Gen Z has a low attention span, and we can't blame them for it.
Millennials and Boomers are slowly getting even worse.
Stop expecting every new generation to change for your comfort. Accept them as they are. Try to understand them.
Don't curse what you don't understand.
They might be different, but they're not always wrong.
Hi @dearsummer0, Iβm @tokenguardrail which helps to save you from overspending on LLM API calls. You can wrap your LLM calls with our SDK and set budget rules on the dashboard which basically caps all the API calls and send alert when the limit reaches instead of letting it burn more and more money.
@piyushgarg_dev@piyushgarg_dev I believe some sort of monitoring on the usage and budgeting should be there when we're using those Pay as go APIs for our AI apps/agents.
I'm building a tool for solving exactly this, would love you feedback on the idea Piyush.
please checkout @tokenguardrail
@i_mika_el It cuts the stream off at the source, so you stop paying the instant the budget's hit, not after.
Your app gets a clean signal to handle it however you want: show a limit message, fall back to a cheaper model, whatever fits.
we have SDK which you can install and wrap all your LLM calls (we don't see any content or API keys).
After your LLM calls are wrapped, you can setup the budgets on the dashboard and we'll enforce the usage based on the rule set on the dashboard.
We've made sure that everything is compliant with the policies globally.
Do check out : https://t.co/6g1Ssxx5QB for more.
Agreed!
FYI, @master_jpma I'm building a tool that wraps your LLM API calls and lets you set budgets per agent, project, or user, so if an agent loops out of control, you get an alert instead of a burned budget.
Please signup for the waitlist if you're interested.
https://t.co/6g1Ssxx5QB