debug: add LLM logging and model fallbacks

backend/app/config.py

@@ -17,3 +17,10 @@ class Settings(BaseSettings):
 
 
 settings = Settings()
+
+# Debug: Verify keys are loaded (Masked)
+print("--- ENVIRONMENT CONFIG CHECK ---")
+print(f"GEMINI_API_KEY: {'LOADED' if settings.gemini_api_key else 'MISSING'}")
+print(f"GROQ_API_KEY: {'LOADED' if settings.groq_api_key else 'MISSING'}")
+print(f"FEATHERLESS_API_KEY: {'LOADED' if settings.featherless_api_key else 'MISSING'}")
+print("--------------------------------")

backend/app/services/llm.py

@@ -110,16 +110,31 @@ async def call_gemini_with_model(prompt: str, model_name: str | None = None, is_
     }
 
     model_id = model_map.get(model_name, "gemini")
+    print(f"DEBUG: Calling LLM with model_name='{model_name}' -> model_id='{model_id}'")
+    
+    # Check keys
+    if model_id.startswith("groq:") and not settings.groq_api_key:
+        print("DEBUG WARNING: GROQ_API_KEY is missing! Falling back to Gemini.")
+        model_id = "gemini"
     
     if model_id == "gemini":
         res = await call_gemini(prompt, is_json=is_json)
         if not res and settings.groq_api_key:
+            print("DEBUG: Gemini failed or returned empty. Trying Groq fallback.")
             return await call_groq(prompt, "llama-3.3-70b-versatile")
         return res
     elif model_id.startswith("groq:"):
-        return await call_groq(prompt, model=model_id[5:])
+        res = await call_groq(prompt, model=model_id[5:])
+        if not res and settings.gemini_api_key:
+            print("DEBUG: Groq failed or returned empty. Trying Gemini fallback.")
+            return await call_gemini(prompt, is_json=is_json)
+        return res
     else:
-        return await call_featherless(prompt, model=model_id)
+        res = await call_featherless(prompt, model=model_id)
+        if not res and settings.groq_api_key:
+            print("DEBUG: Featherless failed. Trying Groq fallback.")
+            return await call_groq(prompt, "llama-3.3-70b-versatile")
+        return res
 
 def _parse_gemini_response(output: str) -> dict | None:
     if not output: