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program.json

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+{
+  "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"
+    }
+  }
+}