forked from hesabix/arc
49 lines
2.2 KiB
Python
49 lines
2.2 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import String, Integer, DateTime, Text, Numeric, Boolean, UniqueConstraint
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from sqlalchemy.orm import Mapped, mapped_column
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from adapters.db.session import Base
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class AIModel(Base):
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"""کاتالوگ مدلهای هوش مصنوعی قابل ارائه به کاربران."""
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__tablename__ = "ai_models"
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__table_args__ = (
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UniqueConstraint("code", name="uq_ai_models_code"),
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)
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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code: Mapped[str] = mapped_column(String(80), nullable=False, unique=True, index=True)
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display_name: Mapped[str] = mapped_column(String(255), nullable=False)
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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provider: Mapped[str] = mapped_column(String(50), nullable=False, default="openai")
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model_id: Mapped[str] = mapped_column(String(120), nullable=False)
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tier: Mapped[str | None] = mapped_column(String(50), nullable=True)
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supports_tools: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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max_tokens_default: Mapped[int] = mapped_column(Integer, nullable=False, default=4000)
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# مدل از استدلال درونمدلی (reasoning/thinking) پشتیبانی میکند؟
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supports_reasoning: Mapped[bool] = mapped_column(
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Boolean, nullable=False, default=False
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)
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# سطح پیشفرض تلاش استدلال: minimal | low | medium | high (یا None = خودکار)
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reasoning_effort: Mapped[str | None] = mapped_column(String(20), nullable=True)
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reference_input_cost_per_1k: Mapped[float | None] = mapped_column(Numeric(18, 4), nullable=True)
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reference_output_cost_per_1k: Mapped[float | None] = mapped_column(Numeric(18, 4), nullable=True)
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is_active: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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sort_order: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False
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)
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