[ 'gpt-4.1-mini' => 'GPT-4.1 mini (starszy)', 'gpt-5.6-luna' => 'GPT-5.6 Luna', 'gpt-5.6-terra' => 'GPT-5.6 Terra', 'gpt-5.6-sol' => 'GPT-5.6 Sol', 'gpt-6-luna' => 'GPT-6 Luna', ], 'grok' => [ 'grok-4.7' => 'Grok 4.7', 'grok-4.20' => 'Grok 4.20 Reasoning', 'grok-4.20-non-reasoning' => 'Grok 4.20 Non-Reasoning', ], 'groq' => [ 'openai/gpt-oss-120b' => 'GPT OSS 120B', 'openai/gpt-oss-20b' => 'GPT OSS 20B', 'llama-3.3-70b-versatile' => 'Llama 3.3 70B Versatile', ], 'gemini' => [ 'gemini-3.8-flash' => 'Gemini 3.8 Flash', 'gemini-3.1-pro-preview' => 'Gemini 3.1 Pro (Preview)', ], ]; } public function evaluate(string $provider, string $apiKey, string $model, string $question, string $answer, string $pattern, int $maxPoints): array { $provider = strtolower(trim($provider)); $provider = preg_replace('/[^a-z]/', '', $provider); $config = match ($provider) { 'grok' => ['url' => 'https://api.x.ai/v1/responses'], 'groq' => ['url' => 'https://api.groq.com/openai/v1/chat/completions'], 'gemini' => ['url' => 'https://generativelanguage.googleapis.com/v1beta/models/' . rawurlencode($model) . ':generateContent'], default => ['url' => 'https://api.openai.com/v1/responses'], }; if (trim($apiKey) === '') { throw new \RuntimeException('AI_NOT_CONFIGURED'); } if (!in_array($provider, ['openai', 'grok', 'groq', 'gemini'], true)) { throw new \RuntimeException('Nieprawidłowy dostawca AI: ' . $provider); } if (!isset(self::availableModels()[$provider][$model])) { throw new \RuntimeException('Wybrany model AI nie jest obsługiwany.'); } $input = "Oceń odpowiedź ucznia na pytanie otwarte i ustal liczbę uznanych punktów.\n" . "Maksymalna liczba punktów za to pytanie: " . max(0, $maxPoints) . ".\n" . "Przyznaj liczbę całkowitą od 0 do maksymalnej liczby punktów. Przyznaj punkty proporcjonalnie za poprawne elementy odpowiedzi; pełne punkty za komplet, część punktów za częściową odpowiedź. Nie przekraczaj limitu.\n\n" . "Pytanie:\n" . $question . "\n\n" . "Wzorzec odpowiedzi:\n" . $pattern . "\n\n" . "Odpowiedź ucznia:\n" . ($answer !== '' ? $answer : 'Brak odpowiedzi') . "\n\n" . "Zwróć wyłącznie poprawny obiekt JSON w formacie {\"awarded_points\": liczba_całkowita, \"feedback\": \"krótka ocena po polsku\"}. W ocenie opisz poprawne i brakujące elementy. Nie zmieniaj wzorca odpowiedzi."; $requestData = match ($provider) { 'groq' => [ 'model' => $model, 'messages' => [['role' => 'user', 'content' => $input]], 'temperature' => 0.1, ], 'gemini' => [ 'contents' => [['parts' => [['text' => $input]]]], 'generationConfig' => [ 'maxOutputTokens' => 256, 'responseMimeType' => 'application/json', 'thinkingConfig' => ['thinkingLevel' => 'low'], ], ], default => [ 'model' => $model, 'input' => $input, ], }; // GPT-5.x reasoning models do not accept a custom temperature. if ($provider === 'grok' || ($provider === 'openai' && $model === 'gpt-4.1-mini')) { $requestData['temperature'] = 0.1; } $payload = json_encode($requestData, JSON_UNESCAPED_UNICODE); $headers = [ 'Content-Type' => 'application/json', ]; if ($provider === 'gemini') { $headers['x-goog-api-key'] = trim($apiKey); } else { $headers['Authorization'] = 'Bearer ' . trim($apiKey); } $response = HttpFactory::getHttp()->post( $config['url'], $payload, $headers, $provider === 'gemini' ? 25 : 60 ); $body = json_decode((string) $response->body, true); if ((int) $response->code < 200 || (int) $response->code >= 300) { throw new \RuntimeException((string) ($body['error']['message'] ?? ('HTTP ' . (int) $response->code))); } $text = $this->extractText($body); if ($text === '') { throw new \RuntimeException('Brak treści odpowiedzi AI.'); } $jsonText = preg_replace('/^```(?:json)?\s*|\s*```$/i', '', trim($text)); $result = json_decode($jsonText, true); if (!is_array($result) || !isset($result['awarded_points']) || !is_numeric($result['awarded_points'])) { $start = strpos($jsonText, '{'); $end = strrpos($jsonText, '}'); if ($start !== false && $end !== false && $end > $start) { $result = json_decode(substr($jsonText, $start, $end - $start + 1), true); } } if (!is_array($result) || !isset($result['awarded_points']) || !is_numeric($result['awarded_points'])) { throw new \RuntimeException('AI zwróciło nieprawidłowy format oceny i punktów.'); } $actualModel = (string) ($body['model'] ?? $model); $usage = $this->getUsage($body, $provider, $model); if ($usage !== null) { $usage['model'] = $actualModel; } return [ 'awarded_points' => min(max(0, $maxPoints), max(0, (int) $result['awarded_points'])), 'feedback' => trim((string) ($result['feedback'] ?? '')), 'usage' => $usage, ]; } private function getUsage(array $body, string $provider, string $model): ?array { // Gemini uses camelCase UsageMetadata at the response root; the // OpenAI-compatible providers return their counters in `usage`. $usage = $body['usageMetadata'] ?? $body['usage'] ?? null; if (!is_array($usage)) { return null; } $inputTokens = max(0, (int) ($usage['input_tokens'] ?? $usage['prompt_tokens'] ?? $usage['promptTokenCount'] ?? 0)); $outputTokens = max(0, (int) ($usage['output_tokens'] ?? $usage['completion_tokens'] ?? ( (int) ($usage['candidatesTokenCount'] ?? 0) + (int) ($usage['thoughtsTokenCount'] ?? 0) ))); if ((!isset($usage['input_tokens']) && !isset($usage['prompt_tokens']) && !isset($usage['promptTokenCount'])) || (!isset($usage['output_tokens']) && !isset($usage['completion_tokens']) && !isset($usage['candidatesTokenCount']))) { return null; } $cachedTokens = min($inputTokens, max(0, (int) ($usage['input_tokens_details']['cached_tokens'] ?? $usage['cachedContentTokenCount'] ?? 0))); $cost = null; $costSource = ''; if ($provider === 'grok' && isset($usage['cost_in_usd_ticks']) && is_numeric($usage['cost_in_usd_ticks'])) { $cost = (float) $usage['cost_in_usd_ticks'] / 10000000000; $costSource = 'provider'; } elseif ($provider === 'openai' && isset($this->openAiRates()[$model])) { [$inputRate, $cachedRate, $outputRate, $cacheWriteRate] = $this->openAiRates()[$model]; $uncachedTokens = $inputTokens - $cachedTokens; $cacheWriteTokens = min($uncachedTokens, max(0, (int) ($usage['input_tokens_details']['cache_write_tokens'] ?? 0))); $uncachedTokens -= $cacheWriteTokens; $cost = ($uncachedTokens * $inputRate + $cachedTokens * $cachedRate + $cacheWriteTokens * $cacheWriteRate + $outputTokens * $outputRate) / 1000000; $costSource = 'token_rates'; } return [ 'provider' => $provider, 'model' => $model, 'input_tokens' => $inputTokens, 'output_tokens' => $outputTokens, 'total_tokens' => (int) ($usage['total_tokens'] ?? $usage['totalTokenCount'] ?? ($inputTokens + $outputTokens)), 'cached_input_tokens' => $cachedTokens, 'cost_usd' => $cost, 'cost_source' => $costSource, ]; } private function openAiRates(): array { return [ 'gpt-4.1-mini' => [0.40, 0.10, 1.60, 0.40], 'gpt-5.6-luna' => [0.20, 0.02, 1.20, 0.25], 'gpt-5.6-terra' => [2.00, 0.20, 12.00, 2.50], 'gpt-5.6-sol' => [4.00, 0.40, 20.00, 5.00], 'gpt-6-luna' => [0.10, 0.01, 0.50, 0.125], ]; } private function extractText(array $body): string { if (isset($body['candidates'][0]['content']['parts']) && is_array($body['candidates'][0]['content']['parts'])) { $parts = []; foreach ($body['candidates'][0]['content']['parts'] as $part) { if (isset($part['text']) && is_string($part['text'])) { $parts[] = $part['text']; } } return trim(implode("\n", $parts)); } if (isset($body['choices'][0]['message']['content']) && is_string($body['choices'][0]['message']['content'])) { return trim($body['choices'][0]['message']['content']); } if (!empty($body['output_text']) && is_string($body['output_text'])) { return trim($body['output_text']); } $parts = []; foreach ((array) ($body['output'] ?? []) as $output) { foreach ((array) ($output['content'] ?? []) as $content) { if (!empty($content['text']) && is_string($content['text'])) { $parts[] = $content['text']; } } } return trim(implode("\n", $parts)); } }