Use Jev to verify agent outcomes

curl -sS https://router.flatkey.ai/api/alpha/decisions \
  -H "Authorization: Bearer $FLATKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "typesafe/jev-1.13",
  "state": "Ticket: Rename column customers.phone_no to customers.phone. Keep all data.\n\nAgent claim: \"Migration complete. Column renamed, all checks passed.\"\n\nObserved state diff:\n  customers.phone_no: dropped\n  customers.phone: added, 0 / 48,213 rows non-null (was 47,960 non-null)\n  row count: 48,213 -> 48,213\n  orders, invoices: unchanged\n\nTask: outcome (verified / mismatch / data_loss / unclear), destructive_change, blast_radius.",
  "questions": {
    "outcome": {
      "type": "choice",
      "instructions": "An agent has just run against a database. Compare the ticket'\''s intended outcome with the OBSERVED state change (schema diff, row counts, null rates, sample rows). Ignore how confident the agent'\''s own summary sounds. What is the outcome?",
      "criteria": {
        "verified": "The observed change matches the ticket'\''s intent and nothing outside the requested scope changed",
        "mismatch": "The change is incomplete, applied to the wrong rows or table, or differs from the intent, but no data was destroyed",
        "data_loss": "Columns, rows, or values the ticket did not ask to remove were dropped, nulled, or overwritten",
        "unclear": "The evidence is missing or too thin to tell whether the outcome matches the intent"
      }
    },
    "destructive_change": {
      "type": "noul",
      "instructions": "The observed state change destroyed or corrupted data outside the ticket'\''s scope (dropped column, mass delete, overwritten or nulled values)."
    },
    "blast_radius": {
      "type": "score",
      "instructions": "How much production data or downstream behavior is affected by the observed change?",
      "criteria": [
        "none",
        "contained",
        "wide"
      ]
    }
  }
}'

// Node.js 18+ (built-in fetch). Run: FLATKEY_API_KEY=... node jev.mjs
const body = {
  "model": "typesafe/jev-1.13",
  "state": "Ticket: Rename column customers.phone_no to customers.phone. Keep all data.\n\nAgent claim: \"Migration complete. Column renamed, all checks passed.\"\n\nObserved state diff:\n  customers.phone_no: dropped\n  customers.phone: added, 0 / 48,213 rows non-null (was 47,960 non-null)\n  row count: 48,213 -> 48,213\n  orders, invoices: unchanged\n\nTask: outcome (verified / mismatch / data_loss / unclear), destructive_change, blast_radius.",
  "questions": {
    "outcome": {
      "type": "choice",
      "instructions": "An agent has just run against a database. Compare the ticket's intended outcome with the OBSERVED state change (schema diff, row counts, null rates, sample rows). Ignore how confident the agent's own summary sounds. What is the outcome?",
      "criteria": {
        "verified": "The observed change matches the ticket's intent and nothing outside the requested scope changed",
        "mismatch": "The change is incomplete, applied to the wrong rows or table, or differs from the intent, but no data was destroyed",
        "data_loss": "Columns, rows, or values the ticket did not ask to remove were dropped, nulled, or overwritten",
        "unclear": "The evidence is missing or too thin to tell whether the outcome matches the intent"
      }
    },
    "destructive_change": {
      "type": "noul",
      "instructions": "The observed state change destroyed or corrupted data outside the ticket's scope (dropped column, mass delete, overwritten or nulled values)."
    },
    "blast_radius": {
      "type": "score",
      "instructions": "How much production data or downstream behavior is affected by the observed change?",
      "criteria": [
        "none",
        "contained",
        "wide"
      ]
    }
  }
};

const res = await fetch("https://router.flatkey.ai/api/alpha/decisions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FLATKEY_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(body),
});
if (!res.ok) throw new Error(`Jev request failed: ${res.status} ${await res.text()}`);
const { answers, usage } = await res.json();
console.log(JSON.stringify(answers, null, 2), usage);

# Python 3.8+ (pip install requests). Run: FLATKEY_API_KEY=... python jev.py
import json, os, requests

body = json.loads(r"""{
  "model": "typesafe/jev-1.13",
  "state": "Ticket: Rename column customers.phone_no to customers.phone. Keep all data.\n\nAgent claim: \"Migration complete. Column renamed, all checks passed.\"\n\nObserved state diff:\n  customers.phone_no: dropped\n  customers.phone: added, 0 / 48,213 rows non-null (was 47,960 non-null)\n  row count: 48,213 -> 48,213\n  orders, invoices: unchanged\n\nTask: outcome (verified / mismatch / data_loss / unclear), destructive_change, blast_radius.",
  "questions": {
    "outcome": {
      "type": "choice",
      "instructions": "An agent has just run against a database. Compare the ticket's intended outcome with the OBSERVED state change (schema diff, row counts, null rates, sample rows). Ignore how confident the agent's own summary sounds. What is the outcome?",
      "criteria": {
        "verified": "The observed change matches the ticket's intent and nothing outside the requested scope changed",
        "mismatch": "The change is incomplete, applied to the wrong rows or table, or differs from the intent, but no data was destroyed",
        "data_loss": "Columns, rows, or values the ticket did not ask to remove were dropped, nulled, or overwritten",
        "unclear": "The evidence is missing or too thin to tell whether the outcome matches the intent"
      }
    },
    "destructive_change": {
      "type": "noul",
      "instructions": "The observed state change destroyed or corrupted data outside the ticket's scope (dropped column, mass delete, overwritten or nulled values)."
    },
    "blast_radius": {
      "type": "score",
      "instructions": "How much production data or downstream behavior is affected by the observed change?",
      "criteria": [
        "none",
        "contained",
        "wide"
      ]
    }
  }
}""")

res = requests.post(
    "https://router.flatkey.ai/api/alpha/decisions",
    headers={"Authorization": f"Bearer {os.environ['FLATKEY_API_KEY']}"},
    json=body,
    timeout=60,
)
res.raise_for_status()
data = res.json()
print(json.dumps(data["answers"], indent=2), data.get("usage"))

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