Decisions in milliseconds.

A decision model answers in a single forward pass, with no token-by-token generation. On your own GPU, a five-question request to Laya takes about 10 ms, end to end through the HTTP API.

Speaks TypeSafe's API.

Ollaya serves /v1/systemone and /v1/models with TypeSafe's request and response shapes. The official TypeSafe Python SDK 0.7.1 works unchanged against a local server.

export TYPESAFE_BASE_URL=http://localhost:11435
export TYPESAFE_API_KEY=local export TYPESAFE_DEFAULT_MODEL=laya curl http://localhost:11435/v1/systemone -d '{ "model": "laya", "state": "Can I get an invoice for last month?", "questions": { "intent": { "type": "choice", "instructions": "What does the customer want?", "criteria": { "invoice": "Needs an invoice or receipt", "refund": "Wants money back", "other": "Anything else" } } } }'

{ "model": "laya:en", "answers": { "intent": { "type": "choice", "choice": "invoice", "confidence": 0.9547, "probabilities": { "invoice": 0.9698, "refund": 0.0172, "other": 0.013 } } }, "usage": { "input_tokens": 43, "output_tokens": 0 }
}

Open weights, ready to pull.

Start with Laya from Convai Innovations: an English model, a 100+ language model, a model fine-tuned for typed decisions, and a router that picks for you.

Private by default.

Tickets, emails and user messages are often the most sensitive data you have. With Ollaya they are scored where they already live.

Runs where you work.

A desktop app and a command line for macOS, Windows and Linux, and a Docker image for servers. Every model runs on the CPU; an NVIDIA GPU on Linux, in WSL 2 or in Docker takes a request down to milliseconds.