LLM Cost Guard

Monitors and enforces real-time LLM API spending with per-user quotas, alerts, daily reports, and budget limits to prevent cost overruns.

mariusfit@mariusfit

Install

openclaw skills install @mariusfit/llm-cost-guard

LLM Cost Guard — Token Budget & Spend Monitor

Track, budget, and alert on LLM API spending in real-time. Prevents runaway costs for AI agents, multi-user apps, and homelab automation.

What It Does

Real-time cost tracking — records every LLM call (tokens in/out, model, cost)
Budget enforcement — blocks requests when daily/monthly budgets are exceeded
Per-user quotas — free tier vs pro tier controls
Daily spend reports — delivered via WhatsApp/Telegram/Discord
Alerts — warns at 80% budget usage, blocks at 100%
Multi-model pricing — OpenAI, Anthropic, Groq, Ollama (Feb 2026 rates)

Quick Start

After install, configure your daily budget:

text

set budget daily 5.00

Then register API calls via the tracker:

bash

# Log an LLM call
llm-cost-guard log --model gpt-4o --input-tokens 1500 --output-tokens 800 --user alice

# Check current spend
llm-cost-guard status

# View full report
llm-cost-guard report

Commands

Command	Description
`llm-cost-guard status`	Current spend vs budget
`llm-cost-guard report`	Full breakdown by user/model/day
`llm-cost-guard set-limit daily <USD>`	Set daily spend limit
`llm-cost-guard set-limit user <key> <USD>`	Set per-user limit
`llm-cost-guard reset`	Reset counters (e.g., start of new period)
`llm-cost-guard watch`	Live tail of all LLM calls
`llm-cost-guard log`	Record a manual LLM usage entry

Configuration

json

{
  "dailyCostLimit": 5.00,
  "monthlyCostLimit": 50.00,
  "perUserDailyCostLimit": 1.00,
  "defaultModel": "gpt-4o-mini",
  "alertAt": 0.8,
  "alertChannel": "whatsapp",
  "dataPath": "~/.openclaw/workspace/llm-cost-guard-data.json"
}

Supported Models (Built-in Pricing)

Provider	Models
OpenAI	gpt-4o, gpt-4o-mini, gpt-4-turbo, gpt-3.5-turbo, o1, o1-mini, o3-mini
Anthropic	claude-3-5-sonnet, claude-3-5-haiku, claude-3-opus, claude-sonnet-4, claude-haiku-4
Groq	llama-3.3-70b, llama-3.1-8b, mixtral-8x7b, gemma2-9b
Ollama	Local models (free, $0 tracked)

OpenClaw Cron Integration

The skill auto-installs a daily cron job to:

Send a morning spend summary
Alert if yesterday's spend exceeded budget
Reset daily counters at midnight UTC

bash

# Manually add cron
openclaw cron add "0 8 * * *" "llm-cost-guard report --send-to whatsapp"

Use Cases

Homelab AI Automation

You run multiple OpenClaw agents with different API budgets. This skill tracks each agent's spend independently and warns you before the bill arrives.

Multi-User Chatbot

Users get a free daily quota (e.g., $0.50/day). This skill enforces it, returning a friendly 429 when exceeded.

Cost Audit

Run llm-cost-guard report --period month to see your full monthly AI spend breakdown by model and user.

Data Storage

All data stored locally at ~/.openclaw/workspace/llm-cost-guard-data.json. No external services. No telemetry.

Why Zero Dependencies?

Every dependency is a potential VirusTotal flag, a supply chain risk, and a maintenance burden. This skill uses only Node.js stdlib and OpenClaw's built-in tools.

Source & Issues

Source: https://github.com/mariusfit/llm-token-budget
Issues: https://github.com/mariusfit/llm-token-budget/issues
Author: @mariusfit