{"name":"Opik: Open-Source LLM Observability, Evaluation, and Optimization","description":"Opik is an open-source platform by Comet designed to streamline the lifecycle of LLM applications. It provides comprehensive tools for debugging, evaluating, and monitoring RAG systems and agentic workflows. Developers can leverage its tracing, automated evaluations, and production-ready dashboards to build and optimize generative AI applications.","github":"https://github.com/comet-ml/opik","url":"https://osrepos.com/repo/comet-ml-opik","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/comet-ml-opik","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/comet-ml-opik.md","json":"https://osrepos.com/repo/comet-ml-opik.json","topics":["LLM Observability","LLM Evaluation","LLMOps","Open Source","Python","LangChain","LlamaIndex","Prompt Engineering"],"keywords":["LLM Observability","LLM Evaluation","LLMOps","Open Source","Python","LangChain","LlamaIndex","Prompt Engineering"],"stars":null,"summary":"Opik is an open-source platform by Comet designed to streamline the lifecycle of LLM applications. It provides comprehensive tools for debugging, evaluating, and monitoring RAG systems and agentic workflows. Developers can leverage its tracing, automated evaluations, and production-ready dashboards to build and optimize generative AI applications.","content":"## Introduction\n\nOpik, by Comet, is a robust open-source platform designed to debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows. It offers comprehensive tracing, automated evaluations, and production-ready dashboards, streamlining the generative AI development lifecycle from prototype to production. With Opik, developers can optimize prompts and agents, ensure full observability of LLM calls, and implement safe, responsible AI practices.\n\n## Installation\n\nGetting started with Opik is straightforward, with options for cloud deployment or self-hosting.\n\n### Option 1: Comet.com Cloud (Recommended)\n\nAccess Opik instantly without any setup, ideal for quick starts and hassle-free maintenance.\n*   [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)\n\n### Option 2: Self-Host for Full Control\n\nDeploy Opik in your own environment, choosing between Docker for local setups or Kubernetes for scalability.\n\n#### Self-Hosting with Docker Compose (Local Development)\n\nFor a local Opik instance, use the installation scripts:\n\n**On Linux or Mac:**\nbash\n# Clone the Opik repository\ngit clone https://github.com/comet-ml/opik.git\n\n# Navigate to the repository\ncd opik\n\n# Start the Opik platform\n./opik.sh\n\n\n**On Windows:**\npowershell\n# Clone the Opik repository\ngit clone https://github.com/comet-ml/opik.git\n\n# Navigate to the repository\ncd opik\n\n# Start the Opik platform\npowershell -ExecutionPolicy ByPass -c \".\\opik.ps1\"\n\nFor detailed instructions, refer to 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).\n\n#### Self-Hosting with Kubernetes & Helm (Scalable Deployments)\n\nFor production or larger-scale self-hosted deployments, Opik can be installed on a Kubernetes cluster using its Helm chart.\n*   [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)\n\n## Examples\n\nOpik offers a comprehensive Python SDK and integrations to facilitate tracing and evaluation.\n\n### Python SDK Quick Start\n\nInstall the package and configure it:\nbash\n# install using pip\npip install opik\n\n# or install with uv\nuv pip install opik\n\nConfigure the SDK:\nbash\nopik configure\n\nYou can also configure programmatically, for example, `opik.configure(use_local=True)`. Refer to the [Python SDK documentation](https://www.comet.com/docs/opik/python-sdk-reference/) for more options.\n\n### Logging LLM Traces\n\nThe easiest way to log traces is to use one of Opik's many direct integrations, which support frameworks like LangChain, LlamaIndex, OpenAI, Autogen, and many others.\n\nAlternatively, use the `opik.track` decorator:\npython\nimport opik\n\nopik.configure(use_local=True) # Run locally\n\n@opik.track\ndef my_llm_function(user_question: str) -> str:\n    # Your LLM code here\n    return \"Hello\"\n\n\n### LLM as a Judge Metrics\n\nOpik's Python SDK includes several LLM as a judge metrics to help evaluate your LLM application, such as hallucination detection.\npython\nfrom opik.evaluation.metrics import Hallucination\n\nmetric = Hallucination()\nscore = metric.score(\n    input=\"What is the capital of France?\",\n    output=\"Paris\",\n    context=[\"France is a country in Europe.\"]\n)\nprint(score)\n\nExplore more metrics 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).\n\n## Why Use Opik?\n\nOpik is an essential tool for any generative AI developer, offering:\n*   **Comprehensive Observability**: Deep tracing of LLM calls, conversation logging, and agent activity.\n*   **Advanced Evaluation**: Robust prompt evaluation, LLM-as-a-judge metrics, and experiment management.\n*   **Production-Ready**: Scalable monitoring dashboards and online evaluation rules to identify production issues, supporting over 40 million traces per day.\n*   **Optimization and Safety**: Tools like Opik Agent Optimizer and Opik Guardrails to continuously improve and secure your LLM applications.\n*   **Flexible Integration**: Support for a wide range of frameworks and integration with CI/CD pipelines via PyTest.\n\n## Links\n\n*   [Opik GitHub Repository](https://github.com/comet-ml/opik)\n*   [Opik Official Website](https://www.comet.com/site/products/opik/?from=llm&utm_source=opik&utm_medium=github&utm_content=website_button&utm_campaign=opik)\n*   [Opik Documentation](https://www.comet.com/docs/opik/?from=llm&utm_source=opik&utm_medium=github&utm_content=docs_button&utm_campaign=opik)\n*   [Comet Slack Community](https://chat.comet.com)","metrics":{"detailViews":16,"githubClicks":9},"dates":{"published":null,"modified":"2025-12-13T12:01:15.000Z"}}