Previously ab_ai_mail.py intercepted file uploads before reaching the LLM and responded with a hardcoded clarification template. The LLM had no involvement in the file upload response. Changes: - ab_ai_mail.py: remove _post_file_clarification, _find_pending_attachments, _describe_zip, and the two-step pending-attachment lookup. All messages (text, files, or both) are dispatched to the agent service immediately. Files with no text pass an empty message — the LLM decides what to do. - upload.py: default message changed from hardcoded receipt instruction to '' so the LLM determines intent from file content. - master_agent._synthesize: always runs through the LLM for both single and multi-agent cases — no raw templates reach the user. - master_system.txt: add FILE UPLOADS routing rule so the LLM knows to route receipts to expenses_agent without asking for clarification. New flow: upload → parse → LLM classifies → agent acts → LLM synthesizes natural response → user sees it. Zero scripted intercepts. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
from __future__ import annotations
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import asyncio
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import logging
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import uuid
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from typing import List, Optional
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from fastapi import APIRouter, File, Form, HTTPException, Request, UploadFile, status
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from ..config import get_settings
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from .dispatch import DispatchResponse, _check_rate_limit, _verify_webhook_secret
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from ..tools.receipt_parser import parse_upload
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix='/upload', tags=['upload'])
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@router.post('', response_model=DispatchResponse)
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async def upload(
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request: Request,
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user_id: str = Form(...),
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message: str = Form(default=''),
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session_id: Optional[str] = Form(default=None),
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files: List[UploadFile] = File(default=[]),
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):
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_verify_webhook_secret(request)
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_check_rate_limit(user_id)
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from ..app_state import get_master_agent
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master = get_master_agent()
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if master is None:
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raise HTTPException(status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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detail='Agent service not ready')
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import asyncio
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from concurrent.futures import ThreadPoolExecutor
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_ocr_executor = ThreadPoolExecutor(max_workers=2)
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receipts: list[dict] = []
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loop = asyncio.get_event_loop()
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for f in files:
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data = await f.read()
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filename = f.filename or 'receipt'
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try:
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# parse_upload may run OCR (CPU-bound) — offload to thread pool
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parsed = await loop.run_in_executor(_ocr_executor, parse_upload, filename, data)
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receipts.extend(parsed)
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logger.info('upload: parsed %s → %d receipt(s)', filename, len(parsed))
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except Exception as exc:
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logger.warning('upload: parse failed for %s: %s', filename, exc)
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if not receipts:
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logger.warning('upload: no parseable receipts found in upload from user_id=%s', user_id)
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directive_id = session_id or uuid.uuid4().hex
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extra_context = {'receipts': receipts, 'user_id': user_id}
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settings = get_settings()
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timeout = settings.directive_timeout_minutes * 60
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try:
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response = await asyncio.wait_for(
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master.handle_message(
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user_id=user_id,
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channel_id=None,
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message=message,
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directive_id=directive_id,
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extra_context=extra_context,
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),
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timeout=timeout,
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)
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except asyncio.TimeoutError:
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raise HTTPException(
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status_code=status.HTTP_504_GATEWAY_TIMEOUT,
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detail=f'Directive timed out after {settings.directive_timeout_minutes}m',
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)
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except Exception as exc:
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logger.exception('upload error user=%s: %s', user_id, exc)
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raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc))
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return DispatchResponse(
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directive_id=response.directive_id,
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reply=response.response,
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escalations=response.escalations,
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actions_taken=response.actions_taken,
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session_id=session_id,
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)
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