308 lines
14 KiB
Python
308 lines
14 KiB
Python
import base64
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import datetime
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import json
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from dataclasses import dataclass
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from io import BytesIO
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from PIL import Image
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from typing import List, Tuple, Any, Optional
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from openrouter import OpenRouter, RetryConfig
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from openrouter.components import ToolDefinitionJSONTypedDict, MessageTypedDict
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from openrouter.utils import BackoffStrategy
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from database import BasicDatabase
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GROUP_CHAT_SYSTEM_PROMPT = """
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Ты - ИИ-помощник в групповом чате.\n
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Отвечай на вопросы и поддерживай контекст беседы.\n
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Ты не можешь обсуждать политику и религию.\n
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Сообщения пользователей будут приходить в следующем формате: '[дата время, имя]: текст сообщения'\n
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При ответе НЕ нужно указывать ни время, ни пользователя, которому предназначен ответ, ни свое имя.\n
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НЕ используй разметку Markdown.
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"""
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GROUP_CHAT_MAX_MESSAGES = 20
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PRIVATE_CHAT_SYSTEM_PROMPT = """
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Ты - ИИ-помощник в чате c пользователем.\n
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Отвечай на вопросы и поддерживай контекст беседы.\n
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Сообщения пользователя будут приходить в следующем формате: '[дата время]: текст сообщения'\n
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При ответе НЕ нужно указывать время.\n
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Никогда не используй разметку Markdown.\n
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Никогда не добавляй ASCII-арты в ответ.
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"""
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PRIVATE_CHAT_MAX_MESSAGES = 40
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OPENROUTER_HEADERS = {
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'HTTP-Referer': 'https://ultracoder.org',
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'X-Title': 'TG/VK Chat Bot'
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}
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@dataclass()
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class Message:
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user_name: str = None
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text: str = None
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image: bytes = None
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message_id: int = None
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def _add_message_prefix(text: Optional[str], username: Optional[str] = None) -> str:
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current_time = datetime.datetime.now().strftime("%d.%m.%Y %H:%M")
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prefix = f"[{current_time}, {username}]" if username is not None else f"[{current_time}]"
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return f"{prefix}: {text}" if text is not None else f"{prefix}:"
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def _encode_image(image: bytes) -> str:
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encoded_image = base64.b64encode(image).decode('utf-8')
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return f"data:image/jpeg;base64,{encoded_image}"
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def _serialize_message(role: str, text: Optional[str], image: Optional[bytes]) -> dict:
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serialized = {"role": role, "content": []}
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if text is not None:
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serialized["content"].append({"type": "text", "text": text})
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if image is not None:
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serialized["content"].append({"type": "image_url", "image_url": {"url": _encode_image(image)}})
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return serialized
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def _get_tools_description() -> List[ToolDefinitionJSONTypedDict]:
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return [{
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"type": "function",
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"function": {
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"name": "generate_image",
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"description": """
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Генерация изображения по описанию.
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Используй этот инструмент, если пользователь просит сгенерировать изображение ('нарисуй', 'покажи' и т.п.),
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ИЛИ если это улучшит ответ (например, в ролевой игре для визуализации сцены).
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""",
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"parameters": {
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"type": "object",
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"properties": {
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"prompt": {
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"type": "string",
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"description": """
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Детальное описание на английском (рекомендуется).
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Добавь детали для стиля, цвета, композиции, если нужно.
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"""
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},
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"aspect_ratio": {
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"type": "string",
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"enum": ["1:1", "3:4", "4:3", "9:16", "16:9"],
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"description": "Соотношение сторон (опционально)."
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}
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}
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}
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}
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}]
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class AiAgent:
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def __init__(self,
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api_token_main: str, model_main: str,
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api_token_image: str, model_image: str,
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db: BasicDatabase,
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platform: str):
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retry_config = RetryConfig(strategy="backoff",
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backoff=BackoffStrategy(
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initial_interval=2000, max_interval=8000, exponent=2, max_elapsed_time=14000),
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retry_connection_errors=True)
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self.db = db
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self.model_main = model_main
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self.model_image = model_image
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self.platform = platform
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self.client = OpenRouter(api_key=api_token_main, retry_config=retry_config)
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self.client_image = OpenRouter(api_key=api_token_image)
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async def get_group_chat_reply(self, bot_id: int, chat_id: int,
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message: Message, forwarded_messages: List[Message]) -> Tuple[str, bool]:
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context = self._get_chat_context(is_group_chat=True, bot_id=bot_id, chat_id=chat_id)
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message.text = _add_message_prefix(message.text, message.user_name)
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context.append(_serialize_message(role="user", text=message.text, image=message.image))
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for fwd_message in forwarded_messages:
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message_text = '<Цитируемое сообщение от {}>'.format(fwd_message.user_name)
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if fwd_message.text is not None:
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message_text += '\n' + fwd_message.text
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fwd_message.text = message_text
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context.append(_serialize_message(role="user", text=fwd_message.text, image=fwd_message.image))
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try:
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response = await self.client.chat.send_async(
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model=self.model_main,
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messages=context,
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max_tokens=500,
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user=f'{self.platform}_{bot_id}_{chat_id}',
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http_headers=OPENROUTER_HEADERS
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)
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ai_response = response.choices[0].message.content
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self.db.context_add_message(bot_id, chat_id, role="user", text=message.text, image=message.image,
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message_id=message.message_id, max_messages=GROUP_CHAT_MAX_MESSAGES)
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for fwd_message in forwarded_messages:
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self.db.context_add_message(bot_id, chat_id, role="user", text=fwd_message.text, image=fwd_message.image,
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message_id=fwd_message.message_id, max_messages=GROUP_CHAT_MAX_MESSAGES)
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self.db.context_add_message(bot_id, chat_id, role="assistant", text=ai_response, image=None,
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message_id=None, max_messages=GROUP_CHAT_MAX_MESSAGES)
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return ai_response, True
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except Exception as e:
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if str(e).find("Rate limit exceeded") != -1:
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return "Извините, достигнут дневной лимит запросов к ИИ (обновляется в 03:00 МСК).", False
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else:
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print(f"Ошибка выполнения запроса к ИИ: {e}")
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return f"Извините, при обработке запроса произошла ошибка.", False
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async def get_private_chat_reply(self, bot_id: int, chat_id: int, message: Message) -> Tuple[Message, bool]:
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context = self._get_chat_context(is_group_chat=False, bot_id=bot_id, chat_id=chat_id)
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message.text = _add_message_prefix(message.text)
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content: list[dict[str, Any]] = []
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if message.text is not None:
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content.append({"type": "text", "text": message.text})
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if message.image is not None:
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content.append({"type": "image_url", "image_url": {"url": _encode_image(message.image)}})
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context.append({"role": "user", "content": content})
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try:
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user_tag = f'{self.platform}_{bot_id}_{chat_id}'
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response = await self.client.chat.send_async(
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model=self.model_main,
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messages=context,
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tools=_get_tools_description(),
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tool_choice="auto",
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max_tokens=500,
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user=user_tag,
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http_headers=OPENROUTER_HEADERS
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)
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ai_response = response.choices[0].message.content
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context.append(response.choices[0].message)
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if len(response.choices[0].message.tool_calls) > 0 and ai_response is not None and len(ai_response) > 0:
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print(f"Модель хочет вызвать функцию, но также вернула текст: '{ai_response}'")
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image_response_image: Optional[bytes] = None
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for tool_call in response.choices[0].message.tool_calls:
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tool_name = tool_call.function.name
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tool_args = json.loads(tool_call.function.arguments)
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if tool_name == "generate_image":
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prompt = tool_args.get("prompt", "")
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aspect_ratio = tool_args.get("aspect_ratio", None)
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image_response_text, image_response_image =\
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await self._generate_image(prompt=prompt, aspect_ratio=aspect_ratio, user_tag=user_tag)
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context.append({
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"role": "tool",
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"tool_call_id": tool_call.id,
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"content": [
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{"type": "text",
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"text": """
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Изображение сгенерировано и будет показано пользователю.
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НЕ добавляй никаких тегов или маркеров вроде <image>, [image] — они запрещены и не нужны.
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"""},
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{"type": "image_url", "image_url": {"url": _encode_image(image_response_image)}}
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]
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})
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response2 = await self.client.chat.send_async(
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model=self.model_main,
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messages=context,
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max_tokens=500,
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user=user_tag,
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http_headers=OPENROUTER_HEADERS
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)
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ai_response = response2.choices[0].message.content
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break
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self.db.context_add_message(bot_id, chat_id, role="user", text=message.text, image=message.image,
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message_id=message.message_id, max_messages=PRIVATE_CHAT_MAX_MESSAGES)
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if image_response_image is not None:
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self.db.context_add_message(bot_id, chat_id, role="assistant",
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text=ai_response, image=image_response_image,
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message_id=None, max_messages=PRIVATE_CHAT_MAX_MESSAGES)
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else:
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self.db.context_add_message(bot_id, chat_id, role="assistant", text=ai_response, image=None,
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message_id=None, max_messages=PRIVATE_CHAT_MAX_MESSAGES)
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return Message(text=ai_response, image=image_response_image), True
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except Exception as e:
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if str(e).find("Rate limit exceeded") != -1:
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return Message(text="Извините, достигнут дневной лимит запросов к ИИ (обновляется в 03:00 МСК)."), False
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else:
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print(f"Ошибка выполнения запроса к ИИ: {e}")
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return Message(text=f"Извините, при обработке запроса произошла ошибка."), False
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def get_last_assistant_message_id(self, bot_id: int, chat_id: int):
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return self.db.context_get_last_assistant_message_id(bot_id, chat_id)
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def set_last_response_id(self, bot_id: int, chat_id: int, message_id: int):
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self.db.context_set_last_message_id(bot_id, chat_id, message_id)
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def clear_chat_context(self, bot_id: int, chat_id: int):
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self.db.context_clear(bot_id, chat_id)
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def _get_chat_context(self, is_group_chat: bool, bot_id: int, chat_id: int) -> List[MessageTypedDict]:
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prompt = GROUP_CHAT_SYSTEM_PROMPT if is_group_chat else PRIVATE_CHAT_SYSTEM_PROMPT
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bot = self.db.get_bot(bot_id)
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if bot['ai_prompt'] is not None:
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prompt += '\n\n' + bot['ai_prompt']
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chat = self.db.create_chat_if_not_exists(bot_id, chat_id)
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if chat['ai_prompt'] is not None:
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prompt += '\n\n' + chat['ai_prompt']
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messages = self.db.context_get_messages(bot_id, chat_id)
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context: List[MessageTypedDict] = [{"role": "system", "content": prompt}]
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for message in messages:
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context.append(_serialize_message(message["role"], message["text"], message["image"]))
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return context
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async def _generate_image(self, prompt: str, aspect_ratio: Optional[str], user_tag: str) -> Tuple[str, bytes]:
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context = [{"role": "user", "content": prompt}]
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if aspect_ratio is not None:
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response = await self.client_image.chat.send_async(
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model=self.model_image,
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messages=context,
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user=user_tag,
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modalities=["image"],
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image_config={"aspect_ratio": aspect_ratio}
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)
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else:
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response = await self.client_image.chat.send_async(
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model=self.model_image,
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messages=context,
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user=user_tag,
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modalities=["image"]
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)
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content = response.choices[0].message.content
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image_url = response.choices[0].message.images[0].image_url.url
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header, image_base64 = image_url.split(",", 1)
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mime_type = header.split(";")[0].replace("data:", "")
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image_bytes = base64.b64decode(image_base64)
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if mime_type != "image/jpeg":
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image = Image.open(BytesIO(image_bytes)).convert("RGB")
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output = BytesIO()
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image.save(output, format="JPEG", quality=80, optimize=True)
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image_bytes = output.getvalue()
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return content, image_bytes
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agent: AiAgent
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def create_ai_agent(api_token_main: str, model_main: str,
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api_token_image: str, model_image: str,
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db: BasicDatabase, platform: str):
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global agent
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agent = AiAgent(api_token_main, model_main, api_token_image, model_image, db, platform)
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