class OpenAIChatbot:
    def __init__(self, api_info: OpenAIAPIKey):
        self.api_key = api_info.api_key
        self.proxy = api_info.proxy
        self.presence_penalty = config.openai.gpt_params.presence_penalty
        self.frequency_penalty = config.openai.gpt_params.frequency_penalty
        self.top_p = config.openai.gpt_params.top_p
        self.temperature = config.openai.gpt_params.temperature
        self.max_tokens = config.openai.gpt_params.max_tokens
        self.engine = api_info.model or DEFAULT_ENGINE
        self.timeout = config.response.max_timeout
        self.conversation: dict[str, list[dict]] = {
            "default": [
                {
                    "role": "system",
                    "content": "You are ChatGPT, a large language model trained by OpenAI.\nCurrent date:[current date]",
                },
            ],
        }

if self.bot.count_tokens(session_id) > config.openai.gpt_params.compressed_tokens:
            logger.debug('开始进行会话压缩')

            filtered_data = [entry for entry in self.bot.conversation[session_id] if entry['role'] != 'system']
            self.bot.conversation[session_id] = [entry for entry in self.bot.conversation[session_id] if
                                                 entry['role'] not in ['assistant', 'user']]

            filtered_data.append(({"role": "system",
                                   "content": "Summarize the discussion briefly in 200 words or less to use as a prompt for future context."}))