e3ca3b3d28
feat(B-LLM): Zentraler LLM Client — llm_complete() + llm_embed() + Migration + Tests + Doku
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B-LLM: llm_client.py um generische llm_complete() und llm_embed() erweitert
- Provider-Auswahl, API-Key-Auflösung, Error-Handling, Cost-Tracking
- Retry mit Exponential-Backoff für transient errors
- Timeout konfigurierbar
- Helper: get_api_credentials(), build_model(), _classify_error()
B-LLM-MIG: Alle 8 direkten litellm.acompletion() Calls auf llm_complete() umgestellt
- agent_runner.py, query_understanding.py (2x), ai_proactive (3x), ai_assistant (2x)
- 0 verbleibende direkte litellm.acompletion() Calls außerhalb llm_client.py
B-LLM-TEST: 39 Tests in test_llm_client.py — alle grün
- Mock mode, error handling, embed, helpers, backward compat
B-LLM-DOC: Plugin-Dev-Guide Kapitel 7 (LLM Integration) hinzugefügt
2026-08-13 16:22:05 +02:00
727d86614e
Security fixes: P0-P2 complete (22 fixes)
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P0 (7): Auth-bypass removed, migrations fixed, plugin-upload disabled, RLS FORCE+WITH CHECK, plugin double-registration fixed, persistent volume, domain removed
P1 (11): User/tenant model, Redis centralized, worker separated, transactional outbox, XSS fixed, DMS chunked streaming, permissions unified, password reset, metrics secured, config/docs fixed, cross-tenant FK
P2 (4): Contact model normalized, cross-imports reduced 94%, commands+state machines for contacts/dms/mail/calendar, SPA path-traversal
8 new migrations, 99 unit tests, 13 commands, 8 contracts, 72 files changed
2026-07-25 21:03:46 +02:00
b15a62bec6
Phase 1A: Remove company routes/services/models/schemas, unify to Contact
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- Removed: app/routes/companies.py, app/services/company_service.py, app/models/company.py, app/schemas/company.py
- Updated: main.py, routes/__init__.py, models/__init__.py (removed company imports)
- Updated: action_mapper.py (company intents → contact intents, /api/v1/companies → /api/v1/contacts)
- Updated: workflows/engine.py (company.created → contact.created)
- Updated: worker.py (removed index_company)
- Updated: roles.py, permission_registry.py, permissions.py, deps.py (companies: → contacts:)
- Updated: permission_registry.py CORE_FIELD_DEFINITIONS (old field names → unified contact fields)
- Updated: address model/schema/service (entity_type company → contact only)
- Updated: ai_copilot_service.py (_exec_companies removed, _exec_contacts extended)
- Updated: ai_proactive services/jobs/context_tools (Company → Contact, company_contacts → contact_persons)
- Updated: unified_search jobs.py (removed index_company), query_understanding.py
- Updated: calendar/models.py, addresses.py docstrings
- Updated: conftest.py (Company → Contact, removed companies/company_contacts from TRUNCATE)
- Updated: test_unified_search.py (index_company → index_contact)
2026-07-23 17:29:53 +02:00
5c3fc027bc
fix: strip markdown code fences from LLM responses before json.loads
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- glm-5.2 returns JSON wrapped in ```json ... ``` code fences
- Added fence stripping in services.py, query_understanding.py, jobs.py
2026-07-19 02:30:07 +02:00
4a43745b50
fix: unified_search + ai_proactive get API key from DB, fix model names for Ollama Cloud
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- query_understanding.py: get API key/base_url/provider_type from ai_providers DB
- embedding.py: get API key from DB, pass db+tenant_id through call chain
- routes.py: pass db+tenant_id to llm_analyze_query and llm_aggregate_results
- search_engine.py: pass db+tenant_id to generate_embedding
- unified_search/jobs.py: pass db+tenant_id to generate_embedding
- Fix all default model names: ollama/deepseek-v4 -> ollama/deepseek-v4-flash
- Ollama Cloud has no embedding endpoint; embedding calls fail gracefully
2026-07-19 02:22:25 +02:00
8cebb4f4e9
feat: unified_search + ai_proactive plugins with Ollama Cloud DeepSeek V4
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- 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
Agent Zero