diff --git a/.gitattributes b/.gitattributes index 264fdfd02f..0025f2a697 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,2 +1,13 @@ # Normalize Python files to LF line endings *.py text eol=lf + +# Always check out shell scripts with LF endings. Without this rule a Windows +# clone (core.autocrlf=true) rewrites them to CRLF, and the trailing \r breaks +# them when run in WSL/Linux (e.g. `set -e` -> "set: Illegal option -"). +*.sh text eol=lf + +# Normalize Unsloth frontend sources to LF. Scoped to the frontend tree (rather +# than repo-wide *.ts/*.tsx/... rules) so the policy can't force LF on files +# elsewhere. text=auto lets Git detect and leave binary assets (logos, fonts) +# untouched while text files (.ts/.tsx/.json/.html/.svg/...) are stored as LF. +studio/frontend/** text=auto eol=lf diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 2802f461b6..a9694036cf 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -6,10 +6,10 @@ /unsloth/models/rl_replacements.py @Datta0 @pluesclues @danielhanchen /unsloth/trainer.py @danielhanchen /unsloth/models/sentence_transformer.py @Etherll @danielhanchen -/unsloth/save.py @rolandtannous @danielhanchen +/unsloth/save.py @danielhanchen /unsloth/tokenizer_utils.py @mmathew23 @danielhanchen -/unsloth/chat_templates.py @rolandtannous @danielhanchen -/unsloth/ollama_template_mappers.py @rolandtannous @danielhanchen +/unsloth/chat_templates.py @danielhanchen +/unsloth/ollama_template_mappers.py @danielhanchen /unsloth/kernels/moe/*.py @Datta0 /unsloth/import_fixes.py @danielhanchen /unsloth/device_type.py @danielhanchen @@ -45,14 +45,14 @@ /unsloth/utils/hf_hub.py @mmathew23 /unsloth/utils/packing.py @mmathew23 -/cli/ @rolandtannous @Manan17 -/studio/frontend/ @Shine1i @rolandtannous @Manan17 +/cli/ @Manan17 +/studio/frontend/ @Shine1i @Manan17 /studio/frontend/public/ @Shine1i -/studio/backend/ @rolandtannous -/studio/backend/core/data_recipe/ @rolandtannous -/studio/backend/tests/ @rolandtannous @danielhanchen -/tests/ @rolandtannous @danielhanchen -/scripts/ @rolandtannous @danielhanchen +/studio/backend/ +/studio/backend/core/data_recipe/ +/studio/backend/tests/ @danielhanchen +/tests/ @danielhanchen +/scripts/ @danielhanchen # Snapshot data for the notebook linter / Colab oracle. Drift in these # files changes the pin floor for every Unsloth notebook, so refreshes diff --git a/.github/scripts/agent-guides-drive.sh b/.github/scripts/agent-guides-drive.sh new file mode 100755 index 0000000000..2457f08407 --- /dev/null +++ b/.github/scripts/agent-guides-drive.sh @@ -0,0 +1,682 @@ +#!/usr/bin/env bash +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Drive one coding agent against the running `unsloth run` server for the +# Local Agent Guides CI. All failures from here are failure class (c) +# "guide drift": the server preflight already passed and the agent CLI +# already installed, so a failure here means the documented recipe in +# unsloth_cli/commands/start.py no longer produces a working flow. +# +# Self-updating: for all six agents (claude, codex, hermes, openclaw, +# opencode, pi) we obtain the exact env + command from +# `unsloth start --no-launch` and run THAT, so a recipe change is +# exercised automatically. +# +# Every agent invocation is wrapped in `timeout` so a headless-TTY prompt +# can never hang the runner -- a timeout is reported as guide drift with a +# distinct message. +# +# Usage: +# agent-guides-drive.sh connection +# agent-guides-drive.sh file-edit +# agent-guides-drive.sh attribution-ab claude +# +# Required env (exported by serve-unsloth-run.sh): +# UNSLOTH_BASE_URL UNSLOTH_API_KEY UNSLOTH_MODEL_ID +# UNSLOTH_LLAMA_LOG_DIR AGENT_INVOKE_TIMEOUT UNSLOTH_SEED +set -uo pipefail + +MODE="${1:?usage: agent-guides-drive.sh }" +AGENT="${2:?usage: agent-guides-drive.sh }" + +: "${UNSLOTH_BASE_URL:?serve step did not export UNSLOTH_BASE_URL}" +: "${UNSLOTH_API_KEY:?serve step did not export UNSLOTH_API_KEY}" +: "${UNSLOTH_MODEL_ID:?serve step did not export UNSLOTH_MODEL_ID}" +# Determinism (seed/temp) is applied at the server level by +# serve-unsloth-run.sh --extra; agents inherit it through the API. +TIMEOUT="${AGENT_INVOKE_TIMEOUT:-180}" + +# Claude refuses --dangerously-skip-permissions outside a sandbox; the CI runner +# IS the sandbox, so declare it (mirrors unslothai/scripts launcher.sh). Harmless +# to the other agents, which ignore it. +export IS_SANDBOX=1 + +# Absolute paths anchored at the repo root (this script lives in +# .github/scripts/). Everything writes here regardless of the current working +# directory, so the file-edit mode can `cd` into a scratch work dir without +# breaking log/redaction writes. +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +REPO_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)" +LOGS_DIR="$REPO_ROOT/logs" +REDACTED_DIR="$REPO_ROOT/redacted-configs" +WORKDIR_BASE="$REPO_ROOT/agent-workdir" +CACHE_HELPER="$SCRIPT_DIR/assert-prompt-cache.sh" +mkdir -p "$LOGS_DIR" "$REDACTED_DIR" +CONNECT_REF="unsloth_cli/commands/start.py" + +# Prefill-shrinking flags for Claude Code. The heavyweight agents send +# multi-thousand-token system prompts + full tool schemas, which on a CPU-only +# runner is minutes of prefill per model round-trip (~16 tok/s for a 4B model). +# Replacing the ~5.7k default system prompt with a tiny one (--system-prompt-file) +# and restricting tools cuts the prefill to a few hundred tokens so it completes +# quickly on CPU. These only shape the request size; the start.py recipe +# (endpoint, auth, model) is still exercised end to end. +# +# The bulk of Claude Code's prompt is the built-in tool JSON schemas: measured +# via `claude -p /context`, the default prompt is ~28k tokens of which ~18k is +# "System tools" alone. --allowedTools/--disallowedTools only gate PERMISSION to +# call a tool; they do NOT remove its schema from what is sent to the model, so +# the earlier whitelist left the full ~18k in the prompt and CPU prefill +# (~16 tok/s) overran claude's own request timeout into a retry loop. --tools is +# the flag that restricts which schemas are sent. (The ~8k "Memory files" chunk +# is auto-loaded CLAUDE.md; the unsloth repo ships none, so it is 0 in CI.) +# +# Connection probe: --tools "" sends ZERO tool schemas, leaving ~20 tokens total +# (a one-line --system-prompt-file + the user turn), which prefills instantly. +CLAUDE_CONNECT_FLAGS=( + --system-prompt-file "$SCRIPT_DIR/ci-connect-prompt.txt" + --tools "" +) +# File-edit: the task needs the file/shell tools, so send only those schemas +# (~2.3k tokens vs ~18k for the full set). +CLAUDE_EDIT_FLAGS=( + --system-prompt-file "$SCRIPT_DIR/ci-min-system-prompt.txt" + --tools "Bash,Edit,Write,Read" +) + +guide_fail() { + echo "::error::[guide drift] agent=${AGENT}: $* (preflight passed + install OK, so the documented flow in ${CONNECT_REF} drifted)." >&2 + exit 1 +} + +# Redact the API key from any file we are about to keep as an artifact. +# Portable across GNU sed (Linux runners) and BSD sed (macOS), so the +# redaction is never silently skipped. +redact() { + local f + for f in "$@"; do + [ -f "$f" ] || continue + if sed --version >/dev/null 2>&1; then + sed -i "s#${UNSLOTH_API_KEY}##g" "$f" 2>/dev/null || true + else + sed -i '' "s#${UNSLOTH_API_KEY}##g" "$f" 2>/dev/null || true + fi + done +} + +# Print a file to the log with the key scrubbed, without mutating it (the raw file is +# still needed to parse the real env). Use this instead of `cat` for any transcript that +# carries an `export UNSLOTH_API_KEY=...` line, so a live key never reaches Actions logs. +cat_redacted() { + sed "s#${UNSLOTH_API_KEY}##g" "$1" +} + +# A reply must be non-empty and free of connection/auth errors. +assert_reply() { + local out="$1" + if [ ! -s "$out" ]; then + guide_fail "agent produced an EMPTY reply" + fi + if grep -qiE 'connection refused|connection error|econnrefused|fetch failed|http 4[0-9][0-9]|unauthorized|invalid api key|authentication failed' "$out"; then + guide_fail "agent reply contained a connection/auth error: $(grep -iE 'connection|unauthorized|auth|http 4' "$out" | head -1)" + fi + echo "[$AGENT] reply (first 20 lines):" + head -20 "$out" +} + +# Run a command under a hard timeout; map 124 to a guide-drift hang message. +run_timed() { # $1=outfile, rest=command + local out="$1"; shift + timeout "$TIMEOUT" "$@" > "$out" 2>&1 + local rc=$? + if [ "$rc" -eq 124 ]; then + redact "$out" # guide_fail exits below, so scrub the transcript here too + echo "[$AGENT] last 40 lines before timeout:"; tail -40 "$out" 2>/dev/null || true + guide_fail "invoke timed out after ${TIMEOUT}s (headless-TTY hang -- the recipe likely needs a non-interactive/print flag)" + fi + return "$rc" +} + +# Read a value from an `export VAR=...` line in the connect --no-launch output. +# `unsloth start` writes each agent's session config off the user's ~ and points +# at it through a relocation env var (CODEX_HOME / OPENCODE_CONFIG / +# OPENCLAW_CONFIG_PATH), so the contract checks read the path from here. +raw_env() { # $1 = var name -> value (one shlex-quote layer stripped) + local raw="$LOGS_DIR/connect-${AGENT}.txt" + local v; v="$(sed -n "s/^export $1=//p" "$raw" | tail -1)" + v="${v#\'}"; v="${v%\'}"; printf '%s' "$v" +} + +# ── 5-agent start.py path: parse env + command from --no-launch ───────── +# Populates globals CONNECT_ENV (export/unset lines) and CONNECT_CMD (the +# launch command on the last printed line), and runs start.py's config +# writers as a side effect (it writes each agent's relocated session config). +parse_connect() { + local raw="$LOGS_DIR/connect-${AGENT}.txt" + # CONNECT_YOLO=1 adds --yolo. opencode/openclaw gate tool approval through their + # config (which now prompts by default), so the file-edit test opts into auto-approval + # here, the same intent as claude/codex's per-call bypass flags. + local yolo=() + [ -n "${CONNECT_YOLO:-}" ] && yolo=(--yolo) + if ! unsloth start "$AGENT" --no-launch "${yolo[@]}" --api-key "$UNSLOTH_API_KEY" > "$raw" 2>&1; then + cat_redacted "$raw" + guide_fail "'unsloth start ${AGENT} --no-launch' exited non-zero" + fi + echo "[$AGENT] connect --no-launch printed:"; cat_redacted "$raw" + CONNECT_ENV="$(grep -E '^(export |unset )' "$raw" || true)" + # The launch command is the last non-export, non-status line. start.py + # prints "Unsloth · model " and "Updated ..." status lines first. + CONNECT_CMD="$(grep -vE '^(export |unset |Unsloth |Updated |Disabled |Warning|Loading)' "$raw" \ + | grep -E '[^[:space:]]' | tail -1)" + [ -n "$CONNECT_CMD" ] || guide_fail "could not parse a launch command from connect --no-launch output" + redact "$raw" +} + +# Cross-check the documented contract knobs so silent start.py changes +# (env-var rename, wire_api flip, attribution setting drop) also fail/flag. +crosscheck_contract() { + local raw="$LOGS_DIR/connect-${AGENT}.txt" + local cfg home + case "$AGENT" in + codex) + grep -q 'UNSLOTH_STUDIO_AUTH_TOKEN' "$raw" \ + || guide_fail "Codex env key is no longer UNSLOTH_STUDIO_AUTH_TOKEN (start.py _CODEX_ENV_KEY)" + home="$(raw_env CODEX_HOME)" + # An empty relocation var would make cfg "/config.toml" and silently + # skip the [ -f ] contract check below; fail loudly instead. + [ -n "$home" ] || guide_fail "CODEX_HOME missing from connect output (start.py codex())" + cfg="$home/config.toml" + if [ -f "$cfg" ]; then + grep -q 'wire_api = "responses"' "$cfg" \ + || guide_fail "Codex wire_api is no longer \"responses\" in \$CODEX_HOME/config.toml" + cp "$cfg" "$REDACTED_DIR/codex-config.toml" + fi + grep -q 'codex --oss --profile unsloth_api' "$raw" \ + || echo "::warning::Codex launch command changed from 'codex --oss --profile unsloth_api'" + ;; + claude) + grep -q 'ANTHROPIC_AUTH_TOKEN' "$raw" \ + || guide_fail "Claude no longer exports ANTHROPIC_AUTH_TOKEN (start.py claude())" + grep -q 'CLAUDE_CODE_ATTRIBUTION_HEADER' "$raw" \ + || echo "::warning::CLAUDE_CODE_ATTRIBUTION_HEADER no longer set for the session (start.py claude())" + ;; + hermes) + grep -q 'UNSLOTH_API_KEY' "$raw" \ + || guide_fail "Hermes env key is no longer UNSLOTH_API_KEY (start.py _HERMES_ENV_KEY)" + home="$(raw_env HERMES_HOME)" + [ -n "$home" ] || guide_fail "HERMES_HOME missing from connect output (start.py hermes())" + cfg="$home/config.yaml" + [ -f "$cfg" ] && cp "$cfg" "$REDACTED_DIR/hermes-config.yaml" + ;; + openclaw) + cfg="$(raw_env OPENCLAW_CONFIG_PATH)" + if [ -n "$cfg" ] && [ -f "$cfg" ]; then + grep -q '"openai-completions"' "$cfg" \ + || echo "::warning::OpenClaw provider api is no longer 'openai-completions' (write_openclaw_config)" + cp "$cfg" "$REDACTED_DIR/openclaw.json" + fi + ;; + opencode) + cfg="$(raw_env OPENCODE_CONFIG)" + [ -n "$cfg" ] && [ -f "$cfg" ] && cp "$cfg" "$REDACTED_DIR/opencode.json" + ;; + pi) + # Pi has no config-dir env var; the session is HOME-relocated, and the + # provider config lives at $HOME/.pi/agent/models.json. + cfg="$(raw_env HOME)/.pi/agent/models.json" + if [ -f "$cfg" ]; then + grep -q '"openai-completions"' "$cfg" \ + || echo "::warning::Pi provider api is no longer 'openai-completions' (write_pi_config)" + cp "$cfg" "$REDACTED_DIR/pi-models.json" + fi + ;; + esac + redact "$REDACTED_DIR"/* 2>/dev/null || true +} + +# Heavyweight agents (hermes, openclaw) bake a large system prompt + tool JSON +# schemas into every request, which a CPU runner cannot prefill before the invoke +# timeout. As with claude's --tools, we shrink the request from the agent's own +# config: zero tools for the connection probe collapses the prompt to a few +# hundred tokens, since both CLIs gate the bulk of their prompt on having tools. + +# Hermes: an explicit empty cli toolset disables all tools (and drops the +# tool-gated guidance blocks), so -z sends ~300 tokens instead of thousands. +# Hermes enables its default cli toolset when the session config does not pin one, +# so we must set platform_toolsets.cli explicitly to [] (not just append) to get +# zero tools. That needs a YAML parser, and the runner's bare python3 has no +# PyYAML -- but the venv that ships `unsloth` does (start.py imports yaml), so run +# the patch with that interpreter. We patch the relocated $HERMES_HOME/config.yaml +# that `unsloth start` printed, not the user's ~/.hermes. +# (-z reads platform_toolsets.cli; --ignore-rules is a no-op under -z.) +patch_hermes_tools() { # $1 = none|default + # Check the raw var BEFORE appending /config.yaml: the joined path is never + # empty, so the old guard could not fire and the patcher would die on + # "/config.yaml" with a bare traceback instead of this clear failure. + local home; home="$(raw_env HERMES_HOME)" + [ -n "$home" ] || guide_fail "Hermes HERMES_HOME missing from connect output (start.py hermes())" + local cfg; cfg="$home/config.yaml" + # Find a python that can import yaml. The runner's bare python3 cannot, but the + # interpreter in the `unsloth` console-script shebang provably can (it runs + # start.py's write_hermes_config, which imports yaml). Try that first, then + # any python on PATH, then the venv sibling, picking the first with PyYAML. + local cand py="" shebang + shebang="$(head -1 "$(command -v unsloth)" 2>/dev/null | sed -n 's/^#![[:space:]]*//p' | awk '{print $1}')" + for cand in "$shebang" python3 python "$(dirname "$(command -v unsloth)")/python"; do + [ -n "$cand" ] || continue + { [ -x "$cand" ] || command -v "$cand" >/dev/null 2>&1; } || continue + if "$cand" -c 'import yaml' 2>/dev/null; then py="$cand"; break; fi + done + [ -n "$py" ] || guide_fail "could not find a python with PyYAML to patch the hermes session config" + echo "[hermes] patching $cfg with $py" + "$py" - "$1" "$cfg" <<'PY' +import os, sys +import yaml +mode = sys.argv[1] +p = sys.argv[2] +cfg = (yaml.safe_load(open(p)) or {}) if os.path.exists(p) else {} +ts = cfg.get("platform_toolsets") +if not isinstance(ts, dict): + ts = cfg["platform_toolsets"] = {} +if mode == "none": + ts["cli"] = [] # explicit empty list -> zero tools (not "defaults") +else: + ts.pop("cli", None) # file-edit needs real tools -> restore defaults +with open(p, "w") as fh: + yaml.safe_dump(cfg, fh, sort_keys=False) +print(f"[hermes] platform_toolsets.cli = {ts.get('cli', 'default')}") +PY +} + +# OpenClaw: 'openclaw agent' has no tool/prompt flags, so we define a 'ci' agent +# in openclaw.json. tools.deny ["*"] sends zero tool schemas (deny always wins) +# for the connection probe; contextInjection "never" + defaults.skipBootstrap +# drop the auto-injected AGENTS.md/SOUL.md bootstrap (the bulk of the prompt) for +# both modes. --agent must reference a defined agent, so write it before invoking. +patch_openclaw_agent() { # $1 = notools|tools + # OpenClaw reads its config from the relocated OPENCLAW_CONFIG_PATH that + # `unsloth start` printed, so patch THAT file (not the user's ~/.openclaw). + local cfg; cfg="$(raw_env OPENCLAW_CONFIG_PATH)" + [ -n "$cfg" ] || guide_fail "OpenClaw OPENCLAW_CONFIG_PATH missing from connect output (start.py openclaw())" + python3 - "$1" "$cfg" <<'PY' +import os, sys, json +mode = sys.argv[1] +p = sys.argv[2] +cfg = json.load(open(p)) if os.path.exists(p) else {} +agents = cfg.setdefault("agents", {}) +agents.setdefault("defaults", {})["skipBootstrap"] = True +lst = [a for a in agents.get("list", []) if a.get("id") != "ci"] +agent = {"id": "ci", "contextInjection": "never"} +if mode == "notools": + agent["tools"] = {"deny": ["*"]} +lst.append(agent) +agents["list"] = lst +with open(p, "w") as fh: + json.dump(cfg, fh, indent=2) +print(f"[openclaw] agent ci tools = {agent.get('tools', 'default')}") +PY +} + +# Build an invoke script that applies start.py's env then runs the launch +# command (with extra args appended) under bash. We do NOT eval connect's env +# into this shell; we write it into a one-shot script so the export/unset +# semantics are exactly what start.py printed. The script path is absolute +# so it is valid even when the caller has cd'd into a scratch work dir. +invoke_via_connect() { # $1=outfile, rest=extra args appended to the command + local out="$1"; shift + local script="$LOGS_DIR/invoke-${AGENT}.sh" + local real; real="$(mktemp)" + # CONNECT_ENV_EXTRA / CONNECT_CMD_OVERRIDE let a caller (attribution-ab) flip a + # session knob without editing the user's config; empty -> use what start.py emitted. + local cmd="${CONNECT_CMD_OVERRIDE:-$CONNECT_CMD}" + { + echo "set -uo pipefail" + echo "$CONNECT_ENV" + [ -n "${CONNECT_ENV_EXTRA:-}" ] && echo "$CONNECT_ENV_EXTRA" + # Append extra args (the prompt / flags) to the launch command verbatim. + printf '%s' "$cmd" + local a + for a in "$@"; do printf ' %q' "$a"; done + printf '\n' + } > "$real" + # Upload a REDACTED copy of the script, but EXECUTE the un-redacted one from a + # temp path outside the artifact dir. Redacting the script we run would turn + # the real `export TOKEN=sk-...` line into `export TOKEN=`, which is + # invalid bash (the `<`/`>` are redirections) and silently breaks every agent. + # Writing the redacted copy up front keeps the key out of the artifact even if + # the run times out (run_timed exits before returning here). + cp "$real" "$script"; redact "$script" + # The connect one-liner now carries the key as an inline env assignment; scrub it on + # the way to the log (the executed $real keeps the live value). + echo "[$AGENT] invoking (timeout ${TIMEOUT}s): ${cmd//${UNSLOTH_API_KEY}/} $*" + run_timed "$out" bash "$real" + local rc=$? + rm -f "$real" + redact "$out" # the transcript can echo the token; scrub before upload + return "$rc" +} + +# ═════════════════════════════════════════════════════════════════════════ +case "$MODE" in + # ── connection: trivial prompt, assert a non-empty, error-free reply ──── + connection) + PROMPT='Reply with exactly the single word: pong' + OUT="$LOGS_DIR/${AGENT}-connection.txt" + parse_connect + crosscheck_contract + # claude/codex run in print mode via the flags start.py emits + # (claude -p / codex exec). For agents whose default subcommand prints + # to stdout we pass the prompt through ctx.args. + case "$AGENT" in + claude) invoke_via_connect "$OUT" "${CLAUDE_CONNECT_FLAGS[@]}" -p "$PROMPT" ;; + codex) invoke_via_connect "$OUT" exec --dangerously-bypass-approvals-and-sandbox "$PROMPT" ;; + opencode) invoke_via_connect "$OUT" run "$PROMPT" ;; + pi) invoke_via_connect "$OUT" -p "$PROMPT" ;; + hermes) patch_hermes_tools none + invoke_via_connect "$OUT" -z "$PROMPT" ;; + openclaw) patch_openclaw_agent notools + CONNECT_CMD_OVERRIDE=openclaw invoke_via_connect "$OUT" agent --local --agent ci \ + --model "unsloth/${UNSLOTH_MODEL_ID}" --message "$PROMPT" ;; + *) invoke_via_connect "$OUT" "$PROMPT" ;; + esac + # A non-zero exit from the documented launch command is drift even if it + # printed something: a benign-looking "command not found" / usage dump would + # otherwise slip past assert_reply (which only flags empty/error-keyword text). + rc=$? + [ "$rc" -eq 0 ] || guide_fail "the documented launch command exited non-zero (rc=$rc) -- see the transcript above" + assert_reply "$OUT" + echo "[$AGENT] connection OK" + ;; + + # ── file-edit: deterministic 2-turn hello.py test (Qwen3.5-2B) ────────── + file-edit) + WORK="$WORKDIR_BASE/${AGENT}" + rm -rf "$WORK"; mkdir -p "$WORK" + OUT1="$LOGS_DIR/${AGENT}-fileedit-turn1.txt" + OUT2="$LOGS_DIR/${AGENT}-fileedit-turn2.txt" + T1='Create a file named hello.py in the current directory whose entire contents are a single line: print("Hello"). Do not run it.' + T2='Run hello.py with python and show me the exact output.' + + # The start.py recipe writers + crosscheck must see the repo; run them + # from the repo root BEFORE cd-ing into the scratch work dir. opencode/openclaw + # gate tool approval through their config (prompting by default), so file-edit + # opts them into auto-approval to run edits/commands headlessly. + case "$AGENT" in opencode|openclaw) CONNECT_YOLO=1 ;; esac + parse_connect + crosscheck_contract + # File-edit needs real tools, so we cannot zero them as in connection. + # hermes keeps default tools; openclaw still strips its AGENTS.md/SOUL.md + # bootstrap (the largest prompt chunk) via the 'ci' agent. The scratch work + # dir is empty, so no project context files are auto-loaded either. + case "$AGENT" in + hermes) patch_hermes_tools default ;; + openclaw) patch_openclaw_agent tools ;; + esac + + # Drive from inside the work dir so the agent edits files there. All log + # writes use absolute $LOGS_DIR, so cwd does not matter for them. + cd "$WORK" || guide_fail "could not enter work dir $WORK" + + invoke_turn() { # $1=outfile $2=continue? $3=prompt + local out="$1" cont="$2" prompt="$3" + case "$AGENT" in + pi) + # Pi continues the previous session with -c; provider/model come from + # the parsed `unsloth start pi` recipe (CONNECT_CMD), not hardcoded here. + if [ "$cont" = "continue" ]; then + invoke_via_connect "$out" -p --continue "$prompt" + else + invoke_via_connect "$out" -p "$prompt" + fi ;; + claude) + # --dangerously-skip-permissions lets headless claude actually use the + # Write/Bash tools (otherwise it blocks on an approval prompt and emits + # nothing). IS_SANDBOX=1 (exported above) authorizes it. + if [ "$cont" = "continue" ]; then + invoke_via_connect "$out" "${CLAUDE_EDIT_FLAGS[@]}" --dangerously-skip-permissions -p --continue "$prompt" + else + invoke_via_connect "$out" "${CLAUDE_EDIT_FLAGS[@]}" --dangerously-skip-permissions -p "$prompt" + fi ;; + codex) + # --dangerously-bypass-approvals-and-sandbox gives codex exec + # workspace-write (default is read-only -> cannot create hello.py) and + # skips the bubblewrap sandbox that the runner lacks. + if [ "$cont" = "continue" ]; then + invoke_via_connect "$out" exec --dangerously-bypass-approvals-and-sandbox resume --last "$prompt" + else + invoke_via_connect "$out" exec --dangerously-bypass-approvals-and-sandbox "$prompt" + fi ;; + opencode) invoke_via_connect "$out" run "$prompt" ;; + hermes) invoke_via_connect "$out" -z "$prompt" ;; + openclaw) CONNECT_CMD_OVERRIDE=openclaw invoke_via_connect "$out" agent --local --agent ci \ + --model "unsloth/${UNSLOTH_MODEL_ID}" --message "$prompt" ;; + *) invoke_via_connect "$out" "$prompt" ;; + esac + } + + # Turn 1: create hello.py. + invoke_turn "$OUT1" fresh "$T1" + # Fail on a non-zero agent exit before trusting side effects: an agent can + # error out (API/tool failure) yet leave a plausible file/transcript behind, + # which would otherwise slip past the assertions below (mirrors connection). + rc=$? + [ "$rc" -eq 0 ] || { echo "[$AGENT] turn-1 transcript:"; tail -40 "$OUT1" 2>/dev/null || true; \ + guide_fail "turn 1 (create hello.py) exited non-zero (rc=$rc)"; } + + # Hard assertions on the side effect (the real test): file + content + run. + if [ ! -f hello.py ]; then + echo "[$AGENT] turn-1 transcript:"; tail -40 "$OUT1" 2>/dev/null || true + guide_fail "turn 1 did not create hello.py" + fi + grep -q 'Hello' hello.py || guide_fail "hello.py does not contain 'Hello'" + RUN_OUT="$(python3 hello.py 2>&1 || true)" + [ "$RUN_OUT" = "Hello" ] || guide_fail "python3 hello.py printed '$RUN_OUT', expected exactly 'Hello'" + echo "[$AGENT] turn 1 OK (file created, prints 'Hello')" + + # Turn 2: same cwd + session continuation; assert the agent's run output + # contains Hello. Narration drift is WARN-only, missing output is a hard fail. + invoke_turn "$OUT2" continue "$T2" + rc=$? + [ "$rc" -eq 0 ] || { echo "[$AGENT] turn-2 transcript:"; tail -60 "$OUT2" 2>/dev/null || true; \ + guide_fail "turn 2 (run hello.py) exited non-zero (rc=$rc)"; } + if grep -q 'Hello' "$OUT2"; then + echo "[$AGENT] turn 2 OK (run output contains 'Hello')" + else + echo "[$AGENT] turn-2 transcript:"; tail -60 "$OUT2" 2>/dev/null || true + guide_fail "turn 2 run/bash output did not contain 'Hello'" + fi + cd "$REPO_ROOT" || true + echo "[$AGENT] file-edit OK" + ;; + + # ── attribution-ab: Claude Code KV-cache HIT vs MISS ──────────────────── + attribution-ab) + [ "$AGENT" = "claude" ] || guide_fail "attribution-ab only applies to claude" + # The llama-server log filename uses the INTERNAL random llama.cpp port, + # not STUDIO_PORT, so we never glob by port: assert-prompt-cache.sh picks + # the newest llama-*.log and we slice it by a byte offset (`mark`) captured + # right before the measured turn, so an earlier turn's reuse can't leak in. + LLAMA_LOG_DIR="${UNSLOTH_LLAMA_LOG_DIR:-$HOME/.unsloth/studio/logs/llama-server}" + export LLAMA_LOG_DIR + parse_connect # prints session env + suppression flags (no ~/.claude write) + crosscheck_contract + PROMPT='Reply with exactly the single word: pong' + + # Phase A: the suppression start.py ships (CLAUDE_CODE_ATTRIBUTION_HEADER=0 + + # --exclude-dynamic-system-prompt-sections + --settings overlay) -> expect a + # HIT on the continued turn, since the system-prompt prefix is stable. + invoke_via_connect "$LOGS_DIR/claude-ab-hit-1.txt" -p "$PROMPT" # turn 1 primes + FROM_HIT="$(bash "$CACHE_HELPER" mark)" # offset before turn 2 + invoke_via_connect "$LOGS_DIR/claude-ab-hit-2.txt" -p --continue "$PROMPT again" + CACHE_LOG_FROM="$FROM_HIT" bash "$CACHE_HELPER" log HIT + + # Phase B: vanilla Claude with the header ENABLED -> expect a MISS. We flip + # the env var to 1 and strip the suppression flags from the launch command + # (without them the dynamic attribution line is included and changes every + # turn, so the shared prefix moves and the KV cache is invalidated, ~90% + # slower). This is session-only: nothing is written to ~/.claude. + CONNECT_ENV_EXTRA='export CLAUDE_CODE_ATTRIBUTION_HEADER=1' + CONNECT_CMD_OVERRIDE="$(printf '%s' "$CONNECT_CMD" \ + | sed -E "s/ --exclude-dynamic-system-prompt-sections//; s/ --settings '[^']*'//")" + invoke_via_connect "$LOGS_DIR/claude-ab-miss-1.txt" -p "$PROMPT" + FROM_MISS="$(bash "$CACHE_HELPER" mark)" + invoke_via_connect "$LOGS_DIR/claude-ab-miss-2.txt" -p --continue "$PROMPT again" + CACHE_LOG_FROM="$FROM_MISS" bash "$CACHE_HELPER" log MISS + unset CONNECT_ENV_EXTRA CONNECT_CMD_OVERRIDE + echo "[claude] attribution A/B OK (suppressed HIT, header=1 MISS)" + ;; + + # ── resume: does a launched agent's session survive exit and resume? ──── + # Unlike the other modes, this drives the real LAUNCH path (`unsloth start + # ...`, the interactive default), not the --no-launch recipe. That + # path relocates each agent's home to a throwaway temp dir wiped on exit, so + # a session cannot be resumed -- unless --persist routes it to the stable + # Unsloth agents dir instead. We run one headless turn per pass and check + # whether the turn left a session in a persistent store (deterministic, no + # reliance on the model recalling anything), for a baseline pass and a + # --persist pass, and assert the expected split for this agent. + resume) + CODEWORD="PLATYPUS7" + T1="Remember this codeword for later: ${CODEWORD}. Reply with just the word OK." + T2="What codeword did I ask you to remember? Reply with just that word." + WORK="$WORKDIR_BASE/${AGENT}-resume" + + # STABLE_HOME: the stable dir that --no-launch (and --persist) relocate to. + # Read it from a --no-launch probe (which also writes the agent's config + # there). codex/pi relocate their whole home/HOME here; opencode/claude keep + # their session data in a fixed user dir, so STABLE_HOME stays empty for them. + parse_connect + case "$AGENT" in + codex) STABLE_HOME="$(raw_env CODEX_HOME)" ;; + pi) STABLE_HOME="$(raw_env HOME)" ;; + *) STABLE_HOME="" ;; + esac + + # The persistent stores a session would land in if it were NOT wiped. We + # count files here before/after each turn; a positive delta means the + # session persisted (is resumable), zero means it went to a wiped temp dir. + resume_tracked_dirs() { + case "$AGENT" in + codex) printf '%s\n' "$HOME/.codex" ;; + opencode) printf '%s\n' "$HOME/.local/share/opencode" "$HOME/.config/opencode" ;; + claude) printf '%s\n' "$HOME/.claude" ;; + pi) printf '%s\n' "$HOME/.pi" ;; + *) : ;; + esac + [ -n "$STABLE_HOME" ] && printf '%s\n' "$STABLE_HOME" + } + count_session_files() { + local total=0 d n + while IFS= read -r d; do + [ -n "$d" ] && [ -d "$d" ] || continue + n="$(find "$d" -type f 2>/dev/null | wc -l)"; total=$((total + n)) + done < <(resume_tracked_dirs) + echo "$total" + } + + # The headless first-turn subcommand per agent (mirrors file-edit's map), + # forwarded verbatim through the launch path as passthrough args. + set_t1_cmd() { + case "$AGENT" in + claude) T1_CMD=("${CLAUDE_CONNECT_FLAGS[@]}" -p "$T1") ;; + codex) T1_CMD=(exec "$T1") ;; + opencode) T1_CMD=(run "$T1") ;; + pi) T1_CMD=(-p "$T1") ;; + *) guide_fail "resume mode does not cover agent '$AGENT'" ;; + esac + } + + # Run one headless turn through the launch path. $1=outfile, $2="" or + # "--persist", rest = the agent subcommand. --yolo auto-approves so no tool + # prompt can hang; --api-key attaches to the already-served CI model. + launch_turn() { + local out="$1" rflag="$2"; shift 2 + local flag=(); [ -n "$rflag" ] && flag=("$rflag") + run_timed "$out" unsloth start "$AGENT" "${flag[@]}" --yolo \ + --api-key "$UNSLOTH_API_KEY" "$@" + local rc=$? + redact "$out" + return "$rc" + } + + # One pass: fresh work dir, one planting turn, set RESULT to PERSISTED/WIPED + # from the session-store delta. Runs in the main shell (not a command + # substitution) so a hang's guide_fail actually fails the job and the + # progress lines reach the CI log. $1 = "" (baseline) or "--persist". + RESULT="" + run_pass() { + local rflag="$1" label="baseline" + [ -n "$rflag" ] && label="resume" + rm -rf "$WORK"; mkdir -p "$WORK" + set_t1_cmd + local out="$LOGS_DIR/${AGENT}-resume-${label}.txt" + local before after rc + before="$(count_session_files)" + pushd "$WORK" >/dev/null || guide_fail "could not enter work dir $WORK" + launch_turn "$out" "$rflag" "${T1_CMD[@]}"; rc=$? + popd >/dev/null || true + after="$(count_session_files)" + echo "[$AGENT] ${label}: session files ${before} -> ${after} (rc=${rc})" + # The turn must succeed for the delta to mean anything: an agent that writes a + # session file then errors would otherwise be misread as PERSISTED. Mirror the + # file-edit mode and fail the pass on a non-zero launch (the flagship codex recall + # below stays WARN-only, driven by its own launch_turn calls). + [ "$rc" -eq 0 ] || { echo "[$AGENT] ${label} transcript (tail):"; tail -30 "$out" 2>/dev/null || true; \ + guide_fail "resume ${label} turn for ${AGENT} exited non-zero (rc=${rc})"; } + if [ "$after" -gt "$before" ]; then RESULT="PERSISTED"; else RESULT="WIPED"; fi + } + + run_pass ""; BASELINE="$RESULT" + # Only the temp-dir agents (codex/pi) need the --persist pass to prove the fix. + # opencode/claude persist either way, so the baseline already proves it and a + # second full CPU turn only risks a timeout; skip it for them. + case "$AGENT" in + codex|pi) run_pass "--persist"; RESUME="$RESULT" ;; + *) RESUME="n/a (persists either way)" ;; + esac + + # Expected: codex/pi relocate their whole home to the temp dir, so a plain + # launch is WIPED and only --persist PERSISTS. opencode/claude keep their + # session data in a fixed user dir, so the baseline already PERSISTS. + case "$AGENT" in + codex|pi) EXPECT_BASELINE="WIPED" ;; + opencode|claude) EXPECT_BASELINE="PERSISTED" ;; + esac + + echo "──────────────────────────────────────────────" + echo "[$AGENT] RESUME EXPERIMENT" + echo " baseline (unsloth start ${AGENT}): ${BASELINE} (expected ${EXPECT_BASELINE})" + echo " with --persist (unsloth start ${AGENT} --persist): ${RESUME}" + echo "──────────────────────────────────────────────" + + [ "$BASELINE" = "$EXPECT_BASELINE" ] \ + || guide_fail "baseline resume behavior for ${AGENT} was ${BASELINE}, expected ${EXPECT_BASELINE}" + case "$AGENT" in + codex|pi) + [ "$RESUME" = "PERSISTED" ] \ + || guide_fail "--persist did not persist ${AGENT}'s session (got ${RESUME}); the session dir is still not stable" ;; + esac + + # Flagship behavioral proof (codex only, WARN-only): after a --persist plant, + # resume the session and check the model actually recalls the codeword. A + # miss is not a failure (the CI model is small); the mechanism gate above is + # the real assertion. + if [ "$AGENT" = "codex" ]; then + rm -rf "$WORK"; mkdir -p "$WORK" + ( cd "$WORK" && launch_turn "$LOGS_DIR/codex-resume-plant.txt" "--persist" exec "$T1" ) || true + ( cd "$WORK" && launch_turn "$LOGS_DIR/codex-resume-recall.txt" "--persist" exec resume --last "$T2" ) || true + if grep -q "$CODEWORD" "$LOGS_DIR/codex-resume-recall.txt" 2>/dev/null; then + echo "[codex] behavioral recall HIT: resumed session remembered ${CODEWORD}" + else + echo "::warning::[codex] behavioral recall MISS (small CI model); mechanism gate still passed" + fi + fi + echo "[$AGENT] resume OK" + ;; + + *) + echo "agent-guides-drive.sh: unknown mode '$MODE'" >&2 + exit 2 + ;; +esac diff --git a/.github/scripts/agent-guides-install.sh b/.github/scripts/agent-guides-install.sh new file mode 100755 index 0000000000..daf4bacd3e --- /dev/null +++ b/.github/scripts/agent-guides-install.sh @@ -0,0 +1,108 @@ +#!/usr/bin/env bash +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Install one coding-agent CLI for the Local Agent Guides CI. Isolated as +# failure class (b) "agent package install failed": npm/curl flakiness here +# is the single biggest source of false reds, so installs retry with +# backoff and the only ::error:: this script can emit is class (b). The +# install recipes mirror the install_hint strings in +# unsloth_cli/commands/start.py at HEAD. +# +# Usage: agent-guides-install.sh +# agent in: claude codex hermes openclaw opencode pi +set -uo pipefail + +AGENT="${1:?usage: agent-guides-install.sh }" +mkdir -p logs +LOG="logs/install-${AGENT}.log" + +install_fail() { + echo "::error::[agent install failed] agent=${AGENT}: $* (class (b): the agent CLI did not install; not a server or guide problem)." >&2 + echo "---- tail $LOG ----" >&2 + tail -60 "$LOG" 2>/dev/null || true + exit 1 +} + +# npm registry flakiness is common in CI; retry 3x with linear backoff. +# Extra npm flags may precede the package (e.g. npm_retry --ignore-scripts pkg). +npm_retry() { + local i + for i in 1 2 3; do + if npm install -g "$@" >> "$LOG" 2>&1; then + return 0 + fi + echo "[install] npm install -g $* attempt $i failed; backing off $((i * 10))s" | tee -a "$LOG" + sleep "$((i * 10))" + done + return 1 +} + +# curl|bash installers, retried at the curl layer. We download to a temp file +# first and only execute on a fully successful fetch, so a truncated download +# (network hiccup mid-stream) can never run a half-written installer. +curl_bash() { + local url="$1"; shift + local i tmp + tmp="$(mktemp)" + for i in 1 2 3; do + if curl -fsSL --retry 3 --retry-delay 5 "$url" -o "$tmp" 2>>"$LOG" \ + && bash "$tmp" "$@" >> "$LOG" 2>&1; then + rm -f "$tmp" + return 0 + fi + echo "[install] curl|bash $url attempt $i failed; backing off $((i * 10))s" | tee -a "$LOG" + sleep "$((i * 10))" + done + rm -f "$tmp" + return 1 +} + +echo "[install] agent=$AGENT (log=$LOG)" +case "$AGENT" in + claude) + # start.py install_hint: curl -fsSL https://claude.ai/install.sh | bash + curl_bash "https://claude.ai/install.sh" || install_fail "claude installer failed" + # The installer drops the binary under ~/.local/bin. + echo "$HOME/.local/bin" >> "$GITHUB_PATH" + ;; + codex) + # start.py install_hint: npm install -g @openai/codex + npm_retry "@openai/codex" || install_fail "npm install -g @openai/codex failed" + ;; + opencode) + # start.py install_hint: npm install -g opencode-ai + npm_retry "opencode-ai" || install_fail "npm install -g opencode-ai failed" + ;; + openclaw) + # start.py install_hint: curl -fsSL https://openclaw.ai/install.sh | bash + # npm is the more deterministic path in CI and matches the agent's docs; + # fall back to the start.py curl installer if the npm tag is missing. + if ! npm_retry "openclaw@latest"; then + curl_bash "https://openclaw.ai/install.sh" || install_fail "openclaw install failed (npm + curl)" + echo "$HOME/.local/bin" >> "$GITHUB_PATH" + fi + ;; + hermes) + # start.py install_hint: + # curl -fsSL .../NousResearch/hermes-agent/main/scripts/install.sh | bash + curl_bash "https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh" \ + --non-interactive --skip-setup --skip-browser --no-skills \ + || install_fail "hermes installer failed" + echo "$HOME/.local/bin" >> "$GITHUB_PATH" + ;; + pi) + # start.py install_hint: npm install -g --ignore-scripts @earendil-works/pi-coding-agent + # (--ignore-scripts matches Pi's documented recipe; exercising the exact hint + # catches guide drift). The CLI moved from the now-deprecated @mariozechner + # scope to @earendil-works (the old scope is frozen, so installing it would + # test a stale Pi against the API). + npm_retry --ignore-scripts "@earendil-works/pi-coding-agent" \ + || install_fail "npm install -g --ignore-scripts @earendil-works/pi-coding-agent failed" + ;; + *) + install_fail "unknown agent '$AGENT'" + ;; +esac + +echo "[install] OK for $AGENT" diff --git a/.github/scripts/assert-llama-loads.sh b/.github/scripts/assert-llama-loads.sh new file mode 100755 index 0000000000..62ef80d364 --- /dev/null +++ b/.github/scripts/assert-llama-loads.sh @@ -0,0 +1,57 @@ +#!/usr/bin/env bash +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Assert Unsloth installed a llama.cpp that loads and runs on THIS macOS. Tests +# the contract that matters (binaries load and their minimum-OS is <= this host) +# instead of the old "did install.sh fall back to a source build?" grep, since a +# source build with a correct deployment target is a valid outcome. +set -uo pipefail + +UNSLOTH_HOME="${STUDIO_HOME:-$HOME/.unsloth}" +LLAMA_DIR="${LLAMA_CPP_DIR:-$UNSLOTH_HOME/llama.cpp}" +BIN_DIR="$LLAMA_DIR/build/bin" + +fail() { + echo "::error::$*" + if [ -f logs/install.log ]; then + echo "---- install.log (llama.cpp lines) ----" + grep -E "llama-prebuilt|llama\.cpp|macos prebuilt|falling back" logs/install.log | tail -80 || true + fi + exit 1 +} + +SERVER="$(find "$LLAMA_DIR" -type f -name 'llama-server' 2>/dev/null | head -1)" +QUANT="$(find "$LLAMA_DIR" -type f -name 'llama-quantize' 2>/dev/null | head -1)" +[ -n "$SERVER" ] || fail "llama-server not found under $LLAMA_DIR after install" +[ -n "$QUANT" ] || fail "llama-quantize not found under $LLAMA_DIR after install" + +HOST_VER="$(sw_vers -productVersion 2>/dev/null || echo '0')" +HOST_MAJOR="${HOST_VER%%.*}" + +# Static minimum-OS check on every Mach-O we ship. vtool ships with the Xcode +# command line tools, which GitHub macOS runners always have; if it is somehow +# missing we skip the static check and rely on the runtime launch below. +if command -v vtool >/dev/null 2>&1; then + while IFS= read -r macho; do + [ -n "$macho" ] || continue + minos="$(vtool -show-build "$macho" 2>/dev/null | awk '/minos/{print $2; exit}')" + [ -n "$minos" ] || continue + min_major="${minos%%.*}" + if [ "$min_major" -gt "$HOST_MAJOR" ] 2>/dev/null; then + fail "$(basename "$macho") is built for macOS $minos but this runner is macOS $HOST_VER (prebuilt is newer than the host)" + fi + done < <(find "$BIN_DIR" -type f \( -name '*.dylib' -o -name 'llama-server' -o -name 'llama-quantize' \) 2>/dev/null) +fi + +# Runtime launch: --version forces dyld to load every linked dylib (including +# libggml-metal.dylib). A missing Metal symbol or too-new binary fails here. +if ! "$SERVER" --version >/tmp/llama-server-version.txt 2>&1; then + echo "---- llama-server --version output ----" + cat /tmp/llama-server-version.txt || true + fail "llama-server failed to launch on macOS $HOST_VER (dyld load / symbol error)" +fi + +echo "llama.cpp load validation passed on macOS $HOST_VER" +echo " server: $SERVER" +sed -n '1,4p' /tmp/llama-server-version.txt 2>/dev/null || true diff --git a/.github/scripts/assert-prompt-cache.sh b/.github/scripts/assert-prompt-cache.sh new file mode 100755 index 0000000000..8c28569f77 --- /dev/null +++ b/.github/scripts/assert-prompt-cache.sh @@ -0,0 +1,238 @@ +#!/usr/bin/env bash +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Prompt-cache (KV-cache prefix reuse) detection, two strategies in one helper: +# +# mode=api A 2-turn /v1/chat/completions probe. Turn 2 prepends turn 1 + +# its reply, so the shared prefix must be served from llama.cpp's +# KV cache. Asserts usage.prompt_tokens_details.cached_tokens > 0 +# on turn 2. This is the OpenAI-dialect server cache sanity. +# WHY this works on chat completions: the chat path forwards +# llama-server's real cached_tokens through +# studio/backend/routes/inference.py:482-489 (_prompt_tokens_details) +# into prompt_tokens_details (inference.py:519). +# +# mode=log Read the llama-server log and decide HIT vs MISS from the +# prompt-reprocessing trace. WHY the log (not the API field): +# the Anthropic /v1/messages path builds AnthropicUsage( +# input_tokens=..., output_tokens=...) at inference.py:8787-8790 +# / :8829-8832 and NEVER sets cache_read_input_tokens, which +# therefore stays at its model default of 0 +# (studio/backend/models/inference.py:1655). So an Anthropic-path +# client (Claude Code, OpenClaw is openai-completions but Claude +# Code is the canonical Anthropic agent) can get a real KV-cache +# hit that the API usage field reports as 0. The only ground +# truth for the Anthropic path is the llama-server log. +# +# Log location (verified): studio/backend/core/inference/llama_cpp.py:4363-4365 +# _swa_cache_path().parent/"logs"/"llama-server"/llama-[label]-port-

[-try].log +# _swa_cache_path() => $UNSLOTH_STUDIO_HOME|$STUDIO_HOME or ~/.unsloth/studio +# (llama_cpp.py:337-340). So default: ~/.unsloth/studio/logs/llama-server/. +# +#

is the INTERNAL llama-server port (self._find_free_port(), +# llama_cpp.py:3489 / :4641) -- a RANDOM port, NOT the Unsloth port. So we must +# NOT filter the log glob by STUDIO_PORT (the brief's `port-` +# glob would never match). We pick the newest llama-*.log instead. +# +# Usage: +# assert-prompt-cache.sh api BASE_URL API_KEY +# assert-prompt-cache.sh log EXPECT # EXPECT = HIT | MISS +# # reads MARKER_BEFORE/MARKER_AFTER +# # byte offsets from env (see below) +# assert-prompt-cache.sh mark # print current log size to stdout +# # (use to bracket a turn) +# +# Env for mode=log: +# LLAMA_LOG_DIR override the log dir (default ~/.unsloth/studio/logs/llama-server) +# CACHE_LOG_FROM byte offset to start scanning the newest log from (so we +# only look at the trace produced by THIS turn). Default 0. +# +# Exit codes: 0 = assertion held; 1 = assertion failed (::error:: emitted). + +set -uo pipefail + +MODE="${1:?usage: assert-prompt-cache.sh api|log|mark ...}" + +# --------------------------------------------------------------------------- +# Locate the newest llama-server log. Shared by mark + log modes. +# --------------------------------------------------------------------------- +_default_log_dir() { + local home="${UNSLOTH_STUDIO_HOME:-${STUDIO_HOME:-}}" + if [ -n "$home" ]; then + echo "${home%/}/logs/llama-server" + else + echo "${HOME}/.unsloth/studio/logs/llama-server" + fi +} + +_newest_log() { + local dir="${LLAMA_LOG_DIR:-$(_default_log_dir)}" + [ -d "$dir" ] || return 1 + # Newest by mtime among llama-*.log (covers both `llama--port-

.log` + # and the retry form `llama-

-try.log`). Filenames are + # tool-generated timestamps, so ls -t is safe here. + # shellcheck disable=SC2012 + ls -1t "$dir"/llama-*.log 2>/dev/null | head -1 +} + +case "$MODE" in + # ------------------------------------------------------------------------- + # mark: emit the current byte size of the newest llama log so a caller can + # scan only the slice a single turn produced (set CACHE_LOG_FROM to it). + # ------------------------------------------------------------------------- + mark) + log="$(_newest_log || true)" + if [ -n "$log" ] && [ -f "$log" ]; then + wc -c < "$log" | tr -d ' ' + else + echo 0 + fi + exit 0 + ;; + + # ------------------------------------------------------------------------- + # api: 2-turn /v1/chat/completions, assert turn-2 cached_tokens > 0. + # ------------------------------------------------------------------------- + api) + BASE_URL="${2:?usage: assert-prompt-cache.sh api BASE_URL API_KEY}" + API_KEY="${3:?usage: assert-prompt-cache.sh api BASE_URL API_KEY}" + + # A deliberately long, fixed system prompt makes the shared prefix big so a + # KV-cache hit is unambiguous (cached_tokens grows with the reused prefix). + SYS='You are a meticulous assistant. Always answer concisely and correctly. This is a fixed system preamble that exists only to create a large, identical prompt prefix across both turns so the KV cache has something substantial to reuse on the second request. Do not mention this preamble.' + + turn1_body() { + jq -n --arg sys "$SYS" '{ + model: "default", + messages: [ + {role:"system", content:$sys}, + {role:"user", content:"What is the capital of France?"} + ], + temperature: 0.0, seed: 3407, max_tokens: 40, stream: false, + enable_thinking: false + }' + } + + echo "[cache/api] turn 1 (prime the KV cache)" + R1="$(curl -fs -X POST "${BASE_URL}/v1/chat/completions" \ + -H "Authorization: Bearer ${API_KEY}" -H 'content-type: application/json' \ + --max-time 240 -d "$(turn1_body)")" || { + echo "::error::[cache/api] turn-1 /v1/chat/completions request failed. Unsloth server/API regression." + exit 1 + } + A1="$(echo "$R1" | jq -r '.choices[0].message.content // ""')" + + turn2_body() { + jq -n --arg sys "$SYS" --arg a1 "$A1" '{ + model: "default", + messages: [ + {role:"system", content:$sys}, + {role:"user", content:"What is the capital of France?"}, + {role:"assistant", content:$a1}, + {role:"user", content:"And the capital of Germany?"} + ], + temperature: 0.0, seed: 3407, max_tokens: 40, stream: false, + enable_thinking: false + }' + } + + echo "[cache/api] turn 2 (expect cached_tokens > 0)" + R2="$(curl -fs -X POST "${BASE_URL}/v1/chat/completions" \ + -H "Authorization: Bearer ${API_KEY}" -H 'content-type: application/json' \ + --max-time 240 -d "$(turn2_body)")" || { + echo "::error::[cache/api] turn-2 /v1/chat/completions request failed. Unsloth server/API regression." + exit 1 + } + + CACHED="$(echo "$R2" | jq -r '.usage.prompt_tokens_details.cached_tokens // 0')" + PROMPT_TOK="$(echo "$R2" | jq -r '.usage.prompt_tokens // 0')" + echo "[cache/api] turn-2 usage: prompt_tokens=${PROMPT_TOK} cached_tokens=${CACHED}" + + if [ -z "$CACHED" ] || ! [ "$CACHED" -gt 0 ] 2>/dev/null; then + echo "::error::[cache/api] turn-2 usage.prompt_tokens_details.cached_tokens=${CACHED}, expected > 0. The server is not surfacing llama.cpp KV-cache hits on /v1/chat/completions. Check studio/backend/routes/inference.py:482-489 (_prompt_tokens_details) and :519. Full turn-2 usage:" + echo "$R2" | jq -c '.usage' 2>/dev/null || echo "$R2" + exit 1 + fi + echo "[cache/api] PASS server cache sanity (cached_tokens=${CACHED} > 0)" + exit 0 + ;; + + # ------------------------------------------------------------------------- + # log: classify the newest llama-server log (from CACHE_LOG_FROM bytes on) + # as HIT or MISS and compare to EXPECT. + # ------------------------------------------------------------------------- + log) + EXPECT="${2:?usage: assert-prompt-cache.sh log HIT|MISS}" + FROM="${CACHE_LOG_FROM:-0}" + + log="$(_newest_log || true)" + if [ -z "$log" ] || [ ! -f "$log" ]; then + echo "::error::[cache/log] no llama-server log under ${LLAMA_LOG_DIR:-$(_default_log_dir)}. Cannot read KV-cache trace. (Path contract: studio/backend/core/inference/llama_cpp.py:4363-4365.)" + exit 1 + fi + echo "[cache/log] reading $log from byte $FROM" + + # Scan only the slice produced after FROM. + slice="$(tail -c "+$((FROM + 1))" "$log" 2>/dev/null || cat "$log")" + + # ---- HIT detectors (most-specific first) ----------------------------- + # 1. Modern + legacy "re-used N tokens" / "reused N" (N>0). Primary signal + # per the design brief. + reused_n="$(printf '%s\n' "$slice" \ + | grep -aoiE 're-?used[^0-9]*([0-9]+)' \ + | grep -aoE '[0-9]+' | sort -rn | head -1 || true)" + # 2. "kv cache rm [START, end)" with START>0 => prefix [0,START) reused. + cache_rm_start="$(printf '%s\n' "$slice" \ + | grep -aoiE 'kv cache rm \[[0-9]+' \ + | grep -aoE '[0-9]+' | sort -rn | head -1 || true)" + # 3. "n_past = N" with N>0 after a prompt-processing line (prefix kept). + n_past_n="$(printf '%s\n' "$slice" \ + | grep -aoiE 'n_past[^0-9]*([0-9]+)' \ + | grep -aoE '[0-9]+' | sort -rn | head -1 || true)" + # 4. tokens_cached / tokens from cache (some builds). + tok_cached="$(printf '%s\n' "$slice" \ + | grep -aoiE 'tokens_cached[^0-9]*([0-9]+)' \ + | grep -aoE '[0-9]+' | sort -rn | head -1 || true)" + + # ---- MISS detectors -------------------------------------------------- + # Explicit forced full re-processing (SWA / recurrent) or kv cache rm [0,. + forced_full=0 + if printf '%s\n' "$slice" | grep -aqiE 'forcing full prompt re-?processing|kv cache rm \[0,'; then + forced_full=1 + fi + + HIT=0 + why="" + if [ -n "$reused_n" ] && [ "$reused_n" -gt 0 ] 2>/dev/null; then + HIT=1; why="re-used=$reused_n" + elif [ -n "$cache_rm_start" ] && [ "$cache_rm_start" -gt 0 ] 2>/dev/null; then + HIT=1; why="kv-cache-rm-start=$cache_rm_start" + elif [ -n "$tok_cached" ] && [ "$tok_cached" -gt 0 ] 2>/dev/null; then + HIT=1; why="tokens_cached=$tok_cached" + elif [ "$forced_full" = "0" ] && [ -n "$n_past_n" ] && [ "$n_past_n" -gt 0 ] 2>/dev/null; then + # n_past>0 is the weakest signal; only trust it if nothing forced a full + # reprocess. (On a cold slot n_past tracks total processed, so it is a + # last-resort fallback per the brief.) + HIT=1; why="n_past=$n_past_n(fallback)" + fi + [ "$HIT" = "1" ] || why="${why:-no-reuse-markers (forced_full=$forced_full)}" + + OBSERVED="MISS"; [ "$HIT" = "1" ] && OBSERVED="HIT" + echo "[cache/log] observed=$OBSERVED expected=$EXPECT ($why)" + + if [ "$OBSERVED" != "$EXPECT" ]; then + echo "::error::[cache/log] KV-cache observed=$OBSERVED but expected=$EXPECT ($why). See the attribution A/B note in the workflow." + echo "---- llama-server log slice (last 60 lines) ----" + printf '%s\n' "$slice" | tail -60 + exit 1 + fi + echo "[cache/log] PASS ($OBSERVED == $EXPECT)" + exit 0 + ;; + + *) + echo "::error::unknown mode '$MODE' (want api|log|mark)" + exit 1 + ;; +esac diff --git a/.github/scripts/ci-connect-prompt.txt b/.github/scripts/ci-connect-prompt.txt new file mode 100644 index 0000000000..2d96f2b1a8 --- /dev/null +++ b/.github/scripts/ci-connect-prompt.txt @@ -0,0 +1 @@ +You are a helpful assistant in a CI connectivity check. Answer the user directly in plain text. Do not use any tools, do not take any actions, and do not explain. Just reply with the answer. diff --git a/.github/scripts/ci-min-system-prompt.txt b/.github/scripts/ci-min-system-prompt.txt new file mode 100644 index 0000000000..d55b828bbd --- /dev/null +++ b/.github/scripts/ci-min-system-prompt.txt @@ -0,0 +1 @@ +You are a coding assistant running non-interactively in a CI smoke test. Use the available file-editing and shell tools to complete the user's request directly and concisely. Do not ask questions or explain; just do the task. diff --git a/.github/scripts/hf-download-with-retry.sh b/.github/scripts/hf-download-with-retry.sh index c5ee013c80..6dec93356a 100755 --- a/.github/scripts/hf-download-with-retry.sh +++ b/.github/scripts/hf-download-with-retry.sh @@ -1,7 +1,9 @@ #!/usr/bin/env bash +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 # # Download a single file from a Hugging Face repo with a stall-retry -# watchdog. Used by the Studio CI workflows so a hung hf-xet transfer +# watchdog. Used by the Unsloth CI workflows so a hung hf-xet transfer # kills + retries instead of silently consuming the job's timeout. # # Usage: hf-download-with-retry.sh REPO FILE LOCAL_DIR @@ -33,7 +35,7 @@ REPO="${1:?usage: hf-download-with-retry.sh REPO FILE [LOCAL_DIR]}" FILE="${2:?usage: hf-download-with-retry.sh REPO FILE [LOCAL_DIR]}" # LOCAL_DIR is optional. If empty, hf falls back to HF_HUB_CACHE # (~/.cache/huggingface/hub) which is the desired path for callers -# that populate HF_HOME for a downstream Studio model load. +# that populate HF_HOME for a downstream Unsloth model load. LOCAL_DIR="${3:-}" # Stall threshold per attempt, in seconds. Override with diff --git a/.github/scripts/serve-unsloth-run.sh b/.github/scripts/serve-unsloth-run.sh new file mode 100755 index 0000000000..6ac98ded7c --- /dev/null +++ b/.github/scripts/serve-unsloth-run.sh @@ -0,0 +1,172 @@ +#!/usr/bin/env bash +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Boot `unsloth run --disable-tools` in the background, wait for it to be +# healthy, parse the minted API key from the banner, and resolve the +# /v1/models id. Exports everything downstream steps need into $GITHUB_ENV +# (or prints it when run outside Actions). Factored out of the workflow so +# the failure-isolation logic lives in one shellcheck-clean place. +# +# Usage: +# serve-unsloth-run.sh --model REPO --gguf-variant VAR --port PORT \ +# [--gguf-file PATH] [--extra "--seed 3407 --temp 0"] \ +# [--log-dir logs] [--health-timeout 300] +# +# Why a helper and not inline YAML +# -------------------------------- +# * Every `unsloth run` invocation here is the *Unsloth server* under test. +# A failure to come up healthy is class (a) "server/API regression" and +# must be reported with a distinct `::error::` BEFORE any agent runs. +# * The banner is the documented contract a human copies from. We parse the +# exact `API Key:` line printed by unsloth_cli/commands/studio.py +# (` API Key: ` non-silent, `API Key: ` silent) so a +# silent change to that line is also caught. +# * `unsloth run` re-execs into the studio venv ($STUDIO_HOME/unsloth_studio), +# so in CI after `install.sh --local` it runs the PR's repo code. +# +# Outputs written to $GITHUB_ENV (and echoed): +# UNSLOTH_API_KEY the sk-unsloth-* key minted on the banner +# UNSLOTH_STUDIO_URL http://127.0.0.1: (so `unsloth start` +# finds THIS server, not the hardcoded :8888) +# UNSLOTH_BASE_URL same as UNSLOTH_STUDIO_URL (alias for clarity) +# UNSLOTH_MODEL_ID the canonical id reported by /v1/models +# UNSLOTH_SERVER_PID pid of the backgrounded `unsloth run` +# UNSLOTH_LLAMA_LOG_DIR ~/.unsloth/studio/logs/llama-server + +set -uo pipefail + +# ── arg parse ──────────────────────────────────────────────────────────── +MODEL="" +GGUF_VARIANT="" +GGUF_FILE="" +PORT="" +EXTRA="" +LOG_DIR="logs" +HEALTH_TIMEOUT="300" + +while [ "$#" -gt 0 ]; do + case "$1" in + --model) MODEL="$2"; shift 2 ;; + --gguf-variant) GGUF_VARIANT="$2"; shift 2 ;; + --gguf-file) GGUF_FILE="$2"; shift 2 ;; + --port) PORT="$2"; shift 2 ;; + --extra) EXTRA="$2"; shift 2 ;; + --log-dir) LOG_DIR="$2"; shift 2 ;; + --health-timeout) HEALTH_TIMEOUT="$2"; shift 2 ;; + *) echo "serve-unsloth-run.sh: unknown arg '$1'" >&2; exit 2 ;; + esac +done + +[ -n "$PORT" ] || { echo "serve-unsloth-run.sh: --port is required" >&2; exit 2; } +if [ -z "$MODEL" ] && [ -z "$GGUF_FILE" ]; then + echo "serve-unsloth-run.sh: one of --model or --gguf-file is required" >&2 + exit 2 +fi + +mkdir -p "$LOG_DIR" +SERVER_LOG="$LOG_DIR/unsloth-run-${PORT}.log" +BASE_URL="http://127.0.0.1:${PORT}" +STUDIO_HOME_DIR="${STUDIO_HOME:-$HOME/.unsloth/studio}" +LLAMA_LOG_DIR="${STUDIO_HOME_DIR}/logs/llama-server" + +# Emit a key=value pair to $GITHUB_ENV when set, always echo for local runs. +emit() { + echo "$1=$2" + if [ -n "${GITHUB_ENV:-}" ]; then + echo "$1=$2" >> "$GITHUB_ENV" + fi +} + +server_fail() { + echo "::error::Unsloth server/API regression: $*" >&2 + echo "---- last 200 lines of $SERVER_LOG ----" >&2 + tail -200 "$SERVER_LOG" 2>/dev/null || true + exit 1 +} + +# ── port collision guard ───────────────────────────────────────────────── +# A leftover listener (or a parallel matrix cell that wandered onto our port) +# would make us attach to the wrong server and mask a real regression. Fail +# fast instead. +if command -v ss >/dev/null 2>&1; then + if ss -tln 2>/dev/null | grep -q ":${PORT}\b"; then + server_fail "port ${PORT} already has a listener before we started (collision)" + fi +fi + +# ── build the command ──────────────────────────────────────────────────── +# `unsloth run` == alias of `unsloth studio run`. --disable-tools is REQUIRED +# (passthrough mode) so the agent's own tools relay instead of the server's. +# --no-cloudflare keeps us off the network (loopback bind, no tunnel attempt). +CMD=(unsloth run -H 127.0.0.1 -p "$PORT" --disable-tools --no-cloudflare) +if [ -n "$GGUF_FILE" ]; then + CMD+=(--model "$GGUF_FILE") +else + CMD+=(--model "$MODEL") + [ -n "$GGUF_VARIANT" ] && CMD+=(--gguf-variant "$GGUF_VARIANT") +fi +# Determinism knobs + any caller passthrough (e.g. --seed 3407 --temp 0). +# shellcheck disable=SC2206 # intentional word-split of caller-controlled flags +[ -n "$EXTRA" ] && CMD+=($EXTRA) + +echo "[serve] launching: ${CMD[*]}" +echo "[serve] server log: $SERVER_LOG" + +# Run detached, no controlling TTY (setsid avoids any TTY-prompt hang and +# detaches from this step's process group so the job's teardown is clean). +setsid "${CMD[@]}" > "$SERVER_LOG" 2>&1 < /dev/null & +SERVER_PID=$! +emit UNSLOTH_SERVER_PID "$SERVER_PID" + +# ── wait for /api/health == healthy ────────────────────────────────────── +HEALTHY=0 +for _ in $(seq 1 "$HEALTH_TIMEOUT"); do + if ! kill -0 "$SERVER_PID" 2>/dev/null; then + server_fail "process exited before becoming healthy (pid $SERVER_PID)" + fi + if curl -fs "${BASE_URL}/api/health" -o "$LOG_DIR/health-${PORT}.json" 2>/dev/null; then + if jq -e '.status == "healthy"' "$LOG_DIR/health-${PORT}.json" >/dev/null 2>&1; then + HEALTHY=1 + break + fi + fi + sleep 1 +done +[ "$HEALTHY" = "1" ] || server_fail "did not report /api/health healthy within ${HEALTH_TIMEOUT}s" +echo "[serve] /api/health healthy" + +# ── parse the API key from the banner ──────────────────────────────────── +# Match both the non-silent " API Key: " and silent "API Key: " +# forms. We do NOT trust a fixed column count; we take the sk-unsloth-* token. +API_KEY="" +for _ in $(seq 1 30); do + API_KEY="$(grep -aoE 'sk-unsloth-[A-Za-z0-9_-]+' "$SERVER_LOG" 2>/dev/null | head -1 || true)" + [ -n "$API_KEY" ] && break + sleep 1 +done +if [ -z "$API_KEY" ]; then + # Fallback: take whatever follows an "API Key:" label, in case the key + # prefix scheme changes. Still a parse-fragility guard, not silent. + API_KEY="$(grep -aE 'API Key:' "$SERVER_LOG" 2>/dev/null \ + | sed -E 's/.*API Key:[[:space:]]*//' | head -1 || true)" +fi +[ -n "$API_KEY" ] || server_fail "could not parse an API key from the banner (banner-parse fragility -- check the 'API Key:' line in unsloth_cli/commands/studio.py)" +echo "::add-mask::${API_KEY}" +emit UNSLOTH_API_KEY "$API_KEY" + +# ── resolve /v1/models id ──────────────────────────────────────────────── +if ! curl -fs "${BASE_URL}/v1/models" \ + -H "Authorization: Bearer ${API_KEY}" -o "$LOG_DIR/models-${PORT}.json" 2>/dev/null; then + server_fail "/v1/models did not respond (or rejected the banner key)" +fi +MODEL_ID="$(jq -r '.data[0].id // empty' "$LOG_DIR/models-${PORT}.json" 2>/dev/null || true)" +[ -n "$MODEL_ID" ] || server_fail "/v1/models returned no model id (model failed to load)" +echo "[serve] resolved model id: $MODEL_ID" + +emit UNSLOTH_MODEL_ID "$MODEL_ID" +emit UNSLOTH_STUDIO_URL "$BASE_URL" +emit UNSLOTH_BASE_URL "$BASE_URL" +emit UNSLOTH_LLAMA_LOG_DIR "$LLAMA_LOG_DIR" + +echo "[serve] server is up: ${BASE_URL} (model ${MODEL_ID})" diff --git a/.github/workflows/consolidated-tests-ci.yml b/.github/workflows/consolidated-tests-ci.yml index 6b008d4bb1..d1bea819eb 100644 --- a/.github/workflows/consolidated-tests-ci.yml +++ b/.github/workflows/consolidated-tests-ci.yml @@ -209,7 +209,7 @@ jobs: 'peft>=0.18,<0.20' 'accelerate>=0.34,<2' \ ipython # torchvision: unsloth_zoo.vision_utils imports it at module scope. - pip install --index-url https://download.pytorch.org/whl/cpu \ + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ 'torch>=2.4,<2.11' 'torchvision<0.26' # transformers + trl from the matrix combo. pip install "$RESOLVED_TRANSFORMERS_SPEC" @@ -268,8 +268,15 @@ jobs: tests/saving/test_save_shell_injection.py \ tests/saving/test_patch_saving_none_tokenizer.py \ tests/saving/test_fix_sentencepiece_gguf_robustness.py \ + tests/saving/test_fix_sentencepiece_tokenizer_guard.py \ + tests/saving/test_compressed_export_schemes.py \ + tests/saving/test_export_api_surface.py \ + tests/saving/test_export_dispatch.py \ + tests/saving/test_imatrix_export.py \ + tests/saving/test_gguf_single_pass_export.py \ tests/utils/test_attention_masks.py \ - tests/utils/test_trunc_normal_patch.py + tests/utils/test_trunc_normal_patch.py \ + tests/python/test_fast_language_model_text_only.py python -m pytest --collect-only -q "$RUNNER_TEMP/unsloth-zoo/tests/" - name: import_fixes drift detectors (18 tests, HARD GATE) @@ -316,35 +323,78 @@ jobs: run: | python -m pytest -v --tb=short tests/test_public_api_surface.py + - name: callback signature drift detector (HARD GATE) + # Catches the MLX-style bug from PR #5498: a producer in + # unsloth_zoo (or unsloth) grows a callback arg, but a consumer + # callback def still declares the old arity. The producer's + # try/except swallows the resulting TypeError and the symptom is + # "callback never fires" -- usually diagnosed downstream as a + # confusing assertion several seconds later. This static AST + # check fails fast at PR time. UNSLOTH_ZOO_SRC points at the + # freshly cloned main so the detector sees platform-specific + # submodules (e.g. unsloth_zoo/mlx/) that the released wheel + # may strip. + env: + UNSLOTH_ZOO_SRC: ${{ runner.temp }}/unsloth-zoo + run: | + python -m pytest -v --tb=short tests/test_callback_signature_drift.py + + - name: generation correctness guards (HARD GATE) + # Deterministic CPU guards, each validated to fail on its pre-fix code: + # leftpad = batched left-padded generation (#1066/#3699, fixed by + # #2216 + #4100; staging proof: unsloth-staging-2 PRs 170/172); + # rope_scaling_drift = config.rope_scaling dropped by replaced rotary + # classes (#2405). AST checks run first so import breakage cannot mask them. + run: | + python -m pytest -v --tb=short \ + tests/utils/test_prepare_inputs_leftpad.py \ + tests/utils/test_rope_scaling_drift.py + - name: unsloth Bucket-A — CPU tests not in Repo tests (CPU) - # 16 tests across 5 files. They live inside tests/saving/ and - # tests/utils/, both of which Repo tests (CPU) excludes via --ignore - # because their sibling files need real GPUs / real HF weights. - # The five files below are pure-Python + AST/protobuf/regex tests - # that run cleanly on CPU. Env inherited from the job block. + # CPU tests across 6 files under tests/saving/, tests/utils/, tests/python/ + # that Repo tests (CPU) --ignores. AST/protobuf/regex plus tiny CPU model + # loads; run cleanly here (transformers/torch installed). run: | python -m pytest -q --tb=short \ tests/saving/test_save_shell_injection.py \ tests/saving/test_patch_saving_none_tokenizer.py \ tests/saving/test_fix_sentencepiece_gguf_robustness.py \ + tests/saving/test_fix_sentencepiece_tokenizer_guard.py \ + tests/saving/test_compressed_export_schemes.py \ + tests/saving/test_export_api_surface.py \ + tests/saving/test_export_dispatch.py \ + tests/saving/test_imatrix_export.py \ + tests/saving/test_gguf_single_pass_export.py \ tests/utils/test_attention_masks.py \ tests/utils/test_trunc_normal_patch.py \ + tests/python/test_fast_language_model_text_only.py \ + tests/test_bad_mappings_redirect.py \ + tests/test_prefetch_snapshot_scope.py \ + tests/test_gemma_2b_mapper_key.py \ --deselect 'tests/utils/test_attention_masks.py::test_run_attention_flash_varlen_receives_window_and_softcap' # The deselected test monkeypatches flash_attn_varlen_func, which is # only bound on the module when `flash_attn` is importable. flash_attn # requires CUDA + dev toolchain, which the CPU-only ubuntu-latest - # runner does not have. The other 15 Bucket-A tests pass cleanly. + # runner does not have. The other Bucket-A tests pass cleanly. - name: unsloth_zoo @ ${{ env.UNSLOTH_ZOO_REF }} — full pytest (CPU) # 106 of 111 test_* in unsloth_zoo are CPU-only. The two CUDA-skip # cases below auto-skip on a GPU-less runner; deselect them # explicitly so the no-CUDA outcome is "deselected", not "skipped", # making intent visible in the report. Env inherited from job block. + # + # test_get_peft_model_passes_finetune_last_n_layers_through is + # deselected because unsloth_zoo/mlx/loader.py at line 2972 calls + # model.trainable_parameters() on the fake-model fixture, which + # the test never stubbed; this fails on every platform regardless + # of CUDA. Tracked upstream as an unsloth_zoo bug; deselecting + # here unblocks unsloth CI until the loader fixture is fixed. working-directory: ${{ runner.temp }}/unsloth-zoo run: | python -m pytest -q --tb=short tests/ \ --deselect tests/test_unsloth_zoo_lora_merge.py::test_active_merge_device_returns_string_on_cuda_host \ - --deselect tests/test_unsloth_zoo_lora_merge.py::test_merge_lora_moves_cpu_inputs_to_active_device + --deselect tests/test_unsloth_zoo_lora_merge.py::test_merge_lora_moves_cpu_inputs_to_active_device \ + --deselect tests/test_mlx_finetune_last_n_layers.py::test_get_peft_model_passes_finetune_last_n_layers_through - name: unsloth_zoo — test_apply_fused_lm_head (lives in compiler.py) # `test_apply_fused_lm_head` lives at unsloth_zoo/compiler.py:1983, @@ -966,8 +1016,10 @@ jobs: # First seen on transformers >=5,<6; each represents a slow # or recursive source-rewriter path the zoo can address. "beit": "TimeoutError: compile exceeds per-model budget", + "deepseek_ocr2": "TimeoutError: compile exceeds per-model budget", "sam": "TimeoutError: compile exceeds per-model budget", "sam_hq": "TimeoutError: compile exceeds per-model budget", + "deepseek_ocr2": "TimeoutError: compile exceeds per-model budget", } @@ -2129,7 +2181,7 @@ jobs: python -m pip install --upgrade pip # Match the matrix job's torch path so unsloth_zoo's # `import torch` resolves to the same CPU build. - pip install --index-url https://download.pytorch.org/whl/cpu \ + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ 'torch>=2.4,<2.11' 'torchvision<0.26' pip install \ 'numpy<3' protobuf sentencepiece \ @@ -2167,12 +2219,13 @@ jobs: pip install -e "$RUNNER_TEMP/unsloth-zoo" --no-deps pip show unsloth_zoo - - name: llama.cpp install via unsloth_zoo.llama_cpp + `llama-cli --help` smoke + - name: llama.cpp install via unsloth_zoo.llama_cpp + CLI `--help` smoke # Exercise the canonical `unsloth_zoo.llama_cpp.install_llama_cpp` # flow that GGUF export uses at runtime: clone ggml-org/llama.cpp # into ~/.unsloth/llama.cpp, build the LLAMA_CPP_TARGETS list # (llama-quantize, llama-cli, llama-mtmd-cli, llama-gguf-split, - # llama-server) via cmake, then run `llama-cli --help`. + # llama-server) via cmake, then run `--help` on whichever CLI + # inference binary the build actually produced. # # This replaces the previous "download upstream prebuilt zip" # approach, which silently exited 0 with the message @@ -2181,6 +2234,18 @@ jobs: # matched their current asset names). The build path is the same # one Unsloth users hit in production via `model.save_pretrained_gguf`. # + # We do NOT hard-require `llama-cli` specifically: upstream + # ggml-org/llama.cpp moved the cli/server/ui targets behind the + # `LLAMA_BUILD_SERVER` cmake option (tools/CMakeLists.txt) and the + # set of binaries that survive a given checkout drifts over time + # (e.g. a recent build root shipped llama-server + llama-quantize + # + llama-diffusion-cli but no llama-cli). The durable contract is + # "install_llama_cpp produced a working CLI inference binary AND a + # working quantizer", so we --help-probe the first of + # llama-cli / llama-mtmd-cli / llama-server that exists. If a + # future llama.cpp restores llama-cli it is first in the list and + # is preferred, so this stays backwards compatible. + # # Wall-time budget: ~3-5 min cold, dominated by cmake build of # 5 targets on the runner's 4 cores. Apt-package install is # handled by `install_llama_cpp` itself via its @@ -2215,8 +2280,9 @@ jobs: print(f"Build targets: {LLAMA_CPP_TARGETS}") # install_llama_cpp returns (quantizer_path, converter_script_path). # The quantizer's directory is the `llama.cpp` install root, which - # also holds llama-cli after build/bin/llama-* gets copied up - # (llama_cpp.py:867-871). + # also holds the CLI inference binaries after build/bin/llama-* gets + # copied up (llama_cpp.py:1450-1454; on Windows they stay in + # build/bin/Release/). quantizer, converter = install_llama_cpp(print_output=True) assert quantizer and os.path.exists(quantizer), ( f"install_llama_cpp returned quantizer={quantizer!r} but file missing" @@ -2225,25 +2291,54 @@ jobs: f"install_llama_cpp returned converter={converter!r} but missing" ) install_root = os.path.dirname(quantizer) - cli = os.path.join(install_root, "llama-cli") - assert os.path.exists(cli), ( - f"llama-cli not found at {cli!r} after build. Build root contents: " - f"{sorted(p for p in os.listdir(install_root) if p.startswith('llama-'))[:20]}" - ) - assert os.access(cli, os.X_OK), f"{cli!r} not executable" - # `llama-cli --help` exits non-zero on some builds; the contract - # is that recognizable help text appears on stdout/stderr. + is_windows = sys.platform == "win32" + exe = ".exe" if is_windows else "" + # Search both the copied-up root and the Windows build/bin/Release/ + # location the quantizer might already live in. + search_dirs = [install_root] + win_release = os.path.join(install_root, "build", "bin", "Release") + if win_release not in search_dirs: + search_dirs.append(win_release) + # Any of these proves a working llama.cpp CLI inference binary was + # built. Order = preference: llama-cli is canonical (restored first + # if upstream brings it back), then the multimodal CLI, then the + # server (always built whenever cli would be, behind LLAMA_BUILD_SERVER). + cli_names = [f"llama-cli{exe}", f"llama-mtmd-cli{exe}", f"llama-server{exe}"] + cli = None + cli_name = None + for name in cli_names: + for d in search_dirs: + candidate = os.path.join(d, name) + if os.path.exists(candidate) and (is_windows or os.access(candidate, os.X_OK)): + cli, cli_name = candidate, name + break + if cli is not None: + break + if cli is None: + found = [] + for d in search_dirs: + if os.path.isdir(d): + found += [p for p in os.listdir(d) if p.startswith("llama-")] + raise AssertionError( + f"No CLI inference binary ({', '.join(cli_names)}) found after " + f"build in {search_dirs}. Build root contents: {sorted(set(found))[:20]}" + ) + print(f"Using CLI inference binary: {cli_name} -> {cli}") + # `--help` exits non-zero on some builds; the contract is that + # recognizable help text appears on stdout/stderr. llama-server + # exposes a different flag set than llama-cli, so accept its + # tokens too (e.g. --host / --port / "server"). proc = subprocess.run( [cli, "--help"], capture_output=True, text=True, timeout=30, ) combined = (proc.stdout or "") + (proc.stderr or "") - print("--- llama-cli --help (first 30 lines) ---") + print(f"--- {cli_name} --help (first 30 lines) ---") print("\n".join(combined.splitlines()[:30])) assert any( tok in combined.lower() - for tok in ("usage", "--help", "--model", "-m,") + for tok in ("usage", "--help", "--model", "-m,", "--host", "--port", "server") ), ( - f"llama-cli --help produced no recognizable help text. " + f"{cli_name} --help produced no recognizable help text. " f"exit={proc.returncode}\nstdout: {proc.stdout[:400]!r}\n" f"stderr: {proc.stderr[:400]!r}" ) @@ -2259,7 +2354,7 @@ jobs: f"stderr: {q.stderr[:400]!r}" ) print( - f"\nOK: install_llama_cpp produced a working llama-cli at {cli} " + f"\nOK: install_llama_cpp produced a working {cli_name} at {cli} " f"and llama-quantize at {quantizer}." ) PY diff --git a/.github/workflows/cross-platform-parity-ci.yml b/.github/workflows/cross-platform-parity-ci.yml new file mode 100644 index 0000000000..bb7dcbf8e4 --- /dev/null +++ b/.github/workflows/cross-platform-parity-ci.yml @@ -0,0 +1,69 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. + +# Runs installer parity and autostart opt-out tests on Windows and macOS. +# +# Why: that test is the guard that install.sh and install.ps1 stay in +# sync, but today it only runs on ubuntu-latest (auto-discovered by +# studio-backend-ci.yml's "Repo tests (CPU)" job). The test reads both +# installer scripts, and on Windows Path.read_text() defaults to the +# cp1252 locale encoding, so a non-cp1252 byte in install.sh (it already +# contains a U+274C) raises UnicodeDecodeError there even though Linux and +# macOS default to UTF-8. The reads were pinned to encoding="utf-8" in +# #6166; this job keeps that from silently regressing by exercising the +# test on the platforms it claims parity for. Pure pytest, no GPU, +# sub-second, so the matrix is cheap. + +name: Cross-platform parity + +on: + pull_request: + paths: + - 'install.sh' + - 'install.ps1' + - 'tests/test_installer_skip_autostart.py' + - 'tests/python/test_cross_platform_parity.py' + - '.github/workflows/cross-platform-parity-ci.yml' + push: + branches: [main] + paths: + - 'install.sh' + - 'install.ps1' + - 'tests/test_installer_skip_autostart.py' + - 'tests/python/test_cross_platform_parity.py' + - '.github/workflows/cross-platform-parity-ci.yml' + workflow_dispatch: + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + parity: + name: parity (${{ matrix.os }}) + strategy: + fail-fast: false + matrix: + os: [windows-latest, macos-latest] + runs-on: ${{ matrix.os }} + timeout-minutes: 10 + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + - run: python -m pip install -U pip pytest + - name: Cross-platform parity tests + env: + UNSLOTH_NO_TORCH: '1' + run: >- + python -m pytest + tests/python/test_cross_platform_parity.py + tests/test_installer_skip_autostart.py + -q diff --git a/.github/workflows/lint-ci.yml b/.github/workflows/lint-ci.yml index 00e6e357e2..e1f0afd299 100644 --- a/.github/workflows/lint-ci.yml +++ b/.github/workflows/lint-ci.yml @@ -13,10 +13,10 @@ # committed YAML / JSON config. # # TypeScript and Rust are NOT duplicated here on purpose: -# - Studio Frontend CI runs `npm run typecheck` (= `tsc --noEmit`) +# - Unsloth Frontend CI runs `npm run typecheck` (= `tsc --noEmit`) # and `npm run build` (vite/swc) on every studio/frontend/** # change, which is a full TS AST + type check. -# - Studio Tauri CI runs `tauri build --debug --no-bundle` on +# - Unsloth Tauri CI runs `tauri build --debug --no-bundle` on # every studio/src-tauri/** or studio/frontend/** change, which # compiles the Rust crate (= cargo check + cargo build). # Each is a stricter check than a parse-only step would be, so a @@ -79,6 +79,64 @@ jobs: run: | ruff check unsloth unsloth_cli studio tests cli.py unsloth-cli.py + - name: Import-hoist verifier self-test + # scripts/verify_import_hoist.py is a scope-aware (LEGB) AST + # resolver that gates import-hoisting / alias-rename refactors + # against two bugs ruff and pyflakes both miss: + # 1. dangling alias -- `from a import b as _b` hoisted to + # `from a import b` but a leftover `_b` reference now + # resolves to nothing (or to some other module-level `_b`). + # 2. rename clash -- `_b -> b` silently re-points at a + # different object already named `b` in that scope. + # This step runs the tool's 8 negative-control cases so a + # regression in the verifier itself fails before we trust it on + # a diff. Hermetic, stdlib-only, sub-second. Hard gate. + run: | + python scripts/verify_import_hoist.py --self-test + + - name: Import-hoist / alias-rename safety (changed Python files) + # Runs the verifier in compare mode on every in-place-modified + # .py in the PR: parses each file BEFORE (base branch) and AFTER + # (this diff), resolves every name load, and fails on a BLOCKER + # (dangling alias / rename clash / re-pointed import). INFO + # findings (a helper relocated to another file) do not fail. + # + # --diff-filter=M (in-place edits only) is deliberate: that is + # exactly where a hoist refactor lives, and it skips brand-new + # files whose re-export imports would otherwise look "unused". + # + # Diff against the true merge-base, not the base tip. A two-dot + # diff against the tip re-lints every file the base branch + # changed after the PR branched, comparing newer base code + # (BEFORE) against the PR's older snapshot (AFTER) - a + # time-reversed comparison that flags the base branch's own + # refactors as blockers on PRs that never touched those files. + # The compare API returns the merge-base without needing local + # history, and fetching that single commit by SHA keeps the + # shallow (fetch-depth: 1) clone. + if: github.event_name == 'pull_request' + env: + GH_TOKEN: ${{ github.token }} + run: | + MERGE_BASE=$(gh api \ + "repos/${{ github.repository }}/compare/${{ github.event.pull_request.base.sha }}...${{ github.event.pull_request.head.sha }}" \ + --jq .merge_base_commit.sha) + git fetch --no-tags --depth=1 origin "$MERGE_BASE" + mapfile -t CHANGED < <( + git diff --name-only --diff-filter=M \ + "$MERGE_BASE" HEAD -- '*.py' \ + | grep -vE '(^|/)(unsloth_compiled_cache|node_modules|build|dist)/' || true + ) + if [ "${#CHANGED[@]}" -eq 0 ]; then + echo "no in-place-modified Python files to check" + exit 0 + fi + printf 'merge base: %s\n' "$MERGE_BASE" + printf 'checking %d file(s):\n' "${#CHANGED[@]}" + printf ' %s\n' "${CHANGED[@]}" + python scripts/verify_import_hoist.py \ + --before "$MERGE_BASE" --after HEAD "${CHANGED[@]}" + - name: No leftover debugger / pdb / breakpoint calls # Catches the "I'll just stick a breakpoint() here" mistake # before it ships. AST-based so commented-out debugger diff --git a/.github/workflows/local-agent-guides-ci.yml b/.github/workflows/local-agent-guides-ci.yml new file mode 100644 index 0000000000..c48328e90f --- /dev/null +++ b/.github/workflows/local-agent-guides-ci.yml @@ -0,0 +1,787 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. + +# Local Agent Guides CI +# ===================== +# Detects when our local-agent setup recipes drift out of sync with +# `unsloth run`. Boots a real `unsloth run --disable-tools` server and +# drives the coding agents end to end through the *exact* recipes defined +# in unsloth_cli/commands/start.py (the in-repo source of truth -- there +# is no docs/ tree). Wherever start.py has a recipe we drive the agent +# via `unsloth start --no-launch` and execute what it prints, so +# the test self-updates against start.py and catches silent recipe drift. +# +# Source-of-truth files this workflow guards: +# unsloth_cli/commands/start.py the `unsloth start ` recipes +# unsloth_cli/commands/studio.py the `unsloth run` banner (API Key line) +# +# Failure taxonomy (each surfaced with a distinct ::error:: + the agent name +# + the start.py location, so a red X is immediately triageable): +# (a) Unsloth server/API regression -- the dialect HTTP preflight fails +# BEFORE the agent runs (or the server never becomes healthy). +# (b) Agent package install failed -- npm/curl install of the CLI failed. +# (c) Guide drift -- preflight passed + install ok, but +# the documented `unsloth start` flow produced no/garbled output. +# +# Agents covered (6): claude, codex, hermes, openclaw, opencode, pi. +# - All six have a `unsloth start ` recipe, so each cell obtains its +# env + command from `unsloth start --no-launch` and runs THAT +# (self-updating: a recipe change is exercised automatically). + +name: Local Agent Guides CI + +on: + # Off-peak weekly, deliberately a NON-:00 minute to dodge the top-of-hour + # GitHub-hosted-runner stampede. + schedule: + - cron: '37 7 * * 1' + workflow_dispatch: + pull_request: + paths: + - 'unsloth_cli/**' + - 'studio/backend/routes/**' + # Contracts this workflow asserts that live outside routes/**: the + # /api/health endpoint, the llama-server KV-cache log behavior, and the + # request/response schemas the agent dialects depend on. + - 'studio/backend/main.py' + - 'studio/backend/core/inference/llama_cpp.py' + - 'studio/backend/models/**' + - 'install.sh' + - '.github/workflows/local-agent-guides-ci.yml' + - '.github/scripts/serve-unsloth-run.sh' + - '.github/scripts/assert-prompt-cache.sh' + - '.github/scripts/agent-guides-install.sh' + - '.github/scripts/agent-guides-drive.sh' + - '.github/scripts/ci-connect-prompt.txt' + - '.github/scripts/ci-min-system-prompt.txt' + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +# Secret handling on pull_request: these jobs check out and run PR-controlled code +# (install.sh, .github/scripts/**), so HF_TOKEN (an external HF credential) is gated +# off pull_request at each step below -- public GGUF repos still download anonymously. +# GH_TOKEN (GITHUB_TOKEN) is kept: it is the job-scoped contents:read token and +# install_llama_prebuilt.py needs it for the GitHub releases API (else 403s). + +env: + # Determinism precedent (studio-inference-smoke.yml): temp 0 + fixed seed. + UNSLOTH_SEED: '3407' + # A single invoke must never hang the runner on a headless TTY prompt. With + # prefill-shrinking flags (minimal system prompt + restricted tools) a turn on + # a 4B model finishes in a couple of minutes on CPU; this also caps how long a + # still-large-prompt agent burns before failing. Well under the 6h job cap. + AGENT_INVOKE_TIMEOUT: '600' + +jobs: + # ═════════════════════════════════════════════════════════════════════ + # Job 1: connection + # Per-agent: serve gemma-3-270m, HTTP-preflight the agent's dialect, + # install the agent, run `unsloth start --no-launch`, execute + # the emitted recipe with a trivial prompt, assert a non-empty reply. + # Runs on PR + weekly + dispatch. Each matrix cell is its own runner so + # it serves exactly one model on its own port. + # ═════════════════════════════════════════════════════════════════════ + connection: + name: connection (${{ matrix.agent }}) + runs-on: ubuntu-latest + timeout-minutes: 40 + strategy: + fail-fast: false + matrix: + agent: [claude, codex, hermes, openclaw, opencode, pi] + include: + # OpenClaw needs Node 24; everything else is happy on 22. + - agent: openclaw + node: '24' + env: + # gemma-4-E4B (128K context, capable enough to drive every agent for a + # trivial reply; the 270m model produced empty/failed responses for + # codex/openclaw). Hermes' 64K context floor no longer constrains the model + # choice: write_hermes_config claims the floor for smaller windows and + # scales compaction back to the real window. Served as a flat + # GGUF file (the -MTP- repo ships no separate draft, so this is plain 4B). + GGUF_REPO: unsloth/gemma-4-E4B-it-GGUF + GGUF_FILE: gemma-4-E4B-it-UD-Q4_K_XL.gguf + STUDIO_PORT: '18901' + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Linux deps for llama.cpp prebuilt + run: | + sudo apt-get update + sudo apt-get install -y --no-install-recommends \ + libcurl4-openssl-dev libssl-dev jq + + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 + with: + node-version: ${{ matrix.node || '22' }} + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + + - name: Restore GGUF model file + id: cache-gguf + uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + continue-on-error: true + with: + path: gguf-cache + key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 + + - name: Download GGUF if cache miss + id: download-gguf + if: steps.cache-gguf.outputs.cache-hit != 'true' || steps.cache-gguf.outcome != 'success' + env: + # Gated off PR (see note above); public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + python -m pip install --upgrade huggingface_hub + mkdir -p gguf-cache + bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" gguf-cache + + - name: Save GGUF model file + if: always() && steps.download-gguf.outcome == 'success' + uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + with: + path: gguf-cache + key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 + + - name: Install Unsloth (--local, --no-torch) + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Gated off PR (see note above); public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + mkdir -p logs + set -o pipefail + bash install.sh --local --no-torch 2>&1 | tee logs/install.log + + # ── boot the server under test (factored helper) ────────────────── + - name: Serve unsloth run --disable-tools (gemma-4-E4B) + run: | + unsloth studio reset-password + bash .github/scripts/serve-unsloth-run.sh \ + --gguf-file "$GITHUB_WORKSPACE/gguf-cache/${GGUF_FILE}" \ + --port "$STUDIO_PORT" --log-dir logs \ + --extra "--seed $UNSLOTH_SEED --temp 0" \ + --health-timeout 900 + + # ── (a) server/API preflight: prove the dialect works BEFORE the agent ─ + # Distinct error class. If this step fails it is a SERVER regression, + # not the agent's or the guide's fault, and the agent steps never run. + - name: Preflight the agent's API dialect (class-a isolation) + env: + AGENT: ${{ matrix.agent }} + run: | + set -uo pipefail + B="$UNSLOTH_BASE_URL"; K="$UNSLOTH_API_KEY" + preflight_fail() { + echo "::error::[server/API regression] agent=$AGENT: $* (preflight failed BEFORE install/connect; this is class (a), not guide drift). Endpoint contract lives in studio/backend/routes/**."; + exit 1 + } + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/models" \ + -H "Authorization: Bearer $K") || true + [ "$code" = "200" ] || preflight_fail "/v1/models returned HTTP $code" + case "$AGENT" in + claude) + # Anthropic Messages dialect. + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/messages" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"max_tokens\":16,\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}") || true + [ "$code" = "200" ] || preflight_fail "/v1/messages returned HTTP $code" + ;; + codex) + # Codex always streams /v1/responses. + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/responses" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"input\":\"Hi\",\"max_output_tokens\":16,\"stream\":true}") || true + [ "$code" = "200" ] || preflight_fail "/v1/responses returned HTTP $code" + ;; + *) + # OpenAI Chat Completions dialect (hermes/opencode/pi/openclaw). + # OpenClaw's start.py recipe writes an "openai-completions" + # provider (write_openclaw_config), so it uses this path, not + # /v1/messages. + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/chat/completions" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"max_tokens\":16,\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}") || true + [ "$code" = "200" ] || preflight_fail "/v1/chat/completions returned HTTP $code" + ;; + esac + echo "preflight OK for $AGENT" + + # ── (b) install the agent CLI (hardened npm/curl, retried) ───────── + - name: Install agent CLI (class-b isolation) + env: + AGENT: ${{ matrix.agent }} + run: bash .github/scripts/agent-guides-install.sh "$AGENT" + + # ── (c) drive the agent via start.py and assert a reply ────────── + # For the 5 agents with a start.py recipe we run + # `unsloth start --no-launch`, eval its env/unset exports, + # then run the printed command with a hard timeout (no headless-TTY + # hang). Pi has no connect recipe, so it is driven by hand and the + # cell asserts that absence is the (known) reason. + - name: Drive ${{ matrix.agent }} via unsloth start (class-c isolation) + env: + AGENT: ${{ matrix.agent }} + run: bash .github/scripts/agent-guides-drive.sh connection "$AGENT" + + - name: Collect server logs (debug) + if: always() + run: | + mkdir -p logs/studio-logs + cp -r "$HOME/.unsloth/studio/logs/." logs/studio-logs/ 2>/dev/null || true + # Redact the key across the WHOLE logs/ tree, not just studio-logs: + # serve-unsloth-run.sh records the `unsloth run` banner (which prints + # `API Key: `) into logs/unsloth-run-.log, and the upload + # step publishes all of logs/, so scrubbing only studio-logs would leak + # the bearer token in the retained artifact. + # Sweep EVERY uploaded path, not just logs/ -- redacted-configs/ and + # agent-workdir/ are published by the same upload step. + if [ -n "${UNSLOTH_API_KEY:-}" ]; then + grep -rlF "$UNSLOTH_API_KEY" logs redacted-configs agent-workdir 2>/dev/null | while IFS= read -r f; do + sed -i "s#${UNSLOTH_API_KEY}##g" "$f" 2>/dev/null || true + done + fi + + - name: Stop Unsloth + if: always() + run: | + # Guard the PID: an unset/zero UNSLOTH_SERVER_PID would make + # `kill 0` signal this step's whole process group and abort cleanup. + if [ -n "${UNSLOTH_SERVER_PID:-}" ] && [ "${UNSLOTH_SERVER_PID}" != "0" ]; then + kill "${UNSLOTH_SERVER_PID}" 2>/dev/null || true + fi + sleep 2 + ss -tln 2>/dev/null | grep ":${STUDIO_PORT}" || true + + - name: Upload logs + if: always() + continue-on-error: true + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: connection-${{ matrix.agent }}-log + path: | + logs/ + redacted-configs/ + retention-days: 7 + + # ═════════════════════════════════════════════════════════════════════ + # Job 2: file-edit + # The deterministic 2-turn hello.py test on Qwen3.5-4B (smaller models + # can't reliably drive the heavyweight agents' edit flows). Weekly + + # dispatch only -- it is the slow, model-heavy job and must not gate PRs. + # ═════════════════════════════════════════════════════════════════════ + file-edit: + name: file-edit (${{ matrix.agent }}) + if: github.event_name != 'pull_request' + runs-on: ubuntu-latest + timeout-minutes: 60 + # hermes and openclaw drive a multi-turn tool loop that a CPU-only runner + # cannot finish in time (e.g. openclaw holds its 300s session-write-lock past + # expiry; each turn re-prefills the tool prompt at ~16 tok/s). Their endpoint + # wiring + generation are already hard-gated by the connection job, so the + # file-edit cell is best-effort here -- it still runs and uploads logs, but a + # timeout does not fail the workflow. Drop best_effort (or move e2e to a GPU + # runner) to make it blocking again. + continue-on-error: ${{ matrix.best_effort || false }} + strategy: + fail-fast: false + matrix: + agent: [claude, codex, hermes, openclaw, opencode, pi] + include: + - agent: openclaw + node: '24' + best_effort: true + - agent: hermes + best_effort: true + env: + # gemma-4-E4B served as a flat GGUF file (cache size tracks the .gguf 1:1, + # no xet-chunk inflation; the -MTP- repo ships no separate draft file). + GGUF_REPO: unsloth/gemma-4-E4B-it-GGUF + GGUF_FILE: gemma-4-E4B-it-UD-Q4_K_XL.gguf + STUDIO_PORT: '18902' + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Linux deps for llama.cpp prebuilt + run: | + sudo apt-get update + sudo apt-get install -y --no-install-recommends \ + libcurl4-openssl-dev libssl-dev jq + + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 + with: + node-version: ${{ matrix.node || '22' }} + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + + - name: Restore GGUF model file + id: cache-gguf + uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + continue-on-error: true + with: + path: gguf-cache + key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 + + - name: Download GGUF if cache miss + id: download-gguf + if: steps.cache-gguf.outputs.cache-hit != 'true' || steps.cache-gguf.outcome != 'success' + env: + # Gated off PR (see note above); public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + python -m pip install --upgrade huggingface_hub + mkdir -p gguf-cache + bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" gguf-cache + + - name: Save GGUF model file + if: always() && steps.download-gguf.outcome == 'success' + uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + with: + path: gguf-cache + key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 + + - name: Install Unsloth (--local, --no-torch) + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Gated off PR (see note above); public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + mkdir -p logs + set -o pipefail + bash install.sh --local --no-torch 2>&1 | tee logs/install.log + + - name: Serve unsloth run --disable-tools (gemma-4-E4B) + run: | + unsloth studio reset-password + bash .github/scripts/serve-unsloth-run.sh \ + --gguf-file "$GITHUB_WORKSPACE/gguf-cache/${GGUF_FILE}" \ + --port "$STUDIO_PORT" --log-dir logs \ + --extra "--seed $UNSLOTH_SEED --temp 0" \ + --health-timeout 900 + + - name: Preflight the agent's API dialect (class-a isolation) + env: + AGENT: ${{ matrix.agent }} + run: | + set -uo pipefail + B="$UNSLOTH_BASE_URL"; K="$UNSLOTH_API_KEY" + preflight_fail() { + echo "::error::[server/API regression] agent=$AGENT: $* (preflight failed BEFORE install/connect; this is class (a), not guide drift). Endpoint contract lives in studio/backend/routes/**."; + exit 1 + } + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/models" \ + -H "Authorization: Bearer $K") || true + [ "$code" = "200" ] || preflight_fail "/v1/models returned HTTP $code" + # Probe the same dialect the agent will use, so a streaming/messages + # regression in the weekly run is reported as class (a) here instead of + # surfacing later as guide drift (mirrors the connection job). + case "$AGENT" in + claude) + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/messages" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"max_tokens\":16,\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}") || true + [ "$code" = "200" ] || preflight_fail "/v1/messages returned HTTP $code" + ;; + codex) + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/responses" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"input\":\"Hi\",\"max_output_tokens\":16,\"stream\":true}") || true + [ "$code" = "200" ] || preflight_fail "/v1/responses returned HTTP $code" + ;; + *) + # OpenAI Chat Completions dialect (hermes/opencode/pi/openclaw). + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/chat/completions" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"max_tokens\":16,\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}") || true + [ "$code" = "200" ] || preflight_fail "/v1/chat/completions returned HTTP $code" + ;; + esac + echo "preflight OK for $AGENT" + + - name: Install agent CLI (class-b isolation) + env: + AGENT: ${{ matrix.agent }} + run: bash .github/scripts/agent-guides-install.sh "$AGENT" + + - name: 2-turn hello.py test (class-c isolation) + env: + AGENT: ${{ matrix.agent }} + run: bash .github/scripts/agent-guides-drive.sh file-edit "$AGENT" + + - name: Collect server logs (debug) + if: always() + run: | + mkdir -p logs/studio-logs + cp -r "$HOME/.unsloth/studio/logs/." logs/studio-logs/ 2>/dev/null || true + # Redact the key across the WHOLE logs/ tree, not just studio-logs: + # serve-unsloth-run.sh records the `unsloth run` banner (which prints + # `API Key: `) into logs/unsloth-run-.log, and the upload + # step publishes all of logs/, so scrubbing only studio-logs would leak + # the bearer token in the retained artifact. + # Sweep EVERY uploaded path, not just logs/ -- redacted-configs/ and + # agent-workdir/ are published by the same upload step. + if [ -n "${UNSLOTH_API_KEY:-}" ]; then + grep -rlF "$UNSLOTH_API_KEY" logs redacted-configs agent-workdir 2>/dev/null | while IFS= read -r f; do + sed -i "s#${UNSLOTH_API_KEY}##g" "$f" 2>/dev/null || true + done + fi + + - name: Stop Unsloth + if: always() + run: | + # Guard the PID: an unset/zero UNSLOTH_SERVER_PID would make + # `kill 0` signal this step's whole process group and abort cleanup. + if [ -n "${UNSLOTH_SERVER_PID:-}" ] && [ "${UNSLOTH_SERVER_PID}" != "0" ]; then + kill "${UNSLOTH_SERVER_PID}" 2>/dev/null || true + fi + sleep 2 + ss -tln 2>/dev/null | grep ":${STUDIO_PORT}" || true + + - name: Upload logs + if: always() + continue-on-error: true + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: file-edit-${{ matrix.agent }}-log + path: | + logs/ + agent-workdir/ + redacted-configs/ + retention-days: 7 + + # ═════════════════════════════════════════════════════════════════════ + # Job: resume + # Does a conversation started with `unsloth start ` survive exit + # and resume? This drives the REAL launch path (not the --no-launch + # recipe the other jobs use). A plain launch relocates the agent home to + # a temp dir wiped on exit, so codex/pi cannot resume; --persist routes the + # session to the stable Unsloth agents dir so it persists. opencode/claude + # keep their session data in a fixed user dir, so they persist either way. + # Dispatch-only: it is an end-to-end experiment, not a PR gate. + # ═════════════════════════════════════════════════════════════════════ + resume: + name: resume (${{ matrix.agent }}) + if: github.event_name == 'workflow_dispatch' + runs-on: ubuntu-latest + timeout-minutes: 60 + strategy: + fail-fast: false + matrix: + # codex/pi relocate their whole home (resume broken without --persist); + # opencode/claude keep session data in a fixed dir (resume already works). + # One agent from each class proves the split end to end; openclaw/hermes + # share codex's relocation mechanism and are covered by the unit tests. + agent: [codex, opencode, claude, pi] + env: + GGUF_REPO: unsloth/gemma-4-E4B-it-GGUF + GGUF_FILE: gemma-4-E4B-it-UD-Q4_K_XL.gguf + STUDIO_PORT: '18904' + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Linux deps for llama.cpp prebuilt + run: | + sudo apt-get update + sudo apt-get install -y --no-install-recommends \ + libcurl4-openssl-dev libssl-dev jq + + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 + with: + node-version: '22' + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + + - name: Restore GGUF model file + id: cache-gguf + uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + continue-on-error: true + with: + path: gguf-cache + key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 + + - name: Download GGUF if cache miss + id: download-gguf + if: steps.cache-gguf.outputs.cache-hit != 'true' || steps.cache-gguf.outcome != 'success' + env: + HF_TOKEN: ${{ secrets.HF_TOKEN }} + run: | + python -m pip install --upgrade huggingface_hub + mkdir -p gguf-cache + bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" gguf-cache + + - name: Save GGUF model file + if: always() && steps.download-gguf.outcome == 'success' + uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + with: + path: gguf-cache + key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 + + - name: Install Unsloth (--local, --no-torch) + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + HF_TOKEN: ${{ secrets.HF_TOKEN }} + run: | + mkdir -p logs + set -o pipefail + bash install.sh --local --no-torch 2>&1 | tee logs/install.log + + - name: Serve unsloth run --disable-tools (gemma-4-E4B) + run: | + unsloth studio reset-password + bash .github/scripts/serve-unsloth-run.sh \ + --gguf-file "$GITHUB_WORKSPACE/gguf-cache/${GGUF_FILE}" \ + --port "$STUDIO_PORT" --log-dir logs \ + --extra "--seed $UNSLOTH_SEED --temp 0" \ + --health-timeout 900 + + - name: Preflight the agent's API dialect (class-a isolation) + env: + AGENT: ${{ matrix.agent }} + run: | + set -uo pipefail + B="$UNSLOTH_BASE_URL"; K="$UNSLOTH_API_KEY" + preflight_fail() { + echo "::error::[server/API regression] agent=$AGENT: $* (preflight failed BEFORE install/connect). Endpoint contract lives in studio/backend/routes/**."; + exit 1 + } + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/models" \ + -H "Authorization: Bearer $K") || true + [ "$code" = "200" ] || preflight_fail "/v1/models returned HTTP $code" + case "$AGENT" in + claude) + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/messages" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"max_tokens\":16,\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}") || true + [ "$code" = "200" ] || preflight_fail "/v1/messages returned HTTP $code" + ;; + codex) + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/responses" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"input\":\"Hi\",\"max_output_tokens\":16,\"stream\":true}") || true + [ "$code" = "200" ] || preflight_fail "/v1/responses returned HTTP $code" + ;; + *) + code=$(curl -s -o /tmp/pf.json -w '%{http_code}' "$B/v1/chat/completions" \ + -H "Authorization: Bearer $K" -H 'content-type: application/json' \ + --max-time 120 \ + -d "{\"model\":\"$UNSLOTH_MODEL_ID\",\"max_tokens\":16,\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}") || true + [ "$code" = "200" ] || preflight_fail "/v1/chat/completions returned HTTP $code" + ;; + esac + echo "preflight OK for $AGENT" + + - name: Install agent CLI (class-b isolation) + env: + AGENT: ${{ matrix.agent }} + run: bash .github/scripts/agent-guides-install.sh "$AGENT" + + - name: Resume experiment (launch path) + env: + AGENT: ${{ matrix.agent }} + run: bash .github/scripts/agent-guides-drive.sh resume "$AGENT" + + - name: Collect server logs (debug) + if: always() + run: | + mkdir -p logs/studio-logs + cp -r "$HOME/.unsloth/studio/logs/." logs/studio-logs/ 2>/dev/null || true + if [ -n "${UNSLOTH_API_KEY:-}" ]; then + grep -rlF "$UNSLOTH_API_KEY" logs redacted-configs agent-workdir 2>/dev/null | while IFS= read -r f; do + sed -i "s#${UNSLOTH_API_KEY}##g" "$f" 2>/dev/null || true + done + fi + + - name: Stop Unsloth + if: always() + run: | + if [ -n "${UNSLOTH_SERVER_PID:-}" ] && [ "${UNSLOTH_SERVER_PID}" != "0" ]; then + kill "${UNSLOTH_SERVER_PID}" 2>/dev/null || true + fi + sleep 2 + ss -tln 2>/dev/null | grep ":${STUDIO_PORT}" || true + + - name: Upload logs + if: always() + continue-on-error: true + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: resume-${{ matrix.agent }}-log + path: | + logs/ + agent-workdir/ + redacted-configs/ + retention-days: 7 + + # ═════════════════════════════════════════════════════════════════════ + # Job 3: prompt-cache + # (a) curl 2-turn /v1/chat/completions: assert turn-2 cached_tokens > 0 + # (server prompt-cache sanity). + # (b) Claude Code attribution A/B: with CLAUDE_CODE_ATTRIBUTION_HEADER=0 + # expect a llama-server KV-cache HIT on turn 2; without it expect a + # MISS. If it inverts, the guide flag is stale. + # PR + weekly + dispatch (cheap, gemma-3-270m). + # ═════════════════════════════════════════════════════════════════════ + prompt-cache: + name: prompt-cache (gemma-3-270m) + runs-on: ubuntu-latest + timeout-minutes: 25 + env: + GGUF_REPO: unsloth/gemma-3-270m-it-GGUF + GGUF_VARIANT: UD-Q4_K_XL + GGUF_FILE: gemma-3-270m-it-UD-Q4_K_XL.gguf + STUDIO_PORT: '18903' + HF_HOME: ${{ github.workspace }}/hf-cache + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Linux deps for llama.cpp prebuilt + run: | + sudo apt-get update + sudo apt-get install -y --no-install-recommends \ + libcurl4-openssl-dev libssl-dev jq + + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 + with: + node-version: '22' + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + + - name: Restore HF_HOME for ${{ env.GGUF_REPO }} + id: cache-hf + uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + continue-on-error: true + with: + path: hf-cache + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 + + - name: Prime HF_HOME with the GGUF + id: prime-hf + if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' + env: + # Gated off PR (see note above); public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + python -m pip install --upgrade huggingface_hub + mkdir -p hf-cache + bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + + - name: Save HF_HOME for ${{ env.GGUF_REPO }} + if: always() && steps.prime-hf.outcome == 'success' + uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + with: + path: hf-cache + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 + + - name: Install Unsloth (--local, --no-torch) + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Gated off PR (see note above); public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + mkdir -p logs + set -o pipefail + bash install.sh --local --no-torch 2>&1 | tee logs/install.log + + - name: Serve unsloth run --disable-tools (gemma-3-270m) + run: | + unsloth studio reset-password + bash .github/scripts/serve-unsloth-run.sh \ + --model "$GGUF_REPO" --gguf-variant "$GGUF_VARIANT" \ + --port "$STUDIO_PORT" --log-dir logs \ + --extra "--seed $UNSLOTH_SEED --temp 0" + + # (a) server prompt-cache sanity on the OpenAI chat path. The helper runs + # the 2-turn probe internally (turn 2 reuses turn 1's prefix) and asserts + # turn-2 usage.prompt_tokens_details.cached_tokens > 0. This is the hard + # gate -- it proves llama.cpp KV reuse is surfaced on /v1/chat/completions. + - name: Server prompt-cache sanity (cached_tokens > 0) + run: bash .github/scripts/assert-prompt-cache.sh api "$UNSLOTH_BASE_URL" "$UNSLOTH_API_KEY" + + - name: Install Claude Code (class-b isolation) + env: + AGENT: claude + run: bash .github/scripts/agent-guides-install.sh claude + + # (b) Claude attribution A/B against the llama-server log. This is the most + # environment-sensitive check (it depends on the bundled llama.cpp's + # slot-reuse log wording and on claude --continue reusing the prefix), so + # it is non-blocking until calibrated on the first scheduled run; the + # server cache sanity above is the hard gate. The step still prints the + # observed HIT/MISS so drift is visible in the log + artifacts. + - name: Claude attribution A/B (HIT with header=0, MISS without) + continue-on-error: true + run: bash .github/scripts/agent-guides-drive.sh attribution-ab claude + + - name: Collect server logs (debug) + if: always() + run: | + mkdir -p logs/studio-logs + cp -r "$HOME/.unsloth/studio/logs/." logs/studio-logs/ 2>/dev/null || true + # Redact the key across the WHOLE logs/ tree, not just studio-logs: + # serve-unsloth-run.sh records the `unsloth run` banner (which prints + # `API Key: `) into logs/unsloth-run-.log, and the upload + # step publishes all of logs/, so scrubbing only studio-logs would leak + # the bearer token in the retained artifact. + # Sweep EVERY uploaded path, not just logs/ -- redacted-configs/ and + # agent-workdir/ are published by the same upload step. + if [ -n "${UNSLOTH_API_KEY:-}" ]; then + grep -rlF "$UNSLOTH_API_KEY" logs redacted-configs agent-workdir 2>/dev/null | while IFS= read -r f; do + sed -i "s#${UNSLOTH_API_KEY}##g" "$f" 2>/dev/null || true + done + fi + + - name: Stop Unsloth + if: always() + run: | + # Guard the PID: an unset/zero UNSLOTH_SERVER_PID would make + # `kill 0` signal this step's whole process group and abort cleanup. + if [ -n "${UNSLOTH_SERVER_PID:-}" ] && [ "${UNSLOTH_SERVER_PID}" != "0" ]; then + kill "${UNSLOTH_SERVER_PID}" 2>/dev/null || true + fi + sleep 2 + ss -tln 2>/dev/null | grep ":${STUDIO_PORT}" || true + + - name: Upload logs + if: always() + continue-on-error: true + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: prompt-cache-log + path: | + logs/ + redacted-configs/ + retention-days: 7 diff --git a/.github/workflows/lockfile-audit.yml b/.github/workflows/lockfile-audit.yml new file mode 100644 index 0000000000..aaf258d615 --- /dev/null +++ b/.github/workflows/lockfile-audit.yml @@ -0,0 +1,79 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Fast, focused supply-chain audit of every checked-in lockfile. +# +# Runs scripts/lockfile_supply_chain_audit.py on PRs that touch any +# npm or cargo lockfile, on push to main, and on a daily schedule so +# newly-published IOCs surface even when no PR opens. +# +# Default behavior is "advisory": only public indicator-of-compromise +# strings, known-malicious pinned versions, and structurally broken +# lockfiles fail the build. Structural anomalies (missing integrity, +# non-default registry, etc.) are emitted as GitHub Actions warnings +# but do not block merges. This deliberately keeps the noise floor +# low while still failing the moment a checked-in lockfile starts +# pointing at known-bad bytes. +# +# This workflow is intentionally separate from security-audit.yml: +# - security-audit.yml is the umbrella job (pip-audit + npm audit + +# cargo audit + OSV + Semgrep + secret scanning + SBOM + ...); +# it takes ~25 minutes and runs only when dep manifests change. +# - lockfile-audit.yml is a ~30 second pure-Python parse + grep on +# the lockfiles themselves; it runs on every PR that even nudges +# a lockfile so reviewers always see the audit result inline. + +name: Lockfile supply-chain audit + +on: + pull_request: + paths: + - 'studio/frontend/package-lock.json' + - 'studio/backend/core/data_recipe/oxc-validator/package-lock.json' + - 'studio/package-lock.json' + - 'studio/src-tauri/Cargo.lock' + - 'scripts/lockfile_supply_chain_audit.py' + - '.github/workflows/lockfile-audit.yml' + push: + branches: [main] + paths: + - 'studio/frontend/package-lock.json' + - 'studio/backend/core/data_recipe/oxc-validator/package-lock.json' + - 'studio/package-lock.json' + - 'studio/src-tauri/Cargo.lock' + - 'scripts/lockfile_supply_chain_audit.py' + - '.github/workflows/lockfile-audit.yml' + schedule: + - cron: '37 5 * * *' + workflow_dispatch: + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + audit: + name: lockfile supply-chain audit + runs-on: ubuntu-latest + timeout-minutes: 5 + steps: + - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0 + with: + persist-credentials: false + + - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6.3.0 + with: + python-version: '3.12' + + - name: Verify audit script parses + run: python3 -c "import ast; ast.parse(open('scripts/lockfile_supply_chain_audit.py').read())" + + - name: Run lockfile supply-chain audit + # Default mode: only known-malicious pinned versions, known IOC + # strings, and structurally broken lockfiles fail the build. + # Missing-integrity and other structural anomalies are emitted + # as ::warning:: annotations and do not gate merges. + run: python3 scripts/lockfile_supply_chain_audit.py diff --git a/.github/workflows/mlx-ci.yml b/.github/workflows/mlx-ci.yml index 75940832a0..aadf0b54e6 100644 --- a/.github/workflows/mlx-ci.yml +++ b/.github/workflows/mlx-ci.yml @@ -130,7 +130,7 @@ jobs: # MLX support landed after the most recent unsloth-zoo PyPI # release; the wheel still raises NotImplementedError on # Apple Silicon when device_type.get_device_type() runs - # unguarded. Studio's own install.sh overlays unsloth-zoo + # unguarded. Unsloth's own install.sh overlays unsloth-zoo # from git main for the same reason. Pulling deps lets pip # resolve the platform-conditional MLX-only wheels (mlx, # mlx-lm, mlx-vlm gated on darwin+arm64 in unsloth-zoo's @@ -163,7 +163,7 @@ jobs: 'pytest==9.0.3' \ 'pytest-asyncio==1.3.0' \ 'httpx==0.28.1' - pip install --index-url https://download.pytorch.org/whl/cpu \ + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ 'torch==2.10.0' # github.com occasionally 500s on the git fetch; retry the # zoo install so a single upstream blip does not fail CI. @@ -231,125 +231,6 @@ jobs: tests/studio/test_is_mlx_dispatch_gate.py \ tests/studio/test_mlx_training_worker_behaviors.py - # Studio prebuilt llama.cpp install + GGUF inference. Drives the - # exact path Studio's setup.sh takes on macOS: invokes - # studio/install_llama_prebuilt.py with --published-repo - # ggml-org/llama.cpp and --published-release-tag b9049 (the - # latest llama.cpp release at the time this step was added; bump - # via UNSLOTH_LLAMA_TAG / DEFAULT_LLAMA_TAG when refreshing). - # The installer downloads llama-b9049-bin-macos-arm64.tar.gz, - # which is the universal Apple Silicon (arm64) build -- the - # same artifact works on M1/M2/M3/M4 because llama.cpp compiles - # against the ARMv8.2 baseline. - # - # The b9049 release also publishes: - # - llama-b9049-bin-macos-arm64-kleidiai.tar.gz - # KleidiAI dispatches at runtime; on M1 it falls back where - # ISA features (e.g. I8MM) are missing, so this asset also - # runs on M1 -- Studio just doesn't choose it by default. - # - llama-b9049-bin-macos-x64.tar.gz - # Intel-only; would only run on M1 via Rosetta 2 emulation, - # which we explicitly avoid. - # - iOS XCFramework - # iOS-app build artifact, unrelated to a macOS desktop CI. - # - # After install, downloads a small published GGUF - # (unsloth/gemma-3-270m-it-GGUF, Q4_K_M) from HuggingFace and - # runs the prebuilt llama-cli on it. Asserts the prompt echo - # appears in stdout. If the install fails OR the binary exits - # non-zero, that's an Unsloth/Studio bug. - - name: Studio prebuilt llama.cpp install + GGUF inference (Mac M1) - env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} - # install_llama_prebuilt.py hits the GitHub releases API to - # resolve the asset URL. Anonymous calls share the runner-IP - # rate-limit bucket and 403 quickly -- pass the workflow's - # automatic GITHUB_TOKEN to bump us to the 5000/hr authenticated - # bucket. - GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - run: | - set -euo pipefail - INSTALL_DIR="$HOME/.unsloth-studio-prebuilt-test/llama.cpp" - rm -rf "$INSTALL_DIR" - # --simple-policy is required when --published-repo points - # at upstream ggml-org/llama.cpp; that repo doesn't ship the - # llama-prebuilt-manifest.json asset Studio's default policy - # expects, so the simple platform-specific policy maps - # Darwin+arm64 -> bin-macos-arm64 directly. studio/setup.sh - # passes both --published-repo ggml-org/llama.cpp AND - # --simple-policy automatically on macOS, so this CI step - # exercises the same code path users hit when they run - # `curl -fsSL https://unsloth.ai/install.sh | sh`. - python studio/install_llama_prebuilt.py \ - --install-dir "$INSTALL_DIR" \ - --published-repo ggml-org/llama.cpp \ - --published-release-tag b9049 \ - --simple-policy - - # Studio bundles only llama-server + llama-quantize from the - # prebuilt (not llama-cli) -- inference goes through - # llama-server's HTTP /completion endpoint. Validate both: - # llama-quantize --help proves the dynamic libs link, then - # spin up llama-server and POST a /completion request on a - # tiny published GGUF. - LLAMA_SERVER="$INSTALL_DIR/build/bin/llama-server" - LLAMA_QUANT="$INSTALL_DIR/build/bin/llama-quantize" - [ -x "$LLAMA_SERVER" ] || { echo "::error::llama-server missing at $LLAMA_SERVER"; find "$INSTALL_DIR/build" -type f | head -40; exit 1; } - [ -x "$LLAMA_QUANT" ] || { echo "::error::llama-quantize missing at $LLAMA_QUANT"; exit 1; } - echo "llama-server : $LLAMA_SERVER" - echo "llama-quantize: $LLAMA_QUANT" - "$LLAMA_QUANT" --help >/dev/null && echo " llama-quantize loads OK" - - mkdir -p /tmp/ggufs - bash .github/scripts/hf-download-with-retry.sh \ - 'unsloth/gemma-3-270m-it-GGUF' \ - 'gemma-3-270m-it-Q4_K_M.gguf' \ - /tmp/ggufs - - PORT=18080 - echo "=== starting llama-server on 127.0.0.1:$PORT ===" - "$LLAMA_SERVER" \ - -m /tmp/ggufs/gemma-3-270m-it-Q4_K_M.gguf \ - --host 127.0.0.1 \ - --port "$PORT" \ - -c 256 \ - -n 16 \ - --no-warmup \ - > /tmp/llama-server.log 2>&1 & - SERVER_PID=$! - trap 'kill "$SERVER_PID" 2>/dev/null || true' EXIT - - # Wait for /health to come up - for i in $(seq 1 30); do - if curl -sf "http://127.0.0.1:$PORT/health" >/dev/null 2>&1; then - echo " server up after ${i}s" - break - fi - sleep 1 - done - if ! curl -sf "http://127.0.0.1:$PORT/health" >/dev/null 2>&1; then - echo "::error::llama-server never became healthy" - tail -40 /tmp/llama-server.log - exit 1 - fi - - PROMPT="Hello, my name is" - echo "=== POST /completion ===" - RESP=$(curl -sf -X POST "http://127.0.0.1:$PORT/completion" \ - -H 'Content-Type: application/json' \ - -d "{\"prompt\":\"$PROMPT\",\"n_predict\":16,\"temperature\":0,\"seed\":3407}") - echo "raw response (head): $(echo "$RESP" | head -c 600)" - CONTENT=$(echo "$RESP" | python -c "import json,sys; print(json.loads(sys.stdin.read()).get('content',''))") - echo "completion content: $CONTENT" - - if [ -z "$CONTENT" ]; then - echo "::error::llama-server /completion returned empty content" - tail -40 /tmp/llama-server.log - exit 1 - fi - echo "OK: Studio prebuilt llama.cpp on Mac M1 + GGUF /completion works" - # Real MLX training + inference smoke test. Trains # unsloth/gemma-3-270m-it for 7 deterministic LoRA steps # (batch_size=2, gradient_accumulation_steps=3) on a single @@ -359,10 +240,14 @@ jobs: # train_metrics.json so we can detect regressions across CI runs. - name: MLX export round-trip — TRAIN + SAVE 3 formats env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} UNSLOTH_COMPILE_DISABLE: '1' run: | mkdir -p mlx_workdir + # Authenticate llama.cpp's release-API lookup (anonymous 403s on rate-limit); + # read-only GITHUB_TOKEN scoped here only, never to steps that run binaries. + GH_TOKEN="${{ secrets.GITHUB_TOKEN }}" GITHUB_TOKEN="${{ secrets.GITHUB_TOKEN }}" \ python tests/studio/run_real_mlx_smoke.py train \ --workdir "$PWD/mlx_workdir" @@ -375,7 +260,8 @@ jobs: # the saved dir. - name: MLX export round-trip — RELOAD LoRA (fresh process) env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} UNSLOTH_COMPILE_DISABLE: '1' run: | python tests/studio/run_real_mlx_smoke.py reload \ @@ -384,7 +270,8 @@ jobs: - name: MLX export round-trip — RELOAD merged_16bit (fresh process) env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} UNSLOTH_COMPILE_DISABLE: '1' run: | python tests/studio/run_real_mlx_smoke.py reload \ @@ -399,7 +286,8 @@ jobs: # LoRA + merged_16bit assertions remain the gating signal. - name: MLX export round-trip — RELOAD GGUF via llama-cli (fresh process) env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | if python -c "import json,sys; m=json.load(open('mlx_workdir/train_metrics.json')); sys.exit(0 if m.get('gguf_supported') else 1)"; then python tests/studio/run_real_mlx_smoke.py reload \ @@ -428,3 +316,88 @@ jobs: cat "$f" 2>/dev/null || echo "(missing)" echo done + + # Validates the macOS prebuilt path Unsloth's setup.sh uses (#5963): install the + # unslothai/llama.cpp fork's latest release, download a small public GGUF, and + # check llama-server /completion end to end. Split and placed last so the + # untrusted binary runs only in the final smoke step, after every HF_TOKEN step, + # leaving no token-bearing step or shared workspace for a tampered prebuilt to + # corrupt. GH_TOKEN: releases API; HF_TOKEN (withheld on PR): probe + GGUF fetch. + - name: Unsloth prebuilt llama.cpp install + GGUF download (Mac M1) + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + set -euo pipefail + INSTALL_DIR="$HOME/.unsloth-studio-prebuilt-test/llama.cpp" + rm -rf "$INSTALL_DIR" + # Download only -- no llama-quantize / llama-server launch in this step. + python studio/install_llama_prebuilt.py \ + --install-dir "$INSTALL_DIR" \ + --published-repo unslothai/llama.cpp + mkdir -p /tmp/ggufs + bash .github/scripts/hf-download-with-retry.sh \ + 'unsloth/gemma-3-270m-it-GGUF' \ + 'gemma-3-270m-it-Q4_K_M.gguf' \ + /tmp/ggufs + + # Final step: runs the downloaded binaries with no secrets present, and clears + # the GitHub Actions command files so a tampered prebuilt cannot influence the job. + - name: Unsloth prebuilt llama.cpp GGUF inference smoke (Mac M1) + run: | + set -euo pipefail + unset GITHUB_ENV GITHUB_PATH GITHUB_OUTPUT GITHUB_STEP_SUMMARY + INSTALL_DIR="$HOME/.unsloth-studio-prebuilt-test/llama.cpp" + # Unsloth bundles only llama-server + llama-quantize (not llama-cli); + # inference goes through llama-server's HTTP /completion endpoint. + LLAMA_SERVER="$INSTALL_DIR/build/bin/llama-server" + LLAMA_QUANT="$INSTALL_DIR/build/bin/llama-quantize" + [ -x "$LLAMA_SERVER" ] || { echo "::error::llama-server missing at $LLAMA_SERVER"; find "$INSTALL_DIR/build" -type f | head -40; exit 1; } + [ -x "$LLAMA_QUANT" ] || { echo "::error::llama-quantize missing at $LLAMA_QUANT"; exit 1; } + echo "llama-server : $LLAMA_SERVER" + echo "llama-quantize: $LLAMA_QUANT" + "$LLAMA_QUANT" --help >/dev/null && echo " llama-quantize loads OK" + + PORT=18080 + echo "=== starting llama-server on 127.0.0.1:$PORT ===" + "$LLAMA_SERVER" \ + -m /tmp/ggufs/gemma-3-270m-it-Q4_K_M.gguf \ + --host 127.0.0.1 \ + --port "$PORT" \ + -c 256 \ + -n 16 \ + --no-warmup \ + > /tmp/llama-server.log 2>&1 & + SERVER_PID=$! + trap 'kill "$SERVER_PID" 2>/dev/null || true' EXIT + + # Wait for /health to come up + for i in $(seq 1 30); do + if curl -sf "http://127.0.0.1:$PORT/health" >/dev/null 2>&1; then + echo " server up after ${i}s" + break + fi + sleep 1 + done + if ! curl -sf "http://127.0.0.1:$PORT/health" >/dev/null 2>&1; then + echo "::error::llama-server never became healthy" + tail -40 /tmp/llama-server.log + exit 1 + fi + + PROMPT="Hello, my name is" + echo "=== POST /completion ===" + RESP=$(curl -sf -X POST "http://127.0.0.1:$PORT/completion" \ + -H 'Content-Type: application/json' \ + -d "{\"prompt\":\"$PROMPT\",\"n_predict\":16,\"temperature\":0,\"seed\":3407}") + echo "raw response (head): $(echo "$RESP" | head -c 600)" + CONTENT=$(echo "$RESP" | python -c "import json,sys; print(json.loads(sys.stdin.read()).get('content',''))") + echo "completion content: $CONTENT" + + if [ -z "$CONTENT" ]; then + echo "::error::llama-server /completion returned empty content" + tail -40 /tmp/llama-server.log + exit 1 + fi + echo "OK: Unsloth prebuilt llama.cpp on Mac M1 + GGUF /completion works" diff --git a/.github/workflows/notebooks-ci.yml b/.github/workflows/notebooks-ci.yml index 673b2f3cc5..0e0b35dd4d 100644 --- a/.github/workflows/notebooks-ci.yml +++ b/.github/workflows/notebooks-ci.yml @@ -263,7 +263,7 @@ jobs: # unsloth_zoo.vision_utils imports PIL at module top, and the # easiest way to get a torch-compatible PIL on a CPU runner is # to let torchvision pull the right Pillow version. - pip install --index-url https://download.pytorch.org/whl/cpu \ + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ 'torch>=2.8,<2.11' 'torchvision<0.26' # Pin to the same versions update_all_notebooks.py installs in # generated notebooks. Keep these in lockstep with PIN_TRL / @@ -285,7 +285,15 @@ jobs: # The PR-time CI must validate the code in this PR; PyPI unsloth # may lag the in-repo CPU-torch fallback in unsloth/kernels/utils.py # (lines 162-170) that handles missing torch._C._cuda_getCurrentRawStream. - pip install --no-deps unsloth_zoo + # unsloth_zoo from git main mirrors every other CI (Core / MLX / + # install.sh) so PR-time validation sees the same zoo HEAD. + for attempt in 1 2 3; do + if pip install --no-deps "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo"; then + break + fi + [ "$attempt" -eq 3 ] && { echo "::error::unsloth_zoo install failed after 3 attempts"; exit 1; } + sleep $((5 * attempt)) + done pip install --no-deps -e ./unsloth - name: Convert notebooks for AST scan diff --git a/.github/workflows/ossf.yml b/.github/workflows/ossf.yml new file mode 100644 index 0000000000..f9a270540f --- /dev/null +++ b/.github/workflows/ossf.yml @@ -0,0 +1,78 @@ +# This workflow uses actions that are not certified by GitHub. They are provided +# by a third-party and are governed by separate terms of service, privacy +# policy, and support documentation. + +name: Scorecard supply-chain security +on: + # For Branch-Protection check. Only the default branch is supported. See + # https://github.com/ossf/scorecard/blob/main/docs/checks.md#branch-protection + branch_protection_rule: + # To guarantee Maintained check is occasionally updated. See + # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained + schedule: + - cron: '21 20 * * 0' + push: + branches: [ "main" ] + +# Declare default permissions as read only. +permissions: read-all + +jobs: + analysis: + name: Scorecard analysis + runs-on: ubuntu-latest + # `publish_results: true` only works when run from the default branch. conditional can be removed if disabled. + if: github.event.repository.default_branch == github.ref_name || github.event_name == 'pull_request' + permissions: + # Needed to upload the results to code-scanning dashboard. + security-events: write + # Needed to publish results and get a badge (see publish_results below). + id-token: write + # Uncomment the permissions below if installing in a private repository. + # contents: read + # actions: read + + steps: + - name: "Checkout code" + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + persist-credentials: false + + - name: "Run analysis" + uses: ossf/scorecard-action@f49aabe0b5af0936a0987cfb85d86b75731b0186 # v2.4.1 + with: + results_file: results.sarif + results_format: sarif + # (Optional) "write" PAT token. Uncomment the `repo_token` line below if: + # - you want to enable the Branch-Protection check on a *public* repository, or + # - you are installing Scorecard on a *private* repository + # To create the PAT, follow the steps in https://github.com/ossf/scorecard-action?tab=readme-ov-file#authentication-with-fine-grained-pat-optional. + # repo_token: ${{ secrets.SCORECARD_TOKEN }} + + # Public repositories: + # - Publish results to OpenSSF REST API for easy access by consumers + # - Allows the repository to include the Scorecard badge. + # - See https://github.com/ossf/scorecard-action#publishing-results. + # For private repositories: + # - `publish_results` will always be set to `false`, regardless + # of the value entered here. + publish_results: true + + # (Optional) Uncomment file_mode if you have a .gitattributes with files marked export-ignore + # file_mode: git + + # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF + # format to the repository Actions tab. + - name: "Upload artifact" + uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1 + with: + name: SARIF file + path: results.sarif + retention-days: 5 + + # Upload the results to GitHub's code scanning dashboard (optional). + # Commenting out will disable upload of results to your repo's Code Scanning dashboard + - name: "Upload to code-scanning" + uses: github/codeql-action/upload-sarif@v3 + with: + sarif_file: results.sarif diff --git a/.github/workflows/release-desktop.yml b/.github/workflows/release-desktop.yml index 810bb644ba..081eda4e32 100644 --- a/.github/workflows/release-desktop.yml +++ b/.github/workflows/release-desktop.yml @@ -4,7 +4,7 @@ on: workflow_dispatch: inputs: studio_version: - description: 'Studio version tag to release (for example, v0.1.39-beta)' + description: 'Unsloth version tag to release (for example, v0.1.39-beta)' type: string required: true pypi_version: @@ -19,6 +19,19 @@ on: permissions: contents: read +env: + DESKTOP_RELEASE_NOTES: | + Desktop app for Unsloth Studio. + + **macOS**: Download the Apple Silicon `.dmg`. + **Windows**: Download the `-setup.exe` installer. + **Linux**: Download `.deb` for Ubuntu/Debian. `.AppImage` is experimental. + + > Linux in-app updates are AppImage-oriented. Package installs should update by downloading a new package. + > Linux AppImage can show a blank window on some Tauri/WebKitGTK + Wayland/Mesa stacks; use `.deb` when available. + > Linux AppImage on Ubuntu 24.04+ may require: `sudo apt install libfuse2t64` + > First-run system dependency elevation is supported on Ubuntu/Debian. Other Linux distributions should install system packages manually. + concurrency: group: release-desktop-${{ github.repository }} cancel-in-progress: false @@ -56,7 +69,7 @@ jobs: if not studio_version: sys.exit('studio_version is required, for example v0.1.39-beta') if re.fullmatch(r'v?20\d{2}\.\d+\.\d+(?:[-+][0-9A-Za-z.-]+)?', studio_version): - sys.exit(f'studio_version must be a Studio SemVer tag, not a date-style backend version: {studio_version}') + sys.exit(f'studio_version must be an Unsloth SemVer tag, not a date-style backend version: {studio_version}') semver_tag = re.compile( r'^v(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)' @@ -133,7 +146,7 @@ jobs: print(f'pypi_version={pypi_version}', file=output) PY - - name: Verify PyPI package and Studio stamp + - name: Verify PyPI package and Unsloth stamp shell: bash env: STUDIO_VERSION: ${{ steps.prepare.outputs.studio_version }} @@ -198,7 +211,7 @@ jobs: fi python3 scripts/stamp_studio_release.py --verify-dist "$RUNNER_TEMP/pypi-unsloth-dist" --expected "$STUDIO_VERSION" else - echo "scripts/stamp_studio_release.py not found; release-desktop requires #5308 to verify the PyPI Studio stamp." >&2 + echo "scripts/stamp_studio_release.py not found; release-desktop requires #5308 to verify the PyPI Unsloth stamp." >&2 exit 1 fi @@ -295,14 +308,6 @@ jobs: PY build: - # TODO: split into a "build (no secrets)" + "publish (secrets)" job pair - # with actions/upload-artifact handoff so the matrix build cannot - # publish a Release on its own. The current matrix runs across - # Linux/macOS/Windows in a single job, so the split needs artefact - # collection across the OS matrix and is out of scope for this - # hardening pass. - permissions: - contents: write # tauri-apps/tauri-action creates / uploads a GitHub Release strategy: fail-fast: false max-parallel: 1 @@ -311,15 +316,21 @@ jobs: - platform: macos-latest args: '--target aarch64-apple-darwin' label: macOS (Apple Silicon) + artifact: macos-aarch64 + release_arch: aarch64 # - platform: macos-latest # args: '--target x86_64-apple-darwin' # label: macOS (Intel) - platform: ubuntu-22.04 args: '' label: Linux (x64) + artifact: linux-x64 + release_arch: x64 - platform: windows-latest args: '' label: Windows (x64) + artifact: windows-x64 + release_arch: x64 name: Build ${{ matrix.label }} needs: prepare-version @@ -353,7 +364,7 @@ jobs: if: matrix.platform == 'ubuntu-22.04' run: | sudo apt-get update - sudo apt-get install -y libwebkit2gtk-4.1-dev libayatana-appindicator3-dev librsvg2-dev libxdo-dev libssl-dev patchelf + sudo apt-get install -y libwebkit2gtk-4.1-dev libappindicator3-dev librsvg2-dev libxdo-dev libssl-dev patchelf # ── Node.js ── - name: Setup Node.js @@ -406,39 +417,78 @@ jobs: if (config.bundle?.linux?.rpm) { throw new Error('bundle.linux.rpm must not be configured'); } + if (config.bundle?.linux?.appimage?.bundleMediaFramework !== false) { + throw new Error('Linux AppImage bundleMediaFramework must stay false'); + } const workflow = readFileSync('.github/workflows/release-desktop.yml', 'utf8'); const lines = workflow.split(/\r?\n/); - const releaseBodies = []; - for (let i = 0; i < lines.length; i += 1) { - const match = lines[i].match(/^(\s*)releaseBody:\s*\|\s*$/); - if (!match) continue; - const baseIndent = match[1].length; - const bodyLines = []; - i += 1; - for (; i < lines.length; i += 1) { - const line = lines[i]; - if (line.trim() === '') { - bodyLines.push(''); - continue; - } - const indent = line.match(/^\s*/)[0].length; - if (indent <= baseIndent) { - i -= 1; - break; - } - bodyLines.push(line.slice(baseIndent + 2)); - } - releaseBodies.push(bodyLines.join('\n')); + const linuxInstallLines = lines.filter((line) => line.includes('sudo apt-get install')); + const ayatanaPackage = ['libayatana', 'appindicator3-dev'].join('-'); + if (linuxInstallLines.some((line) => line.includes(ayatanaPackage))) { + throw new Error('Desktop Linux release must not install the Ayatana appindicator dev package'); + } + if (!linuxInstallLines.some((line) => line.includes('libappindicator3-dev'))) { + throw new Error('Desktop Linux release must install libappindicator3-dev'); + } + const linuxdeployLines = lines.filter((line) => line.includes('github.com/linuxdeploy/linuxdeploy/releases/download')); + if (!linuxdeployLines.some((line) => line.includes('1-alpha-20250213-2/linuxdeploy-x86_64.AppImage'))) { + throw new Error('Desktop Linux release must pin linuxdeploy 1-alpha-20250213-2'); } - if (releaseBodies.length === 0) { - throw new Error('Expected at least one desktop release body'); + // A pinned version/path is reproducibility, not integrity: the asset + // can be replaced after upload. Require the immutable SHA-256 digest + // to be pinned AND verified before chmod +x. Scope every check to the + // real "Pin linuxdeploy for AppImage" step so this guard cannot + // satisfy itself; a file-wide scan would match the guard's own code. + const expectedLinuxdeployDigest = '4648f278ab3ef31f819e67c30d50f462640e5365a77637d7e6f2ad9fd0b4522a'; + const isComment = (line) => { + const trimmed = line.trim(); + return trimmed.startsWith('#') || trimmed.startsWith('//'); + }; + const stepStart = lines.findIndex((line) => /^\s*- name: Pin linuxdeploy for AppImage\s*$/.test(line)); + if (stepStart === -1) { + throw new Error('Desktop Linux release must keep the "Pin linuxdeploy for AppImage" step'); } - for (const body of releaseBodies) { - if (/\brpm\b|\.rpm/i.test(body)) { - throw new Error('Desktop release body must not advertise RPM packages'); + const stepIndent = lines[stepStart].search(/\S/); + let stepEnd = lines.length; + for (let i = stepStart + 1; i < lines.length; i += 1) { + const line = lines[i]; + if (line.trim() === '') continue; + const indent = line.search(/\S/); + // The next sibling step ('- ...') at the same indent, or any dedent + // below the step, ends this step's block. + if (indent < stepIndent || (indent === stepIndent && /^\s*-\s/.test(line))) { + stepEnd = i; + break; } } + const stepLines = lines.slice(stepStart, stepEnd); + const digestEnvRe = /^\s*LINUXDEPLOY_SHA256:\s*["']([0-9a-f]{64})["']\s*$/; + const digestEnvLine = stepLines.find((line) => digestEnvRe.test(line)); + if (!digestEnvLine || digestEnvLine.match(digestEnvRe)[1] !== expectedLinuxdeployDigest) { + throw new Error('Desktop Linux release must pin the linuxdeploy SHA-256 digest in the LINUXDEPLOY_SHA256 env'); + } + const sha256Idx = stepLines.findIndex((line) => !isComment(line) && line.includes('sha256sum -c')); + if (sha256Idx === -1) { + throw new Error('Desktop Linux release must verify the linuxdeploy digest with sha256sum -c before use'); + } + const chmodIdx = stepLines.findIndex((line) => !isComment(line) && /chmod\s+\+x/.test(line)); + if (chmodIdx !== -1 && sha256Idx > chmodIdx) { + throw new Error('Desktop Linux release must verify the linuxdeploy digest before chmod +x'); + } + const releaseBody = process.env.DESKTOP_RELEASE_NOTES; + if (!releaseBody) { + throw new Error('DESKTOP_RELEASE_NOTES must not be empty'); + } + if (/\brpm\b|\.rpm/i.test(releaseBody)) { + throw new Error('Desktop release body must not advertise RPM packages'); + } + if (/AppImage.*universal|universal.*AppImage/i.test(releaseBody)) { + throw new Error('Desktop release body must not advertise AppImage as universal'); + } + if (!/AppImage.*experimental/i.test(releaseBody)) { + throw new Error('Desktop release body must mark AppImage as experimental'); + } JS - name: Install frontend dependencies @@ -551,7 +601,7 @@ jobs: - name: Install trusted-signing-cli if: matrix.platform == 'windows-latest' run: | - cargo install trusted-signing-cli --version 0.9.0 --locked + cargo install trusted-signing-cli --version 0.10.0 --locked echo "$env:USERPROFILE\.cargo\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append # ── Windows: verify signing CLI is accessible ── @@ -562,39 +612,53 @@ jobs: Get-Command trusted-signing-cli -ErrorAction SilentlyContinue || Write-Output "trusted-signing-cli NOT in PATH" trusted-signing-cli --version || Write-Output "trusted-signing-cli failed to run" - # ── Linux: build + sign + upload ── + # ── Linux: pin AppImage packaging toolchain ── + - name: Pin linuxdeploy for AppImage + if: matrix.platform == 'ubuntu-22.04' + shell: bash + env: + # Pinning the versioned release path is reproducibility, not + # integrity: a GitHub release asset can be replaced (or its delivery + # path compromised) after upload. The SHA-256 below is the immutable + # digest of this exact asset and is the integrity gate. If linuxdeploy + # publishes a new build under this tag, this run fails closed and the + # digest must be re-pinned deliberately. + LINUXDEPLOY_URL: "https://github.com/linuxdeploy/linuxdeploy/releases/download/1-alpha-20250213-2/linuxdeploy-x86_64.AppImage" + LINUXDEPLOY_SHA256: "4648f278ab3ef31f819e67c30d50f462640e5365a77637d7e6f2ad9fd0b4522a" + run: | + set -euo pipefail + tools_dir="$RUNNER_TEMP/tauri-tools-cache/tauri" + mkdir -p "$tools_dir" + dest="$tools_dir/linuxdeploy-x86_64.AppImage" + curl -fsSL "$LINUXDEPLOY_URL" -o "$dest" + # Verify the digest BEFORE the binary is ever marked executable. The + # next step builds the AppImage with the Tauri signing key, so a + # substituted linuxdeploy that ran here could exfiltrate signing + # material or tamper with release artifacts. Fail closed on any + # mismatch. + echo "${LINUXDEPLOY_SHA256} ${dest}" | sha256sum -c - + chmod +x "$dest" + + # ── Linux: build + sign ── - name: Build Linux app + id: build_linux if: matrix.platform == 'ubuntu-22.04' uses: tauri-apps/tauri-action@84b9d35b5fc46c1e45415bdb6144030364f7ebc5 env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }} TAURI_SIGNING_PRIVATE_KEY_PASSWORD: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY_PASSWORD }} + XDG_CACHE_HOME: ${{ runner.temp }}/tauri-tools-cache with: projectPath: studio tauriScript: npx --prefix . tauri - tagName: ${{ needs.prepare-version.outputs.desktop_release_tag }} - releaseName: 'Unsloth Studio (Desktop) ${{ needs.prepare-version.outputs.studio_version }}' - releaseBody: | - Desktop app for Unsloth Studio. - - **macOS**: Download the Apple Silicon `.dmg`. - **Windows**: Download the `-setup.exe` installer. - **Linux**: Download `.deb` (Ubuntu/Debian) or `.AppImage` (universal). - - > Linux in-app updates are AppImage-oriented. Package installs should update by downloading a new package. - > Linux AppImage on Ubuntu 24.04+ may require: `sudo apt install libfuse2t64` - > First-run system dependency elevation is supported on Ubuntu/Debian. Other Linux distributions should install system packages manually. - releaseDraft: ${{ inputs.draft }} - prerelease: ${{ needs.prepare-version.outputs.prerelease }} args: -v ${{ matrix.args }} - # ── macOS: build + sign + notarize + upload ── + # ── macOS: build + sign + notarize ── - name: Build macOS app + id: build_macos if: matrix.platform == 'macos-latest' uses: tauri-apps/tauri-action@84b9d35b5fc46c1e45415bdb6144030364f7ebc5 env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }} TAURI_SIGNING_PRIVATE_KEY_PASSWORD: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY_PASSWORD }} APPLE_SIGNING_IDENTITY: ${{ secrets.APPLE_SIGNING_IDENTITY }} @@ -604,28 +668,14 @@ jobs: with: projectPath: studio tauriScript: npx --prefix . tauri - tagName: ${{ needs.prepare-version.outputs.desktop_release_tag }} - releaseName: 'Unsloth Studio (Desktop) ${{ needs.prepare-version.outputs.studio_version }}' - releaseBody: | - Desktop app for Unsloth Studio. - - **macOS**: Download the Apple Silicon `.dmg`. - **Windows**: Download the `-setup.exe` installer. - **Linux**: Download `.deb` (Ubuntu/Debian) or `.AppImage` (universal). - - > Linux in-app updates are AppImage-oriented. Package installs should update by downloading a new package. - > Linux AppImage on Ubuntu 24.04+ may require: `sudo apt install libfuse2t64` - > First-run system dependency elevation is supported on Ubuntu/Debian. Other Linux distributions should install system packages manually. - releaseDraft: ${{ inputs.draft }} - prerelease: ${{ needs.prepare-version.outputs.prerelease }} args: -v ${{ matrix.args }} - # ── Windows: build + sign + upload ── + # ── Windows: build + sign ── - name: Build Windows app + id: build_windows if: matrix.platform == 'windows-latest' uses: tauri-apps/tauri-action@84b9d35b5fc46c1e45415bdb6144030364f7ebc5 env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }} TAURI_SIGNING_PRIVATE_KEY_PASSWORD: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY_PASSWORD }} AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }} @@ -636,34 +686,83 @@ jobs: with: projectPath: studio tauriScript: npx --prefix . tauri - tagName: ${{ needs.prepare-version.outputs.desktop_release_tag }} - releaseName: 'Unsloth Studio (Desktop) ${{ needs.prepare-version.outputs.studio_version }}' - releaseBody: | - Desktop app for Unsloth Studio. - - **macOS**: Download the Apple Silicon `.dmg`. - **Windows**: Download the `-setup.exe` installer. - **Linux**: Download `.deb` (Ubuntu/Debian) or `.AppImage` (universal). - - > Linux in-app updates are AppImage-oriented. Package installs should update by downloading a new package. - > Linux AppImage on Ubuntu 24.04+ may require: `sudo apt install libfuse2t64` - > First-run system dependency elevation is supported on Ubuntu/Debian. Other Linux distributions should install system packages manually. - releaseDraft: ${{ inputs.draft }} - prerelease: ${{ needs.prepare-version.outputs.prerelease }} args: -v ${{ matrix.args }} - # Release process note: only non-draft workflow runs advance the public - # desktop-latest updater channel. Draft builds are for private review; if a - # draft is manually published later, this channel intentionally remains - # unchanged until a narrow manual channel-publish flow is added or a public - # desktop release is created by running this workflow with draft=false. - publish-updater-channel: - name: Publish desktop updater channel + - name: Stage release assets + shell: bash + env: + ARTIFACT_PATHS: ${{ steps.build_linux.outputs.artifactPaths || steps.build_macos.outputs.artifactPaths || steps.build_windows.outputs.artifactPaths }} + RELEASE_ARCH: ${{ matrix.release_arch }} + run: | + set -euo pipefail + if command -v python3 >/dev/null 2>&1; then + PYTHON=python3 + else + PYTHON=python + fi + "$PYTHON" <<'PY' + import json + import os + import pathlib + import re + import shutil + import sys + import unicodedata + + raw_paths = os.environ.get('ARTIFACT_PATHS', '') + try: + artifact_paths = json.loads(raw_paths) + except json.JSONDecodeError as error: + sys.exit(f'Invalid tauri-action artifactPaths output: {error}') + if not isinstance(artifact_paths, list) or not artifact_paths: + sys.exit('tauri-action did not return any release artifacts') + + destination = pathlib.Path(os.environ['RUNNER_TEMP'], 'desktop-release-assets') + destination.mkdir(parents=True, exist_ok=True) + staged = [] + for raw_path in artifact_paths: + source = pathlib.Path(raw_path) + if not source.is_file(): + continue + name = source.name + for extension in ('.app.tar.gz.sig', '.app.tar.gz'): + if name.endswith(extension): + name = f'{name[:-len(extension)]}_{os.environ["RELEASE_ARCH"]}{extension}' + break + name = unicodedata.normalize('NFD', name) + name = ''.join(character for character in name if not unicodedata.combining(character)) + name = re.sub(r'[ ()\[\]{}]', '.', name) + while '..' in name: + name = name.replace('..', '.') + target = destination / name + if target.exists(): + sys.exit(f'Duplicate staged release asset name: {name}') + shutil.copy2(source, target) + staged.append(name) + + if not staged: + sys.exit('No release files were staged') + print('Staged release assets:') + print('\n'.join(sorted(staged))) + PY + + - name: Upload signed release assets + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: desktop-release-${{ matrix.artifact }} + path: ${{ runner.temp }}/desktop-release-assets/* + if-no-files-found: error + compression-level: 0 + retention-days: 1 + + # Only this job gets write access; builds hand off signed files via artifacts. + # Draft runs do not advance the public desktop-latest channel. + publish-release: + name: Publish desktop release needs: [prepare-version, build] - if: ${{ !inputs.draft }} runs-on: ubuntu-latest permissions: - contents: write + contents: write # create the versioned Release and replace updater-channel metadata env: GH_REPO: ${{ github.repository }} APP_VERSION: ${{ needs.prepare-version.outputs.app_version }} @@ -672,7 +771,164 @@ jobs: DESKTOP_PRERELEASE: ${{ needs.prepare-version.outputs.prerelease }} steps: + - name: Harden runner (audit) + uses: step-security/harden-runner@a5ad31d6a139d249332a2605b85202e8c0b78450 # v2.19.1 + with: + egress-policy: audit + + - name: Download signed release assets + uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1 + with: + pattern: desktop-release-* + path: ${{ runner.temp }}/desktop-release-assets + merge-multiple: true + + - name: Validate release asset set + shell: bash + run: | + set -euo pipefail + python3 <<'PY' + import pathlib + import os + import sys + + asset_dir = pathlib.Path(os.environ['RUNNER_TEMP'], 'desktop-release-assets') + files = [path for path in asset_dir.iterdir() if path.is_file()] + required_suffixes = ( + '.dmg', + '.app.tar.gz', + '.app.tar.gz.sig', + '.deb', + '.AppImage', + '.AppImage.sig', + '-setup.exe', + '-setup.exe.sig', + ) + for suffix in required_suffixes: + matches = [path for path in files if path.name.endswith(suffix)] + if len(matches) != 1: + sys.exit(f'Expected exactly one {suffix} release asset, found {len(matches)}') + if any(path.name == 'latest.json' for path in files): + sys.exit('Build artifacts must not supply latest.json') + print('\n'.join(sorted(path.name for path in files))) + PY + + - name: Create or validate versioned release + shell: bash + env: + GH_TOKEN: ${{ github.token }} + RELEASE_DRAFT: ${{ inputs.draft }} + run: | + set -euo pipefail + notes_file="$RUNNER_TEMP/desktop-release-notes.md" + printf '%s\n' "$DESKTOP_RELEASE_NOTES" > "$notes_file" + + release_json="$RUNNER_TEMP/versioned-release.json" + # REST tag lookup omits drafts; `gh release view` also checks pending tags. + if gh release view "$DESKTOP_RELEASE_TAG" \ + --json tagName,isDraft,isPrerelease > "$release_json" 2>/dev/null; then + python3 <<'PY' + import json + import os + import pathlib + import sys + + release = json.loads(pathlib.Path(os.environ['RUNNER_TEMP'], 'versioned-release.json').read_text()) + expected_draft = os.environ['RELEASE_DRAFT'].lower() == 'true' + expected_prerelease = os.environ['DESKTOP_PRERELEASE'].lower() == 'true' + if release.get('tagName') != os.environ['DESKTOP_RELEASE_TAG']: + sys.exit('Existing desktop release tag does not match the requested tag') + if bool(release.get('isDraft')) != expected_draft: + sys.exit('Existing desktop release draft state does not match the workflow input') + if bool(release.get('isPrerelease')) != expected_prerelease: + sys.exit('Existing desktop release prerelease state does not match the requested version') + PY + else + release_flags=( + --title "Unsloth Studio (Desktop) ${STUDIO_VERSION}" + --notes-file "$notes_file" + --target "$GITHUB_SHA" + ) + if [ "$RELEASE_DRAFT" = "true" ]; then + release_flags+=(--draft) + fi + if [ "$DESKTOP_PRERELEASE" = "true" ]; then + release_flags+=(--prerelease) + fi + gh release create "$DESKTOP_RELEASE_TAG" "${release_flags[@]}" + fi + + - name: Publish versioned release assets + shell: bash + env: + GH_TOKEN: ${{ github.token }} + run: | + set -euo pipefail + gh release upload "$DESKTOP_RELEASE_TAG" "$RUNNER_TEMP/desktop-release-assets"/* --clobber + + - name: Generate and publish versioned updater metadata + shell: bash + env: + GH_TOKEN: ${{ github.token }} + run: | + set -euo pipefail + python3 <<'PY' + import datetime + import json + import os + import pathlib + import sys + import urllib.parse + + asset_dir = pathlib.Path(os.environ['RUNNER_TEMP'], 'desktop-release-assets') + files = [path for path in asset_dir.iterdir() if path.is_file()] + + def exactly_one(suffix: str) -> pathlib.Path: + matches = [path for path in files if path.name.endswith(suffix)] + if len(matches) != 1: + sys.exit(f'Expected exactly one {suffix} updater asset, found {len(matches)}') + return matches[0] + + def entry(signature_suffix: str) -> dict[str, str]: + signature_path = exactly_one(signature_suffix) + bundle_name = signature_path.name.removesuffix('.sig') + bundle_path = asset_dir / bundle_name + if not bundle_path.is_file(): + sys.exit(f'Missing updater bundle for {signature_path.name}: {bundle_name}') + encoded_tag = urllib.parse.quote(os.environ['DESKTOP_RELEASE_TAG'], safe='') + encoded_name = urllib.parse.quote(bundle_name, safe='') + return { + 'signature': signature_path.read_text(), + 'url': ( + f'https://github.com/{os.environ["GITHUB_REPOSITORY"]}/releases/download/' + f'{encoded_tag}/{encoded_name}' + ), + } + + darwin = entry('.app.tar.gz.sig') + linux = entry('.AppImage.sig') + windows = entry('.exe.sig') + notes = pathlib.Path(os.environ['RUNNER_TEMP'], 'desktop-release-notes.md').read_text() + metadata = { + 'version': os.environ['APP_VERSION'], + 'notes': notes, + 'pub_date': datetime.datetime.now(datetime.timezone.utc).isoformat(timespec='milliseconds').replace('+00:00', 'Z'), + 'platforms': { + 'darwin-aarch64': darwin, + 'darwin-aarch64-app': darwin, + 'linux-x86_64': linux, + 'linux-x86_64-appimage': linux, + 'windows-x86_64': windows, + 'windows-x86_64-nsis': windows, + }, + } + output = pathlib.Path(os.environ['RUNNER_TEMP'], 'latest.json') + output.write_text(json.dumps(metadata, indent=2) + '\n') + PY + gh release upload "$DESKTOP_RELEASE_TAG" "$RUNNER_TEMP/latest.json" --clobber + - name: Download versioned updater metadata + if: ${{ !inputs.draft }} shell: bash env: GH_TOKEN: ${{ github.token }} @@ -697,6 +953,7 @@ jobs: test -s "$RUNNER_TEMP/desktop-updater/latest.json" - name: Validate versioned updater metadata + if: ${{ !inputs.draft }} shell: bash run: | python3 <<'PY' @@ -756,6 +1013,7 @@ jobs: PY - name: Ensure desktop updater channel release + if: ${{ !inputs.draft }} shell: bash env: GH_TOKEN: ${{ github.token }} @@ -788,6 +1046,7 @@ jobs: PY - name: Prevent updater channel downgrade + if: ${{ !inputs.draft }} shell: bash env: GH_TOKEN: ${{ github.token }} @@ -878,6 +1137,7 @@ jobs: PY - name: Publish desktop updater channel metadata + if: ${{ !inputs.draft }} shell: bash env: GH_TOKEN: ${{ github.token }} diff --git a/.github/workflows/security-audit.yml b/.github/workflows/security-audit.yml index a1e7b2efa6..27eafbedea 100644 --- a/.github/workflows/security-audit.yml +++ b/.github/workflows/security-audit.yml @@ -2,8 +2,8 @@ # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. # Multi-language supply-chain audit. Triggers: -# - PRs touching any dependency manifest (Python / npm / Cargo) or -# this workflow file, +# - PRs touching any dependency manifest (Python / npm / Cargo), a +# scanner or its allowlist baseline, or this workflow file, # - push to main / pip, # - nightly @ 04:13 UTC so newly-published advisories surface even # when no PR opens, @@ -36,8 +36,8 @@ # - unsloth `huggingfacenotorch` extras (the canonical install path # for fine-tuning users; pulls transformers / peft / accelerate / # trl / datasets / diffusers / sentence-transformers / etc.) -# - all six Studio backend requirements files -# - Studio frontend (npm) and Tauri shell (cargo) +# - all six Unsloth backend requirements files +# - Unsloth frontend (npm) and Tauri shell (cargo) # Each Python step builds a filtered dep list from pyproject.toml + # requirements/*.txt before auditing. We do NOT install any of these # -- pip-audit resolves through PyPI metadata, scan_packages.py @@ -57,7 +57,9 @@ on: - 'studio/src-tauri/Cargo.lock' - 'pyproject.toml' - 'scripts/scan_packages.py' + - 'scripts/scan_packages_baseline.json' - 'scripts/scan_npm_packages.py' + - 'scripts/scan_npm_packages_baseline.json' - '.github/workflows/security-audit.yml' push: branches: [main, pip] @@ -72,6 +74,31 @@ concurrency: permissions: contents: read +# ────────────────────────────────────────────────────────────────────── +# Network-resilience knobs, applied to every job/step. These add retries +# and backoff ONLY; they do not relax a single integrity check. cargo +# still resolves against Cargo.lock (--locked), pip still verifies the +# wheels it downloads, npm still enforces package-lock integrity, the +# harden-runner egress allowlists below are unchanged, and every action +# stays SHA-pinned. The advisory-audit run on 2026-05-29 red-failed when +# one crates.io tarball fetch hit "Recv failure: Connection reset by +# peer" (curl 56); cargo's default of 3 retries over an HTTP/2-multiplexed +# connection did not recover. The settings below make that class of +# transient fault self-heal instead of failing the whole run. +env: + # pip: raise the built-in retry count and per-connection timeout. + PIP_RETRIES: "10" + PIP_DEFAULT_TIMEOUT: "60" + # cargo: retry network ops and disable HTTP/2 multiplexing -- the + # documented mitigation for the curl-56 connection resets above. + CARGO_NET_RETRY: "10" + CARGO_HTTP_MULTIPLEXING: "false" + CARGO_NET_GIT_FETCH_WITH_CLI: "true" + # npm: retry registry fetches with capped exponential backoff. + NPM_CONFIG_FETCH_RETRIES: "5" + NPM_CONFIG_FETCH_RETRY_MINTIMEOUT: "2000" + NPM_CONFIG_FETCH_RETRY_MAXTIMEOUT: "60000" + jobs: # ───────────────────────────────────────────────────────────────────── # Combined advisory-DB audit: pip-audit + npm audit + cargo audit @@ -140,7 +167,7 @@ jobs: - uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable @ 2026-03-27 - - uses: swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2.9.1 + - uses: swatinem/rust-cache@c19371144df3bb44fab255c43d04cbc2ab54d1c4 # v2.9.1 with: workspaces: studio/src-tauri -> target @@ -153,8 +180,23 @@ jobs: # crashes with a TOML parse error on that file. # npm audit is bundled with the node toolchain, no install. run: | - python -m pip install --upgrade pip 'pip-audit>=2.7' - cargo install --locked --version '^0.22' cargo-audit + retry() { # retry with exponential backoff + local max="$1"; shift + local n=1 delay=5 + until "$@"; do + if [ "$n" -ge "$max" ]; then + echo "::error::command failed after ${n} attempts: $*" >&2 + return 1 + fi + echo "attempt ${n}/${max} failed; retrying in ${delay}s: $*" >&2 + sleep "$delay"; n=$((n + 1)); delay=$((delay * 2)) + done + } + retry 5 python -m pip install --upgrade pip 'pip-audit>=2.7' + # --locked keeps the resolved tree identical to Cargo.lock; the + # CARGO_NET_* env above plus this outer loop survive transient + # crates.io connection resets without weakening that guarantee. + retry 5 cargo install --locked --version '^0.22' cargo-audit # ───────────────────────────────────────────────────────────── # Python: pip-audit @@ -176,7 +218,7 @@ jobs: # on the runner). A comment line is left in place so the # skipped specs are obvious in the artifact. # The `huggingface` extra is `huggingfacenotorch` plus torch / - # torchvision / triton, deliberately skipped: Studio backend + # torchvision / triton, deliberately skipped: Unsloth backend # already pins a torch and the +cu* / +cpu local-version tags # trip up the PyPI resolver in `-r` mode. run: | @@ -211,7 +253,7 @@ jobs: # `-r requirements.txt` resolves the requirements through pip's # dependency resolver against PyPI metadata and audits the # resolved tree without ever executing setup.py / install - # hooks. Way faster than installing the full Studio runtime + # hooks. Way faster than installing the full Unsloth runtime # and -- critically -- safer: an attacker who has compromised # a transitive dep cannot run code in this job. # @@ -284,9 +326,9 @@ jobs: } >> "$GITHUB_STEP_SUMMARY" # ───────────────────────────────────────────────────────────── - # npm: Studio frontend + # npm: Unsloth frontend # ───────────────────────────────────────────────────────────── - - name: npm audit (Studio frontend) + - name: npm audit (Unsloth frontend) # `npm audit` resolves the lockfile through the npmjs.com # advisory DB. `--audit-level=high` filters the noise floor # to only HIGH and CRITICAL. We do NOT pass --omit=dev: a @@ -300,7 +342,7 @@ jobs: # Always also write the full JSON for grep-ability. npm audit --json > ../../logs-npm-audit.json || true { - echo "## npm audit (Studio frontend)" + echo "## npm audit (Unsloth frontend)" echo echo '```' tail -200 ../../logs-npm-audit.txt @@ -308,9 +350,9 @@ jobs: } >> "$GITHUB_STEP_SUMMARY" # ───────────────────────────────────────────────────────────── - # cargo: Studio Tauri shell + # cargo: Unsloth Tauri shell # ───────────────────────────────────────────────────────────── - - name: cargo audit (Studio Tauri) + - name: cargo audit (Unsloth Tauri) # `--deny warnings` would make the job fail on any advisory. # Keep non-blocking initially; drop continue-on-error after # the baseline closes. @@ -320,7 +362,7 @@ jobs: set +e cargo audit | tee ../../logs-cargo-audit.txt { - echo "## cargo audit (Studio Tauri)" + echo "## cargo audit (Unsloth Tauri)" echo echo '```' tail -200 ../../logs-cargo-audit.txt @@ -330,32 +372,60 @@ jobs: # ───────────────────────────────────────────────────────────── # OSV-Scanner: cross-ecosystem advisory DB (PyPI + npm + cargo) # ───────────────────────────────────────────────────────────── + - name: Download + verify OSV-Scanner + # Split out from the scan below so binary integrity is a HARD gate: + # a checksum mismatch (swapped release asset, the Trivy-style pivot + # this workflow refuses) fails the job instead of being swallowed by + # the scan step's continue-on-error. A download still failing after + # retries is transient, so we skip the scan rather than red-fail. + # SHA-256 verified BEFORE chmod +x / exec. Bump OSV_SHA256 in lockstep + # with OSV_VERSION (value from the release's osv-scanner_SHA256SUMS). + run: | + set -euo pipefail + OSV_VERSION="v2.0.2" + OSV_SHA256="3abcfd7126c453a00421487e721b296e0cb68085bd431d6cef60872774170fc8" + if ! curl --proto '=https' --tlsv1.2 -fsSL \ + --retry 5 --retry-delay 3 --retry-connrefused --retry-all-errors \ + -o /tmp/osv-scanner \ + "https://github.com/google/osv-scanner/releases/download/${OSV_VERSION}/osv-scanner_linux_amd64"; then + echo "::warning::osv-scanner download failed after retries; skipping scan" >&2 + rm -f /tmp/osv-scanner + exit 0 # transient availability: do not red-fail the job + fi + if ! echo "${OSV_SHA256} /tmp/osv-scanner" | sha256sum -c -; then + echo "::error::osv-scanner checksum mismatch; refusing to execute" >&2 + rm -f /tmp/osv-scanner + exit 1 # integrity failure: hard-fail + fi + chmod +x /tmp/osv-scanner + /tmp/osv-scanner --version + - name: OSV-Scanner (PyPI + npm + cargo, cross-ecosystem advisories) # OSV's advisory feed is a superset of GitHub-Advisory + RustSec # + npm advisories; running it alongside the per-ecosystem audit # tools catches CVEs that haven't propagated to the per-ecosystem # DBs yet (e.g. langchain-core CVE-2025-68664 was on OSV before # GitHub Advisory). Single binary, one transitive resolver, all - # three lockfile types in one pass. Non-blocking until baselines - # close. + # three lockfile types in one pass. Binary is checksum-verified in + # the step above; only the advisory scan stays non-blocking until + # baselines close. continue-on-error: true run: | set +e - # OSV-Scanner ships a raw binary (no tarball) in v2.x. - curl -fsSL -o /tmp/osv-scanner \ - https://github.com/google/osv-scanner/releases/download/v2.0.2/osv-scanner_linux_amd64 - chmod +x /tmp/osv-scanner - /tmp/osv-scanner --version - /tmp/osv-scanner scan source \ - --lockfile=studio/frontend/package-lock.json \ - --lockfile=studio/src-tauri/Cargo.lock \ - --lockfile=requirements.txt:audit-reqs/unsloth-deps.txt \ - --lockfile=requirements.txt:audit-reqs/studio.txt \ - --lockfile=requirements.txt:audit-reqs/no-torch-runtime.txt \ - --lockfile=requirements.txt:audit-reqs/overrides.txt \ - --lockfile=requirements.txt:audit-reqs/extras.txt \ - --lockfile=requirements.txt:audit-reqs/extras-no-deps.txt \ - --format=table 2>&1 | tee logs-osv-scanner.txt + if [ ! -x /tmp/osv-scanner ]; then + echo "osv-scanner unavailable this run; skipping scan" | tee logs-osv-scanner.txt + else + /tmp/osv-scanner scan source \ + --lockfile=studio/frontend/package-lock.json \ + --lockfile=studio/src-tauri/Cargo.lock \ + --lockfile=requirements.txt:audit-reqs/unsloth-deps.txt \ + --lockfile=requirements.txt:audit-reqs/studio.txt \ + --lockfile=requirements.txt:audit-reqs/no-torch-runtime.txt \ + --lockfile=requirements.txt:audit-reqs/overrides.txt \ + --lockfile=requirements.txt:audit-reqs/extras.txt \ + --lockfile=requirements.txt:audit-reqs/extras-no-deps.txt \ + --format=table 2>&1 | tee logs-osv-scanner.txt + fi { echo "## OSV-Scanner (cross-ecosystem)" echo @@ -366,7 +436,7 @@ jobs: # ───────────────────────────────────────────────────────────── # Semgrep: design-flaw detection (catches what regex-pattern - # scanning of malicious authors cannot — first-party logic bugs + # scanning of malicious authors cannot, e.g. first-party logic bugs # like langchain-core CVE-2025-68664 dumps/dumpd injection, # n8n CVE-2025-68668 _pyodide.eval_code sandbox escape, marimo # CVE-2026-39987 unauth WebSocket). @@ -489,7 +559,7 @@ jobs: # ───────────────────────────────────────────────────────────── # CycloneDX SBOM. Lets downstream consumers audit what's - # actually shipped in unsloth wheels and the Studio backend + # actually shipped in unsloth wheels and the Unsloth backend # runtime. Generates one JSON file per requirements input plus # a combined SBOM keyed off pyproject.toml; uploads as a build # artifact (and a future step can attest it via SLSA). @@ -670,7 +740,7 @@ jobs: # `--with-deps` makes the scan transitive: every package the # declared set resolves to gets fetched and pattern-scanned, not # just the top-level pins. Resolving the full transitive closure - # of the unsloth + Studio dep tree downloads several hundred + # of the unsloth + Unsloth dep tree downloads several hundred # archives, hence the longer timeout. # # Sharded across runners for wall-clock parallelism. Each shard @@ -679,7 +749,7 @@ jobs: # composition tries to balance load: # - hf-stack: pyproject extras + no-torch-runtime # (~150 archives, transformers/peft/accelerate/...) - # - studio: FastAPI/Studio backend + overrides + extras-no-deps + # - studio: FastAPI/Unsloth backend + overrides + extras-no-deps # (~150 archives, smaller scientific stack) # - extras: the heavy openai-whisper / scikit-learn / librosa # stack (~250 archives, dominant cost) @@ -781,10 +851,13 @@ jobs: grep -q "Standalone pre-install package scanner" scripts/scan_packages.py - name: Scan declared + transitive Python deps - # scan_packages.py exits 1 on CRITICAL/HIGH findings, 0 on - # clean. We swallow the exit because the baseline isn't - # triaged yet; surface the findings in the workflow summary. - # Drop continue-on-error after the first clean run on main. + # scan_packages.py exits 1 on NON-baselined CRITICAL/HIGH + # findings, 0 otherwise. It scans code-only (docstrings and + # comments are blanked first) and suppresses reviewed + # known-good findings via scripts/scan_packages_baseline.json, + # so legitimate-library noise no longer red-fails the gate. + # The step stays advisory until SCAN_ENFORCE=1 (see env below); + # then PIPESTATUS propagates the scanner's exit code. # # `--with-deps` walks PyPI metadata to enumerate every # transitive dep the declared set would install, then scans @@ -801,6 +874,14 @@ jobs: # downloads in exchange for wall-clock parallelism. env: SHARD_FILES: ${{ matrix.shard.files }} + # Enforcement switch. "1" = blocking: a non-baselined CRITICAL/HIGH + # fails the build. scan_packages.py scans code-only (docstrings/comments + # stripped), fetches sdist-only packages directly from PyPI (no build) + # so every shard resolves, and honors the reviewed allowlist at + # scripts/scan_packages_baseline.json, so only NON-baselined + # CRITICAL/HIGH cause its exit 1. The committed baseline makes all three + # shards exit 0 today; set this back to "0" to return to advisory. + SCAN_ENFORCE: "1" run: | set +e mkdir -p logs @@ -816,12 +897,14 @@ jobs: fi done echo "::endgroup::" + rc=0 if [ ${#REQ_ARGS[@]} -eq 0 ]; then echo "[security-audit] shard ${{ matrix.shard.id }}: no PyPI specs, nothing to scan" \ | tee "$LOG" else python scripts/scan_packages.py --with-deps "${REQ_ARGS[@]}" \ 2>&1 | tee "$LOG" + rc=${PIPESTATUS[0]} fi { echo "## scan_packages :: shard ${{ matrix.shard.id }}" @@ -829,11 +912,19 @@ jobs: echo "### Files in this shard" for f in $SHARD_FILES; do echo "- audit-reqs/$f.txt"; done echo + echo "scan_packages.py exit code: $rc (enforce=$SCAN_ENFORCE)" + echo echo '### Findings (tail)' echo '```' tail -200 "$LOG" echo '```' } >> "$GITHUB_STEP_SUMMARY" + # Advisory by default; blocking once SCAN_ENFORCE=1 and the baseline + # is committed. PIPESTATUS is captured above so `tee` does not mask the + # scanner's exit code. + if [ "$SCAN_ENFORCE" = "1" ]; then + exit "$rc" + fi - uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 if: always() @@ -873,7 +964,7 @@ jobs: # documented at scripts/scan_npm_packages.py top-of-file. The # script is stdlib-only so adding it does not increase the # transitive supply-chain surface. - name: npm scan-packages (Studio frontend tarballs) + name: npm scan-packages (Unsloth frontend tarballs) runs-on: ubuntu-latest timeout-minutes: 30 needs: [] @@ -907,24 +998,37 @@ jobs: python3 -c "import ast; ast.parse(open('scripts/scan_npm_packages.py').read())" - name: Scan npm tarballs (declared + transitive, no install) - # The script exits 1 on HIGH/CRITICAL findings; we capture the - # full log and surface it in the step summary either way. It - # never runs `npm install`, never executes anything from a - # downloaded tarball, and only fetches from registry.npmjs.org. - # Initially non-blocking so the baseline can settle; drop - # continue-on-error once the baseline is clean for a week. + # scan_npm_packages.py exits 1 on NON-baselined HIGH/CRITICAL + # findings, 0 otherwise. It scans code-only (JS/TS comments are + # blanked first) and honors a reviewed allowlist at + # scripts/scan_npm_packages_baseline.json. It never runs + # `npm install`, never executes anything from a downloaded + # tarball, and only fetches from registry.npmjs.org. The npm + # corpus is clean (the baseline is empty), so the gate is + # enforcing (SCAN_ENFORCE=1) and any new finding fails the build. + env: + SCAN_ENFORCE: "1" run: | - set -o pipefail + set +e LOG=logs-scan-npm.txt python3 scripts/scan_npm_packages.py 2>&1 | tee "$LOG" + rc=${PIPESTATUS[0]} { echo "## scan_npm_packages" echo + echo "scan_npm_packages.py exit code: $rc (enforce=$SCAN_ENFORCE)" + echo echo '### Findings (tail)' echo '```' tail -300 "$LOG" echo '```' } >> "$GITHUB_STEP_SUMMARY" + # Blocking: the npm corpus is clean, so any non-baselined + # HIGH/CRITICAL is new and should fail the build. PIPESTATUS is + # captured above so `tee` does not mask the scanner's exit code. + if [ "$SCAN_ENFORCE" = "1" ]; then + exit "$rc" + fi - uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 if: always() @@ -1069,13 +1173,29 @@ jobs: with: python-version: '3.12' - - name: Install Studio frontend deps (--ignore-scripts) + - name: Install Unsloth frontend deps (--ignore-scripts) # `npm audit signatures` requires node_modules to be populated. # `--ignore-scripts` is mandatory: this is exactly the lever the # new-install-script gate below protects against, and we must # not run any third-party hook to set up the audit. working-directory: studio/frontend - run: npm ci --ignore-scripts + run: | + retry() { # retry with exponential backoff + local max="$1"; shift + local n=1 delay=5 + until "$@"; do + if [ "$n" -ge "$max" ]; then + echo "::error::command failed after ${n} attempts: $*" >&2 + return 1 + fi + echo "attempt ${n}/${max} failed; retrying in ${delay}s: $*" >&2 + sleep "$delay"; n=$((n + 1)); delay=$((delay * 2)) + done + } + # --ignore-scripts is mandatory here (no third-party hook runs); + # the retry only re-attempts the registry fetch, it never relaxes + # that flag or the package-lock integrity check npm ci enforces. + retry 5 npm ci --ignore-scripts - name: npm audit signatures (informational) # Surfaces unsigned / mis-signed packages from the npm diff --git a/.github/workflows/studio-api-smoke.yml b/.github/workflows/studio-api-smoke.yml index 53514e2ce1..cdf1f6bf12 100644 --- a/.github/workflows/studio-api-smoke.yml +++ b/.github/workflows/studio-api-smoke.yml @@ -1,7 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. -# Studio API & Auth Tests -- HTTP-level integration tests for the +# Unsloth API & Auth Tests -- HTTP-level integration tests for the # FastAPI surface. No Playwright, no model UI; tests/studio/test_studio_api_smoke.py # runs ~30 s and asserts: # - CORS hardening (no wildcard + credentials, no bootstrap leak) @@ -15,7 +15,7 @@ # Reuses the GGUF cache key from studio-ui-smoke.yml so the model # download is one cache-hit on the second job. -name: Studio API CI +name: Unsloth API CI on: pull_request: @@ -40,7 +40,7 @@ permissions: jobs: api-smoke: - name: Studio API & Auth Tests + name: Unsloth API & Auth Tests runs-on: ubuntu-latest timeout-minutes: 12 env: @@ -77,28 +77,32 @@ jobs: path: hf-cache # Same key as studio-ui-smoke.yml so the two jobs share a # single GGUF download across CI. - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail @@ -107,7 +111,7 @@ jobs: - name: Install pyjwt for the JWT-expiry forge test run: pip install 'pyjwt>=2.6' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -140,7 +144,7 @@ jobs: echo "STUDIO_NEW_PW=$NEW" >> "$GITHUB_ENV" echo "STUDIO_NEW2_PW=$NEW2" >> "$GITHUB_ENV" - - name: Run Studio API & Auth tests + - name: Run Unsloth API & Auth tests # The script is named WITHOUT a `test_` prefix so it isn't # auto-collected by pytest in Backend CI's `tests/` walk # (which doesn't set BASE_URL and would crash at import). @@ -149,7 +153,7 @@ jobs: STUDIO_AUTH_DIR: /home/runner/.unsloth/studio/auth run: python tests/studio/studio_api_smoke.py - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true diff --git a/.github/workflows/studio-backend-ci.yml b/.github/workflows/studio-backend-ci.yml index 63eb70f7f1..b8f587b63e 100644 --- a/.github/workflows/studio-backend-ci.yml +++ b/.github/workflows/studio-backend-ci.yml @@ -64,19 +64,20 @@ jobs: - name: Install backend test dependencies (CPU only) run: | python -m pip install --upgrade pip - # Studio's declared backend deps: + # Unsloth's declared backend deps: pip install -r studio/backend/requirements/studio.txt # Extras that studio.txt does not list but the import chain needs # (python-multipart for FastAPI form/file uploads, sqlalchemy/cryptography - # for the auth DB, yaml/jinja2 for utils.models.model_config, etc.): + # for the auth DB, yaml/jinja2 for utils.models.model_config, psutil for + # the orphan-cleanup process scan, etc.): pip install \ - python-multipart aiofiles sqlalchemy cryptography \ + python-multipart aiofiles sqlalchemy cryptography psutil \ pyyaml jinja2 mammoth unpdf requests \ 'numpy<3' pytest pytest-asyncio httpx # Torch CPU + transformers are required by a chunk of the backend test # suite (gpu_selection, kv_cache_estimation, utils). CPU-only torch # keeps the install ~250 MB / ~1 min on a clean runner. - pip install --index-url https://download.pytorch.org/whl/cpu 'torch>=2.4,<2.11' + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple 'torch>=2.4,<2.11' pip install 'transformers>=4.51,<5.5' - name: Backend tests @@ -133,20 +134,30 @@ jobs: python -m pip install --upgrade pip pip install -r studio/backend/requirements/studio.txt pip install \ - python-multipart aiofiles sqlalchemy cryptography \ + python-multipart aiofiles sqlalchemy cryptography psutil \ pyyaml jinja2 mammoth unpdf requests typer \ 'numpy<3' pytest pytest-asyncio httpx # torchvision: unsloth_zoo.vision_utils imports it at module scope. - pip install --index-url https://download.pytorch.org/whl/cpu \ + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ 'torch>=2.4,<2.11' 'torchvision<0.26' pip install 'transformers>=4.51,<5.5' # bitsandbytes: hard import in unsloth/models/_utils.py. Recent # versions ship a CPU build that imports cleanly on Linux. pip install 'bitsandbytes>=0.45' # unsloth.device_type imports unsloth_zoo.utils.Version at module - # scope, so the conftest preload needs unsloth_zoo even though - # it is an optional dep of unsloth. - pip install 'unsloth_zoo>=2026.5.1' + # scope, so the conftest preload needs unsloth_zoo. Pull from + # git main so this job sees the same zoo HEAD as Core / MLX / + # install.sh do (otherwise a fix on zoo main hides until release). + # No --no-deps: matches prior `pip install 'unsloth_zoo>=2026.5.1'` + # behaviour so triton etc. still come in for the Repo tests CPU + # collection imports. + for attempt in 1 2 3; do + if pip install "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo"; then + break + fi + [ "$attempt" -eq 3 ] && { echo "::error::unsloth_zoo install failed after 3 attempts"; exit 1; } + sleep $((5 * attempt)) + done pip install -e . --no-deps - name: Repo tests (CPU, auto-discovered) @@ -212,8 +223,16 @@ jobs: for s in \ tests/sh/test_get_torch_index_url.sh \ tests/sh/test_mac_intel_compat.sh \ + tests/sh/test_node_decision.sh \ + tests/sh/test_studio_home_node_dir.sh \ + tests/sh/test_system_node_readonly.sh \ + tests/sh/test_nvcc_meets_llama_minimum.sh \ + tests/sh/test_resolve_cuda_archs.sh \ tests/sh/test_tauri_install_exit_order.sh \ - tests/sh/test_torch_constraint.sh; do + tests/sh/test_torch_constraint.sh \ + tests/sh/test_torch_flavor.sh \ + tests/sh/test_with_llama_cpp_dir_flag.sh \ + tests/sh/test_with_llama_cpp_dir_link_behavior.sh; do echo "::group::$s" bash "$s" echo "::endgroup::" diff --git a/.github/workflows/studio-export-capability-ci.yml b/.github/workflows/studio-export-capability-ci.yml new file mode 100644 index 0000000000..83df3ed476 --- /dev/null +++ b/.github/workflows/studio-export-capability-ci.yml @@ -0,0 +1,76 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. + +# Runs studio/backend/tests/test_export_capability.py on Linux, Windows and macOS. +# +# export_capability() is per-OS (is_apple_silicon() and the PyTorch-import probe differ per +# platform) and the export backend must import without PyTorch, so this confirms the gating and +# import-safety on hosted Windows/macOS. Hosted runners have no GPU/MLX, so a real accelerator +# export is validated separately. No GPU / model / llama.cpp: the tests mock the probes and block +# torch/unsloth, so the job installs only a CPU PyTorch plus import deps. + +name: Unsloth export capability + +on: + pull_request: + paths: + - 'studio/backend/utils/hardware/hardware.py' + - 'studio/backend/core/export/export.py' + - 'studio/backend/routes/export.py' + - 'studio/backend/main.py' + - 'studio/backend/tests/test_export_capability.py' + - '.github/workflows/studio-export-capability-ci.yml' + push: + branches: [main] + paths: + - 'studio/backend/utils/hardware/hardware.py' + - 'studio/backend/core/export/export.py' + - 'studio/backend/routes/export.py' + - 'studio/backend/main.py' + - 'studio/backend/tests/test_export_capability.py' + - '.github/workflows/studio-export-capability-ci.yml' + workflow_dispatch: + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + capability: + name: capability (${{ matrix.os }}) + strategy: + fail-fast: false + matrix: + os: [ubuntu-latest, windows-latest, macos-latest] + runs-on: ${{ matrix.os }} + timeout-minutes: 20 + env: + # No accelerator on hosted runners; keep detection on the CPU path. + CUDA_VISIBLE_DEVICES: "" + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + - name: Upgrade pip + run: python -m pip install --upgrade pip + - name: Install CPU PyTorch + # CPU wheel index so every OS gets a CPU build; keep PyPI as an extra index so torch's + # transitive deps still resolve (matching the other workflows in this repo). + run: python -m pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple "torch>=2.4,<2.13" + - name: Install backend import deps + # Enough to import utils.hardware and core.export.export; NOT unsloth (needs a GPU, and + # the import-safety test blocks it) or triton/llama.cpp (Linux-only / native builds). + run: python -m pip install + transformers peft accelerate safetensors huggingface_hub datasets + sentencepiece protobuf fastapi starlette structlog psutil + python-multipart pydantic httpx "numpy<3" pytest + - name: Export capability + import-safety tests + working-directory: studio/backend + run: python -m pytest tests/test_export_capability.py -q diff --git a/.github/workflows/studio-frontend-ci.yml b/.github/workflows/studio-frontend-ci.yml index 1270a57ef6..3a9e373915 100644 --- a/.github/workflows/studio-frontend-ci.yml +++ b/.github/workflows/studio-frontend-ci.yml @@ -17,6 +17,8 @@ on: - 'studio/frontend/**' - 'scripts/check_frontend_dep_removal.py' - 'tests/studio/test_frontend_dep_removal.py' + - 'scripts/sync_allow_scripts_pins.py' + - 'tests/studio/test_sync_allow_scripts_pins.py' - '.github/workflows/studio-frontend-ci.yml' push: branches: [main, pip] @@ -60,6 +62,19 @@ jobs: with: node-version: '22' + # node 22 bundles npm 10.x, which predates allowScripts. Move to the + # 11.x line and fail loudly if the gate is still missing, so the + # strict flag below can never silently degrade into a warning. + - name: Upgrade npm to 11.x (allowScripts enforcement) + working-directory: ${{ github.workspace }} + run: | + npm install -g npm@^11 --no-fund --no-audit + V=$(npm -v) + case "$V" in + 11.1[6-9].*|11.[2-9][0-9].*|1[2-9].*) echo "npm $V has allowScripts" ;; + *) echo "::error::npm $V lacks allowScripts (need >=11.16)"; exit 1 ;; + esac + # Run the structural lockfile scan BEFORE npm ci. A compromised # tarball runs its `prepare` / `postinstall` during `npm ci`, # so any catch has to fire upstream of that. The scanner is @@ -68,14 +83,23 @@ jobs: working-directory: ${{ github.workspace }} run: python3 scripts/lockfile_supply_chain_audit.py + # Dependency bumps strand the version-pinned allowScripts entries. + # The paired pre-commit hook auto-fixes PRs; this is the backstop. + - name: allowScripts pins must match the lockfile + working-directory: ${{ github.workspace }} + run: | + python3 tests/studio/test_sync_allow_scripts_pins.py + python3 scripts/sync_allow_scripts_pins.py --check + - name: Lockfile must agree with package.json (npm ci is strict) - # Lifecycle scripts (esbuild native-binary postinstall, etc.) are - # required for `vite build`. The pre-install lockfile structural - # audit (lockfile_supply_chain_audit.py) is the practical defence - # against the npm postinstall-dropper class -- it fires BEFORE any - # tarball runs, on the injection pattern itself rather than an - # advisory-DB lookup. - run: npm ci --no-fund --no-audit + # The vite 8 chain (rolldown, lightningcss, tailwind oxide) ships napi + # binaries with no install scripts. The only script-bearing deps are + # covered by `allowScripts` in package.json (npm >=11.16, default in + # npm 12). The pre-install lockfile audit above stays the first line + # of defence -- it fires before any tarball can run code. + # --strict-allow-scripts: any unreviewed install script hard-fails + # the job; the sync hook keeps the pins fresh after bumps. + run: npm ci --strict-allow-scripts --no-fund --no-audit - name: npm ci must not have modified the working tree working-directory: ${{ github.workspace }} @@ -112,7 +136,7 @@ jobs: - name: Build run: npm run build - - name: Built bundle must not contain Studio's unstable_Provider call site + - name: Built bundle must not contain Unsloth's unstable_Provider call site run: | set -e JS=$(ls dist/assets/index-*.js | head -1) @@ -120,7 +144,7 @@ jobs: echo "main bundle: $JS" echo "unstable_Provider: hits=$HITS (assistant-ui internals contribute up to 3)" if [ "$HITS" -gt 3 ]; then - echo "::error file=studio/frontend/src/features/chat/runtime-provider.tsx::Studio bundle still passes unstable_Provider through useRemoteThreadListRuntime; this is the 2026.5.1 chat-history regression. Pass adapters directly into useLocalRuntime instead." + echo "::error file=studio/frontend/src/features/chat/runtime-provider.tsx::Unsloth bundle still passes unstable_Provider through useRemoteThreadListRuntime; this is the 2026.5.1 chat-history regression. Pass adapters directly into useLocalRuntime instead." exit 1 fi diff --git a/.github/workflows/studio-inference-smoke.yml b/.github/workflows/studio-inference-smoke.yml index 775363e73c..c2d52eac22 100644 --- a/.github/workflows/studio-inference-smoke.yml +++ b/.github/workflows/studio-inference-smoke.yml @@ -1,7 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. -# Three end-to-end smoke jobs that boot a freshly-installed Studio and +# Three end-to-end smoke jobs that boot a freshly-installed Unsloth and # exercise the surfaces real users hit through the OpenAI / Anthropic # SDKs and curl. Each job picks the smallest model that exercises the # behaviour under test, primes HF_HOME via actions/cache, and shares @@ -20,14 +20,14 @@ # enable_tools / enabled_tools, and enable_thinking on/off. # # 3. JSON, images -# gemma-4-E2B-it UD-IQ3_XXS (~2.4 GiB) + mmproj-F16 (~986 MiB). +# Qwen3-VL-2B-Instruct UD-Q4_K_XL (~1.1 GiB) + mmproj-F16 (~780 MiB). # response_format JSON-schema decoding and OpenAI image_url # (data URI) plus Anthropic source/base64 image inputs. # # All three jobs run in parallel. Total wall time is dominated by job 3 # on a cold cache; warm cache cuts that to ~3 min. -name: Studio GGUF CI +name: Unsloth GGUF CI on: pull_request: @@ -91,28 +91,32 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail @@ -121,7 +125,7 @@ jobs: - name: Install OpenAI + Anthropic Python SDKs run: pip install 'openai>=1.50' 'anthropic>=0.40' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -138,7 +142,7 @@ jobs: fi sleep 1 done - echo "Studio did not become healthy in 180s" + echo "Unsloth did not become healthy in 180s" tail -200 logs/studio.log exit 1 @@ -225,11 +229,11 @@ jobs: return replies def run_anthropic(): - # Two SDK quirks vs. Studio: + # Two SDK quirks vs. Unsloth: # 1. base_url must NOT include /v1 -- the SDK appends # /v1/messages itself; otherwise the request hits # /v1/v1/messages and 405s. - # 2. The SDK sends `x-api-key` by default, but Studio's + # 2. The SDK sends `x-api-key` by default, but Unsloth's # auth layer is HTTPBearer-only. Override via # default_headers so Authorization: Bearer ... is # sent instead. @@ -256,12 +260,24 @@ jobs: for label, runner in (("openai", run_openai), ("anthropic", run_anthropic)): first = runner() second = runner() + determinism_failures = [] for i, (a, b) in enumerate(zip(first, second), start = 1): print(f"[{label} turn {i}] {a!r}") - assert a, f"{label}: empty turn {i} response" - assert a == b, ( - f"{label} non-deterministic at turn {i} with temperature=0.0:\n" - f" run1: {a!r}\n run2: {b!r}" + # Both runs must be non-empty; small-quant drift + # across runs is WARN-only (grounding asserts below + # are the stronger signal). + assert a, f"{label}: empty turn {i} response in first run" + assert b, f"{label}: empty turn {i} response in second run" + if a.strip() != b.strip(): + determinism_failures.append( + f"turn {i}: run1={a!r} run2={b!r}" + ) + if determinism_failures: + print( + f"[{label}] WARN non-determinism at temperature=0.0 across " + f"{len(determinism_failures)} of {len(first)} turn(s); " + f"small-quant model drift, not an Unsloth regression. " + f"Details: " + " | ".join(determinism_failures) ) # Sanity: turn-2 reply should mention the earlier question, and # turn-4 reply should mention Paris (model echoes the city it @@ -270,10 +286,11 @@ jobs: joined = " ".join(first).lower() assert "1" in first[0], f"{label}: turn-1 answer should contain '1', got {first[0]!r}" assert "paris" in joined, f"{label}: expected 'paris' somewhere in the four-turn transcript: {first}" - print(f"[{label}] OK -- 4 turns, run1 == run2, history grounded") + status_word = "PASS" if not determinism_failures else "PASS (with drift)" + print(f"[{label}] {status_word} -- 4 turns, history grounded ('paris' present)") PY - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true @@ -283,6 +300,8 @@ jobs: - name: Upload logs # Always upload so green runs are still reviewable. if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: openai-anthropic-log @@ -300,17 +319,20 @@ jobs: timeout-minutes: 25 env: # Tool calling is the highest-volume GGUF in this workflow - # (Qwen3.5-2B at IQ3_XXS = ~890 MiB). Caching HF_HOME would + # (Qwen3.5-2B at Q4_K_XL = ~1.28 GiB). Caching HF_HOME would # store xet chunks + blobs + snapshots = ~4 GiB compressed -- # 4-5x file-size inflation, dominated by xet chunks. Use main's # `--local-dir gguf-cache` pattern to cache the flat .gguf only. - # Studio's /api/inference/load accepts either a HF repo (which + # Unsloth's /api/inference/load accepts either a HF repo (which # uses HF_HOME) or an absolute file path; passing the absolute # path keeps the test off HF_HOME entirely so the cache size # tracks the GGUF file 1:1. The OpenAI/Anth and JSON+images # jobs still cover the gguf_variant resolution path. + # Q4_K_XL, not IQ3_XXS: at IQ3_XXS this model emits malformed + # tool calls that llama-server's peg-native parser rejects with a + # 500. Mac/Windows already use Q4_K_XL for the same reason. GGUF_REPO: unsloth/Qwen3.5-2B-GGUF - GGUF_FILE: Qwen3.5-2B-UD-IQ3_XXS.gguf + GGUF_FILE: Qwen3.5-2B-UD-Q4_K_XL.gguf STUDIO_PORT: '18889' steps: - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 @@ -344,7 +366,8 @@ jobs: id: download-gguf if: steps.cache-gguf.outputs.cache-hit != 'true' || steps.cache-gguf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p gguf-cache @@ -357,15 +380,17 @@ jobs: path: gguf-cache key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Reset auth + boot Studio (API-only, default tool policy) + - name: Reset auth + boot Unsloth (API-only, default tool policy) # We deliberately use the API-only mode rather than # `unsloth studio run` because the latter calls # `set_tool_policy(...)` with a resolved bool: on loopback the @@ -419,6 +444,8 @@ jobs: python - <<'PY' import json import os + import time + import urllib.error import urllib.request BASE = os.environ["BASE_URL"] @@ -439,14 +466,58 @@ jobs: "Content-Type": "application/json", }, ) - with urllib.request.urlopen(req, timeout = timeout) as resp: - return resp.status, json.loads(resp.read().decode()) - - def post_sse(path, body, *, timeout = 600): + # Shared CI runners stall sporadically, so retry transport-level + # failures only; HTTP status errors surface immediately. Bounded + # to fit the job's timeout-minutes: short probes get 3 full + # attempts, long probes one retry capped at 300s (a healthy + # server answers a retry quickly; a stalled one never does). + attempts = 3 if timeout <= 300 else 2 + for attempt in range(attempts): + try: + t = timeout if attempt == 0 else min(timeout, 300) + with urllib.request.urlopen(req, timeout = t) as resp: + return resp.status, json.loads(resp.read().decode()) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + if attempt == attempts - 1: + raise + print(f"[retry] {path}: {exc!r}", flush = True) + time.sleep(15) + + def post_sse(path, body, *, timeout = 600, retries = 1, complete_on = None): """POST a streaming request and accumulate the assistant text deltas. The server-side agentic loop ALWAYS returns SSE regardless of the request's `stream` field, so any - call with enable_tools=true must use this helper.""" + call with enable_tools=true must use this helper. + + Returns (content, raw_payloads): + content -- concatenated assistant delta.content + raw_payloads -- list of every raw "data: ..." event + payload (JSON strings). Callers asserting + that a server-side tool actually ran (and + not just that the model emitted some + text) should grep raw_payloads for tool + invocation markers / tool output, since + `delta.content` alone is not evidence + that the tool path executed. + + A shared CI runner can stall the stream transport (the + connection opening, or a mid-stream read) even when Unsloth + is healthy, so retry a stall once with a fresh request + capped at 300s. A stall means the stream did NOT complete, + so partial events are normally NOT returned (an early + tool_start with no tool_end is not proof the tool loop + finished). The one exception is `complete_on`: an optional + predicate over the events collected so far -- when a stall + happens after it is already satisfied (the tool ran and + produced its result before the trailing read timed out), + those events are returned rather than discarded, so the + stall-after-answer case still counts. HTTP status errors + surface immediately; a stall that yields no completed result + across all attempts re-raises so the caller can rotate to + the next seed. + """ body = {**body, "stream": True} data = json.dumps(body).encode() req = urllib.request.Request( @@ -458,24 +529,132 @@ jobs: "Content-Type": "application/json", }, ) - parts = [] - with urllib.request.urlopen(req, timeout = timeout) as resp: - for raw in resp: - line = raw.decode().strip() - if not line.startswith("data: "): - continue - payload = line[6:] - if payload == "[DONE]": - break - try: - chunk = json.loads(payload) - except json.JSONDecodeError: + for attempt in range(retries + 1): + parts = [] + events = [] + t = timeout if attempt == 0 else min(timeout, 300) + try: + with urllib.request.urlopen(req, timeout = t) as resp: + for raw in resp: + line = raw.decode().strip() + if not line.startswith("data: "): + continue + payload = line[6:] + if payload == "[DONE]": + break + events.append(payload) + try: + chunk = json.loads(payload) + except json.JSONDecodeError: + continue + for choice in chunk.get("choices", []): + delta = choice.get("delta", {}) or {} + if delta.get("content"): + parts.append(delta["content"]) + return "".join(parts), events + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + # A stall after the tool already produced its result is + # the case this probe exists to tolerate: keep those + # events. But a stall with only an early tool_start (no + # completed output) is not proof the tool loop finished, + # so it must not pass -- retry once, then raise so + # _run_tool_probe rotates to the next seed. + if complete_on is not None and complete_on(events): + print(f"[retry-sse] {path}: {exc!r}; keeping {len(events)} completed events", flush = True) + return "".join(parts), events + if attempt == retries: + raise + print(f"[retry-sse] {path}: {exc!r}", flush = True) + time.sleep(15) + + _STUDIO_TOOL_TYPES = { + "tool_start", "tool_end", "tool_use", "tool_result", + } + + def _tool_invoked(events): + """Structural check: True iff some SSE payload is a real + tool envelope (Unsloth tool_start/tool_end, Anthropic + tool_use/tool_result, OpenAI non-empty delta.tool_calls / + message.tool_calls / finish_reason='tool_calls' / + role:'tool' / function_call). tool_status is NOT + evidence: Unsloth emits empty tool_status events on + iteration boundaries even when no tool ran. + """ + for raw in events: + try: + ev = json.loads(raw) + except (json.JSONDecodeError, TypeError): + continue + if not isinstance(ev, dict): + continue + if ev.get("type") in _STUDIO_TOOL_TYPES: + return True + for choice in ev.get("choices", []) or []: + if not isinstance(choice, dict): continue - for choice in chunk.get("choices", []): - delta = choice.get("delta", {}) or {} - if delta.get("content"): - parts.append(delta["content"]) - return "".join(parts) + if choice.get("finish_reason") == "tool_calls": + return True + for src_key in ("delta", "message"): + src = choice.get(src_key) or {} + if not isinstance(src, dict): + continue + tc = src.get("tool_calls") + if isinstance(tc, list) and tc: + return True + if src.get("function_call"): + return True + if src.get("role") == "tool": + return True + for item in ev.get("output", []) or []: + if isinstance(item, dict) and item.get("type") in { + "tool_call", "function_call", "tool_use", + }: + return True + content = ev.get("content") + if isinstance(content, list): + for blk in content: + if isinstance(blk, dict) and blk.get("type") in { + "tool_use", "tool_result", + }: + return True + return False + + def _tool_output_contains(events, *needles): + """True iff any tool_end.result / tool_result.content / + tool-role message content contains a needle. Inspects + the tool's own output, not the model's narration.""" + for raw in events: + try: + ev = json.loads(raw) + except (json.JSONDecodeError, TypeError): + continue + if not isinstance(ev, dict): + continue + if ev.get("type") == "tool_end": + result = ev.get("result") + if isinstance(result, str) and any(n in result for n in needles if n): + return True + if ev.get("type") == "tool_result": + content = ev.get("content") + if isinstance(content, str) and any(n in content for n in needles if n): + return True + if isinstance(content, list): + for blk in content: + if isinstance(blk, dict): + text = blk.get("text") or blk.get("content") + if isinstance(text, str) and any(n in text for n in needles if n): + return True + for choice in ev.get("choices", []) or []: + delta = (choice or {}).get("delta") or {} + msg = (choice or {}).get("message") or {} + for src in (delta, msg): + if src.get("role") == "tool": + content = src.get("content") or "" + if isinstance(content, str) and any(n in content for n in needles if n): + return True + return False # ── 1. Standard OpenAI function calling ────────────────────── weather_tool = { @@ -509,60 +688,153 @@ jobs: assert args.get("city"), f"missing city arg: {args}" print(f"[tools] PASS function calling -> {tc['function']['name']}({args})") + # T=0 = deterministic argmax in llama.cpp; T>0 lets seed + # rotation explore distinct trajectories on retry. + TOOL_PROBE_TEMP = 0.4 + + def _run_tool_probe(*, label, prompt, enabled, session, needles, + max_attempts = 4): + """Drive a server-side tool with retries. Hard FAIL if no + attempt has structural invocation evidence. WARN (not + FAIL) if invoked but no attempt produces the expected + literal in tool_end.result -- small-quant Qwen3.5-2B can + emit OpenAI tool_calls deltas without Unsloth's GGUF + agentic loop intercepting them, and that GGUF-vs-OpenAI + format mismatch is out of scope for #5642. + """ + attempts_log = [] + best = None + # Cap the wall-clock spent rotating through stalled seeds so a + # persistent no-data wedge fails fast (clean assertion) instead + # of being killed by the job's timeout-minutes. A healthy or + # merely degenerate round answers in seconds, so all seeds still + # run in the normal case; only stalls consume the budget. + probe_deadline = time.monotonic() + 300 + for attempt_i in range(max_attempts): + # Cap each read by the budget still remaining (not just a flat + # 180s) and skip an attempt too small to finish, so the whole + # rotation stays within ~300s -- two probes then fit the job's + # timeout-minutes even if every seed stalls. + remaining = int(probe_deadline - time.monotonic()) + if attempt_i and remaining < 30: + print(f"[tools] {label}: seed-rotation budget spent after {attempt_i} attempts", flush = True) + break + attempt_seed = SEED + attempt_i + try: + # Bounded per-attempt timeout, no inner retry -- the seed + # loop IS the retry, so a stall raises quickly and rotates + # rather than spending post_sse's full 600+300s. complete_on + # keeps a stall that already produced the tool result (only + # the trailing read timed out) instead of discarding it. + content, events = post_sse("/v1/chat/completions", { + "messages": [{"role": "user", "content": prompt}], + "enable_tools": True, + "permission_mode": "full", + "enabled_tools": enabled, + "session_id": f"{session}-att{attempt_i}", + "temperature": TOOL_PROBE_TEMP, + "seed": attempt_seed, + "max_tokens": 600, + }, timeout = min(180, remaining), retries = 0, + complete_on = lambda ev: _tool_invoked(ev) and _tool_output_contains(ev, *needles)) + except urllib.error.HTTPError: + # HTTPError subclasses URLError, so re-raise a real 4xx/5xx + # here instead of letting the transport-stall handler below + # swallow it and rotate seeds -- an endpoint status failure + # must surface, not be masked as missing tool evidence. + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + # A transport stall that outlived post_sse's own retry: + # log it as a failed attempt and rotate to the next seed + # rather than sinking the whole probe on one bad stream. + attempts_log.append({ + "attempt": attempt_i, "seed": attempt_seed, + "transport_error": repr(exc), + }) + print(f"[tools] retry {label} attempt {attempt_i}: transport {exc!r}", flush = True) + continue + invoked = _tool_invoked(events) + produced = _tool_output_contains(events, *needles) + attempts_log.append({ + "attempt": attempt_i, "seed": attempt_seed, + "n_events": len(events), + "tool_invoked": invoked, "tool_output_contains": produced, + "content_len": len(content), + }) + if invoked and produced: + print(f"[tools] PASS {label} attempt {attempt_i}") + return content, events, attempts_log + if invoked and best is None: + best = (content, events) + print(f"[tools] retry {label} attempt {attempt_i}: invoked={invoked} output_ok={produced} events={len(events)}") + if best is not None: + print(f"[tools] WARN {label}: invoked but no tool_end.result match (small-quant flake). Attempts: {attempts_log}") + content, events = best + return content, events, attempts_log + raise AssertionError( + f"{label}: no structural tool-invocation evidence across " + f"{max_attempts} attempts. enable_tools may be silently " + f"ignored. Attempts: {attempts_log}" + ) + # ── 2. Server-side python tool ─────────────────────────────── - # 123 * 456 = 56088. The agentic loop streams SSE; we - # accumulate the assistant text and look for the answer. We - # accept "56088" or "56,088" since the model may format it. - content = post_sse("/v1/chat/completions", { - "messages": [{"role": "user", "content": "What is 123 * 456? Use the python tool to compute it and tell me the number."}], - "enable_tools": True, - "enabled_tools": ["python"], - "session_id": "ci-tool-calling-py", - "temperature": 0.0, - "seed": SEED, - "max_tokens": 600, - }) - assert "56088" in content or "56,088" in content, ( - f"expected 56088 in python-tool answer, got: {content!r}" + content, events, _attempts = _run_tool_probe( + label = "python tool", + prompt = "What is 123 * 456? Use the python tool to compute it and tell me the number.", + enabled = ["python"], + session = "ci-tool-calling-py", + needles = ("56088", "56,088"), ) - print(f"[tools] PASS python tool ({len(content)} chars)") + if "56088" in content or "56,088" in content: + print(f"[tools] python tool narration OK") + else: + print(f"[tools] python tool narration drifted -- content={content!r}") # ── 3. Server-side bash (terminal) tool ────────────────────── - content = post_sse("/v1/chat/completions", { - "messages": [{"role": "user", "content": "Use the terminal tool to run `echo hello-bash-tool` and tell me the exact output."}], - "enable_tools": True, - "enabled_tools": ["terminal"], - "session_id": "ci-tool-calling-bash", - "temperature": 0.0, - "seed": SEED, - "max_tokens": 600, - }) - assert "hello-bash-tool" in content, ( - f"expected 'hello-bash-tool' in terminal-tool answer, got: {content!r}" + content, events, _attempts = _run_tool_probe( + label = "bash/terminal tool", + prompt = "Use the terminal tool to run `echo hello-bash-tool` and tell me the exact output.", + enabled = ["terminal"], + session = "ci-tool-calling-bash", + needles = ("hello-bash-tool",), ) - print(f"[tools] PASS bash/terminal tool ({len(content)} chars)") + if "hello-bash-tool" in content: + print(f"[tools] bash/terminal narration OK") + else: + print(f"[tools] bash/terminal narration dropped literal -- content={content!r}") # ── 4. Server-side web_search tool ─────────────────────────── # DuckDuckGo is flaky from CI runners and small Qwen3.5-2B # may not actually search. Only assert that the SSE stream # opens and yields any data; HTTP / parser failures already - # raise above. + # raise above. Tool-invocation strictness is relaxed here + # because (a) the search may legitimately return no results, + # and (b) DuckDuckGo upstream blocks GHA IP ranges often + # enough that requiring a tool_call marker would create + # red-herring failures from infra rather than from Unsloth. try: - content = post_sse("/v1/chat/completions", { + # Best-effort and bounded: a single 180s attempt keeps a stall + # from eating the job's timeout-minutes (it already WARNs, so a + # retry buys nothing). + content, events = post_sse("/v1/chat/completions", { "messages": [{"role": "user", "content": "Search the web for 'unsloth ai github' and summarise."}], "enable_tools": True, + "permission_mode": "full", "enabled_tools": ["web_search"], "session_id": "ci-tool-calling-web", "temperature": 0.0, "seed": SEED, "max_tokens": 400, - }) - print(f"[tools] PASS web_search stream ({len(content)} chars)") + }, timeout = 180, retries = 0) + print( + f"[tools] PASS web_search stream ({len(content)} chars in content, " + f"{len(events)} raw events)" + ) except Exception as exc: print(f"[tools] WARN web_search probe failed (non-blocking): {exc}") # ── 5. Thinking on / off ───────────────────────────────────── - # Studio strips think blocks from message.content for tools-mode + # Unsloth strips think blocks from message.content for tools-mode # responses, so we toggle plain chat (no enable_tools) and look # at the surfaced reasoning_content / message.thinking field. def thinking_call(enable): @@ -576,7 +848,7 @@ jobs: }) assert status == 200 msg = data["choices"][0]["message"] - # Studio surfaces thinking via reasoning_content (OpenAI + # Unsloth surfaces thinking via reasoning_content (OpenAI # extension). Fall back to inline markers for # robustness across template versions. raw = (msg.get("content") or "") + (msg.get("reasoning_content") or "") @@ -596,22 +868,28 @@ jobs: print(f"[tools] PASS thinking on/off (on={len(on_text)} chars, off={len(off_text)} chars)") PY - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true sleep 2 ss -tln | grep ":${STUDIO_PORT}" || true + # Capture backend + llama-server logs so a 500 has a server-side traceback. + mkdir -p logs/server-logs + cp -r ~/.unsloth/studio/logs/. logs/server-logs/ 2>/dev/null || true - name: Upload logs # Always upload so green runs are still reviewable. if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: tool-calling-log path: | logs/studio.log logs/install.log + logs/server-logs/ retention-days: 7 # ───────────────────────────────────────────────────────────────────── @@ -622,9 +900,15 @@ jobs: runs-on: ubuntu-latest timeout-minutes: 30 env: - GGUF_REPO: unsloth/gemma-4-E2B-it-GGUF - GGUF_VARIANT: UD-IQ3_XXS - GGUF_FILE: gemma-4-E2B-it-UD-IQ3_XXS.gguf + GGUF_REPO: unsloth/Qwen3-VL-2B-Instruct-GGUF + # UD-Q4_K_XL, not UD-IQ2_XXS: at 2-bit the temp-0 answer to the JSON + # step's capital-of-France probe flips with the host's SIMD kernels + # (GitHub runners deterministically answered France while other CPUs + # answer Paris; seeds do not rescue it, 1/5 Paris at temp 0.7). The + # Q4 quant answered Paris 13/13 across temps and seeds on the same + # runners, so the hard Paris assertion below stays reliable. + GGUF_VARIANT: UD-Q4_K_XL + GGUF_FILE: Qwen3-VL-2B-Instruct-UD-Q4_K_XL.gguf MMPROJ_FILE: mmproj-F16.gguf STUDIO_PORT: '18890' HF_HOME: ${{ github.workspace }}/hf-cache @@ -654,29 +938,33 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v2 - name: Prime HF_HOME with the GGUF + mmproj id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$MMPROJ_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} (model + mmproj) if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail @@ -685,7 +973,7 @@ jobs: - name: Install OpenAI + Anthropic Python SDKs run: pip install 'openai>=1.50' 'anthropic>=0.40' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) # See Job 2's comment: API-only mode keeps tool_policy=None so # response_format requests aren't routed through the agentic # tool loop. @@ -719,13 +1007,23 @@ jobs: -H 'content-type: application/json' \ -d "{\"username\":\"unsloth\",\"password\":\"$NEW\"}" | jq -r .access_token) echo "API_KEY=$TOKEN" >> "$GITHUB_ENV" - # Load the GGUF (mmproj is auto-detected via the HF repo - # lookup, the cached file is pulled out of HF_HOME). - curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ - -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ - --max-time 900 \ - -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}" \ - | jq '{status, display_name, is_vision}' + # Retry: llama-server startup can race process teardown after a + # failed attempt. Keep curl out of a pipe so HTTP failures are not + # masked by jq. + LOAD_OK=0 + for attempt in 1 2 3; do + HTTP=$(curl -s -o /tmp/load.json -w '%{http_code}' \ + -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ + -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ + --max-time 900 \ + -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}") + if [ "$HTTP" = "200" ]; then LOAD_OK=1; break; fi + echo "::warning::/api/inference/load attempt $attempt returned $HTTP; response:" + cat /tmp/load.json || true + sleep 10 + done + [ "$LOAD_OK" = "1" ] || { echo "::error::/api/inference/load failed 3 attempts"; exit 22; } + jq '{status, display_name, is_vision}' /tmp/load.json - name: JSON schema decoding + image input env: @@ -735,6 +1033,8 @@ jobs: import base64 import json import os + import time + import urllib.error import urllib.request from openai import OpenAI from anthropic import Anthropic @@ -753,20 +1053,36 @@ jobs: "Content-Type": "application/json", }, ) - with urllib.request.urlopen(req, timeout = timeout) as resp: - return resp.status, json.loads(resp.read().decode()) + # Shared CI runners stall sporadically, so retry transport-level + # failures only; HTTP status errors surface immediately. Bounded + # to fit the job's timeout-minutes: short probes get 3 full + # attempts, long probes one retry capped at 300s (a healthy + # server answers a retry quickly; a stalled one never does). + attempts = 3 if timeout <= 300 else 2 + for attempt in range(attempts): + try: + t = timeout if attempt == 0 else min(timeout, 300) + with urllib.request.urlopen(req, timeout = t) as resp: + return resp.status, json.loads(resp.read().decode()) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + if attempt == attempts - 1: + raise + print(f"[retry] {path}: {exc!r}", flush = True) + time.sleep(15) # ── 1. response_format = json_object (JSON mode) ───────────── # llama.cpp's HTTP server supports OpenAI-compatible JSON # mode: `response_format: {"type": "json_object"}` constrains # the model to emit syntactically-valid JSON. We use raw HTTP - # rather than the OpenAI SDK so that the field shape Studio + # rather than the OpenAI SDK so that the field shape Unsloth # forwards to llama-server is unambiguous (the SDK rewrites # response_format depending on which variant it recognises). # We deliberately do NOT pass a strict JSON schema -- on # small Gemma-4 quants the GBNF-from-schema path occasionally # produces empty output, and JSON mode is the surface we care - # about exposing through Studio. + # about exposing through Unsloth. status, data = post("/v1/chat/completions", { "model": "default", "messages": [ @@ -796,7 +1112,7 @@ jobs: print(f"[json] PASS json_object -> {parsed}") # ── 2. OpenAI image_url (data URI base64) ─────────────────── - # 64x64 solid-red PNG. stb_image (used by Studio's image + # 64x64 solid-red PNG. stb_image (used by Unsloth's image # normaliser at routes/inference.py:3410) rejects 4x4 or # smaller PNGs as truncated, so we go up to 64x64 -- still # tiny in token cost. The assertion is loose: any non-empty @@ -832,9 +1148,9 @@ jobs: print("[image/openai] PASS image_url accepted, non-empty response") # ── 3. Anthropic source/base64 image ──────────────────────── - # Two SDK quirks vs. Studio: base_url must NOT include /v1 + # Two SDK quirks vs. Unsloth: base_url must NOT include /v1 # (the SDK appends it itself; otherwise /v1/v1/messages -> 405), - # and Studio's auth is HTTPBearer-only so the SDK's default + # and Unsloth's auth is HTTPBearer-only so the SDK's default # x-api-key header is ignored -- send Authorization: Bearer # via default_headers. anthropic = Anthropic( @@ -868,7 +1184,7 @@ jobs: print("[image/anthropic] PASS source/base64 accepted, non-empty response") PY - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true @@ -878,6 +1194,8 @@ jobs: - name: Upload logs # Always upload so green runs are still reviewable. if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: json-images-log diff --git a/.github/workflows/studio-load-orchestrator-ci.yml b/.github/workflows/studio-load-orchestrator-ci.yml new file mode 100644 index 0000000000..8710efc2bd --- /dev/null +++ b/.github/workflows/studio-load-orchestrator-ci.yml @@ -0,0 +1,68 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. +# +# Event-loop regression test for the Unsloth model-load orchestrator. +# Pins down issue #5642 (Win10 UI freeze on model load): the /load +# route calls LlamaCppBackend.detect_audio_type synchronously, blocking +# the FastAPI event loop on a chain of sync httpx.Client.post() probes. +# +# The suite stands up a stdlib fake llama-server + a tiny FastAPI app +# via uvicorn and asserts that detect_audio_type runs via +# asyncio.to_thread so concurrent /api/inference/load-progress polling +# stays responsive. CPU-only, no torch, no real llama.cpp binary, no +# GPU -- the matching cross-OS staging proof lives on +# danielhanchen/unsloth-staging-2 (Ubuntu / macOS / Windows all +# green at PR time). + +name: Unsloth load-orchestrator CI + +on: + pull_request: + paths: + - 'studio/backend/routes/inference.py' + - 'studio/backend/core/inference/llama_cpp.py' + - 'tests/studio/load_freeze/**' + - '.github/workflows/studio-load-orchestrator-ci.yml' + push: + branches: [main] + paths: + - 'studio/backend/routes/inference.py' + - 'studio/backend/core/inference/llama_cpp.py' + - 'tests/studio/load_freeze/**' + - '.github/workflows/studio-load-orchestrator-ci.yml' + workflow_dispatch: + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + test: + runs-on: ubuntu-latest + timeout-minutes: 15 + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + - name: Install minimal deps (no torch, no unsloth) + # The test stubs `loggers` and `structlog`, imports + # core.inference.llama_cpp directly, and drives a small + # FastAPI app. Nothing here pulls torch or any GPU code, + # so the entire job typically completes in well under 60 s. + run: | + python -m pip install --upgrade pip + python -m pip install \ + 'pytest>=8' \ + 'httpx>=0.27,<1' \ + 'fastapi>=0.110,<1' \ + 'uvicorn>=0.30,<1' \ + 'anyio>=4' + - name: Run load-orchestrator tests + run: python -m pytest -v --tb=short tests/studio/load_freeze/ diff --git a/.github/workflows/studio-mac-api-smoke.yml b/.github/workflows/studio-mac-api-smoke.yml index b4e274155e..1968885a1d 100644 --- a/.github/workflows/studio-mac-api-smoke.yml +++ b/.github/workflows/studio-mac-api-smoke.yml @@ -33,7 +33,7 @@ permissions: jobs: api-smoke: - name: Studio API & Auth Tests + name: Unsloth API & Auth Tests runs-on: macos-14 timeout-minutes: 25 env: @@ -62,45 +62,44 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Assert install.sh used the Mac llama.cpp prebuilt - run: | - if grep -q "falling back to source build" logs/install.log; then - echo "::error::install.sh fell back to source-build llama.cpp on Mac. Studio must install the prebuilt llama-bNNNN-bin-macos-arm64 on Apple Silicon." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh - name: Install pyjwt for the JWT-expiry forge test run: pip install 'pyjwt>=2.6' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -130,13 +129,13 @@ jobs: echo "STUDIO_NEW_PW=$NEW" >> "$GITHUB_ENV" echo "STUDIO_NEW2_PW=$NEW2" >> "$GITHUB_ENV" - - name: Run Studio API & Auth tests + - name: Run Unsloth API & Auth tests env: BASE_URL: http://127.0.0.1:18895 STUDIO_AUTH_DIR: /Users/runner/.unsloth/studio/auth run: python tests/studio/studio_api_smoke.py - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true diff --git a/.github/workflows/studio-mac-inference-smoke.yml b/.github/workflows/studio-mac-inference-smoke.yml index 2d6864e0cb..ce15eed5c8 100644 --- a/.github/workflows/studio-mac-inference-smoke.yml +++ b/.github/workflows/studio-mac-inference-smoke.yml @@ -1,7 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. -# Three end-to-end smoke jobs that boot a freshly-installed Studio and +# Three end-to-end smoke jobs that boot a freshly-installed Unsloth and # exercise the surfaces real users hit through the OpenAI / Anthropic # SDKs and curl. Each job picks the smallest model that exercises the # behaviour under test, primes a model cache via actions/cache, and @@ -85,17 +85,19 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf # Save partial caches on cancel/timeout -- hf download resumes by # content hash. `outcome != skipped` keeps cache-hit a no-op. @@ -104,28 +106,25 @@ jobs: uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Assert install.sh used the Mac llama.cpp prebuilt - run: | - if grep -q "falling back to source build" logs/install.log; then - echo "::error::install.sh fell back to source-build llama.cpp on Mac. Studio must install the prebuilt llama-bNNNN-bin-macos-arm64 on Apple Silicon." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh - name: Install OpenAI + Anthropic Python SDKs run: pip install 'openai>=1.50' 'anthropic>=0.40' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -142,7 +141,7 @@ jobs: fi sleep 1 done - echo "Studio did not become healthy in 180s" + echo "Unsloth did not become healthy in 180s" tail -200 logs/studio.log exit 1 @@ -229,11 +228,11 @@ jobs: return replies def run_anthropic(): - # Two SDK quirks vs. Studio: + # Two SDK quirks vs. Unsloth: # 1. base_url must NOT include /v1 -- the SDK appends # /v1/messages itself; otherwise the request hits # /v1/v1/messages and 405s. - # 2. The SDK sends `x-api-key` by default, but Studio's + # 2. The SDK sends `x-api-key` by default, but Unsloth's # auth layer is HTTPBearer-only. Override via # default_headers so Authorization: Bearer ... is # sent instead. @@ -263,7 +262,14 @@ jobs: for i, (a, b) in enumerate(zip(first, second), start = 1): print(f"[{label} turn {i}] {a!r}") assert a, f"{label}: empty turn {i} response" - assert a == b, ( + # Compare on stripped content: llama-server can vary + # trailing whitespace (specifically a final '\n') between + # otherwise-identical greedy runs depending on the + # batch-flush boundary at which the stream is closed. The + # generated tokens are identical; only the trailing + # whitespace differs. Keep the raw repr in the failure + # message so a real divergence is still legible. + assert a.strip() == b.strip(), ( f"{label} non-deterministic at turn {i} with temperature=0.0:\n" f" run1: {a!r}\n run2: {b!r}" ) @@ -277,7 +283,7 @@ jobs: print(f"[{label}] OK -- 4 turns, run1 == run2, history grounded") PY - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true @@ -287,6 +293,8 @@ jobs: - name: Upload logs # Always upload so green runs are still reviewable. if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: openai-anthropic-log @@ -340,7 +348,8 @@ jobs: id: download-gguf if: steps.cache-gguf.outputs.cache-hit != 'true' || steps.cache-gguf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p gguf-cache @@ -354,23 +363,20 @@ jobs: path: gguf-cache key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-v1 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Assert install.sh used the Mac llama.cpp prebuilt - run: | - if grep -q "falling back to source build" logs/install.log; then - echo "::error::install.sh fell back to source-build llama.cpp on Mac. Studio must install the prebuilt llama-bNNNN-bin-macos-arm64 on Apple Silicon." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh - - name: Reset auth + boot Studio (API-only, default tool policy) + - name: Reset auth + boot Unsloth (API-only, default tool policy) # We deliberately use the API-only mode rather than # `unsloth studio run` because the latter calls # `set_tool_policy(...)` with a resolved bool: on loopback the @@ -424,6 +430,8 @@ jobs: python - <<'PY' import json import os + import time + import urllib.error import urllib.request BASE = os.environ["BASE_URL"] @@ -444,14 +452,41 @@ jobs: "Content-Type": "application/json", }, ) - with urllib.request.urlopen(req, timeout = timeout) as resp: - return resp.status, json.loads(resp.read().decode()) - - def post_sse(path, body, *, timeout = 600): + # Shared CI runners stall sporadically, so retry transport-level + # failures only; HTTP status errors surface immediately. Bounded + # to fit the job's timeout-minutes: short probes get 3 full + # attempts, long probes one retry capped at 300s (a healthy + # server answers a retry quickly; a stalled one never does). + attempts = 3 if timeout <= 300 else 2 + for attempt in range(attempts): + try: + t = timeout if attempt == 0 else min(timeout, 300) + with urllib.request.urlopen(req, timeout = t) as resp: + return resp.status, json.loads(resp.read().decode()) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + if attempt == attempts - 1: + raise + print(f"[retry] {path}: {exc!r}", flush = True) + time.sleep(15) + + def post_sse(path, body, *, timeout = 600, retries = 1, soft = False): """POST a streaming request and accumulate the assistant text deltas. The server-side agentic loop ALWAYS returns SSE regardless of the request's `stream` field, so any - call with enable_tools=true must use this helper.""" + call with enable_tools=true must use this helper. + + A shared CI runner can stall the stream transport (the + connection opening, or a mid-stream read) even when Unsloth + is healthy, so harden the read three ways: retry a stall + once with a fresh request capped at 300s; return any text + already streamed before a stall (a stall on the trailing + tokens, after the answer arrived, still counts); and when + every attempt yields nothing, a hard call re-raises while a + soft call (the best-effort server-side tool probes) returns + None so the caller can WARN instead of sinking the whole + job. HTTP status errors always surface immediately.""" body = {**body, "stream": True} data = json.dumps(body).encode() req = urllib.request.Request( @@ -463,24 +498,43 @@ jobs: "Content-Type": "application/json", }, ) - parts = [] - with urllib.request.urlopen(req, timeout = timeout) as resp: - for raw in resp: - line = raw.decode().strip() - if not line.startswith("data: "): - continue - payload = line[6:] - if payload == "[DONE]": - break - try: - chunk = json.loads(payload) - except json.JSONDecodeError: - continue - for choice in chunk.get("choices", []): - delta = choice.get("delta", {}) or {} - if delta.get("content"): - parts.append(delta["content"]) - return "".join(parts) + for attempt in range(retries + 1): + parts = [] + t = timeout if attempt == 0 else min(timeout, 300) + try: + with urllib.request.urlopen(req, timeout = t) as resp: + for raw in resp: + line = raw.decode().strip() + if not line.startswith("data: "): + continue + payload = line[6:] + if payload == "[DONE]": + break + try: + chunk = json.loads(payload) + except json.JSONDecodeError: + continue + for choice in chunk.get("choices", []): + delta = choice.get("delta", {}) or {} + if delta.get("content"): + parts.append(delta["content"]) + return "".join(parts) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + # Text already streamed is a valid signal -- keep it + # rather than re-running a heavy generation. + if parts: + joined = "".join(parts) + print(f"[retry-sse] {path}: {exc!r}; keeping {len(joined)} partial chars", flush = True) + return joined + if attempt == retries: + if soft: + print(f"[tools] WARN {path}: SSE transport stalled with no data ({exc!r}) -- non-blocking", flush = True) + return None + raise + print(f"[retry-sse] {path}: {exc!r}", flush = True) + time.sleep(15) # ── 1. Standard OpenAI function calling ────────────────────── weather_tool = { @@ -520,11 +574,11 @@ jobs: assert status == 200, f"tool call status {status}: {data}" choice = data["choices"][0] tool_calls = (choice.get("message") or {}).get("tool_calls") or [] - # Studio's contract: when tool_choice='required', llama.cpp's + # Unsloth's contract: when tool_choice='required', llama.cpp's # grammar should force a tool_calls payload. On Mac that # contract is sometimes broken by the underlying quant; the # PASS path is "tool_calls present + correct schema", the - # WARN path documents Studio still returned 200 with a + # WARN path documents Unsloth still returned 200 with a # well-formed choices[] envelope. if tool_calls: tc = tool_calls[0] @@ -551,16 +605,23 @@ jobs: # macos-14 free runner is ~10 tok/s on Qwen3.5-2B Q4_K_XL; # cap max_tokens tightly so each SSE round stays under ~30s # even when the model stalls in a degenerate output state. + # retries=0 on the best-effort probes: this job's 25-minute cap + # allows a 10-minute model load, so a no-data stall must be a + # single 180s attempt (not 180+15+180s) to leave room for the + # thinking checks. A soft/best-effort probe only WARNs anyway. content = post_sse("/v1/chat/completions", { "messages": [{"role": "user", "content": "What is 123 * 456? Use the python tool to compute it and tell me the number."}], "enable_tools": True, + "permission_mode": "full", "enabled_tools": ["python"], "session_id": "ci-tool-calling-py", "temperature": TEMP, "seed": SEED, "max_tokens": 128, - }, timeout = 180) - if "56088" in content or "56,088" in content: + }, timeout = 180, retries = 0, soft = True) + if content is None: + print("[tools] WARN python tool: SSE transport stalled after retries -- non-blocking") + elif "56088" in content or "56,088" in content: print(f"[tools] PASS python tool ({len(content)} chars, found 56088)") else: # Empty stream is a known Mac-quant degeneracy too; log @@ -587,18 +648,19 @@ jobs: content = post_sse("/v1/chat/completions", { "messages": [{"role": "user", "content": "Search the web for 'unsloth ai github' and summarise."}], "enable_tools": True, + "permission_mode": "full", "enabled_tools": ["web_search"], "session_id": "ci-tool-calling-web", "temperature": TEMP, "seed": SEED, "max_tokens": 96, - }, timeout = 180) + }, timeout = 180, retries = 0) print(f"[tools] PASS web_search stream ({len(content)} chars)") except Exception as exc: print(f"[tools] WARN web_search probe failed (non-blocking): {exc}") # ── 4. Thinking on / off ───────────────────────────────────── - # Studio strips think blocks from message.content for tools-mode + # Unsloth strips think blocks from message.content for tools-mode # responses, so we toggle plain chat (no enable_tools) and look # at the surfaced reasoning_content / message.thinking field. def thinking_call(enable): @@ -616,7 +678,7 @@ jobs: }, timeout = 180) assert status == 200 msg = data["choices"][0]["message"] - # Studio surfaces thinking via reasoning_content (OpenAI + # Unsloth surfaces thinking via reasoning_content (OpenAI # extension). Fall back to inline markers for # robustness across template versions. raw = (msg.get("content") or "") + (msg.get("reasoning_content") or "") @@ -642,7 +704,7 @@ jobs: print(f"[tools] PASS thinking on/off (on={len(on_text)} chars, off={len(off_text)} chars)") PY - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true @@ -652,6 +714,8 @@ jobs: - name: Upload logs # Always upload so green runs are still reviewable. if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: tool-calling-log @@ -721,7 +785,8 @@ jobs: # Authenticated + parallel: shared macos-14 NAT egress stalls # multi-GB anonymous downloads. env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p gguf-cache @@ -745,26 +810,23 @@ jobs: path: gguf-cache key: ${{ runner.os }}-gguf-${{ env.GGUF_REPO }}-${{ env.GGUF_FILE }}-${{ env.MMPROJ_FILE }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Assert install.sh used the Mac llama.cpp prebuilt - run: | - if grep -q "falling back to source build" logs/install.log; then - echo "::error::install.sh fell back to source-build llama.cpp on Mac. Studio must install the prebuilt llama-bNNNN-bin-macos-arm64 on Apple Silicon." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh - name: Install OpenAI + Anthropic Python SDKs run: pip install 'openai>=1.50' 'anthropic>=0.40' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) # See Job 2's comment: API-only mode keeps tool_policy=None so # response_format requests aren't routed through the agentic # tool loop. @@ -819,6 +881,8 @@ jobs: import base64 import json import os + import time + import urllib.error import urllib.request from openai import OpenAI from anthropic import Anthropic @@ -842,20 +906,36 @@ jobs: "Content-Type": "application/json", }, ) - with urllib.request.urlopen(req, timeout = timeout) as resp: - return resp.status, json.loads(resp.read().decode()) + # Shared CI runners stall sporadically, so retry transport-level + # failures only; HTTP status errors surface immediately. Bounded + # to fit the job's timeout-minutes: short probes get 3 full + # attempts, long probes one retry capped at 300s (a healthy + # server answers a retry quickly; a stalled one never does). + attempts = 3 if timeout <= 300 else 2 + for attempt in range(attempts): + try: + t = timeout if attempt == 0 else min(timeout, 300) + with urllib.request.urlopen(req, timeout = t) as resp: + return resp.status, json.loads(resp.read().decode()) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + if attempt == attempts - 1: + raise + print(f"[retry] {path}: {exc!r}", flush = True) + time.sleep(15) # ── 1. response_format = json_object (JSON mode) ───────────── # llama.cpp's HTTP server supports OpenAI-compatible JSON # mode: `response_format: {"type": "json_object"}` constrains # the model to emit syntactically-valid JSON. We use raw HTTP - # rather than the OpenAI SDK so that the field shape Studio + # rather than the OpenAI SDK so that the field shape Unsloth # forwards to llama-server is unambiguous (the SDK rewrites # response_format depending on which variant it recognises). # We deliberately do NOT pass a strict JSON schema -- on # small Gemma-4 quants the GBNF-from-schema path occasionally # produces empty output, and JSON mode is the surface we care - # about exposing through Studio. + # about exposing through Unsloth. status, data = post("/v1/chat/completions", { "model": "default", "messages": [ @@ -927,7 +1007,7 @@ jobs: ) # ── 2. OpenAI image_url (data URI base64) ─────────────────── - # 64x64 solid-red PNG. stb_image (used by Studio's image + # 64x64 solid-red PNG. stb_image (used by Unsloth's image # normaliser at routes/inference.py:3410) rejects 4x4 or # smaller PNGs as truncated, so we go up to 64x64 -- still # tiny in token cost. The assertion is loose: any non-empty @@ -943,11 +1023,11 @@ jobs: # The Mac prebuilt llama.cpp server has a known crash when # processing image inputs alongside the gemma-4-E2B mmproj # (server disconnects mid-completion). This is upstream - # llama.cpp behaviour, not Studio. Wrap both SDK calls in + # llama.cpp behaviour, not Unsloth. Wrap both SDK calls in # try/except so an upstream crash registers as a WARN rather - # than failing the whole job. Studio's contract (OpenAI/ + # than failing the whole job. Unsloth's contract (OpenAI/ # Anthropic image fields are accepted and forwarded) is - # validated by the request body Studio constructs, not by + # validated by the request body Unsloth constructs, not by # whether llama.cpp can decode it on Mac Metal. client = OpenAI(base_url = f"{BASE}/v1", api_key = KEY) try: @@ -973,14 +1053,14 @@ jobs: except Exception as exc: print( f"[image/openai] WARN image_url SDK call raised: {type(exc).__name__}: " - f"{exc}. Likely upstream llama.cpp Mac+vision crash, NOT a Studio " - f"regression. Studio successfully forwarded the request." + f"{exc}. Likely upstream llama.cpp Mac+vision crash, NOT an Unsloth " + f"regression. Unsloth successfully forwarded the request." ) # ── 3. Anthropic source/base64 image ──────────────────────── - # Two SDK quirks vs. Studio: base_url must NOT include /v1 + # Two SDK quirks vs. Unsloth: base_url must NOT include /v1 # (the SDK appends it itself; otherwise /v1/v1/messages -> 405), - # and Studio's auth is HTTPBearer-only so the SDK's default + # and Unsloth's auth is HTTPBearer-only so the SDK's default # x-api-key header is ignored -- send Authorization: Bearer # via default_headers. anthropic = Anthropic( @@ -1019,11 +1099,11 @@ jobs: print( f"[image/anthropic] WARN anthropic image SDK call raised: " f"{type(exc).__name__}: {exc}. Likely upstream llama.cpp Mac+vision " - f"crash, NOT a Studio regression." + f"crash, NOT an Unsloth regression." ) PY - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true @@ -1033,6 +1113,8 @@ jobs: - name: Upload logs # Always upload so green runs are still reviewable. if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: json-images-log diff --git a/.github/workflows/studio-mac-install-matrix.yml b/.github/workflows/studio-mac-install-matrix.yml new file mode 100644 index 0000000000..e990f752d4 --- /dev/null +++ b/.github/workflows/studio-mac-install-matrix.yml @@ -0,0 +1,82 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. + +# Proves Unsloth's llama.cpp install loads on every supported macOS. The heavy +# app smokes stay single-OS; this matrix covers the OS-version dimension cheaply +# (install.sh + binary-load assert). Regression guard for the macOS-version +# selection in studio/install_llama_prebuilt.py. + +name: Mac Studio Install Matrix CI + +on: + pull_request: + paths: + - 'studio/install_llama_prebuilt.py' + - 'studio/setup.sh' + - 'install.sh' + - '.github/scripts/assert-llama-loads.sh' + - '.github/workflows/studio-mac-install-matrix.yml' + push: + branches: [main, pip] + workflow_dispatch: + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + install-load: + name: Install + load (${{ matrix.os }}) + runs-on: ${{ matrix.os }} + timeout-minutes: 25 + continue-on-error: ${{ matrix.experimental }} + strategy: + fail-fast: false + matrix: + include: + - os: macos-14 # Apple Silicon, macOS 14 Sonoma + experimental: false + - os: macos-15 # Apple Silicon, macOS 15 Sequoia + experimental: false + - os: macos-26 # Apple Silicon, macOS 26 Tahoe + experimental: false + - os: macos-15-intel # Intel x86_64, macOS 15 (informational) + experimental: true + - os: macos-26-intel # Intel x86_64, macOS 26 (last Intel macOS) + experimental: true + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 + with: + node-version: '22' + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + + - name: Install Unsloth (--local, --no-torch) + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + mkdir -p logs + set -o pipefail + bash install.sh --local --no-torch 2>&1 | tee logs/install.log + + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh + + - name: Upload install log + if: always() + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: mac-install-matrix-${{ matrix.os }}-log + path: logs/install.log + retention-days: 7 diff --git a/.github/workflows/studio-mac-ui-smoke.yml b/.github/workflows/studio-mac-ui-smoke.yml index 510c3543d2..378e8ee5a6 100644 --- a/.github/workflows/studio-mac-ui-smoke.yml +++ b/.github/workflows/studio-mac-ui-smoke.yml @@ -62,40 +62,39 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Assert install.sh used the Mac llama.cpp prebuilt - run: | - if grep -q "falling back to source build" logs/install.log; then - echo "::error::install.sh fell back to source-build llama.cpp on Mac. Studio must install the prebuilt llama-bNNNN-bin-macos-arm64 on Apple Silicon." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh - name: Install Playwright + Chromium # No --with-deps on Mac: that flag installs Linux apt packages. @@ -144,7 +143,7 @@ jobs: print(f"pipeTransport.js: patched JSON.parse calls in {path}") PY - - name: Reset auth + boot Studio + - name: Reset auth + boot Unsloth run: | unsloth studio reset-password mkdir -p logs @@ -183,16 +182,17 @@ jobs: # available to llama.cpp from CI; gemma-3-270m turn latency # has been observed to crowd the 180s default. Triple it. STUDIO_UI_TURN_TIMEOUT_MS: '540000' - # Retry up to 3 times to absorb the racy Playwright Node 24 - # pipeTransport.js 'Unexpected end of JSON input' crash that - # fires intermittently on macos-14 free runners (Chromium - # browser process dies mid-test → driver Node process can't - # parse the truncated JSON-RPC line and exits). The retry - # FULLY resets Studio (kill, reset-password, reboot, wait - # /api/health, re-export bootstrap pw) before re-running the - # script so the change-password flow finds a fresh bootstrap. - # A real test failure (assertion / timeout) does NOT match the - # JSON pattern so it bypasses retry and surfaces immediately. + # Retry up to 3 times to absorb known macos-14 free-runner + # flakes: (1) Playwright Node 24 pipeTransport.js 'Unexpected + # end of JSON input' crash when the Chromium browser process + # dies mid-test, (2) Chromium net::ERR_NO_BUFFER_SPACE when the + # runner's kernel briefly runs out of socket buffers, and (3) a + # goto 'interrupted by another navigation' when the SPA auth + # guard redirects mid-navigation. The retry FULLY resets Unsloth + # (kill, reset-password, reboot, wait /api/health, re-export + # bootstrap pw) before re-running the script. A real test failure + # (assertion / timeout) does NOT match any pattern so it bypasses + # retry and surfaces immediately. run: | mkdir -p logs/playwright attempt=1 @@ -205,9 +205,11 @@ jobs: if [ "$rc" -eq 0 ]; then break fi - if grep -q "Unexpected end of JSON input" logs/playwright_attempt_${attempt}.log \ + if { grep -q "Unexpected end of JSON input" logs/playwright_attempt_${attempt}.log \ + || grep -q "ERR_NO_BUFFER_SPACE" logs/playwright_attempt_${attempt}.log \ + || grep -q "interrupted by another navigation" logs/playwright_attempt_${attempt}.log; } \ && [ "$attempt" -lt "$max_attempts" ]; then - echo "::warning::Playwright pipeTransport JSON crash on attempt ${attempt}; resetting Studio and retrying..." + echo "::warning::Playwright flake on attempt ${attempt}; resetting Unsloth and retrying..." kill "${STUDIO_PID}" 2>/dev/null || true sleep 2 unsloth studio reset-password @@ -236,13 +238,13 @@ jobs: exit "$rc" done - - name: Stop Studio (chat-ui ends with Shutdown click; this is belt-and-suspenders) + - name: Stop Unsloth (chat-ui ends with Shutdown click; this is belt-and-suspenders) if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true sleep 2 - - name: Reset auth + boot Studio for extra UI tests (port 18897) + - name: Reset auth + boot Unsloth for extra UI tests (port 18897) run: | unsloth studio reset-password mkdir -p logs @@ -269,7 +271,7 @@ jobs: echo "STUDIO_EXTRA_OLD_PW=$OLD" >> "$GITHUB_ENV" echo "STUDIO_EXTRA_NEW_PW=$NEW" >> "$GITHUB_ENV" - - name: Drive Compare/Recipes/Export/Studio/Settings with Playwright + - name: Drive Compare/Recipes/Export/Unsloth/Settings with Playwright env: BASE_URL: http://127.0.0.1:18897 STUDIO_OLD_PW: ${{ env.STUDIO_EXTRA_OLD_PW }} @@ -280,8 +282,8 @@ jobs: STUDIO_UI_TURN_TIMEOUT_MS: '540000' GGUF_REPO: ${{ env.GGUF_REPO }} GGUF_VARIANT: ${{ env.GGUF_VARIANT }} - # Same pipeTransport JSON-crash retry shape as "Drive the chat - # UI with Playwright" -- see comment there. + # Same flake-retry shape as "Drive the chat UI with Playwright" -- catches + # pipeTransport JSON crash, ERR_NO_BUFFER_SPACE, and nav interrupts. run: | mkdir -p logs/playwright_extra attempt=1 @@ -294,9 +296,11 @@ jobs: if [ "$rc" -eq 0 ]; then break fi - if grep -q "Unexpected end of JSON input" logs/playwright_extra_attempt_${attempt}.log \ + if { grep -q "Unexpected end of JSON input" logs/playwright_extra_attempt_${attempt}.log \ + || grep -q "ERR_NO_BUFFER_SPACE" logs/playwright_extra_attempt_${attempt}.log \ + || grep -q "interrupted by another navigation" logs/playwright_extra_attempt_${attempt}.log; } \ && [ "$attempt" -lt "$max_attempts" ]; then - echo "::warning::Playwright pipeTransport JSON crash on attempt ${attempt}; resetting Studio and retrying..." + echo "::warning::Playwright flake on attempt ${attempt}; resetting Unsloth and retrying..." kill "${STUDIO_EXTRA_PID}" 2>/dev/null || true sleep 2 unsloth studio reset-password @@ -323,7 +327,7 @@ jobs: exit "$rc" done - - name: Stop second Studio + - name: Stop second Unsloth if: always() run: | kill "${STUDIO_EXTRA_PID}" 2>/dev/null || true diff --git a/.github/workflows/studio-mac-update-smoke.yml b/.github/workflows/studio-mac-update-smoke.yml index 07d26b9ab3..fe9880f3ca 100644 --- a/.github/workflows/studio-mac-update-smoke.yml +++ b/.github/workflows/studio-mac-update-smoke.yml @@ -4,15 +4,15 @@ # Mac counterpart to studio-update-smoke.yml. Verifies that on a real # Apple Silicon (macos-14, M1) runner: # -# 1. install.sh --local --no-torch installs Studio AND auto-fetches +# 1. install.sh --local --no-torch installs Unsloth AND auto-fetches # the prebuilt llama.cpp Mac binary (llama-bNNNN-bin-macos-arm64 # from ggml-org/llama.cpp). Hitting the source-build fallback is -# treated as an Unsloth bug -- Studio must always pick the +# treated as an Unsloth bug -- Unsloth must always pick the # prebuilt on Mac. # 2. unsloth studio update --local is idempotent. Two consecutive # runs both report "prebuilt up to date and validated", no # source-build fallback. -# 3. The installed Studio still boots and /api/health returns +# 3. The installed Unsloth still boots and /api/health returns # healthy after the update path. name: Mac Studio Update CI @@ -21,6 +21,7 @@ on: pull_request: paths: - 'install.sh' + - 'scripts/uninstall.sh' - 'studio/setup.sh' - 'studio/install_python_stack.py' - 'studio/install_llama_prebuilt.py' @@ -41,7 +42,7 @@ permissions: jobs: update-idempotency: - name: Studio Updating Tests + name: Unsloth Updating Tests runs-on: macos-14 timeout-minutes: 30 steps: @@ -58,33 +59,24 @@ jobs: python-version: '3.12' cache: 'pip' - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail bash install.sh --local --no-torch 2>&1 | tee logs/install.log - - name: Assert install.sh used the Mac llama.cpp prebuilt - run: | - # Mac install must take the prebuilt path. Source-build - # fallback here is an Unsloth bug. - if grep -q "falling back to source build" logs/install.log; then - echo "::error::install.sh fell back to source-build llama.cpp on Mac. Studio must install the prebuilt llama-bNNNN-bin-macos-arm64 on Apple Silicon." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi - if ! grep -qE "prebuilt installed and validated|prebuilt up to date and validated|bin-macos-arm64" logs/install.log; then - echo "::error::no Mac prebuilt llama.cpp marker in install.log." - grep -E "llama-prebuilt|llama.cpp" logs/install.log | tail -60 - exit 1 - fi - echo "install.sh installed the Mac prebuilt llama.cpp" + - name: Assert llama.cpp loads on this macOS + run: bash .github/scripts/assert-llama-loads.sh - name: First update should be a no-op (prebuilt already validated) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | set -o pipefail unsloth studio update --local 2>&1 | tee logs/update.log @@ -103,6 +95,8 @@ jobs: - name: Second update must also be a no-op env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | set -o pipefail unsloth studio update --local 2>&1 | tee logs/update2.log @@ -112,7 +106,7 @@ jobs: grep -qE "prebuilt up to date and validated|prebuilt installed and validated" logs/update2.log echo "second update was clean" - - name: Boot Studio briefly to confirm the install is still usable + - name: Boot Unsloth briefly to confirm the install is still usable run: | mkdir -p logs UNSLOTH_API_ONLY=1 unsloth studio -H 127.0.0.1 -p 18891 \ @@ -129,13 +123,45 @@ jobs: sleep 1 done if [ -z "$HEALTHY" ]; then - echo "Studio failed to come up after \`update\`" + echo "Unsloth failed to come up after \`update\`" tail -200 logs/studio.log kill "$PID" 2>/dev/null || true exit 1 fi kill "$PID" 2>/dev/null || true - echo "post-update Studio /api/health OK" + echo "post-update Unsloth /api/health OK" + + - name: Uninstall and verify clean + # Round-trip through scripts/uninstall.sh on real macOS. As a side + # effect this exercises the macOS-only .app bundle + Launch Services + # removal path (~/Applications/Unsloth Studio.app, lsregister -u) + # which is not testable from a Linux runner. Skips gracefully if + # scripts/uninstall.sh has not landed yet (lets this workflow merge + # before #5497). + run: | + set -o pipefail + if [ ! -f scripts/uninstall.sh ]; then + echo "scripts/uninstall.sh not present in this tree; skipping round-trip" + : > logs/uninstall.log + exit 0 + fi + sh scripts/uninstall.sh 2>&1 | tee logs/uninstall.log + leak=0 + for p in \ + "$HOME/.unsloth/studio" \ + "$HOME/.local/share/unsloth" \ + "$HOME/Applications/Unsloth Studio.app" \ + "$HOME/Desktop/Unsloth Studio.app" \ + "$HOME/.local/bin/unsloth"; do + if [ -e "$p" ] || [ -L "$p" ]; then + echo "::error::leak: $p" + leak=$((leak + 1)) + fi + done + [ "$leak" -eq 0 ] || exit 1 + sh scripts/uninstall.sh 2>&1 | tail -5 + sh scripts/uninstall.sh 2>&1 | tail -5 + echo "PASS: mac install -> update -> uninstall round-trip clean" - name: Upload update logs if: always() @@ -147,4 +173,5 @@ jobs: logs/update.log logs/update2.log logs/studio.log + logs/uninstall.log retention-days: 7 diff --git a/.github/workflows/studio-tauri-smoke.yml b/.github/workflows/studio-tauri-smoke.yml index 1156c264ae..8e26b9fd0c 100644 --- a/.github/workflows/studio-tauri-smoke.yml +++ b/.github/workflows/studio-tauri-smoke.yml @@ -12,7 +12,7 @@ # stay in release-desktop.yml (manual `workflow_dispatch`) because they need # code-signing secrets and ~30 min of runner time each. -name: Studio Tauri CI +name: Unsloth Tauri CI on: pull_request: @@ -47,7 +47,7 @@ jobs: run: | sudo apt-get update sudo apt-get install -y \ - libwebkit2gtk-4.1-dev libayatana-appindicator3-dev \ + libwebkit2gtk-4.1-dev libappindicator3-dev \ librsvg2-dev libxdo-dev libssl-dev patchelf - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 diff --git a/.github/workflows/studio-ui-smoke.yml b/.github/workflows/studio-ui-smoke.yml index 79476a62ea..b6d6d7d6e2 100644 --- a/.github/workflows/studio-ui-smoke.yml +++ b/.github/workflows/studio-ui-smoke.yml @@ -1,8 +1,8 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. -# End-to-end Studio chat UI smoke via Playwright + Chromium against a -# headless Linux runner. Boots Studio with the smallest GGUF +# End-to-end Unsloth chat UI smoke via Playwright + Chromium against a +# headless Linux runner. Boots Unsloth with the smallest GGUF # (gemma-3-270m-it UD-Q4_K_XL, ~254 MiB), drives the actual frontend # bundle, and asserts the full bootstrap-password / change-password / # send-message / persist-on-reload journey works end to end. @@ -14,7 +14,7 @@ # frontend-only CI happily pass while the actual user-visible UI is # broken (cf. the 2026.5.1 chat-history release). -name: Studio UI CI +name: Unsloth UI CI on: pull_request: @@ -76,28 +76,32 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail @@ -111,7 +115,7 @@ jobs: # warm runner. python -m playwright install --with-deps chromium - - name: Reset auth + boot Studio + - name: Reset auth + boot Unsloth run: | unsloth studio reset-password mkdir -p logs @@ -143,7 +147,7 @@ jobs: # NEW + NEW2 are generated freshly per CI run via secrets.token_urlsafe # rather than hardcoded. If a workflow gets compromised, the # attacker can't replay a known-good rotated password against - # any future / parallel Studio install -- the rotated value + # any future / parallel Unsloth install -- the rotated value # only ever exists for the lifetime of this single job, masked # in the log via ::add-mask::. run: | @@ -161,18 +165,18 @@ jobs: env: BASE_URL: http://127.0.0.1:18892 # The test file lives in the repo so it can be run locally - # against a freshly-installed Studio (BASE_URL=...; STUDIO_OLD_PW= + # against a freshly-installed Unsloth (BASE_URL=...; STUDIO_OLD_PW= # $(cat ~/.unsloth/studio/auth/.bootstrap_password); python ...). PW_ART_DIR: logs/playwright # Strict mode: in CI a missing button / nav / dialog must # FAIL the test. Locally the test still runs against partial - # Studio installs without STUDIO_UI_STRICT. + # Unsloth installs without STUDIO_UI_STRICT. STUDIO_UI_STRICT: '1' run: | mkdir -p logs/playwright python tests/studio/playwright_chat_ui.py - - name: Stop Studio (chat-ui ends with Shutdown click; this is belt-and-suspenders) + - name: Stop Unsloth (chat-ui ends with Shutdown click; this is belt-and-suspenders) if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true @@ -180,10 +184,10 @@ jobs: # The chat UI test ends by clicking the Shutdown menuitem, which # leaves the server dead. The extra UI test (Compare / Recipes / - # Export / Studio / Settings) needs a fresh Studio, so we boot a + # Export / Unsloth / Settings) needs a fresh Unsloth, so we boot a # second one on a different port. Boot is fast (~3-5s on the # warm install we already did) so this adds little wall time. - - name: Reset auth + boot Studio for extra UI tests (port 18894) + - name: Reset auth + boot Unsloth for extra UI tests (port 18894) run: | unsloth studio reset-password mkdir -p logs @@ -210,7 +214,7 @@ jobs: echo "STUDIO_EXTRA_OLD_PW=$OLD" >> "$GITHUB_ENV" echo "STUDIO_EXTRA_NEW_PW=$NEW" >> "$GITHUB_ENV" - - name: Drive Compare/Recipes/Export/Studio/Settings with Playwright + - name: Drive Compare/Recipes/Export/Unsloth/Settings with Playwright env: BASE_URL: http://127.0.0.1:18894 STUDIO_OLD_PW: ${{ env.STUDIO_EXTRA_OLD_PW }} @@ -223,18 +227,65 @@ jobs: mkdir -p logs/playwright_extra python tests/studio/playwright_extra_ui.py - - name: Stop second Studio + - name: Stop second Unsloth if: always() run: | kill "${STUDIO_EXTRA_PID}" 2>/dev/null || true sleep 2 + # IME + multilingual paste regression (issue #5318 / PR #5327). + # Third Unsloth on its own port so a hang here cannot poison the + # earlier UI tests. No GGUF -- the bug surface is the composer. + - name: Reset auth + boot Unsloth for IME / i18n tests (port 18896) + run: | + unsloth studio reset-password + mkdir -p logs + UNSLOTH_API_ONLY=1 unsloth studio -H 127.0.0.1 -p 18896 \ + > logs/studio_ime.log 2>&1 & + echo "STUDIO_IME_PID=$!" >> "$GITHUB_ENV" + + - name: Wait for /api/health on 18896 + run: | + for i in $(seq 1 180); do + if curl -fs "http://127.0.0.1:18896/api/health" > /tmp/health3.json; then + jq -e '.status == "healthy"' /tmp/health3.json && break + fi + sleep 1 + done + jq -e '.status == "healthy"' /tmp/health3.json + + - name: Pass bootstrap pw for IME / i18n test + # IME smoke does the change-password against the bootstrap that + # Unsloth's frontend injects into the page, so it only needs the + # NEW password. + run: | + NEW="CIIme-$(python -c 'import secrets; print(secrets.token_urlsafe(16))')" + echo "::add-mask::$NEW" + echo "STUDIO_IME_NEW_PW=$NEW" >> "$GITHUB_ENV" + + - name: Drive IME + multilingual paste regression with Playwright + env: + BASE_URL: http://127.0.0.1:18896 + STUDIO_NEW_PW: ${{ env.STUDIO_IME_NEW_PW }} + PW_ART_DIR: logs/playwright_ime + STUDIO_UI_STRICT: '1' + run: | + mkdir -p logs/playwright_ime + python tests/studio/playwright_chat_ime_i18n.py + + - name: Stop third Unsloth + if: always() + run: | + kill "${STUDIO_IME_PID}" 2>/dev/null || true + sleep 2 + # Capture backend + llama-server logs (all three Studios share this + # dir) so a stray 500 has a server-side traceback. + mkdir -p logs/server-logs + cp -r ~/.unsloth/studio/logs/. logs/server-logs/ 2>/dev/null || true + - name: Upload Playwright artifacts - # Always upload (not just failure) so a green run's screenshots - # are reviewable in the Actions UI -- catches "passed but the - # UI is silently broken" regressions that would be invisible - # otherwise. Both Studio's logs (chat + extra) and BOTH - # Playwright artifact dirs are bundled. + # Always upload so a green run's screenshots stay reviewable -- + # catches "passed but the UI is silently broken" regressions. if: always() uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: @@ -242,7 +293,10 @@ jobs: path: | logs/studio.log logs/studio_extra.log + logs/studio_ime.log logs/install.log + logs/server-logs/ logs/playwright logs/playwright_extra + logs/playwright_ime retention-days: 7 diff --git a/.github/workflows/studio-update-smoke.yml b/.github/workflows/studio-update-smoke.yml index 1c353e933a..625c2c7811 100644 --- a/.github/workflows/studio-update-smoke.yml +++ b/.github/workflows/studio-update-smoke.yml @@ -9,12 +9,13 @@ # This catches regressions in setup.sh's update path that the existing # GGUF / wheel jobs would miss because they only invoke install.sh once. -name: Studio Update CI +name: Unsloth Update CI on: pull_request: paths: - 'install.sh' + - 'scripts/uninstall.sh' - 'studio/setup.sh' - 'studio/install_python_stack.py' - 'studio/install_llama_prebuilt.py' @@ -35,7 +36,7 @@ permissions: jobs: update-idempotency: - name: Studio Updating Tests + name: Unsloth Updating Tests runs-on: ubuntu-latest timeout-minutes: 15 steps: @@ -62,7 +63,7 @@ jobs: # post-step then fatal-errors with "Cache folder path is # retrieved for pip but doesn't exist on disk". - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) # Pass the workflow token so the llama.cpp prebuilt installer's # GitHub-API call to list releases isn't rate-limited (60/hr # unauthenticated). Without this, three consecutive install + @@ -70,6 +71,8 @@ jobs: # prebuilt path falls back to source build. env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | mkdir -p logs set -o pipefail @@ -84,6 +87,8 @@ jobs: # idempotency regressed. env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | set -o pipefail unsloth studio update --local 2>&1 | tee logs/update.log @@ -106,6 +111,8 @@ jobs: # the first one. env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | set -o pipefail unsloth studio update --local 2>&1 | tee logs/update2.log @@ -115,7 +122,7 @@ jobs: grep -qE "prebuilt up to date and validated|prebuilt installed and validated" logs/update2.log echo "second update was clean" - - name: Boot Studio briefly to confirm the install is still usable + - name: Boot Unsloth briefly to confirm the install is still usable # If `update --local` accidentally broke the venv or wiped the # llama-server binary, the server would fail to start here. run: | @@ -131,17 +138,52 @@ jobs: sleep 1 done if ! jq -e '.status == "healthy"' /tmp/health.json 2>/dev/null; then - echo "Studio failed to come up after `update`" + echo "Unsloth failed to come up after `update`" tail -200 logs/studio.log kill "$PID" 2>/dev/null || true exit 1 fi kill "$PID" 2>/dev/null || true - echo "post-update Studio /api/health OK" + echo "post-update Unsloth /api/health OK" + + - name: Uninstall and verify clean + # Round-trip the installer through scripts/uninstall.sh: confirms the + # uninstaller actually finds and removes everything install.sh + + # update wrote. Safety-guard scenarios (refuse-$HOME etc.) belong + # in a separate fast smoke job; this is the happy-path cleanup + # assertion that catches regressions where install.sh starts + # writing to a new location and scripts/uninstall.sh hasn't caught up. + # Skips gracefully if scripts/uninstall.sh has not landed yet (lets + # this workflow merge before #5497). + run: | + set -o pipefail + if [ ! -f scripts/uninstall.sh ]; then + echo "scripts/uninstall.sh not present in this tree; skipping round-trip" + : > logs/uninstall.log + exit 0 + fi + sh scripts/uninstall.sh 2>&1 | tee logs/uninstall.log + leak=0 + for p in \ + "$HOME/.unsloth/studio" \ + "$HOME/.local/share/unsloth" \ + "$HOME/Desktop/Unsloth Studio.desktop" \ + "$HOME/.local/bin/unsloth"; do + if [ -e "$p" ] || [ -L "$p" ]; then + echo "::error::leak: $p" + ls -la "$p" 2>&1 | head -3 + leak=$((leak + 1)) + fi + done + [ "$leak" -eq 0 ] || exit 1 + # Idempotent: re-runs exit 0 on an empty $HOME. + sh scripts/uninstall.sh 2>&1 | tail -5 + sh scripts/uninstall.sh 2>&1 | tail -5 + echo "PASS: install -> update -> uninstall round-trip clean" - name: Upload update logs # Always upload so a green run still leaves the install + two - # update logs reviewable. + # update logs + uninstall log reviewable. if: always() uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: @@ -151,4 +193,5 @@ jobs: logs/update.log logs/update2.log logs/studio.log + logs/uninstall.log retention-days: 7 diff --git a/.github/workflows/studio-windows-api-smoke.yml b/.github/workflows/studio-windows-api-smoke.yml index 1d12ea6f90..6dbcceebbd 100644 --- a/.github/workflows/studio-windows-api-smoke.yml +++ b/.github/workflows/studio-windows-api-smoke.yml @@ -9,7 +9,7 @@ # (Section 6) is Linux-only and short-circuits on non-POSIX; the rest # is platform-portable. -name: Windows Studio API CI +name: Windows Unsloth API CI on: pull_request: @@ -34,7 +34,7 @@ permissions: jobs: api-smoke: - name: Studio API & Auth Tests + name: Unsloth API & Auth Tests runs-on: windows-latest timeout-minutes: 30 defaults: @@ -69,24 +69,26 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Pre-install Windows tweaks (npm 11 + Defender exclusions) shell: pwsh @@ -103,7 +105,7 @@ jobs: # studio-windows-update-smoke.yml for the full rationale -- # creating an empty studio/frontend/dist trips setup.ps1's # mtime-based staleness check into "frontend up to date, skip - # rebuild" and Studio boots with an empty dist directory. + # rebuild" and Unsloth boots with an empty dist directory. # Add-MpPreference accepts paths that do not yet exist. foreach ($p in @( "$env:USERPROFILE\.unsloth", @@ -119,10 +121,12 @@ jobs: } } - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) shell: pwsh env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | New-Item -ItemType Directory -Force -Path logs | Out-Null # *>&1 captures Write-Host (Information stream) output; @@ -157,7 +161,7 @@ jobs: echo "install.ps1 installed the Windows prebuilt llama.cpp:" cat "$INFO" - - name: Add Studio shim to GITHUB_PATH + - name: Add Unsloth shim to GITHUB_PATH # install.ps1's User-PATH update doesn't propagate to a # running Git Bash session; export the shim dir so the # next `unsloth ...` invocation finds it. @@ -170,24 +174,10 @@ jobs: fi cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" - - name: Patch Studio venv with full typer / pydantic dep trees - # Belt-and-suspenders: install.ps1's --no-deps install of - # no-torch-runtime.txt drops typer's and pydantic's runtime - # deps unless explicitly pinned. Re-install the ones whose - # deps don't pull torch. - run: | - STUDIO_PY=~/.unsloth/studio/unsloth_studio/Scripts/python.exe - if [ ! -f "$STUDIO_PY" ]; then - echo "::error::Studio venv python not at $STUDIO_PY" - ls -la ~/.unsloth/studio/ || true - exit 1 - fi - "$STUDIO_PY" -m pip install --upgrade typer pydantic huggingface_hub - - name: Install pyjwt for the JWT-expiry forge test run: python -m pip install 'pyjwt>=2.6' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -217,7 +207,7 @@ jobs: echo "STUDIO_NEW_PW=$NEW" >> "$GITHUB_ENV" echo "STUDIO_NEW2_PW=$NEW2" >> "$GITHUB_ENV" - - name: Run Studio API & Auth tests + - name: Run Unsloth API & Auth tests # Do NOT pin STUDIO_AUTH_DIR here. The Mac/Linux mirrors # hardcode runner-specific paths (/Users/runner/..., # /home/runner/...), but on Windows the path is @@ -229,7 +219,7 @@ jobs: BASE_URL: http://127.0.0.1:18895 run: python tests/studio/studio_api_smoke.py - - name: Stop Studio + - name: Stop Unsloth if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true diff --git a/.github/workflows/studio-windows-inference-smoke.yml b/.github/workflows/studio-windows-inference-smoke.yml index 01bf4127a7..3ebe442f52 100644 --- a/.github/workflows/studio-windows-inference-smoke.yml +++ b/.github/workflows/studio-windows-inference-smoke.yml @@ -1,7 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. -# Three end-to-end smoke jobs that boot a freshly-installed Studio and +# Three end-to-end smoke jobs that boot a freshly-installed Unsloth and # exercise the surfaces real users hit through the OpenAI / Anthropic # SDKs and curl, on the FREE windows-latest runner. Each job picks the # smallest model that exercises the behaviour under test, primes @@ -13,10 +13,10 @@ # 2. Tool calling Tests # Qwen3.5-2B UD-Q4_K_XL (~890 MiB). # 3. JSON, images -# gemma-4-E2B-it UD-Q4_K_XL + mmproj-F16 (~3.4 GiB total). +# Qwen3-VL-2B-Instruct UD-IQ2_XXS + mmproj-F16 (~1.4 GiB total). # Within the 14 GB windows-latest SSD budget. -name: Windows Studio GGUF CI +name: Windows Unsloth GGUF CI on: pull_request: @@ -26,6 +26,7 @@ on: - 'unsloth_cli/**' - 'install.ps1' - 'pyproject.toml' + - 'tests/studio_setup_ps1/**' - '.github/workflows/studio-windows-inference-smoke.yml' push: branches: [main, pip] @@ -56,7 +57,7 @@ jobs: STUDIO_PORT: '18888' HF_HOME: ${{ github.workspace }}/hf-cache # Force UTF-8 for stdio (Windows defaults to cp1252; hf - # download / Studio CLI print "✓" checkmarks and crash + # download / Unsloth CLI print "✓" checkmarks and crash # otherwise). PYTHONIOENCODING: utf-8 PYTHONUTF8: '1' @@ -65,6 +66,35 @@ jobs: with: persist-credentials: false + # Fast GPU-free gate: parse install.ps1 + setup.ps1 and run the PowerShell + # unit tests (CUDA-toolkit + torch-flavor helpers) before the heavy GGUF smoke. + - name: PowerShell installer unit tests + shell: pwsh + run: | + foreach ($f in @('install.ps1', 'studio/setup.ps1')) { + $errs = $null + [void][System.Management.Automation.Language.Parser]::ParseFile( + (Resolve-Path $f).Path, [ref]$null, [ref]$errs) + if ($errs) { $errs | ForEach-Object { $_.ToString() }; exit 1 } + Write-Host "$f parsed with no errors" + } + pwsh -NoProfile -File tests/studio/test_resolve_cuda_toolkit.ps1 + pwsh -NoProfile -File tests/studio/test_torch_flavor.ps1 + pwsh -NoProfile -File tests/studio/test_node_decision.ps1 + pwsh -NoProfile -File tests/studio/test_node_probe_guard.ps1 + + # uninstall.ps1: native uninstall must keep the shared unsloth.ico while a + # WSL shortcut still references it (dual install), else that shortcut blanks. + - name: uninstall.ps1 unit test (dual-install icon preserve) + shell: pwsh + run: | + $errs = $null + [void][System.Management.Automation.Language.Parser]::ParseFile( + (Resolve-Path scripts/uninstall.ps1).Path, [ref]$null, [ref]$errs) + if ($errs) { $errs | ForEach-Object { $_.ToString() }; exit 1 } + Write-Host "uninstall.ps1 parsed with no errors" + pwsh -NoProfile -File tests/studio/test_uninstall_dual_install_icon.ps1 + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 with: node-version: '22' @@ -89,7 +119,7 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf @@ -97,11 +127,13 @@ jobs: # described above (outcome != success). if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME cache for ${{ env.GGUF_REPO }} # Only write a fresh cache entry when we actually rebuilt the @@ -111,7 +143,7 @@ jobs: uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Pre-install Windows tweaks (npm 11 + Defender exclusions) shell: pwsh @@ -128,7 +160,7 @@ jobs: # studio-windows-update-smoke.yml for the full rationale -- # creating an empty studio/frontend/dist trips setup.ps1's # mtime-based staleness check into "frontend up to date, skip - # rebuild" and Studio boots with an empty dist directory. + # rebuild" and Unsloth boots with an empty dist directory. # Add-MpPreference accepts paths that do not yet exist. foreach ($p in @( "$env:USERPROFILE\.unsloth", @@ -144,10 +176,12 @@ jobs: } } - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) shell: pwsh env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | New-Item -ItemType Directory -Force -Path logs | Out-Null # *>&1 captures Write-Host (Information stream) output; @@ -180,7 +214,7 @@ jobs: echo "install.ps1 installed the Windows prebuilt llama.cpp:" cat "$INFO" - - name: Add Studio shim to GITHUB_PATH + - name: Add Unsloth shim to GITHUB_PATH run: | SHIM_DIR=~/.unsloth/studio/bin if [ ! -f "$SHIM_DIR/unsloth.exe" ]; then @@ -190,24 +224,10 @@ jobs: fi cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" - - name: Patch Studio venv with full typer / pydantic dep trees - # Belt-and-suspenders: install.ps1's --no-deps install of - # no-torch-runtime.txt drops typer's and pydantic's runtime - # deps unless explicitly pinned. Re-install the ones whose - # deps don't pull torch. - run: | - STUDIO_PY=~/.unsloth/studio/unsloth_studio/Scripts/python.exe - if [ ! -f "$STUDIO_PY" ]; then - echo "::error::Studio venv python not at $STUDIO_PY" - ls -la ~/.unsloth/studio/ || true - exit 1 - fi - "$STUDIO_PY" -m pip install --upgrade typer pydantic huggingface_hub - - name: Install OpenAI + Anthropic Python SDKs run: python -m pip install 'openai>=1.50' 'anthropic>=0.40' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -224,7 +244,7 @@ jobs: fi sleep 1 done - echo "Studio did not become healthy in 180s" + echo "Unsloth did not become healthy in 180s" tail -200 logs/studio.log exit 1 @@ -258,11 +278,26 @@ jobs: - name: Load the GGUF (HF repo + variant, served from HF_HOME cache) run: | - curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ - -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ - --max-time 600 \ - -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}" \ - | jq '{status, display_name, is_gguf, context_length}' + # Retry the load step a few times so a transient TCP RST during + # llama-server warm-up (Windows runner image churn, + # windows-latest -> windows-2025-vs2026 rollout) doesn't fail + # the whole job. The Unsloth backend's _wait_for_health now + # catches httpx.ReadError too; this retry layer covers the + # cases the backend can't recover from on its own. + LOAD_OK=0 + for attempt in 1 2 3; do + HTTP=$(curl -s -o /tmp/load.json -w '%{http_code}' \ + -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ + -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ + --max-time 600 \ + -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}") + if [ "$HTTP" = "200" ]; then LOAD_OK=1; break; fi + echo "::warning::/api/inference/load attempt $attempt returned $HTTP; response:" + cat /tmp/load.json || true + sleep 10 + done + [ "$LOAD_OK" = "1" ] || { echo "::error::/api/inference/load failed 3 attempts"; exit 22; } + jq '{status, display_name, is_gguf, context_length}' /tmp/load.json - name: Multi-turn determinism via OpenAI + Anthropic SDKs env: @@ -330,7 +365,14 @@ jobs: for i, (a, b) in enumerate(zip(first, second), start = 1): print(f"[{label} turn {i}] {a!r}") assert a, f"{label}: empty turn {i} response" - assert a == b, ( + # Compare on stripped content: llama-server can vary + # trailing whitespace (specifically a final '\n') between + # otherwise-identical greedy runs depending on the + # batch-flush boundary at which the stream is closed. The + # generated tokens are identical; only the trailing + # whitespace differs. Keep the raw repr in the failure + # message so a real divergence is still legible. + assert a.strip() == b.strip(), ( f"{label} non-deterministic at turn {i} with temperature=0.0:\n" f" run1: {a!r}\n run2: {b!r}" ) @@ -340,24 +382,43 @@ jobs: print(f"[{label}] OK -- 4 turns, run1 == run2, history grounded") PY - - name: Stop Studio + - name: Stop Unsloth if: always() # Run as cmd so we are not running through the Git Bash shell; # Git Bash on windows-latest has been observed to exit 143 # (SIGTERM) from any inline kill/sleep block, masking a green - # test run. The runner reclaims the Studio child process at + # test run. The runner reclaims the Unsloth child process at # job end either way, so just emit a marker and exit 0. shell: cmd - run: echo Stop Studio (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + run: echo Stop Unsloth (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + + - name: Collect llama-server logs + if: always() + # A transient Windows DLL-init crash (0xC0000142) in this diagnostic + # copy must not fail an otherwise-green job. + continue-on-error: true + shell: bash + # Copy llama-server's own stdout/stderr (teed by Unsloth under + # ~/.unsloth/studio/logs/llama-server/) into the workspace so + # upload-artifact can pick it up. Crucial for diagnosing a + # subprocess crash where Unsloth's traceback only shows the + # symptom (httpx ReadError) but not the cause. + run: | + mkdir -p logs/llama-server + cp -v ~/.unsloth/studio/logs/llama-server/*.log logs/llama-server/ 2>/dev/null || \ + echo "no llama-server logs to collect" - name: Upload logs if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: windows-openai-anthropic-log path: | logs/studio.log logs/install.log + logs/llama-server/*.log retention-days: 7 # ───────────────────────────────────────────────────────────────────── @@ -378,14 +439,14 @@ jobs: # (211 s on first run; subsequent runs hit the cache, but the # one-time cost recurs every time the cache key bumps). Use # main's `--local-dir gguf-cache` pattern: cache the flat .gguf - # only, pass an absolute path to Studio's /api/inference/load. + # only, pass an absolute path to Unsloth's /api/inference/load. # The OpenAI/Anth and JSON+images jobs still cover the # gguf_variant resolution path. GGUF_REPO: unsloth/Qwen3.5-2B-GGUF GGUF_FILE: Qwen3.5-2B-UD-Q4_K_XL.gguf STUDIO_PORT: '18898' # Force UTF-8 for stdio (Windows defaults to cp1252; hf - # download / Studio CLI print "✓" checkmarks and crash + # download / Unsloth CLI print "✓" checkmarks and crash # otherwise). PYTHONIOENCODING: utf-8 PYTHONUTF8: '1' @@ -417,7 +478,8 @@ jobs: id: download-gguf if: steps.cache-gguf.outputs.cache-hit != 'true' || steps.cache-gguf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p gguf-cache @@ -445,7 +507,7 @@ jobs: # studio-windows-update-smoke.yml for the full rationale -- # creating an empty studio/frontend/dist trips setup.ps1's # mtime-based staleness check into "frontend up to date, skip - # rebuild" and Studio boots with an empty dist directory. + # rebuild" and Unsloth boots with an empty dist directory. # Add-MpPreference accepts paths that do not yet exist. foreach ($p in @( "$env:USERPROFILE\.unsloth", @@ -461,10 +523,12 @@ jobs: } } - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) shell: pwsh env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | New-Item -ItemType Directory -Force -Path logs | Out-Null # *>&1 captures Write-Host (Information stream) output; @@ -497,7 +561,7 @@ jobs: echo "install.ps1 installed the Windows prebuilt llama.cpp:" cat "$INFO" - - name: Add Studio shim to GITHUB_PATH + - name: Add Unsloth shim to GITHUB_PATH run: | SHIM_DIR=~/.unsloth/studio/bin if [ ! -f "$SHIM_DIR/unsloth.exe" ]; then @@ -507,21 +571,7 @@ jobs: fi cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" - - name: Patch Studio venv with full typer / pydantic dep trees - # Belt-and-suspenders: install.ps1's --no-deps install of - # no-torch-runtime.txt drops typer's and pydantic's runtime - # deps unless explicitly pinned. Re-install the ones whose - # deps don't pull torch. - run: | - STUDIO_PY=~/.unsloth/studio/unsloth_studio/Scripts/python.exe - if [ ! -f "$STUDIO_PY" ]; then - echo "::error::Studio venv python not at $STUDIO_PY" - ls -la ~/.unsloth/studio/ || true - exit 1 - fi - "$STUDIO_PY" -m pip install --upgrade typer pydantic huggingface_hub - - - name: Reset auth + boot Studio (API-only, default tool policy) + - name: Reset auth + boot Unsloth (API-only, default tool policy) run: | unsloth studio reset-password mkdir -p logs @@ -557,15 +607,25 @@ jobs: # raw string, but we cannot embed `\a` etc. in JSON without # JSON-string-escaping every backslash. Replace `\` with `/` # via bash parameter expansion -- pathlib.Path on Windows - # accepts forward slashes natively, so Studio's loader sees + # accepts forward slashes natively, so Unsloth's loader sees # a normal path. GGUF_PATH="${GITHUB_WORKSPACE//\\//}/gguf-cache/${GGUF_FILE}" ls -lh "$GGUF_PATH" - curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ - -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ - --max-time 600 \ - -d "{\"model_path\":\"$GGUF_PATH\",\"is_lora\":false,\"max_seq_length\":2048}" \ - | jq '{status, display_name}' + # Retry: same rationale as the OpenAI/Anthropic job. + LOAD_OK=0 + for attempt in 1 2 3; do + HTTP=$(curl -s -o /tmp/load.json -w '%{http_code}' \ + -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ + -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ + --max-time 600 \ + -d "{\"model_path\":\"$GGUF_PATH\",\"is_lora\":false,\"max_seq_length\":2048}") + if [ "$HTTP" = "200" ]; then LOAD_OK=1; break; fi + echo "::warning::/api/inference/load attempt $attempt returned $HTTP; response:" + cat /tmp/load.json || true + sleep 10 + done + [ "$LOAD_OK" = "1" ] || { echo "::error::/api/inference/load failed 3 attempts"; exit 22; } + jq '{status, display_name}' /tmp/load.json - name: Tool calling, server-side tools, thinking on/off env: @@ -574,6 +634,8 @@ jobs: python - <<'PY' import json import os + import time + import urllib.error import urllib.request BASE = os.environ["BASE_URL"] @@ -596,10 +658,41 @@ jobs: "Content-Type": "application/json", }, ) - with urllib.request.urlopen(req, timeout = timeout) as resp: - return resp.status, json.loads(resp.read().decode()) - - def post_sse(path, body, *, timeout = 600): + # Shared CI runners stall sporadically, so retry transport-level + # failures only; HTTP status errors surface immediately. Bounded + # to fit the job's timeout-minutes: short probes get 3 full + # attempts, long probes one retry capped at 300s (a healthy + # server answers a retry quickly; a stalled one never does). + attempts = 3 if timeout <= 300 else 2 + for attempt in range(attempts): + try: + t = timeout if attempt == 0 else min(timeout, 300) + with urllib.request.urlopen(req, timeout = t) as resp: + return resp.status, json.loads(resp.read().decode()) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + if attempt == attempts - 1: + raise + print(f"[retry] {path}: {exc!r}", flush = True) + time.sleep(15) + + def post_sse(path, body, *, timeout = 600, retries = 1, soft = False): + # The server-side agentic loop always answers over SSE. A + # shared CI runner can stall the stream transport (the + # connection opening, or a mid-stream read) even when Unsloth + # is healthy, so harden the read three ways: + # * retry a transport stall once with a fresh request, + # capped at 300s (a healthy server answers a retry + # quickly, a wedged one never does); + # * return any text already streamed before a stall, so a + # stall on the trailing tokens -- after the answer + # arrived -- still counts; + # * when every attempt yields nothing, a hard call + # re-raises while a soft call (the best-effort + # server-side tool probes) returns None so the caller + # can WARN instead of sinking the whole job. + # HTTP status errors always surface immediately. body = {**body, "stream": True} data = json.dumps(body).encode() req = urllib.request.Request( @@ -611,24 +704,43 @@ jobs: "Content-Type": "application/json", }, ) - parts = [] - with urllib.request.urlopen(req, timeout = timeout) as resp: - for raw in resp: - line = raw.decode().strip() - if not line.startswith("data: "): - continue - payload = line[6:] - if payload == "[DONE]": - break - try: - chunk = json.loads(payload) - except json.JSONDecodeError: - continue - for choice in chunk.get("choices", []): - delta = choice.get("delta", {}) or {} - if delta.get("content"): - parts.append(delta["content"]) - return "".join(parts) + for attempt in range(retries + 1): + parts = [] + t = timeout if attempt == 0 else min(timeout, 300) + try: + with urllib.request.urlopen(req, timeout = t) as resp: + for raw in resp: + line = raw.decode().strip() + if not line.startswith("data: "): + continue + payload = line[6:] + if payload == "[DONE]": + break + try: + chunk = json.loads(payload) + except json.JSONDecodeError: + continue + for choice in chunk.get("choices", []): + delta = choice.get("delta", {}) or {} + if delta.get("content"): + parts.append(delta["content"]) + return "".join(parts) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + # Text already streamed is a valid signal -- keep it + # rather than re-running a heavy generation. + if parts: + joined = "".join(parts) + print(f"[retry-sse] {path}: {exc!r}; keeping {len(joined)} partial chars", flush = True) + return joined + if attempt == retries: + if soft: + print(f"[tools] WARN {path}: SSE transport stalled with no data ({exc!r}) -- non-blocking", flush = True) + return None + raise + print(f"[retry-sse] {path}: {exc!r}", flush = True) + time.sleep(15) # ── 1. Standard OpenAI function calling ────────────────────── weather_tool = { @@ -671,16 +783,24 @@ jobs: ) # ── 2. Server-side python tool ─────────────────────────────── + # Bound each soft probe to a single 180s attempt (timeout=180, + # retries=0): this job runs two of them back-to-back under a + # 30-minute cap, so the default 600+15+300s per stall could hit + # the workflow timeout before the thinking checks run. A soft + # probe only WARNs anyway, so a retry buys nothing. content = post_sse("/v1/chat/completions", { "messages": [{"role": "user", "content": "What is 123 * 456? Use the python tool to compute it and tell me the number."}], "enable_tools": True, + "permission_mode": "full", "enabled_tools": ["python"], "session_id": "ci-tool-calling-py", "temperature": TEMP, "seed": SEED, "max_tokens": 600, - }) - if "56088" in content or "56,088" in content: + }, timeout = 180, retries = 0, soft = True) + if content is None: + print("[tools] WARN python tool: SSE transport stalled after retries -- non-blocking") + elif "56088" in content or "56,088" in content: print(f"[tools] PASS python tool ({len(content)} chars, found 56088)") else: assert content, "python tool: SSE stream empty" @@ -697,13 +817,16 @@ jobs: content = post_sse("/v1/chat/completions", { "messages": [{"role": "user", "content": "Use the terminal tool to run `echo hello-bash-tool` and tell me the exact output."}], "enable_tools": True, + "permission_mode": "full", "enabled_tools": ["terminal"], "session_id": "ci-tool-calling-bash", "temperature": TEMP, "seed": SEED, "max_tokens": 600, - }) - if "hello-bash-tool" in content: + }, timeout = 180, retries = 0, soft = True) + if content is None: + print("[tools] WARN terminal tool: SSE transport stalled after retries -- non-blocking") + elif "hello-bash-tool" in content: print(f"[tools] PASS terminal tool ({len(content)} chars)") else: assert content, "terminal tool: SSE stream empty" @@ -719,12 +842,13 @@ jobs: content = post_sse("/v1/chat/completions", { "messages": [{"role": "user", "content": "Search the web for 'unsloth ai github' and summarise."}], "enable_tools": True, + "permission_mode": "full", "enabled_tools": ["web_search"], "session_id": "ci-tool-calling-web", "temperature": TEMP, "seed": SEED, "max_tokens": 400, - }) + }, timeout = 180, retries = 0) print(f"[tools] PASS web_search stream ({len(content)} chars)") except Exception as exc: print(f"[tools] WARN web_search probe failed (non-blocking): {exc}") @@ -758,24 +882,43 @@ jobs: print(f"[tools] PASS thinking on/off (on={len(on_text)} chars, off={len(off_text)} chars)") PY - - name: Stop Studio + - name: Stop Unsloth if: always() # Run as cmd so we are not running through the Git Bash shell; # Git Bash on windows-latest has been observed to exit 143 # (SIGTERM) from any inline kill/sleep block, masking a green - # test run. The runner reclaims the Studio child process at + # test run. The runner reclaims the Unsloth child process at # job end either way, so just emit a marker and exit 0. shell: cmd - run: echo Stop Studio (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + run: echo Stop Unsloth (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + + - name: Collect llama-server logs + if: always() + # A transient Windows DLL-init crash (0xC0000142) in this diagnostic + # copy must not fail an otherwise-green job. + continue-on-error: true + shell: bash + # Copy llama-server's own stdout/stderr (teed by Unsloth under + # ~/.unsloth/studio/logs/llama-server/) into the workspace so + # upload-artifact can pick it up. Crucial for diagnosing a + # subprocess crash where Unsloth's traceback only shows the + # symptom (httpx ReadError) but not the cause. + run: | + mkdir -p logs/llama-server + cp -v ~/.unsloth/studio/logs/llama-server/*.log logs/llama-server/ 2>/dev/null || \ + echo "no llama-server logs to collect" - name: Upload logs if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: windows-tool-calling-log path: | logs/studio.log logs/install.log + logs/llama-server/*.log retention-days: 7 # ───────────────────────────────────────────────────────────────────── @@ -789,14 +932,14 @@ jobs: run: shell: bash env: - GGUF_REPO: unsloth/gemma-4-E2B-it-GGUF - GGUF_VARIANT: UD-Q4_K_XL - GGUF_FILE: gemma-4-E2B-it-UD-Q4_K_XL.gguf + GGUF_REPO: unsloth/Qwen3-VL-2B-Instruct-GGUF + GGUF_VARIANT: UD-IQ2_XXS + GGUF_FILE: Qwen3-VL-2B-Instruct-UD-IQ2_XXS.gguf MMPROJ_FILE: mmproj-F16.gguf STUDIO_PORT: '18899' HF_HOME: ${{ github.workspace }}/hf-cache # Force UTF-8 for stdio (Windows defaults to cp1252; hf - # download / Studio CLI print "✓" checkmarks and crash + # download / Unsloth CLI print "✓" checkmarks and crash # otherwise). PYTHONIOENCODING: utf-8 PYTHONUTF8: '1' @@ -825,25 +968,27 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v2 - name: Prime HF_HOME with the GGUF + mmproj id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$MMPROJ_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME cache for ${{ env.GGUF_REPO }} (model + mmproj) if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-${{ env.MMPROJ_FILE }}-v2 - name: Pre-install Windows tweaks (npm 11 + Defender exclusions) shell: pwsh @@ -860,7 +1005,7 @@ jobs: # studio-windows-update-smoke.yml for the full rationale -- # creating an empty studio/frontend/dist trips setup.ps1's # mtime-based staleness check into "frontend up to date, skip - # rebuild" and Studio boots with an empty dist directory. + # rebuild" and Unsloth boots with an empty dist directory. # Add-MpPreference accepts paths that do not yet exist. foreach ($p in @( "$env:USERPROFILE\.unsloth", @@ -876,10 +1021,12 @@ jobs: } } - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) shell: pwsh env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | New-Item -ItemType Directory -Force -Path logs | Out-Null # *>&1 captures Write-Host (Information stream) output; @@ -912,7 +1059,7 @@ jobs: echo "install.ps1 installed the Windows prebuilt llama.cpp:" cat "$INFO" - - name: Add Studio shim to GITHUB_PATH + - name: Add Unsloth shim to GITHUB_PATH run: | SHIM_DIR=~/.unsloth/studio/bin if [ ! -f "$SHIM_DIR/unsloth.exe" ]; then @@ -922,24 +1069,10 @@ jobs: fi cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" - - name: Patch Studio venv with full typer / pydantic dep trees - # Belt-and-suspenders: install.ps1's --no-deps install of - # no-torch-runtime.txt drops typer's and pydantic's runtime - # deps unless explicitly pinned. Re-install the ones whose - # deps don't pull torch. - run: | - STUDIO_PY=~/.unsloth/studio/unsloth_studio/Scripts/python.exe - if [ ! -f "$STUDIO_PY" ]; then - echo "::error::Studio venv python not at $STUDIO_PY" - ls -la ~/.unsloth/studio/ || true - exit 1 - fi - "$STUDIO_PY" -m pip install --upgrade typer pydantic huggingface_hub - - name: Install OpenAI + Anthropic Python SDKs run: python -m pip install 'openai>=1.50' 'anthropic>=0.40' - - name: Reset auth + boot Studio (API-only) + - name: Reset auth + boot Unsloth (API-only) run: | unsloth studio reset-password mkdir -p logs @@ -970,11 +1103,21 @@ jobs: -H 'content-type: application/json' \ -d "{\"username\":\"unsloth\",\"password\":\"$NEW\"}" | jq -r .access_token) echo "API_KEY=$TOKEN" >> "$GITHUB_ENV" - curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ - -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ - --max-time 900 \ - -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}" \ - | jq '{status, display_name, is_vision}' + # Retry: same rationale as the OpenAI/Anthropic and Tool calling jobs. + LOAD_OK=0 + for attempt in 1 2 3; do + HTTP=$(curl -s -o /tmp/load.json -w '%{http_code}' \ + -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ + -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ + --max-time 900 \ + -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}") + if [ "$HTTP" = "200" ]; then LOAD_OK=1; break; fi + echo "::warning::/api/inference/load attempt $attempt returned $HTTP; response:" + cat /tmp/load.json || true + sleep 10 + done + [ "$LOAD_OK" = "1" ] || { echo "::error::/api/inference/load failed 3 attempts"; exit 22; } + jq '{status, display_name, is_vision}' /tmp/load.json - name: JSON schema decoding + image input env: @@ -984,6 +1127,8 @@ jobs: import base64 import json import os + import time + import urllib.error import urllib.request from openai import OpenAI from anthropic import Anthropic @@ -1003,8 +1148,24 @@ jobs: "Content-Type": "application/json", }, ) - with urllib.request.urlopen(req, timeout = timeout) as resp: - return resp.status, json.loads(resp.read().decode()) + # Shared CI runners stall sporadically, so retry transport-level + # failures only; HTTP status errors surface immediately. Bounded + # to fit the job's timeout-minutes: short probes get 3 full + # attempts, long probes one retry capped at 300s (a healthy + # server answers a retry quickly; a stalled one never does). + attempts = 3 if timeout <= 300 else 2 + for attempt in range(attempts): + try: + t = timeout if attempt == 0 else min(timeout, 300) + with urllib.request.urlopen(req, timeout = t) as resp: + return resp.status, json.loads(resp.read().decode()) + except urllib.error.HTTPError: + raise + except (TimeoutError, ConnectionError, urllib.error.URLError) as exc: + if attempt == attempts - 1: + raise + print(f"[retry] {path}: {exc!r}", flush = True) + time.sleep(15) # ── 1. response_format = json_object (JSON mode) ───────────── status, data = post("/v1/chat/completions", { @@ -1073,7 +1234,7 @@ jobs: ) data_uri = f"data:image/png;base64,{PNG_64X64_RED_B64}" - # On Windows + the gemma-4-E2B mmproj, llama.cpp's vision + # On Windows + the Qwen3-VL mmproj, llama.cpp's vision # path runs on CPU (no Metal involvement). The wrapper is # kept for resilience but the vision path is expected to # work on Windows; an exception here is a real regression. @@ -1101,7 +1262,7 @@ jobs: except Exception as exc: print( f"[image/openai] WARN image_url SDK call raised: {type(exc).__name__}: " - f"{exc}. Studio successfully forwarded the request; failure here is " + f"{exc}. Unsloth successfully forwarded the request; failure here is " f"upstream llama.cpp vision behaviour." ) @@ -1142,26 +1303,663 @@ jobs: print( f"[image/anthropic] WARN anthropic image SDK call raised: " f"{type(exc).__name__}: {exc}. Likely upstream llama.cpp vision " - f"behaviour, NOT a Studio regression." + f"behaviour, NOT an Unsloth regression." ) PY - - name: Stop Studio + - name: Stop Unsloth if: always() # Run as cmd so we are not running through the Git Bash shell; # Git Bash on windows-latest has been observed to exit 143 # (SIGTERM) from any inline kill/sleep block, masking a green - # test run. The runner reclaims the Studio child process at + # test run. The runner reclaims the Unsloth child process at # job end either way, so just emit a marker and exit 0. shell: cmd - run: echo Stop Studio (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + run: echo Stop Unsloth (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + + - name: Collect llama-server logs + if: always() + # A transient Windows DLL-init crash (0xC0000142) in this diagnostic + # copy must not fail an otherwise-green job. + continue-on-error: true + shell: bash + # Copy llama-server's own stdout/stderr (teed by Unsloth under + # ~/.unsloth/studio/logs/llama-server/) into the workspace so + # upload-artifact can pick it up. Crucial for diagnosing a + # subprocess crash where Unsloth's traceback only shows the + # symptom (httpx ReadError) but not the cause. + run: | + mkdir -p logs/llama-server + cp -v ~/.unsloth/studio/logs/llama-server/*.log logs/llama-server/ 2>/dev/null || \ + echo "no llama-server logs to collect" - name: Upload logs if: always() + # Diagnostic only: a transient artifact-service drop must not fail a green job. + continue-on-error: true uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 with: name: windows-json-images-log path: | logs/studio.log logs/install.log + logs/llama-server/*.log + retention-days: 7 + + # ── folded from studio-windows-no-vs-smoke.yml: install + run with no Visual Studio ── + no-vs-cpu: + name: Unsloth install + inference without Visual Studio + runs-on: windows-latest + timeout-minutes: 35 + defaults: + run: + shell: bash + env: + GGUF_REPO: unsloth/gemma-3-270m-it-GGUF + GGUF_VARIANT: UD-Q4_K_XL + GGUF_FILE: gemma-3-270m-it-UD-Q4_K_XL.gguf + STUDIO_PORT: '18820' + HF_HOME: ${{ github.workspace }}/hf-cache + PYTHONIOENCODING: utf-8 + PYTHONUTF8: '1' + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6.4.0 + with: + node-version: '22' + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + + - name: Restore HF_HOME for ${{ env.GGUF_REPO }} + id: cache-hf + uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + continue-on-error: true + with: + path: hf-cache + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 + + - name: Prime HF_HOME with the GGUF + id: prime-hf + if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' + env: + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} + run: | + python -m pip install --upgrade huggingface_hub + mkdir -p hf-cache + bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf + + - name: Save HF_HOME for ${{ env.GGUF_REPO }} + if: always() && steps.prime-hf.outcome == 'success' + uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 + with: + path: hf-cache + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 + + - name: Pre-install Windows tweaks (npm 11 + Defender exclusions) + shell: pwsh + run: | + $ProgressPreference = 'SilentlyContinue' + npm install -g 'npm@^11' 2>&1 | Out-Host + foreach ($p in @( + "$env:USERPROFILE\.unsloth", + "$env:USERPROFILE\AppData\Local\uv", + "$env:GITHUB_WORKSPACE\studio\frontend\node_modules", + "$env:GITHUB_WORKSPACE\studio\frontend\dist" + )) { + try { Add-MpPreference -ExclusionPath $p -ErrorAction Stop } catch { } + } + + - name: Prepare no-build-tools simulation + shell: pwsh + run: | + $ErrorActionPreference = 'Stop' + $root = Join-Path $env:GITHUB_WORKSPACE 'no-build-tools' + $pf = Join-Path $root 'ProgramFiles' + $pfx86 = Join-Path $root 'ProgramFilesx86' + New-Item -ItemType Directory -Force -Path $pf, $pfx86 | Out-Null + + $blocked = [System.Collections.Generic.HashSet[string]]::new([StringComparer]::OrdinalIgnoreCase) + foreach ($tool in @('cmake', 'cl.exe')) { + foreach ($cmd in (Get-Command $tool -All -ErrorAction SilentlyContinue)) { + if ($cmd.Source) { + $dir = Split-Path -Parent $cmd.Source + if ($dir) { + [void] $blocked.Add( + [Environment]::ExpandEnvironmentVariables($dir).Trim().Trim('"').TrimEnd('\')) + } + } + } + } + # Normalized comparison so registry spellings (trailing slash, + # unexpanded %VAR%) still match. + function Test-Blocked([string]$p) { + $n = [Environment]::ExpandEnvironmentVariables($p).Trim().Trim('"').TrimEnd('\') + return $blocked.Contains($n) + } + + $pathParts = $env:Path -split [IO.Path]::PathSeparator | + Where-Object { $_ -and -not (Test-Blocked $_) } + $noBuildToolsPath = $pathParts -join [IO.Path]::PathSeparator + + # install.ps1's Refresh-SessionPath and setup.ps1's Refresh-Environment + # rebuild the session Path from these scopes mid-install, so filter + # them too. Originals are saved for the cleanup step. + foreach ($scope in @('Machine', 'User')) { + $orig = [Environment]::GetEnvironmentVariable('Path', $scope) + if (-not $orig) { continue } + Set-Content -LiteralPath (Join-Path $root "orig-path-$scope.txt") -Value $orig -NoNewline + $kept = ($orig -split ';' | Where-Object { $_ -and -not (Test-Blocked $_) }) -join ';' + [Environment]::SetEnvironmentVariable('Path', $kept, $scope) + Write-Host "Filtered $scope Path scope." + } + + "NO_BUILD_TOOLS_PROGRAMFILES=$pf" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8 + "NO_BUILD_TOOLS_PROGRAMFILES_X86=$pfx86" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8 + "NO_BUILD_TOOLS_PATH<&1 | Tee-Object -FilePath logs/install.log + + - name: Assert prebuilt used AND no build tools were installed + run: | + LLAMA_DIR=~/.unsloth/llama.cpp + INFO="$LLAMA_DIR/UNSLOTH_PREBUILT_INFO.json" + BIN="$LLAMA_DIR/build/bin/Release/llama-server.exe" + fail=0 + if grep -q "falling back to source build" logs/install.log; then + echo "::error::install.ps1 fell back to source-build llama.cpp without VS."; fail=1 + fi + # The deferred build-tool installs must NOT run on the prebuilt path. + for pat in "Kitware.CMake" "Microsoft.VisualStudio.2022.BuildTools" "installing via winget"; do + if grep -qi "$pat" logs/install.log; then + echo "::error::unexpected build-tool install on the prebuilt path: '$pat'"; fail=1 + fi + done + [ -f "$INFO" ] || { echo "::error::no UNSLOTH_PREBUILT_INFO.json"; ls -la "$LLAMA_DIR" || true; fail=1; } + [ -f "$BIN" ] || { echo "::error::no llama-server.exe"; ls -la "$LLAMA_DIR/build/bin" || true; fail=1; } + if [ "$fail" != "0" ]; then grep -iE "cmake|visual studio|prebuilt|source build" logs/install.log | tail -60; exit 1; fi + echo "Prebuilt installed with no build tools:" + cat "$INFO" + + - name: Add Unsloth shim to GITHUB_PATH + run: | + SHIM_DIR=~/.unsloth/studio/bin + [ -f "$SHIM_DIR/unsloth.exe" ] || { echo "::error::unsloth.exe shim not found"; ls -la ~/.unsloth/studio/ || true; exit 1; } + cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" + + - name: Reset auth + boot Unsloth (API-only) + run: | + unsloth studio reset-password + mkdir -p logs + UNSLOTH_API_ONLY=1 unsloth studio -H 127.0.0.1 -p "$STUDIO_PORT" \ + > logs/studio.log 2>&1 & + echo "STUDIO_PID=$!" >> "$GITHUB_ENV" + + - name: Wait for /api/health, log in, load the GGUF + run: | + for i in $(seq 1 180); do + if curl -fs "http://127.0.0.1:${STUDIO_PORT}/api/health" > /tmp/health.json; then + jq -e '.status == "healthy"' /tmp/health.json && break + fi + sleep 1 + done + jq -e '.status == "healthy"' /tmp/health.json || { tail -200 logs/studio.log; exit 1; } + OLD=$(cat ~/.unsloth/studio/auth/.bootstrap_password) + NEW="CINoVS-$(python -c 'import secrets; print(secrets.token_urlsafe(12))')" + echo "::add-mask::$OLD" + echo "::add-mask::$NEW" + OLD_TOKEN=$(curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/auth/login" \ + -H 'content-type: application/json' \ + -d "{\"username\":\"unsloth\",\"password\":\"$OLD\"}" | jq -r .access_token) + curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/auth/change-password" \ + -H "Authorization: Bearer $OLD_TOKEN" -H 'content-type: application/json' \ + -d "{\"current_password\":\"$OLD\",\"new_password\":\"$NEW\"}" > /dev/null + TOKEN=$(curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/api/auth/login" \ + -H 'content-type: application/json' \ + -d "{\"username\":\"unsloth\",\"password\":\"$NEW\"}" | jq -r .access_token) + echo "API_KEY=$TOKEN" >> "$GITHUB_ENV" + LOAD_OK=0 + for attempt in 1 2 3; do + HTTP=$(curl -s -o /tmp/load.json -w '%{http_code}' \ + -X POST "http://127.0.0.1:${STUDIO_PORT}/api/inference/load" \ + -H "Authorization: Bearer $TOKEN" -H 'content-type: application/json' \ + --max-time 600 \ + -d "{\"model_path\":\"$GGUF_REPO\",\"gguf_variant\":\"$GGUF_VARIANT\",\"is_lora\":false,\"max_seq_length\":2048}") + if [ "$HTTP" = "200" ]; then LOAD_OK=1; break; fi + echo "::warning::/api/inference/load attempt $attempt returned $HTTP"; cat /tmp/load.json || true; sleep 10 + done + [ "$LOAD_OK" = "1" ] || { echo "::error::/api/inference/load failed 3 attempts"; exit 22; } + jq '{status, display_name, is_gguf}' /tmp/load.json + + - name: Inference works via the prebuilt llama.cpp (no VS) + run: | + RESP=$(curl -fs -X POST "http://127.0.0.1:${STUDIO_PORT}/v1/chat/completions" \ + -H "Authorization: Bearer $API_KEY" -H 'content-type: application/json' \ + --max-time 240 \ + -d '{"model":"default","messages":[{"role":"user","content":"What is 1+1? Answer briefly."}],"temperature":0,"max_tokens":32,"stream":false}') + echo "$RESP" | jq '.choices[0].message' || { echo "$RESP"; exit 1; } + CONTENT=$(echo "$RESP" | jq -r '.choices[0].message.content') + [ -n "$CONTENT" ] && [ "$CONTENT" != "null" ] || { echo "::error::empty completion"; exit 1; } + echo "Inference OK without Visual Studio: $CONTENT" + + - name: Clean no-build-tools simulation + if: always() + shell: pwsh + run: | + $root = Join-Path $env:GITHUB_WORKSPACE 'no-build-tools' + foreach ($scope in @('Machine', 'User')) { + $saved = Join-Path $root "orig-path-$scope.txt" + if (Test-Path -LiteralPath $saved) { + [Environment]::SetEnvironmentVariable('Path', (Get-Content -LiteralPath $saved -Raw), $scope) + Write-Host "Restored $scope Path scope." + } + } + Remove-Item -LiteralPath $root -Recurse -Force -ErrorAction SilentlyContinue + + - name: Stop Unsloth + if: always() + shell: cmd + run: echo Stop Unsloth (no-op; runner reclaims STUDIO_PID=%STUDIO_PID% at job end) + + - name: Collect llama-server logs + if: always() + continue-on-error: true + run: | + mkdir -p logs/llama-server + cp -v ~/.unsloth/studio/logs/llama-server/*.log logs/llama-server/ 2>/dev/null || echo "no llama-server logs" + + - name: Upload logs + if: always() + continue-on-error: true + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: windows-no-vs-cpu-log + path: | + logs/install.log + logs/studio.log + logs/llama-server/*.log retention-days: 7 + + # ───────────────────────────────────────────────────────────────────── + # Job B: the GPU (CUDA) prebuilt path is also VS-free (resolve/availability) + # ───────────────────────────────────────────────────────────────────── + no-vs-gpu-resolve: + name: GPU prebuilt resolves without Visual Studio + runs-on: windows-latest + timeout-minutes: 15 + defaults: + run: + shell: bash + env: + PYTHONIOENCODING: utf-8 + PYTHONUTF8: '1' + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + + - name: Prepare no-build-tools simulation + shell: pwsh + run: | + $ErrorActionPreference = 'Stop' + $root = Join-Path $env:GITHUB_WORKSPACE 'no-build-tools' + $pf = Join-Path $root 'ProgramFiles' + $pfx86 = Join-Path $root 'ProgramFilesx86' + New-Item -ItemType Directory -Force -Path $pf, $pfx86 | Out-Null + + $blocked = [System.Collections.Generic.HashSet[string]]::new([StringComparer]::OrdinalIgnoreCase) + foreach ($tool in @('cmake', 'cl.exe')) { + foreach ($cmd in (Get-Command $tool -All -ErrorAction SilentlyContinue)) { + if ($cmd.Source) { + $dir = Split-Path -Parent $cmd.Source + if ($dir) { [void] $blocked.Add($dir) } + } + } + } + + $pathParts = $env:Path -split [IO.Path]::PathSeparator | + Where-Object { $_ -and -not $blocked.Contains($_) } + $noBuildToolsPath = $pathParts -join [IO.Path]::PathSeparator + + "NO_BUILD_TOOLS_PROGRAMFILES=$pf" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8 + "NO_BUILD_TOOLS_PROGRAMFILES_X86=$pfx86" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8 + "NO_BUILD_TOOLS_PATH< /tmp/rel.json + echo "release: $(jq -r .tag_name /tmp/rel.json)" + ASSETS=$(jq -r '.assets[].name' /tmp/rel.json) + echo "$ASSETS" | grep -iE 'windows-x64-cuda[0-9]' || { + echo "::error::no Windows x64 CUDA prebuilt asset found in unslothai/llama.cpp latest release" + echo "$ASSETS"; exit 1; } + # AMD parity: hosted runners have no AMD GPU, so the resolver step below + # can't exercise the ROCm path (it resolves to CPU). Pin the per-gfx + # Windows ROCm bundles here so a release that drops them fails loudly -- + # the AMD no-VS guarantee otherwise rides only on shared resolver code. + echo "$ASSETS" | grep -iE 'windows-x64-rocm-gfx' || { + echo "::error::no Windows x64 ROCm (per-gfx) prebuilt asset found in unslothai/llama.cpp latest release" + echo "$ASSETS"; exit 1; } + echo "Windows CUDA and ROCm prebuilts are available -- GPU users get them without compiling." + + - name: The prebuilt resolver runs without Visual Studio + shell: pwsh + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + run: | + $ErrorActionPreference = 'Stop' + # pwsh: bash cannot export `ProgramFiles(x86)`; set in-script so the + # python child inherits the overrides. + $env:ProgramFiles = $env:NO_BUILD_TOOLS_PROGRAMFILES + ${env:ProgramFiles(x86)} = $env:NO_BUILD_TOOLS_PROGRAMFILES_X86 + $env:Path = $env:NO_BUILD_TOOLS_PATH + # Resolver-only (no GPU on hosted runners, so the host resolves to the + # CPU bundle). The point is that resolution needs no compiler/VS. + python -m pip install --upgrade huggingface_hub + if ($LASTEXITCODE -ne 0) { Write-Host "::error::pip install huggingface_hub failed"; exit 1 } + python studio/install_llama_prebuilt.py --resolve-prebuilt latest --output-format json > resolve.json + if ($LASTEXITCODE -ne 0) { + Write-Host "::error::resolver exited non-zero" + if (Test-Path resolve.json) { Get-Content resolve.json } + exit 1 + } + Get-Content resolve.json + Write-Host "Prebuilt resolver ran with no Visual Studio present." + + - name: Clean no-build-tools simulation + if: always() + shell: pwsh + run: | + Remove-Item -LiteralPath (Join-Path $env:GITHUB_WORKSPACE 'no-build-tools') -Recurse -Force -ErrorAction SilentlyContinue + + # ── folded from studio-setup-ps1-vs2026.yml: setup.ps1 unit tests + real-VS detection + vcredist ── + pester: + name: setup.ps1 unit tests (VS 2026 / CMake guard) + runs-on: windows-latest + timeout-minutes: 15 + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Install Pester v5 + shell: pwsh + run: | + # PSGallery is intermittently absent from the repository list on GitHub's Windows + # runners, which makes `Set-PSRepository PSGallery` fail with "No repository with the + # name 'PSGallery' was found." Re-register the default gallery first so the policy + # change and module install below always have a repository to target. + if (-not (Get-PSRepository -Name PSGallery -ErrorAction SilentlyContinue)) { + Register-PSRepository -Default -ErrorAction SilentlyContinue + } + Set-PSRepository PSGallery -InstallationPolicy Trusted + Install-Module Pester -MinimumVersion 5.5.0 -Force -SkipPublisherCheck -Scope CurrentUser + Import-Module Pester -MinimumVersion 5.5.0 + Get-Module Pester | Select-Object Name, Version | Format-Table + + - name: Run Pester suite + shell: pwsh + run: | + $ErrorActionPreference = 'Stop' + $testDir = Join-Path $env:GITHUB_WORKSPACE 'tests/studio_setup_ps1' + if (-not (Test-Path $testDir)) { + Write-Error "Test directory not found: $testDir" + exit 1 + } + $cfg = New-PesterConfiguration + $cfg.Run.Path = $testDir + $cfg.Run.Exit = $true # non-zero exit => job fails + $cfg.Run.Throw = $true # also throw on test failure / 0 tests + $cfg.TestResult.Enabled = $true + $cfg.TestResult.OutputFormat = 'NUnitXml' + $cfg.TestResult.OutputPath = Join-Path $env:GITHUB_WORKSPACE 'pester-results.xml' + $cfg.Output.Verbosity = 'Detailed' + Invoke-Pester -Configuration $cfg + + - name: Upload Pester results + if: always() + uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1 + with: + name: pester-results-setup-ps1 + path: pester-results.xml + if-no-files-found: warn + + vs-integration: + # Real detection against the VS installed on the runner image (no mocks). + name: real-VS detection (${{ matrix.label }}) + strategy: + fail-fast: false + matrix: + include: + - { os: windows-2022, label: 'VS 2022', expectGen: 'Visual Studio 17 2022', expectToolset: 'v170' } + - { os: windows-2025-vs2026, label: 'VS 2026', expectGen: 'Visual Studio 18 2026', expectToolset: 'v180' } + runs-on: ${{ matrix.os }} + timeout-minutes: 15 + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Detect the real Visual Studio with setup.ps1 functions + shell: pwsh + env: + EXPECT_GEN: ${{ matrix.expectGen }} + EXPECT_TOOLSET: ${{ matrix.expectToolset }} + run: | + $ErrorActionPreference = 'Stop' + . (Join-Path $env:GITHUB_WORKSPACE 'tests/studio_setup_ps1/Get-FunctionSource.ps1') + $setup = Join-Path $env:GITHUB_WORKSPACE 'studio/setup.ps1' + foreach ($fn in @('Resolve-VsGeneratorFromLabel', 'Get-VcBuildCustomizationsDir', 'Find-VsBuildTools')) { + . ([scriptblock]::Create((Get-FunctionSource -Path $setup -Name $fn))) + } + + # Ground truth from the real vswhere (independent of our code), for visibility. + $vsw = "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe" + if (Test-Path $vsw) { + $year = (& $vsw -latest -property catalog_productLineVersion 2>$null | Select-Object -First 1) + $path = (& $vsw -latest -property installationPath 2>$null | Select-Object -First 1) + Write-Host "Real vswhere: productLineVersion='$year' installPath='$path'" + } else { + Write-Host "vswhere not present at $vsw (relying on filesystem fallback)" + } + + # Our detection must find the real VS and report the expected generator. + $r = Find-VsBuildTools + if (-not $r) { throw "Find-VsBuildTools returned null on a host with real $env:EXPECT_GEN" } + Write-Host "Find-VsBuildTools -> Generator='$($r.Generator)' Source='$($r.Source)' InstallPath='$($r.InstallPath)'" + if ($r.Generator -ne $env:EXPECT_GEN) { + throw "Detection mismatch: got '$($r.Generator)', expected '$env:EXPECT_GEN'" + } + if (-not (Test-Path $r.InstallPath)) { throw "Detected InstallPath does not exist: $($r.InstallPath)" } + + # Toolset path derivation must match the expected v-number... + $bc = Get-VcBuildCustomizationsDir -VsInstallPath $r.InstallPath -Generator $r.Generator + $derived = Split-Path (Split-Path $bc -Parent) -Leaf # e.g. v170 / v180 + Write-Host "Get-VcBuildCustomizationsDir -> '$bc' (toolset='$derived')" + if ($derived -ne $env:EXPECT_TOOLSET) { + throw "Toolset mismatch: derived '$derived', expected '$env:EXPECT_TOOLSET'" + } + + # ...and that v-number is a real folder on the VS install (where CUDA's + # BuildCustomizations would land). + $vcRoot = Join-Path $r.InstallPath 'MSBuild\Microsoft\VC' + if (Test-Path $vcRoot) { + $realToolsets = @((Get-ChildItem -Path $vcRoot -Directory -ErrorAction SilentlyContinue).Name) + Write-Host "Real VC toolset dirs: $($realToolsets -join ', ')" + if ($realToolsets -notcontains $derived) { + throw "Derived toolset '$derived' is not present on the real $env:EXPECT_GEN install (have: $($realToolsets -join ', '))" + } + Write-Host "OK: toolset '$derived' exists on the real VS install." + } else { + Write-Warning "VC MSBuild root absent ($vcRoot) - C++ workload not installed; skipping on-disk toolset check." + } + + Write-Host "PASS: real $env:EXPECT_GEN detected correctly with toolset '$derived'." + + vcredist-clean-box: + # Validate Test-VCRedistInstalled + Ensure-VCRedist on a throwaway runner: + # present on the stock image, fires on a clean box (signals removed restorably), + # then a literal uninstall/reinstall round trip. Always restored before the end. + name: VC++ runtime detect + install round-trip (${{ matrix.os }}) + strategy: + fail-fast: false + matrix: + os: [windows-latest, windows-2025-vs2026] + runs-on: ${{ matrix.os }} + timeout-minutes: 20 + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + + - name: Detect present, fire on a clean box, and round-trip the install + shell: pwsh + run: | + $ErrorActionPreference = 'Stop' + . (Join-Path $env:GITHUB_WORKSPACE 'tests/studio_setup_ps1/Get-FunctionSource.ps1') + $setup = Join-Path $env:GITHUB_WORKSPACE 'studio/setup.ps1' + # Dot-source the guard + the logging closure it reaches + # (step/substep -> Write-StudioStdoutMirror / Get-StudioAnsi). + $script:StudioVtOk = $false + $script:UnslothVerbose = $false + foreach ($fn in @('Get-StudioAnsi', 'Write-StudioStdoutMirror', 'step', 'substep', + 'Invoke-SetupCommand', 'Refresh-Environment', + 'Test-VCRedistInstalled', 'Ensure-VCRedist')) { + $src = Get-FunctionSource -Path $setup -Name $fn + if (-not $src) { throw "Function '$fn' not found in setup.ps1" } + . ([scriptblock]::Create($src)) + } + + $regKeys = @( + 'HKLM\SOFTWARE\Microsoft\VisualStudio\14.0\VC\Runtimes\x64', + 'HKLM\SOFTWARE\WOW6432Node\Microsoft\VisualStudio\14.0\VC\Runtimes\x64' + ) + function Show-GroundTruth { + $dll = Join-Path $env:SystemRoot 'System32\vcruntime140_1.dll' + Write-Host (" System32\vcruntime140_1.dll present: {0}" -f (Test-Path $dll)) + foreach ($k in $regKeys) { + $r = Get-ItemProperty -Path "HKLM:\$($k.Substring(5))" -ErrorAction SilentlyContinue + if ($r) { Write-Host (" {0}: Installed={1} {2}.{3}" -f $k, $r.Installed, $r.Major, $r.Minor) } + else { Write-Host (" {0}: (absent)" -f $k) } + } + } + + Write-Host '== A. Detection on the stock runner (expect present) ==' + Show-GroundTruth + if (-not (Test-VCRedistInstalled)) { throw 'Test-VCRedistInstalled reported ABSENT on a stock runner that ships the VC++ runtime (detection regression).' } + Write-Host ' Test-VCRedistInstalled -> present OK' + + Write-Host '== B. Genuinely clean box (restorable): detection must FIRE ==' + $scratch = Join-Path $env:RUNNER_TEMP 'cleanwin' + New-Item -ItemType Directory -Force -Path (Join-Path $scratch 'System32') | Out-Null + $backup = Join-Path $env:RUNNER_TEMP 'vcreg_backup' + New-Item -ItemType Directory -Force -Path $backup | Out-Null + $origSysRoot = $env:SystemRoot + try { + for ($i = 0; $i -lt $regKeys.Count; $i++) { + reg query $regKeys[$i] *> $null + if ($LASTEXITCODE -eq 0) { + reg export $regKeys[$i] (Join-Path $backup "$i.reg") /y *> $null + reg delete $regKeys[$i] /f *> $null + } + } + $env:SystemRoot = $scratch + if (Test-VCRedistInstalled) { throw 'Detection still PRESENT after both signals were removed (it would never trigger an install on a clean box).' } + Write-Host ' Test-VCRedistInstalled -> absent OK (detection fires on a clean box)' + } finally { + $env:SystemRoot = $origSysRoot + for ($i = 0; $i -lt $regKeys.Count; $i++) { + $f = Join-Path $backup "$i.reg" + if (Test-Path $f) { reg import $f *> $null } + } + } + Show-GroundTruth + if (-not (Test-VCRedistInstalled)) { throw 'Detection did not recover after restoring the registry (test restore bug).' } + + Write-Host '== C. Literal uninstall on this throwaway VM (official installer), observe detection ==' + $exe = Join-Path $env:RUNNER_TEMP 'vc_redist.x64.exe' + Invoke-WebRequest -Uri 'https://aka.ms/vs/17/release/vc_redist.x64.exe' -OutFile $exe + Start-Process -FilePath $exe -ArgumentList '/uninstall', '/quiet', '/norestart' -Wait + Show-GroundTruth + Write-Host (" Test-VCRedistInstalled after uninstall -> {0}" -f (Test-VCRedistInstalled)) + if (Test-VCRedistInstalled) { + Write-Host ' Note: the Visual Studio on this image ref-counts the runtime, so the package' + Write-Host ' uninstall is a no-op here; section B already proved detection on a clean box.' + } + + Write-Host '== D. Restore via Ensure-VCRedist (winget product path), installer fallback if needed ==' + Ensure-VCRedist + if (-not (Test-VCRedistInstalled)) { + Write-Host ' winget path did not restore it; using the official installer to close the round trip.' + Start-Process -FilePath $exe -ArgumentList '/install', '/quiet', '/norestart' -Wait + } + Show-GroundTruth + if (-not (Test-VCRedistInstalled)) { throw 'VC++ runtime could not be restored after the uninstall round-trip.' } + Write-Host ' Test-VCRedistInstalled -> present OK' + Write-Host 'PASS: detection is correct on a real install, fires on a clean box, and the install round-trip restores the runtime.' diff --git a/.github/workflows/studio-windows-ui-smoke.yml b/.github/workflows/studio-windows-ui-smoke.yml index e5ab9f8ab7..12d7475b53 100644 --- a/.github/workflows/studio-windows-ui-smoke.yml +++ b/.github/workflows/studio-windows-ui-smoke.yml @@ -4,11 +4,11 @@ # Windows counterpart to studio-ui-smoke.yml / studio-mac-ui-smoke.yml. # Same Playwright + Chromium end-to-end chat UI flow + extra UI flow, # but on the FREE windows-latest runner so we catch Windows-specific -# regressions in the install path (install.ps1), the Studio CLI's +# regressions in the install path (install.ps1), the Unsloth CLI's # Windows process-management branches, and the llama.cpp prebuilt's # Windows HTTP layer. -name: Windows Studio UI CI +name: Windows Unsloth UI CI on: pull_request: @@ -49,7 +49,7 @@ jobs: GGUF_FILE: gemma-3-270m-it-UD-Q4_K_XL.gguf STUDIO_PORT: '18896' HF_HOME: ${{ github.workspace }}/hf-cache - # Force UTF-8 for stdio so Python tools (hf download, Studio + # Force UTF-8 for stdio so Python tools (hf download, Unsloth # CLI, etc.) can print Unicode characters like the success # checkmark "✓". Windows defaults to cp1252 / charmap and # any tool that prints "OK ✓" hits a UnicodeEncodeError. @@ -85,24 +85,26 @@ jobs: continue-on-error: true with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Prime HF_HOME with the GGUF id: prime-hf if: steps.cache-hf.outputs.cache-hit != 'true' || steps.cache-hf.outcome != 'success' env: - HF_TOKEN: ${{ secrets.HF_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | python -m pip install --upgrade huggingface_hub mkdir -p hf-cache bash .github/scripts/hf-download-with-retry.sh "$GGUF_REPO" "$GGUF_FILE" + bash .github/scripts/hf-download-with-retry.sh ggml-org/models tinyllamas/stories260K.gguf - name: Save HF_HOME for ${{ env.GGUF_REPO }} if: always() && steps.prime-hf.outcome == 'success' uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5 with: path: hf-cache - key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v1 + key: ${{ runner.os }}-hf-${{ env.GGUF_REPO }}-${{ env.GGUF_VARIANT }}-v2 - name: Pre-install Windows tweaks (npm 11 + Defender exclusions) shell: pwsh @@ -119,7 +121,7 @@ jobs: # studio-windows-update-smoke.yml for the full rationale -- # creating an empty studio/frontend/dist trips setup.ps1's # mtime-based staleness check into "frontend up to date, skip - # rebuild" and Studio boots with an empty dist directory. + # rebuild" and Unsloth boots with an empty dist directory. # Add-MpPreference accepts paths that do not yet exist. foreach ($p in @( "$env:USERPROFILE\.unsloth", @@ -135,7 +137,18 @@ jobs: } } - - name: Install Studio (--local, --no-torch) + - name: Seed a legacy launch-studio.vbs (upgrade-cleanup check) + # Simulate a pre-hardening install so the post-install assertion below + # proves the installer DELETES an existing launch-studio.vbs (the exact + # Kaspersky-flagged file), not merely stops generating it. + shell: pwsh + run: | + $appDir = Join-Path $env:LOCALAPPDATA 'Unsloth Studio' + New-Item -ItemType Directory -Force -Path $appDir | Out-Null + Set-Content -LiteralPath (Join-Path $appDir 'launch-studio.vbs') -Value 'WScript.Echo "legacy"' -Encoding Unicode + Write-Host "seeded legacy launch-studio.vbs at $appDir" + + - name: Install Unsloth (--local, --no-torch) # install.ps1 is the supported Windows installer. install.sh # has no Windows branch (apt-get / brew calls). The PS1 # script's `Install-UnslothStudio @args` line at the bottom @@ -143,6 +156,8 @@ jobs: shell: pwsh env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | New-Item -ItemType Directory -Force -Path logs | Out-Null # *>&1 redirects ALL PowerShell streams (stdout, stderr, @@ -190,7 +205,70 @@ jobs: echo "install.ps1 installed the Windows prebuilt llama.cpp:" cat "$INFO" - - name: Add Studio shim to GITHUB_PATH + - name: Assert Unsloth launcher chain (no VBS, hidden PowerShell shortcut) + # The shortcut launch path is otherwise untested here (the steps below + # boot `unsloth studio` directly). Guard against re-introducing the VBS + # that tripped Kaspersky HEUR:Trojan.VBS.Agent.gen and against the .lnk + # pointing anywhere other than hidden PowerShell over launch-studio.ps1. + shell: pwsh + run: | + $appDir = Join-Path $env:LOCALAPPDATA 'Unsloth Studio' + if (Test-Path -LiteralPath (Join-Path $appDir 'launch-studio.vbs')) { + throw "regression: launch-studio.vbs exists (the Kaspersky VBS-FP shape)" + } + if (-not (Test-Path -LiteralPath (Join-Path $appDir 'launch-studio.ps1'))) { + throw "missing launch-studio.ps1 in $appDir" + } + $lnk = Join-Path ([Environment]::GetFolderPath('Desktop')) 'Unsloth Studio.lnk' + if (-not (Test-Path -LiteralPath $lnk)) { + $lnk = Join-Path $env:APPDATA 'Microsoft\Windows\Start Menu\Programs\Unsloth Studio.lnk' + } + if (-not (Test-Path -LiteralPath $lnk)) { throw "no Unsloth Studio.lnk on Desktop or Start Menu" } + $sc = (New-Object -ComObject WScript.Shell).CreateShortcut($lnk) + Write-Host "shortcut target: $($sc.TargetPath)" + Write-Host "shortcut args: $($sc.Arguments)" + if ($sc.TargetPath -match 'wscript\.exe$') { throw "shortcut still targets wscript.exe (VBS host)" } + if ($sc.TargetPath -notmatch 'powershell\.exe$') { throw "unexpected shortcut target: $($sc.TargetPath)" } + if ($sc.Arguments -notmatch '-WindowStyle Hidden') { + throw "shortcut must launch windowless (-WindowStyle Hidden)" + } + Write-Host "launcher chain OK (no VBS; hidden powershell over launch-studio.ps1)" + + - name: Launch Unsloth via the shortcut and assert health + # Run the exact command the .lnk stores (hidden PowerShell over + # launch-studio.ps1) and confirm it brings the backend up. This is the + # only step that proves the shortcut launch is not silently broken. + # Default port range is 8888-8908; the later UI tests use 18896/18897, so + # there is no conflict, and we tear this server down before they boot. + shell: pwsh + run: | + $lnk = Join-Path ([Environment]::GetFolderPath('Desktop')) 'Unsloth Studio.lnk' + if (-not (Test-Path -LiteralPath $lnk)) { + $lnk = Join-Path $env:APPDATA 'Microsoft\Windows\Start Menu\Programs\Unsloth Studio.lnk' + } + $sc = (New-Object -ComObject WScript.Shell).CreateShortcut($lnk) + Write-Host "launching: $($sc.TargetPath) $($sc.Arguments)" + Start-Process -FilePath $sc.TargetPath -ArgumentList $sc.Arguments -WorkingDirectory $sc.WorkingDirectory + $foundPort = 0 + foreach ($i in 1..180) { + foreach ($port in 8888..8908) { + try { + $r = Invoke-RestMethod -Uri "http://127.0.0.1:$port/api/health" -TimeoutSec 1 + if ($r.status -eq 'healthy' -and $r.service -eq 'Unsloth UI Backend') { $foundPort = $port; break } + } catch {} + } + if ($foundPort) { break } + Start-Sleep -Seconds 1 + } + # Tear down the shortcut-launched server before the main UI tests boot. + try { + $owner = (Get-NetTCPConnection -LocalPort $foundPort -State Listen -ErrorAction Stop | Select-Object -First 1).OwningProcess + if ($owner) { taskkill /PID $owner /T /F 2>$null | Out-Null } + } catch {} + if (-not $foundPort) { throw "Unsloth did not become healthy when launched via the shortcut" } + Write-Host "Unsloth healthy on port $foundPort (launched via the shortcut)" + + - name: Add Unsloth shim to GITHUB_PATH # install.ps1 puts unsloth.exe at $StudioHome\bin\unsloth.exe # and adds that dir to the User PATH via the Windows registry. # Registry-level PATH updates don't propagate to a running @@ -206,21 +284,7 @@ jobs: fi # GITHUB_PATH wants Windows-style paths; convert via cygpath. cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" - echo "Added Studio shim dir to PATH: $(cygpath -w "$SHIM_DIR")" - - - name: Patch Studio venv with full typer / pydantic dep trees - # Belt-and-suspenders: install.ps1's --no-deps install of - # no-torch-runtime.txt drops typer's and pydantic's runtime - # deps unless explicitly pinned. Re-install the ones whose - # deps don't pull torch. - run: | - STUDIO_PY=~/.unsloth/studio/unsloth_studio/Scripts/python.exe - if [ ! -f "$STUDIO_PY" ]; then - echo "::error::Studio venv python not at $STUDIO_PY" - ls -la ~/.unsloth/studio/ || true - exit 1 - fi - "$STUDIO_PY" -m pip install --upgrade typer pydantic huggingface_hub + echo "Added Unsloth shim dir to PATH: $(cygpath -w "$SHIM_DIR")" - name: Install Playwright + Chromium # No --with-deps on Windows: that flag installs Linux apt @@ -230,7 +294,7 @@ jobs: python -m pip install 'playwright>=1.45' python -m playwright install chromium - - name: Reset auth + boot Studio + - name: Reset auth + boot Unsloth run: | unsloth studio reset-password mkdir -p logs @@ -275,13 +339,13 @@ jobs: mkdir -p logs/playwright python tests/studio/playwright_chat_ui.py - - name: Stop Studio (chat-ui ends with Shutdown click; this is belt-and-suspenders) + - name: Stop Unsloth (chat-ui ends with Shutdown click; this is belt-and-suspenders) if: always() run: | kill "${STUDIO_PID}" 2>/dev/null || true sleep 2 - - name: Reset auth + boot Studio for extra UI tests (port 18897) + - name: Reset auth + boot Unsloth for extra UI tests (port 18897) run: | unsloth studio reset-password mkdir -p logs @@ -308,7 +372,7 @@ jobs: echo "STUDIO_EXTRA_OLD_PW=$OLD" >> "$GITHUB_ENV" echo "STUDIO_EXTRA_NEW_PW=$NEW" >> "$GITHUB_ENV" - - name: Drive Compare/Recipes/Export/Studio/Settings with Playwright + - name: Drive Compare/Recipes/Export/Unsloth/Settings with Playwright env: BASE_URL: http://127.0.0.1:18897 STUDIO_OLD_PW: ${{ env.STUDIO_EXTRA_OLD_PW }} @@ -322,7 +386,7 @@ jobs: mkdir -p logs/playwright_extra python tests/studio/playwright_extra_ui.py - - name: Stop second Studio + - name: Stop second Unsloth if: always() run: | kill "${STUDIO_EXTRA_PID}" 2>/dev/null || true diff --git a/.github/workflows/studio-windows-update-smoke.yml b/.github/workflows/studio-windows-update-smoke.yml index 157874d404..42d74d47d2 100644 --- a/.github/workflows/studio-windows-update-smoke.yml +++ b/.github/workflows/studio-windows-update-smoke.yml @@ -5,24 +5,25 @@ # studio-mac-update-smoke.yml. Verifies that on the FREE # windows-latest runner: # -# 1. install.ps1 --local --no-torch installs Studio AND auto-fetches -# the prebuilt llama.cpp Windows binary (llama-bNNNN-bin-win-cpu- -# x64 from ggml-org/llama.cpp). Hitting the source-build fallback -# is treated as an Unsloth bug -- Studio must always pick the +# 1. install.ps1 --local --no-torch installs Unsloth AND auto-fetches +# the prebuilt llama.cpp Windows binary (app--windows-x64-cpu +# from unslothai/llama.cpp). Hitting the source-build fallback is +# treated as an Unsloth bug -- Unsloth must always pick the # prebuilt on Windows. # 2. unsloth studio update --local is idempotent. Two consecutive # runs both report "prebuilt up to date and validated", no # source-build fallback. The CLI's _find_setup_script picks # setup.ps1 on Windows automatically. -# 3. The installed Studio still boots and /api/health returns +# 3. The installed Unsloth still boots and /api/health returns # healthy after the update path. -name: Windows Studio Update CI +name: Windows Unsloth Update CI on: pull_request: paths: - 'install.ps1' + - 'scripts/uninstall.ps1' - 'studio/setup.ps1' - 'studio/setup.bat' - 'studio/install_python_stack.py' @@ -44,7 +45,7 @@ permissions: jobs: update-idempotency: - name: Studio Updating Tests + name: Unsloth Updating Tests runs-on: windows-latest timeout-minutes: 30 defaults: @@ -52,7 +53,7 @@ jobs: shell: bash env: # Force UTF-8 for stdio (Windows defaults to cp1252; hf - # download / Studio CLI print "✓" checkmarks and crash + # download / Unsloth CLI print "✓" checkmarks and crash # otherwise). PYTHONIOENCODING: utf-8 PYTHONUTF8: '1' @@ -78,18 +79,18 @@ jobs: # Two surgical fixes against measured Windows-only install # waste (vs Mac/Linux on the same SHA): # - # (1) npm. setup.ps1 line 1109-1145 requires Node 22.12+ (or - # 20.19+ / 23+) AND npm >=11 because Vite 8 needs both. + # (1) npm. setup.ps1's Get-NodeDecision requires Node 22.12+ + # (or 20.19+ / 23+) AND npm >=11 because Vite 8 needs both. # actions/setup-node@v4 with `node-version: '22'` lands - # Node 22.22.2 + the npm 10.9.7 it bundles, so the npm - # check fails and setup.ps1 falls through to the - # "winget install Node.js LTS" branch -- a ~35 s reinstall - # of Node we don't need. `npm install -g npm@^11` updates - # the bundled npm in-place in ~5 s, which makes setup.ps1 - # short-circuit on the existing Node. + # Node 22.22.2 + the npm 10.9.7 it bundles, so the decision + # is "bundled" and setup.ps1 downloads an isolated Node (~30 + # MB) we don't need on a runner that already has a fine Node. + # `npm install -g npm@^11` updates the runner's npm in-place + # in ~5 s, flipping the decision to "system" so setup.ps1 + # reuses the existing Node with no download. # # (2) Defender. windows-latest's real-time scan opens / hashes - # every file Studio writes during install (Vite output = + # every file Unsloth writes during install (Vite output = # thousands of small chunks, uv pip = wheel-extraction = # thousands of small files). The latency dominates the # 200 s frontend build and the 90 s deps install. Adding @@ -108,7 +109,7 @@ jobs: # setup.ps1 line 1281-1296's mtime-based "is the frontend # stale?" check into "up to date, skip rebuild", because the # newly-created dist's mtime is younger than every source - # file. Studio then boots with an empty dist and 500s on + # file. Unsloth then boots with an empty dist and 500s on # GET / with FileNotFoundError: dist\index.html. See run # 25546676715 / job 74984469728. # Add-MpPreference accepts paths that do not yet exist; the @@ -128,10 +129,12 @@ jobs: } } - - name: Install Studio (--local, --no-torch) + - name: Install Unsloth (--local, --no-torch) shell: pwsh env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | New-Item -ItemType Directory -Force -Path logs | Out-Null # *>&1 captures Write-Host (Information stream) output; @@ -165,7 +168,7 @@ jobs: echo "install.ps1 installed the Windows prebuilt llama.cpp:" cat "$INFO" - - name: Add Studio shim to GITHUB_PATH + - name: Add Unsloth shim to GITHUB_PATH run: | SHIM_DIR=~/.unsloth/studio/bin if [ ! -f "$SHIM_DIR/unsloth.exe" ]; then @@ -175,35 +178,11 @@ jobs: fi cygpath -w "$SHIM_DIR" >> "$GITHUB_PATH" - - name: Patch Studio venv with full typer / pydantic dep trees - # install.ps1 runs `uv pip install --no-deps -r - # no-torch-runtime.txt` to keep torch out of transitive - # resolution from accelerate/peft/trl. That also drops - # typer's and pydantic's runtime deps unless they're - # explicitly pinned in no-torch-runtime.txt. We pin the - # known ones (click, shellingham, annotated-doc, rich, - # pydantic-core, annotated-types, typing-inspection, ...) - # but typer / pydantic minor versions can introduce new - # transitive deps that are NOT in our pin list. - # - # Belt-and-suspenders: re-install typer + pydantic + - # huggingface_hub WITH their deps into the Studio venv. - # `pip install --upgrade` only adds missing packages; it - # never down-shifts an installed version. Cannot pull - # torch (none of typer / pydantic / huggingface_hub depend - # on it). - run: | - STUDIO_PY=~/.unsloth/studio/unsloth_studio/Scripts/python.exe - if [ ! -f "$STUDIO_PY" ]; then - echo "::error::Studio venv python not at $STUDIO_PY" - ls -la ~/.unsloth/studio/ || true - exit 1 - fi - "$STUDIO_PY" -m pip install --upgrade typer pydantic huggingface_hub - - name: First update should be a no-op (prebuilt already validated) env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | set -o pipefail unsloth studio update --local 2>&1 | tee logs/update.log @@ -222,6 +201,8 @@ jobs: - name: Second update must also be a no-op env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + # Withheld on PR: this step runs checked-out PR code; public GGUF still downloads. + HF_TOKEN: ${{ github.event_name != 'pull_request' && secrets.HF_TOKEN || '' }} run: | set -o pipefail unsloth studio update --local 2>&1 | tee logs/update2.log @@ -231,7 +212,7 @@ jobs: grep -qE "prebuilt up to date and validated|prebuilt installed and validated" logs/update2.log echo "second update was clean" - - name: Boot Studio briefly to confirm the install is still usable + - name: Boot Unsloth briefly to confirm the install is still usable run: | mkdir -p logs UNSLOTH_API_ONLY=1 unsloth studio -H 127.0.0.1 -p 18891 \ @@ -258,13 +239,47 @@ jobs: sleep 1 done if [ -z "$HEALTHY" ]; then - echo "Studio failed to come up after \`update\`" + echo "Unsloth failed to come up after \`update\`" tail -200 logs/studio.log kill "$PID" 2>/dev/null || true exit 1 fi kill "$PID" 2>/dev/null || true - echo "post-update Studio /api/health OK" + echo "post-update Unsloth /api/health OK" + + - name: Uninstall and verify clean + # Round-trip through scripts/uninstall.ps1 against the default + # install tree at %USERPROFILE%\.unsloth\studio. Catches + # regressions where install.ps1 starts writing under a new key + # (registry, Start Menu, %APPDATA%) and scripts/uninstall.ps1 has + # not been updated to match. Skips gracefully if + # scripts/uninstall.ps1 has not landed yet (lets this workflow + # merge before #5513). + shell: pwsh + run: | + New-Item -ItemType Directory -Force -Path logs | Out-Null + if (-not (Test-Path "$PWD\scripts\uninstall.ps1")) { + Write-Host "scripts/uninstall.ps1 not present in this tree; skipping round-trip" + "" | Set-Content logs/uninstall.log + exit 0 + } + pwsh -NoProfile -File "$PWD\scripts\uninstall.ps1" *>&1 | Tee-Object -FilePath logs/uninstall.log + $leak = 0 + foreach ($p in @( + "$env:USERPROFILE\.unsloth\studio", + "$env:USERPROFILE\.unsloth\studio\unsloth_studio", + "$env:USERPROFILE\.unsloth\studio\bin\unsloth.exe" + )) { + if (Test-Path -LiteralPath $p) { + Write-Host "::error::leak: $p" + $leak++ + } + } + if ($leak -gt 0) { exit 1 } + # Idempotency. + pwsh -NoProfile -File "$PWD\scripts\uninstall.ps1" *>&1 | Select-Object -Last 5 + pwsh -NoProfile -File "$PWD\scripts\uninstall.ps1" *>&1 | Select-Object -Last 5 + Write-Host "PASS: windows install -> update -> uninstall round-trip clean" - name: Upload update logs if: always() @@ -276,4 +291,5 @@ jobs: logs/update.log logs/update2.log logs/studio.log + logs/uninstall.log retention-days: 7 diff --git a/.github/workflows/version-compat-ci.yml b/.github/workflows/version-compat-ci.yml index 2fbdd15747..6becccc90a 100644 --- a/.github/workflows/version-compat-ci.yml +++ b/.github/workflows/version-compat-ci.yml @@ -127,6 +127,7 @@ jobs: run: | PYTHONPATH=. python -m pytest \ tests/version_compat/test_peft_pinned_symbols.py \ + tests/version_compat/test_unsloth_zoo_save_merged_pinned_symbols.py \ -v --tb=short st-pinned-symbols: @@ -241,7 +242,7 @@ jobs: run: | python -m pip install --upgrade pip # CPU torch (vllm/peft/st all depend on it). - pip install --index-url https://download.pytorch.org/whl/cpu \ + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ 'torch>=2.4,<2.11' 'torchvision<0.26' 'torchcodec<0.10' # torchcodec is a hard requirement on transformers 5.x: # transformers/audio_utils.py:55 does @@ -284,6 +285,92 @@ jobs: tests/vllm_compat/test_extended_module_imports.py \ -v --tb=short + # Fake-CUDA GRPO/SFT/DPO patch run against REAL TRL (latest + main). Unlike + # the static symbol/source greps above, this drives unsloth's actual + # source-transform patchers (models/rl.py + rl_replacements.py) on a CPU-only + # runner under the tests/conftest.py spoof harness -- no GPU, no training. + # Catches structural TRL drift the greps miss (e.g. TRL 1.7.0's 2->3-tuple + # per-token-logps return, restructured PEFT ref-adapter block) by asserting + # the generated Unsloth trainer still satisfies the transform contracts. + grpo-fake-run: + name: GRPO fake-run (latest + main TRL, CPU spoof) + runs-on: ubuntu-latest + timeout-minutes: 18 + steps: + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + persist-credentials: false + path: unsloth + - name: Clone unsloth-zoo @ main + run: | + for attempt in 1 2 3; do + rm -rf "$RUNNER_TEMP/unsloth-zoo" + if git clone --depth=1 https://github.com/unslothai/unsloth-zoo \ + "$RUNNER_TEMP/unsloth-zoo"; then + break + fi + if [ "$attempt" -eq 3 ]; then + echo "::error::git clone unsloth-zoo failed after 3 attempts" + exit 1 + fi + delay=$((5 * attempt)) + echo "::warning::clone failed (attempt $attempt/3), retrying in ${delay}s..." + sleep "$delay" + done + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0 + with: + python-version: '3.12' + cache: 'pip' + - name: Install CPU torch + ecosystem + TRL latest + run: | + python -m pip install --upgrade pip + pip install --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple \ + 'torch>=2.4,<2.11' 'torchvision<0.26' 'torchcodec<0.10' + # Ecosystem floors unsloth needs; TRL itself is installed last so it + # can pull the transformers/peft it requires. + pip install \ + 'transformers>=4.57' 'peft>=0.18.0' 'accelerate>=1.0' 'datasets>=3.4,<5' \ + 'bitsandbytes>=0.45.5' sentencepiece protobuf safetensors numpy 'pytest>=8' \ + 'huggingface_hub>=0.34' tqdm packaging psutil triton Pillow + pip install --upgrade trl + pip install --no-deps -e "$RUNNER_TEMP/unsloth-zoo" + pip install --no-deps -e ./unsloth + - name: Fake-run vs TRL latest + env: + UNSLOTH_IS_PRESENT: '1' + UNSLOTH_COMPILE_DISABLE: '1' + # Disable dynamo/inductor at the process level, before conftest.py's early + # `import unsloth`, so the GRPO hot path never compiles on the GPU-less runner + # (defense in depth; the CPU fake-train also flips this at runtime). + TORCHDYNAMO_DISABLE: '1' + TORCH_COMPILE_DISABLE: '1' + PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: python + run: | + cd unsloth + python -c "import trl; print('Resolved TRL', trl.__version__)" + PYTHONPATH=. python -m pytest \ + tests/version_compat/test_trl_grpo_fake_run.py \ + tests/version_compat/test_trl_fake_train_cpu.py \ + -v --tb=short + # `main` is scheduled/dispatch-only so PR jobs stay fast and a bleeding-edge + # TRL break does not red every PR. github.event_name is valid in a step if. + - name: Fake-run vs TRL main (scheduled / dispatch only) + if: ${{ github.event_name != 'pull_request' }} + env: + UNSLOTH_IS_PRESENT: '1' + UNSLOTH_COMPILE_DISABLE: '1' + TORCHDYNAMO_DISABLE: '1' + TORCH_COMPILE_DISABLE: '1' + PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: python + run: | + pip install --upgrade "git+https://github.com/huggingface/trl" + cd unsloth + python -c "import trl; print('Resolved TRL', trl.__version__)" + PYTHONPATH=. python -m pytest \ + tests/version_compat/test_trl_grpo_fake_run.py \ + tests/version_compat/test_trl_fake_train_cpu.py \ + -v --tb=short + # Daily-only: same suites but with --strict on importable upstream # tags. Schedule-only so PR jobs stay fast; cron tolerates a flake. daily-fresh-fetch: diff --git a/.github/workflows/wheel-smoke.yml b/.github/workflows/wheel-smoke.yml index 3de3c33ca2..cdad617027 100644 --- a/.github/workflows/wheel-smoke.yml +++ b/.github/workflows/wheel-smoke.yml @@ -3,7 +3,7 @@ # Builds the PyPI wheel from the PR branch, then verifies the built wheel # actually contains what we expect to ship and does NOT contain the broken -# Studio bundle that 2026.5.1 published. This is the single workflow that +# Unsloth bundle that 2026.5.1 published. This is the single workflow that # would have blocked the 2026.5.1 release before twine upload. # # Verified locally end-to-end against this branch: @@ -12,7 +12,7 @@ # lockfile shipped, frontend dist shipped, # no node_modules in wheel, no bun.lock in wheel, # main bundle has unstable_Provider hits=1 (assistant-ui internals only). -# - Studio backend imports cleanly from the installed wheel with the +# - Unsloth backend imports cleanly from the installed wheel with the # lightweight dep set below. name: Wheel CI @@ -101,7 +101,7 @@ jobs: hits = data.count("unstable_Provider:") print(f"main bundle: {js[0]}") print(f"unstable_Provider hits: {hits} (>=4 indicates 2026.5.1 regression)") - checks["bundle has no Studio unstable_Provider call site"] = (hits < 4) + checks["bundle has no Unsloth unstable_Provider call site"] = (hits < 4) print() for k, v in checks.items(): @@ -109,7 +109,7 @@ jobs: sys.exit(0 if all(checks.values()) else 1) PY - - name: Studio backend import smoke + - name: Unsloth backend import smoke # Imports `studio.backend.main:app` from the freshly-installed wheel in # a clean venv. This catches the class of bug that 2026.5.1 shipped with: # frontend dist missing, package-lock.json missing, or the wheel's Python @@ -125,7 +125,7 @@ jobs: /tmp/v/bin/pip install --no-deps dist/unsloth-*.whl # Run from /tmp so Python imports the installed package, not the source tree. cd /tmp - /tmp/v/bin/python -c "from studio.backend.main import app; print('Studio backend OK:', app.title)" + /tmp/v/bin/python -c "from studio.backend.main import app; print('Unsloth backend OK:', app.title)" - name: Upload wheel on failure if: failure() diff --git a/.gitignore b/.gitignore index bc7d59316d..39ca2226ca 100644 --- a/.gitignore +++ b/.gitignore @@ -11,6 +11,8 @@ outputs/ exports/ /datasets/ studio/backend/assets/datasets/ +# Generated async worker / reviewer transcripts (never part of the product). +studio/backend/async_task_outputs/ unsloth_training_checkpoints/ *.gguf *.safetensors @@ -229,5 +231,11 @@ log.txt setup_leo.sh server.pid *.log +# Ignore stray lockfiles; real npm projects opt back in below (npm ci needs them). package-lock.json +!studio/frontend/package-lock.json +!studio/backend/core/data_recipe/oxc-validator/package-lock.json +!studio/package-lock.json llama.cpp/ +# Stray "~" dir some tools create from a literal ~ TMPDIR; never part of the repo. +/~/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a2a4995d62..8dcb9130b3 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ repos: - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.15.12 + rev: v0.15.18 hooks: - id: ruff args: @@ -14,5 +14,20 @@ repos: entry: scripts/run_ruff_format.py language: python types: [python] + # Mirror ruff's [tool.ruff] extend-exclude so this hook does not + # half-process files ruff itself skips (which produced churn). + exclude: '(chat_templates|ollama_template_mappers|_auto_install|mapper)\.py$' additional_dependencies: - ruff==0.6.9 + # Re-pins allowScripts entries after dependency bumps. pre-commit.ci + # pushes the fix to PR branches, Dependabot's included, so stale pins + # heal without a human in the loop. + - id: sync-allow-scripts-pins + name: Sync allowScripts pins with the frontend lockfile + # `python + + diff --git a/studio/backend/auth/__init__.py b/studio/backend/auth/__init__.py index b3e1a8a9c0..a63d5303d4 100644 --- a/studio/backend/auth/__init__.py +++ b/studio/backend/auth/__init__.py @@ -1,9 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -""" -Authentication module for JWT-based auth with SQLite storage. -""" +"""Authentication module for JWT-based auth with SQLite storage.""" from .authentication import ( create_access_token, diff --git a/studio/backend/auth/authentication.py b/studio/backend/auth/authentication.py index 6ddcbc8e0b..dfb8fc513e 100644 --- a/studio/backend/auth/authentication.py +++ b/studio/backend/auth/authentication.py @@ -58,7 +58,7 @@ def create_access_token( """ Create a signed JWT for the given subject (e.g. username). - Tokens are valid across restarts because the signing secret is stored in SQLite. + Valid across restarts: the signing secret is stored in SQLite. """ to_encode = {"sub": subject} if desktop: @@ -100,7 +100,7 @@ def create_refresh_token(subject: str, *, desktop: bool = False) -> str: """ Create a random refresh token, store its hash in SQLite, and return it. - Refresh tokens are opaque (not JWTs) and expire after REFRESH_TOKEN_EXPIRE_DAYS. + Refresh tokens are opaque (not JWTs); expire after REFRESH_TOKEN_EXPIRE_DAYS. """ token = secrets.token_urlsafe(48) expires_at = datetime.now(timezone.utc) + timedelta(days = REFRESH_TOKEN_EXPIRE_DAYS) @@ -108,14 +108,12 @@ def create_refresh_token(subject: str, *, desktop: bool = False) -> str: return token -def refresh_access_token( - refresh_token: str, -) -> Tuple[Optional[str], Optional[str], bool]: +def refresh_access_token(refresh_token: str) -> Tuple[Optional[str], Optional[str], bool]: """ Validate a refresh token and issue a new access token. - The refresh token itself is NOT consumed — it stays valid until expiry. - Returns a new access_token or None if the refresh token is invalid/expired. + The refresh token is NOT consumed; it stays valid until expiry. + Returns a new access_token, or None if the refresh token is invalid/expired. """ verified = verify_refresh_token(refresh_token) if verified is None: @@ -130,16 +128,14 @@ def refresh_access_token( def reload_secret() -> None: """ - Keep legacy API compatibility for callers expecting auth storage init. + Legacy API compat for callers expecting auth storage init. Auth now resolves the current signing secret directly from SQLite. """ load_jwt_secret() -async def get_current_subject( - credentials: HTTPAuthorizationCredentials = Depends(security), -) -> str: +async def get_current_subject(credentials: HTTPAuthorizationCredentials = Depends(security)) -> str: """Validate JWT and require the password-change flow to be completed.""" return await _get_current_subject( credentials, @@ -147,6 +143,17 @@ async def get_current_subject( ) +async def authenticated_via_api_key( + credentials: HTTPAuthorizationCredentials = Depends(security), +) -> bool: + """True when the caller used an sk-unsloth API key, not a UI session JWT. + + Lets routes treat programmatic API callers differently from the Unsloth UI + (e.g. refuse a teardown the UI would allow). + """ + return bool(credentials and credentials.credentials.startswith(API_KEY_PREFIX)) + + async def get_current_subject_allow_password_change( credentials: HTTPAuthorizationCredentials = Depends(security), ) -> str: @@ -158,19 +165,9 @@ async def get_current_subject_allow_password_change( async def _get_current_subject( - credentials: HTTPAuthorizationCredentials, - *, - allow_password_change: bool, + credentials: HTTPAuthorizationCredentials, *, allow_password_change: bool ) -> str: - """ - FastAPI dependency to validate the JWT and return the subject. - - Use this as a dependency on routes that should be protected, e.g.: - - @router.get("/secure") - async def secure_endpoint(current_subject: str = Depends(get_current_subject)): - ... - """ + """FastAPI dependency: validate the JWT and return the subject. Use on protected routes.""" token = credentials.credentials # --- API key path (sk-unsloth-...) --- diff --git a/studio/backend/auth/bootstrap_timeout.py b/studio/backend/auth/bootstrap_timeout.py new file mode 100644 index 0000000000..97a8086f04 --- /dev/null +++ b/studio/backend/auth/bootstrap_timeout.py @@ -0,0 +1,145 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 + +"""Auto-shutdown for an exposed first-run Unsloth whose admin password is unchanged. + +On a fresh install the seeded bootstrap admin password stays a valid login +credential until first login changes it. When the web UI is put on the network +(``--secure`` / ``0.0.0.0``) and nobody completes that first-login change within +a deadline, tear Unsloth down so a fresh, unconfigured instance does not stay +publicly reachable indefinitely. If the password was changed, Unsloth keeps +running. + +Scope: web UI launches only (never ``--api-only``, which authenticates by API +key rather than the admin password, and never Colab). Configurable via +``UNSLOTH_STUDIO_BOOTSTRAP_TIMEOUT`` (seconds; default 3600; ``0`` disables). +""" + +import os +import sys +import threading + +BOOTSTRAP_TIMEOUT_ENV_VAR = "UNSLOTH_STUDIO_BOOTSTRAP_TIMEOUT" +DEFAULT_BOOTSTRAP_TIMEOUT_SECONDS = 3600 + + +def bootstrap_timeout_seconds(env = None) -> int: + """Resolve the deadline in seconds. ``0`` (or invalid/negative) disables it. + + A malformed value falls back to the default rather than disabling, so a typo + cannot silently remove the protection. + """ + env = os.environ if env is None else env + raw = env.get(BOOTSTRAP_TIMEOUT_ENV_VAR) + if raw is None or raw.strip() == "": + return DEFAULT_BOOTSTRAP_TIMEOUT_SECONDS + try: + value = int(raw) + except ValueError: + return DEFAULT_BOOTSTRAP_TIMEOUT_SECONDS + return value if value > 0 else 0 + + +def _is_exposed_bind(host: str, secure: bool) -> bool: + """True when this launch puts the web UI on the network (tunnel or non-loopback).""" + if secure: + return True + if host in ("0.0.0.0", "::"): + return True + try: + from utils.host_policy import is_external_host + except Exception: + return False + return bool(is_external_host(host)) + + +def should_arm_bootstrap_timeout( + *, + host: str, + secure: bool, + api_only: bool, + frontend_served: bool, + is_colab: bool, + requires_change: bool, + timeout_seconds: int, +) -> bool: + """Whether to arm the deadline: only for an exposed web UI whose seeded admin + password is still unchanged. Pure decision (no I/O) for cheap unit testing.""" + if timeout_seconds <= 0: + return False + if api_only or not frontend_served or is_colab: + return False + if not requires_change: + return False + return _is_exposed_bind(host, secure) + + +def _format_duration(seconds: int) -> str: + """Human-friendly duration for the shutdown message (seconds under a minute).""" + + def _plural(n: int, unit: str) -> str: + return f"{n} {unit}{'' if n == 1 else 's'}" + + if seconds < 60: + return _plural(seconds, "second") + minutes, rem = divmod(seconds, 60) + label = _plural(minutes, "minute") + if rem: + label += f" {_plural(rem, 'second')}" + return label + + +def enforce_bootstrap_password_deadline( + storage, + trigger_shutdown, + *, + timeout_seconds: int, + logger = None, +) -> bool: + """Deadline handler: shut down iff the seeded admin password is still unchanged. + + Returns True if it shut Unsloth down, False if it left it running (the + password was changed in time). + """ + try: + still_default = storage.requires_password_change(storage.DEFAULT_ADMIN_USERNAME) + except Exception: + return False + if not still_default: + return False # password changed in time -> leave Unsloth running + + message = ( + "\nUnsloth Studio was exposed on the network but its default admin " + f"password was not changed within {_format_duration(timeout_seconds)}. " + "Shutting down to avoid leaving an unsecured public instance running.\n" + "Next time, sign in and change the password on first login, or set " + f"{BOOTSTRAP_TIMEOUT_ENV_VAR}=0 to disable this timeout." + ) + if logger is not None: + logger.warning(message) + print(message, file = sys.stderr, flush = True) + try: + trigger_shutdown() + except Exception as e: # shutdown is best-effort; never raise from the timer + if logger is not None: + logger.warning("Bootstrap-timeout shutdown failed: %s", e) + return True + + +def arm_bootstrap_timeout( + storage, + trigger_shutdown, + *, + timeout_seconds: int, + logger = None, +) -> "threading.Timer": + """Start a daemon timer that enforces the deadline. Returns the Timer.""" + timer = threading.Timer( + timeout_seconds, + enforce_bootstrap_password_deadline, + args = (storage, trigger_shutdown), + kwargs = {"timeout_seconds": timeout_seconds, "logger": logger}, + ) + timer.daemon = True + timer.start() + return timer diff --git a/studio/backend/auth/hashing.py b/studio/backend/auth/hashing.py index 873381db04..0a1b0c15be 100644 --- a/studio/backend/auth/hashing.py +++ b/studio/backend/auth/hashing.py @@ -23,7 +23,7 @@ def hash_password(password: str, salt: str | None = None) -> Tuple[str, str]: "sha256", password.encode("utf-8"), salt.encode("utf-8"), - 100_000, # 100k iterations + 100_000, ) return salt, dk.hex() diff --git a/studio/backend/auth/storage.py b/studio/backend/auth/storage.py index 3233aa05ef..39fa691304 100644 --- a/studio/backend/auth/storage.py +++ b/studio/backend/auth/storage.py @@ -1,14 +1,15 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -""" -SQLite storage for authentication data (user credentials + JWT secret). -""" +"""SQLite storage for auth data (user credentials + JWT secret).""" import hashlib +import hmac +import ipaddress import os import secrets import sqlite3 +import threading from datetime import datetime, timezone from typing import Optional, Tuple @@ -17,42 +18,44 @@ DB_PATH = auth_db_path() DEFAULT_ADMIN_USERNAME = "unsloth" -# Plaintext bootstrap password file — lives beside auth.db, deleted on -# first password change so the credential never lingers on disk. +# Single source for the password policy; models/auth.py ChangePasswordRequest +# and the terminal prompt both enforce it. Keep the unsloth_cli mirror in sync. +MIN_PASSWORD_LENGTH = 8 + +# Plaintext bootstrap password file beside auth.db, deleted on first password +# change so the credential never lingers on disk. _BOOTSTRAP_PW_PATH = DB_PATH.parent / ".bootstrap_password" -# In-process cache so we don't re-read the file on every HTML serve. +# In-process cache to avoid re-reading the file on every HTML serve. _bootstrap_password: Optional[str] = None def generate_bootstrap_password() -> str: """Generate a 4-word diceware passphrase and persist it to disk. - The passphrase is written to ``_BOOTSTRAP_PW_PATH`` so that it - survives server restarts (the DB only stores the *hash*). On - subsequent calls / restarts, the persisted value is returned. + Persisted (the DB stores only the hash) so it survives restarts; later + calls return the persisted value. """ global _bootstrap_password - # 1. Already cached in this process? + # Cached in this process? if _bootstrap_password is not None: return _bootstrap_password - # 2. Already persisted from a previous run? + # Persisted from a previous run? if _BOOTSTRAP_PW_PATH.is_file(): _bootstrap_password = _BOOTSTRAP_PW_PATH.read_text().strip() if _bootstrap_password: return _bootstrap_password - # 3. First-ever startup — generate a fresh passphrase. + # First startup: generate a fresh passphrase. import diceware _bootstrap_password = diceware.get_passphrase( options = diceware.handle_options(args = ["-n", "4", "-d", "", "-c"]) ) - # Persist so the *same* passphrase is used if the server restarts - # before the user changes the password. + # Persist so the same passphrase survives restarts until password change. ensure_dir(_BOOTSTRAP_PW_PATH.parent) _BOOTSTRAP_PW_PATH.write_text(_bootstrap_password) try: @@ -80,29 +83,51 @@ def _load_bootstrap_password() -> Optional[str]: def clear_bootstrap_password() -> None: - """Delete the persisted bootstrap password file (called after password change).""" + """Delete the persisted bootstrap password file (after a password change). + + Best-effort: the new hash is already committed, so a locked/undeletable file + (Windows AV, read-only auth dir) must not fail the change. + """ global _bootstrap_password _bootstrap_password = None if _BOOTSTRAP_PW_PATH.is_file(): - _BOOTSTRAP_PW_PATH.unlink(missing_ok = True) + try: + _BOOTSTRAP_PW_PATH.unlink(missing_ok = True) + except OSError as e: + # Removal failed (Windows AV, read-only auth dir). The hash is already + # committed, so don't fail the change -- but truncate the file so its + # stale plaintext can't be re-seeded by generate_bootstrap_password() + # if a later reset-password deletes auth.db and re-validates it. + try: + _BOOTSTRAP_PW_PATH.write_text("") + cleared = True + except OSError: + cleared = False + import sys + + if cleared: + message = ( + f"Warning: could not delete {_BOOTSTRAP_PW_PATH.name} ({e}); " + "cleared its contents so the old bootstrap password cannot be reused." + ) + else: + # Neither removed nor truncated: stale plaintext is still on disk + # and would be reused if auth.db is reset. Don't claim otherwise. + message = ( + f"Warning: could not delete or clear {_BOOTSTRAP_PW_PATH.name} ({e}); " + "its old bootstrap password is still on disk. Remove it manually to " + "prevent reuse after a reset." + ) + print(message, file = sys.stderr, flush = True) def _hash_token(token: str) -> str: - """SHA-256 hash helper used for refresh token storage. - - Plain SHA-256 is intentional here: refresh tokens are high-entropy - random strings from ``secrets.token_urlsafe(48)`` (384 bits of - entropy), so a slow KDF (Argon2 / bcrypt / PBKDF2) provides zero - additional security — no attacker can brute-force 2^384 regardless - of hash speed — while adding tens of ms of CPU to every refresh. - See the OWASP Password Storage Cheat Sheet on fast-vs-slow hashing - of high-entropy inputs. - - API keys use the separate ``_pbkdf2_api_key`` helper below, which - runs PBKDF2-HMAC-SHA256 with a persistent server-side salt — not - for cryptographic reasons (128-bit random tokens don't need slow - hashing), but because CodeQL's ``py/weak-sensitive-data-hashing`` - query mislabels API keys as passwords and demands a KDF. + """SHA-256 hash helper for refresh token storage. + + Plain SHA-256 is intentional: refresh tokens are 384-bit random strings, so + a slow KDF adds no security while costing per-refresh latency. API keys use + the separate ``_pbkdf2_api_key`` helper, only to satisfy CodeQL's + ``py/weak-sensitive-data-hashing`` query, not for crypto reasons. """ return hashlib.sha256(token.encode("utf-8")).hexdigest() @@ -111,7 +136,26 @@ def get_connection() -> sqlite3.Connection: """Get a connection to the auth database, creating tables if needed.""" ensure_dir(DB_PATH.parent) conn = sqlite3.connect(DB_PATH) + # Keep the auth dir + DB private (they hold the JWT/identity secrets and + # password hashes); sqlite3.connect would otherwise create the DB 0644 under + # a 022 umask, letting another OS user read the identity secret and forge proofs. + for _path, _mode in ((DB_PATH.parent, 0o700), (DB_PATH, 0o600)): + try: + os.chmod(_path, _mode) + except OSError: + pass conn.row_factory = sqlite3.Row + # WAL lets token reads run concurrently with refresh-token writes; + # busy_timeout bounds lock waits. Matches the other Unsloth SQLite stores. + # Set busy_timeout first: switching journal_mode needs a lock, so if a + # refresh-token write already holds one, journal_mode=WAL raises SQLITE_BUSY; + # with busy_timeout already in effect it waits instead of failing and leaving + # this connection on SQLite's default zero lock wait. + try: + conn.execute("PRAGMA busy_timeout=5000") + conn.execute("PRAGMA journal_mode=WAL") + except sqlite3.Error: + pass conn.execute( """ CREATE TABLE IF NOT EXISTS auth_user ( @@ -151,13 +195,9 @@ def get_connection() -> sqlite3.Connection: ); """ ) - api_key_columns = { - row["name"] for row in conn.execute("PRAGMA table_info(api_keys)") - } + api_key_columns = {row["name"] for row in conn.execute("PRAGMA table_info(api_keys)")} if "is_internal" not in api_key_columns: - conn.execute( - "ALTER TABLE api_keys ADD COLUMN is_internal INTEGER NOT NULL DEFAULT 0" - ) + conn.execute("ALTER TABLE api_keys ADD COLUMN is_internal INTEGER NOT NULL DEFAULT 0") conn.execute( """ CREATE TABLE IF NOT EXISTS app_secrets ( @@ -171,35 +211,28 @@ def get_connection() -> sqlite3.Connection: conn.execute( "ALTER TABLE auth_user ADD COLUMN must_change_password INTEGER NOT NULL DEFAULT 0" ) - refresh_columns = { - row["name"] for row in conn.execute("PRAGMA table_info(refresh_tokens)") - } + refresh_columns = {row["name"] for row in conn.execute("PRAGMA table_info(refresh_tokens)")} if "is_desktop" not in refresh_columns: - conn.execute( - "ALTER TABLE refresh_tokens ADD COLUMN is_desktop INTEGER NOT NULL DEFAULT 0" - ) + conn.execute("ALTER TABLE refresh_tokens ADD COLUMN is_desktop INTEGER NOT NULL DEFAULT 0") conn.commit() return conn # ── API-key PBKDF2 salt ──────────────────────────────────────────────── # -# Module-level cache for the persistent API-key PBKDF2 salt. Populated -# lazily on first use via ``_get_or_create_api_key_pbkdf2_salt``. Not -# protected by a lock because (a) the ``INSERT OR IGNORE`` provides -# atomicity at the SQLite layer and (b) concurrent populations converge -# on the same value, so the worst case is a harmless duplicate read on -# startup. +# Module-level cache for the persistent API-key PBKDF2 salt, populated lazily +# via ``_get_or_create_api_key_pbkdf2_salt``. No lock needed: (a) ``INSERT OR +# IGNORE`` is atomic at the SQLite layer and (b) concurrent populations +# converge on the same value, so the worst case is a harmless duplicate read +# on startup. _api_key_pbkdf2_salt_cache: Optional[bytes] = None def _get_or_create_api_key_pbkdf2_salt() -> bytes: """Return the persistent API-key PBKDF2 salt, generating it once if missing. - Stored as a hex-encoded 32-byte random value in the ``app_secrets`` - table under key ``"api_key_pbkdf2_salt"``. Regenerated only if the row - is missing (i.e. fresh install, or operator manually deleted the row - and accepts invalidating existing API keys). + Hex-encoded 32-byte random value in ``app_secrets``. Regenerated only when + the row is missing (fresh install, or operator deleted it). """ global _api_key_pbkdf2_salt_cache if _api_key_pbkdf2_salt_cache is not None: @@ -232,6 +265,114 @@ def _get_or_create_api_key_pbkdf2_salt() -> bytes: return salt +# Secret answering the /api/auth/identity challenge (HMAC(secret, nonce)). Lives +# in this same-user DB so a port squatter or remote/fake server can't forge a +# proof. Separate from the per-user JWT secret. +_IDENTITY_SECRET_DB_KEY = "studio_identity_secret" +_identity_secret_cache: Optional[bytes] = None + + +def get_or_create_identity_secret() -> bytes: + """Return the identity secret (hex 32-byte row in app_secrets), creating it once.""" + global _identity_secret_cache + if _identity_secret_cache is not None: + return _identity_secret_cache + + conn = get_connection() + try: + row = conn.execute( + "SELECT value FROM app_secrets WHERE key = ?", + (_IDENTITY_SECRET_DB_KEY,), + ).fetchone() + if row is None: + conn.execute( + "INSERT OR IGNORE INTO app_secrets (key, value) VALUES (?, ?)", + (_IDENTITY_SECRET_DB_KEY, secrets.token_hex(32)), + ) + conn.commit() + row = conn.execute( + "SELECT value FROM app_secrets WHERE key = ?", + (_IDENTITY_SECRET_DB_KEY,), + ).fetchone() + secret = bytes.fromhex(row["value"]) + finally: + conn.close() + + _identity_secret_cache = secret + return secret + + +def compute_identity_proof(nonce: bytes, host: str, port: int) -> str: + """HMAC-SHA256 proof that the caller holds this install's identity secret, + bound to the loopback address and port the connection landed on. A proof + relayed from an Unsloth on a different address/port (a squatter proxying to the + real one, e.g. localhost resolving to ::1 while Unsloth is on 127.0.0.1) was + computed for that other endpoint and won't match the one the client dialed.""" + try: + host = ipaddress.ip_address(host).compressed # normalise 127.0.0.1 / ::1 forms + except ValueError: + host = (host or "").lower() + msg = b"|".join([nonce, host.encode(), str(int(port)).encode()]) + return hmac.new(get_or_create_identity_secret(), msg, hashlib.sha256).hexdigest() + + +# Capability secret for public ``/p`` preview share links. HMAC(secret, ref) +# turns the deterministic preview ref into an unguessable bearer capability, so a +# guessed run/checkpoint name can't reach inference. Dedicated (not the per-user +# JWT secret) so rotating it revokes every shared link without touching logins. +_PREVIEW_LINK_SECRET_DB_KEY = "preview_link_secret" +_preview_link_secret_cache: Optional[bytes] = None + + +def get_or_create_preview_link_secret() -> bytes: + """Return the preview-link signing secret (hex 32-byte row in app_secrets), creating it once.""" + global _preview_link_secret_cache + if _preview_link_secret_cache is not None: + return _preview_link_secret_cache + + conn = get_connection() + try: + row = conn.execute( + "SELECT value FROM app_secrets WHERE key = ?", + (_PREVIEW_LINK_SECRET_DB_KEY,), + ).fetchone() + if row is None: + conn.execute( + "INSERT OR IGNORE INTO app_secrets (key, value) VALUES (?, ?)", + (_PREVIEW_LINK_SECRET_DB_KEY, secrets.token_hex(32)), + ) + conn.commit() + row = conn.execute( + "SELECT value FROM app_secrets WHERE key = ?", + (_PREVIEW_LINK_SECRET_DB_KEY,), + ).fetchone() + secret = bytes.fromhex(row["value"]) + finally: + conn.close() + + _preview_link_secret_cache = secret + return secret + + +def rotate_preview_link_secret() -> bytes: + """Rotate the preview-link secret, immediately revoking every outstanding ``/p`` share link.""" + global _preview_link_secret_cache + new_secret_hex = secrets.token_hex(32) + conn = get_connection() + try: + conn.execute( + "INSERT OR REPLACE INTO app_secrets (key, value) VALUES (?, ?)", + (_PREVIEW_LINK_SECRET_DB_KEY, new_secret_hex), + ) + conn.commit() + finally: + conn.close() + + secret = bytes.fromhex(new_secret_hex) + _preview_link_secret_cache = secret + return secret + + _API_KEY_PBKDF2_ITERATIONS = 100_000 DESKTOP_SECRET_PREFIX = "desktop-" _DESKTOP_SECRET_HASH_KEY = "desktop_secret_hash" @@ -241,22 +382,10 @@ def _get_or_create_api_key_pbkdf2_salt() -> bytes: def _pbkdf2_api_key(raw_key: str) -> str: """PBKDF2-HMAC-SHA256 an API key with a persistent server-side salt. - Used for API-key storage ONLY, not refresh tokens. Matches the - PBKDF2 algorithm + iteration count used by the password hasher in - ``auth/hashing.py`` so the codebase is consistent on which KDF it - uses for credential storage. - - Notes on why a slow KDF here is *only* a CodeQL appeasement and - *not* a cryptographic requirement: API keys are cryptographically - random 128-bit tokens (via ``secrets.token_hex``), so brute force - against 2^128 is infeasible regardless of hash speed. CodeQL's - ``py/weak-sensitive-data-hashing`` query mislabels these tokens as - "password" sensitive data and then demands a KDF from its - allowlist (Argon2 / scrypt / bcrypt / PBKDF2). Per the query's - own recommendation page we use PBKDF2. The persistent salt is - still loaded from ``app_secrets`` so an attacker dumping the - ``api_keys`` table alone cannot derive hashes for candidate - tokens without also obtaining the salt row. + For API-key storage ONLY, not refresh tokens. The slow KDF is only to + appease CodeQL's ``py/weak-sensitive-data-hashing`` query, not a crypto + requirement (API keys are random 128-bit tokens). The salt lives in + ``app_secrets`` so dumping ``api_keys`` alone can't derive hashes. """ salt = _get_or_create_api_key_pbkdf2_salt() dk = hashlib.pbkdf2_hmac( @@ -272,6 +401,29 @@ def _pbkdf2_desktop_secret(raw_secret: str) -> str: return _pbkdf2_api_key(raw_secret) +# Memoize the deterministic raw-key -> PBKDF2-hash derivation so the 100k-round +# KDF runs once per key instead of on every authenticated request. Keyed by a +# salted HMAC of the key (not the key itself); revocation/expiry are still +# enforced by the SQLite read on every call, so a cache hit only skips the KDF. +# Only keys present in the DB are cached, so unknown-key spam can't grow it. +_api_key_hash_cache: dict[str, str] = {} +_API_KEY_HASH_CACHE_MAX = 4096 +_api_key_hash_cache_lock = threading.Lock() + + +def _api_key_cache_id(raw_key: str) -> str: + """Cache id for a raw key: salted HMAC-SHA256 (not the key itself).""" + return hmac.new( + _get_or_create_api_key_pbkdf2_salt(), raw_key.encode("utf-8"), hashlib.sha256 + ).hexdigest() + + +def _reset_api_key_hash_cache() -> None: + """Drop memoized derivations (tests / salt change).""" + with _api_key_hash_cache_lock: + _api_key_hash_cache.clear() + + def is_initialized() -> bool: """Check if auth is ready for login (at least one user exists in DB).""" conn = get_connection() @@ -430,8 +582,18 @@ def ensure_default_admin() -> bool: return False -def update_password(username: str, new_password: str) -> bool: - """Update password, clear first-login requirement, rotate JWT secret.""" +def update_password( + username: str, + new_password: str, + *, + revoke_refresh_tokens: bool = False, +) -> bool: + """Update password, clear first-login requirement, rotate JWT secret. + + ``revoke_refresh_tokens`` deletes the user's refresh tokens in the SAME + transaction: a separate delete could fail after the password commit and + leave a pre-change token still able to mint access tokens. + """ from .hashing import hash_password salt, pwd_hash = hash_password(new_password) @@ -446,6 +608,8 @@ def update_password(username: str, new_password: str) -> bool: """, (salt, pwd_hash, jwt_secret, username), ) + if revoke_refresh_tokens and cursor.rowcount > 0: + conn.execute("DELETE FROM refresh_tokens WHERE username = ?", (username,)) conn.commit() if cursor.rowcount > 0: clear_bootstrap_password() @@ -521,7 +685,7 @@ def verify_refresh_token(token: str) -> Optional[Tuple[str, bool]]: token_hash = _hash_token(token) conn = get_connection() try: - # Clean up any expired tokens while we're here + # Opportunistically clean up expired tokens conn.execute( "DELETE FROM refresh_tokens WHERE expires_at < ?", (datetime.now(timezone.utc).isoformat(),), @@ -740,7 +904,9 @@ def validate_api_key(raw_key: str) -> Optional[str]: Also updates ``last_used_at`` on success. """ - key_hash = _pbkdf2_api_key(raw_key) + cache_id = _api_key_cache_id(raw_key) + cached_hash = _api_key_hash_cache.get(cache_id) + key_hash = cached_hash if cached_hash is not None else _pbkdf2_api_key(raw_key) conn = get_connection() try: cur = conn.execute( @@ -750,6 +916,12 @@ def validate_api_key(raw_key: str) -> Optional[str]: row = cur.fetchone() if row is None: return None + # Real key: memoize so later requests skip the KDF. Bounded; clear on overflow. + if cached_hash is None: + with _api_key_hash_cache_lock: + if len(_api_key_hash_cache) >= _API_KEY_HASH_CACHE_MAX: + _api_key_hash_cache.clear() + _api_key_hash_cache[cache_id] = key_hash if not row["is_active"]: return None if row["expires_at"] is not None: diff --git a/studio/backend/auth/terminal_prompt.py b/studio/backend/auth/terminal_prompt.py new file mode 100644 index 0000000000..e855f4078b --- /dev/null +++ b/studio/backend/auth/terminal_prompt.py @@ -0,0 +1,282 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 + +"""Interactive terminal prompt that forces a bootstrap password change before +Unsloth is exposed on a public Cloudflare URL (``--secure`` / ``--cloudflare``). + +Masked input echoes one ``*`` per keystroke (unlike ``getpass``). Works on +Windows (``msvcrt``) and Linux/macOS (``termios``). All output goes to stderr so +redirected stdout never swallows the prompt. + +Mirrored for the CLI at ``unsloth_cli/commands/_password_prompt.py`` (the CLI +cannot import the Unsloth backend package); keep the two in sync. +""" + +from __future__ import annotations + +import os +import sys +from typing import Callable, TextIO + +_CTRL_C = "\x03" +_CTRL_D = "\x04" +_CTRL_Z = "\x1a" +_BACKSPACES = ("\x7f", "\x08") +_SUBMITS = ("\r", "\n") + +# Env var that supplies the initial admin password non-interactively (mirror in +# unsloth_cli/commands/_password_prompt.py). Keep the name in sync. +SUPPLIED_PASSWORD_ENV = "UNSLOTH_STUDIO_PASSWORD" + + +def _getch_windows() -> str: # pragma: no cover - exercised via fake on Linux CI + import msvcrt + + ch = msvcrt.getwch() + # Function/arrow keys arrive as a two-wchar \x00/\xe0 sequence; consume the + # second half and report a no-op control char. + if ch in ("\x00", "\xe0"): + msvcrt.getwch() + return "\x00" + return ch + + +class _RestoreTtyOnSignals: + """Restore terminal attrs if SIGTERM/SIGHUP kills the prompt mid-read. + + A finally block can't run when a signal terminates the process, leaving the + shared terminal in cbreak/no-echo. Best-effort: no-op off the main thread or + where the signals are absent. + """ + + def __init__(self, fd: int, old_attrs) -> None: + self._fd = fd + self._old_attrs = old_attrs + self._previous: list = [] + + def __enter__(self) -> "_RestoreTtyOnSignals": + import signal + import termios + + def _restore_and_reraise(signum, frame): + termios.tcsetattr(self._fd, termios.TCSADRAIN, self._old_attrs) + signal.signal(signum, signal.SIG_DFL) + signal.raise_signal(signum) + + for name in ("SIGTERM", "SIGHUP"): + sig = getattr(signal, name, None) + if sig is None: + continue + try: + self._previous.append((sig, signal.signal(sig, _restore_and_reraise))) + except (ValueError, OSError): # non-main thread / unsupported + pass + return self + + def __exit__(self, *exc) -> None: + import signal + for sig, previous in self._previous: + try: + signal.signal(sig, previous) + except (ValueError, OSError): + pass + + +class _prompt_raw_mode: + """Hold cbreak + cleared ISIG (no echo) on stdin for the WHOLE prompt line, + restoring when the line finishes (and on SIGTERM/SIGHUP). + + Echo must never re-enable mid-line: cbreak echoes on receipt, so a keystroke + arriving while echo is on would appear in cleartext. One cbreak block for the + whole line closes that window. No-op when stdin is not a real terminal, so + the _getch seam can be faked in tests. + """ + + def __enter__(self) -> "_prompt_raw_mode": + self._fd = None + self._old_attrs = None + self._signals = None + try: + import termios + import tty + except ImportError: # non-POSIX (Windows uses msvcrt, no mode to hold) + return self + try: + fd = sys.stdin.fileno() + old_attrs = termios.tcgetattr(fd) + except (AttributeError, ValueError, OSError, termios.error): + return self # redirected / captured stdin (tests): nothing to hold + self._fd = fd + self._old_attrs = old_attrs + self._signals = _RestoreTtyOnSignals(fd, old_attrs) + self._signals.__enter__() + # cbreak (not raw) keeps output post-processing while disabling echo/line + # buffering. It leaves ISIG on, so clear it and surface Ctrl-C as \x03 to + # the caller loop, which restores the tty itself. + tty.setcbreak(fd, termios.TCSADRAIN) + new_attrs = termios.tcgetattr(fd) + new_attrs[3] &= ~termios.ISIG + termios.tcsetattr(fd, termios.TCSADRAIN, new_attrs) + return self + + def __exit__(self, *exc) -> None: + if self._old_attrs is None: + return + import termios + try: + termios.tcsetattr(self._fd, termios.TCSADRAIN, self._old_attrs) + finally: + if self._signals is not None: + self._signals.__exit__(*exc) + + +def _getch_posix() -> str: # pragma: no cover - needs a real tty + # Terminal already in cbreak+no-echo for the whole line (_prompt_raw_mode), + # so just read. Byte-at-a-time incremental decode so a multi-byte UTF-8 char + # straddling a read boundary isn't dropped. + import codecs + + fd = sys.stdin.fileno() + decoder = codecs.getincrementaldecoder(sys.stdin.encoding or "utf-8")("replace") + while True: + b = os.read(fd, 1) + if not b: + return "" # stream EOF; caller raises EOFError + ch = decoder.decode(b) + if ch: + return ch + + +_getch: Callable[[], str] = _getch_windows if os.name == "nt" else _getch_posix + + +def _read_password(prompt: str, *, out: "TextIO | None" = None) -> str: + """Read one masked line: echo ``*`` per char, support backspace editing. + + Raises KeyboardInterrupt on Ctrl-C and EOFError on Ctrl-D/Ctrl-Z with an + empty buffer; the terminal is restored on every exit path. + """ + if out is None: + out = sys.stderr + out.write(prompt) + out.flush() + chars: list[str] = [] + with _prompt_raw_mode(): + while True: + key = _getch() + if key == "": # stream ended mid-line: abort, don't submit a partial + out.write("\n") + out.flush() + raise EOFError + for ch in key: # a paste can deliver several chars per read + if ch in _SUBMITS: + out.write("\n") + out.flush() + return "".join(chars) + if ch == _CTRL_C: + out.write("\n") + out.flush() + raise KeyboardInterrupt + if ch in (_CTRL_D, _CTRL_Z): + if not chars: + out.write("\n") + out.flush() + raise EOFError + continue # ignore mid-input + if ch in _BACKSPACES: + if chars: + chars.pop() + out.write("\b \b") + out.flush() + continue + if ch < " ": # other control characters (tab, escape, ...) + continue + chars.append(ch) + out.write("*") + out.flush() + + +def should_prompt_password_change( + *, tunnel_will_start: bool, requires_change: bool, stdin_isatty: bool, stderr_isatty: bool +) -> bool: + """Whether to block startup on an interactive terminal password change. + + True only when the tunnel is actually about to start, the admin still has + the seeded password, and both stdin and stderr are real terminals (headless + launches keep the bootstrap-timeout protection instead of hanging). + """ + return tunnel_will_start and requires_change and stdin_isatty and stderr_isatty + + +def prompt_for_password_change( + *, + min_length: int, + is_current_password: Callable[[str], bool], + apply_change: Callable[[str], None], + username: str = "unsloth", + out: "TextIO | None" = None, +) -> bool: + """Force a new admin password before public exposure; True on success. + + Loops until a valid, confirmed password is committed via ``apply_change``. + Ctrl-C / EOF returns False; the caller must then abort the launch. + """ + if out is None: + out = sys.stderr + out.write( + "\n" + "Unsloth Studio will be exposed on the public internet, so set a\n" + "password now. Ctrl+C to abort.\n\n" + ) + out.flush() + try: + while True: + new_password = _read_password("New password: ", out = out) + if len(new_password) < min_length: + out.write(f"Password must be at least {min_length} characters; try again.\n") + out.flush() + continue + if is_current_password(new_password): + out.write( + "New password must differ from the current bootstrap password; try again.\n" + ) + out.flush() + continue + confirmation = _read_password("Confirm new password: ", out = out) + if confirmation != new_password: + out.write("Passwords do not match; try again.\n") + out.flush() + continue + apply_change(new_password) + out.write(f"Password updated for '{username}'.\n") + out.flush() + return True + except (KeyboardInterrupt, EOFError): + out.write("Password change aborted; not exposing Unsloth.\n") + out.flush() + return False + + +def resolve_supplied_password(cli_value: "str | None", out: "TextIO | None" = None) -> "str | None": + """Resolve a non-interactive initial admin password, or None if unset. + + Precedence: an explicit ``--password`` (literal ``-`` reads a line from + stdin), then the ``UNSLOTH_STUDIO_PASSWORD`` env var; empty/omitted means off. + A literal argv value is visible in the process list, so a note points at the + env var or stdin instead. Mirror of the CLI helper -- keep the two in sync. + """ + if out is None: + out = sys.stderr + if cli_value == "-": + line = sys.stdin.readline() + if not line: + return None + return line.rstrip("\r\n") or None + if cli_value: + out.write( + "Note: --password is visible in the process list and shell history; " + f"prefer {SUPPLIED_PASSWORD_ENV} or --password - (stdin).\n" + ) + out.flush() + return cli_value + return os.environ.get(SUPPLIED_PASSWORD_ENV) or None diff --git a/studio/backend/cloudflare_tunnel.py b/studio/backend/cloudflare_tunnel.py new file mode 100644 index 0000000000..b1ddc74c32 --- /dev/null +++ b/studio/backend/cloudflare_tunnel.py @@ -0,0 +1,386 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 + +"""Free Cloudflare quick tunnel for Unsloth's 0.0.0.0 launches. + +The raw http://: is often unreachable (https-vs-http, blocked ports, +closed security groups); a cloudflared quick tunnel gives a free +https://*.trycloudflare.com URL that works anywhere, with no account or domain. + +Best-effort throughout: any failure collapses to "no URL" and Unsloth keeps +running. Stdlib only (back-end imports are lazy) so it is safe to import early. +""" + +from __future__ import annotations + +import os +import platform +import re +import shutil +import subprocess +import sys +import threading +from pathlib import Path +from typing import Optional, Tuple + +# cloudflared logs the quick-tunnel URL; match only the URL so we do not depend +# on the surrounding wording, which Cloudflare may change. The negative lookahead +# drops cloudflared's own API host, which appears in failure lines such as +# failed to request quick Tunnel: Post "https://api.trycloudflare.com/tunnel" +# and must never be mistaken for a usable tunnel URL. +_URL_RE = re.compile(r"https://(?!api\.)[A-Za-z0-9-]+\.trycloudflare\.com") + +# cloudflared logs this once per edge connection it establishes. Until at least +# one appears the quick-tunnel URL returns Cloudflare error 1033 (HTTP 530), so +# we wait for it before advertising the URL. +_REGISTERED_MARKER = "Registered tunnel connection" + +_RELEASE_BASE = "https://github.com/cloudflare/cloudflared/releases/latest/download" + +_READY_TIMEOUT = 15.0 # seconds to wait for the URL + a registered edge connection +_DOWNLOAD_TIMEOUT = 60 # urlopen timeout for the one-time binary download + + +def _windows_hidden_kwargs() -> dict: + """Suppress a child console window on Windows; no-op elsewhere.""" + if sys.platform != "win32": + return {} + flags = getattr(subprocess, "CREATE_NO_WINDOW", 0) + return {"creationflags": flags} if flags else {} + + +def _lifetime_kwargs() -> dict: + """Bind cloudflared to the parent's lifetime (Linux PDEATHSIG). Lazy + + best-effort so this module still loads standalone (storage_roots-style).""" + try: + from utils.process_lifetime import child_popen_kwargs + return child_popen_kwargs() + except Exception: + return {} + + +def _asset_name() -> Optional[Tuple[str, bool]]: + """(release asset filename, is_tgz) for this OS/arch, or None if unsupported.""" + system = platform.system().lower() + machine = platform.machine().lower() + is_x64 = machine in ("x86_64", "amd64", "x64") + is_arm64 = machine in ("aarch64", "arm64") + is_x86 = machine in ("i386", "i686", "x86") + if system == "linux": + if is_x64: + return ("cloudflared-linux-amd64", False) + if is_arm64: + return ("cloudflared-linux-arm64", False) + elif system == "darwin": + if is_arm64: + return ("cloudflared-darwin-arm64.tgz", True) + if is_x64: + return ("cloudflared-darwin-amd64.tgz", True) + elif system == "windows": + if is_x64: + return ("cloudflared-windows-amd64.exe", False) + if is_x86: + return ("cloudflared-windows-386.exe", False) + return None + + +def _cache_path() -> Optional[Path]: + """studio_bin_root()/cloudflared(.exe), or None if the studio home is unresolvable.""" + try: + from utils.paths.storage_roots import studio_bin_root # lazy: backend-only import + except Exception: + return None + name = "cloudflared.exe" if sys.platform == "win32" else "cloudflared" + return studio_bin_root() / name + + +def find_cloudflared() -> Optional[str]: + """Locate an existing cloudflared: PATH first, then the Unsloth bin cache.""" + on_path = shutil.which("cloudflared") + if on_path: + return on_path + cached = _cache_path() + if cached is not None and cached.is_file() and os.access(cached, os.X_OK): + return str(cached) + return None + + +def _download(url: str, dest: Path) -> bool: + """Download url to dest via urllib (temp file + atomic rename). Best-effort -> bool.""" + import tempfile + import urllib.request + + tmp_path: Optional[Path] = None + try: + dest.parent.mkdir(parents = True, exist_ok = True) + with tempfile.NamedTemporaryFile( + prefix = dest.name + ".tmp-", dir = dest.parent, delete = False + ) as handle: + tmp_path = Path(handle.name) + # GitHub's CDN 403s the default Python-urllib User-Agent. + req = urllib.request.Request(url, headers = {"User-Agent": "unsloth-studio"}) + with urllib.request.urlopen(req, timeout = _DOWNLOAD_TIMEOUT) as response: + shutil.copyfileobj(response, handle) + if tmp_path.stat().st_size == 0: + raise RuntimeError("empty download") + os.replace(tmp_path, dest) + return True + except Exception: + if tmp_path is not None: + try: + tmp_path.unlink(missing_ok = True) + except Exception: + pass + return False + + +def _extract_tgz_member(tgz_path: Path, dest: Path) -> bool: + """Extract just the `cloudflared` member from a darwin .tgz to dest. + + Rejects absolute paths and `..` traversal so a hostile archive cannot write + outside dest. Best-effort -> bool. + """ + import tarfile + try: + with tarfile.open(tgz_path, "r:gz") as tar: + member = None + for m in tar.getmembers(): + if not m.isfile() or os.path.basename(m.name) != "cloudflared": + continue + if m.name.startswith("/") or ".." in Path(m.name).parts: + continue + member = m + break + if member is None: + return False + src = tar.extractfile(member) + if src is None: + return False + with src, open(dest, "wb") as out: + shutil.copyfileobj(src, out) + return True + except Exception: + return False + + +def ensure_cloudflared() -> Optional[str]: + """Return a cloudflared path, downloading + caching the binary once if missing.""" + existing = find_cloudflared() + if existing: + return existing + asset = _asset_name() + cached = _cache_path() + if asset is None or cached is None: + return None + name, is_tgz = asset + url = f"{_RELEASE_BASE}/{name}" + try: + cached.parent.mkdir(parents = True, exist_ok = True) + if is_tgz: + tgz = cached.with_suffix(".tgz") + if not _download(url, tgz) or not _extract_tgz_member(tgz, cached): + tgz.unlink(missing_ok = True) + return None + tgz.unlink(missing_ok = True) + elif not _download(url, cached): + return None + if sys.platform != "win32": + os.chmod(cached, 0o755) + return str(cached) + except Exception: + return None + + +class CloudflareTunnel: + """A cloudflared quick tunnel to http://localhost:. Best-effort throughout. + + Use localhost (not the wildcard bind) as the tunnel origin so cloudflared's + upstream stays local-only. + """ + + def __init__( + self, + port: int, + binary: str, + protocol: Optional[str] = None, + ): + self.port = port + self.binary = binary + # None lets cloudflared pick its default (quic, with its own http2 + # fallback); set to "http2" to force it when quic is blocked. + self.protocol = protocol + self._proc: Optional[subprocess.Popen] = None + self._lock = threading.Lock() + self._stopped = False + self._url_event = threading.Event() + self._ready_event = threading.Event() + self.url: Optional[str] = None + self.ready = False + self.error: Optional[str] = None + + def start(self) -> None: + cmd = [ + self.binary, + "tunnel", + "--url", + f"http://localhost:{self.port}", + "--no-autoupdate", + ] + if self.protocol: + cmd += ["--protocol", self.protocol] + with self._lock: + # A stop() that landed before us (e.g. a shutdown in the caller's + # register->start window) marks the tunnel stopped; spawning now would + # orphan a process nobody owns, so refuse. + if self._stopped: + return + proc = subprocess.Popen( + cmd, + stdout = subprocess.PIPE, + stderr = subprocess.STDOUT, + stdin = subprocess.DEVNULL, + text = True, + errors = "replace", + bufsize = 1, + **_windows_hidden_kwargs(), + **_lifetime_kwargs(), + ) + self._proc = proc + threading.Thread( + target = self._reader, args = (proc,), name = "cloudflared-reader", daemon = True + ).start() + + def _reader(self, proc: subprocess.Popen) -> None: + # Drain cloudflared's output: capture the first trycloudflare URL and the + # first edge-connection registration, and keep draining so it never + # blocks on a full pipe. + try: + if proc.stdout is not None: + for line in proc.stdout: + if self.url is None: + match = _URL_RE.search(line) + if match: + self.url = match.group(0) + self._url_event.set() + if not self.ready and _REGISTERED_MARKER in line: + self.ready = True + self._ready_event.set() + except Exception: + pass + finally: + # stdout closed -> cloudflared has exited. Record why, and unblock any + # waiters at once instead of letting them wait out the full timeout. + if self.url is None: + self.error = "cloudflared exited before emitting a tunnel URL" + elif not self.ready: + self.error = "cloudflared exited before the tunnel connection registered" + self._url_event.set() + self._ready_event.set() + + def wait_for_ready(self, timeout: float = _READY_TIMEOUT) -> Optional[str]: + """Block until the tunnel is actually serving -- the URL has been minted + *and* at least one edge connection has registered -- or until timeout. + + Returns the URL only when ready, so callers never advertise a URL that + would return Cloudflare error 1033 (HTTP 530).""" + self._ready_event.wait(timeout) + return self.url if self.ready else None + + def stop(self) -> None: + """Terminate the tunnel. Idempotent and safe to call from a signal handler.""" + with self._lock: + # Mark stopped so a start() racing behind us refuses to spawn. + self._stopped = True + proc, self._proc = self._proc, None + if proc is None: + return + try: + if proc.poll() is None: + proc.terminate() + try: + proc.wait(timeout = 5) + except subprocess.TimeoutExpired: + proc.kill() + try: + proc.wait(timeout = 5) + except Exception: + pass + except Exception: + pass + + +# Single serving process per Unsloth launch, so one module-level tunnel handle is +# enough; the lock guards the start/stop/shutdown races. +_active_tunnel: Optional[CloudflareTunnel] = None +_active_lock = threading.Lock() +# Latched by stop_studio_tunnel so a shutdown landing *between* a start's retry +# attempts aborts the loop instead of starting a tunnel nobody will ever stop. +_shutdown_requested = False + + +def start_studio_tunnel(port: int, timeout: float = _READY_TIMEOUT) -> Optional[str]: + """Start a quick tunnel and return its public URL once it is actually + serving, or None (best-effort). + + Waits for cloudflared to both mint the URL and register an edge connection + before returning, so the caller never advertises a URL that yields Cloudflare + error 1033 (HTTP 530). If a URL is minted but no connection registers within + the window (e.g. quic is blocked on this network), retries once forcing the + http2 protocol. On any failure the tunnel is stopped and None is returned. + """ + global _active_tunnel, _shutdown_requested + binary = ensure_cloudflared() + if not binary: + return None + with _active_lock: + _shutdown_requested = False # fresh session + # Default protocol first (quic, with cloudflared's own http2 fallback); if a + # URL appears but no connection registers, quic is likely blocked -> retry + # once forcing http2. + for protocol in (None, "http2"): + # Create + register under the lock, and bail if a stop already landed + # (e.g. between this and the previous attempt) so we never start a tunnel + # after shutdown has run. + with _active_lock: + if _shutdown_requested: + _active_tunnel = None + return None + tunnel = CloudflareTunnel(port, binary, protocol = protocol) + prior, _active_tunnel = _active_tunnel, tunnel + if prior is not None: + prior.stop() + try: + tunnel.start() + url = tunnel.wait_for_ready(timeout) + except Exception: + url = None + if url: + return url + saw_url = tunnel.url is not None + # Not ready: drop it, but only if we are still the active tunnel. + with _active_lock: + was_active = _active_tunnel is tunnel + if was_active: + _active_tunnel = None + tunnel.stop() + # A concurrent shutdown or start took over while we waited; retrying would + # spawn a tunnel nobody owns (orphaned after shutdown), so bail instead. + if not was_active: + return None + # No URL at all is an API/network failure, not a protocol one; forcing + # http2 will not help, so do not burn another window on it. + if not saw_url: + return None + return None + + +def stop_studio_tunnel() -> None: + """Terminate the active tunnel, if any. Idempotent.""" + global _active_tunnel, _shutdown_requested + with _active_lock: + # Latch so an in-flight start_studio_tunnel won't start a fresh tunnel + # (e.g. its http2 retry) after we have already torn down. + _shutdown_requested = True + tunnel, _active_tunnel = _active_tunnel, None + if tunnel is not None: + tunnel.stop() diff --git a/studio/backend/colab.py b/studio/backend/colab.py index 7336f8a532..1762469bcf 100644 --- a/studio/backend/colab.py +++ b/studio/backend/colab.py @@ -2,15 +2,13 @@ # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 """ -Colab-specific helpers for running Unsloth Studio. -Uses Colab's built-in proxy - no external tunneling needed! +Colab helpers for Unsloth Studio. Uses Colab's built-in proxy. """ from pathlib import Path import sys -# Fix for Anaconda/conda-forge Python: seed platform._sys_version_cache before -# any library imports that trigger attrs -> rich -> structlog -> platform crash. +# Seed platform._sys_version_cache before attrs->rich->structlog->platform crash on conda Python. # See: https://github.com/python/cpython/issues/102396 _backend_dir = str(Path(__file__).parent) if _backend_dir not in sys.path: @@ -25,31 +23,59 @@ def get_colab_url(port: int = 8888) -> str: """ - Get the actual Colab proxy URL for a port. + Get the Colab proxy URL for a port. + + Retries up to 3 times, validating the result is a real HTTPS Colab URL. + Falls back to http://localhost:{port} only when all attempts fail. """ + import time as _time + + fallback = f"http://localhost:{port}" + try: from google.colab.output import eval_js + except ImportError: + return fallback - # Use Colab's proxy mechanism - url = eval_js(f"google.colab.kernel.proxyPort({port})", timeout_sec = 5) - return url if url else f"http://localhost:{port}" - except Exception as e: - logger.info(f"Note: Could not get Colab URL ({e})") - return f"http://localhost:{port}" + for attempt in range(3): + try: + url = eval_js(f"google.colab.kernel.proxyPort({port})", timeout_sec = 10) + # Valid proxy URL is https:// and embeds the port. + if url and isinstance(url, str) and url.startswith("https://") and str(port) in url: + return url.rstrip("/") + except Exception as e: + logger.info(f"Note: Could not get Colab URL (attempt {attempt + 1}/3: {e})") + if attempt < 2: + _time.sleep(1) + + logger.warning( + f"Could not get a valid Colab proxy URL after 3 attempts — using localhost fallback. " + f"The link/iframe may not work from outside the runtime." + ) + return fallback -def show_link(port: int = 8888): - """Display a styled clickable link to the UI.""" +def show_link(port: int = 8888, *, _url: "str | None" = None): + """Display a styled clickable link to the UI. + + *_url* is an optional pre-fetched proxy URL; pass it to avoid a second eval_js round-trip. + """ from IPython.display import display, HTML - # Get real Colab proxy URL - url = get_colab_url(port) + url = _url if _url is not None else get_colab_url(port) + + # Truncated display URL; try/except so an odd URL shape still renders the link. + try: + port_prefix = f"{port}-" + idx = url.index(port_prefix) + next_dash = url.index("-", idx + len(port_prefix)) + short_url = url[: next_dash + 1] + "..." + except (ValueError, IndexError): + short_url = url + + # Plain-text line so the URL shows even if HTML display fails. + logger.info(f"🌐 Unsloth Studio URL: {url}") - short_url = ( - url[: url.index("-", url.index(f"{port}-") + len(str(port)) + 1) + 1] + "..." - if f"{port}-" in url - else url - ) html = f"""

@@ -59,10 +85,10 @@ def show_link(port: int = 8888): height="48" style="display:block;"> Unsloth Studio is Ready! - + font-weight: 800; font-size: 16px; cursor: pointer;"> Open Unsloth Studio @@ -77,18 +103,213 @@ def show_link(port: int = 8888): display(HTML(html)) -def start(port: int = 8888): +def _bootstrap_password_pending() -> bool: + """True while the default admin still owes a bootstrap-password change. + + While pending, main.py injects that password into same-origin GETs, and a public + tunnel GET (no Origin) reads as same-origin, so sharing the link would leak admin + access. Fails safe to pending if the state cannot be read. + """ + try: + from auth.storage import requires_password_change, DEFAULT_ADMIN_USERNAME + return bool(requires_password_change(DEFAULT_ADMIN_USERNAME)) + except Exception as e: + logger.info(f"Could not check admin password state ({e}); refusing tunnel to be safe.") + return True + + +def start_cloudflare_tunnel(port: int) -> "str | None": + """Open a shareable Cloudflare quick tunnel to localhost:*port*, or None. + + run_server suppresses the tunnel on Colab by design, so we start it directly. + Refused while the bootstrap password is pending; any failure collapses to None + and the Colab proxy still works. + """ + if _bootstrap_password_pending(): + logger.warning( + "Cloudflare link not started: the admin account still has its temporary " + "bootstrap password, which is exposed to anyone who can load the page. " + "Open Unsloth in this tab, log in and change the admin password, then re-run " + "start(cloudflare=True) to get the shareable link." + ) + return None + try: + from cloudflare_tunnel import start_studio_tunnel + except Exception as e: + logger.info(f"Cloudflare tunnel unavailable ({e}); using Colab proxy only.") + return None + try: + url = start_studio_tunnel(port) + except Exception as e: + logger.info(f"Cloudflare tunnel failed to start ({e}); using Colab proxy only.") + return None + # Success is logged by _show_and_embed; note only misses here. + if not url: + logger.info("Cloudflare tunnel did not produce a URL; using Colab proxy only.") + return url + + +def _publish_cloudflare_url(cloudflare_url: "str | None") -> None: + """Publish a directly-started tunnel URL onto app.state so /api/health advertises it. + + run_server only sets this when it opens the tunnel itself, which it skips on Colab, + so we set it here. Otherwise the frontend's API examples fall back to an + unreachable server_url. Best-effort. + """ + if not cloudflare_url: + return + try: + from main import app as _studio_app + _studio_app.state.cloudflare_url = cloudflare_url + except Exception as e: + logger.info(f"Could not publish Cloudflare URL to /api/health ({e}).") + + +def _stop_cloudflare_tunnel() -> None: + """Best-effort teardown of the Cloudflare tunnel started by start_cloudflare_tunnel.""" + try: + from cloudflare_tunnel import stop_studio_tunnel + stop_studio_tunnel() + except Exception: + pass + # Stop /api/health advertising a dead tunnel. + try: + from main import app as _studio_app + _studio_app.state.cloudflare_url = None + except Exception: + pass + + +def _is_studio_healthy(port: int, timeout: float = 2.0) -> bool: + """True only if Unsloth Studio (not some other app) answers /api/health on *port*. + + The service-marker check stops the reuse path reusing or tunneling a foreign + process that merely serves /api/health. + """ + import json, urllib.request + try: + with urllib.request.urlopen(f"http://localhost:{port}/api/health", timeout = timeout) as r: + return json.loads(r.read()).get("service") == "Unsloth UI Backend" + except Exception: + return False + + +def _shareable_link_html(cloudflare_url: str) -> str: + """Branded card for the shareable Cloudflare link, styled like the show_link banner.""" + return f""" +
+

+ + Shareable Unsloth Link is Ready! +

+ + + Open Unsloth Studio + +

+ This Cloudflare HTTPS link works from any device — share it with anyone. The Colab view below only works in this tab. +

+

+ 🔗 {cloudflare_url} +

+
""" - Start Unsloth Studio server in Colab and display the URL. + + +def _show_and_embed(port: int, *, cloudflare_url: "str | None" = None): + """Render the Unsloth header + iframe for *port*, with a shareable-link card above + when *cloudflare_url* is set. Falls back to serve_kernel_port_as_iframe.""" + url = get_colab_url(port) + logger.info(f"🌐 Unsloth Studio URL: {url}") + if cloudflare_url: + logger.info(f"🔗 Shareable Cloudflare link: {cloudflare_url}") + + try: + from IPython.display import HTML, display + + iframe_id = f"unsloth-studio-{port}" + + # Truncated header URL — best-effort, falls back to full URL. + try: + port_prefix = f"{port}-" + idx = url.index(port_prefix) + next_dash = url.index("-", idx + len(port_prefix)) + short_url = url[: next_dash + 1] + "..." + except (ValueError, IndexError): + short_url = url + + if cloudflare_url: + display(HTML(_shareable_link_html(cloudflare_url))) + + display( + HTML(f""" +
+
+ + Unsloth Studio + {short_url} +
+ +
+""") + ) + except Exception: + # Fallback: Colab's built-in helper. + try: + from google.colab import output as colab_output + colab_output.serve_kernel_port_as_iframe(port, height = 900, width = "100%") + except ImportError: + pass + + +def start(port: int = 8888, *, cloudflare: bool = False): + """Start Unsloth Studio in Colab and display the URL. + + Args: + port: Port to bind/serve on. + cloudflare: Opt in to a shareable Cloudflare HTTPS link reachable from any + device (default OFF). It exposes Unsloth's login page beyond Colab, so it + stays an explicit opt-in; the default shows only the in-tab proxy iframe. Usage: - from colab import start - start() + start() # Colab-proxy iframe only (default) + start(cloudflare=True) # also open a shareable Cloudflare link """ - import sys + import time logger.info("🦥 Starting Unsloth Studio...") + # Fast path: Unsloth already running (cell re-run). Re-launching would collide on + # the port, so just re-show the link and iframe. + if _is_studio_healthy(port): + logger.info(f" Unsloth is already running on port {port} — reusing existing server.") + # try/finally: tear the tunnel down even if interrupted mid-start/render. + try: + cf_url = start_cloudflare_tunnel(port) if cloudflare else None + _publish_cloudflare_url(cf_url) + _show_and_embed(port, cloudflare_url = cf_url) + for _ in range(10000): + time.sleep(300) + print("=", end = "", flush = True) + except KeyboardInterrupt: + logger.info("\nUnsloth Studio keepalive stopped.") + finally: + _stop_cloudflare_tunnel() + return + logger.info(" Loading backend...") from run import run_server @@ -96,18 +317,69 @@ def start(port: int = 8888): repo_root = Path(__file__).parent.parent frontend_path = repo_root / "frontend" / "dist" - if not frontend_path.exists(): + if not (frontend_path / "index.html").exists(): logger.info("❌ Frontend not built! Please run the setup cell first.") return logger.info(" Starting server...") - # Start server silently - run_server(host = "0.0.0.0", port = port, frontend_path = frontend_path, silent = True) + try: + # cloudflare=False: this helper owns the tunnel (Colab's own + # start(cloudflare=...) drives it), so pin it off explicitly. + app = run_server( + host = "0.0.0.0", + port = port, + frontend_path = frontend_path, + silent = True, + cloudflare = False, + ) + except SystemExit as exc: + logger.error(f"❌ Unsloth Studio failed to start: {exc}") + return + except Exception as exc: + logger.error(f"❌ Unsloth Studio failed to start: {exc}") + return + + # run_server auto-increments the port if in use; read back the bound port so the + # proxy URL and iframe point at the right place. + actual_port: int = getattr(getattr(app, "state", None), "server_port", None) or port + + logger.info(f" Server started on port {actual_port}!") - logger.info(" Server started!") + # Poll health endpoint before showing the link — avoids the race where ready_event + # fires but the process hasn't finished binding. + import urllib.request + + server_ready = False + for _ in range(40): + try: + with urllib.request.urlopen(f"http://localhost:{actual_port}/api/health", timeout = 1): + server_ready = True + break + except Exception: + time.sleep(0.5) + + if not server_ready: + logger.error( + f"❌ Unsloth Studio did not become healthy on port {actual_port}. " + "Check for errors above." + ) + return + + # Open the tunnel now the server is healthy, publish its URL for /api/health, and + # tear it down on interrupt (try/finally) rather than orphan the process. + try: + cf_url = start_cloudflare_tunnel(actual_port) if cloudflare else None + _publish_cloudflare_url(cf_url) + _show_and_embed(actual_port, cloudflare_url = cf_url) - # Show the clickable link with real URL - show_link(port) + # Keep kernel alive so the daemon server thread runs. + for _ in range(10000): + time.sleep(300) + print("=", end = "", flush = True) + except KeyboardInterrupt: + logger.info("\nUnsloth Studio keepalive stopped.") + finally: + _stop_cloudflare_tunnel() if __name__ == "__main__": diff --git a/studio/backend/core/__init__.py b/studio/backend/core/__init__.py index d39815c437..30ecb27f81 100644 --- a/studio/backend/core/__init__.py +++ b/studio/backend/core/__init__.py @@ -4,18 +4,16 @@ """ Unified core module for Unsloth backend -Imports are LAZY (via __getattr__) so that training subprocesses can -import core.training.worker without pulling in heavy ML dependencies -like unsloth, transformers, or torch before the version activation -code has a chance to run. +Imports are LAZY (via __getattr__) so training subprocesses can import +core.training.worker without pulling in heavy ML deps (unsloth, transformers, +torch) before the version-activation code runs. """ import sys from pathlib import Path -# Ensure the backend directory is on sys.path so that bare "from utils.*" -# imports used throughout the backend work when core is imported as a package -# (e.g. from the CLI: "from studio.backend.core import ModelConfig"). +# Add backend dir to sys.path so bare "from utils.*" imports work when core +# is imported as a package. _backend_dir = str(Path(__file__).resolve().parent.parent) if _backend_dir not in sys.path: sys.path.insert(0, _backend_dir) @@ -69,7 +67,7 @@ def __getattr__(name): globals()["TrainingProgress"] = TrainingProgress return globals()[name] - # Config (from utils.models) + # Config (utils.models) if name in ( "is_vision_model", "ModelConfig", @@ -140,7 +138,6 @@ def __getattr__(name): # Datasets if name == "format_and_template_dataset": from utils.datasets import format_and_template_dataset - globals()["format_and_template_dataset"] = format_and_template_dataset return format_and_template_dataset diff --git a/studio/backend/core/_torchao_stub.py b/studio/backend/core/_torchao_stub.py new file mode 100644 index 0000000000..6336954bd5 --- /dev/null +++ b/studio/backend/core/_torchao_stub.py @@ -0,0 +1,135 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 + +"""Shared torchao Windows-ROCm import stub. + +torchao (pulled in by transformers.quantizers) imports distributed_c10d.py +unconditionally, which crashes on Windows ROCm because the RCCL backend +(torch._C._distributed_c10d) is absent. Stubbing torchao short-circuits its +import chain; _StubSubpackageFinder handles any depth of torchao.xxx.yyy. +Worker subprocesses call install_torchao_windows_rocm_stub() before importing +transformers / unsloth_zoo. +""" + +from __future__ import annotations + +import sys +import types +import importlib.abc +import importlib.machinery + +_STUB_SENTINEL = object() + + +# Metaclass for stub types so isinstance(x, StubClass) returns False instead of +# raising TypeError -- peft's lora/torchao.py does isinstance() against torchao +# types, which fails if those names resolve to stub modules rather than types. +class _StubTypeMeta(type): + def __instancecheck__(cls, instance): + return False + + def __subclasscheck__(cls, subclass): + return False + + def __getattr__(cls, attr): + if attr.startswith("__"): + raise AttributeError(attr) + child = _StubTypeMeta(attr, (), {}) + setattr(cls, attr, child) + return child + + def __call__(cls, *args, **kwargs): + return None + + +def _make_stub_type(name): + """Stub class: accepted by isinstance() (always False), supports attr access.""" + return _StubTypeMeta(name, (), {}) + + +def _make_mod_stub(mod_name): + m = types.ModuleType(mod_name) + m.__path__ = [] + m.__package__ = mod_name + m._unsloth_stub = _STUB_SENTINEL + m.__spec__ = importlib.machinery.ModuleSpec(mod_name, loader = None, is_package = True) + + def _ga( + attr, + _m = m, + _n = mod_name, + ): + if attr.startswith("__"): + raise AttributeError(attr) + # Return a stub CLASS (not module) so isinstance() returns False, not TypeError. + child = _make_stub_type(f"{_n}.{attr}") + setattr(_m, attr, child) + return child + + m.__getattr__ = _ga + return m + + +class _StubSubpackageLoader(importlib.abc.Loader): + def __init__(self, mod_name): + self._mod_name = mod_name + + def create_module(self, spec): + return _make_mod_stub(self._mod_name) + + def exec_module(self, module): + pass + + +class _StubSubpackageFinder(importlib.abc.MetaPathFinder): + def find_spec( + self, + fullname, + path, + target = None, + ): + if "." not in fullname: + return None + parent = sys.modules.get(fullname.rsplit(".", 1)[0]) + if parent is None: + return None + if getattr(parent, "_unsloth_stub", None) is not _STUB_SENTINEL: + return None + return importlib.machinery.ModuleSpec( + fullname, _StubSubpackageLoader(fullname), is_package = True + ) + + +def install_torchao_windows_rocm_stub() -> None: + """Pre-stub torchao on Windows ROCm so transformers/peft imports don't crash. + + No-op elsewhere (incl. Windows CUDA, where torchao is real). Must run before + importing transformers / unsloth_zoo. Safe to call once per worker. + """ + # Gate on the active torch runtime, not env-var presence -- HIP_PATH/ROCM_PATH + # persist after reverting to a CUDA wheel. Some ROCm wheels lack + # torch.version.hip but still encode "rocm" in __version__, so accept either. + _is_win32_rocm = False + if sys.platform == "win32": + try: + import torch as _torch_probe + _is_win32_rocm = bool( + getattr(getattr(_torch_probe, "version", None), "hip", None) + or "rocm" in getattr(_torch_probe, "__version__", "").lower() + ) + del _torch_probe + except Exception: + pass + if _is_win32_rocm: + # Register the finder only on Windows ROCm. + sys.meta_path.append(_StubSubpackageFinder()) + # Seed torchao top-level + key submodules; the finder handles the rest. + for _tao_name in ( + "torchao", + "torchao.quantization", + "torchao.dtypes", + "torchao.float8", + "torchao.utils", + ): + if _tao_name not in sys.modules: + sys.modules[_tao_name] = _make_mod_stub(_tao_name) diff --git a/studio/backend/core/data_recipe/__init__.py b/studio/backend/core/data_recipe/__init__.py index 239e406300..ebc2798375 100644 --- a/studio/backend/core/data_recipe/__init__.py +++ b/studio/backend/core/data_recipe/__init__.py @@ -1,9 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -""" -Data Recipe core (DataDesigner wrapper + job runner). -""" +"""Data Recipe core (DataDesigner wrapper + job runner).""" from .jobs import JobManager, get_job_manager diff --git a/studio/backend/core/data_recipe/huggingface.py b/studio/backend/core/data_recipe/huggingface.py index 16f6b15af5..7a1219b2c3 100644 --- a/studio/backend/core/data_recipe/huggingface.py +++ b/studio/backend/core/data_recipe/huggingface.py @@ -36,9 +36,7 @@ def _resolve_recipe_artifact_path(artifact_path: str) -> Path: if not resolved.exists(): raise RecipeDatasetPublishError("Execution artifacts are no longer available.") if not resolved.is_dir(): - raise RecipeDatasetPublishError( - "Execution artifact path is not a dataset folder." - ) + raise RecipeDatasetPublishError("Execution artifact path is not a dataset folder.") return resolved @@ -97,8 +95,7 @@ def publish_recipe_dataset( tags = None, ) card.text = card.text.replace(_DATA_DESIGNER_FOOTER, _UNSLOTH_STUDIO_FOOTER) - # Data Designer currently drops the explicit token when pushing the - # dataset card. Push it ourselves so auth stays request-local. + # Data Designer drops the explicit token, so push the card ourselves to keep auth request-local. card.push_to_hub(repo_id, token = hf_token, repo_type = "dataset") client._upload_main_dataset_files( diff --git a/studio/backend/core/data_recipe/jobs/manager.py b/studio/backend/core/data_recipe/jobs/manager.py index cdc28d9560..0e0044702e 100644 --- a/studio/backend/core/data_recipe/jobs/manager.py +++ b/studio/backend/core/data_recipe/jobs/manager.py @@ -28,6 +28,9 @@ from .parse import apply_update, coerce_event, parse_log_message from .types import Job from .worker import run_job_process +from loggers import get_logger + +logger = get_logger(__name__) _CTX = mp.get_context("spawn") @@ -108,9 +111,7 @@ def format_sse(self, event: dict) -> bytes: event_id = self._next_id body = json.dumps(event, separators = (",", ":"), ensure_ascii = False) event_type = event.get("type") or "message" - return ( - f"id: {event_id}\n" f"event: {event_type}\n" f"data: {body}\n\n" - ).encode("utf-8") + return (f"id: {event_id}\n" f"event: {event_type}\n" f"data: {body}\n\n").encode("utf-8") class JobManager: @@ -134,10 +135,9 @@ def start( ) -> str: """Spawn the job subprocess (one at a time, no cap). - ``internal_api_key_id`` is the row id of a workflow-scoped - sk-unsloth-* key minted by the route layer for local providers. - JobManager revokes it when the job reaches a terminal state so the - key's live window is no longer than the run. + ``internal_api_key_id`` is a workflow-scoped sk-unsloth-* key row id + minted by the route layer; revoked on terminal state so the key's + live window is no longer than the run. """ llm_columns = recipe.get("columns") or [] llm_column_count = 0 @@ -158,9 +158,7 @@ def start( job_id = uuid.uuid4().hex self._job = Job(job_id = job_id, status = "pending", started_at = time.time()) self._job.progress_columns_total = llm_column_count - self._job.source_progress_estimated_total = _github_source_estimated_total( - recipe - ) + self._job.source_progress_estimated_total = _github_source_estimated_total(recipe) self._job.internal_api_key_id = internal_api_key_id self._events.clear() self._seq = 0 @@ -181,15 +179,16 @@ def start( daemon = True, ) proc.start() + from utils.process_lifetime import adopt_pid + + adopt_pid(proc.pid) # bind to parent lifetime (Windows job / sweep) self._mp_q = mp_q self._proc = proc self._pump_thread = threading.Thread(target = self._pump_loop, daemon = True) self._pump_thread.start() - self._emit( - {"type": EVENT_JOB_ENQUEUED, "ts": time.time(), "job_id": job_id} - ) + self._emit({"type": EVENT_JOB_ENQUEUED, "ts": time.time(), "job_id": job_id}) return job_id def cancel(self, job_id: str) -> bool: @@ -200,9 +199,7 @@ def cancel(self, job_id: str) -> bool: if self._proc is None or not self._proc.is_alive(): return True self._job.status = "cancelling" - self._emit( - {"type": EVENT_JOB_CANCELLING, "ts": time.time(), "job_id": job_id} - ) + self._emit({"type": EVENT_JOB_CANCELLING, "ts": time.time(), "job_id": job_id}) try: self._proc.terminate() except (AttributeError, OSError): @@ -210,7 +207,7 @@ def cancel(self, job_id: str) -> bool: return True def get_status(self, job_id: str) -> dict | None: - """UI friendly snapshot that we need. Alternative to sse kinda of and structured""" + """UI-friendly structured snapshot; an alternative to SSE.""" with self._lock: if self._job is None or self._job.job_id != job_id: return None @@ -319,19 +316,12 @@ def get_dataset( if not parquet_dir.exists(): return {"error": f"dataset path missing: {parquet_dir}"} - return self._load_dataset_page( - parquet_dir = parquet_dir, limit = limit, offset = offset - ) + return self._load_dataset_page(parquet_dir = parquet_dir, limit = limit, offset = offset) except Exception as exc: return {"error": f"dataset load failed: {exc}"} @staticmethod - def _load_dataset_page( - *, - parquet_dir: Path, - limit: int, - offset: int, - ) -> dict[str, Any]: + def _load_dataset_page(*, parquet_dir: Path, limit: int, offset: int) -> dict[str, Any]: dataset_page = JobManager._load_dataset_page_with_duckdb( parquet_dir = parquet_dir, limit = limit, @@ -347,10 +337,7 @@ def _load_dataset_page( @staticmethod def _load_dataset_page_with_duckdb( - *, - parquet_dir: Path, - limit: int, - offset: int, + *, parquet_dir: Path, limit: int, offset: int ) -> dict[str, Any] | None: parquet_glob = str((parquet_dir / "*.parquet").resolve()) try: @@ -389,10 +376,7 @@ def _load_dataset_page_with_duckdb( @staticmethod def _load_dataset_page_with_data_designer( - *, - parquet_dir: Path, - limit: int, - offset: int, + *, parquet_dir: Path, limit: int, offset: int ) -> dict[str, Any]: from data_designer.config.utils.io_helpers import read_parquet_dataset @@ -402,7 +386,10 @@ def _load_dataset_page_with_data_designer( return {"dataset": to_preview_jsonable(rows), "total": total} def subscribe( - self, job_id: str, *, after_seq: int | None = None + self, + job_id: str, + *, + after_seq: int | None = None, ) -> Subscription | None: """SSE subscribe: get replay buffer + live events stream.""" with self._lock: @@ -461,56 +448,86 @@ def _drain_queue(q: Any) -> list[dict]: events.append(coerce_event(q.get_nowait())) except queue.Empty: return events - except (EOFError, OSError, ValueError): + except Exception: + # Return what we have so the run still finalizes rather than wedging "active". + logger.exception( + "Data-recipe job pump: queue drain failed; finalizing with drained events" + ) return events + def _safe_handle_event(self, job: Job, event: dict) -> None: + """Apply one event, swallowing any handler error so the pump can't die.""" + try: + self._handle_event(job, event) + except Exception: + etype = event.get("type") if isinstance(event, dict) else type(event).__name__ + logger.exception("Data-recipe job pump: failed to handle %s event; skipping", etype) + def _pump_loop(self) -> None: - """Background thread: consumes worker events + updates job snapshot.""" + """Background thread: consume worker events and update the job snapshot. + + Guarded so no single event can end the loop; it is the sole writer of the + snapshot the UI polls, so its death would freeze status/SSE. + """ while True: snap = self._snapshot() if snap is None: return job, proc, mp_q = snap - event = self._read_queue_with_timeout(mp_q, timeout_sec = 0.25) + try: + event = self._read_queue_with_timeout(mp_q, timeout_sec = 0.25) + except Exception: + # If a read keeps raising after the worker died, finalize instead + # of spinning forever; only retry while the worker is still alive. + logger.exception("Data-recipe job pump: queue read failed; continuing") + if proc.is_alive(): + time.sleep(0.1) + continue + event = None + if event is not None: - self._handle_event(job, event) + self._safe_handle_event(job, event) continue if proc.is_alive(): continue - for e in self._drain_queue(mp_q): - self._handle_event(job, e) - - retired_job: Job | None = None - with self._lock: - if self._job and self._job.status in { - "pending", - "active", - "cancelling", - }: - if self._job.status == "cancelling": - self._job.status = "cancelled" - else: - self._job.status = "error" - self._job.error = self._job.error or "process exited" - self._job.finished_at = time.time() - event_type = ( - EVENT_JOB_CANCELLED - if self._job.status == "cancelled" - else EVENT_JOB_ERROR - ) - self._emit( - { - "type": event_type, - "ts": time.time(), - "job_id": self._job.job_id, - } - ) - retired_job = self._job - if retired_job is not None: - self._retire_workflow_key(retired_job) + # Worker exited: drain + finalize, guarded so an error can't strand the run "active". + try: + for e in self._drain_queue(mp_q): + self._safe_handle_event(job, e) + + retired_job: Job | None = None + with self._lock: + if self._job and self._job.status in { + "pending", + "active", + "cancelling", + }: + if self._job.status == "cancelling": + self._job.status = "cancelled" + else: + self._job.status = "error" + self._job.error = self._job.error or "process exited" + self._job.finished_at = time.time() + event_type = ( + EVENT_JOB_CANCELLED + if self._job.status == "cancelled" + else EVENT_JOB_ERROR + ) + self._emit( + { + "type": event_type, + "ts": time.time(), + "job_id": self._job.job_id, + } + ) + retired_job = self._job + if retired_job is not None: + self._retire_workflow_key(retired_job) + except Exception: + logger.exception("Data-recipe job pump: finalization after worker exit failed") return def _handle_event(self, job: Job, event: dict) -> None: @@ -557,16 +574,14 @@ def _handle_event(self, job: Job, event: dict) -> None: def _retire_workflow_key(self, job: Job) -> None: """Revoke the workflow-scoped sk-unsloth-* key, if one was minted. - Best-effort: revocation failures are swallowed. The key would - expire on its own after 24h, so a missed revoke is a latency - concern, not a correctness one. + Best-effort: failures are swallowed. The key expires after 24h, so a + missed revoke is a latency, not correctness, concern. """ key_id = getattr(job, "internal_api_key_id", None) if not key_id: return try: - from auth import storage # deferred: avoids circular import - + from auth import storage # deferred: avoid circular import storage.revoke_internal_api_key(int(key_id)) except Exception: pass diff --git a/studio/backend/core/data_recipe/jobs/parse.py b/studio/backend/core/data_recipe/jobs/parse.py index cea6d8ea64..8c2e8a4d55 100644 --- a/studio/backend/core/data_recipe/jobs/parse.py +++ b/studio/backend/core/data_recipe/jobs/parse.py @@ -46,7 +46,7 @@ class ParsedUpdate: source_progress: SourceProgress | None = None -# kinda of a bummber but currently only option, Best effort parser from data-designer logs -> structured status for UI. +# Best-effort parser from data-designer logs -> structured status for UI. _RE_SAMPLERS = re.compile( r"Preparing samplers to generate (?P\d+) records across (?P\d+) columns" ) @@ -119,8 +119,7 @@ def parse_log_message(msg: str) -> ParsedUpdate | None: page_items = page_items, rate_remaining = int(m.group("remaining")), message = ( - f"Scraping GitHub source: {repo} " - f"{resource} page {page} (+{page_items})" + f"Scraping GitHub source: {repo} " f"{resource} page {page} (+{page_items})" ), ), ) @@ -134,10 +133,7 @@ def parse_log_message(msg: str) -> ParsedUpdate | None: source = "github", status = "rate_limited", retry_after_sec = seconds, - message = ( - "Waiting for GitHub rate limit. " - "Studio will resume automatically." - ), + message = ("Waiting for GitHub rate limit. Unsloth will resume automatically."), ), ) @@ -151,8 +147,7 @@ def parse_log_message(msg: str) -> ParsedUpdate | None: status = "rate_limited", retry_after_sec = seconds, message = ( - "Waiting for GitHub secondary rate limit. " - "Studio will resume automatically." + "Waiting for GitHub secondary rate limit. Unsloth will resume automatically." ), ), ) @@ -166,10 +161,7 @@ def parse_log_message(msg: str) -> ParsedUpdate | None: source = "github", status = "rate_limited", retry_after_sec = seconds, - message = ( - "Waiting for GitHub rate limit. " - "Studio will resume automatically." - ), + message = ("Waiting for GitHub rate limit. Unsloth will resume automatically."), ), ) @@ -335,7 +327,7 @@ def apply_update(job: Job, update: ParsedUpdate) -> None: _apply_source_progress(job, update.source_progress) if update.stage in USAGE_RESET_STAGES: - # usage summary is a short block so we reset once we move into the next stage. + # Usage summary is a short block; reset on the next stage. job._in_usage_summary = False if update.usage_section_start is not None: @@ -387,15 +379,13 @@ def _apply_source_progress(job: Job, progress: SourceProgress) -> None: count_key = f"{progress.repo}:{progress.resource}" if page_key not in job._source_seen_pages: job._source_seen_pages.add(page_key) - job._source_counts[count_key] = int( - job._source_counts.get(count_key, 0) - ) + int(page_items or 0) + job._source_counts[count_key] = int(job._source_counts.get(count_key, 0)) + int( + page_items or 0 + ) fetched_items = sum(job._source_counts.values()) if fetched_items <= 0: - fetched_items = progress.fetched_items or ( - previous.fetched_items if previous else None - ) + fetched_items = progress.fetched_items or (previous.fetched_items if previous else None) estimated_total = ( progress.estimated_total @@ -415,14 +405,10 @@ def _apply_source_progress(job: Job, progress: SourceProgress) -> None: repo = progress.repo or (previous.repo if previous else None), resource = progress.resource or (previous.resource if previous else None), page = ( - progress.page - if progress.page is not None - else (previous.page if previous else None) + progress.page if progress.page is not None else (previous.page if previous else None) ), page_items = ( - page_items - if page_items is not None - else (previous.page_items if previous else None) + page_items if page_items is not None else (previous.page_items if previous else None) ), fetched_items = fetched_items, estimated_total = estimated_total, @@ -453,9 +439,7 @@ def _compute_overall_progress(job: Job, column_progress: Progress) -> Progress: if len(job._column_done) == 0: done = current_done else: - sum_done = sum( - max(0, min(value, total_rows)) for value in job._column_done.values() - ) + sum_done = sum(max(0, min(value, total_rows)) for value in job._column_done.values()) done = int(sum_done / total_columns) prev_done = int(job.progress.done or 0) diff --git a/studio/backend/core/data_recipe/jobs/types.py b/studio/backend/core/data_recipe/jobs/types.py index 3d3ddb974e..c30606b2d1 100644 --- a/studio/backend/core/data_recipe/jobs/types.py +++ b/studio/backend/core/data_recipe/jobs/types.py @@ -90,9 +90,8 @@ class Job: progress_columns_total: int | None = None source_progress_estimated_total: int | None = None completed_columns: list[str] = field(default_factory = list) - # Id of the internal sk-unsloth-* API key minted for a local-model - # workflow. Revoked when the job terminates so the key's live window - # matches the run rather than its 24h TTL. + # Id of the internal sk-unsloth-* API key minted for a local-model workflow. + # Revoked when the job ends so the key's window matches the run, not its 24h TTL. internal_api_key_id: int | None = None _current_usage_model: str | None = None _in_usage_summary: bool = False diff --git a/studio/backend/core/data_recipe/jobs/worker.py b/studio/backend/core/data_recipe/jobs/worker.py index 8c5c7fe657..4073288cb3 100644 --- a/studio/backend/core/data_recipe/jobs/worker.py +++ b/studio/backend/core/data_recipe/jobs/worker.py @@ -60,9 +60,7 @@ def _slugify_run_name(value: str) -> str: return slug[:80].strip("-") -def _build_dataset_name( - *, run_name: str | None, job_id: str, artifact_root: Path -) -> str: +def _build_dataset_name(*, run_name: str | None, job_id: str, artifact_root: Path) -> str: fallback = f"recipe_{job_id}" slug = _slugify_run_name(run_name or "") base_name = f"recipe_{slug}" if slug else fallback @@ -74,21 +72,11 @@ def _build_dataset_name( return candidate -def run_job_process( - *, - event_queue, - recipe: dict[str, Any], - run: dict[str, Any], -) -> None: - """ - Subprocess entrypoint. - Sends events to `event_queue`. - """ +def run_job_process(*, event_queue, recipe: dict[str, Any], run: dict[str, Any]) -> None: + """Subprocess entrypoint. Sends events to `event_queue`.""" import os - os.environ["PYTHONWARNINGS"] = ( - "ignore" # Suppress warnings at C-level before imports - ) + os.environ["PYTHONWARNINGS"] = "ignore" # suppress C-level warnings before imports import warnings from loggers.config import LogConfig @@ -124,8 +112,8 @@ def run_job_process( builder = build_config_builder(recipe) designer = create_data_designer(recipe, artifact_path = str(_ARTIFACT_ROOT)) - # DataDesigner configures root logging in DataDesigner.__init__. - # Attach queue logger directly to `data_designer` so parser events survive root resets. + # DataDesigner resets root logging in __init__; attach the queue handler + # to the named loggers directly so parser events survive. handler = _QueueLogHandler(event_queue) handler.setLevel(logging.INFO) for logger_name in ( @@ -172,14 +160,10 @@ def run_job_process( } ) else: - results = designer.create( - builder, num_records = rows, dataset_name = dataset_name - ) + results = designer.create(builder, num_records = rows, dataset_name = dataset_name) analysis = to_jsonable(results.load_analysis().model_dump(mode = "json")) if merge_batches: - _merge_batches_to_single_parquet( - results.artifact_storage.base_dataset_path - ) + _merge_batches_to_single_parquet(results.artifact_storage.base_dataset_path) artifact_path = str(results.artifact_storage.base_dataset_path) event_queue.put( { diff --git a/studio/backend/core/data_recipe/jsonable.py b/studio/backend/core/data_recipe/jsonable.py index 8bec60cf82..5a4fcd35c3 100644 --- a/studio/backend/core/data_recipe/jsonable.py +++ b/studio/backend/core/data_recipe/jsonable.py @@ -23,7 +23,6 @@ def _pil_to_preview_payload(image: Any) -> dict[str, Any]: def _open_pil_image_from_bytes(raw_bytes: bytes): from PIL import Image # type: ignore - with Image.open(io.BytesIO(raw_bytes)) as image: return image.copy() @@ -52,7 +51,6 @@ def _to_pil_from_hf_image_dict(value: Any) -> Any | None: if isinstance(path_value, str) and path_value.strip(): try: from PIL import Image # type: ignore - with Image.open(Path(path_value)) as image: return image.copy() except (OSError, ValueError, TypeError): diff --git a/studio/backend/core/data_recipe/local_callable_validators.py b/studio/backend/core/data_recipe/local_callable_validators.py index 44459e88c5..ffc81669ae 100644 --- a/studio/backend/core/data_recipe/local_callable_validators.py +++ b/studio/backend/core/data_recipe/local_callable_validators.py @@ -14,6 +14,7 @@ from typing import Any from loggers import get_logger +from utils.node_runtime import resolve_node_executable from utils.paths import ensure_dir, oxc_validator_tmp_root logger = get_logger(__name__) @@ -81,9 +82,7 @@ def split_oxc_local_callable_validators( def register_oxc_local_callable_validators( - *, - builder, - specs: list[OxcLocalCallableValidatorSpec], + *, builder, specs: list[OxcLocalCallableValidatorSpec] ) -> None: if not specs: return @@ -114,10 +113,7 @@ def register_oxc_local_callable_validators( ) -def _parse_oxc_spec( - *, - column: dict[str, Any], -) -> OxcLocalCallableValidatorSpec | None: +def _parse_oxc_spec(*, column: dict[str, Any]) -> OxcLocalCallableValidatorSpec | None: if str(column.get("column_type") or "").strip() != "validation": return None if str(column.get("validator_type") or "").strip() != "local_callable": @@ -138,11 +134,7 @@ def _parse_oxc_spec( target_columns_raw = column.get("target_columns") target_columns = ( - [ - value.strip() - for value in target_columns_raw - if isinstance(value, str) and value.strip() - ] + [value.strip() for value in target_columns_raw if isinstance(value, str) and value.strip()] if isinstance(target_columns_raw, list) else [] ) @@ -182,9 +174,7 @@ def _parse_oxc_validation_marker(fn_name: str) -> tuple[str, str, str]: return "javascript", "syntax", "auto" code_lang = parts[0] if parts[0] in _OXC_LANG_TO_NODE_LANG else "javascript" mode = parts[1] if parts[1] in _OXC_VALIDATION_MODES else "syntax" - code_shape = ( - parts[2] if len(parts) >= 3 and parts[2] in _OXC_CODE_SHAPES else "auto" - ) + code_shape = parts[2] if len(parts) >= 3 and parts[2] in _OXC_CODE_SHAPES else "auto" return code_lang, mode, code_shape @@ -195,7 +185,7 @@ def _build_oxc_validation_function(lang: str, validation_mode: str, code_shape: normalized_code_shape = code_shape if code_shape in _OXC_CODE_SHAPES else "auto" def _validator(df): - import pandas as pd # imported lazily for local callable runtime + import pandas as pd # lazy import for local callable runtime row_count = int(len(df.index)) if row_count == 0: @@ -205,10 +195,7 @@ def _validator(df): code_values = ( ["" for _ in range(row_count)] if not code_column - else [ - "" if value is None else str(value) - for value in df[code_column].tolist() - ] + else ["" if value is None else str(value) for value in df[code_column].tolist()] ) results = _run_oxc_batch( @@ -224,16 +211,14 @@ def _validator(df): ) return pd.DataFrame(results) - _validator.__name__ = f"{OXC_VALIDATION_FN_MARKER}_{node_lang}_{mode.replace('+', '_')}_{normalized_code_shape}" + _validator.__name__ = ( + f"{OXC_VALIDATION_FN_MARKER}_{node_lang}_{mode.replace('+', '_')}_{normalized_code_shape}" + ) return _validator def _run_oxc_batch( - *, - node_lang: str, - validation_mode: str, - code_shape: str, - code_values: list[str], + *, node_lang: str, validation_mode: str, code_shape: str, code_values: list[str] ) -> list[dict[str, Any]]: if not _OXC_RUNNER_PATH.exists(): return _fallback_results( @@ -247,6 +232,14 @@ def _run_oxc_batch( "code_shape": code_shape, "codes": code_values, } + # Resolve a usable Node (system or the isolated install, which is not on the + # user's PATH); a bare "node" would fail for isolated-Node users. + node_executable = resolve_node_executable() + if not node_executable: + return _fallback_results( + len(code_values), + "Node.js not found (install Node >= 20.19, or re-run Unsloth setup to provision it).", + ) try: tmp_dir = ensure_dir(oxc_validator_tmp_root()) env = child_env_without_native_path_secret() @@ -254,8 +247,13 @@ def _run_oxc_batch( env["TMPDIR"] = tmp_dir_str env["TMP"] = tmp_dir_str env["TEMP"] = tmp_dir_str + # Resolved node's dir first on the child PATH so it finds its own npm/npx. + node_bin_dir = os.path.dirname(node_executable) + if node_bin_dir: + env["PATH"] = node_bin_dir + os.pathsep + env.get("PATH", "") + env.pop("NODE_PATH", None) proc = subprocess.run( - ["node", str(_OXC_RUNNER_PATH)], + [node_executable, str(_OXC_RUNNER_PATH)], cwd = str(_OXC_TOOL_DIR), input = json.dumps(payload), text = True, @@ -308,21 +306,13 @@ def _run_oxc_batch( warning_count_raw = item.get("warning_count") out.append( { - "is_valid": bool(is_valid_raw) - if isinstance(is_valid_raw, bool) - else False, - "error_count": int(error_count_raw) - if isinstance(error_count_raw, int) - else 0, + "is_valid": bool(is_valid_raw) if isinstance(is_valid_raw, bool) else False, + "error_count": int(error_count_raw) 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111ae2b257..2817b6c7c3 100644 --- a/studio/backend/core/data_recipe/oxc-validator/package.json +++ b/studio/backend/core/data_recipe/oxc-validator/package.json @@ -4,7 +4,7 @@ "version": "0.0.1", "type": "module", "dependencies": { - "oxc-parser": "^0.123.0", - "oxlint": "^1.51.0" + "oxc-parser": "^0.131.0", + "oxlint": "^1.65.0" } } diff --git a/studio/backend/core/data_recipe/service.py b/studio/backend/core/data_recipe/service.py index 7fff36aefd..9770e88b7f 100644 --- a/studio/backend/core/data_recipe/service.py +++ b/studio/backend/core/data_recipe/service.py @@ -9,6 +9,8 @@ from pathlib import Path from typing import Any +from utils.paths import recipe_datasets_root + from .jsonable import to_jsonable from .local_callable_validators import ( register_oxc_local_callable_validators, @@ -22,9 +24,7 @@ def _encode_bytes_to_base64(value: bytes | bytearray) -> str: return base64.b64encode(bytes(value)).decode("utf-8") -def _load_image_file_to_base64( - path_value: str, *, base_path: str | None = None -) -> str | None: +def _load_image_file_to_base64(path_value: str, *, base_path: str | None = None) -> str | None: try: path = Path(path_value) candidates: list[Path] = [] @@ -109,7 +109,7 @@ def _apply_data_designer_image_context_patch() -> None: return try: - from data_designer.config.models import ImageContext + from data_designer.config.models import ImageContext # pyright: ignore[reportMissingImports] except ImportError: return @@ -119,9 +119,7 @@ def _apply_data_designer_image_context_patch() -> None: original_auto_resolve = ImageContext._auto_resolve_context_value - def _patched_auto_resolve( - self: Any, context_value: Any, base_path: str | None - ) -> Any: + def _patched_auto_resolve(self: Any, context_value: Any, base_path: str | None) -> Any: normalized = _normalize_image_context_value(context_value, base_path = base_path) return original_auto_resolve(self, normalized, base_path) @@ -131,7 +129,7 @@ def _patched_auto_resolve( def build_model_providers(recipe: dict[str, Any]): - from data_designer.config.models import ModelProvider + from data_designer.config.models import ModelProvider # pyright: ignore[reportMissingImports] providers: list[ModelProvider] = [] for provider in recipe.get("model_providers", []): @@ -163,18 +161,19 @@ def _recipe_has_llm_columns(recipe: dict[str, Any]) -> bool: return False -def _validate_recipe_runtime_support( - recipe: dict[str, Any], - model_providers: list[Any], -) -> None: +def _validate_recipe_runtime_support(recipe: dict[str, Any], model_providers: list[Any]) -> None: if _recipe_has_llm_columns(recipe) and not model_providers: raise ValueError("Add a Provider connection block before running this recipe.") -def build_mcp_providers( - recipe: dict[str, Any], -) -> list: - from data_designer.config.mcp import LocalStdioMCPProvider, MCPProvider +def build_mcp_providers(recipe: dict[str, Any]) -> list: + from data_designer.config.mcp import LocalStdioMCPProvider, MCPProvider # pyright: ignore[reportMissingImports] + + # Same gate as the chat MCP path: stdio providers spawn a local subprocess, + # so build them only when this host allows it (desktop / explicit opt-in). + from core.inference.mcp_client import stdio_mcp_enabled + + stdio_allowed = stdio_mcp_enabled() providers: list[MCPProvider | LocalStdioMCPProvider] = [] for provider in recipe.get("mcp_providers", []): @@ -182,6 +181,8 @@ def build_mcp_providers( continue provider_type = provider.get("provider_type") if provider_type == "stdio": + if not stdio_allowed: + continue env = provider.get("env") if not isinstance(env, dict): env = {} @@ -214,19 +215,43 @@ def build_mcp_providers( return providers +def _strip_frontend_model_config_metadata(recipe: dict[str, Any]) -> dict[str, Any]: + model_configs = recipe.get("model_configs") + if not isinstance(model_configs, list): + return recipe + + changed = False + next_model_configs: list[Any] = [] + for model_config in model_configs: + if isinstance(model_config, dict) and "gguf_variant" in model_config: + next_model_config = dict(model_config) + next_model_config.pop("gguf_variant", None) + next_model_configs.append(next_model_config) + changed = True + continue + next_model_configs.append(model_config) + + if not changed: + return recipe + + return { + **recipe, + "model_configs": next_model_configs, + } + + def build_config_builder(recipe: dict[str, Any]): _apply_data_designer_image_context_patch() - from data_designer.config import DataDesignerConfigBuilder - from data_designer.config.processors import ProcessorType + from data_designer.config import DataDesignerConfigBuilder # pyright: ignore[reportMissingImports] + from data_designer.config.processors import ProcessorType # pyright: ignore[reportMissingImports] recipe_core = { key: value for key, value in recipe.items() if key not in {"model_providers", "mcp_providers"} } - recipe_core, oxc_local_callable_specs = split_oxc_local_callable_validators( - recipe_core - ) + recipe_core = _strip_frontend_model_config_metadata(recipe_core) + recipe_core, oxc_local_callable_specs = split_oxc_local_callable_validators(recipe_core) builder = DataDesignerConfigBuilder.from_config({"data_designer": recipe_core}) register_oxc_local_callable_validators( builder = builder, @@ -234,7 +259,7 @@ def build_config_builder(recipe: dict[str, Any]): ) # DataDesignerConfigBuilder.from_config currently skips processors. - # Re-attach explicitly so drop_columns/schema_transform survive API payload. + # Re-attach so drop_columns/schema_transform survive the API payload. for processor in recipe_core.get("processors") or []: if not isinstance(processor, dict): continue @@ -250,23 +275,23 @@ def build_config_builder(recipe: dict[str, Any]): return builder -def create_data_designer( - recipe: dict[str, Any], - *, - artifact_path: str | None = None, -): +def create_data_designer(recipe: dict[str, Any], *, artifact_path: str | None = None): _apply_data_designer_image_context_patch() - from data_designer.interface.data_designer import DataDesigner + from data_designer.interface.data_designer import DataDesigner # pyright: ignore[reportMissingImports] + + if artifact_path is None: + # DataDesigner defaults to cwd/artifacts; packaged Unsloth can run with + # cwd=/, so keep default callers on Unsloth's writable recipe artifact root. + artifact_path = str(recipe_datasets_root()) + recipe = _strip_frontend_model_config_metadata(recipe) model_providers = build_model_providers(recipe) _validate_recipe_runtime_support(recipe, model_providers) - # DataDesigner requires at least one model provider in its registry even - # when the pipeline contains no LLM columns. Supply a lightweight stub - # so sampler/expression-only recipes can run without a real provider. + # DataDesigner requires >=1 model provider even with no LLM columns; stub + # one so sampler/expression-only recipes run without a real provider. if not model_providers: - from data_designer.config.models import ModelProvider - + from data_designer.config.models import ModelProvider # pyright: ignore[reportMissingImports] model_providers = [ ModelProvider( name = "_unused", @@ -290,8 +315,7 @@ def validate_recipe(recipe: dict[str, Any]) -> None: def preview_recipe( - recipe: dict[str, Any], - num_records: int, + recipe: dict[str, Any], num_records: int ) -> tuple[list[dict[str, Any]], dict[str, Any] | None, dict[str, Any] | None]: builder = build_config_builder(recipe) designer = create_data_designer(recipe) @@ -303,14 +327,10 @@ def preview_recipe( dataset = [to_jsonable(row) for row in raw_rows] artifacts = ( - None - if results.processor_artifacts is None - else to_jsonable(results.processor_artifacts) + None if results.processor_artifacts is None else to_jsonable(results.processor_artifacts) ) analysis = ( - None - if results.analysis is None - else to_jsonable(results.analysis.model_dump(mode = "json")) + None if results.analysis is None else to_jsonable(results.analysis.model_dump(mode = "json")) ) return dataset, artifacts, analysis diff --git a/studio/backend/core/export/__init__.py b/studio/backend/core/export/__init__.py index 16fba368ef..f7241cd925 100644 --- a/studio/backend/core/export/__init__.py +++ b/studio/backend/core/export/__init__.py @@ -1,12 +1,11 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -""" -Export submodule - Model export operations +"""Export submodule - model export operations. -The default get_export_backend() returns an ExportOrchestrator that -delegates to a subprocess. The original ExportBackend runs inside -the subprocess and can be imported directly from .export when needed. +get_export_backend() returns an ExportOrchestrator that delegates to a +subprocess. The original ExportBackend runs inside the subprocess and can be +imported directly from .export when needed. """ from .orchestrator import ExportOrchestrator, get_export_backend diff --git a/studio/backend/core/export/export.py b/studio/backend/core/export/export.py index 4ab95d896f..c8be50b08b 100644 --- a/studio/backend/core/export/export.py +++ b/studio/backend/core/export/export.py @@ -1,10 +1,7 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -# backend/export.py -""" -Export backend - handles model exporting in various formats -""" +"""Export backend - exports models in various formats.""" import glob import json @@ -13,28 +10,158 @@ from loggers import get_logger import os import shutil +import contextlib from pathlib import Path from typing import Optional, Tuple, List -from unsloth import FastLanguageModel, FastVisionModel, _IS_MLX + +# unsloth imports torch on non-MLX hosts, so a --no-torch install raises here. Stay importable +# (null the classes) so exports return a clean "PyTorch is not installed" error, not an import crash. +try: + from unsloth import FastLanguageModel, FastVisionModel, _IS_MLX + _UNSLOTH_IMPORT_ERROR = None +except Exception as _unsloth_exc: # ImportError (e.g. missing torch) or a broken native load + FastLanguageModel = None + FastVisionModel = None + _IS_MLX = False + _UNSLOTH_IMPORT_ERROR = _unsloth_exc + from huggingface_hub import HfApi, ModelCard from utils.hardware import clear_gpu_cache from utils.models import is_vision_model, get_base_model_from_lora from utils.models.model_config import detect_audio_type -from utils.paths import ensure_dir, outputs_root, resolve_export_dir, resolve_output_dir +from utils.paths import ( + ensure_dir, + outputs_root, + resolve_export_write_dir, + resolve_output_dir, +) from core.inference import get_inference_backend -# GPU-only imports — guarded for Apple Silicon where these aren't needed +# GPU/PyTorch-only imports, skipped on MLX and on a --no-torch install so the module stays +# importable; export then degrades to a clear "PyTorch is not installed" error. +torch = None +_TORCH_IMPORT_ERROR: Optional[BaseException] = None if not _IS_MLX: - from peft import PeftModel, PeftModelForCausalLM - from transformers.modeling_utils import PushToHubMixin - import torch + try: + from peft import PeftModel, PeftModelForCausalLM + from transformers.modeling_utils import PushToHubMixin + import torch + except Exception as _torch_exc: # ImportError, or a broken native torch load + _TORCH_IMPORT_ERROR = _torch_exc logger = get_logger(__name__) + +def _export_runtime_available() -> bool: + """True if export can run: MLX active, or Unsloth imported (only succeeds on a GPU host).""" + return bool(_IS_MLX) or (FastLanguageModel is not None) + + +def _export_runtime_message() -> str: + """Precise reason the export runtime is unavailable, mirroring hardware.export_capability().""" + if torch is None: + return ( + "PyTorch is not installed. Model export requires PyTorch with a supported accelerator " + "(NVIDIA, AMD, or Intel GPU) or Apple Silicon (MLX). Install PyTorch to enable export." + ) + return ( + "Export requires an NVIDIA, AMD, or Intel GPU, or Apple Silicon (MLX). No supported " + "accelerator was found on this host. (PyTorch is installed, but Unsloth cannot export on " + "CPU only.)" + ) + + +# Kept for call sites / tests referencing the PyTorch-missing text. +_PYTORCH_MISSING_MESSAGE = ( + "PyTorch is not installed. Model export requires PyTorch with a supported accelerator " + "(NVIDIA, AMD, or Intel GPU) or Apple Silicon (MLX). Install PyTorch to enable export." +) + _LLAMA_CPP_SCRIPTS_WARNING_EMITTED = False +def _supports_kwarg(fn, name): + """True if `fn` accepts keyword `name` directly or via **kwargs.""" + import inspect + + try: + params = inspect.signature(fn).parameters + except (TypeError, ValueError): + return False + return name in params or any(p.kind == inspect.Parameter.VAR_KEYWORD for p in params.values()) + + +def _compressed_export_supported(): + """True if the installed unsloth build can do FP8/NVFP4 compressed-tensors export.""" + try: + import unsloth.save as _us + return hasattr(_us, "_normalize_compressed_method") + except Exception: + return False + + +def _torchao_export_supported(): + """True if the installed unsloth build has the portable torchao FP8/INT8 export path.""" + try: + import unsloth.save as _us + return hasattr(_us, "_normalize_torchao_method") + except Exception: + return False + + +def _has_nvidia_gpu(): + """True only on a real NVIDIA CUDA box (not ROCm/XPU/CPU/MLX); compressed-tensors needs it.""" + try: + from utils.hardware import hardware as _hw + return _hw.DEVICE == _hw.DeviceType.CUDA and not _hw.IS_ROCM + except Exception: + try: + import torch + return bool(torch.cuda.is_available()) and getattr(torch.version, "hip", None) is None + except Exception: + return False + + +def _hf_offline(timeout = 3): + """True if export should avoid the Hub: honors the HF offline env vars, else does one + cheap TCP reachability probe so a network-down load uses local files / the HF cache + instead of hanging on connection timeouts. Proxy-aware (probes the proxy egress when + one is configured); disable the probe with UNSLOTH_OFFLINE_PROBE=0.""" + _offline = {"1", "true", "yes", "on"} + if ( + os.environ.get("HF_HUB_OFFLINE", "").strip().lower() in _offline + or os.environ.get("TRANSFORMERS_OFFLINE", "").strip().lower() in _offline + ): + return True + if os.environ.get("UNSLOTH_OFFLINE_PROBE", "1").strip().lower() in {"0", "false", "no", "off"}: + return False # probe disabled -> assume online; loads still pass local_files_only on env + + # Shared bounded, proxy-aware probe (also used by the export worker before version activation). + from utils.transformers_version import hf_endpoint_unreachable + + if hf_endpoint_unreachable(timeout): + logger.warning("Hugging Face endpoint unreachable; loading checkpoint in offline mode") + return True + return False + + +# Reuse Unsloth's lock-guarded forced-offline context; no-op fallback if it moves. +try: + from unsloth.models.loader_utils import _force_hf_offline +except Exception: + import contextlib as _contextlib + + @_contextlib.contextmanager + def _force_hf_offline(): + yield + + +def _offline_window_if(local_files_only): + """Forced-offline window when offline was detected, else a no-op context.""" + return _force_hf_offline() if local_files_only else contextlib.nullcontext() + + def _is_wsl(): """Detect if running under Windows Subsystem for Linux.""" try: @@ -46,10 +173,8 @@ def _is_wsl(): def _apply_wsl_sudo_patch(): """On WSL, monkey-patch do_we_need_sudo() to return False. - WSL doesn't have passwordless sudo, and do_we_need_sudo() runs - `sudo apt-get update` which hangs waiting for a stdin password - inside a non-interactive subprocess. setup.sh pre-installs the - build dependencies on WSL, so sudo is not needed at runtime. + WSL lacks passwordless sudo and do_we_need_sudo()'s `sudo apt-get update` + hangs on a stdin password; setup.sh pre-installs the build deps anyway. """ if not _is_wsl(): return @@ -58,16 +183,11 @@ def _apply_wsl_sudo_patch(): import unsloth_zoo.llama_cpp as llama_cpp_module def _wsl_do_we_need_sudo(system_type = "debian"): - logger.info( - "WSL detected — skipping sudo check " - "(build deps pre-installed by setup.sh)" - ) + logger.info("WSL detected — skipping sudo check (build deps pre-installed by setup.sh)") return False llama_cpp_module.do_we_need_sudo = _wsl_do_we_need_sudo - logger.info( - "Applied WSL sudo patch to " "unsloth_zoo.llama_cpp.do_we_need_sudo" - ) + logger.info("Applied WSL sudo patch to unsloth_zoo.llama_cpp.do_we_need_sudo") except Exception as e: logger.warning(f"Could not apply WSL sudo patch: {e}") @@ -115,18 +235,15 @@ def cleanup_memory(self): try: logger.info("Starting memory cleanup...") - # Unload all models from inference backend model_names = list(self.inference_backend.models.keys()) for model_name in model_names: self.inference_backend.unload_model(model_name) - # Clear current export state self.current_model = None self.current_tokenizer = None self.current_checkpoint = None self._audio_type = None - # Clear GPU memory cache (handles gc + backend-specific cleanup) clear_gpu_cache() logger.info("Memory cleanup completed successfully") @@ -142,11 +259,9 @@ def scan_checkpoints( """ Scan outputs folder for training runs and their checkpoints. - Returns: - List of tuples: [(model_name, [(display_name, checkpoint_path), ...]), ...] + Returns: [(model_name, [(display_name, checkpoint_path), ...]), ...] """ from utils.models.checkpoints import scan_checkpoints - return scan_checkpoints(outputs_dir = outputs_dir) def load_checkpoint( @@ -155,22 +270,27 @@ def load_checkpoint( max_seq_length: int = 2048, load_in_4bit: bool = True, trust_remote_code: bool = False, + hf_token: Optional[str] = None, ) -> Tuple[bool, str]: """ Load a checkpoint for export. + ``hf_token`` authenticates the actual weight load for gated/private + checkpoints, matching the token the worker used for the security preflight + (otherwise a gated repo passes scanning then 401s at from_pretrained). + Returns: Tuple of (success: bool, message: str) """ + token = hf_token if hf_token and hf_token.strip() else None try: logger.info(f"Loading checkpoint: {checkpoint_path}") - # First, cleanup existing models self.cleanup_memory() checkpoint_path_obj = Path(checkpoint_path) - # Determine the model identity for type detection + # Model identity for type detection adapter_config = checkpoint_path_obj / "adapter_config.json" base_model = None if adapter_config.exists(): @@ -180,11 +300,20 @@ def load_checkpoint( model_id = base_model or checkpoint_path - # Detect audio type and vision - self._audio_type = detect_audio_type(model_id) - self.is_vision = not self._audio_type and is_vision_model(model_id) + # Skip the Hub when offline so a no-internet export uses the local cache. + local_files_only = _hf_offline() + + # Run the type-detection probes in the forced-offline window (else a gated + # base 404s); it covers is_vision_model's Hub reads + the transformers-5 + # subprocess, and local_files_only makes detect_audio_type's requests.get skip. + with _offline_window_if(local_files_only): + self._audio_type = detect_audio_type( + model_id, hf_token = token, local_files_only = local_files_only + ) + self.is_vision = not self._audio_type and is_vision_model( + model_id, hf_token = token, local_files_only = local_files_only + ) - # Load model based on type if self._audio_type == "csm": from unsloth import FastModel from transformers import CsmForConditionalGeneration @@ -197,6 +326,8 @@ def load_checkpoint( auto_model = CsmForConditionalGeneration, load_in_4bit = False, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) elif self._audio_type == "whisper": @@ -210,6 +341,8 @@ def load_checkpoint( load_in_4bit = False, auto_model = WhisperForConditionalGeneration, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) elif self._audio_type == "snac": @@ -220,11 +353,12 @@ def load_checkpoint( dtype = None, load_in_4bit = load_in_4bit, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) elif self._audio_type == "bicodec": from unsloth import FastModel - logger.info("Loading as BiCodec (Spark-TTS) audio model...") model, tokenizer = FastModel.from_pretrained( model_name = checkpoint_path, @@ -232,17 +366,20 @@ def load_checkpoint( dtype = None if _IS_MLX else torch.float32, load_in_4bit = False, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) elif self._audio_type == "dac": from unsloth import FastModel - logger.info("Loading as DAC (OuteTTS) audio model...") model, tokenizer = FastModel.from_pretrained( model_name = checkpoint_path, max_seq_length = max_seq_length, load_in_4bit = False, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) elif self.is_vision: @@ -253,8 +390,10 @@ def load_checkpoint( dtype = None, load_in_4bit = load_in_4bit, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) - tokenizer = processor # For vision models, processor acts as tokenizer + tokenizer = processor # vision: processor acts as tokenizer else: logger.info("Loading as text model...") @@ -264,16 +403,16 @@ def load_checkpoint( dtype = None, load_in_4bit = load_in_4bit, trust_remote_code = trust_remote_code, + token = token, + local_files_only = local_files_only, ) - # Check if PEFT / LoRA model if _IS_MLX: # MLX doesn't use PeftModel — detect LoRA via adapter_config.json self.is_peft = adapter_config.exists() else: self.is_peft = isinstance(model, (PeftModel, PeftModelForCausalLM)) - # Store loaded model self.current_model = model self.current_tokenizer = tokenizer self.current_checkpoint = checkpoint_path @@ -320,13 +459,17 @@ def export_merged_model( repo_id: Optional[str] = None, hf_token: Optional[str] = None, private: bool = False, + compressed_method: Optional[str] = None, ) -> Tuple[bool, str, Optional[str]]: """ Export merged model (for PEFT models). Args: save_directory: Local directory to save model - format_type: "16-bit (FP16)" or "4-bit (FP4)" + format_type: "16-bit (FP16)", "4-bit (FP4)", or a compressed-tensors label + compressed_method: Optional compressed-tensors scheme alias (e.g. "fp8", + "fp8_static", "w8a8", "w4a16", "mxfp4", "mxfp8", "nvfp4"). Overrides + format_type and is resolved against unsloth.save COMPRESSED_EXPORT_SCHEMES. push_to_hub: Whether to push to Hugging Face Hub repo_id: Hub repository ID (username/model-name) hf_token: Hugging Face token @@ -335,33 +478,117 @@ def export_merged_model( Returns: Tuple of (success: bool, message: str, output_path: Optional[str]) """ + if not _export_runtime_available(): + return False, _export_runtime_message(), None if not self.current_model or not self.current_tokenizer: return False, "No model loaded. Please select a checkpoint first.", None - if not self.is_peft: - return ( - False, - "This is not a PEFT model. Use 'Export Base Model' instead.", - None, - ) + # Merged export works for PEFT adapters and non-PEFT Local/HF base models alike + # (save_pretrained_merged is a no-op merge that just saves the base). output_path: Optional[str] = None + # Quantized formats save to a sibling "-". Two backends: compressed-tensors + # (llm-compressor, NVIDIA-only) and portable torchao FP8/INT8 (device-agnostic). The alias + # comes from `compressed_method` (the "all formats" dropdown) or the `format_type` label. + _LABEL_TO_ALIAS = { + "FP8 (compressed-tensors)": "fp8", + "NVFP4 (compressed-tensors)": "nvfp4", + } + compressed_alias = compressed_method or _LABEL_TO_ALIAS.get(format_type) + compressed_suffix: Optional[str] = None + # Classify the alias: torchao-portable vs compressed-tensors. + torchao_info = None + if compressed_alias and _torchao_export_supported(): + try: + import unsloth.save as _us_t + torchao_info = _us_t._normalize_torchao_method(compressed_alias) + except Exception: + torchao_info = None + is_torchao = torchao_info is not None + is_compressed = compressed_alias is not None and not is_torchao try: - if _IS_MLX: - mlx_save_method = ( - "merged_4bit" if format_type == "4-bit (FP4)" else "merged_16bit" + if _IS_MLX and (is_compressed or is_torchao): + return ( + False, + "Quantized (FP8/FP4/INT) export is not supported on macOS/MLX. " + "Use 16-bit or GGUF.", + None, ) - else: - if format_type == "4-bit (FP4)": - save_method = "merged_4bit_forced" - elif self._audio_type == "whisper": - save_method = None + + if is_torchao: + # Portable torchao: no NVIDIA GPU, no calibration. + compressed_suffix = torchao_info[1] + + if is_compressed: + # compressed-tensors needs CUDA; enforce in the backend even if the UI gate is bypassed. + if not _has_nvidia_gpu(): + return ( + False, + "Compressed-tensors (FP8/FP4) export requires an NVIDIA GPU. On other " + "hardware use the portable FP8/INT8 (torchao) formats or 16-bit.", + None, + ) + if not _compressed_export_supported(): + return ( + False, + "Compressed-tensors (FP8/FP4) export requires an Unsloth build with " + "compressed-tensors support. Upgrade unsloth, or choose 16-bit.", + None, + ) + import unsloth.save as _us + + # Prefer the llm-compressor-main shadow (transformers 5.x): it quantizes newer models + # (Qwen3.5, Gemma-4, ...) the shipped 0.10.x cannot. Route all compressed exports + # through it when available; else fall back to the workspace 0.10.x path below. + _shadow_pp = None + try: + from utils.transformers_version import llmcompressor_shadow_pythonpath + _shadow_pp = llmcompressor_shadow_pythonpath() + except Exception as e: + logger.warning(f"llm-compressor-main shadow unavailable: {e}") + if _shadow_pp: + os.environ[_us._COMPRESSED_QUANTIZE_PYTHONPATH_ENV] = _shadow_pp else: - save_method = "merged_16bit" + # No shadow (disabled/offline/failed): the workspace 0.10.x cannot exceed its + # transformers ceiling, so fail fast for sidecar models; default-tier still works. + os.environ.pop(_us._COMPRESSED_QUANTIZE_PYTHONPATH_ENV, None) + _exceeds, _tf_ver = _us._transformers_exceeds_llm_compressor_ceiling() + if _exceeds: + return ( + False, + "FP8/FP4 compressed-tensors export is not available for this model: it " + f"runs under transformers {_tf_ver}, but the installed llm-compressor " + f"supports transformers <= {_us._LLM_COMPRESSOR_MAX_TRANSFORMERS} and the " + "llm-compressor-main runtime could not be provisioned (offline or " + "UNSLOTH_DISABLE_LLMCOMPRESSOR_MAIN). Export to GGUF or 16-bit instead.", + None, + ) + + try: + info = _us._normalize_compressed_method(compressed_alias) + except Exception as e: + return False, f"Unsupported compressed export '{compressed_alias}': {e}", None + if info is None: + return ( + False, + f"'{compressed_alias}' is not a recognized compressed-tensors export.", + None, + ) + compressed_suffix = info[2] + + if _IS_MLX: + mlx_save_method = "merged_4bit" if format_type == "4-bit (FP4)" else "merged_16bit" + elif is_compressed or is_torchao: + save_method = compressed_alias + elif format_type == "4-bit (FP4)": + save_method = "merged_4bit_forced" + elif self._audio_type == "whisper": + save_method = None + else: + save_method = "merged_16bit" - # Save locally if requested if save_directory: - save_directory = str(resolve_export_dir(save_directory)) + save_directory = str(resolve_export_write_dir(save_directory)) logger.info(f"Saving merged model locally to: {save_directory}") ensure_dir(Path(save_directory)) @@ -376,11 +603,16 @@ def export_merged_model( save_directory, self.current_tokenizer, save_method = save_method ) - self._write_export_metadata(save_directory) - logger.info(f"Model saved successfully to {save_directory}") - output_path = str(Path(save_directory).resolve()) + # Compressed / torchao writes to the "-" sibling; report that as output. + final_dir = ( + f"{save_directory}-{compressed_suffix}" + if (is_compressed or is_torchao) + else save_directory + ) + self._write_export_metadata(final_dir) + logger.info(f"Model saved successfully to {final_dir}") + output_path = str(Path(final_dir).resolve()) - # Push to hub if requested if push_to_hub: if not repo_id or not hf_token: return ( @@ -414,10 +646,33 @@ def export_merged_model( token = hf_token, private = private, ) - else: - hub_save_method = ( - save_method if save_method is not None else "merged_16bit" + elif (is_compressed or is_torchao) and output_path and Path(output_path).is_dir(): + # Already built in output_path; upload it directly instead of re-running the + # expensive quantization that push_to_hub_merged(save_method=...) would redo. + hf_api = HfApi(token = hf_token) + repo_id = PushToHubMixin._create_repo( + PushToHubMixin, + repo_id = repo_id, + private = private, + token = hf_token, + ) + content = MODEL_CARD.format( + username = repo_id.split("/")[0], + base_model = getattr(self.current_model.config, "_name_or_path", "unknown"), + model_type = getattr(self.current_model.config, "model_type", "llm"), + method = compressed_alias or format_type, + extra = "unsloth", + ) + ModelCard(content).push_to_hub( + repo_id, token = hf_token, commit_message = "Unsloth Model Card" + ) + hf_api.upload_folder( + folder_path = output_path, + repo_id = repo_id, + repo_type = "model", ) + else: + hub_save_method = save_method if save_method is not None else "merged_16bit" self.current_model.push_to_hub_merged( repo_id, self.current_tokenizer, @@ -451,6 +706,8 @@ def export_base_model( Returns: Tuple of (success: bool, message: str, output_path: Optional[str]) """ + if not _export_runtime_available(): + return False, _export_runtime_message(), None if not self.current_model or not self.current_tokenizer: return False, "No model loaded. Please select a checkpoint first.", None @@ -463,18 +720,18 @@ def export_base_model( output_path: Optional[str] = None try: - # Save locally if requested if save_directory: - save_directory = str(resolve_export_dir(save_directory)) + save_directory = str(resolve_export_write_dir(save_directory)) logger.info(f"Saving base model locally to: {save_directory}") ensure_dir(Path(save_directory)) if _IS_MLX: # MLX: save_pretrained_merged handles non-LoRA models too - # (fuse() is a no-op when there are no LoRA layers) + # (fuse() is a no-op without LoRA layers) self.current_model.save_pretrained_merged( save_directory, self.current_tokenizer, + save_method = "merged_16bit", ) else: self.current_model.save_pretrained(save_directory) @@ -485,7 +742,6 @@ def export_base_model( logger.info(f"Model saved successfully to {save_directory}") output_path = str(Path(save_directory).resolve()) - # Push to hub if requested if push_to_hub: if not repo_id or not hf_token: return ( @@ -510,6 +766,7 @@ def export_base_model( self.current_model.save_pretrained_merged( tmp_dir, self.current_tokenizer, + save_method = "merged_16bit", ) self.current_model.push_to_hub_merged( repo_id, @@ -519,14 +776,11 @@ def export_base_model( private = private, ) else: - # Get base model name from request or model config + # Base model name from request or model config base_model = ( - base_model_id - or self.current_model.config._name_or_path - or "unknown" + base_model_id or self.current_model.config._name_or_path or "unknown" ) - # Create repo hf_api = HfApi(token = hf_token) repo_id = PushToHubMixin._create_repo( PushToHubMixin, @@ -536,7 +790,6 @@ def export_base_model( ) username = repo_id.split("/")[0] - # Create and push model card content = MODEL_CARD.format( username = username, base_model = base_model, @@ -545,11 +798,8 @@ def export_base_model( extra = "unsloth", ) card = ModelCard(content) - card.push_to_hub( - repo_id, token = hf_token, commit_message = "Unsloth Model Card" - ) + card.push_to_hub(repo_id, token = hf_token, commit_message = "Unsloth Model Card") - # Upload model files if save_directory: hf_api.upload_folder( folder_path = save_directory, @@ -576,17 +826,20 @@ def export_base_model( def export_gguf( self, save_directory: str, - quantization_method: str = "Q4_K_M", + quantization_method = "Q4_K_M", push_to_hub: bool = False, repo_id: Optional[str] = None, hf_token: Optional[str] = None, + imatrix_file = None, ) -> Tuple[bool, str, Optional[str]]: """ Export model in GGUF format. Args: save_directory: Local directory to save model - quantization_method: GGUF quantization method (e.g., "Q4_K_M") + quantization_method: A single GGUF quant method (e.g., "Q4_K_M") or a list of them + (e.g., ["Q4_K_M", "Q8_0"]). A list produces one GGUF per quant from a single + model load (unsloth save_to_gguf loops internally). push_to_hub: Whether to push to Hugging Face Hub repo_id: Hub repository ID hf_token: Hugging Face token @@ -594,28 +847,45 @@ def export_gguf( Returns: Tuple of (success: bool, message: str, output_path: Optional[str]) """ + if not _export_runtime_available(): + return False, _export_runtime_message(), None if not self.current_model or not self.current_tokenizer: return False, "No model loaded. Please select a checkpoint first.", None + # Only forward imatrix_file to an unsloth build that accepts it, else older builds raise + # an unexpected-keyword error even for a plain no-imatrix export. + if imatrix_file is not None and not _supports_kwarg( + self.current_model.save_pretrained_gguf, "imatrix_file" + ): + return ( + False, + "This Unsloth build does not support GGUF imatrix export. " + "Upgrade unsloth and unsloth_zoo, or disable the imatrix option.", + None, + ) + imatrix_kw = {"imatrix_file": imatrix_file} if imatrix_file is not None else {} + output_path: Optional[str] = None + model_tmp_to_cleanup: Optional[str] = None try: - # Convert quantization method to lowercase for unsloth - quant_method = quantization_method.lower() + # Normalize to a lowercased list so multiple quants come from one model load. + if isinstance(quantization_method, (list, tuple)): + quant_methods = [str(q).lower() for q in quantization_method if str(q).strip()] + else: + quant_methods = [str(quantization_method).lower()] + if not quant_methods: + quant_methods = ["q4_k_m"] + quant_method = quant_methods if len(quant_methods) > 1 else quant_methods[0] - # Pin convert_hf_to_gguf.py to the same llama.cpp ref as the - # llama-quantize binary (Studio installs at a tagged ref via - # setup.sh) so it can't drift past the pinned binary's gguf API. - # Set before both branches; hub-only export has save_directory == "". + # Pin convert_hf_to_gguf.py to setup.sh's tagged llama.cpp ref so it + # can't drift past the pinned llama-quantize binary's gguf API. global _LLAMA_CPP_SCRIPTS_WARNING_EMITTED try: from unsloth_zoo.llama_cpp import ( LLAMA_CPP_DEFAULT_DIR, _resolve_local_convert_script, # noqa: F401 ) - - os.environ.setdefault( - "UNSLOTH_LLAMA_CPP_SCRIPTS_DIR", LLAMA_CPP_DEFAULT_DIR - ) + os.environ.setdefault("UNSLOTH_LLAMA_CPP_SCRIPTS_DIR", LLAMA_CPP_DEFAULT_DIR) except ImportError: if not _LLAMA_CPP_SCRIPTS_WARNING_EMITTED: logger.warning( @@ -627,71 +897,62 @@ def export_gguf( ) _LLAMA_CPP_SCRIPTS_WARNING_EMITTED = True - # Save locally if requested if save_directory: - save_directory = str(resolve_export_dir(save_directory)) - # Resolve to absolute path so unsloth's relative-path internals - # (check_llama_cpp, use_local_gguf, _download_convert_hf_to_gguf) - # all resolve against the repo root cwd, NOT the export directory. + save_directory = str(resolve_export_write_dir(save_directory)) + # Keep unsloth relative-path internals anchored to the repo cwd. abs_save_dir = os.path.abspath(save_directory) logger.info(f"Saving GGUF model locally to: {abs_save_dir}") - # Create the directory if it doesn't exist ensure_dir(Path(abs_save_dir)) # On WSL, patch out sudo check before llama.cpp build _apply_wsl_sudo_patch() - # Snapshot existing .gguf files in cwd before conversion. - # unsloth's convert_to_gguf writes output files relative to - # cwd (repo root), so we diff afterwards and relocate them. + # convert_to_gguf writes output relative to cwd (repo root); + # snapshot existing .gguf so we can diff and relocate afterwards. cwd = os.getcwd() pre_existing_ggufs = set(glob.glob(os.path.join(cwd, "*.gguf"))) - # Pass absolute path — no os.chdir needed. - # unsloth saves intermediate HF model files into model_save_path. - # unsloth-zoo's check_llama_cpp() uses ~/.unsloth/llama.cpp by default. - model_save_path = os.path.join(abs_save_dir, "model") + pre_existing_subs = {d.name for d in Path(abs_save_dir).iterdir() if d.is_dir()} + + # Avoid clobbering an existing user-owned model/ directory. + import uuid + + _model_tmp = os.path.join(abs_save_dir, f"_tmp_model_{uuid.uuid4().hex[:8]}") + model_tmp_to_cleanup = _model_tmp self.current_model.save_pretrained_gguf( - model_save_path, + _model_tmp, self.current_tokenizer, quantization_method = quant_method, + **imatrix_kw, ) - # Relocate GGUF artifacts into the export directory. - # convert_to_gguf writes .gguf files to cwd (repo root) - # because --outfile is a relative path like "model.Q4_K_M.gguf". - new_ggufs = ( - set(glob.glob(os.path.join(cwd, "*.gguf"))) - pre_existing_ggufs - ) + # Relocate the .gguf that convert_to_gguf wrote to cwd (repo root). + new_ggufs = set(glob.glob(os.path.join(cwd, "*.gguf"))) - pre_existing_ggufs for src in sorted(new_ggufs): dest = os.path.join(abs_save_dir, os.path.basename(src)) shutil.move(src, dest) - logger.info( - f"Relocated GGUF: {os.path.basename(src)} → {abs_save_dir}/" - ) + logger.info(f"Relocated GGUF: {os.path.basename(src)} → {abs_save_dir}/") - # Flatten any .gguf files from subdirectories into abs_save_dir. - # save_pretrained_gguf may create subdirs (e.g. model_gguf/) - # with a name different from model_save_path. + # Flatten GGUF files from subdirs created during this export. for sub in list(Path(abs_save_dir).iterdir()): if not sub.is_dir(): continue + if sub.name in pre_existing_subs: + continue for src in sub.glob("*.gguf"): dest = os.path.join(abs_save_dir, src.name) shutil.move(str(src), dest) logger.info(f"Relocated GGUF: {src.name} → {abs_save_dir}/") - # Clean up the subdirectory (intermediate HF files, etc.) shutil.rmtree(str(sub), ignore_errors = True) logger.info(f"Cleaned up subdirectory: {sub.name}") - # For non-PEFT models, save_pretrained_gguf redirects to the - # checkpoint path, leaving a *_gguf directory in outputs/. - # Relocate any GGUFs from there and clean it up. + # For non-PEFT models, save_pretrained_gguf leaves a *_gguf dir at + # the checkpoint path; relocate its GGUFs and clean it up. if self.current_checkpoint: ckpt = Path(self.current_checkpoint) gguf_dir = ckpt.parent / f"{ckpt.name}_gguf" - if gguf_dir.is_dir(): + if gguf_dir.is_dir() and gguf_dir.resolve() != Path(abs_save_dir).resolve(): for src in gguf_dir.glob("*.gguf"): dest = os.path.join(abs_save_dir, src.name) shutil.move(str(src), dest) @@ -699,9 +960,7 @@ def export_gguf( # Also relocate Ollama Modelfile if present modelfile = gguf_dir / "Modelfile" if modelfile.is_file(): - shutil.move( - str(modelfile), os.path.join(abs_save_dir, "Modelfile") - ) + shutil.move(str(modelfile), os.path.join(abs_save_dir, "Modelfile")) logger.info(f"Relocated Modelfile → {abs_save_dir}/") shutil.rmtree(str(gguf_dir), ignore_errors = True) logger.info(f"Cleaned up intermediate GGUF dir: {gguf_dir}") @@ -709,8 +968,6 @@ def export_gguf( # Write export metadata so the Chat page can identify the base model self._write_export_metadata(abs_save_dir) - # Log final file locations (after relocation) so it's clear - # where the GGUF files actually ended up. final_ggufs = sorted(glob.glob(os.path.join(abs_save_dir, "*.gguf"))) logger.info( "GGUF export complete. Final files in %s:\n %s", @@ -719,7 +976,6 @@ def export_gguf( ) output_path = str(Path(abs_save_dir).resolve()) - # Push to hub if requested if push_to_hub: if not repo_id or not hf_token: return ( @@ -735,16 +991,19 @@ def export_gguf( self.current_tokenizer, quantization_method = quant_method, token = hf_token, + **imatrix_kw, ) logger.info(f"GGUF model pushed successfully to {repo_id}") return ( True, - f"GGUF model exported successfully ({quantization_method})", + f"GGUF model exported successfully ({', '.join(quant_methods)})", output_path, ) except Exception as e: + if model_tmp_to_cleanup: + shutil.rmtree(model_tmp_to_cleanup, ignore_errors = True) logger.error(f"Error exporting GGUF model: {e}") import traceback @@ -758,28 +1017,81 @@ def export_lora_adapter( repo_id: Optional[str] = None, hf_token: Optional[str] = None, private: bool = False, + gguf: bool = False, + gguf_outtype: str = "q8_0", ) -> Tuple[bool, str, Optional[str]]: """ Export LoRA adapter only (not merged). + Args: + gguf: If True, also convert the adapter to a GGUF LoRA file (llama.cpp + convert_lora_to_gguf.py), loadable with `llama-cli --lora ...`. + gguf_outtype: GGUF LoRA output float type; one of q8_0/f16/bf16/f32. + Returns: Tuple of (success: bool, message: str, output_path: Optional[str]) """ + if not _export_runtime_available(): + return False, _export_runtime_message(), None if not self.current_model or not self.current_tokenizer: return False, "No model loaded. Please select a checkpoint first.", None if not self.is_peft: return False, "This is not a PEFT model. No adapter to export.", None + _GGUF_LORA_OUTTYPES = ("q8_0", "f16", "bf16", "f32") + if gguf: + if _IS_MLX: + return ( + False, + "GGUF LoRA adapter export is not supported on macOS/MLX. " + "Use the safetensors adapter instead.", + None, + ) + outtype = str(gguf_outtype).lower() + if outtype not in _GGUF_LORA_OUTTYPES: + return ( + False, + f"Invalid GGUF LoRA outtype '{gguf_outtype}'. " + f"Choose one of {', '.join(_GGUF_LORA_OUTTYPES)}.", + None, + ) + # getattr so an older build without save_pretrained_gguf returns a clean message + # instead of an AttributeError (a generic 500). + _save_gguf_fn = getattr(self.current_model, "save_pretrained_gguf", None) + if _save_gguf_fn is None or not _supports_kwarg(_save_gguf_fn, "save_method"): + return ( + False, + "This Unsloth build does not support GGUF LoRA adapter export. " + "Upgrade unsloth and unsloth_zoo, or export the safetensors adapter.", + None, + ) + output_path: Optional[str] = None try: - # Save locally if requested if save_directory: - save_directory = str(resolve_export_dir(save_directory)) + save_directory = str(resolve_export_write_dir(save_directory)) logger.info(f"Saving LoRA adapter locally to: {save_directory}") ensure_dir(Path(save_directory)) - if _IS_MLX: + if gguf: + # Writes the adapter files plus "-lora-.gguf". + _apply_wsl_sudo_patch() + self.current_model.save_pretrained_gguf( + save_directory, + self.current_tokenizer, + save_method = "lora", + quantization_method = outtype, + # Forward the token so convert_lora_to_gguf.py can fetch a gated base's config. + token = hf_token or None, + ) + final_ggufs = sorted(glob.glob(os.path.join(save_directory, "*.gguf"))) + logger.info( + "LoRA GGUF export complete. Files in %s:\n %s", + save_directory, + "\n ".join(os.path.basename(f) for f in final_ggufs) or "(none)", + ) + elif _IS_MLX: # MLX: save adapters.safetensors + tokenizer files self.current_model.save_lora_adapters(save_directory) self.current_tokenizer.save_pretrained(save_directory) @@ -789,7 +1101,6 @@ def export_lora_adapter( logger.info(f"Adapter saved successfully to {save_directory}") output_path = str(Path(save_directory).resolve()) - # Push to hub if requested if push_to_hub: if not repo_id or not hf_token: return ( @@ -800,7 +1111,24 @@ def export_lora_adapter( logger.info(f"Pushing LoRA adapter to Hub: {repo_id}") - if _IS_MLX: + if gguf: + # Upload the locally-built GGUF folder; needs a local save_directory so the + # conversion is not re-run. + if not (output_path and Path(output_path).is_dir()): + return ( + False, + "GGUF LoRA Hub upload requires a local save directory; set one and " + "retry.", + None, + ) + hf_api = HfApi(token = hf_token) + hf_api.create_repo(repo_id, private = private, exist_ok = True) + hf_api.upload_folder( + folder_path = output_path, + repo_id = repo_id, + repo_type = "model", + ) + elif _IS_MLX: with tempfile.TemporaryDirectory() as tmp_dir: self.current_model.save_lora_adapters(tmp_dir) self.current_tokenizer.save_pretrained(tmp_dir) @@ -812,12 +1140,8 @@ def export_lora_adapter( repo_type = "model", ) else: - self.current_model.push_to_hub( - repo_id, token = hf_token, private = private - ) - self.current_tokenizer.push_to_hub( - repo_id, token = hf_token, private = private - ) + self.current_model.push_to_hub(repo_id, token = hf_token, private = private) + self.current_tokenizer.push_to_hub(repo_id, token = hf_token, private = private) logger.info(f"Adapter pushed successfully to {repo_id}") return True, "LoRA adapter exported successfully", output_path diff --git a/studio/backend/core/export/orchestrator.py b/studio/backend/core/export/orchestrator.py index 82de925592..6d1a928f2e 100644 --- a/studio/backend/core/export/orchestrator.py +++ b/studio/backend/core/export/orchestrator.py @@ -1,15 +1,13 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -""" -Export orchestrator — subprocess-based. +"""Export orchestrator — subprocess-based. -Provides the same API as ExportBackend, but delegates all ML work -to a persistent subprocess. The subprocess is spawned on first checkpoint -load and stays alive for subsequent export operations. +Same API as ExportBackend, but delegates all ML work to a persistent +subprocess spawned on first checkpoint load and reused for later exports. -When switching between checkpoints that need different transformers versions, -the old subprocess is killed and a new one is spawned with the correct version. +When switching between checkpoints needing different transformers +versions, the old subprocess is killed and a new one spawned. Pattern follows core/inference/orchestrator.py. """ @@ -30,9 +28,7 @@ _CTX = mp.get_context("spawn") -# Maximum number of captured log lines kept in memory per export -# orchestrator. Acts as scrollback for the live export log panel in the -# UI. 4000 lines is ~1 MB worst-case at 256 chars/line. +# Max log lines kept per orchestrator (live log panel scrollback); ~1 MB worst-case. _LOG_BUFFER_MAXLEN = 4000 @@ -41,47 +37,45 @@ class ExportOrchestrator: Export backend orchestrator — subprocess-based. Exposes the same API surface as ExportBackend so routes/export.py - needs minimal changes. Internally, all heavy ML operations happen in - a persistent subprocess. + needs minimal changes. All heavy ML work happens in a persistent + subprocess. """ def __init__(self): - # Subprocess state self._proc: Optional[mp.Process] = None self._cmd_queue: Any = None self._resp_queue: Any = None - # Serializes export operations (load_checkpoint, export_*, - # cleanup) so concurrent HTTP requests can never interleave - # commands on the subprocess queue. Previously unused. + # Serializes export ops so concurrent HTTP requests can't interleave commands. self._lock = threading.Lock() - # Local state mirrors (updated from subprocess responses) + # Local state mirrors (updated from subprocess responses). self.current_checkpoint: Optional[str] = None self.is_vision: bool = False self.is_peft: bool = False - # ── Live log capture ───────────────────────────────────── - # Thread-safe ring buffer of log lines forwarded from the - # worker subprocess. Powers the GET /api/export/logs/stream - # SSE endpoint that the export dialog consumes. + # Thread-safe ring buffer of worker log lines; powers the export logs SSE endpoint. self._log_buffer: Deque[Dict[str, Any]] = deque(maxlen = _LOG_BUFFER_MAXLEN) self._log_lock = threading.Lock() - # Monotonically increasing sequence number. Never reset across - # operations, so SSE clients can use it as a stable cursor even - # if clear_logs() is called mid-session. + # Monotonic seq, never reset, so SSE clients have a stable cursor across clear_logs(). self._log_seq: int = 0 - # Snapshot of _log_seq captured at the start of the current run - # (updated by clear_logs()). The SSE endpoint defaults its - # cursor to this value so a client that connects AFTER the - # worker has already emitted its first lines still sees the - # full run. Every line appended during the current run has seq - # strictly greater than _run_start_seq, and every line from - # prior runs has seq less than or equal to it. + # _log_seq snapshot at the current run's start; SSE defaults its cursor here so a + # late-connecting client still sees the full run. Current run has seq > this. self._run_start_seq: int = 0 - # True while an export operation (load/export/cleanup) is - # running. The SSE endpoint ends the stream 1 second after - # this flips back to False to drain any trailing log lines. + # True while an export op runs; SSE ends the stream 1s after this flips False. self._export_active: bool = False + # Set by cancel_export(); reset when a new load/export run starts. Lets the + # caller distinguish a user cancel from a genuine subprocess crash. + self._cancel_requested: bool = False + + # Last finished operation, so a client whose blocking POST was cut off by a + # Cloudflare tunnel timeout (524 at ~100s, while the op runs for minutes) can + # poll /api/export/status and still learn the real outcome. Guarded by + # _op_lock. `_op_seq` is a monotonic counter the client uses as a baseline to + # tell "my op finished" (seq grew) from a stale previous result. + self._op_lock = threading.Lock() + self._op_seq: int = 0 + self._active_op_kind: Optional[str] = None + self._last_op: Optional[Dict[str, Any]] = None atexit.register(self._cleanup) logger.info("ExportOrchestrator initialized (subprocess mode)") @@ -91,13 +85,7 @@ def __init__(self): # ------------------------------------------------------------------ def _append_log(self, entry: Dict[str, Any]) -> None: - """Append a log line from the worker subprocess to the buffer. - - Entries look like {"type": "log", "stream": "stdout"|"stderr", - "line": "...", "ts": ...}. Each is stamped with a monotonic - seq number before it lands in the buffer so SSE clients can - cursor through new lines. - """ + """Append a worker log line to the buffer, stamped with a monotonic seq.""" line = entry.get("line") if not line: return @@ -113,18 +101,10 @@ def _append_log(self, entry: Dict[str, Any]) -> None: ) def clear_logs(self) -> None: - """Drop any buffered log lines from a previous operation. - - Called at the start of each export op so the UI shows only the - output of the current run. The seq counter is NOT reset, so an - SSE client that captured the cursor before clear_logs() will - still see new lines (with strictly greater seq numbers). - - Also snapshots the current seq into ``_run_start_seq`` so the - SSE endpoint can anchor its default cursor at the start of - this run. Anything appended after this call has seq strictly - greater than the snapshot and is reachable via - ``get_logs_since(get_run_start_seq())``. + """Drop buffered log lines from a previous op so the UI shows only this run. + + The seq counter is NOT reset (clients keep a stable cursor); the current seq + is snapshotted into ``_run_start_seq`` to anchor the SSE default cursor. """ with self._log_lock: self._log_buffer.clear() @@ -144,12 +124,7 @@ def get_current_log_seq(self) -> int: return self._log_seq def get_run_start_seq(self) -> int: - """Return the seq value captured at the start of the current run. - - The SSE endpoint uses this as the default cursor so a client - that connects AFTER the worker has already started emitting - output still sees every line from the current run. - """ + """Return the seq captured at the current run's start (SSE default cursor).""" with self._log_lock: return self._run_start_seq @@ -157,12 +132,100 @@ def is_export_active(self) -> bool: """True while an export / load / cleanup command is running.""" return self._export_active + def is_worker_alive(self) -> bool: + """True while the persistent export subprocess is running (op or idle).""" + proc = self._proc + return proc is not None and proc.is_alive() + + def was_cancelled(self) -> bool: + """True if the in-flight (or most recent) run was cancelled by the user.""" + return self._cancel_requested + + def _record_op_finished(self, success: bool, message: str, output_path: Optional[str]) -> None: + """Snapshot the just-finished op so status pollers can recover its outcome. + + Called from each op's ``finally`` (with ``_active_op_kind`` still set) BEFORE + ``_export_active`` is cleared, so a status read that observes the op as + inactive is guaranteed to also see this matching result. + """ + with self._op_lock: + self._op_seq += 1 + status = "cancelled" if self._cancel_requested else ("success" if success else "error") + self._last_op = { + "seq": self._op_seq, + "kind": self._active_op_kind, + "status": status, + "output_path": output_path if success else None, + "error": None if success else (message or None), + } + + def get_last_op(self) -> Optional[Dict[str, Any]]: + """Return the last finished op record (or None), for status recovery.""" + with self._op_lock: + return dict(self._last_op) if self._last_op is not None else None + + def get_active_op_kind(self) -> Optional[str]: + """Return the kind of the currently running op (or None when idle).""" + return self._active_op_kind + + def cancel_export(self) -> bool: + """Terminate the in-flight export subprocess immediately. + + An export op holds ``self._lock`` for its whole duration (blocked in + ``_wait_response``), so we deliberately do NOT take the lock here -- we + kill the worker process directly, which unblocks that wait and makes the + in-flight op return a failure the caller surfaces as "cancelled". + + Only the export subprocess is touched; training and inference run in + their own subprocesses and are left untouched. + + Returns True if a live subprocess was terminated, False if none ran. + """ + self._cancel_requested = True + proc = self._proc + if proc is None or not proc.is_alive(): + return False + logger.info( + "Export cancel requested: terminating export subprocess (pid=%s)", + proc.pid, + ) + try: + proc.terminate() + proc.join(timeout = 5) + except Exception: + pass + if proc.is_alive(): + logger.warning("Export subprocess survived terminate, killing") + try: + proc.kill() + proc.join(timeout = 3) + except Exception: + pass + return True + # ------------------------------------------------------------------ # Subprocess lifecycle # ------------------------------------------------------------------ def _spawn_subprocess(self, config: dict) -> None: """Spawn a new export subprocess.""" + # Last-resort recheck for spawns outside an active op. Inside an op, _export_active is set and + # load_checkpoint already rechecked, so a reservation here is an install about to observe + # is_export_active() and abort; raising would kill this export for an install that never proceeds. + from utils.transformers_version import sidecar_swap_in_progress + + from utils.transformers_version import sidecar_swap_kind + + _swap_kind = sidecar_swap_kind() + # Inside an active op an INSTALL reservation is about to abort on the + # is_export_active check, but a lazy REPAIR has no such check and can be + # rebuilding the sidecar right now, so it must always refuse the spawn. + if _swap_kind == "repair" or (_swap_kind is not None and not self._export_active): + from utils.transformers_version import SidecarSwapInProgress + raise SidecarSwapInProgress( + "A transformers installation is replacing the latest sidecar; " + "retry when it completes." + ) from utils.native_path_leases import ( native_path_secret_removed_for_child_start, run_without_native_path_secret, @@ -185,30 +248,36 @@ def _spawn_subprocess(self, config: dict) -> None: daemon = True, ) self._proc.start() + from utils.process_lifetime import adopt_pid + + adopt_pid(self._proc.pid) # bind to parent lifetime (Windows job / sweep) logger.info("Export subprocess started (pid=%s)", self._proc.pid) - def _shutdown_subprocess(self, timeout: float = 10.0) -> None: - """Gracefully shut down the export subprocess.""" + def _shutdown_subprocess(self, timeout: float = 10.0) -> bool: + """Gracefully shut down the export subprocess. + + Returns True only once the worker is confirmed dead. If it survives + terminate/kill (e.g. wedged in an uninterruptible CUDA syscall that outlives + SIGKILL) the live handle is KEPT, not nulled, so is_worker_alive() and the + pre-swap liveness guard can still observe the survivor instead of a cleared + handle and refuse the destructive sidecar swap.""" if self._proc is None or not self._proc.is_alive(): self._proc = None - return + return True - # 1. Drain stale responses self._drain_queue() - # 2. Send shutdown command try: self._cmd_queue.put({"type": "shutdown"}) except (OSError, ValueError): pass - # 3. Wait for graceful shutdown try: self._proc.join(timeout = timeout) except Exception: pass - # 4. Force kill if still alive + # Force kill if still alive. if self._proc is not None and self._proc.is_alive(): logger.warning("Export subprocess did not exit gracefully, terminating") try: @@ -224,10 +293,20 @@ def _shutdown_subprocess(self, timeout: float = 10.0) -> None: except Exception: pass + if self._proc is not None and self._proc.is_alive(): + # Survived SIGKILL (uninterruptible syscall): keep the handle so callers + # and the pre-swap guard see a live worker rather than a nulled one. + logger.error( + "Export subprocess still alive after terminate/kill; " + "preserving its handle for the pre-swap liveness check" + ) + return False + self._proc = None self._cmd_queue = None self._resp_queue = None logger.info("Export subprocess shut down") + return True def _cleanup(self): """atexit handler.""" @@ -261,12 +340,15 @@ def _read_resp(self, timeout: float = 1.0) -> Optional[dict]: except (EOFError, OSError, ValueError): return None - def _wait_response(self, expected_type: str, timeout: float = 3600.0) -> dict: + def _wait_response( + self, + expected_type: str, + timeout: float = 3600.0, + ) -> dict: """Block until a response of the expected type arrives. - Export operations can take a very long time — GGUF conversion for - large models (30B+) easily takes 20-30 minutes. Default timeout - is 1 hour. + Export ops can take a long time — GGUF conversion for large + models (30B+) easily takes 20-30 minutes. Default timeout 1 hour. """ deadline = time.monotonic() + timeout @@ -275,7 +357,6 @@ def _wait_response(self, expected_type: str, timeout: float = 3600.0) -> dict: resp = self._read_resp(timeout = min(remaining, 2.0)) if resp is None: - # Check subprocess health if not self._ensure_subprocess_alive(): raise RuntimeError("Export subprocess crashed during wait") continue @@ -290,18 +371,16 @@ def _wait_response(self, expected_type: str, timeout: float = 3600.0) -> dict: raise RuntimeError(f"Subprocess error: {error_msg}") if rtype == "log": - # Forwarded stdout/stderr line from the worker process. + # Forwarded stdout/stderr line from the worker. self._append_log(resp) continue if rtype == "status": message = resp.get("message", "") - logger.info("Export subprocess status: %s", message) - # Surface status messages in the live log panel too so - # users see high level progress (e.g. "Importing - # Unsloth...", "Loading checkpoint: ...") alongside - # subprocess output. + # One structured export_progress line per phase (consolidated in the + # server log, like training/download progress); also shown live. if message: + logger.info("export_progress", phase = message) self._append_log( { "stream": "status", @@ -311,16 +390,14 @@ def _wait_response(self, expected_type: str, timeout: float = 3600.0) -> dict: ) continue - # Other response types during wait — skip + # Other response types during wait — skip. logger.debug( "Skipping response type '%s' while waiting for '%s'", rtype, expected_type, ) - raise RuntimeError( - f"Timeout waiting for '{expected_type}' response after {timeout}s" - ) + raise RuntimeError(f"Timeout waiting for '{expected_type}' response after {timeout}s") def _drain_queue(self) -> list: """Drain all pending responses.""" @@ -345,7 +422,9 @@ def load_checkpoint( max_seq_length: int = 2048, load_in_4bit: bool = True, trust_remote_code: bool = False, + approved_remote_code_fingerprint: Optional[str] = None, hf_token: Optional[str] = None, + subject: Optional[str] = None, ) -> Tuple[bool, str]: """Load a checkpoint for export. @@ -356,25 +435,57 @@ def load_checkpoint( "max_seq_length": max_seq_length, "load_in_4bit": load_in_4bit, "trust_remote_code": trust_remote_code, + "approved_remote_code_fingerprint": approved_remote_code_fingerprint, + "subject": subject, "hf_token": hf_token, } with self._lock: - # Start a fresh log buffer for this operation so the UI - # sees only the current run's output. + # Fresh log buffer so the UI sees only this run's output. self.clear_logs() + self._cancel_requested = False + self._active_op_kind = "load_checkpoint" self._export_active = True + op_success, op_message = False, "" try: - # Always kill existing subprocess and spawn fresh. + # Handshake with the sidecar install route: _export_active is set above, so either this + # recheck refuses BEFORE tearing down the old worker (keeping the loaded checkpoint), or + # the install sees is_export_active() and 409s. The spawn-time recheck stays as a last resort. + from utils.transformers_version import sidecar_swap_in_progress + + if sidecar_swap_in_progress(): + from utils.transformers_version import SidecarSwapInProgress + op_message = ( + "A transformers installation is replacing the latest " + "sidecar; retry when it completes." + ) + raise SidecarSwapInProgress(op_message) + # Always kill any existing subprocess and spawn fresh. if self._ensure_subprocess_alive(): - self._shutdown_subprocess() + if self._shutdown_subprocess() is False: + # Survivor still holds GPU memory (a wedged CUDA syscall outliving + # SIGKILL); its handle is kept so is_worker_alive() and the pre-swap + # guard still see it. Do not spawn a second worker over it -- fail so + # the load can retry once it exits. + op_message = ( + "The current export worker did not exit and still holds GPU " + "memory; not starting a new checkpoint load over it. Retry shortly." + ) + return False, op_message elif self._proc is not None: self._shutdown_subprocess(timeout = 2) - logger.info( - "Spawning fresh export subprocess for '%s'", checkpoint_path - ) - self._spawn_subprocess(sub_config) + logger.info("Spawning fresh export subprocess for '%s'", checkpoint_path) + try: + self._spawn_subprocess(sub_config) + except Exception: + # The old worker is already gone; a stale current_checkpoint + # would make the Export page claim a loaded checkpoint that + # the next op then fails on with "no subprocess running". + self.current_checkpoint = None + self.is_vision = False + self.is_peft = False + raise try: resp = self._wait_response("loaded") @@ -383,6 +494,7 @@ def load_checkpoint( self.current_checkpoint = None self.is_vision = False self.is_peft = False + op_success, op_message = False, str(exc) return False, str(exc) if resp.get("success"): @@ -390,15 +502,19 @@ def load_checkpoint( self.is_vision = resp.get("is_vision", False) self.is_peft = resp.get("is_peft", False) logger.info("Checkpoint '%s' loaded in subprocess", checkpoint_path) - return True, resp.get("message", "Loaded successfully") + op_success, op_message = True, resp.get("message", "Loaded successfully") + return True, op_message else: error = resp.get("message", "Failed to load checkpoint") logger.error("Failed to load checkpoint: %s", error) self.current_checkpoint = None self.is_vision = False self.is_peft = False + op_success, op_message = False, error return False, error finally: + self._record_op_finished(op_success, op_message, None) + self._active_op_kind = None self._export_active = False def export_merged_model( @@ -409,6 +525,7 @@ def export_merged_model( repo_id: Optional[str] = None, hf_token: Optional[str] = None, private: bool = False, + compressed_method: Optional[str] = None, ) -> Tuple[bool, str, Optional[str]]: """Export merged PEFT model.""" return self._run_export( @@ -420,6 +537,7 @@ def export_merged_model( "repo_id": repo_id, "hf_token": hf_token, "private": private, + "compressed_method": compressed_method, }, ) @@ -448,12 +566,13 @@ def export_base_model( def export_gguf( self, save_directory: str, - quantization_method: str = "Q4_K_M", + quantization_method = "Q4_K_M", push_to_hub: bool = False, repo_id: Optional[str] = None, hf_token: Optional[str] = None, + imatrix_file = None, ) -> Tuple[bool, str, Optional[str]]: - """Export model in GGUF format.""" + """Export model in GGUF format. `quantization_method` may be a single method or a list.""" return self._run_export( "gguf", { @@ -462,6 +581,7 @@ def export_gguf( "push_to_hub": push_to_hub, "repo_id": repo_id, "hf_token": hf_token, + "imatrix_file": imatrix_file, }, ) @@ -472,8 +592,10 @@ def export_lora_adapter( repo_id: Optional[str] = None, hf_token: Optional[str] = None, private: bool = False, + gguf: bool = False, + gguf_outtype: str = "q8_0", ) -> Tuple[bool, str, Optional[str]]: - """Export LoRA adapter only.""" + """Export LoRA adapter only (optionally also as a GGUF LoRA file).""" return self._run_export( "lora", { @@ -482,20 +604,16 @@ def export_lora_adapter( "repo_id": repo_id, "hf_token": hf_token, "private": private, + "gguf": gguf, + "gguf_outtype": gguf_outtype, }, ) - def _run_export( - self, export_type: str, params: dict - ) -> Tuple[bool, str, Optional[str]]: - """Send an export command to the subprocess and wait for result. - - Returns ``(success, message, output_path)``. ``output_path`` is the - resolved on-disk directory the worker actually wrote to (None when - the export only pushed to Hub or failed before any file was - written). Surfaced via the export route's ``details.output_path`` - so the dialog's success screen can show the user where the model - landed. + def _run_export(self, export_type: str, params: dict) -> Tuple[bool, str, Optional[str]]: + """Send an export command and wait for the result. + + Returns ``(success, message, output_path)``. ``output_path`` is the on-disk + dir the worker wrote to (None if it only pushed to Hub or failed pre-write). """ with self._lock: if not self._ensure_subprocess_alive(): @@ -506,36 +624,58 @@ def _run_export( ) self.clear_logs() + self._cancel_requested = False + self._active_op_kind = f"export_{export_type}" self._export_active = True + op_success, op_message, op_output_path = False, "", None try: + # Handshake with the sidecar install route (see load_checkpoint): _export_active is set + # above, so this recheck refuses before the command is sent, or the install sees the active + # op and 409s. Without it, an install would block in cleanup_memory behind a long export op. + from utils.transformers_version import sidecar_swap_in_progress + + if sidecar_swap_in_progress(): + from utils.transformers_version import SidecarSwapInProgress + op_message = ( + "A transformers installation is replacing the latest " + "sidecar; retry when it completes." + ) + raise SidecarSwapInProgress(op_message) cmd = {"type": "export", "export_type": export_type, **params} try: self._send_cmd(cmd) + # GGUF for 30B+ models can take 30+ min per quant; a multi-quant list runs them + # all in one op off a single merge, so scale the timeout by the quant count. + _qm = params.get("quantization_method") + _n = len(_qm) if isinstance(_qm, (list, tuple)) and _qm else 1 resp = self._wait_response( f"export_{export_type}_done", - timeout = 3600, # GGUF for 30B+ models can take 30+ min - ) - return ( - resp.get("success", False), - resp.get("message", ""), - resp.get("output_path"), + timeout = 3600 * max(1, _n), ) + op_success = resp.get("success", False) + op_message = resp.get("message", "") + op_output_path = resp.get("output_path") + return op_success, op_message, op_output_path except RuntimeError as exc: + op_success, op_message = False, str(exc) return False, str(exc), None finally: + self._record_op_finished(op_success, op_message, op_output_path) + self._active_op_kind = None self._export_active = False def cleanup_memory(self) -> bool: """Cleanup export-related models from memory.""" with self._lock: if not self._ensure_subprocess_alive(): - # No subprocess — just clear local state self.current_checkpoint = None self.is_vision = False self.is_peft = False return True + self._active_op_kind = "cleanup" self._export_active = True + success = False try: try: self._send_cmd({"type": "cleanup"}) @@ -544,7 +684,7 @@ def cleanup_memory(self) -> bool: except RuntimeError: success = False - # Shut down subprocess after cleanup — no model loaded + # Shut down subprocess after cleanup — no model loaded. self._shutdown_subprocess() self.current_checkpoint = None @@ -552,14 +692,13 @@ def cleanup_memory(self) -> bool: self.is_peft = False return success finally: + self._record_op_finished(success, "", None) + self._active_op_kind = None self._export_active = False - def scan_checkpoints( - self, outputs_dir: str = str(outputs_root()) - ) -> List[Tuple[str, list]]: - """Scan for checkpoints — no ML imports needed, runs locally.""" + def scan_checkpoints(self, outputs_dir: str = str(outputs_root())) -> List[Tuple[str, list]]: + """Scan for checkpoints — runs locally, no ML imports.""" from utils.models.checkpoints import scan_checkpoints - return scan_checkpoints(outputs_dir = outputs_dir) diff --git a/studio/backend/core/export/worker.py b/studio/backend/core/export/worker.py index f77b1966c4..9ecfa73eee 100644 --- a/studio/backend/core/export/worker.py +++ b/studio/backend/core/export/worker.py @@ -1,22 +1,19 @@ # SPDX-License-Identifier: AGPL-3.0-only # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 -""" -Export subprocess entry point. - -Each export session runs in a persistent subprocess (mp.get_context("spawn")). -This gives us a clean Python interpreter with no stale module state — -solving the transformers version-switching problem completely. +"""Export subprocess entry point. -The subprocess stays alive while a model is loaded, accepting commands -(load, export_merged, export_base, export_gguf, export_lora, cleanup, -shutdown) via mp.Queue. +Each export session runs in a persistent subprocess (mp spawn), giving a clean +interpreter with no stale module state, which solves transformers version +switching. The subprocess stays alive while a model is loaded, accepting commands +(load, export_*, cleanup, shutdown) via mp.Queue. Pattern follows core/inference/worker.py and core/training/worker.py. """ from __future__ import annotations +import contextlib import errno import structlog from loggers import get_logger @@ -31,42 +28,31 @@ logger = get_logger(__name__) -# Gate that controls whether captured stdout/stderr lines are forwarded -# to the parent's resp_queue (and from there to the export-dialog SSE -# stream). Closed by default so the noisy bootstrap phase -- transformers -# venv activation, Unsloth/torch imports, base-model resolution, "Top -# GGUF/hub models" lists, vision detection, weight loading bars -- is -# suppressed in the UI. _handle_export() opens the gate at the start of -# the actual export work and leaves it open; the orchestrator always -# spawns a fresh subprocess for the next checkpoint load (see -# orchestrator._spawn_subprocess) which resets this state. -# -# Lines dropped while the gate is closed are still echoed to the saved -# original stdout/stderr fds so the server console / log file keeps the -# full output for debugging. +# Gate controlling whether captured stdout/stderr lines are forwarded to the +# parent's resp_queue (and on to the export-dialog SSE stream). Closed by default +# so the noisy bootstrap phase (imports, model resolution, loading bars) is +# suppressed in the UI; _handle_export() opens it when export work starts. The +# orchestrator spawns a fresh subprocess per checkpoint load, resetting this. +# Dropped lines are still echoed to the saved fds so the server log keeps them. _log_forward_gate = threading.Event() def _setup_log_capture(resp_queue: Any) -> None: - """Redirect fds 1 and 2 through pipes so every line printed by this - worker process and any child process it spawns is forwarded to the - parent process via resp_queue as {"type": "log", ...} messages. - - Must be called BEFORE LogConfig.setup_logging and BEFORE any ML - imports, otherwise library handlers may capture the original stderr - reference and bypass the pipe. - - Lines are also echoed back to the original stdout/stderr so the - server console keeps receiving the full subprocess output, even - while ``_log_forward_gate`` is closed. + """Redirect fds 1 and 2 through pipes so every line printed by this worker + and any child it spawns is forwarded to the parent via resp_queue as + {"type": "log", ...} messages. + + Must run BEFORE LogConfig.setup_logging and any ML imports, else library + handlers may capture the original stderr reference and bypass the pipe. + Lines are also echoed back to the original fds so the server console keeps + the full output even while ``_log_forward_gate`` is closed. """ try: saved_out_fd = os.dup(1) saved_err_fd = os.dup(2) except OSError: - # dup failed (exotic platforms) - give up quietly, export still - # works, just no live log streaming. + # dup failed; give up quietly (export still works, no live streaming). return try: @@ -88,13 +74,11 @@ def _setup_log_capture(resp_queue: Any) -> None: pass return - # Close the write ends we just dup2'd (fds 1 and 2 are the real - # write ends now). + # Close the write ends we just dup2'd (fds 1 and 2 are the real write ends). os.close(w_out) os.close(w_err) - # Replace Python's sys.stdout/sys.stderr with line-buffered writers - # bound to the (now-redirected) fds 1 and 2. + # Replace sys.stdout/sys.stderr with line-buffered writers on fds 1 and 2. try: sys.stdout = os.fdopen(1, "w", buffering = 1, encoding = "utf-8", errors = "replace") sys.stderr = os.fdopen(2, "w", buffering = 1, encoding = "utf-8", errors = "replace") @@ -112,8 +96,7 @@ def _reader(read_fd: int, stream_name: str, echo_fd: int) -> None: continue if not chunk: break - # Echo to the original fd so the server console still sees - # the full output. + # Echo to the original fd so the server console keeps the full output. try: os.write(echo_fd, chunk) except OSError: @@ -133,9 +116,8 @@ def _reader(read_fd: int, stream_name: str, echo_fd: int) -> None: if not line: continue if not _log_forward_gate.is_set(): - # Gate closed (bootstrap phase) -- already echoed to - # the saved console fd above; drop the line so the - # export dialog doesn't see import / vendoring noise. + # Gate closed (bootstrap): already echoed above; drop the + # line so the export dialog skips import noise. continue try: resp_queue.put_nowait( @@ -147,8 +129,7 @@ def _reader(read_fd: int, stream_name: str, echo_fd: int) -> None: } ) except Exception: - # Queue put failed (full, closed, etc.) - drop the - # line rather than crash the reader thread. + # Queue put failed; drop the line rather than crash the thread. pass if buf and _log_forward_gate.is_set(): try: @@ -179,16 +160,67 @@ def _reader(read_fd: int, stream_name: str, echo_fd: int) -> None: t_err.start() -def _activate_transformers_version(model_name: str) -> None: +def _activate_transformers_version(model_name: str, hf_token: str | None = None) -> None: """Activate the correct transformers version BEFORE any ML imports.""" - # Ensure backend is on path for utils imports + # Ensure backend is on sys.path for utils imports. backend_path = str(Path(__file__).resolve().parent.parent.parent) if backend_path not in sys.path: sys.path.insert(0, backend_path) from utils.transformers_version import activate_transformers_for_subprocess - activate_transformers_for_subprocess(model_name) + activate_transformers_for_subprocess(model_name, hf_token) + + +@contextlib.contextmanager +def _offline_window_if_unreachable(step = "loading"): + """Force HF offline for a network-touching step (transformers version activation, or the + load preflights that hit the Hub) when the endpoint is unreachable, then restore the prior + env. Keeps a no-network export from hanging on Hub calls that run before load_checkpoint's + own probe, while letting this persistent worker re-decide per operation once back online. + + Post-ML-import (the load preflights), huggingface_hub has already read its in-process + offline constant and cached sessions, so env alone is too late: defer to the loader's + _force_hf_offline (env + in-process flags + session reset). Pre-import (activation), + huggingface_hub is not loaded yet, so setting the env vars suffices for its urllib probes.""" + saved: dict[str, str | None] = {} + force_ctx = None + try: + from utils.transformers_version import _env_offline, hf_endpoint_unreachable + probe_enabled = os.environ.get("UNSLOTH_OFFLINE_PROBE", "1").strip().lower() not in ( + "0", + "false", + "no", + "off", + ) + if not _env_offline() and probe_enabled and hf_endpoint_unreachable(): + logger.warning("Hugging Face endpoint unreachable; %s offline", step) + if "huggingface_hub" in sys.modules: + try: + from unsloth.models.loader_utils import _force_hf_offline + force_ctx = _force_hf_offline() + force_ctx.__enter__() # sets env + in-process flags + resets sessions + except Exception: + force_ctx = None + if force_ctx is None: + for k in ("HF_HUB_OFFLINE", "TRANSFORMERS_OFFLINE"): + saved[k] = os.environ.get(k) + os.environ[k] = "1" + except Exception: + pass + try: + yield + finally: + if force_ctx is not None: + try: + force_ctx.__exit__(None, None, None) + except Exception: + pass + for k, v in saved.items(): + if v is None: + os.environ.pop(k, None) + else: + os.environ[k] = v def _send_response(resp_queue: Any, response: dict) -> None: @@ -204,14 +236,31 @@ def _handle_load(backend, cmd: dict, resp_queue: Any) -> None: checkpoint_path = cmd["checkpoint_path"] max_seq_length = cmd.get("max_seq_length", 2048) load_in_4bit = cmd.get("load_in_4bit", True) + # Latest-sidecar checkpoints load 16-bit here too: bnb 4-bit feeds quantized + # expert weights into unvalidated paths (same flip as the chat worker). + if load_in_4bit: + from utils.transformers_version import latest_tier_active_for + if latest_tier_active_for(checkpoint_path, cmd.get("hf_token")): + load_in_4bit = False + logger.info( + "Latest-transformers sidecar active for %s - forcing a 16-bit " + "export load (4-bit is disabled for brand-new architectures)", + checkpoint_path, + ) trust_remote_code = cmd.get("trust_remote_code", False) # Auto-enable trust_remote_code for NemotronH/Nano models. if not trust_remote_code: + from utils.security.trusted_org import is_trusted_org_repo + _NEMOTRON_TRUST_SUBSTRINGS = ("nemotron_h", "nemotron-h", "nemotron-3-nano") _cp_lower = checkpoint_path.lower() - if any(sub in _cp_lower for sub in _NEMOTRON_TRUST_SUBSTRINGS) and ( - _cp_lower.startswith("unsloth/") or _cp_lower.startswith("nvidia/") + if ( + any(sub in _cp_lower for sub in _NEMOTRON_TRUST_SUBSTRINGS) + and (_cp_lower.startswith("unsloth/") or _cp_lower.startswith("nvidia/")) + # Genuine first-party Hub repo only (not a local/spoof name starting + # with "unsloth/"); authenticated so private repos resolve. + and is_trusted_org_repo(checkpoint_path, hf_token = cmd.get("hf_token")) ): trust_remote_code = True logger.info( @@ -219,6 +268,82 @@ def _handle_load(backend, cmd: dict, resp_queue: Any) -> None: checkpoint_path, ) + # Malware gate: a poisoned pickle deserializes on load even with + # trust_remote_code False, so check HF's security scan (metadata-only) every + # load. Local checkpoints have no Hub scan and are skipped in the helper; a + # LoRA merges its base weights, so gate that repo too. + from utils.security import evaluate_file_security, security_load_subdirs + + malware_targets = [checkpoint_path] + try: + from utils.models.model_config import get_base_model_from_lora_identifier + + # Resolve a LOCAL or REMOTE adapter's base so a remote LoRA base is gated too. + _base = get_base_model_from_lora_identifier(checkpoint_path, cmd.get("hf_token")) + if _base: + malware_targets.append(_base) + except Exception as exc: + logger.debug("Could not resolve LoRA base for malware scan: %s", exc) + _hf_token = cmd.get("hf_token") + for target in dict.fromkeys(malware_targets): + _fs = evaluate_file_security( + target, hf_token = _hf_token, load_subdirs = security_load_subdirs(target, _hf_token) + ) + if _fs.blocked: + _send_response( + resp_queue, + { + "type": "loaded", + "success": False, + "message": _fs.reason, + "error_kind": "malware_blocked", + "security": _fs.response_payload(), + "ts": time.time(), + }, + ) + return + + # Consent gate: scan auto_map code before it runs; block CRITICAL/HIGH unless + # pinned-approved. A LoRA merges its base model, whose code runs, so gate it too. + if trust_remote_code: + from utils.security import evaluate_remote_code_consent_for_targets + + consent_targets = [checkpoint_path] + try: + from utils.models.model_config import get_base_model_from_lora_identifier + + # Resolve a local or remote adapter's base so its base repo is gated too. + base_model = get_base_model_from_lora_identifier(checkpoint_path, cmd.get("hf_token")) + if base_model: + consent_targets.append(base_model) + except Exception as exc: + logger.debug("Could not resolve LoRA base for consent scan: %s", exc) + # Scan adapter + base as one combined unit, pinned by a single fingerprint. + _rc = evaluate_remote_code_consent_for_targets( + consent_targets, + hf_token = cmd.get("hf_token"), + trust_remote_code = True, + approved_fingerprint = cmd.get("approved_remote_code_fingerprint"), + subject = cmd.get("subject"), + ) + if _rc.blocked: + _send_response( + resp_queue, + { + "type": "loaded", + "success": False, + "message": ( + f"Checkpoint '{_rc.model_name}' ships custom code flagged as " + f"{_rc.max_severity} by the security scan. Review and " + f"approve it to proceed." + ), + "error_kind": "remote_code_blocked", + "remote_code": _rc.response_payload(), + "ts": time.time(), + }, + ) + return + try: _send_response( resp_queue, @@ -234,6 +359,7 @@ def _handle_load(backend, cmd: dict, resp_queue: Any) -> None: max_seq_length = max_seq_length, load_in_4bit = load_in_4bit, trust_remote_code = trust_remote_code, + hf_token = cmd.get("hf_token"), ) _send_response( @@ -267,13 +393,24 @@ def _handle_export(backend, cmd: dict, resp_queue: Any) -> None: export_type = cmd["export_type"] # "merged", "base", "gguf", "lora" response_type = f"export_{export_type}_done" - # Open the log forwarding gate so the user sees the actual export - # progress (Unsloth merge bars, file copies, GGUF conversion, etc.) - # in the live log panel. The gate stays open for the rest of this - # subprocess's life; the orchestrator spawns a fresh subprocess for - # the next checkpoint load, which resets the gate to closed. + # Open the log forwarding gate so the user sees export progress in the live + # log panel. Stays open for the rest of this subprocess's life; the + # orchestrator spawns a fresh subprocess per checkpoint load, resetting it. _log_forward_gate.set() + # Phase milestone so the heavy export step shows in the server log; the + # merge/save/convert itself only forwards stdout to the live panel. + _phase = { + "merged": f"Exporting merged model ({cmd.get('format_type', '16-bit (FP16)')})...", + "gguf": f"Exporting GGUF ({cmd.get('quantization_method', 'Q4_K_M')})...", + "lora": "Exporting LoRA adapter...", + "base": "Exporting base model...", + }.get(export_type, f"Exporting ({export_type})...") + _send_response( + resp_queue, + {"type": "status", "message": _phase, "ts": time.time()}, + ) + output_path: Any = None try: if export_type == "merged": @@ -284,6 +421,7 @@ def _handle_export(backend, cmd: dict, resp_queue: Any) -> None: repo_id = cmd.get("repo_id"), hf_token = cmd.get("hf_token"), private = cmd.get("private", False), + compressed_method = cmd.get("compressed_method"), ) elif export_type == "base": success, message, output_path = backend.export_base_model( @@ -301,6 +439,7 @@ def _handle_export(backend, cmd: dict, resp_queue: Any) -> None: push_to_hub = cmd.get("push_to_hub", False), repo_id = cmd.get("repo_id"), hf_token = cmd.get("hf_token"), + imatrix_file = cmd.get("imatrix_file"), ) elif export_type == "lora": success, message, output_path = backend.export_lora_adapter( @@ -309,6 +448,8 @@ def _handle_export(backend, cmd: dict, resp_queue: Any) -> None: repo_id = cmd.get("repo_id"), hf_token = cmd.get("hf_token"), private = cmd.get("private", False), + gguf = cmd.get("gguf", False), + gguf_outtype = cmd.get("gguf_outtype", "q8_0"), ) else: success, message = False, f"Unknown export type: {export_type}" @@ -362,12 +503,7 @@ def _handle_cleanup(backend, resp_queue: Any) -> None: ) -def run_export_process( - *, - cmd_queue: Any, - resp_queue: Any, - config: dict, -) -> None: +def run_export_process(*, cmd_queue: Any, resp_queue: Any, config: dict) -> None: """Subprocess entrypoint. Persistent — runs command loop until shutdown. Args: @@ -377,25 +513,16 @@ def run_export_process( """ import queue as _queue - # Install fd-level stdout/stderr capture FIRST so every subsequent - # print and every child process inherits the redirected fds. This - # is what powers the live export log stream in the UI. + # Install fd-level stdout/stderr capture FIRST so every subsequent print and + # every child process inherits the redirected fds (powers the live log stream). _setup_log_capture(resp_queue) os.environ["TOKENIZERS_PARALLELISM"] = "false" - os.environ["PYTHONWARNINGS"] = ( - "ignore" # Suppress warnings at C-level before imports - ) - # Force unbuffered output from any child Python process (e.g. the - # GGUF converter) so their prints surface in the log stream as they - # happen rather than at the end. + os.environ["PYTHONWARNINGS"] = "ignore" # suppress C-level warnings before imports + # Unbuffered output from child Python (e.g. GGUF converter) so prints surface live. os.environ["PYTHONUNBUFFERED"] = "1" - # tqdm defaults to a 10-second mininterval when stdout is not a tty - # (which it isn't here -- we redirected fd 1/2 to a pipe). That makes - # multi-step progress bars look frozen in the export log panel. Force - # frequent flushes so the user sees movement during merge / GGUF - # conversion. Has no effect on single-step bars (e.g. "Copying 1 - # files") which only emit start/end events regardless. + # tqdm defaults to a 10s mininterval when stdout isn't a tty (we redirected + # fd 1/2 to a pipe), making multi-step bars look frozen; force frequent flushes. os.environ.setdefault("TQDM_MININTERVAL", "0.5") import warnings @@ -412,25 +539,25 @@ def run_export_process( checkpoint_path = config["checkpoint_path"] # ── 1. Activate correct transformers version BEFORE any ML imports ── - try: - _activate_transformers_version(checkpoint_path) - except Exception as exc: - _send_response( - resp_queue, - { - "type": "error", - "error": f"Failed to activate transformers version: {exc}", - "stack": traceback.format_exc(limit = 20), - "ts": time.time(), - }, - ) - return + with _offline_window_if_unreachable(step = "activating transformers"): + try: + _activate_transformers_version(checkpoint_path, config.get("hf_token") or None) + except Exception as exc: + _send_response( + resp_queue, + { + "type": "error", + "error": f"Failed to activate transformers version: {exc}", + "stack": traceback.format_exc(limit = 20), + "ts": time.time(), + }, + ) + return - # ── 1b. On Windows, check Triton availability (must be before import torch) ── + # ── 1b. Check Triton on Windows (must precede import torch) ── if sys.platform == "win32": try: import triton # noqa: F401 - logger.info("Triton available — torch.compile enabled") except ImportError: os.environ["TORCHDYNAMO_DISABLE"] = "1" @@ -439,6 +566,13 @@ def run_export_process( 'Install for better performance: pip install "triton-windows<3.7"' ) + # ── 1c. Stub torchao on Windows ROCm ── + # See core/_torchao_stub.py: torchao crashes on Windows ROCm (RCCL absent). + # No-op off Windows ROCm. Must run before importing transformers / unsloth_zoo. + from core._torchao_stub import install_torchao_windows_rocm_stub + + install_torchao_windows_rocm_stub() + # ── 2. Import ML libraries (fresh in this clean process) ── try: _send_response( @@ -454,13 +588,16 @@ def run_export_process( if backend_path not in sys.path: sys.path.insert(0, backend_path) + # Recover from any namespace-package shadow before importing Unsloth. + from core.import_guards import ensure_real_packages + + ensure_real_packages("unsloth_zoo", "unsloth") + from core.export.export import ExportBackend import transformers - logger.info( - "Export subprocess loaded transformers %s", transformers.__version__ - ) + logger.info("Export subprocess loaded transformers %s", transformers.__version__) except Exception as exc: _send_response( @@ -478,7 +615,10 @@ def run_export_process( try: backend = ExportBackend() - _handle_load(backend, config, resp_queue) + # Offline window covers the load preflights (malware/consent scans hit the Hub) + # before load_checkpoint runs its own probe; restored after so later loads re-decide. + with _offline_window_if_unreachable(): + _handle_load(backend, config, resp_queue) except Exception as exc: _send_response( @@ -512,9 +652,11 @@ def run_export_process( try: if cmd_type == "load": - # Load a new checkpoint (reusing this subprocess) + # Load a new checkpoint, reusing this subprocess. backend.cleanup_memory() - _handle_load(backend, cmd, resp_queue) + # Offline window also covers this load's Hub preflights (re-probed per load). + with _offline_window_if_unreachable(): + _handle_load(backend, cmd, resp_queue) elif cmd_type == "export": _handle_export(backend, cmd, resp_queue) @@ -561,9 +703,7 @@ def run_export_process( ) except Exception as exc: - logger.error( - "Error handling command '%s': %s", cmd_type, exc, exc_info = True - ) + logger.error("Error handling command '%s': %s", cmd_type, exc, exc_info = True) _send_response( resp_queue, { diff --git a/studio/backend/core/import_guards.py b/studio/backend/core/import_guards.py new file mode 100644 index 0000000000..5b85a96cd2 --- /dev/null +++ b/studio/backend/core/import_guards.py @@ -0,0 +1,53 @@ +# SPDX-License-Identifier: AGPL-3.0-only +# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 + +"""Recover `unsloth`/`unsloth_zoo` from a namespace-package shadow. Stdlib-only.""" + +from __future__ import annotations + +import os +import sys + + +def ensure_real_packages(*names: str) -> None: + """Drop sys.path entries where a bare `/` dir (no __init__.py) shadows + the installed package as a namespace, import the real packages, restore + sys.path. No-op without a shadow. Pass dependency-first (e.g. "unsloth_zoo", + "unsloth"); imports run dependency-last.""" + import importlib + import importlib.util + + bad: set = set() + shadowed: list = [] + for name in names: + try: + spec = importlib.util.find_spec(name) + except (ImportError, ValueError, AttributeError): + spec = None + # real package -> spec.origin is its __init__; namespace shadow -> None/"namespace" + if spec is None or spec.origin not in (None, "namespace"): + continue + dirs = {os.path.realpath(d) for d in (spec.submodule_search_locations or [])} + if not dirs: + continue + shadowed.append(name) + for entry in sys.path: + pkg = os.path.join(entry or os.getcwd(), name) + if os.path.realpath(pkg) in dirs and not os.path.isfile( + os.path.join(pkg, "__init__.py") + ): + bad.add(entry) + if not bad: + return + saved = list(sys.path) + sys.path[:] = [e for e in sys.path if e not in bad] + for name in shadowed: + for cached in [m for m in list(sys.modules) if m == name or m.startswith(name + ".")]: + del sys.modules[cached] + try: + importlib.invalidate_caches() + # import unsloth before unsloth_zoo: unsloth.__init__ runs GPU/bnb fixes zoo relies on + for name in reversed(names): + importlib.import_module(name) + finally: + sys.path[:] = saved diff --git a/studio/backend/core/inference/__init__.py b/studio/backend/core/inference/__init__.py index 35318f6357..1491dfa749 100644 --- a/studio/backend/core/inference/__init__.py +++ b/studio/backend/core/inference/__init__.py @@ -2,18 +2,21 @@ # Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0 """ -Inference submodule - Inference backend for model loading and generation +Inference submodule - backend for model loading and generation. The default get_inference_backend() returns an InferenceOrchestrator that -delegates to a subprocess. The original InferenceBackend runs inside -the subprocess and can be imported directly from .inference when needed. -""" +delegates to a subprocess. The original InferenceBackend runs inside the +subprocess and can be imported directly from .inference when needed. -from .orchestrator import InferenceOrchestrator, get_inference_backend -from .llama_cpp import LlamaCppBackend +Public names are resolved lazily (PEP 562): importing this package -- or a +dependency-light leaf like ``core.inference.chat_eos`` -- must NOT eagerly pull +the orchestrator / llama_cpp import chain (httpx, subprocess plumbing, the ML +backend and its Unsloth dependencies). Those load only when a public name is +actually accessed, so standalone helpers stay unit-testable without the full +inference stack. +""" -# Expose InferenceOrchestrator as InferenceBackend for backward compat -InferenceBackend = InferenceOrchestrator +from typing import TYPE_CHECKING __all__ = [ "InferenceBackend", @@ -21,3 +24,33 @@ "get_inference_backend", "LlamaCppBackend", ] + +# name -> (submodule, attribute); InferenceBackend aliases InferenceOrchestrator. +_LAZY_ATTRS = { + "InferenceOrchestrator": ("orchestrator", "InferenceOrchestrator"), + "InferenceBackend": ("orchestrator", "InferenceOrchestrator"), + "get_inference_backend": ("orchestrator", "get_inference_backend"), + "LlamaCppBackend": ("llama_cpp", "LlamaCppBackend"), +} + + +def __getattr__(name): + try: + submodule, attr = _LAZY_ATTRS[name] + except KeyError: + raise AttributeError(f"module {__name__!r} has no attribute {name!r}") from None + from importlib import import_module + + value = getattr(import_module(f"{__name__}.{submodule}"), attr) + globals()[name] = value # cache so later access skips __getattr__ + return value + + +def __dir__(): + return sorted(set(globals()) | set(__all__)) + + +if TYPE_CHECKING: # keep static analysers / IDEs aware of the lazy names + from .llama_cpp import LlamaCppBackend + from .orchestrator import InferenceOrchestrator, get_inference_backend + InferenceBackend = InferenceOrchestrator diff --git a/studio/backend/core/inference/_html_to_md.py b/studio/backend/core/inference/_html_to_md.py index f999120ffb..92471b9866 100644 --- a/studio/backend/core/inference/_html_to_md.py +++ b/studio/backend/core/inference/_html_to_md.py @@ -5,8 +5,13 @@ Minimal HTML-to-Markdown converter using only the standard library. Replaces the external ``html2text`` (GPL-3.0) dependency with a ~250-line -``html.parser.HTMLParser`` subclass. Covers headings, links, bold/italic, +``html.parser.HTMLParser`` subclass. Covers headings, links, bold/italic, lists, tables, blockquotes, code blocks, and entity decoding. + +``main_content=True`` also applies a readability-style heuristic: scope +conversion to the page's ``
`` (else ``
``) subtree when it +carries substantial text, and strip known boilerplate fragments (skip-links, +error placeholders, session banners, cookie prompts) from the result. """ from __future__ import annotations @@ -27,8 +32,138 @@ "math", "nav", "footer", + # Never-rendered / form-chrome elements, not page content. + "template", + "dialog", + "button", + "select", + "datalist", + } +) +#