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fdc
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
from __future__ import annotations
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import typing
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from . import chatcmpl
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from .. import errors, requester
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from ....core import entities as core_entities
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from ... import entities as llm_entities
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from ...tools import entities as tools_entities
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class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
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"""Deepseek ChatCompletion API 请求器"""
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default_config: dict[str, typing.Any] = {
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'base_url': 'https://api.deepseek.com',
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'timeout': 120,
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}
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async def _closure(
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self,
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query: core_entities.Query,
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req_messages: list[dict],
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use_model: requester.RuntimeLLMModel,
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use_funcs: list[tools_entities.LLMFunction] = None,
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extra_args: dict[str, typing.Any] = {},
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remove_think: bool = False,
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) -> llm_entities.Message:
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self.client.api_key = use_model.token_mgr.get_token()
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args = {}
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args['model'] = use_model.model_entity.name
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if use_funcs:
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tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
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if tools:
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args['tools'] = tools
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# 设置此次请求中的messages
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messages = req_messages
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# deepseek 不支持多模态，把content都转换成纯文字
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for m in messages:
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if 'content' in m and isinstance(m['content'], list):
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m['content'] = ' '.join([c['text'] for c in m['content']])
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args['messages'] = messages
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# 发送请求
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resp = await self._req(args, extra_body=extra_args)
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# print(resp)
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if resp is None:
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raise errors.RequesterError('接口返回为空，请确定模型提供商服务是否正常')
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# 处理请求结果
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message = await self._make_msg(resp, remove_think)
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return message
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