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Dockerfile

@@ -11,7 +11,7 @@ RUN apt-get update && apt-get install -y \
     && rm -rf /var/lib/apt/lists/*
 
 # Install required packages
-RUN pip install --no-cache-dir discord.py python-dotenv openai requests
+RUN pip install --no-cache-dir discord.py python-dotenv openai requests asyncio
 
 # Copy the bot script
 COPY /scripts/discordbot.py .

scripts/discordbot.py

@@ -7,6 +7,10 @@ import requests
 from io import BytesIO
 from collections import deque
 from dotenv import load_dotenv
+import json
+import datetime
+import aiohttp
+from typing import Dict, Any, List
 
 # Load environment variables
 load_dotenv()
@@ -57,24 +61,55 @@ async def get_chat_history(channel, limit=100):
         messages.append(content)
     return "\n".join(reversed(messages))
 
+async def get_available_tools() -> List[Dict[str, Any]]:
+    """Fetch available tools from OpenWebUI API."""
+    try:
+        headers = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {OPENAI_API_KEY}"
+        }
+        
+        async with aiohttp.ClientSession() as session:
+            async with session.get(
+                f"{OPENWEBUI_API_BASE}/v1/tools/list",
+                headers=headers
+            ) as response:
+                if response.status == 200:
+                    tools = await response.json()
+                    return tools
+                else:
+                    print(f"Error fetching tools: {await response.text()}")
+                    return []
+    except Exception as e:
+        print(f"Error fetching tools: {str(e)}")
+        return []
+
 async def get_ai_response(context, user_message, image_urls=None):
-    messages = [{"role": "user", "content": []}]
+    # Fetch available tools
+    tools = await get_available_tools()
+    tools_json = json.dumps(tools, indent=2)
     
-    # Add text content
+    system_message = f"\"\"\"Previous conversation context:{context}\nAvailable Tools: {tools_json}\nReturn an empty string if no tools match the query." + """If a function tool matches, construct and return a JSON object in the format {"name": "functionName", "parameters": {"requiredFunctionParamKey": "requiredFunctionParamValue\"}} using the appropriate tool and its parameters. Only return the object and limit the response to the JSON object without additional text."""
-    text_content = f"##CONTEXT##\n{context}\n##ENDCONTEXT##\n\n{user_message}"
-    messages[0]["content"].append({"type": "text", "text": text_content})
 
-    # Add image content if present
+    messages = [
+        {"role": "system", "content": system_message},
+        {"role": "user", "content": [] if image_urls else user_message}
+    ]
+    
+    # Handle messages with images differently
     if image_urls:
+        content_parts = [{"type": "text", "text": user_message}]
+        
         for url in image_urls:
             base64_image = await download_image(url)
             if base64_image:
-                messages[0]["content"].append({
+                content_parts.append({
                     "type": "image_url",
                     "image_url": {
                         "url": f"data:image/jpeg;base64,{base64_image}"
                     }
                 })
+        messages[1]["content"] = content_parts
 
     try:
         response = client.chat.completions.create(