使用Google Cloud PHP SDK调用Vertex AI遇503 UNAVAILABLE错误求助
问题详情
使用Google Cloud PHP SDK实现AI预测服务时,调用Vertex AI接口返回503 UNAVAILABLE错误(错误码14),但通过Curl发起完全相同的请求却能得到正常响应。模型标识符$model格式为projects/{project}/locations/{location}/publishers/google/models/*。代码三四天前运行完全正常,当前突然出现该错误。
相关代码
生成内容的核心函数
function generate_content_sample(string $model): void { $predictionServiceClient = new PredictionServiceClient(); $contentsParts = new Part(); $contentsParts->setText("loremp ipsum"); $contentsParts = [new Part()]; $content = (new Content()) ->setRole('user') ->setParts($contentsParts); $contents = [$content,]; $request = (new GenerateContentRequest()) ->setModel($model) ->setContents($contents); try { $response = $predictionServiceClient->generateContent($request); printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString()); } catch (ApiException $ex) { printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage()); } }
控制器调用代码
public function generate(Request $request) { try { $vertexAIService = new VertexAIService(); $projectId = 'Lorem ipsum'; $locationId = 'Lorem ipsum'; $modelId = 'Lorem ipsum'; $formattedEndpoint = sprintf( "projects/%s/locations/%s/publishers/google/models/%s", $projectId, $locationId, $modelId ); // $content = WebScrapingController::scrape($request->url); // $prompt = $request->prompt . ': ' . $content; $response = $vertexAIService->generate_content_sample($formattedEndpoint, "Lorem ipsum"); FacadesLog::debug('Response: ' . $response); return response()->json([ 'response' => $response ]); } catch (Exception $e) { return response()->json([ 'error' => $e->getMessage() ], 500); } }
错误返回结果
{ "message": "<!DOCTYPE html>\n<html lang=en>\n <meta charset=utf-8>\n <meta name=viewport content=\"initial-scale=1, minimum-scale=1, width=device-width\">\n <title>Error 503 (Server Error)!!1</title>\n <style>\n *{margin:0;padding:0}html,code{font:15px/22px arial,sans-serif}html{background:#fff;color:#222;padding:15px}body{margin:7% auto 0;max-width:390px;min-height:180px;padding:30px 0 15px}* > body{background:url(//www.google.com/images/errors/robot.png) 100% 5px no-repeat;padding-right:205px}p{margin:11px 0 22px;overflow:hidden}ins{color:#777;text-decoration:none}a img{border:0}@media screen and (max-width:772px){body{background:none;margin-top:0;max-width:none;padding-right:0}}#logo{background:url(//www.google.com/images/branding/googlelogo/1x/googlelogo_color_150x54dp.png) no-repeat;margin-left:-5px}@media only screen and (min-resolution:192dpi){#logo{background:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) no-repeat 0% 0%/100% 100%;-moz-border-image:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) 0}}@media only screen and (-webkit-min-device-pixel-ratio:2){#logo{background:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) no-repeat;-webkit-background-size:100% 100%}}#logo{display:inline-block;height:54px;width:150px}\n </style>\n <a href=//www.google.com/><span id=logo aria-label=Google></span></a>\n <p><b>503.</b> <ins>That’s an error.</ins>\n <p>The service you requested is not available at this time.<p>Service error -27. <ins>That’s all we know.</ins>\n", "code": 14, "status": "UNAVAILABLE", "details": [] }
使用的依赖版本
google/apiclient: ^2.18google/cloud-ai-platform: ^1.13
解决建议
1. 修复请求体逻辑错误
核心函数中存在明显的变量覆盖问题:先创建带文本的Part对象,随后又将其重新赋值为空Part数组,导致请求内容为空。修正代码:
function generate_content_sample(string $model): void { $predictionServiceClient = new PredictionServiceClient(); // 创建包含文本的Part并传入内容数组 $contentPart = (new Part())->setText("loremp ipsum"); $content = (new Content()) ->setRole('user') ->setParts([$contentPart]); $request = (new GenerateContentRequest()) ->setModel($model) ->setContents([$content]); try { $response = $predictionServiceClient->generateContent($request); printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString()); } catch (ApiException $ex) { printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage()); } }
2. 指定正确的API端点
PHP SDK可能默认使用了错误的端点,手动指定与模型匹配的区域端点:
$predictionServiceClient = new PredictionServiceClient([ 'apiEndpoint' => 'us-central1-aiplatform.googleapis.com' // 替换为你的模型所在区域 ]);
3. 更新依赖库
当前使用的google/cloud-ai-platform版本较旧,可能存在已知兼容性问题,执行更新:
composer update google/cloud-ai-platform google/apiclient
4. 验证服务账号权限
确认SDK使用的服务账号拥有aiplatform.predictions.generate权限,同时检查账号是否被限制访问Vertex AI服务。
5. 检查区域一致性
确保模型所在区域与客户端指定的API端点区域完全匹配,避免跨区域访问导致的服务不可用。
内容的提问来源于stack exchange,提问作者Jordi Tomás Molina
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