b8f1095f53
1. Add the "Skills" module; 2. The loading of the model square has been modified to be controlled through environment variables; 3. Dynamic scheduling of the skill binding tool; 4. Agent Integration Skills
58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
"""Skill Schema 定义"""
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from typing import Optional, List, Dict, Any
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from pydantic import BaseModel, Field, field_serializer
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import uuid
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from datetime import datetime
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class SkillBase(BaseModel):
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"""Skill 基础 Schema"""
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name: str = Field(..., description="技能名称")
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description: Optional[str] = Field(None, description="技能描述")
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tools: List[Dict[str, str]] = Field(default_factory=list, description="工具对象列表: [{\"tool_id\": \"xxx\", \"operation\": \"yyy\"}]")
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config: Dict[str, Any] = Field(default_factory=dict, description="技能配置")
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prompt: Optional[str] = Field(None, description="技能专属提示词")
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is_active: bool = Field(True, description="是否激活")
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is_public: bool = Field(False, description="是否公开到市场")
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class SkillCreate(SkillBase):
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"""创建 Skill"""
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pass
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class SkillUpdate(BaseModel):
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"""更新 Skill"""
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name: Optional[str] = None
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description: Optional[str] = None
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tools: Optional[List[Dict[str, str]]] = None
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config: Optional[Dict[str, Any]] = None
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prompt: Optional[str] = None
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is_active: Optional[bool] = None
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is_public: Optional[bool] = None
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class Skill(SkillBase):
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"""Skill 响应 Schema"""
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id: uuid.UUID
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tenant_id: uuid.UUID
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created_at: datetime
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updated_at: datetime
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@field_serializer('created_at', 'updated_at')
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def serialize_datetime_to_timestamp(self, value: datetime) -> int:
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"""（毫秒级）时间戳"""
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return int(value.timestamp() * 1000)
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class Config:
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from_attributes = True
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class SkillQuery(BaseModel):
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"""Skill 查询参数"""
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search: Optional[str] = None
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is_active: Optional[bool] = None
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is_public: Optional[bool] = None
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page: int = Field(1, ge=1)
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pagesize: int = Field(10, ge=1, le=100)
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