Given the prompt alignment score, the reasons for unalignment found in the LLM actual output, the actual output, and input, provide a CONCISE reason for the score. Explain why it is not higher, but also why it is at its current score.
The unalignments represent prompt instructions that are not followed by the LLM in the actual output.
If there no unaligments, just say something positive with an upbeat encouraging tone (but don't overdo it otherwise it gets annoying).
Don't have to talk about whether the actual output is a good fit for the input, access ENTIRELY based on the unalignment reasons.

{{ _fragments.multimodal_input_rules }}

**
IMPORTANT: Please make sure to only return in JSON format, with the 'reason' key providing the reason.
Example JSON:
{
  "reason": "The score is <prompt_alignment_score> because <your_reason>."
}
**

Input:
{{ input }}

LLM Actual Output:
{{ actual_output }}

Prompt Alignment Score:
{{ score }}

Reasons for unalignment:
{{ unalignment_reasons }}

JSON:
