明明有API_KEY，为何还报错：[main.py:251] - [Summary] translate failed: Did not find llm_api_key, please add an environment variable `LLM_API_KEY` which contains it, or pass `llm_api_key` as a named parameter.

[bingjiw]

config.json中明明有API_KEY，为何还报错：[main.py:251] - [Summary] translate failed: Did not find llm_api_key, please add an environment variable LLM_API_KEY which contains it, or pass llm_api_key as a named parameter.

请问以下函数在 bot.run 时到底 是调用哪个大模型model？为什么只要给一个api_key，不用指定大模型的名称吗？
万一它要调用的model不在我的api_key的支持范围内呢？

def _translate_text_to_commands(self, text):
    llm = ModelFactory().create_llm_model(**build_model_params({
        "openai_api_key": conf().get("open_ai_api_key", ""),
        "proxy": conf().get("proxy", ""),
    }))

    prompt = PromptTemplate(
        input_variables=["input"],
        template=TRANSLATE_PROMPT,
    )
    bot = LLMChain(llm=llm, prompt=prompt)
    content = bot.run(text)
    return content