Carlos Garcia 5b924e60de Add vision OCR via Ollama vision model with Tesseract fallback ...

Introduces VISION_OCR_MODEL setting. When set (e.g. llama3.2-vision:11b),
receipt images are transcribed by the Ollama vision model before falling
back to Tesseract. Also improves Tesseract preprocessing with adaptive
binarisation (autocontrast + threshold at 140) for better accuracy on
thermal receipts.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-05-16 18:43:21 -04:00

..

agents

feat: pre-creation confirmation step with inline duplicate warnings

2026-05-16 16:54:25 -04:00

llm

fix: force JSON output for Ollama intent classification; fix attachment detection

2026-05-16 01:17:58 -04:00

logging_utils

feat(infra): add sweep coordinator, structured logging, test suite, and README

2026-04-12 18:08:11 -04:00

mcp

feat(mcp): add MCP gateway — 14 tools over SSE, all agent calls forced local

2026-04-15 16:45:49 -04:00

memory

feat: OCR via tesseract, dedup, category selection for expense receipts

2026-05-16 01:40:32 -04:00

migrations

fix: MemoryManager kwarg 'llm' -> 'llm_router'; fix alembic script_location

2026-04-24 17:43:03 -04:00

prompts

feat(agent): direct-answer fallback for non-Odoo questions

2026-04-24 23:27:06 -04:00

routers

fix: widen actions_taken to list[Any] and improve bot error replies

2026-05-16 16:31:45 -04:00

tools

Add vision OCR via Ollama vision model with Tesseract fallback

2026-05-16 18:43:21 -04:00

app_state.py

feat(service): add FastAPI agent service with 5 routers and Docker setup

2026-04-12 17:54:28 -04:00

config.py

Add vision OCR via Ollama vision model with Tesseract fallback

2026-05-16 18:43:21 -04:00

main.py

feat: file upload + expense report creation from Discuss attachments

2026-05-16 01:02:24 -04:00