How does Agnost AI compare to Langfuse or Arize for catching agent quality failures?

All three can flag a bad agent run. They differ in what they judge and what happens next. Langfuse runs LLM judges on individual observations and alerts on scores; building the fix is up to you. Arize AX evaluates spans, traces, or sessions, and its Signal agent groups recurring failures into issues; agents that open pull requests are Enterprise-only. Agnost AI judges whole conversations against plain-language rules and, on every plan, turns a fired alert into a pull request and checks the alert again after you merge.