const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'My Study Component',
    config: {
      model: 'gpt-4o-mini-2024-07-18',
      materials: ['<string>'],
      folders: ['<string>'],
      systemPrompt: '<string>',
      temperature: 1,
      maxTokens: 123,
      enableWebSearch: true,
      enableRAGSearch: true,
      enableHistory: true,
      enableVoice: true,
      enableFollowUps: true,
      enableComponentCreation: true,
      maxSteps: 123,
      enableGuardrails: true,
      enableMessageGrading: true,
      guardrailRules: [
        {
          id: 'rule-1',
          description: 'No direct homework answers',
          condition: 'The AI response provides direct answers to homework',
          action: 'block',
          message: 'I cannot provide direct answers to homework questions.'
        }
      ],
      enableReferenceMode: true
    },
    description: 'A component for studying biology',
    metadata: {}
  })
};

fetch('https://studyfetchapi.com/api/v1/components', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

curl --request POST \
  --url https://studyfetchapi.com/api/v1/components \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "My Study Component",
  "config": {
    "model": "gpt-4o-mini-2024-07-18",
    "materials": [
      "<string>"
    ],
    "folders": [
      "<string>"
    ],
    "systemPrompt": "<string>",
    "temperature": 1,
    "maxTokens": 123,
    "enableWebSearch": true,
    "enableRAGSearch": true,
    "enableHistory": true,
    "enableVoice": true,
    "enableFollowUps": true,
    "enableComponentCreation": true,
    "maxSteps": 123,
    "enableGuardrails": true,
    "enableMessageGrading": true,
    "guardrailRules": [
      {
        "id": "rule-1",
        "description": "No direct homework answers",
        "condition": "The AI response provides direct answers to homework",
        "action": "block",
        "message": "I cannot provide direct answers to homework questions."
      }
    ],
    "enableReferenceMode": true
  },
  "description": "A component for studying biology",
  "metadata": {}
}
'

import requests

url = "https://studyfetchapi.com/api/v1/components"

payload = {
    "name": "My Study Component",
    "config": {
        "model": "gpt-4o-mini-2024-07-18",
        "materials": ["<string>"],
        "folders": ["<string>"],
        "systemPrompt": "<string>",
        "temperature": 1,
        "maxTokens": 123,
        "enableWebSearch": True,
        "enableRAGSearch": True,
        "enableHistory": True,
        "enableVoice": True,
        "enableFollowUps": True,
        "enableComponentCreation": True,
        "maxSteps": 123,
        "enableGuardrails": True,
        "enableMessageGrading": True,
        "guardrailRules": [
            {
                "id": "rule-1",
                "description": "No direct homework answers",
                "condition": "The AI response provides direct answers to homework",
                "action": "block",
                "message": "I cannot provide direct answers to homework questions."
            }
        ],
        "enableReferenceMode": True
    },
    "description": "A component for studying biology",
    "metadata": {}
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "_id": "<string>",
  "componentId": "<string>",
  "type": "chat",
  "name": "<string>",
  "organization": "<string>",
  "config": {},
  "status": "active",
  "usage": {},
  "createdAt": "2023-11-07T05:31:56Z",
  "updatedAt": "2023-11-07T05:31:56Z",
  "description": "<string>"
}