Strip markdown formatting (bold, italic, headers, code, links, lists) from
LLM responses before sending via iMessage. Add scheduled messages feature
with CRUD API, background scheduler loop, and admin frontend panel.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Two fixes:
- Convert wikilinks to display text instead of stripping them entirely.
[[Noah]] becomes "Noah", [[target|display]] becomes "display". This
was causing names and references in wikilinks to be invisible to search.
- Switch _get_obsidian_indexed_files to async engine to avoid stale reads
from the separate sync engine, which caused files to be re-indexed
every cycle.
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>
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>
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>
Use the same llama-server (OpenAI-compatible API) for vision analysis
that the main agent uses, with OpenAI fallback. Sends images as base64
in the standard OpenAI vision message format.
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>
The get_transactions() method was truncating results to 50 by default,
causing incomplete transaction data. The YNAB API returns all matching
transactions in a single response, so this limit was unnecessary and
caused count/total inconsistencies.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Convert date strings to datetime.date objects before passing to API (strict Pydantic validation rejects strings)
- Use txn.var_date instead of txn.date (renamed in SDK v2 to avoid Python builtin conflict)
- Migrate BudgetsApi → PlansApi and update method names accordingly
Co-Authored-By: Claude Sonnet 4.6 <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