Commit Graph
54 Commits
Author SHA1 Message Date
bvandeusenandClaude Opus 4.6 d7bc3f3222 Add CalDAV calendar integration, LLM-suggested tags, and settings refinements
- CalDAV integration: per-user calendar config, create/list/search events
  via caldav library, LLM tools for calendar operations from chat
- LLM-suggested tags: new tag_suggestions service prompts LLM with existing
  tags and note content to suggest 3-5 relevant tags; exposed via API
  endpoints (suggest-tags, append-tag); integrated into editor views
  (suggest button + clickable pills) and chat tool calls (pills in
  ToolCallCard with one-click apply)
- Settings/model UI refinements, generation task improvements

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 22:40:20 -05:00
bvandeusenandClaude Opus 4.6 8996b45e50 Add LLM tool calling for creating tasks, notes, and searching from chat
Ollama tool/function calling integration allows the LLM to create tasks,
create notes, and search existing notes on behalf of the user during chat.
Multi-round tool loop (max 5 rounds) lets the model execute tools then
produce a natural language response. Tool results are persisted in a new
JSONB column on messages and rendered as compact cards with linked titles.

- Migration 0013: add tool_calls JSONB column to messages
- New services/tools.py: tool definitions + execute_tool dispatcher
- llm.py: ChatChunk dataclass, stream_chat_with_tools(), date in system prompt
- generation_task.py: multi-round tool call loop with SSE tool_call events
- Frontend: ToolCallRecord type, streamingToolCalls in store, ToolCallCard
  component, rendering in ChatMessage and ChatView streaming bubble

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:34:36 -05:00
bvandeusenandClaude Opus 4.6 a89d25f5d6 Refactor AI Assist to background-task + buffer architecture
The assist flow previously tied the entire LLM generation to a single
POST request with no keepalives, causing NS_ERROR_NET_PARTIAL_TRANSFER
in Firefox when Hypercorn closed the connection during gaps between
chunks. This refactor decouples generation into a background task with
a buffer and a separate SSE stream — the same pattern used by chat.

- generation_buffer.py: Widen _buffers to support string keys, add
  create/get/remove_assist_buffer() using "assist:{user_id}" keys,
  fix cleanup log format for string keys
- generation_task.py: Add run_assist_generation() — lightweight
  background task with no DB persistence or title generation
- notes.py: Replace single POST SSE route with POST /api/notes/assist
  (returns 202) + GET /api/notes/assist/stream (SSE with 15s keepalives
  and Last-Event-ID reconnection); 409 if already running
- useAssist.ts: Switch from apiStreamPost to apiPost + apiSSEStream
  two-step pattern with named event mapping and stream handle cleanup

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-13 00:27:21 -05:00
bvandeusenandClaude Opus 4.6 cbfdf5289e Add multi-user auth, background generation, and chat UX improvements
Phase 5: Multi-user authentication with session cookies, bcrypt passwords,
first-user-is-admin pattern, per-user data isolation, backup/restore,
Docker Swarm production stack with secrets and network isolation.

Phase 5.1: Chat UX improvements:
- Background generation architecture (GenerationBuffer + asyncio task)
  with SSE fan-out, reconnect support, and periodic DB flushes
- LLM-generated conversation titles (first exchange + every 10th message)
- Stop generation button with cancel_event and partial content preservation
- Relative timestamps in sidebar (5m ago, 3h ago, then dates)
- Empty chat auto-cleanup on navigation away
- Save-as-note uses LLM for title generation, tags notes with "chat"
- Summarize-as-note also tags with "chat"

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 14:36:30 -05:00