ai-provider-tracker 0.7.5

Unified usage and cost tracking for AI providers such as FAL.AI and OpenRouter.

AI Provider Tracker

AI Provider Tracker is a Python library for tracking AI provider usage and estimating per-generation costs across heterogeneous providers.

It is designed for apps that already call providers such as FAL.AI and OpenRouter, but need a centralized way to:

• normalize usage metadata
• calculate request/generation costs
• store raw request/response payloads for auditability
• persist optional local analytics in SQLite
• use bundled pricing snapshots without calling pricing APIs at runtime

Installation

pip install ai-provider-tracker

Optional FastAPI dependencies for the legacy model registry API:

pip install "ai-provider-tracker[api]"

Cost Tracking

Use your provider SDK as usual, then pass the request and response to the tracker.

from ai_provider_tracker import CostTracker

tracker = CostTracker()

event = tracker.track_generation(
    provider="fal",
    model="fal-ai/flux/dev",
    request={"prompt": "A cyberpunk city", "num_images": 2},
    response={"images": [{"url": "a"}, {"url": "b"}]},
)

print(event.cost.total)       # 0.050
print(event.cost.source)      # public_snapshot
print(event.cost.confidence)  # high
print(event.cost.breakdown)

Enable local SQLite persistence:

tracker = CostTracker(sqlite_path="ai_usage.sqlite")

This stores generation events with normalized usage, cost breakdown, raw request, raw response, and metadata.

OpenRouter

For OpenRouter, provider-reported usage cost is preferred when present:

event = tracker.track_generation(
    provider="openrouter",
    model="anthropic/claude-sonnet-4.5",
    request={"messages": [{"role": "user", "content": "Hello"}]},
    response={
        "usage": {
            "prompt_tokens": 1200,
            "completion_tokens": 800,
            "cost": "0.015",
        }
    },
)

print(event.cost.total)   # provider-reported cost
print(event.cost.source)  # provider_reported

If usage.cost is not present, the tracker falls back to token-based calculation using the bundled pricing catalog when possible.

Pricing Catalog

The package ships with a bundled JSON pricing catalog:

ai_provider_tracker/data/pricing_catalog.json

Runtime requests do not call pricing APIs. Pricing sync is handled by:

python scripts/sync_pricing_catalog.py

The GitHub Actions workflow .github/workflows/pricing_sync.yml runs daily and commits the catalog only when prices actually change.

Legacy Model Registry

This package still includes the original OpenRouter model registry APIs:

from ai_provider_tracker import LLMIndexSync

client = LLMIndexSync(mode="json")
models = client.get_cheapest(limit=5)

The old import path remains available temporarily:

from openrouter_insights import CostTracker

New code should use:

from ai_provider_tracker import CostTracker

Accuracy Contract

Cost values are intended for product analytics, internal attribution, and budget monitoring.

• FAL.AI costs are locally estimated from pricing snapshots and normalized request/response metadata.
• OpenRouter costs use provider-reported cost when available.
• Public bundled pricing is a reference snapshot, not a guarantee of account-specific billing.

For invoice-grade accounting, reconcile against provider billing/usage APIs.

License

MIT