更新至 v0.6.0_20251125 版本

services/geminiService.ts

@@ -396,7 +396,7 @@ class GeminiService {
       const targetLangName = LANGUAGE_MAP[language];
       const prompt = `Create a complete Japanese reading lesson on "${topic}", level ${difficulty}. 
       The 'japaneseContent' MUST be a complete article or story (at least 300 characters). 
-      Output JSON with title, japaneseContent, translation (${targetLangName}), vocabulary, and grammarPoints (list of key grammar used in the text with explanations).`;
+      Output JSON with title, japaneseContent, translation (in ${targetLangName}), vocabulary (meanings in ${targetLangName}), and grammarPoints (explanations in ${targetLangName}).`;
       
       return this.retryOperation(async () => {
           const response = await ai.models.generateContent({
@@ -430,9 +430,9 @@ class GeminiService {
     - title
     - script (The full Japanese text of the conversation/monologue)
     - translation (The full text in ${targetLangName})
-    - vocabulary (Key words)
+    - vocabulary (Key words with meanings in ${targetLangName})
     - questions (3 multiple choice comprehension questions in ${targetLangName})
-      - Each question needs: question, options (array of 3 strings), correctIndex (0-2), explanation.
+      - Each question needs: question, options (array of 3 strings), correctIndex (0-2), explanation (in ${targetLangName}).
     `;
 
     return this.retryOperation(async () => {
@@ -530,7 +530,7 @@ class GeminiService {
       const ai = this.getAi();
       const cleanBase64 = base64.replace(/^data:image\/(png|jpeg|jpg|webp|heic|heif);base64,/i, "");
       const targetLang = LANGUAGE_MAP[language];
-      const prompt = `OCR and analyze text. Explain in ${targetLang}. JSON: extractedText, detectedLanguage, summary, vocabulary, grammarPoints.`;
+      const prompt = `OCR and analyze text. Explain in ${targetLang}. JSON: extractedText, detectedLanguage, summary (in ${targetLang}), vocabulary (meanings in ${targetLang}), grammarPoints (explanations in ${targetLang}).`;
       
       return this.retryOperation(async () => {
           const res = await ai.models.generateContent({