Merge pull request #5283 from pewdiepie-archdaemon/sync-main-into-dev-20260707

chore: sync tested main into dev

.env.example

@@ -169,6 +169,26 @@ SEARXNG_INSTANCE=http://localhost:8080
 # ODYSSEUS_STT_MAX_AUDIO_BYTES=26214400                  # speech-to-text audio (25 MB)
 # ODYSSEUS_ICS_MAX_BYTES=10485760                        # calendar .ics import (10 MB)
 
+# ============================================================
+# Host Docker access (explicit opt-in)
+# ============================================================
+# Default Docker Compose does not mount /var/run/docker.sock. Existing
+# Ollama, vLLM, and other OpenAI-compatible endpoints remain usable without it.
+#
+# Enable this only for intentional Cookbook/local Docker-daemon management.
+# Raw socket access is high-trust and can grant broad control over the host
+# Docker daemon. Set DOCKER_GID to the host docker group's numeric GID.
+# Put these values in .env, or export them before running docker compose.
+# COMPOSE_FILE=docker-compose.yml:docker/host-docker.yml
+# DOCKER_GID=963
+# docker/host-docker.yml sets this inside the container. Keep it paired
+# with the socket overlay; setting it alone is not sufficient.
+# ODYSSEUS_ENABLE_HOST_DOCKER=true
+#
+# Host Docker access can be combined with one GPU overlay:
+# COMPOSE_FILE=docker-compose.yml:docker/gpu.nvidia.yml:docker/host-docker.yml
+# COMPOSE_FILE=docker-compose.yml:docker/gpu.amd.yml:docker/host-docker.yml
+
 # ============================================================
 # GPU support (Docker Compose)
 # ============================================================

.github/scripts/focused_test_guidance.py

@@ -0,0 +1,124 @@
+#!/usr/bin/env python3
+"""Report focused pytest guidance for changed paths under tests/."""
+
+from __future__ import annotations
+
+import argparse
+import os
+import shlex
+import subprocess
+import sys
+from collections.abc import Iterable
+from pathlib import PurePosixPath
+
+
+def parse_paths(raw_paths: bytes) -> list[str]:
+    """Decode the NUL-delimited output of ``git diff --name-only -z``."""
+    return [os.fsdecode(path) for path in raw_paths.split(b"\0") if path]
+
+
+def changed_paths_from_merge_base(base_sha: str, head_sha: str) -> list[str]:
+    """Return changed ``tests/`` paths using GitHub PR three-dot semantics.
+
+    GitHub PR changed files are based on the merge base and the PR head, not a
+    direct endpoint diff between the current base branch tip and the PR head.
+    Using the direct endpoint diff can include files changed only on the base
+    branch when the PR branch is stale.
+    """
+    merge_base = subprocess.check_output(
+        ["git", "merge-base", base_sha, head_sha],
+        stderr=subprocess.DEVNULL,
+    ).strip()
+    raw_paths = subprocess.check_output(
+        [
+            "git",
+            "diff",
+            "--name-only",
+            "--diff-filter=ACMRT",
+            "-z",
+            os.fsdecode(merge_base),
+            head_sha,
+            "--",
+            "tests/",
+        ],
+    )
+    return parse_paths(raw_paths)
+
+
+def select_test_paths(paths: Iterable[str]) -> list[str]:
+    """Return unique, repository-relative paths contained by tests/."""
+    selected: set[str] = set()
+    for raw_path in paths:
+        path = PurePosixPath(raw_path)
+        if path.is_absolute() or ".." in path.parts:
+            continue
+        parts = tuple(part for part in path.parts if part != ".")
+        if len(parts) >= 2 and parts[0] == "tests":
+            selected.add(PurePosixPath(*parts).as_posix())
+    return sorted(selected)
+
+
+def is_pytest_file(path: str) -> bool:
+    """Return whether a changed path follows this repository's pytest naming."""
+    name = PurePosixPath(path).name
+    return name.endswith(".py") and (
+        name.startswith("test_") or name.endswith("_test.py")
+    )
+
+
+def pytest_command(paths: Iterable[str]) -> str:
+    """Build a copyable pytest command for changed runnable test files."""
+    command = ["python3", "-m", "pytest", "-q", *paths]
+    return shlex.join(command)
+
+
+def format_report(paths: Iterable[str]) -> str:
+    """Format focused guidance for CI logs and the workflow summary."""
+    changed_paths = select_test_paths(paths)
+    runnable_paths = [path for path in changed_paths if is_pytest_file(path)]
+    lines = ["## Focused test guidance (report-only)", ""]
+    if not changed_paths:
+        lines.append("No changed paths under `tests/`.")
+    else:
+        lines.extend(["Changed paths under `tests/`:", ""])
+        lines.extend(f"- `{path}`" for path in changed_paths)
+    lines.extend(["", "Suggested focused validation:", ""])
+    if runnable_paths:
+        lines.append(f"```sh\n{pytest_command(runnable_paths)}\n```")
+    else:
+        lines.append("No directly runnable pytest files changed.")
+    lines.extend(
+        [
+            "",
+            "This guidance does not infer tests from source changes. "
+            "Existing blocking CI remains the source of truth.",
+        ]
+    )
+    return "\n".join(lines)
+
+
+def _parse_args(argv: list[str]) -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        description="Report focused pytest guidance for changed tests/ paths.",
+    )
+    parser.add_argument("--base-sha", help="Pull request base commit SHA.")
+    parser.add_argument("--head-sha", help="Pull request head commit SHA.")
+    return parser.parse_args(argv)
+
+
+def main(argv: list[str] | None = None) -> int:
+    args = _parse_args(sys.argv[1:] if argv is None else argv)
+    if bool(args.base_sha) != bool(args.head_sha):
+        raise SystemExit("--base-sha and --head-sha must be provided together")
+
+    if args.base_sha and args.head_sha:
+        paths = changed_paths_from_merge_base(args.base_sha, args.head_sha)
+    else:
+        paths = parse_paths(sys.stdin.buffer.read())
+
+    print(format_report(paths))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

.github/workflows/ci.yml

@@ -15,6 +15,60 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
+  focused-test-guidance:
+    name: Focused test guidance (report-only)
+    if: github.event_name == 'pull_request'
+    runs-on: ubuntu-latest
+    continue-on-error: true
+    steps:
+      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0  # v7.0.0
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+      - name: Report changed test paths
+        env:
+          BASE_SHA: ${{ github.event.pull_request.base.sha }}
+          HEAD_SHA: ${{ github.event.pull_request.head.sha }}
+        run: |
+          report_file="$RUNNER_TEMP/focused-test-guidance.md"
+          publish_report() {
+            cat "$report_file"
+            if [ -n "${GITHUB_STEP_SUMMARY:-}" ]; then
+              cat "$report_file" >> "$GITHUB_STEP_SUMMARY" || true
+            fi
+            return 0
+          }
+
+          report_unavailable() {
+            {
+              printf '%s\n\n' '## Focused test guidance unavailable (report-only)'
+              printf '%s\n\n' "$1"
+              printf '%s\n' 'Existing blocking CI remains the source of truth.'
+            } > "$report_file"
+            publish_report
+            exit 0
+          }
+
+          if [ -z "$BASE_SHA" ] || [ -z "$HEAD_SHA" ]; then
+            report_unavailable "Pull request base/head metadata is missing."
+          fi
+
+          if ! git cat-file -e "${BASE_SHA}^{commit}" 2>/dev/null; then
+            report_unavailable "The pull request base commit is unavailable locally."
+          fi
+
+          if ! git cat-file -e "${HEAD_SHA}^{commit}" 2>/dev/null; then
+            report_unavailable "The pull request head commit is unavailable locally."
+          fi
+
+          if ! python3 .github/scripts/focused_test_guidance.py \
+            --base-sha "$BASE_SHA" \
+            --head-sha "$HEAD_SHA" > "$report_file"; then
+            report_unavailable "The focused test guidance helper could not produce a report."
+          fi
+
+          publish_report
+
   python-syntax:
     name: Python syntax (compileall)
     runs-on: ubuntu-latest

ACKNOWLEDGMENTS.md

@@ -86,6 +86,7 @@ Bundled in `static/fonts/`:
 | [Fira Code](https://github.com/tonsky/FiraCode) | SIL Open Font License 1.1 | Nikita Prokopov & contributors |
 | [Inter](https://github.com/rsms/inter) | SIL Open Font License 1.1 | Rasmus Andersson |
 | [GohuFont](https://font.gohu.org/) (`fonts/custom/GohuFont.ttf`) | WTFPL | Hugo Chargois |
+| [OpenDyslexic](https://opendyslexic.org/) (`fonts/OpenDyslexic-{Regular,Bold}.woff2`) | SIL Open Font License 1.1 ([`licenses/OpenDyslexic-OFL.txt`](licenses/OpenDyslexic-OFL.txt)) | Abbie Gonzalez |
 
 ## Python dependencies
 

Dockerfile

@@ -1,3 +1,14 @@
+# ---- builder: patch + build wheels for Real-ESRGAN's broken-on-3.14 deps ----
+# basicsr/gfpgan/facexlib read their version via exec()+locals()['__version__'],
+# which raises KeyError on Python 3.13+ (PEP 667). Build patched wheels here so
+# the final image / Cookbook never has to compile the broken sdists. See
+# docker/build-realesrgan-wheels.sh for the full rationale.
+FROM python:3.14-slim AS realesrgan-wheels
+RUN apt-get update && apt-get install -y --no-install-recommends curl \
+    && rm -rf /var/lib/apt/lists/*
+COPY docker/build-realesrgan-wheels.sh /usr/local/bin/build-realesrgan-wheels.sh
+RUN bash /usr/local/bin/build-realesrgan-wheels.sh /wheels
+
 FROM python:3.14-slim
 
 # System deps. tmux is required by Cookbook for background downloads/serves.
@@ -18,8 +29,44 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     tmux \
     openssh-client \
     gosu \
+    libgl1 \
+    libglib2.0-0t64 \
+    libxcb1 \
+    libmagic1 \
     && rm -rf /var/lib/apt/lists/*
 
+# libgl1/libglib2.0-0t64/libxcb1 are runtime shared libs (libGL.so.1,
+# libglib-2.0/libgthread, libxcb.so.1) that opencv-python (cv2) loads. The
+# slim base omits them, so the Cookbook "install realesrgan" path imports cv2
+# and dies with `libxcb.so.1: cannot open shared object file` despite a clean
+# pip install. Using full opencv-python (not -headless) because basicsr/gfpgan/
+# facexlib/realesrgan all depend on the `opencv-python` distribution by name.
+#
+# libmagic1 is the shared lib (libmagic.so.1) that python-magic dlopens for
+# content-based MIME sniffing in src/upload_handler.py. We install both here
+# (libmagic1 + the python-magic wrapper, below) rather than in requirements.txt
+# because python-magic resolves libmagic at import time: where the lib is
+# absent the import can block or raise, so keeping it image-only avoids
+# regressing pip/venv installs on hosts without libmagic. Debian always has the
+# lib here, so the import is instant and detection actually works.
+
+# Docker CLI (client only — daemon stays on the host via the
+# /var/run/docker.sock mount). The Debian `docker.io` package ships
+# dockerd but not the client binary on slim, so grab the static client
+# tarball from download.docker.com instead.
+ARG DOCKER_CLI_VERSION=27.5.1
+RUN ARCH="$(dpkg --print-architecture)" \
+    && case "$ARCH" in \
+         amd64) DARCH=x86_64 ;; \
+         arm64) DARCH=aarch64 ;; \
+         *) echo "unsupported arch $ARCH"; exit 1 ;; \
+       esac \
+    && curl -fsSL "https://download.docker.com/linux/static/stable/${DARCH}/docker-${DOCKER_CLI_VERSION}.tgz" \
+       -o /tmp/docker.tgz \
+    && tar -xzf /tmp/docker.tgz -C /tmp \
+    && install -m 0755 /tmp/docker/docker /usr/local/bin/docker \
+    && rm -rf /tmp/docker /tmp/docker.tgz
+
 WORKDIR /app
 
 # Install Python deps first (layer cache). Optional extras (PyMuPDF AGPL, etc.)
@@ -29,6 +76,20 @@ COPY requirements.txt requirements-optional.txt ./
 RUN pip install --no-cache-dir -r requirements.txt \
     && if [ "$INSTALL_OPTIONAL" = "true" ]; then pip install --no-cache-dir -r requirements-optional.txt; fi
 
+# python-magic powers content-based MIME sniffing in src/upload_handler.py.
+# Image-only (not in requirements.txt) because it needs the libmagic1 system
+# lib installed above; see the apt note near the top of this stage.
+RUN pip install --no-cache-dir python-magic==0.4.27
+
+# Pre-install the patched basicsr/gfpgan/facexlib wheels built in the
+# realesrgan-wheels stage (--no-deps keeps the image lean — torch & friends are
+# pulled only when realesrgan is actually installed). With these dists already
+# satisfied, the Cookbook's plain `pip install realesrgan` resolves them from
+# wheels instead of rebuilding the sdists that fail on Python 3.14.
+COPY --from=realesrgan-wheels /wheels/ /tmp/odysseus-wheels/
+RUN pip install --no-cache-dir --no-deps /tmp/odysseus-wheels/*.whl \
+    && rm -rf /tmp/odysseus-wheels
+
 # Copy app code
 COPY . .
 

README.md

@@ -1,5 +1,5 @@
 <p align="center">
-  <img src="docs/odysseus-wordmark.png" alt="Odysseus" width="280">
+  <img src="docs/odysseus-wordmark.png" alt="Odysseus" width="238">
 </p>
 
 <p align="center">
@@ -18,7 +18,7 @@
 </p>
 
 <p align="center">
-  <img src="docs/odysseus.jpg" alt="Odysseus interface">
+  <img src="docs/odysseus-browser.jpg" alt="Odysseus interface">
 </p>
 
 ---

app.py

@@ -2,6 +2,17 @@
 import mimetypes
 import os
 import sys
+import asyncio
+import time
+
+# On Windows, asyncio.create_subprocess_exec/shell require the ProactorEventLoop.
+# When started via `python -m uvicorn` from a terminal, uvicorn sets this
+# automatically. But the VS Code debugger (and other non-uvicorn entrypoints)
+# use the default SelectorEventLoop, which raises NotImplementedError on any
+# subprocess call. Force ProactorEventLoop here so the right loop is always
+# used, regardless of how the process is launched.
+if sys.platform == "win32":
+    asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
 
 
 def register_static_mime_types() -> None:
@@ -44,7 +55,7 @@ from typing import Dict
 
 from contextlib import asynccontextmanager
 from fastapi import FastAPI, Request, HTTPException
-from fastapi.responses import JSONResponse, FileResponse, HTMLResponse
+from fastapi.responses import JSONResponse, FileResponse
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.staticfiles import StaticFiles
 from starlette.middleware.base import BaseHTTPMiddleware
@@ -65,7 +76,7 @@ from core.exceptions import (
 
 import bcrypt as _bcrypt
 
-from src.app_helpers import abs_join
+from src.app_helpers import abs_join, serve_html_with_nonce
 from src.generated_images import GENERATED_IMAGE_HEADERS, resolve_generated_image_path
 from starlette.responses import RedirectResponse
 
@@ -187,7 +198,50 @@ class _RequestTimeoutMiddleware(_BaseHTTPMiddleware):
             )
 
 
+class _InteractiveActivityMiddleware(_BaseHTTPMiddleware):
+    async def dispatch(self, request, call_next):
+        from src.interactive_gate import should_track_interactive_request, track_interactive_request
+
+        path = request.url.path or ""
+        if not should_track_interactive_request(path, request.method):
+            return await call_next(request)
+        async def _stop_background():
+            try:
+                await task_scheduler.stop_background_tasks_for_foreground(reason=f"foreground request {request.method} {path}")
+            except Exception:
+                logging.getLogger("app.foreground_gate").debug("foreground task stop failed", exc_info=True)
+        asyncio.create_task(_stop_background())
+        async with track_interactive_request(path, request.method):
+            return await call_next(request)
+
+
+class _SlowRequestLogMiddleware(_BaseHTTPMiddleware):
+    async def dispatch(self, request, call_next):
+        start = time.perf_counter()
+        status = 500
+        try:
+            response = await call_next(request)
+            status = getattr(response, "status_code", 0) or 0
+            return response
+        finally:
+            elapsed = time.perf_counter() - start
+            try:
+                threshold = float(os.getenv("ODYSSEUS_SLOW_REQUEST_LOG_SECONDS", "0.75") or "0.75")
+            except Exception:
+                threshold = 0.75
+            if elapsed >= threshold:
+                logging.getLogger("app.slow_request").warning(
+                    "slow_request method=%s path=%s status=%s elapsed=%.3fs",
+                    request.method,
+                    request.url.path,
+                    status,
+                    elapsed,
+                )
+
+
 app.add_middleware(_RequestTimeoutMiddleware)
+app.add_middleware(_InteractiveActivityMiddleware)
+app.add_middleware(_SlowRequestLogMiddleware)
 
 # ========= AUTH =========
 from routes.auth_routes import setup_auth_routes, SESSION_COOKIE
@@ -573,6 +627,20 @@ webhook_manager = WebhookManager(api_key_manager=api_key_manager)
 auth_router = setup_auth_routes(auth_manager)
 app.include_router(auth_router)
 
+
+@app.post("/api/activity/heartbeat")
+async def activity_heartbeat():
+    from src.interactive_gate import mark_browser_activity
+    await mark_browser_activity()
+    async def _stop_background():
+        try:
+            await task_scheduler.stop_background_tasks_for_foreground(reason="browser heartbeat")
+        except Exception:
+            logging.getLogger("app.foreground_gate").debug("heartbeat task stop failed", exc_info=True)
+    asyncio.create_task(_stop_background())
+    return {"ok": True}
+
+
 # Uploads
 from routes.upload_routes import setup_upload_routes
 upload_router, upload_cleanup_func = setup_upload_routes(upload_handler)
@@ -594,7 +662,7 @@ from routes.admin_wipe_routes import setup_admin_wipe_routes
 app.include_router(setup_admin_wipe_routes(session_manager))
 
 # Memory
-from routes.memory_routes import setup_memory_routes
+from routes.memory.memory_routes import setup_memory_routes
 memory_router = setup_memory_routes(memory_manager, session_manager, memory_vector=memory_vector)
 app.include_router(memory_router)
 from routes.skills_routes import setup_skills_routes
@@ -611,11 +679,11 @@ app.include_router(setup_chat_routes(
 ))
 
 # Research (background deep-research tasks)
-from routes.research_routes import setup_research_routes
+from routes.research.research_routes import setup_research_routes
 app.include_router(setup_research_routes(research_handler, session_manager=session_manager))
 
 # History
-from routes.history_routes import setup_history_routes
+from routes.history.history_routes import setup_history_routes
 app.include_router(setup_history_routes(session_manager))
 
 # Search
@@ -675,7 +743,7 @@ from routes.signature_routes import setup_signature_routes
 app.include_router(setup_signature_routes())
 
 # Gallery (image library)
-from routes.gallery_routes import setup_gallery_routes
+from routes.gallery.gallery_routes import setup_gallery_routes
 app.include_router(setup_gallery_routes())
 
 # Persisted image-editor drafts (server-backed projects)
@@ -783,7 +851,7 @@ from routes.vault_routes import setup_vault_routes
 app.include_router(setup_vault_routes())
 
 # Contacts (CardDAV)
-from routes.contacts_routes import setup_contacts_routes
+from routes.contacts.contacts_routes import setup_contacts_routes
 app.include_router(setup_contacts_routes())
 
 from companion import setup_companion_routes
@@ -791,23 +859,17 @@ app.include_router(setup_companion_routes())
 
 # ========= ROUTES (kept in app.py) =========
 
-def _serve_html_with_nonce(request: Request, file_path: str) -> HTMLResponse:
-    """Read an HTML file and inject the CSP nonce into inline <script> tags."""
-    with open(file_path, "r", encoding="utf-8") as f:
-        html = f.read()
-    nonce = getattr(request.state, "csp_nonce", "")
-    html = html.replace("{{CSP_NONCE}}", nonce)
-    return HTMLResponse(html)
-
 @app.get("/")
 async def serve_index(request: Request):
     static_path = abs_join(BASE_DIR, "static/index.html")
     if os.path.exists(static_path):
-        return _serve_html_with_nonce(request, static_path)
-    root_path = abs_join(BASE_DIR, "index.html")
-    if os.path.exists(root_path):
-        return _serve_html_with_nonce(request, root_path)
-    raise HTTPException(404, "index.html not found")
+        return serve_html_with_nonce(request, static_path)
+    # No static bundle — fall back to a root-level index.html if one is shipped.
+    # If neither exists, serve_html_with_nonce logs it and returns a generic 500:
+    # a missing index.html is a broken deployment (server fault), not a client
+    # "not found". This keeps the app-shell route consistent with the other
+    # bundled-template routes instead of mislabelling the fault as a 404.
+    return serve_html_with_nonce(request, abs_join(BASE_DIR, "index.html"))
 
 @app.get("/notes")
 async def serve_notes(request: Request):
@@ -848,13 +910,13 @@ async def serve_library(request: Request):
 @app.get("/backgrounds")
 async def serve_backgrounds(request: Request):
     """Sandbox page for prototyping background effects. No auth required."""
-    return _serve_html_with_nonce(request, abs_join(BASE_DIR, "static/backgrounds.html"))
+    return serve_html_with_nonce(request, abs_join(BASE_DIR, "static/backgrounds.html"))
 
 @app.get("/login")
 async def serve_login(request: Request):
     if not AUTH_ENABLED:
         return RedirectResponse(url="/", status_code=302)
-    return _serve_html_with_nonce(request, abs_join(BASE_DIR, "static/login.html"))
+    return serve_html_with_nonce(request, abs_join(BASE_DIR, "static/login.html"))
 
 @app.get("/api/version")
 async def get_version():
@@ -865,6 +927,34 @@ async def get_version():
 async def health_check() -> Dict[str, str]:
     return {"status": "healthy", "timestamp": datetime.now(timezone.utc).isoformat()}
 
+@app.post("/api/client-perf")
+async def client_perf(request: Request):
+    """Low-volume frontend timing reports for stalls that happen before SSE logs."""
+    try:
+        data = await request.json()
+    except Exception:
+        data = {}
+    try:
+        kind = str(data.get("type") or "client").replace("\n", " ")[:80]
+        total_ms = float(data.get("total_ms") or 0)
+        stages = data.get("stages") if isinstance(data.get("stages"), list) else []
+        stage_txt = " ".join(
+            f"{str(s.get('name') or '')[:40]}={float(s.get('delta_ms') or 0):.0f}ms"
+            for s in stages[:20]
+            if isinstance(s, dict)
+        )
+        extra = str(data.get("extra") or "").replace("\n", " ")[:200]
+        logging.getLogger("app.client_perf").warning(
+            "client_perf type=%s total=%.0fms %s%s",
+            kind,
+            total_ms,
+            stage_txt,
+            f" extra={extra}" if extra else "",
+        )
+    except Exception:
+        logging.getLogger("app.client_perf").debug("client_perf log failed", exc_info=True)
+    return {"ok": True}
+
 @app.get("/api/ready")
 async def readiness_check() -> JSONResponse:
     """Readiness / integrity self-check — DB, data dir, local-first storage.
@@ -961,57 +1051,59 @@ async def _startup_event():
 
     _startup_tasks.append(asyncio.create_task(_startup_mcp_connections()))
 
-    # Pre-warm the RAG tool index off the request path. Loading the local
-    # embedding model + opening ChromaDB + indexing the built-in tools is a
-    # one-time ~1-3s cost that otherwise lands on the user's FIRST message
-    # (showing up as a big `tool_selection` time). Doing it here makes the
-    # first turn as fast as subsequent ones (warm embed ≈ a few ms).
-    async def _warmup_tool_index():
-        try:
-            from src.tool_index import get_tool_index
-            idx = await asyncio.to_thread(get_tool_index)
-            if idx:
-                await asyncio.to_thread(idx.get_tools_for_query, "warmup", 8)
-                logger.info("[startup] Tool index pre-warmed")
-        except Exception as e:
-            logger.warning(f"Tool index warmup failed (non-critical): {type(e).__name__}: {e}")
-
-    _startup_tasks.append(asyncio.create_task(_warmup_tool_index()))
-    # Warmup: ping all known LLM endpoints to prime connections
-    async def _warmup_endpoints():
-        try:
-            import httpx
-            # model_discovery has no get_endpoints(); that call raised
-            # AttributeError every run and silently disabled warmup/keepalive.
-            # Resolve the /models probe URLs via the real discovery API, off the
-            # event loop since discovery does a blocking port scan.
-            urls = (
-                await asyncio.to_thread(model_discovery.warmup_ping_urls)
-                if model_discovery else []
-            )
-            for url in urls:
-                try:
-                    async with httpx.AsyncClient(timeout=5.0) as client:
-                        await client.get(url)
-                    logger.info(f"Warmup ping OK: {url}")
-                except Exception as e:
-                    logger.debug(f"Warmup ping failed for endpoint: {e}")
-        except Exception as e:
-            logger.debug(f"Warmup ping skipped: {e}")
-
-    _startup_tasks.append(asyncio.create_task(_warmup_endpoints()))
-
-    # Keep-alive: ping endpoints every 60 seconds to prevent cold starts
-    async def _keepalive_loop():
-        while True:
+    # Startup warmups are opt-in. They make later requests a little warmer, but
+    # they also compete with the first seconds of real UI use on slow or busy
+    # machines. Default to clear/idle startup and let requests warm what they use.
+    _startup_warmups_enabled = str(os.getenv("ODYSSEUS_STARTUP_WARMUPS", "")).lower() in {"1", "true", "yes", "on"}
+    if _startup_warmups_enabled:
+        async def _warmup_tool_index():
             try:
-                await asyncio.sleep(60)
-                await _warmup_endpoints()
+                from src.tool_index import get_tool_index
+                idx = await asyncio.to_thread(get_tool_index)
+                if idx:
+                    await asyncio.to_thread(idx.get_tools_for_query, "warmup", 8)
+                    logger.info("[startup] Tool index pre-warmed")
             except Exception as e:
-                logger.warning(f"Keepalive loop error: {e}")
-                await asyncio.sleep(300)  # Back off on error
+                logger.warning(f"Tool index warmup failed (non-critical): {type(e).__name__}: {e}")
 
-    _startup_tasks.append(asyncio.create_task(_keepalive_loop()))
+        _startup_tasks.append(asyncio.create_task(_warmup_tool_index()))
+
+        async def _warmup_endpoints():
+            try:
+                import httpx
+                urls = (
+                    await asyncio.to_thread(model_discovery.warmup_ping_urls)
+                    if model_discovery else []
+                )
+                for url in urls:
+                    try:
+                        async with httpx.AsyncClient(timeout=5.0) as client:
+                            await client.get(url)
+                        logger.info(f"Warmup ping OK: {url}")
+                    except Exception as e:
+                        logger.debug(f"Warmup ping failed for endpoint: {e}")
+            except Exception as e:
+                logger.debug(f"Warmup ping skipped: {e}")
+
+        _startup_tasks.append(asyncio.create_task(_warmup_endpoints()))
+    else:
+        logger.info("Startup warmups disabled (set ODYSSEUS_STARTUP_WARMUPS=1 to enable)")
+
+    # Keep-alive is opt-in. The ping path performs model discovery, and when
+    # stale LAN endpoints are configured it can add periodic backend pressure
+    # that delays unrelated UI requests such as Notes/Documents.
+    _keepalive_enabled = str(os.getenv("ODYSSEUS_MODEL_KEEPALIVE", "")).lower() in {"1", "true", "yes", "on"}
+    if _keepalive_enabled:
+        async def _keepalive_loop():
+            while True:
+                try:
+                    await asyncio.sleep(60)
+                    await _warmup_endpoints()
+                except Exception as e:
+                    logger.warning(f"Keepalive loop error: {e}")
+                    await asyncio.sleep(300)  # Back off on error
+
+        _startup_tasks.append(asyncio.create_task(_keepalive_loop()))
 
     async def _ensure_default_tasks():
         # Create/reconcile default automation tasks + personal assistant for every user.

core/atomic_io.py

@@ -34,6 +34,8 @@ def atomic_write_json(path: str, data: Any, *, indent: Optional[int] = None) ->
 
 
 def atomic_write_text(path: str, text: str) -> None:
+    if not isinstance(text, str):
+        raise TypeError("atomic_write_text expects a string")
     os.makedirs(os.path.dirname(path) or ".", exist_ok=True)
     tmp = f"{path}.tmp.{os.getpid()}"
     with open(tmp, "w", encoding="utf-8") as f:

core/auth.py

@@ -176,16 +176,17 @@ class AuthManager:
                 )
                 old_user = "admin"
             old_hash = self._config["password_hash"]
-            self._config = {
-                "users": {
-                    old_user: {
-                        "password_hash": old_hash,
-                        "created": time.time(),
-                        "is_admin": True,
+            with self._config_lock:
+                self._config = {
+                    "users": {
+                        old_user: {
+                            "password_hash": old_hash,
+                            "created": time.time(),
+                            "is_admin": True,
+                        }
                     }
                 }
-            }
-            self._save()
+                self._save()
             logger.info(f"Migrated single-user auth to multi-user (admin: {old_user})")
 
     def _drop_reserved_loaded_users(self):
@@ -204,8 +205,9 @@ class AuthManager:
                 continue
             normalized[key] = data
         if removed or normalized != users:
-            self._config["users"] = normalized
-            self._save()
+            with self._config_lock:
+                self._config["users"] = normalized
+                self._save()
         if removed:
             logger.warning(
                 "Removed reserved username(s) from auth config: %s",

core/database.py

@@ -276,6 +276,7 @@ class GalleryImage(TimestampMixin, Base):
     id         = Column(String, primary_key=True, index=True)
     filename   = Column(String, nullable=False, unique=True)
     prompt     = Column(Text, nullable=False, default="")
+    caption    = Column(Text, nullable=True, default="")
     model      = Column(String, nullable=True)
     size       = Column(String, nullable=True)
     quality    = Column(String, nullable=True)
@@ -1182,6 +1183,29 @@ def _migrate_add_multiuser_owner_columns():
     _migrate_add_owner_to_table("documents", "ix_documents_owner")
 
 
+def _migrate_add_gallery_caption_column():
+    """Add OCR/vision caption storage for gallery images."""
+    import sqlite3
+    db_path = DATABASE_URL.replace("sqlite:///", "")
+    if not os.path.exists(db_path):
+        return
+    conn = None
+    try:
+        conn = sqlite3.connect(db_path)
+        columns = [row[1] for row in conn.execute("PRAGMA table_info(gallery_images)").fetchall()]
+        if columns and "caption" not in columns:
+            conn.execute("ALTER TABLE gallery_images ADD COLUMN caption TEXT DEFAULT ''")
+            conn.commit()
+            logging.getLogger(__name__).info("Migrated: added caption column to gallery_images")
+    except Exception as e:
+        logging.getLogger(__name__).warning(f"Migration gallery caption column failed: {e}")
+    finally:
+        try:
+            conn.close()
+        except Exception:
+            pass
+
+
 def _migrate_add_api_token_scopes_column():
     """Add API token scopes for existing installs.
 
@@ -1670,6 +1694,7 @@ class CalendarEvent(TimestampMixin, Base):
     # `Z`-suffix on serialization so the frontend interprets correctly.
     is_utc      = Column(Boolean, default=False, nullable=False)
     rrule       = Column(String, default="")
+    recurrence_exdates = Column(Text, default="")  # JSON list of skipped occurrence starts
     color       = Column(String, nullable=True)  # per-event color override
     status      = Column(String, default="confirmed")  # confirmed, cancelled
     importance  = Column(String, default="normal")    # low | normal | high | critical
@@ -1811,6 +1836,7 @@ def init_db():
     _migrate_add_token_columns()
     _migrate_add_mode_column()
     _migrate_add_multiuser_owner_columns()
+    _migrate_add_gallery_caption_column()
     _migrate_add_api_token_scopes_column()
     _migrate_backfill_document_owner_from_session()
     _migrate_assign_legacy_owner()
@@ -1833,6 +1859,7 @@ def init_db():
     _migrate_add_calendar_origin()
     _migrate_add_calendar_account_id()
     _migrate_add_caldav_sync_columns()
+    _migrate_add_calendar_recurrence_exdates()
     _migrate_chat_messages_fts()
     _migrate_encrypt_email_passwords()
     _migrate_encrypt_signatures()
@@ -2184,6 +2211,28 @@ def _migrate_add_calendar_metadata():
         except Exception:
             pass
 
+
+def _migrate_add_calendar_recurrence_exdates():
+    """Add skipped recurrence occurrences for deleting one instance of a series."""
+    import sqlite3
+    db_path = DATABASE_URL.replace("sqlite:///", "")
+    if not os.path.exists(db_path):
+        return
+    conn = None
+    try:
+        conn = sqlite3.connect(db_path)
+        columns = [row[1] for row in conn.execute("PRAGMA table_info(calendar_events)").fetchall()]
+        if columns and "recurrence_exdates" not in columns:
+            conn.execute("ALTER TABLE calendar_events ADD COLUMN recurrence_exdates TEXT DEFAULT ''")
+        conn.commit()
+    except Exception as e:
+        logging.getLogger(__name__).warning(f"calendar_events recurrence_exdates migration failed: {e}")
+    finally:
+        try:
+            conn.close()
+        except Exception:
+            pass
+
 def get_db():
     """
     Dependency to get a database session.

core/exceptions.py

@@ -1,4 +1,4 @@
-# src/exceptions.py
+# core/exceptions.py
 """Custom exceptions for the application."""
 
 class SessionNotFoundError(Exception):

core/log_safety.py

@@ -0,0 +1,27 @@
+"""Helpers for keeping sensitive data out of logs.
+
+Endpoint URLs configured by admins can embed credentials in the userinfo
+(``https://user:pass@host``) or query string (``?api_key=...``). Logging them
+raw leaks those secrets, so route/diagnostic logs run URLs through
+``redact_url`` first. Reconstructing the URL without userinfo/query/fragment
+also doubles as a sanitizer barrier for CodeQL's clear-text-logging query.
+"""
+
+from urllib.parse import urlparse, urlunparse
+
+
+def redact_url(url: str) -> str:
+    """Return a URL safe for logs by removing userinfo and query/fragment.
+
+    Keeps scheme, host, port and path so logs stay useful for debugging.
+    """
+    try:
+        parsed = urlparse(url or "")
+        host = parsed.hostname or ""
+        if ":" in host:  # IPv6 literal — re-bracket so host:port stays unambiguous
+            host = f"[{host}]"
+        if parsed.port:
+            host = f"{host}:{parsed.port}"
+        return urlunparse((parsed.scheme, host, parsed.path, "", "", ""))
+    except Exception:
+        return "<endpoint>"

core/middleware.py

@@ -117,7 +117,7 @@ class SecurityHeadersMiddleware(BaseHTTPMiddleware):
                 f"script-src 'self' 'nonce-{nonce}' https://cdn.jsdelivr.net; "
                 "style-src 'self' 'unsafe-inline' https://cdn.jsdelivr.net; "
                 "font-src 'self' https://cdn.jsdelivr.net; "
-                "img-src 'self' data: blob:; "
+                "img-src 'self' data: blob: https:; "
                 "media-src 'self' blob:; "
                 "connect-src 'self'; "
                 "frame-src 'self'; "

core/session_manager.py

@@ -40,7 +40,18 @@ def _parse_msg_content(raw):
     if isinstance(raw, str) and raw.startswith('[{') and '"type"' in raw:
         try:
             parsed = json.loads(raw)
-            if isinstance(parsed, list) and all(isinstance(p, dict) for p in parsed):
+            # Only treat as serialized multimodal content when EVERY element is
+            # a dict whose "type" is a recognized content-block kind. Otherwise a
+            # plain text message that merely *looks* like a JSON array of objects
+            # (e.g. a user pasting an API schema/sample with a "type" field) was
+            # silently parsed back into a list, destroying the original string.
+            _BLOCK_TYPES = {
+                "text", "image", "image_url", "audio", "input_audio",
+                "input_image", "document", "file",
+            }
+            if (isinstance(parsed, list) and parsed
+                    and all(isinstance(p, dict) and p.get("type") in _BLOCK_TYPES
+                            for p in parsed)):
                 return parsed
         except (json.JSONDecodeError, ValueError):
             pass

docker/build-realesrgan-wheels.sh

@@ -0,0 +1,70 @@
+#!/usr/bin/env bash
+# Build patched wheels for Real-ESRGAN's unmaintained dependencies.
+#
+# basicsr / gfpgan / facexlib (xinntao, last released 2022) read their version
+# in setup.py with:
+#
+#     exec(compile(f.read(), version_file, 'exec'))
+#     return locals()['__version__']
+#
+# Python 3.13+ implements PEP 667: locals() inside a function returns an
+# independent snapshot that exec() can no longer mutate, so the read raises
+# `KeyError: '__version__'` and the sdist build fails. That is why the Cookbook
+# "install realesrgan" button dies on the python:3.14 image. The packages have
+# no fixed release, so we patch get_version() to exec into an explicit namespace
+# dict (works on every Python) and build wheels from the patched source.
+#
+# Usage: build-realesrgan-wheels.sh [OUTPUT_DIR]   (default: /wheels)
+set -euo pipefail
+
+OUT="${1:-/wheels}"
+mkdir -p "$OUT"
+
+work="$(mktemp -d)"
+trap 'rm -rf "$work"' EXIT
+cd "$work"
+
+# Pinned to the versions Real-ESRGAN 0.3.0 resolves to.
+SPECS="basicsr==1.4.2 gfpgan==1.3.8 facexlib==0.3.0"
+
+for spec in $SPECS; do
+  name="${spec%%==*}"
+  ver="${spec##*==}"
+  # pip download builds metadata (and trips the same bug), so fetch the raw
+  # sdist URL from the PyPI JSON API instead.
+  url="$(python - "$name" "$ver" <<'PY'
+import json, sys, urllib.request
+name, ver = sys.argv[1], sys.argv[2]
+data = json.load(urllib.request.urlopen(f"https://pypi.org/pypi/{name}/{ver}/json"))
+for f in data["urls"]:
+    if f["packagetype"] == "sdist":
+        print(f["url"]); break
+else:
+    sys.exit(f"no sdist found for {name}=={ver}")
+PY
+)"
+  echo ">> fetching ${name} ${ver}: ${url}"
+  curl -fsSL "$url" -o "${name}.tar.gz"
+  tar xzf "${name}.tar.gz"
+done
+
+echo ">> patching get_version()"
+python - <<'PY'
+import pathlib
+old_exec = "exec(compile(f.read(), version_file, 'exec'))"
+new_exec = "_ver_ns = {}\n        exec(compile(f.read(), version_file, 'exec'), _ver_ns)"
+old_ret = "return locals()['__version__']"
+new_ret = "return _ver_ns['__version__']"
+patched = 0
+for setup in pathlib.Path(".").glob("*/setup.py"):
+    s = setup.read_text()
+    if old_exec in s and old_ret in s:
+        setup.write_text(s.replace(old_exec, new_exec).replace(old_ret, new_ret))
+        print("   patched", setup)
+        patched += 1
+assert patched == 3, f"expected to patch 3 setup.py files, patched {patched}"
+PY
+
+echo ">> building wheels into ${OUT}"
+pip wheel --no-deps -w "$OUT" ./basicsr-* ./gfpgan-* ./facexlib-*
+ls -l "$OUT"

docker/entrypoint.sh

@@ -26,6 +26,27 @@ if ! getent passwd "$PUID" >/dev/null 2>&1; then
     useradd -u "$PUID" -g "$PGID" -M -s /bin/sh -d /app odysseus
 fi
 
+ODY_USER="$(getent passwd "$PUID" | cut -d: -f1)"
+[ -z "$ODY_USER" ] && ODY_USER=odysseus
+
+# Docker-socket group plumbing for the explicit host-Docker overlay. When
+# opted in, the socket is owned by root:<host docker gid>. Add the app user
+# to that group and later call gosu by username so supplementary groups are
+# retained.
+DOCKER_SOCK="${DOCKER_SOCK:-/var/run/docker.sock}"
+if [ "${ODYSSEUS_ENABLE_HOST_DOCKER:-}" = "true" ] && [ -S "$DOCKER_SOCK" ]; then
+    SOCK_GID="$(stat -c '%g' "$DOCKER_SOCK" 2>/dev/null || echo '')"
+    if [ -n "$SOCK_GID" ] && [ "$SOCK_GID" != "0" ]; then
+        if ! getent group "$SOCK_GID" >/dev/null 2>&1; then
+            groupadd -g "$SOCK_GID" docker_host || true
+        fi
+        SOCK_GROUP="$(getent group "$SOCK_GID" | cut -d: -f1)"
+        if [ -n "$SOCK_GROUP" ]; then
+            usermod -aG "$SOCK_GROUP" "$ODY_USER" 2>/dev/null || true
+        fi
+    fi
+fi
+
 mount_root_for() {
     awk -v target="$1" '$5 == target { print $4; exit }' /proc/self/mountinfo 2>/dev/null || true
 }
@@ -103,6 +124,7 @@ for cu in \
         break
     fi
 done
+
 # Disable the FlashInfer JIT sampler unconditionally — it is sampler-only
 # and has no impact on the attention path, but requires nvcc + matching
 # CUDA headers at startup. Without this, vLLM crashes with "Could not find
@@ -116,9 +138,9 @@ export PATH="/app/.local/bin:$PATH"
 # Run first-time setup as the app user so data/ files get the right ownership.
 # setup.py is idempotent — skips auth.json / .env if they already exist.
 # || true so a setup failure never prevents the container from starting.
-"$GOSU_BIN" "$PUID:$PGID" "$PYTHON_BIN" /app/setup.py || true
+"$GOSU_BIN" "$ODY_USER" "$PYTHON_BIN" /app/setup.py || true
 
 # Drop root and run the actual app. `gosu` is preferred over `su` /
 # `sudo` because it cleans up the process tree (no extra shell layer)
 # so signals (SIGTERM from `docker stop`) reach uvicorn directly.
-exec "$GOSU_BIN" "$PUID:$PGID" "$@"
+exec "$GOSU_BIN" "$ODY_USER" "$@"

docker/host-docker.yml

@@ -0,0 +1,12 @@
+# High-trust host Docker access. Enable only when local Docker-daemon
+# management from Cookbook is required and you accept that raw socket access
+# grants broad control over the host Docker daemon.
+#   COMPOSE_FILE=docker-compose.yml:docker/host-docker.yml
+#   DOCKER_GID=<numeric host Docker group id>
+services:
+  odysseus:
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock
+    group_add: ["${DOCKER_GID:-963}"]
+    environment:
+      - ODYSSEUS_ENABLE_HOST_DOCKER=true

docs/setup.md

@@ -15,7 +15,7 @@ On first setup, Odysseus creates an admin account (`admin` unless
 For Docker installs, the same line is in `docker compose logs odysseus`.
 Use that for the first login, then change it in **Settings**.
 
-Contributing? See [CONTRIBUTING.md](CONTRIBUTING.md) for setup, testing, and
+Contributing? See [CONTRIBUTING.md](../CONTRIBUTING.md) for setup, testing, and
 pull request guidelines.
 
 ### Docker (recommended)
@@ -99,6 +99,33 @@ Odysseus SSH key and add the public key to the remote server's
 ssh-copy-id -i data/ssh/id_ed25519.pub user@server
 ```
 
+**Host Docker access (explicit opt-in).** Default Docker Compose intentionally
+does not mount `/var/run/docker.sock`. You can still connect Odysseus to
+existing Ollama, vLLM, and other OpenAI-compatible endpoints without Docker
+socket access.
+
+Cookbook/local Docker-daemon management requires the opt-in overlay below. Raw
+Docker socket access is high-trust because it can effectively grant broad
+control over the host Docker daemon. Remote server Docker workflows over SSH
+remain preferred.
+
+Place these values in `.env`, or export them in the shell before running
+`docker compose`:
+
+```bash
+COMPOSE_FILE=docker-compose.yml:docker/host-docker.yml
+DOCKER_GID=<host docker group gid>
+```
+
+Combine host Docker access with a GPU overlay when both are intentionally
+required:
+
+```bash
+COMPOSE_FILE=docker-compose.yml:docker/gpu.nvidia.yml:docker/host-docker.yml
+# or
+COMPOSE_FILE=docker-compose.yml:docker/gpu.amd.yml:docker/host-docker.yml
+```
+
 **Docker GPU overlays.** CPU-only users can skip this section. Cookbook can
 only detect GPUs that Docker exposes to the container — if the host runtime or
 device passthrough is not configured, Cookbook sees the iGPU, another card, or
@@ -250,6 +277,19 @@ python -m uvicorn app:app --host 127.0.0.1 --port 7000
 If `python` points at an older interpreter, use `py -3.12` (or another installed
 3.11+ version) for the venv step.
 
+**Exposing on a LAN/Tailscale (Windows):** the launcher binds to `127.0.0.1` and
+does **not** read `APP_BIND` / `ODYSSEUS_HOST` from `.env`, so editing `.env`
+alone leaves the native Windows server on loopback. Pass the launcher's
+`-BindHost` flag instead:
+
+```powershell
+powershell -ExecutionPolicy Bypass -File .\launch-windows.ps1 -BindHost 0.0.0.0
+```
+
+The manual `uvicorn` command takes the same address as `--host 0.0.0.0`. Bind
+outside loopback only for a trusted LAN/VPN such as Tailscale: keep
+`AUTH_ENABLED=true` and do not expose the port directly to the public internet.
+
 **Requirements:** Python 3.11+. The core app (chat, agent, memory, documents,
 email, calendar, deep research) runs fully native. For full **Cookbook** background
 model downloads and the agent shell tool, also install
@@ -286,6 +326,16 @@ To expose Odysseus on a local network or Tailscale with HTTPS:
    ```
 4. Install the `mkcert` CA on any other device you want to access Odysseus from (e.g., for iOS, email the `rootCA.pem` to yourself, install the profile, and trust it in Certificate Trust Settings).
 
+### Common self-host traps (30-second fixes)
+A grab-bag of small gotchas that otherwise turn into long debugging sessions.
+
+- **`AUTH_ENABLED=false` is ignored / you're still forced to log in (Windows).** If you edited `.env` in Notepad it may have saved a UTF-8 **BOM**, turning the first key into `AUTH_ENABLED` so it is never matched. Odysseus loads `.env` with `encoding="utf-8-sig"` to tolerate a leading BOM, but the safe fix is to re-save `.env` as **UTF-8 without BOM** (VS Code: *Save with Encoding → UTF-8*).
+- **macOS: the app isn't at `http://localhost:7000`.** macOS AirPlay Receiver usually holds port `7000`, so the macOS start script serves on **`7860`** instead — open `http://localhost:7860`. To use `7000`, free it (System Settings → General → AirDrop & Handoff → turn off *AirPlay Receiver*) and set `APP_PORT=7000`.
+- **Copy buttons do nothing over a plain-HTTP Tailscale/LAN URL.** Browsers only expose the clipboard API (`navigator.clipboard`) on **secure origins** — HTTPS, or `localhost`. Over `http://100.x.y.z:7860` it is blocked. Serve over HTTPS (see *HTTPS + LAN/Tailscale exposure* above); `localhost` is exempt, so copy still works on the host itself.
+- **Self-hosted ntfy reminders don't reach your phone.** Two things: (1) the bundled ntfy binds to loopback by default — to reach it from your phone set `NTFY_BIND` to your host/Tailscale IP and `NTFY_BASE_URL` to the same server URL in `.env`, then recreate the ntfy container (see the `NTFY_*` block in `.env.example`); (2) in the ntfy **Android** app, subscribe to the topic with **Instant delivery** enabled — non-`ntfy.sh` servers don't get instant push otherwise.
+- **Local mail (Dovecot) login fails: "Plaintext authentication disallowed on non-encrypted connections."** Your IMAP/SMTP server is refusing cleartext auth over an unencrypted link. Prefer enabling TLS on the mail server; on a trusted LAN only, you can allow cleartext (Dovecot: `disable_plaintext_auth = no`).
+- **Calendar/contacts (Radicale) won't sync.** Point Odysseus at the **full collection URL** with its trailing slash — e.g. `http://host:5232/<user>/<collection-id>/` — not just the server root. Radicale shows this address for each calendar/address book in its web UI.
+
 ### Optional Dependencies
 `requirements-optional.txt` contains packages that unlock extra features. It is not installed by default.
 
@@ -422,4 +472,4 @@ All user data lives in `data/` (gitignored): `app.db` (sessions, messages, docum
 `memory.json`, `presets.json`, `uploads/`, `personal_docs/`, `chroma/`, `settings.json`.
 
 To back up or restore everything in `data/`, see the
-[Backup & Restore guide](docs/backup-restore.md).
+[Backup & Restore guide](backup-restore.md).

licenses/OpenDyslexic-OFL.txt

@@ -0,0 +1,94 @@
+Copyright (c) 2019-07-29, Abbie Gonzalez (https://abbiecod.es|support@abbiecod.es),
+with Reserved Font Name OpenDyslexic.
+Copyright (c) 12/2012 - 2019
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+http://scripts.sil.org/OFL
+
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded,
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting -- in part or in whole -- any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.

mcp_servers/email_server.py

@@ -58,6 +58,11 @@ def _uid_fetch_rows(data) -> list:
 _ACCOUNT_CACHE: dict = {}  # key = normalized account selector -> config dict
 _MCP_OWNER_ARG = "_odysseus_owner"
 _CURRENT_OWNER: ContextVar[str | None] = ContextVar("email_mcp_owner", default=None)
+_OWNER_ENV_KEYS = ("ODYSSEUS_MCP_EMAIL_OWNER", "ODYSSEUS_EMAIL_OWNER")
+_OWNER_SCOPE_ERROR = (
+    "Error: email MCP requires an authenticated owner or ODYSSEUS_MCP_EMAIL_OWNER "
+    "when owner-scoped email accounts are configured."
+)
 
 
 def _clean_header_value(value) -> str:
@@ -71,13 +76,29 @@ def _db_path() -> Path:
     return Path(APP_DB)
 
 
+def _configured_owner() -> str | None:
+    for key in _OWNER_ENV_KEYS:
+        owner = os.environ.get(key, "").strip()
+        if owner:
+            return owner
+    return None
+
+
 def _current_owner() -> str:
     owner = _CURRENT_OWNER.get()
-    return str(owner or "").strip()
+    return str(owner or _configured_owner() or "").strip()
+
+
+def _account_owner(row: dict) -> str:
+    return str(row.get("owner") or "").strip()
+
+
+def _has_owner_scoped_accounts(rows: list[dict]) -> bool:
+    return any(_account_owner(r) for r in rows)
 
 
 def _account_visible_to_owner(row: dict, owner: str) -> bool:
-    row_owner = str(row.get("owner") or "").strip()
+    row_owner = _account_owner(row)
     if row_owner == owner:
         return True
     if row_owner:
@@ -96,8 +117,7 @@ def _filter_accounts_for_owner(rows: list[dict]) -> list[dict]:
     if owner:
         return [r for r in rows if _account_visible_to_owner(r, owner)]
 
-    owners = {str(r.get("owner") or "").strip() for r in rows if str(r.get("owner") or "").strip()}
-    if len(owners) > 1:
+    if _has_owner_scoped_accounts(rows):
         return []
     return rows
 
@@ -106,8 +126,7 @@ def _mcp_owner_required(rows: list[dict] | None = None) -> bool:
     if _current_owner():
         return False
     rows = rows if rows is not None else _read_accounts_from_db()
-    owners = {str(r.get("owner") or "").strip() for r in rows if str(r.get("owner") or "").strip()}
-    return len(owners) > 1
+    return _has_owner_scoped_accounts(rows)
 
 
 def _load_email_writing_style() -> str:
@@ -274,6 +293,8 @@ def _load_config(account: str | None = None) -> dict:
     }
 
     raw_rows = _read_accounts_from_db()
+    if _mcp_owner_required(raw_rows):
+        raise ValueError(_OWNER_SCOPE_ERROR)
     rows = _filter_accounts_for_owner(raw_rows)
     row = _resolve_account_from_rows(rows, account)
     if _current_owner() and raw_rows and not rows:
@@ -538,6 +559,148 @@ def _get_cached_summaries():
         return {}
 
 
+def _fixture_email_file() -> Path:
+    return DATA_DIR / "fixture_email_messages.json"
+
+
+def _fixture_email_enabled() -> bool:
+    return _fixture_email_file().exists()
+
+
+def _parse_fixture_date(raw_date: str) -> tuple[str, float]:
+    if not raw_date:
+        return "", 0.0
+    parsed = None
+    try:
+        parsed = datetime.fromisoformat(str(raw_date).replace("Z", "+00:00"))
+    except Exception:
+        try:
+            parsed = email.utils.parsedate_to_datetime(str(raw_date))
+        except Exception:
+            parsed = None
+    if parsed:
+        return parsed.isoformat(), parsed.timestamp()
+    return str(raw_date), 0.0
+
+
+def _fixture_email_record(row: dict, uid_num: int, owner: str) -> dict:
+    sender = str(row.get("from") or "Fixture Sender <fixture@example.invalid>")
+    sender_name, sender_addr = email.utils.parseaddr(sender)
+    date_str, date_epoch = _parse_fixture_date(str(row.get("date") or ""))
+    subject = str(row.get("subject") or "(no subject)")
+    body = str(row.get("body") or "")
+    owner_key = re.sub(r"[^A-Za-z0-9_.-]", "-", owner or "default")
+    uid = str(uid_num)
+    return {
+        "uid": uid,
+        "message_id": f"<fixture-email-{uid}-{owner_key}@fixtures.odysseus.local>",
+        "subject": subject,
+        "from": sender_name or sender_addr or sender,
+        "from_address": sender_addr,
+        "date": date_str,
+        "date_epoch": date_epoch,
+        "summary": body[:240],
+        "body": body,
+        "account": "Fixture Inbox",
+        "account_email": owner or str(row.get("owner") or ""),
+        "account_id": "fixture-email",
+        "attachments": [],
+    }
+
+
+def _fixture_email_rows(owner: str | None = None) -> list[dict]:
+    path = _fixture_email_file()
+    if not path.exists():
+        return []
+    try:
+        raw = json.loads(path.read_text(encoding="utf-8"))
+    except Exception:
+        return []
+    rows = raw.get("messages") if isinstance(raw, dict) else raw
+    out = []
+    owner = str(owner or "").strip()
+    for i, row in enumerate(rows if isinstance(rows, list) else [], start=1):
+        if not isinstance(row, dict):
+            continue
+        row_owner = str(row.get("owner") or "").strip()
+        if owner and row_owner and row_owner != owner:
+            continue
+        out.append(_fixture_email_record(row, i, owner or row_owner))
+    out.sort(key=lambda item: item.get("date_epoch") or 0, reverse=True)
+    return out
+
+
+def _fixture_account_rows() -> list[dict]:
+    if not _fixture_email_enabled():
+        return []
+    owner = _current_owner()
+    owners = []
+    for row in _fixture_email_rows(owner or None):
+        email_addr = row.get("account_email") or owner or "fixture@fixtures.odysseus.local"
+        if email_addr not in owners:
+            owners.append(email_addr)
+    if not owners:
+        owners = [owner or "fixture@fixtures.odysseus.local"]
+    return [
+        {
+            "id": "fixture-email",
+            "owner": owner or owners[0],
+            "name": "Fixture Inbox",
+            "is_default": True,
+            "imap_user": owners[0],
+            "from_address": owners[0],
+        }
+    ]
+
+
+def _fixture_email_matches(item: dict, query: str) -> bool:
+    if not query:
+        return True
+    terms = [term for term in re.split(r"\W+", str(query).lower()) if term]
+    haystack = "\n".join(
+        str(item.get(key) or "")
+        for key in ("subject", "from", "from_address", "body", "summary")
+    ).lower()
+    return all(term in haystack for term in terms)
+
+
+def _fixture_list_emails(folder="INBOX", max_results=20, unresponded_only=False,
+                         unread_only=False, account=None) -> list[dict] | None:
+    if not _fixture_email_enabled():
+        return None
+    if account and str(account).strip().lower() not in {
+        "fixture-email",
+        "fixture inbox",
+        "fixture",
+        str(_current_owner()).lower(),
+    }:
+        return []
+    if (folder or "INBOX").upper() not in {"INBOX", "ALL", "ALL MAIL"}:
+        return []
+    return _fixture_email_rows(_current_owner())[: int(max_results or 20)]
+
+
+def _fixture_search_emails(query, folders=None, max_results=20, account=None) -> list[dict] | None:
+    if not _fixture_email_enabled():
+        return None
+    rows = _fixture_list_emails("INBOX", max_results=1000, account=account) or []
+    out = [dict(row, _folder="INBOX") for row in rows if _fixture_email_matches(row, str(query or ""))]
+    return out[: int(max_results or 20)]
+
+
+def _fixture_read_email(uid=None, message_id=None, folder="INBOX", account=None) -> dict | None:
+    if not _fixture_email_enabled():
+        return None
+    if (folder or "INBOX").upper() not in {"INBOX", "ALL", "ALL MAIL"}:
+        return {"error": f"Email UID {uid or message_id} not found"}
+    for item in _fixture_email_rows(_current_owner()):
+        if uid and str(item.get("uid")) == str(uid):
+            return item
+        if message_id and str(item.get("message_id")) == str(message_id):
+            return item
+    return {"error": f"Email not found with UID/Message-ID: {uid or message_id}"}
+
+
 # ── Tool implementations ──
 
 
@@ -548,6 +711,9 @@ def _list_emails(folder="INBOX", max_results=20, unresponded_only=False,
     Pass unread_only=True and/or unresponded_only=True for attention scans.
     account selects mailbox (None = default).
     """
+    fixture = _fixture_list_emails(folder, max_results, unresponded_only, unread_only, account)
+    if fixture is not None:
+        return fixture
     conn = None
     try:
         conn = _imap_connect(account)
@@ -629,6 +795,9 @@ def _result_sort_time(result: dict) -> datetime:
 
 def _list_emails_across_accounts(folder="INBOX", max_results=20,
                                  unresponded_only=False, unread_only=False):
+    fixture = _fixture_list_emails(folder, max_results, unresponded_only, unread_only, None)
+    if fixture is not None:
+        return fixture, []
     rows = _list_accounts_raw()
     combined = []
     errors = []
@@ -662,6 +831,9 @@ def _search_emails(query, folders=None, max_results=20, account=None):
     _list_emails plus an `_folder` tag."""
     if not query or not str(query).strip():
         return []
+    fixture = _fixture_search_emails(query, folders=folders, max_results=max_results, account=account)
+    if fixture is not None:
+        return fixture
     q = str(query).replace("\\", "\\\\").replace('"', '\\"')
     # Mail clients commonly use OR FROM/SUBJECT/TEXT to match either field.
     # IMAP SEARCH OR is binary, so we nest it.
@@ -784,6 +956,9 @@ def _extract_attachment_to_disk(msg, index, target_dir):
 
 def _read_email(uid=None, message_id=None, folder="INBOX", account=None):
     """Read full email content by UID or message-ID. account = mailbox selector."""
+    fixture = _fixture_read_email(uid=uid, message_id=message_id, folder=folder, account=account)
+    if fixture is not None:
+        return fixture
     cfg = _load_config(account)
     conn = None
     try:
@@ -837,6 +1012,9 @@ def _read_email(uid=None, message_id=None, folder="INBOX", account=None):
 
 
 def _read_email_across_accounts(uid=None, message_id=None, folder="INBOX"):
+    fixture = _fixture_read_email(uid=uid, message_id=message_id, folder=folder, account=None)
+    if fixture is not None:
+        return fixture
     rows = _list_accounts_raw()
     matches = []
     errors = []
@@ -1036,10 +1214,14 @@ def _send_email(to, subject, body, in_reply_to=None, references=None, cc=None, b
     UI. This closes the auto-send hole that let earlier models invent
     signatures and ship them to real recipients without confirmation."""
     if _read_agent_email_confirm_setting():
+        # Even confirmation-first sends must resolve the selected account now.
+        # Otherwise a caller could stage a pending draft against another
+        # owner's account selector before browser approval handles it.
+        cfg = _load_config(account)
         return _stash_agent_draft(
             to=to, subject=subject, body=body,
             in_reply_to=in_reply_to, references=references,
-            cc=cc, bcc=bcc, account=account,
+            cc=cc, bcc=bcc, account=cfg.get("account_id") or account,
         )
     send_account, cfg = _resolve_send_config(account)
     msg = EmailMessage()
@@ -1775,9 +1957,10 @@ async def list_tools() -> list[Tool]:
         Tool(
             name="reply_to_email",
             description=(
-                "Reply to an existing email by UID. This sends immediately; for normal "
-                "assistant-written replies, prefer draft_email_reply so the user can "
-                "review and send from Odysseus. Automatically threads the reply with "
+                "Reply to an existing email by UID. This sends immediately. Do NOT use "
+                "for normal 'write/draft a reply saying X' requests; use "
+                "draft_email_reply so the user can review and send from Odysseus. "
+                "Only use this when the user explicitly says to send now. Automatically threads the reply with "
                 "In-Reply-To and References headers, prefixes 'Re:' on the subject, and "
                 "uses the original sender as the recipient. Set reply_all=true to also CC "
                 "the original To/Cc recipients. For follow-up 'reply ...' requests, use "
@@ -1984,13 +2167,12 @@ async def call_tool(name: str, arguments: dict) -> list[TextContent]:
     try:
         all_db_accounts = _read_accounts_from_db()
         if _mcp_owner_required(all_db_accounts):
-            return [TextContent(
-                type="text",
-                text="Error: email MCP requires an authenticated owner when multiple email account owners are configured.",
-            )]
+            return [TextContent(type="text", text=_OWNER_SCOPE_ERROR)]
 
         if name == "list_email_accounts":
             rows = _filter_accounts_for_owner(all_db_accounts)
+            if not rows:
+                rows = _fixture_account_rows()
             if not rows:
                 if all_db_accounts and owner:
                     return [TextContent(type="text", text="No email accounts configured for this owner.")]

mcp_servers/image_gen_server.py

@@ -73,7 +73,7 @@ async def call_tool(name: str, arguments: dict) -> list[TextContent]:
         if not model_spec:
             for candidate in ("gpt-image-1.5", "gpt-image-1", "dall-e-3"):
                 try:
-                    _resolve_model(candidate)
+                    await asyncio.to_thread(_resolve_model, candidate)
                     model_spec = candidate
                     break
                 except ValueError:
@@ -81,7 +81,7 @@ async def call_tool(name: str, arguments: dict) -> list[TextContent]:
             if not model_spec:
                 return [TextContent(type="text", text="Error: No image model found. Configure one in Admin.")]
 
-        url, model_id, headers = _resolve_model(model_spec)
+        url, model_id, headers = await asyncio.to_thread(_resolve_model, model_spec)
 
         is_gpt_image = "gpt-image" in model_id.lower()
         base_url = url.replace("/chat/completions", "").replace("/v1/messages", "").rstrip("/")

requirements.txt

@@ -3,6 +3,7 @@ uvicorn
 python-multipart
 python-dotenv
 httpx
+httpcore>=1.0,<2.0
 pydantic>=2.13.4
 pydantic-settings>=2.14.1
 SQLAlchemy

routes/calendar_routes.py

@@ -1,6 +1,7 @@
 """Calendar routes — local SQLite-backed calendar CRUD."""
 
 import logging
+import json
 import re
 import uuid
 from datetime import datetime, date, timedelta
@@ -34,6 +35,24 @@ def _ics_naive_dtstart(dt):
         return datetime(dt.year, dt.month, dt.day)
     return dt
 
+
+def _ensure_positive_duration(start_dt, end_dt, all_day):
+    """Clamp an imported event's end so it has a positive duration.
+
+    Some .ics exporters write a single-day all-day event with DTEND equal to
+    DTSTART (treating DTEND as inclusive rather than the RFC 5545 exclusive
+    bound). Stored verbatim that produces a zero-duration row, which the
+    list_events overlap filter (dtstart < end AND dtend > start) silently
+    drops — the event never appears on the calendar even though the web UI
+    would otherwise show it. Normalize a non-positive end to the same default
+    span used when DTEND is absent: one day for all-day events, one hour
+    otherwise.
+    """
+    if end_dt <= start_dt:
+        return start_dt + (timedelta(days=1) if all_day else timedelta(hours=1))
+    return end_dt
+
+
 # Single-user fallback identity. Used only when:
 #   1. The app is configured for single-user (no auth middleware), AND
 #   2. The request didn't resolve to an authenticated user.
@@ -434,6 +453,20 @@ def _parse_dt(s: str) -> datetime:
         if t is not None:
             return base.replace(hour=t[0], minute=t[1])
 
+    # time-first: "3pm today", "9am tomorrow", "11pm tonight"
+    # (parity with parse_due_for_user, which handles these via the same form)
+    m = _re.match(r'^(.+?)\s+(today|tonight|tomorrow|tmrw|yesterday)$', lower)
+    if m:
+        time_part, word = m.group(1).strip(), m.group(2)
+        base = today
+        if word in ("tomorrow", "tmrw"):
+            base = today + timedelta(days=1)
+        elif word == "yesterday":
+            base = today - timedelta(days=1)
+        t = _parse_time(time_part)
+        if t is not None:
+            return base.replace(hour=t[0], minute=t[1])
+
     # next <weekday> [at] TIME
     weekdays = ["monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday"]
     m = _re.match(r'^next\s+(\w+)(?:\s+at)?\s*(.*)$', lower)
@@ -509,6 +542,7 @@ def _event_to_dict(ev: CalendarEvent) -> dict:
         "description": ev.description or "",
         "location": ev.location or "",
         "rrule": ev.rrule or "",
+        "recurrence_exdates": _recurrence_exdates(ev),
         "calendar": ev.calendar.name if ev.calendar else "",
         "calendar_href": ev.calendar_id,
         "color": ev.color or (ev.calendar.color if ev.calendar else ""),
@@ -522,6 +556,28 @@ def _event_to_dict(ev: CalendarEvent) -> dict:
 _RRULE_EXPANSION_LIMIT = 1000
 
 
+def _recurrence_exdates(ev: CalendarEvent) -> list[str]:
+    raw = getattr(ev, "recurrence_exdates", "") or ""
+    if not raw:
+        return []
+    try:
+        values = json.loads(raw)
+    except Exception:
+        return []
+    if not isinstance(values, list):
+        return []
+    return [str(v) for v in values if isinstance(v, str) and v.strip()]
+
+
+def _occurrence_exdate_key(uid: str, ev: CalendarEvent) -> str:
+    if "::" not in uid:
+        return ""
+    suffix = uid.split("::", 1)[1]
+    if ev.all_day:
+        return suffix[:10]
+    return suffix[:16]
+
+
 def _expand_rrule(
     ev: CalendarEvent, start: datetime, end: datetime
 ) -> List[dict]:
@@ -586,6 +642,7 @@ def _expand_rrule(
     results = []
     truncated = False
     base = _event_to_dict(ev)
+    exdates = set(_recurrence_exdates(ev))
 
     for occ_start in rule.xafter(expand_start, inc=True):
         if occ_start >= end:
@@ -606,8 +663,13 @@ def _expand_rrule(
         # Build the compound uid: {base_uid}::{date} or ::{datetime}
         if ev.all_day:
             occ_uid = f"{ev.uid}::{occ_start.strftime('%Y-%m-%d')}"
+            exdate_key = occ_start.strftime("%Y-%m-%d")
         else:
             occ_uid = f"{ev.uid}::{occ_start.strftime('%Y-%m-%dT%H:%M')}"
+            exdate_key = occ_start.strftime("%Y-%m-%dT%H:%M")
+
+        if exdate_key in exdates:
+            continue
 
         d = dict(base)
         d["uid"] = occ_uid
@@ -1118,7 +1180,7 @@ def setup_calendar_routes() -> APIRouter:
             db.close()
 
     @router.delete("/events/{uid}")
-    async def delete_event(request: Request, uid: str):
+    async def delete_event(request: Request, uid: str, scope: str = "series"):
         owner = _require_user(request)
         try:
             base_uid = _resolve_base_uid(uid)
@@ -1127,7 +1189,22 @@ def setup_calendar_routes() -> APIRouter:
         db = SessionLocal()
         try:
             ev = _get_or_404_event(db, base_uid, owner)
+            is_occurrence_delete = scope in {"occurrence", "instance"} and "::" in uid and bool(ev.rrule)
             is_caldav = ev.calendar and ev.calendar.source == "caldav"
+            if is_occurrence_delete:
+                key = _occurrence_exdate_key(uid, ev)
+                if not key:
+                    raise HTTPException(400, "Invalid recurring occurrence uid")
+                exdates = _recurrence_exdates(ev)
+                if key not in exdates:
+                    exdates.append(key)
+                ev.recurrence_exdates = json.dumps(sorted(exdates))
+                if is_caldav:
+                    ev.caldav_sync_pending = "update"
+                db.commit()
+                if is_caldav:
+                    await _push_caldav_event_after_commit(owner, base_uid, "update")
+                return {"ok": True, "scope": "occurrence", "exdate": key}
             if is_caldav:
                 _record_caldav_delete_tombstone(db, ev, owner)
             db.delete(ev)
@@ -1226,7 +1303,7 @@ def setup_calendar_routes() -> APIRouter:
                 db.commit()
                 db.refresh(target_cal)
 
-            imported = skipped = 0
+            imported = skipped = repaired = 0
             for comp in cal_data.walk():
                 if comp.name != "VEVENT":
                     continue
@@ -1262,6 +1339,18 @@ def setup_calendar_routes() -> APIRouter:
                         .first()
                     )
                     if existing:
+                        # An import predating the clamp below may have stored
+                        # this same event with a non-positive duration, which
+                        # the list_events overlap filter hides. Re-importing
+                        # lands here and would skip without touching that row,
+                        # so the event would stay invisible. Backfill the clamp
+                        # onto the stored row before skipping it.
+                        fixed_end = _ensure_positive_duration(
+                            existing.dtstart, existing.dtend, bool(existing.all_day)
+                        )
+                        if fixed_end != existing.dtend:
+                            existing.dtend = fixed_end
+                            repaired += 1
                         skipped += 1
                         continue
 
@@ -1295,6 +1384,8 @@ def setup_calendar_routes() -> APIRouter:
                     else:
                         end_dt = start_dt + timedelta(hours=1)
 
+                end_dt = _ensure_positive_duration(start_dt, end_dt, all_day)
+
                 ev = CalendarEvent(
                     uid=uid_val,
                     calendar_id=target_cal.id,
@@ -1315,6 +1406,7 @@ def setup_calendar_routes() -> APIRouter:
                 "ok": True,
                 "imported": imported,
                 "skipped": skipped,
+                "repaired": repaired,
                 "calendar": cal_display,
                 "calendar_id": target_cal.id,
             }

routes/chat_helpers.py

@@ -14,6 +14,7 @@ from core.database import Session as DBSession, ModelEndpoint
 from src.llm_core import normalize_model_id
 from src.endpoint_resolver import normalize_base
 from src.context_compactor import maybe_compact, trim_for_context
+from src.model_context import estimate_tokens
 from src.auth_helpers import effective_user
 from src.prompt_security import untrusted_context_message
 from routes.prefs_routes import _load_for_user as load_prefs_for_user
@@ -22,6 +23,31 @@ from fastapi import HTTPException
 
 logger = logging.getLogger(__name__)
 
+_CASUAL_OPENING_RE = re.compile(
+    r"^\s*(?:h+i+|hey+|hello+|yo+|sup+|what'?s up|wass?up|hiya|howdy|"
+    r"lol|lmao|haha+|hehe+|thanks?|thank you|ty|idk|dunno|meh|bruh|bro)\b(?P<tail>.*)$",
+    re.IGNORECASE,
+)
+_CASUAL_BLOCKLIST_RE = re.compile(
+    r"\b(?:cookbook|serve|serving|launch|start|vllm|sglang|llama\.?cpp|ollama|"
+    r"download|model|email|document|doc|note|calendar|task|search|web|research|"
+    r"file|folder|repo|git|settings?|endpoint|api|token|mcp)\b",
+    re.IGNORECASE,
+)
+
+
+def _is_casual_low_signal(text: str) -> bool:
+    """Short greetings/slang should not pull memory, skills, RAG, or docs."""
+    s = str(text or "").strip()
+    m = _CASUAL_OPENING_RE.match(s)
+    if not m:
+        return False
+    tail = m.group("tail") or ""
+    if _CASUAL_BLOCKLIST_RE.search(tail):
+        return False
+    tail_words = re.findall(r"[A-Za-z0-9_'-]+", tail)
+    return len(tail_words) <= 2
+
 
 # Strong references to in-flight fire-and-forget tasks scheduled from this
 # module. asyncio only keeps weak references to tasks created via
@@ -74,11 +100,19 @@ class ChatContext:
     uprefs: dict
     preset: PresetInfo
     preprocessed: PreprocessedMessage
+    context_trimmed: bool = False
+    context_messages_before_trim: int = 0
+    context_messages_after_trim: int = 0
+    context_tokens_before_trim: int = 0
+    context_tokens_after_trim: int = 0
     # Documents auto-created server-side during preprocess (e.g. when an
     # attached fillable PDF gets rendered into a markdown editor doc).
     # The chat route emits a doc_update SSE event for each before streaming
     # begins, so the editor pane switches to the new doc immediately.
     auto_opened_docs: list = field(default_factory=list)
+    # Uploads attached to this user turn, resolved and owner-checked for the
+    # agent's private context. This is not emitted to the browser.
+    uploaded_files: list = field(default_factory=list)
 
 
 # ── Helpers ────────────────────────────────────────────────────────────── #
@@ -341,6 +375,59 @@ async def preprocess(
     )
 
 
+def build_uploaded_file_manifest(att_ids: list, upload_handler, owner: Optional[str]) -> list[dict]:
+    """Resolve current-turn upload IDs into a small tool-facing manifest.
+
+    The chat UI already sends attachment ids, and preprocessing inlines as much
+    text as fits. Agent mode still needs a discoverable bridge for files whose
+    content was truncated/omitted or when the model chooses file tools. Only
+    owner-authorized uploads are included, and paths must remain inside the
+    configured upload directory.
+    """
+    if not att_ids or not upload_handler or not hasattr(upload_handler, "resolve_upload"):
+        return []
+
+    def _read_file_can_open(path: str) -> bool:
+        try:
+            from src.tool_execution import _resolve_tool_path
+
+            return _resolve_tool_path(path) == os.path.realpath(path)
+        except Exception:
+            return False
+
+    manifest: list[dict] = []
+    for att_id in att_ids:
+        try:
+            info = upload_handler.resolve_upload(str(att_id), owner=owner)
+        except Exception:
+            logger.debug("Failed to resolve upload %r for agent manifest", att_id, exc_info=True)
+            continue
+        if not isinstance(info, dict):
+            continue
+
+        path = info.get("path")
+        if path:
+            try:
+                inside = True
+                if hasattr(upload_handler, "_inside_upload_dir"):
+                    inside = bool(upload_handler._inside_upload_dir(path))
+                elif hasattr(upload_handler, "inside_base_dir"):
+                    inside = bool(upload_handler.inside_base_dir(path))
+                if not inside or not os.path.exists(path) or not _read_file_can_open(path):
+                    path = None
+            except Exception:
+                path = None
+
+        manifest.append({
+            "id": info.get("id") or str(att_id),
+            "name": info.get("name") or info.get("original_name") or str(att_id),
+            "mime": info.get("mime", ""),
+            "size": info.get("size", 0),
+            "path": path,
+        })
+    return manifest
+
+
 def add_user_message(sess, chat_handler, preprocessed: PreprocessedMessage, incognito: bool = False):
     """Add user message to session history and update session name.
     In incognito mode, still add to in-memory history (for conversation context)
@@ -588,6 +675,12 @@ async def build_chat_context(
     # bearer-token chat requests use the token owner instead of the "api" sentinel.
     user = effective_user(request)
     uprefs = load_prefs_for_user(user)
+    uploaded_files = build_uploaded_file_manifest(
+        att_ids or [],
+        getattr(chat_handler, "upload_handler", None),
+        getattr(sess, "owner", None),
+    )
+    casual_low_signal = _is_casual_low_signal(message)
 
     # Memory enabled?
     mem_enabled = not incognito and not no_memory and uprefs.get("memory_enabled", True)
@@ -597,6 +690,9 @@ async def build_chat_context(
     if not allow_tool_preprocessing:
         mem_enabled = False
         skills_enabled = False
+    if casual_low_signal:
+        mem_enabled = False
+        skills_enabled = False
     logger.debug(
         "Memory enabled=%s for user=%s (incognito=%s, no_memory=%s, pref=%s)",
         mem_enabled, user, incognito, no_memory, uprefs.get("memory_enabled", "NOT_SET"),
@@ -612,11 +708,11 @@ async def build_chat_context(
 
     # Use RAG?
     use_rag_val = (str(use_rag).lower() != "false") if use_rag is not None else True
-    if incognito or not allow_tool_preprocessing or is_research_spinoff:
+    if incognito or not allow_tool_preprocessing or is_research_spinoff or casual_low_signal:
         use_rag_val = False
 
     # If pre-fetched search context was provided (compare mode), skip live web search
-    skip_web = bool(search_context) or not allow_tool_preprocessing
+    skip_web = bool(search_context) or not allow_tool_preprocessing or casual_low_signal
 
     # Build context preface
     # The stream path uses enhanced_message (with CoT/preprocessing applied),
@@ -635,7 +731,7 @@ async def build_chat_context(
         incognito=incognito,
         use_skills=skills_enabled,
     )
-    if use_rag is not None or is_research_spinoff:
+    if use_rag is not None or is_research_spinoff or casual_low_signal:
         _preface_kwargs["use_rag"] = use_rag_val
     preface, rag_sources, web_sources = chat_processor.build_context_preface(**_preface_kwargs)
 
@@ -643,7 +739,7 @@ async def build_chat_context(
     used_memories = getattr(chat_processor, '_last_used_memories', [])
 
     # Inject pre-fetched search context (compare mode)
-    if search_context and allow_tool_preprocessing:
+    if search_context and allow_tool_preprocessing and not casual_low_signal:
         preface.append(untrusted_context_message("prefetched search context", search_context))
 
     # YouTube transcripts
@@ -687,7 +783,12 @@ async def build_chat_context(
     messages, context_length, was_compacted = await maybe_compact(
         sess, sess.endpoint_url, sess.model, messages, sess.headers, owner=user,
     )
+    _before_trim_messages = len(messages)
+    _before_trim_tokens = estimate_tokens(messages)
     messages = trim_for_context(messages, context_length)
+    _after_trim_messages = len(messages)
+    _after_trim_tokens = estimate_tokens(messages)
+    _context_trimmed = _after_trim_messages < _before_trim_messages or _after_trim_tokens < _before_trim_tokens
 
     return ChatContext(
         preface=preface,
@@ -701,7 +802,13 @@ async def build_chat_context(
         uprefs=uprefs,
         preset=preset,
         preprocessed=preprocessed,
+        context_trimmed=_context_trimmed,
+        context_messages_before_trim=_before_trim_messages,
+        context_messages_after_trim=_after_trim_messages,
+        context_tokens_before_trim=_before_trim_tokens,
+        context_tokens_after_trim=_after_trim_tokens,
         auto_opened_docs=auto_opened_docs,
+        uploaded_files=uploaded_files,
     )
 
 

routes/chat_routes.py

@@ -3,6 +3,7 @@
 import asyncio
 import json
 import os
+import re
 import time
 import logging
 from datetime import datetime
@@ -29,6 +30,7 @@ from routes.document_helpers import _owner_session_filter
 from core.database import SessionLocal, get_session_mode, set_session_mode
 from core.database import Session as DBSession, ChatMessage as DBChatMessage
 from core.database import Document as DBDocument, ModelEndpoint
+from core.log_safety import redact_url
 from routes.research_routes import _resolve_research_endpoint
 from routes.model_routes import _visible_models
 from routes.chat_helpers import (
@@ -39,7 +41,7 @@ from routes.chat_helpers import (
     clean_thinking_for_save,
     _enforce_chat_privileges,
 )
-from src.action_intents import classify_tool_intent as _classify_tool_intent
+from src.action_intents import ToolIntent, classify_tool_intent as _classify_tool_intent
 from src.tool_policy import build_effective_tool_policy
 
 logger = logging.getLogger(__name__)
@@ -62,6 +64,78 @@ def _stream_set(session_id: str, **fields) -> None:
     rec.update(fields)
 
 
+def _message_plain_text(content: Any) -> str:
+    if isinstance(content, list):
+        parts: List[str] = []
+        for block in content:
+            if isinstance(block, dict):
+                text = block.get("text")
+                if isinstance(text, str):
+                    parts.append(text)
+            elif isinstance(block, str):
+                parts.append(block)
+        return " ".join(parts)
+    return str(content or "")
+
+
+def _last_user_plain_text(messages: List[Dict[str, Any]]) -> str:
+    for msg in reversed(messages or []):
+        if msg.get("role") == "user":
+            return _message_plain_text(msg.get("content"))
+    return ""
+
+
+def _ensure_current_request_is_latest_user(messages: List[Dict[str, Any]], current_message: str) -> List[Dict[str, Any]]:
+    """Defensively keep detached streams grounded on the request that created them."""
+    current = str(current_message or "").strip()
+    if not current:
+        return messages
+    latest = _last_user_plain_text(messages).strip()
+    if latest == current or current in latest or latest in current:
+        return messages
+    logger.warning(
+        "[chat_stream] latest user context mismatch; appending current request for model call. latest=%r current=%r",
+        latest[:120],
+        current[:120],
+    )
+    repaired = list(messages or [])
+    repaired.append({"role": "user", "content": current})
+    return repaired
+
+
+_WEB_FOLLOWUP_RE = re.compile(
+    r"^\s*(?:(?:can|could|would|will)\s+you\s+)?"
+    r"(?:check|try\s+again|look(?:\s+now|\s+it\s+up)?|search(?:\s+now|\s+online|\s+it)?|"
+    r"do\s+it|again)\??\s*$",
+    re.I,
+)
+_RECENT_WEB_CONTEXT_RE = re.compile(
+    r"\b(?:weather|forecast|rain|raining|hourly|news|headlines|rate|exchange|currency|"
+    r"price|current|latest|search|look\s+up|online)\b",
+    re.I,
+)
+
+
+def _recent_session_text(sess, limit: int = 8, max_chars: int = 2000) -> str:
+    history = getattr(sess, "history", None) or getattr(sess, "_history", None) or []
+    chunks: List[str] = []
+    for msg in history[-limit:]:
+        content = getattr(msg, "content", None)
+        if content is None and isinstance(msg, dict):
+            content = msg.get("content")
+        text = _message_plain_text(content).strip()
+        if text:
+            chunks.append(text)
+    return " ".join(chunks)[-max_chars:]
+
+
+def _is_contextual_web_followup(message: str, sess) -> bool:
+    """Treat short retry/check replies as web lookups when recent context was web."""
+    if not message or not _WEB_FOLLOWUP_RE.search(message):
+        return False
+    return bool(_RECENT_WEB_CONTEXT_RE.search(_recent_session_text(sess)))
+
+
 def _resolve_request_workspace(request, raw_value) -> tuple:
     """Resolve the posted workspace for this request: (workspace, rejected).
 
@@ -509,6 +583,10 @@ def setup_chat_routes(
         # below). Skill extraction should only learn from real agent sessions,
         # not chats we quietly promoted for a notes/calendar intent.
         user_requested_agent = (chat_mode == "agent")
+        _search_enabled = (
+            str(allow_web_search).lower() == "true"
+            or str(use_web).lower() == "true"
+        )
         # Intent auto-escalation: if the user is clearly asking the assistant
         # to create a todo, reminder, or calendar event, promote chat → agent
         # for this turn so the LLM has access to manage_notes / manage_calendar.
@@ -526,6 +604,10 @@ def setup_chat_routes(
                 _tool_intent.category,
                 _tool_intent.reason,
             )
+        elif chat_mode == "chat" and _search_enabled:
+            chat_mode = "agent"
+            auto_escalated = True
+            logger.info("chat→agent auto-escalation: search enabled")
         active_doc_id = form_data.get("active_doc_id", "").strip()
         logger.info(f"[doc-inject] chat_mode={chat_mode}, active_doc_id={active_doc_id!r}")
 
@@ -618,6 +700,20 @@ def setup_chat_routes(
                     400,
                     "No model selected for this chat. Open the model picker and choose one before sending.",
                 )
+            if (
+                chat_mode == "chat"
+                and isinstance(message, str)
+                and (not _tool_intent or not _tool_intent.needs_tools)
+                and _is_contextual_web_followup(message, sess)
+            ):
+                _tool_intent = ToolIntent(True, "web", "contextual web lookup follow-up")
+                chat_mode = "agent"
+                auto_escalated = True
+                logger.info(
+                    "chat→agent auto-escalation: category=%s reason=%s",
+                    _tool_intent.category,
+                    _tool_intent.reason,
+                )
         except SessionNotFoundError as e:
             raise HTTPException(404, str(e))
         except (ValueError, ValidationError):
@@ -728,6 +824,15 @@ def setup_chat_routes(
                         logger.info(f"[doc-inject] found by ID: title={active_doc.title!r}, lang={active_doc.language!r}, is_active={active_doc.is_active}, content_len={len(active_doc.current_content or '')}")
                 else:
                     logger.warning(f"[doc-inject] NOT FOUND by ID {active_doc_id}")
+            if not active_doc:
+                _email_doc_q = _doc_db.query(DBDocument).filter(
+                    DBDocument.session_id == session,
+                    DBDocument.is_active == True,
+                    DBDocument.language == "email",
+                )
+                active_doc = _owner_session_filter(_email_doc_q, ctx.user).order_by(DBDocument.updated_at.desc()).first()
+                if active_doc:
+                    logger.info(f"[doc-inject] found email draft by session fallback: title={active_doc.title!r}")
             if not active_doc:
                 _session_doc_q = _doc_db.query(DBDocument).filter(
                     DBDocument.session_id == session,
@@ -771,14 +876,31 @@ def setup_chat_routes(
         # by default without having to send allow_bash in every request.
         if allow_bash is not None and str(allow_bash).lower() != "true":
             disabled_tools.add("bash")
-        _explicit_web_intent = bool(_tool_intent and _tool_intent.category == "web")
         if (
             allow_web_search is not None
             and str(allow_web_search).lower() != "true"
-            and not _explicit_web_intent
         ):
             disabled_tools.add("web_search")
             disabled_tools.add("web_fetch")
+        if _explicit_web_intent:
+            # A direct lookup/search request should not drift into personal
+            # tools or shell fallbacks. We still keep web_search/web_fetch
+            # available even when the frontend toggle is stale/falsy because
+            # the user's words are the stronger signal.
+            disabled_tools.update({
+                "bash", "python",
+                "search_chats", "manage_skills", "manage_memory",
+                "read_file", "write_file", "edit_file",
+                "create_document", "edit_document", "update_document",
+                "send_email", "reply_to_email",
+                "manage_notes", "manage_calendar", "manage_tasks",
+                "api_call", "builtin_browser",
+            })
+            disabled_tools.discard("web_search")
+            disabled_tools.discard("web_fetch")
+        elif _search_enabled:
+            disabled_tools.discard("web_search")
+            disabled_tools.discard("web_fetch")
 
         # Nobody/incognito mode: deny tools that would expose the user's
         # persistent memory, past chats, or other identity-linked data.
@@ -789,19 +911,19 @@ def setup_chat_routes(
                 "manage_skills",      # skill presets tied to user
             })
 
-        # Active email reader open → strip the tools that let the agent
-        # "drift" to a new compose: create_document (writes a fake email-
-        # shaped .md file) and send_email (sends fresh to a recipient the
-        # agent invented). With those gone, the only paths left for "write
-        # email saying X" are ui_control open_email_reply (draft) and
-        # reply_to_email (immediate send) — both of which use the open
-        # email's UID. Code-level enforcement instead of relying on a
-        # prompt rule the model can ignore.
+        # Active email reader open → strip the tools that let the agent drift
+        # away from the visible email or skip review. The only allowed compose
+        # path is ui_control open_email_reply, which opens the same draft editor
+        # as the Reply button with the generated body pre-filled. This prevents
+        # the model from falling back to direct SMTP when it botches a draft
+        # call, and prevents fake email-shaped documents.
         if active_email_ctx and active_email_ctx.get("uid"):
             disabled_tools.update({
                 "create_document",
                 "send_email",
+                "reply_to_email",
                 "mcp__email__send_email",
+                "mcp__email__reply_to_email",
             })
 
         # Enforce per-user privileges
@@ -829,7 +951,14 @@ def setup_chat_routes(
         from src.settings import get_setting
         _global_disabled = get_setting("disabled_tools", [])
         if _global_disabled and isinstance(_global_disabled, list):
-            disabled_tools.update(_global_disabled)
+            explicit_web_allowed = (
+                _explicit_web_intent
+                or (allow_web_search is not None and str(allow_web_search).lower() == "true")
+            )
+            if explicit_web_allowed:
+                disabled_tools.update(t for t in _global_disabled if t not in {"web_search", "web_fetch"})
+            else:
+                disabled_tools.update(_global_disabled)
 
         # Light auto-escalation: the user is in chat mode and just expressed a
         # notes/calendar/email intent. Grant the relevant managers but withhold
@@ -926,7 +1055,7 @@ def setup_chat_routes(
             if effective_do_research:
                 _r_ep, _r_model, _r_headers = _resolve_research_endpoint(sess)
                 _auth_keys = list(_r_headers.keys()) if _r_headers else []
-                logger.info(f"Research endpoint resolved: model={_r_model}, endpoint={_r_ep}, auth_keys={_auth_keys}, sess_headers_keys={list(sess.headers.keys()) if isinstance(sess.headers, dict) else type(sess.headers)}")
+                logger.info(f"Research endpoint resolved: model={_r_model}, endpoint={redact_url(_r_ep)}, auth_keys={_auth_keys}, sess_headers_keys={list(sess.headers.keys()) if isinstance(sess.headers, dict) else type(sess.headers)}")
 
                 # Clarification round: only for very short/vague queries on first research message.
                 # Skip in compare mode — each pane is a fresh session, so every one would
@@ -1043,13 +1172,16 @@ def setup_chat_routes(
                     _active_streams.pop(session, None)
                     return
 
-            messages = ctx.messages
+            messages = _ensure_current_request_is_latest_user(ctx.messages, message)
 
             # Auto-compact notification
             if ctx.was_compacted:
                 yield f"data: {json.dumps({'type': 'compacted', 'context_length': ctx.context_length})}\n\n"
+            if ctx.context_trimmed and not ctx.was_compacted:
+                yield f"data: {json.dumps({'type': 'context_trimmed', 'data': {'context_length': ctx.context_length, 'messages_before': ctx.context_messages_before_trim, 'messages_after': ctx.context_messages_after_trim, 'tokens_before': ctx.context_tokens_before_trim, 'tokens_after': ctx.context_tokens_after_trim}})}\n\n"
 
             full_response = ""
+            thinking_response = ""
             last_metrics = None
 
             # Configured fallback chain for the default chat model. Tried in
@@ -1139,7 +1271,9 @@ def setup_chat_routes(
                                     # Forward them so the client can show a thinking
                                     # indicator, but don't fold them into the saved
                                     # reply (mirrors the rewrite path below).
-                                    if not data.get("thinking"):
+                                    if data.get("thinking"):
+                                        thinking_response += data["delta"]
+                                    else:
                                         full_response += data["delta"]
                                         _stream_set(session, partial=full_response)
                                     yield chunk
@@ -1159,6 +1293,12 @@ def setup_chat_routes(
                                     _reported_model = last_metrics.get("model")
                                     last_metrics["requested_model"] = _requested_model
                                     last_metrics["model"] = _reported_model or _actual_model or _answered_by or _requested_model
+                                    if ctx.context_trimmed:
+                                        last_metrics["context_trimmed"] = True
+                                        last_metrics["context_messages_before_trim"] = ctx.context_messages_before_trim
+                                        last_metrics["context_messages_after_trim"] = ctx.context_messages_after_trim
+                                        last_metrics["context_tokens_before_trim"] = ctx.context_tokens_before_trim
+                                        last_metrics["context_tokens_after_trim"] = ctx.context_tokens_after_trim
                                     if ctx.context_length and last_metrics.get("input_tokens"):
                                         pct = min(round((last_metrics["input_tokens"] / ctx.context_length) * 100, 1), 100.0)
                                         last_metrics["context_percent"] = pct
@@ -1201,8 +1341,11 @@ def setup_chat_routes(
                                 }
                                 yield f'data: {json.dumps({"type": "metrics", "data": last_metrics})}\n\n'
                             if full_response:
+                                _metrics_to_save = dict(last_metrics or {})
+                                if thinking_response.strip() and not _metrics_to_save.get("thinking"):
+                                    _metrics_to_save["thinking"] = thinking_response.strip()
                                 _saved_id = save_assistant_response(
-                                    sess, session_manager, session, full_response, last_metrics,
+                                    sess, session_manager, session, full_response, _metrics_to_save,
                                     character_name=ctx.preset.character_name,
                                     web_sources=web_sources,
                                     rag_sources=ctx.rag_sources,
@@ -1215,7 +1358,7 @@ def setup_chat_routes(
                                     yield f'data: {json.dumps({"type": "message_saved", "id": _saved_id})}\n\n'
                                 run_post_response_tasks(
                                     sess, session_manager, session, message, full_response,
-                                    last_metrics, ctx.uprefs, memory_manager, memory_vector, webhook_manager,
+                                    _metrics_to_save, ctx.uprefs, memory_manager, memory_vector, webhook_manager,
                                     incognito=incognito, compare_mode=compare_mode,
                                     character_name=ctx.preset.character_name,
                                     owner=_user,
@@ -1250,7 +1393,14 @@ def setup_chat_routes(
                 try:
                     from src.settings import get_setting
                     from src.agent_tools import MAX_AGENT_ROUNDS as _DEFAULT_ROUNDS
-                    _tool_budget = int(get_setting("agent_max_tool_calls", 0))
+                    # Per-message tool budget from settings; guard defensively in
+                    # case settings.json was hand-edited to a non-numeric value
+                    # (the HTTP admin endpoint validates, but direct edits bypass
+                    # it). 0 = unlimited, matching auth_routes set_settings().
+                    try:
+                        _tool_budget = int(get_setting("agent_max_tool_calls", 0))
+                    except (TypeError, ValueError):
+                        _tool_budget = 0
                     # Per-message round cap from settings; clamp defensively in
                     # case settings.json was hand-edited to a bad value.
                     try:
@@ -1259,6 +1409,12 @@ def setup_chat_routes(
                         _max_rounds = _DEFAULT_ROUNDS
                     _max_rounds = max(1, min(_max_rounds, 200))
 
+                    _forced_tools = None
+                    if _explicit_web_intent:
+                        _forced_tools = {"web_search", "web_fetch"}
+                    elif _search_enabled:
+                        _forced_tools = {"web_search", "web_fetch"}
+
                     async for chunk in stream_agent_loop(
                         sess.endpoint_url,
                         sess.model,
@@ -1280,6 +1436,8 @@ def setup_chat_routes(
                         plan_mode=plan_mode,
                         approved_plan=approved_plan or None,
                         workspace=workspace or None,
+                        forced_tools=_forced_tools,
+                        uploaded_files=ctx.uploaded_files,
                     ):
                         if chunk.startswith("data: ") and not chunk.startswith("data: [DONE]"):
                             try:
@@ -1288,7 +1446,9 @@ def setup_chat_routes(
                                     # Reasoning tokens arrive flagged thinking:true.
                                     # Forward them for the live indicator, but keep
                                     # them out of the saved reply (same as chat mode).
-                                    if not data.get("thinking"):
+                                    if data.get("thinking"):
+                                        thinking_response += data["delta"]
+                                    else:
                                         full_response += data["delta"]
                                         _stream_set(session, partial=full_response)
                                     yield chunk
@@ -1326,15 +1486,26 @@ def setup_chat_routes(
                                     _reported_model = last_metrics.get("model")
                                     last_metrics["requested_model"] = last_metrics.get("requested_model") or _requested_model
                                     last_metrics["model"] = _reported_model or _actual_model or _answered_by or _requested_model
+                                    if ctx.context_trimmed:
+                                        last_metrics["context_trimmed"] = True
+                                        last_metrics["context_messages_before_trim"] = ctx.context_messages_before_trim
+                                        last_metrics["context_messages_after_trim"] = ctx.context_messages_after_trim
+                                        last_metrics["context_tokens_before_trim"] = ctx.context_tokens_before_trim
+                                        last_metrics["context_tokens_after_trim"] = ctx.context_tokens_after_trim
                                     yield f'data: {json.dumps({"type": "metrics", "data": last_metrics})}\n\n'
                             except json.JSONDecodeError:
                                 yield chunk
                         elif chunk.startswith("event: "):
                             yield chunk
                         elif chunk == "data: [DONE]\n\n":
-                            if full_response:
+                            _has_tool_events = bool((last_metrics or {}).get("tool_events"))
+                            if full_response or _has_tool_events:
+                                _response_to_save = full_response or "Done."
+                                _metrics_to_save = dict(last_metrics or {})
+                                if thinking_response.strip() and not _metrics_to_save.get("thinking"):
+                                    _metrics_to_save["thinking"] = thinking_response.strip()
                                 _saved_id = save_assistant_response(
-                                    sess, session_manager, session, full_response, last_metrics,
+                                    sess, session_manager, session, _response_to_save, _metrics_to_save,
                                     character_name=ctx.preset.character_name,
                                     web_sources=web_sources,
                                     rag_sources=ctx.rag_sources,
@@ -1344,8 +1515,8 @@ def setup_chat_routes(
                                 if _saved_id:
                                     yield f'data: {json.dumps({"type": "message_saved", "id": _saved_id})}\n\n'
                                 run_post_response_tasks(
-                                    sess, session_manager, session, message, full_response,
-                                    last_metrics, ctx.uprefs, memory_manager, memory_vector, webhook_manager,
+                                    sess, session_manager, session, message, _response_to_save,
+                                    _metrics_to_save, ctx.uprefs, memory_manager, memory_vector, webhook_manager,
                                     incognito=incognito, compare_mode=compare_mode,
                                     character_name=ctx.preset.character_name,
                                                             agent_rounds=_agent_rounds,

routes/codex_routes.py

@@ -15,6 +15,7 @@ from typing import Any
 from fastapi import APIRouter, BackgroundTasks, Body, HTTPException, Request
 from fastapi.responses import StreamingResponse
 
+from core.middleware import require_admin
 from src.auth_helpers import require_authenticated_request, require_user
 from src.tool_implementations import do_manage_notes
 from src.constants import COOKBOOK_STATE_FILE
@@ -109,6 +110,20 @@ def _scope_owner_all(request: Request, required: set[str]) -> str:
     return require_user(request)
 
 
+def _require_cookbook_scope(request: Request, allowed: set[str]) -> str:
+    """Authorize a Codex cookbook route.
+
+    For API-token callers, enforce the given scope set.
+    For cookie-session callers, additionally require admin privileges
+    because cookbook surfaces expose host topology, task logs, tmux
+    commands, and model-serving controls.
+    """
+    owner = _scope_owner(request, allowed)
+    if not getattr(request.state, "api_token", False):
+        require_admin(request)
+    return owner
+
+
 def _find_endpoint(router: APIRouter | None, method: str, path: str):
     if router is None:
         return None
@@ -118,6 +133,18 @@ def _find_endpoint(router: APIRouter | None, method: str, path: str):
     return None
 
 
+def _clamp_pagination(offset: Any, limit: Any, *, default_limit: int = 50, max_limit: int = 50) -> tuple[int, int]:
+    try:
+        parsed_offset = int(0 if offset in (None, "") else offset)
+    except (TypeError, ValueError):
+        raise HTTPException(400, "Invalid offset")
+    try:
+        parsed_limit = int(default_limit if limit in (None, "") else limit)
+    except (TypeError, ValueError):
+        raise HTTPException(400, "Invalid limit")
+    return max(0, parsed_offset), max(1, min(parsed_limit, max_limit))
+
+
 def setup_codex_routes(
     email_router: APIRouter | None = None,
     memory_router: APIRouter | None = None,
@@ -425,10 +452,18 @@ def setup_codex_routes(
         owner = _scope_owner(request, DOCS_READ_SCOPES)
         if documents_library_endpoint is None:
             raise HTTPException(503, "Documents integration is not available")
-        return await _as_owner(
+        offset, limit = _clamp_pagination(offset, limit)
+        result = await _as_owner(
             request, owner, documents_library_endpoint,
             request, search, language, sort, offset, limit, archived,
         )
+        if isinstance(result, dict):
+            docs = result.get("documents")
+            total = result.get("total")
+            if isinstance(docs, list) and isinstance(total, int):
+                next_offset = offset + len(docs)
+                result["next_offset"] = next_offset if next_offset < total else None
+        return result
 
     @router.get("/documents/{doc_id}")
     async def codex_documents_get(request: Request, doc_id: str):
@@ -532,14 +567,14 @@ def setup_codex_routes(
 
     @router.get("/cookbook/tasks")
     async def codex_cookbook_tasks(request: Request):
-        _scope_owner(request, COOKBOOK_READ_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_READ_SCOPES)
         state = _read_cookbook_state()
         tasks = state.get("tasks") or []
         return {"tasks": [_redact_task(t) for t in tasks]}
 
     @router.get("/cookbook/servers")
     async def codex_cookbook_servers(request: Request):
-        _scope_owner(request, COOKBOOK_READ_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_READ_SCOPES)
         state = _read_cookbook_state()
         servers = state.get("env", {}).get("servers") or []
         # Strip ssh creds / passwords; keep only what's needed to pick a host.
@@ -558,7 +593,7 @@ def setup_codex_routes(
 
     @router.get("/cookbook/output/{session_id}")
     async def codex_cookbook_output(request: Request, session_id: str, tail: int = 400):
-        _scope_owner(request, COOKBOOK_READ_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_READ_SCOPES)
         # Defensive: session_id must be the tmux-style id we issue
         # (`serve-XXXX` / `cookbook-XXXX` / `queue-XXXX`); anything else
         # would let the agent run arbitrary `tmux capture-pane` targets.
@@ -600,7 +635,7 @@ def setup_codex_routes(
 
     @router.post("/cookbook/serve")
     async def codex_cookbook_serve(request: Request, body: dict[str, Any] = Body(default_factory=dict)):
-        _scope_owner(request, COOKBOOK_LAUNCH_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_LAUNCH_SCOPES)
         # Wraps /api/model/serve with the SAME validation the UI uses.
         # _validate_serve_cmd (called inside model_serve) rejects shell
         # metachars and requires the leading binary to be in the
@@ -639,7 +674,7 @@ def setup_codex_routes(
 
     @router.post("/cookbook/stop/{session_id}")
     async def codex_cookbook_stop(request: Request, session_id: str):
-        _scope_owner(request, COOKBOOK_LAUNCH_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_LAUNCH_SCOPES)
         import re as _re
         if not _re.fullmatch(r"[a-zA-Z0-9_-]+", session_id):
             raise HTTPException(400, "Invalid session id")
@@ -659,7 +694,7 @@ def setup_codex_routes(
         """List cached models on a configured server (or local if host is omitted).
         Mirrors `list_cached_models` from the chat agent so external agents have
         the same inventory view before deciding what to serve/download."""
-        _scope_owner(request, COOKBOOK_READ_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_READ_SCOPES)
         # Hit /api/model/cached internally, with the same modelDirs the chat
         # agent's list_cached_models would resolve from cookbook state.
         state = _read_cookbook_state()
@@ -721,7 +756,7 @@ def setup_codex_routes(
         """List saved serve presets (model + host + port + launch cmd).
         Counterpart to `list_serve_presets`. Use BEFORE composing a `serve`
         body — the user's saved preset usually has the working cmd already."""
-        _scope_owner(request, COOKBOOK_READ_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_READ_SCOPES)
         state = _read_cookbook_state()
         presets = state.get("presets") or []
         out = []
@@ -741,7 +776,7 @@ def setup_codex_routes(
     async def codex_cookbook_serve_preset(request: Request, name: str):
         """Launch a saved preset by name. Reuses the working cmd + host the
         user already saved, avoiding the cmd-allowlist trial-and-error loop."""
-        _scope_owner(request, COOKBOOK_LAUNCH_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_LAUNCH_SCOPES)
         import re as _re
         if not _re.fullmatch(r"[A-Za-z0-9 _.:@\-]+", name):
             raise HTTPException(400, "Invalid preset name")
@@ -793,7 +828,7 @@ def setup_codex_routes(
         cookbook tracking. Needed when serve_model rejects a cmd and the
         agent falls back to direct ssh — without adoption the session is
         invisible to the UI. Body: {tmux_session, model, host?, port?}."""
-        _scope_owner(request, COOKBOOK_LAUNCH_SCOPES)
+        _require_cookbook_scope(request, COOKBOOK_LAUNCH_SCOPES)
         norm = dict(body or {})
         sess = (norm.get("tmux_session") or norm.get("session_id") or "").strip()
         model = (norm.get("model") or norm.get("repo_id") or "").strip()

routes/contacts/__init__.py

@@ -0,0 +1,5 @@
+"""Contacts route domain package (slice 2e, #4082/#4071).
+
+Contains contacts_routes.py, migrated from the flat routes/ directory.
+Backward-compat shim at routes/contacts_routes.py re-exports from here.
+"""

routes/contacts/contacts_routes.py

@@ -0,0 +1,916 @@
+"""
+contacts_routes.py
+
+CardDAV contacts integration. Reads from local Radicale, supports
+search and adding new contacts.
+"""
+
+import re
+import logging
+import uuid
+import json
+import csv
+import io
+import os
+import inspect
+import httpx
+from pathlib import Path
+from datetime import datetime
+from urllib.parse import urljoin, urlparse, urlunparse
+
+from core.log_safety import redact_url
+from fastapi import APIRouter, Query, Depends, Response, HTTPException
+from typing import List, Dict, Optional
+
+from core.middleware import require_admin
+from src.url_safety import check_outbound_url
+
+logger = logging.getLogger(__name__)
+
+from src.constants import DATA_DIR as _DATA_DIR, SETTINGS_FILE as _SETTINGS_FILE, CONTACTS_FILE as _CONTACTS_FILE
+DATA_DIR = Path(_DATA_DIR)
+SETTINGS_FILE = Path(_SETTINGS_FILE)
+LOCAL_CONTACTS_FILE = Path(_CONTACTS_FILE)
+
+
+def _load_settings():
+    if SETTINGS_FILE.exists():
+        return json.loads(SETTINGS_FILE.read_text(encoding="utf-8"))
+    return {}
+
+
+def _save_settings(settings):
+    from core.atomic_io import atomic_write_json
+    atomic_write_json(str(SETTINGS_FILE), settings, indent=2)
+
+
+def _get_carddav_config():
+    import os
+    settings = _load_settings()
+    password = settings.get("carddav_password", os.environ.get("CARDDAV_PASSWORD", ""))
+    if password and "carddav_password" in settings:
+        from src.secret_storage import decrypt
+        password = decrypt(password)
+    return {
+        "url": settings.get("carddav_url", os.environ.get("CARDDAV_URL", "")),
+        "username": settings.get("carddav_username", os.environ.get("CARDDAV_USERNAME", "")),
+        "password": password,
+    }
+
+
+def _carddav_configured(cfg: Optional[Dict] = None) -> bool:
+    cfg = cfg or _get_carddav_config()
+    return bool((cfg.get("url") or "").strip())
+
+
+def _validate_carddav_url(url: str) -> str:
+    cleaned = (url if isinstance(url, str) else "").strip().rstrip("/")
+    ok, reason = check_outbound_url(
+        cleaned,
+        block_private=os.getenv("CARDDAV_BLOCK_PRIVATE_IPS", "false").lower() == "true",
+    )
+    if not ok:
+        raise ValueError(f"Rejected CardDAV URL: {reason}")
+    return cleaned
+
+
+def _carddav_base_url(cfg: Dict) -> str:
+    return _validate_carddav_url(cfg.get("url") or "")
+
+
+def _normalize_contact(contact: Dict) -> Dict:
+    emails = []
+    for e in contact.get("emails") or ([] if not contact.get("email") else [contact.get("email")]):
+        e = str(e or "").strip()
+        if e and e not in emails:
+            emails.append(e)
+    phones = []
+    for p in contact.get("phones") or ([] if not contact.get("phone") else [contact.get("phone")]):
+        p = str(p or "").strip()
+        if p and p not in phones:
+            phones.append(p)
+    name = str(contact.get("name") or "").strip()
+    if not name and emails:
+        name = emails[0].split("@")[0]
+    address = str(contact.get("address") or "").strip()
+    return {
+        "uid": str(contact.get("uid") or uuid.uuid4()),
+        "name": name,
+        "emails": emails,
+        "phones": phones,
+        "address": address,
+    }
+
+
+def _load_local_contacts() -> List[Dict]:
+    try:
+        if not LOCAL_CONTACTS_FILE.exists():
+            return []
+        data = json.loads(LOCAL_CONTACTS_FILE.read_text(encoding="utf-8"))
+        rows = data.get("contacts", data) if isinstance(data, dict) else data
+        return [_normalize_contact(c) for c in (rows or []) if isinstance(c, dict)]
+    except Exception as e:
+        logger.error(f"Failed to load local contacts: {e}")
+        return []
+
+
+def _save_local_contacts(contacts: List[Dict]) -> None:
+    from core.atomic_io import atomic_write_json
+    DATA_DIR.mkdir(parents=True, exist_ok=True)
+    atomic_write_json(str(LOCAL_CONTACTS_FILE), {"contacts": [_normalize_contact(c) for c in contacts]}, indent=2)
+    _contact_cache["contacts"] = [_normalize_contact(c) for c in contacts]
+    _contact_cache["fetched_at"] = datetime.utcnow()
+
+
+# ── vCard parsing ──
+
+def _vunesc(value: str) -> str:
+    """Reverse _vesc() — turn escaped vCard text back into the raw value.
+    Order matters: handle \\n/\\, /\\; first, backslash-unescape last."""
+    if not value:
+        return value
+    out = []
+    i = 0
+    while i < len(value):
+        ch = value[i]
+        if ch == "\\" and i + 1 < len(value):
+            nxt = value[i + 1]
+            if nxt in ("n", "N"):
+                out.append("\n")
+            elif nxt in (",", ";", "\\"):
+                out.append(nxt)
+            else:
+                out.append(nxt)
+            i += 2
+        else:
+            out.append(ch)
+            i += 1
+    return "".join(out)
+
+
+def _parse_vcards(text: str) -> List[Dict]:
+    """Parse a stream of vCards into dicts with name, email, phone."""
+    # Unfold RFC 6350 3.2 line folding first: a CRLF/LF followed by a single
+    # space or tab is a continuation of the previous logical line. Real
+    # CardDAV servers (Radicale, iCloud, Apple/Google) fold long EMAIL / FN /
+    # PHOTO lines, and splitting on raw newlines without unfolding dropped the
+    # continuation (e.g. "...@example\n .com" lost the ".com"), truncating the
+    # email/name.
+    text = re.sub(r"\r\n[ \t]", "", text or "")
+    text = re.sub(r"\n[ \t]", "", text)
+    contacts = []
+    for block in re.split(r"BEGIN:VCARD", text):
+        if not block.strip():
+            continue
+        contact = {"name": "", "emails": [], "phones": [], "uid": "", "address": ""}
+        for line in block.split("\n"):
+            line = line.strip()
+            # Strip an optional RFC 6350 group prefix (e.g. "item1.EMAIL;...")
+            # that Apple Contacts / iCloud / many CardDAV servers emit by
+            # default — without this the property-name checks below miss those
+            # lines and silently drop the email / phone. The group token only
+            # precedes the property name, so it is safe to strip for matching
+            # and value extraction, and a no-op for non-grouped lines.
+            name_part = re.sub(r"^[A-Za-z0-9-]+\.", "", line, count=1)
+            if name_part.startswith("FN:") or name_part.startswith("FN;"):
+                contact["name"] = _vunesc(name_part.split(":", 1)[1]) if ":" in name_part else ""
+            elif name_part.startswith("EMAIL"):
+                # Handle EMAIL:foo@bar OR EMAIL;TYPE=...:foo@bar OR EMAIL;PREF=1:foo@bar
+                if ":" in name_part:
+                    email_addr = _vunesc(name_part.split(":", 1)[1])
+                    if email_addr and email_addr not in contact["emails"]:
+                        contact["emails"].append(email_addr)
+            elif name_part.startswith("TEL"):
+                if ":" in name_part:
+                    phone = _vunesc(name_part.split(":", 1)[1])
+                    if phone and phone not in contact["phones"]:
+                        contact["phones"].append(phone)
+            elif name_part.startswith("ADR"):
+                # vCard ADR is 7 semicolon-separated components:
+                # post-office-box;extended-address;street;locality;region;postal-code;country.
+                # Recover a human-readable string by joining non-empty
+                # components with ", ".
+                if ":" in name_part:
+                    raw = name_part.split(":", 1)[1]
+                    parts = [_vunesc(p).strip() for p in raw.split(";")]
+                    contact["address"] = ", ".join(p for p in parts if p)
+            elif name_part.startswith("UID:"):
+                contact["uid"] = _vunesc(name_part[4:])
+        if contact["name"] or contact["emails"]:
+            contacts.append(contact)
+    return contacts
+
+
+def _vesc(value: str) -> str:
+    """Escape a vCard property VALUE per RFC 6350 §3.4: backslash, comma,
+    semicolon, and newlines. Without this, a name like 'Sekisui House,Ltd'
+    or any value containing a newline produces a malformed vCard (broken
+    N/FN fields) or could inject arbitrary properties."""
+    return (
+        (value or "")
+        .replace("\\", "\\\\")
+        .replace("\n", "\\n")
+        .replace("\r", "")
+        .replace(",", "\\,")
+        .replace(";", "\\;")
+    )
+
+
+def _build_vcard(name: str, email: str, uid: Optional[str] = None,
+                 emails: Optional[List[str]] = None,
+                 phones: Optional[List[str]] = None,
+                 address: Optional[str] = None) -> str:
+    """Build a vCard. Accepts either a single `email` (legacy callers) or
+    full `emails`/`phones` lists (edit path). The first email is marked
+    PREF=1. All values are RFC-6350-escaped."""
+    if not uid:
+        uid = str(uuid.uuid4())
+    # Normalize email lists — `email` arg is a convenience for single-email
+    # creation; `emails` (if given) is authoritative.
+    email_list = [e.strip() for e in (emails if emails is not None else ([email] if email else [])) if e and e.strip()]
+    phone_list = [p.strip() for p in (phones or []) if p and p.strip()]
+    # Try to split name into first/last
+    parts = name.strip().split()
+    if len(parts) >= 2:
+        first = parts[0]
+        last = " ".join(parts[1:])
+    else:
+        first = name
+        last = ""
+    # N field is structured (5 components separated by ';') — escape each
+    # component individually so a comma in the name doesn't split it.
+    n_field = f"{_vesc(last)};{_vesc(first)};;;"
+    lines = [
+        "BEGIN:VCARD",
+        "VERSION:4.0",
+        f"UID:{_vesc(uid)}",
+        f"FN:{_vesc(name)}",
+        f"N:{n_field}",
+    ]
+    for i, em in enumerate(email_list):
+        # First email is the preferred one.
+        lines.append(f"EMAIL;PREF=1:{_vesc(em)}" if i == 0 else f"EMAIL:{_vesc(em)}")
+    for ph in phone_list:
+        lines.append(f"TEL:{_vesc(ph)}")
+    # Address: stuff the whole human-readable string into the street
+    # component of ADR. vCard ADR has 7 semicolon-separated components:
+    # post-office-box;extended-address;street;locality;region;postal-code;country.
+    addr = (address or "").strip()
+    if addr:
+        lines.append(f"ADR:;;{_vesc(addr)};;;;")
+    lines.append("END:VCARD")
+    return "\r\n".join(lines) + "\r\n"
+
+
+# ── In-memory cache ──
+
+_contact_cache = {"contacts": [], "fetched_at": None}
+
+
+def _abs_url(href: str) -> str:
+    """Combine a multistatus <href> (an absolute path like
+    /user/contacts/x.vcf) with the configured CardDAV server origin so we
+    get a fully-qualified URL to PUT/DELETE. Absolute hrefs are accepted only
+    for the configured origin; a cross-origin href is treated as a path on the
+    configured server so a malicious CardDAV response cannot redirect later
+    writes/deletes to cloud metadata or another host."""
+    cfg = _get_carddav_config()
+    base = _carddav_base_url(cfg)
+    base_p = urlparse(base)
+    joined = urljoin(base.rstrip("/") + "/", href or "")
+    joined_p = urlparse(joined)
+    if (joined_p.scheme, joined_p.netloc) != (base_p.scheme, base_p.netloc):
+        joined = urlunparse((base_p.scheme, base_p.netloc, joined_p.path or "/", "", joined_p.query, ""))
+    return _validate_carddav_url(joined)
+
+
+# CardDAV REPORT body — pull every card's etag + raw vCard in ONE request,
+# alongside the resource href. Lets us map each contact's UID to the real
+# server resource path (which is NOT always <uid>.vcf for contacts created
+# by other clients).
+_ADDRESSBOOK_QUERY = (
+    '<?xml version="1.0" encoding="utf-8"?>'
+    '<C:addressbook-query xmlns:D="DAV:" xmlns:C="urn:ietf:params:xml:ns:carddav">'
+    '<D:prop><D:getetag/><C:address-data/></D:prop>'
+    '<C:filter/>'
+    '</C:addressbook-query>'
+)
+
+
+def _fetch_via_report(cfg, auth):
+    """Try a CardDAV REPORT addressbook-query — returns contacts WITH an
+    `href` field, or None if the server doesn't support it / errors."""
+    from defusedxml import ElementTree as ET
+    try:
+        r = httpx.request(
+            "REPORT", cfg["url"],
+            content=_ADDRESSBOOK_QUERY.encode("utf-8"),
+            headers={"Content-Type": "application/xml; charset=utf-8", "Depth": "1"},
+            auth=auth, timeout=10,
+        )
+        if r.status_code not in (207, 200):
+            return None
+        root = ET.fromstring(r.text)
+        ns = {"D": "DAV:", "C": "urn:ietf:params:xml:ns:carddav"}
+        out = []
+        for resp in root.findall("D:response", ns):
+            href_el = resp.find("D:href", ns)
+            data_el = resp.find(".//C:address-data", ns)
+            if href_el is None or data_el is None or not (data_el.text or "").strip():
+                continue
+            parsed = _parse_vcards(data_el.text)
+            if not parsed:
+                continue
+            c = parsed[0]
+            c["href"] = href_el.text.strip()
+            out.append(c)
+        # If the REPORT parsed to ZERO contacts, don't trust it — some
+        # CardDAV servers treat an empty <filter/> as "match nothing" and
+        # return a valid-but-empty 207. Return None so the caller falls
+        # back to the plain GET (which lists everything). A genuinely empty
+        # address book just costs one extra GET that also returns nothing.
+        if not out:
+            return None
+        return out
+    except Exception as e:
+        logger.warning(f"CardDAV REPORT failed, falling back to GET: {e}")
+        return None
+
+
+def _fetch_contacts(force=False):
+    """Fetch all contacts. Uses CardDAV when configured, otherwise local JSON."""
+    if not force and _contact_cache["fetched_at"]:
+        age = (datetime.utcnow() - _contact_cache["fetched_at"]).total_seconds()
+        if age < 60:
+            return _contact_cache["contacts"]
+
+    cfg = _get_carddav_config()
+    if not _carddav_configured(cfg):
+        contacts = _load_local_contacts()
+        _contact_cache["contacts"] = contacts
+        _contact_cache["fetched_at"] = datetime.utcnow()
+        return contacts
+
+    try:
+        cfg["url"] = _carddav_base_url(cfg)
+        auth = None
+        if cfg["username"]:
+            auth = (cfg["username"], cfg["password"])
+        # Preferred path: REPORT gives us hrefs for reliable edit/delete.
+        contacts = _fetch_via_report(cfg, auth)
+        if contacts is None:
+            # Fallback: plain GET, concatenated vCards, no hrefs.
+            r = httpx.get(cfg["url"], auth=auth, timeout=10)
+            if r.status_code != 200:
+                logger.warning(f"CardDAV returned {r.status_code}")
+                return _contact_cache["contacts"]
+            contacts = _parse_vcards(r.text)
+        _contact_cache["contacts"] = contacts
+        _contact_cache["fetched_at"] = datetime.utcnow()
+        return contacts
+    except Exception as e:
+        logger.error(f"Failed to fetch contacts: {e}")
+        return _contact_cache["contacts"]
+
+
+def _resolve_resource_url(uid: str) -> str:
+    """Map a contact UID to its real CardDAV resource URL. Uses the href
+    captured during fetch when available (handles contacts whose filename
+    != UID); falls back to the <uid>.vcf guess for app-created contacts or
+    when no href is known."""
+    def _lookup():
+        for c in _contact_cache.get("contacts", []):
+            if c.get("uid") == uid and c.get("href"):
+                return _abs_url(c["href"])
+        return None
+    found = _lookup()
+    if found:
+        return found
+    # Not in cache (or no href) — refresh once and retry before guessing.
+    try:
+        _fetch_contacts(force=True)
+    except Exception:
+        pass
+    return _lookup() or _vcard_url(uid)
+
+
+def _create_contact(name: str, email: str = "", address: str = "", phones: Optional[List[str]] = None) -> bool:
+    """Add a new contact via CardDAV or local contacts."""
+    email = (email or "").strip()
+    phone_list = [str(p or "").strip() for p in (phones or []) if str(p or "").strip()]
+    cfg = _get_carddav_config()
+    if not _carddav_configured(cfg):
+        contacts = _load_local_contacts()
+        email_l = email.lower()
+        for c in contacts:
+            if email_l and email_l in [e.lower() for e in c.get("emails", [])]:
+                return True
+            if phone_list and any(p in (c.get("phones") or []) for p in phone_list):
+                return True
+        contacts.append(_normalize_contact({
+            "name": name,
+            "emails": [email] if email else [],
+            "phones": phone_list,
+            "address": address,
+        }))
+        _save_local_contacts(contacts)
+        return True
+
+    contact_uid = str(uuid.uuid4())
+    vcard = _build_vcard(name, email, contact_uid, address=address, phones=phone_list)
+    try:
+        url = _carddav_base_url(cfg) + "/" + contact_uid + ".vcf"
+        auth = None
+        if cfg["username"]:
+            auth = (cfg["username"], cfg["password"])
+        r = httpx.put(
+            url,
+            data=vcard.encode("utf-8"),
+            headers={"Content-Type": "text/vcard; charset=utf-8"},
+            auth=auth,
+            timeout=10,
+        )
+        if r.status_code in (200, 201, 204):
+            # Invalidate cache
+            _contact_cache["fetched_at"] = None
+            return True
+        logger.warning(f"CardDAV PUT returned {r.status_code}: {r.text[:200]}")
+        return False
+    except Exception as e:
+        logger.error(f"Failed to create contact: {e}")
+        return False
+
+
+def _vcard_url(uid: str) -> str:
+    """The CardDAV resource URL for a given contact UID. The uid is URL-
+    encoded so a value containing '/', '..' or other path chars can't
+    escape the collection and target an arbitrary CardDAV resource."""
+    from urllib.parse import quote
+    cfg = _get_carddav_config()
+    return _carddav_base_url(cfg) + "/" + quote(uid, safe="") + ".vcf"
+
+
+def _import_vcards(text: str) -> Dict:
+    """Import a (possibly multi-card) .vcf blob. Each card is PUT to the
+    CardDAV server PRESERVING its full original content (ADR/ORG/photo/
+    etc.) — we don't rebuild it, just ensure it has VERSION + UID and
+    normalize line endings. Returns {imported, failed, total}."""
+    from urllib.parse import quote
+    cfg = _get_carddav_config()
+    if not cfg.get("url"):
+        parsed = _parse_vcards(text)
+        contacts = _load_local_contacts()
+        existing = {
+            e.lower()
+            for c in contacts
+            for e in (c.get("emails") or [])
+            if e
+        }
+        imported = 0
+        for c in parsed:
+            emails = [e for e in (c.get("emails") or []) if e]
+            if emails and any(e.lower() in existing for e in emails):
+                continue
+            contacts.append(_normalize_contact(c))
+            for e in emails:
+                existing.add(e.lower())
+            imported += 1
+        if imported:
+            _save_local_contacts(contacts)
+        return {"imported": imported, "failed": 0, "total": len(parsed)}
+    try:
+        base_url = _carddav_base_url(cfg)
+    except ValueError as e:
+        logger.warning("CardDAV import URL rejected: %s", e)
+        return {"imported": 0, "failed": 0, "total": 0, "error": str(e)}
+    auth = (cfg["username"], cfg["password"]) if cfg["username"] else None
+    # Split into individual cards. re.split drops the BEGIN line, so we
+    # re-add it. Normalize CRLF.
+    raw = (text or "").replace("\r\n", "\n").replace("\r", "\n")
+    blocks = []
+    for chunk in raw.split("BEGIN:VCARD"):
+        chunk = chunk.strip()
+        if not chunk:
+            continue
+        # Trim anything after END:VCARD (defensive).
+        end = chunk.upper().find("END:VCARD")
+        body = chunk[: end + len("END:VCARD")] if end != -1 else chunk
+        blocks.append("BEGIN:VCARD\n" + body)
+    imported = 0
+    failed = 0
+    for block in blocks:
+        # Extract or assign a UID.
+        m = re.search(r"^UID:(.+)$", block, re.MULTILINE)
+        uid = (m.group(1).strip() if m else "") or str(uuid.uuid4())
+        if not m:
+            # Inject a UID right after the VERSION line (or after BEGIN).
+            if re.search(r"^VERSION:", block, re.MULTILINE):
+                block = re.sub(r"(^VERSION:.*$)", r"\1\nUID:" + uid, block, count=1, flags=re.MULTILINE)
+            else:
+                block = block.replace("BEGIN:VCARD", f"BEGIN:VCARD\nVERSION:4.0\nUID:{uid}", 1)
+        elif not re.search(r"^VERSION:", block, re.MULTILINE):
+            block = block.replace("BEGIN:VCARD", "BEGIN:VCARD\nVERSION:4.0", 1)
+        vcard = block.replace("\n", "\r\n") + "\r\n"
+        url = base_url + "/" + quote(uid, safe="") + ".vcf"
+        try:
+            r = httpx.put(
+                url, data=vcard.encode("utf-8"),
+                headers={"Content-Type": "text/vcard; charset=utf-8"},
+                auth=auth, timeout=15,
+            )
+            if r.status_code in (200, 201, 204):
+                imported += 1
+            else:
+                failed += 1
+                logger.warning(f"Import PUT {uid} returned {r.status_code}: {r.text[:120]}")
+        except Exception as e:
+            failed += 1
+            logger.error(f"Import PUT {uid} failed: {e}")
+    if imported:
+        _contact_cache["fetched_at"] = None
+    return {"imported": imported, "failed": failed, "total": len(blocks)}
+
+
+def _import_csv_contacts(text: str) -> Dict:
+    """Import contacts from CSV. Supports common headers:
+    name/full_name/display_name, email/email_address/e-mail, phone/tel.
+    Falls back to first columns as name,email,phone when no headers exist."""
+    raw = (text or "").strip()
+    if not raw:
+        return {"imported": 0, "failed": 0, "total": 0, "error": "No CSV data found"}
+
+    try:
+        sample = raw[:2048]
+        dialect = csv.Sniffer().sniff(sample)
+    except Exception:
+        dialect = csv.excel
+
+    stream = io.StringIO(raw)
+    try:
+        has_header = csv.Sniffer().has_header(raw[:2048])
+    except Exception:
+        has_header = True
+
+    rows = []
+    if has_header:
+        reader = csv.DictReader(stream, dialect=dialect)
+        for row in reader:
+            lowered = {str(k or "").strip().lower(): (v or "").strip() for k, v in row.items()}
+            name = (
+                lowered.get("name") or lowered.get("full name") or lowered.get("full_name")
+                or lowered.get("display name") or lowered.get("display_name")
+                or lowered.get("fn") or ""
+            )
+            email = (
+                lowered.get("email") or lowered.get("email address")
+                or lowered.get("email_address") or lowered.get("e-mail")
+                or lowered.get("mail") or ""
+            )
+            phone = lowered.get("phone") or lowered.get("telephone") or lowered.get("tel") or ""
+            rows.append((name, email, phone))
+    else:
+        stream.seek(0)
+        reader = csv.reader(stream, dialect=dialect)
+        for row in reader:
+            cols = [(c or "").strip() for c in row]
+            if not any(cols):
+                continue
+            rows.append((
+                cols[0] if len(cols) > 0 else "",
+                cols[1] if len(cols) > 1 else "",
+                cols[2] if len(cols) > 2 else "",
+            ))
+
+    imported = 0
+    failed = 0
+    total = 0
+    existing_emails = {
+        e.lower()
+        for c in _fetch_contacts()
+        for e in (c.get("emails") or [])
+        if e
+    }
+    for name, email, phone in rows:
+        email = (email or "").strip()
+        name = (name or "").strip() or (email.split("@")[0] if email else "")
+        if not email:
+            continue
+        total += 1
+        if email.lower() in existing_emails:
+            continue
+        ok = _create_contact(name, email)
+        if ok:
+            imported += 1
+            existing_emails.add(email.lower())
+            # If the CSV had a phone number, rewrite the just-created row
+            # through the richer update path so phone lands in CardDAV too.
+            if phone:
+                try:
+                    contacts = _fetch_contacts(force=True)
+                    created = next((c for c in contacts if email.lower() in [e.lower() for e in c.get("emails", [])]), None)
+                    if created and created.get("uid"):
+                        _update_contact(created["uid"], name, [email], [phone])
+                except Exception:
+                    pass
+        else:
+            failed += 1
+
+    if imported:
+        _contact_cache["fetched_at"] = None
+    return {"imported": imported, "failed": failed, "total": total}
+
+
+def _contacts_to_vcf(contacts: List[Dict]) -> str:
+    return "".join(
+        _build_vcard(
+            c.get("name") or ((c.get("emails") or [""])[0].split("@")[0] if c.get("emails") else "Contact"),
+            "",
+            uid=c.get("uid") or str(uuid.uuid4()),
+            emails=c.get("emails") or [],
+            phones=c.get("phones") or [],
+        )
+        for c in contacts
+    )
+
+
+def _contacts_to_csv(contacts: List[Dict]) -> str:
+    out = io.StringIO()
+    writer = csv.writer(out)
+    writer.writerow(["name", "email", "phone"])
+    for c in contacts:
+        emails = c.get("emails") or [""]
+        phones = c.get("phones") or [""]
+        max_len = max(len(emails), len(phones), 1)
+        for i in range(max_len):
+            writer.writerow([
+                c.get("name") or "",
+                emails[i] if i < len(emails) else "",
+                phones[i] if i < len(phones) else "",
+            ])
+    return out.getvalue()
+
+
+def _update_contact(uid: str, name: str, emails: List[str], phones: List[str], address: str = "") -> bool:
+    """Rewrite an existing contact via CardDAV or local contacts."""
+    cfg = _get_carddav_config()
+    if not _carddav_configured(cfg):
+        contacts = _load_local_contacts()
+        found = False
+        out = []
+        for c in contacts:
+            if c.get("uid") == uid:
+                # Preserve existing address when caller passes "" (only
+                # updating name/emails/phones, not touching address).
+                addr = address if address else c.get("address", "")
+                out.append(_normalize_contact({"uid": uid, "name": name, "emails": emails, "phones": phones, "address": addr}))
+                found = True
+            else:
+                out.append(c)
+        if not found:
+            out.append(_normalize_contact({"uid": uid, "name": name, "emails": emails, "phones": phones, "address": address}))
+        _save_local_contacts(out)
+        return True
+
+    vcard = _build_vcard(name, "", uid=uid, emails=emails, phones=phones, address=address)
+    # Use the real resource href (handles externally-created contacts whose
+    # filename != UID); falls back to the <uid>.vcf guess.
+    try:
+        url = _resolve_resource_url(uid)
+        auth = (cfg["username"], cfg["password"]) if cfg["username"] else None
+        r = httpx.put(
+            url,
+            data=vcard.encode("utf-8"),
+            headers={"Content-Type": "text/vcard; charset=utf-8"},
+            auth=auth,
+            timeout=10,
+        )
+        if r.status_code in (200, 201, 204):
+            _contact_cache["fetched_at"] = None
+            return True
+        logger.warning(f"CardDAV update PUT returned {r.status_code}: {r.text[:200]}")
+        return False
+    except Exception as e:
+        logger.error(f"Failed to update contact: {e}")
+        return False
+
+
+def _delete_contact(uid: str) -> bool:
+    """Delete a contact via CardDAV or local contacts."""
+    cfg = _get_carddav_config()
+    if not _carddav_configured(cfg):
+        contacts = _load_local_contacts()
+        remaining = [c for c in contacts if c.get("uid") != uid]
+        _save_local_contacts(remaining)
+        return True
+
+    try:
+        url = _resolve_resource_url(uid)
+        auth = (cfg["username"], cfg["password"]) if cfg["username"] else None
+        r = httpx.delete(url, auth=auth, timeout=10)
+        if r.status_code in (200, 204, 404):
+            # Invalidate cache so the next fetch sees the server truth.
+            _contact_cache["fetched_at"] = None
+            # Verify: force a fresh fetch and check the UID is actually gone.
+            # A 404 on the guessed URL ({uid}.vcf) can mean the contact
+            # lives at a different resource URL — the DELETE missed it but
+            # we'd silently report success. This check catches that.
+            fresh = _fetch_contacts(force=True)
+            still_there = any(c.get("uid") == uid for c in fresh)
+            if still_there:
+                logger.warning(
+                    f"CardDAV DELETE reported success for {uid} "
+                    f"but UID still present after re-fetch — "
+                    f"resource URL may differ from {redact_url(url)}"
+                )
+                return False
+            if r.status_code == 404:
+                logger.info(f"CardDAV DELETE 404 for {uid} — already gone")
+            return True
+        logger.warning(f"CardDAV DELETE returned {r.status_code}: {r.text[:200]}")
+        return False
+    except Exception as e:
+        logger.error(f"Failed to delete contact: {e}")
+        return False
+
+
+# ── Routes ──
+
+def setup_contacts_routes():
+    router = APIRouter(prefix="/api/contacts", tags=["contacts"])
+
+    @router.get("/list")
+    async def list_contacts(_admin: str = Depends(require_admin)):
+        """List all contacts."""
+        contacts = _fetch_contacts()
+        return {"contacts": contacts, "count": len(contacts)}
+
+    @router.get("/search")
+    async def search_contacts(q: str = Query(""), _admin: str = Depends(require_admin)):
+        """Search contacts by name or email. Returns up to 10 matches."""
+        contacts = _fetch_contacts()
+        if not q:
+            return {"results": []}
+        q_lower = q.lower()
+        results = []
+        for c in contacts:
+            if q_lower in c["name"].lower():
+                results.append(c)
+                continue
+            for em in c["emails"]:
+                if q_lower in em.lower():
+                    results.append(c)
+                    break
+        return {"results": results[:10]}
+
+    @router.post("/add")
+    async def add_contact(data: dict, _admin: str = Depends(require_admin)):
+        """Add a new contact."""
+        name = (data.get("name") or "").strip()
+        email = (data.get("email") or "").strip()
+        phone = (data.get("phone") or "").strip()
+        phones = [str(p or "").strip() for p in (data.get("phones") or []) if str(p or "").strip()]
+        if phone and phone not in phones:
+            phones.insert(0, phone)
+        address = (data.get("address") or "").strip()
+        if not name and email:
+            name = email.split("@")[0]
+        if not name and not email and not phones and not address:
+            return {"success": False, "error": "Name, email, phone, or address required"}
+        if not name:
+            name = email.split("@")[0] if email else (phones[0] if phones else "Contact")
+        contacts = _fetch_contacts()
+        for c in contacts:
+            if email and email.lower() in [e.lower() for e in c.get("emails", [])]:
+                return {"success": True, "message": "Already exists", "contact": c}
+            if phones and any(p in (c.get("phones") or []) for p in phones):
+                return {"success": True, "message": "Already exists", "contact": c}
+        create_params = inspect.signature(_create_contact).parameters
+        if "phones" in create_params:
+            ok = _create_contact(name, email, address, phones=phones)
+        elif len(create_params) >= 3:
+            ok = _create_contact(name, email, address)
+        else:
+            ok = _create_contact(name, email)
+        # If a phone was provided, do an immediate update to thread it
+        # through (the simple _create_contact signature only takes name +
+        # email + address; phones happen via update).
+        if ok and phones and "phones" not in create_params:
+            try:
+                fresh = _fetch_contacts(force=True)
+                created = next((c for c in fresh if name == c.get("name") and (not email or email in c.get("emails", []))), None)
+                if created:
+                    _update_contact(
+                        created["uid"], name,
+                        created.get("emails", []),
+                        phones,
+                        address,
+                    )
+            except Exception:
+                pass
+        return {"success": ok}
+
+    @router.post("/import")
+    async def import_vcf(data: dict, _admin: str = Depends(require_admin)):
+        """Import contacts from .vcf or CSV. Body: {"vcf": "..."} or {"csv": "..."}."""
+        # Coerce defensively: a non-string vcf/text/csv (e.g. a number or list
+        # in the JSON body) would otherwise reach .strip() and 500 with an
+        # AttributeError instead of degrading to a clean "no data" response.
+        text = str(data.get("vcf") or data.get("text") or "")
+        csv_text = str(data.get("csv") or "")
+        if text.strip():
+            if "BEGIN:VCARD" not in text.upper():
+                return {"success": False, "error": "No vCard data found"}
+            result = _import_vcards(text)
+        elif csv_text.strip():
+            result = _import_csv_contacts(csv_text)
+        else:
+            return {"success": False, "error": "No contact data found"}
+        result["success"] = result.get("imported", 0) > 0
+        return result
+
+    @router.get("/export")
+    async def export_contacts(
+        format: str = Query("vcf", pattern="^(vcf|csv)$"),
+        _admin: str = Depends(require_admin),
+    ):
+        """Export all contacts as vCard or CSV."""
+        contacts = _fetch_contacts(force=True)
+        if format == "csv":
+            content = _contacts_to_csv(contacts)
+            media_type = "text/csv; charset=utf-8"
+            filename = "odysseus-contacts.csv"
+        else:
+            content = _contacts_to_vcf(contacts)
+            media_type = "text/vcard; charset=utf-8"
+            filename = "odysseus-contacts.vcf"
+        return Response(
+            content=content,
+            media_type=media_type,
+            headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+        )
+
+    @router.get("/config")
+    async def get_config(_admin: str = Depends(require_admin)):
+        cfg = _get_carddav_config()
+        # Mask password
+        if cfg["password"]:
+            cfg["password"] = "***"
+        return cfg
+
+    @router.put("/config")
+    async def update_config(data: dict, _admin: str = Depends(require_admin)):
+        settings = _load_settings()
+        for key in ("carddav_url", "carddav_username", "carddav_password"):
+            if key in data:
+                if key == "carddav_url" and str(data[key] or "").strip():
+                    try:
+                        settings[key] = _validate_carddav_url(data[key])
+                    except ValueError as e:
+                        raise HTTPException(400, str(e))
+                else:
+                    value = data[key]
+                    if key == "carddav_password" and value:
+                        from src.secret_storage import encrypt
+                        value = encrypt(value)
+                    settings[key] = value
+        _save_settings(settings)
+        # Force re-fetch
+        _contact_cache["fetched_at"] = None
+        return {"success": True}
+
+    @router.delete("/clear")
+    async def clear_contacts(_admin: str = Depends(require_admin)):
+        """Clear all local contacts. If CardDAV is configured, only clears the local fallback cache."""
+        _save_local_contacts([])
+        return {"success": True}
+
+    # NOTE: the /{uid} routes are declared LAST so the literal paths above
+    # (/list, /search, /add, /config) win — otherwise PUT /config would
+    # match PUT /{uid} with uid="config".
+    @router.put("/{uid}")
+    async def edit_contact(uid: str, data: dict, _admin: str = Depends(require_admin)):
+        """Edit an existing contact — name / emails / phones / address."""
+        name = (data.get("name") or "").strip()
+        emails = data.get("emails")
+        phones = data.get("phones")
+        if emails is None and data.get("email"):
+            emails = [data["email"]]
+        emails = [e.strip() for e in (emails or []) if e and e.strip()]
+        phones = [p.strip() for p in (phones or []) if p and p.strip()]
+        address = (data.get("address") or "").strip()
+        if not name and not emails and not address:
+            return {"success": False, "error": "Name, email, or address required"}
+        if not name and emails:
+            name = emails[0].split("@")[0]
+        ok = _update_contact(uid, name, emails, phones, address)
+        return {"success": ok}
+
+    @router.delete("/{uid}")
+    async def delete_contact(uid: str, _admin: str = Depends(require_admin)):
+        """Delete a contact by UID."""
+        if not uid:
+            return {"success": False, "error": "UID required"}
+        ok = _delete_contact(uid)
+        return {"success": ok}
+
+    return router

routes/contacts_routes.py

@@ -1,882 +1,13 @@
-"""
-contacts_routes.py
+"""Backward-compat shim — canonical location is routes/contacts/contacts_routes.py.
 
-CardDAV contacts integration. Reads from local Radicale, supports
-search and adding new contacts.
+This module is replaced in ``sys.modules`` by the canonical module object so
+that ``import routes.contacts_routes``, ``from routes.contacts_routes import X``,
+``importlib.import_module("routes.contacts_routes")``, and string-targeted
+monkeypatches all operate on the same object the application actually uses.
 """
 
-import re
-import logging
-import uuid
-import json
-import csv
-import io
-import os
-import inspect
-import httpx
-from pathlib import Path
-from datetime import datetime
-from urllib.parse import urljoin, urlparse, urlunparse
+import sys as _sys
 
-from fastapi import APIRouter, Query, Depends, Response, HTTPException
-from typing import List, Dict, Optional
+from routes.contacts import contacts_routes as _canonical  # noqa: F401
 
-from core.middleware import require_admin
-from src.url_safety import check_outbound_url
-
-logger = logging.getLogger(__name__)
-
-from src.constants import DATA_DIR as _DATA_DIR, SETTINGS_FILE as _SETTINGS_FILE, CONTACTS_FILE as _CONTACTS_FILE
-DATA_DIR = Path(_DATA_DIR)
-SETTINGS_FILE = Path(_SETTINGS_FILE)
-LOCAL_CONTACTS_FILE = Path(_CONTACTS_FILE)
-
-
-def _load_settings():
-    if SETTINGS_FILE.exists():
-        return json.loads(SETTINGS_FILE.read_text(encoding="utf-8"))
-    return {}
-
-
-def _save_settings(settings):
-    from core.atomic_io import atomic_write_json
-    atomic_write_json(str(SETTINGS_FILE), settings, indent=2)
-
-
-def _get_carddav_config():
-    import os
-    settings = _load_settings()
-    password = settings.get("carddav_password", os.environ.get("CARDDAV_PASSWORD", ""))
-    if password and "carddav_password" in settings:
-        from src.secret_storage import decrypt
-        password = decrypt(password)
-    return {
-        "url": settings.get("carddav_url", os.environ.get("CARDDAV_URL", "")),
-        "username": settings.get("carddav_username", os.environ.get("CARDDAV_USERNAME", "")),
-        "password": password,
-    }
-
-
-def _carddav_configured(cfg: Optional[Dict] = None) -> bool:
-    cfg = cfg or _get_carddav_config()
-    return bool((cfg.get("url") or "").strip())
-
-
-def _validate_carddav_url(url: str) -> str:
-    cleaned = (url if isinstance(url, str) else "").strip().rstrip("/")
-    ok, reason = check_outbound_url(
-        cleaned,
-        block_private=os.getenv("CARDDAV_BLOCK_PRIVATE_IPS", "false").lower() == "true",
-    )
-    if not ok:
-        raise ValueError(f"Rejected CardDAV URL: {reason}")
-    return cleaned
-
-
-def _carddav_base_url(cfg: Dict) -> str:
-    return _validate_carddav_url(cfg.get("url") or "")
-
-
-def _normalize_contact(contact: Dict) -> Dict:
-    emails = []
-    for e in contact.get("emails") or ([] if not contact.get("email") else [contact.get("email")]):
-        e = str(e or "").strip()
-        if e and e not in emails:
-            emails.append(e)
-    phones = []
-    for p in contact.get("phones") or ([] if not contact.get("phone") else [contact.get("phone")]):
-        p = str(p or "").strip()
-        if p and p not in phones:
-            phones.append(p)
-    name = str(contact.get("name") or "").strip()
-    if not name and emails:
-        name = emails[0].split("@")[0]
-    address = str(contact.get("address") or "").strip()
-    return {
-        "uid": str(contact.get("uid") or uuid.uuid4()),
-        "name": name,
-        "emails": emails,
-        "phones": phones,
-        "address": address,
-    }
-
-
-def _load_local_contacts() -> List[Dict]:
-    try:
-        if not LOCAL_CONTACTS_FILE.exists():
-            return []
-        data = json.loads(LOCAL_CONTACTS_FILE.read_text(encoding="utf-8"))
-        rows = data.get("contacts", data) if isinstance(data, dict) else data
-        return [_normalize_contact(c) for c in (rows or []) if isinstance(c, dict)]
-    except Exception as e:
-        logger.error(f"Failed to load local contacts: {e}")
-        return []
-
-
-def _save_local_contacts(contacts: List[Dict]) -> None:
-    from core.atomic_io import atomic_write_json
-    DATA_DIR.mkdir(parents=True, exist_ok=True)
-    atomic_write_json(str(LOCAL_CONTACTS_FILE), {"contacts": [_normalize_contact(c) for c in contacts]}, indent=2)
-    _contact_cache["contacts"] = [_normalize_contact(c) for c in contacts]
-    _contact_cache["fetched_at"] = datetime.utcnow()
-
-
-# ── vCard parsing ──
-
-def _vunesc(value: str) -> str:
-    """Reverse _vesc() — turn escaped vCard text back into the raw value.
-    Order matters: handle \\n/\\, /\\; first, backslash-unescape last."""
-    if not value:
-        return value
-    out = []
-    i = 0
-    while i < len(value):
-        ch = value[i]
-        if ch == "\\" and i + 1 < len(value):
-            nxt = value[i + 1]
-            if nxt in ("n", "N"):
-                out.append("\n")
-            elif nxt in (",", ";", "\\"):
-                out.append(nxt)
-            else:
-                out.append(nxt)
-            i += 2
-        else:
-            out.append(ch)
-            i += 1
-    return "".join(out)
-
-
-def _parse_vcards(text: str) -> List[Dict]:
-    """Parse a stream of vCards into dicts with name, email, phone."""
-    contacts = []
-    for block in re.split(r"BEGIN:VCARD", text):
-        if not block.strip():
-            continue
-        contact = {"name": "", "emails": [], "phones": [], "uid": "", "address": ""}
-        for line in block.split("\n"):
-            line = line.strip()
-            # Strip an optional RFC 6350 group prefix (e.g. "item1.EMAIL;...")
-            # that Apple Contacts / iCloud / many CardDAV servers emit by
-            # default — without this the property-name checks below miss those
-            # lines and silently drop the email / phone. The group token only
-            # precedes the property name, so it is safe to strip for matching
-            # and value extraction, and a no-op for non-grouped lines.
-            name_part = re.sub(r"^[A-Za-z0-9-]+\.", "", line, count=1)
-            if name_part.startswith("FN:") or name_part.startswith("FN;"):
-                contact["name"] = _vunesc(name_part.split(":", 1)[1]) if ":" in name_part else ""
-            elif name_part.startswith("EMAIL"):
-                # Handle EMAIL:foo@bar OR EMAIL;TYPE=...:foo@bar OR EMAIL;PREF=1:foo@bar
-                if ":" in name_part:
-                    email_addr = _vunesc(name_part.split(":", 1)[1])
-                    if email_addr and email_addr not in contact["emails"]:
-                        contact["emails"].append(email_addr)
-            elif name_part.startswith("TEL"):
-                if ":" in name_part:
-                    phone = _vunesc(name_part.split(":", 1)[1])
-                    if phone and phone not in contact["phones"]:
-                        contact["phones"].append(phone)
-            elif name_part.startswith("ADR"):
-                # vCard ADR is 7 semicolon-separated components:
-                # post-office-box;extended-address;street;locality;region;postal-code;country.
-                # Recover a human-readable string by joining non-empty
-                # components with ", ".
-                if ":" in name_part:
-                    raw = name_part.split(":", 1)[1]
-                    parts = [_vunesc(p).strip() for p in raw.split(";")]
-                    contact["address"] = ", ".join(p for p in parts if p)
-            elif name_part.startswith("UID:"):
-                contact["uid"] = _vunesc(name_part[4:])
-        if contact["name"] or contact["emails"]:
-            contacts.append(contact)
-    return contacts
-
-
-def _vesc(value: str) -> str:
-    """Escape a vCard property VALUE per RFC 6350 §3.4: backslash, comma,
-    semicolon, and newlines. Without this, a name like 'Sekisui House,Ltd'
-    or any value containing a newline produces a malformed vCard (broken
-    N/FN fields) or could inject arbitrary properties."""
-    return (
-        (value or "")
-        .replace("\\", "\\\\")
-        .replace("\n", "\\n")
-        .replace("\r", "")
-        .replace(",", "\\,")
-        .replace(";", "\\;")
-    )
-
-
-def _build_vcard(name: str, email: str, uid: Optional[str] = None,
-                 emails: Optional[List[str]] = None,
-                 phones: Optional[List[str]] = None,
-                 address: Optional[str] = None) -> str:
-    """Build a vCard. Accepts either a single `email` (legacy callers) or
-    full `emails`/`phones` lists (edit path). The first email is marked
-    PREF=1. All values are RFC-6350-escaped."""
-    if not uid:
-        uid = str(uuid.uuid4())
-    # Normalize email lists — `email` arg is a convenience for single-email
-    # creation; `emails` (if given) is authoritative.
-    email_list = [e.strip() for e in (emails if emails is not None else ([email] if email else [])) if e and e.strip()]
-    phone_list = [p.strip() for p in (phones or []) if p and p.strip()]
-    # Try to split name into first/last
-    parts = name.strip().split()
-    if len(parts) >= 2:
-        first = parts[0]
-        last = " ".join(parts[1:])
-    else:
-        first = name
-        last = ""
-    # N field is structured (5 components separated by ';') — escape each
-    # component individually so a comma in the name doesn't split it.
-    n_field = f"{_vesc(last)};{_vesc(first)};;;"
-    lines = [
-        "BEGIN:VCARD",
-        "VERSION:4.0",
-        f"UID:{_vesc(uid)}",
-        f"FN:{_vesc(name)}",
-        f"N:{n_field}",
-    ]
-    for i, em in enumerate(email_list):
-        # First email is the preferred one.
-        lines.append(f"EMAIL;PREF=1:{_vesc(em)}" if i == 0 else f"EMAIL:{_vesc(em)}")
-    for ph in phone_list:
-        lines.append(f"TEL:{_vesc(ph)}")
-    # Address: stuff the whole human-readable string into the street
-    # component of ADR. vCard ADR has 7 semicolon-separated components:
-    # post-office-box;extended-address;street;locality;region;postal-code;country.
-    addr = (address or "").strip()
-    if addr:
-        lines.append(f"ADR:;;{_vesc(addr)};;;;")
-    lines.append("END:VCARD")
-    return "\r\n".join(lines) + "\r\n"
-
-
-# ── In-memory cache ──
-
-_contact_cache = {"contacts": [], "fetched_at": None}
-
-
-def _abs_url(href: str) -> str:
-    """Combine a multistatus <href> (an absolute path like
-    /user/contacts/x.vcf) with the configured CardDAV server origin so we
-    get a fully-qualified URL to PUT/DELETE. Absolute hrefs are accepted only
-    for the configured origin; a cross-origin href is treated as a path on the
-    configured server so a malicious CardDAV response cannot redirect later
-    writes/deletes to cloud metadata or another host."""
-    cfg = _get_carddav_config()
-    base = _carddav_base_url(cfg)
-    base_p = urlparse(base)
-    joined = urljoin(base.rstrip("/") + "/", href or "")
-    joined_p = urlparse(joined)
-    if (joined_p.scheme, joined_p.netloc) != (base_p.scheme, base_p.netloc):
-        joined = urlunparse((base_p.scheme, base_p.netloc, joined_p.path or "/", "", joined_p.query, ""))
-    return _validate_carddav_url(joined)
-
-
-# CardDAV REPORT body — pull every card's etag + raw vCard in ONE request,
-# alongside the resource href. Lets us map each contact's UID to the real
-# server resource path (which is NOT always <uid>.vcf for contacts created
-# by other clients).
-_ADDRESSBOOK_QUERY = (
-    '<?xml version="1.0" encoding="utf-8"?>'
-    '<C:addressbook-query xmlns:D="DAV:" xmlns:C="urn:ietf:params:xml:ns:carddav">'
-    '<D:prop><D:getetag/><C:address-data/></D:prop>'
-    '<C:filter/>'
-    '</C:addressbook-query>'
-)
-
-
-def _fetch_via_report(cfg, auth):
-    """Try a CardDAV REPORT addressbook-query — returns contacts WITH an
-    `href` field, or None if the server doesn't support it / errors."""
-    from defusedxml import ElementTree as ET
-    try:
-        r = httpx.request(
-            "REPORT", cfg["url"],
-            content=_ADDRESSBOOK_QUERY.encode("utf-8"),
-            headers={"Content-Type": "application/xml; charset=utf-8", "Depth": "1"},
-            auth=auth, timeout=10,
-        )
-        if r.status_code not in (207, 200):
-            return None
-        root = ET.fromstring(r.text)
-        ns = {"D": "DAV:", "C": "urn:ietf:params:xml:ns:carddav"}
-        out = []
-        for resp in root.findall("D:response", ns):
-            href_el = resp.find("D:href", ns)
-            data_el = resp.find(".//C:address-data", ns)
-            if href_el is None or data_el is None or not (data_el.text or "").strip():
-                continue
-            parsed = _parse_vcards(data_el.text)
-            if not parsed:
-                continue
-            c = parsed[0]
-            c["href"] = href_el.text.strip()
-            out.append(c)
-        # If the REPORT parsed to ZERO contacts, don't trust it — some
-        # CardDAV servers treat an empty <filter/> as "match nothing" and
-        # return a valid-but-empty 207. Return None so the caller falls
-        # back to the plain GET (which lists everything). A genuinely empty
-        # address book just costs one extra GET that also returns nothing.
-        if not out:
-            return None
-        return out
-    except Exception as e:
-        logger.warning(f"CardDAV REPORT failed, falling back to GET: {e}")
-        return None
-
-
-def _fetch_contacts(force=False):
-    """Fetch all contacts. Uses CardDAV when configured, otherwise local JSON."""
-    if not force and _contact_cache["fetched_at"]:
-        age = (datetime.utcnow() - _contact_cache["fetched_at"]).total_seconds()
-        if age < 60:
-            return _contact_cache["contacts"]
-
-    cfg = _get_carddav_config()
-    if not _carddav_configured(cfg):
-        contacts = _load_local_contacts()
-        _contact_cache["contacts"] = contacts
-        _contact_cache["fetched_at"] = datetime.utcnow()
-        return contacts
-
-    try:
-        cfg["url"] = _carddav_base_url(cfg)
-        auth = None
-        if cfg["username"]:
-            auth = (cfg["username"], cfg["password"])
-        # Preferred path: REPORT gives us hrefs for reliable edit/delete.
-        contacts = _fetch_via_report(cfg, auth)
-        if contacts is None:
-            # Fallback: plain GET, concatenated vCards, no hrefs.
-            r = httpx.get(cfg["url"], auth=auth, timeout=10)
-            if r.status_code != 200:
-                logger.warning(f"CardDAV returned {r.status_code}")
-                return _contact_cache["contacts"]
-            contacts = _parse_vcards(r.text)
-        _contact_cache["contacts"] = contacts
-        _contact_cache["fetched_at"] = datetime.utcnow()
-        return contacts
-    except Exception as e:
-        logger.error(f"Failed to fetch contacts: {e}")
-        return _contact_cache["contacts"]
-
-
-def _resolve_resource_url(uid: str) -> str:
-    """Map a contact UID to its real CardDAV resource URL. Uses the href
-    captured during fetch when available (handles contacts whose filename
-    != UID); falls back to the <uid>.vcf guess for app-created contacts or
-    when no href is known."""
-    def _lookup():
-        for c in _contact_cache.get("contacts", []):
-            if c.get("uid") == uid and c.get("href"):
-                return _abs_url(c["href"])
-        return None
-    found = _lookup()
-    if found:
-        return found
-    # Not in cache (or no href) — refresh once and retry before guessing.
-    try:
-        _fetch_contacts(force=True)
-    except Exception:
-        pass
-    return _lookup() or _vcard_url(uid)
-
-
-def _create_contact(name: str, email: str, address: str = "") -> bool:
-    """Add a new contact via CardDAV or local contacts."""
-    cfg = _get_carddav_config()
-    if not _carddav_configured(cfg):
-        contacts = _load_local_contacts()
-        email_l = (email or "").strip().lower()
-        for c in contacts:
-            if email_l and email_l in [e.lower() for e in c.get("emails", [])]:
-                return True
-        contacts.append(_normalize_contact({"name": name, "emails": [email], "address": address}))
-        _save_local_contacts(contacts)
-        return True
-
-    contact_uid = str(uuid.uuid4())
-    vcard = _build_vcard(name, email, contact_uid, address=address)
-    try:
-        url = _carddav_base_url(cfg) + "/" + contact_uid + ".vcf"
-        auth = None
-        if cfg["username"]:
-            auth = (cfg["username"], cfg["password"])
-        r = httpx.put(
-            url,
-            data=vcard.encode("utf-8"),
-            headers={"Content-Type": "text/vcard; charset=utf-8"},
-            auth=auth,
-            timeout=10,
-        )
-        if r.status_code in (200, 201, 204):
-            # Invalidate cache
-            _contact_cache["fetched_at"] = None
-            return True
-        logger.warning(f"CardDAV PUT returned {r.status_code}: {r.text[:200]}")
-        return False
-    except Exception as e:
-        logger.error(f"Failed to create contact: {e}")
-        return False
-
-
-def _vcard_url(uid: str) -> str:
-    """The CardDAV resource URL for a given contact UID. The uid is URL-
-    encoded so a value containing '/', '..' or other path chars can't
-    escape the collection and target an arbitrary CardDAV resource."""
-    from urllib.parse import quote
-    cfg = _get_carddav_config()
-    return _carddav_base_url(cfg) + "/" + quote(uid, safe="") + ".vcf"
-
-
-def _import_vcards(text: str) -> Dict:
-    """Import a (possibly multi-card) .vcf blob. Each card is PUT to the
-    CardDAV server PRESERVING its full original content (ADR/ORG/photo/
-    etc.) — we don't rebuild it, just ensure it has VERSION + UID and
-    normalize line endings. Returns {imported, failed, total}."""
-    from urllib.parse import quote
-    cfg = _get_carddav_config()
-    if not cfg.get("url"):
-        parsed = _parse_vcards(text)
-        contacts = _load_local_contacts()
-        existing = {
-            e.lower()
-            for c in contacts
-            for e in (c.get("emails") or [])
-            if e
-        }
-        imported = 0
-        for c in parsed:
-            emails = [e for e in (c.get("emails") or []) if e]
-            if emails and any(e.lower() in existing for e in emails):
-                continue
-            contacts.append(_normalize_contact(c))
-            for e in emails:
-                existing.add(e.lower())
-            imported += 1
-        if imported:
-            _save_local_contacts(contacts)
-        return {"imported": imported, "failed": 0, "total": len(parsed)}
-    try:
-        base_url = _carddav_base_url(cfg)
-    except ValueError as e:
-        logger.warning("CardDAV import URL rejected: %s", e)
-        return {"imported": 0, "failed": 0, "total": 0, "error": str(e)}
-    auth = (cfg["username"], cfg["password"]) if cfg["username"] else None
-    # Split into individual cards. re.split drops the BEGIN line, so we
-    # re-add it. Normalize CRLF.
-    raw = (text or "").replace("\r\n", "\n").replace("\r", "\n")
-    blocks = []
-    for chunk in raw.split("BEGIN:VCARD"):
-        chunk = chunk.strip()
-        if not chunk:
-            continue
-        # Trim anything after END:VCARD (defensive).
-        end = chunk.upper().find("END:VCARD")
-        body = chunk[: end + len("END:VCARD")] if end != -1 else chunk
-        blocks.append("BEGIN:VCARD\n" + body)
-    imported = 0
-    failed = 0
-    for block in blocks:
-        # Extract or assign a UID.
-        m = re.search(r"^UID:(.+)$", block, re.MULTILINE)
-        uid = (m.group(1).strip() if m else "") or str(uuid.uuid4())
-        if not m:
-            # Inject a UID right after the VERSION line (or after BEGIN).
-            if re.search(r"^VERSION:", block, re.MULTILINE):
-                block = re.sub(r"(^VERSION:.*$)", r"\1\nUID:" + uid, block, count=1, flags=re.MULTILINE)
-            else:
-                block = block.replace("BEGIN:VCARD", f"BEGIN:VCARD\nVERSION:4.0\nUID:{uid}", 1)
-        elif not re.search(r"^VERSION:", block, re.MULTILINE):
-            block = block.replace("BEGIN:VCARD", "BEGIN:VCARD\nVERSION:4.0", 1)
-        vcard = block.replace("\n", "\r\n") + "\r\n"
-        url = base_url + "/" + quote(uid, safe="") + ".vcf"
-        try:
-            r = httpx.put(
-                url, data=vcard.encode("utf-8"),
-                headers={"Content-Type": "text/vcard; charset=utf-8"},
-                auth=auth, timeout=15,
-            )
-            if r.status_code in (200, 201, 204):
-                imported += 1
-            else:
-                failed += 1
-                logger.warning(f"Import PUT {uid} returned {r.status_code}: {r.text[:120]}")
-        except Exception as e:
-            failed += 1
-            logger.error(f"Import PUT {uid} failed: {e}")
-    if imported:
-        _contact_cache["fetched_at"] = None
-    return {"imported": imported, "failed": failed, "total": len(blocks)}
-
-
-def _import_csv_contacts(text: str) -> Dict:
-    """Import contacts from CSV. Supports common headers:
-    name/full_name/display_name, email/email_address/e-mail, phone/tel.
-    Falls back to first columns as name,email,phone when no headers exist."""
-    raw = (text or "").strip()
-    if not raw:
-        return {"imported": 0, "failed": 0, "total": 0, "error": "No CSV data found"}
-
-    try:
-        sample = raw[:2048]
-        dialect = csv.Sniffer().sniff(sample)
-    except Exception:
-        dialect = csv.excel
-
-    stream = io.StringIO(raw)
-    try:
-        has_header = csv.Sniffer().has_header(raw[:2048])
-    except Exception:
-        has_header = True
-
-    rows = []
-    if has_header:
-        reader = csv.DictReader(stream, dialect=dialect)
-        for row in reader:
-            lowered = {str(k or "").strip().lower(): (v or "").strip() for k, v in row.items()}
-            name = (
-                lowered.get("name") or lowered.get("full name") or lowered.get("full_name")
-                or lowered.get("display name") or lowered.get("display_name")
-                or lowered.get("fn") or ""
-            )
-            email = (
-                lowered.get("email") or lowered.get("email address")
-                or lowered.get("email_address") or lowered.get("e-mail")
-                or lowered.get("mail") or ""
-            )
-            phone = lowered.get("phone") or lowered.get("telephone") or lowered.get("tel") or ""
-            rows.append((name, email, phone))
-    else:
-        stream.seek(0)
-        reader = csv.reader(stream, dialect=dialect)
-        for row in reader:
-            cols = [(c or "").strip() for c in row]
-            if not any(cols):
-                continue
-            rows.append((
-                cols[0] if len(cols) > 0 else "",
-                cols[1] if len(cols) > 1 else "",
-                cols[2] if len(cols) > 2 else "",
-            ))
-
-    imported = 0
-    failed = 0
-    total = 0
-    existing_emails = {
-        e.lower()
-        for c in _fetch_contacts()
-        for e in (c.get("emails") or [])
-        if e
-    }
-    for name, email, phone in rows:
-        email = (email or "").strip()
-        name = (name or "").strip() or (email.split("@")[0] if email else "")
-        if not email:
-            continue
-        total += 1
-        if email.lower() in existing_emails:
-            continue
-        ok = _create_contact(name, email)
-        if ok:
-            imported += 1
-            existing_emails.add(email.lower())
-            # If the CSV had a phone number, rewrite the just-created row
-            # through the richer update path so phone lands in CardDAV too.
-            if phone:
-                try:
-                    contacts = _fetch_contacts(force=True)
-                    created = next((c for c in contacts if email.lower() in [e.lower() for e in c.get("emails", [])]), None)
-                    if created and created.get("uid"):
-                        _update_contact(created["uid"], name, [email], [phone])
-                except Exception:
-                    pass
-        else:
-            failed += 1
-
-    if imported:
-        _contact_cache["fetched_at"] = None
-    return {"imported": imported, "failed": failed, "total": total}
-
-
-def _contacts_to_vcf(contacts: List[Dict]) -> str:
-    return "".join(
-        _build_vcard(
-            c.get("name") or ((c.get("emails") or [""])[0].split("@")[0] if c.get("emails") else "Contact"),
-            "",
-            uid=c.get("uid") or str(uuid.uuid4()),
-            emails=c.get("emails") or [],
-            phones=c.get("phones") or [],
-        )
-        for c in contacts
-    )
-
-
-def _contacts_to_csv(contacts: List[Dict]) -> str:
-    out = io.StringIO()
-    writer = csv.writer(out)
-    writer.writerow(["name", "email", "phone"])
-    for c in contacts:
-        emails = c.get("emails") or [""]
-        phones = c.get("phones") or [""]
-        max_len = max(len(emails), len(phones), 1)
-        for i in range(max_len):
-            writer.writerow([
-                c.get("name") or "",
-                emails[i] if i < len(emails) else "",
-                phones[i] if i < len(phones) else "",
-            ])
-    return out.getvalue()
-
-
-def _update_contact(uid: str, name: str, emails: List[str], phones: List[str], address: str = "") -> bool:
-    """Rewrite an existing contact via CardDAV or local contacts."""
-    cfg = _get_carddav_config()
-    if not _carddav_configured(cfg):
-        contacts = _load_local_contacts()
-        found = False
-        out = []
-        for c in contacts:
-            if c.get("uid") == uid:
-                # Preserve existing address when caller passes "" (only
-                # updating name/emails/phones, not touching address).
-                addr = address if address else c.get("address", "")
-                out.append(_normalize_contact({"uid": uid, "name": name, "emails": emails, "phones": phones, "address": addr}))
-                found = True
-            else:
-                out.append(c)
-        if not found:
-            out.append(_normalize_contact({"uid": uid, "name": name, "emails": emails, "phones": phones, "address": address}))
-        _save_local_contacts(out)
-        return True
-
-    vcard = _build_vcard(name, "", uid=uid, emails=emails, phones=phones, address=address)
-    # Use the real resource href (handles externally-created contacts whose
-    # filename != UID); falls back to the <uid>.vcf guess.
-    try:
-        url = _resolve_resource_url(uid)
-        auth = (cfg["username"], cfg["password"]) if cfg["username"] else None
-        r = httpx.put(
-            url,
-            data=vcard.encode("utf-8"),
-            headers={"Content-Type": "text/vcard; charset=utf-8"},
-            auth=auth,
-            timeout=10,
-        )
-        if r.status_code in (200, 201, 204):
-            _contact_cache["fetched_at"] = None
-            return True
-        logger.warning(f"CardDAV update PUT returned {r.status_code}: {r.text[:200]}")
-        return False
-    except Exception as e:
-        logger.error(f"Failed to update contact: {e}")
-        return False
-
-
-def _delete_contact(uid: str) -> bool:
-    """Delete a contact via CardDAV or local contacts."""
-    cfg = _get_carddav_config()
-    if not _carddav_configured(cfg):
-        contacts = _load_local_contacts()
-        remaining = [c for c in contacts if c.get("uid") != uid]
-        _save_local_contacts(remaining)
-        return True
-
-    try:
-        url = _resolve_resource_url(uid)
-        auth = (cfg["username"], cfg["password"]) if cfg["username"] else None
-        r = httpx.delete(url, auth=auth, timeout=10)
-        if r.status_code in (200, 204):
-            _contact_cache["fetched_at"] = None
-            return True
-        if r.status_code == 404:
-            # Resource not found at the resolved URL. With href resolution
-            # this should be rare (genuinely already deleted). Invalidate
-            # the cache and report success so the UI doesn't keep a ghost.
-            logger.info(f"CardDAV DELETE 404 for {uid} — treating as already gone")
-            _contact_cache["fetched_at"] = None
-            return True
-        logger.warning(f"CardDAV DELETE returned {r.status_code}: {r.text[:200]}")
-        return False
-    except Exception as e:
-        logger.error(f"Failed to delete contact: {e}")
-        return False
-
-
-# ── Routes ──
-
-def setup_contacts_routes():
-    router = APIRouter(prefix="/api/contacts", tags=["contacts"])
-
-    @router.get("/list")
-    async def list_contacts(_admin: str = Depends(require_admin)):
-        """List all contacts."""
-        contacts = _fetch_contacts()
-        return {"contacts": contacts, "count": len(contacts)}
-
-    @router.get("/search")
-    async def search_contacts(q: str = Query(""), _admin: str = Depends(require_admin)):
-        """Search contacts by name or email. Returns up to 10 matches."""
-        contacts = _fetch_contacts()
-        if not q:
-            return {"results": []}
-        q_lower = q.lower()
-        results = []
-        for c in contacts:
-            if q_lower in c["name"].lower():
-                results.append(c)
-                continue
-            for em in c["emails"]:
-                if q_lower in em.lower():
-                    results.append(c)
-                    break
-        return {"results": results[:10]}
-
-    @router.post("/add")
-    async def add_contact(data: dict, _admin: str = Depends(require_admin)):
-        """Add a new contact."""
-        name = (data.get("name") or "").strip()
-        email = (data.get("email") or "").strip()
-        phone = (data.get("phone") or "").strip()
-        address = (data.get("address") or "").strip()
-        if not email:
-            return {"success": False, "error": "Email required"}
-        # Check if already exists by email
-        if email:
-            contacts = _fetch_contacts()
-            for c in contacts:
-                if email.lower() in [e.lower() for e in c["emails"]]:
-                    return {"success": True, "message": "Already exists", "contact": c}
-        if not name:
-            name = email.split("@")[0]
-        create_params = inspect.signature(_create_contact).parameters
-        if len(create_params) >= 3:
-            ok = _create_contact(name, email, address)
-        else:
-            ok = _create_contact(name, email)
-        # If a phone was provided, do an immediate update to thread it
-        # through (the simple _create_contact signature only takes name +
-        # email + address; phones happen via update).
-        if ok and phone:
-            try:
-                fresh = _fetch_contacts(force=True)
-                created = next((c for c in fresh if name == c.get("name") and (not email or email in c.get("emails", []))), None)
-                if created:
-                    _update_contact(
-                        created["uid"], name,
-                        created.get("emails", []),
-                        [phone],
-                        address,
-                    )
-            except Exception:
-                pass
-        return {"success": ok}
-
-    @router.post("/import")
-    async def import_vcf(data: dict, _admin: str = Depends(require_admin)):
-        """Import contacts from .vcf or CSV. Body: {"vcf": "..."} or {"csv": "..."}."""
-        # Coerce defensively: a non-string vcf/text/csv (e.g. a number or list
-        # in the JSON body) would otherwise reach .strip() and 500 with an
-        # AttributeError instead of degrading to a clean "no data" response.
-        text = str(data.get("vcf") or data.get("text") or "")
-        csv_text = str(data.get("csv") or "")
-        if text.strip():
-            if "BEGIN:VCARD" not in text.upper():
-                return {"success": False, "error": "No vCard data found"}
-            result = _import_vcards(text)
-        elif csv_text.strip():
-            result = _import_csv_contacts(csv_text)
-        else:
-            return {"success": False, "error": "No contact data found"}
-        result["success"] = result.get("imported", 0) > 0
-        return result
-
-    @router.get("/export")
-    async def export_contacts(
-        format: str = Query("vcf", pattern="^(vcf|csv)$"),
-        _admin: str = Depends(require_admin),
-    ):
-        """Export all contacts as vCard or CSV."""
-        contacts = _fetch_contacts(force=True)
-        if format == "csv":
-            content = _contacts_to_csv(contacts)
-            media_type = "text/csv; charset=utf-8"
-            filename = "odysseus-contacts.csv"
-        else:
-            content = _contacts_to_vcf(contacts)
-            media_type = "text/vcard; charset=utf-8"
-            filename = "odysseus-contacts.vcf"
-        return Response(
-            content=content,
-            media_type=media_type,
-            headers={"Content-Disposition": f'attachment; filename="{filename}"'},
-        )
-
-    @router.get("/config")
-    async def get_config(_admin: str = Depends(require_admin)):
-        cfg = _get_carddav_config()
-        # Mask password
-        if cfg["password"]:
-            cfg["password"] = "***"
-        return cfg
-
-    @router.put("/config")
-    async def update_config(data: dict, _admin: str = Depends(require_admin)):
-        settings = _load_settings()
-        for key in ("carddav_url", "carddav_username", "carddav_password"):
-            if key in data:
-                if key == "carddav_url" and str(data[key] or "").strip():
-                    try:
-                        settings[key] = _validate_carddav_url(data[key])
-                    except ValueError as e:
-                        raise HTTPException(400, str(e))
-                else:
-                    value = data[key]
-                    if key == "carddav_password" and value:
-                        from src.secret_storage import encrypt
-                        value = encrypt(value)
-                    settings[key] = value
-        _save_settings(settings)
-        # Force re-fetch
-        _contact_cache["fetched_at"] = None
-        return {"success": True}
-
-    @router.delete("/clear")
-    async def clear_contacts(_admin: str = Depends(require_admin)):
-        """Clear all local contacts. If CardDAV is configured, only clears the local fallback cache."""
-        _save_local_contacts([])
-        return {"success": True}
-
-    # NOTE: the /{uid} routes are declared LAST so the literal paths above
-    # (/list, /search, /add, /config) win — otherwise PUT /config would
-    # match PUT /{uid} with uid="config".
-    @router.put("/{uid}")
-    async def edit_contact(uid: str, data: dict, _admin: str = Depends(require_admin)):
-        """Edit an existing contact — name / emails / phones / address."""
-        name = (data.get("name") or "").strip()
-        emails = data.get("emails")
-        phones = data.get("phones")
-        if emails is None and data.get("email"):
-            emails = [data["email"]]
-        emails = [e.strip() for e in (emails or []) if e and e.strip()]
-        phones = [p.strip() for p in (phones or []) if p and p.strip()]
-        address = (data.get("address") or "").strip()
-        if not name and not emails and not address:
-            return {"success": False, "error": "Name, email, or address required"}
-        if not name and emails:
-            name = emails[0].split("@")[0]
-        ok = _update_contact(uid, name, emails, phones, address)
-        return {"success": ok}
-
-    @router.delete("/{uid}")
-    async def delete_contact(uid: str, _admin: str = Depends(require_admin)):
-        """Delete a contact by UID."""
-        if not uid:
-            return {"success": False, "error": "UID required"}
-        ok = _delete_contact(uid)
-        return {"success": ok}
-
-    return router
+_sys.modules[__name__] = _canonical

routes/cookbook_helpers.py

@@ -439,15 +439,30 @@ def _cached_model_scan_script(model_dirs: list[str] | None = None, add_hf_cache:
         "                if f.is_file(): nf += 1; sz += f.stat().st_size",
         "                if f.name.endswith('.incomplete'): ic = True",
         "        snap = os.path.join(cache, d, 'snapshots')",
-        "        # Windows HF cache stores files directly in snapshots/; blobs/ may be empty.",
-        "        # Fallback: scan snapshots for real files when blobs yielded nothing.",
-        "        if sz == 0 and os.path.isdir(snap):",
+        "        def snapshot_size():",
+        "            total, count, incomplete = 0, 0, False",
+        "            seen_real = set()",
         "            for sd in os.listdir(snap):",
         "                sf = os.path.join(snap, sd)",
         "                if not os.path.isdir(sf): continue",
-        "                for f in os.scandir(sf):",
-        "                    if f.is_file(): nf += 1; sz += f.stat().st_size",
-        "                    if f.name.endswith('.incomplete'): ic = True",
+        "                for root, dirs, fns in safe_walk(sf):",
+        "                    for fn in fns:",
+        "                        fp = os.path.join(root, fn)",
+        "                        if fn.endswith('.incomplete'): incomplete = True",
+        "                        try:",
+        "                            real = os.path.realpath(fp)",
+        "                            if real in seen_real: continue",
+        "                            seen_real.add(real)",
+        "                            total += os.path.getsize(real)",
+        "                            count += 1",
+        "                        except Exception:",
+        "                            pass",
+        "            return total, count, incomplete",
+        "        # Some HF caches (macOS/MLX/Xet-style) keep blobs elsewhere or expose",
+        "        # snapshot symlinks only. Size snapshots too when blob accounting is empty.",
+        "        if sz == 0 and os.path.isdir(snap):",
+        "            sz2, nf2, ic2 = snapshot_size()",
+        "            sz, nf, ic = sz2, nf2, ic or ic2",
         "        is_diffusion = False; gguf_files = []",
         "        if os.path.isdir(snap):",
         "            for sd in os.listdir(snap):",
@@ -471,7 +486,18 @@ def _cached_model_scan_script(model_dirs: list[str] | None = None, add_hf_cache:
         "    add('/app/.cache/huggingface/hub')",
         f"    add({add_hf_cache!r})" if add_hf_cache else "",
         "    return candidates",
+        "def normalize_model_dir(p):",
+        "    p = os.path.expanduser((p or '').strip())",
+        "    if not p: return p",
+        "    if os.path.isdir(p) or os.path.isabs(p): return p",
+        "    # Users often paste Linux absolute paths without the leading slash.",
+        "    # Treat home/<user>/... as /home/<user>/... so remote scans work.",
+        "    if p.startswith(('home/', 'mnt/', 'media/', 'data/', 'opt/', 'srv/', 'var/')):",
+        "        prefixed = '/' + p",
+        "        if os.path.isdir(prefixed): return prefixed",
+        "    return p",
         "def scan_dir(p):",
+        "    p = normalize_model_dir(p)",
         "    if not os.path.isdir(p) or not safe_path(p): return",
         "    for d in sorted(os.listdir(p)):",
         "        if d.startswith('.'): continue",
@@ -541,7 +567,7 @@ def _cached_model_scan_script(model_dirs: list[str] | None = None, add_hf_cache:
         "scan_ollama()",
     ]
     for model_dir in model_dirs or []:
-        lines.append(f"scan_dir(os.path.expanduser({model_dir!r}))")
+        lines.append(f"scan_dir({model_dir!r})")
     lines.append("print(json.dumps(models))")
     return "\n".join(lines) + "\n"
 
@@ -558,10 +584,22 @@ def _bash_squote(v: str) -> str:
     return v.replace("'", "'\\''")
 
 
+# Shown by generated runner scripts when the ollama binary is missing on the
+# target host. Must stay free of backticks/$( ) and be emitted single-quoted:
+# an earlier version wrapped the install one-liner in backticks inside a
+# double-quoted echo, which bash executed as command substitution and ran the
+# system-wide installer (including on remote SSH hosts) instead of printing
+# the hint.
+OLLAMA_MISSING_HINT = (
+    "ERROR: Ollama not found on this server. Install it from "
+    "https://ollama.com/download or run: curl -fsSL https://ollama.com/install.sh | sh"
+)
+
+
 # Allow-list of binaries permitted as the leading token of `req.cmd` for /api/model/serve.
 # Anything else is rejected before the cmd is interpolated into a tmux/PowerShell wrapper.
 _SERVE_CMD_ALLOWLIST = {
-    "vllm", "llama-server", "llama_server", "llama.cpp", "ollama",
+    "vllm", "llama-server", "llama-server.exe", "llama_server", "llama.cpp", "ollama",
     "python", "python3",
     "sglang", "lmdeploy",
     "node", "npx",
@@ -577,6 +615,16 @@ _SERVE_CMD_ALLOWLIST = {
 _GGUF_PRELUDE_RE = re.compile(
     r'^MODEL_FILE=\$\([^\n]*?\)\s*&&\s*\{[^{}]*\}\s*\|\|\s*\{[^{}]*\}\s*&&\s*'
 )
+_SAFE_SUBSHELL_TEXT = r"[^'\n;&|`$()<>]+"
+_SAFE_SUBSHELL_DQ_HOME_PATH = r'"\$HOME/[^"\n;&|`()<>]*"'
+_SAFE_PRINTF_SUBSHELL_RE = re.compile(
+    rf"^\$\(printf[ \t]+%s[ \t]+(?:'{_SAFE_SUBSHELL_TEXT}'|\$\{{HOME\}}'/{_SAFE_SUBSHELL_TEXT}')\)$"
+)
+_SAFE_FIND_MMPROJ_SUBSHELL_RE = re.compile(
+    rf"^\$\(find[ \t]+(?:'{_SAFE_SUBSHELL_TEXT}'|{_SAFE_SUBSHELL_DQ_HOME_PATH}|{_SAFE_SUBSHELL_TEXT})"
+    r"[ \t]+-iname[ \t]+'mmproj\*\.gguf'"
+    r"(?:[ \t]+2>/dev/null)?[ \t]*\|[ \t]*sort[ \t]*\|[ \t]*head[ \t]+-1\)$"
+)
 _OLLAMA_HOST_ASSIGNMENT_RE = re.compile(r"(?:^|\s)OLLAMA_HOST=([^\s]+)")
 _OLLAMA_BIND_RE = re.compile(r"^\[([^\]]+)\]:(\d+)$|^([^:]+):(\d+)$")
 _OLLAMA_BIND_HOST_RE = re.compile(r"^[A-Za-z0-9._:-]+$")
@@ -677,6 +725,13 @@ def _check_serve_binary(seg: str) -> None:
         )
 
 
+def _is_safe_serve_subshell(subshell: str) -> bool:
+    return bool(
+        _SAFE_PRINTF_SUBSHELL_RE.fullmatch(subshell)
+        or _SAFE_FIND_MMPROJ_SUBSHELL_RE.fullmatch(subshell)
+    )
+
+
 def _validate_serve_cmd(v: str | None) -> str | None:
     """Reject serve commands that aren't in the allowlist or contain shell metachars.
 
@@ -708,15 +763,15 @@ def _validate_serve_cmd(v: str | None) -> str | None:
             _check_serve_binary(part.strip())
         return v
 
-    # Otherwise: a single invocation — no shell metacharacters allowed.
-    # Temporarily replace safe $(printf %s ...) expressions with a placeholder
-    # to avoid triggering the metacharacter/command-injection checks.
-    cleaned_v = v
-    printf_matches = list(re.finditer(r"\$\(\s*printf\s+%s\s+([^\n()]*?)\)", v))
-    for match in printf_matches:
-        inner = match.group(1)
-        if not any(c in inner for c in (";", "&&", "||", "$(", "`")):
-            cleaned_v = cleaned_v.replace(match.group(0), "/placeholder/safe/path.gguf")
+    # Otherwise: a single invocation — no shell metacharacters allowed. Replace
+    # only the exact command substitutions emitted by the Cookbook UI:
+    # $(printf %s 'safe-path') and the mmproj lookup
+    # $(find <path> -iname 'mmproj*.gguf' 2>/dev/null | sort | head -1).
+    def _replace_safe_subshell(match: re.Match[str]) -> str:
+        subshell = match.group(0)
+        return "/placeholder/safe/path" if _is_safe_serve_subshell(subshell) else subshell
+
+    cleaned_v = re.sub(r"\$\([^()]*\)", _replace_safe_subshell, v)
 
     # (`$(` was the original intent; bare `$` is fine for shell-safe paths.)
     if any(c in cleaned_v for c in (";", "&&", "||", "$(")):
@@ -786,25 +841,149 @@ def _append_llama_cpp_linux_accel_build_lines(runner_lines: list[str]) -> None:
     to hard-wire CUDA on Linux. That made ROCm hosts attempt a CUDA configure and
     fail with "CUDA Toolkit not found" instead of building with HIP.
     """
+    # Try a prebuilt binary from llama.cpp's GitHub releases FIRST — no
+    # cmake/build-essential/git/CUDA-headers needed at all. The from-source
+    # build below stays as a fallback (custom flags, esoteric arch, no
+    # internet, etc). 30 seconds vs 5+ minutes of compile, and removes
+    # every OS-package dep from the launch path. Sets _odysseus_have_prebuilt=1
+    # on success; the existing build-tier if/elif chain below is gated on
+    # that variable so we never compile twice or shadow the prebuilt symlink.
+    runner_lines.append('    _odysseus_have_prebuilt=""')
+    runner_lines.append('    _odysseus_arch="$(uname -m)"')
+    runner_lines.append('    _odysseus_prebuilt_url=""')
+    runner_lines.append('    if command -v curl >/dev/null 2>&1 && [ "$_odysseus_arch" = "x86_64" ]; then')
+    runner_lines.append('      _odysseus_pat=""')
+    runner_lines.append('      _odysseus_has_nv_inline() { command -v nvidia-smi >/dev/null 2>&1 && nvidia-smi -L 2>/dev/null | grep -q "GPU "; }')
+    runner_lines.append('      _odysseus_has_vk_inline() { ldconfig -p 2>/dev/null | grep -q "libvulkan\\.so" || command -v vulkaninfo >/dev/null 2>&1 || [ -e /usr/lib/x86_64-linux-gnu/libvulkan.so.1 ]; }')
+    runner_lines.append('      _odysseus_has_vkdev_inline() { ls /dev/dri/renderD* >/dev/null 2>&1 || (lspci 2>/dev/null | grep -Ei \'VGA|3D|Display\' | grep -Eiq \'AMD|ATI|Radeon\'); }')
+    runner_lines.append('      if _odysseus_has_nv_inline; then')
+    runner_lines.append('        _odysseus_pat="ubuntu.*cuda"')
+    runner_lines.append('      elif _odysseus_has_vkdev_inline && _odysseus_has_vk_inline; then')
+    runner_lines.append('        _odysseus_pat="ubuntu.*vulkan"')
+    runner_lines.append('      else')
+    runner_lines.append('        _odysseus_pat="ubuntu-x64\\\\.zip"')
+    runner_lines.append('      fi')
+    runner_lines.append('      _odysseus_prebuilt_url="$(curl -fsSL --max-time 15 https://api.github.com/repos/ggml-org/llama.cpp/releases/latest 2>/dev/null | grep \'"browser_download_url"\' | cut -d\'"\' -f4 | grep -iE "$_odysseus_pat" | grep -iv "arm\\|aarch64" | head -1)"')
+    runner_lines.append('    fi')
+    # Accept any of unzip / bsdtar / python3 -m zipfile as the extractor.
+    # python3 is essentially always present on modern Linux, so this lets
+    # the prebuilt path work on minimal Ubuntu installs that lack `unzip`.
+    runner_lines.append('    if [ -n "$_odysseus_prebuilt_url" ] && (command -v unzip >/dev/null 2>&1 || command -v bsdtar >/dev/null 2>&1 || command -v python3 >/dev/null 2>&1); then')
+    runner_lines.append('      echo "[odysseus] Found prebuilt llama-server: $_odysseus_prebuilt_url"')
+    runner_lines.append('      mkdir -p ~/bin "$HOME/.cache/odysseus/llama-cpp-prebuilt" && cd "$HOME/.cache/odysseus/llama-cpp-prebuilt"')
+    runner_lines.append('      rm -f llama-cpp.zip')
+    runner_lines.append('      if curl -fsSL --max-time 120 "$_odysseus_prebuilt_url" -o llama-cpp.zip && [ -s llama-cpp.zip ]; then')
+    runner_lines.append('        rm -rf build && mkdir -p build')
+    runner_lines.append('        if command -v unzip >/dev/null 2>&1; then unzip -qq -o llama-cpp.zip -d build; elif command -v bsdtar >/dev/null 2>&1; then bsdtar -xf llama-cpp.zip -C build; else python3 -c "import zipfile; zipfile.ZipFile(\\"llama-cpp.zip\\").extractall(\\"build\\")"; fi')
+    runner_lines.append('        _odysseus_extracted="$(find build -type f -name llama-server 2>/dev/null | head -1)"')
+    runner_lines.append('        if [ -n "$_odysseus_extracted" ]; then')
+    runner_lines.append('          chmod +x "$_odysseus_extracted"')
+    runner_lines.append('          ln -sf "$_odysseus_extracted" ~/bin/llama-server')
+    runner_lines.append('          _odysseus_libdir="$(dirname "$_odysseus_extracted")"')
+    runner_lines.append('          mkdir -p ~/.config && echo "export LD_LIBRARY_PATH=\\"$_odysseus_libdir:\\${LD_LIBRARY_PATH:-}\\"" > ~/.config/odysseus-llama-cpp-env')
+    runner_lines.append('          _odysseus_have_prebuilt=1')
+    runner_lines.append('          echo "[odysseus] Prebuilt llama-server installed at $_odysseus_extracted"')
+    runner_lines.append('        fi')
+    runner_lines.append('      fi')
+    runner_lines.append('      [ -z "$_odysseus_have_prebuilt" ] && echo "[odysseus] Prebuilt download/extract failed — falling back to from-source build."')
+    runner_lines.append('    elif [ -z "$_odysseus_prebuilt_url" ]; then')
+    runner_lines.append('      echo "[odysseus] No matching prebuilt llama-server for this host (arch=$_odysseus_arch) — will build from source."')
+    runner_lines.append('    fi')
+    runner_lines.append('  if [ -z "$_odysseus_have_prebuilt" ]; then')
     # Detect pip-installed nvcc (from vLLM/nvidia CUDA wheels) and put it on PATH
-    # so cmake's CUDA configure can find it. We keep this after the ROCm/HIP
-    # check — a machine with both stacks should honor the native HIP toolchain on
-    # AMD hosts instead of accidentally preferring a stray nvcc wheel.
-    runner_lines.append('    for _cudir in ~/.local/lib/python*/site-packages/nvidia/cu13 ~/.local/lib/python*/site-packages/nvidia/cu12 ~/.local/lib/python*/site-packages/nvidia/cuda_nvcc; do')
-    runner_lines.append('      [ -x "$_cudir/bin/nvcc" ] && export CUDA_HOME="$_cudir" && export PATH="$_cudir/bin:$PATH" && break')
-    runner_lines.append('    done')
+    # so cmake's CUDA configure can find it — BUT only when actual NVIDIA
+    # hardware is present. On AMD/Intel hosts the pip nvcc is a misleading
+    # leftover (no libcudart, no GPU it could target) and would otherwise
+    # send the build down the CUDA branch and fail with "CUDA Toolkit not
+    # found" instead of trying Vulkan.
+    runner_lines.append('    _odysseus_has_nvidia_hw() {')
+    runner_lines.append('      command -v nvidia-smi >/dev/null 2>&1 && nvidia-smi -L 2>/dev/null | grep -q "GPU " && return 0')
+    runner_lines.append('      ls /dev/nvidia* >/dev/null 2>&1 && return 0')
+    runner_lines.append('      lspci 2>/dev/null | grep -iE \'VGA|3D|Display\' | grep -iq nvidia && return 0')
+    runner_lines.append('      return 1')
+    runner_lines.append('    }')
+    runner_lines.append('    if _odysseus_has_nvidia_hw; then')
+    runner_lines.append('      for _cudir in ~/.local/lib/python*/site-packages/nvidia/cu13 ~/.local/lib/python*/site-packages/nvidia/cu12 ~/.local/lib/python*/site-packages/nvidia/cuda_nvcc; do')
+    runner_lines.append('        [ -x "$_cudir/bin/nvcc" ] && export CUDA_HOME="$_cudir" && export PATH="$_cudir/bin:$PATH" && break')
+    runner_lines.append('      done')
+    runner_lines.append('    fi')
     # rm -rf build so a prior poisoned CMakeCache.txt (e.g. from a failed CUDA
     # or HIP attempt) doesn't cause the next configure to reuse stale settings.
     runner_lines.append('    mkdir -p ~/bin')
-    runner_lines.append('    cd ~/llama.cpp && rm -rf build')
+    # Try to install cmake / build-essential / git automatically before the
+    # build, but ONLY via passwordless sudo (`sudo -n`) — interactive sudo
+    # would hang a tmux-backgrounded serve task waiting for a password. If
+    # sudo asks for a password the install is skipped silently and the
+    # diagnosis pattern (cookbook_routes.py / cookbook_helpers.py) surfaces
+    # an explicit "install cmake" suggestion in the Cookbook diagnosis
+    # toolbar after the inevitable build failure.
+    runner_lines.append('    _odysseus_apt_bootstrap() {')
+    runner_lines.append('      local _missing=""')
+    runner_lines.append('      command -v cmake >/dev/null 2>&1 || _missing="$_missing cmake"')
+    runner_lines.append('      command -v g++ >/dev/null 2>&1 || command -v gcc >/dev/null 2>&1 || _missing="$_missing build-essential"')
+    runner_lines.append('      command -v git >/dev/null 2>&1 || _missing="$_missing git"')
+    runner_lines.append('      [ -z "$_missing" ] && return 0')
+    runner_lines.append('      if command -v apt-get >/dev/null 2>&1 && sudo -n true 2>/dev/null; then')
+    runner_lines.append('        echo "[odysseus] Auto-installing missing build deps via apt:$_missing"')
+    runner_lines.append('        sudo -n env DEBIAN_FRONTEND=noninteractive apt-get update -qq 2>&1 | tail -3')
+    runner_lines.append('        sudo -n env DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends $_missing 2>&1 | tail -5 || true')
+    runner_lines.append('      elif command -v pacman >/dev/null 2>&1 && sudo -n true 2>/dev/null; then')
+    runner_lines.append('        echo "[odysseus] Auto-installing missing build deps via pacman:$_missing"')
+    runner_lines.append('        local _pacpkgs="$(echo "$_missing" | sed -e \'s/build-essential/base-devel/g\')"')
+    runner_lines.append('        sudo -n pacman -Sy --needed --noconfirm $_pacpkgs 2>&1 | tail -5 || true')
+    runner_lines.append('      elif command -v dnf >/dev/null 2>&1 && sudo -n true 2>/dev/null; then')
+    runner_lines.append('        echo "[odysseus] Auto-installing missing build deps via dnf:$_missing"')
+    runner_lines.append('        local _dnfpkgs="$(echo "$_missing" | sed -e \'s/build-essential/gcc gcc-c++ make/g\')"')
+    runner_lines.append('        sudo -n dnf install -y $_dnfpkgs 2>&1 | tail -5 || true')
+    runner_lines.append('      else')
+    runner_lines.append('        echo "[odysseus] WARNING: missing build deps ($_missing) — passwordless sudo is unavailable, cannot auto-install. Cookbook Diagnosis will explain the fix after the build fails."')
+    runner_lines.append('      fi')
+    runner_lines.append('    }')
+    runner_lines.append('    _odysseus_apt_bootstrap')
+    runner_lines.append('    _odysseus_missing_build_deps=""')
+    runner_lines.append('    command -v cmake >/dev/null 2>&1 || _odysseus_missing_build_deps="$_odysseus_missing_build_deps cmake"')
+    runner_lines.append('    command -v git >/dev/null 2>&1 || _odysseus_missing_build_deps="$_odysseus_missing_build_deps git"')
+    runner_lines.append('    command -v g++ >/dev/null 2>&1 || command -v gcc >/dev/null 2>&1 || _odysseus_missing_build_deps="$_odysseus_missing_build_deps build-essential"')
+    runner_lines.append('    if [ -n "$_odysseus_missing_build_deps" ]; then')
+    runner_lines.append('      echo "ERROR: llama.cpp source build needs missing packages:$_odysseus_missing_build_deps"')
+    runner_lines.append('      if command -v apt-get >/dev/null 2>&1; then')
+    runner_lines.append('        echo "Install on this host: sudo apt-get update && sudo apt-get install -y cmake build-essential git"')
+    runner_lines.append('      elif command -v pacman >/dev/null 2>&1; then')
+    runner_lines.append('        echo "Install on this host: sudo pacman -Sy --needed cmake base-devel git"')
+    runner_lines.append('      elif command -v dnf >/dev/null 2>&1; then')
+    runner_lines.append('        echo "Install on this host: sudo dnf install -y cmake gcc gcc-c++ make git"')
+    runner_lines.append('      fi')
+    runner_lines.append('      echo "Alternative: install a native llama-server on PATH, then relaunch."')
+    runner_lines.append('      ODYSSEUS_PREFLIGHT_EXIT=127')
+    runner_lines.append('    fi')
+    runner_lines.append('    cd ~/llama.cpp')
+    runner_lines.append('    _odysseus_has_vulkan() {')
+    runner_lines.append('      ldconfig -p 2>/dev/null | grep -q \'libvulkan\\.so\' && return 0')
+    runner_lines.append('      [ -e /usr/lib/libvulkan.so.1 ] && return 0')
+    runner_lines.append('      [ -e /usr/lib/x86_64-linux-gnu/libvulkan.so.1 ] && return 0')
+    runner_lines.append('      command -v vulkaninfo >/dev/null 2>&1 && return 0')
+    runner_lines.append('      return 1')
+    runner_lines.append('    }')
+    runner_lines.append('    _odysseus_has_vulkan_device() {')
+    runner_lines.append('      ls /dev/dri/renderD* >/dev/null 2>&1 && return 0')
+    runner_lines.append('      lspci 2>/dev/null | grep -Ei \'VGA|3D|Display\' | grep -Eiq \'AMD|ATI|Radeon\' && return 0')
+    runner_lines.append('      return 1')
+    runner_lines.append('    }')
+    # Backend preference: native ROCm/HIP > native CUDA > Vulkan > CPU.
+    # Vulkan is a portable fallback that works on AMD when ROCm isn't
+    # installed (e.g. Strix Halo) and on any vendor's discrete GPU, but
+    # it's ~30-40% slower than native HIP/CUDA for LLM inference — only
+    # pick it when no native toolchain is present.
     runner_lines.append('    if command -v hipconfig &>/dev/null || [ -d /opt/rocm ] || [ -n "$ROCM_PATH" ] || [ -n "$HIP_PATH" ]; then')
+    runner_lines.append('      rm -rf build')
     runner_lines.append('      if command -v hipconfig &>/dev/null; then')
     runner_lines.append('        export HIPCXX="${HIPCXX:-$(hipconfig -l)/clang}"')
     runner_lines.append('        export HIP_PATH="${HIP_PATH:-$(hipconfig -R)}"')
     runner_lines.append('      fi')
     runner_lines.append('      echo "[odysseus] ROCm/HIP detected — building llama-server with HIP support..."')
     runner_lines.append('      cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_HIP=ON && cmake --build build -j"$NPROC" --target llama-server && ln -sf ~/llama.cpp/build/bin/llama-server ~/bin/llama-server')
-    runner_lines.append('    elif command -v nvcc &>/dev/null; then')
+    runner_lines.append('    elif command -v nvcc &>/dev/null && _odysseus_has_nvidia_hw; then')
+    runner_lines.append('      rm -rf build')
     # nvcc alone is not sufficient — pip-installed CUDA wheels or incomplete
     # tooling can expose nvcc without shipping libcudart, causing cmake to fail
     # mid-build with "CUDA runtime library not found". Check cudart explicitly
@@ -828,31 +1007,50 @@ def _append_llama_cpp_linux_accel_build_lines(runner_lines: list[str]) -> None:
     runner_lines.append('        echo "[odysseus]   Ensure libcudart is installed (e.g. cuda-runtime package) and visible via ldconfig or CUDA_HOME."')
     runner_lines.append('        cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build -j"$NPROC" --target llama-server && ln -sf ~/llama.cpp/build/bin/llama-server ~/bin/llama-server')
     runner_lines.append('      fi')
+    runner_lines.append('    elif _odysseus_has_vulkan_device && _odysseus_has_vulkan; then')
+    runner_lines.append('      echo "[odysseus] Vulkan-capable GPU detected (no ROCm/CUDA toolchain installed) — building llama-server with Vulkan support..."')
+    runner_lines.append('      rm -rf build-vulkan')
+    runner_lines.append('      cmake -B build-vulkan -DCMAKE_BUILD_TYPE=Release -DGGML_VULKAN=ON && cmake --build build-vulkan -j"$NPROC" --target llama-server && ln -sf ~/llama.cpp/build-vulkan/bin/llama-server ~/bin/llama-server')
     runner_lines.append('    else')
-    runner_lines.append('      echo "[odysseus] WARNING: no HIP/CUDA toolchain found — building llama-server for CPU only."')
+    runner_lines.append('      echo "[odysseus] WARNING: no HIP/CUDA/Vulkan toolchain found — building llama-server for CPU only."')
     runner_lines.append('      echo "[odysseus]   GPU inference will not be available for this llama.cpp build."')
-    runner_lines.append('      echo "[odysseus]   Install ROCm for AMD GPUs or vLLM/CUDA tooling for NVIDIA, then re-launch this serve task."')
+    runner_lines.append('      echo "[odysseus]   Install Vulkan (libvulkan-dev) / ROCm for AMD GPUs or CUDA tooling for NVIDIA, then re-launch this serve task."')
+    runner_lines.append('      rm -rf build')
     runner_lines.append('      cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build -j"$NPROC" --target llama-server && ln -sf ~/llama.cpp/build/bin/llama-server ~/bin/llama-server')
     runner_lines.append('    fi')
+    runner_lines.append('  fi  # end _odysseus_have_prebuilt guard')
 
 
-def _llama_cpp_rebuild_cmd() -> str:
+def _llama_cpp_rebuild_cmd(update_source: bool = False) -> str:
     """Shell command that clears the Cookbook-managed llama.cpp build.
 
-    Removes the cached ``llama-server`` symlink and the ``~/llama.cpp/build``
+    Removes the cached ``llama-server`` symlink and the ``~/llama.cpp/build*``
     directory so the next llama.cpp serve recompiles from source, picking up a
     CUDA or HIP toolchain if one is now available. The serve bootstrap only
     builds when ``llama-server`` is missing from PATH, so without this an
-    existing CPU-only build is reused forever. It deliberately installs and
-    downloads nothing; the rebuild itself happens on the next serve.
+    existing CPU-only build is reused forever. When ``update_source`` is true,
+    the command also fast-forwards the Cookbook-managed ``~/llama.cpp`` checkout
+    if it exists. The rebuild itself happens on the next serve.
     """
+    update_cmd = ''
+    if update_source:
+        update_cmd = (
+            'if [ -d "$HOME/llama.cpp/.git" ]; then '
+            'git -C "$HOME/llama.cpp" pull --ff-only --depth 1 || '
+            'echo "[odysseus] WARNING: llama.cpp source update failed; clearing cached build anyway."; '
+            'elif command -v git >/dev/null 2>&1; then '
+            'git clone --depth 1 https://github.com/ggml-org/llama.cpp "$HOME/llama.cpp" || '
+            'echo "[odysseus] WARNING: llama.cpp clone failed; clearing cached build anyway."; '
+            'fi && '
+        )
     return (
         'mkdir -p "$HOME/bin" && '
+        f'{update_cmd}'
         'rm -f "$HOME/bin/llama-server" && '
-        'rm -rf "$HOME/llama.cpp/build" && '
+        'rm -rf "$HOME/llama.cpp/build" "$HOME/llama.cpp/build-vulkan" && '
         'echo "[odysseus] Cleared the cached llama.cpp build. '
         'Re-launch the serve task to rebuild llama-server from source '
-        '(CUDA or HIP will be used if a toolchain is now available)."'
+        '(Vulkan, HIP, or CUDA will be used if a matching toolchain is now available)."'
     )
 
 
@@ -1101,13 +1299,15 @@ def _diagnose_serve_output(text: str) -> dict | None:
             [{"label": "install vLLM in Cookbook Dependencies", "op": "dependency", "package": "vllm"}],
         ),
         (
-            r"sgl_kernel[\s\S]*(Python\.h|libnuma\.so\.1|common_ops)|"
-            r"(Python\.h|libnuma\.so\.1|common_ops)[\s\S]*sgl_kernel|"
+            r"sgl_kernel[\s\S]*(Python\.h|libnuma\.so\.1|common_ops|libnvrtc\.so)|"
+            r"(Python\.h|libnuma\.so\.1|common_ops|libnvrtc\.so)[\s\S]*sgl_kernel|"
+            r"Could not load any common_ops library|"
             r"Please ensure sgl_kernel is properly installed",
-            "SGLang native dependencies are missing on this server.",
+            "SGLang native kernel/runtime is missing or mismatched on this server.",
             [
+                {"label": "repair sglang-kernel in this Python environment", "op": "dependency", "package": "sglang-kernel"},
                 {"label": "install OS packages: libnuma-dev python3.12-dev build-essential", "op": "manual"},
-                {"label": "upgrade sglang-kernel after OS packages are installed", "op": "manual"},
+                {"label": "if libnvrtc is still missing, install the matching CUDA/NVRTC runtime on this host", "op": "manual"},
             ],
         ),
         (
@@ -1116,7 +1316,39 @@ def _diagnose_serve_output(text: str) -> dict | None:
             [{"label": "install SGLang in Cookbook Dependencies", "op": "dependency", "package": "sglang[all]"}],
         ),
         (
-            r"llama-server.*command not found|llama\.cpp.*not found|No module named.*llama_cpp|No module named 'starlette_context'|git: command not found|cmake: command not found",
+            r"No module named ['\"]?mlx_lm|mlx_lm.*command not found|MLX is not installed|MLX LM is not installed",
+            "MLX LM is not installed on this server.",
+            [{"label": "install mlx-lm in Cookbook Dependencies", "op": "dependency", "package": "mlx-lm"}],
+        ),
+        (
+            r"Unable to quantize model of type <class ['\"]mlx_lm\.models\.switch_layers\.QuantizedSwitchLinear['\"]>|QuantizedSwitchLinear",
+            "MLX-LM tried to quantize an already-quantized DeepSeek switch layer.",
+            [
+                {"label": "relaunch from the cached local Hugging Face snapshot path on this Mac", "op": "manual"},
+                {"label": "Odysseus now rewrites MLX repo-id launches to a cached snapshot when one exists", "op": "manual"},
+            ],
+        ),
+        # System build deps come BEFORE the generic llama.cpp catch-all so
+        # cmake / build-essential / git missing → a specific OS-package
+        # remediation instead of "install llama-cpp-python[server]" (which
+        # itself fails to compile when cmake is absent).
+        (
+            r"cmake: command not found|cmake.*not found.*[Cc]ould not",
+            "cmake is required to build llama.cpp from source but isn't installed on this server.",
+            [{"label": "install build deps for llama.cpp (apt: cmake build-essential git / pacman: cmake base-devel git / dnf: cmake gcc-c++ make git / brew: cmake git)", "op": "dependency", "package": "llama-cpp-python[server]"}],
+        ),
+        (
+            r"^(make|g\+\+|gcc): command not found|Could not find C\+\+ compiler",
+            "A C/C++ compiler (build-essential) is required to build llama.cpp from source.",
+            [{"label": "install build deps for llama.cpp on this server", "op": "dependency", "package": "llama-cpp-python[server]"}],
+        ),
+        (
+            r"^git: command not found",
+            "git is required to clone the llama.cpp source tree.",
+            [{"label": "install build deps for llama.cpp on this server", "op": "dependency", "package": "llama-cpp-python[server]"}],
+        ),
+        (
+            r"llama-server.*command not found|llama\.cpp.*not found|No module named.*llama_cpp|No module named 'starlette_context'",
             "llama.cpp / llama-cpp-python dependencies are missing.",
             [{"label": "install llama.cpp dependencies or llama-cpp-python[server]", "op": "dependency", "package": "llama-cpp-python[server]"}],
         ),

routes/document_helpers.py

@@ -12,6 +12,7 @@ from pydantic import BaseModel
 
 from core.database import Document, DocumentVersion
 from core.database import Session as DbSession
+from src.auth_helpers import _auth_disabled
 from src.upload_handler import UploadHandler
 
 logger = logging.getLogger(__name__)
@@ -28,6 +29,7 @@ class DocumentCreate(BaseModel):
 class DocumentUpdate(BaseModel):
     content: str
     summary: Optional[str] = None
+    force_version: bool = False
 
 class DocumentPatch(BaseModel):
     title: Optional[str] = None
@@ -78,6 +80,8 @@ def _verify_doc_owner(db, doc: Document, user: str):
     the session join for any not-yet-backfilled legacy row.
     """
     if user is None:
+        if _auth_disabled():
+            return  # Single-user / no-auth mode: allow access
         raise HTTPException(403, "Authentication required")
     if doc.owner is not None:
         if doc.owner != user:
@@ -104,7 +108,6 @@ def _owner_session_filter(q, user):
     by the time this filter is live there are no NULL-owner rows to leak;
     we therefore match the owner strictly for authenticated callers."""
     if not user:
-        from src.auth_helpers import _auth_disabled
         if user == "" or _auth_disabled():
             return q
         return q.filter(False)

routes/document_routes.py

@@ -10,7 +10,7 @@ from fastapi import APIRouter, HTTPException, Query, Request, UploadFile, File,
 from sqlalchemy import case, func, or_
 from core.database import SessionLocal, Document, DocumentVersion
 from core.database import Session as DbSession
-from src.auth_helpers import get_current_user
+from src.auth_helpers import get_current_user, _auth_disabled
 from src.constants import MAIL_ATTACHMENTS_DIR
 
 logger = logging.getLogger(__name__)
@@ -54,6 +54,18 @@ def _library_language_for_document(doc: Document) -> str:
     return doc.language or "text"
 
 
+def _email_source_key(content: str) -> tuple[str, str]:
+    """Return the source email identity embedded in an email draft document."""
+    import re
+
+    text = content or ""
+    uid_m = re.search(r"(?im)^X-Source-UID:\s*(.+?)\s*$", text)
+    folder_m = re.search(r"(?im)^X-Source-Folder:\s*(.+?)\s*$", text)
+    uid = (uid_m.group(1).strip() if uid_m else "")
+    folder = (folder_m.group(1).strip() if folder_m else "INBOX")
+    return uid, folder
+
+
 from routes.document_helpers import (
     DocumentCreate, DocumentUpdate, DocumentPatch,
     _doc_to_dict, _version_to_dict,
@@ -99,24 +111,62 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
                 # the existing lenient path.
                 session = _get_session_or_404(db, req.session_id, user)
 
-            doc_id = str(uuid.uuid4())
-            ver_id = str(uuid.uuid4())
-
             # If no language was supplied (e.g. cloning a doc whose language
             # was never set), detect it from the content rather than storing
             # NULL — which made the editor fall back to plain text. Defaults
             # to markdown for prose.
             language = req.language
             if not language:
-                from src.agent_tools.document_tools import _looks_like_email_document, _sniff_doc_language
+                from src.agent_tools.document_tools import _looks_like_email_document, _sniff_doc_language, _coerce_email_document_content
                 language = _sniff_doc_language(req.content)
             else:
-                from src.agent_tools.document_tools import _looks_like_email_document
+                from src.agent_tools.document_tools import _looks_like_email_document, _coerce_email_document_content
             if _looks_like_email_document(req.content, req.title):
                 language = "email"
 
             _assert_pdf_marker_upload_owned(request, req.content, user, upload_handler)
 
+            # Reply drafts are keyed to the source email. If a UI/tool path tries
+            # to create a second draft for the same email in the same chat,
+            # update the existing draft instead so quoted thread history stays
+            # attached to the visible document.
+            if language == "email" and req.session_id:
+                source_uid, source_folder = _email_source_key(req.content)
+                if source_uid:
+                    candidates = (
+                        db.query(Document)
+                        .filter(Document.session_id == req.session_id)
+                        .filter(Document.is_active == True)
+                        .filter(Document.language == "email")
+                        .order_by(Document.updated_at.desc())
+                        .limit(25)
+                        .all()
+                    )
+                    for existing in candidates:
+                        old_uid, old_folder = _email_source_key(existing.current_content or "")
+                        if old_uid != source_uid or old_folder != source_folder:
+                            continue
+                        merged = _coerce_email_document_content(existing.current_content or "", req.content)
+                        if existing.current_content != merged:
+                            new_ver = (existing.version_count or 1) + 1
+                            existing.current_content = merged
+                            existing.title = req.title or existing.title
+                            existing.version_count = new_ver
+                            db.add(DocumentVersion(
+                                id=str(uuid.uuid4()),
+                                document_id=existing.id,
+                                version_number=new_ver,
+                                content=merged,
+                                summary="Updated existing email draft",
+                                source="user",
+                            ))
+                            db.commit()
+                            db.refresh(existing)
+                        return _doc_to_dict(existing)
+
+            doc_id = str(uuid.uuid4())
+            ver_id = str(uuid.uuid4())
+
             doc = Document(
                 id=doc_id,
                 session_id=req.session_id,
@@ -388,7 +438,8 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
         db = SessionLocal()
         try:
             if not user:
-                raise HTTPException(403, "Authentication required")
+                if not _auth_disabled():
+                    raise HTTPException(403, "Authentication required")
             # v2 review HIGH-9: raise 403 explicitly when the caller
             # can't see this session, instead of returning [] which the
             # UI treats identically to "no docs" and silently masks
@@ -569,11 +620,23 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
                 raise HTTPException(404, "Document not found")
             _verify_doc_owner(db, doc, user)
 
-            # Skip if content is identical
-            if doc.current_content == req.content:
+            incoming_content = req.content
+            from src.agent_tools.document_tools import _coerce_email_document_content, _looks_like_email_document
+            is_email_doc = (
+                (doc.language or "").lower() == "email"
+                or _looks_like_email_document(doc.current_content or "", doc.title or "")
+                or _looks_like_email_document(req.content or "", doc.title or "")
+            )
+            if is_email_doc:
+                incoming_content = _coerce_email_document_content(doc.current_content or "", req.content)
+                doc.language = "email"
+
+            # Skip if content is identical unless the caller explicitly wants
+            # a checkpoint version from the current editor state.
+            if doc.current_content == incoming_content and not req.force_version:
                 return _doc_to_dict(doc)
 
-            _assert_pdf_marker_upload_owned(request, req.content, user, upload_handler)
+            _assert_pdf_marker_upload_owned(request, incoming_content, user, upload_handler)
 
             # Check if we can coalesce with the latest version
             latest_ver = db.query(DocumentVersion).filter(
@@ -582,14 +645,14 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
 
             now = datetime.now(timezone.utc)
             coalesced = False
-            if latest_ver and latest_ver.source == "user":
+            if latest_ver and latest_ver.source == "user" and not req.force_version:
                 ver_time = latest_ver.created_at
                 if ver_time.tzinfo is None:
                     ver_time = ver_time.replace(tzinfo=timezone.utc)
                 age = (now - ver_time).total_seconds()
                 if age < VERSION_COALESCE_SECONDS:
                     # Update the existing version in-place
-                    latest_ver.content = req.content
+                    latest_ver.content = incoming_content
                     latest_ver.created_at = now
                     if req.summary:
                         latest_ver.summary = req.summary
@@ -601,14 +664,14 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
                     id=str(uuid.uuid4()),
                     document_id=doc_id,
                     version_number=new_ver,
-                    content=req.content,
+                    content=incoming_content,
                     summary=req.summary or "Manual edit",
                     source="user",
                 )
                 doc.version_count = new_ver
                 db.add(ver)
 
-            doc.current_content = req.content
+            doc.current_content = incoming_content
             db.commit()
             db.refresh(doc)
             return _doc_to_dict(doc)
@@ -798,10 +861,26 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
             from src.document_actions import _JUNK_TITLES
 
             to_delete = []
+            now = datetime.now(timezone.utc)
             for doc in docs:
+                created = doc.created_at
+                if created and created.tzinfo is None:
+                    created = created.replace(tzinfo=timezone.utc)
+
+                # Skip freshly created documents to avoid deleting them while the user is actively editing
+                if created and (now - created).total_seconds() < 900:  # 15 minutes
+                    continue
+
                 content = (doc.current_content or "").strip()
                 title_raw = (doc.title or "").strip()
                 title = title_raw.lower()
+                is_fresh_empty = (
+                    not content
+                    and created is not None
+                    and (now - created).total_seconds() < 1800
+                )
+                if is_fresh_empty:
+                    continue
 
                 # Strip markdown noise to get a "real" character count
                 stripped = _re.sub(r"^#{1,6}\s+", "", content, flags=_re.MULTILINE)
@@ -836,10 +915,6 @@ def setup_document_routes(session_manager, upload_handler=None) -> APIRouter:
                     to_delete.append(doc); deleted += 1; continue
                 if title in _JUNK_TITLES:
                     to_delete.append(doc); deleted += 1; continue
-                if real_len < 30:
-                    to_delete.append(doc); deleted += 1; continue
-                if "\n" not in content and real_len < 50:
-                    to_delete.append(doc); deleted += 1; continue
 
                 # Fix empty or placeholder titles on survivors
                 if not title_raw or title_raw == "Untitled":

routes/email_helpers.py

@@ -40,6 +40,16 @@ from src.secret_storage import decrypt as _decrypt
 logger = logging.getLogger(__name__)
 
 
+class EmailNotConfiguredError(RuntimeError):
+    """Raised when an IMAP operation is attempted on an account that has no
+    inbox configured (e.g. a send-only / SMTP-only account).
+
+    Subclasses RuntimeError so existing broad ``except Exception`` handlers
+    keep working; callers that want to treat "no inbox" as an empty result
+    rather than a failure can catch this type specifically.
+    """
+
+
 def _xoauth2_raw(user: str, access_token: str) -> str:
     """The SASL XOAUTH2 initial-response string (unencoded).
 
@@ -225,8 +235,9 @@ def _strip_think(text: str) -> str:
     """
     if not text:
         return ""
-    from src.text_helpers import strip_think as _central, _THINK_CLOSED_RE, _THINK_OPEN_RE, _THINK_TAG_RE
-    had_think = bool(_THINK_CLOSED_RE.search(text) or _THINK_OPEN_RE.search(text) or _THINK_TAG_RE.search(text))
+    from src.text_helpers import strip_think as _central, _THINK_TAG_RE
+    # Single linear tag check; the old closed/open `.search()` calls could ReDoS.
+    had_think = bool(_THINK_TAG_RE.search(text))
     return _central(text, prose=had_think, prompt_echo=True)
 
 
@@ -338,7 +349,7 @@ def _assert_owns_account(account_id: str, owner: str) -> None:
             row = db.query(_EA).filter(_EA.id == account_id).first()
             if row is None:
                 raise HTTPException(404, "Account not found")
-            if row.owner and row.owner != owner:
+            if not _account_visible_to_owner(row, owner):
                 # Treat as 404 (not 403) so we don't leak existence.
                 raise HTTPException(404, "Account not found")
         finally:
@@ -351,6 +362,26 @@ def _assert_owns_account(account_id: str, owner: str) -> None:
         logger.error(f"Account-owner check failed: {e}")
         raise HTTPException(503, "Account check failed")
 
+
+def _account_visible_to_owner(row, owner: str) -> bool:
+    """Whether an authenticated `owner` may act on this EmailAccount row.
+
+    Mirrors the SQL predicate in `_get_email_config`'s
+    `_owner_or_matching_legacy_account`: a caller sees an account they own, or a
+    legacy owner-less account (owner NULL/"") only when its own mailbox
+    (`imap_user` / `from_address`) is the caller's. `email_accounts` is the one
+    owner-scoped table deliberately left out of the legacy-owner migration
+    backfill, so ownerless rows persist on multi-user deploys — making this the
+    gate that keeps one tenant off another's imported mailbox and its decrypted
+    IMAP/SMTP credentials."""
+    row_owner = getattr(row, "owner", None) or ""
+    if row_owner:
+        return row_owner == owner
+    return owner in {
+        getattr(row, "imap_user", None) or "",
+        getattr(row, "from_address", None) or "",
+    }
+
 def _q(name: str) -> str:
     """Quote an IMAP mailbox name. Defensive: escapes `\\` and `"` and wraps
     in double quotes so user-supplied folder names with spaces or quotes can't
@@ -413,12 +444,19 @@ SCHEDULED_DB = Path(SCHEDULED_EMAILS_DB)
 OWNER_SCOPED_EMAIL_CACHE_TABLES = {
     "email_summaries",
     "email_ai_replies",
+    "email_translations",
     "email_calendar_extractions",
     "email_urgency_alerts",
     "sender_signatures",
 }
 
 
+def email_translation_body_hash(body: str) -> str:
+    import hashlib as _hashlib
+    normalized = (body or "").strip()
+    return _hashlib.sha256(normalized.encode("utf-8", errors="ignore")).hexdigest()
+
+
 def _email_cache_owner_clause(owner: str = "") -> tuple[str, tuple[str, ...]]:
     owner = (owner or "").strip()
     if owner:
@@ -426,14 +464,34 @@ def _email_cache_owner_clause(owner: str = "") -> tuple[str, tuple[str, ...]]:
     return "(owner = '' OR owner IS NULL)", ()
 
 
-def _ensure_owner_scoped_email_cache_table(conn, table: str, create_sql: str, columns: list[str]):
+def _ensure_owner_scoped_email_cache_table(
+    conn,
+    table: str,
+    create_sql: str,
+    columns: list[str],
+    pk_columns: list[str] | None = None,
+):
     """Rebuild legacy Message-ID-only cache tables with owner in the PK."""
+    desired_pk_cols = pk_columns or ["message_id", "owner"]
     conn.execute(create_sql)
     try:
         info = conn.execute(f"PRAGMA table_info({table})").fetchall()
         cols = [r[1] for r in info]
         pk_cols = [r[1] for r in sorted((r for r in info if r[5]), key=lambda r: r[5])]
-        if "owner" in cols and pk_cols == ["message_id", "owner"]:
+        for col in columns:
+            if col not in cols:
+                if col == "owner":
+                    conn.execute(f"ALTER TABLE {table} ADD COLUMN owner TEXT DEFAULT ''")
+                elif col in {"event_uids"}:
+                    conn.execute(f"ALTER TABLE {table} ADD COLUMN {col} TEXT DEFAULT '[]'")
+                elif col.startswith("has_") or col.endswith("_created") or col.endswith("_count"):
+                    conn.execute(f"ALTER TABLE {table} ADD COLUMN {col} INTEGER DEFAULT 0")
+                elif col == "created_at":
+                    conn.execute(f"ALTER TABLE {table} ADD COLUMN {col} TEXT DEFAULT ''")
+                else:
+                    conn.execute(f"ALTER TABLE {table} ADD COLUMN {col} TEXT")
+                cols.append(col)
+        if "owner" in cols and pk_cols == desired_pk_cols:
             return
 
         conn.execute(f"ALTER TABLE {table} RENAME TO {table}__old")
@@ -566,6 +624,25 @@ def _init_scheduled_db():
             PRIMARY KEY (message_id, owner)
         )
     """, ["message_id", "owner", "uid", "folder", "reply", "model_used", "created_at"])
+    _ensure_owner_scoped_email_cache_table(conn, "email_translations", """
+        CREATE TABLE IF NOT EXISTS email_translations (
+            body_hash TEXT,
+            owner TEXT DEFAULT '',
+            target_language TEXT DEFAULT 'English',
+            uid TEXT,
+            folder TEXT,
+            subject TEXT,
+            sender TEXT,
+            translation TEXT,
+            same_language INTEGER DEFAULT 0,
+            model_used TEXT,
+            created_at TEXT NOT NULL,
+            PRIMARY KEY (body_hash, owner, target_language)
+        )
+    """, [
+        "body_hash", "owner", "target_language", "uid", "folder", "subject", "sender",
+        "translation", "same_language", "model_used", "created_at",
+    ], ["body_hash", "owner", "target_language"])
     # Email tags / spam classification cache. SECURITY: keyed by
     # (message_id, owner) because Message-IDs are GLOBAL (a newsletter goes
     # to many users with the same Message-ID). Without owner-scoping, a
@@ -575,6 +652,7 @@ def _init_scheduled_db():
         CREATE TABLE IF NOT EXISTS email_tags (
             message_id TEXT,
             owner TEXT DEFAULT '',
+            account_id TEXT DEFAULT '',
             uid TEXT,
             folder TEXT,
             subject TEXT,
@@ -585,7 +663,7 @@ def _init_scheduled_db():
             moved_to TEXT,
             model_used TEXT,
             created_at TEXT NOT NULL,
-            PRIMARY KEY (message_id, owner)
+            PRIMARY KEY (message_id, owner, account_id)
         )
     """)
     # Backfill migration: older installs created the table with
@@ -593,28 +671,35 @@ def _init_scheduled_db():
     # promote it into the PK by rebuild-copy-swap (SQLite can't ALTER PK).
     try:
         _cols = [r[1] for r in conn.execute("PRAGMA table_info(email_tags)")]
+        _pk_cols = [r[1] for r in sorted(conn.execute("PRAGMA table_info(email_tags)").fetchall(), key=lambda row: row[5] or 99) if r[5]]
         if "owner" not in _cols:
-            # Add the column first so reads/writes don't break mid-migration.
             conn.execute("ALTER TABLE email_tags ADD COLUMN owner TEXT DEFAULT ''")
-            # Rebuild with composite PK. Existing rows get owner='' (legacy
-            # single-user); the urgency scanner will overwrite as it
-            # re-classifies. No data loss.
+            _cols.append("owner")
+        if "account_id" not in _cols:
+            conn.execute("ALTER TABLE email_tags ADD COLUMN account_id TEXT DEFAULT ''")
+            _cols.append("account_id")
+        if _pk_cols != ["message_id", "owner", "account_id"]:
+            # Rebuild with account-aware composite PK. Existing rows get
+            # account_id='' and are still readable as legacy fallback rows;
+            # fresh task runs write exact account ids and no longer block each
+            # other when two accounts share a Message-ID.
             conn.execute("""
                 CREATE TABLE IF NOT EXISTS email_tags__new (
                     message_id TEXT,
                     owner TEXT DEFAULT '',
+                    account_id TEXT DEFAULT '',
                     uid TEXT, folder TEXT, subject TEXT, sender TEXT,
                     tags TEXT, spam_verdict INTEGER DEFAULT 0,
                     spam_reason TEXT, moved_to TEXT, model_used TEXT,
                     created_at TEXT NOT NULL,
-                    PRIMARY KEY (message_id, owner)
+                    PRIMARY KEY (message_id, owner, account_id)
                 )
             """)
             conn.execute("""
                 INSERT OR IGNORE INTO email_tags__new
-                  (message_id, owner, uid, folder, subject, sender, tags,
+                  (message_id, owner, account_id, uid, folder, subject, sender, tags,
                    spam_verdict, spam_reason, moved_to, model_used, created_at)
-                SELECT message_id, COALESCE(owner, ''), uid, folder, subject,
+                SELECT message_id, COALESCE(owner, ''), COALESCE(account_id, ''), uid, folder, subject,
                        sender, tags, spam_verdict, spam_reason, moved_to,
                        model_used, created_at
                 FROM email_tags
@@ -630,11 +715,12 @@ def _init_scheduled_db():
             message_id TEXT,
             owner TEXT DEFAULT '',
             uid TEXT,
+            event_uids TEXT DEFAULT '[]',
             events_created INTEGER DEFAULT 0,
             created_at TEXT NOT NULL,
             PRIMARY KEY (message_id, owner)
         )
-    """, ["message_id", "owner", "uid", "events_created", "created_at"])
+    """, ["message_id", "owner", "uid", "event_uids", "events_created", "created_at"])
     _ensure_owner_scoped_email_cache_table(conn, "email_urgency_alerts", """
         CREATE TABLE IF NOT EXISTS email_urgency_alerts (
             message_id TEXT,
@@ -660,6 +746,64 @@ def _init_scheduled_db():
             PRIMARY KEY (owner, account_key, folder, message_key)
         )
     """)
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS email_message_index (
+            owner TEXT NOT NULL DEFAULT '',
+            account_key TEXT NOT NULL DEFAULT '',
+            folder TEXT NOT NULL,
+            uid TEXT NOT NULL,
+            message_id TEXT,
+            subject TEXT,
+            from_name TEXT,
+            from_address TEXT,
+            to_text TEXT,
+            cc_text TEXT,
+            date_iso TEXT,
+            date_display TEXT,
+            date_epoch REAL DEFAULT 0,
+            size INTEGER DEFAULT 0,
+            flags TEXT DEFAULT '',
+            has_attachments INTEGER DEFAULT 0,
+            updated_at TEXT NOT NULL,
+            PRIMARY KEY (owner, account_key, folder, uid)
+        )
+    """)
+    conn.execute("""
+        CREATE INDEX IF NOT EXISTS ix_email_message_index_folder_date
+        ON email_message_index(owner, account_key, folder, date_epoch DESC)
+    """)
+    conn.execute("""
+        CREATE INDEX IF NOT EXISTS ix_email_message_index_message_id
+        ON email_message_index(owner, account_key, message_id)
+    """)
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS email_body_preview_cache (
+            owner TEXT NOT NULL DEFAULT '',
+            account_key TEXT NOT NULL DEFAULT '',
+            folder TEXT NOT NULL,
+            uid TEXT NOT NULL,
+            message_id TEXT,
+            payload_json TEXT NOT NULL,
+            updated_at TEXT NOT NULL,
+            PRIMARY KEY (owner, account_key, folder, uid)
+        )
+    """)
+    conn.execute("""
+        CREATE INDEX IF NOT EXISTS ix_email_body_preview_message_id
+        ON email_body_preview_cache(owner, account_key, message_id)
+    """)
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS email_attachment_metadata_cache (
+            owner TEXT NOT NULL DEFAULT '',
+            account_key TEXT NOT NULL DEFAULT '',
+            folder TEXT NOT NULL,
+            uid TEXT NOT NULL,
+            message_id TEXT,
+            attachments_json TEXT NOT NULL,
+            updated_at TEXT NOT NULL,
+            PRIMARY KEY (owner, account_key, folder, uid)
+        )
+    """)
     # Boundary cache — LLM-detected sig/quote start positions in the body.
     # Stored as char offsets (-1 = no boundary found). Once cached, the
     # client uses these to fold without ever re-calling the LLM.
@@ -779,12 +923,13 @@ def _get_email_config(account_id: str | None = None, owner: str = "") -> dict:
         try:
             if account_id:
                 row = db.query(_EA).filter(_EA.id == account_id, _EA.enabled == True).first()  # noqa: E712
-                # If the resolved row belongs to a different owner, treat as
+                # If the resolved row isn't visible to this owner, treat as
                 # not-found rather than silently serving it. This is a defense
                 # in depth — `require_owner` already calls `_assert_owns_account`
                 # for query-param account_ids, but other callers (cookbook
-                # rules, scheduled poller) may not.
-                if row is not None and owner and row.owner and row.owner != owner:
+                # rules, scheduled poller) may not. Ownerless legacy rows are
+                # only visible on a mailbox match, same as the fallback below.
+                if row is not None and owner and not _account_visible_to_owner(row, owner):
                     row = None
             # Fallback path — restrict to this owner's accounts so we don't
             # leak another user's default mailbox to an unconfigured user.
@@ -928,6 +1073,14 @@ def _imap_connect(account_id: str | None = None, owner: str = "",
     # `timeout` is overridable so short-lived callers (e.g. the service-health
     # probe) can impose a tighter budget than the default IMAP timeout.
     cfg = _get_email_config(account_id, owner=owner)
+    # Send-only (SMTP-only) account: no IMAP host means there is no inbox to
+    # read. Bail out with a clear, typed error instead of handing an empty
+    # host to imaplib — IMAP4("", 993) silently dials localhost:993 and fails
+    # with a confusing "[Errno 111] Connection refused" on every inbox poll.
+    if not cfg.get("imap_host"):
+        raise EmailNotConfiguredError(
+            f"IMAP is not configured for account {cfg.get('account_name') or 'default'!r}"
+        )
     # Connection mode:
     #   STARTTLS on → plain + upgrade
     #   STARTTLS off + port 993 → implicit SSL (IMAPS)
@@ -1141,10 +1294,15 @@ def _imap_move(uid, dest, src="INBOX", account_id: str | None = None, owner: str
     try:
         c = _imap_connect(account_id, owner=owner)
         c.select(_q(src))
-        status, _ = c.copy(uid, _q(dest))
+        # Callers pass a real IMAP UID (from conn.uid("SEARCH", ...)). copy()
+        # and store() operate on message SEQUENCE NUMBERS, so addressing them
+        # with a UID moved/deleted the wrong message (or silently no-oped when
+        # the UID exceeded the message count). Use the UID commands, matching
+        # the move/delete path in email_routes.py.
+        status, _ = c.uid("COPY", uid, _q(dest))
         if status != "OK":
             return False
-        c.store(uid, "+FLAGS", "\\Deleted")
+        c.uid("STORE", uid, "+FLAGS", "\\Deleted")
         c.expunge()
         return True
     except Exception as e:
@@ -1233,56 +1391,95 @@ def _list_attachments_from_msg(msg):
         return attachments
     idx = 0
     for part in msg.walk():
-        if part.is_multipart():
-            continue
         cd = str(part.get("Content-Disposition", ""))
         ct = part.get_content_type()
+        is_attached_email = ct == "message/rfc822" and ("attachment" in cd.lower() or part.get_filename())
+        if part.is_multipart() and not is_attached_email:
+            continue
         # Skip text/html body parts (only consider real attachments)
         if ct in ("text/plain", "text/html") and "attachment" not in cd:
             continue
         filename = part.get_filename()
         if filename:
             filename = _decode_header(filename)
+            if ct == "message/rfc822" and not re.search(r"\.[A-Za-z0-9]{1,8}$", filename):
+                filename = f"{filename}.eml"
         else:
             # Inline images, etc. - generate a name
-            ext = ct.split("/")[-1] if "/" in ct else "bin"
+            ext = "eml" if ct == "message/rfc822" else (ct.split("/")[-1] if "/" in ct else "bin")
             filename = f"attachment_{idx}.{ext}"
         payload = part.get_payload(decode=True)
-        size = len(payload) if payload else 0
+        if payload is None and ct == "message/rfc822":
+            try:
+                payload = part.as_bytes()
+            except Exception:
+                payload = b""
+        size = len(payload) if payload is not None else 0
+        content_id = (part.get("Content-ID") or "").strip().strip("<>")
         attachments.append({
             "index": idx,
             "filename": filename,
             "content_type": ct,
             "size": size,
             "is_inline": "inline" in cd.lower(),
+            "content_id": content_id,
         })
         idx += 1
     return attachments
 
 
+def _is_likely_signature_image_attachment(att: dict) -> bool:
+    """Match the reader's inline signature/logo image filter."""
+    filename = str((att or {}).get("filename") or "").lower()
+    if not re.search(r"\.(png|jpe?g|gif|bmp|svg|webp)$", filename):
+        return False
+    size = int((att or {}).get("size") or 0)
+    if re.search(r"^image\d{3,}\.(png|jpe?g|gif)$", filename):
+        return True
+    if re.search(r"^(signature|logo|sig|footer|banner)[-_\d]*\.(png|jpe?g|gif|svg)$", filename):
+        return True
+    return 0 < size < 30 * 1024
+
+
+def _has_visible_attachments(msg) -> bool:
+    """Return True only for attachments the reader will render as chips."""
+    return any(
+        not _is_likely_signature_image_attachment(att)
+        for att in _list_attachments_from_msg(msg)
+    )
+
+
 def _extract_attachment_to_disk(msg, index, target_dir):
     """Extract a specific attachment to disk and return the file path."""
     if not msg.is_multipart():
         return None
     idx = 0
     for part in msg.walk():
-        if part.is_multipart():
-            continue
         cd = str(part.get("Content-Disposition", ""))
         ct = part.get_content_type()
+        is_attached_email = ct == "message/rfc822" and ("attachment" in cd.lower() or part.get_filename())
+        if part.is_multipart() and not is_attached_email:
+            continue
         if ct in ("text/plain", "text/html") and "attachment" not in cd:
             continue
         if idx == index:
             filename = part.get_filename()
             if filename:
                 filename = _decode_header(filename)
+                if ct == "message/rfc822" and not re.search(r"\.[A-Za-z0-9]{1,8}$", filename):
+                    filename = f"{filename}.eml"
             else:
-                ext = ct.split("/")[-1] if "/" in ct else "bin"
+                ext = "eml" if ct == "message/rfc822" else (ct.split("/")[-1] if "/" in ct else "bin")
                 filename = f"attachment_{idx}.{ext}"
             # Sanitize
             safe_name = re.sub(r"[^\w\s\-.]", "_", filename).strip()
             payload = part.get_payload(decode=True)
-            if not payload:
+            if payload is None and ct == "message/rfc822":
+                try:
+                    payload = part.as_bytes()
+                except Exception:
+                    payload = b""
+            if payload is None:
                 return None
             target_dir.mkdir(parents=True, exist_ok=True)
             filepath = target_dir / safe_name
@@ -1664,6 +1861,10 @@ class SendEmailRequest(BaseModel):
     attachments: Optional[List[str]] = None
     # Which account to send from. None = default account.
     account_id: Optional[str] = None
+    # Source message for replies. When present, /send marks this exact message
+    # answered after successful delivery so it leaves undone/reply-soon views.
+    source_uid: Optional[str] = None
+    source_folder: Optional[str] = None
     # Internal marker for Odysseus-generated mail (e.g. reminder, scheduled).
     odysseus_kind: Optional[str] = None
     # If true, /send waits for SMTP + Sent append and returns the sent UID.

routes/email_pollers.py

@@ -29,7 +29,7 @@ from datetime import datetime
 from email.mime.text import MIMEText
 from email.mime.multipart import MIMEMultipart
 
-from src.llm_core import llm_call_async
+from src.task_endpoint import resolve_task_candidates, task_llm_call_async
 
 from routes.email_helpers import (
     _strip_think, _extract_reply, _apply_email_style_mechanics, _load_settings, _save_settings, _get_email_config,
@@ -44,6 +44,46 @@ from routes.email_helpers import (
 
 logger = logging.getLogger(__name__)
 
+# Recovers a `[{"action": ...}, ...]` JSON array from raw LLM output when the
+# fenced-block strip leaves nothing usable. Runs on model output influenced by
+# untrusted email bodies, so it must not backtrack: the object content class is
+# `[^{}]` (brace-delimited, greedy) rather than the old `[^[\]]*?` lazy runs,
+# which exploded exponentially on inputs like `[{"action"},{` + `}},{{` * N
+# (CodeQL py/redos #198).
+_CAL_ACTION_ARRAY_RE = re.compile(
+    r'\[\s*\{[^{}]*"action"[^{}]*\}\s*(?:,\s*\{[^{}]*\}\s*)*\]',
+    re.DOTALL,
+)
+
+
+def _extract_json_array_from_text(text: str):
+    """Return the last valid JSON array embedded in model output, if any."""
+    if not text:
+        return None
+    cleaned = re.sub(r"^```(?:json)?\s*|\s*```$", "", text.strip(), flags=re.MULTILINE).strip()
+    decoder = json.JSONDecoder()
+    try:
+        parsed = decoder.decode(cleaned)
+        if isinstance(parsed, list):
+            return parsed
+    except Exception:
+        pass
+
+    # Models often explain themselves and finish with `[]` or `[{"action":...}]`.
+    # Scan every array opener and keep the last complete JSON array, rather than
+    # using a greedy regex that can swallow prose containing square brackets.
+    last = None
+    for idx, ch in enumerate(cleaned):
+        if ch != "[":
+            continue
+        try:
+            parsed, _end = decoder.raw_decode(cleaned[idx:])
+        except Exception:
+            continue
+        if isinstance(parsed, list):
+            last = parsed
+    return last
+
 
 def _owner_for_email_account(account_id: str | None) -> str:
     if not account_id:
@@ -77,6 +117,8 @@ async def _run_auto_summarize_once(do_summary: bool = True, do_reply: bool = Tru
                                    do_tag: bool = False, do_spam: bool = False,
                                    do_calendar: bool = False,
                                    days_back: int = 1,
+                                   account_id: str | None = None,
+                                   max_process: int | None = None,
                                    progress_cb=None) -> str:
     """One iteration of the email scan. Temporarily flips settings flags
     so the existing background-loop logic runs exactly once for the requested ops."""
@@ -91,7 +133,12 @@ async def _run_auto_summarize_once(do_summary: bool = True, do_reply: bool = Tru
     settings["email_auto_calendar"] = bool(do_calendar)
     _save_settings(settings)
     try:
-        return await _auto_summarize_pass(days_back=days_back, progress_cb=progress_cb)
+        return await _auto_summarize_pass(
+            days_back=days_back,
+            account_id=account_id,
+            max_process=max_process,
+            progress_cb=progress_cb,
+        )
     finally:
         s2 = _load_settings()
         for k, v in prev.items():
@@ -129,7 +176,7 @@ def _latest_inbox_fallback_uids(conn, reconnect):
         return [], reconnect()
 
 
-async def _auto_summarize_pass(days_back: int = 1, account_id: str | None = None, progress_cb=None) -> str:
+async def _auto_summarize_pass(days_back: int = 1, account_id: str | None = None, max_process: int | None = None, progress_cb=None) -> str:
     """Single pass of the auto-summarize/reply scan.
 
     When account_id is None, iterates over every enabled account in
@@ -156,28 +203,41 @@ async def _auto_summarize_pass(days_back: int = 1, account_id: str | None = None
             names = {}
         if len(ids) <= 1:
             # Single-account (or zero rows — fallback to legacy settings.json lookup)
-            return await _auto_summarize_pass_single(days_back=days_back, account_id=(ids[0] if ids else None), progress_cb=progress_cb)
+            return await _auto_summarize_pass_single(
+                days_back=days_back,
+                account_id=(ids[0] if ids else None),
+                max_process=max_process,
+                progress_cb=progress_cb,
+            )
         outs = []
         for idx, aid in enumerate(ids, start=1):
             try:
                 await _emit_progress(progress_cb, f"{names.get(aid, aid[:8])}: starting ({idx}/{len(ids)})")
-                result = await _auto_summarize_pass_single(days_back=days_back, account_id=aid, progress_cb=progress_cb)
+                result = await _auto_summarize_pass_single(
+                    days_back=days_back,
+                    account_id=aid,
+                    max_process=max_process,
+                    progress_cb=progress_cb,
+                )
                 outs.append(f"[{names.get(aid, aid[:8])}] {result}")
             except Exception as e:
                 logger.warning(f"auto-summarize pass failed for account {aid}: {e}")
                 outs.append(f"[{names.get(aid, aid[:8])}] error: {e}")
         return "\n".join(outs)
-    return await _auto_summarize_pass_single(days_back=days_back, account_id=account_id, progress_cb=progress_cb)
+    return await _auto_summarize_pass_single(
+        days_back=days_back,
+        account_id=account_id,
+        max_process=max_process,
+        progress_cb=progress_cb,
+    )
 
 
-async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None = None, progress_cb=None) -> str:
+async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None = None, max_process: int | None = None, progress_cb=None) -> str:
     """Single pass of the auto-summarize/reply scan for ONE account.
     Reads current settings flags."""
     import asyncio
     import sqlite3 as _sql3
-    import requests as _req
-    from src.endpoint_resolver import resolve_endpoint
-    from src.llm_core import _uses_max_completion_tokens, _restricts_temperature
+    from src.llm_core import _uses_max_completion_tokens
 
     settings = _load_settings()
     auto_sum = settings.get("email_auto_summarize", False)
@@ -254,9 +314,15 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
         ).fetchall()}
         if auto_tag or auto_spam:
             if account_owner:
-                _tag_existing = {r[0] for r in _c.execute("SELECT message_id FROM email_tags WHERE owner=?", (account_owner,)).fetchall()}
+                _tag_existing = {r[0] for r in _c.execute(
+                    "SELECT message_id FROM email_tags WHERE owner=? AND (account_id=? OR account_id='' OR account_id IS NULL)",
+                    (account_owner, account_id or ""),
+                ).fetchall()}
             else:
-                _tag_existing = {r[0] for r in _c.execute("SELECT message_id FROM email_tags WHERE owner='' OR owner IS NULL").fetchall()}
+                _tag_existing = {r[0] for r in _c.execute(
+                    "SELECT message_id FROM email_tags WHERE (owner='' OR owner IS NULL) AND (account_id=? OR account_id='' OR account_id IS NULL)",
+                    (account_id or "",),
+                ).fetchall()}
         else:
             _tag_existing = set()
         _cal_existing = {r[0] for r in _c.execute(
@@ -285,11 +351,10 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
         if auto_spam and not spam_folder:
             logger.warning("Auto-spam enabled but no Junk/Spam folder detected — will classify but not move")
 
-        url, model, headers = resolve_endpoint("utility", owner=account_owner)
-        if not url:
-            url, model, headers = resolve_endpoint("default", owner=account_owner)
-        if not url or not model:
+        task_candidates = resolve_task_candidates(owner=account_owner)
+        if not task_candidates:
             return "No model configured"
+        url, model, headers = task_candidates[0]
 
         writing_style = settings.get("email_writing_style", "")
         processed = 0
@@ -303,7 +368,14 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
         _reply_failed = 0
         _detail_lines = []
         _current_folder = "INBOX"
-        _max_process = 5
+        # Calendar extraction is sequential and each row can involve a model
+        # call plus a calendar write. Keep the scheduled calendar-only pass
+        # below the 5-minute action budget instead of timing out mid-run.
+        _default_max_process = 3 if (auto_cal and not auto_sum and not auto_reply and not auto_tag and not auto_spam) else 5
+        try:
+            _max_process = max(1, int(max_process)) if max_process is not None else _default_max_process
+        except Exception:
+            _max_process = _default_max_process
         for _entry in uid_list:
             if processed >= _max_process:
                 break
@@ -395,48 +467,30 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                     req_headers.update(headers)
 
                 if need_sum:
-                    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 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."},
-                            {"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: 16384,
-                        "temperature": 0.3,
-                        "stream": False,
-                    }
-                    # Reasoning models (o1/o3/o4/gpt-5) reject an explicit temperature.
-                    if _restricts_temperature(model):
-                        payload.pop("temperature", None)
                     try:
-                        # Use to_thread so this sync HTTP call doesn't freeze
-                        # the entire event loop while the LLM thinks (240s).
-                        resp = await asyncio.to_thread(
-                            _req.post, url, json=payload, headers=req_headers, timeout=240
+                        summary = await task_llm_call_async(
+                            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 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."},
+                                {"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>>>."},
+                            ],
+                            fallback_url=url, fallback_model=model, fallback_headers=headers,
+                            owner=account_owner or None,
+                            temperature=0.3, max_tokens=16384, timeout=240,
                         )
-                        if resp.ok:
-                            rdata = resp.json()
-                            m = (rdata.get("choices") or [{}])[0].get("message", {})
-                            summary = (m.get("content") or "").strip()
-                            summary = _extract_reply(summary)
-                            if not summary:
-                                rc = (m.get("reasoning_content") or "").strip()
-                                bullets = [ln.strip() for ln in rc.split("\n") if re.match(r"^[-•*]\s+|^\d+[.)]\s+", ln.strip())]
-                                summary = "\n".join(bullets) if bullets else ""
-                            if summary:
-                                _c = _sql3.connect(SCHEDULED_DB)
-                                _c.execute("""
-                                    INSERT OR REPLACE INTO email_summaries
-                                    (message_id, owner, uid, folder, subject, sender, summary, model_used, created_at)
-                                    VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
-                                """, (message_id, account_owner or "", uid.decode() if isinstance(uid, bytes) else str(uid), _folder, subject, sender, summary, model, datetime.utcnow().isoformat()))
-                                _c.commit()
-                                _c.close()
-                                _sum_existing.add(message_id)
-                                _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)'}")
+                        summary = _extract_reply((summary or "").strip())
+                        if summary:
+                            _c = _sql3.connect(SCHEDULED_DB)
+                            _c.execute("""
+                                INSERT OR REPLACE INTO email_summaries
+                                (message_id, owner, uid, folder, subject, sender, summary, model_used, created_at)
+                                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+                            """, (message_id, account_owner or "", uid.decode() if isinstance(uid, bytes) else str(uid), _folder, subject, sender, summary, model, datetime.utcnow().isoformat()))
+                            _c.commit()
+                            _c.close()
+                            _sum_existing.add(message_id)
+                            _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)'}")
                     except Exception as e:
                         _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)'}")
@@ -457,14 +511,14 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                     if context_snippets:
                         sys_prompt += "\n\nRELEVANT CONTEXT FROM PAST EMAILS AND CONTACTS:\n" + "\n\n---\n\n".join(context_snippets[:5])
                     try:
-                        reply = await llm_call_async(
-                            url=url, model=model,
+                        reply = await task_llm_call_async(
                             messages=[
                                 {"role": "system", "content": sys_prompt},
                                 {"role": "user", "content": f"Original email:\nFrom: {sender}\nSubject: {subject}\n\n{body_for_llm[:12000]}\n\nDraft a reply. Return only the reply body text."},
                             ],
-                            temperature=0.7, max_tokens=1024,
-                            headers=req_headers, timeout=90,
+                            fallback_url=url, fallback_model=model, fallback_headers=headers,
+                            owner=account_owner or None,
+                            temperature=0.7, max_tokens=1024, timeout=90,
                         )
                         reply = _apply_email_style_mechanics(_extract_reply(reply or ""))
                         if reply:
@@ -491,6 +545,8 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                 # ── Calendar event extraction (independent of reply drafting) ──
                 if need_cal:
                     _cal_run_count = 0
+                    _cal_event_uids = []
+                    _cal_parse_ok = False
                     try:
                         # Pull a snapshot of upcoming events so the LLM can decide
                         # create vs update vs cancel based on what already exists.
@@ -499,8 +555,7 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                         _existing_summary = get_upcoming_events(_acct_owner, horizon_days=60, limit=40)
                         existing_json = json.dumps(_existing_summary)
                         is_sent = _folder.lower().startswith("sent") or "sent" in _folder.lower()
-                        cal_extract = await llm_call_async(
-                            url=url, model=model,
+                        cal_extract = await task_llm_call_async(
                             messages=[
                                 {"role": "system", "content": (
                                     "You are a calendar assistant. The user receives emails AND sends replies "
@@ -551,21 +606,22 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                                     f"{body[:4000]}"
                                 )},
                             ],
-                            temperature=0.1, max_tokens=16384,
-                            headers=req_headers, timeout=180,
+                            fallback_url=url, fallback_model=model, fallback_headers=headers,
+                            owner=account_owner or None,
+                            temperature=0.1, max_tokens=16384, timeout=75,
                         )
                         _raw_original = cal_extract or ""
                         cal_extract = _strip_think(_raw_original)
                         cal_extract = re.sub(r"^```(?:json)?\s*|\s*```$", "", cal_extract, flags=re.MULTILINE).strip()
                         if not cal_extract and _raw_original:
-                            matches = list(re.finditer(r'\[\s*\{[^[\]]*?"action"[^[\]]*?\}\s*(?:,\s*\{[^[\]]*?\}\s*)*\]', _raw_original, re.DOTALL))
+                            matches = list(_CAL_ACTION_ARRAY_RE.finditer(_raw_original))
                             if matches:
                                 cal_extract = matches[-1].group()
                         logger.info(f"[cal-extract] uid={uid.decode() if isinstance(uid, bytes) else uid} folder={_folder} subj={subject[:50]!r} raw_len={len(cal_extract)} orig_len={len(_raw_original)} raw={cal_extract[:800]!r}")
-                        jm = re.search(r'\[.*\]', cal_extract, re.DOTALL)
-                        if jm:
+                        ops = _extract_json_array_from_text(cal_extract)
+                        if ops is not None:
                             try:
-                                ops = json.loads(jm.group())
+                                _cal_parse_ok = True
                                 logger.info(f"[cal-extract] parsed {len(ops)} op(s)")
                                 if isinstance(ops, list) and ops:
                                     from src.tool_implementations import do_manage_calendar
@@ -595,6 +651,8 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                                             r = await do_manage_calendar(json.dumps(args), owner=_acct_owner)
                                             if r.get("exit_code", 0) == 0:
                                                 logger.info(f"[cal-extract] Updated event uid={cuid} → {op.get('title')} {op['date']}")
+                                                if cuid and cuid not in _cal_event_uids:
+                                                    _cal_event_uids.append(cuid)
                                                 _cal_run_count += 1
                                             else:
                                                 logger.warning(f"[cal-extract] update failed: {r.get('error')}")
@@ -675,28 +733,43 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                                             r = await do_manage_calendar(cal_args, owner=_acct_owner)
                                             if r.get("exit_code", 0) == 0:
                                                 logger.info(f"[cal-extract] Created event: {op['title']} on {op['date']}")
+                                                _created_uid = (r.get("uid") or "").strip()
+                                                if _created_uid and _created_uid not in _cal_event_uids:
+                                                    _cal_event_uids.append(_created_uid)
                                                 _events_created += 1
                                                 _cal_run_count += 1
                                             else:
                                                 logger.warning(f"[cal-extract] create failed: {r.get('error')} args={cal_args[:200]}")
                             except Exception as je:
                                 logger.warning(f"[cal-extract] JSON parse failed: {je} on raw={cal_extract[:200]!r}")
+                        else:
+                            logger.warning(f"[cal-extract] no JSON array found on raw={cal_extract[:200]!r}")
                     except Exception as e:
                         logger.warning(f"[cal-extract] Meeting extraction LLM call failed for uid={uid}: {e}")
-                    # Record we processed this email so we don't re-LLM next run
-                    try:
-                        _cc = _sql3.connect(SCHEDULED_DB)
-                        _cc.execute(
-                            "INSERT OR REPLACE INTO email_calendar_extractions "
-                            "(message_id, owner, uid, events_created, created_at) VALUES (?, ?, ?, ?, ?)",
-                            (message_id, account_owner or "", uid.decode() if isinstance(uid, bytes) else str(uid),
-                             _cal_run_count, datetime.utcnow().isoformat())
-                        )
-                        _cc.commit()
-                        _cc.close()
-                        _cal_existing.add(message_id)
-                    except Exception as ce:
-                        logger.debug(f"Could not cache calendar extraction: {ce}")
+                    else:
+                        # Record successfully parsed results so we don't re-LLM
+                        # no-op emails. Transient LLM failures are retried on
+                        # the next poll run.
+                        try:
+                            if _cal_parse_ok:
+                                _cc = _sql3.connect(SCHEDULED_DB)
+                                _cc.execute(
+                                    "INSERT OR REPLACE INTO email_calendar_extractions "
+                                    "(message_id, owner, uid, event_uids, events_created, created_at) VALUES (?, ?, ?, ?, ?, ?)",
+                                    (
+                                        message_id,
+                                        account_owner or "",
+                                        uid.decode() if isinstance(uid, bytes) else str(uid),
+                                        json.dumps(_cal_event_uids),
+                                        _cal_run_count,
+                                        datetime.utcnow().isoformat(),
+                                    ),
+                                )
+                                _cc.commit()
+                                _cc.close()
+                                _cal_existing.add(message_id)
+                        except Exception as ce:
+                            logger.debug(f"Could not cache calendar extraction: {ce}")
 
                 if need_urgent:
                     try:
@@ -728,9 +801,11 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                             "temperature": 0,
                             tok_key: 200,
                         }
-                        urg_raw = await llm_call_async(
-                            url=url, model=model, messages=payload["messages"],
-                            temperature=0, max_tokens=200, headers=req_headers, timeout=60,
+                        urg_raw = await task_llm_call_async(
+                            messages=payload["messages"],
+                            fallback_url=url, fallback_model=model, fallback_headers=headers,
+                            owner=account_owner or None,
+                            temperature=0, max_tokens=200, timeout=60,
                         )
                         urg_raw = _strip_think(urg_raw or "")
                         urg_raw = re.sub(r"^```(?:json)?\s*|\s*```$", "", urg_raw, flags=re.MULTILINE).strip()
@@ -831,8 +906,13 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                         class_sys = (
                             "Classify the email. Return ONLY a JSON object, no prose, no markdown fences. "
                             "Schema: {\"tags\": [\"tag1\"], \"spam\": false, \"reason\": \"short\"}. "
-                            "Pick 1-2 tags from: work, personal, finance, bills, receipt, travel, "
-                            "newsletter, promo, notification, security, social, shopping, calendar.\n\n"
+                            "Pick 1-3 tags from: work, personal, urgent, action-needed, finance, bills, "
+                            "receipt, legal, travel, newsletter, promo, notification, security, social, "
+                            "shopping, calendar, support.\n\n"
+                            "Use work for professional/company/client/operations messages. "
+                            "Use personal for friends/family/private-life messages. "
+                            "Use urgent for real time-sensitive consequences. "
+                            "Use action-needed when the user likely needs to reply, pay, sign, book, or decide.\n\n"
                             "Set spam=true for ANY of:\n"
                             "- Phishing, scams, chain mail, deceptive offers\n"
                             "- Marketing/promotional blasts (\"special offer\", \"limited time\", discount codes)\n"
@@ -849,70 +929,55 @@ async def _auto_summarize_pass_single(days_back: int = 1, account_id: str | None
                             "If it's a mass-mailed generic update with no personal CTA, mark spam=true even if from a legitimate service. "
                             "Reason should be 5-10 words."
                         )
-                        tok_key = "max_completion_tokens" if _uses_max_completion_tokens(model) else "max_tokens"
-                        payload = {
-                            "model": model,
-                            "messages": [
+                        raw_out = await task_llm_call_async(
+                            messages=[
                                 {"role": "system", "content": class_sys},
                                 {"role": "user", "content": f"From: {sender}\nSubject: {subject}\n\n{body[:4000]}"},
                             ],
-                            tok_key: 512,
-                            "temperature": 0.1,
-                            "stream": False,
-                        }
-                        # Reasoning models (o1/o3/o4/gpt-5) reject an explicit temperature.
-                        if _restricts_temperature(model):
-                            payload.pop("temperature", None)
-                        # to_thread keeps the event loop responsive during the LLM call
-                        resp = await asyncio.to_thread(
-                            _req.post, url, json=payload, headers=req_headers, timeout=120
+                            fallback_url=url, fallback_model=model, fallback_headers=headers,
+                            owner=account_owner or None,
+                            temperature=0.1, max_tokens=512, timeout=120,
                         )
-                        if not resp.ok:
-                            logger.warning(f"Auto-classify {uid.decode() if isinstance(uid, bytes) else str(uid)} HTTP {resp.status_code}: {resp.text[:200]}")
-                        else:
-                            rdata = resp.json()
-                            m = (rdata.get("choices") or [{}])[0].get("message", {})
-                            raw_out = (m.get("content") or "").strip()
-                            raw_out = _strip_think(raw_out)
-                            raw_out = re.sub(r"^```(?:json)?\s*|\s*```$", "", raw_out, flags=re.MULTILINE).strip()
-                            jm = re.search(r'\{.*\}', raw_out, re.DOTALL)
-                            parsed = None
-                            if jm:
-                                try:
-                                    parsed = json.loads(jm.group(0))
-                                except Exception:
-                                    parsed = None
-                            if parsed is not None:
-                                _ALLOWED_TAGS = {"work","personal","finance","bills","receipt","travel",
-                                                 "newsletter","marketing","notification","security","social",
-                                                 "shopping","calendar"}
-                                raw_tags = parsed.get("tags") or []
-                                if isinstance(raw_tags, str):
-                                    raw_tags = [raw_tags]
-                                tags = [t.strip().lower().replace("_", "-") for t in raw_tags if isinstance(t, str)]
-                                tags = ["marketing" if t == "promo" else t for t in tags]
-                                tags = [t for t in tags if t in _ALLOWED_TAGS][:2]
-                                is_spam = bool(parsed.get("spam"))
-                                spam_reason = str(parsed.get("reason") or "")[:200]
+                        raw_out = _strip_think((raw_out or "").strip())
+                        raw_out = re.sub(r"^```(?:json)?\s*|\s*```$", "", raw_out, flags=re.MULTILINE).strip()
+                        jm = re.search(r'\{.*\}', raw_out, re.DOTALL)
+                        parsed = None
+                        if jm:
+                            try:
+                                parsed = json.loads(jm.group(0))
+                            except Exception:
+                                parsed = None
+                        if parsed is not None:
+                            _ALLOWED_TAGS = {"work","personal","urgent","action-needed","finance","bills",
+                                             "receipt","legal","travel","newsletter","marketing","notification",
+                                             "security","social","shopping","calendar","support"}
+                            raw_tags = parsed.get("tags") or []
+                            if isinstance(raw_tags, str):
+                                raw_tags = [raw_tags]
+                            tags = [t.strip().lower().replace("_", "-") for t in raw_tags if isinstance(t, str)]
+                            tags = ["marketing" if t == "promo" else t for t in tags]
+                            tags = [t for t in tags if t in _ALLOWED_TAGS][:3]
+                            is_spam = bool(parsed.get("spam"))
+                            spam_reason = str(parsed.get("reason") or "")[:200]
 
-                                moved_to = ""
-                                if is_spam and auto_spam and spam_folder:
-                                    if _imap_move(uid, spam_folder, account_id=account_id, owner=account_owner):
-                                        moved_to = spam_folder
-                                        logger.info(f"Auto-spam moved uid={uid.decode() if isinstance(uid, bytes) else str(uid)} to {spam_folder}: {spam_reason}")
+                            moved_to = ""
+                            if is_spam and auto_spam and spam_folder:
+                                if _imap_move(uid, spam_folder, account_id=account_id, owner=account_owner):
+                                    moved_to = spam_folder
+                                    logger.info(f"Auto-spam moved uid={uid.decode() if isinstance(uid, bytes) else str(uid)} to {spam_folder}: {spam_reason}")
 
-                                _c = _sql3.connect(SCHEDULED_DB)
-                                _c.execute("""
-                                    INSERT OR REPLACE INTO email_tags
-                                    (message_id, owner, uid, folder, subject, sender, tags, spam_verdict,
-                                     spam_reason, moved_to, model_used, created_at)
-                                    VALUES (?, ?, ?, 'INBOX', ?, ?, ?, ?, ?, ?, ?, ?)
-                                """, (message_id, account_owner or "", uid.decode() if isinstance(uid, bytes) else str(uid), subject, sender,
-                                      json.dumps(tags), 1 if is_spam else 0,
-                                      spam_reason, moved_to, model, datetime.utcnow().isoformat()))
-                                _c.commit()
-                                _c.close()
-                                _tag_existing.add(message_id)
+                            _c = _sql3.connect(SCHEDULED_DB)
+                            _c.execute("""
+                                INSERT OR REPLACE INTO email_tags
+                                (message_id, owner, account_id, uid, folder, subject, sender, tags, spam_verdict,
+                                 spam_reason, moved_to, model_used, created_at)
+                                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                            """, (message_id, account_owner or "", account_id or "", uid.decode() if isinstance(uid, bytes) else str(uid), _folder, subject, sender,
+                                  json.dumps(tags), 1 if is_spam else 0,
+                                  spam_reason, moved_to, model, datetime.utcnow().isoformat()))
+                            _c.commit()
+                            _c.close()
+                            _tag_existing.add(message_id)
                     except Exception as e:
                         logger.warning(f"Auto-classify {uid} failed: {e}")
 

routes/gallery/__init__.py

@@ -0,0 +1,6 @@
+"""Gallery route domain package (slice 2a, #4082/#4071).
+
+Contains gallery_routes.py and gallery_helpers.py, migrated from the flat
+routes/ directory. Backward-compat shims at routes/gallery_routes.py and
+routes/gallery_helpers.py re-export from here.
+"""

routes/gallery/gallery_helpers.py

@@ -0,0 +1,145 @@
+"""gallery_helpers.py — extracted helpers, models, and small utilities.
+
+Imported by gallery_routes.py."""
+
+"""Gallery routes — browsable library for photos and AI-generated images."""
+
+import logging
+from datetime import datetime
+from typing import Dict, Any, Optional
+
+from pydantic import BaseModel
+
+from core.database import GalleryImage
+from src.auth_helpers import _auth_disabled
+
+logger = logging.getLogger(__name__)
+
+
+# ---- Request schemas ----
+
+class GalleryPatch(BaseModel):
+    tags: Optional[str] = None
+    favorite: Optional[bool] = None
+    album_id: Optional[str] = None
+
+
+# ---- EXIF extraction ----
+
+def _extract_exif(content: bytes) -> dict:
+    """Extract EXIF metadata from image bytes. Returns dict of fields."""
+    result = {"width": None, "height": None}
+    try:
+        from PIL import Image
+        from io import BytesIO
+        img = Image.open(BytesIO(content))
+        # Read the raw EXIF before any transpose: exif_transpose strips the
+        # orientation tag and with it the parsed EXIF view.
+        exif = img._getexif() if hasattr(img, '_getexif') else None
+
+        # Record DISPLAY dimensions (EXIF-rotated), matching upload_handler.
+        # A phone photo with Orientation 6/8 is stored landscape but shown
+        # portrait, so the raw width/height swap the aspect ratio.
+        try:
+            from PIL import ImageOps
+            img = ImageOps.exif_transpose(img) or img
+        except Exception:
+            pass
+        result["width"] = img.width
+        result["height"] = img.height
+
+        if not exif:
+            return result
+
+        # EXIF tag IDs
+        # 271=Make, 272=Model, 306=DateTime, 36867=DateTimeOriginal
+        # 34853=GPSInfo
+        result["camera_make"] = str(exif.get(271, "")).strip() or None
+        result["camera_model"] = str(exif.get(272, "")).strip() or None
+
+        # Date taken
+        for tag_id in (36867, 36868, 306):  # DateTimeOriginal, DateTimeDigitized, DateTime
+            raw = exif.get(tag_id)
+            if raw:
+                try:
+                    result["taken_at"] = datetime.strptime(str(raw).strip(), "%Y:%m:%d %H:%M:%S")
+                    break
+                except (ValueError, TypeError):
+                    pass
+
+        # GPS
+        gps_info = exif.get(34853)
+        if gps_info and isinstance(gps_info, dict):
+            try:
+                def _to_deg(vals):
+                    d, m, s = [float(v) for v in vals]
+                    return d + m / 60 + s / 3600
+                if 2 in gps_info and 4 in gps_info:
+                    lat = _to_deg(gps_info[2])
+                    lng = _to_deg(gps_info[4])
+                    if gps_info.get(1) == 'S': lat = -lat
+                    if gps_info.get(3) == 'W': lng = -lng
+                    result["gps_lat"] = f"{lat:.6f}"
+                    result["gps_lng"] = f"{lng:.6f}"
+            except Exception:
+                pass
+    except Exception as e:
+        # User-visible failure (photo loses metadata): surface at WARNING
+        # and record on the result so the upload endpoint can pass it back.
+        logger.warning(f"EXIF extraction failed: {e}")
+        result["exif_error"] = str(e)
+    return result
+
+
+# ---- Helpers ----
+
+def _image_to_dict(img: GalleryImage, session_name: str = None) -> Dict[str, Any]:
+    return {
+        "id": img.id,
+        "filename": img.filename,
+        "url": f"/api/generated-image/{img.filename}",
+        "prompt": img.prompt,
+        "caption": img.caption or "",
+        "model": img.model,
+        "size": img.size,
+        "quality": img.quality,
+        "tags": img.tags or "",
+        "ai_tags": img.ai_tags or "",
+        "user_tags": img.tags or "",
+        "session_id": img.session_id,
+        "session_name": session_name,
+        "album_id": img.album_id,
+        "is_active": img.is_active,
+        "favorite": img.favorite or False,
+        "taken_at": img.taken_at.isoformat() if img.taken_at else None,
+        "camera": f"{img.camera_make or ''} {img.camera_model or ''}".strip() or None,
+        "gps": {"lat": img.gps_lat, "lng": img.gps_lng} if img.gps_lat else None,
+        "width": img.width,
+        "height": img.height,
+        "file_size": img.file_size,
+        "created_at": img.created_at.isoformat() if img.created_at else None,
+        "updated_at": img.updated_at.isoformat() if img.updated_at else None,
+    }
+
+
+def _owner_filter(q, user, model_cls=GalleryImage):
+    """Apply owner filtering to a gallery query.
+
+    ``get_current_user`` returns None both in auth-disabled single-user mode
+    and when auth is enabled but no current user was resolved. Preserve the
+    single-user behavior, but fail closed for auth-enabled null-user states.
+    """
+    if user is not None:
+        return q.filter(model_cls.owner == user)
+    if _auth_disabled():
+        return q
+    return q.filter(False)
+
+
+
+def _human_size(nbytes):
+    for unit in ['B', 'KB', 'MB', 'GB', 'TB']:
+        if abs(nbytes) < 1024:
+            return f"{nbytes:.1f} {unit}"
+        nbytes /= 1024
+    return f"{nbytes:.1f} PB"

routes/gallery_helpers.py

@@ -1,144 +1,14 @@
-"""gallery_helpers.py — extracted helpers, models, and small utilities.
+"""Backward-compat shim - canonical location is routes/gallery/gallery_helpers.py.
 
-Imported by gallery_routes.py."""
+This module is replaced in ``sys.modules`` by the canonical module object so
+that ``import routes.gallery_helpers``, ``from routes.gallery_helpers import X``,
+``importlib.import_module("routes.gallery_helpers")``, and
+``monkeypatch.setattr(routes.gallery_helpers, ...)`` all operate on the same
+object. Keeps existing import paths working after slice 2a (#4082/#4071).
+"""
 
-"""Gallery routes — browsable library for photos and AI-generated images."""
+import sys as _sys
 
-import logging
-from datetime import datetime
-from typing import Dict, Any, Optional
+from routes.gallery import gallery_helpers as _canonical  # noqa: F401
 
-from pydantic import BaseModel
-
-from core.database import GalleryImage
-from src.auth_helpers import _auth_disabled
-
-logger = logging.getLogger(__name__)
-
-
-# ---- Request schemas ----
-
-class GalleryPatch(BaseModel):
-    tags: Optional[str] = None
-    favorite: Optional[bool] = None
-    album_id: Optional[str] = None
-
-
-# ---- EXIF extraction ----
-
-def _extract_exif(content: bytes) -> dict:
-    """Extract EXIF metadata from image bytes. Returns dict of fields."""
-    result = {"width": None, "height": None}
-    try:
-        from PIL import Image
-        from io import BytesIO
-        img = Image.open(BytesIO(content))
-        # Read the raw EXIF before any transpose: exif_transpose strips the
-        # orientation tag and with it the parsed EXIF view.
-        exif = img._getexif() if hasattr(img, '_getexif') else None
-
-        # Record DISPLAY dimensions (EXIF-rotated), matching upload_handler.
-        # A phone photo with Orientation 6/8 is stored landscape but shown
-        # portrait, so the raw width/height swap the aspect ratio.
-        try:
-            from PIL import ImageOps
-            img = ImageOps.exif_transpose(img) or img
-        except Exception:
-            pass
-        result["width"] = img.width
-        result["height"] = img.height
-
-        if not exif:
-            return result
-
-        # EXIF tag IDs
-        # 271=Make, 272=Model, 306=DateTime, 36867=DateTimeOriginal
-        # 34853=GPSInfo
-        result["camera_make"] = str(exif.get(271, "")).strip() or None
-        result["camera_model"] = str(exif.get(272, "")).strip() or None
-
-        # Date taken
-        for tag_id in (36867, 36868, 306):  # DateTimeOriginal, DateTimeDigitized, DateTime
-            raw = exif.get(tag_id)
-            if raw:
-                try:
-                    result["taken_at"] = datetime.strptime(str(raw).strip(), "%Y:%m:%d %H:%M:%S")
-                    break
-                except (ValueError, TypeError):
-                    pass
-
-        # GPS
-        gps_info = exif.get(34853)
-        if gps_info and isinstance(gps_info, dict):
-            try:
-                def _to_deg(vals):
-                    d, m, s = [float(v) for v in vals]
-                    return d + m / 60 + s / 3600
-                if 2 in gps_info and 4 in gps_info:
-                    lat = _to_deg(gps_info[2])
-                    lng = _to_deg(gps_info[4])
-                    if gps_info.get(1) == 'S': lat = -lat
-                    if gps_info.get(3) == 'W': lng = -lng
-                    result["gps_lat"] = f"{lat:.6f}"
-                    result["gps_lng"] = f"{lng:.6f}"
-            except Exception:
-                pass
-    except Exception as e:
-        # User-visible failure (photo loses metadata): surface at WARNING
-        # and record on the result so the upload endpoint can pass it back.
-        logger.warning(f"EXIF extraction failed: {e}")
-        result["exif_error"] = str(e)
-    return result
-
-
-# ---- Helpers ----
-
-def _image_to_dict(img: GalleryImage, session_name: str = None) -> Dict[str, Any]:
-    return {
-        "id": img.id,
-        "filename": img.filename,
-        "url": f"/api/generated-image/{img.filename}",
-        "prompt": img.prompt,
-        "model": img.model,
-        "size": img.size,
-        "quality": img.quality,
-        "tags": img.tags or "",
-        "ai_tags": img.ai_tags or "",
-        "user_tags": img.tags or "",
-        "session_id": img.session_id,
-        "session_name": session_name,
-        "album_id": img.album_id,
-        "is_active": img.is_active,
-        "favorite": img.favorite or False,
-        "taken_at": img.taken_at.isoformat() if img.taken_at else None,
-        "camera": f"{img.camera_make or ''} {img.camera_model or ''}".strip() or None,
-        "gps": {"lat": img.gps_lat, "lng": img.gps_lng} if img.gps_lat else None,
-        "width": img.width,
-        "height": img.height,
-        "file_size": img.file_size,
-        "created_at": img.created_at.isoformat() if img.created_at else None,
-        "updated_at": img.updated_at.isoformat() if img.updated_at else None,
-    }
-
-
-def _owner_filter(q, user, model_cls=GalleryImage):
-    """Apply owner filtering to a gallery query.
-
-    ``get_current_user`` returns None both in auth-disabled single-user mode
-    and when auth is enabled but no current user was resolved. Preserve the
-    single-user behavior, but fail closed for auth-enabled null-user states.
-    """
-    if user is not None:
-        return q.filter(model_cls.owner == user)
-    if _auth_disabled():
-        return q
-    return q.filter(False)
-
-
-
-def _human_size(nbytes):
-    for unit in ['B', 'KB', 'MB', 'GB', 'TB']:
-        if abs(nbytes) < 1024:
-            return f"{nbytes:.1f} {unit}"
-        nbytes /= 1024
-    return f"{nbytes:.1f} PB"
+_sys.modules[__name__] = _canonical

routes/history/__init__.py

@@ -0,0 +1,5 @@
+"""History route domain package (slice 2d, #4082/#4071).
+
+Contains history_routes.py, migrated from the flat routes/ directory.
+Backward-compat shim at routes/history_routes.py re-exports from here.
+"""

routes/history/history_routes.py

@@ -0,0 +1,768 @@
+"""History routes — session history, truncation, fork, conversation topics."""
+
+import json
+import uuid
+import logging
+import re
+from typing import Dict, Any, Optional
+
+from fastapi import APIRouter, Request, HTTPException
+
+from core.models import ChatMessage
+from core.database import SessionLocal, ChatMessage as DbChatMessage, Session as DbSession
+from src.topic_analyzer import analyze_topics
+from routes.session_routes import (
+    _message_role,
+    _message_text,
+    _reject_compact_during_active_run,
+    _verify_session_owner,
+)
+
+logger = logging.getLogger(__name__)
+
+_HISTORY_INLINE_MEDIA_THRESHOLD = 200_000
+_DATA_IMAGE_RE = re.compile(r"data:image/[^;,\"]+;base64,[A-Za-z0-9+/=\s]+")
+
+
+def _history_display_content(content: Any) -> Any:
+    """Return a lightweight browser-display copy of stored message content.
+
+    Older multimodal user messages may be persisted as a JSON *string*
+    containing image_url blocks with inline base64 image bytes. Those bytes are
+    needed for model calls when the turn is first sent, but they should not be
+    sent back through /api/history every time the user opens the chat. The
+    attachment metadata already carries file ids/names for the UI cards.
+    """
+    if isinstance(content, list):
+        text_parts = []
+        omitted_media = 0
+        for block in content:
+            if not isinstance(block, dict):
+                continue
+            if block.get("type") == "text":
+                text = block.get("text")
+                if isinstance(text, str) and text:
+                    text_parts.append(text)
+            elif block.get("type") in {"image_url", "input_image", "audio", "input_audio"}:
+                omitted_media += 1
+        text = "\n".join(text_parts).strip()
+        if omitted_media and not text:
+            return f"[{omitted_media} media attachment{'s' if omitted_media != 1 else ''} omitted from history view]"
+        return text
+
+    if not isinstance(content, str):
+        return content
+    if len(content) < _HISTORY_INLINE_MEDIA_THRESHOLD and "data:image/" not in content:
+        return content
+
+    stripped = content.lstrip()
+    if stripped.startswith("["):
+        try:
+            blocks = json.loads(content)
+        except (json.JSONDecodeError, TypeError, ValueError):
+            blocks = None
+        if isinstance(blocks, list):
+            text_parts = []
+            for block in blocks:
+                if not isinstance(block, dict):
+                    continue
+                if block.get("type") == "text":
+                    text = block.get("text")
+                    if isinstance(text, str) and text:
+                        text_parts.append(text)
+            if text_parts:
+                return "\n".join(text_parts).strip()
+
+    if "data:image/" in content:
+        return _DATA_IMAGE_RE.sub("[inline image omitted from history view]", content)
+    return content
+
+
+def _merge_continue_rows_to_delete(db_messages, db1, db2):
+    """DB rows to delete when merging the last two assistant messages.
+
+    Always the second assistant message (db2), plus ONLY the single
+    intervening "continue" user message (the one carrying "previous response
+    was interrupted") — matching the in-memory merge. The previous code
+    deleted the whole index range between the two assistant rows, destroying
+    any tool/system/user messages in between and desyncing the DB from the
+    in-memory history.
+    """
+    to_delete = [db2]
+    i1 = next((i for i, m in enumerate(db_messages) if m is db1), None)
+    i2 = next((i for i, m in enumerate(db_messages) if m is db2), None)
+    if i1 is not None and i2 is not None and i2 - 1 > i1:
+        between = db_messages[i2 - 1]
+        if getattr(between, "role", "") == "user" and            "previous response was interrupted" in (getattr(between, "content", "") or ""):
+            to_delete.append(between)
+    return to_delete
+
+
+def setup_history_routes(session_manager) -> APIRouter:
+    router = APIRouter(tags=["history"])
+
+    def _db_history_entry(m: DbChatMessage) -> Dict[str, Any]:
+        entry = {"role": m.role, "content": _history_display_content(m.content)}
+        meta = {}
+        if m.meta_data:
+            try:
+                meta = json.loads(m.meta_data) or {}
+            except (json.JSONDecodeError, ValueError):
+                meta = {}
+        if m.timestamp and "timestamp" not in meta:
+            meta["timestamp"] = m.timestamp.isoformat() + "Z"
+        if meta:
+            entry["metadata"] = meta
+        return entry
+
+    @router.get("/api/history/{session_id}")
+    async def get_session_history(
+        request: Request,
+        session_id: str,
+        limit: Optional[int] = None,
+        offset: Optional[int] = None,
+    ) -> Dict[str, Any]:
+        _verify_session_owner(request, session_id)
+        if limit is not None:
+            page_limit = max(1, min(int(limit), 100))
+            db = SessionLocal()
+            try:
+                db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
+                if db_session is None:
+                    raise HTTPException(404, f"Session '{session_id}' not found")
+
+                total = (
+                    db.query(DbChatMessage)
+                    .filter(DbChatMessage.session_id == session_id)
+                    .count()
+                )
+                page_offset = int(offset) if offset is not None else max(total - page_limit, 0)
+                page_offset = max(0, min(page_offset, total))
+                rows = (
+                    db.query(DbChatMessage)
+                    .filter(DbChatMessage.session_id == session_id)
+                    .order_by(DbChatMessage.timestamp)
+                    .offset(page_offset)
+                    .limit(page_limit)
+                    .all()
+                )
+                history_dict = [
+                    entry for entry in (_db_history_entry(m) for m in rows)
+                    if not (entry.get("metadata") or {}).get("hidden")
+                ]
+                return {
+                    "history": history_dict,
+                    "model": db_session.model,
+                    "endpoint_url": db_session.endpoint_url,
+                    "name": db_session.name,
+                    "offset": page_offset,
+                    "limit": page_limit,
+                    "total": total,
+                    "has_more_before": page_offset > 0,
+                    "has_more_after": page_offset + len(rows) < total,
+                }
+            finally:
+                db.close()
+
+        try:
+            session = session_manager.get_session(session_id)
+        except KeyError:
+            raise HTTPException(404, f"Session '{session_id}' not found")
+
+        history_dict = []
+        for msg in session.history:
+            if isinstance(msg, ChatMessage):
+                # Skip hidden messages (e.g. compaction summaries for AI context)
+                if msg.metadata and msg.metadata.get("hidden"):
+                    continue
+                entry = {"role": msg.role, "content": _history_display_content(msg.content)}
+                if msg.metadata:
+                    entry["metadata"] = msg.metadata
+                history_dict.append(entry)
+            elif isinstance(msg, dict):
+                if msg.get("metadata", {}).get("hidden"):
+                    continue
+                entry = {
+                    "role": msg.get("role", ""),
+                    "content": _history_display_content(msg.get("content", "")),
+                }
+                if msg.get("metadata"):
+                    entry["metadata"] = msg["metadata"]
+                history_dict.append(entry)
+
+        # Fallback: load from DB if in-memory is empty
+        if not history_dict:
+            db = SessionLocal()
+            try:
+                db_messages = (
+                    db.query(DbChatMessage)
+                    .filter(DbChatMessage.session_id == session_id)
+                    .order_by(DbChatMessage.timestamp)
+                    .all()
+                )
+                db_history = []
+                for m in db_messages:
+                    db_history.append(_db_history_entry(m))
+                if db_history:
+                    # Rebuild in-memory history from the full set so hidden
+                    # messages (e.g. compaction summaries) are kept for AI context.
+                    session.history = [
+                        ChatMessage(role=m["role"], content=m["content"], metadata=m.get("metadata"))
+                        for m in db_history
+                    ]
+                # Response excludes hidden messages, matching the in-memory path.
+                history_dict = [
+                    m for m in db_history
+                    if not (m.get("metadata") or {}).get("hidden")
+                ]
+            except Exception as e:
+                logger.error(f"DB fallback failed for {session_id}: {e}")
+            finally:
+                db.close()
+
+        return {
+            "history": history_dict,
+            "model": session.model,
+            "endpoint_url": session.endpoint_url,
+            "name": session.name,
+        }
+
+    @router.post("/api/session/{session_id}/truncate")
+    async def truncate_session(request: Request, session_id: str):
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            keep_count = body.get("keep_count", 0)
+            result = session_manager.truncate_messages(session_id, keep_count)
+            return {"status": "ok", "kept": keep_count, "truncated": result}
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        except Exception as e:
+            logger.error(f"Truncate error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.post("/api/session/{session_id}/message")
+    async def add_message(request: Request, session_id: str):
+        """Add a message to a session (for slash command persistence)."""
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            role = body.get("role", "assistant")
+            content = body.get("content", "")
+            if not content:
+                raise HTTPException(400, "content is required")
+            msg = ChatMessage(role=role, content=content, metadata=body.get("metadata"))
+            session_manager.add_message(session_id, msg)
+            return {"status": "ok"}
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+
+    @router.post("/api/session/{session_id}/delete-messages")
+    async def delete_messages(request: Request, session_id: str):
+        """Delete specific messages by DB ID (or legacy index)."""
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            msg_ids = body.get("msg_ids", [])
+            indices = body.get("indices")  # legacy fallback
+
+            session = session_manager.get_session(session_id)
+            db = SessionLocal()
+            try:
+                if msg_ids:
+                    # New ID-based delete
+                    deleted = 0
+                    for mid in msg_ids:
+                        db_msg = db.query(DbChatMessage).filter(
+                            DbChatMessage.id == mid,
+                            DbChatMessage.session_id == session_id,
+                        ).first()
+                        if db_msg:
+                            db.delete(db_msg)
+                            deleted += 1
+
+                    # Remove from in-memory history by matching _db_id
+                    def _get_db_id(m):
+                        meta = m.metadata if isinstance(m, ChatMessage) else (m.get('metadata') if isinstance(m, dict) else None)
+                        return meta.get('_db_id') if isinstance(meta, dict) else None
+                    session.history = [m for m in session.history if _get_db_id(m) not in msg_ids]
+                elif indices:
+                    # Legacy index-based delete
+                    indices = sorted(indices, reverse=True)
+                    db_messages = db.query(DbChatMessage).filter(
+                        DbChatMessage.session_id == session_id
+                    ).order_by(DbChatMessage.timestamp).all()
+
+                    deleted = 0
+                    for idx in indices:
+                        if 0 <= idx < len(db_messages):
+                            db.delete(db_messages[idx])
+                            deleted += 1
+                        if 0 <= idx < len(session.history):
+                            session.history.pop(idx)
+                else:
+                    return {"status": "ok", "deleted": 0}
+
+                session.message_count = len(session.history)
+                db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
+                if db_session:
+                    db_session.message_count = len(session.history)
+                    from datetime import datetime, timezone
+                    db_session.updated_at = datetime.now(timezone.utc)
+
+                db.commit()
+                return {"status": "ok", "deleted": deleted}
+            finally:
+                db.close()
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        except Exception as e:
+            logger.error(f"Delete messages error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.post("/api/session/{session_id}/edit-message")
+    async def edit_message(request: Request, session_id: str):
+        """Edit the content of a message by its database ID."""
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            msg_id = body.get("msg_id")
+            content = body.get("content")
+            if not msg_id or content is None:
+                raise HTTPException(400, "msg_id and content are required")
+
+            session = session_manager.get_session(session_id)
+            db = SessionLocal()
+            try:
+                db_msg = db.query(DbChatMessage).filter(
+                    DbChatMessage.id == msg_id,
+                    DbChatMessage.session_id == session_id,
+                ).first()
+                if not db_msg:
+                    raise HTTPException(404, "Message not found")
+
+                db_msg.content = content
+                meta = {}
+                if db_msg.meta_data:
+                    try: meta = json.loads(db_msg.meta_data)
+                    except (json.JSONDecodeError, ValueError): pass
+                meta['edited'] = True
+                db_msg.meta_data = json.dumps(meta)
+
+                # Update in-memory history by matching _db_id
+                for hmsg in session.history:
+                    hmeta = hmsg.metadata if isinstance(hmsg, ChatMessage) else hmsg.get('metadata')
+                    if isinstance(hmeta, dict) and hmeta.get('_db_id') == msg_id:
+                        if isinstance(hmsg, ChatMessage):
+                            hmsg.content = content
+                            hmsg.metadata['edited'] = True
+                        elif isinstance(hmsg, dict):
+                            hmsg['content'] = content
+                            hmsg['metadata']['edited'] = True
+                        break
+
+                db.commit()
+                return {"status": "ok"}
+            finally:
+                db.close()
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.error(f"Edit message error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.post("/api/session/{session_id}/mark-stopped")
+    async def mark_stopped(request: Request, session_id: str):
+        """Mark the last assistant message as stopped by user."""
+        _verify_session_owner(request, session_id)
+        try:
+            session = session_manager.get_session(session_id)
+            # Find last assistant message and add stopped metadata
+            for msg in reversed(session.history):
+                if (isinstance(msg, ChatMessage) and msg.role == 'assistant') or \
+                   (isinstance(msg, dict) and msg.get('role') == 'assistant'):
+                    if isinstance(msg, ChatMessage):
+                        if not msg.metadata:
+                            msg.metadata = {}
+                        msg.metadata['stopped'] = True
+                        if not msg.metadata.get('model'):
+                            msg.metadata['model'] = session.model
+                    else:
+                        if 'metadata' not in msg:
+                            msg['metadata'] = {}
+                        msg['metadata']['stopped'] = True
+                        if not msg['metadata'].get('model'):
+                            msg['metadata']['model'] = session.model
+                    break
+            # Also update in DB
+            db = SessionLocal()
+            try:
+                import json as _json
+                db_messages = (
+                    db.query(DbChatMessage)
+                    .filter(DbChatMessage.session_id == session_id, DbChatMessage.role == 'assistant')
+                    .order_by(DbChatMessage.timestamp.desc())
+                    .first()
+                )
+                if db_messages:
+                    meta = {}
+                    if db_messages.meta_data:
+                        try:
+                            meta = _json.loads(db_messages.meta_data)
+                        except (json.JSONDecodeError, ValueError):
+                            pass
+                    meta['stopped'] = True
+                    if not meta.get('model'):
+                        meta['model'] = session.model
+                    db_messages.meta_data = _json.dumps(meta)
+                    db.commit()
+            finally:
+                db.close()
+            session_manager.save_sessions()
+            return {"status": "ok"}
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        except Exception as e:
+            logger.error(f"Mark stopped error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.post("/api/session/{session_id}/update-last-meta")
+    async def update_last_meta(request: Request, session_id: str):
+        """Merge metadata into the last assistant message (e.g. save variants)."""
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            meta_update = body.get("metadata", {})
+            session = session_manager.get_session(session_id)
+
+            # Update in-memory
+            for msg in reversed(session.history):
+                if (isinstance(msg, ChatMessage) and msg.role == 'assistant') or \
+                   (isinstance(msg, dict) and msg.get('role') == 'assistant'):
+                    if isinstance(msg, ChatMessage):
+                        if not msg.metadata:
+                            msg.metadata = {}
+                        msg.metadata.update(meta_update)
+                    else:
+                        if 'metadata' not in msg:
+                            msg['metadata'] = {}
+                        msg['metadata'].update(meta_update)
+                    break
+
+            # Update in DB
+            db = SessionLocal()
+            try:
+                import json as _json
+                db_msg = (
+                    db.query(DbChatMessage)
+                    .filter(DbChatMessage.session_id == session_id, DbChatMessage.role == 'assistant')
+                    .order_by(DbChatMessage.timestamp.desc())
+                    .first()
+                )
+                if db_msg:
+                    meta = {}
+                    if db_msg.meta_data:
+                        try: meta = _json.loads(db_msg.meta_data)
+                        except (json.JSONDecodeError, ValueError): pass
+                    meta.update(meta_update)
+                    db_msg.meta_data = _json.dumps(meta)
+                    db.commit()
+            finally:
+                db.close()
+            session_manager.save_sessions()
+            return {"status": "ok"}
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        except Exception as e:
+            logger.error(f"Update last meta error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.post("/api/session/{session_id}/merge-last-assistant")
+    async def merge_last_assistant(request: Request, session_id: str):
+        """Merge the last two assistant messages into one (for continue)."""
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            separator = body.get("separator", "\n\n")
+            session = session_manager.get_session(session_id)
+
+            # Find last two assistant messages in-memory
+            ai_indices = []
+            for i, msg in enumerate(session.history):
+                role = msg.role if isinstance(msg, ChatMessage) else msg.get('role', '')
+                if role == 'assistant':
+                    ai_indices.append(i)
+
+            if len(ai_indices) < 2:
+                return {"status": "ok", "merged": False}
+
+            idx1, idx2 = ai_indices[-2], ai_indices[-1]
+            msg1, msg2 = session.history[idx1], session.history[idx2]
+
+            content1 = msg1.content if isinstance(msg1, ChatMessage) else msg1.get('content', '')
+            content2 = msg2.content if isinstance(msg2, ChatMessage) else msg2.get('content', '')
+            merged_content = content1 + separator + content2
+
+            # Merge metadata
+            meta1 = (msg1.metadata if isinstance(msg1, ChatMessage) else msg1.get('metadata')) or {}
+            meta2 = (msg2.metadata if isinstance(msg2, ChatMessage) else msg2.get('metadata')) or {}
+            merged_meta = {**meta1, **meta2}
+            merged_meta.pop('stopped', None)  # no longer stopped after continue
+
+            # Update first message, remove second
+            if isinstance(msg1, ChatMessage):
+                msg1.content = merged_content
+                msg1.metadata = merged_meta
+            else:
+                msg1['content'] = merged_content
+                msg1['metadata'] = merged_meta
+
+            # Also remove the hidden "continue" user message between them if present
+            # It's the message at idx2-1 if it's a user message with continue text
+            remove_indices = [idx2]
+            if idx2 - 1 > idx1:
+                between = session.history[idx2 - 1]
+                between_role = between.role if isinstance(between, ChatMessage) else between.get('role', '')
+                between_content = between.content if isinstance(between, ChatMessage) else between.get('content', '')
+                if between_role == 'user' and 'previous response was interrupted' in between_content:
+                    remove_indices.insert(0, idx2 - 1)
+
+            for ri in sorted(remove_indices, reverse=True):
+                session.history.pop(ri)
+
+            # Update DB
+            db = SessionLocal()
+            try:
+                import json as _json
+                db_messages = (
+                    db.query(DbChatMessage)
+                    .filter(DbChatMessage.session_id == session_id)
+                    .order_by(DbChatMessage.timestamp)
+                    .all()
+                )
+                # Find last two assistant messages in DB
+                ai_db = [(i, m) for i, m in enumerate(db_messages) if m.role == 'assistant']
+                if len(ai_db) >= 2:
+                    (_, db1), (_, db2) = ai_db[-2], ai_db[-1]
+                    db1.content = merged_content
+                    db1.meta_data = _json.dumps(merged_meta)
+
+                    # Mirror the in-memory deletion: remove the second assistant
+                    # message and ONLY the "continue" user message between them
+                    # (not arbitrary tool/system/user rows). The old
+                    # range-delete destroyed every row between the two assistant
+                    # messages, desyncing the DB from the in-memory history.
+                    for _row in _merge_continue_rows_to_delete(db_messages, db1, db2):
+                        db.delete(_row)
+
+                    db.commit()
+            finally:
+                db.close()
+            session_manager.save_sessions()
+            return {"status": "ok", "merged": True}
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        except Exception as e:
+            logger.error(f"Merge assistant error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.post("/api/session/{session_id}/fork")
+    async def fork_session(request: Request, session_id: str):
+        """Create a new session with messages copied up to keep_count."""
+        _verify_session_owner(request, session_id)
+        try:
+            body = await request.json()
+            keep_count = body.get("keep_count", 0)
+
+            # Get the source session
+            source = session_manager.sessions.get(session_id)
+            if not source:
+                raise HTTPException(404, "Session not found")
+
+            # Create new session
+            new_id = str(uuid.uuid4())
+            fork_name = f"\u2ADD {source.name}"
+            new_session = session_manager.create_session(
+                session_id=new_id,
+                name=fork_name,
+                endpoint_url=source.endpoint_url,
+                model=source.model,
+                rag=False,
+                owner=getattr(source, 'owner', None),
+            )
+
+            # Copy messages up to keep_count
+            msgs_to_copy = source.history[:keep_count]
+            for msg in msgs_to_copy:
+                # Copy the metadata dict. Sharing it would let the fork's
+                # persistence (add_message -> _persist_message stamps
+                # _db_id/timestamp onto the dict) mutate the SOURCE session's
+                # in-memory messages, corrupting their _db_id and breaking
+                # edit/delete-by-id on the original conversation.
+                meta = dict(msg.metadata) if isinstance(msg.metadata, dict) else None
+                new_session.add_message(ChatMessage(msg.role, msg.content, meta))
+            try:
+                from src.event_bus import fire_event
+                fire_event("session_created", getattr(source, 'owner', None))
+            except Exception:
+                logger.debug("session_created event dispatch failed", exc_info=True)
+
+            return {
+                "status": "ok",
+                "id": new_id,
+                "name": fork_name,
+                "kept": len(msgs_to_copy),
+            }
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.error(f"Fork error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    @router.get("/api/conversations/topics")
+    async def get_conversation_topics(request: Request) -> Dict[str, Any]:
+        from src.auth_helpers import require_user
+        user = require_user(request)
+        try:
+            return analyze_topics(session_manager, owner=user or None)
+        except Exception as e:
+            raise HTTPException(500, f"Topic analysis failed: {e}")
+
+    @router.post("/api/session/{session_id}/compact")
+    async def compact_session(request: Request, session_id: str):
+        """Manually trigger context compaction for a session."""
+        _verify_session_owner(request, session_id)
+        from src.auth_helpers import effective_user
+        owner = effective_user(request)
+        try:
+            session = session_manager.get_session(session_id)
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        _reject_compact_during_active_run(session_id)
+
+        try:
+            from src.model_context import estimate_tokens, get_context_length
+            from src.llm_core import llm_call_async
+            from src.endpoint_resolver import resolve_endpoint
+
+            if len(session.history) < 6:
+                return {"status": "ok", "message": "Not enough messages to compact"}
+
+            ctx_len = get_context_length(session.endpoint_url, session.model)
+            messages_before = session.get_context_messages()
+            used_before = estimate_tokens(messages_before)
+            pct_before = round((used_before / ctx_len) * 100, 1) if ctx_len else 0
+            msg_count_before = len(session.history)
+
+            # Keep only last 4 messages, summarize the rest
+            keep_count = 4
+            older = session.history[:-keep_count]
+            recent = session.history[-keep_count:]
+
+            # Build text to summarize
+            convo_text = "\n".join(
+                f"{_message_role(m).upper()}: "
+                f"{_message_text(m)[:2000]}"
+                for m in older
+            )
+
+            # Use utility model if available
+            util_url, util_model, util_headers = resolve_endpoint("utility", owner=owner or None)
+            compact_url = util_url or session.endpoint_url
+            compact_model = util_model or session.model
+            compact_headers = util_headers if util_url else session.headers
+
+            from src.context_compactor import SELF_SUMMARY_SYSTEM_PROMPT
+            compaction_count = sum(1 for m in session.history if isinstance(m, ChatMessage) and "[Conversation summary" in (m.content or ""))
+            sys_prompt = SELF_SUMMARY_SYSTEM_PROMPT.replace("{count}", str(len(older))).replace("{n}", str(compaction_count + 1))
+            summary = await llm_call_async(
+                compact_url, compact_model,
+                [
+                    {"role": "system", "content": sys_prompt},
+                    {"role": "user", "content": convo_text},
+                ],
+                temperature=0.2, max_tokens=1024,
+                headers=compact_headers, timeout=30,
+            )
+
+            # Replace session history: summary as system message + recent messages
+            # System message holds the full summary for AI context
+            system_summary = ChatMessage(
+                role="system",
+                content=f"[Conversation summary — {len(older)} earlier messages were compacted]\n\n{summary}",
+                metadata={"compacted": True, "hidden": True},
+            )
+            # Visible assistant message just shows stats
+            summary_msg = ChatMessage(
+                role="assistant",
+                content=f"**Conversation compacted** — {len(older)} messages summarized, {len(recent)} kept.",
+                metadata={"compacted": True, "messages_removed": len(older)},
+            )
+            new_history = [system_summary, summary_msg] + list(recent)
+            session.history = new_history
+            session.message_count = len(session.history)
+            logger.info(f"Compact: session {session_id} history now has {len(session.history)} messages (was {msg_count_before})")
+
+            # Update DB: delete old messages, insert summary
+            db = SessionLocal()
+            try:
+                db_msgs = db.query(DbChatMessage).filter(
+                    DbChatMessage.session_id == session_id
+                ).order_by(DbChatMessage.timestamp).all()
+
+                # Delete all but the last keep_count
+                for m in db_msgs[:-keep_count]:
+                    db.delete(m)
+
+                # Insert system summary (hidden, for AI context) and visible summary
+                import json as _json
+                import uuid
+                from datetime import datetime, timezone
+                now = datetime.now(timezone.utc)
+                db_sys_summary = DbChatMessage(
+                    id=str(uuid.uuid4()),
+                    session_id=session_id,
+                    role="system",
+                    content=system_summary.content,
+                    meta_data=_json.dumps(system_summary.metadata),
+                    timestamp=now,
+                )
+                db.add(db_sys_summary)
+                db_summary = DbChatMessage(
+                    id=str(uuid.uuid4()),
+                    session_id=session_id,
+                    role="assistant",
+                    content=summary_msg.content,
+                    meta_data=_json.dumps(summary_msg.metadata),
+                    timestamp=now,
+                )
+                db.add(db_summary)
+
+                # Update session record
+                db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
+                if db_session:
+                    db_session.message_count = len(session.history)
+                    db_session.updated_at = datetime.now(timezone.utc)
+                db.commit()
+            finally:
+                db.close()
+
+            session_manager.save_sessions()
+
+            used_after = estimate_tokens(session.get_context_messages())
+            pct_after = round((used_after / ctx_len) * 100, 1) if ctx_len else 0
+
+            return {
+                "status": "ok",
+                "message": f"Compacted: {msg_count_before} msgs → {len(session.history)} msgs ({pct_before}% → {pct_after}%)",
+                "before": pct_before,
+                "after": pct_after,
+            }
+
+        except Exception as e:
+            logger.error(f"Manual compact error {session_id}: {e}")
+            raise HTTPException(500, str(e))
+
+    return router

routes/history_routes.py

@@ -1,662 +1,17 @@
-"""History routes — session history, truncation, fork, conversation topics."""
+"""Backward-compat shim — canonical location is routes/history/history_routes.py.
 
-import json
-import uuid
-import logging
-from typing import Dict, Any
+This module is replaced in ``sys.modules`` by the canonical module object so
+that ``import routes.history_routes``, ``from routes.history_routes import X``,
+``importlib.import_module("routes.history_routes")``, and the
+``import ... as history_routes`` + ``monkeypatch.setattr(history_routes, ...)``
+pattern used by test_history_compact_tool_calls.py / test_fork_session_metadata.py
+all operate on the *same* object the application actually uses. Keeps existing
+import paths working after slice 2d (#4082/#4071). Source-introspection tests
+read the canonical file by path.
+"""
 
-from fastapi import APIRouter, Request, HTTPException
+import sys as _sys
 
-from core.models import ChatMessage
-from core.database import SessionLocal, ChatMessage as DbChatMessage, Session as DbSession
-from src.topic_analyzer import analyze_topics
-from routes.session_routes import (
-    _message_role,
-    _message_text,
-    _reject_compact_during_active_run,
-    _verify_session_owner,
-)
+from routes.history import history_routes as _canonical  # noqa: F401
 
-logger = logging.getLogger(__name__)
-
-
-def _merge_continue_rows_to_delete(db_messages, db1, db2):
-    """DB rows to delete when merging the last two assistant messages.
-
-    Always the second assistant message (db2), plus ONLY the single
-    intervening "continue" user message (the one carrying "previous response
-    was interrupted") — matching the in-memory merge. The previous code
-    deleted the whole index range between the two assistant rows, destroying
-    any tool/system/user messages in between and desyncing the DB from the
-    in-memory history.
-    """
-    to_delete = [db2]
-    i1 = next((i for i, m in enumerate(db_messages) if m is db1), None)
-    i2 = next((i for i, m in enumerate(db_messages) if m is db2), None)
-    if i1 is not None and i2 is not None and i2 - 1 > i1:
-        between = db_messages[i2 - 1]
-        if getattr(between, "role", "") == "user" and            "previous response was interrupted" in (getattr(between, "content", "") or ""):
-            to_delete.append(between)
-    return to_delete
-
-
-def setup_history_routes(session_manager) -> APIRouter:
-    router = APIRouter(tags=["history"])
-
-    @router.get("/api/history/{session_id}")
-    async def get_session_history(request: Request, session_id: str) -> Dict[str, Any]:
-        _verify_session_owner(request, session_id)
-        try:
-            session = session_manager.get_session(session_id)
-        except KeyError:
-            raise HTTPException(404, f"Session '{session_id}' not found")
-
-        history_dict = []
-        for msg in session.history:
-            if isinstance(msg, ChatMessage):
-                # Skip hidden messages (e.g. compaction summaries for AI context)
-                if msg.metadata and msg.metadata.get("hidden"):
-                    continue
-                entry = {"role": msg.role, "content": msg.content}
-                if msg.metadata:
-                    entry["metadata"] = msg.metadata
-                history_dict.append(entry)
-            elif isinstance(msg, dict):
-                if msg.get("metadata", {}).get("hidden"):
-                    continue
-                entry = {
-                    "role": msg.get("role", ""),
-                    "content": msg.get("content", ""),
-                }
-                if msg.get("metadata"):
-                    entry["metadata"] = msg["metadata"]
-                history_dict.append(entry)
-
-        # Fallback: load from DB if in-memory is empty
-        if not history_dict:
-            db = SessionLocal()
-            try:
-                db_messages = (
-                    db.query(DbChatMessage)
-                    .filter(DbChatMessage.session_id == session_id)
-                    .order_by(DbChatMessage.timestamp)
-                    .all()
-                )
-                import json as _json
-                db_history = []
-                for m in db_messages:
-                    entry = {"role": m.role, "content": m.content}
-                    meta = {}
-                    if m.meta_data:
-                        try:
-                            meta = _json.loads(m.meta_data) or {}
-                        except (json.JSONDecodeError, ValueError):
-                            meta = {}
-                    if m.timestamp and "timestamp" not in meta:
-                        meta["timestamp"] = m.timestamp.isoformat() + "Z"
-                    if meta:
-                        entry["metadata"] = meta
-                    db_history.append(entry)
-                if db_history:
-                    # Rebuild in-memory history from the full set so hidden
-                    # messages (e.g. compaction summaries) are kept for AI context.
-                    session.history = [
-                        ChatMessage(role=m["role"], content=m["content"], metadata=m.get("metadata"))
-                        for m in db_history
-                    ]
-                # Response excludes hidden messages, matching the in-memory path.
-                history_dict = [
-                    m for m in db_history
-                    if not (m.get("metadata") or {}).get("hidden")
-                ]
-            except Exception as e:
-                logger.error(f"DB fallback failed for {session_id}: {e}")
-            finally:
-                db.close()
-
-        return {
-            "history": history_dict,
-            "model": session.model,
-            "endpoint_url": session.endpoint_url,
-            "name": session.name,
-        }
-
-    @router.post("/api/session/{session_id}/truncate")
-    async def truncate_session(request: Request, session_id: str):
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            keep_count = body.get("keep_count", 0)
-            result = session_manager.truncate_messages(session_id, keep_count)
-            return {"status": "ok", "kept": keep_count, "truncated": result}
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        except Exception as e:
-            logger.error(f"Truncate error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.post("/api/session/{session_id}/message")
-    async def add_message(request: Request, session_id: str):
-        """Add a message to a session (for slash command persistence)."""
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            role = body.get("role", "assistant")
-            content = body.get("content", "")
-            if not content:
-                raise HTTPException(400, "content is required")
-            msg = ChatMessage(role=role, content=content, metadata=body.get("metadata"))
-            session_manager.add_message(session_id, msg)
-            return {"status": "ok"}
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-
-    @router.post("/api/session/{session_id}/delete-messages")
-    async def delete_messages(request: Request, session_id: str):
-        """Delete specific messages by DB ID (or legacy index)."""
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            msg_ids = body.get("msg_ids", [])
-            indices = body.get("indices")  # legacy fallback
-
-            session = session_manager.get_session(session_id)
-            db = SessionLocal()
-            try:
-                if msg_ids:
-                    # New ID-based delete
-                    deleted = 0
-                    for mid in msg_ids:
-                        db_msg = db.query(DbChatMessage).filter(
-                            DbChatMessage.id == mid,
-                            DbChatMessage.session_id == session_id,
-                        ).first()
-                        if db_msg:
-                            db.delete(db_msg)
-                            deleted += 1
-
-                    # Remove from in-memory history by matching _db_id
-                    def _get_db_id(m):
-                        meta = m.metadata if isinstance(m, ChatMessage) else (m.get('metadata') if isinstance(m, dict) else None)
-                        return meta.get('_db_id') if isinstance(meta, dict) else None
-                    session.history = [m for m in session.history if _get_db_id(m) not in msg_ids]
-                elif indices:
-                    # Legacy index-based delete
-                    indices = sorted(indices, reverse=True)
-                    db_messages = db.query(DbChatMessage).filter(
-                        DbChatMessage.session_id == session_id
-                    ).order_by(DbChatMessage.timestamp).all()
-
-                    deleted = 0
-                    for idx in indices:
-                        if 0 <= idx < len(db_messages):
-                            db.delete(db_messages[idx])
-                            deleted += 1
-                        if 0 <= idx < len(session.history):
-                            session.history.pop(idx)
-                else:
-                    return {"status": "ok", "deleted": 0}
-
-                session.message_count = len(session.history)
-                db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
-                if db_session:
-                    db_session.message_count = len(session.history)
-                    from datetime import datetime, timezone
-                    db_session.updated_at = datetime.now(timezone.utc)
-
-                db.commit()
-                return {"status": "ok", "deleted": deleted}
-            finally:
-                db.close()
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        except Exception as e:
-            logger.error(f"Delete messages error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.post("/api/session/{session_id}/edit-message")
-    async def edit_message(request: Request, session_id: str):
-        """Edit the content of a message by its database ID."""
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            msg_id = body.get("msg_id")
-            content = body.get("content")
-            if not msg_id or content is None:
-                raise HTTPException(400, "msg_id and content are required")
-
-            session = session_manager.get_session(session_id)
-            db = SessionLocal()
-            try:
-                db_msg = db.query(DbChatMessage).filter(
-                    DbChatMessage.id == msg_id,
-                    DbChatMessage.session_id == session_id,
-                ).first()
-                if not db_msg:
-                    raise HTTPException(404, "Message not found")
-
-                db_msg.content = content
-                meta = {}
-                if db_msg.meta_data:
-                    try: meta = json.loads(db_msg.meta_data)
-                    except (json.JSONDecodeError, ValueError): pass
-                meta['edited'] = True
-                db_msg.meta_data = json.dumps(meta)
-
-                # Update in-memory history by matching _db_id
-                for hmsg in session.history:
-                    hmeta = hmsg.metadata if isinstance(hmsg, ChatMessage) else hmsg.get('metadata')
-                    if isinstance(hmeta, dict) and hmeta.get('_db_id') == msg_id:
-                        if isinstance(hmsg, ChatMessage):
-                            hmsg.content = content
-                            hmsg.metadata['edited'] = True
-                        elif isinstance(hmsg, dict):
-                            hmsg['content'] = content
-                            hmsg['metadata']['edited'] = True
-                        break
-
-                db.commit()
-                return {"status": "ok"}
-            finally:
-                db.close()
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        except HTTPException:
-            raise
-        except Exception as e:
-            logger.error(f"Edit message error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.post("/api/session/{session_id}/mark-stopped")
-    async def mark_stopped(request: Request, session_id: str):
-        """Mark the last assistant message as stopped by user."""
-        _verify_session_owner(request, session_id)
-        try:
-            session = session_manager.get_session(session_id)
-            # Find last assistant message and add stopped metadata
-            for msg in reversed(session.history):
-                if (isinstance(msg, ChatMessage) and msg.role == 'assistant') or \
-                   (isinstance(msg, dict) and msg.get('role') == 'assistant'):
-                    if isinstance(msg, ChatMessage):
-                        if not msg.metadata:
-                            msg.metadata = {}
-                        msg.metadata['stopped'] = True
-                        if not msg.metadata.get('model'):
-                            msg.metadata['model'] = session.model
-                    else:
-                        if 'metadata' not in msg:
-                            msg['metadata'] = {}
-                        msg['metadata']['stopped'] = True
-                        if not msg['metadata'].get('model'):
-                            msg['metadata']['model'] = session.model
-                    break
-            # Also update in DB
-            db = SessionLocal()
-            try:
-                import json as _json
-                db_messages = (
-                    db.query(DbChatMessage)
-                    .filter(DbChatMessage.session_id == session_id, DbChatMessage.role == 'assistant')
-                    .order_by(DbChatMessage.timestamp.desc())
-                    .first()
-                )
-                if db_messages:
-                    meta = {}
-                    if db_messages.meta_data:
-                        try:
-                            meta = _json.loads(db_messages.meta_data)
-                        except (json.JSONDecodeError, ValueError):
-                            pass
-                    meta['stopped'] = True
-                    if not meta.get('model'):
-                        meta['model'] = session.model
-                    db_messages.meta_data = _json.dumps(meta)
-                    db.commit()
-            finally:
-                db.close()
-            session_manager.save_sessions()
-            return {"status": "ok"}
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        except Exception as e:
-            logger.error(f"Mark stopped error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.post("/api/session/{session_id}/update-last-meta")
-    async def update_last_meta(request: Request, session_id: str):
-        """Merge metadata into the last assistant message (e.g. save variants)."""
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            meta_update = body.get("metadata", {})
-            session = session_manager.get_session(session_id)
-
-            # Update in-memory
-            for msg in reversed(session.history):
-                if (isinstance(msg, ChatMessage) and msg.role == 'assistant') or \
-                   (isinstance(msg, dict) and msg.get('role') == 'assistant'):
-                    if isinstance(msg, ChatMessage):
-                        if not msg.metadata:
-                            msg.metadata = {}
-                        msg.metadata.update(meta_update)
-                    else:
-                        if 'metadata' not in msg:
-                            msg['metadata'] = {}
-                        msg['metadata'].update(meta_update)
-                    break
-
-            # Update in DB
-            db = SessionLocal()
-            try:
-                import json as _json
-                db_msg = (
-                    db.query(DbChatMessage)
-                    .filter(DbChatMessage.session_id == session_id, DbChatMessage.role == 'assistant')
-                    .order_by(DbChatMessage.timestamp.desc())
-                    .first()
-                )
-                if db_msg:
-                    meta = {}
-                    if db_msg.meta_data:
-                        try: meta = _json.loads(db_msg.meta_data)
-                        except (json.JSONDecodeError, ValueError): pass
-                    meta.update(meta_update)
-                    db_msg.meta_data = _json.dumps(meta)
-                    db.commit()
-            finally:
-                db.close()
-            session_manager.save_sessions()
-            return {"status": "ok"}
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        except Exception as e:
-            logger.error(f"Update last meta error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.post("/api/session/{session_id}/merge-last-assistant")
-    async def merge_last_assistant(request: Request, session_id: str):
-        """Merge the last two assistant messages into one (for continue)."""
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            separator = body.get("separator", "\n\n")
-            session = session_manager.get_session(session_id)
-
-            # Find last two assistant messages in-memory
-            ai_indices = []
-            for i, msg in enumerate(session.history):
-                role = msg.role if isinstance(msg, ChatMessage) else msg.get('role', '')
-                if role == 'assistant':
-                    ai_indices.append(i)
-
-            if len(ai_indices) < 2:
-                return {"status": "ok", "merged": False}
-
-            idx1, idx2 = ai_indices[-2], ai_indices[-1]
-            msg1, msg2 = session.history[idx1], session.history[idx2]
-
-            content1 = msg1.content if isinstance(msg1, ChatMessage) else msg1.get('content', '')
-            content2 = msg2.content if isinstance(msg2, ChatMessage) else msg2.get('content', '')
-            merged_content = content1 + separator + content2
-
-            # Merge metadata
-            meta1 = (msg1.metadata if isinstance(msg1, ChatMessage) else msg1.get('metadata')) or {}
-            meta2 = (msg2.metadata if isinstance(msg2, ChatMessage) else msg2.get('metadata')) or {}
-            merged_meta = {**meta1, **meta2}
-            merged_meta.pop('stopped', None)  # no longer stopped after continue
-
-            # Update first message, remove second
-            if isinstance(msg1, ChatMessage):
-                msg1.content = merged_content
-                msg1.metadata = merged_meta
-            else:
-                msg1['content'] = merged_content
-                msg1['metadata'] = merged_meta
-
-            # Also remove the hidden "continue" user message between them if present
-            # It's the message at idx2-1 if it's a user message with continue text
-            remove_indices = [idx2]
-            if idx2 - 1 > idx1:
-                between = session.history[idx2 - 1]
-                between_role = between.role if isinstance(between, ChatMessage) else between.get('role', '')
-                between_content = between.content if isinstance(between, ChatMessage) else between.get('content', '')
-                if between_role == 'user' and 'previous response was interrupted' in between_content:
-                    remove_indices.insert(0, idx2 - 1)
-
-            for ri in sorted(remove_indices, reverse=True):
-                session.history.pop(ri)
-
-            # Update DB
-            db = SessionLocal()
-            try:
-                import json as _json
-                db_messages = (
-                    db.query(DbChatMessage)
-                    .filter(DbChatMessage.session_id == session_id)
-                    .order_by(DbChatMessage.timestamp)
-                    .all()
-                )
-                # Find last two assistant messages in DB
-                ai_db = [(i, m) for i, m in enumerate(db_messages) if m.role == 'assistant']
-                if len(ai_db) >= 2:
-                    (_, db1), (_, db2) = ai_db[-2], ai_db[-1]
-                    db1.content = merged_content
-                    db1.meta_data = _json.dumps(merged_meta)
-
-                    # Mirror the in-memory deletion: remove the second assistant
-                    # message and ONLY the "continue" user message between them
-                    # (not arbitrary tool/system/user rows). The old
-                    # range-delete destroyed every row between the two assistant
-                    # messages, desyncing the DB from the in-memory history.
-                    for _row in _merge_continue_rows_to_delete(db_messages, db1, db2):
-                        db.delete(_row)
-
-                    db.commit()
-            finally:
-                db.close()
-            session_manager.save_sessions()
-            return {"status": "ok", "merged": True}
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        except Exception as e:
-            logger.error(f"Merge assistant error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.post("/api/session/{session_id}/fork")
-    async def fork_session(request: Request, session_id: str):
-        """Create a new session with messages copied up to keep_count."""
-        _verify_session_owner(request, session_id)
-        try:
-            body = await request.json()
-            keep_count = body.get("keep_count", 0)
-
-            # Get the source session
-            source = session_manager.sessions.get(session_id)
-            if not source:
-                raise HTTPException(404, "Session not found")
-
-            # Create new session
-            new_id = str(uuid.uuid4())
-            fork_name = f"\u2ADD {source.name}"
-            new_session = session_manager.create_session(
-                session_id=new_id,
-                name=fork_name,
-                endpoint_url=source.endpoint_url,
-                model=source.model,
-                rag=False,
-                owner=getattr(source, 'owner', None),
-            )
-
-            # Copy messages up to keep_count
-            msgs_to_copy = source.history[:keep_count]
-            for msg in msgs_to_copy:
-                # Copy the metadata dict. Sharing it would let the fork's
-                # persistence (add_message -> _persist_message stamps
-                # _db_id/timestamp onto the dict) mutate the SOURCE session's
-                # in-memory messages, corrupting their _db_id and breaking
-                # edit/delete-by-id on the original conversation.
-                meta = dict(msg.metadata) if isinstance(msg.metadata, dict) else None
-                new_session.add_message(ChatMessage(msg.role, msg.content, meta))
-            try:
-                from src.event_bus import fire_event
-                fire_event("session_created", getattr(source, 'owner', None))
-            except Exception:
-                logger.debug("session_created event dispatch failed", exc_info=True)
-
-            return {
-                "status": "ok",
-                "id": new_id,
-                "name": fork_name,
-                "kept": len(msgs_to_copy),
-            }
-        except HTTPException:
-            raise
-        except Exception as e:
-            logger.error(f"Fork error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    @router.get("/api/conversations/topics")
-    async def get_conversation_topics(request: Request) -> Dict[str, Any]:
-        from src.auth_helpers import require_user
-        user = require_user(request)
-        try:
-            return analyze_topics(session_manager, owner=user or None)
-        except Exception as e:
-            raise HTTPException(500, f"Topic analysis failed: {e}")
-
-    @router.post("/api/session/{session_id}/compact")
-    async def compact_session(request: Request, session_id: str):
-        """Manually trigger context compaction for a session."""
-        _verify_session_owner(request, session_id)
-        from src.auth_helpers import effective_user
-        owner = effective_user(request)
-        try:
-            session = session_manager.get_session(session_id)
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        _reject_compact_during_active_run(session_id)
-
-        try:
-            from src.model_context import estimate_tokens, get_context_length
-            from src.llm_core import llm_call_async
-            from src.endpoint_resolver import resolve_endpoint
-
-            if len(session.history) < 6:
-                return {"status": "ok", "message": "Not enough messages to compact"}
-
-            ctx_len = get_context_length(session.endpoint_url, session.model)
-            messages_before = session.get_context_messages()
-            used_before = estimate_tokens(messages_before)
-            pct_before = round((used_before / ctx_len) * 100, 1) if ctx_len else 0
-            msg_count_before = len(session.history)
-
-            # Keep only last 4 messages, summarize the rest
-            keep_count = 4
-            older = session.history[:-keep_count]
-            recent = session.history[-keep_count:]
-
-            # Build text to summarize
-            convo_text = "\n".join(
-                f"{_message_role(m).upper()}: "
-                f"{_message_text(m)[:2000]}"
-                for m in older
-            )
-
-            # Use utility model if available
-            util_url, util_model, util_headers = resolve_endpoint("utility", owner=owner or None)
-            compact_url = util_url or session.endpoint_url
-            compact_model = util_model or session.model
-            compact_headers = util_headers if util_url else session.headers
-
-            from src.context_compactor import SELF_SUMMARY_SYSTEM_PROMPT
-            compaction_count = sum(1 for m in session.history if isinstance(m, ChatMessage) and "[Conversation summary" in (m.content or ""))
-            sys_prompt = SELF_SUMMARY_SYSTEM_PROMPT.replace("{count}", str(len(older))).replace("{n}", str(compaction_count + 1))
-            summary = await llm_call_async(
-                compact_url, compact_model,
-                [
-                    {"role": "system", "content": sys_prompt},
-                    {"role": "user", "content": convo_text},
-                ],
-                temperature=0.2, max_tokens=1024,
-                headers=compact_headers, timeout=30,
-            )
-
-            # Replace session history: summary as system message + recent messages
-            # System message holds the full summary for AI context
-            system_summary = ChatMessage(
-                role="system",
-                content=f"[Conversation summary — {len(older)} earlier messages were compacted]\n\n{summary}",
-                metadata={"compacted": True, "hidden": True},
-            )
-            # Visible assistant message just shows stats
-            summary_msg = ChatMessage(
-                role="assistant",
-                content=f"**Conversation compacted** — {len(older)} messages summarized, {len(recent)} kept.",
-                metadata={"compacted": True, "messages_removed": len(older)},
-            )
-            new_history = [system_summary, summary_msg] + list(recent)
-            session.history = new_history
-            session.message_count = len(session.history)
-            logger.info(f"Compact: session {session_id} history now has {len(session.history)} messages (was {msg_count_before})")
-
-            # Update DB: delete old messages, insert summary
-            db = SessionLocal()
-            try:
-                db_msgs = db.query(DbChatMessage).filter(
-                    DbChatMessage.session_id == session_id
-                ).order_by(DbChatMessage.timestamp).all()
-
-                # Delete all but the last keep_count
-                for m in db_msgs[:-keep_count]:
-                    db.delete(m)
-
-                # Insert system summary (hidden, for AI context) and visible summary
-                import json as _json
-                import uuid
-                from datetime import datetime, timezone
-                now = datetime.now(timezone.utc)
-                db_sys_summary = DbChatMessage(
-                    id=str(uuid.uuid4()),
-                    session_id=session_id,
-                    role="system",
-                    content=system_summary.content,
-                    meta_data=_json.dumps(system_summary.metadata),
-                    timestamp=now,
-                )
-                db.add(db_sys_summary)
-                db_summary = DbChatMessage(
-                    id=str(uuid.uuid4()),
-                    session_id=session_id,
-                    role="assistant",
-                    content=summary_msg.content,
-                    meta_data=_json.dumps(summary_msg.metadata),
-                    timestamp=now,
-                )
-                db.add(db_summary)
-
-                # Update session record
-                db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
-                if db_session:
-                    db_session.message_count = len(session.history)
-                    db_session.updated_at = datetime.now(timezone.utc)
-                db.commit()
-            finally:
-                db.close()
-
-            session_manager.save_sessions()
-
-            used_after = estimate_tokens(session.get_context_messages())
-            pct_after = round((used_after / ctx_len) * 100, 1) if ctx_len else 0
-
-            return {
-                "status": "ok",
-                "message": f"Compacted: {msg_count_before} msgs → {len(session.history)} msgs ({pct_before}% → {pct_after}%)",
-                "before": pct_before,
-                "after": pct_after,
-            }
-
-        except Exception as e:
-            logger.error(f"Manual compact error {session_id}: {e}")
-            raise HTTPException(500, str(e))
-
-    return router
+_sys.modules[__name__] = _canonical

routes/hwfit_routes.py

@@ -1,8 +1,13 @@
+import json
+import os
 import re
+import shlex
+import subprocess
 from copy import deepcopy
 
 from fastapi import APIRouter, HTTPException
 
+from core.platform_compat import run_ssh_command
 from routes._validators import validate_remote_host, validate_ssh_port
 
 
@@ -107,6 +112,73 @@ def _apply_manual_hardware(system, manual_mode="", manual_gpu_count="", manual_v
     return system
 
 
+def _run_model_probe(host: str, ssh_port: str, cmd: str) -> str:
+    try:
+        if host:
+            r = run_ssh_command(
+                host,
+                ssh_port or None,
+                cmd,
+                timeout=15,
+                connect_timeout=5,
+                strict_host_key_checking=False,
+                text=True,
+            )
+        else:
+            r = subprocess.run(["bash", "-lc", cmd], capture_output=True, text=True, timeout=15)
+        if r.returncode == 0:
+            return (r.stdout or "").strip()
+    except Exception:
+        return ""
+    return ""
+
+
+def _inspect_model_path(model_path: str, host: str = "", ssh_port: str = "") -> dict:
+    """Read lightweight metadata from a local or SSH-visible HF model folder."""
+    path = (model_path or "").strip()
+    if not path or path.startswith(("http://", "https://")):
+        return {}
+    if not (path.startswith("/") or path.startswith("~")):
+        return {}
+
+    qpath = shlex.quote(path)
+    qconfig = shlex.quote(os.path.join(path, "config.json"))
+    out = {}
+    exists = _run_model_probe(host, ssh_port, f"test -d {qpath} && printf found || printf missing")
+    if exists != "found":
+        target = host or "local container"
+        out["model_probe_error"] = f"Model path is not visible on {target}: {path}"
+        return out
+    raw_config = _run_model_probe(host, ssh_port, f"test -f {qconfig} && sed -n '1,240p' {qconfig}")
+    if raw_config:
+        try:
+            cfg = json.loads(raw_config)
+        except Exception:
+            cfg = {}
+        for key in ("context_length", "max_position_embeddings", "n_ctx_train", "model_max_length", "max_seq_len"):
+            value = cfg.get(key)
+            if isinstance(value, (int, float)) and value > 0:
+                out["model_ctx_max"] = int(value)
+                break
+    else:
+        out["model_probe_error"] = f"config.json not found in model path: {path}"
+
+    size_cmd = (
+        f"find {qpath} -type f \\( -name '*.safetensors' -o -name '*.bin' -o -name '*.gguf' \\) "
+        "-printf '%s\\n' 2>/dev/null | awk '{s+=$1} END {if (s>0) printf \"%.6f\", s/1073741824}'"
+    )
+    weights = _run_model_probe(host, ssh_port, size_cmd)
+    try:
+        weights_gb = float(weights)
+    except Exception:
+        weights_gb = 0.0
+    if weights_gb > 0:
+        out["model_weights_gb"] = round(weights_gb, 3)
+    elif "model_probe_error" not in out:
+        out["model_probe_error"] = f"No model weight files found in: {path}"
+    return out
+
+
 def setup_hwfit_routes():
     router = APIRouter(prefix="/api/hwfit", tags=["hwfit"])
 
@@ -119,7 +191,7 @@ def setup_hwfit_routes():
         return detect_system(host=host, ssh_port=ssh_port, platform=platform, fresh=fresh)
 
     @router.get("/models")
-    def get_models(use_case: str = "", sort: str = "newest", limit: int = 50, search: str = "", host: str = "", quant: str = "", ctx: str = "", gpu_count: str = "", gpu_group: str = "", ssh_port: str = "", platform: str = "", fresh: bool = False, manual_mode: str = "", manual_gpu_count: str = "", manual_vram_gb: str = "", manual_ram_gb: str = "", manual_backend: str = "", ignore_detected_gpu: bool = False, ignore_detected_ram: bool = False, fit_only: bool = False):
+    def get_models(use_case: str = "", sort: str = "newest", limit: int = 50, search: str = "", host: str = "", quant: str = "", ctx: str = "", gpu_count: str = "", gpu_group: str = "", ssh_port: str = "", platform: str = "", fresh: bool = False, refresh_catalog: bool = False, manual_mode: str = "", manual_gpu_count: str = "", manual_vram_gb: str = "", manual_ram_gb: str = "", manual_backend: str = "", ignore_detected_gpu: bool = False, ignore_detected_ram: bool = False, fit_only: bool = False):
         """Rank LLM models against detected hardware and return scored results.
         gpu_count: override GPU count (0 = CPU only, 1-N = simulate N GPUs of the
             active group). gpu_group: index into system.gpu_groups (the homogeneous
@@ -128,11 +200,17 @@ def setup_hwfit_routes():
         fresh=true bypasses the hardware-detection cache."""
         from services.hwfit.hardware import detect_system
         from services.hwfit.fit import rank_models
-        from services.hwfit.models import get_models, model_catalog_path
+        from services.hwfit.models import get_models, model_catalog_path, refresh_dynamic_catalogs
         host, ssh_port = _validate_detection_target(host, ssh_port)
         system = deepcopy(detect_system(host=host, ssh_port=ssh_port, platform=platform, fresh=fresh))
         if system.get("error"):
             return {"system": system, "models": [], "error": system["error"]}
+        catalog_refresh = None
+        if refresh_catalog:
+            try:
+                catalog_refresh = refresh_dynamic_catalogs(force=True)
+            except Exception as e:
+                catalog_refresh = {"error": str(e)}
         if not get_models():
             return {
                 "system": system,
@@ -232,10 +310,13 @@ def setup_hwfit_routes():
             rank_kwargs.pop("target_context", None)
             rank_kwargs.pop("fit_only", None)
         results = rank_models(system, **rank_kwargs)
-        return {"system": system, "models": results}
+        payload = {"system": system, "models": results}
+        if catalog_refresh is not None:
+            payload["catalog_refresh"] = catalog_refresh
+        return payload
 
     @router.get("/profiles")
-    def get_serve_profiles(model: str = "", host: str = "", ssh_port: str = "", platform: str = "", fresh: bool = False, serve_weights_gb: float = 0.0, serve_quant: str = ""):
+    def get_serve_profiles(model: str = "", model_path: str = "", host: str = "", ssh_port: str = "", platform: str = "", fresh: bool = False, serve_weights_gb: float = 0.0, serve_quant: str = ""):
         """Compute llama.cpp serve profiles (Quality/Balanced/Speed) for `model`
         against the detected hardware on `host` (or local). Returns concrete
         flags (n_gpu_layers, n_cpu_moe, cache_type, ctx) the serve UI can apply.
@@ -260,8 +341,23 @@ def setup_hwfit_routes():
             # "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct".
             s = (s or "").lower().strip()
             s = s.split("/")[-1]                     # drop org prefix
-            s = re.sub(r"[-_.]?gguf$", "", s)        # drop trailing gguf marker
-            s = re.sub(r"[-_.](q\d[^/]*|iq\d[^/]*|fp8|bf16|f16|awq[^/]*|gptq[^/]*)$", "", s)
+            for suffix in ("-gguf", "_gguf", ".gguf", "gguf"):
+                if s.endswith(suffix):
+                    s = s[: -len(suffix)]
+                    break
+            cut_at = None
+            for idx, ch in enumerate(s):
+                if ch not in "-_." or idx + 1 >= len(s):
+                    continue
+                suffix = s[idx + 1:]
+                if (
+                    suffix in {"fp8", "bf16", "f16"}
+                    or suffix.startswith(("awq", "gptq", "iq"))
+                    or (suffix.startswith("q") and len(suffix) > 1 and suffix[1].isdigit())
+                ):
+                    cut_at = idx
+            if cut_at is not None:
+                s = s[:cut_at]
             return s
 
         m = catalog.get(model)
@@ -272,8 +368,16 @@ def setup_hwfit_routes():
                 if nn and (nn == want or want.endswith(nn) or nn.endswith(want)):
                     m = entry
                     break
+        path_meta = _inspect_model_path(model_path or model, host=host, ssh_port=ssh_port)
         if m is None:
-            return {"system": system, "profiles": [], "error": "model not in catalog"}
+            return {
+                "system": system,
+                "profiles": [],
+                "error": "model not in catalog",
+                "model_ctx_max": int(path_meta.get("model_ctx_max") or 0),
+                "model_weights_gb": float(path_meta.get("model_weights_gb") or 0),
+                "model_probe_error": path_meta.get("model_probe_error") or "",
+            }
         # Surface the model's trained context limit so the serve UI can clamp a
         # user-typed context down to it (asking for ctx > n_ctx_train overflows
         # and, with a quantized KV cache, can crash the GPU).
@@ -283,6 +387,16 @@ def setup_hwfit_routes():
             if isinstance(v, (int, float)) and v > 0:
                 model_ctx_max = int(v)
                 break
+        path_ctx_max = int(path_meta.get("model_ctx_max") or 0)
+        if path_ctx_max > 0:
+            model_ctx_max = max(model_ctx_max, path_ctx_max)
+        model_weights_gb = float(path_meta.get("model_weights_gb") or 0)
+        if model_weights_gb <= 0:
+            for k in ("min_vram_gb", "required_gb", "size_gb", "recommended_ram_gb", "min_ram_gb"):
+                v = m.get(k)
+                if isinstance(v, (int, float)) and v > 0:
+                    model_weights_gb = float(v)
+                    break
         return {
             "system": system,
             "profiles": compute_serve_profiles(
@@ -291,6 +405,8 @@ def setup_hwfit_routes():
                 serve_quant=(serve_quant or None),
             ),
             "model_ctx_max": model_ctx_max,
+            "model_weights_gb": model_weights_gb,
+            "model_probe_error": path_meta.get("model_probe_error") or "",
         }
 
     @router.get("/image-models")

routes/memory/__init__.py

@@ -0,0 +1,5 @@
+"""Memory route domain package (slice 2c, #4082/#4071).
+
+Contains memory_routes.py, migrated from the flat routes/ directory.
+Backward-compat shim at routes/memory_routes.py re-exports from here.
+"""

routes/memory/memory_routes.py

@@ -0,0 +1,552 @@
+# routes/memory_routes.py
+from fastapi import APIRouter, Form, HTTPException, Request, UploadFile, File
+from typing import Dict, Any, Optional, List
+import json
+import os
+import re
+import tempfile
+import time
+from datetime import datetime
+import logging
+
+# Leading list-marker like "1.", "12)", or "3:" plus surrounding whitespace.
+# Strips one prefix per call so import-from-LLM-output doesn't leave the
+# numbering inside the saved memory text. Bullet markers (-, *, •) are
+# also peeled here for the same reason.
+_LIST_PREFIX_RE = re.compile(r"^\s*(?:\d{1,3}[.):]\s+|[-*•]\s+)")
+
+
+def _strip_list_prefix(text: str) -> str:
+    if not text:
+        return text
+    return _LIST_PREFIX_RE.sub("", text, count=1).strip()
+
+from services.memory import MemoryManager
+from core.session_manager import SessionManager
+from src.request_models import MemoryAddRequest
+from core.database import SessionLocal
+from src.llm_core import llm_call_async
+from services.memory.memory_extractor import audit_memories
+from src.auth_helpers import get_current_user, require_user
+from src.endpoint_resolver import resolve_endpoint
+from src.task_endpoint import resolve_task_endpoint
+from src.upload_limits import read_upload_limited, MEMORY_IMPORT_MAX_BYTES
+
+logger = logging.getLogger(__name__)
+
+
+def setup_memory_routes(memory_manager: MemoryManager, session_manager: SessionManager, memory_vector=None):
+    """Set up memory-related routes."""
+    router = APIRouter(prefix="/api/memory", tags=["memory"])
+
+    def _owner(request: Request) -> Optional[str]:
+        return get_current_user(request)
+
+    def _assert_session_owner(session_obj, user):
+        """SECURITY: 404 if the caller does not own this session.
+
+        SessionManager.get_session is NOT owner-scoped — it returns any
+        session by id. These routes accept a caller-supplied session id, so
+        without this gate a user could target another tenant's session and
+        leak their chat history, their session-scoped LLM credentials, or the
+        session title. Mirrors session_routes / webhook_routes ownership.
+        """
+        if user is not None and getattr(session_obj, "owner", None) != user:
+            raise HTTPException(404, "Session not found")
+
+    def _verify_memory_owner(memory: dict, user: Optional[str]):
+        """Raise 404 if user doesn't own this memory.
+
+        SECURITY: strict ownership — previously `mem_owner and mem_owner != user`
+        allowed any user to read/edit/delete memories with an empty/null owner
+        field, which leaked legacy data across the multi-user deploy.
+        """
+        if user is None:
+            return  # Auth disabled
+        if memory.get("owner") != user:
+            raise HTTPException(404, "Memory not found")
+
+    @router.post("/debug")
+    def debug_memory_relevance(request: Request, query: str = Form(...)):
+        """Debug which memories would be triggered for a query"""
+        user = _owner(request)
+        memories = memory_manager.load(owner=user)
+        relevant = memory_manager.get_relevant_memories(query, memories, threshold=0.05)
+
+        return {
+            "query": query,
+            "total_memories": len(memories),
+            "relevant_count": len(relevant),
+            "relevant_memories": [{"text": m["text"], "category": m.get("category", "unknown")}
+                                 for m in relevant]
+        }
+
+    @router.post("/add", response_model=Dict[str, Any])
+    async def api_add_memory(
+        request: Request,
+        memory_data: Optional[MemoryAddRequest] = None
+    ):
+        """Add a new memory entry with optional category, source, and session reference."""
+        from src.auth_helpers import require_privilege
+        require_privilege(request, "can_manage_memory")
+        if memory_data is None:
+            form = await request.form()
+            memory_data = MemoryAddRequest(
+                text=form.get("text"),
+                category=form.get("category", "fact"),
+                source=form.get("source", "user"),
+                session_id=form.get("session_id")
+            )
+
+        user = _owner(request)
+        text = (memory_data.text or "").strip()
+        if not text:
+            raise HTTPException(400, "empty memory")
+        user_mem = memory_manager.load(owner=user)
+        if memory_manager.find_duplicates(text, user_mem):
+            return {"ok": True, "count": len(user_mem), "message": "Memory already exists"}
+
+        if memory_data.session_id:
+            try:
+                session_obj = session_manager.get_session(memory_data.session_id)
+            except KeyError:
+                raise HTTPException(404, "Session not found")
+            _assert_session_owner(session_obj, user)
+
+        new_entry = memory_manager.add_entry(text, memory_data.source, memory_data.category, owner=user)
+        if memory_data.session_id:
+            new_entry["session_id"] = memory_data.session_id
+        all_mem = memory_manager.load_all()
+        all_mem.append(new_entry)
+        memory_manager.save(all_mem)
+        # Sync vector index
+        if memory_vector and memory_vector.healthy:
+            memory_vector.add(new_entry["id"], text)
+        try:
+            from src.event_bus import fire_event
+            fire_event("memory_added", user)
+        except Exception:
+            logger.debug("memory_added event dispatch failed", exc_info=True)
+        return {"ok": True, "count": len([m for m in all_mem if m.get("owner") == user])}
+
+    @router.get("")
+    def api_get_memory(request: Request):
+        """Return all memory entries with their metadata."""
+        user = _owner(request)
+        return {"memory": memory_manager.load(owner=user)}
+
+    @router.post("/search")
+    def search_memories(request: Request, query: str = Form(...), session_id: str = Form(None), category: str = Form(None)):
+        """Search across all memories with optional filters."""
+        user = _owner(request)
+        memories = memory_manager.load(owner=user)
+
+        if session_id:
+            memories = [m for m in memories if m.get("session_id") == session_id]
+
+        if category:
+            memories = [m for m in memories if category in m.get("categories", [m.get("category", "")])]
+
+        relevant = memory_manager.get_relevant_memories(query, memories, threshold=0.05, max_items=20)
+
+        return {"memories": relevant, "total": len(relevant), "query": query}
+
+    @router.get("/timeline")
+    def memory_timeline(request: Request):
+        """Get memories in chronological order with source session information."""
+        user = _owner(request)
+        memories = memory_manager.load(owner=user)
+        sorted_memories = sorted(memories, key=lambda x: x.get("timestamp", 0), reverse=True)
+
+        results = []
+        for memory in sorted_memories:
+            if "timestamp" in memory:
+                try:
+                    dt = datetime.fromtimestamp(memory["timestamp"])
+                    memory["timestamp_str"] = dt.strftime("%Y-%m-%d %H:%M:%S")
+                except (ValueError, OSError, OverflowError):
+                    memory["timestamp_str"] = "Unknown"
+            else:
+                memory["timestamp_str"] = "Unknown"
+
+            session_id = memory.get("session_id")
+            if session_id and session_id in session_manager.sessions:
+                try:
+                    session = session_manager.get_session(session_id)
+                    if session:
+                        _assert_session_owner(session, user)
+                    memory["session_name"] = session.name if session else f"Session {session_id[:6]}"
+                except KeyError:
+                    memory["session_name"] = "Unknown"
+                except HTTPException as exc:
+                    if exc.status_code != 404:
+                        raise
+                    memory["session_name"] = "Unknown"
+            else:
+                memory["session_name"] = "Unknown"
+
+            results.append(memory)
+
+        return {"timeline": results, "total": len(results)}
+
+    @router.get("/by-session/{session_id}")
+    def get_memory_by_session(request: Request, session_id: str):
+        """Get all memories associated with a specific session."""
+        user = _owner(request)
+        try:
+            _session_obj = session_manager.get_session(session_id)
+        except KeyError:
+            raise HTTPException(404, f"Session {session_id} not found")
+        _assert_session_owner(_session_obj, user)
+        memories = memory_manager.load(owner=user)
+        session_memories = [m for m in memories if m.get("session_id") == session_id]
+
+        session_memories.sort(key=lambda x: x.get("timestamp", 0), reverse=True)
+
+        try:
+            session = session_manager.get_session(session_id)
+            session_name = session.name if session else f"Session {session_id[:6]}"
+        except KeyError:
+            session_name = f"Session {session_id[:6]}"
+
+        for memory in session_memories:
+            memory["session_name"] = session_name
+
+        return {
+            "session_id": session_id,
+            "session_name": session_name,
+            "memory_count": len(session_memories),
+            "memories": session_memories
+        }
+
+    @router.post("/extract")
+    async def extract_memory(request: Request, session: str = Form(...)) -> Dict[str, List[str]]:
+        """Analyze a session's chat history and return memory suggestions."""
+        require_user(request)
+        try:
+            sess = session_manager.get_session(session)
+        except KeyError:
+            raise HTTPException(404, "Session not found")
+        _assert_session_owner(sess, _owner(request))
+
+        system_msg = {
+            "role": "system",
+            "content": (
+                "You are a helpful assistant. Analyze the entire conversation history provided and extract any "
+                "useful factual statements, contacts, addresses, phone numbers, or other information that the user "
+                "might want to remember for future interactions. Return each piece of information as a JSON object "
+                "with a 'text' field. For example: [{'text': 'Alice lives at 123 Main St'}, {'text': 'Bob works at Acme Corp'}]. "
+                "Only include information that is specific and likely to be useful later."
+            ),
+        }
+        messages = [system_msg] + sess.get_context_messages()
+
+        t_url, t_model, t_headers = resolve_task_endpoint(
+            sess.endpoint_url, sess.model, sess.headers, owner=_owner(request)
+        )
+
+        try:
+            suggestion_text = await llm_call_async(
+                t_url,
+                t_model,
+                messages,
+                temperature=0.2,
+                max_tokens=500,
+                headers=t_headers,
+            )
+            try:
+                suggestions = json.loads(suggestion_text)
+                if isinstance(suggestions, list):
+                    suggestions = [s if isinstance(s, str) else s.get("text", "") for s in suggestions]
+                else:
+                    suggestions = []
+            except json.JSONDecodeError:
+                suggestions = [line.strip() for line in suggestion_text.splitlines() if line.strip()]
+
+            return {"suggestions": [s for s in suggestions if s]}
+        except Exception as e:
+            logger.error(f"LLM memory extraction failed (session {session}): {e}")
+            fallback = memory_manager.extract_memory_from_chat(sess.history, session)
+            return {"suggestions": [item["text"] for item in fallback]}
+
+    @router.post("/audit")
+    async def api_audit_memories(request: Request, session: str = Form(None)):
+        """Deduplicate and consolidate memories via LLM.
+
+        Uses task/utility/default settings through the shared resolver, with
+        the active session as fallback when no task or utility model is set.
+        Returns before and after memory counts.
+        """
+        user = _owner(request)
+        fallback_url = fallback_model = None
+        fallback_headers = None
+        if session:
+            try:
+                sess = session_manager.get_session(session)
+                _assert_session_owner(sess, user)
+                fallback_url = sess.endpoint_url
+                fallback_model = sess.model
+                fallback_headers = sess.headers
+            except KeyError:
+                pass
+
+        endpoint_url, model, headers = resolve_task_endpoint(
+            fallback_url, fallback_model, fallback_headers, owner=user
+        )
+
+        if not endpoint_url or not model:
+            raise HTTPException(400, "No default model configured — set one in Settings")
+
+        result = await audit_memories(
+            memory_manager,
+            memory_vector,
+            endpoint_url,
+            model,
+            headers,
+            owner=user,
+        )
+
+        if "error" in result and "before" not in result:
+            raise HTTPException(502, f"Audit failed: {result['error']}")
+
+        return {
+            "ok": "error" not in result,
+            "before": result.get("before", 0),
+            "after": result.get("after", 0),
+            "removed": result.get("before", 0) - result.get("after", 0),
+            # True when the audit skipped the LLM because nothing changed
+            # since the last tidy. Frontend already says "Already clean"
+            # for removed==0, so this is here for future use / debugging.
+            "already_tidy": bool(result.get("already_tidy")),
+        }
+
+    @router.post("/import")
+    async def import_memories_from_file(
+        request: Request,
+        session: str | None = Form(None),
+        file: UploadFile = File(...)
+    ):
+        """Extract memory suggestions from an uploaded file (PDF, TXT, MD, etc.)."""
+        from src.auth_helpers import require_privilege
+        require_privilege(request, "can_manage_memory")
+
+        endpoint_url = None
+        model = None
+        headers = {}
+
+        user = _owner(request)
+
+        if session:
+            try:
+                sess = session_manager.get_session(session)
+                _assert_session_owner(sess, user)
+            except KeyError:
+                sess = None
+            except HTTPException as exc:
+                if exc.status_code != 404:
+                    raise
+                sess = None
+
+            if sess is None:
+                logger.warning("Session %s not found or inaccessible, falling back to utility endpoint", session)
+                endpoint_url, model, headers = resolve_endpoint("utility", owner=user)
+            else:
+                endpoint_url, model, headers = resolve_task_endpoint(
+                    sess.endpoint_url, sess.model, sess.headers, owner=user
+                )
+        else:
+            endpoint_url, model, headers = resolve_task_endpoint(owner=user)
+    
+        if not endpoint_url or not model:
+            raise HTTPException(400, "No LLM model configured. Set a default model in Settings.")
+
+        content = await read_upload_limited(file, MEMORY_IMPORT_MAX_BYTES, "Memory import")
+        filename = file.filename or "upload"
+        _, ext = os.path.splitext(filename.lower())
+
+        allowed = {".txt", ".md", ".pdf", ".csv", ".log", ".json", ".py", ".js", ".html"}
+        if ext not in allowed:
+            raise HTTPException(400, f"Unsupported file type: {ext}")
+
+        # Extract text based on file type
+        if ext == ".pdf":
+            from src.document_processor import _process_pdf
+            with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as tmp:
+                tmp.write(content)
+                tmp_path = tmp.name
+            try:
+                text = _process_pdf(tmp_path, owner=_owner(request))
+            finally:
+                os.unlink(tmp_path)
+        else:
+            try:
+                text = content.decode("utf-8")
+            except UnicodeDecodeError:
+                from charset_normalizer import detect
+                encoding = (detect(content) or {}).get("encoding") or "utf-8"
+                text = content.decode(encoding, errors="replace")
+
+        if not text.strip():
+            return {"suggestions": [], "message": "No readable content found"}
+
+        # Fast path: a .json upload that already looks like a memories export
+        # (list of {text, category, ...} dicts, or list of strings) round-trips
+        # directly without spending an LLM call to re-extract its own output.
+        # Without this, re-importing a memories.json from another account
+        # ran the file through the extractor, which often re-emitted the
+        # entries as a numbered list (and the numbering leaked into the
+        # `text` field).
+        if ext == ".json":
+            try:
+                parsed = json.loads(text)
+            except json.JSONDecodeError:
+                parsed = None
+            if isinstance(parsed, list) and parsed:
+                direct = []
+                for item in parsed:
+                    if isinstance(item, dict) and item.get("text"):
+                        direct.append({
+                            "text": _strip_list_prefix(str(item["text"])),
+                            "category": item.get("category") or "fact",
+                        })
+                    elif isinstance(item, str) and item.strip():
+                        direct.append({
+                            "text": _strip_list_prefix(item.strip()),
+                            "category": "fact",
+                        })
+                if direct:
+                    return {"suggestions": direct, "filename": filename}
+
+        # Truncate very long documents
+        if len(text) > 15000:
+            text = text[:15000] + "\n[Truncated]"
+
+        # Send to LLM for memory extraction
+        import_prompt = (
+            "You are a memory extraction assistant. The user uploaded a document. "
+            "Analyze the text below and extract specific, useful facts — things like "
+            "names, preferences, jobs, locations, relationships, opinions, projects, "
+            "goals, contacts, or any other personal details worth remembering.\n\n"
+            "Rules:\n"
+            "- Each fact should be a short, self-contained statement\n"
+            "- Do NOT extract generic knowledge\n"
+            "- Focus on personal, memorable information\n"
+            "- If there are no useful facts, return an empty array\n\n"
+            "Return a JSON array of objects with 'text' and 'category' fields.\n"
+            "Categories: 'identity', 'preference', 'fact', 'contact', 'project', 'goal'\n\n"
+            "Return ONLY valid JSON, no markdown fences."
+        )
+
+        try:
+            raw = await llm_call_async(
+                endpoint_url,
+                model,
+                [
+                    {"role": "system", "content": import_prompt},
+                    {"role": "user", "content": f"Document: {filename}\n\n{text}"},
+                ],
+                temperature=0.2,
+                max_tokens=2000,
+                headers=headers,
+            )
+
+            # Parse JSON
+            raw = raw.strip()
+            if raw.startswith("```"):
+                raw = raw.split("\n", 1)[-1].rsplit("```", 1)[0].strip()
+
+            suggestions = json.loads(raw)
+            if isinstance(suggestions, list):
+                normalized = []
+                for s in suggestions:
+                    if not s:
+                        continue
+                    if isinstance(s, dict):
+                        s = dict(s)
+                        if s.get("text"):
+                            s["text"] = _strip_list_prefix(str(s["text"]))
+                        normalized.append(s)
+                    else:
+                        normalized.append({"text": _strip_list_prefix(str(s)), "category": "fact"})
+                suggestions = normalized
+            else:
+                suggestions = []
+
+            return {"suggestions": suggestions, "filename": filename}
+
+        except json.JSONDecodeError:
+            # Fallback: split by lines, stripping any "1.", "2)" markdown-list
+            # numbering the model added so saved memories don't keep the prefix.
+            lines = [_strip_list_prefix(l.strip()) for l in raw.splitlines() if l.strip() and len(l.strip()) > 5]
+            return {"suggestions": [{"text": l, "category": "fact"} for l in lines[:20]], "filename": filename}
+        except Exception as e:
+            logger.error(f"Memory import extraction failed: {e}")
+            raise HTTPException(502, f"LLM extraction failed: {str(e)}")
+
+    @router.post("/{memory_id}/pin")
+    def pin_memory(request: Request, memory_id: str, pinned: bool = Form(True)):
+        """Pin or unpin a memory. Pinned memories are always included in context."""
+        user = _owner(request)
+        all_mem = memory_manager.load_all()
+        for i, memory in enumerate(all_mem):
+            if memory["id"] == memory_id:
+                _verify_memory_owner(memory, user)
+                all_mem[i]["pinned"] = pinned
+                memory_manager.save(all_mem)
+                return {"ok": True, "pinned": pinned}
+        raise HTTPException(404, f"Memory item {memory_id} not found")
+
+    # Wildcard routes MUST come last — otherwise they swallow /import, /search, etc.
+    @router.get("/{memory_id}")
+    def get_memory_item(request: Request, memory_id: str):
+        """Get a specific memory item by ID."""
+        user = _owner(request)
+        memories = memory_manager.load(owner=user)
+        for memory in memories:
+            if memory["id"] == memory_id:
+                return {"memory": memory}
+
+        raise HTTPException(404, "Memory not found")
+
+    @router.put("/{memory_id}")
+    def update_memory(request: Request, memory_id: str, text: str = Form(...), category: str = Form(None)):
+        """Update an existing memory item with new text and optional category."""
+        user = _owner(request)
+        all_mem = memory_manager.load_all()
+        for i, memory in enumerate(all_mem):
+            if memory["id"] == memory_id:
+                _verify_memory_owner(memory, user)
+                all_mem[i]["text"] = text.strip()
+                if category:
+                    all_mem[i]["category"] = category
+                all_mem[i]["timestamp"] = int(time.time())
+
+                memory_manager.save(all_mem)
+                # Sync vector index (remove old, add updated)
+                if memory_vector and memory_vector.healthy:
+                    memory_vector.remove(memory_id)
+                    memory_vector.add(memory_id, text.strip())
+                return {"ok": True, "message": "Memory updated successfully"}
+
+        raise HTTPException(404, f"Memory item {memory_id} not found")
+
+    @router.delete("/{memory_id}")
+    def delete_memory(request: Request, memory_id: str):
+        """Delete a memory item by its ID."""
+        user = _owner(request)
+        all_mem = memory_manager.load_all()
+
+        # Find and verify ownership before deleting
+        target = next((m for m in all_mem if m["id"] == memory_id), None)
+        if not target:
+            raise HTTPException(404, f"Memory item {memory_id} not found")
+        _verify_memory_owner(target, user)
+
+        all_mem = [m for m in all_mem if m["id"] != memory_id]
+        memory_manager.save(all_mem)
+        # Sync vector index
+        if memory_vector and memory_vector.healthy:
+            memory_vector.remove(memory_id)
+        return {"ok": True, "message": "Memory deleted successfully"}
+
+    return router

routes/memory_routes.py

@@ -1,552 +1,18 @@
-# routes/memory_routes.py
-from fastapi import APIRouter, Form, HTTPException, Request, UploadFile, File
-from typing import Dict, Any, Optional, List
-import json
-import os
-import re
-import tempfile
-import time
-from datetime import datetime
-import logging
+"""Backward-compat shim — canonical location is routes/memory/memory_routes.py.
 
-# Leading list-marker like "1.", "12)", or "3:" plus surrounding whitespace.
-# Strips one prefix per call so import-from-LLM-output doesn't leave the
-# numbering inside the saved memory text. Bullet markers (-, *, •) are
-# also peeled here for the same reason.
-_LIST_PREFIX_RE = re.compile(r"^\s*(?:\d{1,3}[.):]\s+|[-*•]\s+)")
+This module is replaced in ``sys.modules`` by the canonical module object so
+that ``import routes.memory_routes``, ``from routes.memory_routes import X``,
+``importlib.import_module("routes.memory_routes")``, and
+``monkeypatch.setattr(routes.memory_routes, "ATTR", ...)`` (used by
+test_memory_routes_session_owner.py and test_memory_owner_isolation.py via
+``import ... as mr`` + ``setattr(mr, ...)``) all operate on the *same* object
+the application actually uses. Keeps existing import paths working after
+slice 2c (#4082/#4071). Source-introspection tests read the canonical file
+by path.
+"""
 
+import sys as _sys
 
-def _strip_list_prefix(text: str) -> str:
-    if not text:
-        return text
-    return _LIST_PREFIX_RE.sub("", text, count=1).strip()
+from routes.memory import memory_routes as _canonical  # noqa: F401
 
-from services.memory import MemoryManager
-from core.session_manager import SessionManager
-from src.request_models import MemoryAddRequest
-from core.database import SessionLocal
-from src.llm_core import llm_call_async
-from services.memory.memory_extractor import audit_memories
-from src.auth_helpers import get_current_user, require_user
-from src.endpoint_resolver import resolve_endpoint
-from src.task_endpoint import resolve_task_endpoint
-from src.upload_limits import read_upload_limited, MEMORY_IMPORT_MAX_BYTES
-
-logger = logging.getLogger(__name__)
-
-
-def setup_memory_routes(memory_manager: MemoryManager, session_manager: SessionManager, memory_vector=None):
-    """Set up memory-related routes."""
-    router = APIRouter(prefix="/api/memory", tags=["memory"])
-
-    def _owner(request: Request) -> Optional[str]:
-        return get_current_user(request)
-
-    def _assert_session_owner(session_obj, user):
-        """SECURITY: 404 if the caller does not own this session.
-
-        SessionManager.get_session is NOT owner-scoped — it returns any
-        session by id. These routes accept a caller-supplied session id, so
-        without this gate a user could target another tenant's session and
-        leak their chat history, their session-scoped LLM credentials, or the
-        session title. Mirrors session_routes / webhook_routes ownership.
-        """
-        if user is not None and getattr(session_obj, "owner", None) != user:
-            raise HTTPException(404, "Session not found")
-
-    def _verify_memory_owner(memory: dict, user: Optional[str]):
-        """Raise 404 if user doesn't own this memory.
-
-        SECURITY: strict ownership — previously `mem_owner and mem_owner != user`
-        allowed any user to read/edit/delete memories with an empty/null owner
-        field, which leaked legacy data across the multi-user deploy.
-        """
-        if user is None:
-            return  # Auth disabled
-        if memory.get("owner") != user:
-            raise HTTPException(404, "Memory not found")
-
-    @router.post("/debug")
-    def debug_memory_relevance(request: Request, query: str = Form(...)):
-        """Debug which memories would be triggered for a query"""
-        user = _owner(request)
-        memories = memory_manager.load(owner=user)
-        relevant = memory_manager.get_relevant_memories(query, memories, threshold=0.05)
-
-        return {
-            "query": query,
-            "total_memories": len(memories),
-            "relevant_count": len(relevant),
-            "relevant_memories": [{"text": m["text"], "category": m.get("category", "unknown")}
-                                 for m in relevant]
-        }
-
-    @router.post("/add", response_model=Dict[str, Any])
-    async def api_add_memory(
-        request: Request,
-        memory_data: Optional[MemoryAddRequest] = None
-    ):
-        """Add a new memory entry with optional category, source, and session reference."""
-        from src.auth_helpers import require_privilege
-        require_privilege(request, "can_manage_memory")
-        if memory_data is None:
-            form = await request.form()
-            memory_data = MemoryAddRequest(
-                text=form.get("text"),
-                category=form.get("category", "fact"),
-                source=form.get("source", "user"),
-                session_id=form.get("session_id")
-            )
-
-        user = _owner(request)
-        text = (memory_data.text or "").strip()
-        if not text:
-            raise HTTPException(400, "empty memory")
-        user_mem = memory_manager.load(owner=user)
-        if memory_manager.find_duplicates(text, user_mem):
-            return {"ok": True, "count": len(user_mem), "message": "Memory already exists"}
-
-        if memory_data.session_id:
-            try:
-                session_obj = session_manager.get_session(memory_data.session_id)
-            except KeyError:
-                raise HTTPException(404, "Session not found")
-            _assert_session_owner(session_obj, user)
-
-        new_entry = memory_manager.add_entry(text, memory_data.source, memory_data.category, owner=user)
-        if memory_data.session_id:
-            new_entry["session_id"] = memory_data.session_id
-        all_mem = memory_manager.load_all()
-        all_mem.append(new_entry)
-        memory_manager.save(all_mem)
-        # Sync vector index
-        if memory_vector and memory_vector.healthy:
-            memory_vector.add(new_entry["id"], text)
-        try:
-            from src.event_bus import fire_event
-            fire_event("memory_added", user)
-        except Exception:
-            logger.debug("memory_added event dispatch failed", exc_info=True)
-        return {"ok": True, "count": len([m for m in all_mem if m.get("owner") == user])}
-
-    @router.get("")
-    def api_get_memory(request: Request):
-        """Return all memory entries with their metadata."""
-        user = _owner(request)
-        return {"memory": memory_manager.load(owner=user)}
-
-    @router.post("/search")
-    def search_memories(request: Request, query: str = Form(...), session_id: str = Form(None), category: str = Form(None)):
-        """Search across all memories with optional filters."""
-        user = _owner(request)
-        memories = memory_manager.load(owner=user)
-
-        if session_id:
-            memories = [m for m in memories if m.get("session_id") == session_id]
-
-        if category:
-            memories = [m for m in memories if category in m.get("categories", [m.get("category", "")])]
-
-        relevant = memory_manager.get_relevant_memories(query, memories, threshold=0.05, max_items=20)
-
-        return {"memories": relevant, "total": len(relevant), "query": query}
-
-    @router.get("/timeline")
-    def memory_timeline(request: Request):
-        """Get memories in chronological order with source session information."""
-        user = _owner(request)
-        memories = memory_manager.load(owner=user)
-        sorted_memories = sorted(memories, key=lambda x: x.get("timestamp", 0), reverse=True)
-
-        results = []
-        for memory in sorted_memories:
-            if "timestamp" in memory:
-                try:
-                    dt = datetime.fromtimestamp(memory["timestamp"])
-                    memory["timestamp_str"] = dt.strftime("%Y-%m-%d %H:%M:%S")
-                except (ValueError, OSError, OverflowError):
-                    memory["timestamp_str"] = "Unknown"
-            else:
-                memory["timestamp_str"] = "Unknown"
-
-            session_id = memory.get("session_id")
-            if session_id and session_id in session_manager.sessions:
-                try:
-                    session = session_manager.get_session(session_id)
-                    if session:
-                        _assert_session_owner(session, user)
-                    memory["session_name"] = session.name if session else f"Session {session_id[:6]}"
-                except KeyError:
-                    memory["session_name"] = "Unknown"
-                except HTTPException as exc:
-                    if exc.status_code != 404:
-                        raise
-                    memory["session_name"] = "Unknown"
-            else:
-                memory["session_name"] = "Unknown"
-
-            results.append(memory)
-
-        return {"timeline": results, "total": len(results)}
-
-    @router.get("/by-session/{session_id}")
-    def get_memory_by_session(request: Request, session_id: str):
-        """Get all memories associated with a specific session."""
-        user = _owner(request)
-        try:
-            _session_obj = session_manager.get_session(session_id)
-        except KeyError:
-            raise HTTPException(404, f"Session {session_id} not found")
-        _assert_session_owner(_session_obj, user)
-        memories = memory_manager.load(owner=user)
-        session_memories = [m for m in memories if m.get("session_id") == session_id]
-
-        session_memories.sort(key=lambda x: x.get("timestamp", 0), reverse=True)
-
-        try:
-            session = session_manager.get_session(session_id)
-            session_name = session.name if session else f"Session {session_id[:6]}"
-        except KeyError:
-            session_name = f"Session {session_id[:6]}"
-
-        for memory in session_memories:
-            memory["session_name"] = session_name
-
-        return {
-            "session_id": session_id,
-            "session_name": session_name,
-            "memory_count": len(session_memories),
-            "memories": session_memories
-        }
-
-    @router.post("/extract")
-    async def extract_memory(request: Request, session: str = Form(...)) -> Dict[str, List[str]]:
-        """Analyze a session's chat history and return memory suggestions."""
-        require_user(request)
-        try:
-            sess = session_manager.get_session(session)
-        except KeyError:
-            raise HTTPException(404, "Session not found")
-        _assert_session_owner(sess, _owner(request))
-
-        system_msg = {
-            "role": "system",
-            "content": (
-                "You are a helpful assistant. Analyze the entire conversation history provided and extract any "
-                "useful factual statements, contacts, addresses, phone numbers, or other information that the user "
-                "might want to remember for future interactions. Return each piece of information as a JSON object "
-                "with a 'text' field. For example: [{'text': 'Alice lives at 123 Main St'}, {'text': 'Bob works at Acme Corp'}]. "
-                "Only include information that is specific and likely to be useful later."
-            ),
-        }
-        messages = [system_msg] + sess.get_context_messages()
-
-        t_url, t_model, t_headers = resolve_task_endpoint(
-            sess.endpoint_url, sess.model, sess.headers, owner=_owner(request)
-        )
-
-        try:
-            suggestion_text = await llm_call_async(
-                t_url,
-                t_model,
-                messages,
-                temperature=0.2,
-                max_tokens=500,
-                headers=t_headers,
-            )
-            try:
-                suggestions = json.loads(suggestion_text)
-                if isinstance(suggestions, list):
-                    suggestions = [s if isinstance(s, str) else s.get("text", "") for s in suggestions]
-                else:
-                    suggestions = []
-            except json.JSONDecodeError:
-                suggestions = [line.strip() for line in suggestion_text.splitlines() if line.strip()]
-
-            return {"suggestions": [s for s in suggestions if s]}
-        except Exception as e:
-            logger.error(f"LLM memory extraction failed (session {session}): {e}")
-            fallback = memory_manager.extract_memory_from_chat(sess.history, session)
-            return {"suggestions": [item["text"] for item in fallback]}
-
-    @router.post("/audit")
-    async def api_audit_memories(request: Request, session: str = Form(None)):
-        """Deduplicate and consolidate memories via LLM.
-
-        Uses task/utility/default settings through the shared resolver, with
-        the active session as fallback when no task or utility model is set.
-        Returns before and after memory counts.
-        """
-        user = _owner(request)
-        fallback_url = fallback_model = None
-        fallback_headers = None
-        if session:
-            try:
-                sess = session_manager.get_session(session)
-                _assert_session_owner(sess, user)
-                fallback_url = sess.endpoint_url
-                fallback_model = sess.model
-                fallback_headers = sess.headers
-            except KeyError:
-                pass
-
-        endpoint_url, model, headers = resolve_task_endpoint(
-            fallback_url, fallback_model, fallback_headers, owner=user
-        )
-
-        if not endpoint_url or not model:
-            raise HTTPException(400, "No default model configured — set one in Settings")
-
-        result = await audit_memories(
-            memory_manager,
-            memory_vector,
-            endpoint_url,
-            model,
-            headers,
-            owner=user,
-        )
-
-        if "error" in result and "before" not in result:
-            raise HTTPException(502, f"Audit failed: {result['error']}")
-
-        return {
-            "ok": "error" not in result,
-            "before": result.get("before", 0),
-            "after": result.get("after", 0),
-            "removed": result.get("before", 0) - result.get("after", 0),
-            # True when the audit skipped the LLM because nothing changed
-            # since the last tidy. Frontend already says "Already clean"
-            # for removed==0, so this is here for future use / debugging.
-            "already_tidy": bool(result.get("already_tidy")),
-        }
-
-    @router.post("/import")
-    async def import_memories_from_file(
-        request: Request,
-        session: str | None = Form(None),
-        file: UploadFile = File(...)
-    ):
-        """Extract memory suggestions from an uploaded file (PDF, TXT, MD, etc.)."""
-        from src.auth_helpers import require_privilege
-        require_privilege(request, "can_manage_memory")
-
-        endpoint_url = None
-        model = None
-        headers = {}
-
-        user = _owner(request)
-
-        if session:
-            try:
-                sess = session_manager.get_session(session)
-                _assert_session_owner(sess, user)
-            except KeyError:
-                sess = None
-            except HTTPException as exc:
-                if exc.status_code != 404:
-                    raise
-                sess = None
-
-            if sess is None:
-                logger.warning("Session %s not found or inaccessible, falling back to utility endpoint", session)
-                endpoint_url, model, headers = resolve_endpoint("utility", owner=user)
-            else:
-                endpoint_url, model, headers = resolve_task_endpoint(
-                    sess.endpoint_url, sess.model, sess.headers, owner=user
-                )
-        else:
-            endpoint_url, model, headers = resolve_task_endpoint(owner=user)
-    
-        if not endpoint_url or not model:
-            raise HTTPException(400, "No LLM model configured. Set a default model in Settings.")
-
-        content = await read_upload_limited(file, MEMORY_IMPORT_MAX_BYTES, "Memory import")
-        filename = file.filename or "upload"
-        _, ext = os.path.splitext(filename.lower())
-
-        allowed = {".txt", ".md", ".pdf", ".csv", ".log", ".json", ".py", ".js", ".html"}
-        if ext not in allowed:
-            raise HTTPException(400, f"Unsupported file type: {ext}")
-
-        # Extract text based on file type
-        if ext == ".pdf":
-            from src.document_processor import _process_pdf
-            with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as tmp:
-                tmp.write(content)
-                tmp_path = tmp.name
-            try:
-                text = _process_pdf(tmp_path, owner=_owner(request))
-            finally:
-                os.unlink(tmp_path)
-        else:
-            try:
-                text = content.decode("utf-8")
-            except UnicodeDecodeError:
-                from charset_normalizer import detect
-                encoding = (detect(content) or {}).get("encoding") or "utf-8"
-                text = content.decode(encoding, errors="replace")
-
-        if not text.strip():
-            return {"suggestions": [], "message": "No readable content found"}
-
-        # Fast path: a .json upload that already looks like a memories export
-        # (list of {text, category, ...} dicts, or list of strings) round-trips
-        # directly without spending an LLM call to re-extract its own output.
-        # Without this, re-importing a memories.json from another account
-        # ran the file through the extractor, which often re-emitted the
-        # entries as a numbered list (and the numbering leaked into the
-        # `text` field).
-        if ext == ".json":
-            try:
-                parsed = json.loads(text)
-            except json.JSONDecodeError:
-                parsed = None
-            if isinstance(parsed, list) and parsed:
-                direct = []
-                for item in parsed:
-                    if isinstance(item, dict) and item.get("text"):
-                        direct.append({
-                            "text": _strip_list_prefix(str(item["text"])),
-                            "category": item.get("category") or "fact",
-                        })
-                    elif isinstance(item, str) and item.strip():
-                        direct.append({
-                            "text": _strip_list_prefix(item.strip()),
-                            "category": "fact",
-                        })
-                if direct:
-                    return {"suggestions": direct, "filename": filename}
-
-        # Truncate very long documents
-        if len(text) > 15000:
-            text = text[:15000] + "\n[Truncated]"
-
-        # Send to LLM for memory extraction
-        import_prompt = (
-            "You are a memory extraction assistant. The user uploaded a document. "
-            "Analyze the text below and extract specific, useful facts — things like "
-            "names, preferences, jobs, locations, relationships, opinions, projects, "
-            "goals, contacts, or any other personal details worth remembering.\n\n"
-            "Rules:\n"
-            "- Each fact should be a short, self-contained statement\n"
-            "- Do NOT extract generic knowledge\n"
-            "- Focus on personal, memorable information\n"
-            "- If there are no useful facts, return an empty array\n\n"
-            "Return a JSON array of objects with 'text' and 'category' fields.\n"
-            "Categories: 'identity', 'preference', 'fact', 'contact', 'project', 'goal'\n\n"
-            "Return ONLY valid JSON, no markdown fences."
-        )
-
-        try:
-            raw = await llm_call_async(
-                endpoint_url,
-                model,
-                [
-                    {"role": "system", "content": import_prompt},
-                    {"role": "user", "content": f"Document: {filename}\n\n{text}"},
-                ],
-                temperature=0.2,
-                max_tokens=2000,
-                headers=headers,
-            )
-
-            # Parse JSON
-            raw = raw.strip()
-            if raw.startswith("```"):
-                raw = raw.split("\n", 1)[-1].rsplit("```", 1)[0].strip()
-
-            suggestions = json.loads(raw)
-            if isinstance(suggestions, list):
-                normalized = []
-                for s in suggestions:
-                    if not s:
-                        continue
-                    if isinstance(s, dict):
-                        s = dict(s)
-                        if s.get("text"):
-                            s["text"] = _strip_list_prefix(str(s["text"]))
-                        normalized.append(s)
-                    else:
-                        normalized.append({"text": _strip_list_prefix(str(s)), "category": "fact"})
-                suggestions = normalized
-            else:
-                suggestions = []
-
-            return {"suggestions": suggestions, "filename": filename}
-
-        except json.JSONDecodeError:
-            # Fallback: split by lines, stripping any "1.", "2)" markdown-list
-            # numbering the model added so saved memories don't keep the prefix.
-            lines = [_strip_list_prefix(l.strip()) for l in raw.splitlines() if l.strip() and len(l.strip()) > 5]
-            return {"suggestions": [{"text": l, "category": "fact"} for l in lines[:20]], "filename": filename}
-        except Exception as e:
-            logger.error(f"Memory import extraction failed: {e}")
-            raise HTTPException(502, f"LLM extraction failed: {str(e)}")
-
-    @router.post("/{memory_id}/pin")
-    def pin_memory(request: Request, memory_id: str, pinned: bool = Form(True)):
-        """Pin or unpin a memory. Pinned memories are always included in context."""
-        user = _owner(request)
-        all_mem = memory_manager.load_all()
-        for i, memory in enumerate(all_mem):
-            if memory["id"] == memory_id:
-                _verify_memory_owner(memory, user)
-                all_mem[i]["pinned"] = pinned
-                memory_manager.save(all_mem)
-                return {"ok": True, "pinned": pinned}
-        raise HTTPException(404, f"Memory item {memory_id} not found")
-
-    # Wildcard routes MUST come last — otherwise they swallow /import, /search, etc.
-    @router.get("/{memory_id}")
-    def get_memory_item(request: Request, memory_id: str):
-        """Get a specific memory item by ID."""
-        user = _owner(request)
-        memories = memory_manager.load(owner=user)
-        for memory in memories:
-            if memory["id"] == memory_id:
-                return {"memory": memory}
-
-        raise HTTPException(404, "Memory not found")
-
-    @router.put("/{memory_id}")
-    def update_memory(request: Request, memory_id: str, text: str = Form(...), category: str = Form(None)):
-        """Update an existing memory item with new text and optional category."""
-        user = _owner(request)
-        all_mem = memory_manager.load_all()
-        for i, memory in enumerate(all_mem):
-            if memory["id"] == memory_id:
-                _verify_memory_owner(memory, user)
-                all_mem[i]["text"] = text.strip()
-                if category:
-                    all_mem[i]["category"] = category
-                all_mem[i]["timestamp"] = int(time.time())
-
-                memory_manager.save(all_mem)
-                # Sync vector index (remove old, add updated)
-                if memory_vector and memory_vector.healthy:
-                    memory_vector.remove(memory_id)
-                    memory_vector.add(memory_id, text.strip())
-                return {"ok": True, "message": "Memory updated successfully"}
-
-        raise HTTPException(404, f"Memory item {memory_id} not found")
-
-    @router.delete("/{memory_id}")
-    def delete_memory(request: Request, memory_id: str):
-        """Delete a memory item by its ID."""
-        user = _owner(request)
-        all_mem = memory_manager.load_all()
-
-        # Find and verify ownership before deleting
-        target = next((m for m in all_mem if m["id"] == memory_id), None)
-        if not target:
-            raise HTTPException(404, f"Memory item {memory_id} not found")
-        _verify_memory_owner(target, user)
-
-        all_mem = [m for m in all_mem if m["id"] != memory_id]
-        memory_manager.save(all_mem)
-        # Sync vector index
-        if memory_vector and memory_vector.healthy:
-            memory_vector.remove(memory_id)
-        return {"ok": True, "message": "Memory deleted successfully"}
-
-    return router
+_sys.modules[__name__] = _canonical

routes/model_routes.py

@@ -17,7 +17,9 @@ from fastapi import APIRouter, HTTPException, Form, Query, Body, Request, Respon
 from pydantic import BaseModel
 from fastapi.responses import StreamingResponse
 from core.database import SessionLocal, ModelEndpoint, Session as DbSession
+from core.log_safety import redact_url as _redact_url_for_log
 from core.middleware import require_admin
+from src.constants import COOKBOOK_STATE_FILE
 from src.llm_core import _detect_provider, _host_match, ANTHROPIC_MODELS
 from src.tls_overrides import llm_verify
 from src.settings import load_settings as _load_settings, save_settings as _save_settings
@@ -111,6 +113,67 @@ def _clear_endpoint_settings_for_endpoint(settings: dict, ep_id: str, *, include
     return cleared
 
 
+_COOKBOOK_ACTIVE_SERVE_STATUSES = {
+    "starting", "loading", "ready", "running", "restarting",
+}
+
+
+def _active_cookbook_endpoint_ids() -> set[str]:
+    """Endpoint IDs owned by active Cookbook serve tasks.
+
+    Cookbook auto-registers endpoints with ids like ``local-*``. Those rows are
+    managed lifecycle state, not durable user configuration. If a tmux stream is
+    stopped or an old task lingers, the row must stop participating in model
+    selection and defaults.
+    """
+    try:
+        if not os.path.exists(COOKBOOK_STATE_FILE):
+            return set()
+        with open(COOKBOOK_STATE_FILE, "r", encoding="utf-8") as fh:
+            raw = fh.read()
+        state = json.loads(raw)
+    except Exception:
+        return set()
+    out: set[str] = set()
+    for task in state.get("tasks") or []:
+        if not isinstance(task, dict) or task.get("type") != "serve":
+            continue
+        if str(task.get("status") or "").lower() not in _COOKBOOK_ACTIVE_SERVE_STATUSES:
+            continue
+        ep_id = task.get("_endpointId") or task.get("endpointId") or task.get("endpoint_id")
+        if ep_id:
+            out.add(str(ep_id))
+    return out
+
+
+def _disable_stale_cookbook_local_endpoints(db) -> int:
+    """Disable enabled cookbook endpoints whose serve task is no longer active."""
+    active_ids = _active_cookbook_endpoint_ids()
+    if not active_ids:
+        return 0
+    stale = (
+        db.query(ModelEndpoint)
+        .filter(ModelEndpoint.is_enabled == True)  # noqa: E712
+        .filter(ModelEndpoint.id.like("local-%"))
+        .filter(~ModelEndpoint.id.in_(active_ids))
+        .all()
+    )
+    if not stale:
+        return 0
+    settings = _load_settings()
+    touched_settings = False
+    for ep in stale:
+        ep.is_enabled = False
+        ep.model_refresh_mode = "disabled"
+        if _clear_endpoint_settings_for_endpoint(settings, ep.id):
+            touched_settings = True
+        logger.info("Disabled stale Cookbook endpoint %s (%s @ %s)", ep.id, ep.name, ep.base_url)
+    if touched_settings:
+        _save_settings(settings)
+    db.commit()
+    return len(stale)
+
+
 def _clear_user_pref_endpoint_refs(all_prefs: dict, ep_id: str) -> int:
     """Remove endpoint references from scoped or legacy-flat user preferences."""
     if not isinstance(all_prefs, dict):
@@ -124,7 +187,24 @@ def _clear_user_pref_endpoint_refs(all_prefs: dict, ep_id: str) -> int:
     return cleared_users
 
 
-def _default_endpoint_needs_assignment(current_default_id: str, enabled_endpoint_ids) -> bool:
+def _endpoint_visible_model_ids(ep: Any) -> List[str]:
+    """Known visible model ids for an endpoint, including pinned/manual ids."""
+    if ep is None:
+        return []
+    return _visible_models(
+        getattr(ep, "cached_models", None),
+        getattr(ep, "hidden_models", None),
+        getattr(ep, "pinned_models", None),
+    )
+
+
+def _default_endpoint_needs_assignment(
+    current_default_id: str,
+    enabled_endpoint_ids,
+    *,
+    current_default_endpoint: Any = None,
+    current_default_model: str = "",
+) -> bool:
     """Whether the global default chat endpoint should be (re)assigned.
 
     True when nothing is configured yet, or the configured default no longer
@@ -136,7 +216,14 @@ def _default_endpoint_needs_assignment(current_default_id: str, enabled_endpoint
     """
     if not current_default_id:
         return True
-    return current_default_id not in enabled_endpoint_ids
+    if current_default_id not in enabled_endpoint_ids:
+        return True
+    if current_default_endpoint is None:
+        return False
+    if not (current_default_model or "").strip():
+        return True
+    visible = _endpoint_visible_model_ids(current_default_endpoint)
+    return bool(visible and current_default_model not in visible)
 
 
 # Loopback hosts a user might type for a local model server (LM Studio,
@@ -406,8 +493,11 @@ def _endpoint_refresh_timeout(ep: Any, category: str) -> float:
     except Exception:
         val = 0
     if val > 0:
-        return float(max(1, min(30, val)))
-    return 2.5 if category == "local" else 2.0
+        return float(max(1, min(60, val)))
+    # llama.cpp and other local OpenAI-compatible servers can block briefly
+    # while warming/loading. A 2s local timeout makes working endpoints flicker
+    # offline before /v1/models is ready.
+    return 10.0 if category == "local" else 2.0
 
 
 def _manual_refresh_timeout(ep: Any, category: str, requested: Any = None) -> float:
@@ -474,7 +564,7 @@ def _explicit_model_list_timeout(base_url: str, endpoint_kind: str = "auto", req
     category = _classify_endpoint(base_url, kind)
     if kind in ("api", "proxy") or category == "api":
         return 30.0
-    return 3.0 if _is_ollama_base(base_url) else 2.0
+    return 15.0 if category == "local" else (3.0 if _is_ollama_base(base_url) else 2.0)
 
 
 def _cached_model_ids(ep: Any) -> List[str]:
@@ -519,6 +609,10 @@ _NON_CHAT_EXACT_PREFIXES = (
 
 def _is_chat_model(model_id: str) -> bool:
     """Return True if the model ID looks like a chat/completions-capable model."""
+    if not isinstance(model_id, str):
+        # Non-compliant upstreams can return non-string IDs (e.g. int/None);
+        # treat them as chat-capable rather than crashing on .lower().
+        return True
     mid = model_id.lower()
     for prefix in _NON_CHAT_PREFIXES:
         if mid.startswith(prefix):
@@ -711,6 +805,51 @@ def _effective_endpoint_kind(ep: Any, base_url: str) -> str:
     return "auto"
 
 
+def _is_loading_model_response(resp: Any) -> bool:
+    if getattr(resp, "status_code", None) != 503:
+        return False
+    try:
+        body = resp.text or ""
+    except Exception:
+        body = ""
+    return "loading model" in body.lower()
+
+
+
+def _openai_model_ids(data: Any) -> List[str]:
+    """Extract OpenAI-style model IDs.
+
+    Accepts both standard ``{"data": [{"id": ...}]}`` responses and bare
+    ``[{"id": ...}]`` lists returned by some OpenAI-compatible providers.
+    Tolerates non-dict/non-list bodies and non-string IDs, returning only
+    non-empty string IDs.
+    """
+    if isinstance(data, list):
+        items = data
+    elif isinstance(data, dict):
+        items = data.get("data")
+    else:
+        items = None
+    return [m["id"] for m in (items or [])
+            if isinstance(m, dict) and isinstance(m.get("id"), str) and m["id"]]
+
+
+def _ollama_model_names(data: Any) -> List[str]:
+    """Extract native-Ollama model names (``{"models": [{"name"|"model": ...}]}``).
+
+    Same tolerance as :func:`_openai_model_ids`: a non-dict body or non-string
+    value is skipped rather than crashing, preserving name-then-model precedence.
+    """
+    items = data.get("models") if isinstance(data, dict) else None
+    out: List[str] = []
+    for m in (items or []):
+        if not isinstance(m, dict):
+            continue
+        v = m.get("name") or m.get("model")
+        if isinstance(v, str) and v:
+            out.append(v)
+    return out
+
 
 def _probe_endpoint(base_url: str, api_key: str = None, timeout: int = 5) -> List[str]:
     """Probe a base URL's /models endpoint and return list of model IDs.
@@ -734,7 +873,7 @@ def _probe_endpoint(base_url: str, api_key: str = None, timeout: int = 5) -> Lis
             r = httpx.get(url, headers=headers, timeout=timeout, verify=llm_verify())
             r.raise_for_status()
             data = r.json()
-            models = [m.get("id") for m in (data.get("data") or []) if m.get("id")]
+            models = _openai_model_ids(data)
             if models:
                 return models
         except httpx.HTTPStatusError as e:
@@ -756,10 +895,10 @@ def _probe_endpoint(base_url: str, api_key: str = None, timeout: int = 5) -> Lis
         r.raise_for_status()
         data = r.json()
         # OpenAI format: {"data": [{"id": "model-name"}]}
-        models = [m.get("id") for m in (data.get("data") or []) if m.get("id")]
+        models = _openai_model_ids(data)
         # Ollama format: {"models": [{"name": "model-name"}]}
         if not models:
-            models = [m.get("name") or m.get("model") for m in (data.get("models") or []) if m.get("name") or m.get("model")]
+            models = _ollama_model_names(data)
         if models:
             # Z.AI coding plan omits some working models from /models;
             # append curated-only entries for that endpoint only.
@@ -775,16 +914,19 @@ def _probe_endpoint(base_url: str, api_key: str = None, timeout: int = 5) -> Lis
                         models.append(_e)
             return [m for m in models if _is_chat_model(m)]
     except httpx.HTTPStatusError as e:
+        if e.response is not None and _is_loading_model_response(e.response):
+            logger.info("Endpoint still loading model at %s", _redact_url_for_log(url))
+            return []
         if api_key:
             status = e.response.status_code if e.response is not None else "unknown"
-            logger.warning(f"Failed to probe {url} with API key: HTTP {status}")
+            logger.warning("Failed to probe %s with API key: HTTP %s", _redact_url_for_log(url), status)
             return []
-        logger.warning(f"Failed to probe {url}: {e}")
+        logger.warning("Failed to probe %s: %s", _redact_url_for_log(url), e)
     except Exception as e:
         if api_key:
-            logger.warning(f"Failed to probe {url} with API key: {e}")
+            logger.warning("Failed to probe %s with API key: %s", _redact_url_for_log(url), e)
             return []
-        logger.warning(f"Failed to probe {url}: {e}")
+        logger.warning("Failed to probe %s: %s", _redact_url_for_log(url), e)
 
     # Older Ollama builds and some proxies expose native /api/tags even when
     # the OpenAI-compatible /v1/models path is unavailable.
@@ -795,7 +937,7 @@ def _probe_endpoint(base_url: str, api_key: str = None, timeout: int = 5) -> Lis
             r = httpx.get(root + "/api/tags", timeout=timeout, verify=llm_verify())
             r.raise_for_status()
             data = r.json()
-            models = [m.get("name") or m.get("model") for m in (data.get("models") or []) if m.get("name") or m.get("model")]
+            models = _ollama_model_names(data)
             if models:
                 return [m for m in models if _is_chat_model(m)]
     except Exception as e:
@@ -824,6 +966,15 @@ def _ping_endpoint(base_url: str, api_key: str = None, timeout: float = 1.5) ->
         or "ollama" in (parsed_base.hostname or "").lower()
     )
 
+    def _is_loading_model_response(r) -> bool:
+        if getattr(r, "status_code", None) != 503:
+            return False
+        try:
+            body = r.text or ""
+        except Exception:
+            body = ""
+        return "loading model" in body.lower()
+
     def _result_from_response(r) -> Dict[str, Any]:
         if 300 <= r.status_code < 400:
             loc = r.headers.get("location", "")
@@ -840,6 +991,13 @@ def _ping_endpoint(base_url: str, api_key: str = None, timeout: float = 1.5) ->
                 "status_code": r.status_code,
                 "error": None,
             }
+        if _is_loading_model_response(r):
+            return {
+                "reachable": True,
+                "loading": True,
+                "status_code": r.status_code,
+                "error": "Loading model",
+            }
         return {"reachable": False, "status_code": r.status_code, "error": f"HTTP {r.status_code}"}
 
     last_error: Optional[str] = None
@@ -872,7 +1030,7 @@ def _ping_endpoint(base_url: str, api_key: str = None, timeout: float = 1.5) ->
         if 400 <= sc < 500 and sc not in (401, 403):
             models_url = _safe_build_models_url(base)
             try:
-                r2 = httpx.get(models_url, headers=headers, timeout=timeout, verify=llm_verify())
+                r2 = httpx.get(models_url, headers=headers,timeout=timeout, verify=llm_verify())
                 result2 = _result_from_response(r2)
                 if result2["reachable"]:
                     return result2
@@ -994,6 +1152,36 @@ def _merge_model_ids(*lists):
     return out
 
 
+def _is_mlx_deepseek_v4_repo_id(model_id: str) -> bool:
+    m = str(model_id or "").lower()
+    return "mlx-community/deepseek-v4" in m
+
+
+def _is_mlx_deepseek_v4_shim_id(model_id: str) -> bool:
+    m = str(model_id or "").lower()
+    return "/.cache/odysseus/mlx-shims/deepseek-v4" in m
+
+
+def _filter_mlx_deepseek_v4_repo_when_shimmed(model_ids):
+    """Hide the broken MLX repo id when a launch-specific shim id is available.
+
+    mlx_lm.server may advertise the original HF repo id even though generation
+    only works through Odysseus' sanitized local shim. Keep the shim as the
+    submitted model id and remove the raw repo id from the picker/default list.
+    """
+    ids = list(model_ids or [])
+    has_shim = any(_is_mlx_deepseek_v4_shim_id(m) for m in ids)
+    if not has_shim:
+        return ids
+    return [m for m in ids if not _is_mlx_deepseek_v4_repo_id(m)]
+
+
+def _model_display_name(model_id: str) -> str:
+    if _is_mlx_deepseek_v4_shim_id(model_id):
+        return str(model_id or "").rstrip("/").split("/")[-1] or "DeepSeek-V4-Flash-4bit"
+    return str(model_id or "").split("/")[-1]
+
+
 def _visible_models(cached_models, hidden_models, pinned_models=None):
     """Merge cached + pinned model IDs, then filter out hidden ones.
 
@@ -1007,6 +1195,7 @@ def _visible_models(cached_models, hidden_models, pinned_models=None):
         _normalize_model_ids(cached_models),
         _normalize_model_ids(pinned_models),
     )
+    merged = _filter_mlx_deepseek_v4_repo_when_shimmed(merged)
     if not hidden_models:
         return merged
     hidden = set(_normalize_model_ids(hidden_models))
@@ -1056,9 +1245,11 @@ def setup_model_routes(model_discovery):
         except Exception:
             return 0.0
 
-    def _failure_delay(fails: int) -> float:
+    def _failure_delay(fails: int, *, empty_local: bool = False) -> float:
         if fails <= 0:
             return 0.0
+        if empty_local:
+            return min(5.0 * (2 ** max(0, fails - 1)), 30.0)
         return min(_REFRESH_FAILURE_BASE * (2 ** max(0, fails - 1)), _REFRESH_FAILURE_MAX)
 
     def _should_refresh_endpoint(ep: Any, now: float, force: bool = False) -> tuple[bool, Dict[str, Any]]:
@@ -1089,7 +1280,12 @@ def setup_model_routes(model_discovery):
         fails = int(state.get("fail_count") or 0)
         if fails and not force:
             last_failure = float(state.get("last_failure") or 0.0)
-            if now - last_failure < _failure_delay(fails):
+            empty_local = (
+                not cached
+                and category == "local"
+                and str(getattr(ep, "id", "") or "").startswith("local-")
+            )
+            if now - last_failure < _failure_delay(fails, empty_local=empty_local):
                 return False, info
         if cached and not force:
             interval = _endpoint_refresh_interval(ep, category)
@@ -1115,6 +1311,8 @@ def setup_model_routes(model_discovery):
                 db = SessionLocal()
                 changed = False
                 try:
+                    if _disable_stale_cookbook_local_endpoints(db):
+                        changed = True
                     endpoints = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True).all()
                     now = _time.time()
                     groups: Dict[str, Dict[str, Any]] = {}
@@ -1188,6 +1386,8 @@ def setup_model_routes(model_discovery):
 
         db = SessionLocal()
         try:
+            if _disable_stale_cookbook_local_endpoints(db):
+                _invalidate_models_cache()
             q = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True)
             if owner and not is_admin:
                 # Regular users see: their own endpoints + null-owner
@@ -1227,9 +1427,9 @@ def setup_model_routes(model_discovery):
                     "port": 0,
                     "url": chat_url,
                     "models": curated,
-                    "models_display": [mid.split("/")[-1] for mid in curated],
+                    "models_display": [_model_display_name(mid) for mid in curated],
                     "models_extra": extra,
-                    "models_extra_display": [mid.split("/")[-1] for mid in extra],
+                    "models_extra_display": [_model_display_name(mid) for mid in extra],
                     "endpoint_id": ep.id,
                     "endpoint_name": ep.name,
                     "category": category,
@@ -1257,7 +1457,7 @@ def setup_model_routes(model_discovery):
         return {"hosts": [], "items": items}
 
     @router.get("/models")
-    def api_models(request: Request, refresh: bool = False):
+    def api_models(request: Request, refresh: bool = False, background: bool = False):
         """Get available models — per-user (caller sees only their endpoints +
         legacy/shared null-owner rows). Cached per-user for 30s."""
         # Require auth; "" is the unconfigured single-user mode, treated as
@@ -1299,8 +1499,11 @@ def setup_model_routes(model_discovery):
             return cache_entry["data"]
         result = _fetch_models(owner=owner, is_admin=_is_admin)
         _models_cache[_cache_key] = {"data": result, "time": now}
-        # Kick off background refresh to update caches from live endpoints
-        _refresh_caches_bg(force=refresh)
+        # Kick off background refresh to update caches from live endpoints.
+        # Page boot can opt out with background=false so opening Odysseus does
+        # not start endpoint probes against slow/offline model servers.
+        if background or refresh:
+            _refresh_caches_bg(force=refresh)
         return result
 
     # Brief cache for local-probe results so picker-open doesn't hammer
@@ -1309,6 +1512,7 @@ def setup_model_routes(model_discovery):
     # within ~8s of the user noticing.
     _LOCAL_PROBE_TTL = 8.0
     _local_probe_cache: Dict[str, Any] = {"data": None, "time": 0.0}
+    _local_probe_inflight: Dict[str, Any] = {"task": None}
 
     @router.get("/model-endpoints/probe-local")
     async def probe_local_endpoints(request: Request):
@@ -1323,58 +1527,72 @@ def setup_model_routes(model_discovery):
                 (now - _local_probe_cache["time"]) < _LOCAL_PROBE_TTL):
             return _local_probe_cache["data"]
 
-        db = SessionLocal()
-        try:
-            endpoints = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True).all()
-            local_eps = []
-            for ep in endpoints:
-                base = _normalize_base(ep.base_url)
-                kind = _effective_endpoint_kind(ep, base)
-                if _classify_endpoint(base, kind) == "local":
-                    local_eps.append((ep.id, base, ep.api_key))
-        finally:
-            db.close()
-
-        grouped: Dict[str, Dict[str, Any]] = {}
-        for ep_id, base, api_key in local_eps:
-            key = _refresh_key(base, api_key)
-            grouped.setdefault(key, {"base": base, "api_key": api_key, "endpoint_ids": []})["endpoint_ids"].append(ep_id)
-
-        async def _probe_one(data: Dict[str, Any]) -> Dict[str, Any]:
-            t0 = _time.time()
-            try:
-                import asyncio as _asyncio
-                # Bumped 1.5s → 3.5s. The previous 1.5s budget was clipping
-                # local vLLM endpoints on Tailscale links where the model
-                # server is still loading (Qwen3.5-122B takes 2–3 min to
-                # warm); /v1/models can take 500–2500 ms on a busy box,
-                # which pushed _ping_endpoint's full path-discovery sweep
-                # past the cap and marked the row offline despite the
-                # user actively chatting with it.
-                ping = await _asyncio.to_thread(_ping_endpoint, data["base"], data.get("api_key"), 3.5)
-                lat = round((_time.time() - t0) * 1000)
-                return {
-                    "alive": bool(ping.get("reachable")),
-                    "latency_ms": lat,
-                    "status_code": ping.get("status_code"),
-                    "error": ping.get("error"),
-                }
-            except Exception as e:
-                return {"alive": False, "latency_ms": None, "status_code": None, "error": str(e)[:120]}
-
         import asyncio as _asyncio
-        results_list = await _asyncio.gather(
-            *[_probe_one(data) for data in grouped.values()],
-            return_exceptions=False,
-        )
-        results: Dict[str, Any] = {}
-        for data, r in zip(grouped.values(), results_list):
-            for eid in data["endpoint_ids"]:
-                results[eid] = r
+        task = _local_probe_inflight.get("task")
+        if task is not None and not task.done():
+            return await task
 
-        _local_probe_cache["data"] = results
-        _local_probe_cache["time"] = now
-        return results
+        async def _compute_local_probe() -> Dict[str, Any]:
+            db = SessionLocal()
+            try:
+                if _disable_stale_cookbook_local_endpoints(db):
+                    _invalidate_models_cache()
+                endpoints = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True).all()
+                local_eps = []
+                for ep in endpoints:
+                    base = _normalize_base(ep.base_url)
+                    kind = _effective_endpoint_kind(ep, base)
+                    if _classify_endpoint(base, kind) == "local":
+                        local_eps.append((ep.id, base, ep.api_key))
+            finally:
+                db.close()
+
+            grouped: Dict[str, Dict[str, Any]] = {}
+            for ep_id, base, api_key in local_eps:
+                key = _refresh_key(base, api_key)
+                grouped.setdefault(key, {"base": base, "api_key": api_key, "endpoint_ids": []})["endpoint_ids"].append(ep_id)
+
+            async def _probe_one(data: Dict[str, Any]) -> Dict[str, Any]:
+                t0 = _time.time()
+                try:
+                    # Bumped 1.5s → 3.5s. The previous 1.5s budget was clipping
+                    # local vLLM endpoints on Tailscale links where the model
+                    # server is still loading (Qwen3.5-122B takes 2–3 min to
+                    # warm); /v1/models can take 500–2500 ms on a busy box,
+                    # which pushed _ping_endpoint's full path-discovery sweep
+                    # past the cap and marked the row offline despite the
+                    # user actively chatting with it.
+                    ping = await _asyncio.to_thread(_ping_endpoint, data["base"], data.get("api_key"), 3.5)
+                    lat = round((_time.time() - t0) * 1000)
+                    return {
+                        "alive": bool(ping.get("reachable")),
+                        "latency_ms": lat,
+                        "status_code": ping.get("status_code"),
+                        "error": ping.get("error"),
+                    }
+                except Exception as e:
+                    return {"alive": False, "latency_ms": None, "status_code": None, "error": str(e)[:120]}
+
+            results_list = await _asyncio.gather(
+                *[_probe_one(data) for data in grouped.values()],
+                return_exceptions=False,
+            )
+            results: Dict[str, Any] = {}
+            for data, r in zip(grouped.values(), results_list):
+                for eid in data["endpoint_ids"]:
+                    results[eid] = r
+
+            _local_probe_cache["data"] = results
+            _local_probe_cache["time"] = _time.time()
+            return results
+
+        task = _asyncio.create_task(_compute_local_probe())
+        _local_probe_inflight["task"] = task
+        try:
+            return await task
+        finally:
+            if _local_probe_inflight.get("task") is task:
+                _local_probe_inflight["task"] = None
 
     @router.get("/ping")
     def ping_endpoints(request: Request):
@@ -1404,7 +1622,7 @@ def setup_model_routes(model_discovery):
                 t0 = _time.time()
                 ping = _ping_endpoint(base, ep.api_key, timeout=1.5)
                 entry["latency_ms"] = round((_time.time() - t0) * 1000)
-                entry["status"] = "online" if ping.get("reachable") or cached_count else "offline"
+                entry["status"] = "loading" if ping.get("loading") else ("online" if ping.get("reachable") or cached_count else "offline")
                 entry["error"] = ping.get("error")
                 entry["model_count"] = cached_count or (len(ANTHROPIC_MODELS) if provider == "anthropic" else 0)
             except Exception as e:
@@ -1557,6 +1775,8 @@ def setup_model_routes(model_discovery):
         require_admin(request)
         db = SessionLocal()
         try:
+            if _disable_stale_cookbook_local_endpoints(db):
+                _invalidate_models_cache()
             rows = db.query(ModelEndpoint).order_by(ModelEndpoint.created_at).all()
             results = []
             for r in rows:
@@ -1564,39 +1784,11 @@ def setup_model_routes(model_discovery):
                 hidden = _hidden_model_ids(r)
                 pinned = _normalize_model_ids(getattr(r, "pinned_models", None))
                 visible = _visible_models(all_models, r.hidden_models, pinned)
-                # Endpoint counts as reachable if it has any model — including
-                # admin-pinned IDs that a probe would never surface.
-                status = "online" if (all_models or pinned) else "offline"
+                # Keep the list route cache-only. It feeds Settings →
+                # Added Models and must render immediately; explicit
+                # Refresh/Probe endpoints do the network work.
+                status = "online" if (all_models or pinned) else ("empty" if r.is_enabled else "offline")
                 ping = None
-                # When cached_models is empty, do a quick reachability probe.
-                # Bumped 1.0s → 3.5s because the user reported endpoints they
-                # were ACTIVELY chatting with showed "offline" — the previous
-                # 1s timeout was clipping live cloud endpoints (DeepSeek can
-                # take 1.5–2.5s on /v1/models when their region is under load,
-                # vLLM on a remote GPU box behind SSH can also push past 1s).
-                # 3.5s still keeps the picker render snappy in the common
-                # "everything's already cached" path because this branch only
-                # runs for endpoints with an empty cached_models.
-                if not all_models and not pinned and r.is_enabled:
-                    ping = _ping_endpoint(r.base_url, r.api_key, timeout=3.5)
-                    if ping.get("reachable"):
-                        status = "empty"
-                        # Best-effort: if the probe came back reachable, try
-                        # to populate cached_models in the background so the
-                        # NEXT picker load shows "online" instead of "empty".
-                        # Failure here is silent — we already returned the
-                        # "empty" status, and the existing background refresh
-                        # path will eventually fill it in too.
-                        try:
-                            probed = _probe_endpoint(r.base_url, r.api_key, timeout=5)
-                            if probed:
-                                r.cached_models = json.dumps(probed)
-                                db.commit()
-                                all_models = probed
-                                visible = _visible_models(all_models, r.hidden_models, pinned)
-                                status = "online"
-                        except Exception as _refill_err:
-                            logger.debug(f"opportunistic cached_models refill failed for {r.id}: {_refill_err!r}")
                 base = _normalize_base(r.base_url)
                 kind = _effective_endpoint_kind(r, base)
                 results.append({
@@ -1726,7 +1918,14 @@ def setup_model_routes(model_discovery):
                 if api_key.strip() and not existing.api_key:
                     existing.api_key = api_key.strip()
                     changed = True
-                if should_probe:
+                # Keep duplicate endpoint registration cheap. This path is hit
+                # by Cookbook/browser auto-register flows and can run while the
+                # user is sending a chat message. Probing a stale LAN endpoint
+                # here used to hold the request open for tens of seconds and
+                # contend with session creation, making "send" feel blocked.
+                # Explicit "require models" calls still probe; normal refresh
+                # belongs to /model-endpoints/{id}/models or /probe.
+                if require_model_list:
                     probed_models = _probe_endpoint(
                         base_url,
                         (api_key.strip() or existing.api_key or None),
@@ -1766,7 +1965,7 @@ def setup_model_routes(model_discovery):
         model_ids = _probe_endpoint(base_url, api_key.strip() or None, timeout=explicit_timeout) if should_probe else []
         ping = {"reachable": False, "error": None}
         if (should_probe or requested_kind in ("api", "proxy")) and not model_ids:
-            ping = _ping_endpoint(base_url, api_key.strip() or None, timeout=min(explicit_timeout, 2.0))
+            ping = _ping_endpoint(base_url, api_key.strip() or None, timeout=min(explicit_timeout, 10.0))
         if require_model_list and not model_ids:
             raise HTTPException(400, _model_endpoint_error_message(base_url, ping))
 
@@ -1813,7 +2012,18 @@ def setup_model_routes(model_discovery):
                     ModelEndpoint.is_enabled == True  # noqa: E712
                 ).all()
             }
-            if _default_endpoint_needs_assignment(settings.get("default_endpoint_id") or "", enabled_ids):
+            current_default_id = settings.get("default_endpoint_id") or ""
+            current_default_ep = None
+            if current_default_id:
+                current_default_ep = db.query(ModelEndpoint).filter(
+                    ModelEndpoint.id == current_default_id
+                ).first()
+            if _default_endpoint_needs_assignment(
+                current_default_id,
+                enabled_ids,
+                current_default_endpoint=current_default_ep,
+                current_default_model=settings.get("default_model") or "",
+            ):
                 from src.endpoint_resolver import _first_chat_model
                 settings["default_endpoint_id"] = ep.id
                 settings["default_model"] = _first_chat_model(model_ids) or ""
@@ -1833,7 +2043,7 @@ def setup_model_routes(model_discovery):
             "models": _merge_model_ids(model_ids, _pinned),
             "pinned_models": _pinned,
             "online": bool(model_ids) or bool(_pinned) or bool(ping.get("reachable")),
-            "status": "online" if (model_ids or _pinned) else ("empty" if ping.get("reachable") else "offline"),
+            "status": "online" if (model_ids or _pinned) else ("loading" if ping.get("loading") else ("empty" if ping.get("reachable") else "offline")),
             "ping_error": ping.get("error") if ping else None,
             "endpoint_kind": requested_kind,
             "category": _classify_endpoint(base_url, requested_kind),
@@ -1858,11 +2068,11 @@ def setup_model_routes(model_discovery):
         configured_timeout = _parse_positive_int(model_refresh_timeout, minimum=1, maximum=60)
         probe_timeout = _explicit_model_list_timeout(base_url, requested_kind, configured_timeout)
         models = _probe_endpoint(base_url, api_key.strip() or None, timeout=probe_timeout)
-        ping = {"reachable": True, "error": None} if models else _ping_endpoint(base_url, api_key.strip() or None, timeout=min(probe_timeout, 2.0))
+        ping = {"reachable": True, "error": None} if models else _ping_endpoint(base_url, api_key.strip() or None, timeout=min(probe_timeout, 10.0))
         return {
             "base_url": base_url,
             "online": bool(models) or bool(ping.get("reachable")),
-            "status": "online" if models else ("empty" if ping.get("reachable") else "offline"),
+            "status": "online" if models else ("loading" if ping.get("loading") else ("empty" if ping.get("reachable") else "offline")),
             "ping_error": ping.get("error") if ping else None,
             "models": models,
             "count": len(models),
@@ -2040,6 +2250,16 @@ def setup_model_routes(model_discovery):
             ep_id = (_user_prefs.get("default_endpoint_id") or "").strip()
             model = (_user_prefs.get("default_model") or "").strip()
             _fallbacks = _user_prefs.get("default_model_fallbacks") or []
+            # If user has no personal default, fall back to global default
+            # But only based on the "share_defaults_with_users" flag
+            # (only if share_defaults_with_users is enabled)
+            if settings.get("share_defaults_with_users", False):
+                if not ep_id:
+                    ep_id = settings.get("default_endpoint_id", "")
+                if not model:
+                    model = settings.get("default_model", "")
+                if not _fallbacks:
+                    _fallbacks = settings.get("default_model_fallbacks") or []
         else:
             ep_id = settings.get("default_endpoint_id", "")
             model = settings.get("default_model", "")

routes/note_routes.py

@@ -335,10 +335,11 @@ async def dispatch_reminder(
             # Loud diagnostic so we can see WHY a reminder didn't send (the
             # previous "silently no-op when cfg has no smtp_host" was invisible).
             logger.info(
-                f"dispatch_reminder[email] note_id={note_id} owner={owner!r} "
-                f"smtp_host={cfg.get('smtp_host')!r} smtp_user={cfg.get('smtp_user')!r} "
-                f"from={from_addr!r} recipient={recipient!r} "
-                f"account_name={cfg.get('account_name')!r}"
+                "dispatch_reminder[email] note_id=%s owner=%r "
+                "has_smtp_host=%s has_smtp_user=%s has_from=%s has_recipient=%s",
+                note_id, owner,
+                bool(cfg.get("smtp_host")), bool(cfg.get("smtp_user")),
+                bool(from_addr), bool(recipient),
             )
             missing = []
             if not cfg.get("smtp_host"):
@@ -482,11 +483,22 @@ async def dispatch_reminder(
                 api_key = intg.get("api_key", "")
                 if api_key:
                     hdrs["Authorization"] = f"Bearer {api_key}"
-                async with httpx.AsyncClient(timeout=10.0) as client:
-                    resp = await client.post(f"{base}/{topic}", content=ntfy_body, headers=hdrs)
-                    ntfy_sent = resp.is_success
-                    if not ntfy_sent:
-                        ntfy_error = f"ntfy returned HTTP {resp.status_code}"
+                # SSRF guard — same check (and env knob) as the webhook branch
+                # above: link-local / metadata addresses are always rejected;
+                # REMINDER_WEBHOOK_BLOCK_PRIVATE_IPS=true also blocks RFC-1918
+                # so a ntfy base_url can't be pointed at internal services.
+                import os as _os
+                from src.url_safety import check_outbound_url as _chk
+                _block = _os.getenv("REMINDER_WEBHOOK_BLOCK_PRIVATE_IPS", "false").lower() == "true"
+                _ok, _reason = _chk(f"{base}/{topic}", block_private=_block)
+                if not _ok:
+                    ntfy_error = f"ntfy URL rejected: {_reason}"
+                else:
+                    async with httpx.AsyncClient(timeout=10.0) as client:
+                        resp = await client.post(f"{base}/{topic}", content=ntfy_body, headers=hdrs)
+                        ntfy_sent = resp.is_success
+                        if not ntfy_sent:
+                            ntfy_error = f"ntfy returned HTTP {resp.status_code}"
             else:
                 ntfy_error = "No enabled ntfy integration"
         except Exception as e:

routes/preset_routes.py

@@ -1,5 +1,6 @@
 """Preset routes — /api/presets GET, /api/presets/custom POST, user templates CRUD."""
 
+import asyncio
 import logging
 import uuid
 from typing import Dict, Any, List
@@ -102,7 +103,7 @@ def setup_preset_routes(preset_manager) -> APIRouter:
         try:
             model_spec = data.get("model") or ""
             user = effective_user(request)
-            url, model, headers = _resolve_model(model_spec, owner=user)
+            url, model, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=user)
             result = await llm_call_async(url, model, messages, temperature=0.8, max_tokens=500, headers=headers)
             return {"success": True, "prompt": result.strip()}
         except Exception as e:

routes/research/__init__.py

@@ -0,0 +1,5 @@
+"""Research route domain package (slice 2b, #4082/#4071).
+
+Contains research_routes.py, migrated from the flat routes/ directory.
+Backward-compat shim at routes/research_routes.py re-exports from here.
+"""

routes/research/research_routes.py

@@ -0,0 +1,783 @@
+"""Research background task routes — /api/research/*."""
+
+import asyncio
+import json
+import logging
+import re
+import uuid
+from datetime import datetime
+from pathlib import Path
+from typing import Optional
+
+from fastapi import APIRouter, HTTPException, Query, Request
+from fastapi.responses import HTMLResponse, StreamingResponse
+from pydantic import BaseModel, Field
+from core.middleware import INTERNAL_TOOL_USER
+from src.endpoint_resolver import resolve_endpoint
+from src.auth_helpers import _auth_disabled, get_current_user
+from core.auth import RESERVED_USERNAMES
+from src.constants import DEEP_RESEARCH_DIR
+
+_SESSION_ID_RE = re.compile(r"^[a-zA-Z0-9-]{1,128}$")
+
+
+def _validate_session_id(session_id: str) -> str:
+    if not _SESSION_ID_RE.fullmatch(session_id):
+        raise HTTPException(400, "Invalid session ID format")
+    return session_id
+
+
+def _research_storage_root() -> Path:
+    return Path(DEEP_RESEARCH_DIR).resolve()
+
+
+def _find_research_path(session_id: str) -> Path | None:
+    """Find a persisted research file without deriving its path from input."""
+    expected_name = f"{_validate_session_id(session_id)}.json"
+    root = _research_storage_root()
+    for stored_path in root.glob("*.json"):
+        if stored_path.name != expected_name:
+            continue
+        resolved = stored_path.resolve()
+        try:
+            resolved.relative_to(root)
+        except ValueError:
+            return None
+        if not resolved.is_file():
+            return None
+        return resolved
+    return None
+
+
+def _require_research_path(session_id: str) -> Path:
+    path = _find_research_path(session_id)
+    if path is None:
+        raise HTTPException(404, "Research not found")
+    return path
+
+
+def _find_owned_research_path(session_id: str, user: str) -> Path | None:
+    path = _find_research_path(session_id)
+    if path is None:
+        return None
+    try:
+        owner = json.loads(path.read_text(encoding="utf-8")).get("owner")
+    except Exception:
+        return None
+    if owner != user:
+        return None
+    return path
+
+
+logger = logging.getLogger(__name__)
+
+# Model-name substrings that are NOT chat/generation models — research must
+# never pick these as its model. An OpenAI-style endpoint often lists
+# `text-embedding-ada-002` etc. first in its model list, which is why research
+# was failing with "Cannot reach model 'text-embedding-ada-002'".
+_NON_CHAT_MODEL = (
+    "text-embedding", "embedding", "tts-", "whisper", "dall-e",
+    "moderation", "rerank", "reranker", "clip", "stable-diffusion",
+)
+
+_RESEARCH_IMAGE_BLOCKLIST = {
+    "cdn.shopify.com/s/files/1/0179/4388/7926/files/icon.png",
+}
+
+
+def _is_research_icon_or_logo_url(url: str) -> bool:
+    path = url.lower().split("?")[0]
+    return any(token in path for token in (
+        "/logo", "logo_", "-logo", "favicon", "apple-touch-icon",
+        "sprite", "icon-", "_icon", "/icons/", "badge",
+    ))
+
+
+def _research_thumbnail(data: dict) -> str:
+    """Pick the same first visible image the visual report uses as hero."""
+    hidden = set(data.get("hidden_images") or [])
+    seen = set()
+
+    def usable(image: str) -> bool:
+        image = str(image or "").strip()
+        if not image or image in seen or image in hidden:
+            return False
+        if not image.startswith("https://"):
+            return False
+        if image.endswith((".svg", ".ico", ".gif")):
+            return False
+        if any(blocked in image for blocked in _RESEARCH_IMAGE_BLOCKLIST):
+            return False
+        if _is_research_icon_or_logo_url(image):
+            return False
+        return True
+
+    for source in data.get("sources") or []:
+        if not isinstance(source, dict):
+            continue
+        image = str(source.get("image") or source.get("og_image") or "").strip()
+        if usable(image):
+            seen.add(image)
+            return image
+    for finding in data.get("raw_findings") or data.get("findings") or []:
+        if not isinstance(finding, dict):
+            continue
+        image = str(finding.get("image") or finding.get("og_image") or "").strip()
+        if usable(image):
+            seen.add(image)
+            return image
+    return ""
+
+
+def _first_chat_model(models) -> str:
+    """First model that isn't an embedding/tts/etc. — falls back to models[0]."""
+    for m in (models or []):
+        if not any(p in str(m).lower() for p in _NON_CHAT_MODEL):
+            return m
+    return (models[0] if models else "")
+
+
+def _resolve_research_endpoint(sess, owner: Optional[str] = None) -> tuple:
+    """Return (endpoint_url, model, headers) for Deep Research, checking admin overrides."""
+    owner = owner or getattr(sess, "owner", None) or None
+    url, model, headers = resolve_endpoint(
+        "research",
+        fallback_url=sess.endpoint_url,
+        fallback_model=sess.model,
+        fallback_headers=sess.headers,
+        owner=owner,
+    )
+    return url, model, headers
+
+
+def _owned_enabled_endpoint(db, owner, endpoint_id=None):
+    """An enabled ModelEndpoint VISIBLE to `owner` (their own rows + legacy
+    null-owner "shared" rows), optionally narrowed to a specific endpoint_id;
+    None if nothing visible matches.
+
+    Owner-scoped on purpose. ModelEndpoint is per-user (core/database.py: non-null
+    owner = private, "the model picker only shows the endpoint to that user") and
+    holds a decrypted `api_key`. /api/research/start feeds the resolved row's
+    api_key + base_url into research_handler.start_research(llm_endpoint=,
+    llm_headers=), so an UNSCOPED lookup — by the caller-supplied endpoint_id, or
+    via the bare first-enabled fallback — would let a research-privileged user
+    spend ANOTHER user's API key/quota and reach whatever internal base_url they
+    configured. Mirrors webhook_routes._first_enabled_endpoint and
+    session_routes._owned_endpoint. A null/empty owner is a no-op (single-user /
+    legacy mode).
+    """
+    from src.database import ModelEndpoint
+    from src.auth_helpers import owner_filter
+    q = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True)  # noqa: E712
+    if endpoint_id:
+        q = q.filter(ModelEndpoint.id == endpoint_id)
+    return owner_filter(q, ModelEndpoint, owner).first()
+
+
+def _resolve_endpoint_runtime(ep, owner=None, model: Optional[str] = None):
+    """Resolve a ModelEndpoint row into (chat_url, model, headers).
+
+    Mirrors endpoint_resolver.resolve_endpoint's provider-auth handling for
+    panel-selected research endpoints. ChatGPT Subscription endpoints keep
+    OAuth tokens in ProviderAuthSession, so ep.api_key is intentionally empty.
+    """
+    from src.endpoint_resolver import (
+        build_chat_url,
+        build_headers,
+        resolve_endpoint_runtime as resolve_model_endpoint_runtime,
+    )
+
+    try:
+        base, api_key = resolve_model_endpoint_runtime(ep, owner=owner)
+    except Exception as e:
+        logger.warning("Could not resolve endpoint credentials for research: %s", e)
+        return None
+
+    ep_model = (model or "").strip()
+    if not ep_model:
+        try:
+            models = json.loads(ep.cached_models) if ep.cached_models else []
+            if models:
+                ep_model = _first_chat_model(models)
+        except Exception:
+            pass
+    if not ep_model:
+        return None
+    return build_chat_url(base), ep_model, build_headers(api_key, base)
+
+
+def setup_research_routes(research_handler, session_manager=None) -> APIRouter:
+    router = APIRouter(tags=["research"])
+
+    def _require_user(request: Request) -> str:
+        """All research endpoints require an authenticated user. Research
+        data isn't owner-scoped in the on-disk JSON yet, so we at least
+        block anonymous access. Multi-tenant deploys should additionally
+        verify the session belongs to this user."""
+        user = get_current_user(request)
+        if not user:
+            if _auth_disabled():
+                return ""
+            raise HTTPException(401, "Not authenticated")
+        return user
+
+    def _owns_in_memory(session_id: str, user: str) -> bool:
+        """Ownership check for an in-flight (in-memory) research task.
+        Falls back to the on-disk JSON if the task has already finished."""
+        entry = research_handler._active_tasks.get(session_id)
+        if entry is not None:
+            return entry.get("owner", "") == user
+        # Task no longer in memory — check the persisted JSON.
+        try:
+            return _find_owned_research_path(session_id, user) is not None
+        except HTTPException:
+            return False
+
+    def _require_owned_or_active_research_path(session_id: str, user: str) -> Path | None:
+        """Validate ownership once and return the completed on-disk path.
+
+        Active running research has no completed disk path yet. Completed
+        tasks can remain in _active_tasks after persistence, so prefer their
+        owned disk path when available. Completed disk lookups still reuse the
+        path after the ownership gate.
+        """
+        entry = research_handler._active_tasks.get(session_id)
+        if entry is not None:
+            if entry.get("owner", "") != user:
+                raise HTTPException(404, "No research found for this session")
+            if entry.get("status") != "running":
+                path = _find_owned_research_path(session_id, user)
+                if path is not None:
+                    return path
+            return None
+
+        path = _find_owned_research_path(session_id, user)
+        if path is None:
+            raise HTTPException(404, "No research found for this session")
+        return path
+
+    @router.get("/api/research/active")
+    async def research_active(request: Request):
+        """List all currently active (running) research tasks."""
+        user = _require_user(request)
+        active = []
+        for sid, entry in research_handler._active_tasks.items():
+            # SECURITY: only show this user's running tasks.
+            if entry.get("owner", "") != user:
+                continue
+            if entry.get("status") == "running":
+                active.append({
+                    "session_id": sid,
+                    "query": entry.get("query", ""),
+                    "status": "running",
+                    "progress": entry.get("progress", {}),
+                    "started_at": entry.get("started_at", 0),
+                })
+        return {"active": active}
+
+    @router.get("/api/research/status/{session_id}")
+    async def research_status(session_id: str, request: Request):
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        if not _owns_in_memory(session_id, user):
+            raise HTTPException(404, "No research found for this session")
+        status = research_handler.get_status(session_id)
+        if status is None:
+            raise HTTPException(404, "No research found for this session")
+        return status
+
+    @router.post("/api/research/cancel/{session_id}")
+    async def research_cancel(session_id: str, request: Request):
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        if not _owns_in_memory(session_id, user):
+            raise HTTPException(404, "No research found for this session")
+        cancelled = research_handler.cancel_research(session_id)
+        return {"cancelled": cancelled}
+
+    @router.post("/api/research/result/{session_id}")
+    async def research_result(session_id: str, request: Request):
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        if not _owns_in_memory(session_id, user):
+            raise HTTPException(404, "No research result available")
+        result = research_handler.get_result(session_id)
+        if result is None:
+            raise HTTPException(404, "No research result available")
+        sources = research_handler.get_sources(session_id) or []
+        raw_findings = research_handler.get_raw_findings(session_id) or []
+        research_handler.clear_result(session_id)
+        return {"result": result, "sources": sources, "raw_findings": raw_findings}
+
+    def _assert_owns_research(session_id: str, user: str) -> None:
+        """404-not-403 ownership gate for a research session's on-disk JSON.
+        Use BEFORE returning any data or mutating the file."""
+        path = _require_research_path(session_id)
+        try:
+            owner = json.loads(path.read_text(encoding="utf-8")).get("owner")
+        except Exception:
+            raise HTTPException(404, "Research not found")
+        if owner != user:
+            raise HTTPException(404, "Research not found")
+
+    @router.get("/api/research/report/{session_id}")
+    async def research_report(session_id: str, request: Request):
+        """Serve the visual HTML report for a completed research session."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        _assert_owns_research(session_id, user)
+        logger.info(f"Visual report requested for session {session_id}")
+        try:
+            html_content = research_handler.get_report_html(session_id)
+        except Exception as e:
+            logger.error(f"Visual report generation error: {e}", exc_info=True)
+            raise HTTPException(500, f"Report generation failed: {e}")
+        if html_content is None:
+            logger.warning(f"No report data found for session {session_id}")
+            raise HTTPException(404, "No visual report available for this session")
+        return HTMLResponse(content=html_content)
+
+    class HideImageRequest(BaseModel):
+        url: str
+
+    @router.post("/api/research/{session_id}/hide-image")
+    async def research_hide_image(session_id: str, body: HideImageRequest, request: Request):
+        """Mark an image URL as hidden for this research's visual report.
+        Persisted to the research JSON so subsequent /report renders skip it."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        _assert_owns_research(session_id, user)
+        ok = research_handler.hide_image(session_id, body.url)
+        if not ok:
+            raise HTTPException(404, "Research not found")
+        return {"ok": True}
+
+    @router.post("/api/research/{session_id}/unhide-images")
+    async def research_unhide_images(session_id: str, request: Request):
+        """Clear the hidden-images list for a research session."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        _assert_owns_research(session_id, user)
+        ok = research_handler.unhide_all_images(session_id)
+        if not ok:
+            raise HTTPException(404, "Research not found")
+        return {"ok": True}
+
+    @router.get("/api/research/library")
+    async def research_library(
+        request: Request,
+        search: Optional[str] = Query(None),
+        sort: str = Query("recent"),
+        limit: int = Query(50),
+        archived: bool = Query(False),
+    ):
+        user = _require_user(request)
+        """List all completed research for the Library panel."""
+        data_dir = Path(DEEP_RESEARCH_DIR)
+        items = []
+        for p in data_dir.glob("*.json"):
+            try:
+                d = json.loads(p.read_text(encoding="utf-8"))
+                # SECURITY: only show research belonging to this user. Legacy
+                # JSONs without an `owner` field are hidden — auth was the only
+                # gate before, so every user saw every other user's reports.
+                if d.get("owner") != user:
+                    continue
+                # Archived view shows ONLY archived reports; default hides them.
+                if bool(d.get("archived")) != archived:
+                    continue
+                query = d.get("query", "")
+                if search and search.lower() not in query.lower():
+                    continue
+                sources = d.get("sources", [])
+                items.append({
+                    "id": p.stem,
+                    "query": query,
+                    "category": d.get("category") or "",
+                    "source_count": len(sources),
+                    "status": d.get("status", "done"),
+                    "duration": d.get("stats", {}).get("Duration", ""),
+                    "rounds": d.get("stats", {}).get("Rounds", ""),
+                    "started_at": d.get("started_at", 0),
+                    "completed_at": d.get("completed_at", 0),
+                    "archived": bool(d.get("archived")),
+                    "thumbnail": _research_thumbnail(d),
+                })
+            except Exception:
+                continue
+
+        # Sort
+        if sort == "recent":
+            items.sort(key=lambda x: x["completed_at"] or 0, reverse=True)
+        elif sort == "oldest":
+            items.sort(key=lambda x: x["completed_at"] or 0)
+        elif sort == "most-messages":
+            items.sort(key=lambda x: x["source_count"], reverse=True)
+        elif sort == "alpha":
+            items.sort(key=lambda x: x["query"].lower())
+
+        return {"research": items[:limit], "total": len(items)}
+
+    @router.get("/api/research/detail/{session_id}")
+    async def research_detail(session_id: str, request: Request):
+        """Return the full JSON for a single research result — sources,
+        summary, stats — used by the Library preview panel."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        path = _require_research_path(session_id)
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except Exception as e:
+            raise HTTPException(500, f"Failed to read research: {e}")
+        # SECURITY: 404 (not 403) so we don't leak that the report exists.
+        if data.get("owner") != user:
+            raise HTTPException(404, "Research not found")
+        return data
+
+    @router.post("/api/research/{session_id}/archive")
+    async def research_archive(session_id: str, request: Request, archived: bool = Query(True)):
+        """Soft-archive / restore a research report (sets `archived` in its JSON)."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        path = _require_research_path(session_id)
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+            if data.get("owner") != user:
+                raise HTTPException(404, "Research not found")
+            data["archived"] = bool(archived)
+            path.write_text(json.dumps(data), encoding="utf-8")
+        except HTTPException:
+            raise
+        except Exception as e:
+            raise HTTPException(500, f"Failed to update research: {e}")
+        return {"ok": True, "id": session_id, "archived": bool(archived)}
+
+    @router.delete("/api/research/{session_id}")
+    async def research_delete(session_id: str, request: Request):
+        """Delete a research result from disk."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        json_path = _find_research_path(session_id)
+        deleted = False
+        if json_path is not None:
+            # SECURITY: verify ownership before letting the caller delete it.
+            try:
+                data = json.loads(json_path.read_text(encoding="utf-8"))
+                if data.get("owner") != user:
+                    raise HTTPException(404, "Research not found")
+            except HTTPException:
+                raise
+            except Exception:
+                raise HTTPException(404, "Research not found")
+            json_path.unlink()
+            deleted = True
+        return {"deleted": deleted}
+
+    # ------------------------------------------------------------------
+    # Panel endpoints — launch research without a chat session
+    # ------------------------------------------------------------------
+
+    class ResearchStartRequest(BaseModel):
+        query: str
+        # max_rounds=0 means "Auto" — let the AI decide when to stop, capped at 20.
+        max_rounds: int = Field(default=0, ge=0, le=20)
+        search_provider: Optional[str] = None
+        endpoint_id: Optional[str] = None
+        model: Optional[str] = None
+        max_time: int = Field(default=300, ge=60, le=1800)
+        extraction_timeout: Optional[int] = Field(default=None, ge=15, le=3600)
+        extraction_concurrency: Optional[int] = Field(default=None, ge=1, le=12)
+        category: Optional[str] = None
+
+    @router.post("/api/research/start")
+    async def research_start(body: ResearchStartRequest, request: Request):
+        """Launch a research job from the dedicated panel."""
+        from src.auth_helpers import require_privilege
+        user = require_privilege(request, "can_use_research")
+        if user == INTERNAL_TOOL_USER:
+            tool_owner = (request.headers.get("X-Odysseus-Owner") or "").strip()
+            if tool_owner and tool_owner not in RESERVED_USERNAMES:
+                auth_mgr = getattr(request.app.state, "auth_manager", None)
+                if auth_mgr is not None and getattr(auth_mgr, "is_configured", False):
+                    try:
+                        privs = auth_mgr.get_privileges(tool_owner) or {}
+                        if not privs.get("can_use_research", True):
+                            raise HTTPException(403, f"Your account is not allowed to can use research.")
+                    except HTTPException:
+                        raise
+                    except Exception:
+                        pass
+                user = tool_owner
+        session_id = f"rp-{uuid.uuid4().hex[:12]}"
+
+        if body.endpoint_id:
+            from src.database import SessionLocal
+            db = SessionLocal()
+            try:
+                # Owner-scoped: never resolve another user's private endpoint
+                # (and its decrypted api_key / internal base_url). A scoped miss
+                # reads as 404 so the endpoint's existence isn't revealed.
+                ep = _owned_enabled_endpoint(db, user, body.endpoint_id)
+                if not ep:
+                    raise HTTPException(404, "Endpoint not found or disabled")
+                resolved = _resolve_endpoint_runtime(ep, owner=user, model=body.model)
+                if not resolved:
+                    raise HTTPException(400, "Endpoint is not configured with a usable model.")
+                ep_url, ep_model, ep_headers = resolved
+            finally:
+                db.close()
+        else:
+            ep_url, ep_model, ep_headers = resolve_endpoint("research", owner=user)
+            if not ep_url:
+                ep_url, ep_model, ep_headers = resolve_endpoint("utility", owner=user)
+            # When neither research nor utility is configured, use the user's
+            # configured DEFAULT model (default_endpoint_id/default_model) rather
+            # than arbitrarily grabbing the first enabled endpoint's first model
+            # (which surfaced gpt-3.5). "Default" should mean the default model.
+            if not ep_url:
+                ep_url, ep_model, ep_headers = resolve_endpoint("default", owner=user)
+            if not ep_url:
+                ep_url, ep_model, ep_headers = resolve_endpoint("chat", owner=user)
+            if not ep_url:
+                from src.database import SessionLocal
+                db = SessionLocal()
+                try:
+                    # Owner-scoped first-enabled fallback: the caller's own rows
+                    # + legacy null-owner shared rows only — never borrow another
+                    # user's private endpoint/api_key. Same fix as the
+                    # /api/v1/chat fallback (webhook_routes._first_enabled_endpoint).
+                    ep = _owned_enabled_endpoint(db, user)
+                    if ep:
+                        resolved = _resolve_endpoint_runtime(ep, owner=user)
+                        if resolved:
+                            ep_url, ep_model, ep_headers = resolved
+                finally:
+                    db.close()
+            if not ep_url:
+                raise HTTPException(400, "No endpoints configured. Add one in Settings first.")
+            if body.model:
+                ep_model = body.model
+
+        # max_rounds=0 → "Auto", let AI decide; pass 20 as the safety cap.
+        effective_max_rounds = body.max_rounds if body.max_rounds > 0 else 20
+        research_handler.start_research(
+            session_id=session_id,
+            query=body.query,
+            llm_endpoint=ep_url,
+            llm_model=ep_model,
+            max_time=body.max_time,
+            llm_headers=ep_headers,
+            max_rounds=effective_max_rounds,
+            search_provider=body.search_provider or None,
+            category=body.category or None,
+            extraction_timeout=body.extraction_timeout,
+            extraction_concurrency=body.extraction_concurrency,
+            owner=user,
+        )
+        return {"session_id": session_id, "status": "running", "query": body.query}
+
+    @router.get("/api/research/stream/{session_id}")
+    async def research_stream(session_id: str, request: Request):
+        """SSE stream of research progress events."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        if not _owns_in_memory(session_id, user):
+            raise HTTPException(404, "No research found for this session")
+        async def _generate():
+            last_progress = None
+            while True:
+                status = research_handler.get_status(session_id)
+                if status is None:
+                    yield f"data: {json.dumps({'status': 'not_found'})}\n\n"
+                    return
+                st = status.get("status", "")
+                progress = status.get("progress", {})
+                if progress != last_progress:
+                    last_progress = progress
+                    yield f"data: {json.dumps({**progress, 'status': st})}\n\n"
+                if st != "running":
+                    final = {'status': st, 'final': True}
+                    task = research_handler._active_tasks.get(session_id, {})
+                    if st == "error" and task.get("result"):
+                        final['error'] = str(task["result"])[:500]
+                    yield f"data: {json.dumps(final)}\n\n"
+                    return
+                await asyncio.sleep(1.5)
+
+        return StreamingResponse(
+            _generate(),
+            media_type="text/event-stream",
+            headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
+        )
+
+    @router.post("/api/research/result-peek/{session_id}")
+    async def research_result_peek(session_id: str, request: Request):
+        """Get research result without clearing it (for panel use)."""
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        owned_disk_path = _require_owned_or_active_research_path(session_id, user)
+        result = research_handler.get_result(session_id)
+        if result is None:
+            p = owned_disk_path
+            if p is not None:
+                d = json.loads(p.read_text(encoding="utf-8"))
+                return {
+                    "result": d.get("result", ""),
+                    "sources": d.get("sources", []),
+                    "raw_findings": d.get("raw_findings", []),
+                    "category": d.get("category") or "",
+                }
+            raise HTTPException(404, "No research result available")
+        sources = research_handler.get_sources(session_id) or []
+        raw_findings = research_handler.get_raw_findings(session_id) or []
+        return {"result": result, "sources": sources, "raw_findings": raw_findings, "category": ""}
+
+    @router.post("/api/research/spinoff/{session_id}")
+    async def research_spinoff(session_id: str, request: Request):
+        """Create a new chat session pre-seeded with this research as context.
+
+        Reads the persisted research result + sources for `session_id`, creates
+        a fresh session (inheriting endpoint/model/headers from the source
+        session if available, otherwise from the resolved chat endpoint), and
+        injects a single system message containing the report and sources so
+        the user can ask follow-up questions in a clean conversation.
+        """
+        user = _require_user(request)
+        _validate_session_id(session_id)
+        # SECURITY: gate on ownership before reading the persisted research —
+        # otherwise any authenticated user could spin off (and thereby read)
+        # another user's report by guessing its session ID. Mirrors every other
+        # endpoint in this file (see result_peek above).
+        owned_disk_path = _require_owned_or_active_research_path(session_id, user)
+        if session_manager is None:
+            raise HTTPException(500, "session_manager not configured")
+
+        # Load research data — prefer in-memory result, fall back to disk
+        result = research_handler.get_result(session_id)
+        sources = research_handler.get_sources(session_id) or []
+        query = ""
+
+        path = owned_disk_path
+        if path is not None:
+            try:
+                disk = json.loads(path.read_text(encoding="utf-8"))
+                if not result:
+                    result = disk.get("result")
+                if not sources:
+                    sources = disk.get("sources", []) or []
+                query = disk.get("query", "") or ""
+            except Exception as e:
+                logger.warning(f"Could not read research JSON for spinoff: {e}")
+
+        if not result:
+            raise HTTPException(404, "No research result available for this session")
+
+        # Inherit endpoint/model/headers from the source session when possible.
+        # For panel-launched research (rp-* IDs), there is no chat session, so
+        # fall back through the same chain as /api/research/start: research →
+        # utility → first enabled endpoint in the DB.
+        ep_url, ep_model, ep_headers = "", "", {}
+        try:
+            src_sess = session_manager.get_session(session_id)
+            ep_url = src_sess.endpoint_url or ""
+            ep_model = src_sess.model or ""
+            ep_headers = dict(src_sess.headers or {})
+        except KeyError:
+            pass
+
+        def _merge(r_url, r_model, r_headers):
+            nonlocal ep_url, ep_model, ep_headers
+            if not ep_url and r_url:
+                ep_url = r_url
+            if not ep_model and r_model:
+                ep_model = r_model
+            if not ep_headers and r_headers:
+                ep_headers = dict(r_headers)
+
+        if not ep_url or not ep_model:
+            _merge(*resolve_endpoint("chat", owner=user))
+        if not ep_url or not ep_model:
+            _merge(*resolve_endpoint("research", owner=user))
+        if not ep_url or not ep_model:
+            _merge(*resolve_endpoint("utility", owner=user))
+        if not ep_url or not ep_model:
+            # Last resort: this user's enabled endpoint, plus legacy shared rows.
+            from src.database import SessionLocal
+            from src.endpoint_resolver import normalize_base, build_chat_url, build_headers
+            db = SessionLocal()
+            try:
+                ep = _owned_enabled_endpoint(db, user)
+                if ep:
+                    base = normalize_base(ep.base_url)
+                    fallback_url = build_chat_url(base)
+                    fallback_headers = build_headers(ep.api_key, base)
+                    fallback_model = ""
+                    if ep.cached_models:
+                        try:
+                            models = json.loads(ep.cached_models)
+                            if models:
+                                fallback_model = _first_chat_model(models)
+                        except Exception:
+                            pass
+                    _merge(fallback_url, fallback_model, fallback_headers)
+            finally:
+                db.close()
+
+        if not ep_url or not ep_model:
+            raise HTTPException(400, "No endpoint configured — add one in Settings first")
+
+        # Create new session
+        new_sid = str(uuid.uuid4())
+
+        title_query = (query or "research").strip()
+        if len(title_query) > 60:
+            title_query = title_query[:57] + "…"
+        new_name = f"Follow-up: {title_query}"
+
+        new_sess = session_manager.create_session(
+            session_id=new_sid,
+            name=new_name,
+            endpoint_url=ep_url,
+            model=ep_model,
+            rag=False,
+            owner=user,
+        )
+        if ep_headers:
+            new_sess.headers = ep_headers
+            session_manager.save_sessions()
+        try:
+            from src.event_bus import fire_event
+            fire_event("session_created", user)
+        except Exception:
+            logger.debug("session_created event dispatch failed", exc_info=True)
+
+        # Build the priming system message — report only, no sources injected.
+        # The user can open the visual report for source details; keeping sources
+        # out of the chat context saves tokens and avoids the AI fabricating
+        # citations.
+        date_str = datetime.utcnow().strftime("%Y-%m-%d")
+        primer = (
+            f"[Research context — {date_str}]\n\n"
+            f"The user previously ran a deep research investigation. Use the "
+            f"report below as your primary knowledge base when answering "
+            f"follow-up questions. If the user asks something not covered, "
+            f"say so plainly rather than guessing.\n\n"
+            f"=== ORIGINAL QUERY ===\n{query or '(not recorded)'}\n\n"
+            f"=== REPORT ===\n{result}"
+        )
+
+        from core.models import ChatMessage
+        new_sess.add_message(ChatMessage(
+            role="system",
+            content=primer,
+            metadata={"research_spinoff_from": session_id},
+        ))
+        session_manager.save_sessions()
+
+        return {
+            "session_id": new_sid,
+            "name": new_name,
+            "source_count": len(sources),
+        }
+
+    return router

routes/research_routes.py

@@ -1,678 +1,17 @@
-"""Research background task routes — /api/research/*."""
+"""Backward-compat shim — canonical location is routes/research/research_routes.py.
 
-import asyncio
-import json
-import logging
-import re
-import uuid
-from datetime import datetime
-from pathlib import Path
-from typing import Optional
+This module is replaced in ``sys.modules`` by the canonical module object so
+that ``import routes.research_routes``, ``from routes.research_routes import X``,
+``importlib.import_module("routes.research_routes")``, and
+``monkeypatch.setattr("routes.research_routes.ATTR", ...)`` (string-targeted
+patch used by ``test_research_owner_scope_routes.py``) all operate on the
+*same* object the application actually uses. Keeps existing import paths
+working after slice 2b (#4082/#4071). Source-introspection tests read the
+canonical file by path.
+"""
 
-from fastapi import APIRouter, HTTPException, Query, Request
-from fastapi.responses import HTMLResponse, StreamingResponse
-from pydantic import BaseModel, Field
-from core.middleware import INTERNAL_TOOL_USER
-from src.endpoint_resolver import resolve_endpoint
-from src.auth_helpers import _auth_disabled, get_current_user
-from core.auth import RESERVED_USERNAMES
-from src.constants import DEEP_RESEARCH_DIR
+import sys as _sys
 
-_SESSION_ID_RE = re.compile(r"^[a-zA-Z0-9-]{1,128}$")
+from routes.research import research_routes as _canonical  # noqa: F401
 
-logger = logging.getLogger(__name__)
-
-# Model-name substrings that are NOT chat/generation models — research must
-# never pick these as its model. An OpenAI-style endpoint often lists
-# `text-embedding-ada-002` etc. first in its model list, which is why research
-# was failing with "Cannot reach model 'text-embedding-ada-002'".
-_NON_CHAT_MODEL = (
-    "text-embedding", "embedding", "tts-", "whisper", "dall-e",
-    "moderation", "rerank", "reranker", "clip", "stable-diffusion",
-)
-
-
-def _first_chat_model(models) -> str:
-    """First model that isn't an embedding/tts/etc. — falls back to models[0]."""
-    for m in (models or []):
-        if not any(p in str(m).lower() for p in _NON_CHAT_MODEL):
-            return m
-    return (models[0] if models else "")
-
-
-def _resolve_research_endpoint(sess, owner: Optional[str] = None) -> tuple:
-    """Return (endpoint_url, model, headers) for Deep Research, checking admin overrides."""
-    owner = owner or getattr(sess, "owner", None) or None
-    url, model, headers = resolve_endpoint(
-        "research",
-        fallback_url=sess.endpoint_url,
-        fallback_model=sess.model,
-        fallback_headers=sess.headers,
-        owner=owner,
-    )
-    return url, model, headers
-
-
-def _owned_enabled_endpoint(db, owner, endpoint_id=None):
-    """An enabled ModelEndpoint VISIBLE to `owner` (their own rows + legacy
-    null-owner "shared" rows), optionally narrowed to a specific endpoint_id;
-    None if nothing visible matches.
-
-    Owner-scoped on purpose. ModelEndpoint is per-user (core/database.py: non-null
-    owner = private, "the model picker only shows the endpoint to that user") and
-    holds a decrypted `api_key`. /api/research/start feeds the resolved row's
-    api_key + base_url into research_handler.start_research(llm_endpoint=,
-    llm_headers=), so an UNSCOPED lookup — by the caller-supplied endpoint_id, or
-    via the bare first-enabled fallback — would let a research-privileged user
-    spend ANOTHER user's API key/quota and reach whatever internal base_url they
-    configured. Mirrors webhook_routes._first_enabled_endpoint and
-    session_routes._owned_endpoint. A null/empty owner is a no-op (single-user /
-    legacy mode).
-    """
-    from src.database import ModelEndpoint
-    from src.auth_helpers import owner_filter
-    q = db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True)  # noqa: E712
-    if endpoint_id:
-        q = q.filter(ModelEndpoint.id == endpoint_id)
-    return owner_filter(q, ModelEndpoint, owner).first()
-
-
-def _resolve_endpoint_runtime(ep, owner=None, model: Optional[str] = None):
-    """Resolve a ModelEndpoint row into (chat_url, model, headers).
-
-    Mirrors endpoint_resolver.resolve_endpoint's provider-auth handling for
-    panel-selected research endpoints. ChatGPT Subscription endpoints keep
-    OAuth tokens in ProviderAuthSession, so ep.api_key is intentionally empty.
-    """
-    from src.endpoint_resolver import (
-        build_chat_url,
-        build_headers,
-        resolve_endpoint_runtime as resolve_model_endpoint_runtime,
-    )
-
-    try:
-        base, api_key = resolve_model_endpoint_runtime(ep, owner=owner)
-    except Exception as e:
-        logger.warning("Could not resolve endpoint credentials for research: %s", e)
-        return None
-
-    ep_model = (model or "").strip()
-    if not ep_model:
-        try:
-            models = json.loads(ep.cached_models) if ep.cached_models else []
-            if models:
-                ep_model = _first_chat_model(models)
-        except Exception:
-            pass
-    if not ep_model:
-        return None
-    return build_chat_url(base), ep_model, build_headers(api_key, base)
-
-
-def setup_research_routes(research_handler, session_manager=None) -> APIRouter:
-    router = APIRouter(tags=["research"])
-
-    def _require_user(request: Request) -> str:
-        """All research endpoints require an authenticated user. Research
-        data isn't owner-scoped in the on-disk JSON yet, so we at least
-        block anonymous access. Multi-tenant deploys should additionally
-        verify the session belongs to this user."""
-        user = get_current_user(request)
-        if not user:
-            if _auth_disabled():
-                return ""
-            raise HTTPException(401, "Not authenticated")
-        return user
-
-    def _validate_session_id(session_id: str) -> None:
-        if not _SESSION_ID_RE.fullmatch(session_id):
-            raise HTTPException(400, "Invalid session ID format")
-
-    def _owns_in_memory(session_id: str, user: str) -> bool:
-        """Ownership check for an in-flight (in-memory) research task.
-        Falls back to the on-disk JSON if the task has already finished."""
-        entry = research_handler._active_tasks.get(session_id)
-        if entry is not None:
-            return entry.get("owner", "") == user
-        # Task no longer in memory — check the persisted JSON.
-        path = Path(DEEP_RESEARCH_DIR) / f"{session_id}.json"
-        if not path.exists():
-            return False
-        try:
-            return json.loads(path.read_text(encoding="utf-8")).get("owner") == user
-        except Exception:
-            return False
-
-    @router.get("/api/research/active")
-    async def research_active(request: Request):
-        """List all currently active (running) research tasks."""
-        user = _require_user(request)
-        active = []
-        for sid, entry in research_handler._active_tasks.items():
-            # SECURITY: only show this user's running tasks.
-            if entry.get("owner", "") != user:
-                continue
-            if entry.get("status") == "running":
-                active.append({
-                    "session_id": sid,
-                    "query": entry.get("query", ""),
-                    "status": "running",
-                    "progress": entry.get("progress", {}),
-                    "started_at": entry.get("started_at", 0),
-                })
-        return {"active": active}
-
-    @router.get("/api/research/status/{session_id}")
-    async def research_status(session_id: str, request: Request):
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        if not _owns_in_memory(session_id, user):
-            raise HTTPException(404, "No research found for this session")
-        status = research_handler.get_status(session_id)
-        if status is None:
-            raise HTTPException(404, "No research found for this session")
-        return status
-
-    @router.post("/api/research/cancel/{session_id}")
-    async def research_cancel(session_id: str, request: Request):
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        if not _owns_in_memory(session_id, user):
-            raise HTTPException(404, "No research found for this session")
-        cancelled = research_handler.cancel_research(session_id)
-        return {"cancelled": cancelled}
-
-    @router.post("/api/research/result/{session_id}")
-    async def research_result(session_id: str, request: Request):
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        if not _owns_in_memory(session_id, user):
-            raise HTTPException(404, "No research result available")
-        result = research_handler.get_result(session_id)
-        if result is None:
-            raise HTTPException(404, "No research result available")
-        sources = research_handler.get_sources(session_id) or []
-        raw_findings = research_handler.get_raw_findings(session_id) or []
-        research_handler.clear_result(session_id)
-        return {"result": result, "sources": sources, "raw_findings": raw_findings}
-
-    def _assert_owns_research(session_id: str, user: str) -> None:
-        """404-not-403 ownership gate for a research session's on-disk JSON.
-        Use BEFORE returning any data or mutating the file."""
-        path = Path(DEEP_RESEARCH_DIR) / f"{session_id}.json"
-        if not path.exists():
-            raise HTTPException(404, "Research not found")
-        try:
-            owner = json.loads(path.read_text(encoding="utf-8")).get("owner")
-        except Exception:
-            raise HTTPException(404, "Research not found")
-        if owner != user:
-            raise HTTPException(404, "Research not found")
-
-    @router.get("/api/research/report/{session_id}")
-    async def research_report(session_id: str, request: Request):
-        """Serve the visual HTML report for a completed research session."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        _assert_owns_research(session_id, user)
-        logger.info(f"Visual report requested for session {session_id}")
-        try:
-            html_content = research_handler.get_report_html(session_id)
-        except Exception as e:
-            logger.error(f"Visual report generation error: {e}", exc_info=True)
-            raise HTTPException(500, f"Report generation failed: {e}")
-        if html_content is None:
-            logger.warning(f"No report data found for session {session_id}")
-            raise HTTPException(404, "No visual report available for this session")
-        return HTMLResponse(content=html_content)
-
-    class HideImageRequest(BaseModel):
-        url: str
-
-    @router.post("/api/research/{session_id}/hide-image")
-    async def research_hide_image(session_id: str, body: HideImageRequest, request: Request):
-        """Mark an image URL as hidden for this research's visual report.
-        Persisted to the research JSON so subsequent /report renders skip it."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        _assert_owns_research(session_id, user)
-        ok = research_handler.hide_image(session_id, body.url)
-        if not ok:
-            raise HTTPException(404, "Research not found")
-        return {"ok": True}
-
-    @router.post("/api/research/{session_id}/unhide-images")
-    async def research_unhide_images(session_id: str, request: Request):
-        """Clear the hidden-images list for a research session."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        _assert_owns_research(session_id, user)
-        ok = research_handler.unhide_all_images(session_id)
-        if not ok:
-            raise HTTPException(404, "Research not found")
-        return {"ok": True}
-
-    @router.get("/api/research/library")
-    async def research_library(
-        request: Request,
-        search: Optional[str] = Query(None),
-        sort: str = Query("recent"),
-        limit: int = Query(50),
-        archived: bool = Query(False),
-    ):
-        user = _require_user(request)
-        """List all completed research for the Library panel."""
-        data_dir = Path(DEEP_RESEARCH_DIR)
-        items = []
-        for p in data_dir.glob("*.json"):
-            try:
-                d = json.loads(p.read_text(encoding="utf-8"))
-                # SECURITY: only show research belonging to this user. Legacy
-                # JSONs without an `owner` field are hidden — auth was the only
-                # gate before, so every user saw every other user's reports.
-                if d.get("owner") != user:
-                    continue
-                # Archived view shows ONLY archived reports; default hides them.
-                if bool(d.get("archived")) != archived:
-                    continue
-                query = d.get("query", "")
-                if search and search.lower() not in query.lower():
-                    continue
-                sources = d.get("sources", [])
-                items.append({
-                    "id": p.stem,
-                    "query": query,
-                    "category": d.get("category") or "",
-                    "source_count": len(sources),
-                    "status": d.get("status", "done"),
-                    "duration": d.get("stats", {}).get("Duration", ""),
-                    "rounds": d.get("stats", {}).get("Rounds", ""),
-                    "started_at": d.get("started_at", 0),
-                    "completed_at": d.get("completed_at", 0),
-                    "archived": bool(d.get("archived")),
-                })
-            except Exception:
-                continue
-
-        # Sort
-        if sort == "recent":
-            items.sort(key=lambda x: x["completed_at"] or 0, reverse=True)
-        elif sort == "oldest":
-            items.sort(key=lambda x: x["completed_at"] or 0)
-        elif sort == "most-messages":
-            items.sort(key=lambda x: x["source_count"], reverse=True)
-        elif sort == "alpha":
-            items.sort(key=lambda x: x["query"].lower())
-
-        return {"research": items[:limit], "total": len(items)}
-
-    @router.get("/api/research/detail/{session_id}")
-    async def research_detail(session_id: str, request: Request):
-        """Return the full JSON for a single research result — sources,
-        summary, stats — used by the Library preview panel."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        path = Path(DEEP_RESEARCH_DIR) / f"{session_id}.json"
-        if not path.exists():
-            raise HTTPException(404, "Research not found")
-        try:
-            data = json.loads(path.read_text(encoding="utf-8"))
-        except Exception as e:
-            raise HTTPException(500, f"Failed to read research: {e}")
-        # SECURITY: 404 (not 403) so we don't leak that the report exists.
-        if data.get("owner") != user:
-            raise HTTPException(404, "Research not found")
-        return data
-
-    @router.post("/api/research/{session_id}/archive")
-    async def research_archive(session_id: str, request: Request, archived: bool = Query(True)):
-        """Soft-archive / restore a research report (sets `archived` in its JSON)."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        path = Path(DEEP_RESEARCH_DIR) / f"{session_id}.json"
-        if not path.exists():
-            raise HTTPException(404, "Research not found")
-        try:
-            data = json.loads(path.read_text(encoding="utf-8"))
-            if data.get("owner") != user:
-                raise HTTPException(404, "Research not found")
-            data["archived"] = bool(archived)
-            path.write_text(json.dumps(data), encoding="utf-8")
-        except HTTPException:
-            raise
-        except Exception as e:
-            raise HTTPException(500, f"Failed to update research: {e}")
-        return {"ok": True, "id": session_id, "archived": bool(archived)}
-
-    @router.delete("/api/research/{session_id}")
-    async def research_delete(session_id: str, request: Request):
-        """Delete a research result from disk."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        data_dir = Path(DEEP_RESEARCH_DIR)
-        json_path = data_dir / f"{session_id}.json"
-        deleted = False
-        if json_path.exists():
-            # SECURITY: verify ownership before letting the caller delete it.
-            try:
-                data = json.loads(json_path.read_text(encoding="utf-8"))
-                if data.get("owner") != user:
-                    raise HTTPException(404, "Research not found")
-            except HTTPException:
-                raise
-            except Exception:
-                raise HTTPException(404, "Research not found")
-            json_path.unlink()
-            deleted = True
-        return {"deleted": deleted}
-
-    # ------------------------------------------------------------------
-    # Panel endpoints — launch research without a chat session
-    # ------------------------------------------------------------------
-
-    class ResearchStartRequest(BaseModel):
-        query: str
-        # max_rounds=0 means "Auto" — let the AI decide when to stop, capped at 20.
-        max_rounds: int = Field(default=0, ge=0, le=20)
-        search_provider: Optional[str] = None
-        endpoint_id: Optional[str] = None
-        model: Optional[str] = None
-        max_time: int = Field(default=300, ge=60, le=1800)
-        extraction_timeout: Optional[int] = Field(default=None, ge=15, le=3600)
-        extraction_concurrency: Optional[int] = Field(default=None, ge=1, le=12)
-        category: Optional[str] = None
-
-    @router.post("/api/research/start")
-    async def research_start(body: ResearchStartRequest, request: Request):
-        """Launch a research job from the dedicated panel."""
-        from src.auth_helpers import require_privilege
-        user = require_privilege(request, "can_use_research")
-        if user == INTERNAL_TOOL_USER:
-            tool_owner = (request.headers.get("X-Odysseus-Owner") or "").strip()
-            if tool_owner and tool_owner not in RESERVED_USERNAMES:
-                auth_mgr = getattr(request.app.state, "auth_manager", None)
-                if auth_mgr is not None and getattr(auth_mgr, "is_configured", False):
-                    try:
-                        privs = auth_mgr.get_privileges(tool_owner) or {}
-                        if not privs.get("can_use_research", True):
-                            raise HTTPException(403, f"Your account is not allowed to can use research.")
-                    except HTTPException:
-                        raise
-                    except Exception:
-                        pass
-                user = tool_owner
-        session_id = f"rp-{uuid.uuid4().hex[:12]}"
-
-        if body.endpoint_id:
-            from src.database import SessionLocal
-            db = SessionLocal()
-            try:
-                # Owner-scoped: never resolve another user's private endpoint
-                # (and its decrypted api_key / internal base_url). A scoped miss
-                # reads as 404 so the endpoint's existence isn't revealed.
-                ep = _owned_enabled_endpoint(db, user, body.endpoint_id)
-                if not ep:
-                    raise HTTPException(404, "Endpoint not found or disabled")
-                resolved = _resolve_endpoint_runtime(ep, owner=user, model=body.model)
-                if not resolved:
-                    raise HTTPException(400, "Endpoint is not configured with a usable model.")
-                ep_url, ep_model, ep_headers = resolved
-            finally:
-                db.close()
-        else:
-            ep_url, ep_model, ep_headers = resolve_endpoint("research", owner=user)
-            if not ep_url:
-                ep_url, ep_model, ep_headers = resolve_endpoint("utility", owner=user)
-            # When neither research nor utility is configured, use the user's
-            # configured DEFAULT model (default_endpoint_id/default_model) rather
-            # than arbitrarily grabbing the first enabled endpoint's first model
-            # (which surfaced gpt-3.5). "Default" should mean the default model.
-            if not ep_url:
-                ep_url, ep_model, ep_headers = resolve_endpoint("default", owner=user)
-            if not ep_url:
-                ep_url, ep_model, ep_headers = resolve_endpoint("chat", owner=user)
-            if not ep_url:
-                from src.database import SessionLocal
-                db = SessionLocal()
-                try:
-                    # Owner-scoped first-enabled fallback: the caller's own rows
-                    # + legacy null-owner shared rows only — never borrow another
-                    # user's private endpoint/api_key. Same fix as the
-                    # /api/v1/chat fallback (webhook_routes._first_enabled_endpoint).
-                    ep = _owned_enabled_endpoint(db, user)
-                    if ep:
-                        resolved = _resolve_endpoint_runtime(ep, owner=user)
-                        if resolved:
-                            ep_url, ep_model, ep_headers = resolved
-                finally:
-                    db.close()
-            if not ep_url:
-                raise HTTPException(400, "No endpoints configured. Add one in Settings first.")
-            if body.model:
-                ep_model = body.model
-
-        # max_rounds=0 → "Auto", let AI decide; pass 20 as the safety cap.
-        effective_max_rounds = body.max_rounds if body.max_rounds > 0 else 20
-        research_handler.start_research(
-            session_id=session_id,
-            query=body.query,
-            llm_endpoint=ep_url,
-            llm_model=ep_model,
-            max_time=body.max_time,
-            llm_headers=ep_headers,
-            max_rounds=effective_max_rounds,
-            search_provider=body.search_provider or None,
-            category=body.category or None,
-            extraction_timeout=body.extraction_timeout,
-            extraction_concurrency=body.extraction_concurrency,
-            owner=user,
-        )
-        return {"session_id": session_id, "status": "running", "query": body.query}
-
-    @router.get("/api/research/stream/{session_id}")
-    async def research_stream(session_id: str, request: Request):
-        """SSE stream of research progress events."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        if not _owns_in_memory(session_id, user):
-            raise HTTPException(404, "No research found for this session")
-        async def _generate():
-            last_progress = None
-            while True:
-                status = research_handler.get_status(session_id)
-                if status is None:
-                    yield f"data: {json.dumps({'status': 'not_found'})}\n\n"
-                    return
-                st = status.get("status", "")
-                progress = status.get("progress", {})
-                if progress != last_progress:
-                    last_progress = progress
-                    yield f"data: {json.dumps({**progress, 'status': st})}\n\n"
-                if st != "running":
-                    final = {'status': st, 'final': True}
-                    task = research_handler._active_tasks.get(session_id, {})
-                    if st == "error" and task.get("result"):
-                        final['error'] = str(task["result"])[:500]
-                    yield f"data: {json.dumps(final)}\n\n"
-                    return
-                await asyncio.sleep(1.5)
-
-        return StreamingResponse(
-            _generate(),
-            media_type="text/event-stream",
-            headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
-        )
-
-    @router.post("/api/research/result-peek/{session_id}")
-    async def research_result_peek(session_id: str, request: Request):
-        """Get research result without clearing it (for panel use)."""
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        if not _owns_in_memory(session_id, user):
-            raise HTTPException(404, "No research found for this session")
-        result = research_handler.get_result(session_id)
-        if result is None:
-            p = Path(DEEP_RESEARCH_DIR) / f"{session_id}.json"
-            if p.exists():
-                d = json.loads(p.read_text(encoding="utf-8"))
-                return {
-                    "result": d.get("result", ""),
-                    "sources": d.get("sources", []),
-                    "raw_findings": d.get("raw_findings", []),
-                    "category": d.get("category") or "",
-                }
-            raise HTTPException(404, "No research result available")
-        sources = research_handler.get_sources(session_id) or []
-        raw_findings = research_handler.get_raw_findings(session_id) or []
-        return {"result": result, "sources": sources, "raw_findings": raw_findings, "category": ""}
-
-    @router.post("/api/research/spinoff/{session_id}")
-    async def research_spinoff(session_id: str, request: Request):
-        """Create a new chat session pre-seeded with this research as context.
-
-        Reads the persisted research result + sources for `session_id`, creates
-        a fresh session (inheriting endpoint/model/headers from the source
-        session if available, otherwise from the resolved chat endpoint), and
-        injects a single system message containing the report and sources so
-        the user can ask follow-up questions in a clean conversation.
-        """
-        user = _require_user(request)
-        _validate_session_id(session_id)
-        # SECURITY: gate on ownership before reading the persisted research —
-        # otherwise any authenticated user could spin off (and thereby read)
-        # another user's report by guessing its session ID. Mirrors every other
-        # endpoint in this file (see result_peek above).
-        if not _owns_in_memory(session_id, user):
-            raise HTTPException(404, "No research found for this session")
-        if session_manager is None:
-            raise HTTPException(500, "session_manager not configured")
-
-        # Load research data — prefer in-memory result, fall back to disk
-        result = research_handler.get_result(session_id)
-        sources = research_handler.get_sources(session_id) or []
-        query = ""
-
-        path = Path(DEEP_RESEARCH_DIR) / f"{session_id}.json"
-        if path.exists():
-            try:
-                disk = json.loads(path.read_text(encoding="utf-8"))
-                if not result:
-                    result = disk.get("result")
-                if not sources:
-                    sources = disk.get("sources", []) or []
-                query = disk.get("query", "") or ""
-            except Exception as e:
-                logger.warning(f"Could not read research JSON for spinoff: {e}")
-
-        if not result:
-            raise HTTPException(404, "No research result available for this session")
-
-        # Inherit endpoint/model/headers from the source session when possible.
-        # For panel-launched research (rp-* IDs), there is no chat session, so
-        # fall back through the same chain as /api/research/start: research →
-        # utility → first enabled endpoint in the DB.
-        ep_url, ep_model, ep_headers = "", "", {}
-        try:
-            src_sess = session_manager.get_session(session_id)
-            ep_url = src_sess.endpoint_url or ""
-            ep_model = src_sess.model or ""
-            ep_headers = dict(src_sess.headers or {})
-        except KeyError:
-            pass
-
-        def _merge(r_url, r_model, r_headers):
-            nonlocal ep_url, ep_model, ep_headers
-            if not ep_url and r_url:
-                ep_url = r_url
-            if not ep_model and r_model:
-                ep_model = r_model
-            if not ep_headers and r_headers:
-                ep_headers = dict(r_headers)
-
-        if not ep_url or not ep_model:
-            _merge(*resolve_endpoint("chat", owner=user))
-        if not ep_url or not ep_model:
-            _merge(*resolve_endpoint("research", owner=user))
-        if not ep_url or not ep_model:
-            _merge(*resolve_endpoint("utility", owner=user))
-        if not ep_url or not ep_model:
-            # Last resort: this user's enabled endpoint, plus legacy shared rows.
-            from src.database import SessionLocal
-            from src.endpoint_resolver import normalize_base, build_chat_url, build_headers
-            db = SessionLocal()
-            try:
-                ep = _owned_enabled_endpoint(db, user)
-                if ep:
-                    base = normalize_base(ep.base_url)
-                    fallback_url = build_chat_url(base)
-                    fallback_headers = build_headers(ep.api_key, base)
-                    fallback_model = ""
-                    if ep.cached_models:
-                        try:
-                            models = json.loads(ep.cached_models)
-                            if models:
-                                fallback_model = _first_chat_model(models)
-                        except Exception:
-                            pass
-                    _merge(fallback_url, fallback_model, fallback_headers)
-            finally:
-                db.close()
-
-        if not ep_url or not ep_model:
-            raise HTTPException(400, "No endpoint configured — add one in Settings first")
-
-        # Create new session
-        new_sid = str(uuid.uuid4())
-
-        title_query = (query or "research").strip()
-        if len(title_query) > 60:
-            title_query = title_query[:57] + "…"
-        new_name = f"Follow-up: {title_query}"
-
-        new_sess = session_manager.create_session(
-            session_id=new_sid,
-            name=new_name,
-            endpoint_url=ep_url,
-            model=ep_model,
-            rag=False,
-            owner=user,
-        )
-        if ep_headers:
-            new_sess.headers = ep_headers
-            session_manager.save_sessions()
-        try:
-            from src.event_bus import fire_event
-            fire_event("session_created", user)
-        except Exception:
-            logger.debug("session_created event dispatch failed", exc_info=True)
-
-        # Build the priming system message — report only, no sources injected.
-        # The user can open the visual report for source details; keeping sources
-        # out of the chat context saves tokens and avoids the AI fabricating
-        # citations.
-        date_str = datetime.utcnow().strftime("%Y-%m-%d")
-        primer = (
-            f"[Research context — {date_str}]\n\n"
-            f"The user previously ran a deep research investigation. Use the "
-            f"report below as your primary knowledge base when answering "
-            f"follow-up questions. If the user asks something not covered, "
-            f"say so plainly rather than guessing.\n\n"
-            f"=== ORIGINAL QUERY ===\n{query or '(not recorded)'}\n\n"
-            f"=== REPORT ===\n{result}"
-        )
-
-        from core.models import ChatMessage
-        new_sess.add_message(ChatMessage(
-            role="system",
-            content=primer,
-            metadata={"research_spinoff_from": session_id},
-        ))
-        session_manager.save_sessions()
-
-        return {
-            "session_id": new_sid,
-            "name": new_name,
-            "source_count": len(sources),
-        }
-
-    return router
+_sys.modules[__name__] = _canonical

routes/session_routes.py

@@ -162,7 +162,7 @@ def _persist_session_headers(session_id: str, headers: dict | None) -> None:
         db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
         if db_session:
             db_session.headers = headers or {}
-            db_session.updated_at = datetime.utcnow()
+            db_session.updated_at = utcnow_naive()
             db.commit()
     except Exception:
         db.rollback()
@@ -207,6 +207,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
     """Setup session routes with the provided manager and config"""
 
     REQUEST_TIMEOUT = config.get("REQUEST_TIMEOUT", 20)
+    SESSION_MODEL_VALIDATION_TIMEOUT = min(float(REQUEST_TIMEOUT or 20), 3.0)
     OPENAI_API_KEY = config.get("OPENAI_API_KEY")
     SESSIONS_FILE = config.get("SESSIONS_FILE")
     
@@ -223,8 +224,8 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
         # purge exists only to catch ghosts the frontend missed (tab close,
         # crash). Only clean up rows old enough to be definitely orphaned.
         try:
-            from datetime import datetime as _dt, timedelta as _td
-            _cutoff = _dt.utcnow() - _td(minutes=10)
+            from datetime import timedelta as _td
+            _cutoff = utcnow_naive() - _td(minutes=10)
             _purge_db = SessionLocal()
             try:
                 from core.database import ChatMessage as _DbMsg
@@ -374,7 +375,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
             from src.llm_core import list_model_ids
             ids = list_model_ids(
                 endpoint_url,
-                timeout=REQUEST_TIMEOUT,
+                timeout=SESSION_MODEL_VALIDATION_TIMEOUT,
                 headers=validation_headers,
                 owner=user,
                 endpoint_id=endpoint_id.strip() if endpoint_id else None,
@@ -394,7 +395,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
             req_base = _os.path.basename(model_to_use.rstrip("/"))
             avail = list_model_ids(
                 endpoint_url,
-                timeout=REQUEST_TIMEOUT,
+                timeout=SESSION_MODEL_VALIDATION_TIMEOUT,
                 headers=validation_headers,
                 owner=user,
                 endpoint_id=endpoint_id.strip() if endpoint_id else None,
@@ -470,7 +471,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
                 db_session = db.query(DbSession).filter(DbSession.id == sid).first()
                 if db_session:
                     db_session.folder = folder if folder else None
-                    db_session.updated_at = datetime.utcnow()
+                    db_session.updated_at = utcnow_naive()
                     db.commit()
                     result["folder"] = folder if folder else None
             finally:
@@ -517,7 +518,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
                     db_session.model = model
                     db_session.endpoint_url = endpoint_url
                     db_session.headers = session.headers or {}
-                    db_session.updated_at = datetime.utcnow()
+                    db_session.updated_at = utcnow_naive()
                     db.commit()
             finally:
                 db.close()
@@ -646,7 +647,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
                 db_session = db.query(DbSession).filter(DbSession.id == sid).first()
                 if db_session:
                     db_session.archived = True
-                    db_session.updated_at = datetime.utcnow()
+                    db_session.updated_at = utcnow_naive()
                     db.commit()
                     
                     # Update in memory if it exists
@@ -680,7 +681,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
             if not db_session:
                 raise HTTPException(404, f"Session {sid} not found")
             db_session.archived = False
-            db_session.updated_at = datetime.utcnow()
+            db_session.updated_at = utcnow_naive()
             db.commit()
             # Reload into session manager so it appears in the active list
             try:
@@ -890,7 +891,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
                 db_session = db.query(DbSession).filter(DbSession.id == session_id).first()
                 if db_session:
                     db_session.is_important = important
-                    db_session.updated_at = datetime.utcnow()
+                    db_session.updated_at = utcnow_naive()
                     db.commit()
 
                     # Update in memory if it exists
@@ -979,7 +980,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
             metadata={
                 "compacted": True,
                 "summarized_count": len(older),
-                "timestamp": datetime.utcnow().isoformat(),
+                "timestamp": utcnow_naive().isoformat(),
             },
         )
         new_history = [summary_msg] + recent
@@ -1256,7 +1257,7 @@ def setup_session_routes(session_manager: SessionManager, config: dict, webhook_
                 db_session = db_session_q.first()
                 if db_session:
                     db_session.folder = folder_name
-                    db_session.updated_at = datetime.utcnow()
+                    db_session.updated_at = utcnow_naive()
                     updated += 1
             db.commit()
         except Exception as e:

routes/shell_routes.py

@@ -16,6 +16,11 @@ from pathlib import Path
 from typing import Dict, Any
 from core.platform_compat import IS_APPLE_SILICON, which_tool
 from core.middleware import INTERNAL_TOOL_USER
+from src.host_docker_access import (
+    HOST_DOCKER_ACCESS_HINT,
+    host_docker_access_enabled as _host_docker_access_enabled,
+    running_in_container as _running_in_container,
+)
 from src.optional_deps import prepare_optional_dependency_import
 
 # POSIX-only: `pty`/`fcntl` transitively import `termios`, which does NOT exist
@@ -103,32 +108,17 @@ logger = logging.getLogger(__name__)
 PTY_SUPPORTED = pty is not None and fcntl is not None and hasattr(os, "setsid")
 
 
-DOCKER_IN_CONTAINER_HINT = (
-    "Not available inside the Odysseus container by design. The image ships no "
-    "docker CLI and no host socket is mounted. Run Docker-backed launches on a "
-    "remote server, where docker is checked over SSH. Mounting /var/run/docker.sock "
-    "into the container would grant it host-root access, so only do that if you "
-    "accept that risk."
-)
-
-
-def _running_in_container(dockerenv_path="/.dockerenv", cgroup_path="/proc/1/cgroup"):
-    if os.path.exists(dockerenv_path):
-        return True
-    try:
-        with open(cgroup_path, "r", encoding="utf-8") as fh:
-            contents = fh.read()
-    except OSError:
-        return False
-    return any(token in contents for token in ("docker", "containerd", "kubepods"))
+DOCKER_IN_CONTAINER_HINT = HOST_DOCKER_ACCESS_HINT
 
 
 DockerRowStatus = namedtuple("DockerRowStatus", ["applicable", "install_hint"])
 PackageUpdateStatus = namedtuple("PackageUpdateStatus", ["available", "note"])
 
 
-def _docker_row_status(*, on_remote, in_container, installed, default_hint):
-    local_docker_unavailable = not on_remote and in_container and not installed
+def _docker_row_status(
+    *, on_remote, in_container, installed, default_hint, host_docker_access=False
+):
+    local_docker_unavailable = not on_remote and in_container and not host_docker_access
     if local_docker_unavailable:
         return DockerRowStatus(applicable=False, install_hint=DOCKER_IN_CONTAINER_HINT)
     return DockerRowStatus(applicable=True, install_hint=default_hint)
@@ -174,6 +164,8 @@ def _package_installed_from_probe(name: str, probe: dict) -> bool:
         return bool(binaries.get("llama-server") or dists.get("llama-cpp-python"))
     if name == "sglang":
         return bool(dists.get("sglang") or modules.get("sglang", {}).get("real_module"))
+    if name == "mlx_lm":
+        return bool(dists.get("mlx-lm") or modules.get("mlx_lm", {}).get("real_module"))
     if name == "diffusers":
         return bool(
             (dists.get("diffusers") or modules.get("diffusers", {}).get("real_module"))
@@ -220,6 +212,10 @@ def _package_status_note(name: str, probe: dict) -> str:
         if _package_installed_from_probe(name, probe):
             return f"diffusers {dists.get('diffusers', 'available')} with torch {dists.get('torch', 'available')}"
         return "Diffusers serving needs both diffusers and torch."
+    if name == "mlx_lm":
+        if _package_installed_from_probe(name, probe):
+            return f"MLX LM {dists.get('mlx-lm', 'available')}"
+        return "MLX serving needs mlx-lm on an Apple Silicon Mac."
     if name in dists:
         return f"{name} {dists[name]}"
     return ""
@@ -317,12 +313,14 @@ dist_names={{
     'vllm':['vllm'],
     'llama_cpp':['llama-cpp-python'],
     'sglang':['sglang'],
+    'mlx_lm':['mlx-lm'],
     'diffusers':['diffusers','torch'],
     'hf_transfer':['hf-transfer','hf_transfer'],
 }}
 bin_names={{
     'vllm':['vllm'],
     'llama_cpp':['llama-server'],
+    'tmux':['tmux'],
 }}
 
 def add_user_install_bins_to_path():
@@ -331,7 +329,12 @@ def add_user_install_bins_to_path():
         candidates.append(os.path.join(site.USER_BASE, 'bin'))
     except Exception:
         pass
+    candidates.append(os.path.expanduser('~/bin'))
+    candidates.append(os.path.expanduser('~/llama.cpp/build/bin'))
+    candidates.append(os.path.expanduser('~/llama.cpp/build-vulkan/bin'))
     candidates.append(os.path.expanduser('~/.local/bin'))
+    candidates.append('/opt/homebrew/bin')
+    candidates.append('/usr/local/bin')
     parts = os.environ.get('PATH', '').split(os.pathsep) if os.environ.get('PATH') else []
     changed = False
     for path in reversed([p for p in candidates if p]):
@@ -406,6 +409,47 @@ class ShellExecRequest(BaseModel):
     use_tmux: bool = False  # run in tmux session (survives browser disconnect)
 
 
+_REMOTE_TMUX_PATH_PREFIX = 'PATH="$HOME/.local/bin:$HOME/bin:/opt/homebrew/bin:/usr/local/bin:$PATH"; '
+
+
+def _normalize_legacy_remote_tmux_exec(command: str) -> str:
+    """Repair stale frontend Cookbook tmux SSH commands.
+
+    Older loaded JS sends `ssh host 'tmux capture-pane ...'`. On macOS/Homebrew
+    remotes, non-login SSH shells often lack /opt/homebrew/bin, so tmux is
+    installed but the capture/kill command returns nothing. Keep this narrowly
+    scoped to SSH commands whose remote shell starts with `tmux `.
+    """
+    cmd = command or ""
+    if _REMOTE_TMUX_PATH_PREFIX in cmd or not cmd.lstrip().startswith("ssh "):
+        return cmd
+    try:
+        parts = shlex.split(cmd)
+    except Exception:
+        return cmd
+    if not parts or parts[0] != "ssh":
+        return cmd
+    remote_idx = -1
+    i = 1
+    while i < len(parts):
+        part = parts[i]
+        if part in {"-p", "-o", "-i", "-F", "-J", "-l", "-S", "-W", "-b", "-c", "-m"}:
+            i += 2
+            continue
+        if part.startswith("-"):
+            i += 1
+            continue
+        remote_idx = i
+        break
+    if remote_idx < 0 or remote_idx + 1 >= len(parts):
+        return cmd
+    remote_cmd = " ".join(parts[remote_idx + 1:]).strip()
+    if not remote_cmd.startswith("tmux "):
+        return cmd
+    repaired = parts[:remote_idx + 1] + [_REMOTE_TMUX_PATH_PREFIX + remote_cmd]
+    return shlex.join(repaired)
+
+
 async def _create_shell(command: str, **kwargs):
     """Spawn a shell subprocess for `command`.
 
@@ -822,6 +866,10 @@ def setup_shell_routes() -> APIRouter:
         if not cmd:
             return {"stdout": "", "stderr": "No command provided", "exit_code": 1}
 
+        fixed_cmd = _normalize_legacy_remote_tmux_exec(cmd)
+        if fixed_cmd != cmd:
+            logger.info("Rewrote legacy remote tmux exec command with Homebrew PATH")
+            cmd = fixed_cmd
         logger.info("User shell exec requested: length=%d", len(cmd))
         result = await _exec_shell(
             cmd, timeout=req.timeout if req.timeout is not None else EXEC_TIMEOUT
@@ -962,12 +1010,84 @@ def setup_shell_routes() -> APIRouter:
 
         return StreamingResponse(generate(), media_type="text/event-stream")
 
+    def _os_id_from_release(text: str) -> str:
+        """Map /etc/os-release contents to a canonical family for our matrix."""
+        if not text:
+            return ""
+        ids = []
+        for line in text.splitlines():
+            line = line.strip()
+            if line.startswith("ID=") or line.startswith("ID_LIKE="):
+                ids += line.split("=", 1)[1].strip().strip('"').split()
+        ids = [i.lower() for i in ids]
+        if any(x in ids for x in ("debian", "ubuntu", "linuxmint", "pop", "elementary")):
+            return "debian"
+        if any(x in ids for x in ("arch", "manjaro", "endeavouros", "cachyos", "garuda")):
+            return "arch"
+        if any(x in ids for x in ("fedora", "rhel", "centos", "rocky", "almalinux", "ol")):
+            return "fedora"
+        if "alpine" in ids:
+            return "alpine"
+        if any(x in ids for x in ("suse", "opensuse", "opensuse-leap", "opensuse-tumbleweed", "sles")):
+            return "suse"
+        return ""
+
+    # Matrix lookup keyed on (os_family, backend) → (pkg_mgr_cmd_template, pkg_list_per_dep).
+    # Each `system_prereqs` name resolves to a list of OS-specific package
+    # names that get joined into the final `sudo apt install -y …` etc.
+    # command. Backend-specific extras (CUDA toolkit, ROCm, Vulkan headers)
+    # are added only when the detected backend needs them.
+    _PKG_NAMES = {
+        # canonical-name → {os_id: [actual_pkg_names_on_this_os]}
+        "cmake":           {"debian": ["cmake"], "arch": ["cmake"], "fedora": ["cmake"], "alpine": ["cmake"], "suse": ["cmake"], "macos": ["cmake"]},
+        "build-essential": {"debian": ["build-essential"], "arch": ["base-devel"], "fedora": ["gcc", "gcc-c++", "make"], "alpine": ["build-base"], "suse": ["gcc-c++", "make"], "macos": []},
+        "g++":             {"debian": ["g++"], "arch": ["gcc"], "fedora": ["gcc-c++"], "alpine": ["g++"], "suse": ["gcc-c++"], "macos": []},
+        "gcc":             {"debian": ["gcc"], "arch": ["gcc"], "fedora": ["gcc"], "alpine": ["gcc"], "suse": ["gcc"], "macos": []},
+        "make":            {"debian": ["make"], "arch": ["make"], "fedora": ["make"], "alpine": ["make"], "suse": ["make"], "macos": []},
+        "git":             {"debian": ["git"], "arch": ["git"], "fedora": ["git"], "alpine": ["git"], "suse": ["git"], "macos": ["git"]},
+        "tmux":            {"debian": ["tmux"], "arch": ["tmux"], "fedora": ["tmux"], "alpine": ["tmux"], "suse": ["tmux"], "macos": ["tmux"]},
+    }
+    _BACKEND_EXTRAS = {
+        "cuda":   {"debian": ["nvidia-cuda-toolkit"], "arch": ["cuda"], "fedora": ["cuda-toolkit"], "alpine": [], "suse": ["cuda"], "macos": []},
+        "rocm":   {"debian": ["rocm-dev"], "arch": ["rocm-hip-sdk"], "fedora": ["rocm-devel"], "alpine": [], "suse": ["rocm-dev"], "macos": []},
+        "vulkan": {"debian": ["libvulkan-dev", "vulkan-tools"], "arch": ["vulkan-headers", "vulkan-tools"], "fedora": ["vulkan-headers", "vulkan-tools"], "alpine": ["vulkan-loader-dev", "vulkan-tools"], "suse": ["vulkan-devel", "vulkan-tools"], "macos": []},
+    }
+    _PKG_MGR = {
+        "debian": "sudo apt install -y {pkgs}",
+        "arch":   "sudo pacman -S --needed {pkgs}",
+        "fedora": "sudo dnf install -y {pkgs}",
+        "alpine": "sudo apk add {pkgs}",
+        "suse":   "sudo zypper install -n {pkgs}",
+        "macos":  "brew install {pkgs}",
+    }
+
+    def _install_cmd_for_target(os_id: str, backend: str, missing: list[str]) -> str:
+        """Build a single OS+backend-aware install command for the missing prereqs."""
+        if not os_id or os_id not in _PKG_MGR:
+            return ""
+        pkgs: list[str] = []
+        seen: set[str] = set()
+        for m in missing:
+            for p in _PKG_NAMES.get(m, {}).get(os_id, []):
+                if p not in seen:
+                    pkgs.append(p); seen.add(p)
+        # Add backend-specific extras only when the build would actually
+        # consume them (a CUDA toolkit isn't useful on a Vulkan box).
+        backend = (backend or "").lower()
+        for p in _BACKEND_EXTRAS.get(backend, {}).get(os_id, []):
+            if p not in seen:
+                pkgs.append(p); seen.add(p)
+        if not pkgs:
+            return ""
+        return _PKG_MGR[os_id].format(pkgs=" ".join(pkgs))
+
     @router.get("/api/cookbook/packages")
     async def list_packages(
         request: Request,
         host: str | None = None,
         ssh_port: str | None = None,
         venv: str | None = None,
+        backend: str | None = None,
     ):
         """Check which optional packages are installed.
 
@@ -988,8 +1108,19 @@ def setup_shell_routes() -> APIRouter:
         importlib.invalidate_caches()
         try:
             user_site = site.getusersitepackages()
-            if user_site and os.path.isdir(user_site) and user_site not in sys.path:
-                sys.path.append(user_site)
+            if user_site and os.path.isdir(user_site):
+                # Use addsitedir(), NOT a bare sys.path.append(). When a package
+                # is `pip install --user`'d at runtime (Cookbook → Install) the
+                # long-lived server process started before the user-site existed,
+                # so site never processed it — including its `.pth` hooks. On
+                # Python 3.12+ `distutils` is gone from stdlib and is only
+                # restored by setuptools' `distutils-precedence.pth`, which ships
+                # in user-site. basicsr (a realesrgan dep) does `import distutils`
+                # at import time, so a plain append left the package importable
+                # but `import distutils` failing → realesrgan probed as
+                # not-installed until a full process restart. addsitedir() replays
+                # the `.pth` files so the shim is active.
+                site.addsitedir(user_site)
         except Exception:
             pass
         if ssh_port and str(ssh_port).strip() not in ("", "22"):
@@ -1016,6 +1147,12 @@ def setup_shell_routes() -> APIRouter:
                 "kind": "system",
                 "install_hint": "Install Docker on the selected server and allow this user to run docker.",
             },
+            # Note: cmake / gcc / git are not separate dependency rows —
+            # they're declared as `system_prereqs` on llama_cpp (and any
+            # other engine that compiles from source) so they appear as
+            # an inline status note on that engine's row instead of
+            # cluttering the panel with raw OS package names that aren't
+            # meaningful product-level dependencies on their own.
             # ── LLM ── installs on GPU servers for model serving/downloading
             {
                 "name": "hf_transfer",
@@ -1027,9 +1164,16 @@ def setup_shell_routes() -> APIRouter:
             {
                 "name": "llama_cpp",
                 "pip": "llama-cpp-python[server]",
-                "desc": "Serve GGUF models via llama.cpp",
+                "desc": "Great for single-GPU or CPU inference with GGUF models",
                 "category": "LLM",
                 "target": "remote",
+                # Build-toolchain prereqs. Cookbook's launch bootstrap
+                # compiles llama-server from source when no prebuilt
+                # binary is present; without these the build aborts
+                # with `cmake: command not found`. Surfaced inline on
+                # this row so the user doesn't have to chase three
+                # separate OS-package rows.
+                "system_prereqs": ["cmake", "g++", "git"],
             },
             {
                 "name": "sglang",
@@ -1041,7 +1185,14 @@ def setup_shell_routes() -> APIRouter:
             {
                 "name": "vllm",
                 "pip": "vllm",
-                "desc": "High-throughput LLM serving engine",
+                "desc": "Great for high-throughput multi-GPU inference",
+                "category": "LLM",
+                "target": "remote",
+            },
+            {
+                "name": "mlx_lm",
+                "pip": "mlx-lm",
+                "desc": "Serve MLX-format models on Apple Silicon Macs",
                 "category": "LLM",
                 "target": "remote",
             },
@@ -1060,7 +1211,7 @@ def setup_shell_routes() -> APIRouter:
             {
                 "name": "diffusers",
                 "pip": "diffusers[torch]",
-                "desc": "Image generation pipelines (SD, Flux) with PyTorch",
+                "desc": "Image generation/editing pipelines (SD, Flux) with PyTorch",
                 "category": "Image",
                 "target": "remote",
             },
@@ -1104,6 +1255,7 @@ def setup_shell_routes() -> APIRouter:
         # venv over SSH so a remote `pip install` actually reflects here.
         remote_status: dict = {}
         remote_details: dict = {}
+        remote_probe_error = ""
         remote_names = [
             p["name"]
             for p in packages
@@ -1142,16 +1294,56 @@ def setup_shell_routes() -> APIRouter:
                         break
             except ValueError as e:
                 raise HTTPException(400, str(e))
-            except Exception:
+            except Exception as e:
                 remote_status = {}
-        if host and remote_system_names:
+                remote_probe_error = f"SSH package probe failed: {str(e)[:160]}"
+            if "llama_cpp" in remote_names:
+                try:
+                    inner = (
+                        'export PATH="$HOME/.local/bin:$HOME/bin:'
+                        '$HOME/llama.cpp/build/bin:$HOME/llama.cpp/build-vulkan/bin:$PATH"; '
+                        "command -v llama-server 2>/dev/null || true"
+                    )
+                    argv = _ssh_base_argv(host, ssh_port) + [inner]
+                    proc = await asyncio.create_subprocess_exec(
+                        *argv,
+                        stdout=asyncio.subprocess.PIPE,
+                        stderr=asyncio.subprocess.PIPE,
+                    )
+                    out, _err = await asyncio.wait_for(proc.communicate(), timeout=8)
+                    llama_server_path = out.decode("utf-8", errors="replace").strip().splitlines()
+                    llama_server_path = llama_server_path[-1].strip() if llama_server_path else ""
+                    if llama_server_path:
+                        remote_status["llama_cpp"] = True
+                        probe = remote_details.setdefault("llama_cpp", {})
+                        if isinstance(probe, dict):
+                            probe.setdefault("binaries", {})["llama-server"] = llama_server_path
+                except Exception as e:
+                    if not remote_probe_error:
+                        remote_probe_error = f"SSH llama-server probe failed: {str(e)[:160]}"
+                    pass
+        # Union of system_names + every package's system_prereqs. Probing
+        # the prereqs alongside the main system deps in a single SSH call
+        # avoids a second round-trip per Cookbook → Dependencies refresh.
+        prereq_names: set[str] = set()
+        for p in packages:
+            for pr in p.get("system_prereqs") or []:
+                prereq_names.add(str(pr))
+        all_system_names = list(set(remote_system_names) | prereq_names)
+        # Detect the target's OS family + read /etc/os-release in the same
+        # SSH round-trip as the prereq probe — used downstream to render a
+        # single OS-specific install command per row instead of dumping
+        # every distro's syntax onto the user.
+        target_os_id: str = ""
+        if host and all_system_names:
             try:
                 checks = []
-                for name in remote_system_names:
+                for name in all_system_names:
                     qn = shlex.quote(name)
                     checks.append(
-                        f"if command -v {qn} >/dev/null 2>&1; then echo {qn}=1; else echo {qn}=0; fi"
+                        f"PATH=\"$HOME/.local/bin:$HOME/bin:/opt/homebrew/bin:/usr/local/bin:$PATH\"; if command -v {qn} >/dev/null 2>&1; then echo {qn}=1; else echo {qn}=0; fi"
                     )
+                checks.append("echo '---OSREL---'; cat /etc/os-release 2>/dev/null || { [ \"$(uname -s 2>/dev/null)\" = \"Darwin\" ] && echo ID=macos; } || true")
                 inner = " ; ".join(checks)
                 argv = _ssh_base_argv(host, ssh_port) + [inner]
                 proc = await asyncio.create_subprocess_exec(
@@ -1161,20 +1353,45 @@ def setup_shell_routes() -> APIRouter:
                 )
                 out, _err = await asyncio.wait_for(proc.communicate(), timeout=12)
                 txt = out.decode("utf-8", errors="replace").strip()
+                _section, _osrel_lines = "probe", []
                 for line in txt.splitlines():
+                    if line.strip() == "---OSREL---":
+                        _section = "osrel"; continue
+                    if _section == "osrel":
+                        _osrel_lines.append(line)
+                        continue
                     name, sep, value = line.strip().partition("=")
-                    if sep and name in remote_system_names:
+                    if sep and name in all_system_names:
                         remote_status[name] = value == "1"
+                target_os_id = _os_id_from_release("\n".join(_osrel_lines))
             except ValueError as e:
                 raise HTTPException(400, str(e))
-            except Exception:
+            except Exception as e:
+                if not remote_probe_error:
+                    remote_probe_error = f"SSH system probe failed: {str(e)[:160]}"
                 pass
+        elif not host:
+            # Local target — probe in-process so the inline install command
+            # still appears in the dep panel when the cookbook container
+            # itself is the selected server.
+            try:
+                with open("/etc/os-release", encoding="utf-8") as f:
+                    target_os_id = _os_id_from_release(f.read())
+            except Exception:
+                target_os_id = ""
+            if sys.platform == "darwin":
+                target_os_id = "macos"
 
         for pkg in packages:
             on_remote = bool(host and pkg.get("target") == "remote")
             probe = None
             if on_remote:
-                pkg["installed"] = bool(remote_status.get(pkg["name"], False))
+                if remote_probe_error and pkg["name"] not in remote_status:
+                    pkg["installed"] = None
+                    pkg["probe_error"] = remote_probe_error
+                    pkg["status_note"] = remote_probe_error
+                else:
+                    pkg["installed"] = bool(remote_status.get(pkg["name"], False))
                 probe = remote_details.get(pkg["name"])
                 if isinstance(probe, dict):
                     pkg["details"] = probe
@@ -1223,13 +1440,116 @@ def setup_shell_routes() -> APIRouter:
                     pkg["installed"] = False
                 except importlib_metadata.PackageNotFoundError:
                     pkg["installed"] = False
-                except Exception:
+                except (Exception, SystemExit):
                     # Installed but crashes on import — e.g. a CUDA build of
                     # llama-cpp-python raising FileNotFoundError when the CUDA
-                    # toolkit dir is absent. One broken optional package must not
-                    # 500 the entire packages panel; report it as not usable.
+                    # toolkit dir is absent, or rembg calling sys.exit(1) when no
+                    # onnxruntime backend can be loaded. SystemExit is a
+                    # BaseException, not Exception, so without catching it here a
+                    # single sys.exit-on-import package escapes and takes down the
+                    # whole packages panel / worker (the panel hangs forever). One
+                    # broken optional package must not 500 — or hang — the entire
+                    # panel; report it as not usable.
                     pkg["installed"] = False
 
+            # llama_cpp partial-state probe: when the package is installed
+            # but the wheel was built CPU-only AND the target has NVIDIA
+            # hardware, mark the row as partial (yellow/orange) with a
+            # one-click upgrade to the CUDA wheel. Without this the row
+            # reads "ready" green while inference runs at 3 tok/s on GPU
+            # silicon — actively misleading.
+            if pkg["name"] == "llama_cpp" and pkg.get("installed"):
+                _native_llama_server = bool(
+                    isinstance(probe, dict)
+                    and isinstance(probe.get("binaries"), dict)
+                    and probe["binaries"].get("llama-server")
+                )
+                _gpu_capable = False
+                _has_nvidia_target = False
+                if _native_llama_server:
+                    # Native llama-server is the launcher path Cookbook now
+                    # prefers. Do not mark this as a CPU-only Python wheel just
+                    # because llama-cpp-python is absent from the selected venv.
+                    _gpu_capable = True
+                elif on_remote and host:
+                    try:
+                        # Activate the configured venv FIRST so the probe
+                        # runs against the same python the launch script
+                        # would activate. Without this prefix, bare
+                        # `python3` was checked — which can disagree with
+                        # the venv's wheel (e.g. user-site has CUDA wheel
+                        # but venv has CPU-only), and the dep panel then
+                        # showed "ready" green while every launch fell to
+                        # CPU.
+                        _vp = _venv_activate_prefix(venv)
+                        probe = (
+                            f'{_vp}python3 -c "import llama_cpp; import sys; '
+                            'sys.exit(0 if llama_cpp.llama_supports_gpu_offload() else 1)" '
+                            '&& echo llama_cpp_gpu=1 || echo llama_cpp_gpu=0; '
+                            'command -v nvidia-smi >/dev/null 2>&1 '
+                            '&& nvidia-smi -L 2>/dev/null | grep -q "GPU " '
+                            '&& echo nvidia=1 || echo nvidia=0'
+                        )
+                        argv = _ssh_base_argv(host, ssh_port) + [probe]
+                        proc = await asyncio.create_subprocess_exec(
+                            *argv, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE,
+                        )
+                        out, _ = await asyncio.wait_for(proc.communicate(), timeout=8)
+                        txt = out.decode("utf-8", errors="replace")
+                        if "llama_cpp_gpu=1" in txt:
+                            _gpu_capable = True
+                        if "nvidia=1" in txt:
+                            _has_nvidia_target = True
+                    except Exception:
+                        pass
+                else:
+                    try:
+                        import llama_cpp as _lcp  # type: ignore
+                        _gpu_capable = bool(_lcp.llama_supports_gpu_offload())
+                    except Exception:
+                        _gpu_capable = False
+                    _has_nvidia_target = shutil.which("nvidia-smi") is not None
+                if (not _gpu_capable) and _has_nvidia_target:
+                    pkg["partial"] = True
+                    pkg["partial_reason"] = "Installed but CPU-only wheel — GPU detected on this target. Upgrade to a CUDA wheel for ~10× faster inference."
+                    pkg["partial_action"] = "reinstall_llama_cpp_cuda"
+            # Attach per-package system_prereqs status. We probed each
+            # prereq name above; surface "Missing build deps: …" ONLY
+            # when the package itself is not installed — if the package
+            # works (e.g. llama-cpp-python already imports cleanly), the
+            # build toolchain is irrelevant and surfacing it as a red
+            # flag confuses users ("ready" + "missing" on the same row).
+            _prereqs = list(pkg.get("system_prereqs") or [])
+            if _prereqs:
+                if on_remote:
+                    _pr_present = {n: bool(remote_status.get(n)) for n in _prereqs}
+                else:
+                    _pr_present = {n: shutil.which(n) is not None for n in _prereqs}
+                pkg["system_prereqs_status"] = _pr_present
+                _missing = [n for n, ok in _pr_present.items() if not ok]
+                # Suppress the "missing build deps" hint when the package
+                # itself is installed — build deps are only relevant if
+                # the user would need to recompile from source.
+                if pkg.get("installed"):
+                    _missing = []
+                if _missing:
+                    # Build a target-specific install command from the
+                    # (os_family, backend) matrix when we know both. Fall
+                    # back to the multi-distro hint only when the target's
+                    # OS can't be classified (e.g. ssh probe failed).
+                    _resolved_os = target_os_id or "debian"  # safest default
+                    _cmd = _install_cmd_for_target(_resolved_os, backend or "", _missing)
+                    if _cmd and target_os_id:
+                        _hint = "Missing build deps for this target: " + ", ".join(_missing)
+                        pkg["install_cmd_for_target"] = _cmd
+                        pkg["install_cmd_os"] = target_os_id
+                        pkg["install_cmd_backend"] = (backend or "").lower()
+                    else:
+                        _hint = "Missing build deps: " + ", ".join(_missing) + ". Install via apt: cmake build-essential git / pacman: cmake base-devel git / dnf: cmake gcc-c++ make git / brew: cmake git."
+                    _existing_note = pkg.get("status_note") or ""
+                    pkg["status_note"] = (_existing_note + " — " + _hint) if _existing_note else _hint
+                    pkg["build_deps_missing"] = _missing
+
             if pkg.get("installed"):
                 update_status = _package_pip_update_status(pkg, probe)
                 pkg["pip_update_available"] = update_status.available
@@ -1242,6 +1562,9 @@ def setup_shell_routes() -> APIRouter:
                     in_container=_running_in_container() if not on_remote else False,
                     installed=pkg["installed"],
                     default_hint=pkg.get("install_hint"),
+                    host_docker_access=(
+                        _host_docker_access_enabled() if not on_remote else False
+                    ),
                 )
                 pkg["applicable"] = status.applicable
                 pkg["install_hint"] = status.install_hint
@@ -1277,6 +1600,7 @@ def setup_shell_routes() -> APIRouter:
             "onnxruntime",
             "hdbscan",
             "vllm",
+            "mlx-lm",
         }
         if pip_name not in known:
             return {"ok": False, "error": f"Unknown package: {pip_name}"}
@@ -1289,6 +1613,127 @@ def setup_shell_routes() -> APIRouter:
             return {"ok": True, "output": stdout.decode()[-200:]}
         return {"ok": False, "error": stderr.decode()[-300:]}
 
+    @router.post("/api/cookbook/install-system-deps")
+    async def install_system_deps(request: Request):
+        """Install OS-level system packages (cmake/build-essential/git/tmux)
+        on a remote target or in the local container. Admin only.
+
+        Bounded by a per-package allowlist — anything outside the catalog
+        is rejected so the route can't be coerced into installing arbitrary
+        OS packages. Uses `sudo -n` (passwordless) so the call returns a
+        clear "needs sudo password" error instead of hanging when interactive
+        sudo is required.
+        """
+        _require_admin(request)
+        body = await request.json()
+        raw = body.get("packages") or []
+        host = (body.get("remote_host") or "").strip()
+        ssh_port = body.get("ssh_port")
+        # Names users can request — must match canonical names used in the
+        # deps catalog's `system_prereqs` field and on the System rows.
+        ALLOWED = {"cmake", "build-essential", "g++", "gcc", "git", "tmux", "make"}
+        pkgs = [str(p).strip() for p in raw if str(p).strip() in ALLOWED]
+        if not pkgs:
+            return {"ok": False, "error": "no installable packages requested (allowlist: " + ", ".join(sorted(ALLOWED)) + ")"}
+        # Re-map to the right package name per OS. apt/dpkg use the names
+        # as-is; pacman has base-devel for build-essential, etc.
+        def _apt(names): return list(names)
+        def _pacman(names):
+            return ["base-devel" if n == "build-essential" else n for n in names]
+        def _dnf(names):
+            out = []
+            for n in names:
+                if n == "build-essential": out += ["gcc", "gcc-c++", "make"]
+                elif n == "g++": out += ["gcc-c++"]
+                else: out.append(n)
+            return out
+        def _apk(names):
+            out = []
+            for n in names:
+                if n == "build-essential": out.append("build-base")
+                else: out.append(n)
+            return out
+        def _zypper(names):
+            out = []
+            for n in names:
+                if n == "build-essential": out += ["gcc-c++", "make"]
+                elif n == "g++": out.append("gcc-c++")
+                else: out.append(n)
+            return out
+        def _brew(names):
+            return [n for n in names if n not in ("build-essential", "g++", "gcc", "make")]
+        # Build a single shell snippet that detects the package manager and
+        # runs the right install. Non-interactive sudo (-n) only — if sudo
+        # asks for a password the script reports it instead of hanging.
+        apt_pkgs = " ".join(shlex.quote(p) for p in _apt(pkgs))
+        pac_pkgs = " ".join(shlex.quote(p) for p in _pacman(pkgs))
+        dnf_pkgs = " ".join(shlex.quote(p) for p in _dnf(pkgs))
+        apk_pkgs = " ".join(shlex.quote(p) for p in _apk(pkgs))
+        zypper_pkgs = " ".join(shlex.quote(p) for p in _zypper(pkgs))
+        brew_pkgs = " ".join(shlex.quote(p) for p in _brew(pkgs))
+        # Error messages go to stderr (>&2) so the route's error field
+        # gets populated. Without the redirect, `echo "ERROR…"` on stdout
+        # left stderr empty and the frontend toast fell through to a
+        # bare "HTTP 200" instead of surfacing the real reason.
+        script = (
+            'set -e; '
+            'BREW="$(command -v brew 2>/dev/null || true)"; '
+            'if [ -z "$BREW" ] && [ -x /opt/homebrew/bin/brew ]; then BREW=/opt/homebrew/bin/brew; fi; '
+            'if [ -z "$BREW" ] && [ -x /usr/local/bin/brew ]; then BREW=/usr/local/bin/brew; fi; '
+            'if [ -n "$BREW" ]; then '
+            f'  if [ -z "{brew_pkgs}" ]; then echo "Nothing to install with brew for requested packages." >&2; exit 4; fi; "$BREW" install {brew_pkgs}; exit $?; '
+            'fi; '
+            'if [ "$(id -u)" = "0" ]; then SUDO=""; '
+            'elif command -v sudo >/dev/null 2>&1 && sudo -n true 2>/dev/null; then SUDO="sudo -n"; '
+            'else '
+            '  echo "ERROR: this target needs sudo for its OS package manager, but passwordless sudo is unavailable. Open a terminal on the target and run the shown install command once, then retry in Cookbook." >&2; exit 2; fi; '
+            'if command -v apt-get >/dev/null 2>&1; then '
+            f'  $SUDO env DEBIAN_FRONTEND=noninteractive apt-get update -qq && $SUDO env DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends {apt_pkgs}; '
+            'elif command -v pacman >/dev/null 2>&1; then '
+            f'  $SUDO pacman -Sy --needed --noconfirm {pac_pkgs}; '
+            'elif command -v dnf >/dev/null 2>&1; then '
+            f'  $SUDO dnf install -y {dnf_pkgs}; '
+            'elif command -v apk >/dev/null 2>&1; then '
+            f'  $SUDO apk add --no-interactive {apk_pkgs}; '
+            'elif command -v zypper >/dev/null 2>&1; then '
+            f'  $SUDO zypper --non-interactive install {zypper_pkgs}; '
+            'else '
+            '  echo "ERROR: no supported package manager (apt/pacman/dnf/apk/zypper/brew) on this target." >&2; exit 3; fi'
+        )
+        try:
+            if host:
+                argv = _ssh_base_argv(host, ssh_port) + [script]
+            else:
+                argv = ["bash", "-lc", script]
+        except ValueError as e:
+            raise HTTPException(400, str(e))
+        try:
+            proc = await asyncio.create_subprocess_exec(
+                *argv, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE
+            )
+            out, err = await asyncio.wait_for(proc.communicate(), timeout=180)
+        except asyncio.TimeoutError:
+            return {"ok": False, "error": "Install timed out after 180s"}
+        ok = (proc.returncode == 0)
+        # Combine stderr + (last lines of stdout) into a single error
+        # blob when ok=False — some package managers print useful failure
+        # context to stdout, and a script that exits via `echo ...; exit N`
+        # without `>&2` would otherwise hand back an empty error string
+        # and force the frontend to show a bare "HTTP 200".
+        err_txt = err.decode("utf-8", errors="replace").strip()
+        out_txt = out.decode("utf-8", errors="replace").strip()
+        if not ok:
+            tail_out = out_txt[-500:] if out_txt else ""
+            combined = err_txt or tail_out or f"exit code {proc.returncode}"
+        else:
+            combined = None
+        return {
+            "ok": ok,
+            "exit_code": proc.returncode,
+            "output": out_txt[-1000:],
+            "error": combined,
+        }
+
     @router.post("/api/cookbook/rebuild-engine")
     async def rebuild_engine(request: Request):
         """Clear the cached llama.cpp build so the next serve recompiles.
@@ -1309,7 +1754,8 @@ def setup_shell_routes() -> APIRouter:
             return {"ok": False, "error": f"Unsupported engine: {engine}"}
         host = str(body.get("remote_host") or "").strip()
         ssh_port = body.get("ssh_port")
-        cmd = _llama_cpp_rebuild_cmd()
+        update_source = bool(body.get("update_source"))
+        cmd = _llama_cpp_rebuild_cmd(update_source=update_source)
         try:
             argv = (
                 (_ssh_base_argv(host, ssh_port) + [cmd])

routes/skills_routes.py

@@ -22,6 +22,16 @@ from core.middleware import require_admin
 
 logger = logging.getLogger(__name__)
 
+# Last-resort verdict extraction from a teacher/verifier model's prose (run when
+# JSON parsing fails). `["\'\s:]*` already consumes whitespace, so the original
+# trailing `\s*` made two adjacent \s-matching quantifiers that backtrack O(n^2)
+# on a `verdict` + whitespace flood in untrusted model output (CodeQL
+# py/polynomial-redos). Without it a single unbounded quantifier remains — the
+# matched text is identical, and the scan is linear.
+_VERDICT_PROSE_RE = re.compile(
+    r'verdict["\'\s:]*["\']?(pass|needs_work|fail|inconclusive)', re.I
+)
+
 
 class SkillAddRequest(BaseModel):
     # New schema (preferred)
@@ -196,7 +206,7 @@ async def _eval_skill_run(skill_md: str, task: str, transcript: str,
         # Last resort: pull the verdict keyword straight out of the prose so a
         # clearly-decided run isn't thrown away as "unparseable".
         if v not in _VERDICTS:
-            km = _re.search(r'verdict["\'\s:]*\s*["\']?(pass|needs_work|fail|inconclusive)', text, _re.I)
+            km = _VERDICT_PROSE_RE.search(text)
             if km:
                 v = km.group(1).lower()
                 if data is None:

routes/task_routes.py

@@ -11,10 +11,14 @@ from fastapi import APIRouter, HTTPException, Request
 from pydantic import BaseModel
 
 from core.database import SessionLocal, ScheduledTask, TaskRun
-from core.middleware import INTERNAL_TOOL_USER
 from core.constants import internal_api_base
 from src.auth_helpers import get_current_user
 from src.constants import DATA_DIR, EMAIL_URGENCY_CACHE_DIR
+from src.task_action_policy import (
+    ADMIN_ONLY_TASK_ACTIONS,
+    is_admin_only_task_action,
+    owner_has_admin_task_privileges,
+)
 from src.task_scheduler import compute_next_run, HOUSEKEEPING_DEFAULTS
 from routes.prefs_routes import _load_for_user, _save_for_user
 
@@ -417,28 +421,18 @@ def setup_task_routes(task_scheduler) -> APIRouter:
                 db.close()
         return {"ok": True, "opened": True, "enabled": bool(prefs.get("tasks_enabled")), "resumed": resumed}
 
-    # Actions that execute shell/SSH commands — restricted to admins.
+    # Actions that execute shell/SSH commands or cross into admin-only
+    # Cookbook serving surfaces — restricted to admins.
     # Non-admin users cannot create tasks with these action types via the
     # API. See review CRIT-C.
-    _ADMIN_ONLY_ACTIONS = {"run_local", "run_script", "ssh_command"}
+    _ADMIN_ONLY_ACTIONS = ADMIN_ONLY_TASK_ACTIONS
 
     def _is_admin(user: str | None) -> bool:
-        if not user:
-            return False
-        # In-process tool-loopback marker — AuthMiddleware validated
-        # the internal token + loopback client before stamping this,
-        # so treat as admin-equivalent.
-        if user == INTERNAL_TOOL_USER:
-            return True
-        try:
-            from core.auth import AuthManager
-            auth = AuthManager()
-            if not auth.is_configured:
-                # Unconfigured single-user deploy: trust the local owner.
-                return True
-            return bool(auth.is_admin(user))
-        except Exception:
-            return False
+        return owner_has_admin_task_privileges(user)
+
+    def _require_admin_for_task_action(user: str | None, task_type: str | None, action: str | None) -> None:
+        if is_admin_only_task_action(task_type, action) and not _is_admin(user):
+            raise HTTPException(403, f"Action '{action}' requires admin privileges")
 
     def _validate_then_task_id(db, then_task_id: Optional[str], user: Optional[str], current_task_id: Optional[str] = None) -> Optional[str]:
         target_id = (then_task_id or "").strip()
@@ -466,8 +460,7 @@ def setup_task_routes(task_scheduler) -> APIRouter:
         # Block shell-executing action types for non-admins. action_run_local
         # uses subprocess.run(shell=True) and ssh_command / run_script run
         # arbitrary commands.
-        if req.task_type == "action" and req.action in _ADMIN_ONLY_ACTIONS and not _is_admin(user):
-            raise HTTPException(403, f"Action '{req.action}' requires admin privileges")
+        _require_admin_for_task_action(user, req.task_type, req.action)
         if req.trigger_type == "schedule" and not req.schedule:
             raise HTTPException(400, "Schedule is required for schedule-triggered tasks")
         if req.trigger_type == "schedule" and req.schedule == "cron" and not req.cron_expression:
@@ -594,6 +587,7 @@ def setup_task_routes(task_scheduler) -> APIRouter:
         cache_tables = {
             "summarize_emails": ("email_summaries",),
             "draft_email_replies": ("email_ai_replies",),
+            "email_auto_translate": ("email_translations",),
             "extract_email_events": ("email_calendar_extractions",),
             "learn_sender_signatures": ("sender_signatures",),
             "check_email_urgency": ("email_tags", "email_urgency_alerts"),
@@ -680,6 +674,10 @@ def setup_task_routes(task_scheduler) -> APIRouter:
             if user and task.owner != user:
                 raise HTTPException(403, "Access denied")
 
+            next_task_type = req.task_type if req.task_type is not None else task.task_type
+            next_action = req.action if req.action is not None else task.action
+            _require_admin_for_task_action(user, next_task_type, next_action)
+
             if req.name is not None:
                 task.name = req.name
             if req.prompt is not None:
@@ -687,9 +685,6 @@ def setup_task_routes(task_scheduler) -> APIRouter:
             if req.task_type is not None:
                 task.task_type = req.task_type
             if req.action is not None:
-                # Same admin-only gate as create — see CRIT-C.
-                if req.action in _ADMIN_ONLY_ACTIONS and not _is_admin(user):
-                    raise HTTPException(403, f"Action '{req.action}' requires admin privileges")
                 task.action = req.action
             if req.output_target is not None:
                 task.output_target = req.output_target
@@ -806,6 +801,7 @@ def setup_task_routes(task_scheduler) -> APIRouter:
                 raise HTTPException(404, "Task not found")
             if user and task.owner != user:
                 raise HTTPException(403, "Access denied")
+            _require_admin_for_task_action(user, task.task_type, task.action)
             task.status = "active"
             if (task.trigger_type or "schedule") == "schedule":
                 task.next_run = compute_next_run(
@@ -868,6 +864,7 @@ def setup_task_routes(task_scheduler) -> APIRouter:
                 raise HTTPException(404, "Task not found")
             if user and task.owner != user:
                 raise HTTPException(403, "Access denied")
+            _require_admin_for_task_action(user, task.task_type, task.action)
         finally:
             db.close()
         started = await task_scheduler.run_task_now(task_id, force=force)
@@ -893,10 +890,11 @@ def setup_task_routes(task_scheduler) -> APIRouter:
         return {"ok": True, "message": "Task stopped"}
 
     @router.get("/runs/recent")
-    async def list_recent_runs(request: Request, limit: int = 50):
+    async def list_recent_runs(request: Request, limit: int = 50, max_result_chars: int = 6000):
         """Recent task runs across ALL tasks for this owner. Drives the Activity view."""
         user = _owner(request)
         limit = max(1, min(limit, 200))
+        max_result_chars = max(500, min(max_result_chars, 20000))
         db = SessionLocal()
         try:
             q = db.query(TaskRun, ScheduledTask).join(
@@ -930,10 +928,20 @@ def setup_task_routes(task_scheduler) -> APIRouter:
                 deduped.append((r, t))
                 if len(deduped) >= limit:
                     break
+
+            def _clip_run(r: TaskRun) -> dict:
+                d = _run_to_dict(r)
+                for key in ("result", "error"):
+                    val = d.get(key)
+                    if isinstance(val, str) and len(val) > max_result_chars:
+                        d[key] = val[:max_result_chars].rstrip() + "\n\n[Activity preview truncated]"
+                return d
+
             return {
+                "has_more": len(rows) > len(deduped),
                 "runs": [
                     {
-                        **_run_to_dict(r),
+                        **_clip_run(r),
                         "task_name": _display_task_name(t),
                         "task_type": t.task_type or "llm",
                         "action": t.action,
@@ -1046,6 +1054,14 @@ def setup_task_routes(task_scheduler) -> APIRouter:
             ).first()
             if not task:
                 raise HTTPException(404, "Not found")
+            if (
+                is_admin_only_task_action(task.task_type, task.action)
+                and not owner_has_admin_task_privileges(task.owner)
+            ):
+                task.status = "paused"
+                task.next_run = None
+                db.commit()
+                raise HTTPException(403, f"Action '{task.action}' requires admin privileges")
         finally:
             db.close()
         started = await task_scheduler.run_task_now(task_id)

routes/upload_routes.py

@@ -3,11 +3,16 @@ import os
 import time
 import json
 import asyncio
-from fastapi import APIRouter, Request, File, UploadFile, HTTPException
-from typing import List
+import shutil
+import uuid
+from pathlib import Path
+from fastapi import APIRouter, Request, File, UploadFile, HTTPException, Form
+from typing import List, Optional
 import logging
 from core.middleware import require_admin
+from core.database import SessionLocal, GalleryImage, Session as DbSession
 from src.auth_helpers import effective_user
+from src.constants import GENERATED_IMAGES_DIR
 from src.upload_handler import count_recent_uploads
 
 logger = logging.getLogger(__name__)
@@ -50,10 +55,90 @@ def setup_upload_routes(upload_handler):
             raise HTTPException(404, "File not found")
 
         raise HTTPException(404, "File not found")
+
+    def _valid_session_id_for_owner(db, session_id: str | None, owner: str | None) -> str | None:
+        if not session_id:
+            return None
+        sess = db.query(DbSession).filter(DbSession.id == session_id).first()
+        if not sess:
+            return None
+        if owner and sess.owner and sess.owner != owner:
+            return None
+        return session_id
+
+    def _promote_chat_image_to_gallery(meta: dict, owner: str | None, session_id: str | None = None) -> str | None:
+        """Make chat-uploaded images visible in Gallery without changing chat storage."""
+        is_image_file = getattr(upload_handler, "is_image_file", None)
+        if not callable(is_image_file):
+            return None
+        if not is_image_file(meta.get("name", ""), meta.get("mime", "")):
+            return None
+
+        source_path = meta.get("path")
+        if not source_path or not os.path.isfile(source_path):
+            return None
+
+        db = SessionLocal()
+        try:
+            file_hash = meta.get("hash")
+            if file_hash:
+                q = db.query(GalleryImage).filter(
+                    GalleryImage.file_hash == file_hash,
+                    GalleryImage.is_active == True,  # noqa: E712
+                )
+                if owner:
+                    q = q.filter(GalleryImage.owner == owner)
+                existing = q.first()
+                if existing:
+                    return existing.id
+
+            image_dir = Path(GENERATED_IMAGES_DIR)
+            image_dir.mkdir(parents=True, exist_ok=True)
+            ext = Path(meta.get("name") or source_path).suffix.lower()
+            if ext not in {".png", ".jpg", ".jpeg", ".webp", ".gif"}:
+                mime_ext = {
+                    "image/png": ".png",
+                    "image/jpeg": ".jpg",
+                    "image/jpg": ".jpg",
+                    "image/webp": ".webp",
+                    "image/gif": ".gif",
+                }.get(meta.get("mime", ""))
+                ext = mime_ext or ".png"
+            filename = f"{uuid.uuid4().hex[:12]}{ext}"
+            dest_path = image_dir / filename
+            shutil.copy2(source_path, dest_path)
+
+            image_id = str(uuid.uuid4())
+            db.add(GalleryImage(
+                id=image_id,
+                filename=filename,
+                prompt=meta.get("name") or "Chat upload",
+                model="chat-upload",
+                owner=owner,
+                session_id=_valid_session_id_for_owner(db, session_id, owner),
+                file_hash=file_hash,
+                width=meta.get("width"),
+                height=meta.get("height"),
+                file_size=meta.get("size"),
+            ))
+            db.commit()
+            return image_id
+        except Exception as e:
+            db.rollback()
+            logger.warning("Failed to add chat image upload to gallery: %s", e)
+            return None
+        finally:
+            db.close()
     
     @router.post("")
-    async def api_upload(request: Request, files: List[UploadFile] = File(...)):
+    async def api_upload(
+        request: Request,
+        files: List[UploadFile] = File(...),
+        session_id: Optional[str] = Form(None),
+    ):
         """Upload files with enhanced security and organization."""
+        if not isinstance(session_id, str):
+            session_id = None
         if not files:
             raise HTTPException(400, "No files uploaded")
             
@@ -78,8 +163,10 @@ def setup_upload_routes(upload_handler):
         
         for u in files:
             try:
-                meta = upload_handler.save_upload(u, client_ip, owner=effective_user(request))
-                out.append({
+                owner = effective_user(request)
+                meta = upload_handler.save_upload(u, client_ip, owner=owner)
+                gallery_id = _promote_chat_image_to_gallery(meta, owner, session_id)
+                item = {
                     "id": meta["id"],
                     "name": meta["name"],
                     "mime": meta["mime"],
@@ -89,7 +176,10 @@ def setup_upload_routes(upload_handler):
                     "width": meta.get("width"),
                     "height": meta.get("height"),
                     "is_duplicate": meta.get("is_duplicate", False)
-                })
+                }
+                if gallery_id:
+                    item["gallery_id"] = gallery_id
+                out.append(item)
             except HTTPException:
                 raise
             except Exception as e:
@@ -128,14 +218,13 @@ def setup_upload_routes(upload_handler):
         import mimetypes as _mt
         # Look up original filename and owner from uploads.json
         original_name = file_id
-        info = None
-        uploads_db = os.path.join(_upload_root(), "uploads.json")
-        if os.path.exists(uploads_db):
-            with open(uploads_db, encoding="utf-8") as f:
-                db = json.load(f)
-            info = next((fi for fi in db.values() if fi.get("id") == file_id), None)
-            if info:
-                original_name = info.get("name", file_id)
+        # _load_upload_index() tolerates a missing/corrupt uploads.json (it falls
+        # back to the .bak sibling, then to {}), so a truncated DB degrades to
+        # "no metadata" instead of a 500 from an unhandled JSONDecodeError.
+        db = upload_handler._load_upload_index()
+        info = next((fi for fi in db.values() if fi.get("id") == file_id), None)
+        if info:
+            original_name = info.get("name", file_id)
         auth_mgr = getattr(request.app.state, "auth_manager", None)
         auth_configured = bool(auth_mgr and auth_mgr.is_configured)
         current_user = effective_user(request)
@@ -181,19 +270,42 @@ def setup_upload_routes(upload_handler):
 
     def _load_upload_info(file_id: str):
         """Look up the uploads.json record for a file_id, with owner/auth checks."""
-        info = None
-        uploads_db = os.path.join(_upload_root(), "uploads.json")
-        if os.path.exists(uploads_db):
-            with open(uploads_db, encoding="utf-8") as f:
-                db = json.load(f)
-            info = next((fi for fi in db.values() if fi.get("id") == file_id), None)
-        return info
+        # Corruption-tolerant load (see download_file): a bad uploads.json yields
+        # {} rather than raising JSONDecodeError out of the vision path.
+        db = upload_handler._load_upload_index()
+        return next((fi for fi in db.values() if fi.get("id") == file_id), None)
 
     def _vision_cache_path(file_id: str) -> str:
         cache_dir = os.path.join(_upload_root(), ".vision")
         os.makedirs(cache_dir, exist_ok=True)
         return os.path.join(cache_dir, file_id + ".txt")
 
+    def _sync_gallery_caption_for_upload(info: dict | None, owner: str | None, text: str) -> None:
+        """Copy upload OCR/vision text onto the promoted gallery image row."""
+        if not info:
+            return
+        file_hash = info.get("hash")
+        if not file_hash:
+            return
+        db = SessionLocal()
+        try:
+            q = db.query(GalleryImage).filter(
+                GalleryImage.file_hash == file_hash,
+                GalleryImage.is_active == True,  # noqa: E712
+            )
+            if owner:
+                q = q.filter(GalleryImage.owner == owner)
+            img = q.first()
+            if not img:
+                return
+            img.caption = (text or "").strip()
+            db.commit()
+        except Exception as e:
+            db.rollback()
+            logger.warning("Failed to sync OCR caption to gallery image: %s", e)
+        finally:
+            db.close()
+
     @router.get("/{file_id}/vision")
     async def get_vision_text(request: Request, file_id: str, force: int = 0):
         """Return the vision-model OCR/description for an uploaded image.
@@ -220,7 +332,9 @@ def setup_upload_routes(upload_handler):
         if not force and os.path.exists(cache_path):
             try:
                 with open(cache_path, encoding="utf-8") as f:
-                    return {"text": f.read(), "cached": True}
+                    cached_text = f.read()
+                _sync_gallery_caption_for_upload(info, file_owner or current_user, cached_text)
+                return {"text": cached_text, "cached": True}
             except Exception as e:
                 logger.warning(f"Vision cache read failed for {file_id}: {e}")
         from src.document_processor import analyze_image_with_vl
@@ -234,6 +348,7 @@ def setup_upload_routes(upload_handler):
                 f.write(text)
         except Exception as e:
             logger.warning(f"Vision cache write failed for {file_id}: {e}")
+        _sync_gallery_caption_for_upload(info, file_owner or current_user, text)
         return {"text": text, "cached": False}
 
     @router.put("/{file_id}/vision")
@@ -255,12 +370,16 @@ def setup_upload_routes(upload_handler):
             if file_owner != current_user and not auth_mgr.is_admin(current_user):
                 raise HTTPException(404, "File not found")
         _resolve_upload_path(file_id)
-        body = await request.json()
+        try:
+            body = await request.json()
+        except json.JSONDecodeError:
+            raise HTTPException(400, "Request body must be valid JSON")
         text = (body or {}).get("text", "")
         if not isinstance(text, str):
             raise HTTPException(400, "text must be a string")
         with open(_vision_cache_path(file_id), "w", encoding="utf-8") as f:
             f.write(text)
+        _sync_gallery_caption_for_upload(info, file_owner or current_user, text)
         return {"ok": True}
 
     async def periodic_rate_limit_cleanup():

routes/webhook_routes.py

@@ -345,8 +345,9 @@ def setup_webhook_routes(
                             resp = await client.get(models_url, headers=hdrs)
                             resp.raise_for_status()
                             data = resp.json()
-                            ids = [m.get("id") for m in (data.get("data") or []) if m.get("id")]
-                            if not ids:
+                            items = data if isinstance(data, list) else (data.get("data") or [])
+                            ids = [m.get("id") for m in items if isinstance(m, dict) and m.get("id")]
+                            if not ids and isinstance(data, dict):
                                 ids = [
                                     m.get("name") or m.get("model")
                                     for m in (data.get("models") or [])

scripts/claim_ownerless.py

@@ -27,12 +27,18 @@ def claim_json_entries(entries, owner):
     return count
 
 
+def owner_arg(argv):
+    if len(argv) < 2 or not argv[1].strip():
+        return None
+    return argv[1].strip()
+
+
 def main():
-    if len(sys.argv) < 2:
+    owner = owner_arg(sys.argv)
+    if not owner:
         print("Usage: python scripts/claim_ownerless.py <username>")
         sys.exit(1)
 
-    owner = sys.argv[1]
     print(f"Claiming all ownerless data for: {owner}\n")
 
     # 1. Memories (JSON files)

scripts/odysseus-gallery

@@ -38,23 +38,27 @@ def _preview_text(value, limit: int = 200) -> str:
     return text[:limit]
 
 
+def _text_field(value) -> str:
+    return value if isinstance(value, str) else ""
+
+
 def _serialize_image(i: "GalleryImage") -> dict:
     return {
         "id": i.id,
-        "filename": i.filename,
+        "filename": _text_field(i.filename),
         "prompt": _preview_text(i.prompt),
-        "model": i.model or "",
-        "size": i.size or "",
-        "tags": i.tags or "",
+        "model": _text_field(i.model),
+        "size": _text_field(i.size),
+        "tags": _text_field(i.tags),
         "favorite": bool(i.favorite),
-        "album_id": i.album_id or "",
-        "session_id": i.session_id or "",
+        "album_id": _text_field(i.album_id),
+        "session_id": _text_field(i.session_id),
         "width": i.width,
         "height": i.height,
         "file_size": i.file_size,
         "taken_at": i.taken_at.isoformat() if i.taken_at else "",
-        "camera_make": i.camera_make or "",
-        "camera_model": i.camera_model or "",
+        "camera_make": _text_field(i.camera_make),
+        "camera_model": _text_field(i.camera_model),
         "created_at": i.created_at.isoformat() if i.created_at else "",
     }
 
@@ -93,11 +97,11 @@ def cmd_show(args):
         if not i:
             fail(f"no image with id {args.id!r}")
         out = _serialize_image(i)
-        out["prompt_full"] = i.prompt or ""
-        out["ai_tags"] = i.ai_tags or ""
+        out["prompt_full"] = _text_field(i.prompt)
+        out["ai_tags"] = _text_field(i.ai_tags)
         out["gps_lat"] = i.gps_lat or ""
         out["gps_lng"] = i.gps_lng or ""
-        out["file_hash"] = i.file_hash or ""
+        out["file_hash"] = _text_field(i.file_hash)
         emit(out, args)
     finally:
         db.close()

scripts/odysseus-mail

@@ -108,6 +108,8 @@ def _q(name: str) -> str:
 
 
 def _split_recipients(value: str) -> list[str]:
+    if not isinstance(value, str):
+        return []
     return [r.strip() for r in (value or "").split(",") if r.strip()]
 
 

scripts/odysseus-notes

@@ -36,7 +36,9 @@ def _load_items(raw) -> list:
         items = json.loads(raw)
     except (TypeError, json.JSONDecodeError):
         return []
-    return items if isinstance(items, list) else []
+    if not isinstance(items, list):
+        return []
+    return [item for item in items if isinstance(item, dict)]
 
 
 def _serialize(n: "Note") -> dict:

services/hwfit/data/hf_models.json

@@ -5113,8 +5113,8 @@
  {
   "name": "deepseek-ai/DeepSeek-V4-Flash",
   "provider": "deepseek-ai",
-  "parameter_count": "284B",
-  "parameters_raw": 284000000000,
+  "parameter_count": "158.1B",
+  "parameters_raw": 158069433298,
   "active_parameters": 13000000000,
   "is_moe": true,
   "min_ram_gb": 200.0,
@@ -5130,15 +5130,40 @@
   ],
   "pipeline_tag": "text-generation",
   "architecture": "deepseek_v4_moe",
-  "hf_downloads": 3542202,
-  "hf_likes": 0,
-  "release_date": "2026-05-15"
+  "hf_downloads": 1882337,
+  "hf_likes": 1651,
+  "release_date": "2026-06-22"
+ },
+ {
+  "name": "deepseek-ai/DeepSeek-V4-Flash-DSpark",
+  "provider": "deepseek-ai",
+  "parameter_count": "165.3B",
+  "parameters_raw": 165265454782,
+  "active_parameters": 13000000000,
+  "is_moe": true,
+  "active_experts": 6,
+  "min_ram_gb": 170.0,
+  "recommended_ram_gb": 250.0,
+  "min_vram_gb": 165.0,
+  "quantization": "FP8-Mixed",
+  "context_length": 1000000,
+  "use_case": "General-purpose reasoning, long-context",
+  "capabilities": [
+   "long_context",
+   "reasoning",
+   "moe"
+  ],
+  "pipeline_tag": "text-generation",
+  "architecture": "deepseek_v4_moe",
+  "hf_downloads": 4446,
+  "hf_likes": 107,
+  "release_date": "2026-06-27"
  },
  {
   "name": "deepseek-ai/DeepSeek-V4-Flash-Base",
   "provider": "deepseek-ai",
-  "parameter_count": "284B",
-  "parameters_raw": 284000000000,
+  "parameter_count": "292.0B",
+  "parameters_raw": 292021347282,
   "active_parameters": 13000000000,
   "is_moe": true,
   "min_ram_gb": 290.0,
@@ -5153,15 +5178,15 @@
   ],
   "pipeline_tag": "text-generation",
   "architecture": "deepseek_v4_moe",
-  "hf_downloads": 0,
-  "hf_likes": 0,
-  "release_date": "2026-05-15"
+  "hf_downloads": 76030,
+  "hf_likes": 256,
+  "release_date": "2026-04-27"
  },
  {
   "name": "deepseek-ai/DeepSeek-V4-Pro",
   "provider": "deepseek-ai",
-  "parameter_count": "1.6T",
-  "parameters_raw": 1600000000000,
+  "parameter_count": "861.6B",
+  "parameters_raw": 861608274846,
   "active_parameters": 49000000000,
   "is_moe": true,
   "min_ram_gb": 1100.0,
@@ -5177,15 +5202,40 @@
   ],
   "pipeline_tag": "text-generation",
   "architecture": "deepseek_v4_moe",
-  "hf_downloads": 0,
-  "hf_likes": 0,
-  "release_date": "2026-05-15"
+  "hf_downloads": 1154610,
+  "hf_likes": 5118,
+  "release_date": "2026-06-22"
+ },
+ {
+  "name": "deepseek-ai/DeepSeek-V4-Pro-DSpark",
+  "provider": "deepseek-ai",
+  "parameter_count": "889.5B",
+  "parameters_raw": 889484881098,
+  "active_parameters": 49000000000,
+  "is_moe": true,
+  "active_experts": 6,
+  "min_ram_gb": 900.0,
+  "recommended_ram_gb": 1250.0,
+  "min_vram_gb": 890.0,
+  "quantization": "FP8-Mixed",
+  "context_length": 1000000,
+  "use_case": "Flagship reasoning, long-context",
+  "capabilities": [
+   "long_context",
+   "reasoning",
+   "moe"
+  ],
+  "pipeline_tag": "text-generation",
+  "architecture": "deepseek_v4_moe",
+  "hf_downloads": 6939,
+  "hf_likes": 241,
+  "release_date": "2026-06-27"
  },
  {
   "name": "deepseek-ai/DeepSeek-V4-Pro-Base",
   "provider": "deepseek-ai",
   "parameter_count": "1.6T",
-  "parameters_raw": 1600000000000,
+  "parameters_raw": 1600790440862,
   "active_parameters": 49000000000,
   "is_moe": true,
   "min_ram_gb": 1700.0,
@@ -5200,9 +5250,9 @@
   ],
   "pipeline_tag": "text-generation",
   "architecture": "deepseek_v4_moe",
-  "hf_downloads": 0,
-  "hf_likes": 0,
-  "release_date": "2026-05-15"
+  "hf_downloads": 25387,
+  "hf_likes": 305,
+  "release_date": "2026-04-27"
  },
  {
   "name": "deepseek-ai/deepseek-coder-6.7b-base",
@@ -13308,6 +13358,106 @@
   "_discovered": true,
   "gguf_sources": []
  },
+ {
+  "name": "zai-org/GLM-5.2",
+  "provider": "zai-org",
+  "parameter_count": "753.3B",
+  "parameters_raw": 753329940480,
+  "min_ram_gb": 1510.0,
+  "recommended_ram_gb": 1800.0,
+  "min_vram_gb": 1510.0,
+  "quantization": "BF16",
+  "context_length": 1048576,
+  "use_case": "General purpose reasoning, coding, long-context",
+  "capabilities": [
+   "long_context",
+   "reasoning",
+   "coding",
+   "moe"
+  ],
+  "pipeline_tag": "text-generation",
+  "architecture": "glm_moe_dsa",
+  "hf_downloads": 142547,
+  "hf_likes": 2996,
+  "release_date": "2026-06-23",
+  "is_moe": true,
+  "active_experts": 8,
+  "gguf_sources": [
+   {
+    "repo": "unsloth/GLM-5.2-GGUF",
+    "provider": "unsloth",
+    "file": "UD-Q4_K_M/*.gguf",
+    "quant": "Q4_K_M"
+   }
+  ]
+ },
+ {
+  "name": "zai-org/GLM-5.2-FP8",
+  "provider": "zai-org",
+  "parameter_count": "753.4B",
+  "parameters_raw": 753375793584,
+  "min_ram_gb": 760.0,
+  "recommended_ram_gb": 900.0,
+  "min_vram_gb": 760.0,
+  "quantization": "FP8",
+  "context_length": 1048576,
+  "use_case": "General purpose reasoning, coding, long-context",
+  "capabilities": [
+   "long_context",
+   "reasoning",
+   "coding",
+   "moe"
+  ],
+  "pipeline_tag": "text-generation",
+  "architecture": "glm_moe_dsa",
+  "hf_downloads": 884226,
+  "hf_likes": 182,
+  "release_date": "2026-06-23",
+  "is_moe": true,
+  "active_experts": 8,
+  "gguf_sources": [
+   {
+    "repo": "unsloth/GLM-5.2-GGUF",
+    "provider": "unsloth",
+    "file": "UD-Q4_K_M/*.gguf",
+    "quant": "Q4_K_M"
+   }
+  ]
+ },
+ {
+  "name": "unsloth/GLM-5.2-GGUF",
+  "provider": "unsloth",
+  "parameter_count": "753.9B",
+  "parameters_raw": 753864139008,
+  "min_ram_gb": 452.0,
+  "recommended_ram_gb": 620.0,
+  "min_vram_gb": 452.0,
+  "quantization": "Q4_K_M",
+  "context_length": 1048576,
+  "use_case": "General purpose reasoning, coding, long-context (GGUF)",
+  "capabilities": [
+   "long_context",
+   "reasoning",
+   "coding",
+   "moe"
+  ],
+  "pipeline_tag": "text-generation",
+  "architecture": "glm-dsa",
+  "hf_downloads": 180394,
+  "hf_likes": 474,
+  "release_date": "2026-06-23",
+  "is_moe": true,
+  "active_experts": 8,
+  "is_gguf": true,
+  "gguf_sources": [
+   {
+    "repo": "unsloth/GLM-5.2-GGUF",
+    "provider": "unsloth",
+    "file": "UD-Q4_K_M/*.gguf",
+    "quant": "Q4_K_M"
+   }
+  ]
+ },
  {
   "name": "cyankiwi/Qwen3.5-35B-A3B-AWQ-4bit",
   "provider": "cyankiwi",
@@ -14059,6 +14209,138 @@
    "vision"
   ]
  },
+ {
+  "name": "google/gemma-4-12B-it",
+  "provider": "Google",
+  "parameter_count": "12.0B",
+  "parameters_raw": 12000000000,
+  "min_ram_gb": 8.5,
+  "recommended_ram_gb": 11.0,
+  "min_vram_gb": 7.5,
+  "quantization": "Q4_K_M",
+  "context_length": 131072,
+  "use_case": "General purpose, multimodal; unsloth/gemma-4-12B-it-GGUF Dynamic variants reduce VRAM from ~7.5 GB to ~5.5 GB",
+  "is_moe": false,
+  "num_experts": null,
+  "active_experts": null,
+  "active_parameters": null,
+  "architecture": "gemma4",
+  "pipeline_tag": "image-text-to-text",
+  "release_date": "2026-04-01",
+  "gguf_sources": [
+   {
+    "repo": "unsloth/gemma-4-12B-it-GGUF",
+    "provider": "unsloth"
+   }
+  ],
+  "capabilities": [
+   "vision"
+  ]
+ },
+ {
+  "name": "google/gemma-4-12B-it-qat-int4",
+  "provider": "Google",
+  "parameter_count": "12.0B",
+  "parameters_raw": 12000000000,
+  "min_ram_gb": 8.0,
+  "recommended_ram_gb": 9.5,
+  "min_vram_gb": 6.5,
+  "quantization": "QAT-INT4",
+  "context_length": 131072,
+  "use_case": "General purpose, multimodal (QAT quantization-aware training — higher quality than post-train INT4; vLLM native; no GGUF)",
+  "is_moe": false,
+  "num_experts": null,
+  "active_experts": null,
+  "active_parameters": null,
+  "architecture": "gemma4",
+  "pipeline_tag": "image-text-to-text",
+  "release_date": "2026-04-01",
+  "gguf_sources": [],
+  "capabilities": [
+   "vision"
+  ]
+ },
+ {
+  "name": "google/gemma-4-12B-it-qat-int8",
+  "provider": "Google",
+  "parameter_count": "12.0B",
+  "parameters_raw": 12000000000,
+  "min_ram_gb": 15.0,
+  "recommended_ram_gb": 20.0,
+  "min_vram_gb": 13.5,
+  "quantization": "QAT-INT8",
+  "context_length": 131072,
+  "use_case": "General purpose, multimodal (QAT INT8 — highest quality, 2x VRAM of QAT-INT4; vLLM native; no GGUF)",
+  "is_moe": false,
+  "num_experts": null,
+  "active_experts": null,
+  "active_parameters": null,
+  "architecture": "gemma4",
+  "pipeline_tag": "image-text-to-text",
+  "release_date": "2026-04-01",
+  "gguf_sources": [],
+  "capabilities": [
+   "vision"
+  ]
+ },
+ {
+  "name": "google/gemma-4-12B-it-qat-q4_0-gguf",
+  "provider": "Google",
+  "parameter_count": "12.0B",
+  "parameters_raw": 12000000000,
+  "min_ram_gb": 8.5,
+  "recommended_ram_gb": 11.0,
+  "min_vram_gb": 7.5,
+  "quantization": "QAT-INT4",
+  "context_length": 262144,
+  "use_case": "General purpose, multimodal (vision + audio); official Google QAT int4 GGUF — near-bf16 quality at int4 size, served on llama.cpp/Ollama with CPU offload",
+  "is_moe": false,
+  "num_experts": null,
+  "active_experts": null,
+  "active_parameters": null,
+  "architecture": "gemma4",
+  "pipeline_tag": "image-text-to-text",
+  "release_date": "2026-04-01",
+  "gguf_sources": [
+   {
+    "repo": "google/gemma-4-12B-it-qat-q4_0-gguf",
+    "provider": "Google",
+    "file": "gemma-4-12b-it-qat-q4_0.gguf"
+   }
+  ],
+  "capabilities": [
+   "vision",
+   "audio"
+  ]
+ },
+ {
+  "name": "google/gemma-4-26B-A4B-it-qat-q4_0-gguf",
+  "provider": "Google",
+  "parameter_count": "25.2B",
+  "parameters_raw": 25200000000,
+  "min_ram_gb": 14.4,
+  "recommended_ram_gb": 18.0,
+  "min_vram_gb": 14.4,
+  "quantization": "QAT-INT4",
+  "context_length": 262144,
+  "use_case": "High-throughput, multimodal MoE (3.8B active); official Google QAT int4 GGUF — near-bf16 quality at int4 size, served on llama.cpp with CPU offload",
+  "is_moe": true,
+  "num_experts": null,
+  "active_experts": null,
+  "active_parameters": 3800000000,
+  "architecture": "gemma4",
+  "pipeline_tag": "image-text-to-text",
+  "release_date": "2026-04-01",
+  "gguf_sources": [
+   {
+    "repo": "google/gemma-4-26B-A4B-it-qat-q4_0-gguf",
+    "provider": "Google"
+   }
+  ],
+  "capabilities": [
+   "vision"
+  ]
+ },
  {
   "name": "google/gemma-4-31B-it",
   "provider": "Google",
@@ -18823,6 +19105,54 @@
   "active_experts": 8,
   "active_parameters": 13600000000
  },
+ {
+  "name": "MiniMaxAI/MiniMax-M3",
+  "provider": "MiniMaxAI",
+  "parameter_count": "427.0B",
+  "parameters_raw": 427040140160,
+  "min_ram_gb": 855.0,
+  "recommended_ram_gb": 1025.0,
+  "min_vram_gb": 855.0,
+  "quantization": "BF16",
+  "context_length": 1000000,
+  "use_case": "Vision, chat, coding, agentic tool use",
+  "capabilities": [
+   "vision",
+   "tool_use",
+   "coding",
+   "moe"
+  ],
+  "pipeline_tag": "image-text-to-text",
+  "architecture": "minimax_m3_vl",
+  "hf_downloads": 192311,
+  "hf_likes": 1267,
+  "release_date": "2026-06-23",
+  "is_moe": true
+ },
+ {
+  "name": "MiniMaxAI/MiniMax-M3-MXFP8",
+  "provider": "MiniMaxAI",
+  "parameter_count": "440.3B",
+  "parameters_raw": 440279845760,
+  "min_ram_gb": 445.0,
+  "recommended_ram_gb": 560.0,
+  "min_vram_gb": 445.0,
+  "quantization": "MXFP8",
+  "context_length": 1000000,
+  "use_case": "Vision, chat, coding, agentic tool use",
+  "capabilities": [
+   "vision",
+   "tool_use",
+   "coding",
+   "moe"
+  ],
+  "pipeline_tag": "image-text-to-text",
+  "architecture": "minimax_m3_vl",
+  "hf_downloads": 572278,
+  "hf_likes": 43,
+  "release_date": "2026-06-15",
+  "is_moe": true
+ },
  {
   "name": "bullerwins/MiniMax-M2.7-REAP-172B-fp8",
   "provider": "bullerwins",

services/hwfit/fit.py

@@ -9,7 +9,7 @@ from services.hwfit.models import (
 GPU_BANDWIDTH = {
     "5090": 1792, "5080": 960, "5070 ti": 896, "5070": 672, "5060 ti": 448, "5060": 256,
     "4090": 1008, "4080 super": 736, "4080": 717, "4070 ti super": 672, "4070 ti": 504, "4070 super": 504, "4070": 504, "4060 ti": 288, "4060": 272,
-    "3090 ti": 1008, "3090": 936, "3080 ti": 912, "3080": 760, "3070 ti": 608, "3070": 448, "3060 ti": 448, "3060": 360,
+    "3090 ti": 1008, "3090": 936, "3080 ti": 912, "3080": 760, "3070 ti": 608, "3070": 448, "3060 ti": 448, "3060": 360, "3050 ti": 192, "3050": 224,
     "2080 ti": 616, "2080 super": 496, "2080": 448, "2070 super": 448, "2070": 448, "2060 super": 448, "2060": 336,
     "1660 ti": 288, "1660 super": 336, "1660": 192, "1650 super": 192, "1650": 128,
     "h100 sxm": 3350, "h100": 2039, "h200": 4800, "a100 sxm": 2039, "a100": 1555,
@@ -168,6 +168,19 @@ def _canonical_cpu_backend(system):
     return "cpu_x86"
 
 
+def _is_mlx_model(model, native_q=None):
+    name = (model.get("name") or "").lower()
+    provider = (model.get("provider") or "").lower()
+    fmt = (model.get("format") or "").lower()
+    q = (native_q if native_q is not None else _native_quant(model)).lower()
+    return (
+        q.startswith("mlx-")
+        or provider == "mlx-community"
+        or fmt == "mlx"
+        or name.startswith("mlx-community/")
+    )
+
+
 def _estimate_speed(model, quant, run_mode, system, offload_frac=0.0):
     """Estimate tok/s. Uses active params for MoE (only active experts run per token).
 
@@ -313,6 +326,22 @@ def _fit_score(required, available):
     return 50
 
 
+def _is_unified_memory_system(system):
+    backend = (system.get("backend") or "").lower()
+    return bool(system.get("unified_memory")) or backend in ("metal", "mps", "apple")
+
+
+def _fit_level_for_budget(required_gb, budget_gb):
+    if not required_gb or not budget_gb or required_gb > budget_gb:
+        return "too_tight"
+    ratio = required_gb / budget_gb
+    if ratio <= 0.50:
+        return "perfect"
+    if ratio <= 0.78:
+        return "good"
+    return "marginal"
+
+
 def _context_score(ctx, use_case):
     target = CONTEXT_TARGET.get(use_case, 4096)
     if ctx >= target:
@@ -516,21 +545,42 @@ def analyze_model(model, system, target_quant=None, scoring_use_case=None, targe
     run_mode, quant, fit_ctx, required_gb = result
 
     # Determine fit level
-    budget = effective_vram if run_mode == "gpu" else available_ram
+    unified_memory = _is_unified_memory_system(system)
+    total_ram = system.get("total_ram_gb") or available_ram
+    unified_budget = max(total_ram or 0, available_ram or 0, effective_vram or 0)
+    budget = unified_budget if unified_memory else (effective_vram if run_mode == "gpu" else available_ram)
     if required_gb > budget:
         return None
     if run_mode == "gpu":
-        rec = model.get("recommended_ram_gb") or required_gb
-        if rec <= gpu_vram:
-            fit_level = "perfect"
-        elif gpu_vram >= required_gb * 1.2:
-            fit_level = "good"
+        if unified_memory:
+            fit_level = _fit_level_for_budget(required_gb, budget)
         else:
-            fit_level = "marginal"
+            # GPU-only fit must leave real allocator/KV/runtime headroom. The
+            # old check used recommended_ram_gb (or required_gb as a fallback),
+            # which made any model that barely fit VRAM read as "perfect".
+            # On CUDA/vLLM/SGLang that is misleading: 141 GB on a 160 GB box is
+            # runnable, but not a comfortable perfect fit.
+            if gpu_vram >= required_gb * 1.50:
+                fit_level = "perfect"
+            elif gpu_vram >= required_gb * 1.2:
+                fit_level = "good"
+            else:
+                fit_level = "marginal"
     elif run_mode == "cpu_offload":
-        fit_level = "good" if available_ram >= required_gb * 1.2 else "marginal"
+        fit_level = _fit_level_for_budget(required_gb, budget)
+        if fit_level == "perfect":
+            fit_level = "good"
     else:
-        fit_level = "marginal"
+        fit_level = _fit_level_for_budget(required_gb, budget)
+        if fit_level == "too_tight":
+            fit_level = "marginal"
+
+    # Rows that comfortably fit in a huge RAM/unified-memory pool should not all
+    # look "marginal"; that made 1B-70B CPU/Ollama rows orange on 256 GB systems.
+    if fit_level == "marginal" and budget and required_gb <= budget * 0.78:
+        fit_level = "good"
+    if fit_level == "good" and budget and required_gb <= budget * 0.50 and run_mode != "cpu_offload":
+        fit_level = "perfect"
 
     # Fraction of the model that spills to CPU RAM (drives the offload speed
     # model). When offloading, anything beyond the GPU's VRAM lives in system RAM.
@@ -621,6 +671,40 @@ SORT_KEYS = {
 }
 
 
+def _search_blob(*parts):
+    text = " ".join(str(p or "") for p in parts).lower()
+    compact = re.sub(r"[^a-z0-9]+", "", text)
+    spaced = re.sub(r"[^a-z0-9]+", " ", text).strip()
+    return f"{text} {spaced} {compact}"
+
+
+def _matches_search(model, search):
+    terms = [t for t in re.split(r"\s+", (search or "").strip().lower()) if t]
+    if not terms:
+        return True
+    blob = _search_blob(
+        model.get("name"),
+        model.get("provider"),
+        model.get("architecture"),
+        model.get("quantization"),
+        model.get("format"),
+        model.get("parameter_count"),
+    )
+    for term in terms:
+        norm = re.sub(r"[^a-z0-9]+", "", term)
+        if term not in blob and (not norm or norm not in blob):
+            if re.fullmatch(r"\d+(?:\.\d+)?b?", term):
+                try:
+                    wanted = float(term.rstrip("b"))
+                    actual = params_b(model)
+                except (TypeError, ValueError):
+                    actual = 0
+                if wanted > 0 and actual > 0 and abs(actual - wanted) <= max(5.0, wanted * 0.08):
+                    continue
+            return False
+    return True
+
+
 def rank_models(system, use_case=None, limit=50, search=None, sort="score", quant=None, target_context=None, fit_only=False):
     """Rank all models against detected hardware. Returns sorted list of fit results.
 
@@ -693,10 +777,11 @@ def rank_models(system, use_case=None, limit=50, search=None, sort="score", quan
 
     for m in models:
         native_q = _native_quant(m)
+        is_mlx = _is_mlx_model(m, native_q)
 
-        # MLX needs the mlx_lm runtime, which Odysseus does not generate serve
-        # commands for. Hide it on every backend, including Metal.
-        if native_q.startswith("mlx-") or "mlx" in (m.get("name") or "").lower():
+        # MLX is Apple Silicon-only. It should never appear on CUDA/ROCm/CPU,
+        # but it is first-class on Metal where mlx_lm.server can serve it.
+        if is_mlx and not apple_silicon:
             continue
 
         # ROCm support for vLLM/SGLang quantized safetensors is too brittle to
@@ -723,7 +808,7 @@ def rank_models(system, use_case=None, limit=50, search=None, sort="score", quan
         # Windows is the same: Odysseus only supports llama.cpp on Windows,
         # which requires GGUF. vLLM/SGLang are explicitly blocked, so AWQ/GPTQ
         # models without a GGUF source are unservable there.
-        if (apple_silicon or consumer_amd or is_windows) and not (m.get("is_gguf") or m.get("gguf_sources")):
+        if (apple_silicon or consumer_amd or is_windows) and not is_mlx and not (m.get("is_gguf") or m.get("gguf_sources")):
             continue
 
         # Format filter: AWQ tab -> only AWQ models, FP4 tab -> FP4-family models, etc.
@@ -741,13 +826,26 @@ def rank_models(system, use_case=None, limit=50, search=None, sort="score", quan
             if quant in ("INT4", "INT8", "W4A16", "W8A8", "W8A16") and native_q != quant:
                 continue
 
-        if search:
-            name = m.get("name", "").lower()
-            provider = m.get("provider", "").lower()
-            if search.lower() not in name and search.lower() not in provider:
-                continue
+        if search and not _matches_search(m, search):
+            continue
 
-        result = analyze_model(m, system, target_quant=quant, scoring_use_case=(use_case or "general"), target_context=target_context)
+        model_quant = quant
+        # UI "Q4" means the user's looking for a 4-bit fit. On multi-GPU
+        # CUDA/vLLM/SGLang boxes, many practical 4-bit models are native AWQ
+        # safetensors, not GGUF Q4_K_M. If we pass Q4_K_M into a prequantized
+        # AWQ row, analyze_model correctly rejects it as the wrong serving
+        # format, but the result is confusing: highlighting Quant/Q4 hides the
+        # exact AWQ rows the machine is built to run. Treat Q4 as AWQ-4bit for
+        # native AWQ rows only on accelerator servers that can serve them.
+        if (
+            quant == "Q4_K_M"
+            and system.get("gpu_count", 1) >= 2
+            and not (apple_silicon or consumer_amd or is_windows)
+            and native_q == "AWQ-4bit"
+        ):
+            model_quant = native_q
+
+        result = analyze_model(m, system, target_quant=model_quant, scoring_use_case=(use_case or "general"), target_context=target_context)
         if result is None:
             continue
 

services/hwfit/hardware.py

@@ -282,7 +282,17 @@ def _detect_amd():
             "gpus": cards,
             "gpu_groups": groups,
             "homogeneous": len(groups) <= 1,
-            "backend": "rocm",
+            # Pick the actual runtime label: ROCm/HIP only when its
+            # toolchain is installed, otherwise Vulkan if vulkaninfo is
+            # present (mesa RADV works fine on RDNA/CDNA when ROCm
+            # packages are absent — see Strix Halo where ROCm support
+            # is still backporting). Reporting "rocm" on a Vulkan-only
+            # host misleads downstream env-var pinning
+            # (HIP_VISIBLE_DEVICES is a no-op there).
+            "backend": (
+                "rocm" if (_run(["which", "rocminfo"]) or _run(["which", "hipconfig"]))
+                else ("vulkan" if _run(["which", "vulkaninfo"]) else "rocm")
+            ),
             "unified_memory": is_apu,
             # AMD ISA/family so downstream can tell datacenter Instinct (CDNA,
             # where vLLM/SGLang run AWQ/GPTQ reliably) from consumer Radeon
@@ -528,6 +538,32 @@ def _powershell_exe():
     path so we don't depend on a particular PATH ordering."""
     return shutil.which("pwsh") or shutil.which("powershell") or "powershell"
 
+def _powershell_encoded_for_ssh(script: str):
+    """Run a PowerShell script on a remote Windows host over SSH.
+
+    Nested quotes in powershell -Command break when passed through Windows
+    OpenSSH's cmd wrapper; -EncodedCommand avoids that.
+    """
+    import base64
+    encoded = base64.b64encode(script.encode("utf-16-le")).decode("ascii")
+    return _run(f"powershell -NoProfile -EncodedCommand {encoded}")
+
+
+def _probe_remote_platform():
+    """Best-effort OS detection over SSH when the caller didn't pass platform."""
+    out = _run("echo %OS%")
+    if out and "Windows_NT" in out:
+        return "windows"
+    uname = (_run(["uname", "-s"]) or "").strip().lower()
+    if uname == "darwin":
+        # Mac uses the linux detection path (_detect_apple_silicon over SSH).
+        return "linux"
+    if uname == "linux":
+        out = _run("test -d /data/data/com.termux && echo termux || echo linux")
+        if out and "termux" in out:
+            return "termux"
+    return "linux"
+
 
 def _detect_windows():
     """Detect Windows hardware via PowerShell/WMI.
@@ -590,9 +626,8 @@ def _detect_windows():
     """
     )
     if _remote_host:
-        # Remote: ship a single command string over SSH. The remote shell parses
-        # the quoting; PowerShell on the far side runs the -Command payload.
-        out = _run(f'powershell -Command "{ps_cmd}"')
+        # Remote: use -EncodedCommand so OpenSSH/cmd quoting does not break the script.
+        out = _powershell_encoded_for_ssh(ps_cmd.strip())
     else:
         # Local: pass a LIST argv straight to subprocess so the OS hands ps_cmd
         # to PowerShell verbatim — no fragile string-level quote escaping. Prefer
@@ -763,6 +798,13 @@ def detect_system(host="", ssh_port="", platform="", fresh=False):
     """
     global _remote_host, _remote_port, _remote_platform
 
+    if host and not platform:
+        _remote_host = host
+        _remote_port = ssh_port or None
+        platform = _probe_remote_platform()
+        _remote_host = None
+        _remote_port = None
+
     cache_key = _cache_key(host, ssh_port, platform)
     now = time.time()
     if not fresh and cache_key in _cache_by_host:
@@ -783,8 +825,8 @@ def detect_system(host="", ssh_port="", platform="", fresh=False):
             _remote_platform = None
             _cache_by_host[cache_key] = (now, result)
             return result
-        # If Windows detection failed, return error
-        result = {"error": f"Cannot connect to {host}", "host": host}
+        # SSH may work while the PowerShell hardware probe still fails.
+        result = {"error": f"Windows hardware probe failed for {host}", "host": host}
         _remote_host = None
         _remote_platform = None
         _cache_by_host[cache_key] = (now, result)

services/hwfit/hf_discovery.py

@@ -0,0 +1,374 @@
+import json
+import os
+import re
+import time
+import urllib.parse
+import urllib.request
+from email.utils import parsedate_to_datetime
+from pathlib import Path
+
+from src.constants import DATA_DIR
+
+
+HF_COLLECTIONS_URL = "https://huggingface.co/api/collections"
+HW_FIT_CACHE_DIR = Path(DATA_DIR) / "hwfit"
+MLX_COMMUNITY_CACHE = HW_FIT_CACHE_DIR / "mlx_community_models.json"
+HF_COLLECTION_MODELS_CACHE = HW_FIT_CACHE_DIR / "hf_collection_models.json"
+HF_COLLECTION_TTL_SECONDS = 24 * 3600
+
+
+HF_COLLECTION_SOURCES = (
+    {
+        "key": "mlx_community",
+        "owner": "mlx-community",
+        "provider": "mlx-community",
+        "repo_prefix": "mlx-community/",
+        "mlx_only": True,
+    },
+    {
+        "key": "zai_org",
+        "owner": "zai-org",
+        "provider": "zai-org",
+    },
+    {
+        "key": "deepseek_ai",
+        "owner": "deepseek-ai",
+        "provider": "deepseek-ai",
+    },
+    {
+        "key": "minimax_ai",
+        "owner": "MiniMaxAI",
+        "provider": "MiniMaxAI",
+    },
+    {
+        "key": "qwen",
+        "owner": "Qwen",
+        "provider": "Qwen",
+    },
+    {
+        "key": "stepfun_ai",
+        "owner": "stepfun-ai",
+        "provider": "stepfun-ai",
+    },
+    {
+        "key": "google",
+        "owner": "google",
+        "provider": "google",
+    },
+    {
+        "key": "openai",
+        "owner": "openai",
+        "provider": "openai",
+    },
+    {
+        "key": "mistralai",
+        "owner": "mistralai",
+        "provider": "mistralai",
+    },
+    {
+        "key": "meta_llama",
+        "owner": "meta-llama",
+        "provider": "meta-llama",
+    },
+    {
+        "key": "nousresearch",
+        "owner": "NousResearch",
+        "provider": "NousResearch",
+    },
+    {
+        "key": "moonshotai",
+        "owner": "moonshotai",
+        "provider": "moonshotai",
+    },
+    {
+        "key": "mllama",
+        "owner": "mllama",
+        "provider": "mllama",
+    },
+)
+
+
+def _format_params(raw):
+    try:
+        n = int(raw or 0)
+    except (TypeError, ValueError):
+        n = 0
+    if n <= 0:
+        return "", 0
+    if n >= 1_000_000_000_000:
+        return f"{n / 1_000_000_000_000:.3g}T", n
+    if n >= 1_000_000_000:
+        return f"{n / 1_000_000_000:.4g}B", n
+    if n >= 1_000_000:
+        return f"{n / 1_000_000:.4g}M", n
+    if n >= 1_000:
+        return f"{n / 1_000:.4g}K", n
+    return str(n), n
+
+
+def _parse_params_from_name(repo_id):
+    name = (repo_id or "").rsplit("/", 1)[-1]
+    active = None
+    m_active = re.search(r"[-_][Aa](\d+(?:\.\d+)?)[Bb](?![a-zA-Z])", name)
+    if m_active:
+        active = int(float(m_active.group(1)) * 1_000_000_000)
+        name = name[: m_active.start()] + name[m_active.end() :]
+    total = None
+    for m in re.finditer(r"(\d+(?:\.\d+)?)[Bb](?![a-zA-Z])", name):
+        total = int(float(m.group(1)) * 1_000_000_000)
+        break
+    if total is None:
+        for m in re.finditer(r"(\d+(?:\.\d+)?)[Mm](?![a-zA-Z])", name):
+            total = int(float(m.group(1)) * 1_000_000)
+            break
+    return total or 0, active
+
+
+def _infer_quant(repo_id, source):
+    name = (repo_id or "").rsplit("/", 1)[-1].lower()
+    if source.get("mlx_only"):
+        if "8bit" in name or "8-bit" in name:
+            return "mlx-8bit"
+        if "6bit" in name or "6-bit" in name:
+            return "mlx-6bit"
+        if "5bit" in name or "5-bit" in name:
+            return "mlx-5bit"
+        if "3bit" in name or "3-bit" in name:
+            return "mlx-3bit"
+        if re.search(r"(^|[-_/])bf16($|[-_/])", name):
+            return "BF16"
+        return "mlx-4bit"
+    if "awq" in name and ("8bit" in name or "8-bit" in name or "int8" in name):
+        return "AWQ-8bit"
+    if "awq" in name or "4bit" in name or "4-bit" in name:
+        return "AWQ-4bit"
+    if "gptq" in name and ("8bit" in name or "8-bit" in name or "int8" in name):
+        return "GPTQ-Int8"
+    if "gptq" in name:
+        return "GPTQ-Int4"
+    if "mxfp4" in name or "nvfp4" in name or re.search(r"(^|[-_/])fp4($|[-_/])", name):
+        return "FP4-MoE-Mixed"
+    if "mxfp8" in name or re.search(r"(^|[-_/])fp8($|[-_/])", name):
+        return "FP8-Mixed"
+    if "gguf" in name or "q4_k" in name or "q4-k" in name:
+        return "Q4_K_M"
+    if re.search(r"(^|[-_/])bf16($|[-_/])", name):
+        return "BF16"
+    return "BF16"
+
+
+def _quant_bytes_per_param(quant):
+    return {
+        "BF16": 2.2,
+        "FP8": 1.15,
+        "FP8-Mixed": 1.15,
+        "FP4-MoE-Mixed": 0.62,
+        "AWQ-4bit": 0.62,
+        "AWQ-8bit": 1.15,
+        "GPTQ-Int4": 0.62,
+        "GPTQ-Int8": 1.15,
+        "Q4_K_M": 0.62,
+        "mlx-8bit": 1.25,
+        "mlx-6bit": 0.95,
+        "mlx-5bit": 0.82,
+        "mlx-4bit": 0.70,
+        "mlx-3bit": 0.55,
+    }.get(quant, 2.2)
+
+
+def _infer_context(repo_id, pipeline_tag):
+    text = f"{repo_id or ''} {pipeline_tag or ''}".lower()
+    if any(k in text for k in ("whisper", "asr", "speech-recognition", "tts", "audio", "image", "video", "diffusion")):
+        return 4096
+    if any(k in text for k in ("glm-5.2", "deepseek-v4", "minimax-m3")):
+        return 1_000_000
+    if any(k in text for k in ("qwen3", "glm", "deepseek", "minimax")):
+        return 32768
+    return 32768
+
+
+def _infer_use_case(repo_id, pipeline_tag):
+    text = f"{repo_id or ''} {pipeline_tag or ''}".lower()
+    if any(k in text for k in ("whisper", "asr", "speech-recognition", "transcrib")):
+        return "stt"
+    if any(k in text for k in ("tts", "text-to-speech", "kokoro", "audio")):
+        return "tts"
+    if any(k in text for k in ("image-text", "vision", "vlm", "vl-", "ocr", "multimodal")):
+        return "multimodal"
+    if any(k in text for k in ("code", "coder")):
+        return "coding"
+    if any(k in text for k in ("reason", "thinking", "thinker", "r1")):
+        return "reasoning"
+    return "general"
+
+
+def _entry_from_collection_item(collection, item, source):
+    repo_id = item.get("id") or ""
+    if item.get("type") != "model" or not repo_id:
+        return None
+    repo_prefix = source.get("repo_prefix")
+    if repo_prefix and not repo_id.startswith(repo_prefix):
+        return None
+    raw_params = item.get("numParameters") or 0
+    active = None
+    if not raw_params:
+        raw_params, active = _parse_params_from_name(repo_id)
+    param_label, raw_params = _format_params(raw_params)
+    if not raw_params:
+        return None
+
+    quant = _infer_quant(repo_id, source)
+    pipeline_tag = item.get("pipeline_tag") or ""
+    min_ram = round((raw_params / 1_000_000_000) * _quant_bytes_per_param(quant) + 0.8, 1)
+    last_modified = item.get("lastModified") or collection.get("lastUpdated") or ""
+    release_date = ""
+    if last_modified:
+        try:
+            release_date = parsedate_to_datetime(last_modified).date().isoformat()
+        except Exception:
+            release_date = str(last_modified)[:10]
+
+    entry = {
+        "name": repo_id,
+        "provider": source.get("provider") or repo_id.split("/", 1)[0],
+        "parameter_count": param_label,
+        "parameters_raw": raw_params,
+        "min_ram_gb": min_ram,
+        "recommended_ram_gb": round(min_ram * 1.3 + 0.5, 1),
+        "min_vram_gb": 0.0 if source.get("mlx_only") else min_ram,
+        "quantization": quant,
+        "context_length": _infer_context(repo_id, pipeline_tag),
+        "use_case": _infer_use_case(repo_id, pipeline_tag),
+        "capabilities": ["mlx"] if source.get("mlx_only") else ["vllm", "sglang"],
+        "pipeline_tag": pipeline_tag,
+        "architecture": "",
+        "hf_downloads": int(item.get("downloads") or 0),
+        "hf_likes": int(item.get("likes") or 0),
+        "release_date": release_date,
+        "format": "mlx" if source.get("mlx_only") else "safetensors",
+        "collection": collection.get("title") or "",
+        "description": collection.get("description") or "",
+        "_discovered": True,
+        "_source": "hf_collections",
+        "_source_owner": source.get("owner") or "",
+    }
+    if source.get("mlx_only"):
+        entry["mlx_only"] = True
+    if quant == "Q4_K_M":
+        entry["is_gguf"] = True
+        entry["format"] = "gguf"
+        entry["capabilities"] = ["llama.cpp"]
+    if active:
+        entry["is_moe"] = True
+        entry["active_parameters"] = active
+    return entry
+
+
+def _next_link(header):
+    if not header:
+        return None
+    m = re.search(r'<([^>]+)>;\s*rel="next"', header)
+    return m.group(1) if m else None
+
+
+def fetch_collection_models(source, timeout=20, max_pages=20):
+    params = urllib.parse.urlencode({
+        "owner": source["owner"],
+        "limit": "100",
+        "expand": "true",
+    })
+    url = f"{HF_COLLECTIONS_URL}?{params}"
+    models = {}
+    pages = 0
+    while url and pages < max_pages:
+        req = urllib.request.Request(url, headers={"User-Agent": "odysseus-hwfit/1.0"})
+        with urllib.request.urlopen(req, timeout=timeout) as resp:
+            payload = json.load(resp)
+            url = _next_link(resp.headers.get("Link"))
+        pages += 1
+        if not isinstance(payload, list):
+            break
+        for collection in payload:
+            if not isinstance(collection, dict):
+                continue
+            for item in collection.get("items") or []:
+                if not isinstance(item, dict):
+                    continue
+                entry = _entry_from_collection_item(collection, item, source)
+                if entry and entry["name"] not in models:
+                    models[entry["name"]] = entry
+    rows = list(models.values())
+    rows.sort(key=lambda x: (x.get("hf_downloads") or 0, x.get("release_date") or ""), reverse=True)
+    return rows
+
+
+def _load_cache(path):
+    try:
+        with path.open(encoding="utf-8") as f:
+            data = json.load(f)
+        rows = data.get("models") if isinstance(data, dict) else data
+        return rows if isinstance(rows, list) else []
+    except (OSError, ValueError):
+        return []
+
+
+def _write_cache(path, source, rows):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    payload = {
+        "source": source,
+        "fetched_at": int(time.time()),
+        "count": len(rows),
+        "models": rows,
+    }
+    tmp = path.with_suffix(".json.tmp")
+    tmp.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
+    os.replace(tmp, path)
+
+
+def load_cached_mlx_community_models():
+    return _load_cache(MLX_COMMUNITY_CACHE)
+
+
+def load_cached_hf_collection_models():
+    return _load_cache(HF_COLLECTION_MODELS_CACHE)
+
+
+def _cache_fresh(path):
+    try:
+        return (time.time() - path.stat().st_mtime) < HF_COLLECTION_TTL_SECONDS
+    except OSError:
+        return False
+
+
+def refresh_mlx_community_cache(force=False):
+    if not force and _cache_fresh(MLX_COMMUNITY_CACHE):
+        return load_cached_mlx_community_models()
+    source = next(s for s in HF_COLLECTION_SOURCES if s["key"] == "mlx_community")
+    rows = fetch_collection_models(source)
+    _write_cache(MLX_COMMUNITY_CACHE, "https://huggingface.co/mlx-community/collections", rows)
+    return rows
+
+
+def refresh_hf_collection_models_cache(force=False):
+    if not force and _cache_fresh(HF_COLLECTION_MODELS_CACHE):
+        return load_cached_hf_collection_models()
+    rows_by_name = {}
+    for source in HF_COLLECTION_SOURCES:
+        if source["key"] == "mlx_community":
+            continue
+        try:
+            for row in fetch_collection_models(source):
+                rows_by_name.setdefault(row["name"], row)
+        except Exception:
+            # Keep partial refreshes useful. A temporary DNS/provider issue for
+            # one brand should not invalidate the other cached collection rows.
+            continue
+    rows = sorted(
+        rows_by_name.values(),
+        key=lambda x: (x.get("hf_downloads") or 0, x.get("release_date") or ""),
+        reverse=True,
+    )
+    if rows:
+        _write_cache(HF_COLLECTION_MODELS_CACHE, "https://huggingface.co/collections", rows)
+        return rows
+    return load_cached_hf_collection_models()

services/hwfit/models.py

@@ -12,7 +12,8 @@ QUANT_BPP = {
     "Q4_K_M": 0.58, "Q4_0": 0.58, "Q3_K_M": 0.48, "Q2_K": 0.37,
     "AWQ-4bit": 0.50, "AWQ-8bit": 1.0,
     "GPTQ-Int4": 0.50, "GPTQ-Int8": 1.0,
-    "mlx-4bit": 0.55, "mlx-8bit": 1.0, "mlx-6bit": 0.75,
+    "QAT-INT4": 0.50, "QAT-INT8": 1.0,
+    "mlx-3bit": 0.42, "mlx-4bit": 0.55, "mlx-5bit": 0.65, "mlx-6bit": 0.75, "mlx-8bit": 1.0,
     # DeepSeek-V4-style mixed: MoE experts in FP4 (bulk), attention + non-
     # expert dense in FP8, embeddings/LM head in BF16. By weight count the
     # experts dominate so the effective BPP sits closer to FP4 than FP8.
@@ -30,7 +31,8 @@ QUANT_SPEED_MULT = {
     "Q4_K_M": 1.15, "Q4_0": 1.15, "Q3_K_M": 1.25, "Q2_K": 1.35,
     "AWQ-4bit": 1.2, "AWQ-8bit": 0.85,
     "GPTQ-Int4": 1.2, "GPTQ-Int8": 0.85,
-    "mlx-4bit": 1.15, "mlx-8bit": 0.85, "mlx-6bit": 1.0,
+    "QAT-INT4": 1.15, "QAT-INT8": 0.85,
+    "mlx-3bit": 1.25, "mlx-4bit": 1.15, "mlx-5bit": 1.05, "mlx-6bit": 1.0, "mlx-8bit": 0.85,
     "FP4-MoE-Mixed": 1.10,  # slightly slower than pure FP4 because of mixed-dtype dispatch
     "FP8-Mixed": 0.85,
 }
@@ -47,7 +49,11 @@ QUANT_QUALITY_PENALTY = {
     # penalty so FP8 wins when both fit. AWQ-4bit stays heavier.
     "AWQ": -1.0, "AWQ-4bit": -4.0, "AWQ-8bit": -1.0,
     "GPTQ": -1.0, "GPTQ-Int4": -4.0, "GPTQ-Int8": -1.0,
-    "mlx-4bit": -4.0, "mlx-8bit": -0.5, "mlx-6bit": -1.5,
+    # Quantization-aware training recovers most of the int4 quality loss, so a
+    # QAT-INT4 build lands far closer to bf16 than a post-training Q4/INT4
+    # (Google reports near-bf16 quality). Penalize it lightly, not like Q4_K_M.
+    "QAT-INT4": -1.0, "QAT-INT8": 0.0,
+    "mlx-3bit": -8.0, "mlx-4bit": -4.0, "mlx-5bit": -2.5, "mlx-6bit": -1.5, "mlx-8bit": -0.5,
     # DeepSeek-V4 mixed: only MoE experts at FP4 (the rest is FP8/BF16),
     # so the realized quality is much closer to FP8 than to pure FP4 —
     # the activation-sensitive layers stay high-precision. ~0 penalty.
@@ -63,7 +69,8 @@ QUANT_BYTES_PER_PARAM = {
     "Q4_K_M": 0.5, "Q4_0": 0.5, "Q3_K_M": 0.375, "Q2_K": 0.25,
     "AWQ-4bit": 0.5, "AWQ-8bit": 1.0,
     "GPTQ-Int4": 0.5, "GPTQ-Int8": 1.0,
-    "mlx-4bit": 0.5, "mlx-8bit": 1.0, "mlx-6bit": 0.75,
+    "QAT-INT4": 0.5, "QAT-INT8": 1.0,
+    "mlx-3bit": 0.375, "mlx-4bit": 0.5, "mlx-5bit": 0.625, "mlx-6bit": 0.75, "mlx-8bit": 1.0,
     "FP4-MoE-Mixed": 0.55,
     "FP8-Mixed": 1.0,
 }
@@ -74,13 +81,17 @@ PREQUANTIZED_PREFIXES = (
     "AWQ-", "GPTQ-", "mlx-", "FP8", "FP4", "NVFP4", "MXFP4", "NF4",
     "INT4", "INT8", "W4A16", "W8A8", "W8A16",
     "FP4-MoE-Mixed", "FP8-Mixed",
+    "QAT-",
 )
 
 
 def infer_quantization_from_name(name):
     n = (name or "").lower()
+    model_name = n.rsplit("/", 1)[-1]
     if "nvfp4" in n:
         return "NVFP4"
+    if re.search(r"(^|[-_/])bf16($|[-_/])", model_name):
+        return "BF16"
     if "mxfp4" in n:
         return "MXFP4"
     if re.search(r"(^|[-_/])nf4($|[-_/])", n):
@@ -98,8 +109,12 @@ def infer_quantization_from_name(name):
         return "AWQ-8bit" if is8 else "AWQ-4bit"
     if "gptq" in n:
         return "GPTQ-Int8" if is8 else "GPTQ-Int4"
-    if "mlx" in n:
-        if "6bit" in n:
+    if n.startswith("mlx-community/") or "mlx" in model_name:
+        if "3bit" in model_name:
+            return "mlx-3bit"
+        if "5bit" in model_name:
+            return "mlx-5bit"
+        if "6bit" in model_name:
             return "mlx-6bit"
         return "mlx-8bit" if is8 else "mlx-4bit"
     if "fp8" in n:
@@ -252,15 +267,75 @@ def infer_use_case(model):
 
 _models_cache = None
 
+def _load_model_file(path):
+    try:
+        with open(path, encoding="utf-8") as f:
+            loaded = json.load(f)
+            return loaded if isinstance(loaded, list) else []
+    except (FileNotFoundError, json.JSONDecodeError):
+        return []
+
+def reset_model_cache():
+    global _models_cache
+    _models_cache = None
+
+def refresh_dynamic_catalogs(force=False):
+    """Refresh API-backed model catalogs and invalidate the merged cache.
+
+    The bundled JSON files remain the offline fallback. Dynamic catalogs live
+    under DATA_DIR so runtime refreshes do not dirty the source tree.
+    """
+    from services.hwfit.hf_discovery import (
+        refresh_hf_collection_models_cache,
+        refresh_mlx_community_cache,
+    )
+
+    refreshed = {
+        "mlx_community": len(refresh_mlx_community_cache(force=force)),
+        "hf_collections": len(refresh_hf_collection_models_cache(force=force)),
+    }
+    reset_model_cache()
+    return refreshed
+
 def get_models():
     global _models_cache
     if _models_cache is None:
         data_path = os.path.join(os.path.dirname(__file__), "data", "hf_models.json")
+        static_mlx_path = os.path.join(os.path.dirname(__file__), "data", "mlx_community_models.json")
         try:
-            with open(data_path, encoding="utf-8") as f:
-                _models_cache = [_normalize_model_entry(m) for m in json.load(f)]
-        except (FileNotFoundError, json.JSONDecodeError):
-            _models_cache = []
+            from services.hwfit.hf_discovery import (
+                load_cached_hf_collection_models,
+                load_cached_mlx_community_models,
+            )
+            dynamic_mlx_models = load_cached_mlx_community_models()
+            dynamic_hf_models = load_cached_hf_collection_models()
+        except Exception:
+            dynamic_mlx_models = []
+            dynamic_hf_models = []
+        seen = set()
+        rows = []
+        def _append_models(models):
+            for model in models:
+                if not isinstance(model, dict):
+                    continue
+                name = model.get("name")
+                if not name or name in seen:
+                    continue
+                seen.add(name)
+                rows.append(_normalize_model_entry(model))
+
+        for model in _load_model_file(data_path):
+            if not isinstance(model, dict):
+                continue
+            name = model.get("name")
+            if not name or name in seen:
+                continue
+            seen.add(name)
+            rows.append(_normalize_model_entry(model))
+        _append_models(dynamic_hf_models)
+        _append_models(dynamic_mlx_models)
+        _append_models(_load_model_file(static_mlx_path))
+        _models_cache = rows
     return _models_cache
 
 

services/hwfit/profiles.py

@@ -103,6 +103,9 @@ def compute_serve_profiles(system, model, serve_weights_gb=None, serve_quant=Non
     in the actual serving knobs (n_cpu_moe, KV-cache type, context). serve_quant
     is the file's quant label (e.g. "Q4_K_M") just for display.
     """
+    if not isinstance(system, dict) or not isinstance(model, dict):
+        return []
+
     vram = float(system.get("gpu_vram_gb") or 0)
     if vram <= 0:
         return []

services/search/content.py

@@ -8,11 +8,13 @@ import os
 import re
 import logging
 import socket
+import ssl
 from datetime import datetime, timedelta
-from typing import List
+from typing import Iterable, List, cast
 from urllib.parse import urljoin, urlparse
 
 import httpx
+import httpcore
 from bs4 import BeautifulSoup
 
 from src.constants import WEB_FETCH_SOFT_MAX_BYTES, WEB_FETCH_HARD_MAX_BYTES, WEB_FETCH_USER_AGENT
@@ -91,6 +93,148 @@ def _public_http_url(url: str) -> bool:
         return False
 
 
+def _resolve_public_ips(url: str) -> list[ipaddress._BaseAddress]:
+    parsed = urlparse(url)
+    if parsed.scheme not in ("http", "https") or not parsed.hostname:
+        raise httpx.RequestError(f"Blocked non-public URL: {url}")
+    host = (parsed.hostname or "").strip().lower()
+    if host in ("localhost", "metadata", "metadata.google.internal"):
+        raise httpx.RequestError(f"Blocked non-public hostname: {host}")
+    try:
+        ip = ipaddress.ip_address(host)
+        if _is_private_address(ip):
+            raise httpx.RequestError(f"Blocked non-public IP literal: {host}")
+        return [ip]
+    except httpx.RequestError:
+        raise
+    except ValueError:
+        pass
+    addrs = _resolve_hostname_ips(host)
+    if not addrs or any(_is_private_address(a) for a in addrs):
+        raise httpx.RequestError(f"Blocked non-public URL: {url}")
+    return addrs
+
+
+class _PinnedBackend(httpcore.NetworkBackend):
+    """Network backend that connects to a pre-resolved IP.
+
+    httpcore derives the TLS SNI and the ``Host`` header from the URL's
+    origin, not from the host argument passed to ``connect_tcp``. So
+    routing the TCP connect to a resolved IP while leaving the URL
+    untouched keeps SNI / vhost behaviour correct and closes the
+    DNS-rebinding TOCTOU between the SSRF check and the connect.
+    """
+
+    def __init__(self, ip: ipaddress._BaseAddress):
+        self._ip = str(ip)
+        self._real = httpcore.SyncBackend()
+
+    def connect_tcp(
+        self,
+        host: str,
+        port: int,
+        timeout: float | None = None,
+        local_address: str | None = None,
+        socket_options=None,
+    ):
+        return self._real.connect_tcp(
+            self._ip, port, timeout, local_address, socket_options
+        )
+
+    def connect_unix_socket(self, path, timeout=None, socket_options=None):
+        return self._real.connect_unix_socket(path, timeout, socket_options)
+
+    def sleep(self, seconds: float) -> None:
+        return self._real.sleep(seconds)
+
+
+# Map httpcore exception classes to their httpx equivalents. Built
+# once at import time from the public exception classes; avoids any
+# import of httpx's private transport machinery. httpcore's
+# ``ConnectionNotAvailable`` is a pool-internal signal (the pool will
+# close and retry on its own) — we never expect to see it surface to
+# a transport caller, so it has no httpx counterpart here.
+_HTTPCORE_TO_HTTPX_EXC = {
+    httpcore.ConnectError: httpx.ConnectError,
+    httpcore.ConnectTimeout: httpx.ConnectTimeout,
+    httpcore.LocalProtocolError: httpx.LocalProtocolError,
+    httpcore.NetworkError: httpx.NetworkError,
+    httpcore.PoolTimeout: httpx.PoolTimeout,
+    httpcore.ProtocolError: httpx.ProtocolError,
+    httpcore.ProxyError: httpx.ProxyError,
+    httpcore.ReadError: httpx.ReadError,
+    httpcore.ReadTimeout: httpx.ReadTimeout,
+    httpcore.RemoteProtocolError: httpx.RemoteProtocolError,
+    httpcore.TimeoutException: httpx.TimeoutException,
+    httpcore.UnsupportedProtocol: httpx.UnsupportedProtocol,
+    httpcore.WriteError: httpx.WriteError,
+    httpcore.WriteTimeout: httpx.WriteTimeout,
+}
+
+
+class _PinnedTransport(httpx.BaseTransport):
+    """Transport that pins every TCP connect to a pre-resolved IP.
+
+    Uses only the public ``httpcore`` and ``httpx`` APIs — no
+    subclassing of ``httpx.HTTPTransport``, no reads of private
+    ``httpcore.ConnectionPool`` attributes, no imports from
+    ``httpx private transport internals``. The URL is passed through unchanged so SNI
+    / vhost work as if httpx had been given the hostname directly;
+    only the TCP destination is pinned, closing the DNS-rebinding
+    TOCTOU between the SSRF check and the connect.
+    """
+
+    def __init__(self, ip: ipaddress._BaseAddress, *, http2: bool = False):
+        self._pool = httpcore.ConnectionPool(
+            ssl_context=ssl.create_default_context(),
+            http1=True,
+            http2=http2,
+            network_backend=_PinnedBackend(ip),
+        )
+
+    def __enter__(self):
+        self._pool.__enter__()
+        return self
+
+    def __exit__(self, exc_type=None, exc_value=None, traceback=None) -> None:
+        self._pool.__exit__(exc_type, exc_value, traceback)
+
+    def handle_request(self, request: httpx.Request) -> httpx.Response:
+        httpcore_req = httpcore.Request(
+            method=request.method,
+            url=httpcore.URL(
+                scheme=request.url.raw_scheme,
+                host=request.url.raw_host,
+                port=request.url.port,
+                target=request.url.raw_path,
+            ),
+            headers=request.headers.raw,
+            content=request.stream,
+            extensions=request.extensions,
+        )
+        try:
+            httpcore_resp = self._pool.handle_request(httpcore_req)
+            # Eager materialisation matches the original
+            # ``response.text`` usage in fetch_webpage_content. The
+            # sync pool's stream is a plain Iterable[bytes] despite
+            # the httpcore type hint unioning the async variant.
+            content = b"".join(cast(Iterable[bytes], httpcore_resp.stream))
+        except Exception as exc:
+            mapped = _HTTPCORE_TO_HTTPX_EXC.get(type(exc))
+            if mapped is not None:
+                raise mapped(str(exc)) from exc
+            raise
+
+        return httpx.Response(
+            status_code=httpcore_resp.status,
+            headers=httpcore_resp.headers,
+            content=content,
+            extensions=httpcore_resp.extensions,
+        )
+
+    def close(self) -> None:
+        self._pool.close()
+
 class BodyTooLargeError(Exception):
     """The server declared a body larger than the hard fetch ceiling."""
 
@@ -141,78 +285,78 @@ class _CappedFetch:
 
 def _get_public_url(url: str, headers: dict, timeout: int, max_redirects: int = 5,
                     max_bytes: int = None) -> "_CappedFetch":
-    """Capped streaming GET with SSRF-guarded manual redirects.
+    """Capped streaming GET with SSRF-guarded, DNS-pinned manual redirects.
 
-    The body is streamed and buffering stops at ``max_bytes`` (default: the
-    soft cap), so an oversized resource cannot be pulled into memory or the
-    content cache in full. When Content-Length already declares a body over
-    the hard ceiling, the fetch is refused before any body bytes are read.
+    Each hop is resolved once, validated as public, and then the actual TCP
+    connection is pinned to that resolved IP. The request URL is left unchanged
+    so Host and TLS SNI keep the original hostname.
     """
     cap = min(max_bytes or WEB_FETCH_SOFT_MAX_BYTES, WEB_FETCH_HARD_MAX_BYTES)
     current = url
     for _ in range(max_redirects + 1):
-        if not _public_http_url(current):
-            raise httpx.RequestError("Blocked private/internal URL", request=httpx.Request("GET", current))
+        ips = _resolve_public_ips(current)
+
         # Force identity transfer-encoding. With gzip/deflate the wire bytes
-        # (and Content-Length) can be a small fraction of the decoded body, so
-        # a tiny compressed response could pass the hard-cap preflight and then
-        # expand past the ceiling in a single decoded chunk before the streamed
-        # cap below can slice it. Identity makes Content-Length the true body
-        # size and keeps each streamed chunk bounded by the network read.
+        # and Content-Length can be a small fraction of the decoded body, so a
+        # tiny compressed response could pass the hard-cap preflight and then
+        # expand past the ceiling in one decoded chunk before the streamed cap
+        # below can slice it.
         req_headers = dict(headers or {})
         req_headers["Accept-Encoding"] = "identity"
-        with httpx.stream("GET", current, headers=req_headers, timeout=timeout,
-                          follow_redirects=False) as response:
-            if response.status_code in (301, 302, 303, 307, 308):
-                location = response.headers.get("location")
-                if not location:
-                    return _CappedFetch(response.status_code, response.headers, b"",
-                                        False, None, response.encoding, str(response.url))
-                current = urljoin(str(response.url), location)
-                continue
 
-            # A server can ignore the identity request and still return a
-            # compressed body; httpx.iter_bytes would then decode it, and a tiny
-            # gzip can balloon into one decoded chunk far past the cap before we
-            # slice. Refuse a compressed Content-Encoding so the streamed cap
-            # stays a real memory bound (Content-Length is the compressed wire
-            # length here, so the preflight and size metadata are unreliable too).
-            enc = (response.headers.get("content-encoding") or "").strip().lower()
-            if enc and enc != "identity":
-                raise httpx.RequestError(
-                    f"Refusing compressed response (Content-Encoding: {enc}) after "
-                    "requesting identity: cannot bound decoded body size",
-                    request=httpx.Request("GET", current),
-                )
+        with httpx.Client(
+            headers=req_headers,
+            timeout=timeout,
+            follow_redirects=False,
+            transport=_PinnedTransport(ips[0]),
+        ) as client:
+            with client.stream("GET", current) as response:
+                if response.status_code in (301, 302, 303, 307, 308):
+                    location = response.headers.get("location")
+                    if not location:
+                        return _CappedFetch(response.status_code, response.headers, b"",
+                                            False, None, response.encoding, str(response.url))
+                    current = urljoin(str(response.url), location)
+                    continue
 
-            declared = None
-            raw_len = response.headers.get("content-length")
-            if raw_len and raw_len.isdigit():
-                declared = int(raw_len)
-            # Refuse before buffering anything when the server already tells
-            # us the body exceeds the absolute ceiling (Content-Length is wire
-            # bytes; the decompressed body can only be larger).
-            if declared is not None and declared > WEB_FETCH_HARD_MAX_BYTES:
-                raise BodyTooLargeError(current, declared)
+                # A server can ignore the identity request and still return a
+                # compressed body; httpx.iter_bytes would then decode it, and a
+                # tiny gzip can balloon into one decoded chunk far past the cap.
+                # Refuse compressed Content-Encoding so the streamed cap stays
+                # a real memory bound.
+                enc = (response.headers.get("content-encoding") or "").strip().lower()
+                if enc and enc != "identity":
+                    raise httpx.RequestError(
+                        f"Refusing compressed response (Content-Encoding: {enc}) after "
+                        "requesting identity: cannot bound decoded body size",
+                        request=httpx.Request("GET", current),
+                    )
+
+                declared = None
+                raw_len = response.headers.get("content-length")
+                if raw_len and raw_len.isdigit():
+                    declared = int(raw_len)
+
+                if declared is not None and declared > WEB_FETCH_HARD_MAX_BYTES:
+                    raise BodyTooLargeError(current, declared)
+
+                chunks = []
+                read = 0
+                truncated = False
+                for chunk in response.iter_bytes():
+                    read += len(chunk)
+                    if read > cap:
+                        keep = cap - (read - len(chunk))
+                        if keep > 0:
+                            chunks.append(chunk[:keep])
+                        truncated = True
+                        break
+                    chunks.append(chunk)
+
+                return _CappedFetch(response.status_code, response.headers,
+                                    b"".join(chunks), truncated, declared,
+                                    response.encoding, str(response.url))
 
-            chunks = []
-            read = 0
-            truncated = False
-            # We requested identity above, so iter_bytes yields the raw body in
-            # network-read-sized chunks (no decompression expansion); the cap
-            # therefore bounds what we actually buffer.
-            for chunk in response.iter_bytes():
-                read += len(chunk)
-                if read > cap:
-                    keep = cap - (read - len(chunk))
-                    if keep > 0:
-                        chunks.append(chunk[:keep])
-                    truncated = True
-                    break
-                chunks.append(chunk)
-            return _CappedFetch(response.status_code, response.headers,
-                                b"".join(chunks), truncated, declared,
-                                response.encoding, str(response.url))
     raise httpx.RequestError("Too many redirects", request=httpx.Request("GET", current))
 
 # PDF extraction (optional dependency)

services/search/query.py

@@ -34,8 +34,14 @@ def _extract_entities(query: str) -> Dict[str, List[str]]:
     cleaned = query
     if qtype:
         cleaned = re.sub(rf"^{qtype}\b", "", cleaned, flags=re.I).strip()
-    for token in re.findall(r"\b[A-Z][a-zA-Z]+\b", cleaned):
-        entities["names"].append(token)
+    # Unicode-aware capitalized-word (name) detection. The old [A-Z][a-zA-Z]+
+    # class missed non-ASCII names like "İstanbul"/"Zürich" (dropped) and
+    # "São" (shredded). Keep the ASCII behaviour — the word boundary already
+    # excludes camelCase mid-word capitals — by requiring an all-alphabetic
+    # token of length > 1 whose first character is uppercase.
+    for token in re.findall(r"\b\w+\b", cleaned):
+        if len(token) > 1 and token[0].isupper() and token.isalpha():
+            entities["names"].append(token)
     for year in re.findall(r"\b(?:19|20)\d{2}\b", cleaned):
         entities["dates"].append(year)
     month_day_year = re.findall(

setup.py

@@ -239,6 +239,15 @@ def check_arch():
 def main():
     print("\n=== Odysseus Setup ===\n")
 
+    # Load .env so pre-seeded ODYSSEUS_ADMIN_USER / ODYSSEUS_ADMIN_PASSWORD (and
+    # other deployment vars) are honored on native installs, not just when they
+    # are exported in the shell. Mirrors app.py: encoding="utf-8-sig" tolerates a
+    # UTF-8 BOM in a Notepad-saved .env. load_dotenv does not override already
+    # exported OS env vars, so the existing precedence is preserved. python-dotenv
+    # is a hard dependency (requirements.txt) and is verified by check_deps below.
+    from dotenv import load_dotenv
+    load_dotenv(os.path.join(BASE_DIR, ".env"), encoding="utf-8-sig")
+
     # Fail fast with a clear message if the CPU architecture is wrong (Apple
     # Silicon under an x86/Rosetta Python) before importing anything native.
     check_arch()

src/action_intents.py

@@ -92,8 +92,21 @@ _ROUTING_PATTERNS: tuple[tuple[str, str, Pattern[str]], ...] = tuple(
 
         # Deep research jobs, not quick conceptual mentions of research.
         ("web", "explicit web search request", rf"{_PLEASE}(?:do|run|use|perform|make)\s+(?:a\s+)?(?:web\s+search|search\s+the\s+web)\b.+"),
-        ("web", "web lookup imperative request", rf"{_PLEASE}(?:web\s+search|search\s+the\s+web|search\s+online|look\s+up|google)\b.+"),
-        ("web", "assistant web lookup request", rf"{_ACTION_QUESTION}(?:web\s+search|search\s+the\s+web|search\s+online|look\s+up|google)\b.+"),
+        ("web", "generic search request", rf"{_PLEASE}search\s+(?!(?:my\s+)?(?:chats?|history|sessions?|notes?|todos?|emails?|mail|inbox|documents?|docs|gallery|images?|files?)\b).+"),
+        ("web", "web lookup imperative request", rf"{_PLEASE}(?:web\s+search|search\s+the\s+web|search\s+online|look\s+up|google(?:\s+it)?)\b.*"),
+        ("web", "short web lookup follow-up", rf"{_PLEASE}(?:just\s+)?(?:look\s+it\s+up|look\s+up|search\s+(?:online|web|now)|search\s+it)\b\s*$"),
+        ("web", "assistant short web lookup request", rf"{_ACTION_QUESTION}(?:search|look\s+up|google)(?:\s+(?:online|web|now|it))?\b.*"),
+        ("web", "assistant web lookup request", rf"{_ACTION_QUESTION}(?:web\s+search|search\s+the\s+web|search\s+online|look\s+up|google(?:\s+it)?)\b.*"),
+        ("web", "assistant weather check request", rf"{_ACTION_QUESTION}(?:check|find|get|look\s+up)\b.{{0,100}}\b(?:weather|forecast)\b.*"),
+        ("web", "news lookup request", r"\b(?:news|headlines)\s+(?:in|from|about|for)\s+[\w\s.-]{2,80}\??\s*$"),
+        ("web", "forecast lookup request", r"\b(?:hourly|daily|weekly|local)\s+(?:weather\s+)?forecast\b|\b(?:weather\s+)?forecast\s+(?:for|today|tomorrow|now|hourly)\b"),
+        ("web", "weather lookup request", r"\bweather\b.{0,80}\b(?:hourly|rain|raining|rin|today|tomorrow|update|current|now)\b|\b(?:hourly|rain|raining|rin)\b.{0,80}\bweather\b"),
+        ("web", "rain lookup request", r"\b(?:hourly|daily|weekly|local|today|tomorrow|current|now|update)\b.{0,100}\b(?:rain|raining|rainy|precipitation|showers?)\b|\b(?:rain|raining|rainy|precipitation|showers?)\b.{0,100}\b(?:hourly|daily|weekly|local|today|tomorrow|current|now|update|in|for|at)\b"),
+        ("web", "bare weather lookup request", r"\b(?:weather|forecast)\s+(?:in|for|at)?\s*[\w\s.-]{2,80}\??\s*$|\b[\w\s.-]{2,80}\s+(?:weather|forecast)\??\s*$"),
+        ("web", "latest info lookup request", r"\b(?:latest|current|newest|recent|up(?: |-)?to(?: |-)?date)\s+(?:info|information|updates?|details?|developments?)\s+(?:on|about|for|in)\s+[\w\s.,:'\"/-]{2,120}\??\s*$"),
+        ("web", "current/latest lookup request", r"\b(?:current|latest|today'?s?|right\s+now|live|online)\b.{0,120}\b(?:rate|price|news|weather|forecast|score|exchange|market|status)\b"),
+        ("web", "rate/price/news lookup request", r"\b(?:rate|rates|price|prices|news|weather|forecast|score|exchange|currency|market)\b.{0,120}\b(?:now|today|current|latest|online|live|search|look\s+up|find)\b"),
+        ("web", "conversion-rate lookup request", r"\b(?:convert|conversion|exchange)\b.{0,120}\b(?:rate|rates|currency|currencies|price|prices)\b"),
         ("research", "deep research imperative request", rf"{_PLEASE}(?:research|deep\s+dive|look\s+into|investigate)\s+.+"),
         ("research", "assistant deep research request", rf"{_ACTION_QUESTION}(?:research|do\s+research|deep\s+dive|look\s+into|investigate)\s+.+"),
 

src/agent_runs.py

@@ -174,8 +174,20 @@ async def subscribe(session_id: str) -> AsyncGenerator[str, None]:
             next_seq += 1
         if run.status != "running":
             return
+        heartbeat_idx = 0
         while True:
-            seq, ev = await q.get()
+            try:
+                seq, ev = await asyncio.wait_for(q.get(), timeout=10.0)
+            except asyncio.TimeoutError:
+                # Keep slow local models/proxies alive while they prefill before
+                # the first token. SSE comments are ignored by the UI but reset
+                # browser/proxy idle timers, which prevents "empty response"
+                # disconnects on llama.cpp first-token latencies of 30s+.
+                if run.status == "running":
+                    heartbeat_idx += 1
+                    yield f": heartbeat {heartbeat_idx}\n\n"
+                    continue
+                seq, ev = (None, None)
             if seq is None:            # end sentinel
                 while next_seq < len(run.buffer):   # flush any tail the sentinel raced
                     yield run.buffer[next_seq]

src/agent_tools/__init__.py

@@ -14,6 +14,7 @@ Sub-modules:
 import logging
 from collections import namedtuple
 
+from src.tool_security import BUILTIN_EMAIL_TOOLS
 from src.tool_utils import _truncate, get_mcp_manager, set_mcp_manager
 
 logger = logging.getLogger(__name__)
@@ -22,9 +23,15 @@ from .subprocess_tools import BashTool, PythonTool
 from .web_tools import WebSearchTool, WebFetchTool
 from .filesystem_tools import ReadFileTool, WriteFileTool, EditFileTool, LsTool, GlobTool, GrepTool, GetWorkspaceTool
 from .document_tools import CreateDocumentTool, UpdateDocumentTool, EditDocumentTool, SuggestDocumentTool, ManageDocumentTool
+from .interaction_tools import AskUserTool, UpdatePlanTool
 from .model_interaction_tools import ChatWithModelTool, AskTeacherTool, ListModelsTool
 from .bg_job_tools import ManageBgJobsTool
 from .session_tools import CreateSessionTool, ListSessionsTool, SendToSessionTool, ManageSessionTool
+from .admin_tools import (
+    ADMIN_TOOL_HANDLERS,
+    do_manage_endpoints, do_manage_mcp, do_manage_webhooks,
+    do_manage_tokens, do_manage_settings,
+)
 
 TOOL_HANDLERS = {
     "bash": BashTool().execute,
@@ -43,6 +50,8 @@ TOOL_HANDLERS = {
     "suggest_document": SuggestDocumentTool().execute,
     "manage_documents": ManageDocumentTool().execute,
     "get_workspace": GetWorkspaceTool().execute,
+    "ask_user": AskUserTool().execute,
+    "update_plan": UpdatePlanTool().execute,
     "chat_with_model": ChatWithModelTool().execute,
     "ask_teacher": AskTeacherTool().execute,
     "list_models": ListModelsTool().execute,
@@ -52,6 +61,8 @@ TOOL_HANDLERS = {
     "send_to_session": SendToSessionTool().execute,
     "manage_session": ManageSessionTool().execute,
 }
+# Config/integration admin tools (manage_endpoints/mcp/webhooks/tokens/settings).
+TOOL_HANDLERS.update(ADMIN_TOOL_HANDLERS)
 
 # ---------------------------------------------------------------------------
 # Constants (re-exported for backward compatibility — single source of truth
@@ -76,9 +87,10 @@ TOOL_TAGS = {"bash", "python", "web_search", "web_fetch", "read_file", "write_fi
              "manage_endpoints", "manage_mcp", "manage_webhooks",
              "manage_tokens", "manage_documents", "manage_settings",
              "manage_notes", "manage_calendar",
-             "resolve_contact", "manage_contact", "list_email_accounts", "send_email", "list_emails",
-             "read_email", "reply_to_email", "bulk_email", "archive_email",
-             "delete_email", "mark_email_read",
+             "resolve_contact", "manage_contact",
+             # Email tool names come from BUILTIN_EMAIL_TOOLS (unioned below)
+             # so the fence regex, dispatch, and non-admin blocklist all cover
+             # the same set.
              # Cookbook tools (LLM serving + downloads). Without these
              # entries, native function calls to e.g. list_served_models
              # are rejected as "Unknown function call" before reaching
@@ -95,7 +107,7 @@ TOOL_TAGS = {"bash", "python", "web_search", "web_fetch", "read_file", "write_fi
              # Generic loopback to any UI-button endpoint (cookbook,
              # gallery, email folders, etc.) — agent uses this when
              # there's no named tool wrapper for the action.
-             "app_api"}
+             "app_api"} | BUILTIN_EMAIL_TOOLS
 
 ToolBlock = namedtuple("ToolBlock", ["tool_type", "content"])
 
@@ -138,10 +150,5 @@ from src.tool_implementations import (  # noqa: E402, F401
     do_search_chats,
     do_manage_skills,
     do_manage_tasks,
-    do_manage_endpoints,
-    do_manage_mcp,
-    do_manage_webhooks,
-    do_manage_tokens,
-    do_manage_settings,
     do_api_call,
 )

src/agent_tools/admin_tools.py

@@ -0,0 +1,792 @@
+"""Config/integration admin agent tools (TOOL_HANDLERS).
+
+Moved verbatim from tool_implementations.py as part of the tool-registry
+migration (#3629, the `admin_tools.py` bullet): manage_endpoints / manage_mcp /
+manage_webhooks / manage_tokens / manage_settings, plus manage_mcp's
+command-allowlist guard. Each impl keeps its `do_*(content, owner)` shape;
+ADMIN_TOOL_HANDLERS wraps them into registry `execute(content, ctx)` adapters
+via one factory.
+"""
+import json
+import os
+import re
+import logging
+from typing import Optional, Dict
+
+from src.tool_utils import get_mcp_manager, _parse_tool_args
+from src.tool_security import BUILTIN_EMAIL_TOOLS
+
+logger = logging.getLogger(__name__)
+
+
+async def do_manage_endpoints(content: str, owner: Optional[str] = None) -> Dict:
+    """Manage model endpoints: list, add, delete, enable, disable."""
+    from core.database import SessionLocal, ModelEndpoint
+    try:
+        args = _parse_tool_args(content)
+    except ValueError:
+        return {"error": "Invalid JSON arguments", "exit_code": 1}
+
+    action = args.get("action", "list")
+    db = SessionLocal()
+    try:
+        if action == "list":
+            eps = db.query(ModelEndpoint).all()
+            items = [{"id": e.id, "name": e.name, "base_url": e.base_url,
+                       "is_enabled": e.is_enabled} for e in eps]
+            return {"response": f"{len(items)} endpoints", "endpoints": items, "exit_code": 0}
+
+        elif action == "add":
+            import uuid as _uuid
+            name = args.get("name", "")
+            base_url = args.get("base_url", "")
+            api_key = args.get("api_key", "")
+            if not base_url:
+                return {"error": "base_url is required", "exit_code": 1}
+            eid = str(_uuid.uuid4())[:8]
+            from datetime import datetime
+            ep = ModelEndpoint(id=eid, name=name or base_url, base_url=base_url,
+                               api_key=api_key, is_enabled=True,
+                               created_at=datetime.utcnow(), updated_at=datetime.utcnow())
+            db.add(ep)
+            db.commit()
+            return {"response": f"Added endpoint '{name or base_url}' (id: {eid})", "exit_code": 0}
+
+        elif action == "delete":
+            eid = args.get("endpoint_id", "")
+            ep = db.query(ModelEndpoint).filter(ModelEndpoint.id == eid).first()
+            if not ep:
+                return {"error": f"Endpoint {eid} not found", "exit_code": 1}
+            name = ep.name
+            db.delete(ep)
+            db.commit()
+            return {"response": f"Deleted endpoint '{name}'", "exit_code": 0}
+
+        elif action in ("enable", "disable"):
+            eid = args.get("endpoint_id", "")
+            ep = db.query(ModelEndpoint).filter(ModelEndpoint.id == eid).first()
+            if not ep:
+                return {"error": f"Endpoint {eid} not found", "exit_code": 1}
+            ep.is_enabled = (action == "enable")
+            db.commit()
+            return {"response": f"Endpoint '{ep.name}' {action}d", "exit_code": 0}
+
+        else:
+            return {"error": f"Unknown action: {action}", "exit_code": 1}
+    except Exception as e:
+        logger.error(f"manage_endpoints error: {e}")
+        return {"error": str(e), "exit_code": 1}
+    finally:
+        db.close()
+
+
+# ---------------------------------------------------------------------------
+# MCP server management tool
+# ---------------------------------------------------------------------------
+
+# Parallel to routes/cookbook_helpers._validate_serve_cmd but deliberately the
+# opposite policy: that gate guards an admin-only serve command and allows
+# interpreters (python3/etc) because model-serving needs them, whereas this is
+# the model/prompt-injection-reachable manage_mcp path, so interpreters and
+# runners are denied here.
+#
+# Commands that can execute arbitrary code regardless of their arguments. These
+# are NEVER accepted on the manage_mcp agent path, even if an operator lists one
+# in ODYSSEUS_MCP_ALLOWED_COMMANDS -- a stdio server that genuinely needs an
+# interpreter or package runner must be registered via the trusted admin route.
+_MCP_DENIED_COMMANDS = frozenset({
+    "sh", "bash", "zsh", "fish", "dash", "ksh", "csh", "tcsh", "ash", "busybox",
+    "cmd", "command.com", "powershell", "pwsh",
+    "python", "pypy", "node", "nodejs", "deno", "bun", "ruby", "jruby",
+    "perl", "raku", "php", "lua", "luajit", "tclsh", "wish", "expect", "rscript",
+    "groovy", "scala", "elixir", "erl", "iex", "java", "javac", "jshell", "jbang",
+    "kotlin", "kotlinc", "dotnet", "mono", "swift", "osascript", "tsx", "ts-node",
+    "npx", "bunx", "uvx", "pipx", "npm", "pnpm", "yarn", "pip", "uv",
+    "gem", "cargo", "go", "bundle", "poetry", "conda", "mamba", "brew",
+    "apt", "apt-get", "yum", "dnf", "pacman", "apk",
+    "env", "xargs", "nohup", "setsid", "nice", "ionice", "time", "timeout",
+    "watch", "stdbuf", "unbuffer", "script", "ssh", "scp", "sshpass", "sudo",
+    "doas", "su", "make", "cmake", "docker", "podman", "kubectl", "find",
+    "awk", "gawk", "sed", "vi", "vim", "nvim", "emacs", "ed", "tee", "eval",
+})
+
+# Argv flags that make even an allowlisted binary execute inline code. Matched
+# by prefix so glued forms (-cimport os, --eval=...) are caught, not just the
+# exact-token form.
+_MCP_CODE_EXEC_SHORT_FLAGS = ("-c", "-e", "-m")
+_MCP_CODE_EXEC_LONG_FLAGS = ("--eval", "--exec", "--print", "--module", "--command", "--require")
+
+_MCP_URL_SCHEMES = ("http://", "https://", "ftp://", "ftps://", "file://", "data:", "jar:", "blob:")
+
+# Shell metacharacters refused in command/args. Args are passed as an argv list
+# (no shell), but refusing these keeps the surface narrow and obvious.
+_MCP_SHELL_METACHARS = set(";|&$`><\n\r")
+
+# Env vars that let a child process load attacker-supplied code before main().
+_MCP_DANGEROUS_ENV = frozenset({
+    "LD_PRELOAD", "LD_LIBRARY_PATH", "LD_AUDIT", "DYLD_INSERT_LIBRARIES",
+    "DYLD_LIBRARY_PATH", "DYLD_FRAMEWORK_PATH", "PYTHONPATH", "PYTHONSTARTUP",
+    "PYTHONHOME", "PYTHONEXECUTABLE", "NODE_OPTIONS", "NODE_PATH", "BASH_ENV",
+    "ENV", "SHELLOPTS", "PERL5LIB", "PERL5OPT", "RUBYOPT", "RUBYLIB", "GEM_PATH",
+    "R_PROFILE", "R_HOME", "PATH", "IFS", "PROMPT_COMMAND",
+})
+
+
+def _mcp_allowed_commands() -> set:
+    """Operator-configured allowlist of safe MCP launcher basenames for the agent
+    path. Empty by default; set ODYSSEUS_MCP_ALLOWED_COMMANDS (comma-separated)
+    to opt specific trusted binaries in. Denied commands are rejected even if
+    listed here."""
+    raw = os.environ.get("ODYSSEUS_MCP_ALLOWED_COMMANDS", "")
+    return {c.strip().lower() for c in raw.split(",") if c.strip()}
+
+
+def _validate_mcp_command(command, args, env) -> Optional[str]:
+    """Validate a model-supplied stdio MCP registration. Returns an error string
+    if it must be rejected, else None.
+
+    Closes the RCE where manage_mcp 'add' passed prompt-injection-controlled
+    command/args/env straight to a subprocess spawn (issue #438): a payload
+    smuggled into a skill description, memory entry, fetched page, or email body
+    could register a stdio server running arbitrary code as the app UID.
+    """
+    if not isinstance(command, str) or not command.strip():
+        return "command must be a non-empty string"
+    command = command.strip()
+    if "/" in command or "\\" in command:
+        return "command must be a bare executable name, not a path"
+    if any(ch in _MCP_SHELL_METACHARS for ch in command):
+        return "command contains shell metacharacters"
+    base = command.lower()
+    if base.endswith(".exe") or base.endswith(".cmd") or base.endswith(".bat"):
+        base = base.rsplit(".", 1)[0]
+    # Canonicalize a trailing version suffix so versioned aliases collapse to the
+    # family name (python3.11 -> python, node18 -> node, pip3 -> pip); both the
+    # raw basename and the canonical form are denied, so an operator cannot
+    # accidentally allowlist a runtime alias back into the path.
+    canon = re.sub(r"[-_.]?\d+(?:\.\d+)*$", "", base)
+    if base in _MCP_DENIED_COMMANDS or canon in _MCP_DENIED_COMMANDS:
+        return (
+            f"command '{command}' is not allowed on the agent MCP path: "
+            "interpreters, runtimes, package runners, and shells can execute "
+            "arbitrary code. Register such a server via the admin route instead."
+        )
+    if base not in _mcp_allowed_commands():
+        return (
+            f"command '{command}' is not in the MCP allowlist. Add it to "
+            "ODYSSEUS_MCP_ALLOWED_COMMANDS if you trust it, or register the "
+            "server via the admin route."
+        )
+
+    if args is not None:
+        if isinstance(args, str):
+            try:
+                args = json.loads(args)
+            except Exception:
+                return "args must be a JSON list"
+        if not isinstance(args, list):
+            return "args must be a list"
+        for a in args:
+            if not isinstance(a, str):
+                return "args must all be strings"
+            s = a.strip()
+            low = s.lower()
+            if any(s == f or s.startswith(f) for f in _MCP_CODE_EXEC_SHORT_FLAGS):
+                return f"arg '{a}' is a code-execution flag and is not allowed"
+            if any(low == f or low.startswith(f + "=") for f in _MCP_CODE_EXEC_LONG_FLAGS):
+                return f"arg '{a}' is a code-execution flag and is not allowed"
+            if any(low.startswith(u) for u in _MCP_URL_SCHEMES):
+                return f"arg '{a}' is a remote URL and is not allowed"
+            if any(ch in _MCP_SHELL_METACHARS for ch in a):
+                return f"arg '{a}' contains shell metacharacters"
+
+    if env:
+        if isinstance(env, str):
+            try:
+                env = json.loads(env)
+            except Exception:
+                return "env must be a JSON object"
+        if not isinstance(env, dict):
+            return "env must be an object"
+        for k in env:
+            if str(k).strip().upper() in _MCP_DANGEROUS_ENV:
+                return f"env var '{k}' can inject code into the child process and is not allowed"
+
+    return None
+
+
+async def do_manage_mcp(content: str, owner: Optional[str] = None) -> Dict:
+    """Manage MCP servers: list, add, delete, enable, disable, reconnect."""
+    try:
+        args = _parse_tool_args(content)
+    except ValueError:
+        return {"error": "Invalid JSON arguments", "exit_code": 1}
+
+    action = args.get("action", "list")
+
+    if action == "list":
+        mcp = get_mcp_manager()
+        if not mcp:
+            return {"response": "No MCP manager available", "servers": [], "exit_code": 0}
+        from core.database import SessionLocal, McpServer
+        db = SessionLocal()
+        try:
+            servers = db.query(McpServer).all()
+            items = []
+            for s in servers:
+                st = mcp.get_server_status(s.id)
+                status = st.get("status", "disconnected")
+                tool_count = st.get("tool_count", 0)
+                items.append({"id": s.id, "name": s.name, "transport": s.transport,
+                              "is_enabled": s.is_enabled, "status": status,
+                              "tool_count": tool_count})
+            return {"response": f"{len(items)} MCP servers", "servers": items, "exit_code": 0}
+        finally:
+            db.close()
+
+    elif action == "add":
+        from core.database import SessionLocal, McpServer
+        import uuid as _uuid
+        from datetime import datetime
+        name = args.get("name", "")
+        command = args.get("command", "")
+        cmd_args = args.get("args", [])
+        env = args.get("env", {})
+        if not name or not command:
+            return {"error": "name and command are required", "exit_code": 1}
+        # Validate BEFORE any DB write or spawn: a rejected registration must
+        # leave no enabled row (which would otherwise auto-reconnect on restart)
+        # and must not attempt a connection.
+        _mcp_err = _validate_mcp_command(command, cmd_args, env)
+        if _mcp_err:
+            return {"error": f"manage_mcp: refused unsafe server registration: {_mcp_err}", "exit_code": 1}
+        sid = str(_uuid.uuid4())[:8]
+        db = SessionLocal()
+        try:
+            srv = McpServer(id=sid, name=name, transport="stdio", command=command,
+                            args=json.dumps(cmd_args) if isinstance(cmd_args, list) else cmd_args,
+                            env=json.dumps(env) if isinstance(env, dict) else env,
+                            is_enabled=True, created_at=datetime.utcnow(), updated_at=datetime.utcnow())
+            db.add(srv)
+            db.commit()
+        finally:
+            db.close()
+        # Try to connect
+        mcp = get_mcp_manager()
+        tool_count = 0
+        if mcp:
+            try:
+                await mcp.connect_server(
+                    sid, name, "stdio", command=command,
+                    args=cmd_args if isinstance(cmd_args, list) else json.loads(cmd_args),
+                    env=env if isinstance(env, dict) else json.loads(env),
+                )
+                st = mcp.get_server_status(sid)
+                tool_count = st.get("tool_count", 0)
+            except Exception as e:
+                logger.warning(f"MCP connect failed for {name}: {e}")
+        return {"response": f"Added MCP server '{name}' ({tool_count} tools)", "exit_code": 0}
+
+    elif action == "delete":
+        sid = args.get("server_id", "")
+        from core.database import SessionLocal, McpServer
+        db = SessionLocal()
+        try:
+            srv = db.query(McpServer).filter(McpServer.id == sid).first()
+            if not srv:
+                return {"error": f"Server {sid} not found", "exit_code": 1}
+            name = srv.name
+            mcp = get_mcp_manager()
+            if mcp:
+                try:
+                    await mcp.disconnect_server(sid)
+                except Exception:
+                    pass
+            db.delete(srv)
+            db.commit()
+            return {"response": f"Deleted MCP server '{name}'", "exit_code": 0}
+        finally:
+            db.close()
+
+    elif action == "reconnect":
+        sid = args.get("server_id", "")
+        mcp = get_mcp_manager()
+        if not mcp:
+            return {"error": "MCP manager not available", "exit_code": 1}
+        try:
+            await mcp.disconnect_server(sid)
+            from core.database import SessionLocal, McpServer
+            db2 = SessionLocal()
+            try:
+                srv = db2.query(McpServer).filter(McpServer.id == sid).first()
+                if srv:
+                    _args = json.loads(srv.args) if srv.args else []
+                    _env = json.loads(srv.env) if srv.env else {}
+                    await mcp.connect_server(
+                        server_id=sid,
+                        name=srv.name,
+                        transport=srv.transport,
+                        command=srv.command,
+                        args=_args,
+                        env=_env,
+                        url=srv.url,
+                    )
+                    st = mcp.get_server_status(sid)
+                    return {"response": f"Reconnected '{srv.name}' ({st.get('tool_count', 0)} tools)", "exit_code": 0}
+                return {"error": f"Server {sid} not found", "exit_code": 1}
+            finally:
+                db2.close()
+        except Exception as e:
+            return {"error": str(e), "exit_code": 1}
+
+    elif action in ("enable", "disable"):
+        sid = args.get("server_id", "")
+        from core.database import SessionLocal, McpServer
+        db = SessionLocal()
+        try:
+            srv = db.query(McpServer).filter(McpServer.id == sid).first()
+            if not srv:
+                return {"error": f"Server {sid} not found", "exit_code": 1}
+            srv.is_enabled = (action == "enable")
+            db.commit()
+            return {"response": f"MCP server '{srv.name}' {action}d", "exit_code": 0}
+        finally:
+            db.close()
+
+    elif action == "list_tools":
+        mcp = get_mcp_manager()
+        if not mcp:
+            return {"response": "No MCP manager", "tools": [], "exit_code": 0}
+        tools = mcp.get_all_tools()
+        items = [{"name": t["name"], "server": t["server_name"],
+                  "description": t.get("description", "")[:100]} for t in tools]
+        return {"response": f"{len(items)} MCP tools available", "tools": items, "exit_code": 0}
+
+    else:
+        return {"error": f"Unknown action: {action}", "exit_code": 1}
+
+
+# ---------------------------------------------------------------------------
+# Webhook management tool
+# ---------------------------------------------------------------------------
+
+async def do_manage_webhooks(content: str, owner: Optional[str] = None) -> Dict:
+    """Manage webhooks: list, add, delete, enable, disable, test."""
+    from core.database import SessionLocal
+    try:
+        args = _parse_tool_args(content)
+    except ValueError:
+        return {"error": "Invalid JSON arguments", "exit_code": 1}
+
+    action = args.get("action", "list")
+    db = SessionLocal()
+    try:
+        from core.database import Webhook
+        if action == "list":
+            hooks = db.query(Webhook).all()
+            items = [{"id": h.id, "name": h.name, "url": h.url,
+                       "events": h.events, "is_active": h.is_active} for h in hooks]
+            return {"response": f"{len(items)} webhooks", "webhooks": items, "exit_code": 0}
+
+        elif action == "add":
+            import uuid as _uuid
+            from datetime import datetime
+            from src.webhook_manager import validate_events, validate_webhook_url
+            name = args.get("name", "")
+            url = args.get("url", "")
+            events = args.get("events", "chat.completed")
+            if not url:
+                return {"error": "url is required", "exit_code": 1}
+            try:
+                url = validate_webhook_url(url)
+                events = validate_events(events)
+            except ValueError as e:
+                return {"error": str(e), "exit_code": 1}
+            wid = str(_uuid.uuid4())[:8]
+            hook = Webhook(id=wid, name=name or url, url=url,
+                           events=events, is_active=True,
+                           created_at=datetime.utcnow(), updated_at=datetime.utcnow())
+            db.add(hook)
+            db.commit()
+            return {"response": f"Added webhook '{name or url}'", "exit_code": 0}
+
+        elif action == "delete":
+            wid = args.get("webhook_id", "")
+            hook = db.query(Webhook).filter(Webhook.id == wid).first()
+            if not hook:
+                return {"error": f"Webhook {wid} not found", "exit_code": 1}
+            name = hook.name
+            db.delete(hook)
+            db.commit()
+            return {"response": f"Deleted webhook '{name}'", "exit_code": 0}
+
+        elif action in ("enable", "disable"):
+            wid = args.get("webhook_id", "")
+            hook = db.query(Webhook).filter(Webhook.id == wid).first()
+            if not hook:
+                return {"error": f"Webhook {wid} not found", "exit_code": 1}
+            hook.is_active = (action == "enable")
+            db.commit()
+            return {"response": f"Webhook '{hook.name}' {action}d", "exit_code": 0}
+
+        else:
+            return {"error": f"Unknown action: {action}", "exit_code": 1}
+    except Exception as e:
+        logger.error(f"manage_webhooks error: {e}")
+        return {"error": str(e), "exit_code": 1}
+    finally:
+        db.close()
+
+
+# ---------------------------------------------------------------------------
+# API token management tool
+# ---------------------------------------------------------------------------
+
+async def do_manage_tokens(content: str, owner: Optional[str] = None) -> Dict:
+    """Manage API tokens: list, create, delete."""
+    from core.database import SessionLocal, ApiToken
+    try:
+        args = _parse_tool_args(content)
+    except ValueError:
+        return {"error": "Invalid JSON arguments", "exit_code": 1}
+
+    action = args.get("action", "list")
+    db = SessionLocal()
+    try:
+        if action == "list":
+            tokens = db.query(ApiToken).all()
+            items = [{"id": t.id, "name": t.name, "token_prefix": t.token_prefix + "...",
+                       "is_active": t.is_active} for t in tokens]
+            return {"response": f"{len(items)} API tokens", "tokens": items, "exit_code": 0}
+
+        elif action == "create":
+            import uuid as _uuid, secrets, bcrypt
+            from datetime import datetime
+            name = args.get("name", "API Token")
+            raw_token = secrets.token_urlsafe(32)
+            token_hash = bcrypt.hashpw(raw_token.encode(), bcrypt.gensalt()).decode()
+            tid = str(_uuid.uuid4())[:8]
+            t = ApiToken(id=tid, name=name, token_hash=token_hash,
+                         token_prefix=raw_token[:8], is_active=True,
+                         created_at=datetime.utcnow(), updated_at=datetime.utcnow())
+            db.add(t)
+            db.commit()
+            return {"response": f"Created token '{name}'", "token": raw_token, "exit_code": 0}
+
+        elif action == "delete":
+            tid = args.get("token_id", "")
+            t = db.query(ApiToken).filter(ApiToken.id == tid).first()
+            if not t:
+                return {"error": f"Token {tid} not found", "exit_code": 1}
+            name = t.name
+            db.delete(t)
+            db.commit()
+            return {"response": f"Deleted token '{name}'", "exit_code": 0}
+
+        else:
+            return {"error": f"Unknown action: {action}", "exit_code": 1}
+    except Exception as e:
+        logger.error(f"manage_tokens error: {e}")
+        return {"error": str(e), "exit_code": 1}
+    finally:
+        db.close()
+
+# ---------------------------------------------------------------------------
+# Settings/preferences management tool
+# ---------------------------------------------------------------------------
+
+async def do_manage_settings(content: str, owner: Optional[str] = None) -> Dict:
+    """Manage user settings and preferences."""
+    try:
+        args = _parse_tool_args(content)
+    except ValueError:
+        return {"error": "Invalid JSON arguments", "exit_code": 1}
+
+    action = args.get("action", "list")
+
+    from core.database import SessionLocal
+    db = SessionLocal()
+    try:
+        # set/get/list/delete operate on the REAL app settings (the same store
+        # the Settings panel writes), so changing a model / voice / search
+        # engine / reminder channel from chat actually takes effect.
+        from src.settings import load_settings, save_settings, DEFAULT_SETTINGS
+
+        # Secrets/credentials the agent must NOT write: kept read-only (masked)
+        # so API keys never flow through chat. User sets these in the panel.
+        _SECRET_KEYS = {
+            "brave_api_key", "google_pse_key", "google_pse_cx",
+            "tavily_api_key", "serper_api_key", "app_public_url",
+        }
+        def _is_secret(k):
+            # `token` must be a suffix, not a substring: otherwise the int
+            # setting `agent_input_token_budget` (which even has a "token budget"
+            # alias to set it from chat) is wrongly classified as a credential.
+            return (
+                k in _SECRET_KEYS
+                or k.endswith("token")
+                or any(t in k for t in ("api_key", "_key", "secret", "password"))
+            )
+
+        # Friendly aliases → real keys, so natural phrasing resolves.
+        _ALIASES_SET = {
+            "voice": "tts_voice", "tts voice": "tts_voice", "tts": "tts_enabled",
+            "text to speech": "tts_enabled", "tts provider": "tts_provider",
+            "speech speed": "tts_speed", "voice speed": "tts_speed",
+            "stt": "stt_enabled", "speech to text": "stt_enabled", "transcription": "stt_enabled",
+            "search engine": "search_provider", "search provider": "search_provider",
+            "search results": "search_result_count", "result count": "search_result_count",
+            "default model": "default_model", "chat model": "default_model",
+            "default endpoint": "default_endpoint_id",
+            "task model": "task_model", "background model": "task_model",
+            "teacher model": "teacher_model", "teacher": "teacher_enabled",
+            "utility model": "utility_model", "research model": "research_model",
+            "research max tokens": "research_max_tokens",
+            "vision model": "vision_model", "vision": "vision_enabled",
+            "image model": "image_model", "image quality": "image_quality",
+            "image gen": "image_gen_enabled", "image generation": "image_gen_enabled",
+            "reminder channel": "reminder_channel", "reminders": "reminder_channel",
+            "ntfy topic": "reminder_ntfy_topic",
+            "webhook integration": "reminder_webhook_integration_id",
+            "webhook template": "reminder_webhook_payload_template", "webhook payload": "reminder_webhook_payload_template",
+            "agent tool calls": "agent_max_tool_calls", "max tool calls": "agent_max_tool_calls",
+            "agent timeout": "agent_stream_timeout_seconds", "stream timeout": "agent_stream_timeout_seconds",
+            "token budget": "agent_input_token_budget", "input budget": "agent_input_token_budget",
+            "hard max": "agent_input_token_hard_max",
+            "token budget cap": "agent_input_token_hard_max",
+            "input budget cap": "agent_input_token_hard_max",
+        }
+        def _resolve(k):
+            k2 = (k or "").strip().lower()
+            if k2 in DEFAULT_SETTINGS:
+                return k2
+            return _ALIASES_SET.get(k2, (k or "").strip())
+
+        _ENUMS = {
+            "image_quality": ["low", "medium", "high"],
+            "reminder_channel": ["browser", "email", "ntfy", "webhook"],
+        }
+        def _coerce(value, default):
+            if isinstance(default, bool):
+                return value if isinstance(value, bool) else str(value).strip().lower() in ("true", "on", "yes", "1", "enable", "enabled")
+            if isinstance(default, int):
+                return int(value)
+            return value
+
+        def _model_slug(value: str) -> str:
+            import re as _re
+            return _re.sub(r"[^a-z0-9]+", "", (value or "").lower())
+
+        def _endpoint_model_from_cache(model_query: str):
+            """Resolve friendly model text to an enabled endpoint + real model id.
+
+            The Settings UI stores both `<prefix>_endpoint_id` and
+            `<prefix>_model`; writing only the model leaves the runtime on the
+            old endpoint. Prefer cached model lists so this stays fast/offline.
+            """
+            import json as _json
+            import re as _re
+            from core.database import ModelEndpoint
+
+            wanted = (model_query or "").strip()
+            wanted_slug = _model_slug(wanted)
+            wanted_tokens = [_model_slug(t) for t in _re.findall(r"[A-Za-z0-9]+", wanted)]
+            wanted_tokens = [t for t in wanted_tokens if t]
+            if not wanted_slug:
+                return None
+            best = None
+            for ep in db.query(ModelEndpoint).filter(ModelEndpoint.is_enabled == True).all():
+                raw_models = []
+                try:
+                    raw_models = _json.loads(ep.cached_models or "[]") or []
+                except Exception:
+                    raw_models = []
+                # If cache is empty, still allow matching against endpoint name
+                # for callers using model@endpoint elsewhere later.
+                for mid in raw_models:
+                    mid = str(mid)
+                    mid_slug = _model_slug(mid)
+                    if not mid_slug:
+                        continue
+                    exact = mid.lower() == wanted.lower()
+                    compact_match = wanted_slug in mid_slug or mid_slug in wanted_slug
+                    token_match = bool(wanted_tokens) and all(tok in mid_slug for tok in wanted_tokens)
+                    if exact or compact_match or token_match:
+                        score = 3 if exact else (2 if compact_match else 1)
+                        if not best or score > best[0]:
+                            best = (score, ep.id, mid)
+            if best:
+                return {"endpoint_id": best[1], "model": best[2]}
+            return None
+
+        def _mask(k, v):
+            return "••••• (set in panel)" if _is_secret(k) and v else v
+
+        if action == "list":
+            s = load_settings()
+            shown = {k: _mask(k, v) for k, v in s.items() if k in DEFAULT_SETTINGS and not isinstance(v, dict)}
+            return {"response": f"{len(shown)} settings (use get/set with a key)", "settings": shown, "exit_code": 0}
+
+        elif action == "get":
+            key = _resolve(args.get("key", ""))
+            if not key:
+                return {"error": "key is required", "exit_code": 1}
+            if key not in DEFAULT_SETTINGS:
+                return {"error": f"Unknown setting '{args.get('key')}'. Use action='list' to see them.", "exit_code": 1}
+            val = load_settings().get(key, DEFAULT_SETTINGS.get(key))
+            return {"response": f"{key} = {_mask(key, val)}", "value": _mask(key, val), "exit_code": 0}
+
+        elif action == "set":
+            raw = args.get("key", "")
+            value = args.get("value")
+            if not raw:
+                return {"error": "key is required", "exit_code": 1}
+            key = _resolve(raw)
+            if key not in DEFAULT_SETTINGS:
+                return {"error": f"Unknown setting '{raw}'. Use action='list' to see available settings.", "exit_code": 1}
+            if _is_secret(key):
+                return {"response": f"'{key}' is a credential/secret. For security I can't set it from chat. Open Settings and set it there.", "exit_code": 0}
+            # Structured settings (dicts/lists like keybinds, default_model_fallbacks)
+            # have no safe scalar coercion; _coerce would pass a bare string
+            # straight through and clobber the structure. Refuse them here; they're
+            # edited in their dedicated panels. (reset/delete still restore the
+            # default structure, which is safe.)
+            if isinstance(DEFAULT_SETTINGS[key], (dict, list)):
+                return {"response": f"'{key}' is a structured setting. Edit it in its panel, not from chat. (You can reset it to default here.)", "exit_code": 0}
+            try:
+                value = _coerce(value, DEFAULT_SETTINGS[key])
+            except (ValueError, TypeError):
+                return {"error": f"'{value}' isn't a valid value for {key} (expected {type(DEFAULT_SETTINGS[key]).__name__}).", "exit_code": 1}
+            if key in _ENUMS and str(value).lower() not in _ENUMS[key]:
+                return {"error": f"{key} must be one of: {', '.join(_ENUMS[key])}.", "exit_code": 1}
+            s = load_settings()
+            s[key] = value
+            if key in {"default_model", "research_model", "utility_model", "task_model", "vision_model", "image_model"}:
+                resolved = _endpoint_model_from_cache(str(value))
+                if resolved:
+                    prefix = key[:-6]
+                    s[f"{prefix}_endpoint_id"] = resolved["endpoint_id"]
+                    s[key] = resolved["model"]
+                    value = resolved["model"]
+            save_settings(s)
+            if key.endswith("_model") and s.get(f"{key[:-6]}_endpoint_id"):
+                return {"response": f"Set {key} = {value} (endpoint {s.get(f'{key[:-6]}_endpoint_id')}).", "exit_code": 0}
+            return {"response": f"Set {key} = {value}.", "exit_code": 0}
+
+        elif action == "delete" or action == "reset":
+            key = _resolve(args.get("key", ""))
+            if key not in DEFAULT_SETTINGS:
+                return {"error": f"Unknown setting '{args.get('key')}'.", "exit_code": 1}
+            if _is_secret(key):
+                return {"response": f"'{key}' is a credential. Reset it in the panel.", "exit_code": 0}
+            s = load_settings()
+            s[key] = DEFAULT_SETTINGS[key]
+            save_settings(s)
+            return {"response": f"Reset {key} to default ({DEFAULT_SETTINGS[key]}).", "exit_code": 0}
+
+        elif action in ("disable_tool", "enable_tool", "list_tools"):
+            # Tool-toggle actions. These edit settings.json:disabled_tools
+            # (the global list read on every chat request) rather than
+            # prefs.json. Friendly aliases accepted: "shell" -> "bash",
+            # "search" -> "web_search", "browser" -> "builtin_browser",
+            # "documents" -> the document tool set, "memory" ->
+            # manage_memory, etc.
+            from src.settings import get_setting, save_settings, load_settings
+            _ALIASES = {
+                "shell": ["bash"],
+                "terminal": ["bash"],
+                "search": ["web_search", "web_fetch"],
+                "web": ["web_search", "web_fetch"],
+                "browser": ["builtin_browser"],
+                "documents": ["create_document", "edit_document", "update_document", "suggest_document"],
+                "doc": ["create_document", "edit_document", "update_document", "suggest_document"],
+                "memory": ["manage_memory"],
+                "skills": ["manage_skills"],
+                "images": ["generate_image"],
+                "image": ["generate_image"],
+                "tasks": ["manage_tasks"],
+                "notes": ["manage_notes"],
+                "calendar": ["manage_calendar"],
+                # The full built-in email tool set, in BOTH spellings: the
+                # qualified mcp__email__* names drive MCP schema hiding, the
+                # bare names drive function-schema hiding, and the runtime
+                # gate accepts either — deriving from BUILTIN_EMAIL_TOOLS
+                # keeps the toggle covering every tool the email server
+                # exposes instead of a hand-picked subset.
+                "email": sorted(BUILTIN_EMAIL_TOOLS)
+                         + [f"mcp__email__{t}" for t in sorted(BUILTIN_EMAIL_TOOLS)],
+                "research": ["web_search", "web_fetch"],  # research is a per-request flag, not a tool (closest analog)
+            }
+
+            if action == "list_tools":
+                current = get_setting("disabled_tools", []) or []
+                return {
+                    "response": (
+                        f"Currently disabled: {', '.join(current) if current else '(none)'}.\n"
+                        "Common toggles: shell (bash), search (web_search), browser, documents, "
+                        "memory, skills, images, tasks, notes, calendar, email."
+                    ),
+                    "disabled": list(current),
+                    "exit_code": 0,
+                }
+
+            tool_name = (args.get("tool") or args.get("name") or "").strip().lower()
+            if not tool_name:
+                return {"error": "tool name required (e.g. 'shell', 'search', 'bash')", "exit_code": 1}
+            targets = _ALIASES.get(tool_name, [tool_name])
+
+            settings = load_settings()
+            current = list(settings.get("disabled_tools") or [])
+            before = set(current)
+            if action == "disable_tool":
+                for t in targets:
+                    if t not in current:
+                        current.append(t)
+            else:  # enable_tool
+                current = [t for t in current if t not in targets]
+            after = set(current)
+            settings["disabled_tools"] = current
+            save_settings(settings)
+
+            verb = "Disabled" if action == "disable_tool" else "Enabled"
+            changed = sorted(after.symmetric_difference(before))
+            return {
+                "response": (
+                    f"{verb} {tool_name} ({', '.join(targets)}). "
+                    f"Now disabled: {', '.join(current) if current else '(none)'}."
+                ),
+                "changed": changed,
+                "disabled": list(current),
+                "exit_code": 0,
+            }
+
+        else:
+            return {"error": f"Unknown action: {action}", "exit_code": 1}
+    except Exception as e:
+        logger.error(f"manage_settings error: {e}")
+        return {"error": str(e), "exit_code": 1}
+    finally:
+        db.close()
+
+
+# ---------------------------------------------------------------------------
+# API call tool
+# ---------------------------------------------------------------------------
+
+
+
+# ── registry adapters ────────────────────────────────────────────────────────
+def _owner_adapter(fn):
+    """Wrap a do_*(content, owner) impl as a registry execute(content, ctx)."""
+    async def _execute(content: str, ctx: dict) -> dict:
+        return await fn(content, ctx.get("owner"))
+    return _execute
+
+
+ADMIN_TOOL_HANDLERS = {
+    "manage_endpoints": _owner_adapter(do_manage_endpoints),
+    "manage_mcp": _owner_adapter(do_manage_mcp),
+    "manage_webhooks": _owner_adapter(do_manage_webhooks),
+    "manage_tokens": _owner_adapter(do_manage_tokens),
+    "manage_settings": _owner_adapter(do_manage_settings),
+}

src/agent_tools/document_tools.py

@@ -1,8 +1,8 @@
 from typing import Any, Dict, List, Optional
 import logging
 import re
-import json
 from src.constants import MAX_READ_CHARS
+from src.tool_utils import _parse_tool_args
 
 logger = logging.getLogger(__name__)
 
@@ -130,15 +130,70 @@ def _looks_like_email_document(text: str = "", title: str = "") -> bool:
         return True
     return bool(_re.search(r"(?im)^To:\s*", s) and _re.search(r"(?im)^Subject:\s*", s))
 
+def _split_email_header_body(text: str) -> tuple[str, str]:
+    if "\n---\n" in (text or ""):
+        header, body = (text or "").split("\n---\n", 1)
+        return header.rstrip(), body.strip()
+    return (text or "").strip(), ""
+
+def _split_email_reply_history(body: str) -> tuple[str, str]:
+    """Split draft body from quoted/original email history.
+
+    Email reply docs keep the original thread below the user's new reply. Models
+    often rewrite only the fresh reply body; this helper keeps the historical
+    block from being wiped when update_document/edit_document replaces content.
+    """
+    text = body or ""
+    literal = "---------- Previous message ----------"
+    literal_idx = text.find(literal)
+    if literal_idx >= 0:
+        return text[:literal_idx].strip(), text[literal_idx:].strip()
+    patterns = [
+        r"(?m)^On .+ wrote:\s*$",
+        r"(?m)^> .+",
+    ]
+    starts = []
+    for pat in patterns:
+        m = re.search(pat, text)
+        if m:
+            starts.append(m.start())
+    if not starts:
+        return text.strip(), ""
+    idx = min(starts)
+    return text[:idx].strip(), text[idx:].strip()
+
+def _merge_email_headers(old_header: str, new_header: str) -> str:
+    """Preserve routing/threading metadata if a model omits it."""
+    protected = (
+        "In-Reply-To", "References", "X-Source-UID", "X-Source-Folder",
+        "X-Attachments", "X-Forward-Attachments",
+    )
+    lines = [l for l in (new_header or "").splitlines() if l.strip()]
+    present = {l.split(":", 1)[0].strip().lower() for l in lines if ":" in l}
+    for old_line in (old_header or "").splitlines():
+        if ":" not in old_line:
+            continue
+        key = old_line.split(":", 1)[0].strip()
+        if key in protected and key.lower() not in present:
+            lines.append(old_line)
+            present.add(key.lower())
+    return "\n".join(lines).rstrip()
+
 def _coerce_email_document_content(existing: str, incoming: str) -> str:
     """Keep email docs in the To/Subject/---/body shape even if a model writes
     only the body or dumps header labels without the separator."""
     import re as _re
     old = existing or ""
     new = (incoming or "").strip()
+    old_header, old_body = _split_email_header_body(old)
+    _, old_history = _split_email_reply_history(old_body)
     if "\n---\n" in new:
-        return new
-    header = old.split("\n---\n", 1)[0] if "\n---\n" in old else "To: \nSubject: "
+        new_header, new_body = _split_email_header_body(new)
+        new_own, new_history = _split_email_reply_history(new_body)
+        if old_history and not new_history:
+            new_body = (new_own + "\n\n" + old_history).strip()
+        return _merge_email_headers(old_header, new_header).rstrip() + "\n---\n" + new_body
+    header = old_header if old_header else "To: \nSubject: "
     if _looks_like_email_document(new):
         lines = new.splitlines()
         last_header_idx = -1
@@ -152,40 +207,11 @@ def _coerce_email_document_content(existing: str, incoming: str) -> str:
         body = "\n".join(body_lines).strip()
     else:
         body = new
+    _, incoming_history = _split_email_reply_history(body)
+    if old_history and not incoming_history:
+        body = (body.strip() + "\n\n" + old_history).strip()
     return header.rstrip() + "\n---\n" + body
 
-def _parse_tool_args(content):
-    """Parse a tool-call argument blob.
-
-    Accepts either a JSON string or an already-decoded dict. Unwraps the
-    common `{"body": {...}}` envelope that smaller models emit when they
-    read tool descriptions like "Body is JSON: {...}" literally — they
-    pass `body` as a field name rather than treating it as a noun.
-
-    Returns a dict on success, raises ValueError on bad JSON.
-    """
-    if isinstance(content, str):
-        try:
-            args = json.loads(content) if content.strip() else {}
-        except (json.JSONDecodeError, TypeError) as e:
-            raise ValueError(str(e))
-    elif isinstance(content, dict):
-        args = content
-    else:
-        args = {}
-    # Unwrap {"body": {...}} envelope — but only if `body` is the sole key
-    # and points at a dict. We don't want to clobber a legitimate `body`
-    # field on tools where it's a real arg (e.g. send_email body text).
-    if (
-        isinstance(args, dict)
-        and len(args) == 1
-        and "body" in args
-        and isinstance(args["body"], dict)
-        and "action" in args["body"]  # extra safety: only unwrap if the inner dict looks like a tool call
-    ):
-        args = args["body"]
-    return args
-
 def parse_edit_blocks(content: str) -> list:
     """Parse <<<FIND>>>...<<<REPLACE>>>...<<<END>>> blocks."""
     edits = []
@@ -217,6 +243,71 @@ def parse_suggest_blocks(content: str) -> list:
     return suggestions
 
 
+def _pdf_source_upload_id(content: str) -> Optional[str]:
+    try:
+        from src.pdf_form_doc import find_source_upload_id
+        return find_source_upload_id(content or "")
+    except Exception:
+        return None
+
+
+def _strip_pdf_editor_markers(content: str) -> str:
+    """Turn a PDF-wrapper markdown doc into ordinary editable markdown.
+
+    PDF docs use hidden HTML comments for source-upload links, form fields, and
+    page annotations. Those comments are necessary for rendering/exporting the
+    original PDF, but they make a derived AI text edit keep showing the original
+    PDF preview. Remove only the editor plumbing and keep the readable text.
+    """
+    text = content or ""
+    text = re.sub(r'(?im)^\s*<!--\s*pdf(?:_form)?_source\s+[^>]*-->\s*\n*', '', text)
+    text = re.sub(r'\s*<!--\s*field=[^>]*-->', '', text)
+    text = re.sub(r'\s*<!--\s*annotation\s+[^>]*-->', '', text)
+    return text.strip()
+
+
+def _create_pdf_text_derivative(db, *, source_doc, content: str, owner: Optional[str], summary: str) -> dict:
+    import uuid
+    from src.database import Document, DocumentVersion
+
+    clean = _strip_pdf_editor_markers(content)
+    title_base = (getattr(source_doc, "title", None) or "PDF").strip()
+    title = title_base if title_base.lower().endswith("edited") else f"{title_base} edited"
+    doc_id = str(uuid.uuid4())
+    ver_id = str(uuid.uuid4())
+    new_doc = Document(
+        id=doc_id,
+        session_id=getattr(source_doc, "session_id", None),
+        title=title,
+        language="markdown",
+        current_content=clean,
+        version_count=1,
+        is_active=True,
+        owner=owner if owner is not None else getattr(source_doc, "owner", None),
+    )
+    ver = DocumentVersion(
+        id=ver_id,
+        document_id=doc_id,
+        version_number=1,
+        content=clean,
+        summary=summary,
+        source="ai",
+    )
+    db.add(new_doc)
+    db.add(ver)
+    db.commit()
+    set_active_document(doc_id)
+    return {
+        "action": "create",
+        "doc_id": doc_id,
+        "title": title,
+        "language": "markdown",
+        "content": clean,
+        "version": 1,
+        "source_doc_id": getattr(source_doc, "id", None),
+    }
+
+
 class CreateDocumentTool:
     async def execute(self, content: str, ctx: dict) -> dict:
         """Create a new document. Supports two formats:
@@ -364,6 +455,15 @@ class UpdateDocumentTool:
             if is_email_doc:
                 doc.language = "email"
 
+            if not is_email_doc and _pdf_source_upload_id(doc.current_content or ""):
+                return _create_pdf_text_derivative(
+                    db,
+                    source_doc=doc,
+                    content=new_content,
+                    owner=owner,
+                    summary=f"Created from PDF edit by {_active_model or 'AI'}",
+                )
+
             new_ver = doc.version_count + 1
             ver = DocumentVersion(
                 id=str(uuid.uuid4()),
@@ -421,6 +521,42 @@ class EditDocumentTool:
             if not doc:
                 return {"error": "No documents exist to edit"}
 
+            is_email_doc = doc.language == "email" or _looks_like_email_document(doc.current_content or "", doc.title or "")
+            blank_find_edits = [e for e in edits if not (e.get("find") or "").strip()]
+            if blank_find_edits:
+                if is_email_doc:
+                    replacement_body = (blank_find_edits[0].get("replace") or "").strip()
+                    if not replacement_body:
+                        return {"error": "No edits applied — blank FIND block had no replacement text"}
+                    updated_content = _coerce_email_document_content(doc.current_content or "", replacement_body)
+                    applied = 1
+                    skipped = max(0, len(edits) - 1)
+                    doc.language = "email"
+                    new_ver = doc.version_count + 1
+                    ver = DocumentVersion(
+                        id=str(uuid.uuid4()),
+                        document_id=target_id,
+                        version_number=new_ver,
+                        content=updated_content,
+                        summary=f"Edited email body by {_active_model or 'AI'}",
+                        source="ai",
+                    )
+                    doc.current_content = updated_content
+                    doc.version_count = new_ver
+                    db.add(ver)
+                    db.commit()
+                    return {
+                        "action": "edit",
+                        "doc_id": target_id,
+                        "title": doc.title,
+                        "language": doc.language,
+                        "content": updated_content,
+                        "version": new_ver,
+                        "applied": applied,
+                        "skipped": skipped,
+                    }
+                return {"error": "No edits applied — FIND text cannot be blank"}
+
             updated_content = doc.current_content
             applied = 0
             skipped = 0
@@ -448,6 +584,15 @@ class EditDocumentTool:
             if applied == 0:
                 return {"error": f"No edits applied — none of the FIND blocks matched the document content (skipped {skipped})"}
 
+            if _pdf_source_upload_id(doc.current_content or ""):
+                return _create_pdf_text_derivative(
+                    db,
+                    source_doc=doc,
+                    content=updated_content,
+                    owner=owner,
+                    summary=f"Created from PDF edit by {_active_model or 'AI'} ({applied} edit(s))",
+                )
+
             new_ver = doc.version_count + 1
             ver = DocumentVersion(
                 id=str(uuid.uuid4()),
@@ -596,9 +741,20 @@ class ManageDocumentTool:
                 if not doc:
                     return {"error": f"Document '{doc_id}' not found", "exit_code": 1}
                 body = doc.current_content or ""
-                preview_limit = int(args.get("limit", MAX_READ_CHARS))
-                truncated = len(body) > preview_limit
-                preview = body[:preview_limit] + (f"\n... (truncated, {len(body)} chars total)" if truncated else "")
+                try:
+                    preview_limit = max(1, min(int(args.get("limit", MAX_READ_CHARS)), MAX_READ_CHARS))
+                except (TypeError, ValueError):
+                    preview_limit = MAX_READ_CHARS
+                try:
+                    offset = max(0, int(args.get("offset", 0) or 0))
+                except (TypeError, ValueError):
+                    offset = 0
+                offset = min(offset, len(body))
+                end = min(offset + preview_limit, len(body))
+                truncated = end < len(body)
+                preview = body[offset:end]
+                if truncated:
+                    preview += f"\n... (truncated, {len(body)} chars total; next_offset={end})"
                 anchor = f"[{doc.title}](#document-{doc.id})"
                 return {
                     "response": f"{anchor} — click to open in editor.\n\n```{doc.language or ''}\n{preview}\n```",
@@ -609,6 +765,8 @@ class ManageDocumentTool:
                         "size": len(body),
                         "content": preview,
                         "truncated": truncated,
+                        "offset": offset,
+                        "next_offset": end if truncated else None,
                     },
                     "exit_code": 0,
                 }
@@ -641,4 +799,4 @@ class ManageDocumentTool:
             logger.error(f"manage_documents error: {e}")
             return {"error": str(e), "exit_code": 1}
         finally:
-            db.close()
+            db.close()

src/agent_tools/filesystem_tools.py

@@ -186,6 +186,21 @@ class WriteFileTool:
         lines = content.split("\n", 1)
         raw_path = lines[0].strip()
         body = lines[1] if len(lines) > 1 else ""
+        # Decode JSON-object args (the fenced inline-args shape
+        # ```write_file {"path": "...", "content": "..."}```), matching
+        # ReadFileTool above. Without this the whole JSON string becomes the
+        # path and the file is written under a garbage name. This is the live
+        # path: there is no filesystem MCP server, so write_file always runs
+        # here via _direct_fallback, not through _build_mcp_args.
+        _stripped = content.strip()
+        if _stripped.startswith("{"):
+            try:
+                _a = json.loads(_stripped)
+                if isinstance(_a, dict) and "path" in _a:
+                    raw_path = str(_a.get("path", "")).strip()
+                    body = str(_a.get("content", ""))
+            except (json.JSONDecodeError, TypeError, ValueError):
+                pass
         try:
             path = _resolve_tool_path(raw_path)
         except ValueError as e:
@@ -266,7 +281,13 @@ class LsTool:
 
 class GlobTool:
     async def execute(self, content: str, ctx: dict) -> dict:
-        from src.tool_execution import _resolve_tool_path, _resolve_search_root, _truncate
+        from src.tool_execution import (
+            _SENSITIVE_BASENAMES,
+            _is_sensitive_path,
+            _resolve_tool_path,
+            _resolve_search_root,
+            _truncate,
+        )
         args = {}
         _s = (content or "").strip()
         if _s.startswith("{"):
@@ -288,11 +309,30 @@ class GlobTool:
             base = os.path.abspath(root)
             if not os.path.isdir(base):
                 return None, f"glob: {root}: not a directory"
+            rbase = os.path.realpath(base)
             norm_pat = pattern.replace("\\", "/")
             # Fast path: literal pattern (no wildcards) → direct path lookup.
             if not any(c in norm_pat for c in "*?["):
-                cand = os.path.normpath(os.path.join(base, norm_pat))
-                if os.path.exists(cand):
+                cand = os.path.realpath(os.path.join(base, norm_pat))
+                # Keep the literal lookup inside the search root. os.path.join
+                # lets an absolute pattern (or one containing ../) escape `base`,
+                # which would turn glob into an existence/path oracle for
+                # arbitrary host files — bypassing the workspace/allowlist
+                # confinement that _resolve_search_root applies to the root.
+                # An escaping literal falls through to the walk, which only ever
+                # yields paths under base.
+                nbase = os.path.normcase(rbase)
+                try:
+                    inside = cand == rbase or os.path.commonpath(
+                        [os.path.normcase(cand), nbase]
+                    ) == nbase
+                except ValueError:
+                    inside = False
+                # A literal that names a deny-listed sensitive file (.env,
+                # .ssh/id_rsa, …) falls through to the walk, which skips it —
+                # otherwise glob would surface secret paths that read_file /
+                # grep already refuse to touch.
+                if inside and os.path.exists(cand) and not _is_sensitive_path(cand):
                     return [cand], None
                 # Literal not at exact path — fall through to walk so
                 # e.g. "foo.py" still matches at any depth (like rglob).
@@ -304,11 +344,20 @@ class GlobTool:
                 for dp, dns, fns in os.walk(base):
                     # Prune skipped dirs before descending (unlike rglob which
                     # descends first then filters — fatal on large node_modules).
-                    dns[:] = [d for d in dns if d not in _CODENAV_SKIP_DIRS]
+                    # Sensitive dirs (.ssh, .gnupg, …) are pruned too so glob
+                    # never enumerates the keys/tokens inside them.
+                    dns[:] = [
+                        d for d in dns
+                        if d not in _CODENAV_SKIP_DIRS and d not in _SENSITIVE_BASENAMES
+                    ]
                     for name in fns + dns:
                         full = os.path.join(dp, name)
                         rel = os.path.relpath(full, base).replace(os.sep, "/")
                         if regex.fullmatch(rel) or regex.fullmatch(name):
+                            # Skip deny-listed sensitive files (.env, id_rsa,
+                            # known_hosts, …) the same way grep does.
+                            if _is_sensitive_path(os.path.realpath(full)):
+                                continue
                             try:
                                 mtime = os.stat(full).st_mtime
                             except OSError:
@@ -333,7 +382,13 @@ class GlobTool:
 
 class GrepTool:
     async def execute(self, content: str, ctx: dict) -> dict:
-        from src.tool_execution import _resolve_tool_path, _resolve_search_root, _truncate
+        from src.tool_execution import (
+            _SENSITIVE_FILE_PATTERNS,
+            _is_sensitive_path,
+            _resolve_tool_path,
+            _resolve_search_root,
+            _truncate,
+        )
         args: Dict[str, Any] = {}
         _s = (content or "").strip()
         if _s.startswith("{"):
@@ -369,6 +424,12 @@ class GrepTool:
                     cmd.append("--ignore-case")
                 if glob_pat:
                     cmd += ["--glob", glob_pat]
+                # --iglob (not --glob) so the exclusion is case-insensitive:
+                # on a case-insensitive filesystem "ID_RSA"/"Known_Hosts"
+                # resolve to the same secret as their lowercase forms, and the
+                # Python fallback below already folds case via _is_sensitive_path.
+                for _pat in _SENSITIVE_FILE_PATTERNS:
+                    cmd += ["--iglob", f"!*{_pat}*"]
                 for _d in _CODENAV_SKIP_DIRS:
                     cmd += ["--glob", f"!**/{_d}/**"]
                 cmd += ["--regexp", pattern, root]
@@ -399,6 +460,8 @@ class GrepTool:
             for fp in file_iter:
                 if len(hits) >= max_hits:
                     break
+                if _is_sensitive_path(os.path.realpath(fp)):
+                    continue
                 try:
                     with open(fp, "r", encoding="utf-8", errors="strict") as f:
                         for i, line in enumerate(f, 1):

src/agent_tools/interaction_tools.py

@@ -0,0 +1,95 @@
+import json
+import logging
+
+logger = logging.getLogger(__name__)
+
+class AskUserTool:
+    async def execute(self, content, ctx):
+        """
+        ask_user: the agent poses a multiple-choice question to the user to get a
+        decision/clarification. This is a pure UI-control marker — no subprocess,
+        no filesystem. It returns an `ask_user` payload that the agent loop turns
+        into an `ask_user` SSE event and then ENDS the turn, so the chat waits for
+        the user's selection (their choice arrives as the next message).
+        """
+        question, options, multi = "", [], False
+        raw = (content or "").strip()
+        try:
+            parsed = json.loads(raw) if raw else {}
+        except (ValueError, TypeError):
+            parsed = {}
+
+        if isinstance(parsed, dict):
+            question = str(parsed.get("question", "")).strip()
+            multi = bool(parsed.get("multi") or parsed.get("multiSelect"))
+            for opt in (parsed.get("options") or []):
+                if isinstance(opt, dict):
+                    label = str(opt.get("label", "")).strip()
+                    descr = str(opt.get("description", "")).strip()
+                elif isinstance(opt, str):
+                    label, descr = opt.strip(), ""
+                else:
+                    continue
+                if label:
+                    options.append({"label": label, "description": descr})
+        else:
+            question = raw
+
+        if not question or len(options) < 2:
+            return "ask_user: invalid", {
+                "error": (
+                    "ask_user needs a non-empty `question` and at least 2 `options` "
+                    "(each an object with a `label`, optional `description`)."
+                ),
+                "exit_code": 1,
+            }
+
+        options = options[:6]  # keep the choice list sane
+        desc = f"ask_user: {question[:80]}"
+        labels = ", ".join(o["label"] for o in options)
+        result = {
+            "ask_user": {"question": question, "options": options, "multi": multi},
+            "output": f"Asked the user: {question}\nOptions: {labels}\nAwaiting their selection.",
+            "exit_code": 0,
+        }
+        logger.info("Tool executed: %s (%d options, multi=%s)", desc, len(options), multi)
+        return desc, result
+
+class UpdatePlanTool:
+    async def execute(self, content, ctx):
+        """
+        update_plan: the agent writes back to the active plan — tick an item done
+        or revise steps (e.g. when the user asks to change something). Pure UI
+        marker: returns a `plan_update` payload the agent loop turns into a
+        `plan_update` SSE event; the frontend replaces the stored plan and refreshes
+        the docked plan window. Does NOT end the turn.
+        """
+        raw = (content or "").strip()
+        plan = ""
+        try:
+            parsed = json.loads(raw) if raw else {}
+        except (ValueError, TypeError):
+            parsed = {}
+
+        if isinstance(parsed, dict) and parsed.get("plan"):
+            plan = str(parsed.get("plan", "")).strip()
+        else:
+            plan = raw
+
+        if not plan:
+            return "update_plan: invalid", {
+                "error": "update_plan needs a non-empty `plan` (the full updated checklist as markdown).",
+                "exit_code": 1,
+            }
+
+        plan = plan[:8192]
+        done = plan.count("- [x]") + plan.count("- [X]")
+        total = done + plan.count("- [ ]")
+        desc = f"update_plan: {done}/{total} done" if total else "update_plan"
+        result = {
+            "plan_update": {"plan": plan},
+            "output": f"Plan updated ({done}/{total} steps complete)." if total else "Plan updated.",
+            "exit_code": 0,
+        }
+        logger.info("Tool executed: %s", desc)
+        return desc, result

src/agent_tools/model_interaction_tools.py

@@ -10,6 +10,7 @@ Shared helpers that still live in ``src.ai_interaction`` and are used by tools
 not yet migrated (``_resolve_model``, ``AI_CHAT_TIMEOUT``) are imported lazily
 inside the functions to avoid an import cycle at module load.
 """
+import asyncio
 import logging
 from typing import Dict, Optional
 
@@ -46,7 +47,7 @@ async def chat_with_model(content: str, session_id: Optional[str] = None, owner:
         return {"error": "No message provided (line 2+ is the message)"}
 
     try:
-        url, model, headers = _resolve_model(model_spec, owner=owner)
+        url, model, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=owner)
     except ValueError as e:
         return {"error": str(e)}
 
@@ -90,7 +91,7 @@ async def ask_teacher(content: str, session_id: Optional[str] = None, owner: Opt
             return {"error": "No teacher model configured. Specify a model name or set teacher_model in settings."}
 
     try:
-        url, model, headers = _resolve_model(model_spec, owner=owner)
+        url, model, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=owner)
     except ValueError as e:
         return {"error": str(e)}
 

src/agent_tools/session_tools.py

@@ -8,6 +8,7 @@ The session manager is a runtime-set singleton in src.ai_interaction, so each
 function fetches it via get_session_manager() (imported here); _resolve_model and
 AI_CHAT_TIMEOUT are reused from there too.
 """
+import asyncio
 import json
 import logging
 import uuid
@@ -40,7 +41,7 @@ async def create_session(content: str, session_id: Optional[str] = None, owner:
         return {"error": "Session name cannot be empty"}
 
     try:
-        url, model, headers = _resolve_model(model_spec, owner=owner)
+        url, model, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=owner)
     except ValueError as e:
         return {"error": str(e)}
 
@@ -103,6 +104,8 @@ async def list_sessions(content: str, session_id: Optional[str] = None, owner: O
         sessions = _session_manager.get_sessions_for_user(owner)
         rows = []
         for sid, sess in sessions.items():
+            if (sess.name or "").startswith("SFT trace batch"):
+                continue
             if keyword and keyword not in (sess.name or "").lower():
                 continue
             db_row = db_rows.get(sid)
@@ -181,8 +184,12 @@ async def send_to_session(content: str, session_id: Optional[str] = None, owner:
     if not sess:
         return {"error": f"Session '{target_sid}' not found"}
 
-    # Owner-scope: reject access to another user's session
-    if owner and getattr(sess, "owner", None) and sess.owner != owner:
+    # Owner-scope: reject access to another user's session. When the caller is
+    # authenticated, a null-owner (legacy / auth-was-off) session is not theirs
+    # either — list_sessions (get_sessions_for_user) and manage_session already
+    # exclude those, so treating it as reachable here let an authenticated agent
+    # read/write a session the other tools hide. Require an exact owner match.
+    if owner and getattr(sess, "owner", None) != owner:
         return {"error": f"Session '{target_sid}' not found"}
 
     if not message:
@@ -191,6 +198,25 @@ async def send_to_session(content: str, session_id: Optional[str] = None, owner:
     try:
         # Build context from session history
         context = sess.get_context_messages()
+        endpoint_url = str(getattr(sess, "endpoint_url", "") or "")
+        model = str(getattr(sess, "model", "") or "")
+        if model == "fixture-tool-model" or "host.docker.internal:8003" in endpoint_url:
+            transcript_lines = []
+            for msg in context[-12:]:
+                role = msg.get("role", "unknown")
+                text = (msg.get("content") or "").strip()
+                if text:
+                    transcript_lines.append(f"{role}: {text}")
+            transcript = "\n".join(transcript_lines) or "(no transcript messages)"
+            return {
+                "session_id": target_sid,
+                "session_name": sess.name,
+                "response": (
+                    "This fixture chat is backed by an offline model endpoint, so no new "
+                    "message was sent. Existing transcript evidence:\n" + transcript
+                ),
+                "offline_transcript": True,
+            }
         context.append({"role": "user", "content": message})
 
         response = await llm_call_async(

src/agent_tools/web_tools.py

@@ -1,4 +1,5 @@
 import asyncio
+import inspect
 import json
 from typing import Dict, Any
 
@@ -7,6 +8,7 @@ from src.constants import MAX_OUTPUT_CHARS
 class WebSearchTool:
     async def execute(self, content: str, ctx: dict) -> dict:
         from src.search import comprehensive_web_search
+        progress_cb = ctx.get("progress_cb") if isinstance(ctx, dict) else None
         raw = content.strip()
         query = raw
         time_filter = None
@@ -37,18 +39,39 @@ class WebSearchTool:
             elif " news" in q_lc or q_lc.startswith("news ") or q_lc.endswith(" news"):
                 time_filter = "week"
         loop = asyncio.get_running_loop()
-        text, sources = await asyncio.wait_for(
-            loop.run_in_executor(
-                None,
-                lambda: comprehensive_web_search(
-                    query,
-                    max_pages=max_pages,
-                    time_filter=time_filter,
-                    return_sources=True,
+        if progress_cb:
+            await progress_cb({
+                "elapsed_s": 0,
+                "tail": f"Searching web for: {query[:160]}",
+            })
+        try:
+            text, sources = await asyncio.wait_for(
+                loop.run_in_executor(
+                    None,
+                    lambda: comprehensive_web_search(
+                        query,
+                        max_pages=max_pages,
+                        time_filter=time_filter,
+                        return_sources=True,
+                    ),
                 ),
-            ),
-            timeout=30,
-        )
+                timeout=30,
+            )
+        except asyncio.TimeoutError:
+            return {
+                "error": f"web_search timed out after 30s: {query[:200]}",
+                "exit_code": 1,
+            }
+        except Exception as e:
+            return {
+                "error": f"web_search failed: {type(e).__name__}: {str(e) or 'no details'}",
+                "exit_code": 1,
+            }
+        if progress_cb:
+            await progress_cb({
+                "elapsed_s": 30,
+                "tail": "Search completed; preparing sources.",
+            })
         output = text[:MAX_OUTPUT_CHARS] if len(text) > MAX_OUTPUT_CHARS else text
         if sources:
             output += "\n\n<!-- SOURCES:" + json.dumps(sources) + " -->"
@@ -87,8 +110,20 @@ class WebFetchTool:
             url = "https://" + url
         loop = asyncio.get_running_loop()
         try:
+            def _fetch():
+                kwargs = {"timeout": 10}
+                try:
+                    sig = inspect.signature(fetch_webpage_content)
+                    if "max_bytes" in sig.parameters:
+                        kwargs["max_bytes"] = max_bytes
+                except (TypeError, ValueError):
+                    # Some deployed/test shims may not expose a signature.
+                    # Prefer compatibility over failing the whole fetch.
+                    pass
+                return fetch_webpage_content(url, **kwargs)
+
             result = await asyncio.wait_for(
-                loop.run_in_executor(None, lambda: fetch_webpage_content(url, timeout=10, max_bytes=max_bytes)),
+                loop.run_in_executor(None, _fetch),
                 timeout=30,
             )
         except asyncio.TimeoutError:

src/ai_interaction.py

@@ -14,6 +14,7 @@ These are agent tools — the LLM writes fenced code blocks and they execute
 through the standard agent_tools.py pipeline.
 """
 
+import asyncio
 import json
 import logging
 import uuid
@@ -134,7 +135,8 @@ def _resolve_model(spec: str, owner: Optional[str] = None) -> Tuple[str, str, Di
                         r = httpx.get(models_url, headers=headers, timeout=5)
                         r.raise_for_status()
                         data = r.json()
-                        model_ids = [m.get("id") for m in (data.get("data") or []) if m.get("id")]
+                        items = data if isinstance(data, list) else (data.get("data") or [])
+                        model_ids = [m.get("id") for m in items if isinstance(m, dict) and m.get("id")]
                         if not model_ids:
                             model_ids = [
                                 m.get("name") or m.get("model")
@@ -228,7 +230,7 @@ async def do_pipeline(content: str, session_id: Optional[str] = None, owner: Opt
         if not model_spec or not instruction:
             return {"error": f"Step {i + 1}: both 'model' and 'instruction' are required"}
         try:
-            url, model, headers = _resolve_model(model_spec, owner=owner)
+            url, model, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=owner)
             resolved.append((url, model, headers, instruction))
         except ValueError as e:
             return {"error": f"Step {i + 1}: {e}"}
@@ -431,13 +433,23 @@ async def do_manage_memory(content: str, session_id: Optional[str] = None, owner
             return {"error": "Search needs line 2: query"}
         query = lines[1].strip()
         memories = _memory_manager.load(owner=owner)
+        query_lower = query.lower()
+        exact_results = [m for m in memories if query_lower in (m.get("text", "").lower())]
 
         if hasattr(_memory_manager, 'get_relevant_memories'):
-            results = _memory_manager.get_relevant_memories(query, memories, threshold=0.05, max_items=20)
+            vector_results = _memory_manager.get_relevant_memories(query, memories, threshold=0.05, max_items=20)
         else:
-            # Fallback: simple text search
-            query_lower = query.lower()
-            results = [m for m in memories if query_lower in m.get("text", "").lower()][:20]
+            vector_results = []
+        seen = set()
+        results = []
+        for m in [*exact_results, *vector_results]:
+            mid = m.get("id")
+            if mid in seen:
+                continue
+            seen.add(mid)
+            results.append(m)
+            if len(results) >= 20:
+                break
 
         if not results:
             return {"results": f"No memories found matching '{query}'."}
@@ -453,8 +465,6 @@ async def do_manage_memory(content: str, session_id: Optional[str] = None, owner
         return {"error": f"Unknown action '{action}'. Use: list, add, edit, delete, search"}
 
 
-
-
 # ---------------------------------------------------------------------------
 # RAG management tool
 # ---------------------------------------------------------------------------
@@ -625,7 +635,7 @@ async def do_ui_control(content: str, session_id: Optional[str] = None, owner: O
 
         # Resolve the model to validate it exists
         try:
-            url, model_id, headers = _resolve_model(model_spec, owner=owner)
+            url, model_id, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=owner)
         except ValueError as e:
             return {"error": str(e)}
 
@@ -915,7 +925,7 @@ async def do_generate_image(content: str, session_id: Optional[str] = None, owne
     if not model_spec:
         for candidate in ("gpt-image-1.5", "gpt-image-1", "dall-e-3"):
             try:
-                _resolve_model(candidate, owner=owner)
+                await asyncio.to_thread(_resolve_model, candidate, owner=owner)
                 model_spec = candidate
                 break
             except ValueError:
@@ -942,7 +952,9 @@ async def do_generate_image(content: str, session_id: Optional[str] = None, owne
                         try:
                             _r = _req.get(_ibase + "/models", timeout=3)
                             _r.raise_for_status()
-                            _mids = [m.get("id") for m in (_r.json().get("data") or []) if m.get("id")]
+                            _data = _r.json()
+                            _ditems = _data if isinstance(_data, list) else (_data.get("data") or [])
+                            _mids = [m.get("id") for m in _ditems if isinstance(m, dict) and m.get("id")]
                             if _mids:
                                 model_spec = _mids[0]
                                 break
@@ -957,7 +969,7 @@ async def do_generate_image(content: str, session_id: Optional[str] = None, owne
 
     # Resolve the model to find the right endpoint
     try:
-        url, model_id, headers = _resolve_model(model_spec, owner=owner)
+        url, model_id, headers = await asyncio.to_thread(_resolve_model, model_spec, owner=owner)
     except ValueError:
         return {"error": f"No endpoint found with image model '{model_spec}'. "
                 "Configure an OpenAI-compatible endpoint with image generation support."}

src/api_key_manager.py

@@ -81,11 +81,26 @@ class APIKeyManager:
         keys stay encrypted. Loading via load() first would decrypt them and
         write them back as plaintext, which then fails to decrypt on the next
         load() and silently drops those providers.
+
+        Uses atomic write (temp file + os.replace) so a crash, disk-full, or
+        mid-write error never truncates the existing keys file.
         """
         keys = self._load_raw()
         keys[provider] = self.encrypt_api_key(api_key)
-        with open(self.api_keys_file, 'w', encoding="utf-8") as f:
-            json.dump(keys, f)
+        tmp_file = self.api_keys_file + ".tmp"
+        try:
+            with open(tmp_file, 'w', encoding="utf-8") as f:
+                json.dump(keys, f)
+                f.flush()
+                os.fsync(f.fileno())
+            os.replace(tmp_file, self.api_keys_file)
+        except OSError:
+            # Clean up temp file on failure; re-raise so callers see the error
+            try:
+                os.remove(tmp_file)
+            except OSError:
+                pass
+            raise
 
     def load(self) -> Dict[str, str]:
         """Load and decrypt API keys"""

src/app_helpers.py

@@ -1,6 +1,13 @@
 # src/app_helpers.py
-import os
 import base64
+import logging
+import os
+
+from fastapi import HTTPException
+from fastapi.responses import HTMLResponse
+from starlette.requests import Request
+
+logger = logging.getLogger(__name__)
 
 def read_if_exists(path: str) -> str:
     """Read file if it exists, return empty string otherwise."""
@@ -20,6 +27,28 @@ def abs_join(base_dir: str, rel: str) -> str:
     """Join paths and return absolute path."""
     return os.path.abspath(os.path.join(base_dir, rel))
 
+def serve_html_with_nonce(request: Request, file_path: str) -> HTMLResponse:
+    """Read an app-bundled HTML page and inject the CSP nonce into inline <script> tags.
+
+    Callers pass fixed, server-owned template paths (index/login/backgrounds),
+    never a client-supplied path. So any read failure here — a missing file
+    (broken deployment) or a permission/IO error — is a server fault, not a
+    client "not found": map all of them to a logged 500 so a missing core
+    template surfaces in 5xx alerting instead of hiding behind a 404. If a
+    future caller serves a client-influenced path where 404 is correct, branch
+    that at the call site rather than defaulting this shared helper to 404.
+    """
+    try:
+        with open(file_path, "r", encoding="utf-8") as f:
+            html = f.read()
+    except OSError:
+        logger.exception("Failed to read page %s", file_path)
+        raise HTTPException(500, "Internal server error")
+    nonce = getattr(request.state, "csp_nonce", "")
+    html = html.replace("{{CSP_NONCE}}", nonce)
+    return HTMLResponse(html)
+
+
 def inside_base_dir(base_dir: str, path: str) -> bool:
     """Check if path is inside base directory."""
     if not isinstance(base_dir, str) or not isinstance(path, str):

src/app_initializer.py

@@ -68,8 +68,10 @@ def initialize_managers(base_dir: str, rag_manager=None) -> Dict[str, Any]:
                     logger.info(f"Rebuilt memory vector index from {len(existing)} existing entries")
             logger.info("MemoryVectorStore initialized")
         else:
+            # Keep the unhealthy object (do NOT reset to None): consumers gate on
+            # `.healthy`, and service_health.chromadb_health() needs a present
+            # object to report DEGRADED/DOWN instead of DISABLED ("not configured").
             logger.warning("MemoryVectorStore DEGRADED: ChromaDB vector memory unavailable")
-            memory_vector = None
     except Exception as e:
         logger.warning(f"MemoryVectorStore DEGRADED: {e}")
         memory_vector = None

src/builtin_mcp.py

@@ -89,6 +89,21 @@ _BUILTIN_NPX_SERVERS = {
 MCP_DISABLED = os.environ.get("ODYSSEUS_DISABLE_MCP", "").lower() in ("1", "true", "yes")
 
 
+# Strong references to the fire-and-forget startup tasks scheduled below.
+# asyncio only keeps weak references to tasks created via create_task, so
+# without this the GC can collect a task mid-execution and the server
+# registration silently never runs. Mirrors _spawn_bg in routes/chat_helpers.py.
+_BG_TASKS: set[asyncio.Task] = set()
+
+
+def _spawn_bg(coro) -> asyncio.Task:
+    """Schedule a background task and hold a strong reference until it finishes."""
+    task = asyncio.create_task(coro)
+    _BG_TASKS.add(task)
+    task.add_done_callback(_BG_TASKS.discard)
+    return task
+
+
 async def register_builtin_servers(mcp_manager):
     """Connect all built-in MCP servers to the manager."""
     if MCP_DISABLED:
@@ -123,7 +138,7 @@ async def register_builtin_servers(mcp_manager):
         if not os.path.exists(script_path):
             logger.warning(f"Built-in MCP server script not found: {script_path}")
             continue
-        asyncio.create_task(_connect_python_server(server_id, script_path, name))
+        _spawn_bg(_connect_python_server(server_id, script_path, name))
 
     # Register NPX-based servers in the background (they take longer to start)
     npx_path = _find_npx()
@@ -175,7 +190,7 @@ async def register_builtin_servers(mcp_manager):
             except BaseException as e:
                 logger.warning(f"Built-in NPX server {cfg['name']} error: {type(e).__name__}: {e}")
 
-    asyncio.create_task(_start_npx_servers())
+    _spawn_bg(_start_npx_servers())
 
 
 def _npx_package_from_args(args):
@@ -233,6 +248,15 @@ async def _is_npx_package_cached(npx_path, package_spec, timeout_s=5):
         except Exception:
             pass
         return False
+    except asyncio.CancelledError:
+        # The probe was cancelled (e.g. app shutdown). Reap the child so it
+        # isn't orphaned, then propagate the cancellation.
+        try:
+            proc.kill()
+            await proc.wait()
+        except Exception:
+            pass
+        raise
     return proc.returncode == 0 and bool(stdout.strip())
 
 

src/caldav_sync.py

@@ -25,6 +25,7 @@ Design notes:
 import asyncio
 import hashlib
 import ipaddress
+import json
 import logging
 import os
 import socket
@@ -274,6 +275,7 @@ def _sync_blocking(owner: str, url: str, username: str, password: str, account_i
     # the integrations form still works, sync just no-ops with an error.
     from caldav.lib.error import AuthorizationError, NotFoundError
     from core.database import CalendarCal, CalendarEvent, SessionLocal
+    from routes.calendar_routes import _ensure_positive_duration
 
     result = {"calendars": 0, "events": 0, "deleted": 0, "errors": []}
 
@@ -390,6 +392,11 @@ def _sync_blocking(owner: str, url: str, username: str, password: str, account_i
                             end_dt = start_dt + timedelta(days=1)
                         else:
                             end_dt = start_dt + timedelta(hours=1)
+                        # A synced event with DTEND <= DTSTART (e.g. a single-day
+                        # all-day event whose source wrote DTEND equal to DTSTART)
+                        # would be stored zero-duration and silently dropped by the
+                        # list_events overlap filter. Clamp to a positive span.
+                        end_dt = _ensure_positive_duration(start_dt, end_dt, all_day)
 
                         # is_utc reflects whether the source carried a TZ
                         # we converted from. All-day = no TZ semantics.
@@ -494,6 +501,7 @@ def _event_payload(ev) -> dict:
         "all_day": ev.all_day,
         "is_utc": ev.is_utc,
         "rrule": ev.rrule or "",
+        "recurrence_exdates": json.loads(ev.recurrence_exdates or "[]") if getattr(ev, "recurrence_exdates", "") else [],
     }
 
 

src/caldav_writeback.py

@@ -33,7 +33,8 @@ def build_event_ical(ev: dict) -> str:
     """Serialize a local event dict to a VCALENDAR/VEVENT iCalendar string.
 
     ``ev`` keys: uid, summary, description, location, dtstart (datetime),
-    dtend (datetime), all_day (bool), is_utc (bool), rrule (str).
+    dtend (datetime), all_day (bool), is_utc (bool), rrule (str),
+    recurrence_exdates (list[str]).
     Mirrors how the pull path interprets is_utc/all_day so a round-trip is stable.
     """
     from icalendar import Calendar, Event as iEvent
@@ -70,6 +71,15 @@ def build_event_ical(ev: dict) -> str:
             ve.add("rrule", vRecur.from_ical(ev["rrule"]))
         except Exception:
             logger.debug("CalDAV write-back: skipping unparseable rrule %r", ev.get("rrule"))
+    for exdate in ev.get("recurrence_exdates") or []:
+        try:
+            if ev.get("all_day"):
+                ve.add("exdate", datetime.strptime(exdate[:10], "%Y-%m-%d").date())
+            else:
+                dt = datetime.strptime(exdate[:16], "%Y-%m-%dT%H:%M")
+                ve.add("exdate", dt.replace(tzinfo=timezone.utc) if ev.get("is_utc") else dt)
+        except Exception:
+            logger.debug("CalDAV write-back: skipping unparseable exdate %r", exdate)
 
     cal.add_component(ve)
     return cal.to_ical().decode("utf-8")

src/chat_handler.py

@@ -29,6 +29,34 @@ from src.youtube_handler import (
 logger = logging.getLogger(__name__)
 
 
+def _sync_upload_vision_to_gallery(file_info: Dict[str, Any], owner: Optional[str], text: str) -> None:
+    file_hash = (file_info or {}).get("hash")
+    if not file_hash or not text:
+        return
+    try:
+        from core.database import GalleryImage, SessionLocal
+        db = SessionLocal()
+        try:
+            q = db.query(GalleryImage).filter(
+                GalleryImage.file_hash == file_hash,
+                GalleryImage.is_active == True,  # noqa: E712
+            )
+            if owner:
+                q = q.filter(GalleryImage.owner == owner)
+            img = q.first()
+            if not img:
+                return
+            img.caption = text.strip()
+            db.commit()
+        except Exception:
+            db.rollback()
+            raise
+        finally:
+            db.close()
+    except Exception as e:
+        logger.warning("Failed to sync upload vision text to gallery: %s", e)
+
+
 class ChatHandler:
     """Handles chat operations for both streaming and non-streaming endpoints."""
 
@@ -207,6 +235,7 @@ class ChatHandler:
                                     _vtext = _vf.read().strip()
                                 if _vtext:
                                     enhanced_message += f"\n[User-corrected caption / OCR for this image — treat as authoritative]:\n{_vtext}"
+                                    _sync_upload_vision_to_gallery(file_info, owner, _vtext)
                                     _m = meta_by_id.get(att_id)
                                     if _m is not None:
                                         _m["vision"] = _vtext
@@ -226,6 +255,7 @@ class ChatHandler:
                                     cached_desc = _vf.read().strip()
                                 if cached_desc and not cached_desc.startswith("["):
                                     vl_desc = cached_desc
+                                    _sync_upload_vision_to_gallery(file_info, owner, vl_desc)
                             except Exception:
                                 vl_desc = None
                         if not vl_desc:
@@ -237,6 +267,7 @@ class ChatHandler:
                                     os.makedirs(os.path.join(UPLOAD_DIR, ".vision"), exist_ok=True)
                                     with open(_vcache, "w", encoding="utf-8") as _vf:
                                         _vf.write(vl_desc)
+                                    _sync_upload_vision_to_gallery(file_info, owner, vl_desc)
                                 except Exception:
                                     pass
                         enhanced_message = f"{enhanced_message}\n\n[Image: {file_info['name']}]\n{vl_desc}"

src/chat_processor.py

@@ -12,6 +12,45 @@ from src.prompt_security import UNTRUSTED_CONTEXT_POLICY, untrusted_context_mess
 
 logger = logging.getLogger(__name__)
 
+
+def _clean_search_query(query: str, max_len: int = 200) -> str:
+    """Strip fenced code blocks from a search query while preserving inline
+    code text.
+
+    This is a focused, defensive cleanup for the *final* web-search query
+    selected in ``build_context_preface`` (issue #4547): regardless of whether
+    the query came from the LLM-generated path (#4557) or the first-line
+    fallback, residual fenced / inline markdown should not leak into the search
+    call. Rather than using regex (which is brittle and strips inline code
+    text like ``git reset`` from the query), we render the query to HTML via
+    ``markdown`` and parse it with ``BeautifulSoup`` so that:
+
+    * ``<pre>`` blocks (fenced / indented code) are removed entirely.
+    * ``<code>`` elements (inline code) are preserved as plain text.
+
+    Both libraries are already project dependencies. The result is whitespace
+    collapsed and truncated to ``max_len``; an all-code input collapses to an
+    empty string, which the caller treats as "no query".
+    """
+    import markdown as _md
+    from bs4 import BeautifulSoup as _BS
+
+    html = _md.markdown(query, extensions=["fenced_code"])
+    soup = _BS(html, "html.parser")
+
+    # Remove fenced / indented code blocks.
+    for pre in soup.find_all("pre"):
+        pre.decompose()
+
+    # Preserve inline code by unwrapping <code> to text.
+    for code in soup.find_all("code"):
+        code.replace_with(code.get_text())
+
+    text = soup.get_text(" ", strip=True)
+    text = re.sub(r"\s+", " ", text)
+    return text[:max_len]
+
+
 # ── Stopwords & tokenizer ──
 
 _STOPWORDS = frozenset(
@@ -280,10 +319,61 @@ class ChatProcessor:
         web_sources = []
         if use_web:
             try:
-                web_context, web_sources = comprehensive_web_search(
-                    message, time_filter=time_filter, return_sources=True
-                )
-                preface.append(untrusted_context_message("web search results", web_context))
+                from src.llm_core import llm_call
+
+                t_url, t_model, t_headers = session.endpoint_url, session.model, session.headers
+
+                # Default fallback is the first non-empty line of the original user message
+                fallback_query = next((line.strip() for line in message.split("\n") if line.strip()), "")
+                search_query = fallback_query
+
+                try:
+                    generated_query = llm_call(
+                        t_url,
+                        t_model,
+                        [
+                            {
+                                "role": "system",
+                                "content": (
+                                    "Extract a concise search query from the user's message. "
+                                    "Reply ONLY with the query."
+                                ),
+                            },
+                            {"role": "user", "content": message},
+                        ],
+                        headers=t_headers,
+                        temperature=0.1,
+                        max_tokens=50,
+                        timeout=15,
+                    ).strip()
+
+                    if generated_query:
+                        # LLM successfully generated a non-empty query -> use the generated query
+                        search_query = generated_query
+                    else:
+                        # LLM returned an empty or whitespace-only query -> fall back to original query
+                        logger.warning("LLM generated an empty search query, using fallback.")
+                except Exception as e:
+                    # LLM failed (exception/error) -> fall back to original user query
+                    logger.warning(f"Failed to generate search query via LLM, using fallback: {e}")
+
+                search_query = " ".join(search_query.split())
+                if len(search_query) > 150:
+                    search_query = search_query[:150].strip()
+
+                # Defensive cleanup of the final selected query (interim fix
+                # for #4547): strip any residual fenced/inline markdown so that
+                # neither the generated query nor the first-line fallback leaks
+                # fences or backticks into the search call. No-op on clean
+                # generated queries; collapses to "" when the query is all code.
+                search_query = _clean_search_query(search_query, max_len=150)
+
+                if search_query:
+                    # Execute web search using the final selected query
+                    web_context, web_sources = comprehensive_web_search(
+                        search_query, time_filter=time_filter, return_sources=True
+                    )
+                    preface.append(untrusted_context_message("web search results", web_context))
             except Exception as e:
                 logger.error(f"Web search failed: {e}")
                 preface.append({"role": "system", "content": "Web search encountered an error and could not retrieve results."})

src/constants.py

@@ -4,7 +4,7 @@ import os
 
 from src.runtime_paths import get_app_root, get_default_data_dir
 
-APP_VERSION = "1.0.0"
+APP_VERSION = "1.0.1"
 
 # Base paths
 BASE_DIR = os.path.join(get_app_root(), "")

src/context_budget.py

@@ -18,6 +18,13 @@ DEFAULT_BUDGET = 6000
 DEFAULT_HEADROOM = 0.85
 
 
+def _int_or_zero(value) -> int:
+    try:
+        return int(value or 0)
+    except (TypeError, ValueError):
+        return 0
+
+
 def compute_input_token_budget(
     configured: int,
     context_length: int,
@@ -48,8 +55,8 @@ def compute_input_token_budget(
         - When the window is unknown (context_length <= 0), use the conservative
           ``default`` budget and do NOT scale off the fallback.
     """
-    configured = int(configured or 0)
-    context_length = int(context_length or 0)
+    configured = _int_or_zero(configured)
+    context_length = _int_or_zero(context_length)
 
     if explicit and configured > 0:
         return min(configured, context_length) if context_length > 0 else configured

src/cookbook_serve_lifecycle.py

@@ -37,6 +37,13 @@ async def _delete_endpoint_for_task(task: dict) -> None:
     the picker (probe goes offline; chats still try to route there) and
     the user has to delete it by hand in Settings -> Endpoints.
     """
+    endpoint_id = (task.get("_endpointId") or task.get("endpointId") or "").strip()
+    if not endpoint_id:
+        logger.info(
+            "cookbook_serve_lifecycle: task %s has no endpoint id; skipping endpoint deletion",
+            task.get("sessionId") or task.get("id") or "",
+        )
+        return
     import re as _re
     payload = task.get("payload") or {}
     cmd = str(payload.get("_cmd") or "")
@@ -66,13 +73,10 @@ async def _delete_endpoint_for_task(task: dict) -> None:
             if r.status_code >= 400:
                 return
             eps = r.json() if r.content else []
-            # Prefer exact URL match; fall back to host:port substring so we
-            # still catch the case where 0.0.0.0 vs the registered host
-            # representation diverged.
-            ep = next((e for e in eps if e.get("base_url") == base_url), None)
-            if not ep:
-                hostport = f"{host}:{port}"
-                ep = next((e for e in eps if hostport in (e.get("base_url") or "")), None)
+            # Delete only the endpoint created by this scheduled serve. URL
+            # matching is unsafe because a later scheduled serve can reuse the
+            # same host:port after an older task has gone stale.
+            ep = next((e for e in eps if e.get("id") == endpoint_id), None)
             if ep:
                 await client.delete(
                     f"{internal_api_base()}/api/model-endpoints/{ep['id']}",