refactor llm out of bot

llm_client.py

@@ -0,0 +1,88 @@
+import aiohttp
+import base64
+from openai import AsyncOpenAI
+
+API_KEY = "eh"
+MODEL = "p620"
+DEFAULT_NAME = "Aoi"
+DEFAULT_SYSTEM_PROMPT = (
+    "you are a catboy named Aoi with dark blue fur and is a tsundere"
+)
+NAME_PROMPT = "reply with your name, nothing else, no punctuation"
+
+
+class Conversation:
+    def __init__(self, client, name, prompt):
+        self.history = [{"role": "system", "content": prompt}]
+        self.bot_name = name
+        self.last_messages = []
+        self.client = client
+
+    @classmethod
+    async def create(cls, base_url, prompt=None):
+        client = AsyncOpenAI(base_url=base_url, api_key=API_KEY)
+        if not prompt:
+            return cls(client, DEFAULT_NAME, DEFAULT_SYSTEM_PROMPT)
+        return cls(client, await cls.get_name(client, prompt), prompt)
+
+    @classmethod
+    async def get_name(self, client, system_prompt):
+        name_response = await client.chat.completions.create(
+            model=MODEL,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": NAME_PROMPT}
+            ],
+        )
+        return name_response.choices[0].message.content.split('\n')[0]
+
+    def add_message_pair(self, user, assistant):
+        self.history.extend([
+            {"role": "user", "content": user},
+            {"role": "assistant", "content": assistant},
+        ])
+
+    async def generate(self, text, media=tuple()):
+        # prepare text part
+        if text:
+            openai_content = [{"type": "text", "text": text}]
+        else:
+            openai_content = [{"type": "text", "text": "."}]
+
+        # prepare images part
+        async with aiohttp.ClientSession() as session:
+            for (content_type, url) in media:
+                if "image" not in content_type:
+                    continue
+                try:
+                    async with session.get(url) as resp:
+                        if resp.status != 200:
+                            raise IOError(f"{url} --> {resp.status}")
+                        image_data = await resp.read()
+                        b64_image = base64.b64encode(image_data).decode('utf-8')
+                        b64_url = f"data:{content_type};base64,{b64_image}"
+                        openai_content.append({
+                            "type": "image_url",
+                            "image_url": {"url": b64_url}
+                        })
+                except Exception as e:
+                    print(f"Error downloading or processing attachment: {e}")
+
+        # send request to openai api and return response
+        request = self.history + [{"role": "user", "content": openai_content}]
+        llm_response = await self.client.chat.completions.create(
+            model=MODEL, messages=request,
+        )
+        response = llm_response.choices[0].message.content
+        self.add_message_pair(openai_content, response)
+        return response
+
+    async def regenerate(self):
+        llm_response = await self.client.chat.completions.create(
+            model=MODEL, messages=self.history[:-1]
+        )
+        response = llm_response.choices[0].message.content
+        self.history[-1] = {"role": "assistant", "content": response}
+        return response
+
+