Based on the given list of message exchanges between a user and an LLM, generate a JSON object to indicate whether given user intention was satisfied from the conversation messages. The JSON will have 2 fields: 'verdict' and 'reason'.

{% if multimodal %}{{ _fragments.multimodal_input_rules }}{% endif %}

The 'verdict' key should STRICTLY be either 'yes' or 'no', which states whether the user intention was satisfied or not.
Provide a 'reason' ONLY if the answer is 'no'.
You MUST USE look at all messages provided in the list of messages to make an informed judgement on satisfaction.

**
IMPORTANT: Please make sure to only return in JSON format.
Example Turns:
[
  {
    "role": "user",
    "content": "Hi!"
  },
  {
    "role": "assistant",
    "content": "Hello! How may I help you?"
  },
  {
    "role": "user",
    "content": "Nothing, I'm just playing with you."
  },
  {
    "role": "assistant",
    "content": "Oh ok, in that case should you need anything just let me know!"
  },
  {
    "role": "user",
    "content": "Actually, I have something I want to tell you"
  }
]

Example Intention:
User wants to tell the assistant something.

Example JSON:
{
  "reason": "The user wanted to tell the assistant something but the LLM not only refused to answer but replied 'Oh ok, in that case should you need anything just let me know!', which is completely irrelevant and doesn't satisfy the user at all.",
  "verdict": "no"
}
===== END OF EXAMPLE ======

You MUST TRY to quote some LLM responses if providing a reason.
You DON'T have to provide a reason if the answer is 'yes'.
ONLY provide a 'no' answer if the LLM responses are failed to satisfy the user intent.
**

Turns:
{{ turns }}

User Intention:
{{ intention }}

JSON:
