Tortoise based database models

backend/src/agent.py

@@ -65,10 +65,10 @@ class DebugAgent(Agent):
     tools = []
 
     async def received_message(self, message):
-        chat_view = self.app.get_chat_view(message.chat_id)
+        chat_view = await self.app.get_chat_view(message.chat_id)
         response = chat_view.debug_string()
 
-        self.app.send_chat_message(
+        await self.app.send_chat_message(
             chat_id=message.chat_id,
             sender=self.id,
             content=response,
@@ -178,7 +178,7 @@ class ToolUsingAgent:
             system_prologue="You are given the entire context of the conversation, respond with your next message in the conversation by using the '!!response' command."
         )
 
-        self.app.send_chat_message(
+        await self.app.send_chat_message(
             chat_id=message.chat_id,
             sender=self.id,
             content=response,
@@ -235,7 +235,7 @@ class LlamaAgent(Agent):
             is_self = is_digit and str(sender) == str(self.id)
             return self.name if is_self else sender
 
-        chat_view = self.app.get_chat_view(message.chat_id)
+        chat_view = await self.app.get_chat_view(message.chat_id)
         thread_messages = chat_view.get_thread(message.thread_id).messages
         chat_summary = "\n".join(f"[{sender_name(message)}]: {message.content}" for message in thread_messages)
         messages = [
@@ -244,7 +244,7 @@ class LlamaAgent(Agent):
         ]
 
         response = await replicate_llama_completion(self.app, messages)
-        self.app.send_chat_message(
+        await self.app.send_chat_message(
             chat_id=message.chat_id,
             sender=self.id,
             content=response,