Create and install a scoped PyAI project key
curl --request POST \
--url https://api.pyai.com/auth/vercel/requests/{id}/connect \
--header 'Content-Type: application/json' \
--cookie pyai_session= \
--data '
{
"project_id": "<string>",
"vercel_project_id": "<string>",
"confirm": true
}
'import requests
url = "https://api.pyai.com/auth/vercel/requests/{id}/connect"
payload = {
"project_id": "<string>",
"vercel_project_id": "<string>",
"confirm": True
}
headers = {
"cookie": "pyai_session=",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {cookie: 'pyai_session=', 'Content-Type': 'application/json'},
body: JSON.stringify({project_id: '<string>', vercel_project_id: '<string>', confirm: true})
};
fetch('https://api.pyai.com/auth/vercel/requests/{id}/connect', 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.pyai.com/auth/vercel/requests/{id}/connect",
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([
'project_id' => '<string>',
'vercel_project_id' => '<string>',
'confirm' => true
]),
CURLOPT_COOKIE => "pyai_session=",
CURLOPT_HTTPHEADER => [
"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.pyai.com/auth/vercel/requests/{id}/connect"
payload := strings.NewReader("{\n \"project_id\": \"<string>\",\n \"vercel_project_id\": \"<string>\",\n \"confirm\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("cookie", "pyai_session=")
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.pyai.com/auth/vercel/requests/{id}/connect")
.header("cookie", "pyai_session=")
.header("Content-Type", "application/json")
.body("{\n \"project_id\": \"<string>\",\n \"vercel_project_id\": \"<string>\",\n \"confirm\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pyai.com/auth/vercel/requests/{id}/connect")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["cookie"] = 'pyai_session='
request["Content-Type"] = 'application/json'
request.body = "{\n \"project_id\": \"<string>\",\n \"vercel_project_id\": \"<string>\",\n \"confirm\": true\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"status": "pending",
"configuration_id": "<string>",
"team_id": "<string>",
"project_id": "<string>",
"vercel_project_id": "<string>",
"expires_at": 123,
"scopes": [
"<string>"
],
"environment_cleanup_required": true,
"next": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}Integrations
Create and install a scoped PyAI project key
Requires a signed-in PyAI console session and an allowed browser Origin. Available only when the Vercel integration is enabled. Key creation and disconnection require owner/admin project access.
POST
/
auth
/
vercel
/
requests
/
{id}
/
connect
Create and install a scoped PyAI project key
curl --request POST \
--url https://api.pyai.com/auth/vercel/requests/{id}/connect \
--header 'Content-Type: application/json' \
--cookie pyai_session= \
--data '
{
"project_id": "<string>",
"vercel_project_id": "<string>",
"confirm": true
}
'import requests
url = "https://api.pyai.com/auth/vercel/requests/{id}/connect"
payload = {
"project_id": "<string>",
"vercel_project_id": "<string>",
"confirm": True
}
headers = {
"cookie": "pyai_session=",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {cookie: 'pyai_session=', 'Content-Type': 'application/json'},
body: JSON.stringify({project_id: '<string>', vercel_project_id: '<string>', confirm: true})
};
fetch('https://api.pyai.com/auth/vercel/requests/{id}/connect', 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.pyai.com/auth/vercel/requests/{id}/connect",
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([
'project_id' => '<string>',
'vercel_project_id' => '<string>',
'confirm' => true
]),
CURLOPT_COOKIE => "pyai_session=",
CURLOPT_HTTPHEADER => [
"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.pyai.com/auth/vercel/requests/{id}/connect"
payload := strings.NewReader("{\n \"project_id\": \"<string>\",\n \"vercel_project_id\": \"<string>\",\n \"confirm\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("cookie", "pyai_session=")
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.pyai.com/auth/vercel/requests/{id}/connect")
.header("cookie", "pyai_session=")
.header("Content-Type", "application/json")
.body("{\n \"project_id\": \"<string>\",\n \"vercel_project_id\": \"<string>\",\n \"confirm\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pyai.com/auth/vercel/requests/{id}/connect")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["cookie"] = 'pyai_session='
request["Content-Type"] = 'application/json'
request.body = "{\n \"project_id\": \"<string>\",\n \"vercel_project_id\": \"<string>\",\n \"confirm\": true\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"status": "pending",
"configuration_id": "<string>",
"team_id": "<string>",
"project_id": "<string>",
"vercel_project_id": "<string>",
"expires_at": 123,
"scopes": [
"<string>"
],
"environment_cleanup_required": true,
"next": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}{
"title": "<string>",
"status": 123,
"type": "<string>",
"detail": "<string>",
"request_id": "<string>"
}Authorizations
Console session cookie. PyAI-admin routes also require the configured platform-admin email allowlist.
Path Parameters
Response
Connection metadata; credentials are never returned.
Available options:
pending, exchanging, ready, installing, connected, failed, disconnecting, disconnected