Ship AI-native.
Cheela is the routing, evals, and observability layer between your application and every model provider you use. Write a capability once. Run it on any runtime.
Every provider is its own integration.
A different SDK for every model. Retry logic copy-pasted across services. No shared view of what your agents are actually doing once they reach production.
One gateway. Every model.
Cheela sits between your application and your model providers. You write capabilities once — Cheela handles routing, retries, evals, and observability for every runtime you register.
Four steps between your code and a model.
Define a capability
Describe what your agent can do — not which model runs it.
Register a runtime
Connect any model provider through one config file.
Call it from your app
POST /v1/executions — the same request shape every time.
Cheela orchestrates
Routing, evals, retries, and traces happen automatically.
Cheela orchestrates. Your infrastructure executes.
From zero to your first execution in a terminal.
Install the CLI, register a runtime, and run your first capability without leaving the shell.
Your inference layer at a glance.
Every runtime, execution, and token accounted for — the control plane Cheela ships with, not a demo built for a screenshot.
Docs written by the people who built it.
Engineering notes from the team building Cheela.
Deep dives on agent discovery, the capability model, and what we got wrong on the way here.
A new way for agents to use your product.
Most products are still built only for humans clicking buttons. Cheela exposes what your product does as capabilities an agent can call directly — no screen-scraping, no brittle browser automation. Just a typed call that does exactly what the button would.
Why capabilities, not APIs