zk
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
"""LLM 模型枚举与实例获取
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Usage:
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from app.ai.models import LLM
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llm = LLM.DOUBAO_PRO_256K.create(temperature=0)
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llm = LLM.DEEPSEEK_V3.create()
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"""
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from enum import Enum
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from langchain_openai import ChatOpenAI
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from app.config import settings
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# 供应商连接配置
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_VOLCENGINE = (lambda: settings.volcengine_api_key, lambda: settings.volcengine_base_url)
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_ZM = (lambda: settings.zm_api_key, lambda: settings.zm_base_url)
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class LLM(Enum):
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"""所有可用模型，每个枚举值 = (模型名, api_key函数, base_url函数)"""
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# 火山引擎
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DOUBAO_PRO_32K = ("doubao-1-5-pro-32k-250115", *_VOLCENGINE)
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DOUBAO_LITE_32K = ("doubao-1-5-lite-32k-250115", *_VOLCENGINE)
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DEEPSEEK_V4_FLASH = ("deepseek-v4-flash-260425", *_VOLCENGINE)
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DEEPSEEK_V4_PRO = ("deepseek-v4-pro-260425", *_VOLCENGINE)
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DOUBAO_SEED_MINI = ("doubao-seed-2-0-mini-260215", *_VOLCENGINE)
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DOUBAO_SEED_LITE = ("doubao-seed-2-0-lite-260215", *_VOLCENGINE)
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DOUBAO_SEED_PRO = ("doubao-seed-2-0-pro-260215", *_VOLCENGINE)
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# ZM
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ZM_GPT_5_5 = ("gpt-5.5", *_ZM)
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ZM_GPT_5_4 = ("gpt-5.4", *_ZM)
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ZM_GPT_5_4_MINI = ("gpt-5.4-mini", *_ZM)
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ZM_GPT_5_2 = ("gpt-5.2", *_ZM)
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def __init__(self, model_name: str, api_key_fn, base_url_fn):
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self.model_name = model_name
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self._api_key_fn = api_key_fn
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self._base_url_fn = base_url_fn
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def create(self, **kwargs) -> ChatOpenAI:
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"""创建 LLM 实例，kwargs 透传给 ChatOpenAI（temperature, max_tokens 等）"""
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return ChatOpenAI(
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model=self.model_name,
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api_key=self._api_key_fn(),
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base_url=self._base_url_fn(),
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**kwargs,
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)
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