hunch-engine-ollama

An engine plugin for hunch: any model Ollama serves becomes a hunch engine.

model: ollama:qwen2.5:0.5b                        # hunch's own prompt, read from token probabilities
model: ollama:bespoke-minicheck#rag-unsupported   # the model's own format, from a template in this package

hunch install hunch-engine-ollama                  # once published; from a checkout: hunch install ./plugins/hunch-engine-ollama
hunch plugins                                      # ollama:  hunch-engine-ollama==0.1.0  ok
hunch test spec.yml --model ollama:qwen2.5:0.5b --max-cost 0 --receipt   # measured like any engine; costs nothing

It is also the reference plugin: one async answer(), answers in Jev's shapes, a cache adapter that changes with any template, concurrency = 1 for a single local model, and smoke tests that run without Ollama (python -m pytest). See hunch.engines for the contract, and hunch's Engines reference for what it measured.

A template (TEMPLATES in hunch_engine_ollama.py) asks a specialised model in its own format and says what its Yes means for the spec's question. The name after # is part of the model string, so its answers are cached and benchmarked apart from the generic prompt's.