3f7e705028
Qwen 3.5 — the spec's recommended model — is a reasoning model. With thinking on, Ollama streams its chain-of-thought into a separate `thinking` field and hits num_predict before emitting any answer into `content`, so Complete() got an empty string and the checkpoint failed with "no JSON object in model output". Sending `"think": false` on every /api/chat request fixes it; non-thinking models (qwen2.5) ignore the flag. Validated end-to-end on deployment hardware (Ollama, qwen3.5:9b): the grammar checkpoint now caught all five ESL errors in a 3-sentence sample with correct JSON and string-anchoring, ~8.5s warm. Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
🌸 Petal
A self-hosted, privacy-first writing editor with warm bubbly design, auto-save, and
local-LLM grammar/ESL suggestions. See petal-spec.md for the full
design spec and BUILD_PLAN.md for build progress.
Stack
Go + chi backend · SQLite (modernc, pure Go) · React + Vite + Tiptap + Tailwind v4 frontend ·
local vLLM/Ollama for AI suggestions. Single-binary deployment (frontend embedded via go:embed).
Local development
Two processes during development:
# 1. Backend (serves /api on :8080)
go run ./cmd/server
# 2. Frontend dev server (HMR on :5173, proxies /api → :8080)
cd web && npm install && npm run dev
Open http://localhost:5173 while developing.
Production build (single binary)
cd web && npm run build # emits web/dist (embedded by the Go binary)
cd .. && go build -o petal ./cmd/server
./petal # serves UI + API on :8080
Configuration is via environment variables — copy .env.example to .env.
Status
Early build, multi-session. Auth (Authentik), Copyleaks plagiarism, and Docker/Traefik
deployment are deferred — see BUILD_PLAN.md.