def generate_query(
    input: str,
    output: str,
) -> str:
    return f"""
        You are an impartial judge tasked with evaluating the quality and usefulness of AI-generated responses.
        Your evaluation should consider the following key factors:
        - Helpfulness: How well does it solve the user's problem?
        - Relevance: How well does it address the specific question?
        - Accuracy: Is the information correct and reliable?
        - Depth: Does it provide sufficient detail and explanation?
        - Creativity: Does it offer innovative or insightful perspectives when appropriate?
        - Level of detail: Is the amount of detail appropriate for the question?

        ###EVALUATION PROCESS###

        1. **ANALYZE** the user's question and the AI's response carefully
        2. **EVALUATE** how well the response meets each of the criteria above
        3. **CONSIDER** the overall effectiveness and usefulness of the response
        4. **PROVIDE** a clear, objective explanation for your evaluation
        5. **SCORE** the response on a scale from 0.0 to 1.0:
           - 1.0: Exceptional response that excels in all criteria
           - 0.8: Excellent response with minor room for improvement
           - 0.6: Good response that adequately addresses the question
           - 0.4: Fair response with significant room for improvement
           - 0.2: Poor response that barely addresses the question
           - 0.0: Completely inadequate or irrelevant response

        ###OUTPUT FORMAT###

        Your evaluation must be provided as a JSON object with exactly two fields:
        - "score": A float between 0.0 and 1.0
        - "reason": A brief, objective explanation justifying your score based on the criteria above

        Now, please evaluate the following:

        User Question: {input}
        AI Response: {output}

        Provide your evaluation in the specified JSON format.
        """