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cfce0a1224
Small models carry every tool definition on every request, and the
per-kind trios (four searches, three getters, three readers) cost a
quarter of an 8k context while giving the model near-duplicate choices.
Three generic endpoints replace them:
- POST files/search: one search over videos, archives, and docs with an
optional kind; channel (name or id), domain, author, subject each
imply their kind and are ignored for other kinds. When the term also
names channels/domains/authors, they are returned as `matches` so the
model can narrow without a second tool. Channels resolve by name, so
the library map already in the prompt is enough: no list call first.
- GET files/{id}: detail by id whatever the kind; videos now report
has_captions/has_comments and the full description, archives keep
their snapshot history.
- GET files/{id}/content?part=text|comments: captions, page text, or
comments, paged; a wrong part for the kind says what the file is.
Inventories take an optional slug on GET /inventories (one tool lists
and fetches). Listings are slimmed: no derivable captions/text links,
no size/mimetype, duration as H:MM:SS, published as a date. The
library map gains the tag names.
wrolpi_mcp keeps every existing tool name; the wrappers now call the
generic routes, and search_files/get_file/read_content are exposed too.
The old per-kind endpoints remain until the modes switch over.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
104 lines
2.4 KiB
Python
104 lines
2.4 KiB
Python
import dataclasses
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from typing import List, 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[str]] = None
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tag_names: Optional[List[str]] = 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[str]] = 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[str]] = 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[str]] = 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 AIHelpSearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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@dataclasses.dataclass
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class AIManageSettingsRequest:
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enabled: Optional[bool] = None
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active_model: Optional[str] = None
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idle_unload_minutes: Optional[int] = None
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context_size: Optional[int] = None
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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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@dataclasses.dataclass
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class AIListFilesResponse:
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path: str = ''
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directories: list = dataclasses.field(default_factory=list)
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files: list = dataclasses.field(default_factory=list)
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total: int = 0
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next_offset: Optional[int] = None
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@dataclasses.dataclass
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class AISearchSuggestionsRequest:
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search_str: Optional[str] = None
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tag_names: List[str] = dataclasses.field(default_factory=list)
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@dataclasses.dataclass
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class AIFileSearchRequest:
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search_str: Optional[str] = None
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kind: Optional[str] = None
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channel: Optional[str] = None
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domain: Optional[str] = None
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author: Optional[str] = None
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subject: Optional[str] = None
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tag_names: Optional[List[str]] = None
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limit: int = 5
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offset: int = 0
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