Track and control AI agent costs.
Agent Lifecycle Economics
Why agent costs spiral out of control
When an agent fails a tool call or misinterprets an API response, it may retry 10 to 50 times in an automatic feedback loop without human intervention.
Each consecutive step carries previous messages, scratchpad thoughts, and JSON payloads. Prompt tokens scale exponentially with every turn.
Web scrapers, headless browsers, code execution sandboxes, and vector searches have external costs that are invisible to raw LLM token meters.
Traditional per-request timeouts do not stop multi-request workflows from quietly consuming $20.00+ on a single customer action.
End-to-End Agent Tracking with Budget Fuses
TypeScript / AI SDKimport { streamText } from 'ai';
import { vibezcheck } from 'vibezcheck';
// 1. Create a bounded session with a hard budget fuse
const session = vibezcheck.session({
customer: 'enterprise_tenant_9',
sessionBudgetUSD: 0.50, // Interrupts task if cumulative cost reaches $0.50
});
// 2. Bind the language model to the session budget
const model = session.model('gpt-4o');
// 3. Instrument tools with cost attribution
const tools = session.tools({
webSearch: {
description: 'Search the live web',
costUSD: 0.01,
execute: async ({ query }) => fetchSearchResults(query),
},
executeCode: {
description: 'Run Python script in isolated Docker sandbox',
costUSD: 0.03,
execute: async ({ code }) => runInSandbox(code),
},
});
// 4. Run multi-turn agent execution with automatic fuse box protection
const result = streamText({
model,
tools,
maxSteps: 8,
prompt: 'Research electric vehicle subsidy changes and synthesize findings',
});
// If the agent attempts a turn that exceeds $0.50, VibezCheck throws
// VibezCircuitBreakerError before the next inference or tool executes.
console.log('Session Cost:', session.getCurrentCostUSD());
console.log('Total Tokens:', session.getTotalTokens());Frequently Asked Questions
How much does an AI agent run cost?
A typical multi-turn AI agent task costs between $0.02 and $0.50 depending on the underlying model and tool calls. A 6-step agent using GPT-4o-mini might cost under $0.01, whereas the same agent using frontier reasoning models like OpenAI o1 or Claude 3.5 Sonnet with web browsing can quickly reach $0.30 to $1.20 per completed goal.
How do you stop an AI agent loop?
VibezCheck enforces hard session spending caps using an in-process circuit breaker (AgentSession). Before each model inference or tool call, the cumulative session expense is evaluated. If the budget is exceeded, VibezCheck immediately interrupts execution and throws a VibezCircuitBreakerError, preventing runaway billing.
Can I track external tool costs alongside LLM token costs?
Yes. Autonomous agents frequently invoke paid APIs, web search scrapers, and sandbox containers. VibezCheck provides session.trackTool() and session.tools() to attach fixed or dynamic dollar costs to tool executions, unifying token costs and API costs into one single session ledger.
Does VibezCheck work with Vercel AI SDK, LangChain, and custom agent runtimes?
Yes. VibezCheck provides first-class wrappers for Vercel AI SDK streamText/generateText tools, as well as a standalone AgentSession class that can be instrumented into any custom TypeScript loop, LangChain runnable, or state machine.
Protect your autonomous agents against runaway spend
Install the zero-latency TypeScript SDK and add session budgets in under 3 minutes.