AI仙宝项目介绍
Agent 配套工具 · 2026-11-09 更新 · 本站尚未实测
Arize Phoenix 是 Arize 提供的源码可见的 AI 可观测平台，定位为实验、评测与排查 LLM 应用问题的工具。根据 README，它基于 OpenTelemetry，宣称与厂商、语言和框架无关，可运行在本地、容器化部署或云上。README 同时说明，Phoenix 为可自托管版本；若需要托管的生产工作流，Arize 另提供商业产品 Arize AX，并指向官方对比文档。Phoenix 本身不是单一 Agent 应用，而是带追踪、评测、实验、Playground 与提示词管理能力的平台，其中 PXI 被描述为内置的 AI 工程 Agent。
核心能力
点击能力名称查看输入、输出和原文依据。
- 追踪：通过基于 OpenTelemetry 的插桩记录 LLM 应用运行时调用链。
- 评测：利用 LLM 对应用的响应与检索效果进行基准评测。
- 数据集：创建带版本的数据集，用于实验、评测和微调。
- 实验：跟踪和评测提示词、模型与检索变化。
- Playground：优化提示词、比较模型、调整参数并重放已追踪的调用。
- 提示词管理：通过版本控制、标签和实验系统化管理提示词。
- PXI：README 称其为内置于 Phoenix 的 AI 工程 Agent，用于调试追踪、迭代提示词和导航产品界面。
- 远程 MCP Server：可将 Claude Code、Cursor 等 MCP 客户端连接到 Phoenix 实例的
/mcp端点，查询追踪、数据集、实验等；README 中的 Cursor 安装链接指向http://localhost:6006/mcp，这是本地端例，并非可用的公网托管端点。
README 列出的追踪集成涵盖 OpenAI、OpenAI Agents SDK、Claude Agent SDK、LangGraph、Vercel AI SDK、Mastra、CrewAI、LlamaIndex、DSPy 等框架，以及 OpenAI、Anthropic、Google GenAI、Google ADK、AWS Bedrock、OpenRouter、LiteLLM 等模型或接入渠道；Python 集成表还列有 Ollama、MistralAI、Cohere、Together AI、Groq 等。具体可用性和版本以官方集成文档为准。
实际应用场景
适用场景
适合需要观察 LLM 调用链、排查 Agent/工作流异常、比较提示词与模型、构建评测数据集、进行检索增强生成相关评测的开发者或团队。也适合希望用 MCP 让编码智能体直接查询 Phoenix 中追踪和实验数据的场景。若只是普通业务监控或传统软件日志分析，Phoenix 并非专门替代品。
安装与接入
README 给出的本地运行方式为：
pip install arize-phoenix
phoenix serve
也可不安装直接通过 uvx 运行：
uvx arize-phoenix serve
README 另提供让编码 Agent 自动插桩的方式：
npx @arizeai/phoenix-cli setup
# or, with Phoenix installed: px setup
官方称该 setup 会检测框架与模型提供商、安装对应 OpenInference 插桩并接入追踪导出。
部署方面，README 说明可通过 Docker Hub 镜像与 Helm chart 部署到 Docker 或 Kubernetes，并提供 Railway、Render、Google Cloud、Azure、AWS 的部署按钮或模板入口。注意 README 自己提示：Google Cloud 按钮是从源码在 Cloud Shell 构建，并非预构建镜像；Azure 模板提供的是普通 HTTP，生产使用前需自加 TLS 代理。
接入 MCP 时，README 只给出本地示例地址 http://localhost:6006/mcp，未提供公网 MCP 端点。其他客户端配置细节待核查。
使用条件与限制
- 是否需要部署
- 需自行准备运行环境，具体要求见正文
- 是否需要注册
- 账号和认证要求见正文；未明确说明的项目仍待核验
- 是否需要 API Key
- 待核验
- 费用与额度
- 费用边界见正文，项目许可不代表模型或托管服务免费
- 所需权限
- 待核验
- 许可证与服务条款
- 待核验
权限费用与限制
仓库代码采用 Elastic License 2.0。该许可证允许使用、复制、分发和制作衍生作品，但限制将软件作为托管或管理服务提供给第三方，也禁止移动、更改、禁用或规避许可证密钥功能，并不得删除或遮蔽许可与版权声明。公开仓库不等于模型、云服务或全部功能免费；托管产品 Arize AX 的费用与套餐需向官方核验。评测中调用第三方 LLM 可能产生相应费用。README 未说明国内模型或国内网络兼容性，此项待核查。
国内使用情况
网友核验 用户经验分享
与站长实测独立，不代表官方认证或本站已实测。
0 位参与者0 份有效分项记录
最近核验：暂无有效核验。参与人数按当前项目有效身份去重；不同核验项分别统计，不合并成用户总结果。仅统计审核通过且未过期的记录。
分项统计、有效期与样本量
| 核验项目 | 有效人数 | 成功 / 部分 / 失败 / 无法判断 | 成功率 | 最近核验 / 有效期 |
|---|---|---|---|---|
| 官方网站访问 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 7 天 |
| GitHub 仓库访问 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 7 天 |
| 安装与运行 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 官方服务国内连接 / MCP 连接 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 国内网络情况 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 7 天 |
| 国内模型兼容性 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 自定义 API | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 海外服务依赖 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 海外账号要求 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 中文界面 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 客户端兼容性 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 账号及费用信息 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
成功率 = 成功 ÷（成功 + 部分成功 + 失败）；无法判断不计入分母。至少 5 份可判断结果才显示成功率。账号、费用、海外依赖与语言等事实项，成功表示核查结论与资料吻合，具体观察另行统计；不表示免费或没有海外依赖。不同网络、客户端和版本的结果不能直接等同。
最近有效核验
暂无审核通过且未过期的网友核验。欢迎提交真实使用记录。
查看全部有效核验 →国内实测状态：国内可用性待核验。协议兼容和官方资料说明不等于国内网络可用。
- 官方网站访问
- 尚未实测 待核验
- GitHub 仓库访问
- 尚未实测 待核验
- 官方服务国内连接
- 尚未实测 待核验
- 国内网络情况
- 尚未实测 待核验
- 国内模型兼容性
- 尚未实测 待核验
- 自定义 API
- 尚未实测 待核验
- 海外服务依赖
- 尚未实测 待核验
- 海外账号要求
- 尚未实测 待核验
- 中文界面
- 尚未实测 待核验
- 国内最后核验时间
- 尚未实测
许可与国内使用
代码许可证以仓库 LICENSE 文件为准，为 Elastic License 2.0，并非 OSI 开源许可证。Arize AX 是独立商业服务，其许可、计费和数据托管地区需向官方确认。Phoenix 自托管时，数据存储位置取决于是本地还是自建部署；使用境外模型或云服务时的跨境传输与合规要求需自行评估。README 未给出中国大陆部署支持、国内模型适配或国内 CDN 情况的明确说明，均为待核查项。
项目资料与来源
字段依据与待核验事项
access：来源确认 · Install Phoenix via `pip` or `conda` and have a fully functional Phoenix.
project_type：来源确认 · Arize Phoenix is Arize's open-source AI observability platform designed for experimentation, evaluation, and troubleshooting.
原始 README（折叠技术参考）
<p align="center">
<a target="_blank" href="https://phoenix.arize.com" style="background:none">
<img alt="phoenix banner" src="https://github.com/Arize-ai/phoenix-assets/blob/main/images/socal/github-large-banner-phoenix-v2.jpg?raw=true" width="auto" height="auto"></img>
</a>
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<b>🇺🇸 English</b> • <a href="docs/i18n/README.zh.md">🇨🇳 中文</a> • <a href="docs/i18n/README.zh-TW.md">🇹🇼 繁體中文</a> • <a href="docs/i18n/README.ja.md">🇯🇵 日本語</a> • <a href="docs/i18n/README.pt-PT.md">🇵🇹 Português</a> • <a href="docs/i18n/README.pt-BR.md">🇧🇷 Português</a> • <a href="docs/i18n/README.ko.md">🇰🇷 한국어</a> • <a href="docs/i18n/README.es.md">🇪🇸 Español</a> • <a href="docs/i18n/README.de.md">🇩🇪 Deutsch</a> • <a href="docs/i18n/README.fr.md">🇫🇷 Français</a> • <a href="docs/i18n/README.he.md">🇮🇱 עברית</a> • <a href="docs/i18n/README.ar.md">🇸🇦 العربية</a> • <a href="docs/i18n/README.ru.md">🇷🇺 Русский</a> • <a href="docs/i18n/README.pl.md">🇵🇱 Polski</a> • <a href="docs/i18n/README.cs.md">🇨🇿 Čeština</a> • <a href="docs/i18n/README.nl.md">🇳🇱 Nederlands</a> • <a href="docs/i18n/README.tr.md">🇹🇷 Türkçe</a> • <a href="docs/i18n/README.uk.md">🇺🇦 Українська</a> • <a href="docs/i18n/README.vi.md">🇻🇳 Tiếng Việt</a> • <a href="docs/i18n/README.tl.md">🇵🇭 Tagalog</a> • <a href="docs/i18n/README.id.md">🇮🇩 Indonesia</a> • <a href="docs/i18n/README.th.md">🇹🇭 ไทย</a> • <a href="docs/i18n/README.hi.md">🇮🇳 हिन्दी</a> • <a href="docs/i18n/README.bn.md">🇧🇩 বাংলা</a> • <a href="docs/i18n/README.ur.md">🇵🇰 اردو</a> • <a href="docs/i18n/README.ro.md">🇷🇴 Română</a> • <a href="docs/i18n/README.sv.md">🇸🇪 Svenska</a> • <a href="docs/i18n/README.it.md">🇮🇹 Italiano</a> • <a href="docs/i18n/README.el.md">🇬🇷 Ελληνικά</a> • <a href="docs/i18n/README.hu.md">🇭🇺 Magyar</a> • <a href="docs/i18n/README.fi.md">🇫🇮 Suomi</a> • <a href="docs/i18n/README.da.md">🇩🇰 Dansk</a> • <a href="docs/i18n/README.no.md">🇳🇴 Norsk</a>
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Arize Phoenix is Arize's open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. For managed production workflows, Arize also offers [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme). Phoenix provides:
- [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.
- [**_Evaluation_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
- [**_Datasets_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.
- [**_Experiments_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Track and evaluate changes to prompts, LLMs, and retrieval.
- [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls.
- [**_Prompt Management_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts/prompt-management)- Manage and test prompt changes systematically using version control, tagging, and experimentation.
- [**_PXI (Phoenix Intelligence)_**](https://arize.com/docs/phoenix/pxi) - An AI engineering agent built into Phoenix for debugging traces, iterating on prompts, and navigating the product.
- [**_Remote MCP Server_**](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server) - Connect Claude Code, Cursor, and other MCP clients directly to your Phoenix instance's `/mcp` endpoint to query traces, datasets, experiments, and more.
<p align="center">
<video src="https://storage.googleapis.com/arize-phoenix-assets/assets/videos/tracing_realtime.mp4" controls muted loop playsinline width="800"></video>
</p>
Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks ([OpenAI Agents SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-agents-sdk), [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/python/claude-agent-sdk), [LangGraph](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain), [Vercel AI SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/vercel-ai-sdk), [Mastra](https://arize.com/docs/phoenix/integrations/typescript/mastra), [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai), [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex), [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy)) and LLM providers ([OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai), [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic), [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-genai), [Google ADK](https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-adk-tracing), [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock), [OpenRouter](https://arize.com/docs/phoenix/integrations/python/openrouter), [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm), and more). For details on auto-instrumentation, check out the [OpenInference](https://github.com/Arize-ai/openinference) project.
Phoenix runs practically anywhere, including your local machine, a containerized deployment, or in the cloud. See [Self-Hosting](https://arize.com/docs/phoenix/self-hosting) for a walkthrough of each option, or jump straight into the [Tracing Quickstart](https://arize.com/docs/phoenix/get-started/get-started-tracing).
> [!NOTE]
> Phoenix is open-source and self-hosted. For a managed platform, Arize offers [Arize AX](https://arize.com/products/ax/?utm_source=github&utm_medium=community&utm_campaign=px-to-ax&utm_content=readme) — the same OpenTelemetry/OpenInference instrumentation works with both. See the [full comparison](https://arize.com/docs/phoenix/resources/frequently-asked-questions/what-is-the-difference-between-phoenix-and-arize).
## Table of Contents
- [Run Locally](#run-locally)
- [Trace Your Application](#trace-your-application)
- [Deploy](#deploy)
- [Packages](#packages)
- [Tracing Integrations](#tracing-integrations)
- [Sandboxes](#sandboxes)
- [For Humans and Coding Agents](#for-humans-and-coding-agents)
- [Security & Privacy](#security--privacy)
- [Community](#community)
## Run Locally
Install Phoenix via `pip` or `conda` and have a fully functional Phoenix. For all installation and hosting options, see the [install guide](https://arize.com/docs/phoenix).
```shell
pip install arize-phoenix
phoenix serve
```
Or run it with no install using [`uvx`](https://docs.astral.sh/uv/):
```shell
uvx arize-phoenix serve
```
## Trace Your Application
The fastest way to send traces is to let your [coding agent](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) (Claude Code, Codex, Cursor, and others) instrument your app. From your project directory, run:
```shell
npx @arizeai/phoenix-cli setup
# or, with Phoenix installed: px setup
```
Setup detects your framework and LLM provider, installs the right [OpenInference](https://github.com/Arize-ai/openinference) instrumentation, and wires up trace export. Prefer to wire it up in code? See the [tracing documentation](https://arize.com/docs/phoenix/tracing/llm-traces).
## Deploy
Phoenix container images are available via [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) and can be deployed using Docker or Kubernetes via the [Helm chart](https://github.com/Arize-ai/phoenix/tree/main/helm).
For Docker Compose, Kubernetes/Helm, and other deployment options, see the [self-hosting documentation](https://arize.com/docs/phoenix/self-hosting).
<p align="center">
<a href="https://railway.app/template/PTHRoq?referralCode=Xe2txW"><img src="https://railway.com/button.svg" alt="Deploy on Railway" height="30"></a>
<a href="https://render.com/deploy?repo=https://github.com/Arize-ai/phoenix"><img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" height="30"></a>
<a href="https://deploy.cloud.run/?git_repo=https://github.com/Arize-ai/phoenix"><img src="https://deploy.cloud.run/button.svg" alt="Run on Google Cloud" height="30"></a>
<a href="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FArize-ai%2Fphoenix%2Fmain%2Fazuredeploy.json"><img src="https://aka.ms/deploytoazurebutton" alt="Deploy to Azure" height="30"></a>
<a href="https://arize.com/docs/phoenix/self-hosting/deployment-options/aws-with-cloudformation"><img src="https://img.shields.io/badge/Deploy%20to-AWS-FF9900?logo=amazonwebservices&logoColor=white&labelColor=232F3E" alt="Deploy to AWS" height="30"></a>
</p>
> [!NOTE]
> The Google Cloud button builds Phoenix from source in Cloud Shell rather than deploying the prebuilt Docker Hub image. The Azure template serves plain HTTP (Azure Container Instances does not terminate TLS) — front it with a TLS proxy such as an Application Gateway before production use.
## Packages
The `arize-phoenix` package includes the entire Phoenix platform. However, if you have deployed the Phoenix platform, there are lightweight Python sub-packages and TypeScript packages that can be used in conjunction with the platform.
### Python Subpackages
| Package | Version & Docs | Description |
| --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
| [arize-phoenix-otel](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-otel) | [](https://pypi.org/project/arize-phoenix-otel/) [](https://arize-phoenix.readthedocs.io/projects/otel/) | Provides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults |
| [arize-phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-client) | [](https://pypi.org/project/arize-phoenix-client/) [](https://arize-phoenix.readthedocs.io/projects/client/) | Lightweight client for interacting with the Phoenix server via its OpenAPI REST interface |
| [arize-phoenix-evals](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-evals) | [](https://pypi.org/project/arize-phoenix-evals/) [](https://arize-phoenix.readthedocs.io/projects/evals/) | Tooling to evaluate LLM applications including RAG relevance, answer relevance, and more |
### TypeScript Subpackages
| Package | Version & Docs | Description |
| --------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| [@arizeai/phoenix-otel](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-otel) | [](https://www.npmjs.com/package/@arizeai/phoenix-otel) [](https://arize-ai.github.io/phoenix/) | Provides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults |
| [@arizeai/phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-client) | [](https://www.npmjs.com/package/@arizeai/phoenix-client) [](https://arize-ai.github.io/phoenix/) | Client for the Arize Phoenix API |
| [@arizeai/phoenix-evals](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-evals) | [](https://www.npmjs.com/package/@arizeai/phoenix-evals) [](https://arize-ai.github.io/phoenix/) | TypeScript evaluation library for LLM applications (alpha release) |
| [@arizeai/phoenix-cli](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-cli) | [](https://www.npmjs.com/package/@arizeai/phoenix-cli) [](https://arize.com/docs/phoenix/sdk-api-reference/typescript/arizeai-phoenix-cli) | CLI for fetching traces, datasets, and experiments for use with Claude Code, Cursor, and other coding agents |
## Tracing Integrations
Phoenix is built on top of OpenTelemetry and is vendor, language, and framework agnostic. For details about tracing integrations and example applications, see the [OpenInference](https://github.com/Arize-ai/openinference) project and the [integrations documentation](https://arize.com/docs/phoenix/integrations).
**Python Integrations**
| | Integration | Package | Version |
|:---:|---|---|---|
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [OpenAI Agents](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-agents-sdk) | `openinference-instrumentation-openai-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/llamaindex-color.png" height="14"> | [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex) | `openinference-instrumentation-llama-index` | [](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) |
| | [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy) | `openinference-instrumentation-dspy` | [](https://pypi.python.org/pypi/openinference-instrumentation-dspy) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/bedrock-color.png" height="14"> | [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangGraph](https://arize.com/docs/phoenix/integrations/python/langgraph) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mistral-color.png" height="14"> | [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [](https://pypi.python.org/pypi/openinference-instrumentation-mistralai) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/cohere-color.png" height="14"> | [Cohere](https://arize.com/docs/phoenix/integrations/llm-providers/cohere) | `openinference-instrumentation-cohere` | [](https://pypi.python.org/pypi/openinference-instrumentation-cohere) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/together-color.png" height="14"> | [Together AI](https://arize.com/docs/phoenix/integrations/llm-providers/together) | `openinference-instrumentation-together` | [](https://pypi.python.org/pypi/openinference-instrumentation-together) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/ollama.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/ollama.png"></picture> | [Ollama](https://arize.com/docs/phoenix/integrations/llm-providers/ollama) | `openinference-instrumentation-ollama` | [](https://pypi.python.org/pypi/openinference-instrumentation-ollama) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/google-color.png" height="14"> | [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-gen-ai) | `openinference-instrumentation-google-genai` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-genai) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/google-color.png" height="14"> | [Google ADK](https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-adk-tracing) | `openinference-instrumentation-google-adk` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-adk) |
| | [Guardrails](https://arize.com/docs/phoenix/tracing/integrations-tracing/guardrails) | `openinference-instrumentation-guardrails` | [](https://pypi.python.org/pypi/openinference-instrumentation-guardrails) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/vertexai-color.png" height="14"> | [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/crewai-color.png" height="14"> | [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai) | `openinference-instrumentation-crewai` | [](https://pypi.python.org/pypi/openinference-instrumentation-crewai) |
| | [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack) | `openinference-instrumentation-haystack` | [](https://pypi.python.org/pypi/openinference-instrumentation-haystack) |
| | [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm) | `openinference-instrumentation-litellm` | [](https://pypi.python.org/pypi/openinference-instrumentation-litellm) |
| | [OpenRouter](https://arize.com/docs/phoenix/integrations/llm-providers/openrouter) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) |
| | [OrcaRouter](https://arize.com/docs/phoenix/integrations/llm-providers/orcarouter) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/groq.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/groq.png"></picture> | [Groq](https://arize.com/docs/phoenix/tracing/integrations-tracing/groq) | `openinference-instrumentation-groq` | [](https://pypi.python.org/pypi/openinference-instrumentation-groq) |
| | [Instructor](https://arize.com/docs/phoenix/tracing/integrations-tracing/instructor) | `openinference-instrumentation-instructor` | [](https://pypi.python.org/pypi/openinference-instrumentation-instructor) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/anthropic.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/anthropic.png"></picture> | [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic) | `openinference-instrumentation-anthropic` | [](https://pypi.python.org/pypi/openinference-instrumentation-anthropic) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/huggingface-color.png" height="14"> | [Smolagents](https://huggingface.co/docs/smolagents/en/tutorials/inspect_runs) | `openinference-instrumentation-smolagents` | [](https://pypi.python.org/pypi/openinference-instrumentation-smolagents) |
| | [Agno](https://arize.com/docs/phoenix/tracing/integrations-tracing/agno) | `openinference-instrumentation-agno` | [](https://pypi.python.org/pypi/openinference-instrumentation-agno) |
| | [BeeAI](https://arize.com/docs/phoenix/integrations/python/beeai) | `openinference-instrumentation-beeai` | [](https://pypi.python.org/pypi/openinference-instrumentation-beeai) |
| | [Strands Agents](https://arize.com/docs/phoenix/integrations/python/strands-agents) | `openinference-instrumentation-strands-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-strands-agents) |
| | [Restate](https://arize.com/docs/phoenix/integrations/python/restate) | `openinference-instrumentation-openai-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mcp.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/mcp.png"></picture> | [MCP](https://arize.com/docs/phoenix/tracing/integrations-tracing/model-context-protocol-mcp) | `openinference-instrumentation-mcp` | [](https://pypi.python.org/pypi/openinference-instrumentation-mcp) |
| | [Microsoft Agent Framework](https://arize.com/docs/phoenix/integrations/python/microsoft-agent-framework) | `openinference-instrumentation-agent-framework` | [](https://pypi.python.org/pypi/openinference-instrumentation-agent-framework) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/pydanticai-color.png" height="14"> | [Pydantic AI](https://arize.com/docs/phoenix/integrations/python/pydantic) | `openinference-instrumentation-pydantic-ai` | [](https://pypi.python.org/pypi/openinference-instrumentation-pydantic-ai) |
| | [Pipecat](https://arize.com/docs/phoenix/integrations/python/pipecat) | `openinference-instrumentation-pipecat` | [](https://pypi.python.org/pypi/openinference-instrumentation-pipecat) |
| | [AG2](https://arize.com/docs/phoenix/integrations/python/ag2) | `openinference-instrumentation-ag2` | [](https://pypi.python.org/pypi/openinference-instrumentation-ag2) |
| | [Autogen AgentChat](https://arize.com/docs/phoenix/integrations/frameworks/autogen/autogen-tracing) | `openinference-instrumentation-autogen-agentchat` | [](https://pypi.python.org/pypi/openinference-instrumentation-autogen-agentchat) |
| | [Portkey](https://arize.com/docs/phoenix/integrations/portkey) | `openinference-instrumentation-portkey` | [](https://pypi.python.org/pypi/openinference-instrumentation-portkey) |
| | [Agent Spec](https://arize.com/docs/phoenix/tracing/integrations-tracing/agentspec) | `openinference-instrumentation-agentspec` | [](https://pypi.python.org/pypi/openinference-instrumentation-agentspec) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/claude-color.png" height="14"> | [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/python/claude-agent-sdk) | `openinference-instrumentation-claude-agent-sdk` | [](https://pypi.python.org/pypi/openinference-instrumentation-claude-agent-sdk) |
| | [TypeSafe AI](https://arize.com/docs/phoenix/integrations/llm-providers/typesafe/typesafe-python) | `openinference-instrumentation-typesafe` | [](https://pypi.python.org/pypi/openinference-instrumentation-typesafe) |
| | [Atomic Agents](https://arize.com/docs/phoenix/integrations/python/atomic-agents/atomic-agents-tracing) | `atomic-agents[observability]` | [](https://pypi.python.org/pypi/atomic-agents) |
## Span Processors
Normalize and convert data across other instrumentation libraries by adding span processors that unify data.
| Package | Description | Version |
| ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [`openinference-instrumentation-openlit`](https://pypi.org/project/openinference-instrumentation-openlit/) | OpenInference Span Processor for OpenLIT traces. | [](https://pypi.python.org/pypi/openinference-instrumentation-openlit) |
| [`openinference-instrumentation-openllmetry`](https://pypi.org/project/openinference-instrumentation-openllmetry/) | OpenInference Span Processor for OpenLLMetry (Traceloop) traces. | [](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) |
### JavaScript Integrations
| | Integration | Package | Version |
| :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------- | --------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-node-sdk) | `@arizeai/openinference-instrumentation-openai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [OpenAI Agents](https://arize.com/docs/phoenix/integrations/typescript/openai-agents) | `@arizeai/openinference-instrumentation-openai-agents` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai-agents) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangChain.js](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `@arizeai/openinference-instrumentation-langchain` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-langchain) |
| | [TanStack AI](https://arize.com/docs/phoenix/integrations/typescript/tanstack-ai) | `@arizeai/openinference-tanstack-ai` | [](https://www.npmjs.com/package/@arizeai/openinference-tanstack-ai) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/vercel.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/vercel.png"></picture> | [Vercel AI SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/vercel-ai-sdk) | `@arizeai/openinference-vercel` | [](https://www.npmjs.com/package/@arizeai/openinference-vercel) |
| | [BeeAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/beeai) | `@arizeai/openinference-instrumentation-beeai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-beeai) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/claude-color.png" height="14"> | [Claude Agent SDK](https://arize.com/docs/phoenix/integrations/typescript/claude-agent-sdk) | `@arizeai/openinference-instrumentation-claude-agent-sdk` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-claude-agent-sdk) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mastra.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/mastra.png"></picture> | [Mastra](https://arize.com/docs/phoenix/integrations/typescript/mastra) | `@mastra/arize` | [](https://www.npmjs.com/package/@mastra/arize) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/mcp.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/mcp.png"></picture> | [MCP](https://arize.com/docs/phoenix/integrations/typescript/mcp) | `@arizeai/openinference-instrumentation-mcp` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-mcp) |
| | [TypeSafe AI](https://arize.com/docs/phoenix/integrations/llm-providers/typesafe/typesafe-typescript) | `@arizeai/openinference-instrumentation-typesafe` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-typesafe) |
### Java Integrations
| | Integration | Package | Version |
| :-------------------------------------------------------------------------------------------------: | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/langchain-color.png" height="14"> | [LangChain4j](https://github.com/Arize-ai/openinference/tree/main/java/instrumentation/openinference-instrumentation-langchain4j) | `openinference-instrumentation-langchain4j` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-langchain4j) |
| | SpringAI | `openinference-instrumentation-springAI` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-springAI) |
| <img src="https://avatars.githubusercontent.com/u/151681568" height="16"> | [Arconia](https://docs.arconia.io/arconia/latest/observability/semantic-conventions/openinference/) for Spring AI | `io.arconia:arconia-openinference-semantic-conventions` | [](https://central.sonatype.com/artifact/io.arconia/arconia-openinference-ai-semantic-conventions) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/google-color.png" height="14"> | [Google ADK](https://arize.com/docs/phoenix/integrations/java/google-adk/google-adk-tracing) | `openinference-instrumentation-adk-java` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-adk-java) |
### Go Integrations
| | Integration | Package | Version |
| :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/openai.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/openai.png"></picture> | [OpenAI](https://github.com/Arize-ai/openinference/tree/main/go/openinference-instrumentation-openai-go) | `github.com/Arize-ai/openinference/go/openinference-instrumentation-openai-go` | [](https://pkg.go.dev/github.com/Arize-ai/openinference/go/openinference-instrumentation-openai-go) |
| <picture><source media="(prefers-color-scheme: dark)" srcset="https://unpkg.com/@lobehub/icons-static-png@latest/dark/anthropic.png"><img height="14" src="https://unpkg.com/@lobehub/icons-static-png@latest/light/anthropic.png"></picture> | [Anthropic](https://github.com/Arize-ai/openinference/tree/main/go/openinference-instrumentation-anthropic-sdk-go) | `github.com/Arize-ai/openinference/go/openinference-instrumentation-anthropic-sdk-go` | [](https://pkg.go.dev/github.com/Arize-ai/openinference/go/openinference-instrumentation-anthropic-sdk-go) |
### Platforms
| | Platform | Description | Docs |
| :----------------------------------------------------------------------------------------------: | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
| | [BeeAI](https://framework.beeai.dev/modules/observability) | AI agent framework with built-in observability | [Integration Guide](https://framework.beeai.dev/modules/observability) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/dify-color.png" height="14"> | [Dify](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | Open-source LLM app development platform | [Integration Guide](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) |
| | [Envoy AI Gateway](https://github.com/envoyproxy/ai-gateway) | AI Gateway built on Envoy Proxy for AI workloads | [Integration Guide](https://github.com/envoyproxy/ai-gateway/tree/main/cmd/aigw#opentelemetry-setup-with-phoenix) |
| | [LangFlow](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | Visual framework for building multi-agent and RAG applications | [Integration Guide](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) |
| | [LiteLLM Proxy](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | Proxy server for LLMs | [Integration Guide](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) |
| | [Flowise](https://arize.com/docs/phoenix/integrations/platforms/flowise) | Visual framework for building LLM applications | [Integration Guide](https://arize.com/docs/phoenix/integrations/platforms/flowise) |
| | [Prompt Flow](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) | Microsoft's prompt flow orchestration tool | [Integration Guide](https://arize.com/docs/phoenix/integrations/platforms/prompt-flow) |
| <img src="https://unpkg.com/@lobehub/icons-static-png@latest/dark/nvidia-color.png" height="14"> | [NVIDIA NeMo](https://arize.com/docs/phoenix/integrations/python/nvidia) | NVIDIA NeMo Agent Toolkit for enterprise agents | [Integration Guide](https://arize.com/docs/phoenix/integrations/python/nvidia) |
| | [Graphite](https://arize.com/docs/phoenix/integrations/python/graphite) | Multi-agent LLM workflow framework with visual builder | [Integration Guide](https://arize.com/docs/phoenix/integrations/python/graphite) |
### Vector Databases
| Integration | Description | Docs |
| ----------------------------------------------------------------------------------- | ---------------------------------------------------- | --------------------------------------------------------------------------------------- |
| [Qdrant](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) | Staged hybrid search tracing with dense, sparse, RRF | [Integration Guide](https://arize.com/docs/phoenix/integrations/vector-databases/qdrant) |
## Sandboxes
Run Phoenix [code evaluators](https://arize.com/docs/phoenix/evaluation/server-evals/code-evaluators) in hosted sandbox providers for kernel-level isolation and runtime dependency installation.
| Integration | Description | Docs |
| --------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
| [E2B](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) | Hosted micro-VM sandboxes for AI-generated code | [Integration Guide](https://arize.com/docs/phoenix/integrations/sandboxes/e2b) |
| [Daytona](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) | Managed development sandboxes with snapshot startup | [Integration Guide](https://arize.com/docs/phoenix/integrations/sandboxes/daytona) |
| [Vercel Sandbox](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) | Ephemeral compute on Vercel's infrastructure | [Integration Guide](https://arize.com/docs/phoenix/integrations/sandboxes/vercel) |
| [Modal](https://arize.com/docs/phoenix/integrations/sandboxes/modal) | Serverless, Python-first container platform | [Integration Guide](https://arize.com/docs/phoenix/integrations/sandboxes/modal) |
| [Docker Sandboxes](https://arize.com/docs/phoenix/integrations/sandboxes/docker) | Cloud sandboxes hosted by Docker | [Integration Guide](https://arize.com/docs/phoenix/integrations/sandboxes/docker) |
## For Humans and Coding Agents
People and coding agents such as Claude Code, Codex, and Cursor can both work with Phoenix. To give an agent access to your traces, datasets, and experiments, connect it in one of these ways:
- **Claude Code or Codex.** Install the Arize Phoenix plugin. It registers the Phoenix MCP server and installs the Phoenix skills.
- **Any other agent.** Add the [Remote MCP Server](https://arize.com/docs/phoenix/integrations/mcp#remote-mcp-server) at your instance's `/mcp` endpoint. It serves your Phoenix data and the Phoenix skills, which match your server version.
- **Optional CLI.** The [Phoenix CLI](https://arize.com/docs/phoenix/integrations/developer-tools/cli), `npx @arizeai/phoenix-cli`, runs Phoenix commands in a terminal, and `px setup` instruments your app through your coding agent.
See [Connect Your Coding Agent](https://arize.com/docs/phoenix/integrations/developer-tools/coding-agents) for setup steps.
The **[skills](https://arize.com/docs/phoenix/integrations/developer-tools/skills)** live in [`skills/`](skills/) and teach agents how to trace, evaluate, and debug with Phoenix:
| Skill | Description |
| -------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- |
| [phoenix-cli](skills/phoenix-cli/) | Debug LLM applications with the Phoenix CLI. Fetch traces, analyze errors, review experiments, and query the GraphQL API |
| [phoenix-error-analysis](skills/phoenix-error-analysis/) | Read sampled traces, write notes, and group them into failure categories that pick eval targets and fix priorities |
| [phoenix-evals](skills/phoenix-evals/) | Build, run, and validate evaluators for AI/LLM applications using Phoenix |
| [phoenix-harbor](skills/phoenix-harbor/) | Configure and interpret the Phoenix plugin for Harbor agent evaluations |
| [phoenix-tracing](skills/phoenix-tracing/) | OpenInference semantic conventions and instrumentation for tracing LLM applications |
## Security & Privacy
We take data security and privacy very seriously. For more details, see our [Security and Privacy documentation](https://arize.com/docs/phoenix/self-hosting/security/privacy).
### Telemetry
By default, Phoenix collects basic web analytics (e.g., page views, UI interactions) to help us understand how Phoenix is used and improve the product. **None of your trace data, evaluation results, or any sens历史前置条件说明（补充参考）
本地运行需 Python 与 pip 或 uvx；自动插桩需 Node/npx 或已安装 Phoenix 的 px 命令；Docker/Helm 部署需相应容器环境。评测与追踪调用外部 LLM 时需自备相应模型 API Key，费用待核验。MCP 客户端需连接到用户自己的 Phoenix 实例；README 仅提供本地示例地址，公网或生产端点配置待核查。网路连通性与国内可用性待核验。
项目来源与清单版权许可
https://github.com/Arize-ai/phoenix
整理来源：https://github.com/slavakurilyak/awesome-ai-agents
清单版权与许可：
MIT License
Copyright (c) 2024 Slava Kurilyak
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.