rganization = config['openai']['organization_id'].strip('"').strip("'")
    ENGINE = config['openai']['engine'].strip('"').strip("'")

    prompt_config = {
        'engine': ENGINE,
        'temperature': TEMPERATURE,
        'max_tokens': MAX_TOKENS,
        'shell': SHELL,
        'multi_turn': MULTI_TURN,
        'token_count': 0
    }
    
    return PromptFile(PROMPT_CONTEXT.name, prompt_config)

def is_sensitive_content(content):
    """
    Check if the content contains sensitive content
    Refer to https://beta.openai.com/docs/engines/content-filter for explanation
    """

    if len(content) == 0:
        return False
    
    response = openai.Completion.create(
        engine="content-filter-alpha",
        prompt = "<|endoftext|>"+content+"\n--\nLabel:",
        temperature=0,
        max_tokens=1,
        top_p=0,
        logprobs=10
        )
    
    output_label = response["choices"][0]["text"]

    # This is the probability at which we evaluate that a "2" is likely real
    # vs. should be discarded as a false positive
    toxic_threshold = -0.355

    if output_label == "2":
        # If the model returns "2", return its confidence in 2 or other output-labels
        logprobs = response["choices"][0]["logprobs"]["top_logprobs"][0]

        # If the model is not sufficiently confident in "2",
        # choose the most probable of "0" or "1"
        # Guaranteed to have a confidence for 2 since this was the selected token.
        if logprobs["2"] < toxic_threshold:
            logprob_0 = logprobs.get("0", None)
            logprob_1 = logprobs.get("1", None)

            # If both "0" and "1" have probabilities, set the output label
            # to whichever is most probable
            if logprob_0 is not None and logprob_1 is not None:
                if logprob_0 >= logprob_1:
                    output_label = "0"
                else:
                    output_label = "1"