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cbc00ce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 | # -*- coding: utf-8 -*-
# Copyright (c) Alibaba, Inc. and its affiliates.
import copy
from typing import Any, List
from dashscope.api_entities.dashscope_response import (
DashScopeAPIResponse,
Message,
Role,
)
from dashscope.client.base_api import BaseApi
from dashscope.common.constants import (
CUSTOMIZED_MODEL_ID,
DEPRECATED_MESSAGE,
HISTORY,
MESSAGES,
PROMPT,
)
from dashscope.common.error import InputRequired, ModelRequired
from dashscope.common.logging import logger
class Tokenization(BaseApi):
FUNCTION = "tokenizer"
"""API for get tokenizer result..
"""
class Models:
"""List of models currently supported"""
qwen_turbo = "qwen-turbo"
qwen_plus = "qwen-plus"
qwen_7b_chat = "qwen-7b-chat"
qwen_14b_chat = "qwen-14b-chat"
llama2_7b_chat_v2 = "llama2-7b-chat-v2"
llama2_13b_chat_v2 = "llama2-13b-chat-v2"
text_embedding_v2 = "text-embedding-v2"
qwen_72b_chat = "qwen-72b-chat"
@classmethod
# type: ignore[override]
def call( # pylint: disable=arguments-renamed # noqa: E501
cls,
model: str,
input: Any = None, # pylint: disable=redefined-builtin
prompt: Any = None,
history: list = None,
api_key: str = None,
messages: List[Message] = None,
workspace: str = None,
**kwargs,
) -> DashScopeAPIResponse:
"""Call tokenization.
Args:
model (str): The requested model, such as qwen-v1
input: (Any): The model input body.
prompt (Any): The input prompt, for qwen serial model.
history (list):The user provided history,
deprecated, use messages instead.
examples:
[{'user':'The weather is fine today.',
'bot': 'Suitable for outings'}].
Defaults to None.
api_key (str, optional): The api api_key, can be None,
if None, will get by default rule(TODO: api key doc).
messages (list): The generation messages.
examples:
[{'role': 'user',
'content': 'The weather is fine today.'},
{'role': 'assistant', 'content': 'Suitable for outings'}]
workspace (str): The dashscope workspace id.
**kwargs:
see model input.
Raises:
InputRequired: input is required.
ModelRequired: model is required.
Returns:
DashScopeAPIResponse: The tokenizer output.
"""
if ( # pylint: disable=too-many-boolean-expressions
(input is None or not input)
and (prompt is None or not prompt)
and (messages is None or not messages)
):
raise InputRequired("prompt or messages is required!")
if model is None or not model:
raise ModelRequired("Model is required!")
if input is None:
input, parameters = cls._build_llm_parameters(
model,
prompt,
history,
messages,
**kwargs,
)
else:
parameters = kwargs
if kwargs.pop("stream", False): # not support stream
logger.warning("streaming option not supported for tokenization.")
return super().call(
model=model,
task_group=None, # type: ignore[arg-type]
function=cls.FUNCTION,
api_key=api_key,
input=input,
is_service=False,
workspace=workspace,
**parameters,
)
@classmethod
def _build_llm_parameters(cls, model, prompt, history, messages, **kwargs):
parameters = {}
input = {} # pylint: disable=redefined-builtin
if history is not None:
logger.warning(DEPRECATED_MESSAGE)
input[HISTORY] = history
if prompt is not None and prompt:
input[PROMPT] = prompt
elif messages is not None:
msgs = copy.deepcopy(messages)
if prompt is not None and prompt:
msgs.append({"role": Role.USER, "content": prompt})
input = {MESSAGES: msgs}
else:
input[PROMPT] = prompt
if model.startswith("qwen"):
enable_search = kwargs.pop("enable_search", False)
if enable_search:
parameters["enable_search"] = enable_search
elif model.startswith("bailian"):
customized_model_id = kwargs.pop("customized_model_id", None)
if customized_model_id is None:
raise InputRequired(
f"customized_model_id is required for {model}",
)
input[CUSTOMIZED_MODEL_ID] = customized_model_id
return input, {**parameters, **kwargs}
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