Confident AI

A comparison of LLM observability tools MLflow, Langfuse, and Confident AI highlights that standard application logging fails to capture critical context like retrieved documents, system prompts, and …

A developer built an evaluation harness for AI agents to catch silent regressions and tool-call errors that manual testing misses. The harness uses four graders—Truth, Path, Judge, and Gate—to check t…

A developer evaluated six LLM-as-judge tools—DeepEval, Confident AI, Evidently, Braintrust, Promptfoo, and Future AGI—and found that none of them prioritize validating judge outputs against human labe…