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program.json

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+{
+  "traces": [],
+  "train": [],
+  "demos": [],
+  "signature": {
+    "instructions": "Classify an email as spam or not spam based on its subject and body.\n\nInstructions:\n1. Read the subject and body of the email carefully.\n2. Look for common spam indicators: urgency, suspicious links, unsolicited offers,\n   misleading sender info, or requests for personal information.\n3. Output \"spam\" if the email is spam, or \"not spam\" if it is legitimate.",
+    "fields": [
+      {
+        "prefix": "Subject:",
+        "description": "The email subject line"
+      },
+      {
+        "prefix": "Body:",
+        "description": "The email body text"
+      },
+      {
+        "prefix": "Reasoning:",
+        "description": "Your reasoning for your answer. Inlude any uncertainties about your answer or ambiguity in the task."
+      },
+      {
+        "prefix": "Is Spam:",
+        "description": "Whether the email is spam: 'spam' or 'not spam'"
+      }
+    ]
+  },
+  "lm": {
+    "model": "together_ai/openai/gpt-oss-120b",
+    "model_type": "chat",
+    "cache": true,
+    "num_retries": 3,
+    "finetuning_model": null,
+    "launch_kwargs": {},
+    "train_kwargs": {},
+    "temperature": null,
+    "max_tokens": null
+  },
+  "metadata": {
+    "dependency_versions": {
+      "python": "3.13",
+      "dspy": "3.1.3",
+      "cloudpickle": "3.1"
+    }
+  }
+}