ollaya-dev/ollaya
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
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README & documentation
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ollaya The decision layer for AI agents. Ollaya runs open decision models on your own hardware, the way Ollama runs LLMs. Typed questions in, calibrated answers out, in milliseconds: routing, guardrails, triage and tool approval without an LLM call. Website · Models · Bench · Docs · Releases · Hugging Face Created and maintained by Mert Cobanov (@mertcobanov). A decision model reads a state (a message, an email, a ticket, any JSON) plus typed questions (choice, score, noul) and returns calibrated probabilities in a single forward pass, in milliseconds. It never generates text. Ollaya pulls these models by name and serves them from a local daemon behind a self-hosted, Jev-compatible API (TypeSafe's /v1/systemone wire format), so the TypeSafe SDK and existing Jev clients work unchanged once they point at Ollaya and name an open model. Or ask your own questions: ollaya run kev --ask "Is a refund requested?" --ask "Which…
Read the full README ↗ · Preview checked 2026-11-11T06:49:45.848Z
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What this repository does
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
Repository facts
- Owner
- ollaya-dev
- Primary language
- Rust
- Stars
- 1,261
- Forks
- 72
- Open issues + pull requests
- 7
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2026-09-23T22:11:15.000Z
- Last push
- 2026-10-06T16:09:47.000Z
Topics and intended use
Owner-supplied topics: calibration, classification, decision-models, gliclass, jev, laya, llm-routing, local-inference, nli, ollama, onnx, onnxruntime, rust, typesafe, zero-shot-classification
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Source and freshness
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