CloudGrip

Hard budget caps and proxy gateway for LLM API traffic

September 17, 2026 How I built a hard budget-cap proxy to stop runaway AI API bills

Hey indie hackers! 👋

Like many of you, I've been experimenting with building small AI-powered scripts and tools. But a while back, I ran into a major anxiety point: writing a script, leaving a loop running by accident, and waking up to a terrifying cloud or API bill.

Most enterprise tools for managing LLM spending are bloated or meant for huge corporate teams. As an indie dev, I just wanted something simple, lightweight, and foolproof.

So, I built CloudGrip: a lightweight proxy gateway and dashboard that sits in front of your LLM API calls, tracks real-time usage, and—most importantly—has a hard budget circuit breaker that automatically cuts execution loops off before spending goes over your limit.

The Tech Stack:

Backend: Node.js, Express, and Supabase PostgreSQL.

Payments: Fully integrated live Paystack subscription flow ($20/mo model) for automated handling.

Frontend: Clean, straightforward dashboard with a live request log stream and a configurable hard budget input panel.

I just went live with real payments under MOH CODES. If you're building with LLMs and want absolute control over your API spend without the enterprise bloat, check it out here: https://cloudgrip-ai.onrender.com

Would love to hear how other solo devs handle API budget safety in their apps!

Aliyu Nazeer

1 Like

9 Comments

Say something nice…

Post Comment

2

The hard cap is the real product, not the dashboard. Have any developers trusted it with live API spend yet, and did it actually stop a runaway loop?

Aryan Sinh

·
11 days ago
·
Reply
1. 0
  
  Spot on. The hard cap is definitely the core engine. It sits right in the proxy middleware—if a script or runaway agent loop hits the budget limit, it instantly short-circuits with a 402 and blocks further requests before it drains your wallet. Built it precisely because waking up to a surprise API bill from an infinite loop is a nightmare
  
  Aliyu Nazeer
  
  ·
  11 days ago
  ·
  Reply
  1. 1
    
    The hard-cap use case is the part I’d be interested in digging into. If you’re open to it, what’s the best email to reach you on?
    
    Aryan Sinh
    
    ·
    11 days ago
    ·
    Reply
    1. 1
      
      Hey Aryan! Appreciate that. You can reach me directly at aliyunazeer21@gmail.com, or shoot me a DM on X/Twitter @haidar007pi. I'd love to hear what kind of agent or app stack you're currently running where runaway costs are a risk
      
      Aliyu Nazeer
      
      ·
      11 days ago
      ·
      Reply
      1. 1
        
        Thanks! I’ve just sent it over.
        Looking forward to hearing your thoughts whenever you have a chance.
        
        Aryan Sinh
        
        ·
        11 days ago
        ·
        Reply
1

A hard cap is necessary, but it does not change the unit price of a healthy agent run. The other lever is the price floor on long, repeated contexts. Frontier product surfaces still win when you need the vendor controls and the highest-capability path. The open Flash-class models matter when token volume is what blocks shipping. High-volume agents that reload big contexts keep hitting a lower floor there. Cap for the p99 loop. Cheaper long-context weights for the median run. I wrote up the Flash vs Astra cost math here if useful: https://pub.towardsai.net/glm-5-3-flash-vs-gpt-6-astra-the-open-model-that-rewrites-the-cost-equation-a132406aa464?sk=cc4252b2a44ce14c7e19f9e3588468e7

glenn all

·
2 days ago
·
Reply
1. 1
  
  Totally agree, flash models definitely change the math for those heavy context reloads. Honestly, I built CloudGrip purely as an emergency p99 safety brake so I don't accidentally wake up to a massive surprise bill from an unmonitored loop... Quick question though: since you've clearly been down this road, what's your best advice for getting actual devs to notice a tool like this without blowing money on ads? I'm currently stuck trying to get past that initial visibility hurdle. Would love any tactical tips you've got!
  
  Aliyu Nazeer
  
  ·
  2 days ago
  ·
  Reply
1

Hard cap is the right primitive. I'd push one step further though: a cap stops the bleeding, it doesn't change the unit economics. The nasty part of agent workloads is that cost isn't linear in prompts, it's linear in retries and context reloads. You can sit at $0.40 median per run and still hit $34 on p99. A circuit breaker saves you from the p99, but you're still paying per token on every median run too. The other lever is flat-rate. I'm the founder of Piramyd, so discount this accordingly: we do $30/mo with unlimited tokens behind an OpenAI-compatible gateway, which is where I landed after one too many nights wondering what the loop was doing. For reference, one month of my own usage was 6.89M tokens, which at list price came to $167.43. Curious about the case where the cap fires mid-task. Does the agent get a clean handoff, or does it just die and lose its context?

credolopes

·
2 days ago
·
Reply
1. 1
  
  Appreciate the breakdown, man! You're totally right about the p99 context bloat, that's honestly the scariest part of agent loops since the payload balloons with every single retry. To answer your question, when the cap hits, it just cuts the connection and returns a hard error right there to stop the bleeding without saving state, because letting a runaway loop keep going usually just messes things up worse anyway
  
  Aliyu Nazeer
  
  ·
  2 days ago
  ·
  Reply

CloudGrip

About

People