Add print statements for debugging with Gemma 3

app.py

@@ -22,14 +22,10 @@ load_dotenv(dotenv_path=".env", override=True)
 
 # Download model snapshots from Hugging Face Hub
 print(f"Downloading checkpoints for {model_id}...")
-ckpt_dir = snapshot_download(
-    model_id, local_dir_use_symlinks=False, token=os.getenv("HF_TOKEN")
-)
+ckpt_dir = snapshot_download(model_id, local_dir_use_symlinks=False)
 print(f"Using checkpoints from {ckpt_dir}")
 print(f"Downloading checkpoints for {embedding_model_id}...")
-embedding_ckpt_dir = snapshot_download(
-    embedding_model_id, local_dir_use_symlinks=False, token=os.getenv("HF_TOKEN")
-)
+embedding_ckpt_dir = snapshot_download(embedding_model_id, local_dir_use_symlinks=False)
 print(f"Using embedding checkpoints from {embedding_ckpt_dir}")
 
 # Download and extract data if data directory is not present

mods/tool_calling_llm.py

@@ -177,9 +177,9 @@ class ToolCallingLLM(BaseChatModel, ABC):
         # Extract <think>...</think> content and text after </think> for further processing 20250726 jmd
         think_text, post_think = extract_think(response_message.content)
 
-        ## For debugging
-        # print("post_think")
-        # print(post_think)
+        # For debugging
+        print("post_think")
+        print(post_think)
 
         # Remove trailing comma (if there is one)
         post_think = post_think.rstrip(",")
@@ -197,8 +197,8 @@ class ToolCallingLLM(BaseChatModel, ABC):
                 # Return entire response if JSON wasn't parsed or is missing
                 return AIMessage(content=response_message.content)
 
-        # print("parsed_json_results")
-        # print(parsed_json_results)
+        print("parsed_json_results")
+        print(parsed_json_results)
 
         tool_calls = []
         for parsed_json_result in parsed_json_results: