Enhance debug panel with API call tracking and add session state fields for tracking Ollama/HF calls

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import time
 import os
 import sys
+from datetime import datetime
 from pathlib import Path
 sys.path.append(str(Path(__file__).parent))
 
@@ -17,6 +18,18 @@ if "messages" not in st.session_state:
     st.session_state.messages = []
 if "last_error" not in st.session_state:
     st.session_state.last_error = ""
+if "last_ollama_call_success" not in st.session_state:
+    st.session_state.last_ollama_call_success = None
+if "last_ollama_call_time" not in st.session_state:
+    st.session_state.last_ollama_call_time = ""
+if "last_ollama_response_preview" not in st.session_state:
+    st.session_state.last_ollama_response_preview = ""
+if "last_hf_call_success" not in st.session_state:
+    st.session_state.last_hf_call_success = None
+if "last_hf_call_time" not in st.session_state:
+    st.session_state.last_hf_call_time = ""
+if "last_hf_response_preview" not in st.session_state:
+    st.session_state.last_hf_response_preview = ""
 
 # Sidebar
 with st.sidebar:
@@ -61,6 +74,28 @@ with st.sidebar:
         st.write(f"**HF Token Set**: {'✅ Yes' if config.hf_token else '❌ No'}")
         if st.session_state.last_error:
             st.warning(f"Last Error: {st.session_state.last_error}")
+        
+        # Ollama API Call Tracking
+        if st.session_state.last_ollama_call_success is not None:
+            status_icon = "✅ Success" if st.session_state.last_ollama_call_success else "❌ Failed"
+            st.write(f"**Last Ollama Call**: {status_icon}")
+            st.write(f"**At**: {st.session_state.last_ollama_call_time}")
+            if st.session_state.last_ollama_response_preview:
+                st.code(st.session_state.last_ollama_response_preview[:200] + ("..." if len(st.session_state.last_ollama_response_preview) > 200 else ""), language="text")
+        
+        # Hugging Face API Call Tracking
+        if st.session_state.last_hf_call_success is not None:
+            status_icon = "✅ Success" if st.session_state.last_hf_call_success else "❌ Failed"
+            st.write(f"**Last HF Call**: {status_icon}")
+            st.write(f"**At**: {st.session_state.last_hf_call_time}")
+            if st.session_state.last_hf_response_preview:
+                st.code(st.session_state.last_hf_response_preview[:200] + ("..." if len(st.session_state.last_hf_response_preview) > 200 else ""), language="text")
+        
+        # Manual Refresh Button
+        if st.button("🔄 Refresh Ollama Status"):
+            from services.ollama_monitor import check_ollama_status
+            status = check_ollama_status()
+            st.toast(f"Ollama Status: {'Running' if status['running'] else 'Unavailable'}", icon="📡")
 
 # Main chat interface
 st.title("🧠 AI Life Coach")
@@ -118,16 +153,34 @@ if send_button and user_input.strip():
                         st.session_state.selected_model
                     )
                     backend_used = "Ollama"
+                    
+                    # Capture success metadata
+                    st.session_state.last_ollama_call_success = True
+                    st.session_state.last_ollama_call_time = str(datetime.utcnow())
+                    st.session_state.last_ollama_response_preview = ai_response[:200] if ai_response else ""
                 except Exception as e:
                     error_msg = f"Ollama error: {str(e)}"
+                    # Capture failure metadata
+                    st.session_state.last_ollama_call_success = False
+                    st.session_state.last_ollama_call_time = str(datetime.utcnow())
+                    st.session_state.last_ollama_response_preview = str(e)[:200]
             
             # Fallback to Hugging Face
             if not ai_response and config.hf_token:
                 try:
                     ai_response = send_to_hf(user_input, conversation_history)
                     backend_used = "Hugging Face"
+                    
+                    # Capture success metadata
+                    st.session_state.last_hf_call_success = True
+                    st.session_state.last_hf_call_time = str(datetime.utcnow())
+                    st.session_state.last_hf_response_preview = ai_response[:200] if ai_response else ""
                 except Exception as e:
                     error_msg = f"Hugging Face error: {str(e)}"
+                    # Capture failure metadata
+                    st.session_state.last_hf_call_success = False
+                    st.session_state.last_hf_call_time = str(datetime.utcnow())
+                    st.session_state.last_hf_response_preview = str(e)[:200]
             
             if ai_response:
                 st.markdown(f"{ai_response}")
@@ -136,7 +189,7 @@ if send_button and user_input.strip():
                 conversation.append({"role": "user", "content": user_input})
                 conversation.append({"role": "assistant", "content": ai_response})
                 
-                # Update session
+                # Update session using the correct method
                 user_session["conversation"] = conversation
                 session_manager.update_session("default_user", user_session)