Commit Graph

2 Commits

Author SHA1 Message Date
prosolis
82e2bcc777 Suggestions: right-margin comment rail + Mandarin explanations
Surface every outstanding suggestion as a card in the right-hand
whitespace, vertically aligned to the text it flags — so the writer sees
the whole queue at once instead of hovering each highlight. Cards stack
with collision avoidance, link both ways with their highlight (hover/click
↔ soft text wash, driven through the decoration plugin so it survives
edit repaints), and carry the same Accept / Dismiss / Ask Petal actions.
The rail is a progressive enhancement: it mounts only when there's room
beside the editor, otherwise the existing inline hover card is unchanged.
Stacked cards that reach the bottom-right corner tuck behind the
companion mascot (z-order).

When a card is expanded, the Ask Petal bubble now opens with the
Simplified-Chinese translation of the explanation (the English stays in
the card body) instead of repeating the same text twice — a new
POST /api/suggestions/{id}/translate one-shot LLM endpoint, loaded
lazily on open with an English fallback.

Verified live against the local LLM via the uitest harness: rail
stacking, hover↔text wash, expand/Ask Petal, accept-from-rail, narrow
fallback, and the Mandarin bubble.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 12:23:02 -07:00
prosolis
3c5f3ecb96 Phase 4: Ask Petal SSE chat
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
2026-06-25 21:05:39 -07:00