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[Directory](/) 2. / 3. openeuropa/gpt-at-ec-php-client ActiveLibrary openeuropa/gpt-at-ec-php-client =============================== PHP API client to interact with European Commission GPT@EC. 1.x-dev(10mo ago)019↑2584.2%1EUPL-1.2PHPPHP ^8.3CI passing Since Sep 17Pushed 10mo agoCompare [ Source](https://github.com/openeuropa/gpt-at-ec-php-client)[ Packagist](https://packagist.org/packages/openeuropa/gpt-at-ec-php-client)[ RSS](/packages/openeuropa-gpt-at-ec-php-client/feed)WikiDiscussions 1.x Synced today READMEChangelog (1)Dependencies (4)Versions (2)Used By (1) GPT@EC PHP API client ===================== [](#gptec-php-api-client) This is an API client written in PHP to interact with the GPT@EC API. ### Important notes [](#important-notes) The GPT@EC API is very similar to the Open AI API. Therefore, in order to ease the development, this library reuses the *openai-client/php* where possible, or extends it if needed. Since some parts of the *openai-client/php* are marked as internal, this library might become incompatible with future versions of it. Consider locking the *openai-client/php* version, and update it to the latest version reported as compatible in the test builds. Install ------- [](#install) Use [Composer](https://getcomposer.org/) to require the library: ``` composer require openeuropa/gpt-at-ec-php-client ``` Make sure you have a PSR-18 client installed, or install one manually, e.g.: ``` composer require guzzlehttp/guzzle ``` The `php-http/discovery` plugin can also help installing and discovering a compatible PSR-18 client. Usage ----- [](#usage) You can create a new API client using the factory class. All you need is a GPT@EC API key: ``` $api_key = getenv('KEY_AI_GPT_AT_EC'); $factory = new \Openeuropa\GptAtEcPhpClient\Factory(); $client = $factory->withApiKey($key)->make(); ``` Now the client can be used to interact with the 3 available endpoints. ### Chat [](#chat) The Chat Completions API endpoint will generate a model response from a list of messages comprising a conversation. `create` method Create a chat completion. The full model response will be returned at once by the API. ``` $response = $client->chat()->create([ 'model' => 'gpt-4o', 'messages' => [ [ 'role' => 'system', 'content' => 'You are a helpful assistant.', ], [ 'role' => 'user', 'content' => 'Hello!', ], ]); echo $response->id; // "chatcmpl-0123456789abcdef0123456789ab" echo $result->object; // "chat.completion" echo $result->created; // 1755523764 echo $result->model; // "gpt-4o-2000-01-01" echo $response->choices[0]->message->role; // "assistant" echo $response->choices[0]->message->content; // "Hello! How can I assist you today?" echo $response->choices[0]->index; // 0 echo $response->choices[0]->finishReason; // "stop" echo $response->usage->promptTokens; // 9 echo $response->usage->completionTokens; // 10 echo $response->usage->totalTokens; // 19 ``` `createStreamed` method Create a chat completion. The response will be streamed back in parts as the model generates it. ``` $stream = $client->chat()->createStreamed([ 'model' => 'gpt-4o', 'messages' => [ [ 'role' => 'system', 'content' => 'You are a helpful assistant.', ], [ 'role' => 'user', 'content' => 'Hello!', ], ]); foreach ($stream as $chunk) { echo $chunk->id; // "chatcmpl-0123456789abcdef0123456789ab" echo $chunk->object; // "chat.completion.chunk" echo $chunk->created; // 1755530359 echo $chunk->model; // "meta-llama/Llama-3.3-70B-Instruct" echo $response->choices[0]->message->role; // "assistant" echo $response->choices[0]->message->content; // "Hello!", "How", "can", "I", "help", "you", "?" } ``` ### Models [](#models) Lists the various models available in the API. A single method is available, `list`. ``` $response = $client->models()->list(); foreach ($response->data as $model) { echo $model->id; // "llama-3.3-70b-instruct" echo $model->name; // "LLama 3.3 70b instruct" echo $model->description; // "Very powerful open-weights model on par with the capabilities of GPT-4o for many types of tasks." print_r($model->sensitivityLevel); // ["PA", "SNC", "CU"] print_r($model->defaultFor); // ["SNC"] echo $model->created; // 1744201138356 echo $model->ownedBy; // "meta" echo $model->object; // "model" } ``` ### Quota consumption [](#quota-consumption) Provides the quota consumption details for a specific AI model. A single method is available, `retrieve`. ``` $response = $client->quotaConsumption()->retrieve('gpt-4o'); echo $response->consumedPromptTokens; // 1234 echo $response->consumedCompletionTokens; // 5678 echo $response->consumedTotalTokens; // 6912 echo $response->quota; // 100000 ``` Tests ----- [](#tests) The library is full covered by unit tests using the [PHPUnit](https://phpunit.de/) framework. To run the tests, execute: ``` ./vendor/bin/phpunit --coverage-html folder-for-coverage-results ``` Versioning ---------- [](#versioning) We use [SemVer](http://semver.org/) for versioning. ### Health Score 29 — LowBetter than 57% of packages Maintenance54 Moderate activity, may be stable Popularity9 Limited adoption so far Community8 Small or concentrated contributor base Maturity37 Early-stage or recently created project Bus Factor1 Top contributor holds 100% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~0 days Total 2 Last Release 309d ago ### Community Maintainers ![](https://www.gravatar.com/avatar/d3b1f4079f9a82f6dd88fe6577d1256b4ecbbccbcd4a4ec9bea7c2fd6f72b99a?d=identicon)[DIGIT-CORE](/maintainers/DIGIT-CORE) --- Top Contributors [![brummbar](https://avatars.githubusercontent.com/u/8488617?v=4)](https://github.com/brummbar "brummbar (12 commits)") ### Code Quality TestsPHPUnit ### Embed Badge ![Health badge](/badges/openeuropa-gpt-at-ec-php-client/health.svg) ``` [![Health](https://phpackages.com/badges/openeuropa-gpt-at-ec-php-client/health.svg)](https://phpackages.com/packages/openeuropa-gpt-at-ec-php-client) ``` ### Alternatives [openai-php/laravel OpenAI PHP for Laravel is a supercharged PHP API client that allows you to interact with the Open AI API 3.7k9.5M90](/packages/openai-php-laravel)[theodo-group/llphant LLPhant is a library to help you build Generative AI applications. 1.7k409.0k6](/packages/theodo-group-llphant)[maestroerror/laragent Power of AI Agents in your Laravel project 639159.9k](/packages/maestroerror-laragent)[mage-os/module-automatic-translation Automatic AI content translation for Mage-OS. 3017.9k](/packages/mage-os-module-automatic-translation)[sproutcms/cms Enterprise content management and framework 242.6k4](/packages/sproutcms-cms)[eliashaeussler/typo3-solver Solver - Extends TYPO3's exception handling with AI generated solutions. 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