54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
from pydantic import BaseModel, Field
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from typing import Optional
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from uuid import UUID
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from enum import Enum
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class OptimizationStrategy(str, Enum):
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"""优化策略枚举"""
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SPEED_FIRST = "speed_first"
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ACCURACY_FIRST = "accuracy_first"
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BALANCED = "balanced"
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class Memory_Reflection(BaseModel):
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config_id: Optional[UUID] = None
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reflection_enabled: bool
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reflection_period_in_hours: str
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reflexion_range: Optional[str] = "partial"
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baseline: Optional[str] = "TIME"
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reflection_model_id: str
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memory_verify: bool
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quality_assessment: bool
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# 新增快速引擎优化参数
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optimization_strategy: Optional[OptimizationStrategy] = OptimizationStrategy.BALANCED
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use_fast_model: Optional[bool] = True
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enable_caching: Optional[bool] = True
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enable_streaming: Optional[bool] = True
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batch_size: Optional[int] = Field(default=3, ge=1, le=10)
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max_concurrent: Optional[int] = Field(default=5, ge=1, le=20)
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class Config:
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use_enum_values = True
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class FastReflectionRequest(BaseModel):
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"""快速反思请求模型"""
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reflection: Memory_Reflection
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host_id: Optional[str] = "88a459f5_text02"
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optimization_strategy: Optional[OptimizationStrategy] = OptimizationStrategy.BALANCED
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class Config:
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use_enum_values = True
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class ReflectionBenchmarkRequest(BaseModel):
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"""反思基准测试请求模型"""
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reflection: Memory_Reflection
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host_id: Optional[str] = "88a459f5_text02"
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iterations: Optional[int] = Field(default=3, ge=1, le=10)
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class Config:
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use_enum_values = True
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