phoenix
<p align="center"> <a target="_blank" href="https://phoenix.arize.com" style="background:none"> <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> </a> <br/> <br/> <a href="https://arize.com/docs/phoenix/"> <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"/> </a> <a target="_blank" href="https://join.slack.com/t/arize-ai/shared_invite/zt-3r07iavnk-ammtATWSlF0pSrd1DsMW7g"> <img src="https://img.shields.io/static/v1?message=Community&logo=slack&labelColor=grey&color=blue&logoColor=white&label=%20"/> </a> <a target="_blank" href="https://bsky.app/profile/arize-phoenix.bsky.social"> <img src="https://img.shields.io/badge/-phoenix-blue.svg?color=blue&labelColor=gray&logo=bluesky"> </a> <a target="_blank" href="https://x.com/ArizePhoenix"> <img src="https://img.shields.io/badge/-ArizePhoenix-blue.svg?color=blue&labelColor=gray&logo=x"> </a> <a target="_blank" href="https://www.linkedin.com/showcase/113218220"> <img src="https://img.shields.io/badge/-ArizePhoenix-blue.svg?color=blue&labelColor=gray&logo=linkedin"> </a> <a target="_blank" href="https://pypi.org/project/arize-phoenix/"> <img src="https://img.shields.io/pypi/v/arize-phoenix?color=blue"> </a> <a target="_blank" href="https://anaconda.org/conda-forge/arize-phoenix"> <img src="https://img.shields.io/conda/vn/conda-forge/arize-phoenix.svg?color=blue"> </a> <a target="_blank" href="https://pypi.org/project/arize-phoenix/"> <img src="https://img.shields.io/pypi/pyversions/arize-phoenix"> </a> <a target="_blank" href="https://hub.docker.com/r/arizephoenix/phoenix/tags"> <img src="https://img.shields.io/docker/v/arizephoenix/phoenix?sort=semver&logo=docker&label=image&color=blue"> </a> <a target="_blank" href="https://hub.docker.com/r/arizephoenix/phoenix-helm"> <img src="https://img.shields.io/badge/Helm-blue?style=flat&logo=helm&labelColor=grey"/> </a> <a target="_blank" href="https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp"> <img src="https://badge.mcpx.dev?status=on" title="MCP Enabled"/> </a> <a href="cursor://anysphere.cursor-deeplink/mcp/install?name=phoenix&config=eyJjb21tYW5kIjoibnB4IC15IEBhcml6ZWFpL3Bob2VuaXgtbWNwQGxhdGVzdCAtLWJhc2VVcmwgaHR0cHM6Ly9teS1waG9lbml4LmNvbSAtLWFwaUtleSB5b3VyLWFwaS1rZXkifQ%3D%3D"><img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Add Arize Phoenix MCP server to Cursor" height=20 /></a> <img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=8e8e8b34-7900-43fa-a38f-1f070bd48c64&page=README.md" /> </p> 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. - [**_PXI (Built-in Agent)_**](https://arize.com/docs/phoenix/pxi) - Debug traces, iterate on prompts, and navigate Phoenix with an opt-in, permission-gated agent built into the product. 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) | [](https://pypi.org/project/arize-phoenix-otel/) [](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) | [](https://pypi.org/project/arize-phoenix-client/) [](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) | [](https://pypi.org/project/arize-phoenix-evals/) [](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) | [](https://www.npmjs.com/package/@arizeai/phoenix-otel) [](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) | [](https://www.npmjs.com/package/@arizeai/phoenix-client) [](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) | [](https://www.npmjs.com/package/@arizeai/phoenix-evals) [](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) | [](https://www.npmjs.com/package/@arizeai/phoenix-mcp) [](./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) | [](https://www.npmjs.com/package/@arizeai/phoenix-cli) [](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 | |:---:|---|---|---| | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/llamaindex-color.png" height="14"> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/bedrock-color.png" height="14"> | [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mistral-color.png" height="14"> | [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [](https://pypi.python.org/pypi/openinference-instrumentation-mistralai) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/google-color.png" height="14"> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/google-color.png" height="14"> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/vertexai-color.png" height="14"> | [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/crewai-color.png" height="14"> | [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) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/groq.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/groq.png"></picture> | [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) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/anthropic.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/anthropic.png"></picture> | [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic) | `openinference-instrumentation-anthropic` | [](https://pypi.python.org/pypi/openinference-instrumentation-anthropic) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/huggingface-color.png" height="14"> | [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) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mcp.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/mcp.png"></picture> | [MCP](https://arize.com/docs/phoenix/tracing/integrations-tracing/model-context-protocol-mcp) | `openinference-instrumentation-mcp` | [](https://pypi.python.org/pypi/openinference-instrumentation-mcp) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/pydanticai-color.png" height="14"> | [Pydantic AI](https://arize.com/docs/phoenix/integrations/python/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) | | | [Agent Spec](https://arize.com/docs/phoenix/tracing/integrations-tracing/agentspec) | `openinference-instrumentation-agentspec` | [](https://pypi.python.org/pypi/openinference-instrumentation-agentspec) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/claude-color.png" height="14"> | [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/python/claude-agent-sdk) | `openinference-instrumentation-claude-agent-sdk` | [](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. | [](https://pypi.python.org/pypi/openinference-instrumentation-openlit) | | [`openinference-instrumentation-openllmetry`](./python/instrumentation/openinference-instrumentation-openllmetry) | OpenInference Span Processor for OpenLLMetry (Traceloop) traces. | [](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) | ### JavaScript Integrations | | Integration | Package | Version | |:---:|---|---|---| | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangChain.js](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `@arizeai/openinference-instrumentation-langchain` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-langchain) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/vercel.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/vercel.png"></picture> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/claude-color.png" height="14"> | [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/typescript/claude-agent-sdk) | `@arizeai/openinference-instrumentation-claude-agent-sdk` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-claude-agent-sdk) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mastra.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/mastra.png"></picture> | [Mastra](https://arize.com/docs/phoenix/integrations/typescript/mastra) | `@mastra/arize` | [](https://www.npmjs.com/package/@mastra/arize) | | <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mcp.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/mcp.png"></picture> | [MCP](https://arize.com/docs/phoenix/integrations/typescript/mcp) | `@arizeai/openinference-instrumentation-mcp` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-mcp) | ### Java Integrations | | Integration | Package | Version | |:---:|---|---|---| | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangChain4j](https://github.com/Arize-ai/openinference/tree/main/java/instrumentation/openinference-instrumentation-langchain4j) | `openinference-instrumentation-langchain4j` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-langchain4j) | | | SpringAI | `openinference-instrumentation-springAI` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-springAI) | | <img src="https://avatars.githubusercontent.com/u/151681568" height="16"> | [Arconia](https://docs.arconia.io/arconia/latest/observability/semantic-conventions/openinference/) for Spring AI | `io.arconia:arconia-openinference-semantic-conventions` | [](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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/dify-color.png" height="14"> | [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) | | <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/nvidia-color.png" height="14"> | [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 β 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. - π Join our [Slack community](https://join.slack.com/t/arize-ai/shared_invite/zt-3r07iavnk-ammtATWSlF0pSrd1DsMW7g). - 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). - πΌ Follow us on [LinkedIn](https://www.linkedin.com/showcase/113218220). - 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).