JSON schema: classify a support ticket

JSON Schema to classify a support ticket: category, priority, sentiment, one-sentence summary and next action for the support team.

Read the customer's message and classify it. Priority is high when the customer is blocked or threatens to cancel.

JSON Schema

{
  "type": "object",
  "required": [
    "category",
    "priority",
    "summary"
  ],
  "properties": {
    "summary": {
      "type": "string",
      "description": "One sentence"
    },
    "category": {
      "enum": [
        "billing",
        "technical",
        "shipping",
        "account",
        "other"
      ],
      "type": "string"
    },
    "priority": {
      "enum": [
        "low",
        "normal",
        "high"
      ],
      "type": "string"
    },
    "sentiment": {
      "enum": [
        "positive",
        "neutral",
        "negative"
      ],
      "type": "string"
    },
    "next_action": {
      "type": "string",
      "description": "What the support team should do"
    }
  }
}

Beispielausgabe

{
  "category": "shipping",
  "priority": "high",
  "sentiment": "negative",
  "summary": "Package marked as delivered but never received.",
  "next_action": "Open a carrier claim and offer a replacement."
}

Geschätzte Kosten

Eingabe-Tokens pro Aufruf : ≈ 410

Nur Eingabekosten, ohne die Antwort des Modells. Öffentliche Standardpreise der Anbieter (Mistral AI, DeepSeek, OpenAI, Anthropic) von USD in Euro umgerechnet zum EZB-Kurs vom 29. September 2026. Schätzung: 1 Token ≈ 3,6 Zeichen.

Kennung

contextetech--classify-support-ticket

Typ

Ausgabeschemas

Datei

classify-support-ticket.schema.json

Format

JSON (application/json)

Größe

723 Bytes

Kodierung

UTF-8

Geschätzte Tokens

≈ 201

Sprache

Englisch

Lizenz

MIT

Kommerzielle Nutzung

Erlaubt

Personenbezogene Daten

Keine

Version

1.0

Veröffentlicht am

2. Oktober 2026 um 21:54

Aktualisiert am

2. Oktober 2026 um 21:54

Speicherung

in der Datenbank

Nutzungen

0

Gefällt mir

0

classify-support-ticket.schema.json

{
  "type": "object",
  "required": [
    "category",
    "priority",
    "summary"
  ],
  "properties": {
    "summary": {
      "type": "string",
      "description": "One sentence"
    },
    "category": {
      "enum": [
        "billing",
        "technical",
        "shipping",
        "account",
        "other"
      ],
      "type": "string"
    },
    "priority": {
      "enum": [
        "low",
        "normal",
        "high"
      ],
      "type": "string"
    },
    "sentiment": {
      "enum": [
        "positive",
        "neutral",
        "negative"
      ],
      "type": "string"
    },
    "next_action": {
      "type": "string",
      "description": "What the support team should do"
    }
  }
}

Anthropic-API (Python)

import json, anthropic

schema = json.load(open("classify-support-ticket.schema.json"))
client = anthropic.Anthropic()
resp = client.messages.create(model="claude-sonnet-5", max_tokens=1024,
    tools=[{"name": "extraire", "description": "Renvoie les données extraites", "input_schema": schema}],
    tool_choice={"type": "tool", "name": "extraire"},
    messages=[{"role": "user", "content": "deine Eingabe hier"}])
print(resp.content[0].input)

OpenAI-Format (response_format)

{
  "type": "json_schema",
  "json_schema": {
    "name": "classify-support-ticket",
    "schema": {
      "type": "object",
      "required": [
        "category",
        "priority",
        "summary"
      ],
      "properties": {
        "summary": {
          "type": "string",
          "description": "One sentence"
        },
        "category": {
          "enum": [
            "billing",
            "technical",
            "shipping",
            "account",
            "other"
          ],
          "type": "string"
        },
        "priority": {
          "enum": [
            "low",
            "normal",
            "high"
          ],
          "type": "string"
        },
        "sentiment": {
          "enum": [
            "positive",
            "neutral",
            "negative"
          ],
          "type": "string"
        },
        "next_action": {
          "type": "string",
          "description": "What the support team should do"
        }
      }
    },
    "strict": true
  }
}