Yves Gugger
5a1fcb30dd
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53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
"""
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LLM artifacts / cache.
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Stores strict-JSON outputs from our internal LLM gateway for:
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- Vision (business concept + buyer matchmaker)
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- Yield landing page configs
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Important:
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- Tier gating is enforced at the API layer; never expose artifacts to Scout users.
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"""
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from __future__ import annotations
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import DateTime, Index, Integer, String, Text, ForeignKey
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from sqlalchemy.orm import Mapped, mapped_column
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from app.database import Base
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class LLMArtifact(Base):
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__tablename__ = "llm_artifacts"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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# Optional: who generated it (for auditing). Not used for access control.
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user_id: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"), nullable=True, index=True)
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# What this artifact represents.
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# Examples: "vision_v1", "yield_landing_v1"
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kind: Mapped[str] = mapped_column(String(50), nullable=False, index=True)
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# Domain this artifact belongs to (lowercase).
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domain: Mapped[str] = mapped_column(String(255), nullable=False, index=True)
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# Prompt/versioning for safe cache invalidation
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prompt_version: Mapped[str] = mapped_column(String(50), nullable=False, index=True)
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model: Mapped[str] = mapped_column(String(100), nullable=False)
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# Strict JSON payload (string)
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payload_json: Mapped[str] = mapped_column(Text, nullable=False)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, index=True)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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expires_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True, index=True)
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__table_args__ = (
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Index("ix_llm_artifacts_kind_domain_prompt", "kind", "domain", "prompt_version"),
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)
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