Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
from __future__ import annotations
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from datetime import datetime, timezone
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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SkillStatus = Literal["candidate", "shadow", "active", "deprecated", "retired"]
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SkillInjectionMode = Literal["metadata_only", "summary", "full"]
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class SkillShortlistEntry(BaseModel):
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skill_name: str
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source: str = "runtime"
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source_id: str | None = None
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status: SkillStatus = "active"
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scope: list[str] = Field(default_factory=list)
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effectiveness: float | None = None
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score: float = 0.0
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rationale: str | None = None
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summary: str | None = None
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matched_terms: list[str] = Field(default_factory=list)
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injection_mode: SkillInjectionMode = "metadata_only"
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metadata: dict[str, Any] = Field(default_factory=dict)
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class SkillActivationRecord(BaseModel):
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skill_name: str
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source: str = "runtime"
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source_id: str | None = None
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status: SkillStatus = "active"
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injection_mode: SkillInjectionMode = "metadata_only"
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matched_terms: list[str] = Field(default_factory=list)
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rationale: str | None = None
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activated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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outcome: str | None = None
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metadata: dict[str, Any] = Field(default_factory=dict)
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