Create presigned URLs for batch file upload

import { Agentset } from "agentset";
import fs from 'fs';

const agentset = new Agentset({ apiKey: 'agentset_xxx' });
const ns = agentset.namespace('ns_xxx');

const results = await ns.uploads.uploadBatch([
  {
    file: fs.createReadStream("./example-1.md"),
    contentType: "text/markdown",
  },
  {
    file: fs.createReadStream("./example-2.md"),
    contentType: "text/markdown",
  },
]);
console.log("Uploaded successfully: ", results.map((result) => result.key));

// OR get the pre-signed URLs manually
const file1 = fs.readFileSync("./example-1.md");
const file2 = fs.readFileSync("./example-2.md");

const results = await ns.uploads.createBatch({
  files: [
    {
      fileName: "example-1.md",
      fileSize: file1.length,
      contentType: "text/markdown",
    },
    {
      fileName: "example-2.md",
      fileSize: file2.length,
      contentType: "text/markdown",
    },
  ],
});

await Promise.all([file1, file2].map(async (file, i) => {
  await fetch(results[i]!.url, {
    method: "PUT",
    body: file,
    headers: {
      "Content-Type": "text/markdown",
    },
  });
}));

console.log("Upload URLs:", results.map((result) => result.key));

from agentset import Agentset


with Agentset(
    namespace_id="ns_123",
    token="AGENTSET_API_KEY",
) as a_client:

    res = a_client.uploads.create_batch(files=[])

    # Handle response
    print(res)

curl --request POST \
  --url https://api.agentset.ai/v1/namespace/{namespaceId}/uploads/batch \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "files": [
    {
      "fileName": "document.pdf",
      "contentType": "application/pdf",
      "fileSize": 1024
    }
  ]
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    files: [{fileName: 'document.pdf', contentType: 'application/pdf', fileSize: 1024}]
  })
};

fetch('https://api.agentset.ai/v1/namespace/{namespaceId}/uploads/batch', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.agentset.ai/v1/namespace/{namespaceId}/uploads/batch",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'files' => [
        [
                'fileName' => 'document.pdf',
                'contentType' => 'application/pdf',
                'fileSize' => 1024
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.agentset.ai/v1/namespace/{namespaceId}/uploads/batch"

	payload := strings.NewReader("{\n  \"files\": [\n    {\n      \"fileName\": \"document.pdf\",\n      \"contentType\": \"application/pdf\",\n      \"fileSize\": 1024\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.agentset.ai/v1/namespace/{namespaceId}/uploads/batch")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"files\": [\n    {\n      \"fileName\": \"document.pdf\",\n      \"contentType\": \"application/pdf\",\n      \"fileSize\": 1024\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.agentset.ai/v1/namespace/{namespaceId}/uploads/batch")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"files\": [\n    {\n      \"fileName\": \"document.pdf\",\n      \"contentType\": \"application/pdf\",\n      \"fileSize\": 1024\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "data": [
    {
      "url": "<string>",
      "key": "<string>"
    }
  ]
}

{
  "success": false,
  "error": {
    "code": "bad_request",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#bad-request"
  }
}

{
  "success": false,
  "error": {
    "code": "unauthorized",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#unauthorized"
  }
}

{
  "success": false,
  "error": {
    "code": "forbidden",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#forbidden"
  }
}

{
  "success": false,
  "error": {
    "code": "not_found",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#not-found"
  }
}

{
  "success": false,
  "error": {
    "code": "conflict",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#conflict"
  }
}

{
  "success": false,
  "error": {
    "code": "invite_expired",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#invite-expired"
  }
}

{
  "success": false,
  "error": {
    "code": "unprocessable_entity",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#unprocessable-entity"
  }
}

{
  "success": false,
  "error": {
    "code": "rate_limit_exceeded",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#rate-limit_exceeded"
  }
}

{
  "success": false,
  "error": {
    "code": "internal_server_error",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#internal-server_error"
  }
}