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https://github.com/lrnselfreliance/wrolpi.git
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f86058ee8a
Tool definitions are generated in-process from the /api/ai blueprint's own OpenAPI operations (operationId = tool name, description = tool description, dataclass bodies + declared parameters = one flat JSON schema) — the spec IS the catalog, nothing to drift. Manage endpoints never become tools. A mode is a server-enforced system prompt + tool allowlist (Help / Research / System per ai.md); the executor can only reach allowlisted /api/ai endpoints, path parameters are encoded and traversal-rejected so a crafted argument cannot escape an endpoint. POST /api/chat streams SSE (status/token/tool_call/tool_result/done/ error), starts llama-server on demand, validates tool args server-side with instructive errors the model can retry on, caps tool results with a paging hint, and bounds the loop by ai.yaml max_tool_calls plus a hard timeout. Caddy passes the stream unbuffered (flush_interval -1) in both deployments. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
76 lines
1.7 KiB
Python
76 lines
1.7 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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