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Ang Arize Phoenix ay ang open-source na AI observability platform ng Arize na idinisenyo para sa eksperimentasyon, ebalwasyon, at pag-troubleshoot. Para sa mga pinamamahalaang production workflow, nag-aalok din ang Arize ng [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme-tl). Ang Phoenix ay nagbibigay ng: - [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - I-trace ang runtime ng inyong LLM application gamit ang instrumentation na batay sa OpenTelemetry. - [**_Ebalwasyon_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Gamitin ang mga LLM upang i-benchmark ang performance ng inyong application gamit ang mga eval para sa response at retrieval. - [**_Mga Dataset_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Gumawa ng mga versioned na dataset ng mga halimbawa para sa eksperimentasyon, ebalwasyon, at fine-tuning. - [**_Mga Eksperimento_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Subaybayan at suriin ang mga pagbabago sa mga prompt, LLM, at retrieval. - [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- I-optimize ang mga prompt, ikumpara ang mga model, i-adjust ang mga parameter, at i-replay ang mga na-trace na LLM call. - [**_Pamamahala ng Prompt_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts/prompt-management)- Pamahalaan at subukan ang mga pagbabago sa prompt nang sistematiko gamit ang version control, tagging, at eksperimentasyon. - [**_PXI (Phoenix Intelligence)_**](https://arize.com/docs/phoenix/pxi) - Isang AI engineering agent na nakapaloob sa Phoenix para sa pag-debug ng mga trace, pag-iterate sa mga prompt, at pag-navigate sa produkto. - [**_Remote MCP Server_**](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server) - Ikonekta ang Claude Code, Cursor, at iba pang MCP client nang direkta sa `/mcp` endpoint ng inyong Phoenix instance upang mag-query ng mga trace, dataset, eksperimento, at iba pa.

Ang Phoenix ay vendor- at language-agnostic, na may handa nang suporta para sa mga sikat na framework ([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)) at mga LLM provider ([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), at marami pang iba). Para sa mga detalye tungkol sa auto-instrumentation, tingnan ang proyektong [OpenInference](https://github.com/Arize-ai/openinference). Ang Phoenix ay tumatakbo halos kahit saan, kabilang ang inyong lokal na makina, isang containerized deployment, o sa cloud. Tingnan ang [Mga Environment](https://arize.com/docs/phoenix/self-hosting) para sa gabay sa bawat opsyon, o dumiretso sa [Tracing Quickstart](https://arize.com/docs/phoenix/get-started/get-started-tracing). > [!NOTE] > Ang Phoenix ay open-source at self-hosted. Para sa isang pinamamahalaang platform, nag-aalok ang Arize ng [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme-tl) — ang parehong OpenTelemetry/OpenInference instrumentation ay gumagana sa dalawa. Tingnan ang [buong paghahambing](https://arize.com/docs/phoenix/resources/frequently-asked-questions/what-is-the-difference-between-phoenix-and-arize). ## Talaan ng Nilalaman - [Patakbuhin nang Lokal](#patakbuhin-nang-lokal) - [I-trace ang Inyong Application](#i-trace-ang-inyong-application) - [Pag-deploy](#pag-deploy) - [Mga Pakete](#mga-pakete) - [Mga Integrasyon para sa Tracing](#mga-integrasyon-para-sa-tracing) - [Mga Sandbox](#mga-sandbox) - [Para sa mga Tao at Coding Agent](#para-sa-mga-tao-at-coding-agent) - [Seguridad at Privacy](#seguridad-at-privacy) - [Komunidad](#komunidad) ## Patakbuhin nang Lokal I-install ang Phoenix sa pamamagitan ng `pip` o `conda` at magkaroon ng ganap na gumaganang Phoenix. Para sa lahat ng opsyon sa pag-install at pag-host, tingnan ang [gabay sa pag-install](https://arize.com/docs/phoenix). ```shell pip install arize-phoenix phoenix serve ``` O patakbuhin ito nang walang install gamit ang [`uvx`](https://docs.astral.sh/uv/): ```shell uvx arize-phoenix serve ``` ## I-trace ang Inyong Application Ang pinakamabilis na paraan upang magpadala ng mga trace ay hayaan ang inyong [coding agent](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) (Claude Code, Codex, Cursor, at iba pa) na i-instrument ang inyong app. Mula sa directory ng inyong proyekto, patakbuhin ang: ```shell npx @arizeai/phoenix-cli setup # o, kung naka-install na ang Phoenix: px setup ``` Awtomatikong tinutukoy ng setup ang inyong framework at LLM provider, ini-install ang tamang [OpenInference](https://github.com/Arize-ai/openinference) instrumentation, at isinasaayos ang pag-export ng trace. Mas gusto ba ninyong isaayos ito sa code? Tingnan ang [dokumentasyon sa tracing](https://arize.com/docs/phoenix/tracing/llm-traces). ## Pag-deploy Ang mga container image ng Phoenix ay makukuha sa [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) at maaaring i-deploy gamit ang Docker o Kubernetes sa pamamagitan ng [Helm chart](https://github.com/Arize-ai/phoenix/tree/main/helm). Para sa Docker Compose, Kubernetes/Helm, at iba pang opsyon sa pag-deploy, tingnan ang [dokumentasyon sa self-hosting](https://arize.com/docs/phoenix/self-hosting).

> [!NOTE] > Ang Google Cloud button ay nagbu-build ng Phoenix mula sa source sa Cloud Shell sa halip na i-deploy ang prebuilt na Docker Hub image. Ang Azure template ay naghahatid ng plain HTTP (hindi nagte-terminate ng TLS ang Azure Container Instances) — lagyan ito ng TLS proxy sa harap, gaya ng Application Gateway, bago gamitin sa production. ## Mga Pakete Ang `arize-phoenix` package ay naglalaman ng buong Phoenix platform. Gayunpaman, kung na-deploy na ninyo ang Phoenix platform, may mga magaang Python sub-package at TypeScript package na maaaring gamitin kasabay ng platform. ### Mga Python Subpackage | Pakete | Bersyon at Dokumentasyon | Paglalarawan | | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ | | [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) | Nagbibigay ng magaang wrapper sa mga primitive ng OpenTelemetry na may mga default na angkop sa Phoenix | | [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) | Magaang client para makipag-ugnayan sa Phoenix server sa pamamagitan ng OpenAPI REST interface nito | | [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) | Mga tool para suriin ang mga LLM application, kabilang ang RAG relevance, answer relevance, at iba pa | ### Mga TypeScript Subpackage | Pakete | Bersyon at Dokumentasyon | Paglalarawan | | --------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ | | [@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/) | Nagbibigay ng magaang wrapper sa mga primitive ng OpenTelemetry na may mga default na angkop sa Phoenix | | [@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 para sa 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 na library sa ebalwasyon para sa mga LLM application (alpha release) | | [@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 para kumuha ng mga trace, dataset, at eksperimento para gamitin sa Claude Code, Cursor, at iba pang coding agent | ## Mga Integrasyon para sa Tracing Ang Phoenix ay binuo sa ibabaw ng OpenTelemetry at ito ay vendor-, language-, at framework-agnostic. Para sa mga detalye tungkol sa mga tracing integration at mga halimbawang application, tingnan ang proyektong [OpenInference](https://github.com/Arize-ai/openinference) at ang [dokumentasyon sa mga integration](https://arize.com/docs/phoenix/integrations). **Mga Integrasyon ng Python** | | Integrasyon | Pakete | Bersyon | |:---:|---|---|---| |

| [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) | |

| [LangGraph](https://arize.com/docs/phoenix/integrations/python/langgraph) | `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) | |

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

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

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

| [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) | | | [OpenRouter](https://arize.com/docs/phoenix/integrations/llm-providers/openrouter) | `openinference-instrumentation-openai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openai) | | | [OrcaRouter](https://arize.com/docs/phoenix/integrations/llm-providers/orcarouter) | `openinference-instrumentation-openai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openai) | |

| [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) | | | [BeeAI](https://arize.com/docs/phoenix/integrations/python/beeai) | `openinference-instrumentation-beeai` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-beeai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-beeai) | | | [Strands Agents](https://arize.com/docs/phoenix/integrations/python/strands-agents) | `openinference-instrumentation-strands-agents` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-strands-agents.svg)](https://pypi.python.org/pypi/openinference-instrumentation-strands-agents) | | | [Restate](https://arize.com/docs/phoenix/integrations/python/restate) | `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) | |

| [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) | | | [AG2](https://arize.com/docs/phoenix/integrations/python/ag2) | `openinference-instrumentation-ag2` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-ag2.svg)](https://pypi.python.org/pypi/openinference-instrumentation-ag2) | | | [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) | | | [TypeSafe AI](https://arize.com/docs/phoenix/integrations/llm-providers/typesafe/typesafe-python) | `openinference-instrumentation-typesafe` | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-typesafe.svg)](https://pypi.python.org/pypi/openinference-instrumentation-typesafe) | ## Mga Span Processor I-normalize at i-convert ang data mula sa iba pang instrumentation library sa pamamagitan ng pagdaragdag ng mga span processor na nagbubuklod sa data. | Pakete | Paglalarawan | Bersyon | | ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [`openinference-instrumentation-openlit`](https://pypi.org/project/openinference-instrumentation-openlit/) | OpenInference Span Processor para sa mga OpenLIT trace. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openlit.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openlit) | | [`openinference-instrumentation-openllmetry`](https://pypi.org/project/openinference-instrumentation-openllmetry/) | OpenInference Span Processor para sa mga OpenLLMetry (Traceloop) trace. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openllmetry.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) | ### Mga Integrasyon ng JavaScript | | Integrasyon | Pakete | Bersyon | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------- | --------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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) | |

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

| [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) | | | [TanStack AI](https://arize.com/docs/phoenix/integrations/typescript/tanstack-ai) | `@arizeai/openinference-tanstack-ai` | [![NPM Version](https://img.shields.io/npm/v/@arizeai/openinference-tanstack-ai.svg)](https://www.npmjs.com/package/@arizeai/openinference-tanstack-ai) | |

| [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-instrumentation-beeai.svg)](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) | | | [TypeSafe AI](https://arize.com/docs/phoenix/integrations/llm-providers/typesafe/typesafe-typescript) | `@arizeai/openinference-instrumentation-typesafe` | [![NPM Version](https://img.shields.io/npm/v/@arizeai%2Fopeninference-instrumentation-typesafe.svg)](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-typesafe) | ### Mga Integrasyon ng Java | | Integrasyon | Pakete | Bersyon | | :-------------------------------------------------------------------------------------------------: | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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/) para sa 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) | |

| [Google ADK](https://arize.com/docs/phoenix/integrations/java/google-adk/google-adk-tracing) | `openinference-instrumentation-adk-java` | [![Maven Central](https://img.shields.io/maven-central/v/com.arize/openinference-instrumentation-adk-java.svg)](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-adk-java) | ### Mga Integrasyon ng Go | | Integrasyon | Pakete | Bersyon | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [OpenAI](https://github.com/Arize-ai/openinference/tree/main/go/openinference-instrumentation-openai-go) | `github.com/Arize-ai/openinference/go/openinference-instrumentation-openai-go` | [![Go Reference](https://pkg.go.dev/badge/github.com/Arize-ai/openinference/go/openinference-instrumentation-openai-go.svg)](https://pkg.go.dev/github.com/Arize-ai/openinference/go/openinference-instrumentation-openai-go) | |

| [Anthropic](https://github.com/Arize-ai/openinference/tree/main/go/openinference-instrumentation-anthropic-sdk-go) | `github.com/Arize-ai/openinference/go/openinference-instrumentation-anthropic-sdk-go` | [![Go Reference](https://pkg.go.dev/badge/github.com/Arize-ai/openinference/go/openinference-instrumentation-anthropic-sdk-go.svg)](https://pkg.go.dev/github.com/Arize-ai/openinference/go/openinference-instrumentation-anthropic-sdk-go) | ### Mga Plataporma | | Plataporma | Paglalarawan | Dokumentasyon | | :----------------------------------------------------------------------------------------------: | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | | | [BeeAI](https://docs.beeai.dev/observability/agents-traceability) | AI agent framework na may built-in na observability | [Gabay sa Integrasyon](https://docs.beeai.dev/observability/agents-traceability) | |

| [Dify](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | Open-source na plataporma para sa pag-develop ng LLM app | [Gabay sa Integrasyon](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | | | [Envoy AI Gateway](https://github.com/envoyproxy/ai-gateway) | AI Gateway na binuo sa Envoy Proxy para sa mga AI workload | [Gabay sa Integrasyon](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 na framework para sa pagbuo ng mga multi-agent at RAG application | [Gabay sa Integrasyon](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 para sa mga LLM | [Gabay sa Integrasyon](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | | | [Flowise](https://arize.com/docs/phoenix/integrations/platforms/flowise) | Visual na framework para sa pagbuo ng mga LLM application | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/platforms/flowise) | | | [Prompt Flow](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | Tool ng Microsoft para sa orchestration ng prompt flow | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | |

| [NVIDIA NeMo](https://arize.com/docs/phoenix/integrations/python/nvidia) | NVIDIA NeMo Agent Toolkit para sa mga enterprise agent | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/python/nvidia) | | | [Graphite](https://arize.com/docs/phoenix/integrations/python/graphite) | Multi-agent na LLM workflow framework na may visual builder | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/python/graphite) | ### Mga Vector Database | Integrasyon | Paglalarawan | Dokumentasyon | | ----------------------------------------------------------------------------------- | ---------------------------------------------------- | --------------------------------------------------------------------------------------- | | [Qdrant](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | Staged na tracing ng hybrid search gamit ang dense, sparse, RRF | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | ## Mga Sandbox Patakbuhin ang mga [code evaluator](https://arize.com/docs/phoenix/evaluation/server-evals/code-evaluators) ng Phoenix sa mga hosted sandbox provider para sa kernel-level na isolation at pag-install ng mga dependency sa runtime. | Integrasyon | Paglalarawan | Dokumentasyon | | --------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------- | | [E2B](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | Mga hosted na micro-VM sandbox para sa code na ginawa ng AI | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | | [Daytona](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | Mga pinamamahalaang development sandbox na may snapshot startup | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | | [Vercel Sandbox](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | Pansamantalang compute sa infrastructure ng Vercel | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | | [Modal](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | Serverless at Python-first na container platform | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | | [Docker Sandboxes](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | Mga cloud sandbox na hino-host ng Docker | [Gabay sa Integrasyon](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | ## Para sa mga Tao at Coding Agent Ang Phoenix ay ginawa upang magamit ng mga tao at ng mga AI coding agent. Tatlong surface ang nagpapahintulot sa mga agent (Claude Code, Codex, Cursor, at iba pa) na gumana gamit ang inyong mga trace, dataset, at eksperimento: - **[CLI](https://arize.com/docs/phoenix/sdk-api-reference/typescript/arizeai-phoenix-cli)** — ang `npx @arizeai/phoenix-cli` ay kumukuha ng mga trace, dataset, at eksperimento at nag-i-instrument ng inyong app (`setup`), upang ang isang agent ay makakuha ng konteksto at kumilos dito mula sa terminal. - **[Skills](https://docs.anthropic.com/en/docs/claude-code/skills)** — ang [`skills/`](../../skills/) ay nagpa-package ng mga workflow na nagtuturo sa mga agent kung paano mag-debug, mag-evaluate, at mag-trace gamit ang Phoenix. - **[Remote MCP Server](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server)** — ikonekta ang anumang MCP client sa `/mcp` endpoint ng inyong instance upang direktang mag-query sa Phoenix. Tingnan ang [dokumentasyon sa mga coding agent](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) para sa setup at paggamit. | Kasanayan | Paglalarawan | | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | | [phoenix-cli](../../skills/phoenix-cli/) | Mag-debug ng mga LLM application gamit ang Phoenix CLI — kumuha ng mga trace, suriin ang mga error, repasuhin ang mga eksperimento, at mag-query sa GraphQL API | | [phoenix-evals](../../skills/phoenix-evals/) | Bumuo at magpatakbo ng mga evaluator para sa mga AI/LLM application gamit ang Phoenix | | [phoenix-tracing](../../skills/phoenix-tracing/) | Mga semantic convention at instrumentation ng OpenInference para sa pag-trace ng mga LLM application | ## Seguridad at Privacy Seryoso naming pinahahalagahan ang seguridad at privacy ng data. Para sa higit pang detalye, tingnan ang aming [dokumentasyon sa Seguridad at Privacy](https://arize.com/docs/phoenix/self-hosting/security/privacy). ### Telemetry Bilang default, nangongolekta ang Phoenix ng mga pangunahing web analytics (hal., mga page view, mga interaksyon sa UI) upang matulungan kaming maunawaan kung paano ginagamit ang Phoenix at mapabuti ang produkto. **Hindi kailanman kinokolekta ang inyong trace data, mga resulta ng ebalwasyon, o anumang sensitibong impormasyon.** Maaari ninyong i-opt out ang telemetry sa pamamagitan ng pag-set ng environment variable: `PHOENIX_TELEMETRY_ENABLED=false` ## Komunidad Sumali sa aming komunidad upang makipag-ugnayan sa libu-libong AI builder. - 🌍 Sumali sa aming [Slack community](https://join.slack.com/t/arize-ai/shared_invite/zt-3r07iavnk-ammtATWSlF0pSrd1DsMW7g). - 📚 Basahin ang aming [dokumentasyon](https://arize.com/docs/phoenix). - 💡 Magtanong at magbigay ng feedback sa _#phoenix-support_ channel. - 🌟 Mag-iwan ng star sa aming [GitHub](https://github.com/Arize-ai/phoenix). - 🐞 Mag-ulat ng mga bug sa [GitHub Issues](https://github.com/Arize-ai/phoenix/issues). - 𝕏 I-follow kami sa [𝕏](https://twitter.com/ArizePhoenix). - 💼 I-follow kami sa [LinkedIn](https://www.linkedin.com/showcase/113218220). - 🗺️ Tingnan ang aming [roadmap](https://github.com/orgs/Arize-ai/projects/45) upang malaman kung saan kami patungo. - 🧑‍🏫 Pag-aralan nang malalim ang lahat tungkol sa [Mga Agent](http://arize.com/ai-agents/) at [Mga LLM Evaluation](https://arize.com/llm-evaluation) sa mga Learning Hub ng Arize. ## Mga Breaking Change Tingnan ang [gabay sa migration](../../MIGRATION.md) para sa listahan ng mga breaking change. ## Copyright, Patent, at Lisensya Copyright 2025 Arize AI, Inc. Nakalaan ang Lahat ng Karapatan. Ang ilang bahagi ng code na ito ay protektado ng isa o higit pang U.S. Patent. Tingnan ang [IP_NOTICE](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE). Ang software na ito ay lisensyado sa ilalim ng mga tuntunin ng Elastic License 2.0 (ELv2). Tingnan ang [LICENSE](https://github.com/Arize-ai/phoenix/blob/main/LICENSE). ## Star History Phoenix is fully open source and built in the open. If it helps you, please [⭐ star the repo](https://github.com/Arize-ai/phoenix) to support the project.