No LLM observability platform signals detected

If your product uses large language model (LLM) features — AI that generates text, answers questions, or processes language — no signals were found indicating you are monitoring those features with an evaluation or observability tool. Without monitoring, you cannot measure whether your AI is hallucinating, how much it costs per request, how quickly it responds, or whether quality drops after a model update. Enterprise buyers increasingly ask for evidence that AI features are actively evaluated and measured. Integrate an LLM observability platform (such as Langfuse, Helicone, or similar) to log requests, track quality metrics, and alert you when something degrades. This also gives you data to improve the AI over time.