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>
