Lukas Parsons
7f7699ff94
- FastAPI backend with SQLite (ai.db) - Tables: skills, snippets, conventions, cache, memory - MCP servers: homelab, gameservers, skills - Docker Compose setup - Seed data with 8 skills, 2 conventions, 2 snippets - Token savings patterns via context bundles and caching
99 lines
1.7 KiB
Python
99 lines
1.7 KiB
Python
from pydantic import BaseModel
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from datetime import datetime
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from typing import Optional, List
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class SkillBase(BaseModel):
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id: str
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name: str
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description: Optional[str] = None
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category: Optional[str] = None
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content: str
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tags: Optional[List[str]] = None
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class Skill(SkillBase):
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created_at: datetime
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updated_at: datetime
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usage_count: int
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class Config:
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from_attributes = True
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class SnippetBase(BaseModel):
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id: str
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name: str
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language: Optional[str] = None
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content: str
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category: Optional[str] = None
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tags: Optional[List[str]] = None
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class Snippet(SnippetBase):
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created_at: datetime
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class Config:
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from_attributes = True
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class ConventionBase(BaseModel):
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id: str
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project_path: Optional[str] = None
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name: str
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content: str
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auto_inject: bool = False
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class Convention(ConventionBase):
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created_at: datetime
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class Config:
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from_attributes = True
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class CacheBase(BaseModel):
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hash: str
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response: str
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model: Optional[str] = None
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tokens_in: Optional[int] = None
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tokens_out: Optional[int] = None
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expires_at: Optional[datetime] = None
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class CacheStore(CacheBase):
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pass
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class Cache(CacheBase):
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created_at: datetime
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class Config:
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from_attributes = True
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class MemoryBase(BaseModel):
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id: str
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project: str
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key: str
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content: str
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class Memory(MemoryBase):
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class ContextBundle(BaseModel):
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skills: List[Skill]
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snippets: List[Snippet]
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conventions: List[Convention]
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memories: List[Memory]
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class CacheLookup(BaseModel):
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prompt: str
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model: Optional[str] = None
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