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comet-ml/opik

⭐ 22001 Python added to this list on 2025-05-06 repository created 2023-05-10

Opik is an open-source platform designed to support the entire lifecycle of large language model (LLM) applications, focusing on debugging, evaluating, monitoring, and optimizing these systems. It provides comprehensive tracing capabilities that allow developers to track all LLM calls, conversation logs, and agent activities with detailed context, both during development and in production environments. Opik integrates seamlessly with many popular frameworks and tools, including Google ADK, Autogen, and Flowise AI, enabling extensive observability through third-party integrations. The platform offers advanced evaluation features such as automated prompt evaluation, LLM-as-a-judge metrics for complex tasks like hallucination detection, moderation, and retrieval-augmented generation (RAG) assessment. It supports experiment management and dataset handling to facilitate rigorous testing and validation of LLM applications. Opik also integrates with CI/CD pipelines through PyTest, allowing continuous evaluation and quality assurance. For production use, Opik provides scalable monitoring dashboards that can handle high volumes of traces (over 40 million traces per day). It tracks feedback scores, trace counts, and token usage over time, helping teams identify and resolve issues quickly. Online evaluation rules powered by LLM-as-a-judge metrics enable real-time detection of production problems. Unique features include the Opik Agent Optimizer, a dedicated SDK and set of tools to enhance prompts and agent performance, and Opik Guardrails, which help implement safe and responsible AI practices. These features ensure that LLM-powered applications run better, faster, and more securely. Overall, Opik is a comprehensive, production-ready platform that empowers developers to build, evaluate, optimize, and monitor LLM systems effectively, making it a valuable tool for anyone working with large language models in real-world applications.

https://github.com/comet-ml/opik

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