Agent Zero
8cebb4f4e9
- unified_search: Hybride Suche (PostgreSQL FTS + pgvector + RRF Fusion) - 5 Search Providers (Contact, Company, Mail, File, Event) - KI Query Understanding (Fuzzy, Facetten via LiteLLM) - DMS Text-Extraction (PDF, DOCX, XLSX, PPTX) - Embedding Pipeline (ollama/nomic-embed-text, 768 Dim) - Background Jobs für Indexierung - Plugin-basierte Provider Registry - ai_proactive: Proaktiver KI-Agent - Context-Tracking (Frontend → Backend → Event Bus) - Proactive Engine mit LLM Suggestion-Generierung - SSE Real-time Push an Frontend - 6 AI Tools für Tool Registry - Rate-Limiting + User Settings - Deep Analysis Background Jobs - Frontend Integration: - useAIContext Hook, SuggestionSidebar, SuggestionBadge - ProactiveAISettings Page, Search API Client - Globale Suche auf neue API umgestellt - Tests: test_unified_search.py + test_ai_proactive.py (alle bestanden) - Config: Ollama Cloud DeepSeek V4 als Default, konfigurierbar - Dependencies: PyMuPDF, python-docx, python-pptx, pgvector - Bugfixes: notification type_key length, migration IF NOT EXISTS
72 lines
1.4 KiB
Python
72 lines
1.4 KiB
Python
"""Pydantic schemas for the Unified Search plugin."""
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from __future__ import annotations
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from typing import Any
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from pydantic import BaseModel, Field
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# ─── Search ───
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class SearchRequest(BaseModel):
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query: str = Field(..., min_length=1, max_length=500)
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entity_types: list[str] | None = None
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limit: int = Field(default=20, ge=1, le=100)
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offset: int = Field(default=0, ge=0)
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class SearchResult(BaseModel):
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entity_type: str
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entity_id: str
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title: str
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snippet: str
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score: float
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data: dict[str, Any] = Field(default_factory=dict)
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class SearchResponse(BaseModel):
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query: str
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normalized_query: str
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results: list[SearchResult]
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facets: dict[str, Any]
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summary: str
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suggestions: list[str]
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# ─── Similar ───
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class SimilarRequest(BaseModel):
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entity_type: str
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entity_id: str
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limit: int = Field(default=5, ge=1, le=50)
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class SimilarResponse(BaseModel):
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similar: dict[str, list[SearchResult]]
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# ─── Suggest ───
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class SuggestRequest(BaseModel):
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q: str = Field(..., min_length=1, max_length=200)
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limit: int = Field(default=10, ge=1, le=50)
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class SuggestResponse(BaseModel):
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suggestions: list[str]
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# ─── Reindex ───
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class ReindexRequest(BaseModel):
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entity_types: list[str] = Field(default_factory=list)
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# ─── Provider ───
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class ProviderResponse(BaseModel):
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entity_type: str
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plugin_name: str
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is_active: bool
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