Add FastMCP tool for web scrapping.

Add logging info for tools calling

app.py

@@ -4,7 +4,7 @@ from shared_config import AgenticAIConfig, create_logger, logger
 import streamlit as st
 from dotenv import load_dotenv
 from agent_workflows.orchestration import runAgenticWorkflow
-from utilities.pdf_tools import export_to_pdf
+from utilities.pdf_tools_v2 import export_to_pdf
 from datetime import datetime
 
 
@@ -37,7 +37,7 @@ if "chat_history" not in st.session_state:
 #llm_model = "gpt-5.5"  #Output~ 30 US$ / 1M tokens
 MODEL_REGISTRY={
     "OpenAI":["gpt-4o-mini","gpt-5.4-nano","gpt-5-mini","gpt-4.1","gpt-4o","gpt-3.5-turbo"],
-    "Ollama":["llama3.1","gpt-oss:20b","gemma4:e4b","qwen2.5-coder:14b","mistral-small3.2"],
+    "Ollama":["gemma4:e4b","llama3.1","gpt-oss:20b","qwen2.5-coder:14b","mistral-small3.2"],
     }
 
 #7- Creating Sidebar
@@ -67,7 +67,7 @@ with st.sidebar:
     config.max_tokens=st.slider(
         "Max Tokens",
         min_value=100,
-        max_value=4000,
+        max_value=30000,
         value=config.max_tokens,
         step=100
     )
@@ -128,8 +128,8 @@ if st.button("Generate Response", type="primary"):
             formatted_DateTime = now.strftime("%Y-%m-%d_%H%M%S")
             pdfpath = f"""output/{pdf_fiename_prefix}_{formatted_DateTime}.pdf"""
             export_to_pdf(
-                inputText=config.response,
-                filename=pdfpath)
+                llm_response=config.response,
+                output_filename=pdfpath)
 
             logger.info("PDF Exported Successfully at: "+pdfpath)