63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import argparse
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import uvloop
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from vllm.engine.arg_utils import EngineArgs
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from vllm.entrypoints.cli.types import CLISubcommand
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from vllm.entrypoints.openai.api_server import run_server
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from vllm.entrypoints.openai.cli_args import (make_arg_parser,
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validate_parsed_serve_args)
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from vllm.utils import FlexibleArgumentParser
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class ServeSubcommand(CLISubcommand):
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"""The `serve` subcommand for the vLLM CLI. """
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def __init__(self):
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self.name = "serve"
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super().__init__()
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@staticmethod
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def cmd(args: argparse.Namespace) -> None:
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# The default value of `--model`
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if args.model != EngineArgs.model:
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raise ValueError(
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"With `vllm serve`, you should provide the model as a "
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"positional argument instead of via the `--model` option.")
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# EngineArgs expects the model name to be passed as --model.
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args.model = args.model_tag
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uvloop.run(run_server(args))
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def validate(self, args: argparse.Namespace) -> None:
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validate_parsed_serve_args(args)
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def subparser_init(
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self,
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subparsers: argparse._SubParsersAction) -> FlexibleArgumentParser:
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serve_parser = subparsers.add_parser(
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"serve",
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help="Start the vLLM OpenAI Compatible API server",
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usage="vllm serve <model_tag> [options]")
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serve_parser.add_argument("model_tag",
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type=str,
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help="The model tag to serve")
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serve_parser.add_argument(
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"--config",
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type=str,
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default='',
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required=False,
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help="Read CLI options from a config file."
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"Must be a YAML with the following options:"
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"https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#cli-reference"
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)
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return make_arg_parser(serve_parser)
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def cmd_init() -> list[CLISubcommand]:
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return [ServeSubcommand()]
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