def _set_amazon_span_attributes(span, request_body, response_body, metric_params):
    _set_span_attribute(
        span, SpanAttributes.LLM_REQUEST_TYPE, LLMRequestTypeValues.COMPLETION.value
    )
    config = request_body.get("textGenerationConfig", {})
    _set_span_attribute(span, SpanAttributes.LLM_REQUEST_TOP_P, config.get("topP"))
    _set_span_attribute(
        span, SpanAttributes.LLM_REQUEST_TEMPERATURE, config.get("temperature")
    )
    _set_span_attribute(
        span, SpanAttributes.LLM_REQUEST_MAX_TOKENS, config.get("maxTokenCount")
    )

    results = response_body.get("results")
    if results is not None:
        _record_usage_to_span(
            span,
            response_body.get("inputTextTokenCount"),
            sum(int(result.get("tokenCount")) for result in results),
            metric_params,
        )

    if should_send_prompts():
        _set_span_attribute(
            span, f"{SpanAttributes.LLM_PROMPTS}.0.user", request_body.get("inputText")
        )

        if results is not None:
            for i, result in enumerate(results):
                _set_span_attribute(
                    span,
                    f"{SpanAttributes.LLM_COMPLETIONS}.{i}.content",
                    result.get("outputText"),
                )