More fixes for anthropic

telegram_inference_bot.py

@@ -83,62 +83,78 @@ async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
 
         logging.info(f"Message from user {user_id}: {user_message}")
 
-        # Initialize conversation history for new users
         if user_id not in conversation_history:
             conversation_history[user_id] = []
 
-        # Add user message to conversation history
         conversation_history[user_id].append({"role": "user", "content": user_message})
 
-        # Prepare messages for OpenAI API
         messages = conversation_history[user_id]
 
         response = get_chat_response(messages)
-
+        tool_calls = []
-        # Extract the assistant's reply
+        if use_anthropic:
-        assistant_message = response.choices[0].message
+            for message in response.content:
-        toolUseCount = 0
+                if message.type == "tool_use":
-        if hasattr(assistant_message, 'function_call') and assistant_message.function_call:
+                    tool_calls.append(message)
-            while hasattr(assistant_message, 'function_call') and assistant_message.function_call and toolUseCount < 50: # Todo: put amount in env
+                    assistant_message = ""
-                tool_response = call_tool(assistant_message.function_call)
+                else:
-                
+                    assistant_message = message
-                conversation_history[user_id].append({"role": "function", "name": assistant_message.function_call.name, "content": json.dumps(tool_response)})
+                    tool_calls = None
-                messages.append({
-                    "role": "function",
-                    "name": assistant_message.function_call.name,
-                    "content": json.dumps(tool_response)
-                })
-
-                # Call API again to get the final response
-                assistant_message = get_chat_response(messages).choices[0].message
-                if not hasattr(assistant_message, 'function_call') or not assistant_message.function_call:
-                    assistant_reply = assistant_message.content
-                    conversation_history[user_id].append({"role": "assistant", "content": assistant_reply})
         else:
-            assistant_reply = assistant_message.content
+            assistant_message = response.choices[0].message
-            # Add assistant's reply to conversation history
+            if hasattr(assistant_message, 'function_call'):
-            conversation_history[user_id].append({"role": "assistant", "content": assistant_reply})
+                tool_calls.append(assistant_message.function_call)
 
+        toolUseCount = 0
 
+        while len(tool_calls) > 0 and toolUseCount < 50:
 
-        # Trim conversation history if it gets too long (e.g., keep last 10 messages)
+            tool_call = tool_calls.pop(0)
-        if len(conversation_history[user_id]) > 10:
+            function_name = tool_call.name
-            conversation_history[user_id] = conversation_history[user_id][-10:]
             
-        # Send the reply back to the user
+            tool_response = call_tool(tool_call)
-        await update.message.reply_text(assistant_reply)
+            
+            conversation_history[user_id].append({"role": "function", "name": function_name, "content": json.dumps(tool_response)})
+            messages.append({
+                "role": "function",
+                "name": function_name,
+                "content": json.dumps(tool_response)
+            })
+
+            response = get_chat_response(messages)
+            if use_anthropic:
+                for message in response.content:
+                    if message.type == "tool_use":
+                        tool_calls.append(message)
+                        assistant_message = ""
+                    else:
+                        assistant_message = message
+                        tool_calls = None
+            else:
+                assistant_message = response.choices[0].message
+                if assistant_message.function_call is not None:
+                    tool_calls.append(assistant_message.function_call)
+
+            toolUseCount += 1
+
+        assistant_reply = assistant_message
+        conversation_history[user_id].append({"role": "assistant", "content": assistant_reply})
+
+        if len(conversation_history[user_id]) > 20:
+            conversation_history[user_id] = conversation_history[user_id][-20:]
+
+        await update.message.reply_text(assistant_reply.content if not use_anthropic else assistant_reply)
 
     except Exception as e:
         logging.error(f"An error occurred: {str(e)}")
         await update.message.reply_text("Sorry, an error occurred while processing your request.")
 
 def call_tool(function_call):
-    # Execute the function
+    function_name = function_call.name if use_anthropic else function_call.name
-    function_name = function_call.name
+    function_args = "{}" if use_anthropic else function_call.arguments
-    function_args = function_call.arguments
     for tool in tools:
         if function_name in [f["name"] for f in tool.get_functions()]:
-            return tool.execute(function_name, **eval(function_args))
+            return tool.execute(function_name, **json.loads(function_args))
 
 def get_chat_response(messages):
     return get_claude_response(messages) if use_anthropic else get_openai_response(messages)
@@ -163,13 +179,18 @@ def get_claude_response(messages):
             }
             for function in functions
         ]
-    response = anthropic_client.messages.create(
+    try:
-        system=system_prompt,
+        response = anthropic_client.messages.create(
-        messages=messages,
+            model="claude-3-sonnet-20240229",
-        tools=anthropic_tools,
+            system=system_prompt,
-        max_tokens=4096,
+            messages=[{"role": m["role"], "content": m["content"]} for m in messages],
-        model="claude-3-5-sonnet-20240620"
+            max_tokens=4096,
-    )
+            tools=anthropic_tools
+        )
+    except Exception as e:
+        logging.error(f"An error occurred: {str(e)}")
+        return None
+        
     return response
 
 async def switch(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
@@ -179,7 +200,7 @@ async def switch(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     logging.info(f"Switched to model: {model}")
     await update.message.reply_text(f"Switched to model: {model}")
 
-async def switch_anthropic(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+async def switch_providers(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     global use_anthropic
     use_anthropic = not use_anthropic
     logging.info("Using Anthropic" if use_anthropic else "Using OpenAI")
@@ -200,7 +221,7 @@ def main() -> None:
     application.add_handler(CommandHandler("start", start))
     application.add_handler(CommandHandler("clear", clear))
     application.add_handler(CommandHandler("switch", switch))
-    application.add_handler(CommandHandler("toggle", switch_anthropic))
+    application.add_handler(CommandHandler("toggle", switch_providers))
     application.add_handler(CommandHandler("status", status))
     application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
 

tools/log_tool.py

@@ -59,7 +59,7 @@ class LogTool(BaseTool):
             self.logger.error(error_message)
             return error_message
 
-    def _get_log_contents(self, line_count=None):
+    def _get_log_contents(self, line_count=150):
         log_file_path = 'logs/output.log'
         
         if not os.path.exists(log_file_path):