curl --request PUT \
  --url http://studio.premai.io/api/v1/traces/{id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "score": 0.5,
  "feedback": "<string>",
  "projectId": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}
'

import requests

url = "http://studio.premai.io/api/v1/traces/{id}"

payload = {
    "score": 0.5,
    "feedback": "<string>",
    "projectId": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    score: 0.5,
    feedback: '<string>',
    projectId: '3c90c3cc-0d44-4b50-8888-8dd25736052a'
  })
};

fetch('http://studio.premai.io/api/v1/traces/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "createdAt": "2023-11-07T05:31:56Z",
  "modelId": "<string>",
  "projectId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "input": "<string>",
  "output": "<string>",
  "score": 0.5,
  "feedback": "<string>",
  "addedToDataset": true
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}