leocrm

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Commit Graph

Author	SHA1	Message	Date
Agent Zero	7b4a2c0791	fix: embedding migration, worker error handling, path traversal security, response mismatches (unread-count, plugins, manifests), frontend type safety	2026-07-24 14:23:28 +02:00
Agent Zero	eaa71780d4	fix: add missing deleted_at columns to all plugin tables, fix system-settings response schema, fix transaction rollback in permissions	2026-07-24 10:34:38 +02:00
Agent Zero	8cebb4f4e9	feat: unified_search + ai_proactive plugins with Ollama Cloud DeepSeek V4 - 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	2026-07-18 11:21:51 +02:00

Author

SHA1

Message

Date

Agent Zero

7b4a2c0791

fix: embedding migration, worker error handling, path traversal security, response mismatches (unread-count, plugins, manifests), frontend type safety

2026-07-24 14:23:28 +02:00

Agent Zero

eaa71780d4

fix: add missing deleted_at columns to all plugin tables, fix system-settings response schema, fix transaction rollback in permissions

2026-07-24 10:34:38 +02:00

Agent Zero

8cebb4f4e9

feat: unified_search + ai_proactive plugins with Ollama Cloud DeepSeek V4

- 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

2026-07-18 11:21:51 +02:00

3 Commits