3c5f3ecb96
Conversational follow-up on a suggestion, streamed token-by-token. Backend (interface-only; handlers never touch a concrete LLM client): - internal/llm/chat.go: StreamAskPetal with conversational sampling (max_tokens 512, temp 0.7, rep 1.15, top_p 0.92, stop "\n\n\n"), reusing AskPetalSystemPrompt + TrimHistory. - internal/suggestions/chat.go: POST /api/suggestions/:id/chat. One user-scoped join loads the suggestion + parent content_text; surroundingParagraph extracts the \n\n-bounded paragraph at from_pos (whole-doc fallback when unlocated) and injects it server-side. Streams event: token / event: done SSE frames with JSON-encoded data so token newlines can't break framing; real http.Flusher per chunk. LLM-unreachable -> 502 before SSE headers; unknown suggestion -> 404. Frontend: - streamSuggestionChat: fetch + ReadableStream SSE parser (not EventSource, needs POST), abortable. - AskPetal.tsx: whole conversation in component state (no persistence, cleared on close), Petal's first bubble pre-seeded with the explanation, rose/lavender bubbles, CJK font stack on the bubbles only (Note #17), streaming caret. - SuggestionCard "Ask Petal" pill pins the card open while chatting (hover-close suppressed, click-away closes) and widens it to 340px. Tests: chat_test.go covers streamed-text concat + done event, server-side context injection on the system message, sampling params, 404, and surroundingParagraph. go build/vet/test clean, tsc clean, vite build OK. Live SSE smoke-tested against a fake streaming vLLM: tokens flushed individually through the chi middleware stack, done terminator, 502 on LLM-down, 404 on unknown suggestion. 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.