We Gave Our AI Agent a Memory. Here Is What Broke.

Building an LLM agent pipeline feels straightforward until step four of twelve calls a model that times out, the worker dies, and you realize you just spent $3.20 on tokens that are now gone. No checkpoint. No resume. Just a dead process and an empty response. This is the part of agent development that nobody talks about when they are showing you the happy path demo. The real problem is not the prompt. It is what happens to the execution when the infrastructure does not cooperate. The specific f