File Upload

Envie arquivos para serem processados e adicionados à Base de Conhecimento como artigos.

Upload PDF

Scope: write_all

POST https://app.quickchat.ai/v1/api/knowledge_base/file_upload_api/pdf

Envie um arquivo PDF. O conteúdo é extraído e adicionado como um artigo.

Shell

curl -X POST https://app.quickchat.ai/v1/api/knowledge_base/file_upload_api/pdf \
  -H 'Authorization: Bearer <API_TOKEN>' \
  -F 'pdf_file=@document.pdf'

Python

import requests

with open("document.pdf", "rb") as f:
    response = requests.post(
        url="https://app.quickchat.ai/v1/api/knowledge_base/file_upload_api/pdf",
        headers={"Authorization": "Bearer <API_TOKEN>"},
        files={"pdf_file": f},
    )
data = response.json()

Response 200 OK

{
  "status": "success",
  "message": "File processed successfully.",
  "article": {
    "id": 1234,
    "title": "document.pdf"
  }
}

Field	Description
status string	Status do processamento
message string	Mensagem de resultado legível por humanos
article object	O artigo criado

Upload File

Scope: write_all

POST https://app.quickchat.ai/v1/api/knowledge_base/file_upload_api/

Envie um arquivo suportado (PDF, DOCX). O conteúdo é extraído e adicionado como um artigo.

Shell

curl -X POST https://app.quickchat.ai/v1/api/knowledge_base/file_upload_api/ \
  -H 'Authorization: Bearer <API_TOKEN>' \
  -F 'file=@document.docx'

Python

import requests

with open("document.docx", "rb") as f:
    response = requests.post(
        url="https://app.quickchat.ai/v1/api/knowledge_base/file_upload_api/",
        headers={"Authorization": "Bearer <API_TOKEN>"},
        files={"file": f},
    )
data = response.json()

Response 200 OK — Mesmo schema de Upload PDF.

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