Complete tracing, hard budget control, and full GDPR/AI Act compliance — without sending your prompts to the US. Migration took under 10 minutes. TL;DR Helicone is great… until you realize every single prompt and response is going through US servers. For European teams, this became a serious compliance risk. Here’s why I migrated to AIWatch (part of Luxkern) and what changed in production. The moment everything changed We had a customer support agent running on Claude 3.5 Sonnet. Everything was working smoothly… until our DPO asked the question we couldn’t easily answer: “Where exactly are the prompts containing our customers’ personal data being sent?” Answer: San Francisco, via Helicone. Even with SCCs and the EU-US Data Privacy Framework in place, we were still transferring PII and our proprietary system prompts (containing core business logic) to a US third party. For a side project, no big deal. For a European startup handling real customer data, that’s an audit nightmare waiting to happen under GDPR and the upcoming AI Act. Helicone remains an excellent tool. If you’re based in the US or compliance isn’t a priority for you right now stick with it. But if you’re in Europe, handling user data, or simply want to keep your entire infrastructure under control → AIWatch + LuxkernOS is currently the smartest choice. Ready to try it? → https://app.luxkern.com/register (Free plan includes basic tracing) Exclusive code for dev.to readers: **Builder plan still 3 months free → code LUXKERN-LAUNCH Questions for you: Are you already using an LLM observability tool in production? What’s your biggest pain right now, cost control, debugging agents, latency, or compliance? I read every comment. Let’s discuss!