Track AI API costs, token usage, and prompt quality across all providers
Project description
AI Cost Auditor
Track AI API costs, token usage, and prompt quality across all providers — Anthropic, OpenAI, Google, Mistral, and more.
Install
pip install ai-cost-auditor
With provider SDKs:
pip install "ai-cost-auditor[anthropic]"
pip install "ai-cost-auditor[openai]"
pip install "ai-cost-auditor[all]"
Quick Start
from ai_cost_auditor import CostTracker
import anthropic
tracker = CostTracker()
client = tracker.wrap_anthropic(anthropic.Anthropic())
# Use exactly like the normal client — tracking is automatic
resp = client.messages.create(
model="claude-sonnet-4-6",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain async/await in Python"}]
)
# View stats
stats = tracker.get_stats(days=7)
print(f"Cost: ${stats['period']['total_cost_usd']:.4f}")
# Generate HTML report with charts
tracker.generate_report("report.html")
Features
- Cost tracking — automatic pricing for 30+ models
- Token tracking — input/output tokens per call, by day/model/provider
- Prompt quality — 5-dimension scoring (clarity, specificity, context, structure, efficiency)
- HTML reports — interactive Chart.js charts: cost over time, provider breakdown, model usage
- Language-agnostic — works with any provider via manual
tracker.track() - VSCode extension — live cost status bar + interactive dashboard
Supported Providers & Models
| Provider | Models |
|---|---|
| Anthropic | claude-opus-4-7, claude-sonnet-4-6, claude-haiku-4-5, claude-3.x |
| OpenAI | gpt-4o, gpt-4o-mini, gpt-4-turbo, gpt-3.5-turbo, o1, o3-mini |
| gemini-1.5-pro, gemini-1.5-flash, gemini-2.0-flash | |
| Mistral | mistral-large, mistral-small, codestral |
| Cohere | command-r-plus, command-r |
CLI
# Analyze prompt quality
ai-cost-auditor analyze "Write a function to validate email addresses"
# Show stats
ai-cost-auditor stats --days 7
# Generate report and open in browser
ai-cost-auditor report --days 30 --open
Manual Tracking (any provider)
tracker.track(
provider="google",
model="gemini-1.5-flash",
input_tokens=300,
output_tokens=120,
prompt_text="Your prompt here",
)
License
MIT
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