Google Models

POST https://api.turing.sh/text/google

Parameters

• messages

  • Type: array
  • Required: true

• model

  • Type: string
  • Required: false
  • Options: gemini-pro, gemini-pro-vision
  • Default: gemini-pro

• max_tokens

  • Type: number
  • Required: false
  • Default: 512

• temperature

  • Type: number
  • Required: false
  • Default: 0.9

• id

  • Type: string
  • Required: false
  • Description: ID of the conversation (used for data saving)
  • Default: bfb34ea4-dc9d-4f8e-b07d-e169e113d951

Response

• cost

  • Type: number
  • Description: Cost of the request in USD

• result

  • Type: string
  • Description: Result of the request

• done

  • Type: boolean
  • Description: Whether the request is done or not

• id

  • Type: string
  • Description: ID of the conversation (used for data saving)

Examples

import axios from "axios";
(async () => {
  let response = await axios({
    method: "post",
    url: 'https://api.turing.sh/text/google',
    headers: {
      "Content-Type": "application/json",
      Authorization: "Bearer YOUR_API_KEY",
      "x-captcha-token": "Captcha key"
    },
    data: {
"messages": "array",
"model": "gemini-pro",
"max_tokens": 512,
"temperature": 0.9,
"id": "bfb34ea4-dc9d-4f8e-b07d-e169e113d951"
},
  })
})();

import requests
import json
response = requests.post(
  "https://api.turing.sh/text/google",
  headers={
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY",
    "x-captcha-token": "Captcha key"
  },
  data=json.dumps({
"messages": "array",
"model": "gemini-pro",
"max_tokens": 512,
"temperature": 0.9,
"id": "bfb34ea4-dc9d-4f8e-b07d-e169e113d951"
}),
)