import json 
async def get_eval_score(sample):
    prompt = EVALUATION_PROMPT_TEMPLATE.format(
        additive_criteria=ADDITIVE_CRITERIA,
        evaluation_steps=EVALUATION_STEPS,
        json_schema=JSON_SCHEMA,
        examples=format_examples(few_shot_examples),
        question=sample["question"],
        context=sample["context"],
        answer=sample["answer"]
    )
    # Comment in if you want to see the prompt
    # print(prompt)
    response = await client.chat.completions.create(
        model="meta-llama/Meta-Llama-3-70B-Instruct",
        messages=[{"role": "user", "content": prompt}],
        temperature=0,
        max_tokens=512,
    )
    results = response.choices[0].message.content
    # Add the evaluation results to the sample
    return {**sample, **json.loads(results)}