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Edit File : Completions.php \| Size : 4.83 KB
<?php namespace App\Managers\OpenAI; use App\Models\AiLog; use App\Models\Project; use App\Models\User; use GuzzleHttp\Client; use Illuminate\Support\Facades\Auth; class Completions extends RequestUri { /** * The user input. / private ?string $userInput; /* * The context for the chat. / private ?int $contextId; /* * The ai model for the chat. / private ?string $aiModel; /* * The temperature for the chat. / private ?float $aiTemperature; /* * The max token for the chat. / private ?int $aiMaxToken; /* * The top P for the chat. / private ?int $topP; /* * The Frequency penalty for the chat. / private ?float $frequencyPenalty; /* * The Presence penalty for the chat. / private ?float $presencePenalty; /* * The Client request for the chat. / private ?Client $client; // /* // * The project id who is asking for this call // / // private ?int $projectId; /* * The is_test attribute. / private ?bool $isTest; /* * Creates a Client instance with the given API token. * * @param string $userInput, * @param array $options, * @param string $model, / public function __construct(string $userInput, array $options) { $this->userInput = $userInput; // $this->projectId = $project ? $project->id : null; $this->contextId = null; $this->isTest = $options && isset($options['is_test']) ? $options['is_test'] : false; $this->aiModel = $options && !is_null($options['ai_model']) ? $options['ai_model'] : ''; $this->aiTemperature = $options && !is_null($options['ai_temperature']) ? $options['ai_temperature'] : 0.7; $this->aiMaxToken = $options && !is_null($options['max_tokens']) ? $options['max_tokens'] : 3000; $this->topP = $options && !is_null($options['top_p']) ? $options['top_p'] : 1; $this->frequencyPenalty = $options && !is_null($options['frequency_penalty']) ? $options['frequency_penalty'] : 0; $this->presencePenalty = $options && !is_null($options['presence_penalty']) ? $options['presence_penalty'] : 1; $this->client = self::setupRequest(); $this->userInput .= $options['return_content_type']; } /* * Given a prompt, the model will return one or more predicted completions, and can also return the probabilities * of alternative tokens at each position. * * @see https://beta.openai.com/docs/api-reference/completions * / public function create() { $response = $this->client->post('completions', [ 'json' => [ 'model' => $this->aiModel, 'temperature' => $this->aiTemperature, 'max_tokens' => $this->aiMaxToken, "prompt" => $this->userInput, "top_p" => $this->topP, "frequency_penalty" => $this->frequencyPenalty, "presence_penalty" => $this->presencePenalty, ], ]); $body = $response->getBody(); $content = json_decode($body, true); if ($content['id']) { $aiLog = self::store($content); } $completed_text = removeSpecialCharacters(trim($content['choices'][0]['text'])); return [ 'content' => $completed_text, 'context_id' => '', 'ai_log_id' => isset($aiLog) ? $aiLog->id : null, ]; } /* * Store response to database AiLog table * * @param mixed $content */ private function store(mixed $content) { // $authUser = Auth::user() ?? User::find(1); $authUser = null; if ($authUser) { $instanceId = $authUser->instance->id; } $softModelType = AiLog::SOFT_MODEL_TYPE['procedure']; $aiLog = AiLog::create([ 'instance_id' => $instanceId ?? null, 'user_id' => $authUser ? $authUser->id : null, // 'project_id' => $this->projectId, 'app_model_type' => $softModelType, 'context_id' => null, 'is_test' => $this->isTest, 'temperature' => $this->aiTemperature, 'max_tokens' => $this->aiMaxToken, 'object' => $content['object'], 'ai_model' => $content['model'], 'prompt_tokens' => $content['usage']['prompt_tokens'], 'completion_tokens' => $content['usage']['completion_tokens'], 'total_tokens' => $content['usage']['total_tokens'], 'user_input' => $this->userInput, 'assistant_message' => $content['choices'][0]['text'], 'finish_reason' => $content['choices'][0]['finish_reason'], 'response_index' => $content['choices'][0]['index'], ]); return $aiLog; } } Back

Edit File : Completions.php | Size : 4.83 KB

<?php

namespace App\Managers\OpenAI;

use App\Models\AiLog;
use App\Models\Project;
use App\Models\User;
use GuzzleHttp\Client;
use Illuminate\Support\Facades\Auth;

class Completions extends RequestUri
{
    /**
     * The user input.
     */
    private ?string $userInput;

/**
     * The context for the chat.
     */
    private ?int $contextId;

/**
     * The ai model for the chat.
     */
    private ?string $aiModel;

/**
     * The temperature for the chat.
     */
    private ?float $aiTemperature;

/**
     * The max token for the chat.
     */
    private ?int $aiMaxToken;

/**
     * The top P for the chat.
     */
    private ?int $topP;

/**
     * The Frequency penalty for the chat.
     */
    private ?float $frequencyPenalty;

/**
     * The Presence penalty for the chat.
     */
    private ?float $presencePenalty;

/**
     * The Client request for the chat.
     */
    private ?Client $client;

// /**
    //  * The project id who is asking for this call
    //  */
    // private ?int $projectId;

/**
     * The is_test attribute.
     */
    private ?bool $isTest;

/**
     * Creates a Client instance with the given API token.
     * 
     * @param string $userInput, 
     * @param array $options, 
     * @param string $model, 
     */
    public function __construct(string $userInput, array $options)
    {
        $this->userInput = $userInput;
        // $this->projectId = $project ? $project->id : null;
        $this->contextId = null;
        $this->isTest =  $options && isset($options['is_test']) ? $options['is_test'] : false;
        $this->aiModel = $options && !is_null($options['ai_model']) ? $options['ai_model'] : '';
        $this->aiTemperature = $options && !is_null($options['ai_temperature']) ? $options['ai_temperature'] : 0.7;
        $this->aiMaxToken = $options && !is_null($options['max_tokens']) ? $options['max_tokens'] : 3000;
        $this->topP = $options && !is_null($options['top_p']) ? $options['top_p'] : 1;
        $this->frequencyPenalty = $options && !is_null($options['frequency_penalty']) ? $options['frequency_penalty'] : 0;
        $this->presencePenalty = $options && !is_null($options['presence_penalty']) ? $options['presence_penalty'] : 1;
        $this->client = self::setupRequest();
        $this->userInput .= $options['return_content_type'];
    }

/**
     * Given a prompt, the model will return one or more predicted completions, and can also return the probabilities
     * of alternative tokens at each position.
     *
     * @see https://beta.openai.com/docs/api-reference/completions
     *
     */
    public function create()
    {
        $response = $this->client->post('completions', [
            'json' => [
                'model' => $this->aiModel,
                'temperature' => $this->aiTemperature,
                'max_tokens' => $this->aiMaxToken,
                "prompt" => $this->userInput,
                "top_p" => $this->topP,
                "frequency_penalty" => $this->frequencyPenalty,
                "presence_penalty" => $this->presencePenalty,
            ],
        ]);
        $body = $response->getBody();
        $content = json_decode($body, true);

if ($content['id']) {
            $aiLog = self::store($content);
        }

$completed_text = removeSpecialCharacters(trim($content['choices'][0]['text']));

return [
            'content' => $completed_text,
            'context_id' => '',
			'ai_log_id' => isset($aiLog) ? $aiLog->id : null,
        ];
    }

/**
     * Store response to database AiLog table
     *
     * @param mixed $content
     */
    private function store(mixed $content)
    {
        // $authUser = Auth::user() ?? User::find(1);
        $authUser = null;
        if ($authUser) {
            $instanceId = $authUser->instance->id;
        }
        $softModelType = AiLog::SOFT_MODEL_TYPE['procedure'];

$aiLog = AiLog::create([
            'instance_id' => $instanceId ?? null,
            'user_id' => $authUser ? $authUser->id : null,
            // 'project_id' => $this->projectId,
            'app_model_type' => $softModelType,
            'context_id' => null,
			'is_test' => $this->isTest,
            'temperature' => $this->aiTemperature,
            'max_tokens' => $this->aiMaxToken,
            'object' => $content['object'],
            'ai_model' => $content['model'],
            'prompt_tokens' => $content['usage']['prompt_tokens'],
            'completion_tokens' => $content['usage']['completion_tokens'],
            'total_tokens' => $content['usage']['total_tokens'],
            'user_input' => $this->userInput,
            'assistant_message' => $content['choices'][0]['text'],
            'finish_reason' => $content['choices'][0]['finish_reason'],
            'response_index' => $content['choices'][0]['index'],
        ]);

return $aiLog;
    }
}

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