curl --request POST \
  --url https://api.memcontext.in/api/context-vault/memories/{memoryId}/correction \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "correctedContent": "<string>"
}
'

const options = {
  method: 'POST',
  headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    workspaceId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    correctedContent: '<string>'
  })
};

fetch('https://api.memcontext.in/api/context-vault/memories/{memoryId}/correction', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.memcontext.in/api/context-vault/memories/{memoryId}/correction"

payload = {
    "workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "correctedContent": "<string>"
}
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "success": true,
  "memory": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "content": "<string>",
    "memoryType": "document",
    "createdAt": "2023-11-07T05:31:56Z",
    "category": "<string>",
    "scope": "<string>",
    "project": "<string>",
    "sourceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "sourceTitle": "<string>",
    "sourceUrl": "<string>"
  },
  "updatedChunkCount": 123
}