curl --request POST \
  --url https://api.torchcast.ai/v1/decisions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "model": "torchcast-decider-latest",
  "state": "The app crashes every time I open the settings page. Very frustrating.",
  "questions": {
    "defect": {
      "type": "noul",
      "instructions": "Is this a product defect?",
      "criteria": {
        "true": "The customer describes a bug in the product.",
        "false": "Anything else, such as a question or a feature request."
      }
    },
    "sentiment": {
      "type": "choice",
      "instructions": "What is the customer's sentiment?",
      "criteria": {
        "positive": "Happy with the product.",
        "mixed": "Both happy and unhappy.",
        "negative": "Unhappy with the product."
      }
    },
    "severity": {
      "type": "score",
      "instructions": "How severe is the issue?",
      "criteria": [
        "Cosmetic",
        "Inconvenient",
        "Product unusable"
      ]
    }
  }
}
EOF

import requests

url = "https://api.torchcast.ai/v1/decisions"

payload = {
    "model": "torchcast-decider-latest",
    "state": "The app crashes every time I open the settings page. Very frustrating.",
    "questions": {
        "defect": {
            "type": "noul",
            "instructions": "Is this a product defect?",
            "criteria": {
                "true": "The customer describes a bug in the product.",
                "false": "Anything else, such as a question or a feature request."
            }
        },
        "sentiment": {
            "type": "choice",
            "instructions": "What is the customer's sentiment?",
            "criteria": {
                "positive": "Happy with the product.",
                "mixed": "Both happy and unhappy.",
                "negative": "Unhappy with the product."
            }
        },
        "severity": {
            "type": "score",
            "instructions": "How severe is the issue?",
            "criteria": ["Cosmetic", "Inconvenient", "Product unusable"]
        }
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'torchcast-decider-latest',
    state: 'The app crashes every time I open the settings page. Very frustrating.',
    questions: {
      defect: {
        type: 'noul',
        instructions: 'Is this a product defect?',
        criteria: {
          true: 'The customer describes a bug in the product.',
          false: 'Anything else, such as a question or a feature request.'
        }
      },
      sentiment: {
        type: 'choice',
        instructions: 'What is the customer\'s sentiment?',
        criteria: {
          positive: 'Happy with the product.',
          mixed: 'Both happy and unhappy.',
          negative: 'Unhappy with the product.'
        }
      },
      severity: {
        type: 'score',
        instructions: 'How severe is the issue?',
        criteria: ['Cosmetic', 'Inconvenient', 'Product unusable']
      }
    }
  })
};

fetch('https://api.torchcast.ai/v1/decisions', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));