Batch scan support about llm-guard HOT 5 OPEN

    def scan_batch(self, prompts: list[str]) -> list[(str, bool, float)]:
        if len(prompts) == 0:
            return []
        
        prompt_batch: list[str] = []
        for prompt in prompts:
            prompt_batch.extend(self._match_type.get_inputs(prompt))

        highest_score = 0.0
        results_all = self._pipeline(prompt_batch)

        result_batch: list[(bool, float)] = []
        for result in results_all:
            injection_score = round(
                result["score"] if result["label"] == self._model["label"] else 1 - result["score"],
                2,
            )

            if injection_score > highest_score:
                highest_score = injection_score

            if injection_score > self._threshold:
                logger.warning(f"Detected prompt injection with score: {injection_score}")
                result_batch.append((False, calculate_risk_score(injection_score, self._threshold)))
            else:
                result_batch.append((True, 0.0))
        
        return [(prompts[i],) + result_batch[i] for i in range(0, len(result_batch))]