Made Discord bot service for getting llm response out of Discord message

reginaldCog/messenger_clients/services.py

@@ -0,0 +1,39 @@
+import asyncio
+from discord import Message
+from reginaldCog.messenger_clients.messenger_client import ClientMessage, DiscordMessageAdapter as MessengerDiscordAdapter
+from reginaldCog.llm_clients.llm_client import LMMClientType, MessengerClientMessageAdapter
+
+
+class MessageService:
+    def __init__(self, message: Message, llm_client: LMMClientType = LMMClientType.OPENAI):
+        self.message = message
+        self.llm_client = llm_client
+
+    async def get_llm_response(self) -> str:
+        # Adapt discord.Message to ClientMessage domain object
+        client_message: ClientMessage = MessengerDiscordAdapter().create_message(self.message)
+
+        # Create prompt and prompt builder for this LLM client
+        prompt = self.llm_client.value.prompt_class()
+        prompt_builder = self.llm_client.value.prompt_builder_class(prompt)
+
+        # Adapt the messenger client message into LLM message and add it to prompt
+        llm_message = MessengerClientMessageAdapter(client_message, self.llm_client).to_message()
+        prompt_builder.add_message(llm_message)
+
+        # Call the LLM client; run in executor if method is blocking sync
+        llm_client_instance = self.llm_client.value()
+
+        loop = asyncio.get_running_loop()
+        # Assuming get_response is blocking - run in executor:
+        response = await loop.run_in_executor(None, llm_client_instance.get_response, prompt)
+
+        # Extract plain text from the response (assuming OpenAIResponseAdapter is present)
+        from reginaldCog.llm_clients.llm_client import OpenAIResponseAdapter
+
+        response_adapter = OpenAIResponseAdapter(response)
+        message_obj = response_adapter.to_message()
+
+        # Concatenate all textual outputs for sending to Discord
+        texts = [item.get("text", "") for item in message_obj.content.content_items if item.get("type") == "output_text"]
+        return "\n".join(texts) if texts else "Sorry, no response generated."