ADK Cost Tracker
Centralized, provider-agnostic LLM cost tracking and pricing management for Google ADK.
ADK Cost Tracker is a lightweight observability layer for Python 3.10+ that intercepts LLM usage and persists it to a shared database. It solves the "distributed pricing" problem by using your database as the Source of Truth for model costs across all your services.
Feature Matrix
| Feature | Description |
|---|---|
| Agnostic Core | Treats providers and models as arbitrary keys-no hard SDK dependencies. |
| Centralized Pricing | Store LLM prices in a shared DB; update once, sync everywhere. |
| Shared Storage | Drop-in support for the same PostgreSQL instance used by ADK's SessionService. |
| Auto-Seeding | Automatically populates new databases with current market pricing. |
| CLI Reporting | Generate cross-app cost summaries directly from your terminal. |
| Zero-Config Plugin | Seamless integration with Google ADK agents via CostTrackerPlugin. |
Installation
# Core only (SQLite + Python 3.10+)
pip install adk-cost-tracker
# With PostgreSQL support (Recommended for production)
pip install "adk-cost-tracker[postgres]"
Agnostic Design
ADK Cost Tracker is designed to be provider-blind. It does not include logic for specific LLM SDKs (like OpenAI or Bedrock). Instead, it provides a clean interface that expects:
- Model Key: A string identifier (e.g.,
"gpt-4o","gemini-1.5-pro"). - Usage Metadata: Token counts (input, output, cached).
This allows the library to stay extremely lightweight and future-proof as new providers emerge.
🚦 Quick Start
1. Integrate with Google ADK
The library provides a first-class plugin for Google ADK that automatically captures usage metadata from model responses.
from adk_cost_tracker import CostTrackerPlugin
from adk_cost_tracker.store import make_store
# Connect to your shared ADK database
store = make_store("postgresql://user:pw@host/mydb")
# Initialize the plugin
plugin = CostTrackerPlugin(
store=store,
app_name="finance_agent",
sync_pricing=True, # Syncs local memory with DB values at startup
verbose=True
)
# Add to your ADK Runner
runner = Runner(
agent=agent,
app_name="finance_agent",
plugins=[plugin]
)
2. Centralized Pricing Management
You can update pricing globally for all your apps by updating the llm_pricing table in your database.
from adk_cost_tracker.pricing import registry
from adk_cost_tracker.store import make_store
async def update_global_prices():
store = make_store("postgresql://user:pw@host/mydb")
# Update a specific model price
await store.update_price(
model_key="gpt-4o",
provider="openai",
input_per_m=2.50,
output_per_m=10.00
)
# All ADK apps will reflect this change on their next sync/restart.
📊 Comparison
| Feature | ADK Cost Tracker | Microsoft Presidio / Others |
|---|---|---|
| Focus | FinOps & Cost Observability | PII Redaction / Content Safety |
| Storage | Self-hosted (Postgres/SQLite) | Cloud-specific or SaaS |
| Pricing | Centralized in YOUR DB | Hardcoded or API-polled |
| Integration | Native ADK Plugin | Generic Wrappers |
Developer Info
Running Tests
# Install dev dependencies
uv sync --dev
# Run pytest
uv run pytest tests
Linting
uv run ruff check src tests
📜 License
Distributed under the Apache License, Version 2.0. See LICENSE for more information.
Copyright © 2026 Sthitaprajna Sahoo
Release files for adk-cost-tracker 0.1.6
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