unsloth/studio/backend/main.py
Daniel Han c690b28e99
Studio: warn when llama.cpp prebuilt is at least 3 days behind (#5529)
* Studio: warn when llama.cpp prebuilt is at least 3 days behind

Layered on #5528. Generalises the MTP-specific staleness warning to
every llama.cpp prebuilt update, not just the ones that add MTP. If
the installed prebuilt is at least 3 days old AND its tag differs
from the latest published tag on the helper release repo (default
unslothai/llama.cpp), Studio nudges the user to run
"unsloth studio update".

How it works

Reads the install marker UNSLOTH_PREBUILT_INFO.json that
install_llama_prebuilt.py already writes to install_dir. The marker
carries the installed tag, the helper repo, and an installed_at_utc
timestamp. Studio compares those against the latest published tag
from the GitHub releases API for the helper repo.

GitHub fetch is cached at two levels:
- Process-level memo for /status hot path.
- Disk-level cache (24h TTL) at ~/.unsloth/studio/cache/llama_cpp_freshness/
  so cold-start Studio launches do not always hit the API.

On a transient fetch failure (offline, rate-limited) we keep the
last-good disk value alive rather than poisoning the cache with None.
The check fails open: if anything is missing (marker, timestamp,
GitHub response), stale stays False so users never see a misleading
banner.

Surfaced in two places

1. Startup banner (logs + stderr) in main.py:lifespan(), alongside the
   MTP capability probe added in #5528. Single line, e.g.:
     WARNING: llama.cpp prebuilt is 5 days behind: installed b9190,
     latest b9300. Run "unsloth studio update" to refresh.

2. /api/inference/status now returns:
     llama_cpp_prebuilt_stale: bool
     llama_cpp_installed_tag:  str | None
     llama_cpp_latest_tag:     str | None
   so the frontend can render a banner / popup with the actual tag
   delta the user is missing.

3-day threshold

Mirrors the typical Unsloth llama.cpp release cadence. Anything
shorter would nag users who restart Studio at the wrong moment;
longer leaves real bugs sitting on the user's machine. Configurable
via the threshold_days kwarg if a future call site wants a different
window.

Tests

17 new cases in tests/test_llama_cpp_freshness.py cover marker
discovery in both cmake and root install layouts, missing / invalid
marker, GitHub fetch caching across process restarts (disk cache hit
after the in-memory cache is reset), the stale / not-stale decision
matrix (tag mismatch + age threshold), fail-open behaviour when
GitHub is unreachable, custom threshold, singular/plural day in the
warning string, and unparseable installed_at_utc. The broader
205-test inference regression suite still passes.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2026-05-18 00:21:50 -07:00

787 lines
27 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""
Main FastAPI application for Unsloth UI Backend
"""
import os
import sys
from pathlib import Path as _Path
# Suppress annoying C-level dependency warnings globally
os.environ["PYTHONWARNINGS"] = "ignore"
# Ensure backend dir is on sys.path so _platform_compat is importable when
# main.py is launched directly (e.g. `uvicorn main:app`).
_backend_dir = str(_Path(__file__).parent)
if _backend_dir not in sys.path:
sys.path.insert(0, _backend_dir)
# Fix for Anaconda/conda-forge Python: seed platform._sys_version_cache before
# any library imports that trigger attrs -> rich -> structlog -> platform crash.
# See: https://github.com/python/cpython/issues/102396
import _platform_compat # noqa: F401
# Direct `uvicorn main:app` launches bypass run.py, so re-export here too
# (mirrors run.py). Required BEFORE the unsloth-zoo import below, since
# its LLAMA_CPP_DEFAULT_DIR binding is import-time.
from utils.paths.storage_roots import studio_root as _studio_root
try:
_LEGACY_STUDIO_ROOT = (_Path.home() / ".unsloth" / "studio").resolve()
except (OSError, ValueError):
_LEGACY_STUDIO_ROOT = _Path.home() / ".unsloth" / "studio"
try:
_STUDIO_ROOT_RESOLVED = _studio_root().resolve()
except (OSError, ValueError):
_STUDIO_ROOT_RESOLVED = _studio_root()
if _STUDIO_ROOT_RESOLVED != _LEGACY_STUDIO_ROOT:
if not os.environ.get("UNSLOTH_STUDIO_HOME"):
os.environ["UNSLOTH_STUDIO_HOME"] = str(_STUDIO_ROOT_RESOLVED)
if not os.environ.get("UNSLOTH_LLAMA_CPP_PATH"):
os.environ["UNSLOTH_LLAMA_CPP_PATH"] = str(_STUDIO_ROOT_RESOLVED / "llama.cpp")
import hashlib
import mimetypes
import re as _re
import shutil
import warnings
from contextlib import asynccontextmanager
from importlib.metadata import PackageNotFoundError, version as package_version
_STUDIO_INSTALL_ID_RE = _re.compile(r"^[0-9a-f]{64}$")
def _read_studio_install_id() -> str:
"""Per-install opaque id written by install.sh / install.ps1 at
$STUDIO_HOME/share/studio_install_id. Returns "" when the file is
absent (pre-PR install, fresh tree never run through the installer)
or contains anything other than a 64-char lowercase-hex token --
in which case /api/health emits "" and the launcher's _check_health
falls back to the existing "no baked id, accept any healthy
Unsloth backend" path. This intentionally replaces a previous
sha256(resolved_install_path) so the field carries no install-path
information for callers reaching /api/health (relevant when Studio
is run with -H 0.0.0.0)."""
try:
token = (
(_STUDIO_ROOT_RESOLVED / "share" / "studio_install_id").read_text().strip()
)
except (OSError, ValueError):
return ""
return token if _STUDIO_INSTALL_ID_RE.fullmatch(token) else ""
_STUDIO_ROOT_ID_CACHE: str = _read_studio_install_id()
def _studio_root_id() -> str:
"""Same-install discriminator for /api/health: a per-install opaque
token written once by the installer and read once at module import.
Empty when no installer-written token is present; the launcher
contract treats "" as "no baked id, accept any healthy backend"."""
return _STUDIO_ROOT_ID_CACHE
# Fix broken Windows registry MIME types. Some Windows installs map .js to
# "text/plain" in the registry (HKCR\.js\Content Type). Python's mimetypes
# module reads from the registry, and FastAPI/Starlette's StaticFiles uses
# mimetypes.guess_type() to set Content-Type headers. Browsers enforce strict
# MIME checking for ES module scripts (<script type="module">) and will refuse
# to execute .js files served as text/plain — resulting in a blank page.
# Calling add_type() *before* StaticFiles is instantiated ensures the correct
# types are used regardless of the OS registry.
if sys.platform == "win32":
mimetypes.add_type("application/javascript", ".js")
mimetypes.add_type("text/css", ".css")
# Suppress annoying dependency warnings in production
if os.getenv("ENVIRONMENT_TYPE", "production") == "production":
warnings.filterwarnings("ignore")
# Alternatively, you can be more specific:
# warnings.filterwarnings("ignore", category=DeprecationWarning)
# warnings.filterwarnings("ignore", module="triton.*")
from fastapi import Depends, FastAPI, HTTPException, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse, HTMLResponse, Response
from pathlib import Path
from datetime import datetime
# Import routers
from routes import (
auth_router,
data_recipe_router,
datasets_router,
export_router,
inference_router,
inference_studio_router,
models_router,
providers_router,
training_history_router,
training_router,
)
from auth import storage
from auth.authentication import get_current_subject
from utils.hardware import (
detect_hardware,
get_device,
DeviceType,
get_backend_visible_gpu_info,
)
import utils.hardware.hardware as _hw_module
from utils.cache_cleanup import clear_unsloth_compiled_cache
from utils.native_path_leases import native_path_leases_supported
from utils.update_status import (
get_studio_install_source_status,
get_studio_update_status,
)
from utils.studio_version import get_studio_version
def get_unsloth_version() -> str:
try:
return package_version("unsloth")
except PackageNotFoundError:
pass
version_file = (
_Path(__file__).resolve().parents[2] / "unsloth" / "models" / "_utils.py"
)
try:
for line in version_file.read_text(encoding = "utf-8").splitlines():
if line.startswith("__version__ = "):
return line.split("=", 1)[1].strip().strip('"').strip("'")
except OSError:
pass
return "dev"
UNSLOTH_VERSION = get_unsloth_version()
STUDIO_VERSION = get_studio_version()
def _load_desktop_owner() -> dict[str, str] | None:
token = os.environ.pop("UNSLOTH_STUDIO_DESKTOP_OWNER_TOKEN", "")
kind = os.environ.pop("UNSLOTH_STUDIO_DESKTOP_OWNER_KIND", "")
if kind != "tauri" or not token:
return None
return {
"kind": "tauri",
"token_sha256": hashlib.sha256(token.encode("utf-8")).hexdigest(),
}
_DESKTOP_OWNER = _load_desktop_owner()
def _desktop_owner() -> dict[str, str] | None:
return _DESKTOP_OWNER
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Startup: detect hardware, seed default admin if needed. Shutdown: clean up compiled cache."""
# Clean up any stale compiled cache from previous runs
clear_unsloth_compiled_cache()
# Remove stale .venv_overlay from previous versions — no longer used.
# Version switching now uses .venv_t5/ (pre-installed by setup.sh).
overlay_dir = Path(__file__).resolve().parent.parent.parent / ".venv_overlay"
if overlay_dir.is_dir():
shutil.rmtree(overlay_dir, ignore_errors = True)
# Detect hardware first — sets DEVICE global used everywhere
detect_hardware()
# llama.cpp probes: capability (MTP support) + freshness (release age).
# Both cached; freshness has a 24h disk TTL.
try:
from core.inference.llama_cpp import LlamaCppBackend
from utils.llama_cpp_freshness import (
check_prebuilt_freshness,
format_stale_warning,
)
_bin = LlamaCppBackend._find_llama_server_binary()
_caps = LlamaCppBackend.probe_server_capabilities(_bin)
app.state.llama_cpp_capabilities = _caps
_freshness = check_prebuilt_freshness(_bin)
app.state.llama_cpp_freshness = _freshness
import structlog as _structlog
_log = _structlog.get_logger(__name__)
if _caps.get("found") and not _caps.get("supports_mtp"):
_msg = (
"llama.cpp prebuilt lacks MTP support "
"(--spec-type mtp/draft-mtp). Run `unsloth studio update`. "
"MTP GGUFs will load without speculative decoding."
)
_log.warning(_msg)
print(f"WARNING: {_msg}", flush = True)
if _freshness.get("stale"):
_msg = format_stale_warning(_freshness)
_log.warning(_msg)
print(f"WARNING: {_msg}", flush = True)
except Exception as _probe_exc:
import structlog as _structlog
_structlog.get_logger(__name__).debug(
"llama.cpp startup probes failed: %s", _probe_exc
)
from storage.studio_db import cleanup_orphaned_runs
try:
cleanup_orphaned_runs()
except Exception as exc:
import structlog
structlog.get_logger(__name__).warning(
"cleanup_orphaned_runs failed at startup: %s", exc
)
# Pre-cache the helper GGUF model for LLM-assisted dataset detection.
# Runs in a background thread so it doesn't block server startup.
import threading
def _precache():
try:
from utils.datasets.llm_assist import precache_helper_gguf
precache_helper_gguf()
except Exception:
pass # non-critical
threading.Thread(target = _precache, daemon = True).start()
# Initialize RSA key pair for API key encryption (external providers)
from core.inference.key_exchange import init_key_pair
init_key_pair()
if storage.ensure_default_admin():
bootstrap_pw = storage.get_bootstrap_password()
app.state.bootstrap_password = bootstrap_pw
bootstrap_path = storage.DB_PATH.parent / ".bootstrap_password"
print("\n" + "=" * 60)
print("DEFAULT ADMIN ACCOUNT CREATED")
print(f" username: {storage.DEFAULT_ADMIN_USERNAME}")
print(f" password saved to: {bootstrap_path}")
print(" Open the Studio UI to sign in and change it.")
print("=" * 60 + "\n")
else:
app.state.bootstrap_password = storage.get_bootstrap_password()
yield
# Cleanup
_hw_module.DEVICE = None
clear_unsloth_compiled_cache()
# Create FastAPI app
app = FastAPI(
title = "Unsloth UI Backend",
version = UNSLOTH_VERSION,
description = "Backend API for Unsloth UI - Training and Model Management",
lifespan = lifespan,
)
# Initialize structured logging
from loggers.config import LogConfig
from loggers.handlers import LoggingMiddleware
logger = LogConfig.setup_logging(
service_name = "unsloth-studio-backend",
env = os.getenv("ENVIRONMENT_TYPE", "production"),
)
app.add_middleware(LoggingMiddleware)
# Citation favicons load from www.google.com/s2/favicons; *.gstatic.com is
# kept for legacy web-search faviconV2 paths. Everything else is same-origin.
from starlette.middleware.base import BaseHTTPMiddleware # noqa: E402
from starlette.requests import Request as _StarletteRequest # noqa: E402
_CSP_SCRIPT_NONCE_HEADER = "x-internal-script-nonce"
def _build_csp(script_nonce: "str | None" = None) -> str:
script_src = "script-src 'self'"
if script_nonce:
script_src += f" 'nonce-{script_nonce}'"
return (
"default-src 'self'; "
"img-src 'self' data: blob: https://t0.gstatic.com "
"https://t1.gstatic.com https://t2.gstatic.com "
"https://t3.gstatic.com https://www.google.com; "
"connect-src 'self' https://huggingface.co https://datasets-server.huggingface.co; "
"style-src 'self' 'unsafe-inline'; "
f"{script_src}; "
"font-src 'self' data:; "
"frame-ancestors 'none'; "
"form-action 'self'; "
"base-uri 'self'"
)
class SecurityHeadersMiddleware(BaseHTTPMiddleware):
"""Set baseline security headers; splice per-response inline-script nonces into CSP."""
async def dispatch(self, request: _StarletteRequest, call_next):
response = await call_next(request)
# Strip the internal nonce hand-off header so it never reaches the client.
nonce = response.headers.get(_CSP_SCRIPT_NONCE_HEADER)
if nonce is not None:
del response.headers[_CSP_SCRIPT_NONCE_HEADER]
response.headers.setdefault("Content-Security-Policy", _build_csp(nonce))
response.headers.setdefault("X-Frame-Options", "DENY")
response.headers.setdefault("X-Content-Type-Options", "nosniff")
response.headers.setdefault("Referrer-Policy", "no-referrer")
response.headers.setdefault(
"Permissions-Policy",
"camera=(), microphone=(), geolocation=(), interest-cohort=()",
)
response.headers["server"] = "unsloth-studio"
return response
app.add_middleware(SecurityHeadersMiddleware)
# Cap upload body on protected POSTs; default 500 MB, env-tunable.
import json as _json_for_413 # noqa: E402
_MAX_BODY_BYTES = int(os.environ.get("UNSLOTH_STUDIO_MAX_BODY_MB", "500")) * 1024 * 1024
_BODY_PROTECTED_PREFIXES = (
"/v1/chat/completions",
"/v1/completions",
"/api/inference",
"/api/data-recipe",
"/api/datasets",
"/api/train",
"/api/export",
)
async def _send_413(send, total_bytes: int) -> None:
payload = _json_for_413.dumps(
{
"detail": (
f"Request body too large "
f"({total_bytes:,} bytes; max {_MAX_BODY_BYTES:,})."
)
},
).encode("utf-8")
await send(
{
"type": "http.response.start",
"status": 413,
"headers": [
(b"content-type", b"application/json"),
(b"content-length", str(len(payload)).encode("ascii")),
],
}
)
await send({"type": "http.response.body", "body": payload, "more_body": False})
class MaxBodyMiddleware:
"""Reject oversized bodies on protected POST/PUT/PATCH; raw ASGI so chunked uploads cannot bypass the cap."""
def __init__(self, app, max_bytes: int, protected_prefixes: tuple):
self.app = app
self.max_bytes = max_bytes
self.protected_prefixes = protected_prefixes
async def __call__(self, scope, receive, send):
if scope["type"] != "http":
await self.app(scope, receive, send)
return
method = scope.get("method", "").upper()
path = scope.get("path", "")
if method not in ("POST", "PUT", "PATCH") or not any(
path.startswith(p) for p in self.protected_prefixes
):
await self.app(scope, receive, send)
return
declared = None
for name, value in scope.get("headers", []):
if name == b"content-length":
try:
declared = int(value.decode("latin-1"))
except (ValueError, UnicodeDecodeError):
declared = None
break
if declared is not None and declared > self.max_bytes:
await _send_413(send, declared)
return
chunks: list = []
total = 0
while True:
msg = await receive()
mtype = msg.get("type")
if mtype == "http.disconnect":
return
if mtype != "http.request":
# Mid-stream unexpected frame: forwarding would corrupt downstream.
return
body = msg.get("body", b"") or b""
if body:
total += len(body)
if total > self.max_bytes:
await _send_413(send, total)
return
chunks.append(body)
if not msg.get("more_body", False):
break
replayed = {"sent": False}
async def replay_receive():
if not replayed["sent"]:
replayed["sent"] = True
return {
"type": "http.request",
"body": b"".join(chunks),
"more_body": False,
}
# After replay, fall through so http.disconnect still propagates.
return await receive()
await self.app(scope, replay_receive, send)
app.add_middleware(
MaxBodyMiddleware,
max_bytes = _MAX_BODY_BYTES,
protected_prefixes = _BODY_PROTECTED_PREFIXES,
)
from starlette.responses import RedirectResponse as _RedirectResponse # noqa: E402
@app.get("/recipes", include_in_schema = False)
@app.get("/recipes/{rest:path}", include_in_schema = False)
async def _recipes_redirect(rest: str = ""):
target = "/data-recipes" + (("/" + rest) if rest else "")
return _RedirectResponse(url = target, status_code = 308)
# CORS middleware
_api_only = os.environ.get("UNSLOTH_API_ONLY") == "1"
_cors_origins = ["*"]
if _api_only:
_cors_origins = [
"tauri://localhost", # Linux/macOS Tauri webview
"http://tauri.localhost", # Windows Tauri webview
"http://localhost", # dev fallback
"http://localhost:5173", # Tauri dev/Vite
"http://127.0.0.1:5173", # Tauri dev/Vite fallback
]
_cors_origin_regex = None
else:
_cors_origin_regex = None
app.add_middleware(
CORSMiddleware,
allow_origins = _cors_origins,
allow_origin_regex = _cors_origin_regex,
allow_credentials = True,
allow_methods = ["*"],
allow_headers = ["*"],
)
# ============ Register API Routes ============
# Register routers
app.include_router(auth_router, prefix = "/api/auth", tags = ["auth"])
app.include_router(training_router, prefix = "/api/train", tags = ["training"])
app.include_router(models_router, prefix = "/api/models", tags = ["models"])
app.include_router(inference_router, prefix = "/api/inference", tags = ["inference"])
# Studio-only inference endpoints (cancel, etc.) are intentionally NOT
# exposed on the /v1 OpenAI-compat prefix below.
app.include_router(inference_studio_router, prefix = "/api/inference", tags = ["inference"])
# OpenAI-compatible endpoints: mount the same inference router at /v1
# so external tools (Open WebUI, SillyTavern, etc.) can use the
# standard /v1/chat/completions path.
app.include_router(inference_router, prefix = "/v1", tags = ["openai-compat"])
app.include_router(providers_router, prefix = "/api/providers", tags = ["providers"])
app.include_router(datasets_router, prefix = "/api/datasets", tags = ["datasets"])
app.include_router(data_recipe_router, prefix = "/api/data-recipe", tags = ["data-recipe"])
app.include_router(export_router, prefix = "/api/export", tags = ["export"])
app.include_router(
training_history_router, prefix = "/api/train", tags = ["training-history"]
)
# ============ Health and System Endpoints ============
@app.get("/api/health")
async def health_check(request: Request):
"""Liveness plus launcher capability bits; install fingerprint gated on a valid bearer.
Unauthenticated callers (Tauri watchdog, frontend bootstrap polls) need
``service`` / ``studio_root_id`` / ``chat_only`` / ``desktop_*`` / ``native_path_leases_supported``
to (a) re-adopt a sibling backend across restarts and (b) gate UI surfaces
before any token is available. None of those leak install path or version.
``version`` / ``studio_version`` / ``device_type`` still require a bearer
because they fingerprint the host.
"""
base = {
"status": "healthy",
"timestamp": datetime.now().isoformat(),
"service": "Unsloth UI Backend",
"chat_only": _hw_module.CHAT_ONLY,
"desktop_protocol_version": 1,
"desktop_manageability_version": 1,
"supports_desktop_auth": True,
"supports_desktop_backend_ownership": True,
# Opaque per-install id; launchers reject sibling Studios on the same port.
"studio_root_id": _studio_root_id(),
"native_path_leases_supported": native_path_leases_supported(),
**({"desktop_owner": owner} if (owner := _desktop_owner()) else {}),
}
auth = request.headers.get("authorization", "")
if not auth.lower().startswith("bearer "):
return base
try:
from auth.authentication import get_current_subject as _gcs
from fastapi.security import HTTPAuthorizationCredentials
creds = HTTPAuthorizationCredentials(
scheme = "Bearer", credentials = auth.split(" ", 1)[1]
)
# Must await: a bare coroutine is truthy and would skip the auth check.
subject = await _gcs(creds)
except HTTPException:
return base
except Exception:
return base
if not subject:
return base
platform_map = {"darwin": "mac", "win32": "windows", "linux": "linux"}
device_type = platform_map.get(sys.platform, sys.platform)
return {
**base,
"version": UNSLOTH_VERSION,
"studio_version": STUDIO_VERSION,
"device_type": device_type,
}
@app.get("/api/studio/install-source")
def studio_install_source(_current_subject: str = Depends(get_current_subject)):
"""Return source-aware install metadata without remote update checks."""
return get_studio_install_source_status(UNSLOTH_VERSION)
@app.get("/api/studio/update-status")
def studio_update_status(_current_subject: str = Depends(get_current_subject)):
"""Return source-aware manual update status for browser-served Studio."""
return get_studio_update_status(UNSLOTH_VERSION)
@app.post("/api/shutdown")
async def shutdown_server(
request: Request,
current_subject: str = Depends(get_current_subject),
):
"""Gracefully shut down the Unsloth Studio server.
Called by the frontend quit dialog so users can stop the server from the UI
without needing to use the CLI or kill the process manually.
"""
import asyncio
async def _delayed_shutdown():
await asyncio.sleep(0.2) # Let the HTTP response return first
trigger = getattr(request.app.state, "trigger_shutdown", None)
if trigger is not None:
trigger()
else:
# Fallback when not launched via run_server() (e.g. direct uvicorn)
import signal
import os
os.kill(os.getpid(), signal.SIGTERM)
request.app.state._shutdown_task = asyncio.create_task(_delayed_shutdown())
return {"status": "shutting_down"}
@app.get("/api/system")
async def get_system_info(
current_subject: str = Depends(get_current_subject),
):
"""Get system information.
Gated behind auth: the response includes platform, Python version,
GPU name, memory total, and ML package set -- enough to fingerprint
a host. Studio's chat-only-mode design assumes only the local user
reaches /api/system; in -H 0.0.0.0 / Colab / Tauri-relayed setups
that assumption breaks unless we require a bearer.
"""
import platform
import psutil
from utils.hardware import get_device
from utils.hardware.hardware import _backend_label
visibility_info = get_backend_visible_gpu_info()
gpu_info = {
"available": visibility_info["available"],
"devices": visibility_info["devices"],
}
# CPU & Memory
memory = psutil.virtual_memory()
return {
"platform": platform.platform(),
"python_version": platform.python_version(),
# Use the centralized _backend_label helper so the /api/system
# endpoint reports "rocm" on AMD hosts instead of "cuda", matching
# the /api/hardware and /api/gpu-visibility endpoints.
"device_backend": _backend_label(get_device()),
"cpu_count": psutil.cpu_count(),
"memory": {
"total_gb": round(memory.total / 1e9, 2),
"available_gb": round(memory.available / 1e9, 2),
"percent_used": memory.percent,
},
"gpu": gpu_info,
}
@app.get("/api/system/gpu-visibility")
async def get_gpu_visibility(
current_subject: str = Depends(get_current_subject),
):
return get_backend_visible_gpu_info()
@app.get("/api/system/hardware")
async def get_hardware_info(
current_subject: str = Depends(get_current_subject),
):
"""Return GPU name, total VRAM, and key ML package versions.
Gated behind auth alongside /api/system -- same fingerprinting
concern. /api/system/gpu-visibility is also auth-gated already.
"""
from utils.hardware import get_gpu_summary, get_package_versions
return {
"gpu": get_gpu_summary(),
"versions": get_package_versions(),
}
# ============ Serve Frontend (Optional) ============
def _strip_crossorigin(html_bytes: bytes) -> bytes:
"""Remove ``crossorigin`` attributes from script/link tags.
Vite adds ``crossorigin`` by default which forces CORS mode on font
subresource loads. When Studio is served over plain HTTP, Firefox
HTTPS-Only Mode does not exempt CORS font requests -- causing all
@font-face downloads to fail silently. Stripping the attribute
makes them regular same-origin fetches that work on any protocol.
"""
import re as _re
html = html_bytes.decode("utf-8")
html = _re.sub(r'\s+crossorigin(?:="[^"]*")?', "", html)
return html.encode("utf-8")
def _inject_bootstrap(html_bytes: bytes, app: FastAPI):
"""Inject bootstrap credentials when password change is pending.
Returns ``(html_bytes, script_nonce_or_None)``. Callers must forward
the nonce via ``_CSP_SCRIPT_NONCE_HEADER`` so the inline script is
not blocked by CSP.
"""
import json as _json
import secrets as _secrets
if not storage.requires_password_change(storage.DEFAULT_ADMIN_USERNAME):
return html_bytes, None
bootstrap_pw = getattr(app.state, "bootstrap_password", None)
if not bootstrap_pw:
return html_bytes, None
payload = _json.dumps(
{
"username": storage.DEFAULT_ADMIN_USERNAME,
"password": bootstrap_pw,
}
)
nonce = _secrets.token_urlsafe(16)
tag = f'<script nonce="{nonce}">window.__UNSLOTH_BOOTSTRAP__={payload}</script>'
html = html_bytes.decode("utf-8")
html = html.replace("</head>", f"{tag}</head>", 1)
return html.encode("utf-8"), nonce
def setup_frontend(app: FastAPI, build_path: Path):
"""Mount frontend static files (optional)"""
if not build_path.exists():
return False
# Mount assets
assets_dir = build_path / "assets"
if assets_dir.exists():
app.mount("/assets", StaticFiles(directory = assets_dir), name = "assets")
def _build_index_response() -> Response:
content = (build_path / "index.html").read_bytes()
content = _strip_crossorigin(content)
content, nonce = _inject_bootstrap(content, app)
headers = {"Cache-Control": "no-cache, no-store, must-revalidate"}
if nonce:
headers[_CSP_SCRIPT_NONCE_HEADER] = nonce
return Response(
content = content,
media_type = "text/html",
headers = headers,
)
@app.get("/")
async def serve_root():
return _build_index_response()
@app.get("/{full_path:path}")
async def serve_frontend(full_path: str):
if full_path in {"api", "v1"} or full_path.startswith(("api/", "v1/")):
return {"error": "API endpoint not found"}
file_path = (build_path / full_path).resolve()
# Block path traversal — ensure resolved path stays inside build_path
if not file_path.is_relative_to(build_path.resolve()):
return Response(status_code = 403)
if file_path.is_file():
return FileResponse(file_path)
# Serve index.html as bytes — avoids Content-Length mismatch
return _build_index_response()
return True