- Implement a central reverse proxy (Nginx) with Basic Auth on port 8090.
- Create a unified landing page (dashboard) to access B2B Assistant and Market Intelligence.
- Update frontends with relative API paths and base paths for subdirectory routing (/b2b/, /market/).
- Optimize Docker builds with .dockerignore and a Python-based image for market-backend.
- Enable code sideloading for Python logic via Docker volumes.
- Fix TypeScript errors in general-market-intelligence regarding ImportMeta.
- Added Dockerfile and nginx.conf for frontend production build.
- Added docker-compose.yml to orchestrate backend and frontend.
- Updated geminiService.ts to support relative API paths via Nginx proxy.
- Updated documentation with deployment instructions for Synology/Docker.
- Implementierung der rollenbasierten Campaign-Engine mit operativem Fokus (Grit).
- Integration von Social Proof (Referenzkunden) in die E-Mail-Generierung.
- Erweiterung des Deep Tech Audits um gezielte Wettbewerber-Recherche (Technographic Search).
- Fix des Lösch-Bugs in der Target-Liste und Optimierung des Frontend-States.
- Erweiterung des Markdown-Exports um transparente Proof-Links und Evidenz.
- Aktualisierung der Dokumentation in readme.md und market_intel_backend_plan.md.
- Integrated ICP-based lookalike sourcing.
- Implemented Deep Tech Audit with automated evidence collection.
- Enhanced processing terminal with real-time logs.
- Refined daily logging and resolved all dependency issues.
- Documented final status and next steps.
- Refactored market_intel_orchestrator.py for direct Gemini API (v1) calls.\n- Updated model to gemini-2.5-pro for enhanced capabilities.\n- Implemented minimal stdout logging for improved traceability within Docker.\n- Optimized Dockerfile and introduced market-intel.requirements.txt for leaner, faster builds.\n- Ensured end-to-end communication from React frontend through Node.js bridge to Python backend is fully functional.
Behebt den TypeError beim Aufruf von GenerationConfig in der älteren Version der google-generativeai Bibliothek, indem das nicht unterstützte Argument entfernt wird.
