- All specialist agents: handle_peer_request(request_type, params, directive_id)
replaces handle_peer_request(request: dict) so callers pass structured args
- ab_ai_bot: force-write bus_presence.status via SQL so Odoo 18 WebSocket presence
shows the correct colour immediately (ORM compute does not trigger on last_poll writes)
- odoo_client: wrap XML-RPC executor calls in asyncio.wait_for to enforce timeout
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The old flow required a "confirm" reply after showing a parsed-receipt
table, but that follow-up dispatch call carries no receipts (they only
exist in the /upload context). The confirmation gate was architecturally
broken: the second turn would always create nothing.
Fix: create the expense sheet immediately when receipts are present.
Byte-exact and semantic duplicates are auto-skipped; the count of
skipped items is reported in the success message. The report is always
created in Odoo as a draft so users can review amounts and submit
manually via Odoo > Expenses.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Before writing any expense records the bot now posts a numbered table
of parsed vendor/amount/date for every receipt, with duplicate entries
flagged inline. User replies 'confirm' (skips dups) or 'confirm, keep
all'. This catches OCR amount misreads before they land in Odoo.
Also removes the separate awaiting_dup_approval step; duplicate review
is now part of the single confirmation table.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Pass 1 unchanged: same date + amount within 0.05 + vendor similarity 60%.
Pass 2 (new): same vendor (>= 80% similarity) + same date, regardless
of amount, to catch receipts where OCR misread the total.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaced 'pick the largest one' guidance with 'bottom-most total' and
'return 0 if no clear total found' to avoid picking line items or tips.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- master_agent: thread raw user message into extra_context and peer_data so
expenses_agent can check it directly without relying on LLM intent_summary
- master_agent: when receipts are in extra_context always route to expenses_agent,
so replies like 'skip duplicates' still trigger expense processing
- expenses_agent: _plan() checks peer_data raw_message alongside task so
skip/keep keywords are detected even when master rewrites the intent
- ab_ai_mail: wrap clarification message HTML in Markup() so Odoo does not
re-escape the tags; use <br> instead of <br/>
- ab_ai_mail: convert agent plain-text replies newlines to <br> for proper
line-break rendering in Discuss
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- expenses_agent: extract transaction time (HH:MM) from OCR receipt text
- expenses_agent: _find_semantic_duplicate uses time to rule out false positives (>30 min apart = different receipts)
- expenses_agent: pause when duplicates found, set mode=awaiting_dup_approval, ask user before creating sheet
- expenses_agent: _report formats approval message listing each dup pair with vendor/amount/date/times/filenames
- ab_ai_mail: _find_pending_attachments recognises dup-approval bot message so ZIP re-attaches on user reply
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
After parsing all receipts, identify photos that are different shots of
the same physical receipt by comparing amount + date + vendor similarity
(difflib ratio >= 0.6). When a duplicate is found, keep whichever photo
produced the most OCR text (clearest shot) and report the skipped ones.
Zero-amount receipts (OCR failed entirely) are excluded from semantic
dedup to avoid false positives.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dockerfile: add tesseract-ocr-osd for orientation detection data
- receipt_parser: resize large phone photos to 1800px, convert to
grayscale, sharpen before OCR; use psm 1 (auto + OSD) so rotated
receipts are correctly oriented before text extraction
- expenses_agent: tighten amount extraction prompt to pick the FINAL
total, not subtotal or tax line, reducing misreads like 42.90->409.00
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ab_ai_bot: raise requests.post timeout 120s -> 600s so long OCR+LLM
runs don't silently drop the reply in Discuss
- upload: run parse_upload in ThreadPoolExecutor so tesseract OCR
doesn't block the FastAPI event loop
- expenses_agent: parse all receipts concurrently with asyncio.gather
(Ollama semaphore caps parallelism at 2); reduces 13-receipt LLM
time from ~39s sequential to ~20s parallel
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dockerfile: install tesseract-ocr so Pillow+pytesseract can OCR receipt images
- operational_store: JSON-serialize raw_data before passing to asyncpg JSONB
- receipt_parser: add SHA256 hash + date extracted from filename timestamps
- expenses_agent: deduplicate receipts by hash before creating expense records
- expenses_agent: fetch all expensable Odoo products, pass list to LLM for
category selection (Meals, Flights, etc.) per receipt
- expenses_agent: pass date_hint from filename (e.g. 20260509_180857.jpg -> 2026-05-09)
as fallback when OCR text is unavailable
- expenses_tools: add get_expense_products() to fetch all expensable products
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Discuss bot now reads ir.attachment from incoming messages; file-only
messages no longer silently dropped
- ZIP files are described (contents listed) and bot asks clarifying
question before acting; user's follow-up reply looks back for pending
attachments so files don't need to be re-uploaded
- receipt_parser: extracts text from ZIP (recursive), JPG/PNG/etc (OCR),
PDF (pdfplumber), HTML, TXT
- expenses_agent: full rewrite fixing broken method signatures; adds
create_expense_sheet / create_expense / attach_receipt flow driven by
LLM receipt parsing (Ollama, HIPAA-locked)
- master_agent: extra_context threads receipts + user_id into directives
- FastAPI /upload multipart endpoint; registered in main.py
- Odoo /ai/upload controller proxies files to agent service
- ab_ai_bot: dispatch_message_with_files() for multipart uploads
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
