wehub/comet-ml--opik
1
0
Fork 0
Code Issues Pull Requests Actions 10 Deployments Models Agent Notes Packages Projects Releases Wiki Activity

docs: make Chinese README the default
Build Opik Docker Images / set-version (push) Has been cancelled
Details
Release Drafter / update_release_draft (push) Has been cancelled
Details
🐙 Code Quality / detect (push) Has been cancelled
Details
🐙 Code Quality / summary (push) Has been cancelled
Details
Build Opik Docker Images / build-backend (push) Has been cancelled
Details
Build Opik Docker Images / build-sandbox-executor-python (push) Has been cancelled
Details
Build Opik Docker Images / build-python-backend (push) Has been cancelled
Details
Build Opik Docker Images / build-frontend (push) Has been cancelled
Details
Build Opik Docker Images / create-git-tag (push) Has been cancelled
Details
🐙 Code Quality / lint (${{ matrix.leg.name }}) (push) Has been cancelled
Details

Browse Source
This commit is contained in:
wehub-resource-sync
2026-07-13 10:36:51 +00:00
parent d936fffb10
commit 5d4cec7c2b
1 changed files with 176 additions and 172 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+176 -172
View File
@@ -1,5 +1,12 @@
<div align="center"><b><a href="README.md">English</a> | <a href="readme_CN.md">简体中文</a> | <a href="readme_JP.md">日本語</a> | <a href="readme_PT_BR.md">Português (Brasil)</a> | <a href="readme_KO.md">한국어</a><br><a href="readme_ES.md">Español</a> | <a href="readme_FR.md">Français</a> | <a href="readme_DE.md">Deutsch</a> | <a href="readme_RU.md">Русский</a> | <a href="readme_AR.md">العربية</a> | <a href="readme_HI.md">हिन्दी</a> | <a href="readme_TR.md">Türkçe</a></b></div>
<!-- WEHUB_ZH_README -->
> [!NOTE]
> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。
> [English](./README.en.md) · [原始项目](https://github.com/comet-ml/opik) · [上游 README](https://github.com/comet-ml/opik/blob/HEAD/README.md)
> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
> 注意：此文件使用AI进行机器翻译。欢迎对翻译进行改进！
<div align="center"><b><a href="README.md">English</a> | <a href="readme_CN.md">简体中文</a> | <a href="readme_JP.md">日本語</a> | <a href="readme_PT_BR.md">Português (Brasil)</a> | <a href="readme_KO.md">한국어</a><br><a href="readme_ES.md">Español</a> | <a href="readme_FR.md">Français</a> | <a href="readme_DE.md">Deutsch</a> | <a href="readme_RU.md">Русский</a> | <a href="readme_AR.md">العربية</a> | <a href="readme_HI.md">हिन्दी</a> | <a href="readme_TR.md">Türkçe</a></b></div>
<h1 align="center" style="border-bottom: none">
<div>
@@ -12,9 +19,9 @@
Opik
</div>
</h1>
<h2 align="center" style="border-bottom: none">Open-source AI Observability, Evaluation, and Optimization</h2>
<h2 align="center" style="border-bottom: none">开源 AI 可观测性、评估与优化平台</h2>
<p align="center">
Opik helps you build, test, and optimize generative AI applications that run better, from prototype to production. From RAG chatbots to code assistants to complex agentic systems, Opik provides comprehensive tracing, evaluation, and automatic prompt and tool optimization to take the guesswork out of AI development.
Opik 帮助您构建、测试并优化生成式 AI 应用，使其从原型到生产环境运行得更好。从 RAG 聊天机器人到代码助手再到复杂的智能体系统，Opik 提供全面的跟踪、评估，以及自动化的提示与工具优化，消除 AI 开发中的猜测。
</p>
<div align="center">
@@ -27,294 +34,291 @@ Opik helps you build, test, and optimize generative AI applications that run bet
</div>
<p align="center">
<a href="https://www.comet.com/site/products/opik/?from=llm&utm_source=opik&utm_medium=github&utm_content=website_button&utm_campaign=opik"><b>Website</b></a> •
<a href="https://chat.comet.com"><b>Slack Community</b></a> •
<a href="https://www.comet.com/site/products/opik/?from=llm&utm_source=opik&utm_medium=github&utm_content=website_button&utm_campaign=opik"><b>官网</b></a> •
<a href="https://chat.comet.com"><b>Slack 社区</b></a> •
<a href="https://x.com/Cometml"><b>Twitter</b></a> •
<a href="https://www.comet.com/docs/opik/changelog"><b>Changelog</b></a> •
<a href="https://www.comet.com/docs/opik/?from=llm&utm_source=opik&utm_medium=github&utm_content=docs_button&utm_campaign=opik"><b>Documentation</b></a>
<a href="https://www.comet.com/docs/opik/changelog"><b>更新日志</b></a> •
<a href="https://www.comet.com/docs/opik/?from=llm&utm_source=opik&utm_medium=github&utm_content=docs_button&utm_campaign=opik"><b>文档</b></a>
</p>
<div align="center" style="margin-top: 1em; margin-bottom: 1em;">
<a href="#-what-is-opik">🚀 What is Opik?</a> • <a href="#%EF%B8%8F-opik-server-installation">🛠️ Opik Server Installation</a> • <a href="#-opik-client-sdk">💻 Opik Client SDK</a> • <a href="#-logging-traces-with-integrations">📝 Logging Traces</a><br>
<a href="#-llm-as-a-judge-metrics">🧑‍⚖️ LLM as a Judge</a> • <a href="#-evaluating-your-llm-application">🔍 Evaluating your Application</a> • <a href="#-star-us-on-github">⭐ Star Us</a> • <a href="#-contributing">🤝 Contributing</a>
<a href="#-什么是-opik">🚀 什么是 Opik？</a> • <a href="#-opik-服务端安装">🛠️ Opik 服务端安装</a> • <a href="#-opik-客户端-sdk">💻 Opik 客户端 SDK</a> • <a href="#-日志跟踪与集成">📝 日志跟踪与集成</a><br>
<a href="#🧑‍⚖-作为裁判的-llm">🧑‍⚖️ 作为裁判的 LLM</a> • <a href="#-评估您的应用">🔍 评估您的应用</a> • <a href="#-在-github-上给我们加星">⭐ 在 GitHub 上给我们加星</a> • <a href="#🤝-贡献指南">🤝 贡献指南</a>
</div>
<br>
[![Opik platform screenshot (thumbnail)](readme-thumbnail-new.png)](https://www.comet.com/signup?from=llm&utm_source=opik&utm_medium=github&utm_content=readme_banner&utm_campaign=opik)
<a id="-what-is-opik"></a>
## 🚀 What is Opik?
<a id="-什么是-opik"></a>
## 🚀 什么是 Opik？
Opik (built by [Comet](https://www.comet.com?from=llm&utm_source=opik&utm_medium=github&utm_content=what_is_opik_link&utm_campaign=opik)) is an open-source platform designed to streamline the entire lifecycle of LLM applications. It empowers developers to evaluate, test, monitor, and optimize their models and agentic systems. Key offerings include:
Opik（由 [Comet](https://www.comet.com?from=llm&utm_source=opik&utm_medium=github&utm_content=what_is_opik_link&utm_campaign=opik) 开发）是一款开源平台，旨在简化整个 LLM 应用生命周期。它让开发者能够评估、测试、监控和优化模型及智能体系统。主要功能包括：
- **Comprehensive Observability**: Deep tracing of LLM calls, conversation logging, and agent activity.
- **Advanced Evaluation**: Robust prompt evaluation, LLM-as-a-judge, and experiment management.
- **Production-Ready**: Scalable monitoring dashboards and online evaluation rules for production.
- **Opik Agent Optimizer**: Dedicated SDK and set of optimizers to enhance prompts and agents.
- **Opik Guardrails**: Features to help you implement safe and responsible AI practices.
- **全面可观测性**：深度跟踪 LLM 调用、对话日志及智能体活动。
- **高级评估**：强大的提示评估、LLM-as-a-judge 及实验管理。
- **生产就绪**：可扩展的监控仪表板和在线评估规则。
- **Opik Agent Optimizer**：用于提升提示和智能体的专用 SDK 与优化器。
- **Opik Guardrails**：帮助您实施安全且负责任的 AI 实践。
<br>
Key capabilities include:
主要功能包括：
- **Development & Tracing:**
- Track all LLM calls and traces with detailed context during development and in production ([Quickstart](https://www.comet.com/docs/opik/quickstart/?from=llm&utm_source=opik&utm_medium=github&utm_content=quickstart_link&utm_campaign=opik)).
- Extensive 3rd-party integrations for easy observability: Seamlessly integrate with a growing list of frameworks, supporting many of the largest and most popular ones natively (including recent additions like **Google ADK**, **Autogen**, and **Flowise AI**). ([Integrations](https://www.comet.com/docs/opik/integrations/overview/?from=llm&utm_source=opik&utm_medium=github&utm_content=integrations_link&utm_campaign=opik))
- Annotate traces and spans with feedback scores via the [Python SDK](https://www.comet.com/docs/opik/v1/tracing/annotate_traces/#annotating-traces-and-spans-using-the-sdk?from=llm&utm_source=opik&utm_medium=github&utm_content=sdk_link&utm_campaign=opik) or the [UI](https://www.comet.com/docs/opik/tracing/annotate_traces/#annotating-traces-through-the-ui?from=llm&utm_source=opik&utm_medium=github&utm_content=ui_link&utm_campaign=opik).
- Experiment with prompts and models in the [Prompt Playground](https://www.comet.com/docs/opik/prompt_engineering/playground).
- **开发与跟踪:**
- 在开发和生产环境中跟踪所有 LLM 调用和详细跟踪信息 ([快速开始](https://www.comet.com/docs/opik/quickstart/?from=llm&utm_source=opik&utm_medium=github&utm_content=quickstart_link&utm_campaign=opik))
- 丰富的第三方集成：原生支持 Google ADK、Autogen、Flowise AI 等主流框架 ([集成列表](https://www.comet.com/docs/opik/integrations/overview/?from=llm&utm_source=opik&utm_medium=github&utm_content=integrations_link&utm_campaign=opik))
- 通过 [Python SDK](https://www.comet.com/docs/opik/tracing/annotate_traces/#annotating-traces-and-spans-using-the-sdk?from=llm&utm_source=opik&utm_medium=github&utm_content=sdk_link&utm_campaign=opik) 或 [UI](https://www.comet.com/docs/opik/tracing/annotate_traces/#annotating-traces-through-the-ui?from=llm&utm_source=opik&utm_medium=github&utm_content=ui_link&utm_campaign=opik) 为跟踪和跨度添加反馈分数注释
- 在 [Prompt Playground](https://www.comet.com/docs/opik/prompt_engineering/playground) 中试验提示和模型
- **Evaluation & Testing**:
- Automate your LLM application evaluation with [Datasets](https://www.comet.com/docs/opik/v1/evaluation/manage_datasets/?from=llm&utm_source=opik&utm_medium=github&utm_content=datasets_link&utm_campaign=opik) and [Experiments](https://www.comet.com/docs/opik/v1/evaluation/evaluate_your_llm/?from=llm&utm_source=opik&utm_medium=github&utm_content=eval_link&utm_campaign=opik).
- Leverage powerful LLM-as-a-judge metrics for complex tasks like [hallucination detection](https://www.comet.com/docs/opik/evaluation/metrics/hallucination/?from=llm&utm_source=opik&utm_medium=github&utm_content=hallucination_link&utm_campaign=opik), [moderation](https://www.comet.com/docs/opik/evaluation/metrics/moderation/?from=llm&utm_source=opik&utm_medium=github&utm_content=moderation_link&utm_campaign=opik), and RAG assessment ([Answer Relevance](https://www.comet.com/docs/opik/evaluation/metrics/answer_relevance/?from=llm&utm_source=opik&utm_medium=github&utm_content=alex_link&utm_campaign=opik), [Context Precision](https://www.comet.com/docs/opik/evaluation/metrics/context_precision/?from=llm&utm_source=opik&utm_medium=github&utm_content=context_link&utm_campaign=opik)).
- Integrate evaluations into your CI/CD pipeline with our [PyTest integration](https://www.comet.com/docs/opik/v1/testing/pytest_integration/?from=llm&utm_source=opik&utm_medium=github&utm_content=pytest_link&utm_campaign=opik).
- **评估与测试**:
- 使用 [Datasets](https://www.comet.com/docs/opik/evaluation/manage_datasets/?from=llm&utm_source=opik&utm_medium=github&utm_content=datasets_link&utm_campaign=opik) 和 [Experiments](https://www.comet.com/docs/opik/evaluation/evaluate_your_llm/?from=llm&utm_source=opik&utm_medium=github&utm_content=eval_link&utm_campaign=opik) 自动化 LLM 应用评估
- 利用 LLM-as-a-judge 指标进行复杂任务评估，如 [幻觉检测](https://www.comet.com/docs/opik/evaluation/metrics/hallucination/?from=llm&utm_source=opik&utm_medium=github&utm_content=hallucination_link&utm_campaign=opik)、[内容审核](https://www.comet.com/docs/opik/evaluation/metrics/moderation/?from=llm&utm_source=opik&utm_medium=github&utm_content=moderation_link&utm_campaign=opik) 和 RAG 评估（[回答相关性](https://www.comet.com/docs/opik/evaluation/metrics/answer_relevance/?from=llm&utm_source=opik&utm_medium=github&utm_content=alex_link&utm_campaign=opik)、[上下文精确度](https://www.comet.com/docs/opik/evaluation/metrics/context_precision/?from=llm&utm_source=opik&utm_medium=github&utm_content=context_link&utm_campaign=opik)）
- 使用 [PyTest 集成](https://www.comet.com/docs/opik/testing/pytest_integration/?from=llm&utm_source=opik&utm_medium=github&utm_content=pytest_link&utm_campaign=opik) 将评估纳入 CI/CD 流水线
- **Production Monitoring & Optimization**:
- Log high volumes of production traces: Opik is designed for scale (40M+ traces/day).
- Monitor feedback scores, trace counts, and token usage over time in the [Opik Dashboard](https://www.comet.com/docs/opik/v1/production/production_monitoring/?from=llm&utm_source=opik&utm_medium=github&utm_content=dashboard_link&utm_campaign=opik).
- Utilize [Online Evaluation Rules](https://www.comet.com/docs/opik/v1/production/rules/?from=llm&utm_source=opik&utm_medium=github&utm_content=dashboard_link&utm_campaign=opik) with LLM-as-a-Judge metrics to identify production issues.
- Leverage **Opik Agent Optimizer** and **Opik Guardrails** to continuously improve and secure your LLM applications in production.
- **生产监控与优化**:
- 高吞吐量生产跟踪：支持每日 4,000 万+ 跟踪记录
- 在 [Opik 仪表板](https://www.comet.com/docs/opik/production/production_monitoring/?from=llm&utm_source=opik&utm_medium=github&utm_content=dashboard_link&utm_campaign=opik) 中监控反馈分数、跟踪计数和令牌使用量
- 使用 [在线评估规则](https://www.comet.com/docs/opik/production/rules/?from=llm&utm_source=opik&utm_medium=github&utm_content=dashboard_link&utm_campaign=opik) 和 LLM-as-a-Judge 指标检测生产问题
- 利用 **Opik Agent Optimizer** 和 **Opik Guardrails** 持续改进和保护您的 LLM 应用
> [!TIP]
> If you are looking for features that Opik doesn't have today, please raise a new [Feature request](https://github.com/comet-ml/opik/issues/new/choose) 🚀
> [!TIP]
> 如果您需要 Opik 当前尚不支持的功能，请提交新的 [功能请求](https://github.com/comet-ml/opik/issues/new/choose) 🚀
<br>
<a id="%EF%B8%8F-opik-server-installation"></a>
## 🛠️ Opik Server Installation
<a id="-opik-服务端安装"></a>
## 🛠️ Opik 服务端安装
Get your Opik server running in minutes. Choose the option that best suits your needs:
几分钟内即可运行 Opik 服务端，选择最适合您的方案：
### Option 1: Comet.com Cloud (Easiest & Recommended)
### 方案 1：Comet.com 云（最简易 & 推荐）
Access Opik instantly without any setup. Ideal for quick starts and hassle-free maintenance.
无需维护，立即体验 Opik。适合快速启动和无忧维护。
👉 [Create your free Comet account](https://www.comet.com/signup?from=llm&utm_source=opik&utm_medium=github&utm_content=install_create_link&utm_campaign=opik)
👉 [创建免费 Comet 帐号](https://www.comet.com/signup?from=llm&utm_source=opik&utm_medium=github&utm_content=install_create_link&utm_campaign=opik)
### Option 2: Self-Host Opik for Full Control
### 方案 2：自托管（完全掌控）
Deploy Opik in your own environment. Choose between Docker for local setups or Kubernetes for scalability.
在您自己的环境中部署 Opik，本地开发可选 Docker Compose，大规模生产推荐 Kubernetes & Helm。
#### Self-Hosting with Docker Compose (for Local Development & Testing)
#### Docker Compose（本地开发 & 测试）
This is the simplest way to get a local Opik instance running. Note the new `./opik.sh` installation script:
最简方式启动本地 Opik 实例，使用全新 `.opik.sh` 安装脚本：
On Linux or Mac Environment:
```bash
# Clone the Opik repository
# 克隆 Opik 仓库
git clone https://github.com/comet-ml/opik.git
# Navigate to the repository
# 进入仓库目录
cd opik
# Start the Opik platform
# 启动 Opik 平台
./opik.sh
```
On Windows Environment:
```powershell
# Clone the Opik repository
# 克隆 Opik 仓库
git clone https://github.com/comet-ml/opik.git
# Navigate to the repository
# 进入仓库目录
cd opik
# Start the Opik platform
# 启动 Opik 平台
powershell -ExecutionPolicy ByPass -c ".\\opik.ps1"
```
**Service Profiles for Development**
**开发服务配置文件**
The Opik installation scripts now support service profiles for different development scenarios:
Opik 安装脚本现在支持针对不同开发场景的服务配置文件：
```bash
# Start full Opik suite (default behavior)
# 完整 Opik 套件（默认行为）
./opik.sh
# Start only infrastructure services (databases, caches etc.)
# 仅基础设施服务（数据库、缓存等）
./opik.sh --infra
# Start infrastructure + backend services
# 基础设施 + 后端服务
./opik.sh --backend
# Enable guardrails with any profile
./opik.sh --guardrails # Guardrails with full Opik suite
./opik.sh --backend --guardrails # Guardrails with infrastructure + backend
# 在任何配置文件中启用守护栏
./opik.sh --guardrails # 完整 Opik 套件 + 守护栏
./opik.sh --backend --guardrails # 基础设施 + 后端 + 守护栏
```
Use the `--help` or `--info` options to troubleshoot issues. Dockerfiles now ensure containers run as non-root users for enhanced security. Once all is up and running, you can now visit [localhost:5173](http://localhost:5173) on your browser! For detailed instructions, see the [Local Deployment Guide](https://www.comet.com/docs/opik/self-host/local_deployment?from=llm&utm_source=opik&utm_medium=github&utm_content=self_host_link&utm_campaign=opik).
使用 `--help` 或 `--info` 查看更多选项。Dockerfile 已确保容器以非 root 用户运行以增强安全性。启动成功后，打开浏览器访问 [localhost:5173](http://localhost:5173)。详情请见 [本地部署指南](https://www.comet.com/docs/opik/self-host/local_deployment?from=llm&utm_source=opik&utm_medium=github&utm_content=self_host_link&utm_campaign=opik)。
#### Self-Hosting with Kubernetes & Helm (for Scalable Deployments)
#### Kubernetes & Helm（大规模生产）
For production or larger-scale self-hosted deployments, Opik can be installed on a Kubernetes cluster using our Helm chart. Click the badge for the full [Kubernetes Installation Guide using Helm](https://www.comet.com/docs/opik/self-host/kubernetes/#kubernetes-installation?from=llm&utm_source=opik&utm_medium=github&utm_content=kubernetes_link&utm_campaign=opik).
适用于生产或大规模自托管场景，通过 Helm Chart 在 Kubernetes 集群中安装 Opik：
[![Kubernetes](https://img.shields.io/badge/Kubernetes-%23326ce5.svg?&logo=kubernetes&logoColor=white)](https://www.comet.com/docs/opik/self-host/kubernetes/#kubernetes-installation?from=llm&utm_source=opik&utm_medium=github&utm_content=kubernetes_link&utm_campaign=opik)
> [!IMPORTANT]
> **Version 1.7.0 Changes**: Please check the [changelog](https://github.com/comet-ml/opik/blob/main/CHANGELOG.md) for important updates and breaking changes.
> **版本 1.7.0 变更**：请查看 [更新日志](https://github.com/comet-ml/opik/blob/main/CHANGELOG.md) 以了解重要更新和破坏性变更。
<a id="-opik-client-sdk"></a>
## 💻 Opik Client SDK
<a id="-opik-客户端-sdk"></a>
## 💻 Opik 客户端 SDK
Opik provides a suite of client libraries and a REST API to interact with the Opik server. This includes SDKs for Python, TypeScript, and Ruby (via OpenTelemetry), allowing for seamless integration into your workflows. For detailed API and SDK references, see the [Opik Client Reference Documentation](https://www.comet.com/docs/opik/reference/overview?from=llm&utm_source=opik&utm_medium=github&utm_content=reference_link&utm_campaign=opik).
Opik 提供一系列客户端库和 REST API 与 Opik 服务端交互，包含 Python、TypeScript 和 Ruby（通过 OpenTelemetry）SDK，方便集成到各类工作流中。详细 API 与 SDK 参考见 [客户端参考文档](https://www.comet.com/docs/opik/reference/overview?from=llm&utm_source=opik&utm_medium=github&utm_content=reference_link&utm_campaign=opik)。
### Python SDK Quick Start
### Python SDK 快速开始
To get started with the Python SDK:
Install the package:
安装包：
```bash
# install using pip
# 使用 pip 安装
pip install opik
# or install with uv
# 或使用 uv 安装
uv pip install opik
```
Configure the python SDK by running the `opik configure` command, which will prompt you for your Opik server address (for self-hosted instances) or your API key and workspace (for Comet.com):
运行 `opik configure`，并按提示输入 Opik 服务端地址（自托管）或 API key 与 workspace（Comet.com）：
```bash
opik configure
```
> [!TIP]
> You can also call `opik.configure(use_local=True)` from your Python code to configure the SDK to run on a local self-hosted installation, or provide API key and workspace details directly for Comet.com. Refer to the [Python SDK documentation](https://www.comet.com/docs/opik/python-sdk-reference/?from=llm&utm_source=opik&utm_medium=github&utm_content=python_sdk_docs_link&utm_campaign=opik) for more configuration options.
> [!TIP]
> 您也可以在代码中调用 `opik.configure(use_local=True)` 来配置本地自托管，或直接在代码中提供 API key 和 workspace。更多配置选项请参阅 [Python SDK 文档](https://www.comet.com/docs/opik/python-sdk-reference/?from=llm&utm_source=opik&utm_medium=github&utm_content=python_sdk_docs_link&utm_campaign=opik)。
You are now ready to start logging traces using the [Python SDK](https://www.comet.com/docs/opik/python-sdk-reference/?from=llm&utm_source=opik&utm_medium=github&utm_content=sdk_link2&utm_campaign=opik).
现在您可以使用 [Python SDK](https://www.comet.com/docs/opik/python-sdk-reference/?from=llm&utm_source=opik&utm_medium=github&utm_content=sdk_link2&utm_campaign=opik) 记录跟踪！
<a id="-logging-traces-with-integrations"></a>
### 📝 Logging Traces with Integrations
<a id="-日志跟踪与集成"></a>
### 📝 日志跟踪与集成
The easiest way to log traces is to use one of our direct integrations. Opik supports a wide array of frameworks, including recent additions like **Google ADK**, **Autogen**, **AG2**, and **Flowise AI**:
最简单的跟踪方式是使用直接集成，Opik 支持多种框架，包括 Google ADK、Autogen、AG2 和 Flowise AI 等：
| Integration | Description | Documentation |
| --------------------- | ------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| ADK | Log traces for Google Agent Development Kit (ADK) | [Documentation](https://www.comet.com/docs/opik/integrations/adk?utm_source=opik&utm_medium=github&utm_content=google_adk_link&utm_campaign=opik) |
| AG2 | Log traces for AG2 LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/ag2?utm_source=opik&utm_medium=github&utm_content=ag2_link&utm_campaign=opik) |
| Agent Spec | Log traces for Agent Spec calls | [Documentation](https://www.comet.com/docs/opik/integrations/agentspec?utm_source=opik&utm_medium=github&utm_content=agentspec_link&utm_campaign=opik) |
| AIsuite | Log traces for aisuite LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/aisuite?utm_source=opik&utm_medium=github&utm_content=aisuite_link&utm_campaign=opik) |
| Agno | Log traces for Agno agent orchestration framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/agno?utm_source=opik&utm_medium=github&utm_content=agno_link&utm_campaign=opik) |
| Anthropic | Log traces for Anthropic LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/anthropic?utm_source=opik&utm_medium=github&utm_content=anthropic_link&utm_campaign=opik) |
| Autogen | Log traces for Autogen agentic workflows | [Documentation](https://www.comet.com/docs/opik/integrations/autogen?utm_source=opik&utm_medium=github&utm_content=autogen_link&utm_campaign=opik) |
| Bedrock | Log traces for Amazon Bedrock LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/bedrock?utm_source=opik&utm_medium=github&utm_content=bedrock_link&utm_campaign=opik) |
| BeeAI (Python) | Log traces for BeeAI Python agent framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/beeai?utm_source=opik&utm_medium=github&utm_content=beeai_link&utm_campaign=opik) |
| BeeAI (TypeScript) | Log traces for BeeAI TypeScript agent framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/beeai-typescript?utm_source=opik&utm_medium=github&utm_content=beeai_typescript_link&utm_campaign=opik) |
| BytePlus | Log traces for BytePlus LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/byteplus?utm_source=opik&utm_medium=github&utm_content=byteplus_link&utm_campaign=opik) |
| Cloudflare Workers AI | Log traces for Cloudflare Workers AI calls | [Documentation](https://www.comet.com/docs/opik/integrations/cloudflare-workers-ai?utm_source=opik&utm_medium=github&utm_content=cloudflare_workers_ai_link&utm_campaign=opik) |
| Cohere | Log traces for Cohere LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/cohere?utm_source=opik&utm_medium=github&utm_content=cohere_link&utm_campaign=opik) |
| CrewAI | Log traces for CrewAI calls | [Documentation](https://www.comet.com/docs/opik/integrations/crewai?utm_source=opik&utm_medium=github&utm_content=crewai_link&utm_campaign=opik) |
| Cursor | Log traces for Cursor conversations | [Documentation](https://www.comet.com/docs/opik/integrations/cursor?utm_source=opik&utm_medium=github&utm_content=cursor_link&utm_campaign=opik) |
| DeepSeek | Log traces for DeepSeek LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/deepseek?utm_source=opik&utm_medium=github&utm_content=deepseek_link&utm_campaign=opik) |
| Dify | Log traces for Dify agent runs | [Documentation](https://www.comet.com/docs/opik/integrations/dify?utm_source=opik&utm_medium=github&utm_content=dify_link&utm_campaign=opik) |
| DSPY | Log traces for DSPy runs | [Documentation](https://www.comet.com/docs/opik/integrations/dspy?utm_source=opik&utm_medium=github&utm_content=dspy_link&utm_campaign=opik) |
| Fireworks AI | Log traces for Fireworks AI LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/fireworks-ai?utm_source=opik&utm_medium=github&utm_content=fireworks_ai_link&utm_campaign=opik) |
| Flowise AI | Log traces for Flowise AI visual LLM builder | [Documentation](https://www.comet.com/docs/opik/integrations/flowise?utm_source=opik&utm_medium=github&utm_content=flowise_link&utm_campaign=opik) |
| Gemini (Python) | Log traces for Google Gemini LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/gemini?utm_source=opik&utm_medium=github&utm_content=gemini_link&utm_campaign=opik) |
| Gemini (TypeScript) | Log traces for Google Gemini TypeScript SDK calls | [Documentation](https://www.comet.com/docs/opik/integrations/gemini-typescript?utm_source=opik&utm_medium=github&utm_content=gemini_typescript_link&utm_campaign=opik) |
| Groq | Log traces for Groq LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/groq?utm_source=opik&utm_medium=github&utm_content=groq_link&utm_campaign=opik) |
| Guardrails | Log traces for Guardrails AI validations | [Documentation](https://www.comet.com/docs/opik/integrations/guardrails-ai?utm_source=opik&utm_medium=github&utm_content=guardrails_link&utm_campaign=opik) |
| Haystack | Log traces for Haystack calls | [Documentation](https://www.comet.com/docs/opik/integrations/haystack?utm_source=opik&utm_medium=github&utm_content=haystack_link&utm_campaign=opik) |
| Harbor | Log traces for Harbor benchmark evaluation trials | [Documentation](https://www.comet.com/docs/opik/integrations/harbor?utm_source=opik&utm_medium=github&utm_content=harbor_link&utm_campaign=opik) |
| Instructor | Log traces for LLM calls made with Instructor | [Documentation](https://www.comet.com/docs/opik/integrations/instructor?utm_source=opik&utm_medium=github&utm_content=instructor_link&utm_campaign=opik) |
| LangChain (Python) | Log traces for LangChain LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/langchain?utm_source=opik&utm_medium=github&utm_content=langchain_link&utm_campaign=opik) |
| LangChain (JS/TS) | Log traces for LangChain JavaScript/TypeScript calls | [Documentation](https://www.comet.com/docs/opik/integrations/langchainjs?utm_source=opik&utm_medium=github&utm_content=langchainjs_link&utm_campaign=opik) |
| LangGraph | Log traces for LangGraph executions | [Documentation](https://www.comet.com/docs/opik/integrations/langgraph?utm_source=opik&utm_medium=github&utm_content=langgraph_link&utm_campaign=opik) |
| Langflow | Log traces for Langflow visual AI builder | [Documentation](https://www.comet.com/docs/opik/integrations/langflow?utm_source=opik&utm_medium=github&utm_content=langflow_link&utm_campaign=opik) |
| LiteLLM | Log traces for LiteLLM model calls | [Documentation](https://www.comet.com/docs/opik/integrations/litellm?utm_source=opik&utm_medium=github&utm_content=litellm_link&utm_campaign=opik) |
| LiveKit Agents | Log traces for LiveKit Agents AI agent framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/livekit?utm_source=opik&utm_medium=github&utm_content=livekit_link&utm_campaign=opik) |
| LlamaIndex | Log traces for LlamaIndex LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/llama_index?utm_source=opik&utm_medium=github&utm_content=llama_index_link&utm_campaign=opik) |
| Mastra | Log traces for Mastra AI workflow framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/mastra?utm_source=opik&utm_medium=github&utm_content=mastra_link&utm_campaign=opik) |
| Microsoft Agent Framework (Python) | Log traces for Microsoft Agent Framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/microsoft-agent-framework?utm_source=opik&utm_medium=github&utm_content=agent_framework_link&utm_campaign=opik) |
| Microsoft Agent Framework (.NET) | Log traces for Microsoft Agent Framework .NET calls | [Documentation](https://www.comet.com/docs/opik/integrations/microsoft-agent-framework-dotnet?utm_source=opik&utm_medium=github&utm_content=agent_framework_dotnet_link&utm_campaign=opik) |
| Mistral AI | Log traces for Mistral AI LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/mistral?utm_source=opik&utm_medium=github&utm_content=mistral_link&utm_campaign=opik) |
| n8n | Log traces for n8n workflow executions | [Documentation](https://www.comet.com/docs/opik/integrations/n8n?utm_source=opik&utm_medium=github&utm_content=n8n_link&utm_campaign=opik) |
| Novita AI | Log traces for Novita AI LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/novita-ai?utm_source=opik&utm_medium=github&utm_content=novita_ai_link&utm_campaign=opik) |
| Ollama | Log traces for Ollama LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/ollama?utm_source=opik&utm_medium=github&utm_content=ollama_link&utm_campaign=opik) |
| OpenAI (Python) | Log traces for OpenAI LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/openai?utm_source=opik&utm_medium=github&utm_content=openai_link&utm_campaign=opik) |
| OpenAI (JS/TS) | Log traces for OpenAI JavaScript/TypeScript calls | [Documentation](https://www.comet.com/docs/opik/integrations/openai-typescript?utm_source=opik&utm_medium=github&utm_content=openai_typescript_link&utm_campaign=opik) |
| OpenAI Agents | Log traces for OpenAI Agents SDK calls | [Documentation](https://www.comet.com/docs/opik/integrations/openai_agents?utm_source=opik&utm_medium=github&utm_content=openai_agents_link&utm_campaign=opik) |
| OpenClaw | Log traces for OpenClaw agent runs | [Documentation](https://www.comet.com/docs/opik/integrations/openclaw?utm_source=opik&utm_medium=github&utm_content=openclaw_link&utm_campaign=opik) |
| OpenRouter | Log traces for OpenRouter LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/openrouter?utm_source=opik&utm_medium=github&utm_content=openrouter_link&utm_campaign=opik) |
| OpenTelemetry | Log traces for OpenTelemetry supported calls | [Documentation](https://www.comet.com/docs/opik/tracing/opentelemetry/overview?utm_source=opik&utm_medium=github&utm_content=opentelemetry_link&utm_campaign=opik) |
| OpenWebUI | Log traces for OpenWebUI conversations | [Documentation](https://www.comet.com/docs/opik/integrations/openwebui?utm_source=opik&utm_medium=github&utm_content=openwebui_link&utm_campaign=opik) |
| Pipecat | Log traces for Pipecat real-time voice agent calls | [Documentation](https://www.comet.com/docs/opik/integrations/pipecat?utm_source=opik&utm_medium=github&utm_content=pipecat_link&utm_campaign=opik) |
| Predibase | Log traces for Predibase LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/predibase?utm_source=opik&utm_medium=github&utm_content=predibase_link&utm_campaign=opik) |
| Pydantic AI | Log traces for PydanticAI agent calls | [Documentation](https://www.comet.com/docs/opik/integrations/pydantic-ai?utm_source=opik&utm_medium=github&utm_content=pydantic_ai_link&utm_campaign=opik) |
| Ragas | Log traces for Ragas evaluations | [Documentation](https://www.comet.com/docs/opik/integrations/ragas?utm_source=opik&utm_medium=github&utm_content=ragas_link&utm_campaign=opik) |
| Semantic Kernel | Log traces for Microsoft Semantic Kernel calls | [Documentation](https://www.comet.com/docs/opik/integrations/semantic-kernel?utm_source=opik&utm_medium=github&utm_content=semantic_kernel_link&utm_campaign=opik) |
| Smolagents | Log traces for Smolagents agents | [Documentation](https://www.comet.com/docs/opik/integrations/smolagents?utm_source=opik&utm_medium=github&utm_content=smolagents_link&utm_campaign=opik) |
| Spring AI | Log traces for Spring AI framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/spring-ai?utm_source=opik&utm_medium=github&utm_content=spring_ai_link&utm_campaign=opik) |
| Strands Agents | Log traces for Strands agents calls | [Documentation](https://www.comet.com/docs/opik/integrations/strands-agents?utm_source=opik&utm_medium=github&utm_content=strands_agents_link&utm_campaign=opik) |
| Together AI | Log traces for Together AI LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/together-ai?utm_source=opik&utm_medium=github&utm_content=together_ai_link&utm_campaign=opik) |
| Vercel AI SDK | Log traces for Vercel AI SDK calls | [Documentation](https://www.comet.com/docs/opik/integrations/vercel-ai-sdk?utm_source=opik&utm_medium=github&utm_content=vercel_ai_sdk_link&utm_campaign=opik) |
| VoltAgent | Log traces for VoltAgent agent framework calls | [Documentation](https://www.comet.com/docs/opik/integrations/voltagent?utm_source=opik&utm_medium=github&utm_content=voltagent_link&utm_campaign=opik) |
| WatsonX | Log traces for IBM watsonx LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/watsonx?utm_source=opik&utm_medium=github&utm_content=watsonx_link&utm_campaign=opik) |
| xAI Grok | Log traces for xAI Grok LLM calls | [Documentation](https://www.comet.com/docs/opik/integrations/xai-grok?utm_source=opik&utm_medium=github&utm_content=xai_grok_link&utm_campaign=opik) |
| 集成 | 描述 | 文档 |
| ------------------------- | ----------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **ADK** | 记录 Google Agent Development Kit (ADK) 的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/adk?utm_source=opik&utm_medium=github&utm_content=google_adk_link&utm_campaign=opik) |
| **AG2** | 记录 AG2 LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/ag2?utm_source=opik&utm_medium=github&utm_content=ag2_link&utm_campaign=opik) |
| **aisuite** | 记录 aisuite LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/aisuite?utm_source=opik&utm_medium=github&utm_content=aisuite_link&utm_campaign=opik) |
| **Agent Spec** | 记录 Agent Spec 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/agentspec?utm_source=opik&utm_medium=github&utm_content=agentspec_link&utm_campaign=opik) |
| **Agno** | 记录 Agno 智能体编排框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/agno?utm_source=opik&utm_medium=github&utm_content=agno_link&utm_campaign=opik) |
| **Anthropic** | 记录 Anthropic LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/anthropic?utm_source=opik&utm_medium=github&utm_content=anthropic_link&utm_campaign=opik) |
| **Autogen** | 记录 Autogen 智能体工作流的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/autogen?utm_source=opik&utm_medium=github&utm_content=autogen_link&utm_campaign=opik) |
| **Bedrock** | 记录 Amazon Bedrock LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/bedrock?utm_source=opik&utm_medium=github&utm_content=bedrock_link&utm_campaign=opik) |
| **BeeAI (Python)** | 记录 BeeAI Python 智能体框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/beeai?utm_source=opik&utm_medium=github&utm_content=beeai_link&utm_campaign=opik) |
| **BeeAI (TypeScript)** | 记录 BeeAI TypeScript 智能体框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/beeai-typescript?utm_source=opik&utm_medium=github&utm_content=beeai_typescript_link&utm_campaign=opik) |
| **BytePlus** | 记录 BytePlus LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/byteplus?utm_source=opik&utm_medium=github&utm_content=byteplus_link&utm_campaign=opik) |
| **CrewAI** | 记录 CrewAI 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/crewai?utm_source=opik&utm_medium=github&utm_content=crewai_link&utm_campaign=opik) |
| **Cloudflare Workers AI** | 记录 Cloudflare Workers AI 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/cloudflare-workers-ai?utm_source=opik&utm_medium=github&utm_content=cloudflare_workers_ai_link&utm_campaign=opik) |
| **Cohere** | 记录 Cohere LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/cohere?utm_source=opik&utm_medium=github&utm_content=cohere_link&utm_campaign=opik) |
| **Cursor** | 记录 Cursor 对话的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/cursor?utm_source=opik&utm_medium=github&utm_content=cursor_link&utm_campaign=opik) |
| **DeepSeek** | 记录 DeepSeek LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/deepseek?utm_source=opik&utm_medium=github&utm_content=deepseek_link&utm_campaign=opik) |
| **Dify** | 记录 Dify 智能体运行的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/dify?utm_source=opik&utm_medium=github&utm_content=dify_link&utm_campaign=opik) |
| **DSPy** | 记录 DSPy 运行的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/dspy?utm_source=opik&utm_medium=github&utm_content=dspy_link&utm_campaign=opik) |
| **Flowise AI** | 记录 Flowise AI 可视化 LLM 应用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/flowise?utm_source=opik&utm_medium=github&utm_content=flowise_link&utm_campaign=opik) |
| **Fireworks AI** | 记录 Fireworks AI LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/fireworks-ai?utm_source=opik&utm_medium=github&utm_content=fireworks_ai_link&utm_campaign=opik) |
| **Gemini (Python)** | 记录 Google Gemini LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/gemini?utm_source=opik&utm_medium=github&utm_content=gemini_link&utm_campaign=opik) |
| **Gemini (TypeScript)** | 记录 Google Gemini TypeScript SDK 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/gemini-typescript?utm_source=opik&utm_medium=github&utm_content=gemini_typescript_link&utm_campaign=opik) |
| **Groq** | 记录 Groq LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/groq?utm_source=opik&utm_medium=github&utm_content=groq_link&utm_campaign=opik) |
| **Guardrails** | 记录 Guardrails AI 验证的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/guardrails-ai?utm_source=opik&utm_medium=github&utm_content=guardrails_link&utm_campaign=opik) |
| **Haystack** | 记录 Haystack 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/haystack?utm_source=opik&utm_medium=github&utm_content=haystack_link&utm_campaign=opik) |
| **Harbor** | 记录 Harbor 基准评估试验的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/harbor?utm_source=opik&utm_medium=github&utm_content=harbor_link&utm_campaign=opik) |
| **Instructor** | 记录 Instructor LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/instructor?utm_source=opik&utm_medium=github&utm_content=instructor_link&utm_campaign=opik) |
| **LangChain (Python)** | 记录 LangChain LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/langchain?utm_source=opik&utm_medium=github&utm_content=langchain_link&utm_campaign=opik) |
| **LangChain (JS/TS)** | 记录 LangChain JavaScript/TypeScript 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/langchainjs?utm_source=opik&utm_medium=github&utm_content=langchainjs_link&utm_campaign=opik) |
| **LangGraph** | 记录 LangGraph 执行的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/langgraph?utm_source=opik&utm_medium=github&utm_content=langgraph_link&utm_campaign=opik) |
| **Langflow** | 记录 Langflow 可视化 AI 应用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/langflow?utm_source=opik&utm_medium=github&utm_content=langflow_link&utm_campaign=opik) |
| **LiteLLM** | 记录 LiteLLM 模型调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/litellm?utm_source=opik&utm_medium=github&utm_content=litellm_link&utm_campaign=opik) |
| **LiveKit Agents** | 记录 LiveKit Agents AI 智能体框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/livekit?utm_source=opik&utm_medium=github&utm_content=livekit_link&utm_campaign=opik) |
| **Mastra** | 记录 Mastra AI 工作流框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/mastra?utm_source=opik&utm_medium=github&utm_content=mastra_link&utm_campaign=opik) |
| **Microsoft Agent Framework (Python)** | 记录 Microsoft Agent Framework 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/microsoft-agent-framework?utm_source=opik&utm_medium=github&utm_content=agent_framework_link&utm_campaign=opik) |
| **Microsoft Agent Framework (.NET)** | 记录 Microsoft Agent Framework .NET 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/microsoft-agent-framework-dotnet?utm_source=opik&utm_medium=github&utm_content=agent_framework_dotnet_link&utm_campaign=opik) |
| **Mistral AI** | 记录 Mistral AI LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/mistral?utm_source=opik&utm_medium=github&utm_content=mistral_link&utm_campaign=opik) |
| **n8n** | 记录 n8n 工作流执行的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/n8n?utm_source=opik&utm_medium=github&utm_content=n8n_link&utm_campaign=opik) |
| **LlamaIndex** | 记录 LlamaIndex LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/llama_index?utm_source=opik&utm_medium=github&utm_content=llama_index_link&utm_campaign=opik) |
| **Ollama** | 记录 Ollama LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/ollama?utm_source=opik&utm_medium=github&utm_content=ollama_link&utm_campaign=opik) |
| **OpenAI (Python)** | 记录 OpenAI LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/openai?utm_source=opik&utm_medium=github&utm_content=openai_link&utm_campaign=opik) |
| **OpenAI (JS/TS)** | 记录 OpenAI JavaScript/TypeScript 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/openai-typescript?utm_source=opik&utm_medium=github&utm_content=openai_typescript_link&utm_campaign=opik) |
| **OpenAI Agents** | 记录 OpenAI Agents SDK 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/openai_agents?utm_source=opik&utm_medium=github&utm_content=openai_agents_link&utm_campaign=opik) |
| **OpenClaw** | 记录 OpenClaw 智能体运行的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/openclaw?utm_source=opik&utm_medium=github&utm_content=openclaw_link&utm_campaign=opik) |
| **Novita AI** | 记录 Novita AI LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/novita-ai?utm_source=opik&utm_medium=github&utm_content=novita_ai_link&utm_campaign=opik) |
| **OpenRouter** | 记录 OpenRouter LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/openrouter?utm_source=opik&utm_medium=github&utm_content=openrouter_link&utm_campaign=opik) |
| **OpenTelemetry** | 记录 OpenTelemetry 支持的调用跟踪 | [文档](https://www.comet.com/docs/opik/tracing/opentelemetry/overview?utm_source=opik&utm_medium=github&utm_content=opentelemetry_link&utm_campaign=opik) |
| **OpenWebUI** | 记录 OpenWebUI 对话的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/openwebui?utm_source=opik&utm_medium=github&utm_content=openwebui_link&utm_campaign=opik) |
| **Pipecat** | 记录 Pipecat 实时语音智能体调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/pipecat?utm_source=opik&utm_medium=github&utm_content=pipecat_link&utm_campaign=opik) |
| **Predibase** | 记录 Predibase LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/predibase?utm_source=opik&utm_medium=github&utm_content=predibase_link&utm_campaign=opik) |
| **Pydantic AI** | 记录 PydanticAI 智能体调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/pydantic-ai?utm_source=opik&utm_medium=github&utm_content=pydantic_ai_link&utm_campaign=opik) |
| **Ragas** | 记录 Ragas 评估的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/ragas?utm_source=opik&utm_medium=github&utm_content=ragas_link&utm_campaign=opik) |
| **Smolagents** | 记录 Smolagents 智能体调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/smolagents?utm_source=opik&utm_medium=github&utm_content=smolagents_link&utm_campaign=opik) |
| **Semantic Kernel** | 记录 Microsoft Semantic Kernel 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/semantic-kernel?utm_source=opik&utm_medium=github&utm_content=semantic_kernel_link&utm_campaign=opik) |
| **Spring AI** | 记录 Spring AI 框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/spring-ai?utm_source=opik&utm_medium=github&utm_content=spring_ai_link&utm_campaign=opik) |
| **Strands Agents** | 记录 Strands Agents 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/strands-agents?utm_source=opik&utm_medium=github&utm_content=strands_agents_link&utm_campaign=opik) |
| **Together AI** | 记录 Together AI LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/together-ai?utm_source=opik&utm_medium=github&utm_content=together_ai_link&utm_campaign=opik) |
| **Vercel AI SDK** | 记录 Vercel AI SDK 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/vercel-ai-sdk?utm_source=opik&utm_medium=github&utm_content=vercel_ai_sdk_link&utm_campaign=opik) |
| **VoltAgent** | 记录 VoltAgent 智能体框架调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/voltagent?utm_source=opik&utm_medium=github&utm_content=voltagent_link&utm_campaign=opik) |
| **watsonx** | 记录 IBM watsonx LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/watsonx?utm_source=opik&utm_medium=github&utm_content=watsonx_link&utm_campaign=opik) |
| **xAI Grok** | 记录 xAI Grok LLM 调用的跟踪 | [文档](https://www.comet.com/docs/opik/integrations/xai-grok?utm_source=opik&utm_medium=github&utm_content=xai_grok_link&utm_campaign=opik) |
> [!TIP]
> If the framework you are using is not listed above, feel free to [open an issue](https://github.com/comet-ml/opik/issues) or submit a PR with the integration.
> [!TIP]
> 如果您使用的框架不在上述列表中，请 [打开 Issue](https://github.com/comet-ml/opik/issues) 或提交 PR。
If you are not using any of the frameworks above, you can also use the `track` function decorator to [log traces](https://www.comet.com/docs/opik/v1/tracing/log_traces/?from=llm&utm_source=opik&utm_medium=github&utm_content=traces_link&utm_campaign=opik):
如果您未使用任何框架，也可以使用 `track` 装饰器记录跟踪（[详情](https://www.comet.com/docs/opik/tracing/log_traces/?from=llm&utm_source=opik&utm_medium=github&utm_content=traces_link&utm_campaign=opik)）：
```python
import opik
opik.configure(use_local=True) # Run locally
opik.configure(use_local=True) # 本地运行
@opik.track
def my_llm_function(user_question: str) -> str:
# Your LLM code here
return "Hello"
# 在此处编写您的 LLM 代码
return "你好"
```
> [!TIP]
> The track decorator can be used in conjunction with any of our integrations and can also be used to track nested function calls.
> [!TIP]
> `track` 装饰器可与任何集成结合使用，亦可用于跟踪嵌套函数调用。
<a id="-llm-as-a-judge-metrics"></a>
### 🧑‍⚖️ LLM as a Judge metrics
<a id="🧑‍⚖-作为裁判的-llm"></a>
### 🧑‍⚖️ 作为裁判的 LLM
The Python Opik SDK includes a number of LLM as a judge metrics to help you evaluate your LLM application. Learn more about it in the [metrics documentation](https://www.comet.com/docs/opik/evaluation/metrics/overview/?from=llm&utm_source=opik&utm_medium=github&utm_content=metrics_2_link&utm_campaign=opik).
Python Opik SDK 包含多种 LLM-as-a-judge 指标，可帮助您评估 LLM 应用。详情请参阅 [指标文档](https://www.comet.com/docs/opik/evaluation/metrics/overview/?from=llm&utm_source=opik&utm_medium=github&utm_content=metrics_2_link&utm_campaign=opik)。
To use them, simply import the relevant metric and use the `score` function:
使用示例：
```python
from opik.evaluation.metrics import Hallucination
metric = Hallucination()
score = metric.score(
input="What is the capital of France?",
output="Paris",
context=["France is a country in Europe."]
input="法国的首都是哪里？",
output="巴黎",
context=["法国是欧洲的一个国家。"]
)
print(score)
```
Opik also includes a number of pre-built heuristic metrics as well as the ability to create your own. Learn more about it in the [metrics documentation](https://www.comet.com/docs/opik/evaluation/metrics/overview?from=llm&utm_source=opik&utm_medium=github&utm_content=metrics_3_link&utm_campaign=opik).
Opik 还提供多种预构建启发式指标，并支持创建自定义指标。更多信息请参阅同一 [指标文档](https://www.comet.com/docs/opik/evaluation/metrics/overview/?from=llm&utm_source=opik&utm_medium=github&utm_content=metrics_3_link&utm_campaign=opik)。
<a id="-evaluating-your-llm-application"></a>
### 🔍 Evaluating your LLM Applications
<a id="-评估您的应用"></a>
### 🔍 评估您的应用
Opik allows you to evaluate your LLM application during development through [Datasets](https://www.comet.com/docs/opik/v1/evaluation/manage_datasets/?from=llm&utm_source=opik&utm_medium=github&utm_content=datasets_2_link&utm_campaign=opik) and [Experiments](https://www.comet.com/docs/opik/v1/evaluation/evaluate_your_llm/?from=llm&utm_source=opik&utm_medium=github&utm_content=experiments_link&utm_campaign=opik). The Opik Dashboard offers enhanced charts for experiments and better handling of large traces. You can also run evaluations as part of your CI/CD pipeline using our [PyTest integration](https://www.comet.com/docs/opik/v1/testing/pytest_integration/?from=llm&utm_source=opik&utm_medium=github&utm_content=pytest_2_link&utm_campaign=opik).
在开发过程中，可使用 [Datasets](https://www.comet.com/docs/opik/evaluation/manage_datasets/?from=llm&utm_source=opik&utm_medium=github&utm_content=datasets_2_link&utm_campaign=opik) 和 [Experiments](https://www.comet.com/docs/opik/evaluation/evaluate_your_llm/?from=llm&utm_source=opik&utm_medium=github&utm_content=experiments_link&utm_campaign=opik) 进行评估。Opik 仪表板提供增强的实验图表并改进大规模跟踪处理。您还可以使用 [PyTest 集成](https://www.comet.com/docs/opik/testing/pytest_integration/?from=llm&utm_source=opik&utm_medium=github&utm_content=pytest_2_link&utm_campaign=opik) 将评估纳入 CI/CD 流程。
<a id="-star-us-on-github"></a>
## ⭐ Star Us on GitHub
<a id="-在-github-上给我们加星"></a>
## ⭐ 在 GitHub 上给我们加星
If you find Opik useful, please consider giving us a star! Your support helps us grow our community and continue improving the product.
如果您觉得 Opik 有用，请在 GitHub 上给我们加星！您的支持有助于我们壮大社区并持续改进产品。
[![Star History Chart](https://api.star-history.com/svg?repos=comet-ml/opik&type=Date)](https://github.com/comet-ml/opik)
<a id="-contributing"></a>
## 🤝 Contributing
<a id="🤝-贡献指南"></a>
## 🤝 贡献指南
There are many ways to contribute to Opik:
贡献 Opik 的方式有很多：
- Submit [bug reports](https://github.com/comet-ml/opik/issues) and [feature requests](https://github.com/comet-ml/opik/issues)
- Review the documentation and submit [Pull Requests](https://github.com/comet-ml/opik/pulls) to improve it
- Speaking or writing about Opik and [letting us know](https://chat.comet.com)
- Upvoting [popular feature requests](https://github.com/comet-ml/opik/issues?q=is%3Aissue+is%3Aopen+label%3A%22enhancement%22) to show your support
- 提交 [错误报告](https://github.com/comet-ml/opik/issues) 和 [功能请求](https://github.com/comet-ml/opik/issues)
- 审阅文档并提交 [Pull Requests](https://github.com/comet-ml/opik/pulls) 改进文档
- 在演讲或文章中介绍 Opik 并[告诉我们](https://chat.comet.com)
- 为热门 [功能请求](https://github.com/comet-ml/opik/issues?q=is%3Aissue+is%3Aopen+label%3A%22enhancement%22) 投票表示支持
To learn more about how to contribute to Opik, please see our [contributing guidelines](CONTRIBUTING.md).
更多详情请参阅 [CONTRIBUTING.md](CONTRIBUTING.md)。