What's the #1 reliability issue you've hit with AI agents in production?

We built agent-express around the idea that most agent failures aren't about the LLM — they're about everything around it: cost runaway, context overflow, silent tool errors, no retry logic. Curious what's been the biggest pain point for others building agents for real workloads?