API

Learn more about the details of some of the most used APIs: prediction, vector-upsert

Consult all public API references

Prediction

Create a new prediction

post /prediction/{id}

Authorizations

Path parameters

Body

HTTP

POST /prediction/{id} HTTP/1.1
Host: 
Authorization: Bearer JWT
Content-Type: multipart/form-data
Accept: */*
Content-Length: 53

{
  "question": "text",
  "files": [
    "binary"
  ],
  "modelName": ""
}

cURL

curl -L \
--request POST \
--url '/prediction/{id}' \
--header 'Authorization: Bearer JWT' \
--header 'Content-Type: multipart/form-data' \
--form 'question=text' \
--form 'files=binary' \
--form 'modelName='

JavaScript

  const formData = new FormData();

  formData.append("question", "text");
  formData.append("files", "binary");
  formData.append("modelName", "");

  const response = await fetch('/prediction/{id}', {
      method: 'POST',
      headers: {
        "Authorization": "Bearer JWT",
        "Content-Type": "multipart/form-data"
      },
      body: formData
  });

  const data = await response.json();

Python

  import requests

  files = {
      "question": "text",
      "files": "binary",
      "modelName": "",
  }

  response = requests.post(
      "/prediction/{id}",
      headers={"Authorization":"Bearer JWT","Content-Type":"multipart/form-data"},
      files=files
  )

  data = response.json()