mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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466cbb5a99
* add v1/models interface related * add model parameters * default model verification * unit test * check model err_msg * unit test * type annotation * model parameter in response * modify document description * modify document description * unit test * verification * verification update * model_name * pre-commit * update test case * update test case * Update tests/entrypoints/openai/test_serving_models.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update tests/entrypoints/openai/test_serving_models.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update tests/entrypoints/openai/test_serving_models.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update tests/entrypoints/openai/test_serving_models.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update fastdeploy/entrypoints/openai/serving_models.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: LiqinruiG <37392159+LiqinruiG@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
97 lines
2.9 KiB
Python
97 lines
2.9 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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from dataclasses import dataclass
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from typing import List, Union
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from fastdeploy.entrypoints.openai.protocol import (
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ErrorResponse,
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ModelInfo,
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ModelList,
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ModelPermission,
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)
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from fastdeploy.utils import api_server_logger, get_host_ip
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@dataclass
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class ModelPath:
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name: str
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model_path: str
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verification: bool = False
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class OpenAIServingModels:
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"""
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OpenAI-style models serving
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"""
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def __init__(
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self,
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model_paths: list[ModelPath],
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max_model_len: int,
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ips: Union[List[str], str],
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):
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self.model_paths = model_paths
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self.max_model_len = max_model_len
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self.master_ip = ips
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self.host_ip = get_host_ip()
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if self.master_ip is not None:
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if isinstance(self.master_ip, list):
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self.master_ip = self.master_ip[0]
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else:
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self.master_ip = self.master_ip.split(",")[0]
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def _check_master(self):
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if self.master_ip is None:
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return True
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if self.host_ip == self.master_ip:
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return True
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return False
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def is_supported_model(self, model_name) -> tuple[bool, str]:
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"""
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Check whether the specified model is supported.
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"""
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if self.model_paths[0].verification is False:
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return True, self.model_name()
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if model_name == "default":
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return True, self.model_name()
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return any(model.name == model_name for model in self.model_paths), model_name
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def model_name(self) -> str:
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"""
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Returns the current model name.
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"""
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return self.model_paths[0].name
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async def list_models(self) -> ModelList:
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"""
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Show available models.
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"""
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if not self._check_master():
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err_msg = (
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f"Only master node can accept models request, please send request to master node: {self.master_ip}"
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)
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api_server_logger.error(err_msg)
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return ErrorResponse(message=err_msg, code=400)
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model_infos = [
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ModelInfo(
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id=model.name, max_model_len=self.max_model_len, root=model.model_path, permission=[ModelPermission()]
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)
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for model in self.model_paths
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]
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return ModelList(data=model_infos)
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