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README.md

@@ -1,2 +1,4 @@
-# lead-qualifier-gepa
+---
-
+arbiter_probe: modaic/gpt-oss-120b-probe
+is_arbiter: true
+---

config.json

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+{
+  "model": null,
+  "signature": {
+    "$defs": {
+      "Reasoning": {
+        "type": "dspy.Reasoning"
+      }
+    },
+    "description": "Given the fields `company_name`, produce the fields `qualified`.",
+    "properties": {
+      "company_name": {
+        "__dspy_field_type": "input",
+        "desc": "${company_name}",
+        "prefix": "Company Name:",
+        "title": "Company Name",
+        "type": "string"
+      },
+      "reasoning": {
+        "$ref": "#/$defs/Reasoning",
+        "__dspy_field_type": "output",
+        "desc": "Your reasoning for your answer. Inlude any uncertainties about your answer or ambiguity in the task.",
+        "prefix": "Reasoning:"
+      },
+      "qualified": {
+        "__dspy_field_type": "output",
+        "desc": "${qualified}",
+        "prefix": "Qualified:",
+        "title": "Qualified",
+        "type": "boolean"
+      }
+    },
+    "required": [
+      "company_name",
+      "reasoning",
+      "qualified"
+    ],
+    "title": "StringSignature",
+    "type": "object"
+  }
+}

program.json

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+{
+  "traces": [],
+  "train": [],
+  "demos": [],
+  "signature": {
+    "instructions": "Task Instruction for the Assistant:\n\n1. Objective:\n   - Given the field `company_name`, determine and produce the field `qualified`, which is a boolean value indicating whether the company is likely to meet unspecified qualification criteria.\n\n2. Input:\n   - `company_name`: A string representing the name of a company.\n\n3. Output:\n   - `reasoning`: A Python string literal explaining the rationale for determining the `qualified` status. Your reasoning should consider both the name itself and any inferred characteristics of the company, noting uncertainties as necessary.\n   - `qualified`: A boolean (True/False) indicating if the company is likely to meet generic qualification criteria presumed for technology-related programs or corporate standards.\n   \n4. Generalizable Strategy:\n   - If the company name suggests it is engaged in technology, SaaS, or AI, default to assuming `qualified = True`. Justify this with reasoning that the name suggests alignment with typical industry qualifications.\n   - If the company name suggests a small-scale, niche, or local business without clear tech alignment, lean towards `qualified = False`, stating gaps in alignment with typical qualification standards.\n   - Note ambiguities and use reasoning for explaining your decision-making process clearly.\n\n5. Formatting:\n   - Wrap the `reasoning` as a Python string with appropriate quotation marks to ensure it is clear and concise.\n   - Provide the `qualified` output as a straightforward boolean value, True or False.\n   - Enclose outputs in the specific format structure:\n   \n   ```\n   [[ ## reasoning ## ]]\n   \"<reasoning_string>\"\n\n   [[ ## qualified ## ]]\n   <True/False>\n\n   [[ ## completed ## ]]\n   ```\n   \n6. Note:\n   - Use your best judgment based on hints in the company name and maintain a consistent format for outputs.\n   - Apply critical thinking to analyze the company name and infer logical assumptions about the company's nature or industry. Ensure each response is thoroughly considered and justified.",
+    "fields": [
+      {
+        "prefix": "Company Name:",
+        "description": "${company_name}"
+      },
+      {
+        "prefix": "Reasoning:",
+        "description": "Your reasoning for your answer. Inlude any uncertainties about your answer or ambiguity in the task."
+      },
+      {
+        "prefix": "Qualified:",
+        "description": "${qualified}"
+      }
+    ]
+  },
+  "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": "3.11",
+      "dspy": "3.1.2",
+      "cloudpickle": "3.1"
+    }
+  }
+}