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1 # SPDX-License-Identifier: Apache-2.0
2 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
3
4 import argparse
5 import signal
6 import time
7
8 import uvloop
9
10 import vllm
11 import vllm.envs as envs
12 from vllm.entrypoints.cli.types import CLISubcommand
13 from vllm.entrypoints.launchers.api_server.entry import run_server, setup_server
14 from vllm.entrypoints.launchers.cli_args import (
15 make_arg_parser,
16 propagate_flash_late_interaction,
17 validate_parsed_serve_args,
18 )
19 from vllm.entrypoints.launchers.dp_supervisor import run_dp_supervisor
20 from vllm.entrypoints.launchers.launcher import create_server_socket
21 from vllm.entrypoints.serve.utils.api_utils import VLLM_SUBCMD_PARSER_EPILOG
22 from vllm.logger import init_logger
23 from vllm.reasoning import ReasoningParserManager
24 from vllm.usage.usage_lib import UsageContext
25 from vllm.utils.argparse_utils import FlexibleArgumentParser
26 from vllm.utils.network_utils import get_tcp_uri
27 from vllm.v1.engine.utils import CoreEngineProcManager, launch_core_engines
28 from vllm.v1.executor import Executor
29 from vllm.v1.executor.multiproc_executor import MultiprocExecutor
30 from vllm.v1.metrics.prometheus import setup_multiprocess_prometheus
31 from vllm.v1.utils import (
32 APIServerProcessManager,
33 RustFrontendProcessManager,
34 wait_for_completion_or_failure,
35 )
36
37 logger = init_logger(__name__)
38
39 DESCRIPTION = """Launch a local OpenAI-compatible API server to serve LLM
40 completions via HTTP. Defaults to Qwen/Qwen3-0.6B if no model is specified.
41
42 Search by using: `--help=<ConfigGroup>` to explore options by section (e.g.,
43 --help=ModelConfig, --help=Frontend)
44 Use `--help=all` to show all available flags at once.
45 """
46
47
48 class ServeSubcommand(CLISubcommand):
49 """The `serve` subcommand for the vLLM CLI."""
50
51 name = "serve"
52
53 @staticmethod
54 def cmd(args: argparse.Namespace) -> None:
55 # If model is specified in CLI (as positional arg), it takes precedence
56 if hasattr(args, "model_tag") and args.model_tag is not None:
57 args.model = args.model_tag
58
59 if getattr(args, "grpc", False):
60 from vllm.entrypoints.launchers.grpc_server import serve_grpc
61
62 uvloop.run(serve_grpc(args))
63 return
64
65 rust_frontend_path = (
66 envs.VLLM_RUST_FRONTEND_PATH if envs.VLLM_USE_RUST_FRONTEND else None
67 )
68
69 if args.headless:
70 if args.api_server_count is not None and args.api_server_count > 0:
71 raise ValueError(
72 f"--api-server-count={args.api_server_count} cannot be "
73 "used with --headless (no API servers are started in "
74 "headless mode)."
75 )
76 # Default to 0 in headless mode (no API servers)
77 args.api_server_count = 0
78
79 # Detect LB mode for defaulting api_server_count.
80 # Multi-port: --data-parallel-multi-port-external-lb
81 # External LB: --data-parallel-external-lb or --data-parallel-rank
82 # Hybrid LB: --data-parallel-hybrid-lb or --data-parallel-start-rank
83 is_external_lb = (
84 args.data_parallel_external_lb or args.data_parallel_rank is not None
85 )
86
87 # If --data_parallel_multi_port_external_lb and --data_parallel_hybrid_lb
88 # are unset, default to hybrid if --data-parallel-start-rank is set
89 is_hybrid_lb = is_multi_port = False
90 if (
91 not args.data_parallel_hybrid_lb
92 and not args.data_parallel_multi_port_external_lb
93 ):
94 is_hybrid_lb = args.data_parallel_start_rank is not None
95 else:
96 is_hybrid_lb = args.data_parallel_hybrid_lb
97 is_multi_port = args.data_parallel_multi_port_external_lb
98
99 if sum([is_multi_port, is_external_lb, is_hybrid_lb]) > 1:
100 raise ValueError(
101 "Cannot use more than one data parallel load balancing mode. "
102 "Choose one of: --data-parallel-multi-port-external-lb, "
103 "--data-parallel-external-lb (or --data-parallel-rank), "
104 "--data-parallel-hybrid-lb (or --data-parallel-start-rank)."
105 )
106
107 # Default api_server_count if not explicitly set.
108 # - Multi-port: 1 (supervisor spawns one server per local DP rank)
109 # - Rust frontend: 1 (not applicable as it's multithreaded)
110 # - External LB: 1 (external LB handles distribution)
111 # - Hybrid LB: Use local DP size (internal LB for local ranks only)
112 # - Internal LB: Use full DP size
113 if args.api_server_count is None:
114 if is_multi_port or is_external_lb or rust_frontend_path:
115 args.api_server_count = 1
116 elif is_hybrid_lb:
117 args.api_server_count = args.data_parallel_size_local or 1
118 if args.api_server_count > 1:
119 logger.info(
120 "Defaulting api_server_count to data_parallel_size_local "
121 "(%d) for hybrid LB mode.",
122 args.api_server_count,
123 )
124 else:
125 args.api_server_count = args.data_parallel_size
126 if args.api_server_count > 1:
127 logger.info(
128 "Defaulting api_server_count to data_parallel_size (%d).",
129 args.api_server_count,
130 )
131 elif rust_frontend_path and args.api_server_count > 1:
132 logger.warning(
133 "Ignoring --api-server-count=%d when using rust front-end process",
134 args.api_server_count,
135 )
136 args.api_server_count = 1
137
138 # Elastic EP currently only supports running with at most one API server.
139 if getattr(args, "enable_elastic_ep", False) and args.api_server_count > 1:
140 logger.warning(
141 "Elastic EP only supports running with with at most one API server. "
142 "Capping api_server_count from %d to 1.",
143 args.api_server_count,
144 )
145 args.api_server_count = 1
146
147 if is_multi_port:
148 run_dp_supervisor(args)
149 elif args.api_server_count < 1:
150 run_headless(args)
151 elif args.api_server_count > 1 or rust_frontend_path:
152 run_multi_api_server(args)
153 else:
154 # Single API server (this process).
155 args.api_server_count = None
156 uvloop.run(run_server(args))
157
158 def validate(self, args: argparse.Namespace) -> None:
159 validate_parsed_serve_args(args)
160
161 def subparser_init(
162 self, subparsers: argparse._SubParsersAction
163 ) -> FlexibleArgumentParser:
164 serve_parser = subparsers.add_parser(
165 self.name,
166 help="Launch a local OpenAI-compatible API server to serve LLM "
167 "completions via HTTP.",
168 description=DESCRIPTION,
169 usage="vllm serve [model_tag] [options]",
170 )
171
172 serve_parser = make_arg_parser(serve_parser)
173 serve_parser.epilog = VLLM_SUBCMD_PARSER_EPILOG.format(subcmd=self.name)
174 return serve_parser
175
176
177 def cmd_init() -> list[CLISubcommand]:
178 return [ServeSubcommand()]
179
180
181 def run_headless(args: argparse.Namespace):
182 if args.api_server_count > 1:
183 raise ValueError("api_server_count can't be set in headless mode")
184
185 if args.reasoning_parser_plugin and len(args.reasoning_parser_plugin) > 3:
186 ReasoningParserManager.import_reasoning_parser(args.reasoning_parser_plugin)
187
188 # Create the EngineConfig.
189 engine_args = vllm.AsyncEngineArgs.from_cli_args(args)
190 propagate_flash_late_interaction(args, engine_args)
191 usage_context = UsageContext.OPENAI_API_SERVER
192 vllm_config = engine_args.create_engine_config(
193 usage_context=usage_context, headless=True
194 )
195
196 if engine_args.data_parallel_hybrid_lb:
197 raise ValueError("data_parallel_hybrid_lb is not applicable in headless mode")
198
199 parallel_config = vllm_config.parallel_config
200 local_engine_count = parallel_config.data_parallel_size_local
201
202 if local_engine_count <= 0:
203 raise ValueError("data_parallel_size_local must be > 0 in headless mode")
204
205 shutdown_requested = False
206
207 # Catch SIGTERM and SIGINT to allow graceful shutdown.
208 def signal_handler(signum, frame):
209 nonlocal shutdown_requested
210 logger.debug("Received %d signal.", signum)
211 if not shutdown_requested:
212 shutdown_requested = True
213 raise SystemExit
214
215 signal.signal(signal.SIGTERM, signal_handler)
216 signal.signal(signal.SIGINT, signal_handler)
217
218 if parallel_config.node_rank_within_dp > 0:
219 from vllm.version import __version__ as VLLM_VERSION
220
221 # Run headless workers (for multi-node PP/TP).
222 host = parallel_config.master_addr
223 head_node_address = f"{host}:{parallel_config.master_port}"
224 logger.info(
225 "Launching vLLM (v%s) headless multiproc executor, "
226 "with head node address %s for torch.distributed process group.",
227 VLLM_VERSION,
228 head_node_address,
229 )
230
231 executor = MultiprocExecutor(vllm_config, monitor_workers=False)
232 executor.start_worker_monitor(inline=True)
233 return
234
235 host = parallel_config.data_parallel_master_ip
236 port = parallel_config.data_parallel_rpc_port
237 handshake_address = get_tcp_uri(host, port)
238
239 logger.info(
240 "Launching %d data parallel engine(s) in headless mode, "
241 "with head node address %s.",
242 local_engine_count,
243 handshake_address,
244 )
245
246 # Create the engines.
247 engine_manager = CoreEngineProcManager(
248 local_engine_count=local_engine_count,
249 start_index=vllm_config.parallel_config.data_parallel_rank,
250 local_start_index=0,
251 vllm_config=vllm_config,
252 local_client=False,
253 handshake_address=handshake_address,
254 executor_class=Executor.get_class(vllm_config),
255 log_stats=not engine_args.disable_log_stats,
256 )
257
258 try:
259 engine_manager.monitor_engine_liveness()
260 finally:
261 timeout = None
262 if shutdown_requested:
263 timeout = vllm_config.shutdown_timeout
264 logger.info("Waiting up to %d seconds for processes to exit", timeout)
265 engine_manager.shutdown(timeout=timeout)
266 logger.info("Shutting down.")
267
268
269 def run_multi_api_server(args: argparse.Namespace):
270 assert not args.headless
271 rust_frontend_path = (
272 envs.VLLM_RUST_FRONTEND_PATH if envs.VLLM_USE_RUST_FRONTEND else None
273 )
274 num_api_servers: int = args.api_server_count
275 assert num_api_servers > 0
276
277 if rust_frontend_path and num_api_servers > 1:
278 raise ValueError(
279 "VLLM_RUST_FRONTEND_PATH does not support api_server_count > 1"
280 )
281
282 if num_api_servers > 1:
283 setup_multiprocess_prometheus()
284
285 shutdown_requested = False
286
287 # Catch SIGTERM and SIGINT to allow graceful shutdown.
288 def signal_handler(signum, frame):
289 nonlocal shutdown_requested
290 logger.debug("Received %d signal.", signum)
291 if not shutdown_requested:
292 shutdown_requested = True
293 raise SystemExit
294
295 signal.signal(signal.SIGTERM, signal_handler)
296 signal.signal(signal.SIGINT, signal_handler)
297
298 listen_address, sock = setup_server(args, reuse_port=num_api_servers > 1)
299 # `--grpc-port` is only accepted for the Rust frontend, which inherits this
300 # listener like the HTTP one. gRPC follows the HTTP TCP host, or IPv4
301 # loopback when HTTP uses a Unix socket.
302 grpc_sock = None
303 if args.grpc_port is not None:
304 grpc_host = "127.0.0.1" if args.uds else (args.host or "")
305 grpc_sock = create_server_socket((grpc_host, args.grpc_port), reuse_port=False)
306
307 engine_args = vllm.AsyncEngineArgs.from_cli_args(args)
308 propagate_flash_late_interaction(args, engine_args)
309 engine_args._api_process_count = num_api_servers
310 engine_args._api_process_rank = -1
311
312 usage_context = UsageContext.OPENAI_API_SERVER
313 vllm_config = engine_args.create_engine_config(usage_context=usage_context)
314
315 if num_api_servers > 1 and envs.VLLM_ALLOW_RUNTIME_LORA_UPDATING:
316 raise ValueError(
317 "VLLM_ALLOW_RUNTIME_LORA_UPDATING cannot be used with api_server_count > 1"
318 )
319
320 executor_class = Executor.get_class(vllm_config)
321 log_stats = not engine_args.disable_log_stats
322
323 parallel_config = vllm_config.parallel_config
324 dp_rank = parallel_config.data_parallel_rank
325 assert parallel_config.local_engines_only or dp_rank == 0
326
327 api_server_manager: APIServerProcessManager | RustFrontendProcessManager | None = (
328 None
329 )
330
331 from vllm.v1.engine.utils import get_engine_zmq_addresses
332
333 # Defer port allocation to the child's bind() to avoid TOCTOU, except
334 # for Rust front-end and Ray DP, which can't see the post-bind rebind
335 # (CLI-arg subprocess / pickled-into-actor snapshot respectively) and
336 # so pre-allocate driver-side -- reintroducing the original race only
337 # there.
338 is_ray_dp = parallel_config.data_parallel_backend == "ray"
339 addresses = get_engine_zmq_addresses(
340 vllm_config,
341 num_api_servers,
342 defer_api_server_ports=not (rust_frontend_path or is_ray_dp),
343 )
344
345 with launch_core_engines(
346 vllm_config, executor_class, log_stats, addresses
347 ) as engine_launch:
348 local_engine_manager = engine_launch.engine_manager
349 coordinator = engine_launch.coordinator
350 addresses = engine_launch.addresses
351 stats_update_address = (
352 coordinator.get_stats_publish_address() if coordinator else None
353 )
354
355 if rust_frontend_path:
356 if parallel_config.local_engines_only:
357 expected_engine_start_index = parallel_config.data_parallel_rank
358 expected_engine_count = parallel_config.data_parallel_size_local
359 else:
360 expected_engine_start_index = 0
361 expected_engine_count = parallel_config.data_parallel_size
362 # Start rust front-end process.
363 api_server_manager = RustFrontendProcessManager(
364 binary_path=rust_frontend_path,
365 sock=sock,
366 grpc_sock=grpc_sock,
367 args=args,
368 input_address=addresses.inputs[0],
369 output_address=addresses.outputs[0],
370 engine_start_index=expected_engine_start_index,
371 engine_count=expected_engine_count,
372 data_parallel_size=parallel_config.data_parallel_size,
373 stats_update_address=stats_update_address,
374 )
375 else:
376 # Start API server(s).
377 api_server_manager = APIServerProcessManager(
378 listen_address=listen_address,
379 sock=sock,
380 args=args,
381 num_servers=num_api_servers,
382 input_addresses=addresses.inputs,
383 output_addresses=addresses.outputs,
384 stats_update_address=stats_update_address,
385 tensor_queue=engine_launch.tensor_queue,
386 )
387
388 if not is_ray_dp:
389 # Forward each child's bound endpoints to the engine handshake
390 # (runs on ``with`` exit). Skipped for Ray DP, where addresses
391 # are pre-allocated above and Ray actors already hold them.
392 actual_inputs, actual_outputs = (
393 api_server_manager.gather_actual_addresses()
394 )
395 addresses.inputs = actual_inputs
396 addresses.outputs = actual_outputs
397
398 # Set frontend processes to watch during engine startup.
399 # If any of these processes exit before the engines are up, the engine startup
400 # will be aborted with an error.
401 engine_launch.watched_frontend_processes = api_server_manager.processes
402
403 # Wait for API servers.
404 try:
405 wait_for_completion_or_failure(
406 api_server_manager=api_server_manager,
407 engine_manager=local_engine_manager,
408 coordinator=coordinator,
409 )
410 finally:
411 timeout = shutdown_by = None
412 if shutdown_requested:
413 timeout = vllm_config.shutdown_timeout
414 shutdown_by = time.monotonic() + timeout
415 logger.info("Waiting up to %d seconds for processes to exit", timeout)
416
417 def to_timeout(deadline: float | None) -> float | None:
418 return (
419 deadline if deadline is None else max(deadline - time.monotonic(), 0.0)
420 )
421
422 api_server_manager.shutdown(timeout=timeout)
423 if local_engine_manager:
424 local_engine_manager.shutdown(timeout=to_timeout(shutdown_by))
425 if coordinator:
426 coordinator.shutdown(timeout=to_timeout(shutdown_by))