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dc24c37c19810bcbe0d14101f6cd81b069e74935
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6 Commits

Author SHA1 Message Date
Agent Zero 5db7364071 fix: increase max_tokens for LLM suggestions to prevent truncated JSON 2026-07-19 02:32:39 +02:00
Agent Zero 5c3fc027bc fix: strip markdown code fences from LLM responses before json.loads 
- 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
Agent Zero 4a43745b50 fix: unified_search + ai_proactive get API key from DB, fix model names for Ollama Cloud 
- 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
Agent Zero ef4f0cc494 fix: use provider_type for model prefix and base_url for Ollama Cloud 
- _get_llm_api_key now returns provider_type
- Model string built with provider_type prefix (openai/deepseek-v4 instead of ollama/deepseek-v4)
- api_base set from provider.base_url (https://ollama.com/v1)
- Fixes: litellm tried localhost:11434 instead of Ollama Cloud
 2026-07-19 01:51:14 +02:00
Agent Zero 7f8344bc24 fix: get LLM API key from DB instead of env var 
- ai_proactive now reads API key from ai_providers table (like ai_assistant)
- Falls back to API_KEY_OLLAMA_CLOUD env var if no provider found
- Fixes: proactive engine could not generate suggestions because API key was empty
 2026-07-19 01:36:16 +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