A comprehensive tool for logging API calls and analyzing AI expenditure to optimize model costs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install oee-ai-cost-tracker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install oee-ai-cost-tracker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Cost Tracker?
The AI Cost Tracker is a specialized utility designed to bring financial transparency to AI development. By monitoring token consumption and API pricing, this skill allows developers to maintain strict control over their budget while using Openclaw Skills. It serves as a vital auditing layer that ensures every token used is accounted for and attributed to the correct task.
This skill synthesizes raw API data into actionable insights, helping teams identify cost-heavy operations and providing suggestions for more economical model alternatives based on specific task complexity. It is built to be lightweight, requiring only a standard Python environment and no external API keys for its tracking functions.
AI Cost Tracker Use Cases
- Monitoring real-time API spending across multiple models and providers.
- Generating historical cost reports for internal audits or project-based billing.
- Optimizing token usage by identifying inefficient prompts or unexpectedly expensive model calls.
- Implementing routing logic to switch simple tasks to cheaper models like Claude 3 Haiku.
How AI Cost Tracker Works
- The skill's logging library is integrated into your code or agent workflows.
- Every model interaction captures metadata including model name, input tokens, and output tokens.
- The data is appended to a local JSONL file for persistent storage and low overhead.
- The report script references a pricing configuration file to calculate exact costs based on current market rates.
- Users or agents trigger the reporting dashboard to visualize spending patterns by model, time frame, or use case.
AI Cost Tracker Setup
To get started with this component of your Openclaw Skills setup, ensure you have Python 3.10+ installed. No external dependencies are required.
# Run a full spending report
python report.py
# View spending for the last 7 days
python report.py --days 7
# Break down costs by model
python report.py --by-model
To integrate logging into your own scripts:
from tracker import log_usage
log_usage(model="claude-3-haiku", input_tokens=500, output_tokens=200, task="humanize")
AI Cost Tracker Data Schema & Taxonomy
The AI Cost Tracker organizes data using a flat-file structure for maximum portability and speed.
| Component | Type | Description |
|---|---|---|
tracker.py |
Python Script | The core library used to log usage data. |
report.py |
CLI Tool | The analytical engine that processes logs into reports. |
pricing.json |
Configuration | Contains the cost-per-token data for various AI models. |
usage.jsonl |
Data Store | A line-delimited JSON file containing the history of all API calls. |
AI Cost Tracker Advanced Features
- Time-period filtering for granular financial analysis over days or weeks.
- Model-specific cost breakdown to identify which LLMs are consuming the most budget.
- Automated routing suggestions to recommend cheaper alternatives for less complex tasks.
- Simple JSONL-based storage making it easy to export data to other Openclaw Skills for further processing.
SKILL.md
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