quickthink v0.2.1

quickthink v0.2.1

Released: 2026-08-04

What quickthink is for

quickthink is a local-first CLI and Python library for shaping Ollama-backed LLM calls. It uses routing and a compact plan-then-answer scaffold for prompts that appear multi-step, while sending simpler prompts directly to the selected local model.

What changed

• Prepared the first PyPI release path with a tag/version guard, distribution build, and package metadata validation before the protected trusted-publisher job can run.
• Added clear install guidance for both the source-only and post-PyPI states.
• Added quickthink --version for installed-package identification.
• Synced package, citation, and Zenodo metadata to 0.2.1.

There are no inference-path changes in this release and no general model-quality improvement claim.

Install and first result

After the PyPI publish job for this release has succeeded:

python -m pip install "quickthink==0.2.1"
ollama pull qwen2.5:1.5b
quickthink ask "Give me a 3-step plan to learn SQL basics" --model qwen2.5:1.5b

Before publication, install directly from the repository instead:

python -m pip install "quickthink @ git+https://github.com/hermes-labs-ai/quickthink.git"

Requirements and limits

• Python 3.9 or later, a running local Ollama service, and a pulled model are required.
• The supported model profiles are qwen2.5:1.5b, mistral:7b, and gemma3:27b; other models may run but are untuned.
• quickthink is not a hosted API, training framework, or general agent-orchestration platform. It does not verify answer correctness; results remain model- and task-dependent.

Links

• Quickstart
• Known limitations
• Release process

v0.2.0

quickthink is a local-first inference control layer for small LLMs

This release carries the scholarly metadata (.zenodo.json, CITATION.cff), an entity-definition README, and consistent Hermes Labs identity, archived with a citable DOI.