Add language assistant settings and related features: Introduce new routes and controller methods for managing language assistant settings, including retrieval and saving of LLM configurations. Update navigation structure to include language assistant options. Enhance vocab course model to support additional learning attributes such as learning goals and core patterns. Update SQL scripts to reflect new database schema changes for vocab courses. Improve localization for language assistant settings in German and English.

mcp/language-course-server/.env.example

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+# Kopiere nach .env und trage echte Werte ein (.env nicht committen).
+
+# Pflicht für LLM-Tools (ein Key reicht)
+LANGUAGE_COURSE_LLM_API_KEY=
+# Alternativ:
+# OPENAI_API_KEY=
+
+# Optional: anderes Modell
+# LANGUAGE_COURSE_LLM_MODEL=gpt-4o-mini
+
+# Optional: OpenAI-kompatibler Endpunkt
+# OpenAI-Default wird verwendet, wenn leer.
+# LANGUAGE_COURSE_LLM_BASE_URL=https://api.openai.com/v1
+
+# Lokal z. B. Ollama (OpenAI-kompatibel):
+# LANGUAGE_COURSE_LLM_BASE_URL=http://127.0.0.1:11434/v1
+# LANGUAGE_COURSE_LLM_MODEL=llama3.2
+# Ollama erwartet oft einen Dummy-Key:
+# LANGUAGE_COURSE_LLM_API_KEY=ollama
+
+# Glossar-Daten (optional)
+# LANGUAGE_COURSE_MCP_DATA=/absoluter/pfad/zu/data