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

* 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>

routes/email_helpers.py

@@ -247,6 +247,7 @@ import re as _re_reply
 _REPLY_OPEN_RE = _re_reply.compile(r"<<<\s*(?:REPLY|SUMMARY|OUTPUT)\s*>>+", _re_reply.I)
 _REPLY_CLOSE_RE = _re_reply.compile(r"<<<\s*END\s*>>+", _re_reply.I)
 _REPLY_ROLE_MARKER_RE = _re_reply.compile(r"</?\|(?:assistant|assistan|user|system|tool)\|>?|</\|end\|>?", _re_reply.I)
+_SUMMARY_BULLET_RE = _re_reply.compile(r"^(?:[-*\u2022]\s+|\d+[.)]\s+)")
 
 
 def _extract_reply(text: str) -> str:
@@ -277,6 +278,125 @@ def _extract_reply(text: str) -> str:
     return _strip_think(t).strip()
 
 
+def _build_email_summary_messages(sender: str, subject: str, body_for_llm: str) -> list[dict[str, str]]:
+    return [
+        {
+            "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\n"
+                "OUTPUT FORMAT: Put ONLY the bullet points between these exact "
+                "markers, each on its own line:\n"
+                "<<<SUMMARY>>>\n"
+                "- ...\n"
+                "<<<END>>>\n"
+                "Any 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>>>."
+            ),
+        },
+    ]
+
+
+async def _generate_email_summary(
+    url: str,
+    model: str,
+    sender: str,
+    subject: str,
+    body_for_llm: str,
+    *,
+    headers: dict | None = None,
+    max_tokens: int = 8192,
+    timeout: int = 180,
+) -> str:
+    """Generate an interactive email summary through the shared LLM adapter."""
+    from src.llm_core import llm_call_async
+
+    raw = await llm_call_async(
+        url=url,
+        model=model,
+        messages=_build_email_summary_messages(sender, subject, body_for_llm),
+        temperature=0.3,
+        max_tokens=max_tokens,
+        headers=headers,
+        timeout=timeout,
+        workload="foreground",
+    )
+    return _normalize_email_summary(raw)
+
+
+async def _generate_scheduled_email_summary(
+    url: str,
+    model: str,
+    sender: str,
+    subject: str,
+    body_for_llm: str,
+    *,
+    headers: dict | None = None,
+    owner: str | None = None,
+    max_tokens: int = 8192,
+    timeout: int = 180,
+) -> str:
+    """Generate a scheduled summary through the background task candidate chain."""
+    from src.task_endpoint import task_llm_call_async
+
+    raw = await task_llm_call_async(
+        messages=_build_email_summary_messages(sender, subject, body_for_llm),
+        fallback_url=url,
+        fallback_model=model,
+        fallback_headers=headers,
+        owner=owner,
+        temperature=0.3,
+        max_tokens=max_tokens,
+        timeout=timeout,
+    )
+    return _normalize_email_summary(raw)
+
+
+def _normalize_email_summary(raw) -> str:
+    """Extract a stable cache/UI summary from provider output."""
+    raw_text = raw or ""
+    if _REPLY_OPEN_RE.search(raw_text):
+        summary = _extract_reply(raw_text)
+        if summary:
+            return summary
+
+    cleaned = _strip_think(raw_text).strip()
+    bullets = [
+        line.strip()
+        for line in cleaned.splitlines()
+        if _SUMMARY_BULLET_RE.match(line.strip())
+    ]
+    if bullets:
+        return "\n".join(bullets)
+    return cleaned.strip()
+
+
+EMAIL_SUMMARY_ERROR_CODE = "email_summary_unavailable"
+EMAIL_SUMMARY_ERROR_MESSAGE = "Failed to summarize"
+
+
+def _email_summary_failure_log_detail(exc: BaseException) -> str:
+    """Return useful provider-failure metadata without echoing exception text."""
+    detail = f"type={type(exc).__name__}"
+    status = getattr(exc, "status_code", None)
+    if status is None:
+        status = getattr(getattr(exc, "response", None), "status_code", None)
+    if isinstance(status, int):
+        detail += f" status={status}"
+    return detail
+
+
 def _apply_email_style_mechanics(text: str) -> str:
     """Enforce deterministic writing-style mechanics that models often miss."""
     if not text:

routes/email_pollers.py

@@ -40,6 +40,7 @@ from routes.email_helpers import (
     _pre_retrieve_context,
     _attach_compose_uploads, _cleanup_compose_uploads, _q,
     SCHEDULED_DB, _EMAIL_REPLY_SYS_PROMPT_BASE, _email_cache_owner_clause,
+    _generate_scheduled_email_summary, _email_summary_failure_log_detail,
 )
 
 logger = logging.getLogger(__name__)
@@ -653,6 +654,7 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
         no_msgid = 0
         examined = 0
         _summaries_created = 0
+        _summary_failed = 0
         _events_created = 0
         _replies_drafted = 0
         _reply_failed = 0
@@ -785,16 +787,17 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
 
                 if need_sum:
                     try:
-                        summary = await task_llm_call_async(
+                        summary = await _generate_scheduled_email_summary(
-                            messages=[
+                            url=url,
-                                {"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 out invoice totals, deadlines, key clauses, any concrete numbers/dates in PDFs/docs, and reflect them in 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 or planning must come BEFORE <<<SUMMARY>>> (ideally inside <think>...</think>). Only the text between the markers is kept."},
+                            model=model,
-                                {"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>>>."},
+                            sender=sender,
-                            ],
+                            subject=subject,
-                            fallback_url=url, fallback_model=model, fallback_headers=headers,
+                            body_for_llm=body_for_llm,
+                            headers=req_headers,
                             owner=account_owner or None,
-                            temperature=0.3, max_tokens=16384, timeout=240,
+                            max_tokens=16384,
+                            timeout=240,
                         )
-                        summary = _extract_reply((summary or "").strip())
                         if summary:
                             _c = _sql3.connect(SCHEDULED_DB)
                             _c.execute("""
@@ -808,10 +811,19 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                             _summaries_created += 1
                             _uid_text = uid.decode() if isinstance(uid, bytes) else str(uid)
                             _detail_lines.append(f"summary · {_folder}#{_uid_text} · {subject or '(no subject)'} — {sender or '(unknown sender)'}")
+                        else:
+                            _summary_failed += 1
+                            _uid_text = uid.decode() if isinstance(uid, bytes) else str(uid)
+                            _detail_lines.append(f"summary empty · {_folder}#{_uid_text} · {subject or '(no subject)'} — {sender or '(unknown sender)'}")
                     except Exception as e:
+                        _summary_failed += 1
                         _uid_text = uid.decode() if isinstance(uid, bytes) else str(uid)
                         _detail_lines.append(f"summary failed · {_folder}#{_uid_text} · {subject or '(no subject)'} — {sender or '(unknown sender)'}")
-                        logger.warning(f"Auto-summary {uid} failed: {e}")
+                        logger.warning(
+                            "Auto-summary uid=%s failed %s",
+                            _uid_text,
+                            _email_summary_failure_log_detail(e),
+                        )
 
                 if need_reply:
                     await _emit_progress(progress_cb, f"Drafting reply {processed + 1}/{_max_process} · checked {examined}/{len(uid_list)}")
@@ -1320,6 +1332,8 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
             parts.append(f"processed {processed} new")
         if auto_sum:
             parts.append(f"summarized {_summaries_created}")
+            if _summary_failed:
+                parts.append(f"{_summary_failed} summary failed")
         if auto_reply_draft:
             parts.append(f"drafted {_replies_drafted} repl" + ("y" if _replies_drafted == 1 else "ies"))
             if _reply_failed:

routes/email_routes.py

@@ -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"
+            try:
-            payload = {
+                content = await _generate_email_summary(
-                "model": model,
+                    url=url,
-                "messages": [
+                    model=model,
-                    {"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."},
+                    sender=sender,
-                    {"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>>>."},
+                    subject=subject,
-                ],
+                    body_for_llm=body_for_llm,
-                tok_key: 8192,
+                    headers=req_headers,
-                "temperature": 0.3,
+                    max_tokens=8192,
-                "stream": False,
+                    timeout=180,
-            }
-            # 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:
+            except Exception as e:
-                return {"success": False, "error": f"LLM HTTP {resp.status_code}"}
+                logger.warning(
-            rdata = resp.json()
+                    "Email summary LLM call failed %s",
-            msg = (rdata.get("choices") or [{}])[0].get("message", {})
+                    _email_summary_failure_log_detail(e),
-            content = (msg.get("content") or "").strip()
+                )
-            content = _extract_reply(content)
+                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
+                return {
-                rc = (msg.get("reasoning_content") or "").strip()
+                    "success": False,
-                # Find bullet-point style output (lines starting with -, •, *, or numbered)
+                    "error": "The model returned an empty summary",
-                bullet_lines = []
+                    "error_code": "email_summary_empty",
-                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"}
 
             # 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}")
+            logger.error(
-            return {"success": False, "error": "Mail operation failed"}
+                "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)):

static/js/emailLibrary.js

@@ -13,7 +13,7 @@ import { makeWindowDraggable } from './windowDrag.js';
 import {
   _esc, _escLinkify, _extractName, _parseTurnMeta,
   _formatBubbleDate, _formatRecipients, _senderColor, _initials,
-  _sanitizeHtml,
+  _sanitizeHtml, _renderEmailSummaryError,
   _TALON_WROTE, _TALON_FROM, _TALON_SENT, _TALON_SUBJ, _TALON_TO,
   _TALON_ORIG_RE, _SIG_BLOAT_MIN_CHARS,
 } from './emailLibrary/utils.js';
@@ -7259,12 +7259,11 @@ async function _generateSummary(reader, data, btn) {
         if (label) label.textContent = 'Summary';
       }
     } else {
-      content.innerHTML = `<span style="color:var(--red)">${_esc(result.error || 'Failed to summarize')}</span>`;
+      _renderEmailSummaryError(content, result);
-      panel.remove();
     }
   } catch (e) {
     sp.destroy();
-    panel.remove();
+    _renderEmailSummaryError(content, null);
     if (uiModule) uiModule.showError?.('Failed to summarize');
   } finally {
     if (btn) btn.disabled = false;

static/js/emailLibrary/utils.js

@@ -30,6 +30,25 @@ export function _esc(text) {
   return div.innerHTML;
 }
 
+const _EMAIL_SUMMARY_ERROR_MESSAGES = Object.freeze({
+  email_summary_missing_body: 'No email body to summarize',
+  email_summary_not_configured: 'No model configured for email summaries',
+  email_summary_empty: 'The model returned an empty summary',
+  email_summary_unavailable: 'Failed to summarize',
+});
+
+export function _emailSummaryErrorMessage(result) {
+  const code = String(result?.error_code || '');
+  return _EMAIL_SUMMARY_ERROR_MESSAGES[code] || 'Failed to summarize';
+}
+
+export function _renderEmailSummaryError(container, result) {
+  const message = container.ownerDocument.createElement('span');
+  message.style.color = 'var(--red)';
+  message.textContent = _emailSummaryErrorMessage(result);
+  container.replaceChildren(message);
+}
+
 function _attrEsc(text) {
   return String(text ?? '')
     .replace(/"/g, '"')

tests/test_email_summary_error_ui_js.py

@@ -0,0 +1,52 @@
+import json
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+
+
+_REPO = Path(__file__).resolve().parent.parent
+_UTILS = (_REPO / "static" / "js" / "emailLibrary" / "utils.js").as_posix()
+_HAS_NODE = shutil.which("node") is not None
+
+pytestmark = pytest.mark.skipif(not _HAS_NODE, reason="node binary not on PATH")
+
+
+def test_email_summary_renderer_ignores_untrusted_provider_error_text():
+    secret = (
+        "endpoint=https://private.example.internal/v1 provider=ollama "
+        "model=private-model response_body=private-response "
+        "Authorization: Bearer token-secret-value"
+    )
+    script = f"""
+      import {{ _renderEmailSummaryError }} from '{_UTILS}';
+      const host = {{
+        ownerDocument: {{
+          createElement() {{ return {{ style: {{}}, textContent: '' }}; }},
+        }},
+        replaceChildren(node) {{ this.child = node; }},
+      }};
+      _renderEmailSummaryError(host, {{
+        error_code: 'email_summary_unavailable',
+        error: {json.dumps(secret)},
+      }});
+      console.log(JSON.stringify({{
+        text: host.child.textContent,
+        color: host.child.style.color,
+      }}));
+    """
+
+    proc = subprocess.run(
+        ["node", "--input-type=module"],
+        input=script,
+        capture_output=True,
+        text=True,
+        cwd=str(_REPO),
+        timeout=30,
+    )
+
+    assert proc.returncode == 0, proc.stderr
+    rendered = json.loads(proc.stdout)
+    assert rendered == {"text": "Failed to summarize", "color": "var(--red)"}
+    assert secret not in proc.stdout

tests/test_email_summary_llm.py

@@ -0,0 +1,406 @@
+import asyncio
+import json
+import logging
+import os
+import sqlite3
+import sys
+import tempfile
+from pathlib import Path
+
+import pytest
+
+
+_TMP_DATA = Path(tempfile.mkdtemp(prefix="odysseus-email-summary-"))
+os.environ.setdefault("DATA_DIR", str(_TMP_DATA))
+os.environ.setdefault("DATABASE_URL", f"sqlite:///{_TMP_DATA / 'app.db'}")
+
+PROJECT_ROOT = Path(__file__).resolve().parent.parent
+if str(PROJECT_ROOT) not in sys.path:
+    sys.path.insert(0, str(PROJECT_ROOT))
+
+
+def _route_endpoint(router, path: str, method: str):
+    method = method.upper()
+    for route in router.routes:
+        if route.path == path and method in getattr(route, "methods", set()):
+            return route.endpoint
+    raise AssertionError(f"route not found: {method} {path}")
+
+
+@pytest.mark.asyncio
+async def test_generate_email_summary_uses_shared_llm_adapter(monkeypatch):
+    import routes.email_helpers as email_helpers
+    import src.llm_core as llm_core
+
+    calls = {}
+
+    async def fake_llm_call_async(url, model, messages, **kwargs):
+        calls["url"] = url
+        calls["model"] = model
+        calls["messages"] = messages
+        calls["kwargs"] = kwargs
+        return "thinking before marker\n<<<SUMMARY>>>\n- Pay the invoice by Friday.\n<<<END>>>"
+
+    monkeypatch.setattr(llm_core, "llm_call_async", fake_llm_call_async)
+
+    summary = await email_helpers._generate_email_summary(
+        url="https://chatgpt.com/backend-api/codex/responses",
+        model="gpt-5.5",
+        sender="Billing <billing@example.com>",
+        subject="Invoice due",
+        body_for_llm="Please pay invoice 123 by Friday.",
+        headers={"Authorization": "Bearer test"},
+        max_tokens=1234,
+        timeout=45,
+    )
+
+    assert summary == "- Pay the invoice by Friday."
+    assert calls["url"] == "https://chatgpt.com/backend-api/codex/responses"
+    assert calls["model"] == "gpt-5.5"
+    assert calls["kwargs"]["headers"] == {"Authorization": "Bearer test"}
+    assert calls["kwargs"]["temperature"] == 0.3
+    assert calls["kwargs"]["max_tokens"] == 1234
+    assert calls["kwargs"]["timeout"] == 45
+    assert calls["kwargs"]["workload"] == "foreground"
+    assert calls["messages"][0]["role"] == "system"
+    assert calls["messages"][1]["role"] == "user"
+
+
+@pytest.mark.asyncio
+async def test_scheduled_email_summary_uses_background_fallback_chain(monkeypatch):
+    import routes.email_helpers as email_helpers
+    import src.llm_core as llm_core
+    import src.task_endpoint as task_endpoint
+
+    candidates = [
+        ("http://primary.invalid/v1", "primary-model", {"X-Candidate": "primary"}),
+        ("http://fallback.invalid/v1", "fallback-model", {"X-Candidate": "fallback"}),
+    ]
+    resolve_calls = []
+    wait_calls = []
+    llm_calls = []
+
+    def fake_resolve_task_candidates(**kwargs):
+        resolve_calls.append(kwargs)
+        return candidates
+
+    async def fake_wait_for_interactive_quiet(label):
+        wait_calls.append(label)
+        return False
+
+    async def fake_llm_call_async(url, model, messages, **kwargs):
+        llm_calls.append((url, model, messages, kwargs))
+        if model == "primary-model":
+            raise RuntimeError("primary unavailable")
+        return "<<<SUMMARY>>>\n- Used the fallback model.\n<<<END>>>"
+
+    monkeypatch.setattr(task_endpoint, "resolve_task_candidates", fake_resolve_task_candidates)
+    monkeypatch.setattr(task_endpoint, "wait_for_interactive_quiet", fake_wait_for_interactive_quiet)
+    monkeypatch.setattr(llm_core, "llm_call_async", fake_llm_call_async)
+
+    summary = await email_helpers._generate_scheduled_email_summary(
+        url="http://caller-fallback.invalid/v1",
+        model="caller-fallback-model",
+        sender="Sender <sender@example.com>",
+        subject="Scheduled subject",
+        body_for_llm="Please summarize this scheduled email.",
+        headers={"Authorization": "Bearer test"},
+        owner="alice",
+        max_tokens=321,
+        timeout=54,
+    )
+
+    assert summary == "- Used the fallback model."
+    assert resolve_calls == [{
+        "fallback_url": "http://caller-fallback.invalid/v1",
+        "fallback_model": "caller-fallback-model",
+        "fallback_headers": {"Authorization": "Bearer test"},
+        "owner": "alice",
+    }]
+    assert wait_calls == ["background task LLM"]
+    assert [call[1] for call in llm_calls] == ["primary-model", "fallback-model"]
+    assert all(call[3]["workload"] == "background" for call in llm_calls)
+    assert all(call[3]["max_tokens"] == 321 for call in llm_calls)
+    assert all(call[3]["timeout"] == 54 for call in llm_calls)
+
+
+@pytest.mark.asyncio
+async def test_scheduled_local_summary_is_preempted_by_foreground_call(monkeypatch):
+    import routes.email_helpers as email_helpers
+    import src.llm_core as llm_core
+    import src.task_endpoint as task_endpoint
+
+    local_url = "http://127.0.0.1:11434/v1/chat/completions"
+    background_started = asyncio.Event()
+    never_release = asyncio.Event()
+    observed_workloads = []
+
+    monkeypatch.setenv("ODYSSEUS_LOCAL_MODEL_GATE", "true")
+    monkeypatch.setenv("BACKGROUND_TASK_FOREGROUND_GATE", "false")
+    monkeypatch.setattr(llm_core, "_LOCAL_MODEL_LOCK", asyncio.Lock())
+    monkeypatch.setattr(llm_core, "_LOCAL_MODEL_CURRENT", {})
+    monkeypatch.setattr(llm_core, "_LOCAL_MODEL_WAITING_FOREGROUND", 0)
+    monkeypatch.setattr(
+        task_endpoint,
+        "resolve_task_candidates",
+        lambda **_kwargs: [(local_url, "scheduled-model", {})],
+    )
+
+    async def fake_wait_for_interactive_quiet(_label):
+        return False
+
+    async def gated_llm_call(url, model, messages, **kwargs):
+        assert messages
+        workload = kwargs.get("workload")
+        observed_workloads.append(workload)
+        async with llm_core._local_model_slot(url, model, workload=workload):
+            background_started.set()
+            await never_release.wait()
+        return "unreachable"
+
+    monkeypatch.setattr(task_endpoint, "wait_for_interactive_quiet", fake_wait_for_interactive_quiet)
+    monkeypatch.setattr(llm_core, "llm_call_async", gated_llm_call)
+
+    background_task = asyncio.create_task(email_helpers._generate_scheduled_email_summary(
+        url=local_url,
+        model="scheduled-model",
+        sender="Sender",
+        subject="Scheduled",
+        body_for_llm="Scheduled body",
+        owner="alice",
+    ))
+    foreground_task = None
+    try:
+        await asyncio.wait_for(background_started.wait(), timeout=1)
+
+        async def run_foreground():
+            async with llm_core._local_model_slot(
+                local_url,
+                "interactive-model",
+                workload="foreground",
+            ):
+                return True
+
+        foreground_task = asyncio.create_task(run_foreground())
+        with pytest.raises(asyncio.CancelledError):
+            await asyncio.wait_for(background_task, timeout=1)
+        assert await asyncio.wait_for(foreground_task, timeout=1) is True
+        assert observed_workloads == ["background"]
+    finally:
+        for task in (background_task, foreground_task):
+            if task is not None and not task.done():
+                task.cancel()
+
+
+@pytest.mark.asyncio
+async def test_manual_email_summary_uses_shared_helper_and_caches(tmp_path, monkeypatch):
+    import routes.email_helpers as email_helpers
+    import routes.email_routes as email_routes
+    import src.endpoint_resolver as endpoint_resolver
+
+    db_path = tmp_path / "scheduled_emails.db"
+    monkeypatch.setattr(email_helpers, "SCHEDULED_DB", db_path)
+    monkeypatch.setattr(email_routes, "SCHEDULED_DB", db_path)
+    email_helpers._init_scheduled_db()
+
+    resolve_calls = []
+
+    def fake_resolve_endpoint(kind, owner=None):
+        resolve_calls.append((kind, owner))
+        assert kind == "utility"
+        assert owner == "alice"
+        return (
+            "https://chatgpt.com/backend-api/codex/responses",
+            "gpt-5.5",
+            {"Authorization": "Bearer test"},
+        )
+
+    helper_calls = {}
+
+    async def fake_generate_email_summary(**kwargs):
+        helper_calls.update(kwargs)
+        return "- Manual summary"
+
+    monkeypatch.setattr(endpoint_resolver, "resolve_endpoint", fake_resolve_endpoint)
+    monkeypatch.setattr(email_routes, "_generate_email_summary", fake_generate_email_summary)
+
+    router = email_routes.setup_email_routes()
+    summarize = _route_endpoint(router, "/api/email/summarize", "POST")
+
+    result = await summarize(
+        {
+            "body": "This is a long enough email body for manual summary.",
+            "subject": "Manual subject",
+            "from": "Sender <sender@example.com>",
+            "message_id": "<manual@example.com>",
+            "folder": "INBOX",
+        },
+        owner="alice",
+    )
+
+    assert result == {
+        "success": True,
+        "summary": "- Manual summary",
+        "model_used": "gpt-5.5",
+    }
+    assert resolve_calls == [("utility", "alice")]
+    assert helper_calls["url"] == "https://chatgpt.com/backend-api/codex/responses"
+    assert helper_calls["model"] == "gpt-5.5"
+    assert helper_calls["headers"]["Authorization"] == "Bearer test"
+    assert helper_calls["headers"]["Content-Type"] == "application/json"
+
+    conn = sqlite3.connect(db_path)
+    try:
+        row = conn.execute(
+            "SELECT owner, summary, model_used FROM email_summaries WHERE message_id=?",
+            ("<manual@example.com>",),
+        ).fetchone()
+    finally:
+        conn.close()
+    assert row == ("alice", "- Manual summary", "gpt-5.5")
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("exception_kind", ["http", "runtime"])
+async def test_manual_email_summary_never_exposes_provider_exception(
+    monkeypatch,
+    caplog,
+    exception_kind,
+):
+    from fastapi import HTTPException
+    import routes.email_routes as email_routes
+    import src.endpoint_resolver as endpoint_resolver
+
+    secret_detail = (
+        "endpoint=https://private.example.internal/v1 provider=ollama "
+        "model=private-model response_body=private-response "
+        "Authorization: Bearer token-secret-value"
+    )
+
+    def fake_resolve_endpoint(kind, owner=None):
+        assert kind == "utility"
+        assert owner == "alice"
+        return (
+            "https://private.example.internal/v1",
+            "private-model",
+            {"Authorization": "Bearer token-secret-value"},
+        )
+
+    async def fail_summary(**_kwargs):
+        if exception_kind == "http":
+            raise HTTPException(status_code=502, detail=secret_detail)
+        raise RuntimeError(secret_detail)
+
+    monkeypatch.setattr(endpoint_resolver, "resolve_endpoint", fake_resolve_endpoint)
+    monkeypatch.setattr(email_routes, "_generate_email_summary", fail_summary)
+    caplog.set_level(logging.WARNING, logger=email_routes.__name__)
+
+    router = email_routes.setup_email_routes()
+    summarize = _route_endpoint(router, "/api/email/summarize", "POST")
+    result = await summarize(
+        {
+            "body": "This email body is long enough to summarize.",
+            "subject": "Sensitive provider failure",
+            "from": "Sender <sender@example.com>",
+        },
+        owner="alice",
+    )
+
+    assert result == {
+        "success": False,
+        "error": "Failed to summarize",
+        "error_code": "email_summary_unavailable",
+    }
+    exposed = json.dumps(result) + caplog.text
+    for marker in (
+        "private.example.internal",
+        "ollama",
+        "private-model",
+        "private-response",
+        "token-secret-value",
+    ):
+        assert marker not in exposed
+    assert f"type={'HTTPException' if exception_kind == 'http' else 'RuntimeError'}" in caplog.text
+
+
+@pytest.mark.asyncio
+async def test_scheduled_email_summary_uses_shared_helper_and_caches(tmp_path, monkeypatch):
+    import routes.email_helpers as email_helpers
+    import routes.email_pollers as email_pollers
+
+    db_path = tmp_path / "scheduled_emails.db"
+    monkeypatch.setattr(email_helpers, "SCHEDULED_DB", db_path)
+    monkeypatch.setattr(email_pollers, "SCHEDULED_DB", db_path)
+    email_helpers._init_scheduled_db()
+
+    raw_email = (
+        b"From: Sender <sender@example.com>\r\n"
+        b"To: Alice <alice@example.com>\r\n"
+        b"Subject: Scheduled subject\r\n"
+        b"Message-ID: <scheduled@example.com>\r\n"
+        b"Date: Tue, 01 Jan 2026 12:00:00 +0000\r\n"
+        b"Content-Type: text/plain; charset=utf-8\r\n"
+        b"\r\n"
+        + (b"Please review this scheduled summary email. " * 8)
+    )
+
+    class FakeImap:
+        def __init__(self):
+            self.logout_calls = 0
+
+        def select(self, _folder, readonly=True):
+            return "OK", []
+
+        def uid(self, command, *args):
+            if command == "SEARCH":
+                return "OK", [b"1"]
+            if command == "FETCH":
+                return "OK", [(b"1 (RFC822)", raw_email)]
+            raise AssertionError(f"unexpected uid command: {command!r} {args!r}")
+
+        def logout(self):
+            self.logout_calls += 1
+
+    fake_conn = FakeImap()
+
+    def fake_resolve_task_candidates(owner=None):
+        assert owner == "alice"
+        return [(
+            "https://chatgpt.com/backend-api/codex/responses",
+            "gpt-5.5",
+            {"Authorization": "Bearer test"},
+        )]
+
+    helper_calls = {}
+
+    async def fake_generate_email_summary(**kwargs):
+        helper_calls.update(kwargs)
+        return "- Scheduled summary"
+
+    monkeypatch.setattr(email_pollers, "_load_settings", lambda: {"email_auto_summarize": True})
+    monkeypatch.setattr(email_pollers, "_owner_for_email_account", lambda _account_id: "alice")
+    monkeypatch.setattr(email_pollers, "_imap_connect", lambda account_id=None, owner="": fake_conn)
+    monkeypatch.setattr(email_pollers, "_get_email_config", lambda account_id=None, owner="": {"from_address": "alice@example.com"})
+    monkeypatch.setattr(email_pollers, "resolve_task_candidates", fake_resolve_task_candidates)
+    monkeypatch.setattr(email_pollers, "_generate_scheduled_email_summary", fake_generate_email_summary)
+
+    result = await email_pollers._auto_summarize_pass_single(account_id="acct-alice")
+
+    assert "summarized 1" in result
+    assert "summary failed" not in result
+    assert helper_calls["url"] == "https://chatgpt.com/backend-api/codex/responses"
+    assert helper_calls["model"] == "gpt-5.5"
+    assert helper_calls["headers"]["Authorization"] == "Bearer test"
+    assert helper_calls["headers"]["Content-Type"] == "application/json"
+    assert helper_calls["owner"] == "alice"
+    assert fake_conn.logout_calls == 1
+
+    conn = sqlite3.connect(db_path)
+    try:
+        row = conn.execute(
+            "SELECT owner, summary, model_used FROM email_summaries WHERE message_id=?",
+            ("<scheduled@example.com>",),
+        ).fetchone()
+    finally:
+        conn.close()
+    assert row == ("alice", "- Scheduled summary", "gpt-5.5")