Glass-Box Observability: How to Prove Your AI Agent is Ready for Production
14 days ago 高效码农Agent Quality: From Black-Box Hopes to Glass-Box Trust A field manual for teams who build, ship, and sleep with AI Agents Article’s central question “How can we prove an AI Agent is ready for production when every run can behave differently?” Short answer: Stop judging only the final answer; log the entire decision trajectory, measure four pillars of quality, and spin the Agent Quality Flywheel. Why Classic QA Collapses in the Agent Era Core reader query: “My unit tests pass, staging looks fine—why am I still blindsided in prod?” Short answer: Agent failures are silent quality drifts, not hard exceptions, …
LLM Evaluation Framework: Mastering Opik for AI Model Optimization
7 months ago 高效码农Opik: A Comprehensive Guide to the Open-Source LLM Evaluation Framework In the current field of artificial intelligence, large language models (LLMs) are being applied more and more widely. From RAG chatbots to code assistants, and complex agent pipelines, LLMs play a crucial role. However, evaluating, testing, and monitoring these LLM applications has become a significant challenge for developers. Opik, as an open-source platform, offers an effective solution to this problem. This article will provide a detailed introduction to Opik, covering its functions, installation methods, quick start steps, and how to contribute to it. What is Opik? Opik is an open-source …