feat: enhance AIPlanner with loading spinner during Ollama requests and update print statements for clarity

main.py

@@ -15,7 +15,7 @@ import json
 from factorio_rcon         import FactorioRCON
 from state_reader          import StateReader
 from context_compressor    import ContextCompressor
-from ai_planner            import AIPlanner
+from ai_planner            import AIPlanner, OLLAMA_MODEL, OLLAMA_HOST
 from action_executor       import ActionExecutor
 from agent_last_action_memory import save_last_action_memory, load_last_action_memory
 from ore_patch_memory import load_ore_patch_memory, compute_distance_sq
@@ -137,8 +137,8 @@ def run():
     print("=" * 60)
     print("  팩토리오 순수 AI 에이전트 (치트 없음)")
     print("  - 실제 걷기 / 실제 채굴 / 실제 제작 / 건설 거리 제한")
-    print(f"  - LLM: Ollama {os.environ.get('OLLAMA_MODEL', 'qwen3:14b')}")
-    print(f"  - Ollama host: {os.environ.get('OLLAMA_HOST', 'http://192.168.50.67:11434')}")
+    print(f"  - LLM: Ollama {OLLAMA_MODEL}")
+    print(f"  - Ollama host: {OLLAMA_HOST}")
     print("=" * 60)
 
     with FactorioRCON(RCON_HOST, RCON_PORT, RCON_PASSWORD) as rcon: