unsloth/unsloth_cli/commands/studio.py
Daniel Han 9a261aec5f
Studio: Expose openai and anthropic compatible external API end points (#4956)
* Studio: add API key authentication for programmatic access

External users want to hit the Studio API (chat completions with tool
calling, training, export, etc.) without going through the browser
login flow. This adds sk-unsloth- prefixed API keys that work as a
drop-in replacement for JWTs in the Authorization: Bearer header.

Backend:
- New api_keys table in SQLite (storage.py)
- create/list/revoke/validate functions with SHA-256 hashed storage
- API key detection in _get_current_subject before the JWT path
- POST/GET/DELETE /api/auth/api-keys endpoints on the auth router

Frontend:
- /api-keys page with create form, one-time key reveal, keys table
- API Keys link in desktop and mobile navbar
- Route registered with requireAuth guard

Zero changes to any existing route handler -- every endpoint that uses
Depends(get_current_subject) automatically works with API keys.

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

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

* Use actual origin in API key usage examples

The examples on /api-keys were hardcoded to localhost:8888 which is
wrong for remote users. Use window.location.origin so the examples
show the correct URL regardless of where the user is connecting from.

* Add `unsloth studio run` CLI command for one-liner model serving

Adds a `run` subcommand that starts Studio, loads a model, creates an
API key, and prints a ready-to-use curl command -- similar to
`ollama run` or `vllm serve`.

Usage: unsloth studio run -m unsloth/Qwen3-1.7B-GGUF --gguf-variant UD-Q4_K_XL

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

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

* Add end-to-end tests for `unsloth studio run` and API key usage

Tests the 4 usage examples from the API Keys page:
1. curl basic (non-streaming) chat completions
2. curl streaming (SSE) chat completions
3. OpenAI Python SDK streaming completions
4. curl with tools (web_search + python)

Also tests --help output, invalid key rejection, and no-key rejection.
All 7 tests pass against Qwen3-1.7B-GGUF.

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

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

* Add /v1/completions, /v1/embeddings, /v1/responses endpoints and --parallel support

- llama_cpp.py: accept n_parallel param, pass to llama-server --parallel
- run.py: plumb llama_parallel_slots through to app.state
- inference.py: add /completions and /embeddings as transparent proxies to
  llama-server, add /responses as application-level endpoint that converts
  to ChatCompletionRequest; thread n_parallel through load_model
- studio.py: set llama_parallel_slots=4 for `unsloth studio run` path

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

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

* Make /v1/responses endpoint match OpenAI Responses API format

The existing /v1/responses shim returned Chat Completions format, which
broke OpenAI SDK clients using openai.responses.create(). This commit
replaces the endpoint with a proper implementation that:

- Returns `output` array with `output_text` content parts instead of
  `choices` with `message`
- Uses `input_tokens`/`output_tokens` instead of `prompt_tokens`/
  `completion_tokens` in usage
- Sets `object: "response"` and `id: "resp_..."`
- Emits named SSE events for streaming (response.created,
  response.output_text.delta, response.completed, etc.)
- Accepts all OpenAI Responses API fields (tools, store, metadata,
  previous_response_id) without erroring -- silently ignored
- Maps `developer` role to `system` and `input_text`/`input_image`
  content parts to the internal Chat format

Adds Pydantic schemas for request/response models and 23 unit tests
covering schema validation, input normalisation, and response format.

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

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

* Studio: add Anthropic-compatible /v1/messages endpoint (#4981)

* Add Anthropic-compatible /v1/messages endpoint with tool support

Translate Anthropic Messages API format to/from internal OpenAI format
and reuse the existing server-side agentic tool loop. Supports streaming
SSE (message_start, content_block_delta, etc.) and non-streaming JSON.
Includes offline unit tests and e2e tests in test_studio_run.py.

* Add enable_tools, enabled_tools, session_id to /v1/messages endpoint

Support the same shorthand as /v1/chat/completions: enable_tools=true
with an optional enabled_tools list uses built-in server tools without
requiring full Anthropic tool definitions. session_id is passed through
for sandbox isolation. max_tokens is now optional.

* Strip leaked tool-call XML from Anthropic endpoint content

Apply _TOOL_XML_RE to content events in both streaming and
non-streaming tool paths, matching the OpenAI endpoint behavior.

* Emit custom tool_result SSE event in Anthropic stream

Adds a non-standard tool_result event between the tool_use block close
and the next text block, so clients can see server-side tool execution
results. Anthropic SDKs ignore unknown event types.

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

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

* Split /v1/messages into server-side and client-side tool paths

enable_tools=true runs the existing server-side agentic loop with
built-in tools (web_search/python/terminal). A bare tools=[...] field
now triggers a client-side pass-through: client-provided tools are
forwarded to llama-server and any tool_use output is returned to the
caller with stop_reason=tool_use for client execution.

This fixes Claude Code (and any Anthropic SDK client) which sends
tools=[...] expecting client-side execution but was previously routed
through execute_tool() and failing with 'Unknown tool'.

Adds AnthropicPassthroughEmitter to convert llama-server OpenAI SSE
chunks into Anthropic SSE events, plus unit tests covering text
blocks, tool_use blocks, mixed, stop reasons, and usage.

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

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

* Fix httpcore GeneratorExit in /v1/messages passthrough stream

Explicitly aclose aiter_lines() before the surrounding async with
blocks unwind, mirroring the prior fix in external_provider.py
(a41160d3) and cc757b78's RuntimeError suppression.

* Wire stop_sequences through /v1/messages; warn on tool_choice

Plumb payload.stop_sequences to all three code paths (server-side
tool loop, no-tool plain, client-side passthrough) so Anthropic SDK
clients setting stop_sequences get the behavior they expect. The
llama_cpp backend already accepted `stop` on both generate_chat_
completion and generate_chat_completion_with_tools; the Anthropic
handler simply wasn't passing it.

tool_choice remains declared on the request model for Anthropic SDK
compatibility (the SDK often sets it by default) but is not yet
honored. Log a structured warning on each request carrying a non-
null tool_choice so the silent drop is visible to operators.

* Wire min_p / repetition_penalty / presence_penalty through /v1/messages

Align the Anthropic endpoint's sampling surface with /v1/chat/completions.
Adds the three fields as x-unsloth extensions on AnthropicMessagesRequest
and threads them through all three code paths: server-side tool loop,
no-tool plain, and client-side passthrough.

The passthrough builder emits "repeat_penalty" (not "repetition_penalty")
because that is llama-server's field name; the backend methods already
apply the same rename internally.

* Fix block ordering and prev_text reset in non-streaming tool path

_anthropic_tool_non_streaming was building the response by appending
all tool_use blocks first, then a single concatenated text block at
the end — losing generation order and merging pre-tool and post-tool
text into one block. It also never reset prev_text between synthesis
turns, so the first N characters of each post-tool turn were dropped
(where N = length of the prior turn's final cumulative text).

Rewrite to build content_blocks incrementally in generation order,
matching the streaming emitter's behavior: deltas within a turn are
merged into the trailing text block, tool_use blocks interrupt the
text sequence, and prev_text is reset on tool_end so turn N+1 diffs
against an empty baseline.

Caught by gemini-code-assist[bot] review on #4981.

* Make test_studio_run.py e2e tests pytest-compatible

Add a hybrid session-scoped studio_server fixture in conftest.py that
feeds base_url / api_key into the existing e2e test functions. Three
invocation modes are now supported:

1. Script mode (unchanged) — python tests/test_studio_run.py
2. Pytest + external server — point at a running instance via
   UNSLOTH_E2E_BASE_URL / UNSLOTH_E2E_API_KEY env vars, no per-run
   GGUF load cost
3. Pytest + fixture-managed server — pytest drives _start_server /
   _kill_server itself via --unsloth-model / --unsloth-gguf-variant,
   CI-friendly

The existing _start_server / _kill_server helpers and main() stay
untouched so the script entry point keeps working exactly as before.
Test function signatures are unchanged — the (base_url, api_key)
parameters now resolve via the new fixtures when running under
pytest.

* Rename test_studio_run.py -> test_studio_api.py

The file is entirely about HTTP API endpoint testing (OpenAI-compatible
/v1/chat/completions, Anthropic-compatible /v1/messages, API key auth,
plus a CLI --help sanity check on the command that runs the API). None
of its tests cover training, export, chat-UI, or internal-Python-API
concerns.

The old name misleadingly suggested "tests for the unsloth studio run
CLI subcommand" — the new name reflects the actual scope.

Updates:
- git mv the file (rename tracked, history preserved)
- Rewrite opening docstring to state the API surface focus and call
  out what is explicitly out of scope
- Update all 4 Usage-block path references to the new filename
- LOG_FILE renamed to test_studio_api.log
- conftest.py fixture import rewritten from test_studio_run to
  test_studio_api, plus 7 docstring/comment references updated

No functional changes to test logic, signatures, or main().

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Fix httpcore asyncgen cleanup in /v1/messages and /v1/completions

The earlier fix in 985e92a9 was incomplete: it closed aiter_lines()
explicitly but still used `async with httpx.AsyncClient()` /
`async with client.stream()` inside the generator. When the generator
is orphaned (e.g. client disconnects mid-stream and Starlette drops
the StreamingResponse iterator without explicitly calling aclose()),
Python's asyncgen finalizer runs the cleanup in a DIFFERENT task than
the one that originally entered the httpx context managers. The
`async with` exits then trigger httpcore's HTTP11ConnectionByteStream
.aclose(), which enters anyio.CancelScope.__exit__ with a mismatched
task and raises RuntimeError("Attempted to exit cancel scope in a
different task"). That error escapes any user-owned try/except
because it happens during GC finalization.

Replace `async with` with manual client/response lifecycle in both
/v1/messages passthrough and /v1/completions proxy. Close the
response and client in a finally block wrapped in
`try: ... except Exception: pass`. This suppresses RuntimeError (and
other Exception subclasses) from the anyio cleanup noise while
letting GeneratorExit (a BaseException, not Exception) propagate
cleanly so the generator terminates as Python expects.

Traceback observed in user report:
  File ".../httpcore/_async/connection_pool.py", line 404, in __aiter__
      yield part
  RuntimeError: async generator ignored GeneratorExit
...
  File ".../anyio/_backends/_asyncio.py", line 455, in __exit__
      raise RuntimeError(
  RuntimeError: Attempted to exit cancel scope in a different task

* Expand unsloth studio run banner with SDK base URL and more curl examples

Add an explicit "OpenAI / Anthropic SDK base URL" line inside the info
box so SDK users don't accidentally copy the bare server URL (without
/v1) into their OpenAI/Anthropic SDK constructors and hit 404s.

Replace the single /v1/chat/completions curl example with three
labeled blocks: chat/completions, Anthropic /messages, and OpenAI
Responses. The Anthropic example includes max_tokens (Anthropic SDKs
require it even though Studio accepts None).

All examples derived from a computed sdk_base_url so the /v1 prefix
stays in sync if the public path ever changes.

* Hash API keys with HMAC-SHA256 + persistent server secret

Stores the HMAC secret in a new app_secrets singleton table. Fixes
CodeQL py/weak-sensitive-data-hashing alert on storage.py:74-76,
394-395. Refresh tokens stay on plain SHA-256 (unchanged _hash_token)
so existing user sessions survive upgrade — API keys are new on this
branch so there is no migration.

* Use PBKDF2 for API key hashing per CodeQL recommendation

HMAC-SHA256 was still flagged by py/weak-sensitive-data-hashing.
Switch to hashlib.pbkdf2_hmac, which is in CodeQL's recommended
allowlist (Argon2/scrypt/bcrypt/PBKDF2). Persistent server-side
salt stays in app_secrets for defense-in-depth. 100k iterations to
match auth/hashing.py's password hasher.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Roland Tannous <115670425+rolandtannous@users.noreply.github.com>
Co-authored-by: Roland Tannous <rolandtannous@gravityq.ai>
2026-04-13 21:08:11 +04:00

569 lines
20 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
import os
import platform
import subprocess
import sys
import time
from pathlib import Path
from typing import Optional
import typer
studio_app = typer.Typer(help = "Unsloth Studio commands.")
STUDIO_HOME = Path.home() / ".unsloth" / "studio"
# __file__ is unsloth_cli/commands/studio.py -- two parents up is the package root
# (either site-packages or the repo root for editable installs).
_PACKAGE_ROOT = Path(__file__).resolve().parent.parent.parent
def _studio_venv_python() -> Optional[Path]:
"""Return the studio venv Python binary, or None if not set up."""
if platform.system() == "Windows":
p = STUDIO_HOME / "unsloth_studio" / "Scripts" / "python.exe"
else:
p = STUDIO_HOME / "unsloth_studio" / "bin" / "python"
return p if p.is_file() else None
def _find_run_py() -> Optional[Path]:
"""Find studio/backend/run.py.
No CWD dependency — works from any directory.
Since studio/ is now a proper package (has __init__.py), it lives in
site-packages after pip install, right next to unsloth_cli/.
"""
# 1. Relative to __file__ (site-packages or editable repo root)
run_py = _PACKAGE_ROOT / "studio" / "backend" / "run.py"
if run_py.is_file():
return run_py
# 2. Studio venv's site-packages (Linux + Windows layouts)
for pattern in (
"lib/python*/site-packages/studio/backend/run.py",
"Lib/site-packages/studio/backend/run.py",
):
for match in (STUDIO_HOME / "unsloth_studio").glob(pattern):
return match
return None
def _find_setup_script() -> Optional[Path]:
"""Find studio/setup.sh or studio/setup.ps1.
No CWD dependency — works from any directory.
"""
name = "setup.ps1" if platform.system() == "Windows" else "setup.sh"
# 1. Relative to __file__ (site-packages or editable repo root)
s = _PACKAGE_ROOT / "studio" / name
if s.is_file():
return s
# 2. Studio venv's site-packages
for pattern in (
f"lib/python*/site-packages/studio/{name}",
f"Lib/site-packages/studio/{name}",
):
for match in (STUDIO_HOME / "unsloth_studio").glob(pattern):
return match
return None
# ── helpers for `unsloth studio run` ────────────────────────────────
def _wait_for_server(port: int, timeout: int = 30) -> bool:
"""Poll ``GET /api/health`` until the server responds 200 or *timeout* expires."""
import urllib.request
import urllib.error
url = f"http://127.0.0.1:{port}/api/health"
deadline = time.monotonic() + timeout
while time.monotonic() < deadline:
try:
with urllib.request.urlopen(url, timeout = 2) as resp:
if resp.status == 200:
return True
except (urllib.error.URLError, OSError, ConnectionError):
pass
time.sleep(0.5)
return False
def _create_api_key_inprocess(name: str) -> str:
"""Create an API key via direct storage call (no HTTP needed).
Bypasses the ``must_change_password`` gate that blocks HTTP
``POST /api/auth/api-keys`` on fresh installs. Safe because the
CLI already has filesystem access to ``~/.unsloth/studio``.
"""
from auth.storage import create_api_key, DEFAULT_ADMIN_USERNAME
raw_key, _row = create_api_key(username = DEFAULT_ADMIN_USERNAME, name = name)
return raw_key
def _load_model_via_http(
port: int,
api_key: str,
model: str,
gguf_variant: Optional[str],
max_seq_length: int,
load_in_4bit: bool,
timeout: int = 600,
) -> dict:
"""POST to ``/api/inference/load`` using the API key for auth."""
import json
import urllib.request
import urllib.error
payload: dict = {
"model_path": model,
"max_seq_length": max_seq_length,
"load_in_4bit": load_in_4bit,
}
if gguf_variant:
payload["gguf_variant"] = gguf_variant
data = json.dumps(payload).encode()
req = urllib.request.Request(
f"http://127.0.0.1:{port}/api/inference/load",
data = data,
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}",
},
method = "POST",
)
try:
with urllib.request.urlopen(req, timeout = timeout) as resp:
return json.loads(resp.read())
except urllib.error.HTTPError as exc:
body = exc.read().decode(errors = "replace")
raise RuntimeError(f"Model load failed (HTTP {exc.code}): {body}") from exc
# ── unsloth studio (server) ──────────────────────────────────────────
@studio_app.callback(invoke_without_command = True)
def studio_default(
ctx: typer.Context,
port: int = typer.Option(8888, "--port", "-p"),
host: str = typer.Option("0.0.0.0", "--host", "-H"),
frontend: Optional[Path] = typer.Option(None, "--frontend", "-f"),
silent: bool = typer.Option(False, "--silent", "-q"),
):
"""Launch the Unsloth Studio server."""
if ctx.invoked_subcommand is not None:
return
# Always use the studio venv if it exists and we're not already in it
studio_venv_dir = STUDIO_HOME / "unsloth_studio"
in_studio_venv = sys.prefix.startswith(str(studio_venv_dir))
if not in_studio_venv:
studio_python = _studio_venv_python()
run_py = _find_run_py()
if studio_python and run_py:
if not silent:
typer.echo("Launching Unsloth Studio... Please wait...")
args = [
str(studio_python),
str(run_py),
"--host",
host,
"--port",
str(port),
]
if frontend:
args.extend(["--frontend", str(frontend)])
if silent:
args.append("--silent")
# On Windows, os.execvp() spawns a child but the parent lingers,
# so Ctrl+C only kills the parent leaving the child orphaned.
# Use subprocess.run() on Windows so the parent waits for the child.
if sys.platform == "win32":
import subprocess as _sp
proc = _sp.Popen(args)
try:
rc = proc.wait()
except KeyboardInterrupt:
# Child has its own signal handler — let it finish
rc = proc.wait()
if rc != 0:
typer.echo(
f"\nError: Studio server exited unexpectedly (code {rc}).",
err = True,
)
typer.echo(
"Check the error above. If a package is missing, "
"re-run: unsloth studio setup",
err = True,
)
raise typer.Exit(rc)
else:
os.execvp(str(studio_python), args)
else:
typer.echo("Studio not set up. Run install.sh first.")
raise typer.Exit(1)
from studio.backend.run import run_server
if not silent:
from studio.backend.run import _resolve_external_ip
display_host = _resolve_external_ip() if host == "0.0.0.0" else host
typer.echo(f"Starting Unsloth Studio on http://{display_host}:{port}")
run_kwargs = dict(host = host, port = port, silent = silent)
if frontend is not None:
run_kwargs["frontend_path"] = frontend
run_server(**run_kwargs)
from studio.backend.run import _shutdown_event
try:
if _shutdown_event is not None:
# NOTE: Event.wait() without a timeout blocks at the C level
# on Linux, preventing Python from delivering SIGINT (Ctrl+C).
while not _shutdown_event.is_set():
_shutdown_event.wait(timeout = 1)
else:
while True:
time.sleep(1)
except KeyboardInterrupt:
from studio.backend.run import _graceful_shutdown, _server
_graceful_shutdown(_server)
typer.echo("\nShutting down...")
# ── unsloth studio run ───────────────────────────────────────────────
@studio_app.command()
def run(
model: str = typer.Option(..., "--model", "-m", help = "Model path or HF repo"),
gguf_variant: Optional[str] = typer.Option(
None, "--gguf-variant", help = "GGUF quant variant (e.g. UD-Q4_K_XL)"
),
max_seq_length: int = typer.Option(
0, "--max-seq-length", help = "Max sequence length (0 = model default)"
),
load_in_4bit: bool = typer.Option(True, "--load-in-4bit/--no-load-in-4bit"),
api_key_name: str = typer.Option(
"cli", "--api-key-name", help = "Label for the auto-generated API key"
),
port: int = typer.Option(8888, "--port", "-p"),
host: str = typer.Option("0.0.0.0", "--host", "-H"),
frontend: Optional[Path] = typer.Option(None, "--frontend", "-f"),
silent: bool = typer.Option(False, "--silent", "-q"),
):
"""Start Studio, load a model, and print an API key -- one-liner server.
Example:
unsloth studio run --model unsloth/Qwen3-1.7B-GGUF --gguf-variant UD-Q4_K_XL
"""
# ── 1. Venv re-exec (same pattern as studio_default) ──────────────
studio_venv_dir = STUDIO_HOME / "unsloth_studio"
in_studio_venv = sys.prefix.startswith(str(studio_venv_dir))
if not in_studio_venv:
studio_python = _studio_venv_python()
if not studio_python:
typer.echo("Studio not set up. Run install.sh first.")
raise typer.Exit(1)
# Re-exec into the studio venv via its `unsloth` entry point
studio_bin = studio_python.parent / "unsloth"
if not studio_bin.is_file():
typer.echo(
"Studio venv missing 'unsloth' entry point. Re-run: unsloth studio setup"
)
raise typer.Exit(1)
args = [
str(studio_bin),
"studio",
"run",
"--model",
model,
"--max-seq-length",
str(max_seq_length),
"--api-key-name",
api_key_name,
"--port",
str(port),
"--host",
host,
]
if gguf_variant:
args.extend(["--gguf-variant", gguf_variant])
if not load_in_4bit:
args.append("--no-load-in-4bit")
if frontend:
args.extend(["--frontend", str(frontend)])
if silent:
args.append("--silent")
if sys.platform == "win32":
proc = subprocess.Popen(args)
try:
rc = proc.wait()
except KeyboardInterrupt:
rc = proc.wait()
raise typer.Exit(rc)
else:
os.execvp(str(studio_bin), args)
# ── 2. Start server (always suppress built-in banner) ─────────────
from studio.backend.run import run_server, _resolve_external_ip
run_kwargs = dict(host = host, port = port, silent = True, llama_parallel_slots = 4)
if frontend is not None:
run_kwargs["frontend_path"] = frontend
app = run_server(**run_kwargs)
actual_port = getattr(app.state, "server_port", port) or port
# ── 3. Wait for server health ─────────────────────────────────────
if not silent:
typer.echo("Starting Unsloth Studio...")
if not _wait_for_server(actual_port):
typer.echo("Error: server did not become healthy within 30 seconds.", err = True)
raise typer.Exit(1)
# ── 4. Create API key in-process ──────────────────────────────────
api_key = _create_api_key_inprocess(api_key_name)
# ── 5. Load model via HTTP ────────────────────────────────────────
if not silent:
typer.echo(f"Loading model: {model}...")
try:
result = _load_model_via_http(
port = actual_port,
api_key = api_key,
model = model,
gguf_variant = gguf_variant,
max_seq_length = max_seq_length,
load_in_4bit = load_in_4bit,
)
except RuntimeError as exc:
typer.echo(f"Error: {exc}", err = True)
raise typer.Exit(1)
loaded_model = result.get("model", model)
display_variant = f" ({gguf_variant})" if gguf_variant else ""
# ── 6. Print banner ───────────────────────────────────────────────
display_host = _resolve_external_ip() if host == "0.0.0.0" else host
base_url = f"http://{display_host}:{actual_port}"
sdk_base_url = f"{base_url}/v1"
if not silent:
typer.echo("")
typer.echo("=" * 56)
typer.echo(f" Unsloth Studio running at {base_url}")
typer.echo(f" Model loaded: {loaded_model}{display_variant}")
typer.echo(f" API Key: {api_key}")
typer.echo("")
typer.echo(" OpenAI / Anthropic SDK base URL:")
typer.echo(f" {sdk_base_url}")
typer.echo("=" * 56)
typer.echo("")
typer.echo("OpenAI Chat Completions:")
typer.echo(f" curl {sdk_base_url}/chat/completions \\")
typer.echo(f' -H "Authorization: Bearer {api_key}" \\')
typer.echo(' -H "Content-Type: application/json" \\')
typer.echo(
""" -d '{"messages": [{"role": "user", "content": "Hello"}], "stream": true}'"""
)
typer.echo("")
typer.echo("Anthropic Messages:")
typer.echo(f" curl {sdk_base_url}/messages \\")
typer.echo(f' -H "Authorization: Bearer {api_key}" \\')
typer.echo(' -H "Content-Type: application/json" \\')
typer.echo(
""" -d '{"max_tokens": 256, "messages": [{"role": "user", "content": "Hello"}], "stream": true}'"""
)
typer.echo("")
typer.echo("OpenAI Responses:")
typer.echo(f" curl {sdk_base_url}/responses \\")
typer.echo(f' -H "Authorization: Bearer {api_key}" \\')
typer.echo(' -H "Content-Type: application/json" \\')
typer.echo(""" -d '{"input": "Hello", "stream": true}'""")
typer.echo("")
# ── 7. Wait for Ctrl+C ────────────────────────────────────────────
from studio.backend.run import _shutdown_event, _graceful_shutdown, _server
try:
if _shutdown_event is not None:
while not _shutdown_event.is_set():
_shutdown_event.wait(timeout = 1)
else:
while True:
time.sleep(1)
except KeyboardInterrupt:
_graceful_shutdown(_server)
typer.echo("\nShutting down...")
# ── unsloth studio stop ───────────────────────────────────────────────
_PID_FILE = STUDIO_HOME / "studio.pid"
@studio_app.command()
def stop():
"""Stop a running Unsloth Studio server.
Reads the PID from ~/.unsloth/studio/studio.pid and sends SIGTERM
(or TerminateProcess on Windows) to shut it down gracefully.
"""
import signal as _signal
if not _PID_FILE.is_file():
typer.echo("No running Studio server found (no PID file).")
raise typer.Exit(0)
pid_text = _PID_FILE.read_text().strip()
if not pid_text.isdigit():
typer.echo(f"Invalid PID file contents: {pid_text}")
_PID_FILE.unlink(missing_ok = True)
raise typer.Exit(1)
pid = int(pid_text)
# Check if the process is still alive
try:
os.kill(pid, 0)
except ProcessLookupError:
typer.echo(
f"Studio server (PID {pid}) is not running. Cleaning up stale PID file."
)
_PID_FILE.unlink(missing_ok = True)
raise typer.Exit(0)
except PermissionError:
pass # process exists but we may not own it; try to signal anyway
# Send SIGTERM (graceful shutdown) or TerminateProcess on Windows
try:
if sys.platform == "win32":
subprocess.run(["taskkill", "/PID", str(pid), "/F"], check = True)
else:
os.kill(pid, _signal.SIGTERM)
typer.echo(f"Sent shutdown signal to Studio server (PID {pid}).")
except ProcessLookupError:
typer.echo(f"Studio server (PID {pid}) already exited.")
_PID_FILE.unlink(missing_ok = True)
raise typer.Exit(0)
except Exception as e:
typer.echo(f"Failed to stop Studio server (PID {pid}): {e}", err = True)
raise typer.Exit(1)
# Wait briefly for the process to exit and clean up
for _ in range(10):
time.sleep(0.5)
try:
os.kill(pid, 0)
except ProcessLookupError:
_PID_FILE.unlink(missing_ok = True)
typer.echo("Studio server stopped.")
raise typer.Exit(0)
except PermissionError:
break
typer.echo("Studio server is shutting down (may take a few seconds).")
# ── unsloth studio setup / update ─────────────────────────────────────
def _run_setup_script(*, verbose: bool = False) -> None:
"""Find and run the studio setup/update script."""
script = _find_setup_script()
if not script:
typer.echo("Error: Could not find setup script (setup.sh / setup.ps1).")
raise typer.Exit(1)
env = {**os.environ, "UNSLOTH_VERBOSE": "1"} if verbose else None
if platform.system() == "Windows":
result = subprocess.run(
["powershell", "-ExecutionPolicy", "Bypass", "-File", str(script)],
env = env,
)
else:
result = subprocess.run(["bash", str(script)], env = env)
if result.returncode != 0:
raise typer.Exit(result.returncode)
@studio_app.command(hidden = True)
def setup(
verbose: bool = typer.Option(
False,
"--verbose",
"-v",
help = "Full pip/build output during setup for troubleshooting.",
),
):
"""Run Studio setup (called by install.ps1 / install.sh)."""
_run_setup_script(verbose = verbose)
@studio_app.command()
def update(
local: bool = typer.Option(
False, "--local", help = "Install from local repo instead of PyPI"
),
package: str = typer.Option(
"unsloth", "--package", help = "Package name to install/update (for testing)"
),
verbose: bool = typer.Option(
False,
"--verbose",
"-v",
help = "Full pip/build output during update for troubleshooting.",
),
):
"""Update Unsloth Studio dependencies and rebuild."""
# Ensure SKIP_STUDIO_BASE is not inherited from a parent install.ps1 session
os.environ.pop("SKIP_STUDIO_BASE", None)
os.environ["STUDIO_PACKAGE_NAME"] = package
if local:
os.environ["STUDIO_LOCAL_INSTALL"] = "1"
# Pass the repo root explicitly so install_python_stack.py doesn't
# have to guess from SCRIPT_DIR (which may be inside site-packages).
repo_root = Path(__file__).resolve().parents[2]
os.environ["STUDIO_LOCAL_REPO"] = str(repo_root)
else:
os.environ["STUDIO_LOCAL_INSTALL"] = "0"
os.environ.pop("STUDIO_LOCAL_REPO", None)
_run_setup_script(verbose = verbose)
# ── unsloth studio reset-password ────────────────────────────────────
@studio_app.command("reset-password")
def reset_password():
"""Reset the Studio admin password.
Deletes the auth database so that a fresh admin account with a new
random password is created on the next server start. The Studio
server must be restarted after running this command.
"""
auth_dir = STUDIO_HOME / "auth"
db_file = auth_dir / "auth.db"
pw_file = auth_dir / ".bootstrap_password"
if not db_file.exists():
typer.echo("No auth database found -- nothing to reset.")
raise typer.Exit(0)
db_file.unlink(missing_ok = True)
pw_file.unlink(missing_ok = True)
typer.echo("Auth database deleted. Restart Unsloth Studio to get a new password.")