mirror of
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56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
from __future__ import annotations
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from ....core import app
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from . import chatcmpl
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from .. import api, entities, errors
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from ....core import entities as core_entities, app
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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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@api.requester_class("moonshot-chat-completions")
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class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
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"""Moonshot ChatCompletion API 请求器"""
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def __init__(self, ap: app.Application):
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self.requester_cfg = ap.provider_cfg.data['requester']['moonshot-chat-completions']
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self.ap = ap
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async def _closure(
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self,
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req_messages: list[dict],
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use_model: entities.LLMModelInfo,
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use_funcs: list[tools_entities.LLMFunction] = None,
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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 = self.requester_cfg['args'].copy()
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args["model"] = use_model.name if use_model.model_name is None else use_model.model_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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# 删除空的
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messages = [m for m in messages if m["content"].strip() != ""]
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args["messages"] = messages
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# 发送请求
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resp = await self._req(args)
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# 处理请求结果
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message = await self._make_msg(resp)
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return message |