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api-cost-tracker

解析 OpenAI、Anthropic、OpenRouter、Google AI 等用量或账单数据,按模型、日期等维度汇总成本,并提供趋势、预算预警、费用最高请求与模型替换等优化分析,支持终端、Markdown、JSON、CSV 输出。

charlie-morrison
charlie-morrison
热度 39.14
最近更新 2026-05-11 17:42:01
分类:数据依赖:代码执行 / 读写文件应用场景:财务 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ai-api-cost-tracker
Metadata
name
api-cost-tracker
description
Track, analyze, and optimize AI API costs across OpenAI, Anthropic, OpenRouter, Google, and other LLM providers. Parses billing data, usage logs, or API responses to produce cost breakdowns by model, feature, and time period. Identifies optimization opportunities (model downgrades, caching, prompt compression). Use when asked to analyze API costs, track AI spending, optimize LLM usage, create cost reports, find expensive API calls, compare model pricing, set budget alerts, or audit API usage. Triggers on "API costs", "how much am I spending", "optimize API usage", "cost breakdown", "LLM spending", "token usage", "billing analysis", "reduce API costs", "budget tracking".

API Cost Tracker

Analyze and optimize AI API costs across multiple providers with detailed breakdowns, trend detection, and actionable savings recommendations.

Quick Start

# Analyze OpenRouter usage (from activity page export)
python3 scripts/api_cost_tracker.py openrouter --file activity.json

# Analyze OpenAI usage (from billing export)
python3 scripts/api_cost_tracker.py openai --file usage.json

# Analyze from environment (auto-detect provider from API keys)
python3 scripts/api_cost_tracker.py auto --days 30

# Cost breakdown by model
python3 scripts/api_cost_tracker.py openrouter --file activity.json --by model

# Cost breakdown by day with trend analysis
python3 scripts/api_cost_tracker.py openrouter --file activity.json --by day --trends

# Find most expensive requests
python3 scripts/api_cost_tracker.py openrouter --file activity.json --top 20

# Compare current vs optimized (model substitution analysis)
python3 scripts/api_cost_tracker.py openrouter --file activity.json --optimize

# Set budget alert threshold
python3 scripts/api_cost_tracker.py openrouter --file activity.json --budget 50.00

# Output as markdown report
python3 scripts/api_cost_tracker.py openrouter --file activity.json --output markdown

# Output as JSON
python3 scripts/api_cost_tracker.py openrouter --file activity.json --output json

Supported Providers

Provider Input Format Auto-detect
OpenAI Billing CSV/JSON export, API responses OPENAI_API_KEY
Anthropic Usage API, console export ANTHROPIC_API_KEY
OpenRouter Activity JSON, API responses OPENROUTER_API_KEY
Google AI Billing export GOOGLE_AI_API_KEY
Generic CSV with columns: timestamp, model, tokens_in, tokens_out, cost N/A

Analysis Features

  1. Cost Breakdown — by model, day, week, feature/tag, request type
  2. Trend Detection — spending velocity, anomaly detection, projected monthly cost
  3. Optimization Report — model substitution suggestions, caching opportunities, prompt compression candidates
  4. Budget Alerts — daily/weekly/monthly thresholds with projected overrun warnings
  5. Top Spenders — most expensive individual requests or sessions
  6. Model Comparison — cost-per-quality analysis using common benchmarks

Output Formats

  • Terminal (default) — colored tables and charts
  • Markdown — report suitable for documentation
  • JSON — structured data for programmatic use
  • CSV — spreadsheet-compatible export

How It Works

The script:

  1. Reads usage data from the specified source (file, API, or environment)
  2. Normalizes all entries to a common format (timestamp, model, input_tokens, output_tokens, cost)
  3. Applies current provider pricing to calculate/verify costs
  4. Groups and aggregates by the requested dimension
  5. Runs optimization analysis comparing current models to cheaper alternatives
  6. Generates the report in the requested format

Pricing Database

Built-in pricing for 50+ models (updated March 2026). Override with --pricing custom_prices.json.

Requirements

  • Python 3.8+
  • No external dependencies (stdlib only)