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Arize Phoenix is het open-source AI-observability-platform van Arize, ontworpen voor experimenteren, evalueren en troubleshooting. Voor beheerde productieworkflows biedt Arize ook [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme-nl) aan. Phoenix biedt: - [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - Trace de runtime van uw LLM-applicatie met instrumentatie op basis van OpenTelemetry. - [**_Evaluatie_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Zet LLM's in om de prestaties van uw applicatie te benchmarken met evals voor antwoorden en retrieval. - [**_Datasets_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Maak geversioneerde datasets met voorbeelden voor experimenten, evaluatie en fine-tuning. - [**_Experimenten_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Volg en evalueer wijzigingen in prompts, LLM's en retrieval. - [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- Optimaliseer prompts, vergelijk modellen, pas parameters aan en speel getracete LLM-aanroepen opnieuw af. - [**_Promptbeheer_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts/prompt-management)- Beheer en test promptwijzigingen systematisch met versiebeheer, tagging en experimenten. - [**_PXI (Phoenix Intelligence)_**](https://arize.com/docs/phoenix/pxi) - Een AI-engineeringagent ingebouwd in Phoenix voor het debuggen van traces, het itereren op prompts en het navigeren door het product. - [**_Remote MCP-server_**](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server) - Verbind Claude Code, Cursor en andere MCP-clients rechtstreeks met het `/mcp`-endpoint van uw Phoenix-instantie om traces, datasets, experimenten en meer op te vragen.

Phoenix is leverancier- en taalonafhankelijk, met kant-en-klare ondersteuning voor populaire 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)) en 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) en meer). Zie het [OpenInference](https://github.com/Arize-ai/openinference)-project voor details over auto-instrumentatie. Phoenix draait vrijwel overal, waaronder op uw lokale machine, in een gecontaineriseerde deployment of in de cloud. Zie [Omgevingen](https://arize.com/docs/phoenix/self-hosting) voor een overzicht van elke optie, of ga direct naar de [Tracing-quickstart](https://arize.com/docs/phoenix/get-started/get-started-tracing). > [!NOTE] > Phoenix is open-source en self-hosted. Voor een beheerd platform biedt Arize [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme-nl) aan — dezelfde OpenTelemetry/OpenInference-instrumentatie werkt met beide. Zie de [volledige vergelijking](https://arize.com/docs/phoenix/resources/frequently-asked-questions/what-is-the-difference-between-phoenix-and-arize). ## Inhoudsopgave - [Lokaal uitvoeren](#lokaal-uitvoeren) - [Uw applicatie tracen](#uw-applicatie-tracen) - [Deployen](#deployen) - [Packages](#packages) - [Tracing-integraties](#tracing-integraties) - [Sandboxes](#sandboxes) - [Voor mensen en coding agents](#voor-mensen-en-coding-agents) - [Beveiliging en privacy](#beveiliging-en-privacy) - [Community](#community) ## Lokaal uitvoeren Installeer Phoenix via `pip` of `conda` en u heeft een volledig functionerende Phoenix. Zie de [installatiehandleiding](https://arize.com/docs/phoenix) voor alle installatie- en hostingopties. ```shell pip install arize-phoenix phoenix serve ``` Of voer het zonder installatie uit met [`uvx`](https://docs.astral.sh/uv/): ```shell uvx arize-phoenix serve ``` ## Uw applicatie tracen De snelste manier om traces te versturen is uw [coding agent](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) (Claude Code, Codex, Cursor en andere) uw app te laten instrumenteren. Voer vanuit uw projectmap het volgende uit: ```shell npx @arizeai/phoenix-cli setup # of, met Phoenix geïnstalleerd: px setup ``` Setup detecteert uw framework en LLM-provider, installeert de juiste [OpenInference](https://github.com/Arize-ai/openinference)-instrumentatie en configureert de export van traces. Liever zelf in code configureren? Zie de [tracingdocumentatie](https://arize.com/docs/phoenix/tracing/llm-traces). ## Deployen Container-images van Phoenix zijn beschikbaar via [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) en kunnen met Docker of met Kubernetes via de [Helm-chart](https://github.com/Arize-ai/phoenix/tree/main/helm) worden gedeployed. Zie de [documentatie over self-hosting](https://arize.com/docs/phoenix/self-hosting) voor Docker Compose, Kubernetes/Helm en andere deploymentopties.

> [!NOTE] > De Google Cloud-knop bouwt Phoenix vanuit de broncode in Cloud Shell in plaats van de kant-en-klare Docker Hub-image te deployen. De Azure-template levert gewoon HTTP (Azure Container Instances termineert geen TLS) — plaats er vóór productiegebruik een TLS-proxy zoals een Application Gateway voor. ## Packages Het `arize-phoenix`-package bevat het volledige Phoenix-platform. Als u het Phoenix-platform echter al heeft gedeployed, zijn er lichtgewicht Python-subpackages en TypeScript-packages die samen met het platform kunnen worden gebruikt. ### Python-subpackages | Package | Versie en documentatie | Beschrijving | | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ | | [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) | Biedt een lichtgewicht wrapper rond OpenTelemetry-primitieven met standaardinstellingen voor 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) | Lichtgewicht client voor interactie met de Phoenix-server via de 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 om LLM-applicaties te evalueren, waaronder RAG-relevantie, antwoordrelevantie en meer | ### TypeScript-subpackages | Package | Versie en documentatie | Beschrijving | | --------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ | | [@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/) | Biedt een lichtgewicht wrapper rond OpenTelemetry-primitieven met standaardinstellingen voor 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 voor de 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-evaluatiebibliotheek voor LLM-applicaties (alfaversie) | | [@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 voor het ophalen van traces, datasets en experimenten voor gebruik met Claude Code, Cursor en andere coding agents | ## Tracing-integraties Phoenix is gebouwd op OpenTelemetry en is leverancier-, taal- en frameworkonafhankelijk. Zie het [OpenInference](https://github.com/Arize-ai/openinference)-project en de [integratiedocumentatie](https://arize.com/docs/phoenix/integrations) voor details over tracing-integraties en voorbeeldapplicaties. **Python-integraties** | | Integratie | Package | Versie | |:---:|---|---|---| |

| [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) | ## Span-processors Normaliseer en converteer data uit andere instrumentatiebibliotheken door span-processors toe te voegen die de data uniformeren. | Package | Beschrijving | Versie | | ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [`openinference-instrumentation-openlit`](https://pypi.org/project/openinference-instrumentation-openlit/) | OpenInference-span-processor voor 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`](https://pypi.org/project/openinference-instrumentation-openllmetry/) | OpenInference-span-processor voor OpenLLMetry-traces (Traceloop). | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openllmetry.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) | ### JavaScript-integraties | | Integratie | Package | Versie | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------- | --------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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) | ### Java-integraties | | Integratie | Package | Versie | | :-------------------------------------------------------------------------------------------------: | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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/) voor 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) | ### Go-integraties | | Integratie | Package | Versie | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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) | ### Platforms | | Platform | Beschrijving | Documentatie | | :----------------------------------------------------------------------------------------------: | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | | | [BeeAI](https://docs.beeai.dev/observability/agents-traceability) | Framework voor AI-agents met ingebouwde observability | [Integratiehandleiding](https://docs.beeai.dev/observability/agents-traceability) | |

| [Dify](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | Open-source platform voor het ontwikkelen van LLM-apps | [Integratiehandleiding](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | | | [Envoy AI Gateway](https://github.com/envoyproxy/ai-gateway) | AI-gateway gebouwd op Envoy Proxy voor AI-workloads | [Integratiehandleiding](https://github.com/envoyproxy/ai-gateway/tree/main/cmd/aigw#opentelemetry-setup-with-phoenix) | | | [LangFlow](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | Visueel framework voor het bouwen van multi-agent- en RAG-applicaties | [Integratiehandleiding](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | | | [LiteLLM Proxy](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | Proxyserver voor LLM's | [Integratiehandleiding](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | | | [Flowise](https://arize.com/docs/phoenix/integrations/platforms/flowise) | Visueel framework voor het bouwen van LLM-applicaties | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/platforms/flowise) | | | [Prompt Flow](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | Orkestratietool voor prompt flows van Microsoft | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | |

| [NVIDIA NeMo](https://arize.com/docs/phoenix/integrations/python/nvidia) | NVIDIA NeMo Agent Toolkit voor enterprise-agents | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/python/nvidia) | | | [Graphite](https://arize.com/docs/phoenix/integrations/python/graphite) | Multi-agent LLM-workflowframework met visuele builder | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/python/graphite) | ### Vectordatabases | Integratie | Beschrijving | Documentatie | | ----------------------------------------------------------------------------------- | ---------------------------------------------------- | --------------------------------------------------------------------------------------- | | [Qdrant](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | Tracing van gefaseerde hybride zoekopdrachten met dense, sparse en RRF | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | ## Sandboxes Voer Phoenix-[code-evaluators](https://arize.com/docs/phoenix/evaluation/server-evals/code-evaluators) uit bij gehoste sandboxproviders voor isolatie op kernelniveau en installatie van dependencies tijdens runtime. | Integratie | Beschrijving | Documentatie | | --------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------- | | [E2B](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | Gehoste micro-VM-sandboxes voor door AI gegenereerde code | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | | [Daytona](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | Beheerde ontwikkelsandboxes met opstarten vanuit snapshots | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | | [Vercel Sandbox](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | Tijdelijke rekenkracht op de infrastructuur van Vercel | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | | [Modal](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | Serverless containerplatform met Python als uitgangspunt | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | | [Docker Sandboxes](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | Cloudsandboxes gehost door Docker | [Integratiehandleiding](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | ## Voor mensen en coding agents Phoenix is gebouwd om zowel door mensen als door AI-coding agents te worden aangestuurd. Via drie interfaces kunnen agents (Claude Code, Codex, Cursor en andere) met uw traces, datasets en experimenten werken: - **[CLI](https://arize.com/docs/phoenix/sdk-api-reference/typescript/arizeai-phoenix-cli)** — `npx @arizeai/phoenix-cli` haalt traces, datasets en experimenten op en instrumenteert uw app (`setup`), zodat een agent vanuit de terminal context kan ophalen en ernaar kan handelen. - **[Skills](https://docs.anthropic.com/en/docs/claude-code/skills)** — [`skills/`](../../skills/) bundelt workflows die agents leren hoe ze met Phoenix kunnen debuggen, evalueren en tracen. - **[Remote MCP-server](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server)** — verbind elke MCP-client met het `/mcp`-endpoint van uw instantie om Phoenix rechtstreeks te bevragen. Zie de [documentatie over coding agents](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) voor installatie en gebruik. | Skill | Beschrijving | | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | | [phoenix-cli](../../skills/phoenix-cli/) | Debug LLM-applicaties met de Phoenix CLI — haal traces op, analyseer fouten, beoordeel experimenten en bevraag de GraphQL-API | | [phoenix-evals](../../skills/phoenix-evals/) | Bouw en draai evaluators voor AI/LLM-applicaties met Phoenix | | [phoenix-tracing](../../skills/phoenix-tracing/) | Semantische conventies en instrumentatie van OpenInference voor het tracen van LLM-applicaties | ## Beveiliging en privacy We nemen gegevensbeveiliging en privacy zeer serieus. Zie onze [documentatie over beveiliging en privacy](https://arize.com/docs/phoenix/self-hosting/security/privacy) voor meer details. ### Telemetrie Standaard verzamelt Phoenix basale webanalytics (bijv. paginaweergaven, UI-interacties) om ons te helpen begrijpen hoe Phoenix wordt gebruikt en het product te verbeteren. **Er worden nooit tracedata, evaluatieresultaten of andere gevoelige informatie van u verzameld.** U kunt telemetrie uitschakelen door de volgende omgevingsvariabele in te stellen: `PHOENIX_TELEMETRY_ENABLED=false` ## Community Word lid van onze community en kom in contact met duizenden AI-bouwers. - 🌍 Word lid van onze [Slack-community](https://join.slack.com/t/arize-ai/shared_invite/zt-3r07iavnk-ammtATWSlF0pSrd1DsMW7g). - 📚 Lees onze [documentatie](https://arize.com/docs/phoenix). - 💡 Stel vragen en geef feedback in het kanaal _#phoenix-support_. - 🌟 Geef ons een ster op [GitHub](https://github.com/Arize-ai/phoenix). - 🐞 Meld bugs via [GitHub Issues](https://github.com/Arize-ai/phoenix/issues). - 𝕏 Volg ons op [𝕏](https://twitter.com/ArizePhoenix). - 💼 Volg ons op [LinkedIn](https://www.linkedin.com/showcase/113218220). - 🗺️ Bekijk onze [roadmap](https://github.com/orgs/Arize-ai/projects/45) om te zien waar we naartoe gaan. - 🧑‍🏫 Duik dieper in alles over [agents](http://arize.com/ai-agents/) en [LLM-evaluaties](https://arize.com/llm-evaluation) in de Learning Hubs van Arize. ## Breaking changes Zie de [migratiehandleiding](../../MIGRATION.md) voor een lijst met breaking changes. ## Auteursrecht, patenten en licentie Copyright 2025 Arize AI, Inc. Alle rechten voorbehouden. Delen van deze code worden beschermd door een of meer Amerikaanse patenten. Zie de [IP_NOTICE](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE). Deze software is gelicentieerd onder de voorwaarden van de Elastic License 2.0 (ELv2). Zie [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.