如何優化大型 JSON 檔案以與 ChatGPT API 一起使用？

我正在嘗試使用 ChatGPT 作為我的 Magento 2 網站的聊天機器人，並且我想將產品資料傳遞給它。為此，我收集了所有產品並將它們儲存在一個 JSON 檔案中，然後讀取該檔案以將資料嵌入到系統角色的 systemRoleContent 中。然而，我面臨的問題是 JSON 檔案相當大。

{
    "bot_response": "Error: ChatBot Error: Unexpected API response structure: {\n    \"error\": {\n        \"message\": \"Request too large for gpt-4o on tokens per min (TPM): Limit 30000, Requested 501140. The input or output tokens must be reduced in order to run successfully. Visit https://platform.openai.com/account/rate-limits to learn more.\",\n        \"type\": \"tokens\",\n        \"param\": null,\n        \"code\": \"rate_limit_exceeded\"\n    }\n}\n"
}

我注意到需要在 API 配置中新增一個功能，該功能允許您執行查詢來根據名稱或描述中與使用者訊息中的關鍵字相符的關鍵字來選擇產品。挑戰在於用戶最初可能不知道產品的名稱；他們來到聊天機器人是為了發現他們。我該如何解決這個問題？

這是我現在正在使用的程式碼：

<?php

namespace MetaCares\Chatbot\Model;

use Magento\Framework\App\ObjectManager;

class ChatBot
{
    private $authorization;
    private $endpoint;
    private $conversationHistory = [];
    private $productsFile;
    private $fetchingDateFile;
    private $didFetchProducts = false;

    public function __construct()
    {
        $this->authorization = 'sk-proj-';
        $this->endpoint = 'https://api.openai.com/v1/chat/completions';

        $this->productsFile = __DIR__ . '/products.json';
        $this->fetchingDateFile = __DIR__ . '/fetching_date.json';

        $currentTime = time();
        $timeDifferenceSeconds = 24 * 3600;

        if (!file_exists($this->fetchingDateFile)) {
            file_put_contents($this->fetchingDateFile, json_encode(['last_fetch_time' => 0]));
        }

        $fetchingData = json_decode(file_get_contents($this->fetchingDateFile), true);
        $lastFetchTime = $fetchingData['last_fetch_time'] ?? 0;

        if ($currentTime - $lastFetchTime > $timeDifferenceSeconds) {
            $products = $this->fetchProductsUsingModel();
            $productsJson = json_encode($products);
            file_put_contents($this->productsFile, $productsJson);
            $fetchingData['last_fetch_time'] = $currentTime;
            file_put_contents($this->fetchingDateFile, json_encode($fetchingData));
            $this->didFetchProducts = true;
        }

        $jsonSampleData = file_get_contents($this->productsFile);

        $systemRoleContent = <<<EOT
Nom:
    Meta Cares Bot
Description
    BOT Meta Cares répond aux questions sur les produits du site et fournit des conseils santé fiables.
    Tu aides les clients de Meta Cares à faire des choix éclairés tout en offrant un accompagnement personnalisé, sécurisé et adapté à leurs besoins.

catalogue Meta Cares
{$jsonSampleData}

Liste des Sites Référencés :
- PubMed : [https://pubmed.ncbi.nlm.nih.gov/](https://pubmed.ncbi.nlm.nih.gov/)
- ScienceDirect : [https://www.sciencedirect.com/](https://www.sciencedirect.com/)
---
- Génération d’images DALL·E : Désactivée

EOT;

        $this->conversationHistory[] = [
            'role' => 'system',
            'content' => $systemRoleContent
        ];

        if (session_status() == PHP_SESSION_NONE) {
            session_start();
        }
        if (isset($_SESSION['chat_history'])) {
            $this->conversationHistory = $_SESSION['chat_history'];
        }
    }

    public function fetchProductsUsingModel(): array
    {
        return $products;
    }

    private function getCategoryNames(array $categoryIds): array
    {
        return $categoryNames;
    }

    public function sendMessage(string $message): array
    {
        try {
            $this->conversationHistory[] = [
                'role' => 'user',
                'content' => $message
            ];

            $data = [
                'model' => 'gpt-4o',
                'messages' => array_map(function ($msg) {
                    return [
                        'role' => $msg['role'] === 'bot' ? 'assistant' : $msg['role'],
                        'content' => $msg['content']
                    ];
                }, $this->conversationHistory)
            ];

            $response = $this->makeApiRequest($data);
            $arrResult = json_decode($response, true);

            if (json_last_error() !== JSON_ERROR_NONE) {
                throw new \Exception('Invalid API response format');
            }

            if (!isset($arrResult['choices']) || !isset($arrResult['choices'][0]['message']['content'])) {
                throw new \Exception('Unexpected API response structure: ' . $response);
            }

            $assistantResponse = $arrResult['choices'][0]['message']['content'];
            $this->conversationHistory[] = [
                'role' => 'bot',
                'content' => $assistantResponse
            ];

            $_SESSION['chat_history'] = $this->conversationHistory;
            return [
                "conversationHistory" => $_SESSION['chat_history'],
                'didFetchProducts' => $this->didFetchProducts,
                'response' => $assistantResponse,
            ];
        } catch (\Exception $e) {
            throw new \Exception('ChatBot Error: ' . $e->getMessage());
        }
    }

    private function makeApiRequest(array $data): string
    {
        $ch = curl_init();
        curl_setopt_array($ch, [
            CURLOPT_URL => $this->endpoint,
            CURLOPT_POST => true,
            CURLOPT_POSTFIELDS => json_encode($data),
            CURLOPT_HTTPHEADER => [
                'Content-Type: application/json',
                'Authorization: Bearer ' . $this->authorization,
            ],
            CURLOPT_RETURNTRANSFER => true,
            CURLOPT_SSL_VERIFYPEER => false,
            CURLOPT_SSL_VERIFYHOST => 0
        ]);

        $response = curl_exec($ch);

        if (curl_errno($ch)) {
            $error = curl_error($ch);
            curl_close($ch);
            throw new \Exception('API request failed: ' . $error);
        }

        curl_close($ch);
        return $response;
    }
}

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