completed openai batch work

analysis/jobs/f452-1/prompt.txt

@@ -0,0 +1,23 @@
+You are an expert policy analyst classifying public comments submitted to the Virginia Town Hall
+regulatory comment system. You will be given the text of a proposed regulation and a single
+public comment. Return ONLY a JSON object — no other text.
+
+Definitions:
+- stance: the commenter's position on whether the regulation should be adopted.
+  "support" = wants it approved (as-is or with changes);
+  "oppose"  = wants it rejected or substantially weakened;
+  "neutral" = takes no position, asks a question, or provides factual input only;
+  "unknown" = too vague, off-topic, or uninterpretable to classify.
+- tone: the emotional register of the writing, independent of stance.
+  "positive" = affirming, hopeful, appreciative;
+  "negative" = angry, fearful, alarmed, or contemptuous;
+  "neutral"  = matter-of-fact, procedural, or informational;
+  "mixed"    = contains both positive and negative emotional content;
+  "unclear"  = tone cannot be determined (e.g., a one-word comment).
+- stance_confidence: float 0.0-1.0, your confidence in the stance label.
+- stance_rationale: 1-3 sentences explaining the key evidence; quote specific phrases where possible.
+- tags: up to 5 short topic labels relevant to the comment's specific concerns (e.g.
+  "parental rights", "student safety", "privacy", "religious freedom", "LGBTQ+ inclusion",
+  "bullying prevention", "school sports", "bathroom access"). Empty array if none apply.
+
+Return exactly these keys: stance, stance_confidence, stance_rationale, tone, tags.

analysis/jobs/f452-1/report.json

@@ -0,0 +1,43 @@
+{
+  "prompt": "analysis\\prompt-1.txt",
+  "prompt_hash": "cb41250",
+  "input_file": "output\\f452.jsonl",
+  "input_sha256": "59dcc8b13cc2a386977a8b934c498c7e639b7e684a94ca1bfd10a14878670018",
+  "total_comments": 9083,
+  "input_tokens": 6397254,
+  "gpt-5.5": {
+    "jobs": 9,
+    "cost_$": 15.9931,
+    "est_queue_days": 7.11
+  },
+  "gpt-5.4": {
+    "jobs": 9,
+    "cost_$": 7.9966,
+    "est_queue_days": 7.11
+  },
+  "gpt-5.4-mini": {
+    "jobs": 4,
+    "cost_$": 2.399,
+    "est_queue_days": 3.2
+  },
+  "gpt-5.4-nano": {
+    "jobs": 40,
+    "cost_$": 0.6397,
+    "est_queue_days": 31.99
+  },
+  "gpt-4o": {
+    "jobs": 9,
+    "cost_$": 7.9966,
+    "est_queue_days": 7.11
+  },
+  "gpt-4o-mini": {
+    "jobs": 4,
+    "cost_$": 0.4798,
+    "est_queue_days": 3.2
+  },
+  "gpt-o4-mini": {
+    "jobs": 4,
+    "cost_$": 3.5185,
+    "est_queue_days": 3.2
+  }
+}

analysis/jobs/f452-1/status.json

@@ -0,0 +1,57 @@
+{
+  "model": "gpt-5.4-mini",
+  "prompt_hash": "cb41250",
+  "input_file": "output\\f452.jsonl",
+  "input_sha256": "59dcc8b13cc2a386977a8b934c498c7e639b7e684a94ca1bfd10a14878670018",
+  "total_comments": 9083,
+  "input_tokens": 6397254,
+  "est_queue_days": 3.2,
+  "cost_$": 2.399,
+  "total_jobs": 4,
+  "jobs": [
+    {
+      "job_num": 1,
+      "run_id": "76c97113-63aa-43db-8f84-9c60ebcbb105",
+      "status": "completed",
+      "batch_id": "batch_69fb9081639881909be0c40d86edd747",
+      "records_submitted": 2270,
+      "records_completed": 2270,
+      "records_failed": 0,
+      "submitted_at": "2026-05-06T19:03:28.949240+00:00",
+      "completed_at": "2026-05-06T20:09:14+00:00"
+    },
+    {
+      "job_num": 2,
+      "run_id": "b8f3b0bb-f155-4a5c-acce-f3504c0e09aa",
+      "status": "completed",
+      "batch_id": "batch_69fba02df7b481909e96afa1ee8879f5",
+      "records_submitted": 2274,
+      "records_completed": 2274,
+      "records_failed": 0,
+      "submitted_at": "2026-05-06T20:10:21.424330+00:00",
+      "completed_at": "2026-05-06T20:37:11+00:00"
+    },
+    {
+      "job_num": 3,
+      "run_id": "8d769f37-6beb-4a1b-87ee-3f66cdc6adc8",
+      "status": "completed",
+      "batch_id": "batch_69fba69a85488190977792b6f95b614b",
+      "records_submitted": 2282,
+      "records_completed": 2282,
+      "records_failed": 0,
+      "submitted_at": "2026-05-06T20:37:45.586815+00:00",
+      "completed_at": "2026-05-06T21:09:24+00:00"
+    },
+    {
+      "job_num": 4,
+      "run_id": "e6affbc2-ddc9-43a6-b8e9-d1f47e736283",
+      "status": "completed",
+      "batch_id": "batch_69fbe44565748190ad19f17ee3143f8d",
+      "records_submitted": 2257,
+      "records_completed": 2257,
+      "records_failed": 0,
+      "submitted_at": "2026-05-07T01:00:52.886953+00:00",
+      "completed_at": "2026-05-07T09:20:01+00:00"
+    }
+  ]
+}