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fix(email): route summaries through shared LLM adapter (#5841)

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* fix(email): route summaries through shared llm adapter

* chore(ci): refresh PR checks

* fix(email): preserve scheduled summary safeguards

---------

Co-authored-by: Matyas Fenyves <16389204+uhhgoat@users.noreply.github.com>
This commit is contained in:
Matyas Gosztonyi
2026-08-08 23:06:41 +02:00
committed by GitHub
co-authored by Matyas Fenyves
parent e4fa4ae5dd
commit 42da399b4d
7 changed files with 670 additions and 60 deletions
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routes/email_routes.py
+47 -47
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@@ -57,7 +57,8 @@ from routes.email_helpers import (
_extract_attachment_to_disk, _extract_html, _extract_text,
_fetch_sender_thread_context, _pre_retrieve_context,
_EMAIL_REPLY_SYS_PROMPT_BASE, _POOL_HOOKS,
_friendly_email_auth_error,
_friendly_email_auth_error, _email_summary_failure_log_detail,
_generate_email_summary, EMAIL_SUMMARY_ERROR_CODE, EMAIL_SUMMARY_ERROR_MESSAGE,
SendEmailRequest, ExtractStyleRequest,
ATTACHMENTS_DIR, COMPOSE_UPLOADS_DIR, SCHEDULED_DB,
attachment_extract_dir, _email_cache_owner_clause, email_translation_body_hash,
@@ -4766,8 +4767,6 @@ def setup_email_routes():
"""Generate a quick AI summary of an email body."""
try:
from src.endpoint_resolver import resolve_endpoint
from src.llm_core import _uses_max_completion_tokens, _restricts_temperature
import requests as _req
body = data.get("body", "")
subject = data.get("subject", "")
@@ -4778,7 +4777,11 @@ def setup_email_routes():
if account_id:
_assert_owns_account(account_id, owner)
if not body:
return {"success": False, "error": "No body provided"}
return {
"success": False,
"error": "No body provided",
"error_code": "email_summary_missing_body",
}
# If we know which UID this is, fetch the raw message and pull
# attachment text so the summary can reference invoice totals,
@@ -4807,53 +4810,43 @@ def setup_email_routes():
if not url:
url, model, headers = resolve_endpoint("default", owner=owner)
if not url or not model:
return {"success": False, "error": "No LLM endpoint configured"}
return {
"success": False,
"error": "No model configured for email summaries",
"error_code": "email_summary_not_configured",
}
req_headers = {"Content-Type": "application/json"}
if headers:
req_headers.update(headers)
tok_key = "max_completion_tokens" if _uses_max_completion_tokens(model) else "max_tokens"
payload = {
"model": model,
"messages": [
{"role": "system", "content": "You are an email summarizer. Format: 1-3 short bullet points (use '- '). Cover: main point, action items, deadlines. If the email has attachments (marked '--- ATTACHMENTS ---'), USE THEIR CONTENTS — pull invoice totals, deadlines, key clauses, concrete numbers/dates from PDFs/docs into the bullets. Be terse.\n\nOUTPUT FORMAT: Put ONLY the bullet points between these exact markers, each on its own line:\n<<<SUMMARY>>>\n- ...\n<<<END>>>\nAny reasoning must come BEFORE <<<SUMMARY>>> (ideally inside <think>...</think>). Only the text between the markers is kept."},
{"role": "user", "content": f"From: {sender}\nSubject: {subject}\n\n{body_for_llm[:12000]}\n\n---\n\nSummarize the email. Output the bullets between <<<SUMMARY>>> and <<<END>>>."},
],
tok_key: 8192,
"temperature": 0.3,
"stream": False,
}
# Reasoning models (o1/o3/o4/gpt-5) reject an explicit temperature.
if _restricts_temperature(model):
payload.pop("temperature", None)
resp = await asyncio.to_thread(
_req.post, url, json=payload, headers=req_headers, timeout=180
)
if not resp.ok:
return {"success": False, "error": f"LLM HTTP {resp.status_code}"}
rdata = resp.json()
msg = (rdata.get("choices") or [{}])[0].get("message", {})
content = (msg.get("content") or "").strip()
content = _extract_reply(content)
try:
content = await _generate_email_summary(
url=url,
model=model,
sender=sender,
subject=subject,
body_for_llm=body_for_llm,
headers=req_headers,
max_tokens=8192,
timeout=180,
)
except Exception as e:
logger.warning(
"Email summary LLM call failed %s",
_email_summary_failure_log_detail(e),
)
return {
"success": False,
"error": EMAIL_SUMMARY_ERROR_MESSAGE,
"error_code": EMAIL_SUMMARY_ERROR_CODE,
}
if not content:
# Model put everything in reasoning_content — extract bullet points
rc = (msg.get("reasoning_content") or "").strip()
# Find bullet-point style output (lines starting with -, •, *, or numbered)
bullet_lines = []
for line in rc.split("\n"):
stripped = line.strip()
if re.match(r"^[-•*]\s+|^\d+[.)]\s+", stripped):
bullet_lines.append(stripped)
if bullet_lines:
content = "\n".join(bullet_lines)
else:
# Last resort: take the last paragraph
paragraphs = [p.strip() for p in rc.split("\n\n") if p.strip()]
content = paragraphs[-1] if paragraphs else rc[:500]
if not content:
return {"success": False, "error": "Empty response from model"}
return {
"success": False,
"error": "The model returned an empty summary",
"error_code": "email_summary_empty",
}
# Cache the summary if we have a message_id
mid = data.get("message_id", "")
@@ -4876,8 +4869,15 @@ def setup_email_routes():
return {"success": True, "summary": content, "model_used": model}
except Exception as e:
logger.error(f"Failed to summarize: {e}")
return {"success": False, "error": "Mail operation failed"}
logger.error(
"Email summary route failed %s",
_email_summary_failure_log_detail(e),
)
return {
"success": False,
"error": EMAIL_SUMMARY_ERROR_MESSAGE,
"error_code": EMAIL_SUMMARY_ERROR_CODE,
}
@router.post("/translate")
async def translate_email(data: dict, owner: str = Depends(require_owner)):