updated model_selector to choose model based on runtime/env to create agents

src/config/model_selector.py

@@ -0,0 +1,21 @@
+from src.utils.runtime_selector import detect_runtime_environment
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
+#Placeholders
+MODEL_MAP = {
+    "gpu": "gemini-2.5-pro-exp-03-25",
+    "cpu-local": "gemini-2.0-flash",     
+    "cloud-only": "gemini-2.0-flash"
+}
+def choose_best_model():
+    runtime_env = detect_runtime_environment()
+    print(f"[DEBUG] Runtime env: {runtime_env}")
+    print(f"[DEBUG] API key exists: {'Yes' if os.environ.get('GEMINI_KEY') else 'No'}")
+    if runtime_env == "cpu-local":
+        if os.environ.get("GEMINI_KEY"):
+            return "gemini-2.0-flash"
+        else:
+            print("[WARN] No GEMINI_KEY set, falling back to llama3.2.")
+            return "llama3.2"