Wires up the existing MealieService to the conversational agent with tools
for querying today's meals, weekly meal plans, full recipes, shopping lists,
and creating new meal plan entries. Adds env vars to docker-compose and
updates the system prompt so the agent knows when to use each tool.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds simbakit/ as a subfolder service that polls PetKit smart devices
(litter box, fountain, feeder) and exposes pet weight, litter activity,
and device health data via three new LangChain tools.
Also fixes stale alerts bug where cleared conditions (e.g. waste bin
full) persisted because the query used max alert time instead of the
device's last_seen_at timestamp.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Markdown-aware chunking (split on headers before size-based splitting)
- Prepend note filename to each chunk for self-contained context
- Source-filtered retrieval (obsidian/paperless queries stay isolated)
- MMR search with k=8, fetch_k=24 for better recall and diversity
- Add source metadata to Paperless docs and folder metadata to Obsidian docs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Revert get_conversation_for_user to use Conversation.get() with
MultipleObjectsReturned fallback. Add channel field to Conversation
model and get_conversation_for_channel helper so each messaging
channel gets its own isolated conversation per user.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Switch from gws calendar +agenda to gws calendar events list with
explicit timeMin/timeMax and singleEvents=true to include all-day events.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds a get_calendar_events agent tool that shells out to `gws calendar +agenda`
for admin users. Controlled by GOOGLE_CALENDAR_ENABLED env var, with OAuth
credentials mounted from credentials.json.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update from journal/YYYY/YYYY-MM-DD.md to
50 - Journal/YYYY/MM/YYYY-MM-DD.md to match the actual Obsidian vault
folder layout.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Shift focus from cat persona to genuine helpfulness. Keep light
cat flavor but prioritize thorough, detailed answers over the
assertive cat act.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Consolidate onto PostgreSQL by using pgvector instead of a separate
ChromaDB instance. This removes a Docker volume, a large dependency,
and simplifies the stack without meaningful performance impact at
our document scale.
- Swap langchain-chroma for langchain-postgres (PGVector)
- Use pgvector/pgvector:pg16 Docker image with init script
- Lazy-initialize vector store to avoid eager DB connections
- Add SQL helpers for stats/delete/list (replacing _collection access)
- Remove legacy main.py, chunker, petmd scraper, and /api/query endpoint
Re-index required after deploy (POST /api/rag/index + /index-obsidian).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Give the LangChain agent a save_user_memory tool so users can ask it to
remember preferences and personal facts. Memories are stored per-user in
a new user_memories table and injected into the system prompt on each
conversation turn.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Conversations are now returned sorted by most recently updated first.
New conversations are named using the first 100 characters of the
user's initial message instead of a username+timestamp placeholder.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove unused image_url from upload response and TS type
- Remove bare except in serve_image that masked config errors as 404s
- Add error state and broken-image placeholder in QuestionBubble
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Browser <img> tags can't attach JWT headers, causing 401s. The image
endpoint now returns a time-limited presigned S3 URL via authenticated
API call, which the frontend fetches and uses directly.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Users can now attach images in the web chat for Simba to analyze using
Ollama's gemma3 vision model. Images are stored in Garage (S3-compatible)
and displayed in chat history.
Also fixes aerich migration config by extracting TORTOISE_CONFIG into a
standalone config/db.py module, removing the stale aerich_config.py, and
adding missing MODELS_STATE to migration 3.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Users can now receive a unique email address (ask+<token>@domain) and
interact with Simba by sending emails. Inbound emails hit a Mailgun
webhook, are authenticated via HMAC token lookup, processed through the
LangChain agent, and replied to via the Mailgun API.
- Extract shared SIMBA_SYSTEM_PROMPT to blueprints/conversation/prompts.py
- Add email_enabled and email_hmac_token fields to User model
- Create blueprints/email with webhook, signature validation, rate limiting
- Add admin endpoints to enable/disable email per user
- Update AdminPanel with Email column, toggle, and copy-address button
- Add Mailgun env vars to .env.example
- Include database migration for new fields
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Update llm.py to use OpenAI client with custom base_url for llama-server
- Update agents.py to use ChatOpenAI instead of ChatOllama
- Remove unused ollama imports from main.py, chunker.py, query.py
- Add LLAMA_SERVER_URL and LLAMA_MODEL_NAME env vars
- Remove ollama and langchain-ollama dependencies
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Ryan Chen