Add `--verbose` or similar to return equivalent of log response

[tonydewan]

I'd like to be able to pass an option to the chat command to make it return the full logged (json) object, or at least something structured that includes conversation_id and other details. E.g

llm -m 4 "Hello, how are you" --no-stream --verbose
> {
    "id": "",
    "model": "gpt-4",
    "prompt": "Hello, how are you",
    "system": null,
    "prompt_json": {
      "messages": [
        {
          "role": "user",
          "content": "Hello, how are you"
        }
      ]
    },
    "options_json": {},
    "response": "I'm an AI, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?",
    "response_json": {
      "id": "",
      "choices": [
        {
          "finish_reason": "stop",
          "index": 0,
          "message": {
            "content": "I'm an AI, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?",
            "role": "assistant"
          }
        }
      ],
      "created": 000000000,
      "model": "gpt-4-0613",
      "object": "chat.completion",
      "usage": {
        "completion_tokens": 29,
        "prompt_tokens": 12,
        "total_tokens": 41
      }
    },
    "conversation_id": "000000000",
    "duration_ms": 2188,
    "datetime_utc": "2024-01-31T21:48:45.963664",
    "conversation_name": "Hello, how are you",
    "conversation_model": "gpt-4"
 }

I'm running multiple concurrent requests and would like to the option to continue a given conversation by passing the conversation_id. To do that now, I need to get N logs (e.g, llm logs list --json -n 10) and determine which matches based on the response. This works okay, but is error prone and slow.