{
  "traces": [],
  "train": [],
  "demos": [],
  "signature": {
    "instructions": "Given a review title and content, determine the overall sentiment.\n\nTask: Analyze the text to determine if the reviewer has a positive or negative\nopinion about the product/service.\n\n- positive: The review expresses satisfaction, appreciation, or a favorable view\n- negative: The review expresses dissatisfaction, criticism, or an unfavorable view\n\nConsider:\n1. Overall tone and emotional language\n2. Whether the reviewer recommends the product\n3. Specific praise or complaints mentioned\n\nFirst reason through your thought process in the `reasoning` field.\nBe sure to verbalize any uncertainty in your thought process.\nThen output your conclusion in the `label` field.",
    "fields": [
      {
        "prefix": "Title:",
        "description": "The title of the review"
      },
      {
        "prefix": "Content:",
        "description": "The full review text/content"
      },
      {
        "prefix": "Reasoning:",
        "description": "Your step by step reasoning for the sentiment classification. Verbalize uncertainty."
      },
      {
        "prefix": "Label:",
        "description": "The sentiment: 'positive' or 'negative'"
      }
    ]
  },
  "lm": {
    "model": "together_ai/Qwen/Qwen3-VL-32B-Instruct",
    "model_type": "chat",
    "cache": true,
    "num_retries": 3,
    "finetuning_model": null,
    "launch_kwargs": {},
    "train_kwargs": {},
    "temperature": null,
    "max_tokens": null
  },
  "metadata": {
    "dependency_versions": {
      "python": "3.11",
      "dspy": "3.1.2",
      "cloudpickle": "3.1"
    }
  }
}