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70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from __future__ import annotations
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import argparse
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import asyncio
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import importlib.metadata
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import typing
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from vllm.entrypoints.cli.types import CLISubcommand
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from vllm.entrypoints.utils import (VLLM_SUBCMD_PARSER_EPILOG,
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show_filtered_argument_or_group_from_help)
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from vllm.logger import init_logger
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if typing.TYPE_CHECKING:
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from vllm.utils import FlexibleArgumentParser
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logger = init_logger(__name__)
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class RunBatchSubcommand(CLISubcommand):
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"""The `run-batch` subcommand for vLLM CLI."""
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name = "run-batch"
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@staticmethod
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def cmd(args: argparse.Namespace) -> None:
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from vllm.entrypoints.openai.run_batch import main as run_batch_main
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logger.info("vLLM batch processing API version %s",
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importlib.metadata.version("vllm"))
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logger.info("args: %s", args)
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# Start the Prometheus metrics server.
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# LLMEngine uses the Prometheus client
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# to publish metrics at the /metrics endpoint.
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if args.enable_metrics:
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from prometheus_client import start_http_server
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logger.info("Prometheus metrics enabled")
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start_http_server(port=args.port, addr=args.url)
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else:
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logger.info("Prometheus metrics disabled")
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asyncio.run(run_batch_main(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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from vllm.entrypoints.openai.run_batch import make_arg_parser
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run_batch_parser = subparsers.add_parser(
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"run-batch",
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help="Run batch prompts and write results to file.",
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description=(
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"Run batch prompts using vLLM's OpenAI-compatible API.\n"
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"Supports local or HTTP input/output files."),
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usage=
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"vllm run-batch -i INPUT.jsonl -o OUTPUT.jsonl --model <model>",
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)
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run_batch_parser = make_arg_parser(run_batch_parser)
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show_filtered_argument_or_group_from_help(run_batch_parser,
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["run-batch"])
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run_batch_parser.epilog = VLLM_SUBCMD_PARSER_EPILOG
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return run_batch_parser
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def cmd_init() -> list[CLISubcommand]:
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return [RunBatchSubcommand()]
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