## Validate Google Vertex access

### cURL

```
curl --request POST \
  --url https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '\n{
  "project_id": "my-gcp-project",
  "location": "us-central1",
  "auth_type": "google_service_account",
  "model_api_family": "vertex_gemini",
  "target_service_account": "vertex-runner@my-gcp-project.iam.gserviceaccount.com",
  "credentials": {},
  "model": "gemini-1.5-pro"
}
'```

### Python

```
import requests

url = "https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate"

payload = {
    "project_id": "my-gcp-project",
    "location": "us-central1",
    "auth_type": "google_service_account",
    "model_api_family": "vertex_gemini",
    "target_service_account": "vertex-runner@my-gcp-project.iam.gserviceaccount.com",
    "credentials": {},
    "model": "gemini-1.5-pro"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
```

### JavaScript

```
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    project_id: 'my-gcp-project',
    location: 'us-central1',
    auth_type: 'google_service_account',
    model_api_family: 'vertex_gemini',
    target_service_account: 'vertex-runner@my-gcp-project.iam.gserviceaccount.com',
    credentials: {},
    model: 'gemini-1.5-pro'
  })
};

fetch('https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
```

### PHP

```
<?php

$curl = curl_init();

curl_setopt_array($curl, [\
  CURLOPT_URL => "https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate",
  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' => 'my-gcp-project',
    'location' => 'us-central1',
    'auth_type' => 'google_service_account',
    'model_api_family' => 'vertex_gemini',
    'target_service_account' => 'vertex-runner@my-gcp-project.iam.gserviceaccount.com',
    'credentials' => [

],
    'model' => 'gemini-1.5-pro'
  ]),\
  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;
}
}
```

### Go

```
package main

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

func main() {

url := "https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate"

payload := strings.NewReader("{\n  \"project_id\": \"my-gcp-project\",\n  \"location\": \"us-central1\",\n  \"auth_type\": \"google_service_account\",\n  \"model_api_family\": \"vertex_gemini\",\n  \"target_service_account\": \"vertex-runner@my-gcp-project.iam.gserviceaccount.com\",\n  \"credentials\": {},\n  \"model\": \"gemini-1.5-pro\"}")

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))
}
```

### Java

```
HttpResponse<String> response = Unirest.post("https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"project_id\": \"my-gcp-project\",\n  \"location\": \"us-central1\",\n  \"auth_type\": \"google_service_account\",\n  \"model_api_family\": \"vertex_gemini\",\n  \"target_service_account\": \"vertex-runner@my-gcp-project.iam.gserviceaccount.com\",\n  \"credentials\": {},\n  \"model\": \"gemini-1.5-pro\"}")
  .asString();
```

### Ruby

```
require 'uri'
require 'net/http'

url = URI("https://app.barndoor.ai/api/llm-gateway/admin/connections/google-vertex-validate")

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  \"project_id\": \"my-gcp-project\",\n  \"location\": \"us-central1\",\n  \"auth_type\": \"google_service_account\",\n  \"model_api_family\": \"vertex_gemini\",\n  \"target_service_account\": \"vertex-runner@my-gcp-project.iam.gserviceaccount.com\",\n  \"credentials\": {},\n  \"model\": \"gemini-1.5-pro\"}"

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

### Response

- **200**: \n  ```json
  {
    "ok": true
  }
  ```

- **400**: \n  ```json
  {
    "error": "BadRequest",
    "message": "request_timeout_secs must be between 1 and 3600"
  }
  ```

### Authorizations

#### Authorization
- **Type**: `string`
- **In**: `header`
- **Required**: `Yes`
- **Description**: JWT obtained through Barndoor's authentication flow. Pass the token verbatim in `Authorization: Bearer <token>`. Use the Barndoor SDK's `loginInteractive()` helper to obtain a token in scripts and notebooks.

### Body
| Field                 | Type       | Required | Example                           |
|-----------------------|------------|----------|-----------------------------------|
| project_id            | string     | Yes      | "my-gcp-project"                |
| location              | string     | Yes      | "us-central1"                   |
| auth_type             | string     | No       | "google_service_account"         |
| model_api_family      | enum       | No       | "vertex_gemini"                 |
| target_service_account | string     | No       | "vertex-runner@my-gcp-project.iam.gserviceaccount.com" |
| credentials           | object     | No       | {}                                |
| model                 | string     | No       | "gemini-1.5-pro"                |