Add debug logging to troubleshoot connection error

app.py

@@ -1,26 +1,74 @@
 import os
+import sys
+import traceback
 import chainlit as cl
 from openai import OpenAI
 
+# Set up basic logging to stdout
+def log_message(message):
+    print(f"DEBUG: {message}", file=sys.stdout)
+    sys.stdout.flush()  # Ensure output is flushed immediately
+
+# Log startup information
+log_message("Application starting up")
+log_message(f"Python version: {sys.version}")
+
+# Check for API key
+api_key = os.environ.get("OPENAI_API_KEY")
+if api_key:
+    log_message("API key found (first few chars): " + api_key[:4] + "...")
+else:
+    log_message("WARNING: No API key found in environment")
+
 # Initialize the OpenAI client
-client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
+try:
+    client = OpenAI(api_key=api_key)
+    log_message("OpenAI client initialized successfully")
+except Exception as e:
+    log_message(f"Error initializing OpenAI client: {str(e)}")
+    traceback.print_exc()
+
+@cl.on_chat_start
+async def start():
+    log_message("New chat session started")
+    if not api_key:
+        await cl.Message(content="⚠️ API key not found. Please add OPENAI_API_KEY secret.").send()
 
 @cl.on_message
 async def main(message: cl.Message):
-    # Get user's message
-    user_message = message.content
+    log_message(f"Received message: {message.content[:50]}...")
     
-    # Call OpenAI API
-    response = client.chat.completions.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": user_message}
-        ],
-        temperature=0.7,
-    )
+    # Simple test response without using OpenAI
+    if message.content.lower() == "test":
+        log_message("Sending test response")
+        await cl.Message(content="Test successful! This is a direct response without using the OpenAI API.").send()
+        return
     
-    # Send response back to user
-    await cl.Message(
-        content=response.choices[0].message.content,
-    ).send()
+    try:
+        log_message("Attempting to call OpenAI API")
+        
+        # Call OpenAI API
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "user", "content": message.content}
+            ],
+            temperature=0.7,
+        )
+        
+        log_message("OpenAI API call successful")
+        
+        # Send response back to user
+        await cl.Message(
+            content=response.choices[0].message.content,
+        ).send()
+        
+    except Exception as e:
+        log_message(f"Error during API call: {str(e)}")
+        traceback.print_exc()
+        
+        # Send error message to user
+        await cl.Message(
+            content=f"Sorry, I encountered an error: {str(e)}",
+        ).send()