{"id":13471728,"url":"https://github.com/Arize-ai/phoenix","last_synced_at":"2025-03-26T14:32:30.720Z","repository":{"id":153079151,"uuid":"564072810","full_name":"Arize-ai/phoenix","owner":"Arize-ai","description":"AI Observability \u0026 Evaluation","archived":false,"fork":false,"pushed_at":"2025-02-22T03:19:49.000Z","size":273458,"stargazers_count":4803,"open_issues_count":287,"forks_count":352,"subscribers_count":33,"default_branch":"main","last_synced_at":"2025-02-23T09:31:38.133Z","etag":null,"topics":["agents","ai-monitoring","ai-observability","aiengineering","anthropic","datasets","evals","langchain","llamaindex","llm-eval","llm-evaluation","llmops","llms","openai","prompt-engineering","smolagents"],"latest_commit_sha":null,"homepage":"https://docs.arize.com/phoenix","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Arize-ai.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-11-09T23:44:35.000Z","updated_at":"2025-02-23T07:28:11.000Z","dependencies_parsed_at":"2023-09-26T05:23:11.478Z","dependency_job_id":"aa568aee-4504-4231-a1b5-4187ffc0cad4","html_url":"https://github.com/Arize-ai/phoenix","commit_stats":null,"previous_names":[],"tags_count":396,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arize-ai%2Fphoenix","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arize-ai%2Fphoenix/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arize-ai%2Fphoenix/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arize-ai%2Fphoenix/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Arize-ai","download_url":"https://codeload.github.com/Arize-ai/phoenix/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245366176,"owners_count":20603443,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agents","ai-monitoring","ai-observability","aiengineering","anthropic","datasets","evals","langchain","llamaindex","llm-eval","llm-evaluation","llmops","llms","openai","prompt-engineering","smolagents"],"created_at":"2024-07-31T16:00:48.749Z","updated_at":"2025-03-26T14:32:25.706Z","avatar_url":"https://github.com/Arize-ai.png","language":"Jupyter Notebook","funding_links":[],"categories":["Generative AI","Table of Contents","Jupyter Notebook","👁️ Observability \u0026 Tracing","📊 エージェント評価とオブザーバビリティ","LLM and Agent Observability","Open-source LLM-backed app evaluation products","Python","Supporting Infrastructure","LLMOps","📈 Evaluation \u0026 Monitoring","By Language","LLM Observability","Observability","Tools","Evaluation and Monitoring","A01_文本生成_文本对话","Evaluation \u0026 Benchmarking","Data Validation","Tools \u0026 Code","LLM-as-Judge Evaluation","Other AI Tools","Tooling \u0026 Dev Experience","🏗️ Reference Implementations \u0026 Case Studies","Design Primitives","Cost Tracking, Observability, and Budgets","开源工具","Monitoring and Observability","\u003ca id=\"tools\"\u003e\u003c/a\u003e🛠️ Tools","🔍 Observability and Evaluation","Monitoring and Logging","Building","Tools \u0026 Platforms","Evaluation Frameworks","Librerías para usar NLP en español","Observability and Debugging","4. Fine-Tuning","Agent Integration \u0026 Deployment Tools","3）参考实现与开源工具（GitHub）","Testing and Evaluation","MCP Frameworks and libraries","GitHub projects","7. Agent Observability","Platforms","Observability and Monitoring","12. Miscellaneous","*Ops for AI","Observability \u0026 Monitoring","Agent Observability and Testing","🧠 AI Applications \u0026 Platforms","Observability \u0026 Debugging","Evaluation Metrics and Benchmarks","10. LLM \u0026 AI Observability","LLM Development and Optimization","LLM Testing / Monitoring","8. MLOps / LLMOps \u0026 Production","Agentic Systems","Agent Infrastructure"],"sub_categories":["LLM Interpretability Tools","3. The Enterprise / High-Scale Stack (The 1%)","自動運転","Observability","Production Observability","Popular-LLM","Data Science","Drift","大语言对话模型及数据","Development Tools","T14 · Observability","Observability \u0026 Tracing","Open source","可观测性","Bleeding Edge ⚗️","Tracing and Monitoring","Testing","Open Source Frameworks","Herramientas de observabilidad","Frameworks","AI Agent Gateway","沙箱、可观测与评测","Python","Memory Taxonomy","Open Source Platforms","Data \u0026 Alignment Tools","LLMOps","Resources","Benchmark Reality Check (real-world tool use)","Tools","Comparison Guides","Platforms","LLM Testing and Evaluation","Monitoring \u0026 Observability"],"readme":"\u003cp align=\"center\"\u003e\n    \u003ca target=\"_blank\" href=\"https://phoenix.arize.com\" style=\"background:none\"\u003e\n        \u003cimg alt=\"phoenix banner\" src=\"https://github.com/Arize-ai/phoenix-assets/blob/main/images/socal/github-large-banner-phoenix.jpg?raw=true\" width=\"auto\" height=\"auto\"\u003e\u003c/img\u003e\n   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src=\"https://img.shields.io/static/v1?message=Docs\u0026logo=data:image/png;base64,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\u0026labelColor=grey\u0026color=blue\u0026logoColor=white\u0026label=%20\"/\u003e\n    \u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://join.slack.com/t/arize-ai/shared_invite/zt-1px8dcmlf-fmThhDFD_V_48oU7ALan4Q\"\u003e\n        \u003cimg src=\"https://img.shields.io/static/v1?message=Community\u0026logo=slack\u0026labelColor=grey\u0026color=blue\u0026logoColor=white\u0026label=%20\"/\u003e\n    \u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://twitter.com/ArizePhoenix\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/-ArizePhoenix-blue.svg?color=blue\u0026labelColor=gray\u0026logo=twitter\"\u003e\n    \u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://pypi.org/project/arize-phoenix/\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/v/arize-phoenix?color=blue\"\u003e\n    \u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://anaconda.org/conda-forge/arize-phoenix\"\u003e\n        \u003cimg src=\"https://img.shields.io/conda/vn/conda-forge/arize-phoenix.svg?color=blue\"\u003e\n    \u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://pypi.org/project/arize-phoenix/\"\u003e\n        \u003cimg src=\"https://img.shields.io/pypi/pyversions/arize-phoenix\"\u003e\n    \u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://hub.docker.com/r/arizephoenix/phoenix/tags\"\u003e\n        \u003cimg src=\"https://img.shields.io/docker/v/arizephoenix/phoenix?sort=semver\u0026logo=docker\u0026label=image\u0026color=blue\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\nPhoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:\n\n- [**_Tracing_**](https://docs.arize.com/phoenix/tracing/integrations-tracing/llm-traces) - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.\n- [**_Evaluation_**](https://docs.arize.com/phoenix/evaluation/llm-evals) - Leverage LLMs to benchmark your application's performance using response and retrieval evals.\n- [**_Datasets_**](https://docs.arize.com/phoenix/datasets-and-experiments/overview-datasets) - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.\n- [**_Experiments_**](https://docs.arize.com/phoenix/datasets-and-experiments/overview-datasets#experiments) - Track and evaluate changes to prompts, LLMs, and retrieval.\n\nPhoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (🦙[LlamaIndex](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/llamaindex), 🦜⛓[LangChain](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/langchain), [Haystack](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/haystack), 🧩[DSPy](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/dspy)) and LLM providers ([OpenAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/openai), [Bedrock](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/bedrock), [MistralAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/mistralai), [VertexAI](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/vertexai), [LiteLLM](https://docs.arize.com/phoenix/tracing/integrations-tracing/integrations-tracing/litellm), and more). For details on auto-instrumentation, check out the [OpenInference](https://github.com/Arize-ai/openinference) project.\n\nPhoenix runs practically anywhere, including your Jupyter notebook, local machine, containerized deployment, or in the cloud.\n\n\u003cimg alt=\"phoenix_overview.gif\" width=\"100%\" src=\"https://github.com/Arize-ai/phoenix-assets/blob/main/gifs/phoenix_overview.gif?raw=true\"\u003e\n\n## Installation\n\nInstall Phoenix via `pip` or `conda`\n\n```shell\npip install arize-phoenix\n```\n\nPhoenix container images are available via [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) and can be deployed using Docker or Kubernetes.\n\n## Features\n\n| Key Features                                                                                                     | Availability   |\n| ---------------------------------------------------------------------------------------------------------------- | -------------- |\n| [Tracing](https://docs.arize.com/phoenix/tracing/concepts-tracing/what-are-traces)                               | ✅             |\n| [Evaluation](https://docs.arize.com/phoenix/evaluation/llm-evals)                                                | ✅             |\n| [Retrieval (RAG) Analysis](https://docs.arize.com/phoenix/tracing/use-cases-tracing/rag-evaluation)              | ✅             |\n| [Datasets](https://docs.arize.com/phoenix/datasets-and-experiments/overview-datasets)                            | ✅             |\n| [Fine-Tuning Export](https://docs.arize.com/phoenix/datasets-and-experiments/how-to-datasets/exporting-datasets) | ✅             |\n| [Annotations](https://docs.arize.com/phoenix/tracing/concepts-tracing/how-to-annotate-traces)                    | ✅             |\n| [Human Feedback](https://docs.arize.com/phoenix/tracing/how-to-tracing/capture-feedback)                         | ✅             |\n| [Experiments](https://docs.arize.com/phoenix/datasets-and-experiments/how-to-experiments/run-experiments)        | ✅             |\n| [Embeddings Analysis](https://docs.arize.com/phoenix/inferences/phoenix-inferences)                              | ✅             |\n| [Data Export](https://docs.arize.com/phoenix/tracing/how-to-tracing/extract-data-from-spans)                     | ✅             |\n| REST API                                                                                                         | ✅             |\n| GraphQL API                                                                                                      | ✅             |\n| Data Retention                                                                                                   | Customizable   |\n| Authentication                                                                                                   | ✅             |\n| Social Login                                                                                                     | ✅             |\n| RBAC                                                                                                             | ✅             |\n| Projects                                                                                                         | ✅             |\n| [Self-Hosting](https://docs.arize.com/phoenix/deployment)                                                        | ✅             |\n| Jupyter Notebooks                                                                                                | ✅             |\n| [Sessions](https://github.com/Arize-ai/phoenix/issues/2619)                                                      | In Progress 🚧 |\n| [Prompt Playground](https://github.com/Arize-ai/phoenix/issues/3435)                                             | In Progress 🚧 |\n| Prompt Management                                                                                                | Coming soon ⏱️ |\n\n## Tracing Integrations\n\nPhoenix is built on top of OpenTelemetry and is vendor, language, and framework agnostic.\n\n**Python**\n| Integration | Package | Version Badge |\n|------------------|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|\n| [OpenAI](https://docs.arize.com/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) |\n| [LlamaIndex](https://docs.arize.com/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) |\n| [DSPy](https://docs.arize.com/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) |\n| [AWS Bedrock](https://docs.arize.com/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) |\n| [LangChain](https://docs.arize.com/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) |\n| [MistralAI](https://docs.arize.com/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) |\n| [Guardrails](https://docs.arize.com/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) |\n| [VertexAI](https://docs.arize.com/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) |\n| [CrewAI](https://docs.arize.com/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) |\n| [Haystack](https://docs.arize.com/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) |\n| [LiteLLM](https://docs.arize.com/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) |\n| [Groq](https://docs.arize.com/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) |\n| [Instructor](https://docs.arize.com/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) |\n| [Anthropic](https://docs.arize.com/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) |\n\n### JavaScript\n\n| Integration                                                                                | Package                                            | Version Badge                                                                                                                                                                       |\n| ------------------------------------------------------------------------------------------ | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| [OpenAI](https://docs.arize.com/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)       |\n| [LangChain.js](https://docs.arize.com/phoenix/tracing/integrations-tracing/langchain.js)   | `@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) |\n| [Vercel AI SDK](https://docs.arize.com/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)                                           |\n\nFor details about tracing integrations and example applications, see the [OpenInference](https://github.com/Arize-ai/openinference) project.\n\n## Community\n\nJoin our community to connect with thousands of AI builders.\n\n- 🌍 Join our [Slack community](https://join.slack.com/t/arize-ai/shared_invite/zt-1px8dcmlf-fmThhDFD_V_48oU7ALan4Q).\n- 📚 Read our [documentation](https://docs.arize.com/phoenix).\n- 💡 Ask questions and provide feedback in the _#phoenix-support_ channel.\n- 🌟 Leave a star on our [GitHub](https://github.com/Arize-ai/phoenix).\n- 🐞 Report bugs with [GitHub Issues](https://github.com/Arize-ai/phoenix/issues).\n- 𝕏 Follow us on [𝕏](https://twitter.com/ArizePhoenix).\n- 💌️ Sign up for our [mailing list](https://phoenix.arize.com/#updates).\n- 🗺️ Check out our [roadmap](https://github.com/orgs/Arize-ai/projects/45) to see where we're heading next.\n\n## Breaking Changes\n\nSee the [migration guide](./MIGRATION.md) for a list of breaking changes.\n\n## Copyright, Patent, and License\n\nCopyright 2024 Arize AI, Inc. All Rights Reserved.\n\nPortions of this code are patent protected by one or more U.S. Patents. See [IP_NOTICE](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE).\n\nThis software is licensed under the terms of the Elastic License 2.0 (ELv2). See [LICENSE](https://github.com/Arize-ai/phoenix/blob/main/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FArize-ai%2Fphoenix","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FArize-ai%2Fphoenix","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FArize-ai%2Fphoenix/lists"}