claude-opus-4-7 (File Analysis)

curl --location 'https://gptproto.com/v1/chat/completions' \
--header 'Authorization: GPTPROTO_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please analyze this PDF document and provide a summary of its content"
        },
        {
          "type": "file",
          "file": {
            "filename": "gptproto.pdf",
            "file_data": "https://tos.gptproto.com/resource/gptproto.pdf"
          }
        }
      ]
    }
  ],
  "max_tokens": 1000,
  "stream": false
}'

const axios = require('axios');
let data = JSON.stringify({
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please analyze this PDF document and provide a summary of its content"
        },
        {
          "type": "file",
          "file": {
            "filename": "gptproto.pdf",
            "file_data": "https://tos.gptproto.com/resource/gptproto.pdf"
          }
        }
      ]
    }
  ],
  "max_tokens": 1000,
  "stream": false
});

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://gptproto.com/v1/chat/completions',
  headers: { 
    'Authorization': 'GPTPROTO_API_KEY', 
    'Content-Type': 'application/json'
  },
  data : data
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

import requests
import json

url = "https://gptproto.com/v1/chat/completions"

payload = json.dumps({
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please analyze this PDF document and provide a summary of its content"
        },
        {
          "type": "file",
          "file": {
            "filename": "gptproto.pdf",
            "file_data": "https://tos.gptproto.com/resource/gptproto.pdf"
          }
        }
      ]
    }
  ],
  "max_tokens": 1000,
  "stream": False
})
headers = {
  'Authorization': 'GPTPROTO_API_KEY',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

package main

import (
  "fmt"
  "strings"
  "net/http"
  "io"
)

func main() {

  url := "https://gptproto.com/v1/chat/completions"
  method := "POST"

  payload := strings.NewReader(`{
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please analyze this PDF document and provide a summary of its content"
        },
        {
          "type": "file",
          "file": {
            "filename": "gptproto.pdf",
            "file_data": "https://tos.gptproto.com/resource/gptproto.pdf"
          }
        }
      ]
    }
  ],
  "max_tokens": 1000,
  "stream": false
}`)

  client := &http.Client {
  }
  req, err := http.NewRequest(method, url, payload)

  if err != nil {
    fmt.Println(err)
    return
  }
  req.Header.Add("Authorization", "GPTPROTO_API_KEY")
  req.Header.Add("Content-Type", "application/json")

  res, err := client.Do(req)
  if err != nil {
    fmt.Println(err)
    return
  }
  defer res.Body.Close()

  body, err := io.ReadAll(res.Body)
  if err != nil {
    fmt.Println(err)
    return
  }
  fmt.Println(string(body))
}