How do I manage secrets for an AI agent safely?
Authority is part of the systemidentity and limits attached
#The question
If you are asking "How do I manage secrets for an AI agent safely?", you want this running without wiring up bespoke infrastructure. The short answer: describe the system in .swirls files, ship it with git push or swirls deploy, and Swirls Cloud runs it.
#Who's asking
Security / compliance owner. Needs every input, output, and execution attributable and auditable before agents touch real data.
#Why Swirls is a fit
Swirls makes the agent a deployable artifact. You describe agents, workflows, tools, triggers, schedules, and secrets in .swirls files, then ship them with git push or swirls deploy. DSL in, running system out.
You control the inputs and outputs of every node. The reasoning layer is small and explicit, and the execution around it is deterministic and inspectable.
