false, 'error' => 'No text provided for translation.']); exit; } $systemPrompt = "You are a professional translator specializing in medical terminology."; $userPrompt = "Translate the following text from $from to $to. Return only the translated text without any explanations or extra characters.\n\nText: $text"; break; case 'symptoms': if (empty($currentValue)) { $userPrompt = "Generate a list of common clinical symptoms for a general checkup in a professional medical format (HTML lists)."; } else { $userPrompt = "Rewrite and expand the following patient symptoms into a professional clinical description using HTML (bullet points or paragraph). Maintain the original meaning but make it clearer and more detailed:\n\n" . strip_tags($currentValue); } break; case 'diagnosis': if (empty($symptoms)) { echo json_encode(['success' => false, 'error' => 'Please enter symptoms first to get a diagnosis suggestion.']); exit; } $userPrompt = "Based on the following symptoms, suggest a list of potential differential diagnoses. Provide the response in a clear HTML list format.\n\nSymptoms:\n" . strip_tags($symptoms); break; case 'treatment_plan': default: if (empty($symptoms) && empty($diagnosis)) { echo json_encode(['success' => false, 'error' => 'No symptoms or diagnosis provided.']); exit; } $userPrompt = "Based on the following symptoms and diagnosis, please generate a concise treatment plan and medical report for the patient.\n\n"; if (!empty($symptoms)) { $userPrompt .= "Symptoms:\n" . strip_tags($symptoms) . "\n\n"; } if (!empty($diagnosis)) { $userPrompt .= "Diagnosis:\n" . strip_tags($diagnosis) . "\n\n"; } $userPrompt .= "Please provide the report in a clear, professional format using HTML tags (like

,
• , , etc.) for better readability."; break; } try { $response = LocalAIApi::createResponse([ 'input' => [ ['role' => 'system', 'content' => $systemPrompt], ['role' => 'user', 'content' => $userPrompt], ], ]); if (!empty($response['success'])) { $text = LocalAIApi::extractText($response); echo json_encode(['success' => true, 'report' => trim($text)]); } else { echo json_encode(['success' => false, 'error' => $response['error'] ?? 'AI generation failed.']); } } catch (Exception $e) { echo json_encode(['success' => false, 'error' => $e->getMessage()]); }