curl --request POST \
  --url https://api.example.com/api/v1/llm-profiles \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "default_model": "<string>",
  "api_key": "<string>"
}
'

import requests

url = "https://api.example.com/api/v1/llm-profiles"

payload = {
    "name": "<string>",
    "default_model": "<string>",
    "api_key": "<string>"
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({name: '<string>', default_model: '<string>', api_key: '<string>'})
};

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

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "provider_kind": "openai_compatible",
  "base_url": "<string>",
  "api_key": "<string>",
  "default_model": "<string>",
  "extra_headers": {},
  "is_default": true,
  "is_active": true,
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}