# SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from frontend.fastapi_frontend import FastApiFrontend from llm.api_server.triton_distributed_engine import TritonDistributedEngine from triton_distributed.worker.logger import get_logger from .parser import parse_args def main(args): print(args) logger = get_logger(args.log_level, args.program_name) logger.info("Starting") # Wrap Triton Distributed in an interface-conforming "LLMEngine" engine: TritonDistributedEngine = TritonDistributedEngine( nats_url=args.request_plane_uri, data_plane_host=args.data_plane_host, data_plane_port=args.data_plane_port, model_name=args.model_name, tokenizer=args.tokenizer, backend=args.backend, ) # Attach TritonLLMEngine as the backbone for inference and model management openai_frontend: FastApiFrontend = FastApiFrontend( engine=engine, host=args.api_server_host, port=args.api_server_port, log_level=args.log_level, ) # Blocking call until killed or interrupted with SIGINT openai_frontend.start() if __name__ == "__main__": parser, args = parse_args() args.program_name = parser.prog main(args)