class LongTermMemory(ContextProvider):
    def __init__(
        self,
        thread_id: str | None = None,
        session_tag: str | None = None,
        distance_threshold: float = 0.3,
        context_prompt: str = ContextProvider.DEFAULT_CONTEXT_PROMPT,
        redis_url: str = "redis://localhost:6379",
        embedding_model: str = "BAAI/bge-m3",
        llm_model: str = Qwen3.NEXT,
        llm_api_key: str | None = None,
        llm_base_url: str | None = None,
    ):
        ...
        self._init_extractor()

    def _init_extractor(self):
        with open("prompt.md", "r", encoding="utf-8") as f:
                system_prompt = f.read()

        self._extractor = OpenAILikeChatClient(
            model_id=self._llm_model,
        ).as_agent(
            name="extractor",
            instructions=system_prompt,
            default_options={
                "response_format": ExtractResult,
                "extra_body": {"enable_thinking": False}
            },
        )