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"
    }
  }
}

Esempio di output

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

Costo stimato

Token di input per chiamata : ≈ 410

Solo costo di input, esclusa la risposta del modello. Prezzi pubblici standard dei fornitori (Mistral AI, DeepSeek, OpenAI, Anthropic) convertiti da USD in euro al cambio BCE del 29 settembre 2026. Stima: 1 token ≈ 3,6 caratteri.

Identificativo

contextetech--classify-support-ticket

Tipo

Schemi di output

File

classify-support-ticket.schema.json

Formato

JSON (application/json)

Dimensione

723 byte

Codifica

UTF-8

Token stimati

≈ 201

Lingua

Inglese

Licenza

MIT

Uso commerciale

Consentito

Dati personali

Nessuno

Versione

1.0

Pubblicato il

2 ottobre 2026 alle ore 21:54

Aggiornato il

2 ottobre 2026 alle ore 21:54

Archiviazione

nel database

Utilizzi

0

Mi piace

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"
    }
  }
}

API Anthropic (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": "il tuo input qui"}])
print(resp.content[0].input)

Formato OpenAI (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
  }
}