm) | `openinference-instrumentation-litellm` | [](https://pypi.python.org/pypi/openinference-instrumentation-litellm) |
| [Groq](https://docs.arize.com/phoenix/tracing/integrations-tracing/groq) | `openinference-instrumentation-groq` | [](https://pypi.python.org/pypi/openinference-instrumentation-groq) |
| [Instructor](https://docs.arize.com/phoenix/tracing/integrations-tracing/instructor) | `openinference-instrumentation-instructor` | [](https://pypi.python.org/pypi/openinference-instrumentation-instructor) |
| [Anthropic](https://docs.arize.com/phoenix/tracing/integrations-tracing/anthropic) | `openinference-instrumentation-anthropic` | [](https://pypi.python.org/pypi/openinference-instrumentation-anthropic) |
| [Smolagents](https://huggingface.co/docs/smolagents/en/tutorials/inspect_runs) | `openinference-instrumentation-smolagents` | [](https://pypi.python.org/pypi/openinference-instrumentation-smolagents) |
### JavaScript Integrations
| Integration | Package | Version Badge |
| ------------------------------------------------------------------------------------------ | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [OpenAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/openai-node-sdk) | `@arizeai/openinference-instrumentation-openai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai) |
| [LangChain.js](https://docs.arize.com/phoenix/tracing/integrations-tracing/langchain.js) | `@arizeai/openinference-instrumentation-langchain` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-langchain) |
| [Vercel AI SDK](https://docs.arize.com/phoenix/tracing/integrations-tracing/vercel-ai-sdk) | `@arizeai/openinference-vercel` | [](https://www.npmjs.com/package/@arizeai/openinference-vercel) |
| [BeeAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/beeai) | `@arizeai/openinference-instrumentation-beeai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-beeai) |
### Platforms
Phoenix has native integrations with [LangFlow](https://docs.arize.com/phoenix/tracing/integrations-tracing/langflow), LiteLLM Proxy, and [BeeAI](https://docs.beeai.dev/observability/agents-traceability).
## Community
Join our community to connect with thousands of AI builders.
- π Join our [Slack community](https://arize-ai.slack.com/join/shared_invite/zt-11t1vbu4x-xkBIHmOREQnYnYDH1GDfCg?__hstc=259489365.a667dfafcfa0169c8aee4178d115dc81.1733501603539.1733501603539.1733501603539.1&__hssc=259489365.1.1733501603539&__hsfp=3822854628&submissionGuid=381a0676-8f38-437b-96f2-fc10875658df#/shared-invite/email).
- π Read our [documentation](https://docs.arize.com/phoenix).
- π‘ Ask questions and provide feedback in the _#phoenix-support_ channel.
- π Leave a star on our [GitHub](https://github.com/Arize-ai/phoenix).
- π Report bugs with [GitHub Issues](https://github.com/Arize-ai/phoenix/issues).
- π Follow us on [π](https://twitter.com/ArizePhoenix).
- πΊοΈ Check out our [roadmap](https://github.com/orgs/Arize-ai/projects/45) to see where we're heading next.
## Breaking Changes
See the [migration guide](./MIGRATION.md) for a list of breaking changes.
## Copyright, Patent, and License
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](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE).
This software is licensed under the terms of the Elastic License 2.0 (ELv2). See [LICENSE](https://github.com/Arize-ai/phoenix/blob/main/LICENSE).