Why make applications AI-native?
Because the model layer changes faster than any application should have to. Cheela exists so your product logic doesn't have to be rewritten every time a better model ships.
Why not integrate directly with every AI provider?
Direct integrations mean every provider outage, rate limit, and API change becomes your incident. Cheela absorbs that surface area — you register a runtime once, and routing, retries, and failover are handled underneath your application code.
Why capabilities instead of traditional APIs?
A capability describes what your agent can do — "classify a ticket", "summarize a document" — independent of which model executes it. That means you can swap gpt-4.1 for claude or a fine-tuned model on another provider without touching a single call site.
Why does observability need to be built in, not bolted on?
Most teams only find out an agent is misbehaving after a customer complains. Cheela traces every execution — inputs, outputs, latency, and eval scores — by default, so you see drift before it ships.
Why Cheela over existing solutions?
Most tools solve one piece: a proxy, a prompt manager, or a logging dashboard. Cheela is the full path from your application to the model and back — one gateway, one SDK, one place to look when something breaks.
"We built Cheela because every team we talked to was solving the same routing and observability problems from scratch. One gateway config replaces all of it."