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program.json

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+{
+  "traces": [],
+  "train": [],
+  "demos": [],
+  "signature": {
+    "instructions": "Analyze the given text to determine if it contains toxic content (hate speech, stereotypes,\ndiscrimination, or harmful content targeting a group).\n\nFirst reason through your thought process in the `reasoning` field. Consider:\n- Does the text contain harmful stereotypes?\n- Is it discriminatory towards any group?\n- Does it promote hate or violence?\n- Is it implicitly or explicitly toxic?\n\nBe sure to verbalize any uncertainty. Then output your conclusion in the `label` field.",
+    "fields": [
+      {
+        "prefix": "Text:",
+        "description": "The text to analyze for toxicity"
+      },
+      {
+        "prefix": "Reasoning:",
+        "description": "Your step by step reasoning about whether the text is toxic. Verbalize uncertainty."
+      },
+      {
+        "prefix": "Label:",
+        "description": "Whether the text is 'toxic' or 'benign'"
+      }
+    ]
+  },
+  "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"
+    }
+  }
+}