This release adds 3 notable features for engineering teams evaluating rollout.
Published 29d
AI Agents & Assistants
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
ai-coding-agent
claude
cli
coding-assistant
developer-tools
ollama
+2 more
openai
python
Summary
AI summaryUpdates immediate, confirm, and https://claude.com/claude-code across a mixed release.
Full changelog
Make pulling any model "just work", with a much better pull UX — plus Ollama RAM/server cleanup on exit.
Added
- HuggingFace GGUF fallback — when a model isn't in Ollama's registry (or cloud), Kodiqa searches HuggingFace for a community GGUF build, lists the quant levels with sizes to choose from, and installs it via
ollama pull hf.co/<repo>:<quant>. Escalation per model: Ollama registry →<name>:cloud→ HuggingFace. - Live download progress — pulls stream Ollama's real progress bar instead of a static "Pulling…" line.
- Download sizes up front — the startup list and
/pullshow each model's size (concurrent registry lookup, no downloads); the confirm shows a total. Cloud models are labelled ☁ cloud, unknowns size ?. Models without alatesttag are resolved via the library tags page, so non-standard cloud tags (mistral-large-3:675b-cloud) are labelled cloud and sized-only models (granite4.1-guardian:8b) show a real size and pull using the resolved tag. - Paginated model list — up to ~234 models, 100/page,
next/prev, global numbers, lazy per-page sizing. - Pick-again loop —
nat the confirm returns to the picker;skipcancels. - Cancel a running pull —
Esc(confirm) orCtrl+C(immediate); the partial download is cached so re-pulling resumes.
Fixed
- Ollama no longer leaves a 10GB+ model resident in RAM after you quit — on exit Kodiqa unloads loaded models (
keep_alive=0). Disable withunload_ollama_on_exit: false. - A Kodiqa-started Ollama server is now stopped even across sessions (via a PID file), while never touching a GUI-app or user-started server.
527 tests pass, ruff clean.
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