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Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:
- [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.
- [**_Evaluation_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
- [**_Datasets_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.
- [**_Experiments_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Track and evaluate changes to prompts, LLMs, and retrieval.
- [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls.
- [**_Prompt Management_**](https://arize.com/docs/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://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex), π¦β[LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain), [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack), π§©[DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy), π€[smolagents](https://arize.com/docs/phoenix/tracing/integrations-tracing/hfsmolagents)) and LLM providers ([OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai), [Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock), [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai), [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai), [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm), [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-genai) 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://arize.com/docs/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) |
| [OpenAI Agents](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-agents-sdk) | `openinference-instrumentation-openai-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) |
| [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex) | `openinference-instrumentation-llama-index` | [](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) |
| [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy) | `openinference-instrumentation-dspy` | [](https://pypi.python.org/pypi/openinference-instrumentation-dspy) |
| [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) |
| [LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) |
| [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [](https://pypi.python.org/pypi/openinference-instrumentation-mistralai) |
| [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-gen-ai) | `openinference-instrumentation-google-genai` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-genai) |
| [Google ADK](https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-adk-tracing) | `openinference-instrumentation-google-adk` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-adk) |
| [Guardrails](https://arize.com/docs/phoenix/tracing/integrations-tracing/guardrails) | `openinference-instrumentation-guardrails` | [](https://pypi.python.org/pypi/openinference-instrumentation-guardrails) |
| [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) |
| [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai) | `openinference-instrumentation-crewai` | [](https://pypi.python.org/pypi/openinference-instrumentation-crewai) |
| [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack) | `openinference-instrumentation-haystack` | [](https://pypi.python.org/pypi/openinference-instrumentation-haystack) |
| [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm) | `openinference-instrumentation-litellm` | [](https://pypi.python.org/pypi/openinference-instrumentation-litellm) |
| [Groq](https://arize.com/docs/phoenix/tracing/integrations-tracing/groq) | `openinference-instrumentation-groq` | [](https://pypi.python.org/pypi/openinference-instrumentation-groq) |
| [Instructor](https://arize.com/docs/phoenix/tracing/integrations-tracing/instructor) | `openinference-instrumentation-instructor` | [](https://pypi.python.org/pypi/openinference-instrumentation-instructor) |
| [Anthropic](https://arize.com/docs/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) |
| [Agno](https://arize.com/docs/phoenix/tracing/integrations-tracing/agno) | `openinference-instrumentation-agno` | [](https://pypi.python.org/pypi/openinference-instrumentation-agno) |
| [MCP](https://arize.com/docs/phoenix/tracing/integrations-tracing/model-context-protocol-mcp) | `openinference-instrumentation-mcp` | [](https://pypi.python.org/pypi/openinference-instrumentation-mcp) |
| [Pydantic AI](https://arize.com/docs/phoenix/integrations/pydantic) | `openinference-instrumentation-pydantic-ai` | [](https://pypi.python.org/pypi/openinference-instrumentation-pydantic-ai) |
| [Autogen AgentChat](https://arize.com/docs/phoenix/integrations/frameworks/autogen/autogen-tracing) | `openinference-instrumentation-autogen-agentchat` | [](https://pypi.python.org/pypi/openinference-instrumentation-autogen-agentchat) |
| [Portkey](https://arize.com/docs/phoenix/integrations/portkey) | `openinference-instrumentation-portkey` | [](https://pypi.python.org/pypi/openinference-instrumentation-portkey) |
### JavaScript Integrations
| Integration | Package | Version Badge |
| ------------------------------------------------------------------------------------------ | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-node-sdk) | `@arizeai/openinference-instrumentation-openai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai) |
| [LangChain.js](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `@arizeai/openinference-instrumentation-langchain` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-langchain) |
| [Vercel AI SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/vercel-ai-sdk) | `@arizeai/openinference-vercel` | [](https://www.npmjs.com/package/@arizeai/openinference-vercel) |
| [BeeAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/beeai) | `@arizeai/openinference-instrumentation-beeai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-beeai) |
| [Mastra](https://arize.com/docs/phoenix/integrations/mastra) | `@arizeai/openinference-mastra` | [](https://www.npmjs.com/package/@arizeai/openinference-mastra) |
### Platforms
Phoenix has native integrations with [LangFlow](https://arize.com/docs/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://arize.com/docs/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.
- π§βπ« Deep dive into everything [Agents](http://arize.com/ai-agents/) and [LLM Evaluations](https://arize.com/llm-evaluation) on Arize's Learning Hubs.
## 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).
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"description": "<p align=\"center\">\n <a target=\"_blank\" href=\"https://phoenix.arize.com\" style=\"background:none\">\n <img alt=\"phoenix banner\" src=\"https://github.com/Arize-ai/phoenix-assets/blob/main/images/socal/github-large-banner-phoenix-v2.jpg?raw=true\" width=\"auto\" height=\"auto\"></img>\n </a>\n <br/>\n <br/>\n <a href=\"https://arize.com/docs/phoenix/\">\n <img src=\"https://img.shields.io/static/v1?message=Docs&logo=data:image/png;base64,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&labelColor=grey&color=blue&logoColor=white&label=%20\"/>\n </a>\n <a target=\"_blank\" href=\"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\">\n <img src=\"https://img.shields.io/static/v1?message=Community&logo=slack&labelColor=grey&color=blue&logoColor=white&label=%20\"/>\n </a>\n <a target=\"_blank\" href=\"https://bsky.app/profile/arize-phoenix.bsky.social\">\n <img src=\"https://img.shields.io/badge/-phoenix-blue.svg?color=blue&labelColor=gray&logo=bluesky\">\n </a>\n <a target=\"_blank\" href=\"https://x.com/ArizePhoenix\">\n <img src=\"https://img.shields.io/badge/-ArizePhoenix-blue.svg?color=blue&labelColor=gray&logo=x\">\n </a>\n <a target=\"_blank\" href=\"https://pypi.org/project/arize-phoenix/\">\n <img src=\"https://img.shields.io/pypi/v/arize-phoenix?color=blue\">\n </a>\n <a target=\"_blank\" href=\"https://anaconda.org/conda-forge/arize-phoenix\">\n <img src=\"https://img.shields.io/conda/vn/conda-forge/arize-phoenix.svg?color=blue\">\n </a>\n <a target=\"_blank\" href=\"https://pypi.org/project/arize-phoenix/\">\n <img src=\"https://img.shields.io/pypi/pyversions/arize-phoenix\">\n </a>\n <a target=\"_blank\" href=\"https://hub.docker.com/r/arizephoenix/phoenix/tags\">\n <img src=\"https://img.shields.io/docker/v/arizephoenix/phoenix?sort=semver&logo=docker&label=image&color=blue\">\n </a>\n <a target=\"_blank\" href=\"https://hub.docker.com/r/arizephoenix/phoenix-helm\">\n <img src=\"https://img.shields.io/badge/Helm-blue?style=flat&logo=helm&labelColor=grey\"/>\n </a>\n <a target=\"_blank\" href=\"https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp\">\n <img src=\"https://badge.mcpx.dev?status=on\" title=\"MCP Enabled\"/>\n </a>\n <a href=\"https://cursor.com/install-mcp?name=phoenix&config=eyJjb21tYW5kIjoibnB4IC15IEBhcml6ZWFpL3Bob2VuaXgtbWNwQGxhdGVzdCAtLWJhc2VVcmwgaHR0cDovL2xvY2FsaG9zdDo2MDA2IC0tYXBpS2V5IHlvdXItYXBpLWtleSJ9\"><img src=\"https://cursor.com/deeplink/mcp-install-dark.svg\" alt=\"Add Arize Phoenix MCP server to Cursor\" height=20 /></a>\n</p>\n\nPhoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:\n\n- [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.\n- [**_Evaluation_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Leverage LLMs to benchmark your application's performance using response and retrieval evals.\n- [**_Datasets_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.\n- [**_Experiments_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Track and evaluate changes to prompts, LLMs, and retrieval.\n- [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls.\n- [**_Prompt Management_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts/prompt-management)- Manage and test prompt changes systematically using version control, tagging, and experimentation.\n\nPhoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (\ud83e\udd99[LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex), \ud83e\udd9c\u26d3[LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain), [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack), \ud83e\udde9[DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy), \ud83e\udd17[smolagents](https://arize.com/docs/phoenix/tracing/integrations-tracing/hfsmolagents)) and LLM providers ([OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai), [Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock), [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai), [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai), [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm), [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-genai) and more). For details on auto-instrumentation, check out the [OpenInference](https://github.com/Arize-ai/openinference) project.\n\nPhoenix runs practically anywhere, including your local machine, a Jupyter notebook, a containerized deployment, or in the cloud.\n\n## Installation\n\nInstall Phoenix via `pip` or `conda`\n\n```shell\npip install arize-phoenix\n```\n\nPhoenix container images are available via [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) and can be deployed using Docker or Kubernetes.\n\n## Packages\n\nThe `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.\n\n### Subpackages\n\n| Package | Language | Description |\n| --------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- |\n| [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 |\n| [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 |\n| [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 |\n| [@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 |\n| [@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 |\n\n## Tracing Integrations\n\nPhoenix 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.\n\n**Python Integrations**\n| Integration | Package | Version Badge |\n|------------------|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|\n| [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) |\n| [OpenAI Agents](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-agents-sdk) | `openinference-instrumentation-openai-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) |\n| [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex) | `openinference-instrumentation-llama-index` | [](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) |\n| [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy) | `openinference-instrumentation-dspy` | [](https://pypi.python.org/pypi/openinference-instrumentation-dspy) |\n| [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) |\n| [LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) |\n| [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [](https://pypi.python.org/pypi/openinference-instrumentation-mistralai) |\n| [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-gen-ai) | `openinference-instrumentation-google-genai` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-genai) |\n| [Google ADK](https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-adk-tracing) | `openinference-instrumentation-google-adk` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-adk) |\n| [Guardrails](https://arize.com/docs/phoenix/tracing/integrations-tracing/guardrails) | `openinference-instrumentation-guardrails` | [](https://pypi.python.org/pypi/openinference-instrumentation-guardrails) |\n| [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) |\n| [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai) | `openinference-instrumentation-crewai` | [](https://pypi.python.org/pypi/openinference-instrumentation-crewai) |\n| [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack) | `openinference-instrumentation-haystack` | [](https://pypi.python.org/pypi/openinference-instrumentation-haystack) |\n| [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm) | `openinference-instrumentation-litellm` | [](https://pypi.python.org/pypi/openinference-instrumentation-litellm) |\n| [Groq](https://arize.com/docs/phoenix/tracing/integrations-tracing/groq) | `openinference-instrumentation-groq` | [](https://pypi.python.org/pypi/openinference-instrumentation-groq) |\n| [Instructor](https://arize.com/docs/phoenix/tracing/integrations-tracing/instructor) | `openinference-instrumentation-instructor` | [](https://pypi.python.org/pypi/openinference-instrumentation-instructor) |\n| [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic) | `openinference-instrumentation-anthropic` | [](https://pypi.python.org/pypi/openinference-instrumentation-anthropic) |\n| [Smolagents](https://huggingface.co/docs/smolagents/en/tutorials/inspect_runs) | `openinference-instrumentation-smolagents` | [](https://pypi.python.org/pypi/openinference-instrumentation-smolagents) |\n| [Agno](https://arize.com/docs/phoenix/tracing/integrations-tracing/agno) | `openinference-instrumentation-agno` | [](https://pypi.python.org/pypi/openinference-instrumentation-agno) |\n| [MCP](https://arize.com/docs/phoenix/tracing/integrations-tracing/model-context-protocol-mcp) | `openinference-instrumentation-mcp` | [](https://pypi.python.org/pypi/openinference-instrumentation-mcp) |\n| [Pydantic AI](https://arize.com/docs/phoenix/integrations/pydantic) | `openinference-instrumentation-pydantic-ai` | [](https://pypi.python.org/pypi/openinference-instrumentation-pydantic-ai) |\n| [Autogen AgentChat](https://arize.com/docs/phoenix/integrations/frameworks/autogen/autogen-tracing) | `openinference-instrumentation-autogen-agentchat` | [](https://pypi.python.org/pypi/openinference-instrumentation-autogen-agentchat) |\n| [Portkey](https://arize.com/docs/phoenix/integrations/portkey) | `openinference-instrumentation-portkey` | [](https://pypi.python.org/pypi/openinference-instrumentation-portkey) |\n\n### JavaScript Integrations\n\n| Integration | Package | Version Badge |\n| ------------------------------------------------------------------------------------------ | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-node-sdk) | `@arizeai/openinference-instrumentation-openai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai) |\n| [LangChain.js](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `@arizeai/openinference-instrumentation-langchain` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-langchain) |\n| [Vercel AI SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/vercel-ai-sdk) | `@arizeai/openinference-vercel` | [](https://www.npmjs.com/package/@arizeai/openinference-vercel) |\n| [BeeAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/beeai) | `@arizeai/openinference-instrumentation-beeai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-beeai) |\n| [Mastra](https://arize.com/docs/phoenix/integrations/mastra) | `@arizeai/openinference-mastra` | [](https://www.npmjs.com/package/@arizeai/openinference-mastra) |\n\n### Platforms\n\nPhoenix has native integrations with [LangFlow](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow), LiteLLM Proxy, and [BeeAI](https://docs.beeai.dev/observability/agents-traceability).\n\n## Community\n\nJoin our community to connect with thousands of AI builders.\n\n- \ud83c\udf0d 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).\n- \ud83d\udcda Read our [documentation](https://arize.com/docs/phoenix).\n- \ud83d\udca1 Ask questions and provide feedback in the _#phoenix-support_ channel.\n- \ud83c\udf1f Leave a star on our [GitHub](https://github.com/Arize-ai/phoenix).\n- \ud83d\udc1e Report bugs with [GitHub Issues](https://github.com/Arize-ai/phoenix/issues).\n- \ud835\udd4f Follow us on [\ud835\udd4f](https://twitter.com/ArizePhoenix).\n- \ud83d\uddfa\ufe0f Check out our [roadmap](https://github.com/orgs/Arize-ai/projects/45) to see where we're heading next.\n- \ud83e\uddd1\u200d\ud83c\udfeb Deep dive into everything [Agents](http://arize.com/ai-agents/) and [LLM Evaluations](https://arize.com/llm-evaluation) on Arize's Learning Hubs.\n\n## Breaking Changes\n\nSee the [migration guide](./MIGRATION.md) for a list of breaking changes.\n\n## Copyright, Patent, and License\n\nCopyright 2025 Arize AI, Inc. All Rights Reserved.\n\nPortions 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).\n\nThis software is licensed under the terms of the Elastic License 2.0 (ELv2). See [LICENSE](https://github.com/Arize-ai/phoenix/blob/main/LICENSE).\n",
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