u/Prize_Influence_4732

I’m curious how teams here are handling this.

While building multi-step AI agents,I kept running into cases where an agent would get stuck in loops or repeatedly call tools, quietly burning through tokens before anyone noticed.

I’m wondering how others are solving this in production.

• Do you set hard budgets per request or per session?
• Do you stop requests before they reach the model, or just monitor after the fact?
• Are you using API gateways, middleware, custom code, or something else?

I’d love to hear what has worked (or hasn’t) for your team.

I’m curious how teams here are handling this.

While building multi-step AI agents,I kept running into cases where an agent would get stuck in loops or repeatedly call tools, quietly burning through tokens before anyone noticed.

I’m wondering how others are solving this in production.

• Do you set hard budgets per request or per session?
• Do you stop requests before they reach the model, or just monitor after the fact?
• Are you using API gateways, middleware, custom code, or something else?

I’d love to hear what has worked (or hasn’t) for your team.