$0.00

per message — before you even type

Your AI agent is
bleeding money.

And you don't even see it.

↓ The Token FinOps Manifesto

We Believe

If you build AI agents and you don't know how many tokens each interaction costs, you are the developer who deploys to production without monitoring.
If you enforce least-privilege for your users but not for your tools, you are the security engineer who uses admin for everything locally.
If you right-size your infrastructure but not your context, you are the FinOps practitioner who ignores their own bill.
The discipline you apply to what you build must also apply to how you build.
Token FinOps is not optional. It's the next layer of engineering maturity.
Start measuring. Start governing. Start designing for efficiency. Or watch your margins disappear while wondering what happened.

The Hidden Cost of Context

Every message carries invisible weight. This loads before your actual question:

Context entries
25,000 tokens
Steering files
19,500 tokens
System prompt
6,500
Tool schemas
5,000
KB index
3,500
Your message
15

59,500 tokens of context for a 15 token question.
A 4,000:1 ratio. Like reading a novel to answer "what time is it?"

Monthly cost: $400–500

For a single developer. Using credits. Without noticing.

The Five Principles

Token FinOps isn't a tool. It's a discipline.

Context Is a Resource

Every file loaded into context pays rent on every API call. If it's relevant in <30% of sessions, don't always-load it.

Memory Has Tiers

Hot (last 10 items, 500 tokens) → Warm (summary, 12K) → Cold (searchable archive). Never bulk-load everything.

Budget Guards First

Your agent needs a circuit breaker. Not "alert after $500" — STOP before exceeding $X/day. Non-negotiable.

Route by Complexity

Not every task needs Sonnet. Simple → free model. Complex → expensive. Match cost to value delivered.

Audit Monthly

15 minutes: what's in context? What's dead? What's my memory size? What's my actual spend? Repeat.

Open Source Tools

We don't just talk about it. We build it.

⚓ Sayay

Agent cost guardrails. Daily/monthly/session USD limits. Actions: allow, warn, degrade, block.

npm i @carloscortezcloud/sayay-guard

🧭 Styrr

Multi-model LLM router. Automatic fallback chain. Route by cost, speed, or quality.

npm i @carloscortezcloud/styrr-llm

🌊 Tinkuy

Minimal agent framework. Tool loops + budget control + observability. 200 lines core.

npm i @carloscortezcloud/tinkuy-agent

🔍 SOFE

FinOps governance engine. 36 policies, 18 collectors. Cloud + AI cost evaluation.

pip install sofe

Join the Movement

Token FinOps is year 1. Cloud FinOps took 7 years to become mainstream.
We're starting now.

Read the Blog Series → GitHub →

Built by engineers who got tired of burning tokens.