I’m trying to call new embedding models from Azure openAI using Custom Web API skillset. My Json is defined this way:

{
  "name": "skillset-name",
  "description": "",
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Custom.WebApiSkill",
      "name": "Text Embedding",
      "description": "",
      "context": "/document",
      "uri": "https://my_endpoint/openai/deployments/text-embedding-3-small/embeddings?api-version=2024-02-01&model=text-embedding-3-small&dimensions=512",
      "httpMethod": "POST",
      "timeout": "PT30S",
      "batchSize": 1000,
      "degreeOfParallelism": null,
      "inputs": [
        {
          "name": "input",
          "source": "/document/representacao_vetorial"
        }
      ],
      "outputs": [
        {
          "name": "embedding",
          "targetName": "vetor"
        }
      ],
      "httpHeaders": {
        "api-key": "api-key"
      },
      "authIdentity": null
    }
  ],
  "cognitiveServices": {
    "@odata.type": "#Microsoft.Azure.Search.DefaultCognitiveServices",
    "description": null
  },
  "knowledgeStore": null,
  "indexProjections": null,
  "encryptionKey": null
}

But when the indexer run, I’m getting this error:

Web Api response status: 'BadRequest', Web Api response details: '{
  "error": {
    "message": "'input' is a required property",
    "type": "invalid_request_error",
    "param": null,
    "code": null
  }
}
'

What am I missing? How to pass ‘input’ parameter to API call?