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https://github.com/lrnselfreliance/wrolpi.git
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d77eaa9ecd
Lean, flat, LLM-shaped read-only endpoints over the library: global, video, archive, and doc search; paged captions, archive text, and zim entries; collections, inventories, and a media-directory text reader. Links are server-computed; big content is paged, never truncated. This ports the formatting layer from wrolpi_mcp (untouched for now) into tested code. First phase of ai.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
62 lines
1.3 KiB
Python
62 lines
1.3 KiB
Python
import dataclasses
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from typing import Optional
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@dataclasses.dataclass
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class AISearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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offset: int = 0
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mimetypes: Optional[list] = None
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tag_names: Optional[list] = None
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@dataclasses.dataclass
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class AIVideoSearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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offset: int = 0
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channel_id: Optional[int] = None
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tag_names: Optional[list] = None
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@dataclasses.dataclass
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class AIArchiveSearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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offset: int = 0
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domain: Optional[str] = None
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tag_names: Optional[list] = None
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@dataclasses.dataclass
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class AIDocSearchRequest:
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search_str: Optional[str] = None
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author: Optional[str] = None
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subject: Optional[str] = None
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language: Optional[str] = None
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mimetype: Optional[str] = None
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limit: int = 5
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offset: int = 0
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tag_names: Optional[list] = None
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@dataclasses.dataclass
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class AIZimSearchRequest:
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search_str: Optional[str] = None
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zim_id: Optional[int] = None
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limit: int = 5
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offset: int = 0
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@dataclasses.dataclass
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class AISearchResponse:
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results: list = dataclasses.field(default_factory=list)
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total: int = 0
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@dataclasses.dataclass
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class AIPagedTextResponse:
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content: str = ''
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next_offset: Optional[int] = None
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total_chars: int = 0
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