https://github.com/arize-ai/phoenix

AI Observability & Evaluation
https://github.com/arize-ai/phoenix
agents ai-monitoring ai-observability aiengineering anthropic datasets evals langchain llamaindex llm-eval llm-evaluation llmops llms openai prompt-engineering smolagents
Last synced: 7 days ago
JSON representation
AI Observability & Evaluation
Host: GitHub
URL: https://github.com/arize-ai/phoenix
Owner: Arize-ai
License: other
Created: 2022-11-09T23:44:35.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2026-05-23T16:51:50.000Z (11 days ago)
Last Synced: 2026-05-23T18:24:06.427Z (11 days ago)
Topics: agents, ai-monitoring, ai-observability, aiengineering, anthropic, datasets, evals, langchain, llamaindex, llm-eval, llm-evaluation, llmops, llms, openai, prompt-engineering, smolagents
Language: Python
Homepage: https://arize.com/docs/phoenix
Size: 455 MB
Stars: 9,804
Watchers: 56
Forks: 887
Open Issues: 518
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
- Agents: AGENTS.md
- Cla: CLA.md
Awesome Lists containing this project

awesome-ChatGPT-repositories - phoenix - AI Observability & Evaluation (Prompts)
Awesome-LLMOps - phoenix - ai/phoenix.svg?style=flat&color=green) ![Contributors](https://img.shields.io/github/contributors/arize-ai/phoenix?color=green) ![LastCommit](https://img.shields.io/github/last-commit/arize-ai/phoenix?color=green) (Orchestration / Application Framework)
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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 ([OpenAI Agents SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-agents-sdk), [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/python/claude-agent-sdk), [LangGraph](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain), [Vercel AI SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/vercel-ai-sdk), [Mastra](https://arize.com/docs/phoenix/integrations/typescript/mastra), [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai), [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex), [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy)) and LLM providers ([OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai), [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic), [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-genai), [Google ADK](https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-adk-tracing), [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock), [OpenRouter](https://arize.com/docs/phoenix/integrations/python/openrouter), [LiteLLM](https://arize.com/docs/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. Arize AI also provides cloud instances at [app.phoenix.arize.com](https://app.phoenix.arize.com/).

## Packages

The `arize-phoenix` package includes the entire Phoenix platform. However, if you have deployed the Phoenix platform, there are lightweight Python sub-packages and TypeScript packages that can be used in conjunction with the platform.

### Python Subpackages

| Package                                                                                       | Version & Docs                                                                                                                                                                                                                                                                      | Description                                                                                |

| --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |

| [arize-phoenix-otel](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-otel)     | [![PyPI Version](https://img.shields.io/pypi/v/arize-phoenix-otel)](https://pypi.org/project/arize-phoenix-otel/) [![Docs](https://img.shields.io/badge/docs-blue?logo=readthedocs&logoColor=white)](https://arize-phoenix.readthedocs.io/projects/otel/en/latest/index.html)       | 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) | [![PyPI Version](https://img.shields.io/pypi/v/arize-phoenix-client)](https://pypi.org/project/arize-phoenix-client/) [![Docs](https://img.shields.io/badge/docs-blue?logo=readthedocs&logoColor=white)](https://arize-phoenix.readthedocs.io/projects/client/en/latest/index.html) | 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)   | [![PyPI Version](https://img.shields.io/pypi/v/arize-phoenix-evals)](https://pypi.org/project/arize-phoenix-evals/) [![Docs](https://img.shields.io/badge/docs-blue?logo=readthedocs&logoColor=white)](https://arize-phoenix.readthedocs.io/projects/evals/en/latest/index.html)    | Tooling to evaluate LLM applications including RAG relevance, answer relevance, and more   |

### TypeScript Subpackages

| Package                                                                                             | Version & Docs                                                                                                                                                                                                                                                                                 | Description                                                                                                  |

| --------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |

| [@arizeai/phoenix-otel](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-otel)     | [![NPM Version](https://img.shields.io/npm/v/%40arizeai%2Fphoenix-otel)](https://www.npmjs.com/package/@arizeai/phoenix-otel) [![Docs](https://img.shields.io/badge/docs-blue?logo=typescript&logoColor=white)](https://arize-ai.github.io/phoenix/)                                           | Provides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults                   |

| [@arizeai/phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-client) | [![NPM Version](https://img.shields.io/npm/v/%40arizeai%2Fphoenix-client)](https://www.npmjs.com/package/@arizeai/phoenix-client) [![Docs](https://img.shields.io/badge/docs-blue?logo=typescript&logoColor=white)](https://arize-ai.github.io/phoenix/)                                       | Client for the Arize Phoenix API                                                                             |

| [@arizeai/phoenix-evals](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-evals)   | [![NPM Version](https://img.shields.io/npm/v/%40arizeai%2Fphoenix-evals)](https://www.npmjs.com/package/@arizeai/phoenix-evals) [![Docs](https://img.shields.io/badge/docs-blue?logo=typescript&logoColor=white)](https://arize-ai.github.io/phoenix/)                                         | TypeScript evaluation library for LLM applications (alpha release)                                           |

| [@arizeai/phoenix-mcp](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)       | [![NPM Version](https://img.shields.io/npm/v/%40arizeai%2Fphoenix-mcp)](https://www.npmjs.com/package/@arizeai/phoenix-mcp) [![Docs](https://img.shields.io/badge/docs-blue?logo=markdown&logoColor=white)](./js/packages/phoenix-mcp/README.md)                                               | MCP server implementation for Arize Phoenix providing unified interface to Phoenix's capabilities            |

| [@arizeai/phoenix-cli](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-cli)       | [![NPM Version](https://img.shields.io/npm/v/%40arizeai%2Fphoenix-cli)](https://www.npmjs.com/package/@arizeai/phoenix-cli) [![Docs](https://img.shields.io/badge/docs-blue?logo=typescript&logoColor=white)](https://arize.com/docs/phoenix/sdk-api-reference/typescript/arizeai-phoenix-cli) | CLI for fetching traces, datasets, and experiments for use with Claude Code, Cursor, and other coding agents |

## 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 |

|:---:|---|---|---|

|  | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openai.svg)](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` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openai-agents.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) |

|  | [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex) | `openinference-instrumentation-llama-index` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-llama-index.svg)](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) |

| | [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy) | `openinference-instrumentation-dspy` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-dspy.svg)](https://pypi.python.org/pypi/openinference-instrumentation-dspy) |

|  | [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-bedrock.svg)](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) |

|  | [LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-langchain.svg)](https://pypi.python.org/pypi/openinference-instrumentation-langchain) |

|  | [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-mistralai.svg)](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` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-google-genai.svg)](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` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-google-adk.svg)](https://pypi.python.org/pypi/openinference-instrumentation-google-adk) |

| | [Guardrails](https://arize.com/docs/phoenix/tracing/integrations-tracing/guardrails) | `openinference-instrumentation-guardrails` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-guardrails.svg)](https://pypi.python.org/pypi/openinference-instrumentation-guardrails) |

|  | [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-vertexai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) |

|  | [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai) | `openinference-instrumentation-crewai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-crewai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-crewai) |

| | [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack) | `openinference-instrumentation-haystack` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-haystack.svg)](https://pypi.python.org/pypi/openinference-instrumentation-haystack) |

| | [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm) | `openinference-instrumentation-litellm` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-litellm.svg)](https://pypi.python.org/pypi/openinference-instrumentation-litellm) |

|  | [Groq](https://arize.com/docs/phoenix/tracing/integrations-tracing/groq) | `openinference-instrumentation-groq` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-groq.svg)](https://pypi.python.org/pypi/openinference-instrumentation-groq) |

| | [Instructor](https://arize.com/docs/phoenix/tracing/integrations-tracing/instructor) | `openinference-instrumentation-instructor` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-instructor.svg)](https://pypi.python.org/pypi/openinference-instrumentation-instructor) |

|  | [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic) | `openinference-instrumentation-anthropic` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-anthropic.svg)](https://pypi.python.org/pypi/openinference-instrumentation-anthropic) |

|  | [Smolagents](https://huggingface.co/docs/smolagents/en/tutorials/inspect_runs) | `openinference-instrumentation-smolagents` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-smolagents.svg)](https://pypi.python.org/pypi/openinference-instrumentation-smolagents) |

| | [Agno](https://arize.com/docs/phoenix/tracing/integrations-tracing/agno) | `openinference-instrumentation-agno` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-agno.svg)](https://pypi.python.org/pypi/openinference-instrumentation-agno) |

|  | [MCP](https://arize.com/docs/phoenix/tracing/integrations-tracing/model-context-protocol-mcp) | `openinference-instrumentation-mcp` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-mcp.svg)](https://pypi.python.org/pypi/openinference-instrumentation-mcp) |

|  | [Pydantic AI](https://arize.com/docs/phoenix/integrations/python/pydantic) | `openinference-instrumentation-pydantic-ai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-pydantic-ai.svg)](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` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-autogen-agentchat.svg)](https://pypi.python.org/pypi/openinference-instrumentation-autogen-agentchat) |

| | [Portkey](https://arize.com/docs/phoenix/integrations/portkey) | `openinference-instrumentation-portkey` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-portkey.svg)](https://pypi.python.org/pypi/openinference-instrumentation-portkey) |

| | [Agent Spec](https://arize.com/docs/phoenix/tracing/integrations-tracing/agentspec) | `openinference-instrumentation-agentspec` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-agentspec.svg)](https://pypi.python.org/pypi/openinference-instrumentation-agentspec) |

|  | [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/python/claude-agent-sdk) | `openinference-instrumentation-claude-agent-sdk` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-claude-agent-sdk.svg)](https://pypi.python.org/pypi/openinference-instrumentation-claude-agent-sdk) |

## Span Processors

Normalize and convert data across other instrumentation libraries by adding span processors that unify data.

| Package                                                                                                           | Description                                                      | Version                                                                                                                                                                |

| ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |

| [`openinference-instrumentation-openlit`](./python/instrumentation/openinference-instrumentation-openlit)         | OpenInference Span Processor for OpenLIT traces.                 | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openlit.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openlit)         |

| [`openinference-instrumentation-openllmetry`](./python/instrumentation/openinference-instrumentation-openllmetry) | OpenInference Span Processor for OpenLLMetry (Traceloop) traces. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openllmetry.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) |

### JavaScript Integrations

| | Integration | Package | Version |

|:---:|---|---|---|

|  | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-node-sdk) | `@arizeai/openinference-instrumentation-openai` | [![NPM Version](https://img.shields.io/npm/v/@arizeai/openinference-instrumentation-openai.svg)](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai) |

|  | [LangChain.js](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `@arizeai/openinference-instrumentation-langchain` | [![NPM Version](https://img.shields.io/npm/v/@arizeai/openinference-instrumentation-langchain.svg)](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` | [![NPM Version](https://img.shields.io/npm/v/@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` | [![NPM Version](https://img.shields.io/npm/v/@arizeai/openinference-vercel)](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-beeai) |

|  | [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/typescript/claude-agent-sdk) | `@arizeai/openinference-instrumentation-claude-agent-sdk` | [![NPM Version](https://img.shields.io/npm/v/@arizeai%2Fopeninference-instrumentation-claude-agent-sdk.svg)](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-claude-agent-sdk) |

|  | [Mastra](https://arize.com/docs/phoenix/integrations/typescript/mastra) | `@mastra/arize` | [![NPM Version](https://img.shields.io/npm/v/@mastra/arize.svg)](https://www.npmjs.com/package/@mastra/arize) |

|  | [MCP](https://arize.com/docs/phoenix/integrations/typescript/mcp) | `@arizeai/openinference-instrumentation-mcp` | [![NPM Version](https://img.shields.io/npm/v/@arizeai%2Fopeninference-instrumentation-mcp.svg)](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-mcp) |

### Java Integrations

| | Integration | Package | Version |

|:---:|---|---|---|

|  | [LangChain4j](https://github.com/Arize-ai/openinference/tree/main/java/instrumentation/openinference-instrumentation-langchain4j) | `openinference-instrumentation-langchain4j` | [![Maven Central](https://img.shields.io/maven-central/v/com.arize/openinference-instrumentation-langchain4j.svg)](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-langchain4j) |

| | SpringAI | `openinference-instrumentation-springAI` | [![Maven Central](https://img.shields.io/maven-central/v/com.arize/openinference-instrumentation-springAI.svg)](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-springAI) |

|  | [Arconia](https://docs.arconia.io/arconia/latest/observability/semantic-conventions/openinference/) for Spring AI | `io.arconia:arconia-openinference-semantic-conventions` | [![Maven Central](https://img.shields.io/maven-central/v/io.arconia/arconia-openinference-ai-semantic-conventions.svg)](https://central.sonatype.com/artifact/io.arconia/arconia-openinference-ai-semantic-conventions) |

### Platforms

| | Platform | Description | Docs |

|:---:|---|---|---|

| | [BeeAI](https://docs.beeai.dev/observability/agents-traceability) | AI agent framework with built-in observability | [Integration Guide](https://docs.beeai.dev/observability/agents-traceability) |

|  | [Dify](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | Open-source LLM app development platform | [Integration Guide](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) |

| | [Envoy AI Gateway](https://github.com/envoyproxy/ai-gateway) | AI Gateway built on Envoy Proxy for AI workloads | [Integration Guide](https://github.com/envoyproxy/ai-gateway/tree/main/cmd/aigw#opentelemetry-setup-with-phoenix) |

| | [LangFlow](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | Visual framework for building multi-agent and RAG applications | [Integration Guide](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) |

| | [LiteLLM Proxy](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | Proxy server for LLMs | [Integration Guide](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) |

| | [Flowise](https://arize.com/docs/phoenix/integrations/platforms/flowise) | Visual framework for building LLM applications | [Integration Guide](https://arize.com/docs/phoenix/integrations/platforms/flowise) |

| | [Prompt Flow](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | Microsoft's prompt flow orchestration tool | [Integration Guide](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) |

|  | [NVIDIA NeMo](https://arize.com/docs/phoenix/integrations/python/nvidia) | NVIDIA NeMo Agent Toolkit for enterprise agents | [Integration Guide](https://arize.com/docs/phoenix/integrations/python/nvidia) |

| | [Graphite](https://arize.com/docs/phoenix/integrations/python/graphite) | Multi-agent LLM workflow framework with visual builder | [Integration Guide](https://arize.com/docs/phoenix/integrations/python/graphite) |

## Coding Agent Skills

This repository includes [skills](https://docs.anthropic.com/en/docs/claude-code/skills) that teach coding agents how to work with Phoenix. They are located in [`.agents/skills/`](.agents/skills/) and can be used with Claude Code, Cursor, and other compatible tools.

| Skill | Description |

| ----- | ----------- |

| [phoenix-cli](.agents/skills/phoenix-cli/) | Debug LLM applications using the Phoenix CLI — fetch traces, analyze errors, review experiments, and query the GraphQL API |

| [phoenix-evals](.agents/skills/phoenix-evals/) | Build and run evaluators for AI/LLM applications using Phoenix |

| [phoenix-tracing](.agents/skills/phoenix-tracing/) | OpenInference semantic conventions and instrumentation for tracing LLM applications |

## Security & Privacy

We take data security and privacy very seriously. For more details, see our [Security and Privacy documentation](https://arize.com/docs/phoenix/self-hosting/security/privacy).

### Telemetry

By default, Phoenix collects basic web analytics (e.g., page views, UI interactions) to help us understand how Phoenix is used and improve the product. **None of your trace data, evaluation results, or any sensitive information is ever collected.**

You can opt-out of telemetry by setting the environment variable: `PHOENIX_TELEMETRY_ENABLED=false`

## Community

Join our community to connect with thousands of AI builders.

- 🌍 Join our [Slack community](https://join.slack.com/t/arize-ai/shared_invite/zt-3r07iavnk-ammtATWSlF0pSrd1DsMW7g).

- 📚 Read our [documentation](https://arize.com/docs/phoenix).

- 💡 Ask questions and provide feedback in the _#phoenix-support_ channel.

- 🌟 Leave a star on our [GitHub](https://github.com/Arize-ai/phoenix).

- 🐞 Report bugs with [GitHub Issues](https://github.com/Arize-ai/phoenix/issues).

- 𝕏 Follow us on [𝕏](https://twitter.com/ArizePhoenix).

- 💼 Follow us on [LinkedIn](https://www.linkedin.com/showcase/113218220).

- 🗺️ Check out our [roadmap](https://github.com/orgs/Arize-ai/projects/45) to see where we're heading next.

- 🧑‍🏫 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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