I’m curious how people here are thinking about managing agentic LLM systems once they’re running in production.

[bryanadenhq]

Beyond basic observability, things like instrumentation, runtime control, and cost management seem to get complicated quickly as soon as you have multiple agents, tools, and models involved. In particular, it feels hard to reason about cost and token usage at the agent level, apply guardrails or budgets at runtime, or debug and compare agent runs in a structured way rather than just reading logs after the fact.
I’m interested in hearing how others are approaching this today. What parts are you building yourselves, what’s working, and where are you still feeling friction? This is just for discussion and learning, not pitching anything.