Your AI agent is burning money right now
Loops that never exit. Context that grows every call. Premium models on routine work. AgentCC sees it, stops it, and opens the pull request that fixes it.
npm i agentcc · one line to connect
▲ the whole product in under a minute
Watch it catch a runaway loop
This is the whole product in twelve seconds: an agent gets stuck retrying the same request, spend races toward the budget, ACC kills it the moment the line is crossed — then opens the pull request that patches the loop for good.
- ✓Live spend meter
- ✓Budget enforced
- ✓Killed mid-run
- ✓Fix PR opened
▲ simulated run — loops every twelve seconds
Integrate, Monitor and Fix
Connect the agents you already run, see where money leaks, stop it automatically, and fix the cause — without changing how your agents work.
Connect the agents you already run
One line wraps the LLM client behind any agent in production — a support bot, a document pipeline, a screener. No rewrites, nothing about your agent changes.
import { withCostControl } from "agentcc";
const client = withCostControl(new OpenAI(), { agentId, accKey });See where the money leaks
Agents waste money in predictable ways: loops that never exit, context that grows every turn, the same question paid for twice, premium models doing routine work. We catch each one and put a dollar amount on it.
Stop the waste automatically
Set a budget and we enforce it. Simple calls run on cheaper models, repeats come back from cache free, and an agent that goes rogue gets stopped on its own — nobody has to be watching.
Get the fix as a pull request
Click Fix PR on any alert. We find the cause in your agent's code, fix it in a sandbox, and open a pull request for your team to review. Nothing merges without you.
Typical result
0%
cut from the monthly agent bill once routing, caching, and fix PRs land.
See itIn Action
A quick walkthrough.
Flaws caught and priced
Loops, prompt bloat, fat prompts, redundant calls, expensive models, call spikes, stuck output — each one surfaced as a plain-language alert with the wasted dollars attached and a one-click fix.
- ✓Runaway loops
- ✓Prompt bloat
- ✓Stuck output
Get started in 3 steps
Live in minutes. No rewrites, no agent changes.
Works with your LLM SDK
Get an API key
Create an account and mint a key on the API Keys page, then set it as ACC_KEY.
Install the SDK
npm install agentccWrap your client
One line, then keep calling the client exactly as before. Pick your SDK:
import { withCostControl } from "agentcc";
import OpenAI from "openai";
const client = withCostControl(new OpenAI(), {
agentId: "support-bot",
accKey: process.env.ACC_KEY,
});
// Use it exactly like the OpenAI client — usage is tracked for you.
await client.chat.completions.create({ model: "gpt-4o", messages });Built for production, not demos
Everything you need to trust an agent with real work — per agent, from one dashboard.
One-line setup
Wrap your LLM client and you're live. No rewrites, no agent changes.
Waste alerts
Loops, growing context, duplicate calls, stuck retries — each with a dollar amount attached.
Spend caps
Give each agent a budget and a call limit. We stop it the moment it crosses either.
Force-kill switch
Force-stop any agent in one click, even mid-run — the next call is blocked before a token is spent. Revive it just as fast.
Smart routing
Routine calls automatically run on cheaper models. Toggle it live from the dashboard.
Response cache
Answered once, answered free. Use our managed store — or bring your own database and keep every cached response on your infra.
Auto rules
Slow down or stop an agent on its own the moment waste crosses your line.
Cost per success
Mark workflows as success, failure, or rework — and see what a successful completion actually costs, not just raw tokens.
Board view
A monthly cost / quality / danger dashboard your CFO can read without a decoder ring.
No-redeploy controls
Routing, caching, and kill decisions push to the SDK live. No code change, no restart.
Fix PRs on GitHub
One click opens a pull request in your repo that fixes the root cause. You review, you merge.
Private by design
We never see your prompts, outputs, code, or keys. Only token counts and cost.
Monitoring shows you the damage.
We prevent it.
Observability tools report what your agents spent — after the fact. AgentCC caps spend before it blows up, stops rogue agents on its own, and opens the pull request that fixes the cause.
See it. Stop it. Fix it. That's what makes AI safe to adopt.
Private by design
AgentCC never stores your prompts, outputs, code, or API keys. It sends only token counts, cost, and a one-way fingerprint — enough to spot waste, nothing more. Fix PRs run in a throwaway sandbox and land only in your own repo.