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Arize Phoenix è la piattaforma open source di osservabilità AI di Arize, progettata per la sperimentazione, la valutazione e il troubleshooting. Per flussi di lavoro di produzione gestiti, Arize offre anche [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme-it). Phoenix offre: - [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - Tracciate l'esecuzione della vostra applicazione LLM con una strumentazione basata su OpenTelemetry. - [**_Valutazione_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Sfruttate gli LLM per misurare le prestazioni dell'applicazione tramite valutazioni delle risposte e del retrieval. - [**_Dataset_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Create dataset di esempi con versioni per sperimentazione, valutazione e fine-tuning. - [**_Esperimenti_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Tracciate e valutate le modifiche a prompt, LLM e retrieval. - [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- Ottimizzate i prompt, confrontate i modelli, regolate i parametri e riproducete le chiamate LLM tracciate. - [**_Gestione dei prompt_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts/prompt-management)- Gestite e testate sistematicamente le modifiche ai prompt con controllo di versione, tagging e sperimentazione. - [**_PXI (Phoenix Intelligence)_**](https://arize.com/docs/phoenix/pxi) - Un agente di AI engineering integrato in Phoenix per il debug delle trace, l'iterazione sui prompt e la navigazione nel prodotto. - [**_Server MCP remoto_**](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server) - Collegate Claude Code, Cursor e altri client MCP direttamente all'endpoint `/mcp` della vostra istanza Phoenix per interrogare trace, dataset, esperimenti e altro ancora.

Phoenix è indipendente dal fornitore e dal linguaggio, con supporto immediato per i framework più diffusi ([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)) e i provider LLM ([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) e altri). Per i dettagli sull'auto-strumentazione, consultate il progetto [OpenInference](https://github.com/Arize-ai/openinference). Phoenix funziona praticamente ovunque: sulla vostra macchina locale, in un deployment containerizzato o nel cloud. Consultate [Ambienti](https://arize.com/docs/phoenix/self-hosting) per una panoramica di ciascuna opzione, oppure passate direttamente al [Quickstart del tracing](https://arize.com/docs/phoenix/get-started/get-started-tracing). > [!NOTE] > Phoenix è open source e self-hosted. Per una piattaforma gestita, Arize offre [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme-it) — la stessa strumentazione OpenTelemetry/OpenInference funziona con entrambe. Consultate il [confronto completo](https://arize.com/docs/phoenix/resources/frequently-asked-questions/what-is-the-difference-between-phoenix-and-arize). ## Indice - [Esecuzione in locale](#esecuzione-in-locale) - [Tracciate la vostra applicazione](#tracciate-la-vostra-applicazione) - [Deployment](#deployment) - [Pacchetti](#pacchetti) - [Integrazioni di tracing](#integrazioni-di-tracing) - [Sandbox](#sandbox) - [Per persone e agenti di coding](#per-persone-e-agenti-di-coding) - [Sicurezza e privacy](#sicurezza-e-privacy) - [Community](#community) ## Esecuzione in locale Installate Phoenix tramite `pip` o `conda` per avere un Phoenix completamente funzionante. Per tutte le opzioni di installazione e hosting, consultate la [guida all'installazione](https://arize.com/docs/phoenix). ```shell pip install arize-phoenix phoenix serve ``` Oppure eseguitelo senza installazione usando [`uvx`](https://docs.astral.sh/uv/): ```shell uvx arize-phoenix serve ``` ## Tracciate la vostra applicazione Il modo più rapido per inviare trace è lasciare che il vostro [agente di coding](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) (Claude Code, Codex, Cursor e altri) strumenti la vostra app. Dalla directory del progetto, eseguite: ```shell npx @arizeai/phoenix-cli setup # oppure, con Phoenix installato: px setup ``` Il setup rileva il vostro framework e il provider LLM, installa la strumentazione [OpenInference](https://github.com/Arize-ai/openinference) appropriata e configura l'esportazione delle trace. Preferite configurarla nel codice? Consultate la [documentazione sul tracing](https://arize.com/docs/phoenix/tracing/llm-traces). ## Deployment Le immagini container di Phoenix sono disponibili su [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) e possono essere distribuite con Docker o Kubernetes tramite il [chart Helm](https://github.com/Arize-ai/phoenix/tree/main/helm). Per Docker Compose, Kubernetes/Helm e altre opzioni di deployment, consultate la [documentazione sul self-hosting](https://arize.com/docs/phoenix/self-hosting).

> [!NOTE] > Il pulsante Google Cloud compila Phoenix dal sorgente in Cloud Shell anziché distribuire l'immagine precompilata da Docker Hub. Il template Azure serve HTTP semplice (Azure Container Instances non termina TLS) — anteponetevi un proxy TLS, ad esempio un Application Gateway, prima dell'uso in produzione. ## Pacchetti Il pacchetto `arize-phoenix` include l'intera piattaforma Phoenix. Tuttavia, se avete già distribuito la piattaforma Phoenix, sono disponibili sottopacchetti Python e pacchetti TypeScript leggeri da usare insieme alla piattaforma. ### Sottopacchetti Python | Pacchetto | Versione e documentazione | Descrizione | | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ | | [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) | Fornisce un wrapper leggero attorno alle primitive OpenTelemetry con impostazioni predefinite pensate per 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) | Client leggero per interagire con il server Phoenix tramite la sua interfaccia REST OpenAPI | | [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) | Strumenti per valutare applicazioni LLM, tra cui rilevanza RAG, rilevanza delle risposte e altro | ### Sottopacchetti TypeScript | Pacchetto | Versione e documentazione | Descrizione | | --------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ | | [@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/) | Fornisce un wrapper leggero attorno alle primitive OpenTelemetry con impostazioni predefinite pensate per 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 per l'API di Arize Phoenix | | [@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/) | Libreria TypeScript di valutazione per applicazioni LLM (versione alpha) | | [@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 per recuperare trace, dataset ed esperimenti da usare con Claude Code, Cursor e altri agenti di coding | ## Integrazioni di tracing Phoenix è basato su OpenTelemetry ed è indipendente da fornitore, linguaggio e framework. Per i dettagli sulle integrazioni di tracing e sulle applicazioni di esempio, consultate il progetto [OpenInference](https://github.com/Arize-ai/openinference) e la [documentazione sulle integrazioni](https://arize.com/docs/phoenix/integrations). **Integrazioni Python** | | Integrazione | Pacchetto | Versione | |:---:|---|---|---| |

| [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 processor Normalizzate e convertite i dati provenienti da altre librerie di strumentazione aggiungendo span processor che uniformano i dati. | Pacchetto | Descrizione | Versione | | ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [`openinference-instrumentation-openlit`](https://pypi.org/project/openinference-instrumentation-openlit/) | Span processor OpenInference per le trace OpenLIT. | [![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/) | Span processor OpenInference per le trace OpenLLMetry (Traceloop). | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openllmetry.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) | ### Integrazioni JavaScript | | Integrazione | Pacchetto | Versione | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------- | --------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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) | ### Integrazioni Java | | Integrazione | Pacchetto | Versione | | :-------------------------------------------------------------------------------------------------: | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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/) per 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) | ### Integrazioni Go | | Integrazione | Pacchetto | Versione | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

| [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) | ### Piattaforme | | Piattaforma | Descrizione | Documentazione | | :----------------------------------------------------------------------------------------------: | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | | | [BeeAI](https://docs.beeai.dev/observability/agents-traceability) | Framework per agenti AI con osservabilità integrata | [Guida all'integrazione](https://docs.beeai.dev/observability/agents-traceability) | |

| [Dify](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | Piattaforma open source per lo sviluppo di app LLM | [Guida all'integrazione](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | | | [Envoy AI Gateway](https://github.com/envoyproxy/ai-gateway) | Gateway AI basato su Envoy Proxy per carichi di lavoro AI | [Guida all'integrazione](https://github.com/envoyproxy/ai-gateway/tree/main/cmd/aigw#opentelemetry-setup-with-phoenix) | | | [LangFlow](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | Framework visuale per creare applicazioni multi-agente e RAG | [Guida all'integrazione](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | | | [LiteLLM Proxy](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | Server proxy per LLM | [Guida all'integrazione](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | | | [Flowise](https://arize.com/docs/phoenix/integrations/platforms/flowise) | Framework visuale per creare applicazioni LLM | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/platforms/flowise) | | | [Prompt Flow](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | Strumento Microsoft per l'orchestrazione di flussi di prompt | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | |

| [NVIDIA NeMo](https://arize.com/docs/phoenix/integrations/python/nvidia) | NVIDIA NeMo Agent Toolkit per agenti enterprise | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/python/nvidia) | | | [Graphite](https://arize.com/docs/phoenix/integrations/python/graphite) | Framework per workflow LLM multi-agente con builder visuale | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/python/graphite) | ### Database vettoriali | Integrazione | Descrizione | Documentazione | | ----------------------------------------------------------------------------------- | ---------------------------------------------------- | --------------------------------------------------------------------------------------- | | [Qdrant](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | Tracing della ricerca ibrida a più fasi con dense, sparse e RRF | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | ## Sandbox Eseguite i [valutatori di codice](https://arize.com/docs/phoenix/evaluation/server-evals/code-evaluators) di Phoenix presso provider di sandbox ospitate, per l'isolamento a livello di kernel e l'installazione delle dipendenze a runtime. | Integrazione | Descrizione | Documentazione | | --------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------- | | [E2B](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | Sandbox micro-VM ospitate per codice generato dall'AI | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | | [Daytona](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | Sandbox di sviluppo gestite con avvio da snapshot | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | | [Vercel Sandbox](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | Risorse di calcolo effimere sull'infrastruttura di Vercel | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | | [Modal](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | Piattaforma container serverless pensata per Python | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | | [Docker Sandboxes](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | Sandbox cloud ospitate da Docker | [Guida all'integrazione](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | ## Per persone e agenti di coding Phoenix è progettato per essere usato sia dalle persone sia dagli agenti AI di coding. Tre interfacce consentono agli agenti (Claude Code, Codex, Cursor e altri) di lavorare con le vostre trace, i dataset e gli esperimenti: - **[CLI](https://arize.com/docs/phoenix/sdk-api-reference/typescript/arizeai-phoenix-cli)** — `npx @arizeai/phoenix-cli` recupera trace, dataset ed esperimenti e strumenta la vostra app (`setup`), così un agente può ottenere contesto e agire di conseguenza dal terminale. - **[Skills](https://docs.anthropic.com/en/docs/claude-code/skills)** — [`skills/`](../../skills/) raccoglie workflow che insegnano agli agenti come fare debug, valutare e tracciare con Phoenix. - **[Server MCP remoto](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server)** — collegate qualsiasi client MCP all'endpoint `/mcp` della vostra istanza per interrogare Phoenix direttamente. Consultate la [documentazione sugli agenti di coding](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) per configurazione e utilizzo. | Skill | Descrizione | | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | | [phoenix-cli](../../skills/phoenix-cli/) | Fate il debug di applicazioni LLM con la Phoenix CLI — recuperate trace, analizzate errori, esaminate esperimenti e interrogate l'API GraphQL | | [phoenix-evals](../../skills/phoenix-evals/) | Create ed eseguite valutatori per applicazioni AI/LLM con Phoenix | | [phoenix-tracing](../../skills/phoenix-tracing/) | Convenzioni semantiche e strumentazione OpenInference per il tracing di applicazioni LLM | ## Sicurezza e privacy Prendiamo molto sul serio la sicurezza e la privacy dei dati. Per maggiori dettagli, consultate la nostra [documentazione su sicurezza e privacy](https://arize.com/docs/phoenix/self-hosting/security/privacy). ### Telemetria Per impostazione predefinita, Phoenix raccoglie dati analitici web di base (ad es. visualizzazioni di pagina, interazioni con l'interfaccia) per aiutarci a capire come viene usato Phoenix e a migliorare il prodotto. **Nessuno dei vostri dati di trace, dei risultati delle valutazioni o di qualsiasi informazione sensibile viene mai raccolto.** Potete disattivare la telemetria impostando la variabile d'ambiente: `PHOENIX_TELEMETRY_ENABLED=false` ## Community Unitevi alla nostra community per entrare in contatto con migliaia di sviluppatori AI. - 🌍 Unitevi alla nostra [community Slack](https://join.slack.com/t/arize-ai/shared_invite/zt-3r07iavnk-ammtATWSlF0pSrd1DsMW7g). - 📚 Leggete la nostra [documentazione](https://arize.com/docs/phoenix). - 💡 Fate domande e lasciate feedback nel canale _#phoenix-support_. - 🌟 Lasciateci una stella su [GitHub](https://github.com/Arize-ai/phoenix). - 🐞 Segnalate i bug tramite [GitHub Issues](https://github.com/Arize-ai/phoenix/issues). - 𝕏 Seguiteci su [𝕏](https://twitter.com/ArizePhoenix). - 💼 Seguiteci su [LinkedIn](https://www.linkedin.com/showcase/113218220). - 🗺️ Consultate la nostra [roadmap](https://github.com/orgs/Arize-ai/projects/45) per scoprire le prossime novità. - 🧑‍🏫 Approfondite tutto su [agenti](http://arize.com/ai-agents/) e [valutazioni LLM](https://arize.com/llm-evaluation) nei Learning Hub di Arize. ## Modifiche incompatibili Consultate la [guida alla migrazione](../../MIGRATION.md) per l'elenco delle modifiche incompatibili. ## Copyright, brevetti e licenza Copyright 2025 Arize AI, Inc. Tutti i diritti riservati. Parti di questo codice sono protette da uno o più brevetti statunitensi. Consultate [IP_NOTICE](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE). Questo software è concesso in licenza secondo i termini della Elastic License 2.0 (ELv2). Consultate [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.