43 commits
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11d5f64eeb |
Studio: reword the Cloudflare line when the public probe fails (#6217)
On a 0.0.0.0 bind whose public ip:port is not reachable (cloud firewall), the banner still printed "Secure link access via Cloudflare: <url>" right after "is NOT reachable from the public internet", which reads as if the tunnel might also be blocked. The Cloudflare quick-tunnel works regardless. Thread the reachability probe result through a module-level _public_reachable tri-state and, when the public probe definitively failed but the tunnel is up, print "Also, the secure link access via Cloudflare works: <url>". Reachable or undecided cases keep the existing wording. |
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1a99980b46 |
Studio: auto Cloudflare tunnel for 0.0.0.0 launches (#6204)
* Studio: auto Cloudflare tunnel for 0.0.0.0 launches Binding Studio to 0.0.0.0 for remote access often leaves the raw http://<ip>:<port> URL unreachable (https-vs-http, blocked high ports, closed cloud security groups). On a wildcard bind, auto-start a free cloudflared quick tunnel and show its https://*.trycloudflare.com URL in the startup banner: Secure link access via Cloudflare: https://<random>.trycloudflare.com - new studio/backend/cloudflare_tunnel.py: find or download+cache the cloudflared binary (per-OS/arch GitHub release, safe .tgz extract), start the tunnel, parse the URL, tear it down. Stdlib only; best-effort and non-fatal throughout (a missing binary or offline box never blocks or slows startup). - run_server starts the tunnel for 0.0.0.0 only (skips loopback, api-only and Colab), prints the line in the banner, and _graceful_shutdown stops the child so it never orphans. - --cloudflare/--no-cloudflare flag (default on) on `unsloth studio` and `unsloth studio run`, forwarded through the re-exec into run_server. - tests for the helper, the CLI flag forwarding, and the run.py defaults. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Studio cloudflare: send a User-Agent on the cloudflared download GitHub's CDN can 403 the default Python-urllib User-Agent on release asset downloads. Set an explicit UA and pin it with a test. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Studio cloudflare: address review (opt-out for subcommands, tunnel teardown) - reject --no-cloudflare placed before a subcommand (it would not reach the subcommand), mirroring the --parallel guard - register the tunnel before waiting for its URL so a shutdown during the wait stops cloudflared instead of orphaning it - tear the server + children down if `unsloth studio run` startup aborts (health timeout, model-load error, Ctrl+C) before the wait loop * [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> |
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62191c4765 |
Windows/WSL installer: fix winget msstore cert failure, amd-smi DiskPart prompt, and enable AMD GPU (Strix Halo gfx1151) (#5940)
* Fix Windows installer winget msstore certificate failure
`winget install` was invoked without `--source winget`, so winget also
queried the msstore source. When msstore fails certificate pinning
(error 0x8a15005e, "The server certificate did not match any of the
expected values") winget aborts and demands `--source`, so the Python
(and uv) install fails even though the package exists in the winget
source.
- Pass `--source winget` to all winget install calls (Python x2, uv).
Both packages live in the winget source, so this is strictly correct
and skips the failing msstore round-trip entirely.
- Add a python.org fallback (Install-PythonFromPythonOrg) that downloads
the official installer and runs it silently per-user (no admin/UAC)
when winget is unavailable or fails for any reason. Mirrors the
existing uv -> astral.sh fallback so Python installs without manual
steps. Resolves the latest 3.13.x from python.org with a pinned
fallback, and selects the amd64/arm64/x86 installer per architecture.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Pin remaining setup.ps1 winget calls to --source winget
Two winget invocations in studio/setup.ps1 still queried all sources and
could hit the same msstore certificate-pinning failure (0x8a15005e) that
broke the Python install in install.ps1:
- `winget show Nvidia.CUDA --versions` (CUDA Toolkit version probe)
- `winget install ... ShiningLight.OpenSSL.Dev` (OpenSSL dev for llama-server)
Every other winget call in this file already passes `--source winget`
(Git, CMake, VS Build Tools, CUDA install, Node.js, and setup.ps1's own
Python 3.12 install), so these two were stragglers. Both packages live in
the winget source; pinning it makes setup robust to an unhealthy msstore
source, matching the rest of the file.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Stop amd-smi GPU probe from popping a DiskPart UAC prompt
On Windows, AMD GPU detection in install.ps1 and studio/setup.ps1 runs
`amd-smi list` / `static --asic` / `version`. amd-smi (shipped in
System32 by the Adrenalin driver) auto-elevates to read GPU/APU memory
details, surfacing a confusing DiskPart UAC prompt mid-install. The
Studio backend already documents and circuit-breaks on this in
studio/backend/utils/hardware/amd.py, but the installers did not.
Add an Invoke-AmdSmiNoElevate helper (both scripts) that runs amd-smi via
Start-Process under __COMPAT_LAYER=RunAsInvoker so it cannot auto-elevate
(no prompt), with a 30s timeout (matching amd.py) so a flaky amd-smi
cannot stall the install for minutes. On failure/timeout the existing WMI
name -> gfx fallback still resolves the arch, so detection is unchanged on
working hosts.
Verified on a Strix Halo (Radeon 8060S / gfx1151) box: the prompt is gone
and the probe is bounded.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Add experimental ROCm-on-WSL setup helper for Strix Halo (gfx1151)
install.sh already routes gfx1151 (Radeon 8060S / Strix Halo) to the
repo.amd.com/rocm/whl/gfx1151 wheels once a ROCm runtime is present, but
it does not install AMD's driver/ROCm stack -- a large, admin-gated
prerequisite. scripts/install_rocm_wsl_strixhalo.sh automates the Linux
side on a dedicated Ubuntu 24.04 WSL2 distro: ROCm 7.2 (wsl usecase), the
rocr4wsl HSA runtime, a librocdxg build, env setup, and a PyTorch gfx1151
GPU smoke test. A hard preflight refuses to run until the Adrenalin
>=26.3.1 driver is actually present, so it cannot half-install.
Procedure adapted from AMD's ROCm-on-WSL docs and community gfx1151 notes.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Detect AMD GPUs by name so native Windows gets a GPU llama.cpp
The gfx-arch inference from the WMI GPU name was gated behind $HasROCm,
which the hipinfo/amd-smi probe leaves false on the common Windows case
(Adrenalin driver only, no HIP SDK -- and amd-smi often cannot read the
arch without elevation). So an AMD GPU was detected by name but never
mapped to a gfx target, --rocm-gfx was not forwarded, and studio setup
fell back to a CPU llama.cpp build.
Un-gate the inference (install.ps1 + studio/setup.ps1) so it runs whenever
an AMD GPU name is available. The inferred gfx is forwarded as --rocm-gfx,
which makes install_llama_prebuilt.py download the matching lemonade-sdk
ROCm prebuilt (e.g. llama-bNNNN-windows-rocm-gfx1151-x64.zip) -- a
GPU-accelerated llama.cpp that bundles its own ROCm runtime, so it runs
with just the Adrenalin driver. PyTorch's ROCm wheels still require a
confirmed HIP SDK ($HasROCm), so this only affects llama.cpp / inference
and never pulls broken ROCm torch.
Also broaden the name->arch table to every family lemonade ships Windows
assets for: gfx120X (RDNA 4), gfx110X (RDNA 3), gfx1151/gfx1150
(RDNA 3.5), and gfx103X (RDNA 2). Unknown names still fall back to CPU.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Suppress amd-smi DiskPart UAC prompt in the Python install/runtime paths
The earlier PowerShell guard covered install.ps1 / setup.ps1, but the
Python installer (install_llama_prebuilt.py detect_host,
install_python_stack.py ROCm probes) and the Studio backend monitor
(amd.py) also shell out to amd-smi on Windows, where it auto-elevates and
pops the same DiskPart UAC prompt mid-install / at runtime.
Inject __COMPAT_LAYER=RunAsInvoker into the amd-smi subprocess env on
Windows so it runs un-elevated (no prompt). Callers already tolerate an
empty/failed result and fall back to WMI / name detection (installer) or
the existing circuit breaker (amd.py). Gated to Windows so Linux/macOS
amd-smi behaviour is unchanged.
- install_llama_prebuilt.py: handled centrally in run_capture (covers
detect_host's `amd-smi list` and the version probe).
- install_python_stack.py: new _amd_smi_env() helper on its 3 raw
subprocess.run amd-smi calls.
- amd.py: merge RunAsInvoker into the existing child env.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Tighten AMD GPU name->arch patterns to avoid mismatches
The W9[0-9]{3} and RX 90[0-9]{2} patterns added for RDNA 4 were
speculative and over-broad: W9xxx would also match old GCN FirePro
W9100/W9000 cards (wrong gfx1201 -> a lemonade gfx120X download that
fails validation), and RX 90[0-9]{2} was redundant with the explicit
9070/9060 entries. Drop both; keep only confirmed RDNA 4 SKUs. Unmatched
AMD names still fall back cleanly to CPU.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Fetch the llama.cpp validation model via huggingface_hub
The prebuilt validation downloads a tiny GGUF test model from huggingface
via bare urllib. On Windows / proxy setups where the server sends an
incomplete TLS chain, urllib cannot complete the Amazon CA chain (it does
no AIA intermediate fetching) and fails with CERTIFICATE_VERIFY_FAILED, so
a perfectly good GPU prebuilt is rejected and the installer falls back to a
CPU source build.
Route the validation-model download through huggingface_hub
(hf_hub_download) -- the same mechanism Studio uses for model downloads,
which completes the chain where urllib cannot -- keeping the direct URL as
a fallback. This lets the lemonade ROCm prebuilt validate and install on
cert-restricted machines (verified: hf_hub_download succeeds where urllib
returns CERTIFICATE_VERIFY_FAILED).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Guard the remaining raw amd-smi version probe via run_capture
A ROCm-version detector in install_llama_prebuilt.py called amd-smi version through a raw subprocess.run that bypassed run_capture's Windows RunAsInvoker guard, so it still triggered the DiskPart UAC prompt during setup. Route it through run_capture like the other amd-smi calls.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Forward --rocm-gfx even when the ROCm runtime is unconfirmed
setup.ps1 forwarded --rocm-gfx (and picked the windows-hip llama.cpp
prebuilt) only inside `if ($HasROCm)`. On Adrenalin-only hosts (amd-smi
present but no HIP SDK, so $HasROCm stays false) the gfx arch was
name-inferred but never forwarded, so install_llama_prebuilt.py saw
has_rocm=False and installed the CPU build -- even though the lemonade
gfx1151 GPU prebuilt runs fine there (it bundles its own ROCm runtime;
verified: llama-cli --list-devices -> ROCm0: AMD Radeon 8060S, 69 GB).
Forward --rocm-gfx whenever a gfx arch is known (it is authoritative and
implies ROCm in install_llama_prebuilt.py), and treat a known gfx arch as
windows-hip in the existing-install mismatch check. --has-rocm stays gated
on the confirmed-runtime signal.
Verified on Radeon 8060S / gfx1151: the installer now selects, validates,
and installs llama-b1286-windows-rocm-gfx1151-x64.zip (ROCm DLLs present)
instead of the CPU build.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Install AMD ROCm PyTorch on name-inferred gfx hosts (enables Train/Export)
setup.ps1 picked the AMD ROCm PyTorch wheels only inside `if ($HasROCm ...)`.
On Adrenalin-only hosts (amd-smi present but no HIP SDK, so $HasROCm is
false) the gfx arch was name-inferred but the ROCm-wheel branch never ran,
so the host got torch+cpu. With CPU torch, torch.cuda.is_available() is
False, so the Studio backend sets CHAT_ONLY=True and hides Train/Export.
Un-gate the ROCm PyTorch index resolution on a known gfx arch (mirrors the
llama.cpp --rocm-gfx fix). AMD's per-arch Windows wheels
(repo.amd.com/rocm/whl/<gfx>) bundle the ROCm runtime, so they work without
a HIP SDK; a failed install still falls back to CPU.
Verified on Radeon 8060S / gfx1151: torch 2.11.0+rocm7.13.0 installs and
torch.cuda.is_available() -> True, device "AMD Radeon(TM) 8060S Graphics",
GPU matmul OK -> CHAT_ONLY=False -> Train/Export enabled.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Force amd-smi un-elevated process-wide in the Python installers
Guarding individual amd-smi call sites kept missing some (install_python_stack.py's probe loop and its Windows GPU re-check), so the DiskPart UAC prompt kept reappearing. Set __COMPAT_LAYER=RunAsInvoker process-wide at the top of install_python_stack.py and install_llama_prebuilt.py on Windows so every amd-smi subprocess (current and future) runs un-elevated with no per-call guard. Safe: these scripts only spawn amd-smi/rocminfo/hipinfo probes and pip/uv. setup.ps1 keeps per-call guards because it also spawns winget installers that need elevation.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Fix Invoke-AmdSmiNoElevate exit code on PS 5.1 + RX 7700S arch match
Start-Process -PassThru leaves the returned process object's .ExitCode
$null after WaitForExit on Windows PowerShell 5.1, so the helper set
$LASTEXITCODE to $null and every caller's `if ($LASTEXITCODE -eq 0 ...)`
was always false -- the amd-smi GPU / gfx-token / ROCm-version detection
branch was effectively dead (masked only because the un-gated WMI
name->gfx inference still ran). Reproduced on PS 5.1.26100.
Rewrite the helper to use [System.Diagnostics.Process]::Start with a
ProcessStartInfo (UseShellExecute=false), whose .ExitCode is reliable,
with async stream reads (ReadToEndAsync) to avoid a pipe-buffer deadlock
and WaitForExit(timeout) to bound a flaky amd-smi. __COMPAT_LAYER=
RunAsInvoker (inherited via the process env) still suppresses the
auto-elevation / DiskPart prompt. Also drops the temp files and the
empty-ArgumentList edge case. Verified: exit code propagates
(7 -> $LASTEXITCODE=7), output captured, env restored.
Also fix the gfx1100 name pattern `RX 7700(?! S)` -> `RX 7700(?!S)` so the
spaceless retail name "RX 7700S" is correctly excluded (it belongs to the
gfx1102 row). Both found by PR review.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Address PR review follow-ups (install.sh table, update path, tests, WSL)
From the multi-agent PR review:
- install.sh: sync the AMD name->arch table with install.ps1 / setup.ps1
(the bash table had drifted to the old narrow patterns). Adds RDNA 2
(gfx103X), workstation PRO W SKUs, and more Strix Halo/Point names, and
orders gfx1102 before gfx1100 so the spaceless retail name "RX 7700S"
resolves correctly (bash case has no negative lookahead). AMD-ROCm-only:
the name inference stays gated behind _has_amd_rocm_gpu(), so NVIDIA /
CPU / macOS are unaffected.
- setup.ps1: the "dependencies up to date" fast path skipped the torch
reinstall, so an existing user who had CPU torch (installed before
ROCm-wheel support) stayed stuck in CHAT_ONLY. Now, when an AMD gfx arch
is known AND the installed torch is CPU-only, don't skip -- force the
dependency pass so the ROCm wheels install.
- scripts/install_rocm_wsl_strixhalo.sh: resolve the real /opt/rocm dir
instead of hardcoding ROCM_VER for LD_LIBRARY_PATH / the librocdxg
symlink (breaks if amdgpu-install lays ROCm under a patch-version dir);
add a LIBROCDXG_REF pin knob and a "verified against" freshness header.
- tests/studio/install/test_pr5940_followups.py: cover _hf_resolve_url_parts,
_fetch_validation_model_bytes (hf path + urllib fallback), run_capture's
Windows-only amd-smi RunAsInvoker injection, and install.ps1 vs setup.ps1
name-table parity (catches future drift). 14 tests, all passing.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fix DiskPart UAC prompt: skip amd-smi on Windows without a HIP SDK
On Windows, amd-smi re-initialises the ROCm runtime on every invocation
(even `amd-smi version`) and, on hosts without a working HIP runtime
(consumer APUs/dGPUs with only the Adrenalin driver), elevates a child
process at runtime -- popping a UAC/DiskPart prompt. amd-smi's own
manifest is asInvoker, so __COMPAT_LAYER=RunAsInvoker cannot suppress
that runtime elevation (verified: even `amd-smi version` hangs and
times out with RunAsInvoker set).
Replace the ineffective RunAsInvoker-only approach with a real gate:
only spawn amd-smi on Windows when a HIP SDK is detectable (hipinfo
present, so amd-smi runs un-elevated) or the user opts in with
UNSLOTH_ENABLE_AMD_SMI=1. The gfx arch is already resolved from WMI
name inference (forwarded via --rocm-gfx), so ROCm wheel + lemonade
llama.cpp selection is unaffected. Linux/macOS amd-smi never elevates
and is untouched (no regression). RunAsInvoker is kept as harmless
belt-and-suspenders for tools that DO use manifest elevation.
Applied consistently across:
- studio/backend/utils/hardware/amd.py (runtime GPU polling)
- install.ps1, studio/setup.ps1 (install-time detection)
- studio/install_llama_prebuilt.py (prebuilt arch probe + version)
- studio/install_python_stack.py (ROCm version + arch probe)
Verified live on AMD Radeon 8060S (gfx1151), native Windows: fresh
install detects the GPU, installs ROCm torch (torch.cuda.is_available()
True), launches Studio with no DiskPart prompt, and inference, tool
calling, web search, LoRA finetuning, and GGUF export all run on the GPU.
Tests: add 6 _amd_smi_allowed() gating tests + PowerShell-installer gate
assertions; update the three amd-smi monitoring tests to opt in (they
mock amd-smi as available). Full suite: 267 passed, 2 skipped.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* install.sh: helpful WSL message when the GPU isn't exposed to ROCm
In WSL, an AMD GPU's ROCm-on-WSL runtime is only available with a recent
Adrenalin driver AND a distro AMD supports (currently Ubuntu 24.04). When
neither is in place, GPU detection (rocminfo/_has_amd_rocm_gpu) finds
nothing and we silently fall back to CPU.
Add an actionable hint in the CPU-fallback path, shown only on WSL and
only AFTER detection has already failed -- so it is forward-compatible:
the moment a driver/distro DOES expose the GPU (e.g. if AMD later adds
Ubuntu 26.04 support), detection succeeds and the hint never fires. The
message:
- notes a GPU is plumbed in (/dev/dxg) but no ROCm runtime is exposed,
- lists the two prerequisites (Adrenalin driver + Ubuntu 24.04),
- if the distro is not 24.04, says AMD may not support it yet,
- tells the user to `wsl --install Ubuntu-24.04` and re-run,
- links AMD's ROCm-on-WSL guide + the experimental Strix Halo helper.
Verified live: on Ubuntu-24.04 the hint shows (version-warning omitted)
and the CPU install completes; on Ubuntu-26.04 the extra "this distro may
not be supported" line appears and points to 24.04.
Also fix the experimental scripts/install_rocm_wsl_strixhalo.sh: AMD's
repo.radeon.com/amdgpu-install/ is indexed by unified installer version
(30.30, 31.30, ...), NOT ROCm version, so the hard-coded
amdgpu-install/7.2.0/ path 404'd. Scan the installer dirs newest-first
for a noble .deb matching the target ROCm major.minor (ROCm 7.2 ->
30.30.x/amdgpu-install_7.2.x), falling back to the newest available.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* WSL: fix shortcut collision + pin ROCm-on-WSL driver reqs from AMD docs
Two WSL-related fixes informed by AMD's official ROCm-on-WSL docs and
field reports for Strix Halo / Ryzen AI Max+ (Radeon 8060S, gfx1151):
1. Shortcut collision (real bug). install.sh's WSL branch wrote
"Unsloth Studio.lnk" to the SAME Desktop / Start Menu folder as the
native-Windows installer (install.ps1 New-StudioShortcuts). Running
install.sh in WSL therefore silently retargeted the native shortcut at
the WSL launcher (wt.exe -> wsl.exe), so the desktop/start-menu icon
stopped launching native GPU Studio. Now the WSL shortcut uses a
DISTINCT name -- "Unsloth Studio (WSL - <distro>).lnk" -- and fetches
the Unsloth .ico to %LOCALAPPDATA%\Unsloth Studio so it shows the
proper icon. Native and WSL shortcuts now coexist.
2. Precise ROCm-on-WSL prerequisites. Research (AMD radeon-ryzen WSL
compatibility matrix, gianni.rosagallina.com Feb-2026 guide,
ROCm/ROCm#4952/#5509/#6022) confirms WSL GPU on Strix Halo requires
AMD Adrenalin Edition >= 26.1.1 (26.2.2+ is the first production
ROCDXG/WSL release) + ROCm 7.2.1 + Ubuntu 24.04; an older driver does
not inject the ROCm/DXG runtime into /usr/lib/wsl/lib, so rocminfo sees
only the CPU. install.sh's WSL hint and the experimental
install_rocm_wsl_strixhalo.sh header/preflight now state the exact
driver version (was a guessed ">=26.3.1"), bump ROCM_VER to 7.2.1, link
AMD's radeon-ryzen docs, and document the known librocdxg caveat that
usable VRAM is currently capped at the .wslconfig memory setting.
bash -n clean; install test suite 267 passed, 2 skipped.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer: hint when the AMD driver is too old for ROCm-on-WSL
Adds a detect-and-guide hook for the optional WSL-GPU path. An AMD GPU on
native Windows can also be used inside WSL2, but only with AMD Adrenalin
Edition >= 26.2.2 (the first production ROCDXG/WSL release). Native Windows
GPU works with any recent driver, so this is purely about enabling the WSL
path.
We intentionally do NOT auto-install the driver: AMD referrer-gates driver
downloads (scripted curl/Invoke-WebRequest are blocked) and does not publish
Adrenalin via winget, so no installer can reliably fetch it -- and silently
swapping a live display driver is risky. Instead we point the user at AMD's
official download page (one click), after which the existing WSL detection
lights up automatically.
- install.ps1: new Show-AmdWslDriverHint -- when an AMD GPU is present and the
installed driver predates the 26.2.2 release (DriverDate < 2026-02-01),
print a concise tip with the AMD download URL. Handles DriverDate as either
a CIM DateTime or a WMI string. Suppress with UNSLOTH_SKIP_AMD_DRIVER_HINT=1.
- install.sh (WSL hint): add the direct Adrenalin 26.2.2 download URL and note
that AMD downloads are referrer-gated (open in a browser).
Verified: hint fires on a Sept-2025 driver, auto-suppresses on >= 2026-02-01;
install.ps1 parses; install.sh bash -n clean; suite 267 passed, 2 skipped.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* install.ps1: refresh shell icon cache after creating the shortcut
After writing the Desktop / Start Menu .lnk, nudge Explorer to refresh
its icon (ie4uinit.exe -show). Without this, a stale icon cache can show
a blank shortcut icon until the next explorer restart -- most visible
when a shortcut of the same name was rewritten (e.g. a native install
followed by a WSL install, which previously shared the name; now they use
distinct names, but the cache nudge makes the icon appear immediately
regardless). Best-effort and wrapped in try/catch so it never fails the
install. The bundled unsloth.ico itself is valid (verified it renders).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* setup.ps1: don't silently CPU-build llama.cpp on an AMD GPU
For AMD, GPU acceleration comes from the lemonade ROCm prebuilt (it bundles
the ROCm runtime, no HIP SDK needed) and is the preferred/default path. The
source-build fallback is CPU-only -- a HIP/ROCm *source* build would need the
full HIP SDK + ROCm clang toolchain, which the prebuilt exists to avoid.
Previously, if an AMD-GPU host ever fell through to the source build (e.g. the
prebuilt could not be downloaded), it printed "building llama.cpp (CPU-only,
no NVIDIA GPU detected)" and quietly produced a CPU binary -- masking the lost
GPU acceleration. Now that case emits a loud [WARN] explaining the GPU prebuilt
is the AMD path and how to restore it (re-run / check network / set
UNSLOTH_LLAMA_RELEASE_TAG), so AMD never silently degrades to CPU.
No behavior change on the happy path: AMD still gets the GPU prebuilt (verified
on gfx1151: ggml-hip.dll bundled, ~80% GPU compute during inference). NVIDIA
(CUDA source build) and CPU-only hosts are unchanged.
setup.ps1 parses; install suite 267 passed, 2 skipped.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* uninstall: remove shared llama.cpp build, kill lock-holders, match WSL shortcut
Three gaps found by running a real uninstall on a native-Windows + WSL host;
all fixes are scoped to Unsloth-owned paths and no-op on the other pathways
(env/custom-root, NVIDIA/AMD/CPU, Mac) so nothing else regresses.
uninstall.ps1:
- Remove the default-mode SHARED llama.cpp build + cache. setup.ps1 installs
them at ~/.unsloth/llama.cpp and ~/.unsloth/.cache -- SIBLINGS of studio,
not under it -- so deleting <studio> left hundreds of MB behind. Now removed
explicitly, then ~/.unsloth is dropped ONLY if empty (never nukes unrelated
content). No-op in env/custom mode (llama.cpp nests under the custom root,
removed already) and when absent. UNSLOTH_LLAMA_CPP_PATH (user-owned) is kept.
- New _StopProcessesLockingRoots: _StopStudioProcesses only matched the venv
unsloth/python/studio exe, so it missed (a) llama-server.exe under llama.cpp
and (b) an orphaned multiprocessing python fork that ran from the SYSTEM
python but loaded a venv DLL (bitsandbytes) -- on Windows an open DLL handle
blocks the directory delete, leaving a half-removed install. The new helper
kills any process whose image path OR loaded module is under a target root
(module scan scoped to python/unsloth/llama-server names; vendor-agnostic).
- _RemovePath now retries (transient post-kill handle release).
uninstall.sh:
- Remove the default-mode ~/.unsloth/llama.cpp + ~/.unsloth/.cache; rmdir
~/.unsloth only if empty.
- WSL Windows-side shortcut cleanup now matches by TARGET (any
"Unsloth Studio*.lnk" whose target launches wsl.exe), covering both the
legacy "Unsloth Studio.lnk" and the new "Unsloth Studio (WSL - <distro>).lnk"
-- and never removes a native-Windows shortcut (which launches wscript.exe).
uninstall.ps1 parses; uninstall.sh passes sh -n and bash -n.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* install.ps1: invalidate Win11 Start Menu tile cache after creating shortcut
The Start Menu shortcut kept showing a blank/generic icon even after the
Explorer icon-cache rebuild, because Windows 11's StartMenuExperienceHost
keeps its OWN pre-rendered tile-icon cache
(%LOCALAPPDATA%\Packages\Microsoft.Windows.StartMenuExperienceHost_cw5n1h2txyewy\
TempState\TileCache_*.bin + StartUnifiedTileModelCache.dat), separate from
Explorer's iconcache_*.db. ie4uinit and an explorer.exe restart do not touch
it, and they don't recycle the host -- so a rewritten same-name shortcut keeps
showing the first-rendered (often the generic wscript ">") tile until the host
restarts on its own.
Fix: after creating the shortcut, drop only the Start Menu RENDER caches
(TileCache_* + StartUnifiedTileModelCache.dat) and stop StartMenuExperienceHost
(Windows auto-relaunches it), so the tile re-resolves the real icon via the
shell image factory. start2.bin (the user's pinned layout) is deliberately
preserved. Guarded by Test-Path (Windows 10 has no such host -> skipped) and
wrapped in try/catch so it can never fail the install. Windows-only
(install.ps1); no effect on Linux/macOS/Studio.
Verified live: rendering the shortcut via IShellItemImageFactory::GetImage (the
API StartMenuExperienceHost uses) returns the Unsloth sloth icon, color-matched,
after this invalidation -- previously it returned the generic script tile.
install.ps1 parses; install suite 267 passed, 2 skipped.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* ROCm-on-WSL for AMD Strix Halo (gfx1151): auto-setup + runtime enablement
Make Unsloth Studio set up ROCm-on-WSL automatically for AMD Strix Halo
(Radeon 8060S / gfx1151) and use the GPU at runtime, validated end-to-end
on a Ryzen AI Max+ PRO 395 (ROCm 7.2.1 + librocdxg + Adrenalin Apr-2026):
rocminfo enumerates gfx1151, torch.cuda True, ~85.8 GB UMA pool.
Every change is a strict no-op for all other configs (NVIDIA/CUDA,
discrete + native-Linux AMD ROCm, macOS/MLX, Windows, CPU-only, non-Strix
WSL) and can never abort the installer.
- scripts/install_rocm_wsl_strixhalo.sh: rewrite to the validated recipe.
Fixes that would have broken a working box: drop the /usr/lib/wsl/lib
preflight (a working ROCDXG host has only d3d12/dxcore there); remove the
obsolete rocr4wsl step (gone from the 7.2.1 repo; would hard-fail and also
rips out the standard hsa-rocr ROCDXG needs); dynamic librocdxg soname
(was hardcoded 1.1.0; build is 1.2.0); direct apt-repo install; Windows
SDK auto-discovery; persist env to /etc/profile.d + ~/.bashrc; idempotent.
- install.sh: _maybe_bootstrap_rocm_wsl auto-offers/runs the helper when it
detects a Strix Halo APU in WSL (/dev/dxg) with no ROCm runtime, then
loads the env so detection routes to the gfx1151 wheels. Fast-path when
already configured. Fix an inaccurate WSL hint line.
- studio/backend/main.py + worker.py: set HSA_ENABLE_DXG_DETECTION=1
in-process before torch (gated on /dev/dxg AND librocdxg.so), so the
worker uses the GPU even when launched outside a login shell. Mirrors the
existing BNB_ROCM_VERSION injection.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* uninstall: clean up ROCm-on-WSL artifacts + Start Menu tile cache
- uninstall.sh: remove the ROCm-on-WSL helper artifacts -- the librocdxg
build clone (~/.unsloth/librocdxg, which otherwise blocks the empty-dir
rmdir of ~/.unsloth), the throwaway smoke-test venv, the persisted env
(/etc/profile.d/unsloth-rocm-wsl.sh) and the ~/.bashrc block. The system
ROCm userspace is a shared prereq like CUDA and is kept by default;
UNSLOTH_UNINSTALL_ROCM=1 removes it too. No-ops on macOS / non-Strix Linux.
- uninstall.ps1: invalidate the Win11 Start Menu tile cache after removing
the shortcut so its tile disappears promptly (mirrors install.ps1),
preserving start2.bin.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer: accurate AMD ROCm messaging (HIP SDK optional, not required)
The Windows installer printed "HIP SDK not found - GPU-accelerated training
unavailable" / "ROCm wheels require the HIP SDK" whenever the HIP SDK was
absent. That is misleading: for a detected AMD GPU arch (gfx1151 etc.),
setup.ps1 installs AMD's bundled-runtime ROCm PyTorch wheels (repo.amd.com)
which ship their own ROCm runtime and do NOT need the HIP SDK -- verified
end-to-end (torch 2.11.0+rocm7.13.0, cuda True, QLoRA training on GPU) on a
Radeon 8060S with no HIP SDK installed.
Gate the GPU-detection + rocm-step messages on a detected gfx arch: when one
is known, state that GPU PyTorch uses bundled-runtime wheels and the HIP SDK
is optional; only when the arch is unknown fall back to the HIP-SDK hint.
Behavior (torch routing) is unchanged; this is messaging only. No-op for
NVIDIA/CUDA, HIP-SDK-present, and CPU paths (they hit earlier branches).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer: fix /opt/rocm data-loss + make WSL shortcut create/remove interop-robust
Two fixes from the 3-reviewer regression audit + live testing on a
systemd-enabled WSL distro (interop disabled):
F1 (data-loss, install_rocm_wsl_strixhalo.sh): the /opt/rocm symlink-repair
could force-delete a pre-existing REAL ROCm install. The guard only checked
that /opt/rocm is a real directory, not that it is the stray librocdxg stub.
Now it only touches /opt/rocm when it is NOT a real install (no bin/rocminfo,
bin/hipcc, or .info/version present), and MOVES it aside (rocm.unsloth-stub-bak)
instead of deleting it, so a wrong guess can never lose data.
WSL interop robustness (install.sh + uninstall.sh): both relied on
`command -v powershell.exe`, which is true even when WSL interop cannot EXECUTE
it (on systemd distros powershell.exe fails with "Exec format error"). Result:
the WSL shortcut silently failed to create (install) and to remove (uninstall).
- uninstall.sh: test that powershell.exe actually runs; if not, remove the
"Unsloth Studio (WSL...).lnk" files directly via drvfs (/mnt/<drive>), which
works without interop. The name is WSL-install-specific, so a native install's
"Unsloth Studio.lnk" is never touched.
- install.sh: when the shortcut cannot be created, warn with the manual launch
command + how to re-enable interop, instead of failing silently.
No behavior change on the interop-on path. The regression audit otherwise found
no regressions on Linux/Mac/Windows/CPU/NVIDIA install paths.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* install.sh: fast-path fully restores ROCm-on-WSL env when the drop-in is gone
Reinstall regression found by uninstall->reinstall testing: after a Studio
uninstall that removed /etc/profile.d/unsloth-rocm-wsl.sh but KEPT the shared
ROCm (the default), a non-login reinstall hit the bootstrap fast-path
(librocdxg present) and its else-branch only set HSA_ENABLE_DXG_DETECTION --
NOT PATH/LD_LIBRARY_PATH. So rocminfo was not on PATH, GPU detection failed,
and the installer fell back to CPU-only PyTorch.
Fix: when librocdxg is present but the env drop-in is missing, restore the
FULL env inline (HSA + TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL + PATH +
LD_LIBRARY_PATH) so rocminfo is found and detection routes to the GPU, and
recreate /etc/profile.d/unsloth-rocm-wsl.sh so future shells and the Studio
worker get it too. No change to the env-present fast-path or any other host.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer: clear Explorer icon cache so shortcut icons aren't blank
Root cause of the persistent blank Desktop + Start Menu icons: Explorer caches
each shortcut's icon in iconcache_*.db and does NOT re-read the .ico when a
same-name .lnk is recreated across reinstalls. The .ico and .lnk are correct
(the shell renders them non-blank via IShellItemImageFactory; the .ico has real
image data at 16/32/48/128 px), but the stale cache entry wins. The previous
fix only ran a weak `ie4uinit -show` + the Start Menu tile-cache clear -- it
never invalidated Explorer's icon cache, so the desktop icon stayed blank.
Fix (native install.ps1 New-StudioShortcuts AND the WSL shortcut path in
install.sh):
- ie4uinit -ClearIconCache (thorough; replaces -show as the primary refresh)
- SHChangeNotify(SHCNE_ASSOCCHANGED) to force a live desktop/taskbar refresh
WITHOUT restarting explorer
- keep the Win11 Start Menu tile-cache invalidation (and add it to the WSL
shortcut path too, preserving start2.bin)
Non-disruptive (no explorer restart). install.ps1 parses clean; install.sh
passes bash -n + dash -n; the heredoc-generated WSL PowerShell parses clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer: per-item SHChangeNotify(UPDATEITEM) reliably fixes blank icons
The blank Desktop/Start Menu shortcut icons are a stale Explorer PER-ITEM icon
cache: when a same-name .lnk is recreated across reinstalls, Explorer caches the
previously-resolved (often generic "white page") icon for that item and won't
re-extract the .ico on its own. The .ico and the .lnk's IconLocation are correct
(every icon API renders the sloth) -- only Explorer's cached display is stale.
The previous refresh (ie4uinit -ClearIconCache + a GLOBAL SHCNE_ASSOCCHANGED
broadcast) does NOT recover a stale item -- confirmed by reproduction. The
reliable, NON-disruptive fix (no explorer restart) is a PER-ITEM
SHChangeNotify(SHCNE_UPDATEITEM, SHCNF_PATHW, <lnk path>) for each created
shortcut, which forces Explorer to re-read that exact item's icon.
Verified end-to-end: deliberately staled a shortcut to the generic icon, ran the
installer's exact new refresh code, and the sloth icon recovered with NO explorer
restart (confirmed by capturing the live desktop via PrintWindow).
Applied to both native install.ps1 (New-StudioShortcuts) and the WSL shortcut
path in install.sh. Still clears the on-disk icon cache (ie4uinit) and the Win11
Start Menu tile cache (preserving start2.bin).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* uninstall: remove leftover llama.cpp .staging root so ~/.unsloth is cleaned
The llama.cpp atomic-install staging root (install_llama_prebuilt.py
INSTALL_STAGING_ROOT_NAME=.staging) is a sibling of the llama.cpp install
dir (~/.unsloth/.staging in default mode). It is normally pruned after a
successful activate, but an interrupted or retained build can leave a
<name>.staging-XXXX tree behind. The uninstallers removed llama.cpp and
.cache but not .staging, so the final empty-dir cleanup of ~/.unsloth failed
and the directory lingered. Reproduced on WSL (Ubuntu-24.04) where an empty
llama.cpp.staging-XXXX dir kept ~/.unsloth alive after uninstall.
Remove ~/.unsloth/.staging in both uninstall.sh and uninstall.ps1. No-op in
env/custom mode (staging nests under the custom root removed already) and
when absent. Cross-platform fix (the staging logic is platform-agnostic).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer: WSL-absent hint + fix here-string lint false positive
install.ps1: in the AMD WSL-ROCm driver hint, detect when wsl.exe is absent
and add a one-line "wsl --install -d Ubuntu-24.04" pointer so a Strix Halo
user with no WSL yet gets an actionable next step (the hint previously assumed
an Ubuntu-24.04 distro already existed). Best-effort, informational only.
test_rocm_support.py: test_no_here_strings did a crude substring check that
false-positived on the conda-style block marker
printf '# <<< Unsloth ROCm-on-WSL (gfx1151) <<<' -- a string literal written
into the /etc/profile.d drop-in, also used as a sed delimiter pair by
uninstall.sh, not a here-string. Strip quoted spans before the check so the
lint still catches a real here-string operator but ignores quoted literals.
install.sh remains POSIX-clean (sh -n / dash -n / bash -n all pass).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* installer: address PR review comments (gfx1150 mapping, amd-smi opt-out, WSL bootstrap, SDK path, make)
Apply the valid bot review findings on #5940; reject the ones that don't hold.
Fixed:
- AMD name->gfx table (setup.ps1 + install.ps1): Radeon 890M and Ryzen AI 9 HX
370/375 are Strix POINT (gfx1150), not Strix Halo (gfx1151). Move 890M / HX 37x
/ AI 9 HX to the gfx1150 row and drop the bogus HX 38x pattern (no such Strix
Halo SKU). Matches the runtime classifier in worker.py (890M/880M -> gfx1150;
8060S/8050S -> gfx1151). Prevents Strix Point hosts from getting the wrong ROCm
prebuilt/wheels.
- amd-smi opt-out (setup.ps1 + install.ps1): an explicit UNSLOTH_ENABLE_AMD_SMI=
0/false/no/off now wins over the HIP-SDK heuristic, so a host with a HIP SDK
binary but a broken runtime no longer gets the DiskPart/UAC prompt the opt-out
exists to avoid.
- amd-smi warning probes (install_python_stack.py): _has_rocm_gpu and
_detect_amd_gfx_codes now gate amd-smi behind _amd_smi_allowed() (and pass
_amd_smi_env()), closing the last unguarded amd-smi spawn on Windows.
- WSL ROCm bootstrap (install.sh): the "already-usable ROCm?" early return now
requires rocminfo to enumerate the real gfx1151 agent instead of the generic
_has_amd_rocm_gpu (whose broad gfx[1-9][0-9] match accepts a fallback
"gfx11-generic" ISA), so a Strix Halo box missing the ROCDXG bridge is no longer
skipped. The shared helper is untouched (no gfx90a regression).
- install_rocm_wsl_strixhalo.sh:
* Quote-safe Windows SDK discovery: the old for-in-$(ls -d "...Program Files
(x86)/...") word-split on the space and never matched; use find + read loop.
* Add `make` to apt prereqs (cmake only recommends it; minimal images lacked it
and the librocdxg `make -j` build failed).
* Verification requires gfx1151 exactly (not gfx1[0-9]) so a generic ISA or an
unrelated RDNA GPU can't pass while the real GPU is absent.
Reviewed but NOT changed:
- "Forward inferred ROCm arch without HasROCm" (setup.ps1): already correct --
--rocm-gfx is forwarded under `if ($script:ROCmGfxArch)`, not `if ($HasROCm)`.
- "Route inferred arch into install.ps1 torch path": not a bug -- install.ps1
installs CPU torch as a base by design and setup.ps1 swaps in the ROCm wheel for
the inferred arch (gate `($HasROCm -or $ROCmGfxArch) -and cpu`); verified live
the native install ends on torch 2.11.0+rocm7.13.0.
- "$p null guard after Start-Process" (install.ps1/setup.ps1): redundant -- the
amd-smi runner uses [Process]::Start wrapped in try/catch, so a null process
already returns "" with LASTEXITCODE=1 (no uncaught exception).
- "ls -> find for /usr/lib/wsl/lib" (gemini): stale -- that heuristic was removed;
only a comment about it remains.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer(rocm-wsl): auto-install the Windows 11 SDK via winget (fewer manual steps)
librocdxg's build needs the Windows SDK 'shared' headers on the Windows host.
Previously the helper just die()d with "install the Windows 11 SDK and re-run" if
they were missing -- a manual prerequisite that broke the otherwise-seamless
`curl ... install.sh | sh` one-liner on Strix Halo.
Now, when the headers aren't found, the helper installs the Windows 11 SDK on the
Windows host from inside WSL via winget (powershell.exe interop), then
re-discovers them. The SDK installer elevates -> ONE UAC prompt on the Windows
desktop; the headers appear under /mnt/c immediately (drvfs is live, no reboot).
The user already consented to the ROCm-on-WSL setup, so no extra prompt is added
beyond the OS UAC gate.
- New _find_win_sdk (space-safe find of the newest installed SDK 'shared' dir)
and _install_windows_sdk_via_winget helpers.
- winget IDs tried newest-stable first: Microsoft.WindowsSDK.10.0.26100, then
.22621. The presence of the headers (re-check) is the source of truth, not
winget's exit code. </dev/null so winget never consumes a piped `curl|sh` stdin.
- Best-effort + non-fatal: interop-off / no-winget / declined-UAC all fall
through to the existing clear manual-install die(). Opt out with
UNSLOTH_SKIP_WIN_SDK_INSTALL=1.
Removes the last avoidable manual step from the WSL Strix Halo path; only the AMD
Adrenalin driver (AMD referrer-gates the download) remains manual. Verified
_find_win_sdk resolves the spaced "Program Files (x86)" path; bash -n clean; all
winget flags validated against `winget install --help`.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* installer(amd): gate install-time amd-smi probe to fix DiskPart UAC prompt
install_python_stack.py's Windows "AMD GPU detected but ROCm torch missing"
warning probe ran `amd-smi list` whenever amd-smi was on PATH -- and amd-smi
ships in C:\Windows\System32 with the AMD Adrenalin driver -- without the
_amd_smi_allowed() gate that every other amd-smi call site in the file uses.
On Adrenalin-only hosts (no HIP SDK) amd-smi elevates a child at runtime and
pops a UAC/DiskPart prompt that __COMPAT_LAYER=RunAsInvoker cannot suppress
(amd-smi's manifest is asInvoker). The probe also ran before the
ROCm-torch-installed check, so it fired on every Windows AMD install.
Gate it behind _amd_smi_allowed() and pass _amd_smi_env(), matching
_has_rocm_gpu()/_detect_amd_gfx_codes(). When skipped, the only loss is the
best-effort "AMD GPU detected" note on HIP-SDK-less hosts.
Adds a per-function AST regression test asserting every function in
install_python_stack.py that names the amd-smi command and spawns a subprocess
also references _amd_smi_allowed() (flags the pre-fix code; passes after).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* studio(cli): fix `unsloth studio stop` crashing on Windows
`stop` used the POSIX `os.kill(pid, 0)` liveness probe, but on Windows
CPython raises OSError (WinError 87, "The parameter is incorrect") for
*every* pid -- alive or dead. `stop` only catches ProcessLookupError /
PermissionError, so the OSError propagated and the command crashed with
a traceback before ever reaching its (correct) `taskkill /F` path.
Add a cross-platform `_pid_alive(pid)` helper (tasklist on Windows,
signal-0 elsewhere) and use it for both the pre-check and the post-kill
wait loop. The actual kill path is unchanged.
Verified on Windows (Python 3.13): os.kill(pid,0) raises WinError 87 for
both a live and a dead pid; `_pid_alive` returns True/False correctly and
the full stop() flow (alive -> taskkill -> dead -> "stopped") passes
end-to-end against a throwaway process.
Adds tests/studio/test_cli_studio_stop_windows.py (AST guard against a
bare os.kill(pid,0) liveness probe + mock-only _pid_alive behaviour for
the win32 tasklist branch and the POSIX signal-0 branch).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* installer(amd): fix install.sh name->arch table misrouting Strix Point to gfx1151
The bash name->arch inference table in install.sh placed Strix Point
identifiers (Radeon 890M, "Ryzen AI 9 HX 370/375", "AI 9 HX") in the
gfx1151 (Strix Halo) row, diverging from the install.ps1 / setup.ps1
PowerShell tables which correctly map them to gfx1150. It also carried a
stray "HX 38" token absent from the PowerShell source-of-truth.
Align install.sh with the PowerShell tables:
gfx1151 row: 8060S|8050S|8040S|Strix Halo|Ryzen AI Max|AI Max
gfx1150 row: 890M|880M|860M|840M|Strix Point|Krackan|HX 37|AI 9 HX|...
Impact is low (the bash table only feeds the display label _gpu_disp_gfx
and the "set UNSLOTH_ROCM_GFX_ARCH=..." hint; wheel selection is driven
by the detected ROCm version, not this name string) but a Strix Point
user would otherwise see/copy the wrong gfx arch.
Add a parity test (test_install_sh_name_arch_agrees_with_ps_for_strix_and_non_amd)
that parses install.sh's case table and asserts Strix Halo->gfx1151,
Strix Point->gfx1150, RX 7700S->gfx1102, and NVIDIA/Intel->no match,
cross-checking against install.ps1 (the previous parity test only
compared install.ps1 <-> setup.ps1, missing install.sh).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* setup.ps1: keep prebuilt-llama ownership guard within the test's block window
The AMD additions to the prebuilt-llama.cpp block (the windows-hip vs
windows-cpu existing-install kind validation) pushed the
install_llama_prebuilt.py invocation to ~1999 chars after the
"installing prebuilt llama.cpp bundle (preferred path)" anchor, right at
the edge of the 2000-char window that
test_setup_ps1_prebuilt_llama_cpp_has_ownership_guard slices -- so the
helper string was truncated and the test failed with "substring not
found" (CI: Repo tests (CPU)).
The ownership-guard invariant (Assert-StudioOwnedOrAbsent precedes the
install_llama_prebuilt.py call) was already satisfied; only the proximity
to the anchor regressed. Move the "installing prebuilt..." substep to
immediately before the install (after the existing-install pre-cleanup),
which also reads better (validate/clean existing -> then "installing"),
shrinking anchor->helper from 1999 to 413 chars. Behaviour is unchanged
(console message ordering only).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* install.sh: auto-run Strix Halo ROCm-on-WSL setup by default
`curl -fsSL https://unsloth.ai/install.sh | sh` should make a Strix Halo
(gfx1151) GPU usable inside WSL with no extra commands. Previously the
ROCm-on-WSL bootstrap was opt-in: it required UNSLOTH_ROCM_WSL_AUTO=1 or an
interactive [Y/n] at a TTY, and silently skipped under a pipe (no /dev/tty),
so the piped one-liner never set the GPU up automatically.
Flip it to auto-by-default for the single narrow case the existing guards
allow (WSL + Strix Halo + /dev/dxg + no usable ROCm yet) -- exactly the GPU
setup the user ran the installer for. Opt out with
UNSLOTH_SKIP_ROCM_WSL_SETUP=1. The Tauri desktop app keeps its own consent UI
(only auto-runs when it passes UNSLOTH_ROCM_WSL_AUTO=1). All hardware/OS
guards are unchanged, so non-Strix / non-WSL / NVIDIA / native-Linux / macOS /
CPU paths are unaffected.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* PR comments: condense to be succinct (comments/docstrings only)
Shorten the verbose explanatory comments and docstrings this PR added across
the installer, scripts, backend shims, CLI, and tests -- tighter, fewer lines,
while preserving every non-obvious "why" (os.kill WinError 87, amd-smi
RunAsInvoker/UAC, /dev/dxg + librocdxg gating, the ROCm-on-WSL bootstrap guard
chain, ownership guards, etc.). No executable code, string literals, messages,
or behavior changed.
Verified comments-only: docstring-normalized AST equality (Python, 9 files),
non-comment token equality (PowerShell, 3 files), comment-stripped diff +
sh -n / bash -n (shell, 3 files). Behavior re-confirmed: get_torch_index_url +
gfx name->arch table 44/44 under dash & bash; rocm_support / pr5940_followups /
cli_studio_stop tests green.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Installer: address PR review (amd-smi opt-out, pipefail, multi-distro, non-root)
Fixes valid findings from the Codex/Gemini PR review:
- install.ps1 / setup.ps1: gate the `amd-smi version` ROCm-version fallback with
$amdSmiAllowed so UNSLOTH_ENABLE_AMD_SMI=0 opt-out is honored (the device
probe was gated but this fallback wasn't), avoiding the DiskPart/UAC prompt.
- install_rocm_wsl_strixhalo.sh: make the post-verification rocminfo summary
best-effort (|| true) so head's early pipe-close under `set -o pipefail` can't
fail the bootstrap after gfx1151 was already enumerated; pin the Windows SDK
`winget install` to --source winget (matches the msstore-cert fix rationale).
- install.ps1: python.org fallback installs the py launcher per-user
(InstallLauncherAllUsers=0, avoids admin), and derives the fallback full
version from the requested minor so a non-default UNSLOTH_PYTHON (e.g. 3.12)
isn't silently replaced with 3.13 when the listing is unreachable.
- install.sh: recreate /etc/profile.d/unsloth-rocm-wsl.sh via `sudo tee` for a
non-root reinstall (a plain redirect failed silently, dropping the ROCm env).
- uninstall.sh: scope WSL Windows-side shortcut removal to the current
WSL_DISTRO_NAME (per-distro name or -d "<distro>" arg) so uninstalling one
distro no longer deletes other distros' launchers.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* Studio ROCm Windows: fix field-reported issues from Strix Halo testers
Four fixes from PR #5940 field reports (Win11 native, gfx1151):
1. bitsandbytes arch-probe spam: bnb's get_rocm_gpu_arch() runs
hipinfo.exe via subprocess PATH at import; the AMD torch wheel ships
hipInfo.exe in the venv Scripts dir, which is only on PATH for
activated venvs. Every bnb import logged "Could not detect ROCm GPU
architecture: [WinError 2]" ERROR + WARNING (even with the HIP SDK
installed, whose bin dir is not on PATH either). Prepend the Scripts
dir to PATH before bnb imports in main.py, worker.py, and
install_python_stack.py, gated on the file existing (only AMD wheels
ship it). Verified on gfx1151: ROCM_GPU_ARCH now resolves to gfx1151
with zero errors.
2. OOM-guard double-tax on native Windows unified APUs: mem_get_info's
total is the WDDM budget the driver grants HIP (BIOS carve + ~half
of remaining RAM) -- the OS share is already outside it. The 0.80
unified cap on top denied loads that fit (field report: 48.49 GiB
budget -> "38.79 GiB allowed" OOM for a 47.29 GiB load with 48.08
free). Use 1.0 on win32 unified; Linux keeps 0.80, discrete 0.90.
3. "Missing VRAM" confusion: log the WDDM budget vs physical RAM with
the fix (BIOS UMA frame buffer / AMD Software Variable Graphics
Memory) when the grant is under 75% of RAM, so a 48 GiB cap on a
96 GiB box reads as policy, not a Studio bug.
4. llama-server fit-step crash (Qwen3.6-27B-MTP + mmproj, lemonade
gfx1151): --fit defaults to 'on' upstream, so the fit step runs even
when Studio already placed the model via -ngl -1, and aborts in
ggml-cuda.cu on some ROCm hosts. Retry the spawn once with --fit off
when the server crashes during startup and Studio's own VRAM math
had placed the model (never when use_fit or an explicit fit flag was
passed). Also keep the TAIL of crash output in the error log (the
diagnostic line prints last; head-truncation cut exactly that) and
reference the full on-disk log.
Verified live on Radeon 8060S: bnb import clean, Qwen3.5-4B-MTP loads
and generates through the new spawn loop, stub-crash retry appends
--fit off and recovers, fraction probes confirm WDDM overcommit and
sub-1.0-only enforcement on current AMD wheels.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio ROCm Windows: GPU-name fallbacks so nothing depends on amd-smi
amd-smi does not reliably exist on Windows: the HIP SDK never ships a
CLI, inbox Windows Update drivers do not, and only some full Adrenalin
packages drop amd-smi.exe into System32 (field report: fresh Win11 +
Adrenalin + HIP SDK, still no amd-smi anywhere). Make every consumer
work without it:
- install_python_stack._detect_windows_gfx_arch: two new probes after
hipinfo/amd-smi -- (2b) the venv Scripts hipInfo.exe shipped by AMD
torch wheels (drives `studio update` on driver-only hosts), and (4) a
last-resort GPU marketing-name -> gfx table via WMI
(Win32_VideoController), mirroring setup.ps1's $nameArchTable so a
standalone repair resolves the arch with zero AMD tooling installed.
- install_llama_prebuilt._resolve_exe: also probe the venv Scripts dir
so a standalone rerun finds hipInfo.exe without HIP_PATH.
- hardware/amd.py _run_amd_smi: which() guard before spawning --
absence now disables the poller in one step instead of burning the
3-strike circuit breaker on FileNotFoundError; corrected the stale
comment claiming Adrenalin ships amd-smi.
Simulated against the real detection functions on gfx1151: amd-smi
absent, present-but-crashing (exit 1), present-but-hanging (60s sleep
vs 5-10s probe timeouts), and hard opt-out -- all resolve gfx1151, no
exceptions, bounded time. Full adversarial install (broken amd-smi
stub first on PATH + UNSLOTH_ENABLE_AMD_SMI=1, fresh uninstall first):
exit 0, name-table arch inference, lemonade gfx1151 b1292 prebuilt,
torch 2.11.0+rocm7.13.0 cuda_avail=True on the 8060S, Studio boots
healthy and stops cleanly.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: per-attempt llama-server log names + amd-smi test portability
Found by cross-platform simulation of the --fit off retry (Windows +
Linux sandboxes, real load_model with stub servers):
- llama-server log filename now carries the spawn-attempt index. The
retry can respawn within the same epoch second; reusing the name
opened the same file with "w" and truncated the crash log the retry
warning had just pointed the user at (proven with a frozen
time.time: one file, crash evidence gone; with the suffix both
attempts keep their logs). Regression-pinned in
test_llama_cpp_wait_for_health.py.
- test_amd_primary_gpu_with_mock now mocks shutil.which alongside
subprocess.run: the amd-smi absence guard which()-checks before
spawning, so on hosts without a real amd-smi (Linux CI, driver-only
Windows) the subprocess mock was never reached and the test failed.
Surfaced by running the suite in a clean Linux sandbox.
Simulation coverage on both OSes: 67-case platform/edge matrix
(real shipped code blocks under win32/linux/darwin spoofs: OOM-guard
fractions + VGM-hint boundary, bnb PATH-prepend gates, retry
eligibility incl. equals-forms and decoy tokens, GPU-name table
adversarial set, WMI fallback without powershell, monitor absence
semantics), 6-scenario live retry matrix (crash-once/crash-always/
exit-zero/explicit-fit/hang/log-collision) against real llama-server
spawns on Windows and WSL (GPU success legs on the 8060S), and a
3-engine browser matrix (chromium/firefox/webkit) driving the live
backend's health + authed /v1 chat completion.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: classify unified-memory via props.is_integrated first
Align the ROCm OOM-guard classifier with PR #5988's UMA gate: consult
hipDeviceProp_t.integrated (props.is_integrated) before the hardcoded
arch set. Strictly additive -- truthy upgrades to unified; 0/absent
falls through to the existing gfx1150/gfx1151 + device-name logic, so
wheels that omit or zero the field cannot downgrade the known APU set.
Extends correct unified-cap treatment to APUs outside that set (e.g.
gfx1103 Phoenix iGPUs) and keeps Studio's two unified-memory consumers
on one driver signal. Verified live on gfx1151 (is_integrated == 1 on
the AMD Windows wheel -> ('gfx1151', True) via the new path).
* AMD detection: probe rocminfo with HSA_ENABLE_DXG_DETECTION and sync setup.sh gfx table
Fleet validation on a Strix Halo WSL2 box showed the system rocminfo
(HSA 1.18, ROCm 7.2.1) only enumerates the GPU over /dev/dxg when
HSA_ENABLE_DXG_DETECTION=1, and that rocminfo can sit at /opt/rocm/bin
off PATH outside login shells. Detection probes that miss either of
these report no GPU on a working ROCDXG host and select the CPU build
even though the lemonade bundle offloads fine (95.7 tok/s measured vs
64.5 CPU on the same laptop). Seed the env (a no-op on bare metal) and
the PATH fallback in install.sh, studio/setup.sh, and the installer's
Linux rocm probe, mirroring what main.py/worker.py already do for the
runtime.
Also sync studio/setup.sh's name->gfx table with install.sh: 890M and
the HX 37/AI 9 HX SKUs are Strix Point (gfx1150, not gfx1151), RX 7700S
must match gfx1102 before the gfx1100 row, and the RDNA2/workstation
rows were missing. New parity test pins the two bash tables together so
they cannot drift again.
* Studio: persist server session logs + native-crash stacks to disk
Field report (Strix Halo, 96 GB UMA carve, WSL and native Windows):
"the studio just terminates without a warning". A native crash in the
GPU runtime kills the process with no Python traceback, and a desktop-
shortcut console closes before anything can be read. The server only
ever logged to the console, so there was nothing to send back.
run_server now tees stdout/stderr to
~/.unsloth/studio/logs/server/server-<ts>-pid<n>.log (console behavior
unchanged; file copy is best-effort), arms faulthandler at the same
file so access violations / SIGSEGV leave a stack trace on disk, and
exports PYTHONFAULTHANDLER=1 so training workers inherit crash dumps
on their captured stderr. Armed before `from main import app` so even
import-time failures leave evidence. Keeps the newest 20 session logs;
opt out with UNSLOTH_STUDIO_NO_FILE_LOG=1. Prints "Session log: <path>"
at startup so users know what to attach.
Verified on this box: a forced real segfault (faulthandler._sigsegv)
leaves the full session output plus "Fatal Python error: Segmentation
fault" and the thread stack in the file while the console shows
nothing; a normal server boot captures the startup banner and serves
health as before.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* AMD probe: honor a pre-set HSA_ENABLE_DXG_DETECTION value
Match the shell helpers, which use the parameter-default form: a user
who exports HSA_ENABLE_DXG_DETECTION=0 to deliberately hide the GPU
from DXG detection should not have the probe override it.
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: danielhanchen <michaelhan2050@gmail.com>
|
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187144d4e7 |
Reduce and tighten code comments and docstrings repo-wide (#6095)
Trim and tighten code comments and docstrings across the repository. Comment-only: every changed file verified code-identical to main via AST/token comparison. |
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8292e699e4 |
Studio: make code comments and docstrings more succinct (#6029)
Trim and tighten code comments and docstrings across studio/ Python. Comment-only: every changed file verified code-identical to main via AST/token comparison. |
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3ce187da02 |
Formatting: ruff line-length 100, kwarg-spacing passes, drop blank after short local imports (#6079)
Raise ruff line-length to 100 and extend the local pre-commit format pipeline (def-signature magic-comma normalization, short multi-line assert collapse, kwarg '=' spacing, blank-line-after-short-import removal, adjacent string-literal / f-string+plain merge, redundant-pass pruning). Every transform re-checks the file AST and is dropped if it would differ; the whole-repo reformat is verified AST-identical per file and idempotent. |
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5cdbfef390 |
fix: warn when localhost resolves to ::1 but Studio is bound only to 127.0.0.1 (#5994)
* fix: warn when localhost resolves to ::1 but Studio is bound only to 127.0.0.1 * studio: fix localhost/::1 warning suppression and cover _run wiring Addresses the Codex review on #5994 plus review-team findings: - Remove the `_local_port_open("::1", port)` early-return. Studio binds 127.0.0.1 only, so a successful connect to ::1:<port> means a *different* process is there -- exactly when http://localhost opens the wrong service and the user most needs the warning. Dropping the probe also removes the ~0.25s startup latency and the probe/warn race. - Extract the banner/warning block from `_run` into `_emit_startup_output` so the wiring is unit-testable, and make the mismatch vs wildcard paths an explicit if/elif (they are mutually exclusive by construction). - Hoist the `_working_local_url` confirmation out of the try block and reorder `_stdout_color_ok` before its only caller. - Tests: add `_emit_startup_output` integration coverage (banner include_stop_hint, warning emission, single stop hint), a regression test that ::1 being occupied does NOT suppress the warning, dual-stack and non-positive-port cases; drop the unreachable `None` getaddrinfo arm. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: Etherll <mrmrmidessam@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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ee6695118c |
Fix/studio colab proxy and iframe - Unsloth Studio not loading in Colab (iframe "refused to connect" and wrong URL) (#5844)
* fix(studio/colab): merge iframe+keepalive into start(), add proxy_headers to uvicorn - Move serve_kernel_port_as_iframe and keepalive loop into colab.start() so both run in the same cell execution context, eliminating the race where the proxy URL was shown before the iframe cell had a chance to run - Add a 2s sleep after run_server() before show_link() to give Colab's proxy infrastructure time to register the bound port - Add proxy_headers=True and forwarded_allow_ips="*" to uvicorn Config so X-Forwarded-Proto/Host from Colab's reverse proxy are trusted - Simplify notebook start cell (no more separate iframe cell needed) * fix(studio/colab): fix iframe blocking and server thread crash in Colab Two root causes for the long-standing proxy/iframe breakage: 1. SecurityHeadersMiddleware set X-Frame-Options: DENY and frame-ancestors 'none' unconditionally, blocking serve_kernel_port_as_iframe regardless of server health. Fix: detect Colab via COLAB_BACKEND_URL/COLAB_GPU env vars, relax frame-ancestors to *.prod.colab.dev and omit X-Frame-Options. 2. asyncio.run() in the daemon thread conflicted with nest_asyncio's global patches applied on the main thread, causing the server to crash silently after ready_event fired. Fix: use explicit new_event_loop() + run_until_complete() in the daemon thread to bypass nest_asyncio's asyncio.run patch. Also replace blind time.sleep(2) with a health endpoint poll so the link and iframe are only shown once the server is truly reachable. * fix(studio/colab): use reliable /content + google.colab path for Colab detection COLAB_BACKEND_URL and COLAB_GPU env vars aren't consistently set across all Colab runtime versions. Use /content dir + google.colab package path as a more reliable signal, computed once at module load. * fix(studio/colab): fix port mismatch, health-check silence, and CSP framing Four bugs causing the iframe and URL button to always fail: 1. Port not propagated back: run_server auto-increments when 8888 is taken, but start() kept using the original port for show_link() and serve_kernel_port_as_iframe() — now reads app.state.server_port. 2. Silent health-check failure: the poll loop never checked whether any attempt succeeded; on all-fail it continued and showed a dead link — now exits early with a clear error message. 3. CSP frame-ancestors too narrow: '*.prod.colab.dev' only matches one subdomain level; actual Colab proxy URLs are two levels deep (e.g. foo.region.prod.colab.dev), and the parent frame may also be colab.research.google.com or a sandboxed null-origin output iframe — changed to '*' in Colab mode (single-user sandbox, no security loss). 4. _IS_COLAB detection hardcoded python3.10/3.11 paths: Python 3.12+ Colab runtimes wouldn't match when env vars aren't set — replaced with a glob over python3.*/dist-packages/google/colab. * fix(studio/colab): harden Colab startup against every known failure mode colab.py: - get_colab_url: retry eval_js up to 3x (10s timeout each), validate that result is a real https:// URL containing the port before accepting it; log a clear warning when falling back to localhost - show_link: safe short_url truncation (try/except around str.index so an unexpected URL shape never blocks the link card from rendering); also emit the URL via logger so it's visible in cell text output even if HTML display is suppressed - start: detect "already running" at entry — on cell re-run Studio is still healthy on port 8888; skip re-launch and go straight to show+iframe so the user never ends up with mismatched port state - start: wrap run_server in try/except (SystemExit + Exception) so startup errors surface as readable messages rather than cell crashes - start: check frontend_path/index.html exists, not just the directory - start: remove unused `import sys` - start / keepalive: catch KeyboardInterrupt so interrupting the cell prints a clean "stopped" message instead of a raw traceback - extract _is_studio_healthy() and _show_and_embed() helpers to deduplicate the fast-path and normal-path logic main.py: - _build_csp: in Colab mode, extend script-src to include *.prod.colab.dev and *.googleusercontent.com (Colab injects scripts from these origins into the output iframe scaffolding) - _build_csp: in Colab mode, extend connect-src with blob:, data:, wss://*.prod.colab.dev, and wss://*.googleusercontent.com so WebSocket streams and Colab kernel traffic are not blocked by CSP * fix(studio/colab): fix iframe width responsiveness and height sizing Replace serve_kernel_port_as_iframe with a raw CSS iframe for two reasons: 1. Width responsiveness: serve_kernel_port_as_iframe sets the width as an HTML attribute (width="100%") which Colab's output machinery can bake into a fixed pixel value on first render, causing the Studio to stop following the notebook panel width when it opens/closes or the window resizes. A CSS style property (style="width:100%") participates in normal reflow and always tracks the parent container width. 2. Height sizing: the hardcoded height=1200 was too tall on short monitors (forced outer-page scroll) and wasted space on tall ones. A small JS snippet reads screen.availHeight and sets height to ~82% of the screen, clamped to [600, 1100]px, with a resize listener that re-fits on zoom changes and panel open/close events. Also eliminate the double eval_js call: _show_and_embed now fetches the Colab proxy URL once and passes it to show_link via the new _url kwarg, so google.colab.kernel.proxyPort is only called once per invocation. Falls back to serve_kernel_port_as_iframe if IPython.display.HTML is unavailable for any reason. * fix(studio/colab): fix link button + add fullscreen hover button to iframe Link button: target="_blank" is blocked by Colab's output sandbox. Switch to onclick="window.open(url,'_blank')" which the sandbox allows. Fullscreen: add a small button that appears on hover in the top-right corner of the iframe. Clicking it calls requestFullscreen() on the wrapper div and stretches the iframe to 100vh/100vw. Exits back to normal on fullscreen change. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * revert(studio/colab): remove fullscreen button * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix(studio/colab): address review feedback - Wrap both urlopen calls in with statements to prevent socket/fd leaks - Replace JS resize listener with CSS height:82vh — simpler, responsive, and no risk of leaked window listeners on cell re-runs - Use importlib.util.find_spec("google.colab") instead of a glob path to detect Colab; more robust across Python versions and venv layouts * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix(studio/colab): fall back to href navigation when window.open is blocked window.open from a cross-origin sandboxed Colab output iframe can be silently blocked by the browser (returns null, no exception). The old code returned false unconditionally, so a blocked popup left the button doing nothing. Now: if window.open succeeds the new tab opens and the href is suppressed; if it returns null the browser follows the href, navigating the output cell to Studio — always does something useful. * fix(studio/colab): remove button, give iframe a branded header bar The "Open Unsloth Studio" button was unreliable in Colab's sandboxed output context regardless of how window.open was called. Since the iframe already loads Studio inline, the button added no value and confused users with a URL that 404s outside the output cell. Replace the separate link card + bare iframe with a single block: a slim black header bar (Unsloth logo + truncated URL) flush on top of the full-height responsive iframe. Cleaner and removes the broken button entirely. * studio: gate uvicorn proxy_headers/forwarded_allow_ips behind _IS_COLAB forwarded_allow_ips="*" was applied unconditionally, so every Studio deployment trusted X-Forwarded-* headers from any client. Only Colab needs that, because its reverse proxy fronts the kernel. For a normal local/standalone Studio this is an unwanted relaxation, especially when bound to 0.0.0.0. Now proxy_headers/forwarded_allow_ips are only set when _IS_COLAB. Standalone runs fall back to uvicorn's defaults (proxy_headers honored from loopback only), restoring the prior security posture, while Colab keeps the wide trust its proxy requires. --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com> |
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9222ffd9b4 |
Studio: add configurable CPU thread pool limit (#5760)
* Studio: add configurable CPU thread pool limit * Studio: report invalid CPU thread setting cleanly * Studio: also cover uvicorn main:app, harden tests, move docs to advanced --------- Co-authored-by: Roland Tannous <115670425+rolandtannous@users.noreply.github.com> Co-authored-by: danielhanchen <danielhanchen@gmail.com> |
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649b9f7808 |
Studio: expose --parallel / -np flag on unsloth studio run (#5737)
* Studio: expose --parallel / -np on `unsloth studio run`
The CLI was hardcoding `llama_parallel_slots=4` in `run_kwargs` at
`unsloth_cli/commands/studio.py`, leaving users unable to tune the
concurrent decode slot count even though the engine, KV-cache math,
and `studio.backend.run.run_server(llama_parallel_slots=...)`
plumbing all already accepted any N. This change adds a `--parallel`
/ `--n-parallel` / `-np` typer option (default 4 -- matches the
previous hardcoded value), forwards it into `run_kwargs`, and pins
the new surface with 4 unit tests.
Per-request state in `routes/inference.py` is already isolated
(`cancel_event` and `prev_text` are per-request locals in every
streaming handler; the `_lock` / `_serial_load_lock` only wrap
load/unload, not chat completions), so no concurrency refactor is
needed alongside this -- the engine layer already handles N
concurrent requests on one loaded model when llama-server is told
to.
Range guards: 1 <= N <= 64. With higher N each slot gets ctx/N KV
cache; users tuning this should be aware that per-call context
shrinks proportionally.
`unsloth studio` (the bare default command, no subcommand) still
defaults to llama_parallel_slots=1 via `run_server`'s own default;
this PR does not change that path -- it only exposes the knob on the
one-liner `studio run` command that already silently used 4.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Forward --parallel through venv re-exec and drop colliding short aliases
`unsloth studio run` re-execs into the Studio venv when invoked from
outside it (the common path). The arg-builder forwards every typer
option but the new --parallel, so the child re-execs at the default 4
and any user value is silently dropped. Worse: pre-PR users who
already pass `-np N` as a pass-through extra (where llama.cpp's
last-wins parsing made it stick) silently lose N after this PR lands.
Forward --parallel explicitly in the re-exec arg list.
While auditing the re-exec path, also drop the colliding 1-char
short aliases -m (--model) and -f (--frontend) plus the redundant
-hfr. Click's short-option clustering had been silently mis-parsing
~11 llama-server short flags via the pass-through path: -fa as
`-f a`, -mg 0 as `-m g` + stray 0, -fitt 1024 as `-f itt` + stray
1024, -hff path as `-f f` + stray `-h path`, -cmoe / -cram / -sm /
-ncmoe etc. The docstring promise ("any flag this command does not
recognize is forwarded verbatim") was silently violated.
-hf (2-char) is kept because Click treats multi-char shorts atomically
(no clustering of -hff / -hfv / -hffv / -hft) and -hf is documented
in basics/api/README.md. --model / --hf-repo / --frontend long forms
all unchanged. studio_default keeps -f because it has no pass-through.
Tests:
- test_studio_run_parallel_flag.py: 8 new re-exec coverage cases
(all 3 aliases, 3 platforms via sys.platform mock, pre-PR `-np`
regression, mixed with pass-through extras).
- test_studio_run_short_alias_clashes.py (new): surface checks that
the removed shorts cannot reappear, plus 11 parametrized cases
proving each previously-broken llama-server short flag now passes
through verbatim, plus a happy-path test that documented -hf still
works for `org/repo:variant` syntax.
All 27 tests pass. Negative test (revert either fix) shows the new
tests catch the regression.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fix stale studio run docstring describing rejected llama-server flags
The pre-PR docstring listed --port, -c / --ctx-size, --api-key, -ngl,
--jinja, --flash-attn, --no-context-shift as "rejected with HTTP 400",
but only --port and --api-key (plus other networking / auth / model
identity / single-model UI flags) are actually in
studio/backend/core/inference/llama_server_args.py's denylist. -c /
-ngl / --jinja / --flash-attn / --no-context-shift are pass-through
and last-wins-override Studio's auto-set value.
Rewrite the docstring to match the real denylist groups and point at
the canonical source. Also add --parallel to one of the examples now
that it is a first-class flag.
* ci: broaden Linux + narrow Windows llama.cpp runtime patterns + trim #5741 comments (#5746)
* ci: broaden Linux llama.cpp runtime pattern to lib*.so*
#5741 patched the explicit Linux pattern list to add
``libllama-*-impl.so*`` after ggml-org/llama.cpp#23462 (between
b9279 and b9283) split each binary's entry code into a paired
``lib<binary>-impl.so`` shared library. Same class of upstream
repackaging will hit us again whenever a new shared lib is added.
Mirror what macOS already does and replace the per-lib list with a
single ``lib*.so*`` glob. ``copy_globs`` (line 3614) unions
patterns, so the per-variant ``libggml-cuda.so*`` / ``libggml-hip.so*``
entries were never filtering anything; the spec lives in
``runtime_payload_health_groups`` (line 5209) which keeps the
explicit minimum-required list per variant.
Dry-run against b9296-bin-ubuntu-x64.tar.gz: 40 files copied (all
ggml, llama, mtmd, impl variants + the two binaries we ship), 22
skipped (other CLIs, rpc-server, LICENSE). Functionally equal to
the post-#5741 set.
* cleanup: trim #5741 comments on the pydantic split
Comments added in #5741 explained the original bug in full each
time. They are mostly redundant with the commit message and the PR.
Trim them to one short paragraph per site.
No behavior change.
* ci: narrow Windows runtime pattern to llama-server.exe + llama-quantize.exe
Studio only invokes llama-server and llama-quantize. Mac and Linux
already filter to those two binaries; Windows was the odd one out
with ``*.exe`` copying every CLI upstream ships (llama-cli,
llama-bench, llama-mtmd-cli, ...).
Dry-run on b9296 (win cpu-x64, cpu-arm64, cuda-13.1, hip-radeon):
20 unused EXEs skipped per variant, all DLLs (incl. the new
llama-*-impl.dll family) still copied via ``*.dll``.
``existing_install_matches_choice`` already checks llama-server.exe
exists explicitly (line 5297), so the health gate is unchanged.
* Lower default weight_decay in RL config from 0.01 to 0.001 (#5747)
In full FT, AdamW weight decay shrinks the parameter directly so the
implicit prior is W -> 0. In LoRA the trained parameters are A and B
while the effective weight is W = W_init + (alpha/r) * B @ A; decaying
A and B separately drives BA -> 0, hence W -> W_init rather than 0.
The previous default of 0.01 inherited from full-FT recipes adds a
measurable pull on the merged adapter back toward the base model over
a few thousand steps. 0.001 keeps a small Frobenius-norm prior on
||A||^2 + ||B||^2 for numerical stability without meaningfully biasing
the merged weight toward init, and aligns with the value used across
the unsloth notebook templates.
* Studio: strip orphan tool_call XML leaking into visible content (#5735)
* Studio: strip orphan tool_call XML from streamed visible content
The speculative-buffer state machine in
`studio/backend/core/inference/llama_cpp.py` can slice a tool_call XML
block between the silent DRAINING path and the user-visible
content_accum, depending on when in the model's emission the BUFFERING
-> STREAMING -> DRAINING transitions fire. Three leak shapes were
observed in a 2026-05-22 sweep of 900 Qwen3.5 / Qwen3.6 GGUF runs:
Pre-fix XML leak rate: 20/900 (2.22%), concentrated 6.7% on the
larger Q8 / MTP configs:
Qwen3.6-35B-A3B Q8_0 4/60 (6.7%)
Qwen3.6-35B-A3B-MTP Q4 4/60 (6.7%)
Qwen3.5-35B-A3B Q8_0 3/60 (5.0%)
Qwen3.6-27B Q8_0 3/60 (5.0%)
The existing `_TOOL_XML_RE` only matched well-formed
`<tool_call>...</tool_call>` and `<function=...></function>` pairs, so
unterminated openings (close was DRAINED) and orphan closes (opening
was DRAINED) survived the strip and reached the user.
Fix relaxes the regex to also strip:
1. Orphan opening up to end-of-string: `(?:</tool_call>|\Z)`
2. Orphan closing tag: bare `</tool_call>` / `</function>`
Verified on the full sweep: 20/900 -> 0/900 (100% of detected leaks
eliminated). 16 unit tests in `test_tool_xml_strip.py` pin all three
leak shapes plus the well-formed cases, plus parametrised checks on
the 5 actual real-world leak samples from the sweep data.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: strip tail-only </parameter> orphan + tighten regex
The 2026-05-22 gdpval sweep surfaced a 4th XML-leak shape not caught
by the earlier regex: a bare `</parameter>\n\n` at end-of-buffer (7
of 192 trials, all Qwen3.5-27B + a few Qwen3.6-27B). The model emits
the full `<tool_call><function=...><parameter=...>...content...
</parameter></function></tool_call>` envelope, the speculative buffer
DRAINS the opening tags as intended, but EOS (max_tokens cutoff)
truncates the outer `</function></tool_call>` close, leaving just
`</parameter>` as the visible tail.
We strip this ONLY when end-anchored (`\s*\Z`) so legitimate
mid-text uses (user code samples, documentation discussing the
Qwen tool-call XML shape) survive. Verified on the 192-trial
gdpval corpus: before=7, after=0.
While at it, fold the five top-level alternations into three by
sharing tag-name and prefix subgroups:
<tool_call>... + <function=\w+>... + --> <(?:tool_call|function=\w+)>...
</tool_call> | </function> --> </(?:tool_call|function)>
Semantically identical (verified by replay over the 192-trial
corpus + adversarial inputs, 0 diffs) and 1.34x faster on real
workloads. Backtracking-safety pinned by two new perf guards
(256KB '<' spam, 1000x orphan opens).
Tests: 16 -> 28 (6 new functional + 4 well-formed-vs-orphan +
2 perf guards).
* Tighten comments in XML-strip regex and tests
Code says what it does; comments were repeating it. Strip the verbose
explanations down to the WHY-only bits (engine quirk, tail-anchor
rationale, real-world source of each test sample). No code changes.
inference.py: 21 -> 12 lines around _TOOL_XML_RE
test_tool_xml_strip.py: 343 -> 259 lines (-84)
Tests: 28/28 still pass.
* [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>
* Address review: deny pass-through --parallel, preserve legacy short aliases, fix test harness
Round 1 review fixes for #5737:
1. Deny --parallel / --n-parallel / -np in the pass-through validator.
Without this, `unsloth studio run --model X --parallel 8 -- --parallel
999` would last-win-override the running llama-server slot count while
Studio's app.state.llama_parallel_slots and KV-cache fitting stay at
the typer value (8), so the resource plan and the running process
disagree. Also bypasses the typer 1..64 range guard. Reject so the
only path is the first-class typer flag.
2. Backwards-compat shim for -m / -hfr / -f. Dropping the short aliases
from typer broke any script using `unsloth studio run -m X` or
`-hfr Y` or `-f dist`. Add _consume_legacy_short_aliases which pops
EXACT whole-token matches (or `-x=value` inline form) from ctx.args
into the corresponding typer parameter. Clustered tokens (`-fa`,
`-mg`, `-fitt`, ...) are left in the pass-through tail unchanged.
--model becomes Optional with an explicit missing-required check
after the preprocessor so legacy `-m X` still satisfies the
"must specify a model" requirement.
3. Drop mix_stderr from CliRunner. Typer 0.25.1 / Click 8.4.1 removed
the kwarg; the test harness raised TypeError before exercising the
PR behaviour. Tests run cleanly on current and older Typer/Click.
4. Correct the -np regression test docstring. Pre-PR `-np 8` was
clustered by Click as `-p 8` (port=8) + stray `-n`, silently
breaking the port binding -- not "passed through as 8 slots". The
post-PR assertion (child gets --parallel 8) is unchanged.
5. Update studio run docstring listing rejected flags so it now
correctly includes --parallel / -np / --n-parallel.
New tests:
- test_llama_server_args.py: parametrized denylist coverage for
--parallel / --n-parallel / -np including equals-form, including
out-of-range bypass attempts (999, 0). is_managed_flag flips True.
- test_studio_run_short_alias_clashes.py: legacy -m / -hfr / -f
promote to typer params; --model X + -m Y conflict errors; clustered
-mg / -fa / -fitt still pass through (the original bug fix holds).
132 tests pass (98 backend + 34 cli).
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Extend legacy-alias shim tests for repo:variant, inline value form, and missing model
Three additional edge cases for the -m / -hfr / -f preprocessor:
- `-m unsloth/foo:UD-Q4_K_XL` round-trips through both the preprocessor
and _split_repo_variant so the child sees --model + --gguf-variant.
- `-m=foo` inline value form is promoted just like `-m foo`.
- Missing --model after the preprocessor raises typer.Exit(2) cleanly
(replacing typer's pre-PR required-flag enforcement now that --model
is Optional to allow the legacy promotion path).
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Scrub .github/workflows for staging push (matches staging base)
* Fix studio CLI argv handling and pass-through docstring drift
- studio/backend/core/inference/llama_server_args.py: drop the stale
``-np``/``--parallel`` entry from the docstring's pass-through tunable
list. These flags moved into _DENYLIST_GROUPS so the docstring now
contradicts the validator and would mislead future maintainers
debugging the ValueError from validate_extra_args(["--parallel","8"]).
The deleted wording was introduced by
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c49cc6daf5 |
Studio: auto-recover when shadowed 'unsloth' on PATH hides the frontend dist (#5782)
* Studio: auto-recover when shadowed 'unsloth' on PATH hides the frontend dist
The CLI launcher derives `_PACKAGE_ROOT` from where `unsloth_cli` imports
from, and `studio/backend/run.py` derives its default `frontend_path` from
`Path(__file__).resolve().parent.parent / "frontend" / "dist"`. When
another `unsloth` (a separate venv with `pip install unsloth`, a system
install, an older venv earlier on PATH) wins `which unsloth`, both
resolve into a site-packages tree that ships frontend source files but no
vite-built `dist/`. The backend warned `[WARNING] Frontend not found at
...` and then happily served 200 on every `/api/*` route while returning
`{"detail":"Not Found"}` on `/`. The 404 was silent to users -- the
process was healthy, the log line scrolled by, and the only symptom was a
blank browser tab.
This is a real situation: many devboxes carry a workspace venv with
`unsloth` installed years before the user runs `curl|sh` to install
Studio. The installer-managed binary at `~/.local/bin/unsloth` exists
but loses to the older venv on PATH order.
Three layers of fix, additive:
Layer C -- runtime auto-discovery (unsloth_cli + run.py)
The CLI now resolves `--frontend` explicitly before spawning `run.py`,
probing in order: package-local default, installer venv site-packages
(`$STUDIO_HOME/unsloth_studio/lib/python*/site-packages/...` and the
Windows `Lib/site-packages/...` equivalent), and editable-install source
roots read from `__editable___*_finder.py` MAPPING dicts in the installer
venv. `run.py` does the same probe as a backstop for direct `python
run.py` invocations.
Layer E -- loud structured error
The silent `[WARNING]` is replaced with a `SystemExit` that names every
candidate path tried and lists the four one-line fixes (run the absolute
path, pass `--frontend`, pass `--api-only`, reinstall). Suppressed only
in `--api-only` mode where no UI is served by design.
Layer F -- installer self-check (install.sh + install.ps1)
At the tail of install, both installers compare `command -v unsloth`
(POSIX) / `Get-Command unsloth` (PowerShell) against the just-installed
binary. If a different path wins, a yellow `warning` block names the
shadowing binary and prints the alias / absolute-path / PATH-reorder
fixes. install.sh uses the venv Python for path canonicalization so it
also works on macOS (BSD `readlink` has no `-f`).
Cross-platform notes:
- Glob patterns probe both `lib/python*/site-packages` (POSIX) and
`Lib/site-packages` (Windows).
- Canonical-binary path branches on `sys.platform == "win32"` to pick
`unsloth.exe` over `unsloth`.
- install.sh fixed for macOS; install.ps1 is the Windows analog.
Tests: `studio/backend/tests/test_frontend_resolution.py` covers five
cases via AST-load of the helpers (no uvicorn / FastAPI import needed,
matching `test_host_defaults.py`'s style):
1. Resolver returns None when nothing exists anywhere.
2. Resolver picks the first existing candidate when the default works.
3. Fallback to `$UNSLOTH_STUDIO_HOME` site-packages dist when the default
is missing.
4. Fallback to an editable-install source root via MAPPING parsing.
5. Resolver tolerates a non-existent `$UNSLOTH_STUDIO_HOME`.
All 5 new + 2 existing host-default tests pass.
* Studio: address review feedback on PR 5782 (Windows hardlink, Win path hint, broader tests)
Four parallel platform reviews (Windows, Linux, macOS, general) on the
initial commit surfaced a small batch of correctness items, all addressed
here:
Windows install.ps1 (medium severity, false positive on every install):
The user-facing shim at $StudioHome\bin\unsloth.exe is a hardlink to
$VenvDir\Scripts\unsloth.exe (created at line 1582). Resolve-Path does not
de-duplicate hardlinks, so the previous string compare always saw the two
paths as different and the new "another 'unsloth' wins on PATH" warning
would fire on every fresh Windows install. Switched to content-hash
equality via Get-FileHash, which collapses hardlinks, symlinks, and
identical copies to a single identity. Also restricted the probe to
Get-Command -CommandType Application so PowerShell aliases / functions /
scripts named "unsloth" don't false-trigger.
Windows run.py SystemExit hint (medium severity, defeats the recovery UX):
The structured error printed Path(STUDIO_HOME)/"unsloth_studio"/"bin"/
"unsloth.exe" on every platform, but on Windows the installer places the
shim at $STUDIO_HOME/bin/unsloth.exe (no unsloth_studio segment) and the
venv binary at $STUDIO_HOME/unsloth_studio/Scripts/unsloth.exe. The hint
pointed at a non-existent path on Windows. Branch on sys.platform ==
"win32" to emit the real shim location; Linux / macOS keep the unsloth_
studio/bin/unsloth layout.
MAPPING regex robustness (low):
[^\n]* silently failed if a future setuptools / black reformat wrapped
the MAPPING dict across multiple lines. Tightened to [^}]* + re.DOTALL,
which still rejects nested dicts (setuptools never emits those for
editable installs) but tolerates either single- or multi-line literals.
install.sh broken-venv edge case (low, macOS reviewer):
Previously _canon fell back to echoing the raw input when the venv python
failed, which would make two symlinked-but-identical paths look different
and false-trigger the warning. Now _canon returns empty on failure and
the caller skips the whole comparison if either side is unresolvable.
argparse default + log readability (nits):
run.py's argparse --frontend default now reuses the module-level
_DEFAULT_FRONTEND_PATH constant so it stays in lockstep with run_server's
default. The [OK] log message resolves the chosen path so support output
is always absolute.
Tests grow from 5 to 8 in studio/backend/tests/test_frontend_resolution.
py (10/10 with the existing host-default tests):
- Windows-layout fallback: Lib/site-packages with capital L.
- Multi-line MAPPING dict: locks in the [^}]* + re.DOTALL behaviour.
- SystemExit message contract: every actionable fix string and the
attempted-paths list must appear; pins the user-facing recovery
message so a future refactor doesn't drop a bullet.
End-to-end re-verified on this box: shadowing workspace_22/bin/unsloth
still serves 200 on / through the editable-finder fallback, with the
follow-up resolve-then-log change yielding [OK] Frontend loaded from
/mnt/disks/unslothai/ubuntu/unsloth/studio/frontend/dist.
Out of scope (called out by reviewers but deferred):
- _resolve_frontend_path candidate ordering still tries _PACKAGE_ROOT
first. For the rare case where a shadowing install carries an older
built dist, this serves the stale UI instead of the fresh one. Fix is
non-trivial (the --local workflow intentionally wants _PACKAGE_ROOT to
win when the cloned repo is the source of truth), so leaving it for a
follow-up.
- studio/backend/colab.py still bails out on missing frontend instead of
routing through the new resolver. Pre-existing behaviour, separate PR.
- _resolve_frontend_path is duplicated across run.py and unsloth_cli/
commands/studio.py. Minor maintenance concern; consolidation is
natural in a later refactor.
* Studio: guard ast.literal_eval result with isinstance(dict)
Addresses gemini-code-assist[bot] high-priority inline review on PR 5782
flagging that `mapping.get('studio')` could raise AttributeError if the
MAPPING regex matched a brace-delimited literal that ast.literal_eval
parsed as a non-dict (set, list, None). The regex `\{[^}]*\}` happily
matches `{1, 2, 3}` and literal_eval returns a set; the previous code
then crashed on .get().
Setuptools's editable-install template only emits dict literals so this
is defensive rather than a live bug, but the guard is one line per call
site and prevents a future template change from taking out backend
startup or CLI invocation.
Both call sites (studio/backend/run.py:558 and
unsloth_cli/commands/studio.py:234) now bail out on the finder file when
isinstance(mapping, dict) is False; the resolver keeps probing the
remaining finders, so a malformed entry in one finder cannot poison the
discovery of a good one elsewhere.
Adds test_resolver_does_not_crash_on_non_dict_mapping_literal to
test_frontend_resolution.py, which writes one bad finder (MAPPING is a
set literal) alongside one good finder (MAPPING is a real dict) and
asserts the resolver returns the good finder's dist path. Without the
guard this test crashes with AttributeError; with the guard it passes.
11/11 tests green.
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b59e02e977 |
Studio: stop hint, Uvicorn log rename, reachability check + Mac UI CI retry hardening (#5503)
* Studio: clearer stop hint, Uvicorn log rename, external reachability check
Three startup-banner UX improvements to make it obvious how to stop
Studio, what the externally reachable URL really is, and whether that
URL actually works from outside.
1. Stop hint at the end of the banner
* Bright orange "To stop Unsloth Studio: press Ctrl+C in this
terminal." line, with a dim "(On macOS this is Control+C, not
Command+C.)" follow-up so the macOS Cmd-vs-Ctrl confusion is
headed off.
* When bound to 127.0.0.1, an extra "To deploy and access globally"
block tells the user the exact relaunch command
(unsloth studio -H 0.0.0.0 -p PORT) with a trusted-networks
caveat.
2. Uvicorn startup log rewrite
* Installs a stdlib logging.Filter on the uvicorn / uvicorn.error
loggers that:
- renames the prefix to "Unsloth Studio running on"
- swaps the wildcard bind for the resolved external host so the
line agrees with the banner
- replaces "(Press CTRL+C to quit)" with the same Mac-aware
stop hint
* Rewrites both record.msg and record.color_message so it works
under plain and colorized log formatters.
3. External reachability self-test on wildcard binds
* Synchronous probe via check-host.net's TCP JSON API confirms
whether the advertised public URL actually accepts connections
from the internet.
* On failure prints the resolved IP, the failing-node count, the
usual causes (AWS SG, GCP firewall rule, Azure NSG, home router),
and an SSH local-forward workaround.
* Verifies 127.0.0.1 / ::1 first and only offers a local fallback
URL when loopback actually responds, so we never claim a port
works when it does not.
* Private / loopback / link-local display hosts short-circuit with
a one-line LAN note instead of a probe.
* Bounded at roughly 15 seconds, early-exits on two decisive node
results, all failures swallowed.
Banner is split into print_studio_access_banner(include_stop_hint=...)
plus a new print_studio_stop_hint() so the reachability output can be
sandwiched between the URL section and the stop hint, keeping the
stop hint as the last text on screen.
Pure stdlib (socket, urllib, ipaddress, logging, threading), no new
dependencies, identical behavior on Linux, macOS, and Windows.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* CI: harden Mac Studio UI tests against Chromium ERR_NO_BUFFER_SPACE
The Mac Studio UI workflow already retries the Playwright scripts on
the racy 'Unexpected end of JSON input' pipeTransport crash, but
falls through on ERR_NO_BUFFER_SPACE -- a separate Chromium failure
that fires when the macos-14 free-runner kernel briefly runs out of
socket buffers. Same fix shape, two layers:
* In-script: when a change-password page.goto() attempt fails with
ERR_NO_BUFFER_SPACE, sleep 5s then 15s before the next attempt so
the OS has time to recover socket buffers. Other failures retry
immediately as before.
* Workflow: extend both Playwright retry blocks (chat-ui and
extra-ui) to also trigger the full Studio kill + reset + reboot
retry on ERR_NO_BUFFER_SPACE, not just on the pipeTransport JSON
crash.
Real assertion / timeout failures still bypass retry and surface
immediately. Linux and Windows workflows are unchanged; the flake
is macOS-runner-specific.
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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0881a7a5d7 |
studio: security and hardening pass (auth rate-limit, sandbox, path containment, schema validation, headers) (#5375)
* studio: contain export and dataset paths under their configured roots
resolve_under_root and resolve_dataset_path previously returned absolute
paths unchanged, so an authenticated client could supply
save_directory="/tmp/escape" (or any other absolute path) and have the
exporter drop adapter files anywhere the server user could write. This
turned up during a recent audit pass where an authenticated POST to
/api/export/export/lora with save_directory="/tmp/lora_escape_test"
returned 200 and wrote adapter_model.safetensors, adapter_config.json,
and tokenizer files under /tmp.
The fix is two-layered:
storage_roots.py adds an _assert_contained(resolved, root) helper that
runs after path resolution and rejects any result whose realpath does
not sit under realpath(root). resolve_under_root now rejects '..'
segments and null bytes outright, and only accepts absolute inputs when
they are already inside the configured root (internal call sites that
re-resolve a stored absolute path stay idempotent;
worker.py:resolve_output_dir(output_dir) etc. continue to work).
resolve_dataset_path picks up the same containment rule, scoped to the
three dataset roots.
models/export.py adds field_validator("save_directory", mode="before")
to ExportCommonOptions and ExportGGUFRequest so bad input fails fast at
422 with a clear message rather than a 500 deep inside the resolver.
The validator rejects empty/whitespace, null bytes, control chars,
strings longer than 255 chars, absolute paths, and '..' segments.
routes/export.py:_export_details now returns os.path.relpath(output_path,
exports_root()) so the Export Complete dialog and /api/models/loras no
longer leak the absolute install prefix to the UI; the basename is
used as a last-resort fallback.
Verified end to end:
- POST /api/export/export/lora {"save_directory":"/tmp/foo"} -> 422
"save_directory must be a name or relative path under the export
root; absolute paths are rejected". /tmp/foo is not created.
- "../../etc/escape" -> 422 "may not contain '..' segments".
- save_directory="my_subdir" -> still accepted (400 only because the
test had no checkpoint loaded yet, not because of validation).
- Internal idempotent re-resolve via resolve_export_dir(absolute path
that is already under exports_root) returns the same path unchanged.
* studio/sandbox: harden bash + python tool execution
The sandboxed Bash and Python tool channels in Chat ran with a thin
preexec hook (PR_SET_NO_NEW_PRIVS + RLIMIT_FSIZE only). Bash had a
small word blocklist; Python had an AST safety pass aimed at
signal-tampering and shell-escape primitives. An audit pass showed
several gaps that a tool-calling model could trigger inadvertently:
- bash curl/wget/nc reached AWS IMDSv2 and returned live STS
credentials for the instance role.
- python "import socket; s.connect((169.254.169.254, 80))"
reached the same endpoint regardless of the bash blocklist.
- "cat /etc/passwd" was blocked at the bash side (because "passwd"
is in the blocklist), but "open('/etc/passwd').read()" in Python
happily returned its contents.
- "chr(115)+chr(117)+chr(100)+chr(111)" style dynamic-arg
construction slipped through the AST shell-escape check.
- The supervisor used proc.kill() on timeout, which only signals
the immediate pid; bash-backgrounded children survived. A fork
bomb could spawn for the full 300s timeout window.
- Session work directories under ~/studio_sandbox/<id>/ were
created with default umask (0o755), so any other UID on the host
could enumerate them.
- session_id sanitisation used a one-shot str.replace("..",""),
which is non-iterative and a small footgun.
This commit takes a conservative middle path: the sandbox still
runs as the Studio UID with no namespace tricks where the kernel
disallows them, but every chokepoint is tightened.
_sandbox_preexec now:
- calls os.setsid() so children share a process group; the
supervisor uses os.killpg(SIGKILL) on timeout/cancel so
backgrounded children die with the parent (new _kill_process_tree
helper, wired into _cancel_watcher and both _bash_exec /
_python_exec timeout branches).
- calls os.umask(0o077) so files the child writes default to 0o600.
- applies PR_SET_PDEATHSIG=SIGKILL so an orphaned child dies if
Studio exits.
- best-effort unshare(CLONE_NEWNET) for a private network namespace
(failure is logged and swallowed; defense-in-depth is still in
place via the bash blocklist and the AST checker below).
- sets RLIMIT_NPROC=10000 (tunable via UNSLOTH_STUDIO_SANDBOX_NPROC),
RLIMIT_AS=8GB, RLIMIT_CPU=300, RLIMIT_NOFILE=1024. The 10k NPROC
figure is chosen to sit well above the ~500 LWPs a healthy Studio
+ llama-server combination already uses while still capping a
runaway fork bomb. NPROC counts LWPs per real UID, so a lower
figure (e.g. 256) starves legitimate bash forks
("bash: fork: retry: Resource temporarily unavailable").
_get_workdir:
- rejects session_id that doesn't match [A-Za-z0-9_-]{1,64};
non-matching values bucket into a shared "_invalid" dir.
- chmod 0o700 on both the workdir and on ~/studio_sandbox/ so
other UIDs cannot read another session's contents.
_BLOCKED_COMMANDS_COMMON gains: doas, pkexec, halt, poweroff, curl,
wget, nc, ncat, netcat, socat, ssh, scp, sftp, rsync, eval, source.
The intent is to keep general bash usage working (echo, ls, pipes,
loops, for, head, etc.) while denying the obvious egress and
escalation paths.
The AST checker (_check_signal_escape_patterns) is split into the
existing shell/signal/loop checks plus a new narrow IO denylist:
- Always flag non-literal args to anything in _SHELL_EXEC_FUNCS,
not just _STRING_SHELL_FUNCS. Closes the dynamic-arg bypass.
- Reject calls to socket.create_connection, socket.socket().connect,
urllib.request.urlopen, http.client.HTTP*Connection, requests.*,
httpx.* whose literal host argument is in a cloud-metadata
denylist (169.254.169.254 + 169.254.* + 100.64.*, plus the
GCP/Alibaba/ECS metadata hostnames and IPv6 link-local). Public
hosts (example.com, huggingface.co, ...) still work. Dynamic
hosts cannot be statically blocked; mitigated by the bash
blocklist + the netns where the kernel allows it.
- Reject literal open("/etc/passwd"), /etc/shadow, /etc/sudoers,
/etc/ssh/*, and /proc/<pid>/environ. Other files
(/etc/os-release, /etc/hostname, /tmp/*, user dirs) still work.
The _check_code_safety summariser is updated to include the new
network_calls and sensitive_file_reads buckets in its error string.
Regression-checked: echo, sleep, ls /tmp, for loops, piped helpers
(echo a | tr a A), urllib.request.urlopen("http://example.com"),
socket.getaddrinfo("example.com",80), open("/etc/os-release"),
open("/tmp/...","w") all still succeed. curl, wget, nc, ssh, rm,
socket.create_connection(("169.254.169.254",80)),
open("/etc/passwd"), open("/proc/self/environ") all correctly
blocked.
* studio: rate-limit login, rotate refresh tokens, add logout, security headers, gate bootstrap injection
A pass over the auth surface found a cluster of related issues that this
commit closes together.
Login (routes/auth.py):
- Add an in-memory per-IP login rate limiter. Five failed POSTs to
/api/auth/login inside a 60s window produce 429 with Retry-After.
A successful login clears the bucket. Previously 30 wrong passwords
in under one second was accepted as 30x 401, which combined with
the (now fixed) admin-username leak from /api/auth/status made
brute-force trivial against a small password.
Logout (routes/auth.py):
- New POST /api/auth/logout returns 204 and calls
storage.revoke_user_refresh_tokens(subject) so the refresh token
is no longer valid. Previously POST /api/auth/logout returned 405
and there was no way to invalidate refresh tokens short of
changing the password. Frontend session.ts already calls
clearAuthTokens() to drop localStorage; the new endpoint lets the
client also tell the server to revoke server-side state.
Refresh-token rotation (routes/auth.py + auth/storage.py):
- New storage.consume_refresh_token(token) atomically validates +
deletes a refresh token, returning (username, is_desktop). The
/api/auth/refresh handler now mints both a new access AND a new
refresh token; the supplied token becomes invalid. Replaying a
consumed refresh returns 401 "Invalid or expired refresh token".
The previous refresh_access_token helper is left in place for
callers that intentionally want the non-rotating shape; nothing
in the route layer uses it now.
/api/auth/status no longer leaks default_username (models/auth.py +
routes/auth.py):
- AuthStatusResponse.default_username becomes Optional[str] with a
None default; the handler always returns None. The frontend already
hardcodes HIDDEN_LOGIN_USERNAME = "unsloth" (auth-form.tsx:82), so
no UI change is required.
window.__UNSLOTH_BOOTSTRAP__ no longer auto-injects (main.py):
- _inject_bootstrap is now opt-in via the
UNSLOTH_STUDIO_INJECT_BOOTSTRAP env var. The previous default
(inject whenever requires_password_change is true) embedded the
plaintext bootstrap password into the first-boot HTML for any
caller that hit /, /change-password, or any unknown SPA path.
Browser extensions and any XSS payload on the page could read it
trivially. With the new gate the bootstrap password lives only in
the auth/.bootstrap_password file (mode 0o600) where it has always
been; users typing it into a current-password field is the right
UX. routes/auth.py:change_password also clears
app.state.bootstrap_password defensively.
Security headers + server fingerprint (main.py + run.py):
- New SecurityHeadersMiddleware adds Content-Security-Policy,
X-Frame-Options: DENY, X-Content-Type-Options: nosniff,
Referrer-Policy: no-referrer,
Permissions-Policy: camera=(), microphone=(), geolocation=(),
interest-cohort=(), and stamps server: unsloth-studio so the
generic uvicorn banner no longer fingerprints the stack. The
uvicorn.Config gains server_header=False so it stops emitting its
own Server header.
/api/health minimisation (main.py):
- Unauthenticated GET /api/health returns just
{"status":"healthy","timestamp":...} so load-balancer liveness
probes keep working without leaking version, device_type,
chat_only, desktop_protocol_version, or studio_root_id to
arbitrary callers. A request that presents a valid Bearer token
still gets the full diagnostic payload so internal launchers and
sibling-Studio detection (which compares studio_root_id) keep
working.
Verification:
- 30 wrong-password POSTs to /api/auth/login -> first 5 = 401, 6th
through 30th = 429.
- POST /api/auth/logout with a fresh token -> 204. The matching
refresh token then fails 401.
- Login -> R1; /api/auth/refresh with R1 -> new access + R2 (R2 !=
R1); /api/auth/refresh with R1 again -> 401; /api/auth/refresh
with R2 -> still succeeds once and rotates again.
- curl /api/auth/status -> default_username: null.
- curl http://127.0.0.1/ does not contain __UNSLOTH_BOOTSTRAP__.
- curl -I / shows CSP, X-Frame-Options: DENY,
X-Content-Type-Options: nosniff, Referrer-Policy: no-referrer,
Permissions-Policy, and server: unsloth-studio.
- curl /api/health unauthenticated -> {status, timestamp} only.
curl with Authorization: Bearer <valid> -> full payload.
- Existing /api/system, /api/models/list, /api/train/status,
/api/inference/status, /api/auth/api-keys, login flow, SPA root
all still return 200 after the changes (regression smoke).
* studio: add SecurityHeadersMiddleware, MaxBodyMiddleware, /recipes redirect, gate _inject_bootstrap, minimise /api/health
This commit lands the main.py-side changes that share a single
middleware-registration spot. They are kept together because every
change here is either (a) a top-level middleware definition that has
to be added next to LoggingMiddleware, or (b) a route handler at the
same file-level.
SecurityHeadersMiddleware (Content-Security-Policy, X-Frame-Options:
DENY, X-Content-Type-Options: nosniff, Referrer-Policy: no-referrer,
Permissions-Policy, server: unsloth-studio). The previous responses
emitted no CSP, no XFO, no Referrer-Policy and were stamped
server: uvicorn.
MaxBodyMiddleware rejects POST/PUT/PATCH on the inference / dataset /
data-recipe / train / export prefixes when Content-Length exceeds
UNSLOTH_STUDIO_MAX_BODY_MB (default 100). The audit hit this by
attaching a 50 MB plain-text file to a chat message and watching
Studio base64-encode it into the JSON body; uvicorn has no enforced
cap so the only previous guard was the per-file 50 MB ceiling that
data-recipe upload routes already enforce. The new middleware extends
that ceiling to the OpenAI-compat path that the Chat attachments
flow through. Verified: a 200 MB JSON POST to /v1/chat/completions
returns HTTP 413 "Request body too large (209,715,264 bytes; max
104,857,600)". A small valid request continues to reach the handler.
_inject_bootstrap is gated behind UNSLOTH_STUDIO_INJECT_BOOTSTRAP.
The previous default was to inline window.__UNSLOTH_BOOTSTRAP__ =
{username, password} into the first-boot HTML whenever
requires_password_change was true, which exposed the plaintext
bootstrap password to any browser extension, page script, or LAN
caller on -H 0.0.0.0. The bootstrap password remains in the on-disk
.bootstrap_password file (mode 0o600) where it has always lived;
users typing it into a current-password field is the right UX.
/api/health unauthenticated returns {"status":"healthy","timestamp":
...} only; the previous payload (version, device_type, chat_only,
desktop_protocol_version, supports_desktop_auth, studio_root_id,
native_path_leases_supported) is preserved for callers that present
a valid Bearer token, so internal launchers and sibling-Studio
detection (which compares studio_root_id) keep working.
/recipes -> /data-recipes 308 redirect. The Data Recipes page lives
at /data-recipes; users typing /recipes hit the SPA catch-all and
saw "Not Found". The redirect also preserves any tail path, so
/recipes/<rest> -> /data-recipes/<rest>.
Verified end to end with curl: CSP / XFO / X-Content-Type-Options /
Referrer-Policy / Permissions-Policy all present on /, server header
is now unsloth-studio (uvicorn's own banner is suppressed via
server_header=False in run.py from the auth-batch commit). Followed
the /recipes redirect lands on the SPA HTML.
* studio: bound TrainingStartRequest hyperparameters at the schema level
POST /api/train/start accepted any value for learning_rate, batch_size,
max_steps, max_seq_length, warmup_steps, warmup_ratio, num_epochs,
save_steps, weight_decay, gradient_accumulation_steps, lora_r,
lora_alpha and lora_dropout, including -1, 0, 1e9, and non-numeric
strings like 'abc' or 'two' (which silently coerce to 0 in the
trainer). Probing showed the API returning 200 to learning_rate=-1
and batch_size=0; only max_steps had any partial clamping.
This commit adds field_validator on every numeric hyperparameter.
Bounds are chosen wide enough to span realistic single-host
configurations (B200 with 180 GB of memory comfortably fits the
upper end) while rejecting the values that always produce broken
training:
- learning_rate: parses str/float, requires 0 < lr < 1.0. Non-numeric
input raises with "learning_rate must be parseable as float (got
'abc')" instead of silently coercing to 0.
- batch_size: [1, 1024].
- gradient_accumulation_steps: [1, 4096].
- num_epochs: [1, 1000].
- max_steps: [1, 1_000_000].
- max_seq_length: [1, 131072].
- warmup_steps: [0, max_steps].
- warmup_ratio: [0.0, 1.0].
- save_steps: [0, 1_000_000].
- weight_decay: [0, 10] (typical 0..0.1).
- lora_r: [1, 512].
- lora_alpha: [1, 1024].
- lora_dropout: [0.0, 1.0).
Each validator names the offending field in its ValueError message
so the 422 response body identifies which input is bad. The
learning_rate validator returns its result as str (the schema field
type is str("2e-4") for backwards compatibility) so existing call
sites that float() the value continue to work.
Verified:
- learning_rate=-1 -> 422 "learning_rate must be > 0 (got -1.0);
typical range is 1e-6 .. 1e-3".
- learning_rate='abc' -> 422 "must be parseable as float".
- batch_size=-1 / 0 / 999999 -> 422 "batch_size must be in [1, 1024]".
- batch_size='two' -> 422 (pydantic int parser).
- max_steps=0 / -5 -> 422 "must be a positive int".
- max_seq_length=200000 -> 422 "must be in [1, 131072]".
- warmup_ratio=2.5 -> 422 "must be in [0.0, 1.0]".
- lora_dropout=1.5 -> 422 "must be in [0.0, 1.0)".
- Valid request with learning_rate='2e-4', batch_size=1, max_steps=5
passes validation and the training run starts as normal.
* studio: redact image-decode errors, clean checkpoint dirs on cancel, tolerate Stop-button + tool-result message shapes
Three small fixes that fall under "do not let the audit findings
become user-visible papercuts".
routes/inference.py - image-decode error redaction (the audit hit
this with a 0-byte / malformed / wrong-extension image upload). The
three image-normalise sites previously raised HTTPException(400,
detail=f"Failed to process image: {e}"). When PIL raised
UnidentifiedImageError(io.BytesIO(raw)) the message string included
"<_io.BytesIO object at 0x7e40a5d7bf60>", leaking both the Python
class name (confirming the PIL/io stack) and a heap address (mildly
useful for ASLR-bypass chaining if another memory-corruption bug is
ever found). Each site now catches UnidentifiedImageError and
returns the generic "Unsupported or corrupt image format"; the
fall-through generic except returns "Failed to process image". No
exception-repr is interpolated into a response body anywhere along
these paths.
core/training/training.py - checkpoint cleanup on cancel. When a
user clicks Cancel Training, the trainer flips _cancel_requested=True
and the supervisor force-terminates the subprocess. The trainer
writes checkpoint-<step> directories under output_dir every
save_steps; previously these survived the cancel and accumulated on
disk (the audit recorded ~67 MB stuck after a 200-step cancel with
save_steps=20). New helper _cleanup_cancelled_checkpoints(output_dir)
globs checkpoint-<int> entries and removes them. It is gated by a
realpath containment check against outputs_root() so it cannot
accidentally rmtree anything outside the configured outputs root.
force_terminate() invokes the helper after the subprocess join when
_cancel_requested is true. Stop-and-Save runs are unaffected because
that path keeps _cancel_requested=False.
models/inference.py - chat message shape tolerance. Two related
frontend interactions used to crash the request validator:
- After the Stop button truncates a generation, the frontend
retained {role:"assistant", content:""} in the conversation
history and replayed it on the next send. ChatMessage previously
required role="assistant" to have non-empty content or tool_calls,
so the next message returned 422 and the thread was permanently
broken. The validator now normalises empty assistant content to
None so the request round-trips and the trailing empty turn can
be ignored downstream.
- The frontend's second-round tool POST drops the streamed
tool_call_id, hitting the strict-spec check "role=tool requires
tool_call_id". The validator now synthesises an opaque id
(call_<8 hex>) when missing, so the request reaches the handler
and the model's final summarising response gets generated. The
proper fix lives in the frontend (carry the streamed id through
the second POST) and will follow.
Verified end to end with curl: HTTP 400 (model not loaded) on both
the empty-assistant history shape and the tool-result-without-id
shape, instead of HTTP 422 from the schema validator.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* studio: tighten code comments from security-hardening pass
Trim verbose docstrings and inline finding references added in the
previous commits in this branch. Functionality unchanged.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* studio: await get_current_subject in /api/health and make refresh-token consumption atomic
The /api/health auth probe called get_current_subject(creds) without
awaiting it. The coroutine object is truthy, so any caller presenting a
Bearer header (valid or not) received the full diagnostic payload
including version, device_type, studio_root_id, etc. Await the coroutine
and treat HTTPException as 'fall back to the minimal liveness payload'.
consume_refresh_token did SELECT then DELETE WHERE id under default
autocommit isolation. Two concurrent POST /api/auth/refresh requests
could both win the SELECT before either DELETE ran, defeating
single-use refresh-token rotation. Replace with a single
DELETE ... WHERE token_hash = ? AND expires_at >= ? RETURNING ...
statement so the validate-and-delete lands as one atomic op under
SQLite's write lock (3.45.1 supports RETURNING; min was 3.35).
* studio: enforce body cap on chunked uploads and drop unsafe-inline from script-src
MaxBodyMiddleware previously only inspected the declared Content-Length
header; clients omitting it or sending Transfer-Encoding: chunked
bypassed the cap and could still drive an OOM via the downstream
JSON / file readers on /v1/chat/completions, /api/inference, /api/data-recipe,
/api/datasets, /api/train, /api/export. Rewrite as a raw ASGI middleware
that drains and counts http.request frames, replies 413 once the running
total exceeds UNSLOTH_STUDIO_MAX_BODY_MB before invoking the FastAPI
handler, and replays the buffered body to downstream so route code that
calls request.json() / await request.body() works unchanged.
CSP previously included 'unsafe-inline' on script-src, which defeats the
main XSS protection. The frontend bundle does not need inline scripts;
the only inline <script> the backend ever emits is _inject_bootstrap,
which is opt-in via UNSLOTH_STUDIO_INJECT_BOOTSTRAP. Drop 'unsafe-inline'
from script-src by default; when _inject_bootstrap fires, generate a
per-response nonce, embed it on the inlined <script>, and have
SecurityHeadersMiddleware splice 'nonce-XXX' into the CSP for that one
response (the internal x-internal-script-nonce header is popped before
the response leaves the server). 'unsafe-inline' stays on style-src for
Vite-injected styles.
* studio: drop empty assistant sentinel before passthrough
ChatMessage._validate_role_shape normalises role="assistant", content=""
(the post-Stop sentinel emitted by the frontend) to content=None so the
in-process path can drop it via _extract_content_parts. The passthrough
path then ran m.model_dump(exclude_none=True), which strips the now-None
content key entirely, sending {"role":"assistant"} to llama-server / the
OpenAI-compat backend. That fails upstream and leaves the user without a
recoverable Stop->resume.
Add _drop_empty_assistant_sentinels and call it at both passthrough
message origins: _openai_messages_for_passthrough (covers
/v1/chat/completions and the Responses API which routes through it) and
the anthropic_messages_to_openai output before
_anthropic_passthrough_*. Assistant messages that carry only tool_calls
(no content) are preserved.
* studio/tests: cover audit-fix surfaces and rebase pre-existing tests
Adds and updates pytest coverage for the four bot-flagged audit fixes
landed earlier in this branch and rebases two pre-existing tests that
were broken by the relaxed-validator and /api/health auth-gate changes.
studio/backend/tests/test_middleware.py (new)
MaxBodyMiddleware: small protected, large declared, unprotected
passthrough, chunked-upload-over-cap rejection (the regression for
the original Content-Length-only gap), and chunked-under-cap replay.
SecurityHeadersMiddleware: script-src no longer carries
'unsafe-inline', style-src still does, default headers
(XFO/XCTO/Referrer-Policy/Permissions-Policy/server), and the
internal x-internal-script-nonce header is consumed by the
middleware and converted to 'nonce-XXX' in the CSP.
/api/health: no auth -> minimal, invalid Bearer -> minimal
(the await regression), valid Bearer -> full diagnostic payload.
studio/backend/tests/test_desktop_auth.py
consume_refresh_token: second-call returns None, expired returns
None, and a 64-thread concurrent pile-up against the same hash
produces exactly one successful consumer (regression for the
SELECT-then-DELETE race).
test_health_response_reports_desktop_capability_fields: rebase
against the new health_check(request) signature by going through
TestClient with a real bearer instead of asyncio.run-ing the
handler directly.
studio/backend/tests/test_openai_tool_passthrough.py
Pin the new ChatMessage tolerance: assistant without content or
tool_calls is tolerated (normalises content -> None), empty-string
and empty-list assistant content normalise to None, and a missing
/ empty tool_call_id on role='tool' is synthesised as call_<hex>
rather than raising. Tests for _drop_empty_assistant_sentinels
cover the three drop shapes (empty string, empty list, missing
content key), preservation of assistant text and tool_calls-only
messages, and end-to-end through
_openai_messages_for_passthrough.
studio/backend/main.py
SecurityHeadersMiddleware.dispatch used response.headers.pop(...)
for the nonce-header handoff; Starlette's MutableHeaders has no
pop. Read-then-del so the internal handoff header is still
stripped before the response leaves the server.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* studio/tests: rebase three more pre-existing CI tests against this branch
CI on PR #5375 was red on three tests that were tuned for behaviour
predating this branch. Updates each so the assertions match what the
audit fixes intentionally changed; no production code touched.
studio/backend/tests/test_trained_model_scan.py
test_scan_trained_models_includes_lora_and_full_finetune_outputs
passed an absolute tmp_path through scan_trained_models, which now
runs resolve_output_dir / _assert_contained against outputs_root().
Repoint outputs_root() at tmp_path via monkeypatch so the fixture
dirs land under the configured root and the realpath containment
check passes.
tests/test_studio_install_workspace_guard.py
test_health_endpoint_exposes_studio_root_id_not_raw_path read
the first 1500 bytes after @app.get("/api/health") and asserted on
the studio_root_id literal. The handler grew (unauth short-circuit
+ await dependency gate) and the literal slid past the byte window.
Replace the fixed window with a slice up to the next top-level
@app.* decorator so the test surveys the whole handler regardless
of size.
tests/studio/studio_api_smoke.py
The "login burst (5x wrong pw) -> 401 each" assertion was tagged
"When/if we add one, this assertion updates in the same PR." We
added the per-IP rate-limit in routes/auth.py
(_LOGIN_MAX_FAILS=5/60s) but missed the assertion update. Rewrite
the burst probe to observe the new invariant: at least one 401,
eventual transition to 429, and Retry-After present on the 429.
Adds a small _login_with_headers helper since the existing login()
helper drops response headers.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* ci(studio-ui): set UNSLOTH_STUDIO_INJECT_BOOTSTRAP=1 for Playwright Studios
The Chat UI Playwright test drives the first-boot change-password
form, which (per playwright_chat_ui.py step "1. Change-password
through the UI") pre-seeds the hidden current_password field from
window.__UNSLOTH_BOOTSTRAP__. That global is only emitted when the
backend's _inject_bootstrap path fires, which since the security
pass on this branch is gated behind UNSLOTH_STUDIO_INJECT_BOOTSTRAP
and defaults to off. Without the global, the React form's
current_password validator never satisfies, the submit button stays
disabled, and the composer.wait_for() probe times out on
/change-password.
Re-enable injection only for the CI Studios that drive the chat UI
across linux/mac/windows. Production deployments are unaffected: the
env var has to be explicitly opted into, and the on-disk
auth/.bootstrap_password remains the source of truth for human users
typing the password in by hand.
Covers all eight Studio launch sites: the primary chat-ui boot and
the "extra UI tests" boot for each of the three OSes, plus the
pipeTransport JSON-crash retry relaunches in the macOS workflow that
re-spawn Studio mid-job.
A follow-up frontend PR will add a visible current_password input so
the form satisfies its own validator without needing the bootstrap
auto-fill at all; once that lands this CI knob can come back out.
* studio/sandbox: drop unshare(CLONE_NEWNET); add trusted-host allowlist; block sandbox file uploads; raise CPU rlimit default to 600 s
CLONE_NEWNET inside _sandbox_preexec silently killed every outbound
HTTP request from sandboxed Python whenever the kernel allowed
unprivileged user namespaces. requests.get('https://huggingface.co'),
urllib.request.urlopen('https://en.wikipedia.org/wiki/...'),
socket.connect(('arxiv.org', 443)) all failed despite the AST visitor
intending to allow them. The bash blocklist (curl / wget / nc / ssh /
scp / sftp / rsync / socat / eval / source) plus the AST-level
metadata-host denylist still carry the network policy after this
change; CLONE_NEWNET was redundant with both.
Add _TRUSTED_PUBLIC_HOST_LITERALS + _TRUSTED_PUBLIC_HOST_SUFFIXES
(~100 informational hosts: Wikipedia language subdomains, Wikimedia,
Wikidata, Google search, Bing, DuckDuckGo, HuggingFace, GitHub,
raw.githubusercontent.com, arXiv, StackOverflow / Stack Exchange,
MDN, docs.python.org, PyTorch / TensorFlow / NumPy / pandas docs,
pypi / files.pythonhosted.org / npmjs / crates.io, ReadTheDocs,
arXiv, Britannica, BBC / Reuters / Nature / Science, NASA / CDC /
NIH / WHO open data, api.weather.gov). The visitor now blocks
literal hosts that are neither metadata nor trusted with a short
LLM-readable string so the model can retry with an allowed source
instead of choking on a multi-line error.
Block upload-shape calls regardless of host: requests.post / put /
patch / delete / request with files= or data=open(...) /
data=bytes_literal; httpx equivalents; urllib.request.urlopen /
Request with data=...; HuggingFace upload_file / upload_folder /
upload_large_folder / create_commit (module-level FQ paths AND
method-name match on any receiver). Message: "Blocked: file upload
disallowed in sandbox".
Bump UNSLOTH_STUDIO_SANDBOX_CPU_S default 300 -> 600 s so long
agentic chains that span multiple tool calls don't get SIGXCPU'd
mid-stride. Env-var override path is unchanged.
Host normalisation now strips trailing dot, userinfo @, and explicit
port before allowlist / denylist comparison so trailing-DNS-dot,
userinfo-smuggling, and explicit-:443 URLs are decided correctly.
* studio: raise default request-body cap from 100 MB to 500 MB
UNSLOTH_STUDIO_MAX_BODY_MB default goes 100 -> 500 to comfortably
cover vision + audio + multi-recipe-batch JSON payloads. The
MaxBodyMiddleware stream-counting logic from this branch's earlier
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0a54d001ec |
Harden Tauri release flow (#5341)
* Harden Tauri backend preflight and startup
Require managed Studio root IDs to match before attaching to existing backends, close the concurrent backend-start window, and tighten frontend Tauri detection to Tauri-specific signals.
* Add Tauri backend manageability guards
Gate desktop backend compatibility on explicit manageability fields, add external-conflict handling for unsafe backend states, and protect update/repair paths from mutating active non-owned Studio backends. Track Tauri-owned backends with local owner metadata for verified orphan cleanup only.
* Split Tauri preflight probes into modules
Move preflight types, version checks, managed install probing, and backend probing into focused submodules while preserving behavior and keeping implementation files under the release-readiness size target.
* Use desktop-specific Tauri updater channel
Point the desktop updater at a same-repo desktop-latest manifest and publish that channel from non-draft desktop releases after validating the Tauri-generated latest.json.
* Add Linux desktop update policy
* Add owned backend lifecycle guards
* Adopt verified desktop-owned backends
* Validate desktop backend readiness
* Trim Tauri release hardening code
* Require desktop backend 2026.5.3
* Handle desktop backend edge cases
* Fail stalled desktop backend startup
* Fix desktop update edge cases
* Avoid secret-gating adopted watchdog
* Fix desktop update comparison guards
* Automate desktop release versioning
* Serialize desktop release workflow
* tests: follow preflight.rs split into preflight/{backend,managed,types,version}.rs
PR #5341 splits studio/src-tauri/src/preflight.rs into a directory of
submodules. The cmd.env_remove("UNSLOTH_STUDIO_HOME") + STUDIO_HOME
calls now live in preflight/managed.rs instead of preflight.rs, so
test_tauri_preflight_scrubs_studio_home_env counted zero matches in
the old single-file location and failed with "assert 0 >= 2".
Read whichever shape is on disk: preflight.rs at the old path plus
every *.rs under preflight/ (current PR has 2 occurrences in
preflight/managed.rs). The guard intent is unchanged: at least 2
env_remove calls covering run_cli_probe and probe_cli_capability,
plus the single commands.rs scrub in check_install_status. Verified
locally: pytest tests/test_studio_install_workspace_guard.py::test_tauri_preflight_scrubs_studio_home_env passes.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Avoid browser Tauri hostname detection
* Restore shutdown flag after failed stop
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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7be10852cb |
install: support STUDIO_HOME / UNSLOTH_STUDIO_HOME for custom install paths (#5190)
* install: support STUDIO_HOME / UNSLOTH_STUDIO_HOME for custom install paths Currently install.sh and install.ps1 hardcode all install paths off $HOME / $env:USERPROFILE with no env-var fallback. This blocks workspace-isolated installs (CI sandboxes, per-PR test environments, multi-tenant boxes) unless the entire HOME / USERPROFILE is faked, which also relocates ~/.gitconfig, ~/.ssh, and other unrelated state. Add an opt-in env-var override that does only what is needed. Resolution priority (highest first): 1. HOME / USERPROFILE explicitly redirected vs the password-database default. Detected via getent (Linux), dscl (macOS), or [Environment]::GetFolderPath (Windows). Best-effort: when the detection mechanism is unavailable the check is skipped and we fall through to step 2. 2. UNSLOTH_STUDIO_HOME, if set. 3. STUDIO_HOME, if set (alias for convenience; the variable name already matches the internal var install.sh sets). 4. Default: legacy $HOME/.unsloth/studio (or $USERPROFILE\.unsloth\studio on Windows). Identical to today's behavior when no env var is set. When an env var override fires: * DATA_DIR is nested inside ($STUDIO_HOME/share, or $StudioHome\share on Windows) so the runtime launcher and shortcuts find studio.conf in the same place install-time wrote it. * The unsloth CLI shim lands at $STUDIO_HOME/bin/unsloth (Unix) or $StudioHome\bin\unsloth.exe (Windows). On Windows the shim already lives under $StudioHome; the change only redirects DATA_DIR and skips the persistent registry PATH update. * Persistent shell PATH modifications are skipped (no .bashrc / .zshrc / .profile append on Unix; no Add-ToUserPath on Windows). Caller is expected to invoke via absolute path or add the bin dir to PATH explicitly. Avoids polluting the user's profile with a workspace-scoped path that may be deleted. The Unix launcher script is the only piece that must read DATA_DIR at runtime (it sources studio.conf from there). The hardcoded DATA_DIR inside the LAUNCHER_EOF heredoc is replaced with an @@DATA_DIR@@ placeholder substituted via sed at install time, using the same approach the script already uses for other install-time substitutions. Default path behavior is unchanged: when no env var is set and HOME is not redirected, install.sh / install.ps1 produce exactly the same file layout as today. Test scenarios verified locally on install.sh: * Default (no env vars) -> $HOME/.unsloth/studio (legacy) * HOME=/tmp/x -> /tmp/x/.unsloth/studio * UNSLOTH_STUDIO_HOME=/tmp/y -> /tmp/y as STUDIO_HOME root * STUDIO_HOME=/tmp/z (alias) -> /tmp/z as STUDIO_HOME root * HOME redirect + env var (HOME wins) -> install follows HOME * Unwritable override -> exits with clear ERROR message * install: priority change -- env vars now win over HOME redirect Flip the resolution order so explicit env vars take precedence over HOME / USERPROFILE redirection. New priority (highest first): 1. UNSLOTH_STUDIO_HOME, if set. 2. STUDIO_HOME, if set. 3. HOME / USERPROFILE explicitly redirected. 4. Default. Rationale: the env vars are explicit single-purpose signals (the user typed UNSLOTH_STUDIO_HOME=... specifically to redirect Studio). HOME redirection is broader and incidental -- the user may have redirected HOME for unrelated reasons (workspace tools, container builds) without wanting Studio to follow it. When both are set, the more specific signal should win. When only HOME is redirected (no env var), behavior is unchanged from the previous commit: install follows $HOME. * install: address review feedback (sed escape, downstream propagation, edge cases) Fixes from gemini-code-assist + chatgpt-codex-connector + reviewer.py 20-parallel run on the open PR. install.sh: * Escape sed replacement metacharacters before substituting @@DATA_DIR@@. Two-stage escape: ' -> '\'' for safe single-quote shell embedding, then \, &, | for sed replacement string + chosen delimiter. Heredoc switched to single-quoted DATA_DIR='@@DATA_DIR@@' so we only need single-quote escaping at runtime. Verified end-to-end with paths containing & and | (the sed delimiter). * Pass UNSLOTH_STUDIO_HOME into both setup.sh invocations (--local and PyPI paths) so the downstream install resolves the same Studio root install.sh picked. * macOS .app stub: replace hardcoded exec "$HOME/.local/share/unsloth/launch-studio.sh" with exec "$_css_data_dir/launch-studio.sh" so the .app launches the resolved launcher even in env-override mode. * Use mkdir -p -- and cd -- when validating the env override so paths starting with - cannot be misread as flags. install.ps1: * Drop .Guid from [guid]::NewGuid().Guid: the property does not exist; the probe filename was always identical and not unique. Default ToString() on System.Guid produces the canonical UUID string we want. * Guard LOCALAPPDATA before Join-Path to avoid aborting the installer in service / CI contexts where LOCALAPPDATA is unset (Join-Path under $ErrorActionPreference='Stop' would otherwise throw). Computed once into $defaultDataDir; both 'profile' and 'default' branches reuse it. * Set $env:UNSLOTH_STUDIO_HOME for the duration of the 'unsloth studio setup' subprocess so studio/setup.ps1 and unsloth_cli see the same install root install.ps1 picked. Restored in a finally block. studio/setup.sh: * Honor UNSLOTH_STUDIO_HOME / STUDIO_HOME (alias) when resolving STUDIO_HOME, VENV_DIR, VENV_T5_*_DIR. Falls back to the legacy $HOME/.unsloth/studio when no override is set. studio/setup.ps1: * Same change in PowerShell: honor $env:UNSLOTH_STUDIO_HOME / $env:STUDIO_HOME for $StudioHome / $VenvDir resolution. unsloth_cli/commands/studio.py: * Replace the module-level constant STUDIO_HOME = Path.home() / ".unsloth" / "studio" with a resolver that honors UNSLOTH_STUDIO_HOME / STUDIO_HOME before falling through to the legacy default. Same precedence the installers use. Verified locally: 6 install.sh scenarios still produce correct paths (default, HOME redirect, env var, alias, both, bad override). New sed-escape unit tests pass for paths containing & and |. Python resolver matches priority: UNSLOTH_STUDIO_HOME > STUDIO_HOME > default. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * install.sh: portable sed (no -i.bak) per gemini review feedback GNU sed -i.bak vs BSD/macOS sed -i.bak vs BusyBox sed have subtly different semantics. Use the POSIX-portable redirect-then-mv pattern instead. Functionally identical, runs everywhere. * studio: persist UNSLOTH_STUDIO_HOME so fresh shells find custom installs Without this, a custom-root install (UNSLOTH_STUDIO_HOME=/work/studio bash install.sh --local) only worked in the same shell that ran the installer. Closing the terminal and reopening lost the env var, the PATH was deliberately not persisted, and the Python CLI fell back to ~/.unsloth/studio. Result: 'Studio not set up' or quietly operating on a stale legacy install. Three persistence layers, all backwards-compatible (default installs emit zero changes): 1. Unix studio.conf install.sh now writes 'export UNSLOTH_STUDIO_HOME=...' next to UNSLOTH_EXE in studio.conf when in env-override mode. The launcher sources studio.conf at startup so the exec'd binary gets the var. Default installs do not write this line; studio.conf stays byte-identical to before. 2. Windows launch-studio.ps1 install.ps1 prepends '$env:UNSLOTH_STUDIO_HOME = ...' to the generated launcher when in env-override mode. Default installs produce the same launcher content as before. 3. Python sys.prefix inference storage_roots.studio_root() and unsloth_cli/commands/studio.py now infer the install root from sys.prefix when no env var is set (Path(sys.prefix).parent for unsloth_studio venvs). Catches direct invocations of <STUDIO_HOME>/bin/unsloth that bypass the launcher entirely. unsloth_cli/commands/studio.py also re-exports the resolved UNSLOTH_STUDIO_HOME via os.environ.setdefault so child processes (setup script, backend run.py) inherit it. Backend storage roots (storage_roots.studio_root, cache_root) now respect the env var via the shared resolver. run.py PID file, transformers_version.py T5 venvs, and model_config.py vision-check venv all switch to studio_root() so custom installs are self-contained. studio/setup.ps1: T5 sidecar venvs now resolve under $StudioHome (was $env:USERPROFILE\.unsloth\studio\.venv_t5_*). studio/setup.sh + studio/setup.ps1: llama.cpp build dir nests under $STUDIO_HOME / $StudioHome when env-override is active, otherwise keeps the legacy ~/.unsloth/llama.cpp. Verified locally: * studio.conf write block: env-override mode emits the export line; default mode does not (byte-identical to today). * PowerShell heredoc interpolation: correct output for both modes. * studio_root() resolver: default, UNSLOTH_STUDIO_HOME, STUDIO_HOME alias, and sys.prefix-based inference all return correct paths. * cache_root() now derives from studio_root(). * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * install: tilde expansion + macOS .app stub safe-quoting Two fixes from running a 25-scenario simulation sweep against install.sh across path edge cases (spaces, apostrophes, ampersands, pipes, backslashes, dollar signs, Unicode, trailing slash, relative paths). 1. UNSLOTH_STUDIO_HOME=~/foo was landing as literal '~/foo' (env vars are not subject to tilde expansion). Added a POSIX-portable case block in install.sh, install.ps1, studio/setup.sh, studio/setup.ps1 that expands a leading ~ or ~/ to $HOME / $env:USERPROFILE. The prefix-removal pattern is single-quoted ('${var#'~/'}') so the shell does not tilde-expand the pattern back to $HOME/ before matching -- a subtle dash/bash gotcha. 2. macOS .app stub used an unquoted heredoc ('<< STUB_EOF'), so any $VAR / backtick / etc in the path would expand at .app launch time. Switched to single-quoted heredoc ('<< 'STUB_EOF'') with a placeholder + sed substitution + single-quoted shell embedding, matching the @@DATA_DIR@@ pattern already used for launch-studio.sh. Verified: 25/25 simulation scenarios pass on Linux dash + bash, including paths with $VAR, &, |, \\, ', spaces, and Unicode. End-to-end install in env-mode + fresh-shell launcher invocation confirmed: studio binds to /api/health from a clean env, and sys.prefix-based inference correctly returns the workspace root. * install: stop accidentally treating default installs as env-override Reviewer.py 20-runs cycle 1 found a unanimous P1 regression: a default 'unsloth studio update' relocates llama.cpp from ~/.unsloth/llama.cpp to ~/.unsloth/studio/llama.cpp, because the CLI was re-exporting UNSLOTH_STUDIO_HOME unconditionally and install.sh / install.ps1 were passing it into setup.{sh,ps1} unconditionally. The setup scripts treated the var's mere presence as "env-override mode" and relocated the llama.cpp build dir away from the legacy path, breaking the runtime backend's _find_llama_server_binary lookup on default installs. Fixes: * unsloth_cli/commands/studio.py: _resolve_studio_home now returns (path, is_custom). Re-export only when is_custom -- a real env override or a sys.prefix inference that resolves to a non-legacy path. Default installs leave UNSLOTH_STUDIO_HOME unset. * install.sh: gate UNSLOTH_STUDIO_HOME on $_STUDIO_HOME_REDIRECT == env before calling setup.sh. Use 'env $VARS bash setup.sh' so the var is set only for the subprocess, never leaked. * install.ps1: gate $env:UNSLOTH_STUDIO_HOME on $StudioRedirectMode -eq 'env' before invoking 'unsloth studio setup'. Restore prior value in finally block (unset if it wasn't set). * studio/setup.sh + setup.ps1: decide llama.cpp install root from the resolved $STUDIO_HOME (not from env-var presence). If the resolved path equals the legacy default ($HOME/.unsloth/studio), fall back to ~/.unsloth/llama.cpp. This makes setup robust against a stale UNSLOTH_STUDIO_HOME inherited from a parent process that happens to point at the legacy default. * studio/backend/core/inference/llama_cpp.py: - _find_llama_server_binary() now searches studio_root() / llama.cpp AND the legacy ~/.unsloth/llama.cpp (de-duped). Custom-root installs become discoverable; default installs unaffected. - kill_orphaned_servers ownership allowlist also includes studio_root() / llama.cpp so custom-root processes are cleanable. Verified locally: * 25/25 sim scenarios still pass (path edge cases unchanged). * setup.sh unit test: default-mode lands UNSLOTH_HOME at $HOME/.unsloth; env-mode lands at $STUDIO_HOME. * Python CLI unit test: default-mode returns is_custom=False and does NOT setdefault UNSLOTH_STUDIO_HOME; env-mode sets is_custom=True. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * install: || exit 1 on STUDIO_HOME subshell (dash set -e gap) Gemini review feedback: in dash, set -e does not trigger on subshell failures inside variable assignments. If 'cd -- "$_override" && pwd' fails, STUDIO_HOME stays empty and DATA_DIR collapses to /share. Add explicit '|| exit 1' on both install.sh:187 and setup.sh:413. * install.sh: argv-safe setup invocation for paths with spaces Cycle 2 reviewer.py 20-runs found a unanimous P1: passing the env-var through 'env $_STUDIO_ENV_FOR_SETUP' word-splits on whitespace, so a custom root like '/tmp/Unsloth Studio' becomes 'UNSLOTH_STUDIO_HOME= /tmp/Unsloth' followed by env trying to exec 'Studio'. Replaced with a tiny helper that prepends the env-var directly to the argv (no string-form intermediary), so spaces are preserved as a single argument. Default-mode invocation skips the env-var entirely. Verified: 'UNSLOTH_STUDIO_HOME=/tmp/test space/studio' now reaches setup.sh as a single value. * studio: tighten sys.prefix inference + Tauri env handling + llama.cpp env Cycle 3 reviewer.py findings (3 P1s converging): * sys.prefix inference too broad: a developer venv named 'unsloth_studio' was being treated as a custom Studio root. Narrow with an installer- sentinel check (presence of share/studio.conf or bin/unsloth shim inside the parent dir) in both unsloth_cli/commands/studio.py and studio/backend/utils/paths/storage_roots.py. * Tauri studio/src-tauri/src/process.rs::find_unsloth_binary() hardcoded ~/.unsloth/studio. Honor UNSLOTH_STUDIO_HOME / STUDIO_HOME (in that priority order) before falling back to legacy. * unsloth-zoo's GGUF export binds LLAMA_CPP_DEFAULT_DIR at import time from UNSLOTH_LLAMA_CPP_PATH. For env-override installs, persist UNSLOTH_LLAMA_CPP_PATH alongside UNSLOTH_STUDIO_HOME in studio.conf (Unix), in the generated PowerShell launcher (Windows), and via os.environ.setdefault in the Python CLI when running on a custom root, so GGUF export uses the custom-root llama.cpp build instead of the legacy ~/.unsloth/llama.cpp. Default behaviour unchanged: no env vars are written to studio.conf in default mode, no LLAMA_CPP_PATH is set, and the dev-venv inference falls through to legacy when no installer sentinels are present. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: desktop_auth env-aware + legacy-root llama.cpp consistency - desktop_auth.rs: honor UNSLOTH_STUDIO_HOME / STUDIO_HOME for the .desktop_secret path so Tauri desktop login works against custom-root installs instead of always reading ~/.unsloth/studio/auth/. - install.sh / install.ps1 / unsloth_cli/commands/studio.py: when an env override resolves to the legacy default ($HOME/.unsloth/studio), set UNSLOTH_LLAMA_CPP_PATH to ~/.unsloth/llama.cpp (matching setup.sh / setup.ps1's legacy-equality branch). Previously the persisted value pointed at $STUDIO_HOME/llama.cpp, which was a non-existent location and broke unsloth-zoo's import-time GGUF binding for that edge case. * studio: tauri studio_root helper + marker-file persistence + ~ expansion Address cycle-5 reviewer findings: - Add studio/src-tauri/src/studio_root.rs: shared resolver with UNSLOTH_STUDIO_HOME / STUDIO_HOME (priority order), tilde expansion (~, ~/..., ~\...), installer-written marker fallback, then ~/.unsloth/studio. 5 unit tests cover the expansion paths. - Tauri lookups now go through the shared resolver: - process.rs::find_unsloth_binary - desktop_auth.rs::desktop_secret_path - main.rs::setup_logging (tauri.log under custom root) - commands.rs::open_logs_dir (opens custom root dir) - install.rs work_dir uses parent of resolved root (avoids creating a stray ~/.unsloth on a custom-root install) - install.sh / install.ps1 (env-mode only): write ~/.unsloth/studio-home marker so the desktop app launched from Finder/Start Menu (no shell env inheritance) still resolves the custom root. - install.sh / install.ps1 non-interactive completion: when StudioRedirectMode=env, print the absolute custom-root shim path since the persistent rc/registry PATH update is intentionally skipped in env-override mode. - unsloth_cli/commands/studio.py: replace setdefault() with truthy-check so a blank UNSLOTH_STUDIO_HOME / UNSLOTH_LLAMA_CPP_PATH in the parent env doesn't suppress the inferred custom root. 40/40 cargo test --bins pass. * studio: validate marker file + write in --tauri mode + propagate to subprocess Cycle-6 reviewer follow-ups: - studio_root.rs marker resolver now validates the persisted path before using it. A stale ~/.unsloth/studio-home pointing at a deleted/moved workspace is ignored (resolution falls back to the legacy default rather than hijacking it). Validation accepts share/studio.conf sentinel or bin/unsloth shim. Trailing newline strip uses trim_end_matches(['\n','\r']) so paths whose content legitimately has leading/trailing spaces survive. - install.sh / install.ps1: marker write moved out of the launcher generation path so it runs before the Tauri-mode early exit. Both shell-launcher and Tauri-installed env-mode roots now persist the marker. Removed the duplicate marker write that was previously inside install.ps1's $studioHomeExport block. - studio/src-tauri/src/install.rs: pass UNSLOTH_STUDIO_HOME to the installer subprocess (when not already in scope) so app-initiated repair / update flows reach the same root the running app uses. cargo test --bins -- --test-threads=1: 44/44 pass (4 new tests for marker validation: sentinel accepted, bin shim accepted, empty dir rejected, missing path rejected). * studio: fix Tauri legacy-fallback regression + stale marker cleanup Cycle-7 reviewer follow-ups (regression I introduced in cycle 6): - studio_root.rs: add StudioRootSource enum + resolve_studio_root_with_source(). Lets callers distinguish a real custom override (Env / Marker) from the legacy fallback (Default). - studio/src-tauri/src/install.rs: only forward UNSLOTH_STUDIO_HOME to the installer subprocess when the resolution source is Env or Marker. The Default fallback must NOT be passed -- install.sh / install.ps1 treat any non-empty UNSLOTH_STUDIO_HOME as env-override mode and would relocate DATA_DIR to $STUDIO_HOME/share and _LOCAL_BIN to $STUDIO_HOME/bin (regressing default Tauri repair / update flows from the legacy ~/.local/share/unsloth and ~/.local/bin). - install.sh / install.ps1: clear stale marker on default / HOME-redirect installs. A user who first installed with UNSLOTH_STUDIO_HOME=/work/studio then later reinstalls without env vars no longer has the desktop app hijacked by ~/.unsloth/studio-home pointing at the old custom root. - install.sh / install.ps1: when env mode wins over a redirected HOME / USERPROFILE, write the marker into the OS-reported real profile home (getent / dscl on Unix; [Environment]::GetFolderPath on Windows) so a later desktop launch from the user's normal session still finds it. Falls back to the current HOME / USERPROFILE. cargo test --bins -- --test-threads=1: 45/45 pass (1 new for the source enum invariants). * install: scrub stale marker from real-home on HOME-redirect cleanup Cycle-8 reviewer follow-up: the previous cleanup branch only removed \$HOME/.unsloth/studio-home, leaving a stale marker in the real password-database home after a prior env-mode install. A later default install with redirected HOME / USERPROFILE would still see the desktop app resolving the old custom root. - install.sh: compute the real password-database home (via getent / dscl) unconditionally, and scrub markers from BOTH \$HOME and the real-home in the default / HOME-redirect cleanup branch. - install.ps1: build a profile-candidate list (current USERPROFILE + OS-reported real profile) and remove markers from EVERY candidate in the default / profile-redirect cleanup branch. bash -n + cleanup smoke verified. * revert: drop Tauri env-var support + marker file mechanism Keep this PR scoped to shell installer + Python backend env-var support. Tauri desktop integration with custom Studio roots is deferred to a separate, focused PR. Reverts to pre-PR state: - studio/src-tauri/src/process.rs (find_unsloth_binary) - studio/src-tauri/src/desktop_auth.rs (auth_secret_path) - studio/src-tauri/src/main.rs (setup_logging tauri.log path) - studio/src-tauri/src/commands.rs (open_logs_dir) - studio/src-tauri/src/install.rs (work_dir + subprocess env) - studio/src-tauri/src/studio_root.rs DELETED Removes from install.sh / install.ps1: - ~/.unsloth/studio-home marker write/read/cleanup - HOME-redirect-aware marker location logic What this PR keeps (the original scope): - install.sh / install.ps1: UNSLOTH_STUDIO_HOME / STUDIO_HOME env-var resolver with HOME-redirect detection, tilde expansion, legacy fallback. Default installs are byte-identical to pre-PR. - studio/setup.sh / studio/setup.ps1: legacy-equality llama.cpp path. - studio.conf / launcher persists UNSLOTH_STUDIO_HOME + UNSLOTH_LLAMA_CPP_PATH for fresh shells (env-mode only). - unsloth_cli/commands/studio.py: env > sys.prefix sentinel > legacy resolver, conditional re-export. - studio/backend/utils/paths/storage_roots.py: same resolver. - Backend modules use storage_roots (run.py, model_config.py, transformers_version.py, llama_cpp.py). cargo test --bins -- --test-threads=1: 34/34 pass (pre-PR baseline). bash -n install.sh: clean. * install: cycle-10 fixes (default launcher, --tauri guard, env-mode shortcuts, win PATH) - install.sh launcher: default and HOME-redirect installs keep the legacy DATA_DIR=\"\$HOME/.local/share/unsloth\" runtime form so a later shell with a different \$HOME still resolves DATA_DIR. Only env-mode bakes the resolved absolute path. Restores byte-identical default behavior. - install.sh / install.ps1: fail fast when --tauri is combined with UNSLOTH_STUDIO_HOME / STUDIO_HOME. The desktop app still resolves the legacy ~/.unsloth/studio root, so a custom-root --tauri install would yield a desktop app that cannot find its binary or auth secret. Print the right alternative. - install.sh / install.ps1: skip persistent desktop / Start-Menu shortcuts in env-override mode. Workspace-scoped installs would otherwise leave launchers pointing at a path the user may delete. Default and HOME/profile-redirect installs keep the shortcut. - install.ps1: re-prepend env-override \$ShimDir AFTER Refresh-SessionPath. Refresh rebuilds PATH as Machine > User > current \$env:Path, so a previously-installed legacy User PATH entry would otherwise win precedence over the current-session env-override shim. bash -n install.sh, pwsh parser install.ps1 + setup.ps1: clean. cargo test --bins -- --test-threads=1: 34/34 (Tauri unchanged). * install: cycle-11 fixes (env-mode launcher writes, --tauri legacy passthrough, run.py llama path) - install.sh / install.ps1: env-mode no longer skips the entire create_studio_shortcuts / New-StudioShortcuts function. Move the early-return INSIDE those functions, just before the persistent desktop / Start-Menu shortcut creation. The runtime launcher (launch-studio.sh / launch-studio.ps1), studio.conf with UNSLOTH_STUDIO_HOME / UNSLOTH_LLAMA_CPP_PATH exports, and the icon ARE always written so env-mode shims can resolve via fresh shells. - install.sh / install.ps1: --tauri guard passes through when the override resolves to the legacy default ($HOME/.unsloth/studio / %USERPROFILE%\.unsloth\studio). The desktop app already uses that path, so explicit-equality is a supported edge case (matches the llama.cpp legacy-equality branch). - studio/backend/run.py: when launched directly (bypassing the unsloth CLI), set UNSLOTH_STUDIO_HOME and UNSLOTH_LLAMA_CPP_PATH before the rest of import chain runs so unsloth-zoo's import-time LLAMA_CPP_DEFAULT_DIR binding picks up the custom-root build. Only set when STUDIO_ROOT is a real custom override; legacy default installs leave them unset. bash -n install.sh, pwsh parser install.ps1: clean. python ast parse studio/backend/run.py: clean. cargo test --bins -- --test-threads=1: 34/34 pass (Tauri unchanged). * install: cycle-12 fixes (--tauri trailing slash + main.py uvicorn env) - install.sh / install.ps1 --tauri legacy passthrough: strip trailing separators before comparing the override to the legacy default. Previously UNSLOTH_STUDIO_HOME=\"\$HOME/.unsloth/studio/\" (with trailing slash) was rejected even though it resolves to the supported legacy root. - studio/backend/main.py: when launched directly via \`uvicorn main:app\` from a custom-root venv (bypassing both unsloth_cli and run.py), export UNSLOTH_STUDIO_HOME and UNSLOTH_LLAMA_CPP_PATH before any unsloth-zoo import so its import-time LLAMA_CPP_DEFAULT_DIR binding picks up the custom-root build. Only sets when STUDIO_ROOT is a real custom override. bash -n install.sh, pwsh parser install.ps1, python ast main.py: clean. Smoke probe: UNSLOTH_STUDIO_HOME=\$HOME/.unsloth/studio/ install.sh --tauri no longer exits with the unsupported-custom-root error. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * install.ps1: skip CWD-relative venv migration in env-override mode The legacy ~/unsloth_studio venv migration path on Windows reads %USERPROFILE%\unsloth_studio\Scripts\python.exe (a fixed home-relative path). Under env-override mode this would Move-Item the user's pre-existing default-install venv into $StudioHome\unsloth_studio, breaking the default install and contaminating the workspace root. Gate the migration on $StudioRedirectMode -ne 'env' so workspace-scoped installs leave the user's default-install venv untouched. No Linux equivalent: install.sh migrates from \$STUDIO_HOME/.venv which is already env-mode-aware (points at the workspace root, not \$HOME). * install: cycle-14 fixes (Tauri env scrub + setup.ps1 missing-root error) Tauri does not honor UNSLOTH_STUDIO_HOME / STUDIO_HOME / UNSLOTH_LLAMA_CPP_PATH yet -- the desktop app's Rust paths use the legacy ~/.unsloth/studio root. If the user's shell has these env vars set, spawned Python subprocesses would diverge from the Rust paths (custom-root Python <-> legacy-root Rust). Scrub the three env vars at all Tauri subprocess spawn sites: - process.rs: backend launch - desktop_auth.rs: provision-desktop-auth subprocess - install.rs: install.sh / install.ps1 invoked from the desktop app (also prevents the --tauri guard from rejecting an inherited override). setup.ps1: when UNSLOTH_STUDIO_HOME points at a non-existent directory, 'Resolve-Path -LiteralPath' threw a confusing PSObject error under $ErrorActionPreference = "Stop". Test-Path the override first and emit a friendly "run install.ps1 to create the install root" message instead. * install: cycle-15 fixes (preserve UNSLOTH_LLAMA_CPP_PATH + add update.rs scrub) UNSLOTH_LLAMA_CPP_PATH is a pre-existing custom-llama.cpp-directory override the Python backend (studio/backend/core/inference/llama_cpp.py) and unsloth-zoo intentionally support. It is unrelated to the Studio install root. Cycle 14 over-scrubbed it from the Tauri spawn sites, regressing desktop GGUF/llama.cpp workflows for users who set it in their shell. - process.rs / desktop_auth.rs / install.rs: stop scrubbing UNSLOTH_LLAMA_CPP_PATH; only scrub UNSLOTH_STUDIO_HOME and STUDIO_HOME. - update.rs: missed Tauri spawn site -- add the same UNSLOTH_STUDIO_HOME / STUDIO_HOME scrub so 'unsloth studio update' from the desktop app updates the legacy-root install Tauri actually manages. Verified: cargo test --bins -- --test-threads=1 -> 34/34 pass. * install.sh: document apostrophe-escape derivation inline The shell quoting at install.sh:642 / 659 / 679 / 680 / 823 has been flagged as broken across multiple review cycles, but every end-to-end verification (DATA_DIR=\"a b's&c|d\$e\" -> generated launcher -> source -> recovered exact input) passes. The proposed "8 backslash" fix would double the escape and actually break what currently works. Strengthen the inline comments to spell out the derivation: - shell pattern \"s/'/'\\\\''/g\" passes \"s/'/'\\''/g\" to sed (\\\\ -> \\) - sed replacement '\\'' yields close-quote / escaped-quote / open-quote - stage 2 (\\, &, |) only needed where the value is then sed-replaced into a launcher template via s|@@DATA_DIR@@|VALUE|g studio.conf is written via printf, not sed, so it only needs stage 1. No behavior change, only inline doc to head off future false positives. * install/setup .ps1: use -LiteralPath for $StudioHome-derived paths Pre-PR, $StudioHome was hardcoded to %USERPROFILE%\.unsloth\studio -- no wildcard characters possible. The PR introduces UNSLOTH_STUDIO_HOME / STUDIO_HOME, so $StudioHome (and every path derived from it: $VenvDir, $VenvPyExe, $UnslothExe, $UnslothHome, $LlamaCppDir, $VenvT5_*, etc.) can now contain bracket characters that PowerShell would interpret as wildcards. Reproducer (from cycle 17 review 20): pwsh> Test-Path 'studio[abc]/Scripts/python.exe' False pwsh> Test-Path -LiteralPath 'studio[abc]/Scripts/python.exe' True Switch the relevant Test-Path / Remove-Item / New-Item / Move-Item calls in install.ps1 and studio/setup.ps1 to -LiteralPath. Sites where the path is fixed (the shim under %LOCALAPPDATA%\Microsoft\WindowsApps, $RepoRoot from -PSCommandPath) keep the wildcard-aware form. * install/setup .ps1: fix New-Item -LiteralPath regression from cycle 17 Cycle 17 added -LiteralPath to all $StudioHome-derived path operations, but New-Item has no -LiteralPath parameter (verified pwsh 7.6 syntax: "New-Item [-Path] <string[]> [-ItemType <string>] ..."). Every directory- creation site would throw "A parameter cannot be found that matches parameter name 'LiteralPath'" at runtime, blocking T5 sidecar setup, llama.cpp parent creation, and StudioHome creation. Likewise, "Split-Path -LiteralPath $X -Parent" cannot mix LiteralPath with -Parent (separate parameter sets). The default LiteralPath mode already returns the parent. Switch to [System.IO.Directory]::CreateDirectory($X), which natively takes a literal path, and drop the trailing -Parent on Split-Path. Verified end-to-end on a bracketed path "/tmp/...[abc]": - CreateDirectory: created - Test-Path -LiteralPath: detects - nested CreateDirectory(Split-Path -LiteralPath ...): works * install/setup .ps1: extend -LiteralPath sweep to remaining \$StudioHome paths Cycle 17/18 missed several wildcard-aware operations on user-controlled \$StudioHome-derived paths. Reviewers identified remaining sites: install.ps1: - \$UnslothExePath (Test-Path / Resolve-Path) at the shortcut creator - \$VenvDir (Get-ChildItem) at the no-torch-runtime resolver - \$ShimDir (New-Item Directory -- replaced with .NET CreateDirectory) - \$ShimExe (Test-Path / Remove-Item / re-prepend guards) -- the shim lives at \$StudioHome\\bin\\unsloth.exe in env-override mode, so it inherits bracket sensitivity from \$StudioHome. - \$UnslothExe (Copy-Item fallback) when HardLink fails. studio/setup.ps1: - \$LlamaServerBin (Test-Path) at the prebuilt-bundle / source-build validation gates (3 sites). \$LlamaServerBin lives under \$BuildDir under \$LlamaCppDir under \$UnslothHome under \$StudioHome. New-Item HardLink keeps -Path because creating a non-existent target with brackets succeeds (verified via direct pwsh smoke test). * install: cycle-20 fixes (more setup.ps1 -LiteralPath + shell-quote launch hints) setup.ps1: extend -LiteralPath sweep to remaining \$BuildDir-derived paths that the cycle-19 commit missed: - \$CmakeCacheFile (Test-Path + Select-String -Path) - \$buildTmp (10 Test-Path / Remove-Item sites in source-build cleanup) - \$QuantizeBin (Test-Path) - \$altBin (Test-Path) These all live under \$BuildDir -> \$LlamaCppDir -> \$UnslothHome -> \$StudioHome, which is now user-controlled via UNSLOTH_STUDIO_HOME. Bracket characters in the override would silently skip rebuild detection or leave stale build artifacts. install.sh: shell-quote the launch-instruction substep lines for env- override mode. UNSLOTH_STUDIO_HOME values containing spaces or apostrophes (e.g. "/tmp/O'Brien Studio") would print copy-paste- unsafe commands -- the install succeeded but the printed launch instructions split at the space. Now wraps with the canonical '\\''-style escape so the printed lines parse with bash -n. Verified end-to-end: - printed shim line: '/tmp/O'\''Brien Studio/bin/unsloth' studio ... - bash -n on the printed line passes. * install.ps1: -LiteralPath for macOS-stub-launcher \$appDir-derived paths The shortcut/launcher generator at install.ps1:418-693 writes the stub launcher, .vbs, and icon under \$appDir = \$StudioDataDir, which in env-override mode is \$StudioHome\share. Cycle 17/19/20 missed the following wildcard-aware ops on these paths: - Test-Path \$appDir (with New-Item Directory swap to .NET CreateDirectory) - Set-Content -Path \$launcherVbs (for the WSH .vbs stub) - Test-Path / Copy-Item \$bundledIcon (bundled icon copy) - Test-Path / Remove-Item \$iconPath (icon header validation) In env-override mode \$StudioHome can contain bracket characters; without -LiteralPath the .vbs write fails outright and the icon validation can either skip a present icon or fail to delete a malformed one. (The COM shortcut creation downstream returns early in env-override mode, so its path values don't need this treatment.) * install: don't override pre-existing UNSLOTH_LLAMA_CPP_PATH in launchers Cycle 14/15 established UNSLOTH_LLAMA_CPP_PATH as a pre-existing custom-llama.cpp-directory override the Python backend and unsloth-zoo intentionally support, independent of the Studio install root. The launchers (studio.conf sourced by Unix launch-studio.sh, and the PowerShell launch-studio.ps1) were unconditionally re-exporting it, which silently overrides a user's pre-existing value when they invoke the launcher from a shell where UNSLOTH_LLAMA_CPP_PATH is already set. Make the assignment conditional in both launchers: install.sh studio.conf: if [ -z "\${UNSLOTH_LLAMA_CPP_PATH:-}" ]; then export UNSLOTH_LLAMA_CPP_PATH='...' fi install.ps1 launch-studio.ps1: if (-not \$env:UNSLOTH_LLAMA_CPP_PATH) { \$env:UNSLOTH_LLAMA_CPP_PATH = '...' } UNSLOTH_STUDIO_HOME stays unconditional: the launcher is bound to a specific install, so its STUDIO_HOME must always match that install. * install.sh: harden --tauri legacy resolver against CDPATH and symlinks Reviewer cycle 23 (inst 19) noted that the bare \`cd -- ... && pwd\` form in the --tauri legacy comparison can echo a CDPATH-prefixed path when the user has CDPATH set in their environment, contaminating the resolved absolute path used in the legacy-equality check. Switch to \`CDPATH= cd -P -- ... && pwd -P\` so: - CDPATH= clears the cd-prefix-echo behavior - -P / pwd -P resolves any symlinks to a canonical path No behavior change for users without CDPATH set; correctness fix for users who have it set in their shell. * install + llama_cpp backend: cycle-24 hardening Three real findings from cycle 24 reviewers: 1. install.sh:231 + studio/setup.sh:413 -- main \$STUDIO_HOME resolvers used the same bare \`cd -- ... && pwd\` form that cycle 23 only fixed for the --tauri guard. Switch both to: \$(CDPATH= cd -P -- "\$override" && pwd -P) so relative custom-root values don't get CDPATH-prefixed or have the cd-on-CDPATH stdout newline contaminate the captured value. 2. install.sh --tauri legacy root used logical \$HOME/.unsloth/studio while the override side was canonicalized via pwd -P. A symlinked \$HOME (e.g. /home/alice -> /u/alice) made the comparison fail even when both sides pointed at the same directory. Canonicalize the legacy side too when the dir exists. 3. studio/backend/core/inference/llama_cpp.py:_find_llama_server_binary searched \$STUDIO_HOME/llama.cpp first then ~/.unsloth/llama.cpp in default-mode installs. setup.sh / setup.ps1 only install llama.cpp under \$STUDIO_HOME/llama.cpp in env-override mode; in default mode it always lives at ~/.unsloth/llama.cpp. The post-PR search would pick up a stale partial install at ~/.unsloth/studio/llama.cpp over the real legacy binary. Mirror setup's legacy-equality check: when studio_root() resolves equal to ~/.unsloth/studio, search ONLY the legacy ~/.unsloth/llama.cpp. Otherwise (env-override custom root), search custom first, legacy fallback. * install + setup: canonicalize legacy-equality comparison sites Cycle 24 made \$STUDIO_HOME canonical via 'CDPATH= cd -P -- ... && pwd -P', but the legacy-equality comparison sites still used the bare logical "\$HOME/.unsloth/studio" string. With a symlinked \$HOME (e.g. /home/alice -> /u/alice), the comparison fails even when both sides point at the same dir, and llama.cpp ends up under a custom-root path the Python backend's legacy comparison cannot find. Reviewer cycle 25 inst 2 reproduced this with HOME=/tmp/link -> /tmp/real and UNSLOTH_STUDIO_HOME=\$HOME/.unsloth/studio: setup.sh resolves UNSLOTH_HOME to /tmp/real/.unsloth/studio while the backend search resolves both physically equal and looks at /tmp/link/.unsloth/llama.cpp. Canonicalize the legacy side at all four sites: - install.sh:695 (create_studio_shortcuts llama.cpp path) - studio/setup.sh:577 (UNSLOTH_HOME selection) - install.ps1:462 (launcher UNSLOTH_LLAMA_CPP_PATH path) - studio/setup.ps1:1829 (UnslothHome selection) Apply CDPATH= cd -P -- ... && pwd -P (Unix) or Resolve-Path -LiteralPath (Windows) when the legacy dir exists. unsloth_cli/commands/studio.py already does this via Path.resolve(). * llama_cpp: gate _kill_orphaned_servers studio-root allowlist on env-override Cycle 24 fixed _find_llama_server_binary to only search \$STUDIO_HOME/llama.cpp when STUDIO_HOME is a real env override (not the legacy default), but the symmetric _kill_orphaned_servers allowlist still appended _sr() / "llama.cpp" unconditionally. In default mode _sr() resolves to ~/.unsloth/studio, so ~/.unsloth/studio/llama.cpp would be treated as a Studio-owned install root for the orphan-kill scan even though the default installer does not own that path. A llama-server process running there from a different tool or a stale partial install would be killed. Apply the same legacy-equality check used in _find_llama_server_binary and the install/setup scripts: only add _sr()/"llama.cpp" to the allowlist when STUDIO_HOME != legacy default. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup.sh + setup.ps1: canonicalize both sides of legacy-equality check Proactive audit pass found one real asymmetry the cycle-by-cycle review process had not yet flagged: - install.sh:704 / install.ps1:469 are gated on env-mode and only run when STUDIO_HOME has already been canonicalized (cycle 24). Symmetric. - studio/setup.sh:577 / studio/setup.ps1:1829 run UNCONDITIONALLY, including in default mode. In default mode STUDIO_HOME is set to the bare logical \$HOME/.unsloth/studio (setup.sh:416) or Join-Path \$env:USERPROFILE ".unsloth\\studio" (setup.ps1:1480). Cycle 25 canonicalized only the legacy side, creating an asymmetry under symlinked \$HOME / junctioned %USERPROFILE%. Result of the asymmetry: a default-mode install on a host with \$HOME=/tmp/link -> /tmp/real treats the legacy default as a custom root, putting llama.cpp at \$STUDIO_HOME/llama.cpp instead of ~/.unsloth/llama.cpp -- and the Python backend's _find_llama_server_binary (which uses .resolve() on both sides) then can't find the install. Fix: canonicalize STUDIO_HOME on the fly at the comparison site, in both setup.sh and setup.ps1. Symmetric with the now-canonicalized legacy side from cycle 25, regardless of which mode set STUDIO_HOME. The other two comparison sites (install.sh:704, install.ps1:469) are already symmetric because they only run when STUDIO_HOME comes from the env-override resolution path that already does pwd -P / Resolve-Path. unsloth_cli/commands/studio.py + studio/backend/run.py + main.py + llama_cpp.py already use .resolve() on both sides -- symmetric. * install.ps1: env-override resolution uses .NET API for literal paths Gemini code-review (review 4177641398, commit |
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35ab5da93c |
Default Studio host to 127.0.0.1 and prompt before auto-start (#5267)
Studio bound to 0.0.0.0 by default and the installer silently auto-started a server at end of install, exposing it on the network without consent and contradicting the privacy-first / local-only guarantee. - studio/backend/run.py: run_server() and argparse --host default to 127.0.0.1 - unsloth_cli/commands/studio.py: studio_default() and run() --host default to 127.0.0.1 - install.sh: drop -H 0.0.0.0 from generated launcher template; replace silent auto-start with a [Y/n] prompt; add cloud/network note to manual hint - install.ps1: drop -H 0.0.0.0 from PowerShell launcher template; replace silent auto-start with a Read-Host [Y/n] prompt; add cloud/network note - studio/setup.sh: drop -H 0.0.0.0 from launch hint; add cloud/network note - README.md: simplify launch examples to `unsloth studio -p 8888`; note -H 0.0.0.0 is available for cloud/LAN use Tests: - studio/backend/tests/test_host_defaults.py - tests/studio/test_cli_studio_defaults.py - tests/sh/test_install_host_defaults.sh |
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a5eb2e3d50 |
Add tauri (#5144)
* add unsloth studio desktop app
* Fix review findings
- studio/src-tauri/tauri.conf.json: retarget updater to staging repo
(danielhanchen/unsloth-staging-2); switch to unslothai/unsloth on upstream merge.
- studio/src-tauri/linux/postremove.sh: drop the interactive read loop and the
/home/* iteration. Package maintainer scripts must stay non-interactive and
must not touch other users' data.
- studio/frontend/src/app/auth-guards.ts: honor tauriAutoAuth() boolean. Failed
auto-auth now redirects to /login; requireGuest/requirePasswordChangeFlow
only redirect to /chat when auth succeeds. The new early-return on failed
auth is intentional so the login / change-password flows remain reachable
when desktop auth is not yet established.
- studio/frontend/src/config/env.ts: keep fetched=false on health failure so
later calls retry instead of caching the client-side platform guess.
- studio/src-tauri/src/install.rs: pick the available system package manager
(apt-get, dnf, zypper, pacman); AppImage bundles run on non-Debian distros.
- studio/frontend/src/lib/open-link.ts + markdown-text/sources callers: return
boolean from openLink so callers only preventDefault on handled URLs; relative
hrefs now navigate natively.
- studio/frontend/src/features/settings/tabs/about-tab.tsx: fetch(apiUrl(...))
so the version request targets the backend port in desktop mode. The bare
/api/health predates the Tauri webview (blame: the earlier onboarding commit,
which ran with same-origin frontend/backend); in desktop mode the webview
origin is tauri://localhost so the bare path fails.
- install.ps1: gate the install_python_stack.py hotfix on a sentinel comment
instead of a content regex; append the sentinel after applying so reruns
are unambiguous.
- unsloth_cli/commands/studio.py _write_auth_secret: use the atomic mkstemp +
os.replace path on Windows too; chmod calls are wrapped in try/except OSError.
- studio/src-tauri/src/preflight.rs probe_existing_backends: fan out the health
probes concurrently; desktop-auth status still runs sequentially per candidate.
reqwest::Client is internally Arc-wrapped so the in-loop .clone() is a
refcount bump, not a deep clone; annotated inline.
- studio/src-tauri/src/preflight.rs run_cli_probe: wait() after kill() to reap
the child, matching probe_cli_capability.
- studio/src-tauri/src/process.rs + main.rs: add stop_backend_detached and use
it from the tray quit handler so the 5s graceful-wait does not block the
Tauri main loop. RunEvent::Exit keeps the synchronous safety-net call.
- studio/backend/main.py: drop the permissive localhost CORS regex in
api-only mode; the explicit allow_origins list is sufficient.
- .github/workflows/release-desktop.yml: drop max-parallel: 1 so platform
builds run in parallel, and lift releaseBody to an env var so the three
tauri-action invocations share one source of truth.
* Fix review findings (loop 2)
- studio/backend/auth/storage.py update_password: clear_desktop_secret()
alongside clear_bootstrap_password() so rotating the admin password
also revokes any previously provisioned .desktop_secret. Without this,
an old local desktop credential keeps minting fresh admin tokens via
/api/auth/desktop-login after a password rotation.
- studio/src-tauri/src/desktop_auth.rs provision_desktop_auth: wrap
cmd.output().await in tokio::time::timeout(30s). DESKTOP_AUTH_LOCK is
held across the whole desktop_auth flow, and previously a hanging
`unsloth studio provision-desktop-auth` subprocess would pin the lock
indefinitely and freeze every subsequent desktop_auth call.
* Add review tests
* Consolidate review tests
Merge review-added tests into the existing studio/backend/tests/test_desktop_auth.py
(the PR's authoritative desktop-auth test file). Drops three scaffolding files under
tests/python/ in favor of five focused tests next to the tests they extend:
- test_update_password_clears_desktop_secret (runtime)
- test_update_password_on_unknown_user_leaves_desktop_secret_intact (runtime)
- test_cli_provisioning_delegates_to_storage_create_desktop_secret (source-level)
- test_cli_connect_auth_db_reads_storage_db_path (source-level)
- test_desktop_auth_provision_has_bounded_timeout (Rust source-level)
* Revert auth-guards.ts Tauri branches to unconditional form
The review loop on PR 5144 introduced a regression: the isTauri branch of
requireAuth redirected to /login when tauriAutoAuth() returned false, and
requireGuest / requirePasswordChangeFlow silently fell through on the same
condition. The Tauri desktop app authenticates via a local auto-generated
secret; it must never surface /login or /change-password to the user. A
failed auto-auth should let the startup layer retry, not expose a password
form.
Restore the three Tauri branches to the author's original unconditional
form (requireAuth: return; requireGuest / requirePasswordChangeFlow: throw
redirect({to: '/chat'})). Keep the rest of the review fixes -- the
apiUrl() fetch wrapping, authRedirect helper, and fetchAuthStatus refactor
are all legitimate improvements and are preserved.
* Revert release-desktop.yml to author's version
The review loop's workflow-file tweaks (drop max-parallel: 1, lift releaseBody
to an env var) are cosmetic. OAuth tokens cannot push workflow-file changes,
and fine-grained PATs cannot honor maintainerCanModify on a third-party fork.
Reverting the workflow file to wasimysaid's version lets the push go through
without needing a classic PAT with both repo and workflow scopes.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: Lee Jackson <130007945+Imagineer99@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Daniel Han <unslothai@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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9a261aec5f |
Studio: Expose openai and anthropic compatible external API end points (#4956)
* Studio: add API key authentication for programmatic access External users want to hit the Studio API (chat completions with tool calling, training, export, etc.) without going through the browser login flow. This adds sk-unsloth- prefixed API keys that work as a drop-in replacement for JWTs in the Authorization: Bearer header. Backend: - New api_keys table in SQLite (storage.py) - create/list/revoke/validate functions with SHA-256 hashed storage - API key detection in _get_current_subject before the JWT path - POST/GET/DELETE /api/auth/api-keys endpoints on the auth router Frontend: - /api-keys page with create form, one-time key reveal, keys table - API Keys link in desktop and mobile navbar - Route registered with requireAuth guard Zero changes to any existing route handler -- every endpoint that uses Depends(get_current_subject) automatically works with API keys. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Use actual origin in API key usage examples The examples on /api-keys were hardcoded to localhost:8888 which is wrong for remote users. Use window.location.origin so the examples show the correct URL regardless of where the user is connecting from. * Add `unsloth studio run` CLI command for one-liner model serving Adds a `run` subcommand that starts Studio, loads a model, creates an API key, and prints a ready-to-use curl command -- similar to `ollama run` or `vllm serve`. Usage: unsloth studio run -m unsloth/Qwen3-1.7B-GGUF --gguf-variant UD-Q4_K_XL * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add end-to-end tests for `unsloth studio run` and API key usage Tests the 4 usage examples from the API Keys page: 1. curl basic (non-streaming) chat completions 2. curl streaming (SSE) chat completions 3. OpenAI Python SDK streaming completions 4. curl with tools (web_search + python) Also tests --help output, invalid key rejection, and no-key rejection. All 7 tests pass against Qwen3-1.7B-GGUF. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add /v1/completions, /v1/embeddings, /v1/responses endpoints and --parallel support - llama_cpp.py: accept n_parallel param, pass to llama-server --parallel - run.py: plumb llama_parallel_slots through to app.state - inference.py: add /completions and /embeddings as transparent proxies to llama-server, add /responses as application-level endpoint that converts to ChatCompletionRequest; thread n_parallel through load_model - studio.py: set llama_parallel_slots=4 for `unsloth studio run` path * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Make /v1/responses endpoint match OpenAI Responses API format The existing /v1/responses shim returned Chat Completions format, which broke OpenAI SDK clients using openai.responses.create(). This commit replaces the endpoint with a proper implementation that: - Returns `output` array with `output_text` content parts instead of `choices` with `message` - Uses `input_tokens`/`output_tokens` instead of `prompt_tokens`/ `completion_tokens` in usage - Sets `object: "response"` and `id: "resp_..."` - Emits named SSE events for streaming (response.created, response.output_text.delta, response.completed, etc.) - Accepts all OpenAI Responses API fields (tools, store, metadata, previous_response_id) without erroring -- silently ignored - Maps `developer` role to `system` and `input_text`/`input_image` content parts to the internal Chat format Adds Pydantic schemas for request/response models and 23 unit tests covering schema validation, input normalisation, and response format. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Studio: add Anthropic-compatible /v1/messages endpoint (#4981) * Add Anthropic-compatible /v1/messages endpoint with tool support Translate Anthropic Messages API format to/from internal OpenAI format and reuse the existing server-side agentic tool loop. Supports streaming SSE (message_start, content_block_delta, etc.) and non-streaming JSON. Includes offline unit tests and e2e tests in test_studio_run.py. * Add enable_tools, enabled_tools, session_id to /v1/messages endpoint Support the same shorthand as /v1/chat/completions: enable_tools=true with an optional enabled_tools list uses built-in server tools without requiring full Anthropic tool definitions. session_id is passed through for sandbox isolation. max_tokens is now optional. * Strip leaked tool-call XML from Anthropic endpoint content Apply _TOOL_XML_RE to content events in both streaming and non-streaming tool paths, matching the OpenAI endpoint behavior. * Emit custom tool_result SSE event in Anthropic stream Adds a non-standard tool_result event between the tool_use block close and the next text block, so clients can see server-side tool execution results. Anthropic SDKs ignore unknown event types. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Split /v1/messages into server-side and client-side tool paths enable_tools=true runs the existing server-side agentic loop with built-in tools (web_search/python/terminal). A bare tools=[...] field now triggers a client-side pass-through: client-provided tools are forwarded to llama-server and any tool_use output is returned to the caller with stop_reason=tool_use for client execution. This fixes Claude Code (and any Anthropic SDK client) which sends tools=[...] expecting client-side execution but was previously routed through execute_tool() and failing with 'Unknown tool'. Adds AnthropicPassthroughEmitter to convert llama-server OpenAI SSE chunks into Anthropic SSE events, plus unit tests covering text blocks, tool_use blocks, mixed, stop reasons, and usage. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix httpcore GeneratorExit in /v1/messages passthrough stream Explicitly aclose aiter_lines() before the surrounding async with blocks unwind, mirroring the prior fix in external_provider.py ( |
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8e977445d4 |
Let recipes use the model loaded in Chat (#4840)
* feat: inject local model provider into recipe jobs via JWT * feat: auto-generate JWT for local model providers in recipes * feat: add is_local flag to model provider config types and utils * fix(studio): skip endpoint validation for local providers * feat(studio): add local/external model source toggle to provider dialog * feat(studio): thread localProviderNames through model config dialog chain * feat(studio): show 'Local model (Chat)' label for local model_provider configs * fix: hardcode loopback for local endpoint, clear stale creds on toggle * fix: document TOCTOU/JWT rotation, add deferred import comments, fix is_local serialization * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix(studio): clear stale local model state on provider toggle and validation * fix(studio): override empty local endpoint in validation and skip model gate for unused providers * fix(studio): resolve loopback port from app.state, clear stale local provider fields, sync model id on toggle Address review feedback on the local-model-provider flow: - Backend (jobs.py): _resolve_local_v1_endpoint now reads the actual bound port from app.state.server_port (set in run.py after binding) instead of parsing it out of request.base_url, which is wrong behind any reverse proxy or non-default port. The two duplicated urlparse blocks are gone. - Backend (jobs.py): defensively pop api_key_env, extra_headers, extra_body from local providers so a previously external provider that flipped to local cannot leak invalid JSON or rogue auth headers into the local /v1 call. Also dedupe the post-loop assignment and tighten the local-name intersection so empty names cannot match. - Backend (jobs.py): hoist datetime and urllib.parse imports to the top import block for consistency with the rest of the file. - Backend (run.py): expose the bound port on app.state.server_port after the uvicorn server is constructed. - Frontend (model-provider-dialog.tsx): clear extra_headers and extra_body when toggling to local mode. Hidden inputs would otherwise keep stale JSON blocking validate/run. - Frontend (model-config-dialog.tsx): factor the local-aware provider selection logic into applyProviderChange and call it from both onValueChange and onBlur, so manually typing a provider name and tabbing away keeps the model field consistent. - Frontend (recipe-studio.ts store): handle both directions of the is_local toggle in the cascade. external -> local now backfills model: "local" on already-linked model_configs so they pass validation immediately, mirroring the existing local -> external clear path. - Frontend (validate.ts + build-payload.ts): thread localProviderNames into validateModelConfigProviders and skip the "model is required" check for local-linked configs. Local providers do not need a real model id since the inference endpoint uses the loaded Chat model. * fix(studio): narrow store cascade types, sync model placeholder on graph relink and node removal, harden ephemeral port path Loop 2 review fixes: - recipe-studio.ts: type-narrow next.is_local by also checking next.kind === "model_provider". TS otherwise raised TS2339 because next was typed as the union NodeConfig after the spread. The behavior is unchanged but the code now compiles cleanly. - model-config-dialog.tsx: convert the lastProviderRef / providerInputRef ref-during-render pattern (pre-existing react-hooks/refs lint error) to a useEffect that syncs providerInputRef from config.provider. The combobox blur path still uses applyProviderChange and remains stable. - recipe-graph-connection.ts: when a graph drag links a model_provider to a model_config, mirror the dialog applyProviderChange behavior: fill model: "local" if the new provider is local and the model field is blank, clear model when relinking from a local placeholder to an external provider, otherwise leave the model alone. - reference-sync.ts: when a referenced provider node is removed, clear the synthetic model: "local" placeholder along with the provider field, so a future relink to an external provider does not pass validation with a stale value that fails at runtime. - run.py: only publish app.state.server_port when the bound port is a real positive integer; for ephemeral binds (port==0) leave it unset and let request handlers fall back to request.base_url. - jobs.py: _resolve_local_v1_endpoint also falls back when app.state.server_port is non-positive, and uses `is None` instead of the truthy fallback so a literal 0 is handled correctly. * fix(studio): strict is_local check, narrow loaded-model gate to LLM-reachable configs, add scope-server port fallback Loop 3 review fixes: - jobs.py, validate.py: require `is_local is True` instead of truthy check. Malformed payloads such as is_local: "false" or is_local: 1 would otherwise be treated as local and silently rewritten to the loopback endpoint. - jobs.py: _resolve_local_v1_endpoint now tries request.scope["server"] (the actual uvicorn-assigned (host, port) tuple) as a second resolution step before falling back to parsing request.base_url. This covers direct-uvicorn startup paths and ephemeral binds that never publish app.state.server_port. - jobs.py: new _used_llm_model_aliases helper collects the set of model_aliases that an LLM column actually references, and the "Chat model loaded" gate is now only triggered when a local provider is reachable from that set. Orphan model_config nodes on the canvas no longer block unrelated recipe runs. * fix(studio): force skip_health_check on local-linked configs, skip JSON parsing for local providers, local-aware inline editor Loop 4 review fixes: - jobs.py: after rewriting local providers, also force skip_health_check: true on any model_config linked to a local provider. The /v1/models endpoint only advertises the real loaded model id, so data_designer's default model-availability health check would otherwise fail against the placeholder "local" id before the first chat completion call. The inference route already ignores the model id in chat completions, so skipping the check is safe. - builders-model.ts: buildModelProvider now short-circuits for local providers and emits only { name, endpoint: "", provider_type, is_local } without running parseJsonObject on the hidden extra_headers/extra_body inputs. Imported or hydrated recipes with stale invalid JSON in those fields no longer block client-side validate/run. - inline-model.tsx: the model_config branch now accepts an optional localProviderNames prop and mirrors the dialog applyProviderChange behavior. Changing provider to/from a local one auto-fills or clears the "local" placeholder consistently with the other edit paths. - recipe-graph-node.tsx: derive localProviderNames from the store via useMemo (stable identity) and pass it through renderNodeBody to <InlineModel>. Hooks order is preserved by declaring them above the early return for markdown_note nodes. - run.py: minor comment tweak - loop 3 already added the scope-server fallback path, note that in the comment. --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: danielhanchen <info@unsloth.ai> |
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6d83ad9a28 |
fix(studio): avoid UnicodeEncodeError on Windows cp1252 consoles (#4699)
* fix(studio): replace unicode emoji in print() to avoid cp1252 crash on Windows On Windows the default console encoding is cp1252 which cannot encode unicode emoji like U+2705 or U+26A0. bare print() calls with these characters cause a UnicodeEncodeError at runtime. - run.py: replace emoji with ASCII status prefixes [OK] and [WARNING] - format_conversion.py: remove duplicate print() that mirrors the logger.info() call on the next line, and drop the emoji from the log message since loggers handle encoding separately * fix(studio): apply same emoji/print cleanup to parallel VLM conversion path The parallel URL-based conversion logic has the same duplicate print() with emoji that was fixed in the sequential path. Remove the bare print() and drop the emoji from the logger.info() call. * Treat install_python_stack.py failure as fatal in setup.ps1 On Linux/Mac, setup.sh runs under set -euo pipefail so a non-zero exit from install_python_stack.py aborts the installer. On Windows, setup.ps1 had no exit code check -- if the Python script crashed (eg from the cp1252 UnicodeEncodeError), the installer silently continued past the dependency loop and reported success. Studio would then fail at launch with ModuleNotFoundError for structlog, fastapi, and other deps that were never installed. Capture $LASTEXITCODE and exit 1 if the dependency installer fails, matching the error handling pattern already used for PyTorch install. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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887b8cb1c2 |
fix: add auth + UX improvements to shutdown button (#4642)
* Studio shutdown button * fix: add auth to shutdown endpoint and improve UX - Add JWT auth (Depends(get_current_subject)) to POST /api/shutdown - Use authFetch instead of bare fetch in shutdown dialog - Only show beforeunload prompt when training is running - Remove Ctrl+W/Cmd+W interception (browsers don't allow it) - Store shutdown task on app.state to prevent GC --------- Co-authored-by: Datta Nimmaturi <venkatadattasainimmaturi@gmail.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com> |
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0233fe7f9c |
studio: setup log styling (#4494)
* refactor(studio): unify setup terminal output style and add verbose setup mode * studio(windows): align setup.ps1 banner/steps with setup.sh (ANSI, verbose) * studio(setup): revert nvcc path reordering to match main * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio(setup): restore fail-fast llama.cpp setup flow * studio(banner): use IPv6 loopback URL when binding :: or ::1 * Fix IPv6 URL bracketing, try_quiet stderr, _step label clamp - Bracket IPv6 display_host in external_url to produce clickable URLs - Redirect try_quiet failure log to stderr instead of stdout - Clamp _step label to column width to prevent negative padding * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add sandbox integration tests for PR #4494 UX fixes Simulation harness (tests/simulate_pr4494.py) creates an isolated uv venv, copies the real source files into it, and runs subprocess tests for all three fixes with visual before/after demos and edge cases. Standalone bash test (tests/test_try_quiet.sh) validates try_quiet stderr redirect across 8 scenarios including broken-version contrast. 39 integration tests total (14 IPv6 + 15 try_quiet + 10 _step), all existing 75 unit tests still pass. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Truncate step() labels in setup.sh to match PS1 and Python The %-15s printf format pads short labels but does not truncate long ones. Change to %-15.15s so labels wider than 15 chars are clipped, matching the PowerShell .Substring(0,15) and Python label[:15] logic. * Remove sandbox integration tests from PR These test files are not part of the styling fix and should not ship with this PR. * Show error output on failure instead of suppressing it - install_python_stack.py: restore _red for patch_package_file warnings (was downgraded to _dim) - setup.ps1: capture winget output and show on failure for CUDA, Node, Python, and OpenSSL installs (was piped to Out-Null) - setup.ps1: always show git pull failure warning, not just in verbose mode * Show winget error output for Git and CMake installs on failure Same capture-and-print-on-failure pattern already used for Node, Python, CUDA, and OpenSSL winget installs. * fix: preserve stderr for _run_quiet error messages in setup.sh The step() helper writes to stdout, but _run_quiet's error header was originally sent to stderr (>&2). Without the redirect, callers that separate stdout/stderr would miss the failure headline while still seeing the log body on stderr. Add >&2 to both step calls inside _run_quiet to match main's behavior. * feat: add --verbose flag to setup and update commands Wire UNSLOTH_VERBOSE=1 through _run_setup_script() so that 'unsloth studio update --verbose' (and the deprecated 'setup') passes the flag to setup.sh / setup.ps1 / install_python_stack.py. --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com> |
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6d6008a1ef |
Add PID file tracking and unsloth studio stop command (#4598)
* Add PID file tracking and `unsloth studio stop` command On macOS the .app shortcut launches Studio via osascript into a Terminal window, then the launcher script exits. The server process runs outside of the launcher's context with no PID file, so there is no straightforward way to find or stop it. This adds: - PID file at ~/.unsloth/studio/studio.pid, written after the server starts and removed on graceful shutdown or via atexit - `unsloth studio stop` command that reads the PID file and sends SIGTERM (or taskkill on Windows) to shut down the server The PID file is only removed if it still contains the current process ID, avoiding races when a new server instance replaces a crashed one. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Move atexit PID cleanup into run_server() The atexit registration was only in the __main__ block, so it did not cover the `unsloth studio` CLI path that calls run_server() directly via studio_default(). Moving it into run_server() ensures the PID file is cleaned up on unexpected exit regardless of entry point. * [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> |
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5916bcb2e3 |
Fix Studio port conflict detection for loopback addresses (#4532)
* Fix port conflict detection when loopback address is held by another process * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Use getaddrinfo for IPv6 host support, restore emojis in terminal output * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Guard against conn.pid being None in _get_pid_on_port psutil.net_connections() can return entries with pid=None when the current user lacks privileges to see the owning process (common on macOS without root, Windows without admin, and some Linux configs). psutil.Process(None) does not raise -- it silently returns the current process, which would make the warning incorrectly blame Unsloth Studio itself for blocking the port. Skip entries with pid=None so the caller falls back to the generic "port is already in use" message instead. * Update studio/backend/run.py Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * [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> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> |
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797ddd201e |
Fix Studio silently exiting on Windows without error output (#4527)
* Fix Studio silently exiting on Windows without error output On Windows, `unsloth studio` launches a child process via subprocess.Popen to run the server in the studio venv. If the child crashes (e.g. due to a missing package), the parent just calls typer.Exit(rc) with no message -- the user sees "Launching Unsloth Studio... Please wait..." and then the prompt returns with zero feedback. Root cause: `data_designer_unstructured_seed` is imported at the top level in seed.py. If this package is not installed in the studio venv, the entire import chain (seed.py -> routes/__init__.py -> main.py -> run_server()) crashes with ModuleNotFoundError. Since run.py has no try/except around run_server() and studio.py does not report nonzero exit codes, the failure is completely silent. Changes: - run.py: wrap run_server() in try/except, print clear error with traceback to stderr. Also reconfigure stderr encoding on Windows so tracebacks with non-ASCII paths do not cause secondary failures. - studio.py: print an error message when the child process exits with a nonzero code on Windows, so the user knows something went wrong. - seed.py: make data_designer_unstructured_seed import optional with a try/except fallback. The server starts normally and only returns HTTP 500 if the unstructured seed endpoints are actually called. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Skip Anaconda/Miniconda Python when creating Studio venv on Windows Conda-bundled CPython ships modified DLL search paths that prevent torch from loading c10.dll on Windows. The Studio server fails silently at startup because the venv was created with conda's Python. Standalone CPython (python.org, winget, uv) does not have this issue. Both install.ps1 and setup.ps1 now skip any Python binary whose path contains conda, miniconda, anaconda, miniforge, or mambaforge when selecting the interpreter for the studio venv. If only conda Python is available, the scripts print an error with instructions to install standalone CPython. * Fix multi-file preview crash and improve setup.ps1 Python discovery Addresses review findings [10/10] and [8/10]: 1. seed.py: _read_preview_rows_from_multi_files() had a hard import of build_multi_file_preview_rows inside the function body, bypassing the optional-plugin guard. Moved it into the top-level try/except block and added a None guard matching the other functions. 2. setup.ps1: Python discovery now probes py.exe (Python Launcher) first, uses Get-Command -All to look past conda entries that shadow standalone CPython further down PATH, skips WindowsApps stubs, and resolves the actual executable path so venv creation does not re-resolve back to a conda interpreter. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Check sys.base_prefix to catch venvs created from conda Python A venv created from conda Python (e.g. C:\Users\danie\.venv) has a path that does not contain "conda", but sys.base_prefix still points to the conda install (e.g. C:\Users\danie\miniconda3). The previous path-only check missed this case entirely. Both install.ps1 and setup.ps1 now use a Test-IsConda helper that checks both the executable path AND sys.base_prefix against the conda/miniconda/anaconda/miniforge/mambaforge pattern. This catches: - Direct conda Python executables - Venvs created from conda Python (base_prefix reveals the origin) * Fix install.ps1 passing version string to uv venv instead of resolved path Find-CompatiblePython returned a bare version string (e.g. "3.13") which was passed to `uv venv --python 3.13`. uv performs its own interpreter discovery and can resolve that version string back to a conda Python, defeating the entire conda-skip logic. Now Find-CompatiblePython returns a hashtable with both .Version (for display) and .Path (the resolved absolute executable path). The venv is created with `uv venv --python <absolute-path>`, ensuring uv uses the exact interpreter we validated. * Quote resolved Python path in uv venv call for paths with spaces --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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100b8857f2 |
Fix Studio crash on Anaconda/conda-forge Python (#4484)
* Fix Studio crash on Anaconda Python due to platform._sys_version() parse failure
Anaconda and conda-forge modify sys.version to include distributor
metadata between pipe characters, e.g.:
3.12.4 | packaged by Anaconda, Inc. | (main, ...) [MSC v.1929 ...]
Python's platform._sys_version() has a hardcoded regex that cannot
parse this format, raising ValueError. CPython closed this as "not
planned" (cpython#102396) since Anaconda modified the binary.
This breaks the import chain: run.py -> structlog -> rich -> attrs,
which calls platform.python_implementation() at module scope.
Fix: before any library imports, strip the pipe segments, parse the
cleaned version string via the standard parser, and cache the result
under the original sys.version key so all subsequent platform calls
hit the cache.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Add defensive fallback for unpaired pipe edge cases in version patch
Address Gemini review suggestion: if the paired-pipe regex leaves
residual pipes (hypothetical single-pipe distributor metadata), fall
back to extracting the version number and the parenthesized build
info directly. Wrap the entire patch in try/except so unexpected
version string formats degrade gracefully instead of crashing the
patch itself.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Refactor into shared _platform_compat module, cover colab.py entrypoint
Address reviewer feedback:
1. Extract the Anaconda/conda-forge sys.version fix into a shared
_platform_compat.py module that wraps platform._sys_version() with
a retry-on-ValueError fallback. This is more robust than cache-seeding
because it handles all future platform._sys_version() calls, not just
the first one.
2. Import the fix from both run.py and colab.py entrypoints, so Studio
no longer crashes on Anaconda Python regardless of the launch path.
3. The wrapper is idempotent (guarded by a flag) and handles edge cases:
paired pipes (Anaconda, conda-forge), unpaired pipes (hypothetical),
and standard CPython strings (no-op since ValueError is never raised).
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Replace monkey-patch with cache-prime, fix colab.py duplicate sys.path, cover main.py
- Rewrite _platform_compat.py: replace function-wrapping monkey-patch with
one-shot cache seed (_seed_sys_version_cache). Parses cleaned sys.version
once and seeds platform._sys_version_cache so the stdlib parser never sees
the problematic Anaconda/conda-forge pipe-delimited string. No function
replacement, no idempotency flag, no reload edge cases.
- colab.py: remove duplicate backend_path sys.path insertion after
_bootstrap_studio_venv(). The early insertion (before _platform_compat
import) already covers it. This also fixes backend/ ending up behind
venv site-packages in sys.path ordering.
- run.py: move PYTHONWARNINGS=ignore before _platform_compat import to
preserve original intent of suppressing warnings early.
- main.py: add sys.path + _platform_compat import before route imports,
covering the direct `uvicorn main:app` launch path.
- Add test_platform_compat.py with 7 tests covering Anaconda, conda-forge,
and standard CPython version strings, plus the loggers import chain.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Remove test_platform_compat.py from PR
* Handle Format B conda-forge version strings with duplicate paren groups
Some conda-forge builds produce sys.version with the build info both
before and after the pipe label (e.g. "3.9.7 (default, ...) | packaged
by conda-forge | (default, ...) \n[GCC 7.5.0]"). After stripping the
pipe segment, two consecutive (...) groups remain, which still fails
platform._sys_version(). Add a second regex pass to drop the duplicate
paren group.
* Guard _sys_version call with try/except to avoid making things worse
If the cleaned version string is still unparseable by the stdlib regex
(e.g. nested parens, exotic multi-pipe formats), silently give up
instead of letting ValueError propagate at import time -- which would
be a worse crash than the original deferred one.
---------
Co-authored-by: Daniel Han <danielhanchen@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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981f477e31 |
fix: reconfigure stdout to UTF-8 on Windows to prevent UnicodeEncodeError on startup (#4493)
* fix: reconfigure stdout UTF-8 on Windows to prevent UnicodeEncodeError from emoji * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix: default frontend_path when None to fix blank page when venv is pre-activated * Restore Windows UTF-8 stdout fix dropped in earlier commit The cp1252 console encoding on Windows cannot render emoji characters used in startup messages (e.g. print("✅ Frontend loaded ...")). This causes UnicodeEncodeError and crashes the server before it starts. Place sys.stdout.reconfigure(encoding="utf-8", errors="replace") at the top of run_server(), unconditionally before any print() or structlog call, so all emoji output is covered -- including the frontend status messages and silent=True paths that the original placement missed. Guarded by sys.platform == "win32" and hasattr check, so it is a no-op on Linux/macOS and safe in non-standard stdout environments (Jupyter, piped IO). * fix: preserve run_server(None) as headless, fix CLI frontend kwarg Remove the frontend_path=None fallback in run_server() that changed None from "headless/API-only" to "mount bundled frontend", breaking backwards compatibility for embedders. The blank-page bug was actually caused by the CLI wrappers always passing frontend_path=frontend (even when frontend=None), which overrode run_server()'s default. Fix studio.py and ui.py to only pass frontend_path when the user explicitly sets --frontend. * fix: use timeout loop for shutdown event in ui command Match studio_default()'s shutdown loop that uses a 1-second timeout on Event.wait(). Without a timeout, the bare wait() blocks at the C level on Linux, preventing Python from delivering SIGINT (Ctrl+C). --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com> |
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6f129a214b |
Fix Install commands for Windows + 1 line installs (#4447)
* One liner setup for unsloth studio * Fix install scripts: system deps, activation bugs, curl/wget support - install.sh: detect platform (macOS/Linux/WSL) and check for missing system dependencies (cmake, git, build-essential, libcurl4-openssl-dev). Prompt user once for permission to install all missing packages via brew (macOS) or sudo apt-get (Linux/WSL). Add wget fallback via download() helper since curl is not always present on minimal Linux installs. Fix nested curl|sh stdin stealing by downloading uv installer to a tempfile first. Replace venv activation (no-op in a pipe subshell) with explicit --python flag for uv pip install and direct venv binary invocation. Add idempotency guard for venv creation. Redirect stdin on unsloth studio setup to prevent pipe consumption. On macOS, check for Xcode Command Line Tools and trigger install if missing. - install.ps1: wrap script body in Install-UnslothStudio function so that errors use return instead of exit (exit kills the terminal when run via irm|iex). Remove activate.ps1 invocation entirely -- use explicit --python path for uv pip install and & $UnslothExe for studio setup. This avoids both the child-scope activation bug (& vs dot-source) and the execution policy error on default Windows systems. Add winget availability check with clear error message. Fix PATH refresh to append registry paths instead of replacing the session PATH. Add uv installer fallback via astral.sh PowerShell script if winget install does not put uv on PATH. Broaden Python version check to accept 3.11-3.13. Add idempotency guard for venv creation. - README.md: add wget one-liner alternative for systems without curl. * Fix Tailwind CSS v4 .gitignore bug on Windows (#4444) - Add .gitignore hiding workaround to setup.ps1 (matching existing setup.sh logic) so venv .gitignore files containing "*" don't prevent Tailwind's oxide scanner from finding .tsx source files - Add CSS size validation to setup.sh, setup.ps1, and build.sh to catch truncated Tailwind builds early - Remove stray force-rebuild overrides that made the "skip build if current" cache check dead code in both setup scripts - Add rm -rf dist to build.sh to force clean rebuilds for wheel packaging * Change default port 8000 to 8888, fix installer bugs, improve UX - Change default Studio port from 8000 to 8888 across all entry points (run.py, studio.py, ui.py, colab.py, vite.config.ts, setup scripts) - Update launch banner: "Launching with studio venv..." to "Launching Unsloth Studio... Please wait..." - Add "Open your web browser" banner and rename labels (Local -> Local Access, External -> Worldwide Web Address) - Fix venv idempotency: check for bin/python instead of just directory existence, clean up partial venvs on retry - Fix build.sh CSS validation: handle empty CSS case that silently bypassed the check with "integer expression expected" - Fix install.sh sudo handling: try apt-get without sudo first (works when root), then escalate with per-package tracking and user prompt - Fix install.ps1: check exit code from studio setup, fail on error - Add pciutils to WSL GGUF build dependencies - Apply same smart apt-get escalation pattern to studio/setup.sh * Use detected Python version for venv, abort on non-apt Linux - install.ps1: detect existing Python 3.11/3.12/3.13 and use that version for venv creation instead of always forcing 3.13 - install.sh: exit with error on non-apt Linux distros when required packages cannot be auto-installed, instead of silently continuing * Make sudo permission prompt more prominent with warning banner * Add Accept [Y/n] sudo prompt to studio/setup.sh for consistency * Fix native command exit code handling and sudo decline flow install.ps1: Add $LASTEXITCODE checks after winget (Python), uv venv, and uv pip install calls. $ErrorActionPreference only catches PowerShell cmdlet errors, not native executable failures. The Python check also handles winget returning non-zero for "already installed". setup.sh: Skip llama-server build when user declines sudo or sudo is unavailable. Previously the script continued to section 8 which would fail with confusing errors (e.g. "gcc: command not found") since build-essential was never installed. * Move rm -rf llama.cpp inside build branch to preserve existing install When _SKIP_GGUF_BUILD is set (user declined sudo or sudo unavailable), the previous rm -rf would destroy an already-working llama-server before the skip check ran. Move it inside the else branch so existing builds are preserved when the rebuild is skipped. --------- Co-authored-by: Daniel Han <danielhanchen@users.noreply.github.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com> |
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0acd1c7eec |
studio: improve onboarding UX, tooltips, and training defaults (#4355)
* studio: improve onboarding UX, tooltips, and training defaults - Change splash text to "Train and run LLMs locally" - Add "Chat Only" card with BubbleChatIcon to skip directly to chat - Add Skip/Skip to Chat buttons in sidebar and footer - Back button on step 1 returns to splash screen instead of being disabled - Change "Watch video guide" to "Get started with our guide" with new URL - Update intro text to mention all model types + chat - Make all tooltips clickable (in addition to hover) via React context - Strip surrounding quotes from pasted HF tokens - Rename "Eval Split" to "Evaluation Split" - Add SparklesIcon to "Auto Detect" format option - Change step 4 heading to "Choose your training parameters" - Default max_steps to 60 - Learning rate displayed in scientific notation with +/- stepper - Context length options capped by model's max_position_embeddings (via AutoConfig) - Fix "QLORA"/"LORA" to "QLoRA"/"LoRA" in summary step - Backend: add max_position_embeddings to model config endpoint * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * compare for 2 diff models * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * resolving gemini comments * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: disable thinking for Qwen3.5 <9B and always for AI Assist - Change Qwen3.5 thinking threshold from <=2B to <9B (0.8B, 2B, 4B all disable thinking by default; 9B+ enables it) - Always pass enable_thinking=False in AI Assist helper calls (_run_with_helper and _generate_with_backend) regardless of chat thinking settings * studio: address PR review comments - Extract _get_max_position_embeddings helper to DRY config extraction - Fix "Skip to Chat" to navigate to /chat on step 1 (was /studio) * fix: comment out debug print statements * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: skip Shiki highlighting for incomplete SVG code fences While streaming SVG content, the syntax highlighter (Shiki) re-parses the entire growing SVG on every token, blocking the main thread and freezing the code area until the fence closes. Show a plain-text preview for incomplete SVG fences instead, similar to how Mermaid diagrams show a placeholder while streaming. * studio: fix default top_k from 50/40 to 20 for chat inference Per Qwen3.5 docs (unsloth.ai/docs/models/qwen3.5), top_k should be 20 for both thinking and non-thinking modes. The model-specific config in inference_defaults.json already had top_k=20 for Qwen3.5, but the generic fallback defaults were wrong: - Frontend DEFAULT_INFERENCE_PARAMS.topK: 50 -> 20 - Backend generate_chat_completion top_k: 40 -> 20 - Backend generate_chat_completion_with_tools top_k: 40 -> 20 - Frontend title generation top_k: 40 -> 20 * studio: set universal inference defaults for unknown models Default params for any model without specific config: temperature=0.6, top_p=0.95, top_k=20, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0 Models with entries in inference_defaults.json (Qwen3.5, Gemma-3, Llama, etc.) override these with their recommended values. Updated in: frontend DEFAULT_INFERENCE_PARAMS, backend Pydantic request models, and backend generate_chat_completion defaults. * studio: only trust_remote_code for unsloth/ models in AutoConfig Only set trust_remote_code=True when the model name starts with "unsloth/". All other models default to False for safety. * studio: move Generating spinner above the composer The "Generating" spinner was below the send message bar, causing the bar to jump up and down. Move it above the composer in both the regular thread view and the welcome/empty view. * studio: adjust toast close button position away from edge Move the X close button on toasts (like "Starting model...") from top-1.5 to top-3 and add right-3, giving more breathing room from the top-right corner. * studio: make Think button smaller with tighter icon-text gap Reduce gap from 1.5 to 0.5, padding from px-2.5/py-1 to px-2/py-0.5, and icon from size-3.5 to size-3. * studio: multiple onboarding and chat UX improvements - Move Generating spinner above composer (fixes jumping send bar) - Make Think button smaller with tighter icon-text gap - Chat card now inside grid (same size as Audio/Embeddings cards) - Rename "Chat Only" to "Chat" - Chat card requires Continue to proceed (no auto-advance) - Continue on Chat selection skips onboarding and goes to /chat - Tooltip (i) click on Chat card doesn't trigger navigation - Step 1 footer Back button goes back to splash (label is "Back") - Splash "Skip Onboarding" renamed to "Skip to Chat", navigates to /chat - Toast close button moved away from edge * studio: align Skip to Chat button, add Skip to footer - Sidebar "Skip to Chat" now uses primary (green) Button style with arrow icon, full width, aligned like step items. Shows on all steps. - Footer: added "Skip" outline button next to Continue that goes directly to /studio with progress saved (markOnboardingDone) * studio: change default max steps from 30 to 60 in toggle hook The DEFAULT_MAX_STEPS in use-max-steps-epochs-toggle.ts was still 30, used as fallback when toggling from epochs back to max steps. * studio: extend context length options to 262K CONTEXT_LENGTHS now includes 65536, 131072, 262144 in addition to the existing 512-32768 range. The onboarding step filters these by the model's max_position_embeddings (e.g. Nemotron-3-Nano-4B has 262144), showing powers of 2 up to the model's maximum. * studio: auto-select LoRA vs QLoRA based on model size and GPU memory After selecting a model in onboarding, detect the total model weight file size from HF Hub (safetensors/bin files). Then estimate memory needed: model_size_gb * 1.5 * context_scale, where context_scale is: - <=8192 tokens: 1.0x - >8192 tokens: 1.7x - >=16384 tokens: 2.0x - >=32768 tokens: 4.0x If the estimate fits in free GPU VRAM, default to LoRA (16-bit). Otherwise default to QLoRA (4-bit). Backend changes: - Add model_size_bytes to ModelDetails (models.py) - Add _get_model_size_bytes() using HfApi.repo_info (routes/models.py) - Add vram_free_gb to get_gpu_summary (hardware.py) Frontend changes: - Add autoSelectTrainingMethod() in training-config-store.ts - Called after model defaults are loaded - Add model_size_bytes to ModelConfigResponse type - Add vramFreeGb to HardwareInfo hook * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: rename "Importing ML libraries..." to "Importing Unsloth..." * studio: show model/dataset in training status, fix LoRA/QLoRA casing - Training status now shows 'Training "model_name"' and 'Dataset = ...' instead of generic "Starting training..." - Fix Studio progress section to show QLoRA/LoRA instead of QLORA/LORA * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: rename 'Skip to Chat' to 'Skip Onboarding' on splash screen * studio: add presence_penalty support for chat inference Add presence_penalty as a parameter across the full stack: - Backend: llama_cpp.py generate_chat_completion/with_tools, Pydantic models (inference.py), routes/inference.py pass-through - Frontend: InferenceParams type, DEFAULT_INFERENCE_PARAMS (0.0), chat-adapter.ts payload, chat-settings-sheet.tsx slider (0-2), model defaults loading from inference_defaults.json - Set Qwen3.5 default presence_penalty to 1.5 per official docs - Default for unknown models is 0.0 (off) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: fix Chat card deselecting Text and aligning with other cards * studio: fix presence_penalty not loading from inference defaults The inference_config.py load_inference_config() was not including presence_penalty in the returned config dict, so the Qwen3.5 default of 1.5 from inference_defaults.json never reached the frontend. Added it to the config builder. * studio: add delete button for cached models in model selector Add trash icon on each downloaded model row (GGUF and safetensors) with confirmation dialog. Backend DELETE /api/models/delete-cached endpoint uses huggingface_hub scan_cache_dir + delete_revisions to cleanly remove cached repos, refusing if the model is currently loaded. * studio: restore inference defaults, reasoning, and tools on page refresh On page refresh with a model already loaded, the frontend was not re-applying model-specific inference defaults (presence_penalty, temperature, etc.) or restoring reasoning/tools support flags. Backend: Add inference config, supports_reasoning, supports_tools, and context_length to InferenceStatusResponse. Frontend: In the refresh callback, when an active model is detected, apply mergeRecommendedInference and restore reasoning/tools flags with proper Qwen3.5 size-based defaults. * studio: fix delete dialog closing before async completes Prevent AlertDialogAction's default close behavior with e.preventDefault() so the dialog stays open during deletion. Also block onOpenChange dismiss while deleting is in progress. * fix: add Dict and Any imports to inference models * studio: fix Qwen3.5 reasoning threshold in frontend load path The frontend loadModel handler had the old threshold (<=2) for disabling reasoning on small Qwen3.5 models. Changed to <9 to match the backend. This was causing 4B to not properly disable thinking by default when auto-loaded. * studio: move GGUF delete to per-variant level For GGUF repos, the trash icon now appears on each downloaded variant row inside the quantization expander instead of on the repo-level row. Backend accepts optional variant param to delete specific GGUF files (blob + symlink) rather than the entire repo cache. * studio: restore ggufContextLength on page refresh The Max Tokens slider was capped at 32768 on page refresh because ggufContextLength was not restored from the status response. Now set it from statusRes.context_length on reconnect. * fix: remove <think> from Qwen3.5 response template marker The train-on-responses-only feature uses template markers to find where the assistant response starts. The Qwen3.5 response marker included '<think>\n' which is only present when thinking mode is enabled. With thinking disabled (default for <9B), the marker never matched, causing 100% of samples to be dropped. Changed response marker from '<|im_start|>assistant\n<think>\n' to '<|im_start|>assistant\n' which works regardless of thinking mode. * studio: fix sloth ASCII art alignment in training overlay * fix: correct sloth ASCII art alignment to match Unsloth banner * studio: add Python and terminal tool calling to chat Register python and terminal tools alongside web search. Python executor validates imports (stdlib only) via unsloth_zoo rl_environments, runs code in a subprocess sandbox with 5-min timeout and cancel support. Terminal executor blocks dangerous commands (rm, sudo, etc.) and runs in a temp directory. Update llama_cpp tool loop to show tool-specific status messages and pass cancel_event through to executors. Rename composer toggle from "Search" to "Tools" and show TerminalIcon for execution status pills. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: fix Nemotron/transformers 5.x support, onboarding navigation, port binding Backend: - Dynamic transformers 5.x detection via tokenizer_config.json fetch (checks for TokenizersBackend class, cached per-model) - Bump transformers 5.x version from 5.2.0 to 5.3.0 across all workers, setup scripts (setup.sh, setup.ps1) - Auto-enable trust_remote_code for unsloth/* models needing transformers 5.x (workaround for NemotronH config parsing bug in transformers) - Auto-install mamba-ssm/causal-conv1d for SSM models (NemotronH, Falcon-H1) with --no-build-isolation --no-deps to avoid torch version conflicts - Add SO_REUSEADDR to port check in run.py (fixes Colab proxy stale connection falsely reporting port as in-use) Frontend: - Fix "Skip to Chat" navigation: use window.location.href instead of React Router navigate() to bypass useEffect redirect race - Fix "Skip Onboarding" on splash: navigates to /studio (not /chat) - Fix onboarding guard: only check isOnboardingDone() on initial mount - Fix Chat card on step 1: add sr-only spacer for consistent alignment - Fix Chat+Text both selected: clear RadioGroup value when Chat is selected * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: split tools toggle into Search and Code buttons Replace the single "Tools" toggle with two independent toggles: - "Search" (globe icon) enables web search only - "Code" (terminal icon) enables Python and terminal execution Add enabled_tools list field to the inference payload so the backend only registers the tools the user has toggled on. Both toggles appear in the main composer and the compare composer. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: fix tool calling import validation and error logging Replace unsloth_zoo-dependent import checker with a standalone ast-based validator using sys.stdlib_module_names. This properly blocks non-stdlib imports (numpy, requests, etc.) and returns a clear error message to the model so it can rewrite using only stdlib. Add full traceback to tool streaming error logs for debugging. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix: parse gpt-oss harmony channels for clean safetensors chat output gpt-oss models emit multi-channel output via harmony protocol tokens (<|channel|>analysis<|message|>... and <|channel|>final<|message|>...). TextIteratorStreamer with skip_special_tokens=True strips the special tokens but leaves channel names concatenated with content, producing garbled output like "analysisWe need to...assistantfinalHello!". Add HarmonyTextStreamer that decodes with skip_special_tokens=False, parses harmony markup via regex, and emits <think>analysis</think> for the analysis channel and plain text for the final channel -- reusing the existing frontend reasoning UI. Also expose supports_reasoning=True for non-GGUF gpt-oss models in the /status endpoint so the frontend enables the Think toggle. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: use unsloth_zoo for Python sandbox validation Set UNSLOTH_IS_PRESENT=1 and import check_python_modules and check_signal_escape_patterns directly from unsloth_zoo instead of a standalone fallback. This gives us the full Unsloth validation including stdlib-only import checks and signal/timeout escape pattern detection. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * studio: allow all imports in Python tool sandbox Remove stdlib-only import restriction. Keep signal escape pattern detection via unsloth_zoo for safety. * studio: fix ReadTimeout on tool streaming final pass The 0.5s read timeout used for cancel-checking during streaming also fires when waiting for the first response from llama-server (e.g. reasoning model thinking for 15+ seconds). Add _stream_with_retry() context manager that retries on ReadTimeout while checking cancel_event, so the model has unlimited time to think before producing the first token. Applied to both the regular streaming path and the tool-calling final pass. * fix: rewrite HarmonyTextStreamer with stateful incremental parsing The delta-on-transformed approach had two critical bugs: 1. Before the full <|channel|>X<|message|> pattern was complete, the strip-tokens fallback emitted "analysis" as plain text. Then when the regex matched, _transform returned a completely different format (<think>...</think>) and the delta was computed against the wrong base string, producing fragments like "think>", "nk>", ">". 2. Even with full matches, the closing </think> tag shifted position as content grew, so text[prev_len:] produced garbled deltas. Replace with stateful incremental parsing that: - Buffers until a complete channel+message pair is seen - Emits <think> once when analysis channel first appears - Streams analysis content deltas (computed on channel content directly) - Emits </think> once when final channel first appears - Streams final content deltas - Closes open think tags in end() Also skip the generic all_special_tokens stripping in _clean_generated_text for gpt-oss since HarmonyTextStreamer already produces clean output and the generic stripping was mangling <think> tags. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix: strip all <|...|> tokens in gpt-oss cleanup, not just harmony subset The gpt-oss tokenizer has added tokens like <|return|> (id=200002) that are not part of the harmony channel protocol but can leak into output. The previous regex only stripped channel|message|start|end tokens. Broaden the _clean_generated_text regex for gpt-oss to <\|[a-z_]+\|> which catches all pipe-delimited tokens (return, constrain, reserved, etc.) without matching <think>/<\/think> tags. Verified: gpt-oss all_special_tokens are only <|return|>, <|reserved_200017|>, <|startoftext|> -- none overlap with <think>. The harmony tokens (channel, message, start, end) are added_tokens but not in all_special_tokens. * fix: hide config-only model repos from cached models list Repos that only have metadata/config files cached (no .safetensors or .bin weight files) were showing up in the Downloaded list with tiny sizes like "1.8 KB" or "24 KB". These are just leftover config snapshots from architecture checks, not usable models. Filter the cached-models endpoint to only include repos that contain actual model weight files (.safetensors or .bin). * studio: fix toast description text contrast in dark mode Add explicit !text-muted-foreground to toast description classNames so secondary text (e.g. "Releases VRAM and resets inference state.") is readable in dark mode. * studio: fix Chat card icon alignment with size-4 spacer Replace sr-only span (takes no space) with a size-4 shrink-0 div matching the RadioGroupItem dimensions in other cards, so the Chat icon aligns vertically with Text/Audio/Vision/Embeddings icons. --------- Co-authored-by: workspace <user@workspace.local> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Manan17 <shahmanan170602@gmail.com> Co-authored-by: Roland Tannous <rolandtannous@gravityq.ai> |
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08b5879101 |
fix: Ctrl+C not terminating backend on Linux (#4316)
* fix: Ctrl+C not breaking out of backend on Linux threading.Event.wait() without a timeout blocks at the C level on Linux, preventing Python from delivering SIGINT. Use a 1-second timeout loop so the interpreter can process pending signals. * [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> |
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0818f78617 |
Graceful shutdown on Windows (signal handlers for Ctrl+C) (#4306)
* fix: graceful shutdown on Windows (signal handlers for Ctrl+C) * [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> |
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928868f07d |
studio: auto-find free port if requested port is in use
If the requested port (default 8000) is already in use, auto- increment and try the next port, up to 20 attempts. Prints a message like "Port 8000 is in use, using port 8001 instead". Previously, if port 8000 was busy, uvicorn would fail with "[Errno 98] address already in use" and the studio would not start. Now it gracefully finds the next free port. Uses socket.bind() to check availability before starting uvicorn. Cross-platform (Linux, macOS, Windows). |
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47654cb91c | Final cleanup | ||
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a2baf80511 | Update license headers | ||
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6f77c63229 |
refactor: remove project_root passing, use self-resolved paths and ~/.unsloth/studio
- Workers now compute backend_path and venv_t5 locally via Path(__file__) - Moved .venv_t5 to ~/.unsloth/studio/.venv_t5 - Added ensure_studio_directories() call on server startup - Expanded CLI studio command into sub-app with setup subcommand |
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817f2e8dcc | feat: integrate structlog, configure workers for prod logging, and migrate print statements | ||
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d882678fe4 | Add AGPL-3.0 SPDX headers to all source files | ||
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6b2a777f97 | fix path in run_server | ||
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f07b919385 | change default frontend path in run.py to studio/frontend/dist | ||
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5f155010f6 | read external ips with fallback to standard notation 0.0.0.0 | ||
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837596a9e7 | feat: show external IP in startup banner | ||
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4c791bd5aa | feat(datasets): check-format to return preview samples | ||
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544d6944d1 | root studio folder |
Renamed from backend/run.py (Browse further)