For engineers managing AI agents in production

Reddit r/AI_Agents News

Summary

An engineering discussion exploring how to change an AI agent's authority and permissions after it's already deployed in production, comparing approaches like config deploys, IAM/RBAC, policy engines such as Cedar and OPA, and gateway/proxy layers.

Can you change what an AI agent is allowed to do without changing the agent itself?More specifically, how do you change an agent's authority after it is already running in production? Some approaches I see: Change code/config → deploy/restart → new behavior IAM / RBAC / permissions Cedar / OPA / other policy engines Gateway / proxy between the agent and its tools Something else? For example, the agent can issue refunds. Today anything over $500 requires approval. Tomorrow the threshold needs to be $300. How do you handle that? And importantly: can a non-engineer make that change and have it take effect immediately?
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