[{"data":1,"prerenderedAt":9728},["ShallowReactive",2],{"learn-\u002Fhe\u002Flearn\u002Fperformance-optimization-genui":3,"related-performance-optimization-genui":3010},{"id":4,"title":5,"author":6,"body":7,"category":2992,"date":2993,"description":2994,"draft":2995,"extension":2996,"featured":2995,"meta":2997,"navigation":413,"path":3000,"readTime":3001,"seo":3002,"stem":3003,"tags":3004,"__hash__":3009},"content\u002Fhe\u002Flearn\u002Fperformance-optimization-genui.md","אופטימיזציית ביצועים עבור Generative UI","Alex",{"type":8,"value":9,"toc":2974},"minimark",[10,15,24,27,34,38,41,69,72,76,79,207,210,214,217,223,229,235,241,245,248,467,474,480,592,596,602,605,912,919,923,926,929,1366,1369,1375,1379,1382,1455,1458,1555,1559,1562,1567,1634,1639,1750,1760,1764,1767,2070,2073,2077,2080,2086,2096,2102,2111,2288,2292,2295,2496,2499,2503,2506,2527,2539,2556,2565,2579,2588,2592,2595,2792,2803,2807,2810,2928,2931,2935,2938,2953,2956,2959,2970],[11,12,14],"h2",{"id":13},"פרדוקס-הביצועים","פרדוקס הביצועים",[16,17,18,19,23],"p",{},"הפרדוקס פשוט: 300ms יכולים להרגיש כנצח, בעוד 1.2 שניות יכולים להרגיש כמיידי. וב-Generative UI זה לא תיאורטי. היה לי מקרה ייצור שבו מעבר מ-caching בזיכרון ל-streaming skeletons הפחית את זמן הטעינה הנתפס פי 3 — בזמן שה",[20,21,22],"em",{},"עלייה"," בסך זמן-לרכיב-מלא הייתה 80ms.",[16,25,26],{},"LLM inference הוא 200–800ms לתגובה פשוטה ומספר שניות לתגובות מרובות-כלים. CDN, SSG ו-edge caching לא יכולים להסיר את הלטנסי הזה: שלב ההחלטה של ה-LLM יושב על critical path של כל בקשה. אבל הממשק לא חייב להרגיש איטי.",[16,28,29,30,33],{},"מאמר זה הוא לא \"10 טיפים לביצועים.\" זה ניסיון להפריד בין ",[20,31,32],{},"מתי"," אופטימיזציה שווה לעשות לבין מתי היא self-deception ומוזהב הנדסי, ואיזו אסטרטגיה פותרת איזו בעיה ספציפית. עם מספרים אמיתיים מהייצור שלי, לא מ-benchmarks בפוסטים בבלוג.",[11,35,37],{"id":36},"מתי-לא-לאפתח","מתי לא לאפתח",[16,39,40],{},"לפני קריאת שש האסטרטגיות למטה, ענו על שלוש שאלות:",[42,43,44,52,58],"ol",{},[45,46,47,51],"li",{},[48,49,50],"strong",{},"האם מדדתם את הביצועים הנוכחיים?"," אם לא — סגרו את הטאב הזה ו-instrumented מעקב TTFC\u002FTTIC. חצי מהלקוחות שהגיעו אלי עם \"הכל איטי\" היה להם p50 של 600ms ומשתמשים כועסים מ-layout shift (CLS), לא מלטנסי.",[45,53,54,57],{},[48,55,56],{},"האם ה-p95 שלכם כבר מתחת ל-1.5 שניות?"," אז streaming skeletons ו-optimistic UI ייתנו לכם ~20% שיפור נתפס — במחיר שבוע עבודה. בלו את השבוע הזה על פונקציונליות במקום.",[45,59,60,63,64,68],{},[48,61,62],{},"האם יש לכם פחות מ-100 משתמשים פעילים יומיים?"," Redis cache בשתי בקשות לדקה הוא cargo-culting של תשתית. ",[65,66,67],"code",{},"Map"," בזיכרון יחזיק שנה וחצי נוספת.",[16,70,71],{},"אופטימיזציה היא לא \"תמיד טובה.\" כל אסטרטגיה למטה מוסיפה מורכבות, מצבי כשל ועומס קוגניטיבי. אם יש לכם מהנדס אחד והמוצר עדיין מחפש PMF — streamed skeletons (אסטרטגיה 1) ולא עוד כלום. כל השאר הוא premature.",[11,73,75],{"id":74},"טבלת-הפשרות","טבלת הפשרות",[16,77,78],{},"שש אסטרטגיות, עלותן, והיכן כל אחת משתלמת:",[80,81,82,104],"table",{},[83,84,85],"thead",{},[86,87,88,92,95,98,101],"tr",{},[89,90,91],"th",{},"אסטרטגיה",[89,93,94],{},"מורכבות",[89,96,97],{},"רווח TTFC",[89,99,100],{},"רווח TTIC",[89,102,103],{},"מתי להשתמש",[105,106,107,128,146,162,177,192],"tbody",{},[86,108,109,113,116,119,122],{},[110,111,112],"td",{},"1. Stream skeletons",[110,114,115],{},"נמוכה (שעות)",[110,117,118],{},"−400…600ms",[110,120,121],{},"0",[110,123,124,125],{},"תמיד, אם משתמשים ב-",[65,126,127],{},"streamUI",[86,129,130,133,135,137,140],{},[110,131,132],{},"2. Parallel tool calls",[110,134,115],{},[110,136,121],{},[110,138,139],{},"−30…50%",[110,141,142,143],{},"כש-≥2 fetches עצמאיים ב-",[65,144,145],{},"generate",[86,147,148,151,154,156,159],{},[110,149,150],{},"3. Response caching",[110,152,153],{},"בינונית (ימים)",[110,155,121],{},[110,157,158],{},"−500…800ms על cache hit",[110,160,161],{},"שאילתות חוזרות ≥10×\u002Fיום\u002Fמשתמש",[86,163,164,167,169,171,174],{},[110,165,166],{},"4. Model selection",[110,168,115],{},[110,170,121],{},[110,172,173],{},"−200…500ms",[110,175,176],{},"בחירת כלים פשוטה, ללא reasoning",[86,178,179,182,184,187,189],{},[110,180,181],{},"5. Bundle optimization",[110,183,153],{},[110,185,186],{},"−100…300ms (טעינה קרה)",[110,188,121],{},[110,190,191],{},"Bundle > 200KB או קהל-mobile כבד",[86,193,194,197,199,202,204],{},[110,195,196],{},"6. Optimistic UI",[110,198,153],{},[110,200,201],{},"−150…250ms",[110,203,121],{},[110,205,206],{},"שאילתות ניתנות לחיזוי מ-keywords",[16,208,209],{},"אם נאלצים לדרג לפי benefit÷complexity על מוצר בוגר עם תנועה, הסדר הוא: 1 → 4 → 2 → 6 → 3 → 5. אסטרטגיות 3 ו-5 משתלמות מאוחר מהצפוי והיו שוב ושוב פריטי \"בזבזתי שבוע\" שלי.",[11,211,213],{"id":212},"המדדים-שחשובים","המדדים שחשובים",[16,215,216],{},"לפני אופטימיזציה, הגדירו מה אתם מודדים:",[16,218,219,222],{},[48,220,221],{},"Time to First Component (TTFC):"," כמה זמן עד שהמשתמש רואה כל אלמנט שנוצר על ידי AI, אפילו מצב טעינה. יעד: מתחת ל-200ms. זה אפשרי על ידי סטרימינג ה-skeleton מיידית בזמן שה-inference רץ.",[16,224,225,228],{},[48,226,227],{},"Time to Interactive Component (TTIC):"," כמה זמן עד שהרכיב הראשון האמיתי, עם נתונים, מופיע. יעד: מתחת ל-800ms. זהו סוף ה-LLM inference לקריאת הכלי הראשונה.",[16,230,231,234],{},[48,232,233],{},"זמן השלמת סטרימינג:"," כמה זמן עד שכל הרכיבים שנוצרו נטענו. זה משתנה עם מספר קריאות הכלים. עם סטרימינג, זה פחות חשוב מ-TTFC ו-TTIC.",[16,236,237,240],{},[48,238,239],{},"ציון Layout Shift (CLS):"," רכיבים שנוצרים לא צריכים לזוז בפריסת הדף כשהם נטענים. ה-skeletons חייבים להתאים לגודל הרכיב הסופי.",[11,242,244],{"id":243},"אסטרטגיה-1-סטרימינג-skeletons-באופן-מיידי","אסטרטגיה 1: סטרימינג Skeletons באופן מיידי",[16,246,247],{},"האופטימיזציה בעלת ההשפעה הגבוהה ביותר היחידה היא סטרימינג skeleton טעינה לפני ש-LLM פותר את הפרמטר הראשון. דפוס ה-generator של Vercel AI SDK מאפשר זאת ישירות:",[249,250,255],"pre",{"className":251,"code":252,"language":253,"meta":254,"style":254},"language-typescript shiki shiki-themes github-light github-dark","tools: {\n revenueChart: {\n description: 'Display a revenue chart',\n parameters: z.object({\n period: z.string(),\n data: z.array(z.object({ date: z.string(), value: z.number() })),\n }),\n generate: async function* (params) {\n \u002F\u002F This yields IMMEDIATELY — before params are resolved\n \u002F\u002F The skeleton appears at time zero\n yield \u003CChartSkeleton \u002F>;\n\n \u002F\u002F Optionally fetch real data while the AI resolves params\n \u002F\u002F The component appears when both are ready\n return \u003CRevenueChart {...params} \u002F>;\n },\n },\n}\n","typescript","",[65,256,257,270,278,294,309,321,349,355,380,387,393,408,415,421,427,449,455,461],{"__ignoreMap":254},[258,259,262,266],"span",{"class":260,"line":261},"line",1,[258,263,265],{"class":264},"sScJk","tools",[258,267,269],{"class":268},"sVt8B",": {\n",[258,271,273,276],{"class":260,"line":272},2,[258,274,275],{"class":264}," revenueChart",[258,277,269],{"class":268},[258,279,281,284,287,291],{"class":260,"line":280},3,[258,282,283],{"class":264}," description",[258,285,286],{"class":268},": ",[258,288,290],{"class":289},"sZZnC","'Display a revenue chart'",[258,292,293],{"class":268},",\n",[258,295,297,300,303,306],{"class":260,"line":296},4,[258,298,299],{"class":264}," parameters",[258,301,302],{"class":268},": z.",[258,304,305],{"class":264},"object",[258,307,308],{"class":268},"({\n",[258,310,312,315,318],{"class":260,"line":311},5,[258,313,314],{"class":268}," period: z.",[258,316,317],{"class":264},"string",[258,319,320],{"class":268},"(),\n",[258,322,324,327,330,333,335,338,340,343,346],{"class":260,"line":323},6,[258,325,326],{"class":268}," data: z.",[258,328,329],{"class":264},"array",[258,331,332],{"class":268},"(z.",[258,334,305],{"class":264},[258,336,337],{"class":268},"({ date: z.",[258,339,317],{"class":264},[258,341,342],{"class":268},"(), value: z.",[258,344,345],{"class":264},"number",[258,347,348],{"class":268},"() })),\n",[258,350,352],{"class":260,"line":351},7,[258,353,354],{"class":268}," }),\n",[258,356,358,361,363,367,370,373,377],{"class":260,"line":357},8,[258,359,360],{"class":264}," generate",[258,362,286],{"class":268},[258,364,366],{"class":365},"szBVR","async",[258,368,369],{"class":365}," function*",[258,371,372],{"class":268}," (",[258,374,376],{"class":375},"s4XuR","params",[258,378,379],{"class":268},") {\n",[258,381,383],{"class":260,"line":382},9,[258,384,386],{"class":385},"sJ8bj"," \u002F\u002F This yields IMMEDIATELY — before params are resolved\n",[258,388,390],{"class":260,"line":389},10,[258,391,392],{"class":385}," \u002F\u002F The skeleton appears at time zero\n",[258,394,396,399,402,405],{"class":260,"line":395},11,[258,397,398],{"class":365}," yield",[258,400,401],{"class":268}," \u003C",[258,403,404],{"class":264},"ChartSkeleton",[258,406,407],{"class":268}," \u002F>;\n",[258,409,411],{"class":260,"line":410},12,[258,412,414],{"emptyLinePlaceholder":413},true,"\n",[258,416,418],{"class":260,"line":417},13,[258,419,420],{"class":385}," \u002F\u002F Optionally fetch real data while the AI resolves params\n",[258,422,424],{"class":260,"line":423},14,[258,425,426],{"class":385}," \u002F\u002F The component appears when both are ready\n",[258,428,430,433,435,438,441,444,446],{"class":260,"line":429},15,[258,431,432],{"class":365}," return",[258,434,401],{"class":268},[258,436,437],{"class":264},"RevenueChart",[258,439,440],{"class":268}," {",[258,442,443],{"class":365},"...",[258,445,376],{"class":264},[258,447,448],{"class":268},"} \u002F>;\n",[258,450,452],{"class":260,"line":451},16,[258,453,454],{"class":268}," },\n",[258,456,458],{"class":260,"line":457},17,[258,459,460],{"class":268}," },\n",[258,462,464],{"class":260,"line":463},18,[258,465,466],{"class":268},"}\n",[16,468,469,470,473],{},"הפקודה ",[65,471,472],{},"yield"," רצה בסינכרוניות. המשתמש רואה את ה-skeleton באותו round trip כמו הבקשה הראשונית. ה-LLM inference רץ במקביל. זו הסיבה ש-TTFC יכול להיות מתחת ל-200ms גם כש-TTIC הוא 800ms.",[16,475,476,479],{},[48,477,478],{},"פרט קריטי:"," ה-skeleton חייב להתאים למימדי הרכיב הסופי. אם ה-skeleton גבוה 100px והרכיב הטעון גבוה 300px, יש לכם layout shift שמזיק ל-CLS ומרגיש מטלטל.",[249,481,485],{"className":482,"code":483,"language":484,"meta":254,"style":254},"language-tsx shiki shiki-themes github-light github-dark","\u002F\u002F Bad: generic skeleton that mismatches component size\nyield \u003Cdiv className=\"h-8 animate-pulse bg-muted rounded\" \u002F>;\n\n\u002F\u002F Good: skeleton that matches the component\nyield (\n \u003Cdiv className=\"rounded-lg border p-6 h-64\">\n \u003Cdiv className=\"h-4 w-32 animate-pulse bg-muted rounded mb-4\" \u002F>\n \u003Cdiv className=\"h-48 w-full animate-pulse bg-muted rounded\" \u002F>\n \u003C\u002Fdiv>\n);\n","tsx",[65,486,487,492,513,517,522,529,546,563,578,587],{"__ignoreMap":254},[258,488,489],{"class":260,"line":261},[258,490,491],{"class":385},"\u002F\u002F Bad: generic skeleton that mismatches component size\n",[258,493,494,496,498,502,505,508,511],{"class":260,"line":272},[258,495,472],{"class":365},[258,497,401],{"class":268},[258,499,501],{"class":500},"s9eBZ","div",[258,503,504],{"class":264}," className",[258,506,507],{"class":365},"=",[258,509,510],{"class":289},"\"h-8 animate-pulse bg-muted rounded\"",[258,512,407],{"class":268},[258,514,515],{"class":260,"line":280},[258,516,414],{"emptyLinePlaceholder":413},[258,518,519],{"class":260,"line":296},[258,520,521],{"class":385},"\u002F\u002F Good: skeleton that matches the component\n",[258,523,524,526],{"class":260,"line":311},[258,525,472],{"class":365},[258,527,528],{"class":268}," (\n",[258,530,531,534,536,538,540,543],{"class":260,"line":323},[258,532,533],{"class":268}," \u003C",[258,535,501],{"class":500},[258,537,504],{"class":264},[258,539,507],{"class":365},[258,541,542],{"class":289},"\"rounded-lg border p-6 h-64\"",[258,544,545],{"class":268},">\n",[258,547,548,551,553,555,557,560],{"class":260,"line":351},[258,549,550],{"class":268}," \u003C",[258,552,501],{"class":500},[258,554,504],{"class":264},[258,556,507],{"class":365},[258,558,559],{"class":289},"\"h-4 w-32 animate-pulse bg-muted rounded mb-4\"",[258,561,562],{"class":268}," \u002F>\n",[258,564,565,567,569,571,573,576],{"class":260,"line":357},[258,566,550],{"class":268},[258,568,501],{"class":500},[258,570,504],{"class":264},[258,572,507],{"class":365},[258,574,575],{"class":289},"\"h-48 w-full animate-pulse bg-muted rounded\"",[258,577,562],{"class":268},[258,579,580,583,585],{"class":260,"line":382},[258,581,582],{"class":268}," \u003C\u002F",[258,584,501],{"class":500},[258,586,545],{"class":268},[258,588,589],{"class":260,"line":389},[258,590,591],{"class":268},");\n",[11,593,595],{"id":594},"אסטרטגיה-2-קריאות-כלים-מקבילות","אסטרטגיה 2: קריאות כלים מקבילות",[16,597,598,599,601],{},"כשה-AI צריך לקרוא לכמה כלים, הם צריכים לרוץ במקביל. Vercel AI SDK מטפל בזה אוטומטית — קריאות כלים מרובות בתגובה בודדת מריצות את פונקציות ",[65,600,145],{}," שלהן בו-זמנית.",[16,603,604],{},"אבל שליפת הנתונים של הרכיב שלכם לא חייבת לחסום:",[249,606,608],{"className":251,"code":607,"language":253,"meta":254,"style":254},"\u002F\u002F Slow: sequential data fetching inside generate\ngenerate: async function* ({ userId, period }) {\n yield \u003CDashboardSkeleton \u002F>;\n const revenue = await fetchRevenue(userId, period); \u002F\u002F 200ms\n const users = await fetchUsers(userId, period); \u002F\u002F 150ms\n const conversions = await fetchConversions(userId); \u002F\u002F 100ms\n \u002F\u002F Total: ~450ms\n return \u003CDashboard revenue={revenue} users={users} conversions={conversions} \u002F>;\n},\n\n\u002F\u002F Fast: parallel data fetching\ngenerate: async function* ({ userId, period }) {\n yield \u003CDashboardSkeleton \u002F>;\n const [revenue, users, conversions] = await Promise.all([\n fetchRevenue(userId, period),\n fetchUsers(userId, period),\n fetchConversions(userId),\n ]);\n \u002F\u002F Total: ~200ms (longest fetch wins)\n return \u003CDashboard revenue={revenue} users={users} conversions={conversions} \u002F>;\n},\n",[65,609,610,615,640,652,676,696,716,721,760,765,769,774,794,804,840,848,855,863,868,874,907],{"__ignoreMap":254},[258,611,612],{"class":260,"line":261},[258,613,614],{"class":385},"\u002F\u002F Slow: sequential data fetching inside generate\n",[258,616,617,619,621,623,625,628,631,634,637],{"class":260,"line":272},[258,618,145],{"class":264},[258,620,286],{"class":268},[258,622,366],{"class":365},[258,624,369],{"class":365},[258,626,627],{"class":268}," ({ ",[258,629,630],{"class":375},"userId",[258,632,633],{"class":268},", ",[258,635,636],{"class":375},"period",[258,638,639],{"class":268}," }) {\n",[258,641,642,645,647,650],{"class":260,"line":280},[258,643,644],{"class":365}," yield",[258,646,401],{"class":268},[258,648,649],{"class":264},"DashboardSkeleton",[258,651,407],{"class":268},[258,653,654,657,661,664,667,670,673],{"class":260,"line":296},[258,655,656],{"class":365}," const",[258,658,660],{"class":659},"sj4cs"," revenue",[258,662,663],{"class":365}," =",[258,665,666],{"class":365}," await",[258,668,669],{"class":264}," fetchRevenue",[258,671,672],{"class":268},"(userId, period); ",[258,674,675],{"class":385},"\u002F\u002F 200ms\n",[258,677,678,680,683,685,687,690,693],{"class":260,"line":311},[258,679,656],{"class":365},[258,681,682],{"class":659}," users",[258,684,663],{"class":365},[258,686,666],{"class":365},[258,688,689],{"class":264}," fetchUsers",[258,691,692],{"class":268},"(userId, period); ",[258,694,695],{"class":385},"\u002F\u002F 150ms\n",[258,697,698,700,703,705,707,710,713],{"class":260,"line":323},[258,699,656],{"class":365},[258,701,702],{"class":659}," conversions",[258,704,663],{"class":365},[258,706,666],{"class":365},[258,708,709],{"class":264}," fetchConversions",[258,711,712],{"class":268},"(userId); ",[258,714,715],{"class":385},"\u002F\u002F 100ms\n",[258,717,718],{"class":260,"line":351},[258,719,720],{"class":385}," \u002F\u002F Total: ~450ms\n",[258,722,723,726,728,731,733,736,739,742,745,747,749,751,754,756,758],{"class":260,"line":357},[258,724,725],{"class":365}," return",[258,727,401],{"class":268},[258,729,730],{"class":264},"Dashboard",[258,732,660],{"class":264},[258,734,735],{"class":268},"={",[258,737,738],{"class":375},"revenue",[258,740,741],{"class":268},"} ",[258,743,744],{"class":264},"users",[258,746,735],{"class":268},[258,748,744],{"class":375},[258,750,741],{"class":268},[258,752,753],{"class":264},"conversions",[258,755,735],{"class":268},[258,757,753],{"class":375},[258,759,448],{"class":268},[258,761,762],{"class":260,"line":382},[258,763,764],{"class":268},"},\n",[258,766,767],{"class":260,"line":389},[258,768,414],{"emptyLinePlaceholder":413},[258,770,771],{"class":260,"line":395},[258,772,773],{"class":385},"\u002F\u002F Fast: parallel data fetching\n",[258,775,776,778,780,782,784,786,788,790,792],{"class":260,"line":410},[258,777,145],{"class":264},[258,779,286],{"class":268},[258,781,366],{"class":365},[258,783,369],{"class":365},[258,785,627],{"class":268},[258,787,630],{"class":375},[258,789,633],{"class":268},[258,791,636],{"class":375},[258,793,639],{"class":268},[258,795,796,798,800,802],{"class":260,"line":417},[258,797,644],{"class":365},[258,799,401],{"class":268},[258,801,649],{"class":264},[258,803,407],{"class":268},[258,805,806,808,811,813,815,817,819,821,824,826,828,831,834,837],{"class":260,"line":423},[258,807,656],{"class":365},[258,809,810],{"class":268}," [",[258,812,738],{"class":659},[258,814,633],{"class":268},[258,816,744],{"class":659},[258,818,633],{"class":268},[258,820,753],{"class":659},[258,822,823],{"class":268},"] ",[258,825,507],{"class":365},[258,827,666],{"class":365},[258,829,830],{"class":659}," Promise",[258,832,833],{"class":268},".",[258,835,836],{"class":264},"all",[258,838,839],{"class":268},"([\n",[258,841,842,845],{"class":260,"line":429},[258,843,844],{"class":264}," fetchRevenue",[258,846,847],{"class":268},"(userId, period),\n",[258,849,850,853],{"class":260,"line":451},[258,851,852],{"class":264}," fetchUsers",[258,854,847],{"class":268},[258,856,857,860],{"class":260,"line":457},[258,858,859],{"class":264}," fetchConversions",[258,861,862],{"class":268},"(userId),\n",[258,864,865],{"class":260,"line":463},[258,866,867],{"class":268}," ]);\n",[258,869,871],{"class":260,"line":870},19,[258,872,873],{"class":385}," \u002F\u002F Total: ~200ms (longest fetch wins)\n",[258,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905],{"class":260,"line":876},20,[258,878,725],{"class":365},[258,880,401],{"class":268},[258,882,730],{"class":264},[258,884,660],{"class":264},[258,886,735],{"class":268},[258,888,738],{"class":375},[258,890,741],{"class":268},[258,892,744],{"class":264},[258,894,735],{"class":268},[258,896,744],{"class":375},[258,898,741],{"class":268},[258,900,753],{"class":264},[258,902,735],{"class":268},[258,904,753],{"class":375},[258,906,448],{"class":268},[258,908,910],{"class":260,"line":909},21,[258,911,764],{"class":268},[16,913,914,915,918],{},"למקורות נתונים עצמאיים, ",[65,916,917],{},"Promise.all"," תמיד מהיר מ-awaits סדרתיים.",[11,920,922],{"id":921},"אסטרטגיה-3-caching-תגובות","אסטרטגיה 3: Caching תגובות",[16,924,925],{},"שאילתות Generative UI רבות חוזרות על עצמן. \"הציגו לי דשבורד ההכנסות של החודש הנוכחי\" רץ עשרות פעמים ביום לאותו משתמש עם אותם נתונים בסיסיים.",[16,927,928],{},"שמרו ב-cache ברמת תגובת ה-LLM, עם מפתח שמבוסס על hash של הפרומפט וההקשר הרלוונטי:",[249,930,932],{"className":251,"code":931,"language":253,"meta":254,"style":254},"import { createHash } from 'crypto';\n\ninterface CacheEntry {\n value: React.ReactNode;\n cachedAt: number;\n ttlMs: number;\n}\n\nconst responseCache = new Map\u003Cstring, CacheEntry>();\n\nfunction getCacheKey(prompt: string, context: object): string {\n return createHash('md5')\n .update(prompt + JSON.stringify(context))\n .digest('hex');\n}\n\nexport async function generateUIWithCache(\n prompt: string,\n context: object = {},\n ttlMs: number = 5 * 60 * 1000 \u002F\u002F 5 minutes default\n) {\n const key = getCacheKey(prompt, context);\n const cached = responseCache.get(key);\n\n if (cached && Date.now() - cached.cachedAt \u003C cached.ttlMs) {\n return cached.value;\n }\n\n const result = await streamUI({ \u002F* ... *\u002F });\n responseCache.set(key, { value: result.value, cachedAt: Date.now(), ttlMs });\n return result.value;\n}\n",[65,933,934,951,955,966,984,996,1007,1011,1015,1044,1048,1086,1101,1126,1140,1144,1148,1165,1176,1190,1217,1221,1236,1255,1260,1292,1301,1307,1312,1336,1353,1361],{"__ignoreMap":254},[258,935,936,939,942,945,948],{"class":260,"line":261},[258,937,938],{"class":365},"import",[258,940,941],{"class":268}," { createHash } ",[258,943,944],{"class":365},"from",[258,946,947],{"class":289}," 'crypto'",[258,949,950],{"class":268},";\n",[258,952,953],{"class":260,"line":272},[258,954,414],{"emptyLinePlaceholder":413},[258,956,957,960,963],{"class":260,"line":280},[258,958,959],{"class":365},"interface",[258,961,962],{"class":264}," CacheEntry",[258,964,965],{"class":268}," {\n",[258,967,968,971,974,977,979,982],{"class":260,"line":296},[258,969,970],{"class":375}," value",[258,972,973],{"class":365},":",[258,975,976],{"class":264}," React",[258,978,833],{"class":268},[258,980,981],{"class":264},"ReactNode",[258,983,950],{"class":268},[258,985,986,989,991,994],{"class":260,"line":311},[258,987,988],{"class":375}," cachedAt",[258,990,973],{"class":365},[258,992,993],{"class":659}," number",[258,995,950],{"class":268},[258,997,998,1001,1003,1005],{"class":260,"line":323},[258,999,1000],{"class":375}," ttlMs",[258,1002,973],{"class":365},[258,1004,993],{"class":659},[258,1006,950],{"class":268},[258,1008,1009],{"class":260,"line":351},[258,1010,466],{"class":268},[258,1012,1013],{"class":260,"line":357},[258,1014,414],{"emptyLinePlaceholder":413},[258,1016,1017,1020,1023,1025,1028,1031,1034,1036,1038,1041],{"class":260,"line":382},[258,1018,1019],{"class":365},"const",[258,1021,1022],{"class":659}," responseCache",[258,1024,663],{"class":365},[258,1026,1027],{"class":365}," new",[258,1029,1030],{"class":264}," Map",[258,1032,1033],{"class":268},"\u003C",[258,1035,317],{"class":659},[258,1037,633],{"class":268},[258,1039,1040],{"class":264},"CacheEntry",[258,1042,1043],{"class":268},">();\n",[258,1045,1046],{"class":260,"line":389},[258,1047,414],{"emptyLinePlaceholder":413},[258,1049,1050,1053,1056,1059,1062,1064,1067,1069,1072,1074,1077,1080,1082,1084],{"class":260,"line":395},[258,1051,1052],{"class":365},"function",[258,1054,1055],{"class":264}," getCacheKey",[258,1057,1058],{"class":268},"(",[258,1060,1061],{"class":375},"prompt",[258,1063,973],{"class":365},[258,1065,1066],{"class":659}," string",[258,1068,633],{"class":268},[258,1070,1071],{"class":375},"context",[258,1073,973],{"class":365},[258,1075,1076],{"class":659}," object",[258,1078,1079],{"class":268},")",[258,1081,973],{"class":365},[258,1083,1066],{"class":659},[258,1085,965],{"class":268},[258,1087,1088,1090,1093,1095,1098],{"class":260,"line":410},[258,1089,725],{"class":365},[258,1091,1092],{"class":264}," createHash",[258,1094,1058],{"class":268},[258,1096,1097],{"class":289},"'md5'",[258,1099,1100],{"class":268},")\n",[258,1102,1103,1106,1109,1112,1115,1118,1120,1123],{"class":260,"line":417},[258,1104,1105],{"class":268}," .",[258,1107,1108],{"class":264},"update",[258,1110,1111],{"class":268},"(prompt ",[258,1113,1114],{"class":365},"+",[258,1116,1117],{"class":659}," JSON",[258,1119,833],{"class":268},[258,1121,1122],{"class":264},"stringify",[258,1124,1125],{"class":268},"(context))\n",[258,1127,1128,1130,1133,1135,1138],{"class":260,"line":423},[258,1129,1105],{"class":268},[258,1131,1132],{"class":264},"digest",[258,1134,1058],{"class":268},[258,1136,1137],{"class":289},"'hex'",[258,1139,591],{"class":268},[258,1141,1142],{"class":260,"line":429},[258,1143,466],{"class":268},[258,1145,1146],{"class":260,"line":451},[258,1147,414],{"emptyLinePlaceholder":413},[258,1149,1150,1153,1156,1159,1162],{"class":260,"line":457},[258,1151,1152],{"class":365},"export",[258,1154,1155],{"class":365}," async",[258,1157,1158],{"class":365}," function",[258,1160,1161],{"class":264}," generateUIWithCache",[258,1163,1164],{"class":268},"(\n",[258,1166,1167,1170,1172,1174],{"class":260,"line":463},[258,1168,1169],{"class":375}," prompt",[258,1171,973],{"class":365},[258,1173,1066],{"class":659},[258,1175,293],{"class":268},[258,1177,1178,1181,1183,1185,1187],{"class":260,"line":870},[258,1179,1180],{"class":375}," context",[258,1182,973],{"class":365},[258,1184,1076],{"class":659},[258,1186,663],{"class":365},[258,1188,1189],{"class":268}," {},\n",[258,1191,1192,1194,1196,1198,1200,1203,1206,1209,1211,1214],{"class":260,"line":876},[258,1193,1000],{"class":375},[258,1195,973],{"class":365},[258,1197,993],{"class":659},[258,1199,663],{"class":365},[258,1201,1202],{"class":659}," 5",[258,1204,1205],{"class":365}," *",[258,1207,1208],{"class":659}," 60",[258,1210,1205],{"class":365},[258,1212,1213],{"class":659}," 1000",[258,1215,1216],{"class":385}," \u002F\u002F 5 minutes default\n",[258,1218,1219],{"class":260,"line":909},[258,1220,379],{"class":268},[258,1222,1224,1226,1229,1231,1233],{"class":260,"line":1223},22,[258,1225,656],{"class":365},[258,1227,1228],{"class":659}," key",[258,1230,663],{"class":365},[258,1232,1055],{"class":264},[258,1234,1235],{"class":268},"(prompt, context);\n",[258,1237,1239,1241,1244,1246,1249,1252],{"class":260,"line":1238},23,[258,1240,656],{"class":365},[258,1242,1243],{"class":659}," cached",[258,1245,663],{"class":365},[258,1247,1248],{"class":268}," responseCache.",[258,1250,1251],{"class":264},"get",[258,1253,1254],{"class":268},"(key);\n",[258,1256,1258],{"class":260,"line":1257},24,[258,1259,414],{"emptyLinePlaceholder":413},[258,1261,1263,1266,1269,1272,1275,1278,1281,1284,1287,1289],{"class":260,"line":1262},25,[258,1264,1265],{"class":365}," if",[258,1267,1268],{"class":268}," (cached ",[258,1270,1271],{"class":365},"&&",[258,1273,1274],{"class":268}," Date.",[258,1276,1277],{"class":264},"now",[258,1279,1280],{"class":268},"() ",[258,1282,1283],{"class":365},"-",[258,1285,1286],{"class":268}," cached.cachedAt ",[258,1288,1033],{"class":365},[258,1290,1291],{"class":268}," cached.ttlMs) {\n",[258,1293,1295,1298],{"class":260,"line":1294},26,[258,1296,1297],{"class":365}," return",[258,1299,1300],{"class":268}," cached.value;\n",[258,1302,1304],{"class":260,"line":1303},27,[258,1305,1306],{"class":268}," }\n",[258,1308,1310],{"class":260,"line":1309},28,[258,1311,414],{"emptyLinePlaceholder":413},[258,1313,1315,1317,1320,1322,1324,1327,1330,1333],{"class":260,"line":1314},29,[258,1316,656],{"class":365},[258,1318,1319],{"class":659}," result",[258,1321,663],{"class":365},[258,1323,666],{"class":365},[258,1325,1326],{"class":264}," streamUI",[258,1328,1329],{"class":268},"({ ",[258,1331,1332],{"class":385},"\u002F* ... *\u002F",[258,1334,1335],{"class":268}," });\n",[258,1337,1339,1342,1345,1348,1350],{"class":260,"line":1338},30,[258,1340,1341],{"class":268}," responseCache.",[258,1343,1344],{"class":264},"set",[258,1346,1347],{"class":268},"(key, { value: result.value, cachedAt: Date.",[258,1349,1277],{"class":264},[258,1351,1352],{"class":268},"(), ttlMs });\n",[258,1354,1356,1358],{"class":260,"line":1355},31,[258,1357,725],{"class":365},[258,1359,1360],{"class":268}," result.value;\n",[258,1362,1364],{"class":260,"line":1363},32,[258,1365,466],{"class":268},[16,1367,1368],{},"לייצור, השתמשו ב-Redis במקום ב-Map בזיכרון. שקלו להשתמש ב-Vercel KV או Upstash Redis ל-caching תואם-edge.",[16,1370,1371,1374],{},[48,1372,1373],{},"חשוב:"," ביטול ה-cache חייב להתאים לתדירות עדכון הנתונים שלכם. דשבורד הכנסות ששמור ב-cache ל-5 דקות תקין. ticker מניות בזמן אמת ששמור ב-cache ל-5 דקות הוא שגוי.",[11,1376,1378],{"id":1377},"אסטרטגיה-4-בחירת-מודל","אסטרטגיה 4: בחירת מודל",[16,1380,1381],{},"לא כל שאילתה דורשת GPT-4o. בחירת מודל היא האופטימיזציה הגבוהה ביותר בהשפעה על עלות ולטנסי.",[80,1383,1384,1400],{},[83,1385,1386],{},[86,1387,1388,1391,1394,1397],{},[89,1389,1390],{},"מודל",[89,1392,1393],{},"לטנסי",[89,1395,1396],{},"עלות",[89,1398,1399],{},"איכות",[105,1401,1402,1416,1430,1443],{},[86,1403,1404,1407,1410,1413],{},[110,1405,1406],{},"GPT-4o",[110,1408,1409],{},"400–800ms",[110,1411,1412],{},"גבוהה",[110,1414,1415],{},"הכי טוב",[86,1417,1418,1421,1424,1427],{},[110,1419,1420],{},"GPT-4o-mini",[110,1422,1423],{},"200–400ms",[110,1425,1426],{},"זול פי 10",[110,1428,1429],{},"טוב",[86,1431,1432,1435,1438,1441],{},[110,1433,1434],{},"Claude Haiku",[110,1436,1437],{},"150–300ms",[110,1439,1440],{},"זול פי 5",[110,1442,1429],{},[86,1444,1445,1448,1451,1453],{},[110,1446,1447],{},"Gemini Flash",[110,1449,1450],{},"100–200ms",[110,1452,1440],{},[110,1454,1429],{},[16,1456,1457],{},"לרוב משימות בחירת כלי ב-Generative UI, GPT-4o-mini או Claude Haiku מייצרים תוצאות שלא ניתן להבחין בינן לבין GPT-4o. שמרו את מודלי הגבול לצרכי reasoning מורכב.",[249,1459,1461],{"className":251,"code":1460,"language":253,"meta":254,"style":254},"\u002F\u002F Route to appropriate model based on query complexity\nfunction selectModel(toolCount: number, contextLength: number) {\n if (toolCount \u003C= 5 && contextLength \u003C 500) {\n return openai('gpt-4o-mini');\n }\n return openai('gpt-4o');\n}\n",[65,1462,1463,1468,1495,1520,1534,1538,1551],{"__ignoreMap":254},[258,1464,1465],{"class":260,"line":261},[258,1466,1467],{"class":385},"\u002F\u002F Route to appropriate model based on query complexity\n",[258,1469,1470,1472,1475,1477,1480,1482,1484,1486,1489,1491,1493],{"class":260,"line":272},[258,1471,1052],{"class":365},[258,1473,1474],{"class":264}," selectModel",[258,1476,1058],{"class":268},[258,1478,1479],{"class":375},"toolCount",[258,1481,973],{"class":365},[258,1483,993],{"class":659},[258,1485,633],{"class":268},[258,1487,1488],{"class":375},"contextLength",[258,1490,973],{"class":365},[258,1492,993],{"class":659},[258,1494,379],{"class":268},[258,1496,1497,1499,1502,1505,1507,1510,1513,1515,1518],{"class":260,"line":280},[258,1498,1265],{"class":365},[258,1500,1501],{"class":268}," (toolCount ",[258,1503,1504],{"class":365},"\u003C=",[258,1506,1202],{"class":659},[258,1508,1509],{"class":365}," &&",[258,1511,1512],{"class":268}," contextLength ",[258,1514,1033],{"class":365},[258,1516,1517],{"class":659}," 500",[258,1519,379],{"class":268},[258,1521,1522,1524,1527,1529,1532],{"class":260,"line":296},[258,1523,1297],{"class":365},[258,1525,1526],{"class":264}," openai",[258,1528,1058],{"class":268},[258,1530,1531],{"class":289},"'gpt-4o-mini'",[258,1533,591],{"class":268},[258,1535,1536],{"class":260,"line":311},[258,1537,1306],{"class":268},[258,1539,1540,1542,1544,1546,1549],{"class":260,"line":323},[258,1541,725],{"class":365},[258,1543,1526],{"class":264},[258,1545,1058],{"class":268},[258,1547,1548],{"class":289},"'gpt-4o'",[258,1550,591],{"class":268},[258,1552,1553],{"class":260,"line":351},[258,1554,466],{"class":268},[11,1556,1558],{"id":1557},"אסטרטגיה-5-אופטימיזציית-bundle","אסטרטגיה 5: אופטימיזציית Bundle",[16,1560,1561],{},"ספריות רכיבי Generative UI יכולות לגדול. כל רכיב ברג'יסטרי הכלים שלכם נשלח לדפדפן. נהלו זאת באופן פעיל.",[16,1563,1564],{},[48,1565,1566],{},"טעינה עצלה לרכיבים לא-קריטיים:",[249,1568,1570],{"className":251,"code":1569,"language":253,"meta":254,"style":254},"\u002F\u002F Only import heavy chart components when needed\nconst HeavyChartComponent = dynamic(\n () => import('@\u002Fcomponents\u002Fheavy-chart'),\n { loading: () => \u003CChartSkeleton \u002F> }\n);\n",[65,1571,1572,1577,1591,1610,1630],{"__ignoreMap":254},[258,1573,1574],{"class":260,"line":261},[258,1575,1576],{"class":385},"\u002F\u002F Only import heavy chart components when needed\n",[258,1578,1579,1581,1584,1586,1589],{"class":260,"line":272},[258,1580,1019],{"class":365},[258,1582,1583],{"class":659}," HeavyChartComponent",[258,1585,663],{"class":365},[258,1587,1588],{"class":264}," dynamic",[258,1590,1164],{"class":268},[258,1592,1593,1596,1599,1602,1604,1607],{"class":260,"line":280},[258,1594,1595],{"class":268}," () ",[258,1597,1598],{"class":365},"=>",[258,1600,1601],{"class":365}," import",[258,1603,1058],{"class":268},[258,1605,1606],{"class":289},"'@\u002Fcomponents\u002Fheavy-chart'",[258,1608,1609],{"class":268},"),\n",[258,1611,1612,1615,1618,1621,1623,1625,1627],{"class":260,"line":296},[258,1613,1614],{"class":268}," { ",[258,1616,1617],{"class":264},"loading",[258,1619,1620],{"class":268},": () ",[258,1622,1598],{"class":365},[258,1624,401],{"class":268},[258,1626,404],{"class":264},[258,1628,1629],{"class":268}," \u002F> }\n",[258,1631,1632],{"class":260,"line":311},[258,1633,591],{"class":268},[16,1635,1636],{},[48,1637,1638],{},"הפרידו את bundle הרכיבים מרג'יסטרי הכלים:",[249,1640,1642],{"className":251,"code":1641,"language":253,"meta":254,"style":254},"\u002F\u002F Tool registry: lightweight, shipped early\nexport const toolDefinitions = {\n revenueChart: {\n description: '...',\n parameters: z.object({ ... }),\n },\n};\n\n\u002F\u002F Component implementations: lazy loaded when needed\nexport const toolComponents = {\n revenueChart: dynamic(() => import('@\u002Fcomponents\u002Frevenue-chart')),\n};\n",[65,1643,1644,1649,1663,1668,1678,1692,1696,1701,1705,1710,1723,1746],{"__ignoreMap":254},[258,1645,1646],{"class":260,"line":261},[258,1647,1648],{"class":385},"\u002F\u002F Tool registry: lightweight, shipped early\n",[258,1650,1651,1653,1656,1659,1661],{"class":260,"line":272},[258,1652,1152],{"class":365},[258,1654,1655],{"class":365}," const",[258,1657,1658],{"class":659}," toolDefinitions",[258,1660,663],{"class":365},[258,1662,965],{"class":268},[258,1664,1665],{"class":260,"line":280},[258,1666,1667],{"class":268}," revenueChart: {\n",[258,1669,1670,1673,1676],{"class":260,"line":296},[258,1671,1672],{"class":268}," description: ",[258,1674,1675],{"class":289},"'...'",[258,1677,293],{"class":268},[258,1679,1680,1683,1685,1687,1689],{"class":260,"line":311},[258,1681,1682],{"class":268}," parameters: z.",[258,1684,305],{"class":264},[258,1686,1329],{"class":268},[258,1688,443],{"class":365},[258,1690,1691],{"class":268}," }),\n",[258,1693,1694],{"class":260,"line":323},[258,1695,460],{"class":268},[258,1697,1698],{"class":260,"line":351},[258,1699,1700],{"class":268},"};\n",[258,1702,1703],{"class":260,"line":357},[258,1704,414],{"emptyLinePlaceholder":413},[258,1706,1707],{"class":260,"line":382},[258,1708,1709],{"class":385},"\u002F\u002F Component implementations: lazy loaded when needed\n",[258,1711,1712,1714,1716,1719,1721],{"class":260,"line":389},[258,1713,1152],{"class":365},[258,1715,1655],{"class":365},[258,1717,1718],{"class":659}," toolComponents",[258,1720,663],{"class":365},[258,1722,965],{"class":268},[258,1724,1725,1728,1731,1734,1736,1738,1740,1743],{"class":260,"line":395},[258,1726,1727],{"class":268}," revenueChart: ",[258,1729,1730],{"class":264},"dynamic",[258,1732,1733],{"class":268},"(() ",[258,1735,1598],{"class":365},[258,1737,1601],{"class":365},[258,1739,1058],{"class":268},[258,1741,1742],{"class":289},"'@\u002Fcomponents\u002Frevenue-chart'",[258,1744,1745],{"class":268},")),\n",[258,1747,1748],{"class":260,"line":410},[258,1749,1700],{"class":268},[16,1751,1752,1755,1756,1759],{},[48,1753,1754],{},"מדדו את ה-bundle שלכם."," הריצו ",[65,1757,1758],{},"npx @next\u002Fbundle-analyzer"," וחפשו רכיבים שגדולים באופן לא פרופורציונלי. ספריית charting בודדת יכולה להוסיף 50KB+ ל-bundle שלכם.",[11,1761,1763],{"id":1762},"אסטרטגיה-6-optimistic-ui","אסטרטגיה 6: Optimistic UI",[16,1765,1766],{},"לשאילתות שהמערכת יכולה לצפות, הציגו UI אופטימיסטי לפני שה-AI מגיב:",[249,1768,1770],{"className":251,"code":1769,"language":253,"meta":254,"style":254},"export function useGenerativeUI() {\n const [ui, setUI] = useState\u003CReact.ReactNode>(null);\n const [optimisticUI, setOptimisticUI] = useState\u003CReact.ReactNode>(null);\n\n async function generate(prompt: string) {\n \u002F\u002F Immediately show a plausible skeleton based on query type\n if (prompt.toLowerCase().includes('weather')) {\n setOptimisticUI(\u003CWeatherCardSkeleton \u002F>);\n } else if (prompt.toLowerCase().includes('stock') || prompt.toLowerCase().includes('price')) {\n setOptimisticUI(\u003CStockTickerSkeleton \u002F>);\n } else {\n setOptimisticUI(\u003CGenericSkeleton \u002F>);\n }\n\n const result = await generateUI(prompt);\n setOptimisticUI(null);\n setUI(result);\n }\n\n return { ui: optimisticUI ?? ui, generate };\n}\n",[65,1771,1772,1784,1822,1856,1860,1880,1885,1910,1924,1970,1981,1989,2000,2005,2009,2026,2037,2045,2049,2053,2066],{"__ignoreMap":254},[258,1773,1774,1776,1778,1781],{"class":260,"line":261},[258,1775,1152],{"class":365},[258,1777,1158],{"class":365},[258,1779,1780],{"class":264}," useGenerativeUI",[258,1782,1783],{"class":268},"() {\n",[258,1785,1786,1788,1790,1793,1795,1798,1800,1802,1805,1807,1810,1812,1814,1817,1820],{"class":260,"line":272},[258,1787,656],{"class":365},[258,1789,810],{"class":268},[258,1791,1792],{"class":659},"ui",[258,1794,633],{"class":268},[258,1796,1797],{"class":659},"setUI",[258,1799,823],{"class":268},[258,1801,507],{"class":365},[258,1803,1804],{"class":264}," useState",[258,1806,1033],{"class":268},[258,1808,1809],{"class":264},"React",[258,1811,833],{"class":268},[258,1813,981],{"class":264},[258,1815,1816],{"class":268},">(",[258,1818,1819],{"class":659},"null",[258,1821,591],{"class":268},[258,1823,1824,1826,1828,1831,1833,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854],{"class":260,"line":280},[258,1825,656],{"class":365},[258,1827,810],{"class":268},[258,1829,1830],{"class":659},"optimisticUI",[258,1832,633],{"class":268},[258,1834,1835],{"class":659},"setOptimisticUI",[258,1837,823],{"class":268},[258,1839,507],{"class":365},[258,1841,1804],{"class":264},[258,1843,1033],{"class":268},[258,1845,1809],{"class":264},[258,1847,833],{"class":268},[258,1849,981],{"class":264},[258,1851,1816],{"class":268},[258,1853,1819],{"class":659},[258,1855,591],{"class":268},[258,1857,1858],{"class":260,"line":296},[258,1859,414],{"emptyLinePlaceholder":413},[258,1861,1862,1865,1867,1870,1872,1874,1876,1878],{"class":260,"line":311},[258,1863,1864],{"class":365}," async",[258,1866,1158],{"class":365},[258,1868,1869],{"class":264}," generate",[258,1871,1058],{"class":268},[258,1873,1061],{"class":375},[258,1875,973],{"class":365},[258,1877,1066],{"class":659},[258,1879,379],{"class":268},[258,1881,1882],{"class":260,"line":323},[258,1883,1884],{"class":385}," \u002F\u002F Immediately show a plausible skeleton based on query type\n",[258,1886,1887,1890,1893,1896,1899,1902,1904,1907],{"class":260,"line":351},[258,1888,1889],{"class":365}," if",[258,1891,1892],{"class":268}," (prompt.",[258,1894,1895],{"class":264},"toLowerCase",[258,1897,1898],{"class":268},"().",[258,1900,1901],{"class":264},"includes",[258,1903,1058],{"class":268},[258,1905,1906],{"class":289},"'weather'",[258,1908,1909],{"class":268},")) {\n",[258,1911,1912,1915,1918,1921],{"class":260,"line":357},[258,1913,1914],{"class":264}," setOptimisticUI",[258,1916,1917],{"class":268},"(\u003C",[258,1919,1920],{"class":264},"WeatherCardSkeleton",[258,1922,1923],{"class":268}," \u002F>);\n",[258,1925,1926,1929,1932,1935,1937,1939,1941,1943,1945,1948,1951,1954,1957,1959,1961,1963,1965,1968],{"class":260,"line":382},[258,1927,1928],{"class":268}," } ",[258,1930,1931],{"class":365},"else",[258,1933,1934],{"class":365}," if",[258,1936,1892],{"class":268},[258,1938,1895],{"class":264},[258,1940,1898],{"class":268},[258,1942,1901],{"class":264},[258,1944,1058],{"class":268},[258,1946,1947],{"class":289},"'stock'",[258,1949,1950],{"class":268},") ",[258,1952,1953],{"class":365},"||",[258,1955,1956],{"class":268}," prompt.",[258,1958,1895],{"class":264},[258,1960,1898],{"class":268},[258,1962,1901],{"class":264},[258,1964,1058],{"class":268},[258,1966,1967],{"class":289},"'price'",[258,1969,1909],{"class":268},[258,1971,1972,1974,1976,1979],{"class":260,"line":389},[258,1973,1914],{"class":264},[258,1975,1917],{"class":268},[258,1977,1978],{"class":264},"StockTickerSkeleton",[258,1980,1923],{"class":268},[258,1982,1983,1985,1987],{"class":260,"line":395},[258,1984,1928],{"class":268},[258,1986,1931],{"class":365},[258,1988,965],{"class":268},[258,1990,1991,1993,1995,1998],{"class":260,"line":410},[258,1992,1914],{"class":264},[258,1994,1917],{"class":268},[258,1996,1997],{"class":264},"GenericSkeleton",[258,1999,1923],{"class":268},[258,2001,2002],{"class":260,"line":417},[258,2003,2004],{"class":268}," }\n",[258,2006,2007],{"class":260,"line":423},[258,2008,414],{"emptyLinePlaceholder":413},[258,2010,2011,2014,2016,2018,2020,2023],{"class":260,"line":429},[258,2012,2013],{"class":365}," const",[258,2015,1319],{"class":659},[258,2017,663],{"class":365},[258,2019,666],{"class":365},[258,2021,2022],{"class":264}," generateUI",[258,2024,2025],{"class":268},"(prompt);\n",[258,2027,2028,2031,2033,2035],{"class":260,"line":451},[258,2029,2030],{"class":264}," setOptimisticUI",[258,2032,1058],{"class":268},[258,2034,1819],{"class":659},[258,2036,591],{"class":268},[258,2038,2039,2042],{"class":260,"line":457},[258,2040,2041],{"class":264}," setUI",[258,2043,2044],{"class":268},"(result);\n",[258,2046,2047],{"class":260,"line":463},[258,2048,1306],{"class":268},[258,2050,2051],{"class":260,"line":870},[258,2052,414],{"emptyLinePlaceholder":413},[258,2054,2055,2057,2060,2063],{"class":260,"line":876},[258,2056,725],{"class":365},[258,2058,2059],{"class":268}," { ui: optimisticUI ",[258,2061,2062],{"class":365},"??",[258,2064,2065],{"class":268}," ui, generate };\n",[258,2067,2068],{"class":260,"line":909},[258,2069,466],{"class":268},[16,2071,2072],{},"התאמת מילות מפתח פשוטה בצד הלקוח היא zero-latency. הצגת skeleton מזג אוויר ברגע שהמשתמש שולח שאילתת מזג אוויר מרגישה מהירה משמעותית מאשר להמתין ל-round-trip לשרת.",[11,2074,2076],{"id":2075},"השפעה-על-core-web-vitals","השפעה על Core Web Vitals",[16,2078,2079],{},"Generative UI משפיע על ה-Core Web Vitals שלכם. הנה מה לעקוב אחריו:",[16,2081,2082,2085],{},[48,2083,2084],{},"Largest Contentful Paint (LCP):"," אם התוכן הראשי שלכם נוצר על ידי AI, LCP ישקף את זמן הייצור המלא. הפחיתו על ידי ייצור תוכן above-the-fold תחילה ושימוש בסטרימינג לצביעת הדף בהדרגה.",[16,2087,2088,2091,2092,2095],{},[48,2089,2090],{},"Cumulative Layout Shift (CLS):"," הסיכון הגדול ביותר. אם ה-skeletons שלכם לא תואמים לגדלי הרכיבים, כל טעינת רכיב גורמת ל-layout shift. השתמשו ב-",[65,2093,2094],{},"min-height"," על containers של skeleton כדי לשמור מקום.",[16,2097,2098,2101],{},[48,2099,2100],{},"Interaction to Next Paint (INP):"," ודאו שיצירת AI מופעלת על ידי פעולות משתמש (לחיצות כפתור, הגשות טופס), לא טעינת דף פסיבית. יצירה פסיבית יכולה לחסום טיפול באינטראקציות.",[16,2103,2104,2107,2108,2110],{},[48,2105,2106],{},"First Input Delay \u002F INP:"," אל תריצו ",[65,2109,127],{}," ישירות ב-event handler של React. זו פעולה async ממושכת. שמרו על ה-event handler מהיר:",[249,2112,2114],{"className":251,"code":2113,"language":253,"meta":254,"style":254},"\u002F\u002F Potentially slow: streamUI blocks the handler\nasync function handleSubmit(e: React.FormEvent) {\n e.preventDefault();\n const result = await streamUI({ ... }); \u002F\u002F blocks\n setUI(result.value);\n}\n\n\u002F\u002F Better: kick off async, update state when ready\nfunction handleSubmit(e: React.FormEvent) {\n e.preventDefault();\n setLoading(true);\n generateUI(prompt).then(ui => {\n setUI(ui);\n setLoading(false);\n });\n}\n",[65,2115,2116,2121,2146,2157,2179,2187,2191,2195,2200,2220,2228,2240,2260,2267,2279,2284],{"__ignoreMap":254},[258,2117,2118],{"class":260,"line":261},[258,2119,2120],{"class":385},"\u002F\u002F Potentially slow: streamUI blocks the handler\n",[258,2122,2123,2125,2127,2130,2132,2135,2137,2139,2141,2144],{"class":260,"line":272},[258,2124,366],{"class":365},[258,2126,1158],{"class":365},[258,2128,2129],{"class":264}," handleSubmit",[258,2131,1058],{"class":268},[258,2133,2134],{"class":375},"e",[258,2136,973],{"class":365},[258,2138,976],{"class":264},[258,2140,833],{"class":268},[258,2142,2143],{"class":264},"FormEvent",[258,2145,379],{"class":268},[258,2147,2148,2151,2154],{"class":260,"line":280},[258,2149,2150],{"class":268}," e.",[258,2152,2153],{"class":264},"preventDefault",[258,2155,2156],{"class":268},"();\n",[258,2158,2159,2161,2163,2165,2167,2169,2171,2173,2176],{"class":260,"line":296},[258,2160,656],{"class":365},[258,2162,1319],{"class":659},[258,2164,663],{"class":365},[258,2166,666],{"class":365},[258,2168,1326],{"class":264},[258,2170,1329],{"class":268},[258,2172,443],{"class":365},[258,2174,2175],{"class":268}," }); ",[258,2177,2178],{"class":385},"\u002F\u002F blocks\n",[258,2180,2181,2184],{"class":260,"line":311},[258,2182,2183],{"class":264}," setUI",[258,2185,2186],{"class":268},"(result.value);\n",[258,2188,2189],{"class":260,"line":323},[258,2190,466],{"class":268},[258,2192,2193],{"class":260,"line":351},[258,2194,414],{"emptyLinePlaceholder":413},[258,2196,2197],{"class":260,"line":357},[258,2198,2199],{"class":385},"\u002F\u002F Better: kick off async, update state when ready\n",[258,2201,2202,2204,2206,2208,2210,2212,2214,2216,2218],{"class":260,"line":382},[258,2203,1052],{"class":365},[258,2205,2129],{"class":264},[258,2207,1058],{"class":268},[258,2209,2134],{"class":375},[258,2211,973],{"class":365},[258,2213,976],{"class":264},[258,2215,833],{"class":268},[258,2217,2143],{"class":264},[258,2219,379],{"class":268},[258,2221,2222,2224,2226],{"class":260,"line":389},[258,2223,2150],{"class":268},[258,2225,2153],{"class":264},[258,2227,2156],{"class":268},[258,2229,2230,2233,2235,2238],{"class":260,"line":395},[258,2231,2232],{"class":264}," setLoading",[258,2234,1058],{"class":268},[258,2236,2237],{"class":659},"true",[258,2239,591],{"class":268},[258,2241,2242,2245,2248,2251,2253,2255,2258],{"class":260,"line":410},[258,2243,2244],{"class":264}," generateUI",[258,2246,2247],{"class":268},"(prompt).",[258,2249,2250],{"class":264},"then",[258,2252,1058],{"class":268},[258,2254,1792],{"class":375},[258,2256,2257],{"class":365}," =>",[258,2259,965],{"class":268},[258,2261,2262,2264],{"class":260,"line":417},[258,2263,2041],{"class":264},[258,2265,2266],{"class":268},"(ui);\n",[258,2268,2269,2272,2274,2277],{"class":260,"line":423},[258,2270,2271],{"class":264}," setLoading",[258,2273,1058],{"class":268},[258,2275,2276],{"class":659},"false",[258,2278,591],{"class":268},[258,2280,2281],{"class":260,"line":429},[258,2282,2283],{"class":268}," });\n",[258,2285,2286],{"class":260,"line":451},[258,2287,466],{"class":268},[11,2289,2291],{"id":2290},"מדידת-מה-שאתם-מאפטימיזים","מדידת מה שאתם מאפטימיזים",[16,2293,2294],{},"ללא מדידה, אופטימיזציה היא ניחוש. הוסיפו מעקב ביצועים מהתחלה:",[249,2296,2298],{"className":251,"code":2297,"language":253,"meta":254,"style":254},"export async function generateUIWithMetrics(prompt: string) {\n const startTime = performance.now();\n\n const result = await streamUI({\n \u002F* ... *\u002F\n onFinish: ({ toolCalls }) => {\n const totalTime = performance.now() - startTime;\n\n \u002F\u002F Send to your analytics \u002F observability platform\n track('genui.generation_complete', {\n prompt_length: prompt.length,\n tool_calls_count: toolCalls.length,\n total_ms: Math.round(totalTime),\n tools_used: toolCalls.map(c => c.toolName),\n });\n },\n });\n\n return result.value;\n}\n",[65,2299,2300,2321,2337,2341,2355,2360,2378,2399,2403,2408,2421,2431,2440,2451,2469,2474,2478,2482,2486,2492],{"__ignoreMap":254},[258,2301,2302,2304,2306,2308,2311,2313,2315,2317,2319],{"class":260,"line":261},[258,2303,1152],{"class":365},[258,2305,1155],{"class":365},[258,2307,1158],{"class":365},[258,2309,2310],{"class":264}," generateUIWithMetrics",[258,2312,1058],{"class":268},[258,2314,1061],{"class":375},[258,2316,973],{"class":365},[258,2318,1066],{"class":659},[258,2320,379],{"class":268},[258,2322,2323,2325,2328,2330,2333,2335],{"class":260,"line":272},[258,2324,656],{"class":365},[258,2326,2327],{"class":659}," startTime",[258,2329,663],{"class":365},[258,2331,2332],{"class":268}," performance.",[258,2334,1277],{"class":264},[258,2336,2156],{"class":268},[258,2338,2339],{"class":260,"line":280},[258,2340,414],{"emptyLinePlaceholder":413},[258,2342,2343,2345,2347,2349,2351,2353],{"class":260,"line":296},[258,2344,656],{"class":365},[258,2346,1319],{"class":659},[258,2348,663],{"class":365},[258,2350,666],{"class":365},[258,2352,1326],{"class":264},[258,2354,308],{"class":268},[258,2356,2357],{"class":260,"line":311},[258,2358,2359],{"class":385}," \u002F* ... *\u002F\n",[258,2361,2362,2365,2368,2371,2374,2376],{"class":260,"line":323},[258,2363,2364],{"class":264}," onFinish",[258,2366,2367],{"class":268},": ({ ",[258,2369,2370],{"class":375},"toolCalls",[258,2372,2373],{"class":268}," }) ",[258,2375,1598],{"class":365},[258,2377,965],{"class":268},[258,2379,2380,2383,2386,2388,2390,2392,2394,2396],{"class":260,"line":351},[258,2381,2382],{"class":365}," const",[258,2384,2385],{"class":659}," totalTime",[258,2387,663],{"class":365},[258,2389,2332],{"class":268},[258,2391,1277],{"class":264},[258,2393,1280],{"class":268},[258,2395,1283],{"class":365},[258,2397,2398],{"class":268}," startTime;\n",[258,2400,2401],{"class":260,"line":357},[258,2402,414],{"emptyLinePlaceholder":413},[258,2404,2405],{"class":260,"line":382},[258,2406,2407],{"class":385}," \u002F\u002F Send to your analytics \u002F observability platform\n",[258,2409,2410,2413,2415,2418],{"class":260,"line":389},[258,2411,2412],{"class":264}," track",[258,2414,1058],{"class":268},[258,2416,2417],{"class":289},"'genui.generation_complete'",[258,2419,2420],{"class":268},", {\n",[258,2422,2423,2426,2429],{"class":260,"line":395},[258,2424,2425],{"class":268}," prompt_length: prompt.",[258,2427,2428],{"class":659},"length",[258,2430,293],{"class":268},[258,2432,2433,2436,2438],{"class":260,"line":410},[258,2434,2435],{"class":268}," tool_calls_count: toolCalls.",[258,2437,2428],{"class":659},[258,2439,293],{"class":268},[258,2441,2442,2445,2448],{"class":260,"line":417},[258,2443,2444],{"class":268}," total_ms: Math.",[258,2446,2447],{"class":264},"round",[258,2449,2450],{"class":268},"(totalTime),\n",[258,2452,2453,2456,2459,2461,2464,2466],{"class":260,"line":423},[258,2454,2455],{"class":268}," tools_used: toolCalls.",[258,2457,2458],{"class":264},"map",[258,2460,1058],{"class":268},[258,2462,2463],{"class":375},"c",[258,2465,2257],{"class":365},[258,2467,2468],{"class":268}," c.toolName),\n",[258,2470,2471],{"class":260,"line":429},[258,2472,2473],{"class":268}," });\n",[258,2475,2476],{"class":260,"line":451},[258,2477,454],{"class":268},[258,2479,2480],{"class":260,"line":457},[258,2481,2283],{"class":268},[258,2483,2484],{"class":260,"line":463},[258,2485,414],{"emptyLinePlaceholder":413},[258,2487,2488,2490],{"class":260,"line":870},[258,2489,725],{"class":365},[258,2491,1360],{"class":268},[258,2493,2494],{"class":260,"line":876},[258,2495,466],{"class":268},[16,2497,2498],{},"עקבו אחר TTFC ו-TTIC בנפרד על ידי תזמון ה-skeleton yield וה-return של הרכיב הסופי. לאחר שבוע של נתונים, תהיה לכם תמונה ברורה של היכן הזמן באמת הולך.",[11,2500,2502],{"id":2501},"אנטי-פטרנים-שנפלתי-אליהם","אנטי-פטרנים שנפלתי אליהם",[16,2504,2505],{},"שישה מקומות שבהם \"אופטימיזציה\" מזיקה — כולם טעויות שעשיתי בייצור:",[16,2507,2508,2511,2512,2515,2516,2519,2520,2523,2524,833],{},[48,2509,2510],{},"1. שמירה ב-cache של תגובת LLM לא-דטרמיניסטית לפי hash פרומפט."," GPT-4o עם ",[65,2513,2514],{},"temperature=0.7"," יחזיר UI שונה לאותו פרומפט. ה-cache יעבוד, אבל המשתמש יראה ממשק שלא תואם לקריאה קודמת — זה גרוע יותר מתגובה איטית אך עקבית. ",[48,2517,2518],{},"פתרון:"," שמרו ב-cache רק עם ",[65,2521,2522],{},"temperature=0",", או הכניסו ל-hash: ",[65,2525,2526],{},"prompt + temperature + seed",[16,2528,2529,2532,2533,2535,2536,2538],{},[48,2530,2531],{},"2. Skeleton שנראה שונה מהרכיב הסופי."," ראיתי בייצור: skeleton טבלה עם 5 שורות, טבלה סופית עם 50. CLS זינק, המשתמש הספיק ללחוץ במקום הלא-נכון וכעס. ",[48,2534,2518],{}," ",[65,2537,2094],{}," על ה-container לפי גודל ממוצע, רינדור עצל של שורות עם רשימה וירטואלית.",[16,2540,2541,2544,2545,2547,2548,2551,2552,2555],{},[48,2542,2543],{},"3. סטרימינג skeleton שהמשתמש רואה פחות מ-50ms."," ברשת מהירה עם p50 = 250ms TTFC, ה-skeleton מהבהב ונעלם — מרגיז יותר מטעינה נקייה. ",[48,2546,2518],{}," הוסיפו עיכוב של 100ms לפני הצגת ה-skeleton (",[65,2549,2550],{},"setTimeout","), או אל תציגו כלל ברשתות מהירות (",[65,2553,2554],{},"navigator.connection.effectiveType",").",[16,2557,2558,2561,2562,2564],{},[48,2559,2560],{},"4. Optimistic UI שלא מתכנס עם התגובה האמיתית."," הציגו skeleton מזג אוויר, ה-AI החליט שהבקשה בעצם על חדשות — המשתמש רואה קפיצה. ",[48,2563,2518],{}," optimistic UI רק לטריגרים הברורים ביותר (התאמה מדויקת של מילים, לא substring), ו-fallback חלק ל-skeleton גנרי כשאין התאמה.",[16,2566,2567,2570,2571,2573,2574,2535,2576,2578],{},[48,2568,2569],{},"5. Redis cache עם TTL של 5 דקות על נתונים מותאמים אישית."," מפתח cache ללא ",[65,2572,630],{}," — ומשתמש A רואה את הדשבורד של משתמש B. זו דליפת נתונים, לא באג ביצועים. ",[48,2575,2518],{},[65,2577,630],{}," תמיד חלק מהמפתח, namespaces נפרדים לנתונים ציבוריים\u002Fפרטיים, audit log על cache hits.",[16,2580,2581,2584,2585,2587],{},[48,2582,2583],{},"6. GPT-4o-mini לסיווג כוונות עם 50+ כלים."," מודלים קטנים מאבדים כיוון ב-tool registries ארוכות — מתחילים לקרוא לכלים לא מתאימים. החיסכון בלטנסי הופך לגידול בשגיאות. ",[48,2586,2518],{}," ל-tool registry עם יותר מ-20 כלים, השתמשו ב-GPT-4o או פצלו את ה-registry לדומיינים עם router.",[11,2589,2591],{"id":2590},"הגדרות-redis-לייצור","הגדרות Redis לייצור",[16,2593,2594],{},"אם הגעתם לאסטרטגיה 3 והיא באמת נחוצה לכם — הנה ההגדרה שעובדת אצלי:",[249,2596,2598],{"className":251,"code":2597,"language":253,"meta":254,"style":254},"import Redis from 'ioredis';\n\nconst redis = new Redis(process.env.REDIS_URL!, {\n maxRetriesPerRequest: 2,\n enableReadyCheck: true,\n \u002F\u002F Don't block a request more than 50ms on cache lookup — better to recompute\n commandTimeout: 50,\n});\n\n\u002F\u002F TTL set by data update frequency, not \"5 minutes for everything\"\nconst TTL_BY_DATA_TYPE = {\n staticReference: 24 * 60 * 60, \u002F\u002F 24h: reference data, documentation\n userDashboard: 5 * 60, \u002F\u002F 5min: personal data\n marketData: 30, \u002F\u002F 30s: quotes, news\n realtime: 0, \u002F\u002F 0: don't cache, streaming data\n};\n\n\u002F\u002F Eviction policy in redis.conf: allkeys-lru\n\u002F\u002F maxmemory 512mb (for a typical MVP)\n\u002F\u002F maxmemory-policy allkeys-lru\n",[65,2599,2600,2614,2618,2643,2653,2662,2667,2677,2682,2686,2691,2702,2724,2742,2756,2769,2773,2777,2782,2787],{"__ignoreMap":254},[258,2601,2602,2604,2607,2609,2612],{"class":260,"line":261},[258,2603,938],{"class":365},[258,2605,2606],{"class":268}," Redis ",[258,2608,944],{"class":365},[258,2610,2611],{"class":289}," 'ioredis'",[258,2613,950],{"class":268},[258,2615,2616],{"class":260,"line":272},[258,2617,414],{"emptyLinePlaceholder":413},[258,2619,2620,2622,2625,2627,2629,2632,2635,2638,2641],{"class":260,"line":280},[258,2621,1019],{"class":365},[258,2623,2624],{"class":659}," redis",[258,2626,663],{"class":365},[258,2628,1027],{"class":365},[258,2630,2631],{"class":264}," Redis",[258,2633,2634],{"class":268},"(process.env.",[258,2636,2637],{"class":659},"REDIS_URL",[258,2639,2640],{"class":365},"!",[258,2642,2420],{"class":268},[258,2644,2645,2648,2651],{"class":260,"line":296},[258,2646,2647],{"class":268}," maxRetriesPerRequest: ",[258,2649,2650],{"class":659},"2",[258,2652,293],{"class":268},[258,2654,2655,2658,2660],{"class":260,"line":311},[258,2656,2657],{"class":268}," enableReadyCheck: ",[258,2659,2237],{"class":659},[258,2661,293],{"class":268},[258,2663,2664],{"class":260,"line":323},[258,2665,2666],{"class":385}," \u002F\u002F Don't block a request more than 50ms on cache lookup — better to recompute\n",[258,2668,2669,2672,2675],{"class":260,"line":351},[258,2670,2671],{"class":268}," commandTimeout: ",[258,2673,2674],{"class":659},"50",[258,2676,293],{"class":268},[258,2678,2679],{"class":260,"line":357},[258,2680,2681],{"class":268},"});\n",[258,2683,2684],{"class":260,"line":382},[258,2685,414],{"emptyLinePlaceholder":413},[258,2687,2688],{"class":260,"line":389},[258,2689,2690],{"class":385},"\u002F\u002F TTL set by data update frequency, not \"5 minutes for everything\"\n",[258,2692,2693,2695,2698,2700],{"class":260,"line":395},[258,2694,1019],{"class":365},[258,2696,2697],{"class":659}," TTL_BY_DATA_TYPE",[258,2699,663],{"class":365},[258,2701,965],{"class":268},[258,2703,2704,2707,2710,2712,2714,2716,2718,2721],{"class":260,"line":410},[258,2705,2706],{"class":268}," staticReference: ",[258,2708,2709],{"class":659},"24",[258,2711,1205],{"class":365},[258,2713,1208],{"class":659},[258,2715,1205],{"class":365},[258,2717,1208],{"class":659},[258,2719,2720],{"class":268},", ",[258,2722,2723],{"class":385},"\u002F\u002F 24h: reference data, documentation\n",[258,2725,2726,2729,2732,2734,2736,2739],{"class":260,"line":417},[258,2727,2728],{"class":268}," userDashboard: ",[258,2730,2731],{"class":659},"5",[258,2733,1205],{"class":365},[258,2735,1208],{"class":659},[258,2737,2738],{"class":268},", ",[258,2740,2741],{"class":385},"\u002F\u002F 5min: personal data\n",[258,2743,2744,2747,2750,2753],{"class":260,"line":423},[258,2745,2746],{"class":268}," marketData: ",[258,2748,2749],{"class":659},"30",[258,2751,2752],{"class":268},", ",[258,2754,2755],{"class":385},"\u002F\u002F 30s: quotes, news\n",[258,2757,2758,2761,2763,2766],{"class":260,"line":429},[258,2759,2760],{"class":268}," realtime: ",[258,2762,121],{"class":659},[258,2764,2765],{"class":268},", ",[258,2767,2768],{"class":385},"\u002F\u002F 0: don't cache, streaming data\n",[258,2770,2771],{"class":260,"line":451},[258,2772,1700],{"class":268},[258,2774,2775],{"class":260,"line":457},[258,2776,414],{"emptyLinePlaceholder":413},[258,2778,2779],{"class":260,"line":463},[258,2780,2781],{"class":385},"\u002F\u002F Eviction policy in redis.conf: allkeys-lru\n",[258,2783,2784],{"class":260,"line":870},[258,2785,2786],{"class":385},"\u002F\u002F maxmemory 512mb (for a typical MVP)\n",[258,2788,2789],{"class":260,"line":876},[258,2790,2791],{"class":385},"\u002F\u002F maxmemory-policy allkeys-lru\n",[16,2793,2794,2795,2798,2799,2802],{},"מדיניות eviction מסוג ",[65,2796,2797],{},"allkeys-lru"," חשובה יותר ממה שנדמה: בלעדיה, כשה-Redis יתמלא הוא יתחיל לסרב לכתיבת מפתחות חדשים — זה כשל איטי במקום degradation חלק. בטל cache דרך פטרנים (",[65,2800,2801],{},"redis.del('user:123:*')"," דרך SCAN), לא דרך מחיקות נקודתיות — הרבה יותר אמין על מפתחות חמים.",[11,2804,2806],{"id":2805},"מספרים-אמיתיים-מהייצור-שלי","מספרים אמיתיים מהייצור שלי",[16,2808,2809],{},"נתונים מאחד המוצרים שלי על Generative UI (~2000 DAU, דשבורד עם 8 כלים, אזור US East, ינואר 2026):",[80,2811,2812,2828],{},[83,2813,2814],{},[86,2815,2816,2819,2822,2825],{},[89,2817,2818],{},"מדד",[89,2820,2821],{},"לפני אופטימיזציה",[89,2823,2824],{},"אחרי אסטרטגיות 1+2+4",[89,2826,2827],{},"אחרי כל 6",[105,2829,2830,2844,2858,2872,2886,2900,2914],{},[86,2831,2832,2835,2838,2841],{},[110,2833,2834],{},"TTFC p50",[110,2836,2837],{},"580ms",[110,2839,2840],{},"145ms",[110,2842,2843],{},"90ms",[86,2845,2846,2849,2852,2855],{},[110,2847,2848],{},"TTFC p95",[110,2850,2851],{},"1100ms",[110,2853,2854],{},"320ms",[110,2856,2857],{},"240ms",[86,2859,2860,2863,2866,2869],{},[110,2861,2862],{},"TTIC p50",[110,2864,2865],{},"1400ms",[110,2867,2868],{},"720ms",[110,2870,2871],{},"380ms (cache hit)",[86,2873,2874,2877,2880,2883],{},[110,2875,2876],{},"TTIC p95",[110,2878,2879],{},"2800ms",[110,2881,2882],{},"1500ms",[110,2884,2885],{},"1300ms (cache miss)",[86,2887,2888,2891,2894,2897],{},[110,2889,2890],{},"CLS",[110,2892,2893],{},"0.18",[110,2895,2896],{},"0.04",[110,2898,2899],{},"0.03",[86,2901,2902,2905,2908,2911],{},[110,2903,2904],{},"עלות לבקשה",[110,2906,2907],{},"$0.012",[110,2909,2910],{},"$0.002",[110,2912,2913],{},"$0.0015",[86,2915,2916,2919,2922,2925],{},[110,2917,2918],{},"מורכבות קוד",[110,2920,2921],{},"baseline",[110,2923,2924],{},"+~150 LOC",[110,2926,2927],{},"+~600 LOC + Redis",[16,2929,2930],{},"התובנה העיקרית: אסטרטגיות 1+2+4 נתנו 80% מהרווח ב-20% מהמורכבות. אסטרטגיות 3, 5, 6 — 20% השיפור הנותרים ב-80% מהמורכבות הנוספת. אם אין לכם צוות לתחזוקת Redis cluster ו-SLA על cache invalidation — אסטרטגיות 1+2+4 הן נקודת הסיום, לא התחנה הביניים.",[11,2932,2934],{"id":2933},"השינוי-הארכיטקטורלי-שבדרך-כלל-לא-מספרים-עליו","השינוי הארכיטקטורלי שבדרך כלל לא מספרים עליו",[16,2936,2937],{},"אם אתם עוברים מ\"single render\" (דף אחד — תגובה אחת) ל\"progressive delivery\" (סטרימינג + skeletons), זו לא אופטימיזציה — זה שינוי ארכיטקטורה. מה משתנה:",[2939,2940,2941,2944,2947,2950],"ul",{},[45,2942,2943],{},"קוד שרת נכתב כ-async generators, לא כפונקציות רגילות — מודל מנטלי שונה.",[45,2945,2946],{},"Error boundaries ב-React עובדים אחרת עבור streamed content — נדרשים רכיבי fallback בכל רמה.",[45,2948,2949],{},"SEO ו-SSR דורשים אסטרטגיה נפרדת: תוכן AI שבוצע לו streaming לא מאונדקס כברירת מחדל.",[45,2951,2952],{},"בדיקות מסתבכות: snapshot tests למצבי skeleton ביניים ולרינדור הסופי.",[16,2954,2955],{},"המעיתי את עלות השינוי הזה בפרויקט הראשון — תיכננתי יומיים, בזבזתי שבועיים. בפרויקט השני — תכננתי שבועיים מראש וסיימתי בזמן. אם המוצר שלכם לא עושה סטרימינג עכשיו, ואתם מתכננים להטמיע אסטרטגיה 1 — תכננו שבועות, לא שעות.",[2957,2958],"hr",{},[16,2960,2961],{},[20,2962,2963,2964,2969],{},"מתמודדים עם אתגרי ביצועים ב-GenUI? ",[2965,2966,2968],"a",{"href":2967},"\u002Fservices","בואו נדבר"," — אופטימיזציה על כל ה-stack היא התמחות.",[2971,2972,2973],"style",{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .s9eBZ, html code.shiki .s9eBZ{--shiki-default:#22863A;--shiki-dark:#85E89D}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}",{"title":254,"searchDepth":272,"depth":272,"links":2975},[2976,2977,2978,2979,2980,2981,2982,2983,2984,2985,2986,2987,2988,2989,2990,2991],{"id":13,"depth":272,"text":14},{"id":36,"depth":272,"text":37},{"id":74,"depth":272,"text":75},{"id":212,"depth":272,"text":213},{"id":243,"depth":272,"text":244},{"id":594,"depth":272,"text":595},{"id":921,"depth":272,"text":922},{"id":1377,"depth":272,"text":1378},{"id":1557,"depth":272,"text":1558},{"id":1762,"depth":272,"text":1763},{"id":2075,"depth":272,"text":2076},{"id":2290,"depth":272,"text":2291},{"id":2501,"depth":272,"text":2502},{"id":2590,"depth":272,"text":2591},{"id":2805,"depth":272,"text":2806},{"id":2933,"depth":272,"text":2934},"deep-dive","2026-01-30","כיצד לשמור על ממשקים מבוססי AI מהירים: אסטרטגיות סטרימינג, אופטימיזציית bundle ודפוסי רינדור.",false,"md",{"audit_status":2998,"audit_date":2999},"ship-with-revisions-applied","2026-05-11","\u002Fhe\u002Flearn\u002Fperformance-optimization-genui","13 דקות קריאה",{"title":5,"description":2994},"he\u002Flearn\u002Fperformance-optimization-genui",[3005,3006,3007,3008],"performance","optimization","streaming","generative-ui","omzoKxp5RHbKJh9bD_nbVAYb8cZaTpR6-v2umhzjpwo",[3011,6088,7422],{"id":3012,"title":3013,"author":6,"body":3014,"category":6074,"date":6075,"description":6076,"draft":2995,"extension":2996,"featured":2995,"meta":6077,"navigation":413,"path":6080,"readTime":6081,"seo":6082,"stem":6083,"tags":6084,"__hash__":6087},"content\u002Fel\u002Flearn\u002Fbuilding-generative-ui-vercel-ai-sdk.md","Κατασκευάζοντας το Πρώτο σας Generative UI με το Vercel AI SDK",{"type":8,"value":3015,"toc":6060},[3016,3020,3023,3037,3043,3047,3050,3061,3064,3096,3100,3124,3135,3154,3160,3175,3179,3182,3445,3848,3930,3934,3937,4526,4529,4545,4555,4561,4565,5483,5487,5502,5505,5535,5538,5542,5545,5573,5576,5580,5583,5903,5906,5910,5919,5932,5945,5964,5970,5974,5977,6009,6012,6014,6018,6021,6046,6048,6057],[11,3017,3019],{"id":3018},"προαπαιτούμενα","Προαπαιτούμενα",[16,3021,3022],{},"Πριν ξεκινήσουμε, βεβαιωθείτε ότι έχετε:",[2939,3024,3025,3028,3031,3034],{},[45,3026,3027],{},"Node.js 18+ εγκατεστημένο",[45,3029,3030],{},"Ένα έργο Next.js 14+ που χρησιμοποιεί το App Router",[45,3032,3033],{},"Ένα κλειδί API OpenAI (ή Anthropic — το SDK υποστηρίζει και τα δύο)",[45,3035,3036],{},"Βασική εξοικείωση με τα React Server Components",[16,3038,3039,3040,3042],{},"Αν είστε νέος στο RSC, αφιερώστε 15 λεπτά στα έγγραφα του Next.js για τα Server Components πρώτα. Η συνάρτηση ",[65,3041,127],{}," του Vercel AI SDK εξαρτάται από το RSC και γίνεται πολύ πιο κατανοητή μόλις κατανοήσετε το μοντέλο.",[11,3044,3046],{"id":3045},"τι-κατασκευάζουμε","Τι Κατασκευάζουμε",[16,3048,3049],{},"Θα κατασκευάσουμε έναν απλό AI-powered βοηθό που παράγει διαδραστική διεπαφή βάσει prompt χρήστη. Στο τέλος αυτού του οδηγού, θα έχετε μια λειτουργική δυνατότητα Generative UI που:",[42,3051,3052,3055,3058],{},[45,3053,3054],{},"Λαμβάνει ένα prompt κειμένου από τον χρήστη",[45,3056,3057],{},"Μεταδίδει με streaming συστατικά React πίσω από τον server",[45,3059,3060],{},"Αποδίδει διαδραστικές κάρτες και γραφήματα βάσει των αποφάσεων του AI",[16,3062,3063],{},"Το παράδειγμα αφορά έναν χρηματοοικονομικό βοηθό που μπορεί να εμφανίζει τιμές μετοχών και δεδομένα καιρού — αρκετά απλό για γρήγορη κατανόηση, αρκετά σύνθετο για να δείξει πραγματικά μοτίβα.",[3065,3066,3067],"blockquote",{},[16,3068,3069,3070,3076,3077,3080,3081,3084,3085,3089,3090,833],{},"⚠️ ",[48,3071,3072,3073,3075],{},"Το AI SDK RSC και το ",[65,3074,127],{}," είναι επισημασμένα από τη Vercel ως experimental."," Για production projects η Vercel συνιστά το AI SDK UI (",[65,3078,3079],{},"useChat"," από ",[65,3082,3083],{},"@ai-sdk\u002Freact","). Αυτό το άρθρο δείχνει ένα λειτουργικό μοτίβο RSC streaming για πρωτότυπα, demos και ελεγχόμενα περιβάλλοντα· για production αξιολόγησε τους trade-offs και δες την ενότητα ",[2965,3086,3088],{"href":3087},"#%CF%80%CF%8C%CF%84%CE%B5-vercel-ai-sdk-%CE%B4%CE%B5%CE%BD-%CE%B5%CE%AF%CE%BD%CE%B1%CE%B9-%CE%B7-%CE%BA%CE%B1%CF%84%CE%AC%CE%BB%CE%BB%CE%B7%CE%BB%CE%B7-%CE%B5%CF%80%CE%B9%CE%BB%CE%BF%CE%B3%CE%AE","«Πότε το Vercel AI SDK ΔΕΝ είναι η κατάλληλη επιλογή»",". ",[2965,3091,3095],{"href":3092,"rel":3093},"https:\u002F\u002Fai-sdk.dev\u002Fdocs\u002Fai-sdk-rsc\u002Fmigrating-to-ui",[3094],"nofollow","Migration guide RSC → UI",[11,3097,3099],{"id":3098},"βήμα-1-εγκατάσταση-εξαρτήσεων","Βήμα 1: Εγκατάσταση Εξαρτήσεων",[249,3101,3105],{"className":3102,"code":3103,"language":3104,"meta":254,"style":254},"language-bash shiki shiki-themes github-light github-dark","npm install ai@^4 @ai-sdk\u002Fopenai@^1 zod\n","bash",[65,3106,3107],{"__ignoreMap":254},[258,3108,3109,3112,3115,3118,3121],{"class":260,"line":261},[258,3110,3111],{"class":264},"npm",[258,3113,3114],{"class":289}," install",[258,3116,3117],{"class":289}," ai@^4",[258,3119,3120],{"class":289}," @ai-sdk\u002Fopenai@^1",[258,3122,3123],{"class":289}," zod\n",[16,3125,3126,3127,3130,3131,3134],{},"Pin v4 — η τελευταία σειρά με RSC API στη μορφή ",[65,3128,3129],{},"parameters:"," και import από ",[65,3132,3133],{},"ai\u002Frsc",". Για v5+ δες τη σημείωση στο τέλος του άρθρου.",[16,3136,3137,3138,3141,3142,3145,3146,3149,3150,3153],{},"Το πακέτο ",[65,3139,3140],{},"ai"," είναι ο πυρήνας του Vercel AI SDK. Το ",[65,3143,3144],{},"@ai-sdk\u002Fopenai"," είναι ο πάροχος OpenAI (αντικατέστησε με ",[65,3147,3148],{},"@ai-sdk\u002Fanthropic"," αν προτιμάς Claude). Το ",[65,3151,3152],{},"zod"," χειρίζεται την επικύρωση παραμέτρων εργαλείων — έτσι ορίζεις ποιες παραμέτρους μπορεί να περνά το AI σε κάθε συστατικό.",[16,3155,3156,3157,973],{},"Προσθέστε το κλειδί API σας στο ",[65,3158,3159],{},".env.local",[249,3161,3163],{"className":3102,"code":3162,"language":3104,"meta":254,"style":254},"OPENAI_API_KEY=sk-...\n",[65,3164,3165],{"__ignoreMap":254},[258,3166,3167,3170,3172],{"class":260,"line":261},[258,3168,3169],{"class":268},"OPENAI_API_KEY",[258,3171,507],{"class":365},[258,3173,3174],{"class":289},"sk-...\n",[11,3176,3178],{"id":3177},"βήμα-2-δημιουργία-βιβλιοθήκης-συστατικών","Βήμα 2: Δημιουργία Βιβλιοθήκης Συστατικών",[16,3180,3181],{},"Ορίστε τα συστατικά που μπορεί να παράγει το AI. Αυτά είναι κανονικά συστατικά React — δεν έχουν τίποτα ειδικό για AI. Η βασική αρχή σχεδιασμού: κατασκευάστε συστατικά που είναι χρήσιμα αυτόνομα, και θα μπορούν να τα συνθέτει το AI.",[249,3183,3185],{"className":482,"code":3184,"language":484,"meta":254,"style":254},"\u002F\u002F components\u002Fweather-card.tsx\ninterface WeatherCardProps {\n city: string;\n temperature: number;\n conditions: string;\n humidity: number;\n}\n\nexport function WeatherCard({ city, temperature, conditions, humidity }: WeatherCardProps) {\n return (\n \u003Cdiv className=\"rounded-lg border bg-card p-6 shadow-sm\">\n \u003Ch3 className=\"text-lg font-semibold\">{city}\u003C\u002Fh3>\n \u003Cdiv className=\"mt-2 flex items-baseline gap-2\">\n \u003Cspan className=\"text-4xl font-bold\">{temperature}°C\u003C\u002Fspan>\n \u003Cspan className=\"text-muted-foreground\">{conditions}\u003C\u002Fspan>\n \u003C\u002Fdiv>\n \u003Cp className=\"mt-2 text-sm text-muted-foreground\">\n Humidity: {humidity}%\n \u003C\u002Fp>\n \u003C\u002Fdiv>\n );\n}\n",[65,3186,3187,3192,3201,3212,3223,3234,3245,3249,3253,3291,3297,3312,3334,3349,3370,3390,3399,3414,3419,3427,3436,3441],{"__ignoreMap":254},[258,3188,3189],{"class":260,"line":261},[258,3190,3191],{"class":385},"\u002F\u002F components\u002Fweather-card.tsx\n",[258,3193,3194,3196,3199],{"class":260,"line":272},[258,3195,959],{"class":365},[258,3197,3198],{"class":264}," WeatherCardProps",[258,3200,965],{"class":268},[258,3202,3203,3206,3208,3210],{"class":260,"line":280},[258,3204,3205],{"class":375}," city",[258,3207,973],{"class":365},[258,3209,1066],{"class":659},[258,3211,950],{"class":268},[258,3213,3214,3217,3219,3221],{"class":260,"line":296},[258,3215,3216],{"class":375}," temperature",[258,3218,973],{"class":365},[258,3220,993],{"class":659},[258,3222,950],{"class":268},[258,3224,3225,3228,3230,3232],{"class":260,"line":311},[258,3226,3227],{"class":375}," conditions",[258,3229,973],{"class":365},[258,3231,1066],{"class":659},[258,3233,950],{"class":268},[258,3235,3236,3239,3241,3243],{"class":260,"line":323},[258,3237,3238],{"class":375}," humidity",[258,3240,973],{"class":365},[258,3242,993],{"class":659},[258,3244,950],{"class":268},[258,3246,3247],{"class":260,"line":351},[258,3248,466],{"class":268},[258,3250,3251],{"class":260,"line":357},[258,3252,414],{"emptyLinePlaceholder":413},[258,3254,3255,3257,3259,3262,3264,3267,3269,3272,3274,3277,3279,3282,3285,3287,3289],{"class":260,"line":382},[258,3256,1152],{"class":365},[258,3258,1158],{"class":365},[258,3260,3261],{"class":264}," WeatherCard",[258,3263,1329],{"class":268},[258,3265,3266],{"class":375},"city",[258,3268,633],{"class":268},[258,3270,3271],{"class":375},"temperature",[258,3273,633],{"class":268},[258,3275,3276],{"class":375},"conditions",[258,3278,633],{"class":268},[258,3280,3281],{"class":375},"humidity",[258,3283,3284],{"class":268}," }",[258,3286,973],{"class":365},[258,3288,3198],{"class":264},[258,3290,379],{"class":268},[258,3292,3293,3295],{"class":260,"line":389},[258,3294,725],{"class":365},[258,3296,528],{"class":268},[258,3298,3299,3301,3303,3305,3307,3310],{"class":260,"line":395},[258,3300,550],{"class":268},[258,3302,501],{"class":500},[258,3304,504],{"class":264},[258,3306,507],{"class":365},[258,3308,3309],{"class":289},"\"rounded-lg border bg-card p-6 shadow-sm\"",[258,3311,545],{"class":268},[258,3313,3314,3317,3320,3322,3324,3327,3330,3332],{"class":260,"line":410},[258,3315,3316],{"class":268}," \u003C",[258,3318,3319],{"class":500},"h3",[258,3321,504],{"class":264},[258,3323,507],{"class":365},[258,3325,3326],{"class":289},"\"text-lg font-semibold\"",[258,3328,3329],{"class":268},">{city}\u003C\u002F",[258,3331,3319],{"class":500},[258,3333,545],{"class":268},[258,3335,3336,3338,3340,3342,3344,3347],{"class":260,"line":417},[258,3337,3316],{"class":268},[258,3339,501],{"class":500},[258,3341,504],{"class":264},[258,3343,507],{"class":365},[258,3345,3346],{"class":289},"\"mt-2 flex items-baseline gap-2\"",[258,3348,545],{"class":268},[258,3350,3351,3354,3356,3358,3360,3363,3366,3368],{"class":260,"line":423},[258,3352,3353],{"class":268}," \u003C",[258,3355,258],{"class":500},[258,3357,504],{"class":264},[258,3359,507],{"class":365},[258,3361,3362],{"class":289},"\"text-4xl font-bold\"",[258,3364,3365],{"class":268},">{temperature}°C\u003C\u002F",[258,3367,258],{"class":500},[258,3369,545],{"class":268},[258,3371,3372,3374,3376,3378,3380,3383,3386,3388],{"class":260,"line":429},[258,3373,3353],{"class":268},[258,3375,258],{"class":500},[258,3377,504],{"class":264},[258,3379,507],{"class":365},[258,3381,3382],{"class":289},"\"text-muted-foreground\"",[258,3384,3385],{"class":268},">{conditions}\u003C\u002F",[258,3387,258],{"class":500},[258,3389,545],{"class":268},[258,3391,3392,3395,3397],{"class":260,"line":451},[258,3393,3394],{"class":268}," \u003C\u002F",[258,3396,501],{"class":500},[258,3398,545],{"class":268},[258,3400,3401,3403,3405,3407,3409,3412],{"class":260,"line":457},[258,3402,3316],{"class":268},[258,3404,16],{"class":500},[258,3406,504],{"class":264},[258,3408,507],{"class":365},[258,3410,3411],{"class":289},"\"mt-2 text-sm text-muted-foreground\"",[258,3413,545],{"class":268},[258,3415,3416],{"class":260,"line":463},[258,3417,3418],{"class":268}," Humidity: {humidity}%\n",[258,3420,3421,3423,3425],{"class":260,"line":870},[258,3422,3394],{"class":268},[258,3424,16],{"class":500},[258,3426,545],{"class":268},[258,3428,3429,3432,3434],{"class":260,"line":876},[258,3430,3431],{"class":268}," \u003C\u002F",[258,3433,501],{"class":500},[258,3435,545],{"class":268},[258,3437,3438],{"class":260,"line":909},[258,3439,3440],{"class":268}," );\n",[258,3442,3443],{"class":260,"line":1223},[258,3444,466],{"class":268},[249,3446,3448],{"className":482,"code":3447,"language":484,"meta":254,"style":254},"\u002F\u002F components\u002Fstock-ticker.tsx\ninterface StockTickerProps {\n symbol: string;\n price: number;\n change: number;\n changePercent: number;\n}\n\nexport function StockTicker({ symbol, price, change, changePercent }: StockTickerProps) {\n const isPositive = change >= 0;\n const sign = isPositive ? '+' : '';\n const color = isPositive ? 'text-green-600' : 'text-red-600';\n\n return (\n \u003Cdiv className=\"rounded-lg border bg-card p-6 shadow-sm\">\n \u003Cdiv className=\"flex items-center justify-between\">\n \u003Ch3 className=\"text-xl font-bold\">{symbol}\u003C\u002Fh3>\n \u003Cspan className={`text-sm font-medium ${color}`}>\n {sign}{changePercent.toFixed(2)}%\n \u003C\u002Fspan>\n \u003C\u002Fdiv>\n \u003Cdiv className=\"mt-2 flex items-baseline gap-2\">\n \u003Cspan className=\"text-3xl font-bold\">${price.toFixed(2)}\u003C\u002Fspan>\n \u003Cspan className={`text-sm ${color}`}>\n {sign}{change.toFixed(2)} today\n \u003C\u002Fspan>\n \u003C\u002Fdiv>\n \u003C\u002Fdiv>\n );\n}\n",[65,3449,3450,3455,3464,3475,3486,3497,3508,3512,3516,3553,3573,3599,3622,3626,3632,3646,3661,3681,3706,3721,3730,3738,3752,3781,3802,3816,3824,3832,3840,3844],{"__ignoreMap":254},[258,3451,3452],{"class":260,"line":261},[258,3453,3454],{"class":385},"\u002F\u002F components\u002Fstock-ticker.tsx\n",[258,3456,3457,3459,3462],{"class":260,"line":272},[258,3458,959],{"class":365},[258,3460,3461],{"class":264}," StockTickerProps",[258,3463,965],{"class":268},[258,3465,3466,3469,3471,3473],{"class":260,"line":280},[258,3467,3468],{"class":375}," symbol",[258,3470,973],{"class":365},[258,3472,1066],{"class":659},[258,3474,950],{"class":268},[258,3476,3477,3480,3482,3484],{"class":260,"line":296},[258,3478,3479],{"class":375}," price",[258,3481,973],{"class":365},[258,3483,993],{"class":659},[258,3485,950],{"class":268},[258,3487,3488,3491,3493,3495],{"class":260,"line":311},[258,3489,3490],{"class":375}," change",[258,3492,973],{"class":365},[258,3494,993],{"class":659},[258,3496,950],{"class":268},[258,3498,3499,3502,3504,3506],{"class":260,"line":323},[258,3500,3501],{"class":375}," changePercent",[258,3503,973],{"class":365},[258,3505,993],{"class":659},[258,3507,950],{"class":268},[258,3509,3510],{"class":260,"line":351},[258,3511,466],{"class":268},[258,3513,3514],{"class":260,"line":357},[258,3515,414],{"emptyLinePlaceholder":413},[258,3517,3518,3520,3522,3525,3527,3530,3532,3535,3537,3540,3542,3545,3547,3549,3551],{"class":260,"line":382},[258,3519,1152],{"class":365},[258,3521,1158],{"class":365},[258,3523,3524],{"class":264}," StockTicker",[258,3526,1329],{"class":268},[258,3528,3529],{"class":375},"symbol",[258,3531,633],{"class":268},[258,3533,3534],{"class":375},"price",[258,3536,633],{"class":268},[258,3538,3539],{"class":375},"change",[258,3541,633],{"class":268},[258,3543,3544],{"class":375},"changePercent",[258,3546,3284],{"class":268},[258,3548,973],{"class":365},[258,3550,3461],{"class":264},[258,3552,379],{"class":268},[258,3554,3555,3557,3560,3562,3565,3568,3571],{"class":260,"line":389},[258,3556,656],{"class":365},[258,3558,3559],{"class":659}," isPositive",[258,3561,663],{"class":365},[258,3563,3564],{"class":268}," change ",[258,3566,3567],{"class":365},">=",[258,3569,3570],{"class":659}," 0",[258,3572,950],{"class":268},[258,3574,3575,3577,3580,3582,3585,3588,3591,3594,3597],{"class":260,"line":395},[258,3576,656],{"class":365},[258,3578,3579],{"class":659}," sign",[258,3581,663],{"class":365},[258,3583,3584],{"class":268}," isPositive ",[258,3586,3587],{"class":365},"?",[258,3589,3590],{"class":289}," '+'",[258,3592,3593],{"class":365}," :",[258,3595,3596],{"class":289}," ''",[258,3598,950],{"class":268},[258,3600,3601,3603,3606,3608,3610,3612,3615,3617,3620],{"class":260,"line":410},[258,3602,656],{"class":365},[258,3604,3605],{"class":659}," color",[258,3607,663],{"class":365},[258,3609,3584],{"class":268},[258,3611,3587],{"class":365},[258,3613,3614],{"class":289}," 'text-green-600'",[258,3616,3593],{"class":365},[258,3618,3619],{"class":289}," 'text-red-600'",[258,3621,950],{"class":268},[258,3623,3624],{"class":260,"line":417},[258,3625,414],{"emptyLinePlaceholder":413},[258,3627,3628,3630],{"class":260,"line":423},[258,3629,725],{"class":365},[258,3631,528],{"class":268},[258,3633,3634,3636,3638,3640,3642,3644],{"class":260,"line":429},[258,3635,550],{"class":268},[258,3637,501],{"class":500},[258,3639,504],{"class":264},[258,3641,507],{"class":365},[258,3643,3309],{"class":289},[258,3645,545],{"class":268},[258,3647,3648,3650,3652,3654,3656,3659],{"class":260,"line":451},[258,3649,3316],{"class":268},[258,3651,501],{"class":500},[258,3653,504],{"class":264},[258,3655,507],{"class":365},[258,3657,3658],{"class":289},"\"flex items-center justify-between\"",[258,3660,545],{"class":268},[258,3662,3663,3665,3667,3669,3671,3674,3677,3679],{"class":260,"line":457},[258,3664,3353],{"class":268},[258,3666,3319],{"class":500},[258,3668,504],{"class":264},[258,3670,507],{"class":365},[258,3672,3673],{"class":289},"\"text-xl font-bold\"",[258,3675,3676],{"class":268},">{symbol}\u003C\u002F",[258,3678,3319],{"class":500},[258,3680,545],{"class":268},[258,3682,3683,3685,3687,3689,3691,3694,3697,3700,3703],{"class":260,"line":463},[258,3684,3353],{"class":268},[258,3686,258],{"class":500},[258,3688,504],{"class":264},[258,3690,507],{"class":365},[258,3692,3693],{"class":268},"{",[258,3695,3696],{"class":289},"`text-sm font-medium ${",[258,3698,3699],{"class":268},"color",[258,3701,3702],{"class":289},"}`",[258,3704,3705],{"class":268},"}>\n",[258,3707,3708,3711,3714,3716,3718],{"class":260,"line":870},[258,3709,3710],{"class":268}," {sign}{changePercent.",[258,3712,3713],{"class":264},"toFixed",[258,3715,1058],{"class":268},[258,3717,2650],{"class":659},[258,3719,3720],{"class":268},")}%\n",[258,3722,3723,3726,3728],{"class":260,"line":876},[258,3724,3725],{"class":268}," \u003C\u002F",[258,3727,258],{"class":500},[258,3729,545],{"class":268},[258,3731,3732,3734,3736],{"class":260,"line":909},[258,3733,3394],{"class":268},[258,3735,501],{"class":500},[258,3737,545],{"class":268},[258,3739,3740,3742,3744,3746,3748,3750],{"class":260,"line":1223},[258,3741,3316],{"class":268},[258,3743,501],{"class":500},[258,3745,504],{"class":264},[258,3747,507],{"class":365},[258,3749,3346],{"class":289},[258,3751,545],{"class":268},[258,3753,3754,3756,3758,3760,3762,3765,3768,3770,3772,3774,3777,3779],{"class":260,"line":1238},[258,3755,3353],{"class":268},[258,3757,258],{"class":500},[258,3759,504],{"class":264},[258,3761,507],{"class":365},[258,3763,3764],{"class":289},"\"text-3xl font-bold\"",[258,3766,3767],{"class":268},">${price.",[258,3769,3713],{"class":264},[258,3771,1058],{"class":268},[258,3773,2650],{"class":659},[258,3775,3776],{"class":268},")}\u003C\u002F",[258,3778,258],{"class":500},[258,3780,545],{"class":268},[258,3782,3783,3785,3787,3789,3791,3793,3796,3798,3800],{"class":260,"line":1257},[258,3784,3353],{"class":268},[258,3786,258],{"class":500},[258,3788,504],{"class":264},[258,3790,507],{"class":365},[258,3792,3693],{"class":268},[258,3794,3795],{"class":289},"`text-sm ${",[258,3797,3699],{"class":268},[258,3799,3702],{"class":289},[258,3801,3705],{"class":268},[258,3803,3804,3807,3809,3811,3813],{"class":260,"line":1262},[258,3805,3806],{"class":268}," {sign}{change.",[258,3808,3713],{"class":264},[258,3810,1058],{"class":268},[258,3812,2650],{"class":659},[258,3814,3815],{"class":268},")} today\n",[258,3817,3818,3820,3822],{"class":260,"line":1294},[258,3819,3725],{"class":268},[258,3821,258],{"class":500},[258,3823,545],{"class":268},[258,3825,3826,3828,3830],{"class":260,"line":1303},[258,3827,3394],{"class":268},[258,3829,501],{"class":500},[258,3831,545],{"class":268},[258,3833,3834,3836,3838],{"class":260,"line":1309},[258,3835,3431],{"class":268},[258,3837,501],{"class":500},[258,3839,545],{"class":268},[258,3841,3842],{"class":260,"line":1314},[258,3843,3440],{"class":268},[258,3845,3846],{"class":260,"line":1338},[258,3847,466],{"class":268},[249,3849,3851],{"className":482,"code":3850,"language":484,"meta":254,"style":254},"\u002F\u002F components\u002Floading-skeleton.tsx\nexport function CardSkeleton({ height = 'h-32' }: { height?: string }) {\n return (\n \u003Cdiv className={`animate-pulse rounded-lg bg-muted ${height} w-full`} \u002F>\n );\n}\n",[65,3852,3853,3858,3893,3899,3922,3926],{"__ignoreMap":254},[258,3854,3855],{"class":260,"line":261},[258,3856,3857],{"class":385},"\u002F\u002F components\u002Floading-skeleton.tsx\n",[258,3859,3860,3862,3864,3867,3869,3872,3874,3877,3879,3881,3884,3886,3889,3891],{"class":260,"line":272},[258,3861,1152],{"class":365},[258,3863,1158],{"class":365},[258,3865,3866],{"class":264}," CardSkeleton",[258,3868,1329],{"class":268},[258,3870,3871],{"class":375},"height",[258,3873,663],{"class":365},[258,3875,3876],{"class":289}," 'h-32'",[258,3878,3284],{"class":268},[258,3880,973],{"class":365},[258,3882,3883],{"class":268}," { ",[258,3885,3871],{"class":375},[258,3887,3888],{"class":365},"?:",[258,3890,1066],{"class":659},[258,3892,639],{"class":268},[258,3894,3895,3897],{"class":260,"line":280},[258,3896,725],{"class":365},[258,3898,528],{"class":268},[258,3900,3901,3903,3905,3907,3909,3911,3914,3916,3919],{"class":260,"line":296},[258,3902,550],{"class":268},[258,3904,501],{"class":500},[258,3906,504],{"class":264},[258,3908,507],{"class":365},[258,3910,3693],{"class":268},[258,3912,3913],{"class":289},"`animate-pulse rounded-lg bg-muted ${",[258,3915,3871],{"class":268},[258,3917,3918],{"class":289},"} w-full`",[258,3920,3921],{"class":268},"} \u002F>\n",[258,3923,3924],{"class":260,"line":311},[258,3925,3440],{"class":268},[258,3927,3928],{"class":260,"line":323},[258,3929,466],{"class":268},[11,3931,3933],{"id":3932},"βήμα-3-ορισμός-εργαλείων-ai-server-action","Βήμα 3: Ορισμός Εργαλείων AI (Server Action)",[16,3935,3936],{},"Αυτός είναι ο πυρήνας του Generative UI. Δημιουργήστε ένα server action που συνδέει τα συστατικά σας με το AI ως «εργαλεία» — συναρτήσεις που το μοντέλο μπορεί να αποφασίσει να καλέσει:",[249,3938,3940],{"className":482,"code":3939,"language":484,"meta":254,"style":254},"\u002F\u002F app\u002Factions.tsx\n'use server';\n\nimport { streamUI } from 'ai\u002Frsc';\nimport { openai } from '@ai-sdk\u002Fopenai';\nimport { z } from 'zod';\nimport { WeatherCard } from '@\u002Fcomponents\u002Fweather-card';\nimport { StockTicker } from '@\u002Fcomponents\u002Fstock-ticker';\nimport { CardSkeleton } from '@\u002Fcomponents\u002Floading-skeleton';\n\nexport async function generateUI(prompt: string) {\n const result = await streamUI({\n model: openai('gpt-4o'),\n system: `You are a helpful financial and information assistant.\n Use the available tools to display information visually\n whenever possible. Prefer showing components over text responses.\n When asked about weather or stocks, always use the appropriate tool.`,\n prompt,\n tools: {\n showWeather: {\n description: 'Display current weather conditions for a city. Use this when the user asks about weather, temperature, or climate.',\n parameters: z.object({\n city: z.string().describe('The city name, e.g. \"Paris\" or \"New York\"'),\n temperature: z.number().describe('Current temperature in Celsius'),\n conditions: z.string().describe('Weather description, e.g. \"Partly cloudy\"'),\n humidity: z.number().min(0).max(100).describe('Relative humidity percentage'),\n }),\n generate: async function* (params) {\n \u002F\u002F Yield skeleton αμέσως ενώ τα δεδομένα «φορτώνουν»\n yield \u003CCardSkeleton height=\"h-36\" \u002F>;\n \u002F\u002F Σε πραγματική εφαρμογή, εδώ θα ανακτούσατε live δεδομένα καιρού\n return \u003CWeatherCard {...params} \u002F>;\n },\n },\n showStock: {\n description: 'Display a stock price and daily change. Use this when the user asks about stock prices, market data, or a company\\'s shares.',\n parameters: z.object({\n symbol: z.string().describe('Stock ticker symbol, e.g. \"AAPL\" or \"TSLA\"'),\n price: z.number().describe('Current stock price in USD'),\n change: z.number().describe('Price change today in USD'),\n changePercent: z.number().describe('Percentage price change today'),\n }),\n generate: async function* (params) {\n yield \u003CCardSkeleton height=\"h-32\" \u002F>;\n return \u003CStockTicker {...params} \u002F>;\n },\n },\n },\n });\n\n return result.value;\n}\n",[65,3941,3942,3947,3954,3958,3972,3986,4000,4014,4028,4042,4046,4066,4080,4094,4102,4107,4112,4119,4124,4129,4134,4144,4153,4172,4190,4208,4245,4250,4267,4272,4292,4297,4314,4320,4326,4332,4348,4357,4376,4395,4414,4433,4438,4455,4473,4489,4494,4499,4504,4509,4514,4521],{"__ignoreMap":254},[258,3943,3944],{"class":260,"line":261},[258,3945,3946],{"class":385},"\u002F\u002F app\u002Factions.tsx\n",[258,3948,3949,3952],{"class":260,"line":272},[258,3950,3951],{"class":289},"'use server'",[258,3953,950],{"class":268},[258,3955,3956],{"class":260,"line":280},[258,3957,414],{"emptyLinePlaceholder":413},[258,3959,3960,3962,3965,3967,3970],{"class":260,"line":296},[258,3961,938],{"class":365},[258,3963,3964],{"class":268}," { streamUI } ",[258,3966,944],{"class":365},[258,3968,3969],{"class":289}," 'ai\u002Frsc'",[258,3971,950],{"class":268},[258,3973,3974,3976,3979,3981,3984],{"class":260,"line":311},[258,3975,938],{"class":365},[258,3977,3978],{"class":268}," { openai } ",[258,3980,944],{"class":365},[258,3982,3983],{"class":289}," '@ai-sdk\u002Fopenai'",[258,3985,950],{"class":268},[258,3987,3988,3990,3993,3995,3998],{"class":260,"line":323},[258,3989,938],{"class":365},[258,3991,3992],{"class":268}," { z } ",[258,3994,944],{"class":365},[258,3996,3997],{"class":289}," 'zod'",[258,3999,950],{"class":268},[258,4001,4002,4004,4007,4009,4012],{"class":260,"line":351},[258,4003,938],{"class":365},[258,4005,4006],{"class":268}," { WeatherCard } ",[258,4008,944],{"class":365},[258,4010,4011],{"class":289}," '@\u002Fcomponents\u002Fweather-card'",[258,4013,950],{"class":268},[258,4015,4016,4018,4021,4023,4026],{"class":260,"line":357},[258,4017,938],{"class":365},[258,4019,4020],{"class":268}," { StockTicker } ",[258,4022,944],{"class":365},[258,4024,4025],{"class":289}," '@\u002Fcomponents\u002Fstock-ticker'",[258,4027,950],{"class":268},[258,4029,4030,4032,4035,4037,4040],{"class":260,"line":382},[258,4031,938],{"class":365},[258,4033,4034],{"class":268}," { CardSkeleton } ",[258,4036,944],{"class":365},[258,4038,4039],{"class":289}," '@\u002Fcomponents\u002Floading-skeleton'",[258,4041,950],{"class":268},[258,4043,4044],{"class":260,"line":389},[258,4045,414],{"emptyLinePlaceholder":413},[258,4047,4048,4050,4052,4054,4056,4058,4060,4062,4064],{"class":260,"line":395},[258,4049,1152],{"class":365},[258,4051,1155],{"class":365},[258,4053,1158],{"class":365},[258,4055,2022],{"class":264},[258,4057,1058],{"class":268},[258,4059,1061],{"class":375},[258,4061,973],{"class":365},[258,4063,1066],{"class":659},[258,4065,379],{"class":268},[258,4067,4068,4070,4072,4074,4076,4078],{"class":260,"line":410},[258,4069,656],{"class":365},[258,4071,1319],{"class":659},[258,4073,663],{"class":365},[258,4075,666],{"class":365},[258,4077,1326],{"class":264},[258,4079,308],{"class":268},[258,4081,4082,4085,4088,4090,4092],{"class":260,"line":417},[258,4083,4084],{"class":268}," model: ",[258,4086,4087],{"class":264},"openai",[258,4089,1058],{"class":268},[258,4091,1548],{"class":289},[258,4093,1609],{"class":268},[258,4095,4096,4099],{"class":260,"line":423},[258,4097,4098],{"class":268}," system: ",[258,4100,4101],{"class":289},"`You are a helpful financial and information assistant.\n",[258,4103,4104],{"class":260,"line":429},[258,4105,4106],{"class":289}," Use the available tools to display information visually\n",[258,4108,4109],{"class":260,"line":451},[258,4110,4111],{"class":289}," whenever possible. Prefer showing components over text responses.\n",[258,4113,4114,4117],{"class":260,"line":457},[258,4115,4116],{"class":289}," When asked about weather or stocks, always use the appropriate tool.`",[258,4118,293],{"class":268},[258,4120,4121],{"class":260,"line":463},[258,4122,4123],{"class":268}," prompt,\n",[258,4125,4126],{"class":260,"line":870},[258,4127,4128],{"class":268}," tools: {\n",[258,4130,4131],{"class":260,"line":876},[258,4132,4133],{"class":268}," showWeather: {\n",[258,4135,4136,4139,4142],{"class":260,"line":909},[258,4137,4138],{"class":268}," description: ",[258,4140,4141],{"class":289},"'Display current weather conditions for a city. Use this when the user asks about weather, temperature, or climate.'",[258,4143,293],{"class":268},[258,4145,4146,4149,4151],{"class":260,"line":1223},[258,4147,4148],{"class":268}," parameters: z.",[258,4150,305],{"class":264},[258,4152,308],{"class":268},[258,4154,4155,4158,4160,4162,4165,4167,4170],{"class":260,"line":1238},[258,4156,4157],{"class":268}," city: z.",[258,4159,317],{"class":264},[258,4161,1898],{"class":268},[258,4163,4164],{"class":264},"describe",[258,4166,1058],{"class":268},[258,4168,4169],{"class":289},"'The city name, e.g. \"Paris\" or \"New York\"'",[258,4171,1609],{"class":268},[258,4173,4174,4177,4179,4181,4183,4185,4188],{"class":260,"line":1257},[258,4175,4176],{"class":268}," temperature: z.",[258,4178,345],{"class":264},[258,4180,1898],{"class":268},[258,4182,4164],{"class":264},[258,4184,1058],{"class":268},[258,4186,4187],{"class":289},"'Current temperature in Celsius'",[258,4189,1609],{"class":268},[258,4191,4192,4195,4197,4199,4201,4203,4206],{"class":260,"line":1262},[258,4193,4194],{"class":268}," conditions: z.",[258,4196,317],{"class":264},[258,4198,1898],{"class":268},[258,4200,4164],{"class":264},[258,4202,1058],{"class":268},[258,4204,4205],{"class":289},"'Weather description, e.g. \"Partly cloudy\"'",[258,4207,1609],{"class":268},[258,4209,4210,4213,4215,4217,4220,4222,4224,4226,4229,4231,4234,4236,4238,4240,4243],{"class":260,"line":1294},[258,4211,4212],{"class":268}," humidity: z.",[258,4214,345],{"class":264},[258,4216,1898],{"class":268},[258,4218,4219],{"class":264},"min",[258,4221,1058],{"class":268},[258,4223,121],{"class":659},[258,4225,2555],{"class":268},[258,4227,4228],{"class":264},"max",[258,4230,1058],{"class":268},[258,4232,4233],{"class":659},"100",[258,4235,2555],{"class":268},[258,4237,4164],{"class":264},[258,4239,1058],{"class":268},[258,4241,4242],{"class":289},"'Relative humidity percentage'",[258,4244,1609],{"class":268},[258,4246,4247],{"class":260,"line":1303},[258,4248,4249],{"class":268}," }),\n",[258,4251,4252,4255,4257,4259,4261,4263,4265],{"class":260,"line":1309},[258,4253,4254],{"class":264}," generate",[258,4256,286],{"class":268},[258,4258,366],{"class":365},[258,4260,369],{"class":365},[258,4262,372],{"class":268},[258,4264,376],{"class":375},[258,4266,379],{"class":268},[258,4268,4269],{"class":260,"line":1314},[258,4270,4271],{"class":385}," \u002F\u002F Yield skeleton αμέσως ενώ τα δεδομένα «φορτώνουν»\n",[258,4273,4274,4277,4279,4282,4285,4287,4290],{"class":260,"line":1338},[258,4275,4276],{"class":365}," yield",[258,4278,401],{"class":268},[258,4280,4281],{"class":659},"CardSkeleton",[258,4283,4284],{"class":264}," height",[258,4286,507],{"class":365},[258,4288,4289],{"class":289},"\"h-36\"",[258,4291,407],{"class":268},[258,4293,4294],{"class":260,"line":1355},[258,4295,4296],{"class":385}," \u002F\u002F Σε πραγματική εφαρμογή, εδώ θα ανακτούσατε live δεδομένα καιρού\n",[258,4298,4299,4302,4304,4307,4309,4311],{"class":260,"line":1363},[258,4300,4301],{"class":365}," return",[258,4303,401],{"class":268},[258,4305,4306],{"class":659},"WeatherCard",[258,4308,440],{"class":268},[258,4310,443],{"class":365},[258,4312,4313],{"class":268},"params} \u002F>;\n",[258,4315,4317],{"class":260,"line":4316},33,[258,4318,4319],{"class":268}," },\n",[258,4321,4323],{"class":260,"line":4322},34,[258,4324,4325],{"class":268}," },\n",[258,4327,4329],{"class":260,"line":4328},35,[258,4330,4331],{"class":268}," showStock: {\n",[258,4333,4335,4337,4340,4343,4346],{"class":260,"line":4334},36,[258,4336,4138],{"class":268},[258,4338,4339],{"class":289},"'Display a stock price and daily change. Use this when the user asks about stock prices, market data, or a company",[258,4341,4342],{"class":659},"\\'",[258,4344,4345],{"class":289},"s shares.'",[258,4347,293],{"class":268},[258,4349,4351,4353,4355],{"class":260,"line":4350},37,[258,4352,4148],{"class":268},[258,4354,305],{"class":264},[258,4356,308],{"class":268},[258,4358,4360,4363,4365,4367,4369,4371,4374],{"class":260,"line":4359},38,[258,4361,4362],{"class":268}," symbol: z.",[258,4364,317],{"class":264},[258,4366,1898],{"class":268},[258,4368,4164],{"class":264},[258,4370,1058],{"class":268},[258,4372,4373],{"class":289},"'Stock ticker symbol, e.g. \"AAPL\" or \"TSLA\"'",[258,4375,1609],{"class":268},[258,4377,4379,4382,4384,4386,4388,4390,4393],{"class":260,"line":4378},39,[258,4380,4381],{"class":268}," price: z.",[258,4383,345],{"class":264},[258,4385,1898],{"class":268},[258,4387,4164],{"class":264},[258,4389,1058],{"class":268},[258,4391,4392],{"class":289},"'Current stock price in USD'",[258,4394,1609],{"class":268},[258,4396,4398,4401,4403,4405,4407,4409,4412],{"class":260,"line":4397},40,[258,4399,4400],{"class":268}," change: z.",[258,4402,345],{"class":264},[258,4404,1898],{"class":268},[258,4406,4164],{"class":264},[258,4408,1058],{"class":268},[258,4410,4411],{"class":289},"'Price change today in USD'",[258,4413,1609],{"class":268},[258,4415,4417,4420,4422,4424,4426,4428,4431],{"class":260,"line":4416},41,[258,4418,4419],{"class":268}," changePercent: z.",[258,4421,345],{"class":264},[258,4423,1898],{"class":268},[258,4425,4164],{"class":264},[258,4427,1058],{"class":268},[258,4429,4430],{"class":289},"'Percentage price change today'",[258,4432,1609],{"class":268},[258,4434,4436],{"class":260,"line":4435},42,[258,4437,4249],{"class":268},[258,4439,4441,4443,4445,4447,4449,4451,4453],{"class":260,"line":4440},43,[258,4442,4254],{"class":264},[258,4444,286],{"class":268},[258,4446,366],{"class":365},[258,4448,369],{"class":365},[258,4450,372],{"class":268},[258,4452,376],{"class":375},[258,4454,379],{"class":268},[258,4456,4458,4460,4462,4464,4466,4468,4471],{"class":260,"line":4457},44,[258,4459,4276],{"class":365},[258,4461,401],{"class":268},[258,4463,4281],{"class":659},[258,4465,4284],{"class":264},[258,4467,507],{"class":365},[258,4469,4470],{"class":289},"\"h-32\"",[258,4472,407],{"class":268},[258,4474,4476,4478,4480,4483,4485,4487],{"class":260,"line":4475},45,[258,4477,4301],{"class":365},[258,4479,401],{"class":268},[258,4481,4482],{"class":659},"StockTicker",[258,4484,440],{"class":268},[258,4486,443],{"class":365},[258,4488,4313],{"class":268},[258,4490,4492],{"class":260,"line":4491},46,[258,4493,4319],{"class":268},[258,4495,4497],{"class":260,"line":4496},47,[258,4498,4325],{"class":268},[258,4500,4502],{"class":260,"line":4501},48,[258,4503,454],{"class":268},[258,4505,4507],{"class":260,"line":4506},49,[258,4508,2283],{"class":268},[258,4510,4512],{"class":260,"line":4511},50,[258,4513,414],{"emptyLinePlaceholder":413},[258,4515,4517,4519],{"class":260,"line":4516},51,[258,4518,725],{"class":365},[258,4520,1360],{"class":268},[258,4522,4524],{"class":260,"line":4523},52,[258,4525,466],{"class":268},[16,4527,4528],{},"Τρία πράγματα αξίζει να κατανοήσετε για αυτόν τον κώδικα:",[16,4530,4531,4537,4538,4540,4541,4544],{},[48,4532,4533,4534,4536],{},"Η συνάρτηση ",[65,4535,145],{}," είναι async generator."," Η λέξη-κλειδί ",[65,4539,472],{}," αποστέλλει το skeleton αμέσως — πριν το AI τελειώσει την επίλυση παραμέτρων. Το ",[65,4542,4543],{},"return"," αποστέλλει το τελικό συστατικό. Έτσι λειτουργεί το streaming Generative UI.",[16,4546,4547,4550,4551,4554],{},[48,4548,4549],{},"Οι περιγραφές εργαλείων είναι οδηγίες για το AI."," Τα πεδία ",[65,4552,4553],{},"description"," είναι αυτό που διαβάζει το μοντέλο για να αποφασίσει ποιο εργαλείο θα καλέσει. Γράψτε τα με σαφήνεια, συμπεριλαμβάνοντας πότε το εργαλείο πρέπει και πότε δεν πρέπει να χρησιμοποιείται.",[16,4556,4557,4560],{},[48,4558,4559],{},"Τα σχήματα Zod επιβάλλουν τη σύμβαση."," Το AI δεν μπορεί να περάσει άκυρες παραμέτρους αν ορίσετε αυστηρά σχήματα Zod. Τα σφάλματα επικύρωσης εντοπίζονται πριν αποδοθεί το συστατικό.",[11,4562,4564],{"id":4563},"βήμα-4-κατασκευή-της-διεπαφής","Βήμα 4: Κατασκευή της Διεπαφής",[249,4566,4568],{"className":482,"code":4567,"language":484,"meta":254,"style":254},"\u002F\u002F app\u002Fpage.tsx\n'use client';\n\nimport { useState } from 'react';\nimport { generateUI } from '.\u002Factions';\n\nconst EXAMPLE_PROMPTS = [\n \"What's the weather like in Tokyo?\",\n \"Show me Apple's current stock price\",\n \"Compare the weather in London and New York\",\n \"How is Tesla stock doing?\",\n];\n\nexport default function Home() {\n const [prompt, setPrompt] = useState('');\n const [messages, setMessages] = useState\u003CArray\u003C{ prompt: string; ui: React.ReactNode }>>([]);\n const [loading, setLoading] = useState(false);\n\n async function handleSubmit(e: React.FormEvent) {\n e.preventDefault();\n if (!prompt.trim() || loading) return;\n\n const currentPrompt = prompt;\n setPrompt('');\n setLoading(true);\n\n const ui = await generateUI(currentPrompt);\n setMessages(prev => [...prev, { prompt: currentPrompt, ui }]);\n setLoading(false);\n }\n\n return (\n \u003Cmain className=\"mx-auto max-w-2xl p-8\">\n \u003Ch1 className=\"text-3xl font-bold\">Generative UI Demo\u003C\u002Fh1>\n \u003Cp className=\"mt-2 text-muted-foreground\">\n Ask about weather or stocks — watch the AI generate the right interface.\n \u003C\u002Fp>\n\n {\u002F* Παραδείγματα prompt *\u002F}\n \u003Cdiv className=\"mt-4 flex flex-wrap gap-2\">\n {EXAMPLE_PROMPTS.map(p => (\n \u003Cbutton\n key={p}\n onClick={() => setPrompt(p)}\n className=\"rounded-full border px-3 py-1 text-sm hover:bg-muted\"\n >\n {p}\n \u003C\u002Fbutton>\n ))}\n \u003C\u002Fdiv>\n\n {\u002F* Πεδίο εισαγωγής prompt *\u002F}\n \u003Cform onSubmit={handleSubmit} className=\"mt-6 flex gap-2\">\n \u003Cinput\n value={prompt}\n onChange={e => setPrompt(e.target.value)}\n placeholder=\"Ask anything...\"\n className=\"flex-1 rounded-md border bg-background px-4 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-ring\"\n \u002F>\n \u003Cbutton\n type=\"submit\"\n disabled={loading || !prompt.trim()}\n className=\"rounded-md bg-primary px-4 py-2 text-sm text-primary-foreground disabled:opacity-50\"\n >\n {loading ? 'Generating...' : 'Ask'}\n \u003C\u002Fbutton>\n \u003C\u002Fform>\n\n {\u002F* Έξοδος παραγόμενης διεπαφής *\u002F}\n \u003Cdiv className=\"mt-8 space-y-6\">\n {messages.map((msg, i) => (\n \u003Cdiv key={i}>\n \u003Cp className=\"mb-2 text-sm font-medium text-muted-foreground\">\n \"{msg.prompt}\"\n \u003C\u002Fp>\n {msg.ui}\n \u003C\u002Fdiv>\n ))}\n \u003C\u002Fdiv>\n \u003C\u002Fmain>\n );\n}\n",[65,4569,4570,4575,4582,4586,4600,4614,4618,4630,4637,4644,4651,4658,4663,4667,4681,4707,4757,4782,4786,4808,4817,4842,4846,4858,4869,4879,4883,4899,4918,4928,4932,4936,4942,4958,4978,4993,4998,5006,5010,5020,5035,5055,5063,5073,5091,5101,5106,5111,5121,5126,5134,5138,5147,5173,5181,5192,5211,5222,5233,5239,5246,5257,5280,5290,5296,5314,5323,5332,5337,5347,5363,5388,5402,5419,5425,5435,5441,5450,5455,5464,5473,5478],{"__ignoreMap":254},[258,4571,4572],{"class":260,"line":261},[258,4573,4574],{"class":385},"\u002F\u002F app\u002Fpage.tsx\n",[258,4576,4577,4580],{"class":260,"line":272},[258,4578,4579],{"class":289},"'use client'",[258,4581,950],{"class":268},[258,4583,4584],{"class":260,"line":280},[258,4585,414],{"emptyLinePlaceholder":413},[258,4587,4588,4590,4593,4595,4598],{"class":260,"line":296},[258,4589,938],{"class":365},[258,4591,4592],{"class":268}," { useState } ",[258,4594,944],{"class":365},[258,4596,4597],{"class":289}," 'react'",[258,4599,950],{"class":268},[258,4601,4602,4604,4607,4609,4612],{"class":260,"line":311},[258,4603,938],{"class":365},[258,4605,4606],{"class":268}," { generateUI } ",[258,4608,944],{"class":365},[258,4610,4611],{"class":289}," '.\u002Factions'",[258,4613,950],{"class":268},[258,4615,4616],{"class":260,"line":323},[258,4617,414],{"emptyLinePlaceholder":413},[258,4619,4620,4622,4625,4627],{"class":260,"line":351},[258,4621,1019],{"class":365},[258,4623,4624],{"class":659}," EXAMPLE_PROMPTS",[258,4626,663],{"class":365},[258,4628,4629],{"class":268}," [\n",[258,4631,4632,4635],{"class":260,"line":357},[258,4633,4634],{"class":289}," \"What's the weather like in Tokyo?\"",[258,4636,293],{"class":268},[258,4638,4639,4642],{"class":260,"line":382},[258,4640,4641],{"class":289}," \"Show me Apple's current stock price\"",[258,4643,293],{"class":268},[258,4645,4646,4649],{"class":260,"line":389},[258,4647,4648],{"class":289}," \"Compare the weather in London and New York\"",[258,4650,293],{"class":268},[258,4652,4653,4656],{"class":260,"line":395},[258,4654,4655],{"class":289}," \"How is Tesla stock doing?\"",[258,4657,293],{"class":268},[258,4659,4660],{"class":260,"line":410},[258,4661,4662],{"class":268},"];\n",[258,4664,4665],{"class":260,"line":417},[258,4666,414],{"emptyLinePlaceholder":413},[258,4668,4669,4671,4674,4676,4679],{"class":260,"line":423},[258,4670,1152],{"class":365},[258,4672,4673],{"class":365}," default",[258,4675,1158],{"class":365},[258,4677,4678],{"class":264}," Home",[258,4680,1783],{"class":268},[258,4682,4683,4685,4687,4689,4691,4694,4696,4698,4700,4702,4705],{"class":260,"line":429},[258,4684,656],{"class":365},[258,4686,810],{"class":268},[258,4688,1061],{"class":659},[258,4690,633],{"class":268},[258,4692,4693],{"class":659},"setPrompt",[258,4695,823],{"class":268},[258,4697,507],{"class":365},[258,4699,1804],{"class":264},[258,4701,1058],{"class":268},[258,4703,4704],{"class":289},"''",[258,4706,591],{"class":268},[258,4708,4709,4711,4713,4716,4718,4721,4723,4725,4727,4729,4732,4735,4737,4739,4741,4744,4746,4748,4750,4752,4754],{"class":260,"line":451},[258,4710,656],{"class":365},[258,4712,810],{"class":268},[258,4714,4715],{"class":659},"messages",[258,4717,633],{"class":268},[258,4719,4720],{"class":659},"setMessages",[258,4722,823],{"class":268},[258,4724,507],{"class":365},[258,4726,1804],{"class":264},[258,4728,1033],{"class":268},[258,4730,4731],{"class":264},"Array",[258,4733,4734],{"class":268},"\u003C{ ",[258,4736,1061],{"class":375},[258,4738,973],{"class":365},[258,4740,1066],{"class":659},[258,4742,4743],{"class":268},"; ",[258,4745,1792],{"class":375},[258,4747,973],{"class":365},[258,4749,976],{"class":264},[258,4751,833],{"class":268},[258,4753,981],{"class":264},[258,4755,4756],{"class":268}," }>>([]);\n",[258,4758,4759,4761,4763,4765,4767,4770,4772,4774,4776,4778,4780],{"class":260,"line":457},[258,4760,656],{"class":365},[258,4762,810],{"class":268},[258,4764,1617],{"class":659},[258,4766,633],{"class":268},[258,4768,4769],{"class":659},"setLoading",[258,4771,823],{"class":268},[258,4773,507],{"class":365},[258,4775,1804],{"class":264},[258,4777,1058],{"class":268},[258,4779,2276],{"class":659},[258,4781,591],{"class":268},[258,4783,4784],{"class":260,"line":463},[258,4785,414],{"emptyLinePlaceholder":413},[258,4787,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806],{"class":260,"line":870},[258,4789,1864],{"class":365},[258,4791,1158],{"class":365},[258,4793,2129],{"class":264},[258,4795,1058],{"class":268},[258,4797,2134],{"class":375},[258,4799,973],{"class":365},[258,4801,976],{"class":264},[258,4803,833],{"class":268},[258,4805,2143],{"class":264},[258,4807,379],{"class":268},[258,4809,4810,4813,4815],{"class":260,"line":876},[258,4811,4812],{"class":268}," e.",[258,4814,2153],{"class":264},[258,4816,2156],{"class":268},[258,4818,4819,4821,4823,4825,4828,4831,4833,4835,4838,4840],{"class":260,"line":909},[258,4820,1889],{"class":365},[258,4822,372],{"class":268},[258,4824,2640],{"class":365},[258,4826,4827],{"class":268},"prompt.",[258,4829,4830],{"class":264},"trim",[258,4832,1280],{"class":268},[258,4834,1953],{"class":365},[258,4836,4837],{"class":268}," loading) ",[258,4839,4543],{"class":365},[258,4841,950],{"class":268},[258,4843,4844],{"class":260,"line":1223},[258,4845,414],{"emptyLinePlaceholder":413},[258,4847,4848,4850,4853,4855],{"class":260,"line":1238},[258,4849,2013],{"class":365},[258,4851,4852],{"class":659}," currentPrompt",[258,4854,663],{"class":365},[258,4856,4857],{"class":268}," prompt;\n",[258,4859,4860,4863,4865,4867],{"class":260,"line":1257},[258,4861,4862],{"class":264}," setPrompt",[258,4864,1058],{"class":268},[258,4866,4704],{"class":289},[258,4868,591],{"class":268},[258,4870,4871,4873,4875,4877],{"class":260,"line":1262},[258,4872,2271],{"class":264},[258,4874,1058],{"class":268},[258,4876,2237],{"class":659},[258,4878,591],{"class":268},[258,4880,4881],{"class":260,"line":1294},[258,4882,414],{"emptyLinePlaceholder":413},[258,4884,4885,4887,4890,4892,4894,4896],{"class":260,"line":1303},[258,4886,2013],{"class":365},[258,4888,4889],{"class":659}," ui",[258,4891,663],{"class":365},[258,4893,666],{"class":365},[258,4895,2022],{"class":264},[258,4897,4898],{"class":268},"(currentPrompt);\n",[258,4900,4901,4904,4906,4909,4911,4913,4915],{"class":260,"line":1309},[258,4902,4903],{"class":264}," setMessages",[258,4905,1058],{"class":268},[258,4907,4908],{"class":375},"prev",[258,4910,2257],{"class":365},[258,4912,810],{"class":268},[258,4914,443],{"class":365},[258,4916,4917],{"class":268},"prev, { prompt: currentPrompt, ui }]);\n",[258,4919,4920,4922,4924,4926],{"class":260,"line":1314},[258,4921,2271],{"class":264},[258,4923,1058],{"class":268},[258,4925,2276],{"class":659},[258,4927,591],{"class":268},[258,4929,4930],{"class":260,"line":1338},[258,4931,1306],{"class":268},[258,4933,4934],{"class":260,"line":1355},[258,4935,414],{"emptyLinePlaceholder":413},[258,4937,4938,4940],{"class":260,"line":1363},[258,4939,725],{"class":365},[258,4941,528],{"class":268},[258,4943,4944,4946,4949,4951,4953,4956],{"class":260,"line":4316},[258,4945,550],{"class":268},[258,4947,4948],{"class":500},"main",[258,4950,504],{"class":264},[258,4952,507],{"class":365},[258,4954,4955],{"class":289},"\"mx-auto max-w-2xl p-8\"",[258,4957,545],{"class":268},[258,4959,4960,4962,4965,4967,4969,4971,4974,4976],{"class":260,"line":4322},[258,4961,3316],{"class":268},[258,4963,4964],{"class":500},"h1",[258,4966,504],{"class":264},[258,4968,507],{"class":365},[258,4970,3764],{"class":289},[258,4972,4973],{"class":268},">Generative UI Demo\u003C\u002F",[258,4975,4964],{"class":500},[258,4977,545],{"class":268},[258,4979,4980,4982,4984,4986,4988,4991],{"class":260,"line":4328},[258,4981,3316],{"class":268},[258,4983,16],{"class":500},[258,4985,504],{"class":264},[258,4987,507],{"class":365},[258,4989,4990],{"class":289},"\"mt-2 text-muted-foreground\"",[258,4992,545],{"class":268},[258,4994,4995],{"class":260,"line":4334},[258,4996,4997],{"class":268}," Ask about weather or stocks — watch the AI generate the right interface.\n",[258,4999,5000,5002,5004],{"class":260,"line":4350},[258,5001,3394],{"class":268},[258,5003,16],{"class":500},[258,5005,545],{"class":268},[258,5007,5008],{"class":260,"line":4359},[258,5009,414],{"emptyLinePlaceholder":413},[258,5011,5012,5015,5018],{"class":260,"line":4378},[258,5013,5014],{"class":268}," {",[258,5016,5017],{"class":385},"\u002F* Παραδείγματα prompt *\u002F",[258,5019,466],{"class":268},[258,5021,5022,5024,5026,5028,5030,5033],{"class":260,"line":4397},[258,5023,3316],{"class":268},[258,5025,501],{"class":500},[258,5027,504],{"class":264},[258,5029,507],{"class":365},[258,5031,5032],{"class":289},"\"mt-4 flex flex-wrap gap-2\"",[258,5034,545],{"class":268},[258,5036,5037,5040,5043,5045,5047,5049,5051,5053],{"class":260,"line":4416},[258,5038,5039],{"class":268}," {",[258,5041,5042],{"class":659},"EXAMPLE_PROMPTS",[258,5044,833],{"class":268},[258,5046,2458],{"class":264},[258,5048,1058],{"class":268},[258,5050,16],{"class":375},[258,5052,2257],{"class":365},[258,5054,528],{"class":268},[258,5056,5057,5060],{"class":260,"line":4435},[258,5058,5059],{"class":268}," \u003C",[258,5061,5062],{"class":500},"button\n",[258,5064,5065,5068,5070],{"class":260,"line":4440},[258,5066,5067],{"class":264}," key",[258,5069,507],{"class":365},[258,5071,5072],{"class":268},"{p}\n",[258,5074,5075,5078,5080,5083,5085,5088],{"class":260,"line":4457},[258,5076,5077],{"class":264}," onClick",[258,5079,507],{"class":365},[258,5081,5082],{"class":268},"{() ",[258,5084,1598],{"class":365},[258,5086,5087],{"class":264}," setPrompt",[258,5089,5090],{"class":268},"(p)}\n",[258,5092,5093,5096,5098],{"class":260,"line":4475},[258,5094,5095],{"class":264}," className",[258,5097,507],{"class":365},[258,5099,5100],{"class":289},"\"rounded-full border px-3 py-1 text-sm hover:bg-muted\"\n",[258,5102,5103],{"class":260,"line":4491},[258,5104,5105],{"class":268}," >\n",[258,5107,5108],{"class":260,"line":4496},[258,5109,5110],{"class":268}," {p}\n",[258,5112,5113,5116,5119],{"class":260,"line":4501},[258,5114,5115],{"class":268}," \u003C\u002F",[258,5117,5118],{"class":500},"button",[258,5120,545],{"class":268},[258,5122,5123],{"class":260,"line":4506},[258,5124,5125],{"class":268}," ))}\n",[258,5127,5128,5130,5132],{"class":260,"line":4511},[258,5129,3394],{"class":268},[258,5131,501],{"class":500},[258,5133,545],{"class":268},[258,5135,5136],{"class":260,"line":4516},[258,5137,414],{"emptyLinePlaceholder":413},[258,5139,5140,5142,5145],{"class":260,"line":4523},[258,5141,5014],{"class":268},[258,5143,5144],{"class":385},"\u002F* Πεδίο εισαγωγής prompt *\u002F",[258,5146,466],{"class":268},[258,5148,5150,5152,5155,5158,5160,5163,5166,5168,5171],{"class":260,"line":5149},53,[258,5151,3316],{"class":268},[258,5153,5154],{"class":500},"form",[258,5156,5157],{"class":264}," onSubmit",[258,5159,507],{"class":365},[258,5161,5162],{"class":268},"{handleSubmit} ",[258,5164,5165],{"class":264},"className",[258,5167,507],{"class":365},[258,5169,5170],{"class":289},"\"mt-6 flex gap-2\"",[258,5172,545],{"class":268},[258,5174,5176,5178],{"class":260,"line":5175},54,[258,5177,3353],{"class":268},[258,5179,5180],{"class":500},"input\n",[258,5182,5184,5187,5189],{"class":260,"line":5183},55,[258,5185,5186],{"class":264}," value",[258,5188,507],{"class":365},[258,5190,5191],{"class":268},"{prompt}\n",[258,5193,5195,5198,5200,5202,5204,5206,5208],{"class":260,"line":5194},56,[258,5196,5197],{"class":264}," onChange",[258,5199,507],{"class":365},[258,5201,3693],{"class":268},[258,5203,2134],{"class":375},[258,5205,2257],{"class":365},[258,5207,5087],{"class":264},[258,5209,5210],{"class":268},"(e.target.value)}\n",[258,5212,5214,5217,5219],{"class":260,"line":5213},57,[258,5215,5216],{"class":264}," placeholder",[258,5218,507],{"class":365},[258,5220,5221],{"class":289},"\"Ask anything...\"\n",[258,5223,5225,5228,5230],{"class":260,"line":5224},58,[258,5226,5227],{"class":264}," className",[258,5229,507],{"class":365},[258,5231,5232],{"class":289},"\"flex-1 rounded-md border bg-background px-4 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-ring\"\n",[258,5234,5236],{"class":260,"line":5235},59,[258,5237,5238],{"class":268}," \u002F>\n",[258,5240,5242,5244],{"class":260,"line":5241},60,[258,5243,3353],{"class":268},[258,5245,5062],{"class":500},[258,5247,5249,5252,5254],{"class":260,"line":5248},61,[258,5250,5251],{"class":264}," type",[258,5253,507],{"class":365},[258,5255,5256],{"class":289},"\"submit\"\n",[258,5258,5260,5263,5265,5268,5270,5273,5275,5277],{"class":260,"line":5259},62,[258,5261,5262],{"class":264}," disabled",[258,5264,507],{"class":365},[258,5266,5267],{"class":268},"{loading ",[258,5269,1953],{"class":365},[258,5271,5272],{"class":365}," !",[258,5274,4827],{"class":268},[258,5276,4830],{"class":264},[258,5278,5279],{"class":268},"()}\n",[258,5281,5283,5285,5287],{"class":260,"line":5282},63,[258,5284,5227],{"class":264},[258,5286,507],{"class":365},[258,5288,5289],{"class":289},"\"rounded-md bg-primary px-4 py-2 text-sm text-primary-foreground disabled:opacity-50\"\n",[258,5291,5293],{"class":260,"line":5292},64,[258,5294,5295],{"class":268}," >\n",[258,5297,5299,5302,5304,5307,5309,5312],{"class":260,"line":5298},65,[258,5300,5301],{"class":268}," {loading ",[258,5303,3587],{"class":365},[258,5305,5306],{"class":289}," 'Generating...'",[258,5308,3593],{"class":365},[258,5310,5311],{"class":289}," 'Ask'",[258,5313,466],{"class":268},[258,5315,5317,5319,5321],{"class":260,"line":5316},66,[258,5318,3725],{"class":268},[258,5320,5118],{"class":500},[258,5322,545],{"class":268},[258,5324,5326,5328,5330],{"class":260,"line":5325},67,[258,5327,3394],{"class":268},[258,5329,5154],{"class":500},[258,5331,545],{"class":268},[258,5333,5335],{"class":260,"line":5334},68,[258,5336,414],{"emptyLinePlaceholder":413},[258,5338,5340,5342,5345],{"class":260,"line":5339},69,[258,5341,5014],{"class":268},[258,5343,5344],{"class":385},"\u002F* Έξοδος παραγόμενης διεπαφής *\u002F",[258,5346,466],{"class":268},[258,5348,5350,5352,5354,5356,5358,5361],{"class":260,"line":5349},70,[258,5351,3316],{"class":268},[258,5353,501],{"class":500},[258,5355,504],{"class":264},[258,5357,507],{"class":365},[258,5359,5360],{"class":289},"\"mt-8 space-y-6\"",[258,5362,545],{"class":268},[258,5364,5366,5369,5371,5374,5377,5379,5382,5384,5386],{"class":260,"line":5365},71,[258,5367,5368],{"class":268}," {messages.",[258,5370,2458],{"class":264},[258,5372,5373],{"class":268},"((",[258,5375,5376],{"class":375},"msg",[258,5378,633],{"class":268},[258,5380,5381],{"class":375},"i",[258,5383,1950],{"class":268},[258,5385,1598],{"class":365},[258,5387,528],{"class":268},[258,5389,5391,5393,5395,5397,5399],{"class":260,"line":5390},72,[258,5392,5059],{"class":268},[258,5394,501],{"class":500},[258,5396,1228],{"class":264},[258,5398,507],{"class":365},[258,5400,5401],{"class":268},"{i}>\n",[258,5403,5405,5408,5410,5412,5414,5417],{"class":260,"line":5404},73,[258,5406,5407],{"class":268}," \u003C",[258,5409,16],{"class":500},[258,5411,504],{"class":264},[258,5413,507],{"class":365},[258,5415,5416],{"class":289},"\"mb-2 text-sm font-medium text-muted-foreground\"",[258,5418,545],{"class":268},[258,5420,5422],{"class":260,"line":5421},74,[258,5423,5424],{"class":268}," \"{msg.prompt}\"\n",[258,5426,5428,5431,5433],{"class":260,"line":5427},75,[258,5429,5430],{"class":268}," \u003C\u002F",[258,5432,16],{"class":500},[258,5434,545],{"class":268},[258,5436,5438],{"class":260,"line":5437},76,[258,5439,5440],{"class":268}," {msg.ui}\n",[258,5442,5444,5446,5448],{"class":260,"line":5443},77,[258,5445,5115],{"class":268},[258,5447,501],{"class":500},[258,5449,545],{"class":268},[258,5451,5453],{"class":260,"line":5452},78,[258,5454,5125],{"class":268},[258,5456,5458,5460,5462],{"class":260,"line":5457},79,[258,5459,3394],{"class":268},[258,5461,501],{"class":500},[258,5463,545],{"class":268},[258,5465,5467,5469,5471],{"class":260,"line":5466},80,[258,5468,3431],{"class":268},[258,5470,4948],{"class":500},[258,5472,545],{"class":268},[258,5474,5476],{"class":260,"line":5475},81,[258,5477,3440],{"class":268},[258,5479,5481],{"class":260,"line":5480},82,[258,5482,466],{"class":268},[11,5484,5486],{"id":5485},"βήμα-5-εκτέλεση-και-δοκιμή","Βήμα 5: Εκτέλεση και Δοκιμή",[249,5488,5490],{"className":3102,"code":5489,"language":3104,"meta":254,"style":254},"npm run dev\n",[65,5491,5492],{"__ignoreMap":254},[258,5493,5494,5496,5499],{"class":260,"line":261},[258,5495,3111],{"class":264},[258,5497,5498],{"class":289}," run",[258,5500,5501],{"class":289}," dev\n",[16,5503,5504],{},"Δοκιμάστε αυτά τα prompts με τη σειρά για να δείτε διαφορετικές συμπεριφορές:",[2939,5506,5507,5513,5519,5529],{},[45,5508,5509,5512],{},[48,5510,5511],{},"«What's the weather in Paris?»"," — μονή WeatherCard",[45,5514,5515,5518],{},[48,5516,5517],{},"«Show me Apple stock»"," — μονό StockTicker",[45,5520,5521,5524,5525,5528],{},[48,5522,5523],{},"«Compare the weather in London and New York»"," — το AI καλεί ",[65,5526,5527],{},"showWeather"," δύο φορές, παράγοντας δύο κάρτες δίπλα-δίπλα",[45,5530,5531,5534],{},[48,5532,5533],{},"«How's Tesla doing and what's the weather in San Francisco?»"," — το AI καλεί και τα δύο εργαλεία, παράγοντας μικτούς τύπους συστατικών",[16,5536,5537],{},"Το τρίτο prompt είναι η βασική επίδειξη: χωρίς επιπλέον κώδικα, το μοντέλο συνθέτει πολλαπλά συστατικά για να απαντήσει σε μια πολυμερή ερώτηση.",[11,5539,5541],{"id":5540},"τι-συμβαίνει-κάτω-από-την-επιφάνεια","Τι Συμβαίνει Κάτω από την Επιφάνεια",[16,5543,5544],{},"Όταν υποβάλλετε ένα prompt:",[42,5546,5547,5553,5559,5562,5567,5570],{},[45,5548,5549,5550],{},"Ο client καλεί το server action ",[65,5551,5552],{},"generateUI",[45,5554,5555,5556,5558],{},"Το ",[65,5557,127],{}," αποστέλλει το prompt + ορισμούς εργαλείων στο OpenAI API",[45,5560,5561],{},"Το μοντέλο επιλέγει ποια εργαλεία θα καλέσει και με ποιες παραμέτρους",[45,5563,4533,5564,5566],{},[65,5565,145],{}," κάθε εργαλείου αποδίδει αμέσως ένα skeleton",[45,5568,5569],{},"Το AI τελειώνει την επίλυση παραμέτρων, και επιστρέφεται το τελικό συστατικό",[45,5571,5572],{},"Το React αποδίδει το συστατικό στη θέση του skeleton",[16,5574,5575],{},"Το πρωτόκολλο streaming RSC είναι αυτό που κάνει αυτό να λειτουργεί. Ο server σειριοποιεί δέντρα συστατικών React και τα μεταδίδει στον client σταδιακά. Αυτό διαφέρει από ένα JSON API — ο client λαμβάνει αποδοθέντα συστατικά, όχι ακατέργαστα δεδομένα.",[11,5577,5579],{"id":5578},"διαχείριση-σφαλμάτων","Διαχείριση Σφαλμάτων",[16,5581,5582],{},"Τα παραγόμενα συστατικά μπορεί να αποτύχουν με τρόπους που τα χειροκίνητα συστατικά δεν αποτυγχάνουν. Περιτυλίξτε την παραγόμενη έξοδο σε ένα error boundary:",[249,5584,5586],{"className":482,"code":5585,"language":484,"meta":254,"style":254},"\u002F\u002F components\u002Fgenui-error-boundary.tsx\n'use client';\n\nimport { Component, ReactNode } from 'react';\n\ninterface Props { children: ReactNode }\ninterface State { hasError: boolean; error: Error | null }\n\nexport class GenUIErrorBoundary extends Component\u003CProps, State> {\n constructor(props: Props) {\n super(props);\n this.state = { hasError: false, error: null };\n }\n\n static getDerivedStateFromError(error: Error) {\n return { hasError: true, error };\n }\n\n render() {\n if (this.state.hasError) {\n return (\n \u003Cdiv className=\"rounded-lg border border-destructive\u002F50 bg-destructive\u002F5 p-4\">\n \u003Cp className=\"text-sm text-destructive\">\n This component could not render. The AI may have passed unexpected data.\n \u003C\u002Fp>\n \u003C\u002Fdiv>\n );\n }\n return this.props.children;\n }\n}\n",[65,5587,5588,5593,5599,5603,5616,5620,5640,5675,5679,5708,5724,5732,5755,5759,5763,5781,5792,5796,5800,5807,5819,5825,5840,5855,5860,5868,5876,5881,5885,5895,5899],{"__ignoreMap":254},[258,5589,5590],{"class":260,"line":261},[258,5591,5592],{"class":385},"\u002F\u002F components\u002Fgenui-error-boundary.tsx\n",[258,5594,5595,5597],{"class":260,"line":272},[258,5596,4579],{"class":289},[258,5598,950],{"class":268},[258,5600,5601],{"class":260,"line":280},[258,5602,414],{"emptyLinePlaceholder":413},[258,5604,5605,5607,5610,5612,5614],{"class":260,"line":296},[258,5606,938],{"class":365},[258,5608,5609],{"class":268}," { Component, ReactNode } ",[258,5611,944],{"class":365},[258,5613,4597],{"class":289},[258,5615,950],{"class":268},[258,5617,5618],{"class":260,"line":311},[258,5619,414],{"emptyLinePlaceholder":413},[258,5621,5622,5624,5627,5629,5632,5634,5637],{"class":260,"line":323},[258,5623,959],{"class":365},[258,5625,5626],{"class":264}," Props",[258,5628,3883],{"class":268},[258,5630,5631],{"class":375},"children",[258,5633,973],{"class":365},[258,5635,5636],{"class":264}," ReactNode",[258,5638,5639],{"class":268}," }\n",[258,5641,5642,5644,5647,5649,5652,5654,5657,5659,5662,5664,5667,5670,5673],{"class":260,"line":351},[258,5643,959],{"class":365},[258,5645,5646],{"class":264}," State",[258,5648,3883],{"class":268},[258,5650,5651],{"class":375},"hasError",[258,5653,973],{"class":365},[258,5655,5656],{"class":659}," boolean",[258,5658,4743],{"class":268},[258,5660,5661],{"class":375},"error",[258,5663,973],{"class":365},[258,5665,5666],{"class":264}," Error",[258,5668,5669],{"class":365}," |",[258,5671,5672],{"class":659}," null",[258,5674,5639],{"class":268},[258,5676,5677],{"class":260,"line":357},[258,5678,414],{"emptyLinePlaceholder":413},[258,5680,5681,5683,5686,5689,5692,5695,5697,5700,5702,5705],{"class":260,"line":382},[258,5682,1152],{"class":365},[258,5684,5685],{"class":365}," class",[258,5687,5688],{"class":264}," GenUIErrorBoundary",[258,5690,5691],{"class":365}," extends",[258,5693,5694],{"class":264}," Component",[258,5696,1033],{"class":268},[258,5698,5699],{"class":264},"Props",[258,5701,633],{"class":268},[258,5703,5704],{"class":264},"State",[258,5706,5707],{"class":268},"> {\n",[258,5709,5710,5713,5715,5718,5720,5722],{"class":260,"line":389},[258,5711,5712],{"class":365}," constructor",[258,5714,1058],{"class":268},[258,5716,5717],{"class":375},"props",[258,5719,973],{"class":365},[258,5721,5626],{"class":264},[258,5723,379],{"class":268},[258,5725,5726,5729],{"class":260,"line":395},[258,5727,5728],{"class":659}," super",[258,5730,5731],{"class":268},"(props);\n",[258,5733,5734,5737,5740,5742,5745,5747,5750,5752],{"class":260,"line":410},[258,5735,5736],{"class":659}," this",[258,5738,5739],{"class":268},".state ",[258,5741,507],{"class":365},[258,5743,5744],{"class":268}," { hasError: ",[258,5746,2276],{"class":659},[258,5748,5749],{"class":268},", error: ",[258,5751,1819],{"class":659},[258,5753,5754],{"class":268}," };\n",[258,5756,5757],{"class":260,"line":417},[258,5758,1306],{"class":268},[258,5760,5761],{"class":260,"line":423},[258,5762,414],{"emptyLinePlaceholder":413},[258,5764,5765,5768,5771,5773,5775,5777,5779],{"class":260,"line":429},[258,5766,5767],{"class":365}," static",[258,5769,5770],{"class":264}," getDerivedStateFromError",[258,5772,1058],{"class":268},[258,5774,5661],{"class":375},[258,5776,973],{"class":365},[258,5778,5666],{"class":264},[258,5780,379],{"class":268},[258,5782,5783,5785,5787,5789],{"class":260,"line":451},[258,5784,1297],{"class":365},[258,5786,5744],{"class":268},[258,5788,2237],{"class":659},[258,5790,5791],{"class":268},", error };\n",[258,5793,5794],{"class":260,"line":457},[258,5795,1306],{"class":268},[258,5797,5798],{"class":260,"line":463},[258,5799,414],{"emptyLinePlaceholder":413},[258,5801,5802,5805],{"class":260,"line":870},[258,5803,5804],{"class":264}," render",[258,5806,1783],{"class":268},[258,5808,5809,5811,5813,5816],{"class":260,"line":876},[258,5810,1889],{"class":365},[258,5812,372],{"class":268},[258,5814,5815],{"class":659},"this",[258,5817,5818],{"class":268},".state.hasError) {\n",[258,5820,5821,5823],{"class":260,"line":909},[258,5822,432],{"class":365},[258,5824,528],{"class":268},[258,5826,5827,5829,5831,5833,5835,5838],{"class":260,"line":1223},[258,5828,3353],{"class":268},[258,5830,501],{"class":500},[258,5832,504],{"class":264},[258,5834,507],{"class":365},[258,5836,5837],{"class":289},"\"rounded-lg border border-destructive\u002F50 bg-destructive\u002F5 p-4\"",[258,5839,545],{"class":268},[258,5841,5842,5844,5846,5848,5850,5853],{"class":260,"line":1238},[258,5843,5059],{"class":268},[258,5845,16],{"class":500},[258,5847,504],{"class":264},[258,5849,507],{"class":365},[258,5851,5852],{"class":289},"\"text-sm text-destructive\"",[258,5854,545],{"class":268},[258,5856,5857],{"class":260,"line":1257},[258,5858,5859],{"class":268}," This component could not render. The AI may have passed unexpected data.\n",[258,5861,5862,5864,5866],{"class":260,"line":1262},[258,5863,5115],{"class":268},[258,5865,16],{"class":500},[258,5867,545],{"class":268},[258,5869,5870,5872,5874],{"class":260,"line":1294},[258,5871,3725],{"class":268},[258,5873,501],{"class":500},[258,5875,545],{"class":268},[258,5877,5878],{"class":260,"line":1303},[258,5879,5880],{"class":268}," );\n",[258,5882,5883],{"class":260,"line":1309},[258,5884,2004],{"class":268},[258,5886,5887,5889,5892],{"class":260,"line":1314},[258,5888,1297],{"class":365},[258,5890,5891],{"class":659}," this",[258,5893,5894],{"class":268},".props.children;\n",[258,5896,5897],{"class":260,"line":1338},[258,5898,1306],{"class":268},[258,5900,5901],{"class":260,"line":1355},[258,5902,466],{"class":268},[16,5904,5905],{},"Περιτυλίξτε το στη σελίδα σας γύρω από την παραγόμενη έξοδο διεπαφής.",[11,5907,5909],{"id":5908},"συμβουλές-ανάπτυξης","Συμβουλές Ανάπτυξης",[16,5911,5912,5915,5916,5918],{},[48,5913,5914],{},"Μεταβλητές περιβάλλοντος:"," Το ",[65,5917,3169],{}," πρέπει να είναι διαθέσιμο στο περιβάλλον παραγωγής σας. Στο Vercel, προσθέστε το στις ρυθμίσεις του έργου στην ενότητα Environment Variables.",[16,5920,5921,5924,5925,5927,5928,5931],{},[48,5922,5923],{},"Edge runtime:"," Η συνάρτηση ",[65,5926,127],{}," λειτουργεί σε Edge runtime, που μειώνει σημαντικά τους χρόνους cold start. Προσθέστε ",[65,5929,5930],{},"export const runtime = 'edge'"," στο αρχείο server action σας.",[16,5933,5934,5937,5938,5940,5941,5944],{},[48,5935,5936],{},"Περιορισμός ρυθμού:"," Χωρίς περιορισμό ρυθμού, ένας χρήστης θα μπορούσε να παράγει χιλιάδες αιτήματα AI. Προσθέστε έναν rate limiter πριν από την κλήση ",[65,5939,127],{},". Το πακέτο ",[65,5942,5943],{},"@upstash\u002Fratelimit"," ενσωματώνεται καλά με το Next.js.",[16,5946,5947,5915,5950,5953,5954,5957,5958,5963],{},[48,5948,5949],{},"Επιλογή μοντέλου:",[65,5951,5952],{},"gpt-4o"," παράγει τις καλύτερες επιλογές συστατικών αλλά κοστίζει περισσότερο. Το ",[65,5955,5956],{},"gpt-4o-mini"," είναι περίπου 15× φθηνότερο (",[2965,5959,5962],{"href":5960,"rel":5961},"https:\u002F\u002Fopenai.com\u002Fapi\u002Fpricing",[3094],"openai.com\u002Fapi\u002Fpricing",", 2026-05) και λειτουργεί καλά για απλά σύνολα συστατικών. Δοκίμασε και τα δύο με τους συγκεκριμένους ορισμούς εργαλείων σου.",[16,5965,5966,5969],{},[48,5967,5968],{},"Μεθοδολογία υπολογισμού TCO:"," τα νούμερα υπολογίζονται με παραδοχές: μέσο prompt ~800 input + ~300 output tokens στο gpt-4o (ή ~$0,001 στο gpt-4o-mini), 1 αίτημα\u002Fsession, τιμές OpenAI για 2026-05, MAU ≈ DAU × 30%. Βαθμονόμησε με βάση το δικό σου workload.",[11,5971,5973],{"id":5972},"επόμενα-βήματα","Επόμενα Βήματα",[16,5975,5976],{},"Αυτός ο οδηγός κάλυψε τα θεμελιώδη. Για Generative UI παραγωγής:",[2939,5978,5979,5985,5991,5997,6003],{},[45,5980,5981,5984],{},[48,5982,5983],{},"Προσθέστε περισσότερα εργαλεία"," — κάθε νέο συστατικό που προσθέτετε στο registry επεκτείνει αυτό που μπορεί να απαντήσει το AI",[45,5986,5987,5990],{},[48,5988,5989],{},"Υλοποιήστε caching αποτελεσμάτων εργαλείων"," — αποθηκεύστε στην κρυφή μνήμη συνηθισμένα ερωτήματα για μείωση καθυστέρησης και κόστους",[45,5992,5993,5996],{},[48,5994,5995],{},"Προσθέστε streaming κείμενο"," παράλληλα με συστατικά διεπαφής ώστε το AI να μπορεί να εξηγεί τι εμφανίζει",[45,5998,5999,6002],{},[48,6000,6001],{},"Χρησιμοποιήστε structured outputs"," για πιο αξιόπιστη παραγωγή παραμέτρων",[45,6004,6005,6008],{},[48,6006,6007],{},"Ρυθμίστε observability"," — καταγράψτε κάθε κλήση εργαλείου, τις παραμέτρους της και τις αλληλεπιδράσεις χρήστη",[16,6010,6011],{},"Η τεκμηρίωση του Vercel AI SDK καλύπτει όλα αυτά τα μοτίβα σε βάθος, και το αποθετήριο παραδειγμάτων διαθέτει αξιόλογα πρότυπα production-grade για μελέτη.",[2957,6013],{},[11,6015,6017],{"id":6016},"σε-ai-sdk-v5v6","Σε AI SDK v5\u002Fv6",[16,6019,6020],{},"Αν χρησιμοποιείς νεότερες εκδόσεις SDK, οι βασικές διαφορές από τον κώδικα αυτού του άρθρου:",[2939,6022,6023,6031,6041],{},[45,6024,6025,6027,6028],{},[65,6026,3129],{}," στον ορισμό εργαλείου → ",[65,6029,6030],{},"inputSchema:",[45,6032,6033,6034,6037,6038],{},"Import ",[65,6035,6036],{},"import { streamUI } from 'ai\u002Frsc'"," → ",[65,6039,6040],{},"import { streamUI } from '@ai-sdk\u002Frsc'",[45,6042,6043,6044,2555],{},"Το RSC παραμένει επισημασμένο ως experimental από τη Vercel — για production συνιστάται το AI SDK UI (",[65,6045,3079],{},[2957,6047],{},[16,6049,6050],{},[20,6051,6052,6053,6056],{},"Θέλεις να υλοποιήσεις Generative UI στο προϊόν σου; ",[2965,6054,6055],{"href":2967},"Ας συζητήσουμε την περίπτωσή σου"," — από την εμπειρία μας σε consulting, το GenUI stack ταιριάζει καλά σε dashboards και εσωτερικά εργαλεία· για regulated surfaces και δημόσιες σελίδες με υψηλή κίνηση τα trade-offs συνήθως δεν κλείνουν.",[2971,6058,6059],{},"html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .s9eBZ, html code.shiki .s9eBZ{--shiki-default:#22863A;--shiki-dark:#85E89D}",{"title":254,"searchDepth":272,"depth":272,"links":6061},[6062,6063,6064,6065,6066,6067,6068,6069,6070,6071,6072,6073],{"id":3018,"depth":272,"text":3019},{"id":3045,"depth":272,"text":3046},{"id":3098,"depth":272,"text":3099},{"id":3177,"depth":272,"text":3178},{"id":3932,"depth":272,"text":3933},{"id":4563,"depth":272,"text":4564},{"id":5485,"depth":272,"text":5486},{"id":5540,"depth":272,"text":5541},{"id":5578,"depth":272,"text":5579},{"id":5908,"depth":272,"text":5909},{"id":5972,"depth":272,"text":5973},{"id":6016,"depth":272,"text":6017},"tutorial","2026-02-28","Βήμα-βήμα οδηγός για τη δημιουργία της πρώτης σας AI-powered διεπαφής με streaming συστατικά.",{"audit_status":6078,"audit_date":2999,"sdk_version":6079,"last_price_check":2999},"ship-with-revisions-applied-v2","ai@4 (v4-pin)","\u002Fel\u002Flearn\u002Fbuilding-generative-ui-vercel-ai-sdk","18 λεπτά ανάγνωσης",{"title":3013,"description":6076},"el\u002Flearn\u002Fbuilding-generative-ui-vercel-ai-sdk",[6085,6086,6074,3007],"vercel-ai-sdk","react","DJ-MuHFk_go8jfrjMKh5jt8sOVQMoUOmlC4Zo3UCJHc",{"id":6089,"title":6090,"author":6,"body":6091,"category":7408,"date":7409,"description":7410,"draft":2995,"extension":2996,"featured":2995,"meta":7411,"navigation":413,"path":7412,"readTime":7413,"seo":7414,"stem":7415,"tags":7416,"__hash__":7421},"content\u002Fel\u002Flearn\u002Fcopilotkit-vs-vercel-ai-sdk-vs-thesys.md","CopilotKit vs Vercel AI SDK vs Thesys: Σύγκριση Frameworks",{"type":8,"value":6092,"toc":7384},[6093,6097,6100,6103,6107,6250,6254,6259,6263,6266,6436,6445,6449,6483,6487,6515,6519,6522,6524,6528,6535,6538,6541,6894,6897,6900,6943,6946,6972,6976,6979,6981,6985,6988,6991,6994,7215,7218,7221,7253,7256,7282,7286,7289,7291,7295,7298,7303,7314,7319,7330,7333,7337,7343,7349,7355,7361,7367,7370,7372,7381],[11,6094,6096],{"id":6095},"το-τοπίο-στις-αρχές-του-2026","Το Τοπίο στις Αρχές του 2026",[16,6098,6099],{},"Τρία frameworks κυριαρχούν στον χώρο του Generative UI αυτή τη στιγμή. Το καθένα ακολουθεί θεμελιωδώς διαφορετική προσέγγιση στο ίδιο πρόβλημα: πώς επιτρέπετε στα μοντέλα AI να παράγουν διαδραστικές διεπαφές χρήστη;",[16,6101,6102],{},"Αυτά είναι τα ευρήματά μου μετά από κατασκευή λειτουργιών παραγωγής και με τα τρία.",[11,6104,6106],{"id":6105},"γρήγορη-σύγκριση","Γρήγορη Σύγκριση",[80,6108,6109,6125],{},[83,6110,6111],{},[86,6112,6113,6116,6119,6122],{},[89,6114,6115],{},"Χαρακτηριστικό",[89,6117,6118],{},"Vercel AI SDK",[89,6120,6121],{},"CopilotKit",[89,6123,6124],{},"Thesys (json-render)",[105,6126,6127,6141,6155,6169,6183,6197,6209,6223,6236],{},[86,6128,6129,6132,6135,6138],{},[110,6130,6131],{},"Αστέρια GitHub",[110,6133,6134],{},"~45K",[110,6136,6137],{},"22K",[110,6139,6140],{},"13K (3 μηνών)",[86,6142,6143,6146,6149,6152],{},[110,6144,6145],{},"Λήψεις npm",[110,6147,6148],{},"20M+\u002Fμήνα",[110,6150,6151],{},"~200K\u002Fμήνα",[110,6153,6154],{},"~50K\u002Fμήνα",[86,6156,6157,6160,6163,6166],{},[110,6158,6159],{},"Προσέγγιση",[110,6161,6162],{},"Stream React μέσω RSC",[110,6164,6165],{},"Συστατικά μοτίβου Copilot",[110,6167,6168],{},"Απόδοση σχήματος JSON",[86,6170,6171,6174,6177,6180],{},[110,6172,6173],{},"Εξάρτηση framework",[110,6175,6176],{},"Next.js (κυρίως)",[110,6178,6179],{},"React (οποιοδήποτε bundler)",[110,6181,6182],{},"Αγνωστικό ως προς το framework",[86,6184,6185,6188,6191,6194],{},[110,6186,6187],{},"Καμπύλη εκμάθησης",[110,6189,6190],{},"Μέτρια",[110,6192,6193],{},"Χαμηλή",[110,6195,6196],{},"Χαμηλή–Μέτρια",[86,6198,6199,6202,6205,6207],{},[110,6200,6201],{},"Ετοιμότητα παραγωγής",[110,6203,6204],{},"Υψηλή",[110,6206,6204],{},[110,6208,6190],{},[86,6210,6211,6214,6217,6220],{},[110,6212,6213],{},"Κατάλληλο για",[110,6215,6216],{},"Full-stack Next.js εφαρμογές",[110,6218,6219],{},"Προσθήκη AI σε υπάρχουσες εφαρμογές",[110,6221,6222],{},"Έργα με πολλαπλά frameworks",[86,6224,6225,6228,6231,6234],{},[110,6226,6227],{},"Άδεια",[110,6229,6230],{},"Apache 2.0",[110,6232,6233],{},"MIT",[110,6235,6233],{},[86,6237,6238,6241,6244,6247],{},[110,6239,6240],{},"Επιλογή διαχειριζόμενης φιλοξενίας",[110,6242,6243],{},"Vercel",[110,6245,6246],{},"CopilotKit Cloud",[110,6248,6249],{},"Thesys Cloud",[11,6251,6253],{"id":6252},"vercel-ai-sdk-η-επιλογή-full-stack","Vercel AI SDK: Η Επιλογή Full-Stack",[16,6255,4533,6256,6258],{},[65,6257,127],{}," του Vercel AI SDK είναι η πιο ισχυρή προσέγγιση — και η πιο «γνωμοδοτική». Μεταδίδει πραγματικά React Server Components από τον server, που σημαίνει ότι η έξοδος AI είναι πραγματικός κώδικας React που αποδίδεται από την πλευρά του server.",[3319,6260,6262],{"id":6261},"πώς-λειτουργεί","Πώς Λειτουργεί",[16,6264,6265],{},"Ορίζετε εργαλεία ως async generator συναρτήσεις που αποδίδουν καταστάσεις φόρτωσης και επιστρέφουν συστατικά React. Το SDK χειρίζεται τη σειριοποίηση του δέντρου συστατικών και τη μετάδοσή του με streaming στον client μέσω του πρωτοκόλλου RSC.",[249,6267,6269],{"className":251,"code":6268,"language":253,"meta":254,"style":254},"import { streamUI } from 'ai\u002Frsc';\n\nconst result = await streamUI({\n model: openai('gpt-4o'),\n prompt: 'Show revenue for Q1',\n tools: {\n revenueChart: {\n description: 'Display a revenue chart',\n parameters: z.object({ period: z.string(), data: z.array(...) }),\n generate: async function* (params) {\n yield \u003CChartSkeleton \u002F>; \u002F\u002F άμεση κατάσταση φόρτωσης\n return \u003CRevenueChart {...params} \u002F>; \u002F\u002F τελικό συστατικό\n },\n },\n },\n});\n",[65,6270,6271,6283,6287,6301,6314,6324,6329,6334,6343,6367,6384,6399,6420,6424,6428,6432],{"__ignoreMap":254},[258,6272,6273,6275,6277,6279,6281],{"class":260,"line":261},[258,6274,938],{"class":365},[258,6276,3964],{"class":268},[258,6278,944],{"class":365},[258,6280,3969],{"class":289},[258,6282,950],{"class":268},[258,6284,6285],{"class":260,"line":272},[258,6286,414],{"emptyLinePlaceholder":413},[258,6288,6289,6291,6293,6295,6297,6299],{"class":260,"line":280},[258,6290,1019],{"class":365},[258,6292,1319],{"class":659},[258,6294,663],{"class":365},[258,6296,666],{"class":365},[258,6298,1326],{"class":264},[258,6300,308],{"class":268},[258,6302,6303,6306,6308,6310,6312],{"class":260,"line":296},[258,6304,6305],{"class":268}," model: ",[258,6307,4087],{"class":264},[258,6309,1058],{"class":268},[258,6311,1548],{"class":289},[258,6313,1609],{"class":268},[258,6315,6316,6319,6322],{"class":260,"line":311},[258,6317,6318],{"class":268}," prompt: ",[258,6320,6321],{"class":289},"'Show revenue for Q1'",[258,6323,293],{"class":268},[258,6325,6326],{"class":260,"line":323},[258,6327,6328],{"class":268}," tools: {\n",[258,6330,6331],{"class":260,"line":351},[258,6332,6333],{"class":268}," revenueChart: {\n",[258,6335,6336,6339,6341],{"class":260,"line":357},[258,6337,6338],{"class":268}," description: ",[258,6340,290],{"class":289},[258,6342,293],{"class":268},[258,6344,6345,6348,6350,6353,6355,6358,6360,6362,6364],{"class":260,"line":382},[258,6346,6347],{"class":268}," parameters: z.",[258,6349,305],{"class":264},[258,6351,6352],{"class":268},"({ period: z.",[258,6354,317],{"class":264},[258,6356,6357],{"class":268},"(), data: z.",[258,6359,329],{"class":264},[258,6361,1058],{"class":268},[258,6363,443],{"class":365},[258,6365,6366],{"class":268},") }),\n",[258,6368,6369,6372,6374,6376,6378,6380,6382],{"class":260,"line":389},[258,6370,6371],{"class":264}," generate",[258,6373,286],{"class":268},[258,6375,366],{"class":365},[258,6377,369],{"class":365},[258,6379,372],{"class":268},[258,6381,376],{"class":375},[258,6383,379],{"class":268},[258,6385,6386,6389,6391,6393,6396],{"class":260,"line":395},[258,6387,6388],{"class":365}," yield",[258,6390,401],{"class":268},[258,6392,404],{"class":264},[258,6394,6395],{"class":268}," \u002F>; ",[258,6397,6398],{"class":385},"\u002F\u002F άμεση κατάσταση φόρτωσης\n",[258,6400,6401,6404,6406,6408,6410,6412,6414,6417],{"class":260,"line":410},[258,6402,6403],{"class":365}," return",[258,6405,401],{"class":268},[258,6407,437],{"class":264},[258,6409,440],{"class":268},[258,6411,443],{"class":365},[258,6413,376],{"class":264},[258,6415,6416],{"class":268},"} \u002F>; ",[258,6418,6419],{"class":385},"\u002F\u002F τελικό συστατικό\n",[258,6421,6422],{"class":260,"line":417},[258,6423,4325],{"class":268},[258,6425,6426],{"class":260,"line":423},[258,6427,454],{"class":268},[258,6429,6430],{"class":260,"line":429},[258,6431,460],{"class":268},[258,6433,6434],{"class":260,"line":451},[258,6435,2681],{"class":268},[16,6437,6438,6439,6441,6442,6444],{},"Το μοτίβο ",[65,6440,472],{}," \u002F ",[65,6443,4543],{}," είναι το χαρακτηριστικό γνώρισμα. Το skeleton εμφανίζεται αμέσως ενώ το AI επιλύει παραμέτρους. Όταν οι παράμετροι είναι έτοιμες, το πραγματικό συστατικό το αντικαθιστά — όλα σε μία streaming απόκριση.",[3319,6446,6448],{"id":6447},"πλεονεκτήματα","Πλεονεκτήματα",[2939,6450,6451,6459,6465,6471,6477],{},[45,6452,6453,5915,6456,6458],{},[48,6454,6455],{},"Βαθύτερη ενσωμάτωση Next.js.",[65,6457,127],{}," είναι σχεδιασμένο γύρω από το App Router και το RSC. Αν κατασκευάζετε εφαρμογή Next.js, αυτή είναι η πιο ιδιωματική επιλογή.",[45,6460,6461,6464],{},[48,6462,6463],{},"Αληθινή απόδοση server-side."," Τα παραγόμενα συστατικά αποδίδονται στον server, που σημαίνει ότι μπορούν να έχουν πρόσβαση σε βάσεις δεδομένων, συστήματα αρχείων και ιδιωτικά API απευθείας στις συναρτήσεις απόδοσής τους.",[45,6466,6467,6470],{},[48,6468,6469],{},"Μεγαλύτερο οικοσύστημα."," 20M+ μηνιαίες λήψεις σημαίνουν άφθονα παραδείγματα, απαντήσεις στο Stack Overflow και υποστήριξη κοινότητας.",[45,6472,6473,6476],{},[48,6474,6475],{},"Καλύτερη υποστήριξη TypeScript."," Οι τύποι του SDK είναι εξαντλητικοί. Παράμετροι εργαλείων, αποκρίσεις μοντέλων και τιμές streaming είναι όλες σωστά τυποποιημένες.",[45,6478,6479,6482],{},[48,6480,6481],{},"Ευελιξία παρόχων."," Το SDK αφαιρεί την πολυπλοκότητα των παρόχων μοντέλων — αλλάξτε από OpenAI σε Anthropic ή Google αλλάζοντας ένα import.",[3319,6484,6486],{"id":6485},"μειονεκτήματα","Μειονεκτήματα",[2939,6488,6489,6497,6503,6509],{},[45,6490,6491,5915,6494,6496],{},[48,6492,6493],{},"Εξάρτηση από Next.js.",[65,6495,127],{}," απαιτεί React Server Components. Λειτουργεί στο Next.js App Router. Η εκτέλεσή του εκτός αυτού του περιβάλλοντος απαιτεί σημαντικές προσπάθειες παρακαμπτήριας λύσης.",[45,6498,6499,6502],{},[48,6500,6501],{},"Πολυπλοκότητα εντοπισμού σφαλμάτων RSC."," Όταν κάτι πάει στραβά σε ένα server component που μεταδίδεται, η εμπειρία εντοπισμού σφαλμάτων είναι χειρότερη από ένα κανονικό σφάλμα server. Τα μηνύματα σφαλμάτων μπορεί να είναι κρυπτογραφικά.",[45,6504,6505,6508],{},[48,6506,6507],{},"Περιορισμοί server component."," Το RSC δεν μπορεί να χρησιμοποιεί hooks, browser APIs ή client-side κατάσταση απευθείας. Η διαδραστική συμπεριφορά απαιτεί προσεκτική κατανομή server και client συστατικών.",[45,6510,6511,6514],{},[48,6512,6513],{},"Εγγύτητα με Vercel."," Ενώ το SDK λειτουργεί σε οποιαδήποτε πλατφόρμα που υποστηρίζει Node.js, ορισμένα χαρακτηριστικά είναι βελτιστοποιημένα για την υποδομή του Vercel.",[3319,6516,6518],{"id":6517},"πότε-να-επιλέξετε-vercel-ai-sdk","Πότε να Επιλέξετε Vercel AI SDK",[16,6520,6521],{},"Κατασκευάζετε νέα εφαρμογή Next.js. Θέλετε την πιο production-ready, με υψηλή απόδοση υλοποίηση Generative UI. Είστε εξοικειωμένοι με React Server Components και το App Router. Θέλετε τη μεγαλύτερη ποικιλία παραδειγμάτων κοινότητας.",[2957,6523],{},[11,6525,6527],{"id":6526},"copilotkit-η-επιλογή-ολοκλήρωσης","CopilotKit: Η Επιλογή Ολοκλήρωσης",[16,6529,6530,6531,6534],{},"Το CopilotKit ακολουθεί διαφορετική φιλοσοφία. Αντί να μεταδίδει συστατικά από τον server, παρέχει client-side συστατικά React που δημιουργούν εμπειρίες «copilot». Ρίξτε ",[65,6532,6533],{},"\u003CCopilotChat>"," στην υπάρχουσα εφαρμογή σας και έχετε ένα AI sidebar που μπορεί να διαβάζει και να τροποποιεί την κατάσταση της εφαρμογής σας.",[3319,6536,6262],{"id":6537},"πώς-λειτουργεί-1",[16,6539,6540],{},"Το CopilotKit εισάγει δύο κύρια primitives: ενέργειες και αναγνώσιμη κατάσταση. Ορίζετε τι μπορεί να κάνει και τι μπορεί να δει το AI, και το CopilotKit χειρίζεται τα υπόλοιπα.",[249,6542,6544],{"className":482,"code":6543,"language":484,"meta":254,"style":254},"import { CopilotKit, CopilotChat } from '@copilotkit\u002Freact-core';\nimport { useCopilotAction, useCopilotReadable } from '@copilotkit\u002Freact-core';\n\nfunction Dashboard() {\n const [filters, setFilters] = useState({ period: 'month', metric: 'revenue' });\n\n \u002F\u002F Επιτρέψτε στο AI να διαβάσει την τρέχουσα κατάσταση\n useCopilotReadable({\n description: 'Current dashboard filters',\n value: filters,\n });\n\n \u002F\u002F Επιτρέψτε στο AI να τροποποιήσει τα φίλτρα\n useCopilotAction({\n name: 'updateFilters',\n description: 'Update the dashboard view',\n parameters: [\n { name: 'period', type: 'string' },\n { name: 'metric', type: 'string' },\n ],\n handler: ({ period, metric }) => setFilters({ period, metric }),\n });\n\n return (\n \u003Cdiv className=\"flex\">\n \u003CDashboardView filters={filters} \u002F>\n \u003CCopilotChat instructions=\"Help the user explore their dashboard data.\" \u002F>\n \u003C\u002Fdiv>\n );\n}\n\n\u002F\u002F Περιτυλίξτε την εφαρμογή με CopilotKit\nfunction App() {\n return (\n \u003CCopilotKit runtimeUrl=\"\u002Fapi\u002Fcopilotkit\">\n \u003CDashboard \u002F>\n \u003C\u002FCopilotKit>\n );\n}\n",[65,6545,6546,6560,6573,6577,6586,6620,6624,6629,6636,6645,6650,6654,6658,6663,6670,6680,6689,6694,6711,6724,6729,6753,6757,6761,6767,6782,6797,6814,6822,6826,6830,6834,6839,6848,6854,6870,6878,6886,6890],{"__ignoreMap":254},[258,6547,6548,6550,6553,6555,6558],{"class":260,"line":261},[258,6549,938],{"class":365},[258,6551,6552],{"class":268}," { CopilotKit, CopilotChat } ",[258,6554,944],{"class":365},[258,6556,6557],{"class":289}," '@copilotkit\u002Freact-core'",[258,6559,950],{"class":268},[258,6561,6562,6564,6567,6569,6571],{"class":260,"line":272},[258,6563,938],{"class":365},[258,6565,6566],{"class":268}," { useCopilotAction, useCopilotReadable } ",[258,6568,944],{"class":365},[258,6570,6557],{"class":289},[258,6572,950],{"class":268},[258,6574,6575],{"class":260,"line":280},[258,6576,414],{"emptyLinePlaceholder":413},[258,6578,6579,6581,6584],{"class":260,"line":296},[258,6580,1052],{"class":365},[258,6582,6583],{"class":264}," Dashboard",[258,6585,1783],{"class":268},[258,6587,6588,6590,6592,6595,6597,6600,6602,6604,6606,6609,6612,6615,6618],{"class":260,"line":311},[258,6589,656],{"class":365},[258,6591,810],{"class":268},[258,6593,6594],{"class":659},"filters",[258,6596,633],{"class":268},[258,6598,6599],{"class":659},"setFilters",[258,6601,823],{"class":268},[258,6603,507],{"class":365},[258,6605,1804],{"class":264},[258,6607,6608],{"class":268},"({ period: ",[258,6610,6611],{"class":289},"'month'",[258,6613,6614],{"class":268},", metric: ",[258,6616,6617],{"class":289},"'revenue'",[258,6619,1335],{"class":268},[258,6621,6622],{"class":260,"line":323},[258,6623,414],{"emptyLinePlaceholder":413},[258,6625,6626],{"class":260,"line":351},[258,6627,6628],{"class":385}," \u002F\u002F Επιτρέψτε στο AI να διαβάσει την τρέχουσα κατάσταση\n",[258,6630,6631,6634],{"class":260,"line":357},[258,6632,6633],{"class":264}," useCopilotReadable",[258,6635,308],{"class":268},[258,6637,6638,6640,6643],{"class":260,"line":382},[258,6639,1672],{"class":268},[258,6641,6642],{"class":289},"'Current dashboard filters'",[258,6644,293],{"class":268},[258,6646,6647],{"class":260,"line":389},[258,6648,6649],{"class":268}," value: filters,\n",[258,6651,6652],{"class":260,"line":395},[258,6653,2283],{"class":268},[258,6655,6656],{"class":260,"line":410},[258,6657,414],{"emptyLinePlaceholder":413},[258,6659,6660],{"class":260,"line":417},[258,6661,6662],{"class":385}," \u002F\u002F Επιτρέψτε στο AI να τροποποιήσει τα φίλτρα\n",[258,6664,6665,6668],{"class":260,"line":423},[258,6666,6667],{"class":264}," useCopilotAction",[258,6669,308],{"class":268},[258,6671,6672,6675,6678],{"class":260,"line":429},[258,6673,6674],{"class":268}," name: ",[258,6676,6677],{"class":289},"'updateFilters'",[258,6679,293],{"class":268},[258,6681,6682,6684,6687],{"class":260,"line":451},[258,6683,1672],{"class":268},[258,6685,6686],{"class":289},"'Update the dashboard view'",[258,6688,293],{"class":268},[258,6690,6691],{"class":260,"line":457},[258,6692,6693],{"class":268}," parameters: [\n",[258,6695,6696,6699,6702,6705,6708],{"class":260,"line":463},[258,6697,6698],{"class":268}," { name: ",[258,6700,6701],{"class":289},"'period'",[258,6703,6704],{"class":268},", type: ",[258,6706,6707],{"class":289},"'string'",[258,6709,6710],{"class":268}," },\n",[258,6712,6713,6715,6718,6720,6722],{"class":260,"line":870},[258,6714,6698],{"class":268},[258,6716,6717],{"class":289},"'metric'",[258,6719,6704],{"class":268},[258,6721,6707],{"class":289},[258,6723,6710],{"class":268},[258,6725,6726],{"class":260,"line":876},[258,6727,6728],{"class":268}," ],\n",[258,6730,6731,6734,6736,6738,6740,6743,6745,6747,6750],{"class":260,"line":909},[258,6732,6733],{"class":264}," handler",[258,6735,2367],{"class":268},[258,6737,636],{"class":375},[258,6739,633],{"class":268},[258,6741,6742],{"class":375},"metric",[258,6744,2373],{"class":268},[258,6746,1598],{"class":365},[258,6748,6749],{"class":264}," setFilters",[258,6751,6752],{"class":268},"({ period, metric }),\n",[258,6754,6755],{"class":260,"line":1223},[258,6756,2283],{"class":268},[258,6758,6759],{"class":260,"line":1238},[258,6760,414],{"emptyLinePlaceholder":413},[258,6762,6763,6765],{"class":260,"line":1257},[258,6764,725],{"class":365},[258,6766,528],{"class":268},[258,6768,6769,6771,6773,6775,6777,6780],{"class":260,"line":1262},[258,6770,550],{"class":268},[258,6772,501],{"class":500},[258,6774,504],{"class":264},[258,6776,507],{"class":365},[258,6778,6779],{"class":289},"\"flex\"",[258,6781,545],{"class":268},[258,6783,6784,6786,6789,6792,6794],{"class":260,"line":1294},[258,6785,3316],{"class":268},[258,6787,6788],{"class":659},"DashboardView",[258,6790,6791],{"class":264}," filters",[258,6793,507],{"class":365},[258,6795,6796],{"class":268},"{filters} \u002F>\n",[258,6798,6799,6801,6804,6807,6809,6812],{"class":260,"line":1303},[258,6800,3316],{"class":268},[258,6802,6803],{"class":659},"CopilotChat",[258,6805,6806],{"class":264}," instructions",[258,6808,507],{"class":365},[258,6810,6811],{"class":289},"\"Help the user explore their dashboard data.\"",[258,6813,562],{"class":268},[258,6815,6816,6818,6820],{"class":260,"line":1309},[258,6817,3431],{"class":268},[258,6819,501],{"class":500},[258,6821,545],{"class":268},[258,6823,6824],{"class":260,"line":1314},[258,6825,3440],{"class":268},[258,6827,6828],{"class":260,"line":1338},[258,6829,466],{"class":268},[258,6831,6832],{"class":260,"line":1355},[258,6833,414],{"emptyLinePlaceholder":413},[258,6835,6836],{"class":260,"line":1363},[258,6837,6838],{"class":385},"\u002F\u002F Περιτυλίξτε την εφαρμογή με CopilotKit\n",[258,6840,6841,6843,6846],{"class":260,"line":4316},[258,6842,1052],{"class":365},[258,6844,6845],{"class":264}," App",[258,6847,1783],{"class":268},[258,6849,6850,6852],{"class":260,"line":4322},[258,6851,725],{"class":365},[258,6853,528],{"class":268},[258,6855,6856,6858,6860,6863,6865,6868],{"class":260,"line":4328},[258,6857,550],{"class":268},[258,6859,6121],{"class":659},[258,6861,6862],{"class":264}," runtimeUrl",[258,6864,507],{"class":365},[258,6866,6867],{"class":289},"\"\u002Fapi\u002Fcopilotkit\"",[258,6869,545],{"class":268},[258,6871,6872,6874,6876],{"class":260,"line":4334},[258,6873,3316],{"class":268},[258,6875,730],{"class":659},[258,6877,562],{"class":268},[258,6879,6880,6882,6884],{"class":260,"line":4350},[258,6881,3431],{"class":268},[258,6883,6121],{"class":659},[258,6885,545],{"class":268},[258,6887,6888],{"class":260,"line":4359},[258,6889,3440],{"class":268},[258,6891,6892],{"class":260,"line":4378},[258,6893,466],{"class":268},[16,6895,6896],{},"Το μοτίβο copilot είναι διακριτό: το AI είναι ένας βοηθός sidebar που αλληλεπιδρά με την υπάρχουσα διεπαφή, αντί να παράγει νέα διεπαφή από μηδέν.",[3319,6898,6448],{"id":6899},"πλεονεκτήματα-1",[2939,6901,6902,6908,6914,6920,6934],{},[45,6903,6904,6907],{},[48,6905,6906],{},"Ταχύτερος χρόνος ολοκλήρωσης."," Η προσθήκη ενός AI sidebar σε μια υπάρχουσα εφαρμογή React διαρκεί ώρες, όχι μέρες. Τα συστατικά λειτουργούν χωρίς πρόσθετη διαμόρφωση.",[45,6909,6910,6913],{},[48,6911,6912],{},"Λειτουργεί με οποιαδήποτε ρύθμιση React."," Create React App, Vite, Remix, Next.js — το CopilotKit δεν απαιτεί RSC ή συγκεκριμένο bundler.",[45,6915,6916,6919],{},[48,6917,6918],{},"Φυσικό μοτίβο copilot."," Το AI sidebar που βοηθά με την υπάρχουσα διεπαφή είναι ένα καλά κατανοητό μοτίβο που οι χρήστες καταλαβαίνουν αμέσως.",[45,6921,6922,6925,6926,6929,6930,6933],{},[48,6923,6924],{},"Ενσωματωμένος συγχρονισμός κατάστασης."," Τα ",[65,6927,6928],{},"useCopilotReadable"," και ",[65,6931,6932],{},"useCopilotAction"," δημιουργούν μια σαφή αμφίδρομη σύμβαση μεταξύ της εφαρμογής σας και του AI.",[45,6935,6936,6939,6940,6942],{},[48,6937,6938],{},"Ισχυρή προεπιλεγμένη διεπαφή."," Το συστατικό ",[65,6941,6533],{}," είναι production-quality και προσαρμόσιμο χωρίς να χρειάζεται να κατασκευάσετε τη δική σας διεπαφή chat.",[3319,6944,6486],{"id":6945},"μειονεκτήματα-1",[2939,6947,6948,6954,6960,6966],{},[45,6949,6950,6953],{},[48,6951,6952],{},"Μοντέλο απόδοσης client-side."," Το CopilotKit αποδίδει την έξοδο AI στον client. Δεν υπάρχει SSR για παραγόμενα συστατικά, που επηρεάζει την απόδοση και το SEO για δημόσιο περιεχόμενο.",[45,6955,6956,6959],{},[48,6957,6958],{},"Το μοτίβο copilot δεν είναι καθολικό."," Αν η περίπτωση χρήσης σας δεν είναι «AI sidebar που βοηθά με την κύρια διεπαφή», το CopilotKit απαιτεί περισσότερη προσαρμογή.",[45,6961,6962,6965],{},[48,6963,6964],{},"Λιγότερος έλεγχος στη ροή απόδοσης."," Για σύνθετη προσαρμοσμένη παραγωγή συστατικών, το Vercel AI SDK δίνει μεγαλύτερη ευελιξία.",[45,6967,6968,6971],{},[48,6969,6970],{},"Μέγεθος bundle."," Η απόδοση client-side σημαίνει ότι η βιβλιοθήκη συστατικών αποστέλλεται στο πρόγραμμα περιήγησης. Για εφαρμογές ευαίσθητες στην απόδοση, αυτό απαιτεί προσοχή.",[3319,6973,6975],{"id":6974},"πότε-να-επιλέξετε-copilotkit","Πότε να Επιλέξετε CopilotKit",[16,6977,6978],{},"Έχετε υπάρχουσα εφαρμογή React και θέλετε να προσθέσετε γρήγορα λειτουργίες με AI. Το μοτίβο copilot — ένα AI sidebar που μπορεί να διαβάζει και να τροποποιεί την κύρια διεπαφή — ταιριάζει στο προϊόν σας. Δεν θέλετε να ασχοληθείτε με RSC.",[2957,6980],{},[11,6982,6984],{"id":6983},"thesys-json-render-η-καθολική-επιλογή","Thesys (json-render): Η Καθολική Επιλογή",[16,6986,6987],{},"Το Thesys, που κυκλοφόρησε τον Ιανουάριο 2026 και έχει ήδη 13K αστέρια GitHub, ακολουθεί την πιο αγνωστική ως προς το framework προσέγγιση. Τα μοντέλα AI εξάγουν JSON που περιγράφει ένα δέντρο συστατικών διεπαφής, και ένας renderer μετατρέπει αυτό το JSON σε διαδραστικά συστατικά.",[3319,6989,6262],{"id":6990},"πώς-λειτουργεί-2",[16,6992,6993],{},"Το AI εξάγει JSON αντί να ενεργοποιεί κλήσεις εργαλείων React. Αυτό το JSON περιγράφει μια ιεραρχία συστατικών, και ο renderer Thesys το ερμηνεύει:",[249,6995,6997],{"className":251,"code":6996,"language":253,"meta":254,"style":254},"\u002F\u002F Το AI εξάγει κάτι σαν αυτό:\nconst aiOutput = {\n type: \"layout\",\n direction: \"grid\",\n columns: 2,\n children: [\n {\n type: \"MetricCard\",\n props: {\n label: \"Monthly Revenue\",\n value: \"$84,200\",\n change: 12.4,\n period: \"vs last month\"\n }\n },\n {\n type: \"AlertBanner\",\n props: {\n type: \"info\",\n title: \"New record\",\n message: \"Best month in company history\"\n }\n }\n ]\n};\n\n\u002F\u002F Ο renderer μετατρέπει το JSON σε διεπαφή\nimport { render } from '@thesys\u002Fjson-render';\nconst ui = render(aiOutput, componentRegistry);\n",[65,6998,6999,7004,7015,7025,7035,7044,7049,7054,7064,7069,7079,7089,7099,7107,7112,7116,7120,7129,7133,7143,7153,7161,7165,7169,7174,7178,7182,7187,7201],{"__ignoreMap":254},[258,7000,7001],{"class":260,"line":261},[258,7002,7003],{"class":385},"\u002F\u002F Το AI εξάγει κάτι σαν αυτό:\n",[258,7005,7006,7008,7011,7013],{"class":260,"line":272},[258,7007,1019],{"class":365},[258,7009,7010],{"class":659}," aiOutput",[258,7012,663],{"class":365},[258,7014,965],{"class":268},[258,7016,7017,7020,7023],{"class":260,"line":280},[258,7018,7019],{"class":268}," type: ",[258,7021,7022],{"class":289},"\"layout\"",[258,7024,293],{"class":268},[258,7026,7027,7030,7033],{"class":260,"line":296},[258,7028,7029],{"class":268}," direction: ",[258,7031,7032],{"class":289},"\"grid\"",[258,7034,293],{"class":268},[258,7036,7037,7040,7042],{"class":260,"line":311},[258,7038,7039],{"class":268}," columns: ",[258,7041,2650],{"class":659},[258,7043,293],{"class":268},[258,7045,7046],{"class":260,"line":323},[258,7047,7048],{"class":268}," children: [\n",[258,7050,7051],{"class":260,"line":351},[258,7052,7053],{"class":268}," {\n",[258,7055,7056,7059,7062],{"class":260,"line":357},[258,7057,7058],{"class":268}," type: ",[258,7060,7061],{"class":289},"\"MetricCard\"",[258,7063,293],{"class":268},[258,7065,7066],{"class":260,"line":382},[258,7067,7068],{"class":268}," props: {\n",[258,7070,7071,7074,7077],{"class":260,"line":389},[258,7072,7073],{"class":268}," label: ",[258,7075,7076],{"class":289},"\"Monthly Revenue\"",[258,7078,293],{"class":268},[258,7080,7081,7084,7087],{"class":260,"line":395},[258,7082,7083],{"class":268}," value: ",[258,7085,7086],{"class":289},"\"$84,200\"",[258,7088,293],{"class":268},[258,7090,7091,7094,7097],{"class":260,"line":410},[258,7092,7093],{"class":268}," change: ",[258,7095,7096],{"class":659},"12.4",[258,7098,293],{"class":268},[258,7100,7101,7104],{"class":260,"line":417},[258,7102,7103],{"class":268}," period: ",[258,7105,7106],{"class":289},"\"vs last month\"\n",[258,7108,7109],{"class":260,"line":423},[258,7110,7111],{"class":268}," }\n",[258,7113,7114],{"class":260,"line":429},[258,7115,454],{"class":268},[258,7117,7118],{"class":260,"line":451},[258,7119,7053],{"class":268},[258,7121,7122,7124,7127],{"class":260,"line":457},[258,7123,7058],{"class":268},[258,7125,7126],{"class":289},"\"AlertBanner\"",[258,7128,293],{"class":268},[258,7130,7131],{"class":260,"line":463},[258,7132,7068],{"class":268},[258,7134,7135,7138,7141],{"class":260,"line":870},[258,7136,7137],{"class":268}," type: ",[258,7139,7140],{"class":289},"\"info\"",[258,7142,293],{"class":268},[258,7144,7145,7148,7151],{"class":260,"line":876},[258,7146,7147],{"class":268}," title: ",[258,7149,7150],{"class":289},"\"New record\"",[258,7152,293],{"class":268},[258,7154,7155,7158],{"class":260,"line":909},[258,7156,7157],{"class":268}," message: ",[258,7159,7160],{"class":289},"\"Best month in company history\"\n",[258,7162,7163],{"class":260,"line":1223},[258,7164,7111],{"class":268},[258,7166,7167],{"class":260,"line":1238},[258,7168,2004],{"class":268},[258,7170,7171],{"class":260,"line":1257},[258,7172,7173],{"class":268}," ]\n",[258,7175,7176],{"class":260,"line":1262},[258,7177,1700],{"class":268},[258,7179,7180],{"class":260,"line":1294},[258,7181,414],{"emptyLinePlaceholder":413},[258,7183,7184],{"class":260,"line":1303},[258,7185,7186],{"class":385},"\u002F\u002F Ο renderer μετατρέπει το JSON σε διεπαφή\n",[258,7188,7189,7191,7194,7196,7199],{"class":260,"line":1309},[258,7190,938],{"class":365},[258,7192,7193],{"class":268}," { render } ",[258,7195,944],{"class":365},[258,7197,7198],{"class":289}," '@thesys\u002Fjson-render'",[258,7200,950],{"class":268},[258,7202,7203,7205,7207,7209,7212],{"class":260,"line":1314},[258,7204,1019],{"class":365},[258,7206,4889],{"class":659},[258,7208,663],{"class":365},[258,7210,7211],{"class":264}," render",[258,7213,7214],{"class":268},"(aiOutput, componentRegistry);\n",[16,7216,7217],{},"Το σχήμα JSON είναι το αντικείμενο-αποτέλεσμα. Μπορεί να καταγραφεί, να αποθηκευτεί στην κρυφή μνήμη, να αναπαραχθεί και να αποδοθεί σε οποιαδήποτε πλατφόρμα που διαθέτει renderer Thesys.",[3319,7219,6448],{"id":7220},"πλεονεκτήματα-2",[2939,7222,7223,7229,7235,7241,7247],{},[45,7224,7225,7228],{},[48,7226,7227],{},"Αγνωστικό ως προς το framework."," Το ίδιο σχήμα JSON αποδίδεται σε React, Vue, Angular ή native mobile. Μία απόκριση AI, πολλοί renderers.",[45,7230,7231,7234],{},[48,7232,7233],{},"Εύκολος εντοπισμός σφαλμάτων."," Η έξοδος JSON είναι μια απλή δομή δεδομένων που μπορείτε να επιθεωρήσετε σε οποιοδήποτε πρόγραμμα προβολής JSON. Ο εντοπισμός «γιατί το AI παρήγαγε αυτό;» είναι απλός.",[45,7236,7237,7240],{},[48,7238,7239],{},"Αποθηκεύσιμο στην κρυφή μνήμη."," Αποθηκεύστε βάσει hash prompt και η απόκριση AI επαναχρησιμοποιείται χωρίς κόστος inference. Αυτό είναι δυσκολότερο με RSC streaming.",[45,7242,7243,7246],{},[48,7244,7245],{},"Επιθεωρήσιμο ιστορικό."," Η αποθήκευση παραγόμενης διεπαφής ως JSON σημαίνει ότι μπορείτε να ελέγξετε ακριβώς τι εμφανίστηκε στους χρήστες, επαναλαμβάνοντας οποιαδήποτε αλληλεπίδραση.",[45,7248,7249,7252],{},[48,7250,7251],{},"Απλούστερο εννοιολογικό μοντέλο."," JSON μέσα, διεπαφή έξω. Η αφαίρεση είναι εύκολο να εξηγηθεί σε προγραμματιστές που δεν γνωρίζουν React.",[3319,7254,6486],{"id":7255},"μειονεκτήματα-2",[2939,7257,7258,7264,7270,7276],{},[45,7259,7260,7263],{},[48,7261,7262],{},"Νεότερο έργο."," Το Thesys κυκλοφόρησε τον Ιανουάριο 2026. Λιγότερο δοκιμασμένο σε παραγωγή από τις εναλλακτικές. Οι αλλαγές που σπάνε συμβατότητα είναι πιο πιθανές.",[45,7265,7266,7269],{},[48,7267,7268],{},"Η αφαίρεση JSON περιορίζει τη διαδραστικότητα."," Σύνθετα διαδραστικά μοτίβα — φόρμες με λογική επικύρωσης, real-time δεδομένα, κινούμενες μεταβάσεις — είναι δυσκολότερο να εκφραστούν σε σχήμα JSON από ό,τι σε κώδικα React.",[45,7271,7272,7275],{},[48,7273,7274],{},"Απόδοση client-side."," Όπως το CopilotKit, η απόδοση γίνεται στον client. Δεν υπάρχει SSR.",[45,7277,7278,7281],{},[48,7279,7280],{},"Μικρότερη κοινότητα."," 13K αστέρια σε 3 μήνες είναι εντυπωσιακή ανάπτυξη, αλλά η κοινότητα είναι ένα κλάσμα του μεγέθους του Vercel AI SDK.",[3319,7283,7285],{"id":7284},"πότε-να-επιλέξετε-thesys","Πότε να Επιλέξετε Thesys",[16,7287,7288],{},"Το έργο σας χρησιμοποιεί πολλαπλά frontend frameworks ή χρειάζεται να υποστηρίξει mobile clients. Εκτιμάτε τη δυνατότητα επιθεώρησης, αποθήκευσης στην κρυφή μνήμη και αναπαραγωγής παραγόμενων διεπαφών. Θέλετε ένα απλούστερο εννοιολογικό μοντέλο. Είστε άνετοι να υιοθετείτε νωρίς.",[2957,7290],{},[11,7292,7294],{"id":7293},"εκτιμήσεις-μετανάστευσης","Εκτιμήσεις Μετανάστευσης",[16,7296,7297],{},"Η αλλαγή framework αργότερα δεν είναι δωρεάν, αλλά είναι λιγότερο ακριβή από ό,τι φαίνεται.",[16,7299,7300],{},[48,7301,7302],{},"Τι μεταφέρεται:",[2939,7304,7305,7308,7311],{},[45,7306,7307],{},"Η βιβλιοθήκη συστατικών σας (καθαρή React, χωρίς εξάρτηση framework)",[45,7309,7310],{},"Τα system prompts και οι περιγραφές εργαλείων σας",[45,7312,7313],{},"Τα σχήματα Zod για παραμέτρους εργαλείων",[16,7315,7316],{},[48,7317,7318],{},"Τι απαιτεί ανάγραφη:",[2939,7320,7321,7324,7327],{},[45,7322,7323],{},"Η δομή server action \u002F API endpoint",[45,7325,7326],{},"Ο κώδικας ολοκλήρωσης streaming",[45,7328,7329],{},"Η ρύθμιση απόδοσης client-side",[16,7331,7332],{},"Υπολογίστε 2–5 ημέρες για μετανάστευση μεταξύ frameworks για μια λειτουργία μέτριας πολυπλοκότητας. Η βιβλιοθήκη συστατικών — συνήθως η μεγαλύτερη επένδυση — μεταφέρεται χωρίς αλλαγές.",[11,7334,7336],{"id":7335},"μήτρα-σύστασης","Μήτρα Σύστασης",[16,7338,7339,7342],{},[48,7340,7341],{},"Ξεκινάτε νέα εφαρμογή Next.js από μηδέν:"," Vercel AI SDK. Αδιαμφισβήτητο για καθαρές κατασκευές Next.js.",[16,7344,7345,7348],{},[48,7346,7347],{},"Προσθέτετε AI σε υπάρχουσα εφαρμογή React:"," CopilotKit. Ταχύτερος χρόνος-σε-αξία για την περίπτωση ολοκλήρωσης.",[16,7350,7351,7354],{},[48,7352,7353],{},"Multi-framework ή stack εκτός React:"," Thesys. Η μόνη πρακτική επιλογή για αγνωστικές ανάγκες framework.",[16,7356,7357,7360],{},[48,7358,7359],{},"Αναποφάσιστοι και θέλετε να αρχίσετε εξερεύνηση:"," Vercel AI SDK. Η μεγαλύτερη κοινότητα σημαίνει τα περισσότερα παραδείγματα και τις περισσότερες απαντήσεις.",[16,7362,7363,7366],{},[48,7364,7365],{},"Στοιχηματίζετε στο μέλλον των AI διεπαφών:"," Παρακολουθήστε και τα τρία. Ο χώρος κινείται γρήγορα και οι νικητές του σήμερα μπορεί να μην είναι νικητές σε 18 μήνες.",[16,7368,7369],{},"Ακόμη μια αρχή που αξίζει να αναφερθεί ρητά: μην επενδύετε υπερβολικά στην επιλογή framework νωρίς. Τα συστατικά που κατασκευάζετε είναι το πολύτιμο, ανθεκτικό αποτέλεσμα. Το framework είναι η υδραυλική εγκατάσταση. Κατασκευάστε εξαιρετικά συστατικά, διατηρήστε τα καθαρά από κώδικα ειδικό για framework, και μπορείτε να αλλάξετε framework σε μια εβδομάδα αν χρειαστεί.",[2957,7371],{},[16,7373,7374],{},[20,7375,7376,7377,7380],{},"Κατασκευάζετε με ένα από αυτά τα frameworks και χρειάζεστε καθοδήγηση; ",[2965,7378,7379],{"href":2967},"Κλείστε συνεδρία"," — έχω παραγωγική εμπειρία και με τα τρία.",[2971,7382,7383],{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .s9eBZ, html code.shiki .s9eBZ{--shiki-default:#22863A;--shiki-dark:#85E89D}",{"title":254,"searchDepth":272,"depth":272,"links":7385},[7386,7387,7388,7394,7400,7406,7407],{"id":6095,"depth":272,"text":6096},{"id":6105,"depth":272,"text":6106},{"id":6252,"depth":272,"text":6253,"children":7389},[7390,7391,7392,7393],{"id":6261,"depth":280,"text":6262},{"id":6447,"depth":280,"text":6448},{"id":6485,"depth":280,"text":6486},{"id":6517,"depth":280,"text":6518},{"id":6526,"depth":272,"text":6527,"children":7395},[7396,7397,7398,7399],{"id":6537,"depth":280,"text":6262},{"id":6899,"depth":280,"text":6448},{"id":6945,"depth":280,"text":6486},{"id":6974,"depth":280,"text":6975},{"id":6983,"depth":272,"text":6984,"children":7401},[7402,7403,7404,7405],{"id":6990,"depth":280,"text":6262},{"id":7220,"depth":280,"text":6448},{"id":7255,"depth":280,"text":6486},{"id":7284,"depth":280,"text":7285},{"id":7293,"depth":272,"text":7294},{"id":7335,"depth":272,"text":7336},"framework-guide","2026-02-14","Μια ειλικρινής σύγκριση των τριών κύριων frameworks Generative UI, με πλεονεκτήματα, μειονεκτήματα και πότε να χρησιμοποιείτε το καθένα.",{"audit_status":2998,"audit_date":2999},"\u002Fel\u002Flearn\u002Fcopilotkit-vs-vercel-ai-sdk-vs-thesys","14 λεπτά ανάγνωσης",{"title":6090,"description":7410},"el\u002Flearn\u002Fcopilotkit-vs-vercel-ai-sdk-vs-thesys",[7417,6085,7418,7419,7420],"copilotkit","thesys","comparison","frameworks","HKhE72Z5cmtrSdCUlDrDY69n6nuyIyPmGZ3j3LCcWAQ",{"id":7423,"title":7424,"author":6,"body":7425,"category":6074,"date":9716,"description":9717,"draft":2995,"extension":2996,"featured":2995,"meta":9718,"navigation":413,"path":9719,"readTime":9720,"seo":9721,"stem":9722,"tags":9723,"__hash__":9727},"content\u002Fel\u002Flearn\u002Fgenerative-ui-accessibility-guide.md","Προσβασιμότητα σε Generative UI: Δημιουργία Συμπεριληπτικών AI Διεπαφών",{"type":8,"value":7426,"toc":9702},[7427,7431,7434,7437,7440,7443,7450,7453,7457,7460,7482,7549,7559,7571,7757,7763,7769,7773,7776,7783,7925,7928,7957,7960,8052,8061,8065,8068,8073,8301,8310,8331,8336,8339,8343,8346,8356,8366,8700,8711,8715,8718,8791,8800,8820,8828,8832,8835,8838,9022,9025,9132,9136,9143,9149,9169,9186,9198,9205,9209,9212,9215,9218,9262,9265,9269,9272,9278,9284,9290,9296,9392,9395,9400,9441,9444,9448,9451,9464,9599,9608,9614,9620,9624,9627,9674,9677,9689,9691,9699],[11,7428,7430],{"id":7429},"γιατί-η-προσβασιμότητα-είναι-δυσκολότερη-στο-generative-ui","Γιατί η Προσβασιμότητα Είναι Δυσκολότερη στο Generative UI",[16,7432,7433],{},"Η ομάδα προσβασιμότητάς σας μόλις υπέγραψε τον έλεγχο κάθε οθόνης του προϊόντος. Τρεις εβδομάδες αργότερα, το AI συναρμολογεί μια διάταξη που κανένας σχεδιαστής δεν σχεδίασε — και σε αυτή τη διάταξη η ιεραρχία επικεφαλίδων σπάει για τα screen readers, ένα παράθυρο διαλόγου που παράγεται έχει παγίδα εστίασης, και σε ένα γράφημα το χρώμα παραμένει το μόνο σήμα. Τίποτα από αυτά δεν εντοπίστηκε στον έλεγχο, γιατί τίποτα από αυτά δεν υπήρχε τότε.",[16,7435,7436],{},"Αυτή είναι μια νέα επιφάνεια προσβασιμότητας, και το παλιό εγχειρίδιο δεν την καλύπτει.",[16,7438,7439],{},"Σε ένα παραδοσιακό UI, ένας μηχανικός μπορεί να ελέγξει κάθε οθόνη ως προς τις απαιτήσεις WCAG 2.2. Ο αριθμός των οθονών είναι πεπερασμένος. Η ομάδα προσβασιμότητας (a11y) γνωρίζει ακριβώς τι να δοκιμάσει.",[16,7441,7442],{},"Το Generative UI σπάει αυτό το μοντέλο. Το σύνολο των πιθανών interfaces δεν είναι απαριθμήσιμο — το AI μπορεί να συνθέσει συστατικά με τρόπους που κανένας άνθρωπος δεν σχεδίασε ρητά. Μια οθόνη που περνά τον έλεγχο προσβασιμότητας σήμερα μπορεί αύριο να συνδυαστεί με ένα νέο συστατικό και να παράγει μια μη προσβάσιμη διάταξη.",[16,7444,7445,7446,7449],{},"Η λύση είναι να μεταφέρετε τις απαιτήσεις προσβασιμότητας στο επίπεδο του μεμονωμένου συστατικού. Αν κάθε συστατικό στη βιβλιοθήκη σας είναι ξεχωριστά προσβάσιμο, κάθε σύνθεσή τους θα είναι επίσης προσβάσιμη — ",[20,7447,7448],{},"υπό την προϋπόθεση ότι η σύνθεση η ίδια είναι σωστά δομημένη",". Αυτή η επιφύλαξη είναι σημαντική· θα επιστρέψουμε σε αυτήν στην ενότητα «Συνδυαστικά Προβλήματα Προσβασιμότητας», γιατί εκεί ζουν τα περισσότερα πραγματικά σφάλματα a11y σε γεννητικά συστήματα.",[16,7451,7452],{},"Αυτό είναι στην πραγματικότητα ένα πιο καθαρό μοντέλο από τον χειροκίνητο έλεγχο κάθε οθόνης. Και δεν είναι προαιρετικό: το AI δεν θα προσθέσει ετικέτες ARIA ούτε θα διαχειριστεί την εστίαση για εσάς. Η βιβλιοθήκη συστατικών είναι ο μόνος σας μοχλός.",[11,7454,7456],{"id":7455},"βασικές-απαιτήσεις-σε-επίπεδο-συστατικού","Βασικές Απαιτήσεις σε Επίπεδο Συστατικού",[16,7458,7459],{},"Κάθε συστατικό στο registry εργαλείων Generative UI πρέπει να πληροί τις παρακάτω απαιτήσεις ανεξάρτητα:",[16,7461,7462,7465,7466,7469,7470,7473,7474,7477,7478,7481],{},[48,7463,7464],{},"Σημαντική HTML πρώτα."," Χρησιμοποιήστε ",[65,7467,7468],{},"\u003Cbutton>"," για κουμπιά, ",[65,7471,7472],{},"\u003Cnav>"," για πλοήγηση, ",[65,7475,7476],{},"\u003Ctable>"," για δεδομένα πίνακα. Μην χρησιμοποιείτε ",[65,7479,7480],{},"\u003Cdiv onClick={...}>"," όταν ένα σημαντικό στοιχείο ταιριάζει.",[249,7483,7485],{"className":482,"code":7484,"language":484,"meta":254,"style":254},"\u002F\u002F Λάθος: div που μεταμφιέζεται σε κουμπί\n\u003Cdiv className=\"button\" onClick={handleClick}>Submit\u003C\u002Fdiv>\n\n\u002F\u002F Σωστό: πραγματικό στοιχείο button\n\u003Cbutton type=\"button\" onClick={handleClick}>Submit\u003C\u002Fbutton>\n",[65,7486,7487,7492,7517,7521,7526],{"__ignoreMap":254},[258,7488,7489],{"class":260,"line":261},[258,7490,7491],{"class":385},"\u002F\u002F Λάθος: div που μεταμφιέζεται σε κουμπί\n",[258,7493,7494,7496,7498,7500,7502,7505,7508,7510,7513,7515],{"class":260,"line":272},[258,7495,1033],{"class":268},[258,7497,501],{"class":500},[258,7499,504],{"class":264},[258,7501,507],{"class":365},[258,7503,7504],{"class":289},"\"button\"",[258,7506,7507],{"class":264}," onClick",[258,7509,507],{"class":365},[258,7511,7512],{"class":268},"{handleClick}>Submit\u003C\u002F",[258,7514,501],{"class":500},[258,7516,545],{"class":268},[258,7518,7519],{"class":260,"line":280},[258,7520,414],{"emptyLinePlaceholder":413},[258,7522,7523],{"class":260,"line":296},[258,7524,7525],{"class":385},"\u002F\u002F Σωστό: πραγματικό στοιχείο button\n",[258,7527,7528,7530,7532,7535,7537,7539,7541,7543,7545,7547],{"class":260,"line":311},[258,7529,1033],{"class":268},[258,7531,5118],{"class":500},[258,7533,7534],{"class":264}," type",[258,7536,507],{"class":365},[258,7538,7504],{"class":289},[258,7540,7507],{"class":264},[258,7542,507],{"class":365},[258,7544,7512],{"class":268},[258,7546,5118],{"class":500},[258,7548,545],{"class":268},[16,7550,7551,7554,7555,7558],{},[48,7552,7553],{},"Όλες οι εικόνες έχουν alt κείμενο."," Για διακοσμητικές εικόνες: ",[65,7556,7557],{},"alt=\"\"",". Για ενημερωτικές εικόνες, γράψτε μια περιγραφή.",[16,7560,7561,7564,7565,7567,7568,7570],{},[48,7562,7563],{},"Το χρώμα δεν είναι το μόνο σήμα."," Ένα γράφημα που εμφανίζει θετικές τιμές με πράσινο και αρνητικές με κόκκινο χρειάζεται πρόσθετη ένδειξη για χρήστες που δεν διακρίνουν αυτά τα χρώματα — ένα σύμβολο ",[65,7566,1114],{},"\u002F",[65,7569,1283],{},", ένα εικονίδιο ή μια ετικέτα κειμένου.",[249,7572,7574],{"className":482,"code":7573,"language":484,"meta":254,"style":254},"function TrendIndicator({ value }: { value: number }) {\n const isPositive = value >= 0;\n return (\n \u003Cspan\n className={isPositive ? 'text-green-600' : 'text-red-600'}\n aria-label={isPositive ? `Up ${Math.abs(value)}%` : `Down ${Math.abs(value)}%`}\n >\n {\u002F* Το εικονίδιο παρέχει οπτικό σήμα πέρα από το χρώμα *\u002F}\n {isPositive ? '↑' : '↓'} {Math.abs(value)}%\n \u003C\u002Fspan>\n );\n}\n",[65,7575,7576,7602,7619,7625,7632,7652,7704,7709,7718,7741,7749,7753],{"__ignoreMap":254},[258,7577,7578,7580,7583,7585,7588,7590,7592,7594,7596,7598,7600],{"class":260,"line":261},[258,7579,1052],{"class":365},[258,7581,7582],{"class":264}," TrendIndicator",[258,7584,1329],{"class":268},[258,7586,7587],{"class":375},"value",[258,7589,3284],{"class":268},[258,7591,973],{"class":365},[258,7593,3883],{"class":268},[258,7595,7587],{"class":375},[258,7597,973],{"class":365},[258,7599,993],{"class":659},[258,7601,639],{"class":268},[258,7603,7604,7606,7608,7610,7613,7615,7617],{"class":260,"line":272},[258,7605,656],{"class":365},[258,7607,3559],{"class":659},[258,7609,663],{"class":365},[258,7611,7612],{"class":268}," value ",[258,7614,3567],{"class":365},[258,7616,3570],{"class":659},[258,7618,950],{"class":268},[258,7620,7621,7623],{"class":260,"line":280},[258,7622,725],{"class":365},[258,7624,528],{"class":268},[258,7626,7627,7629],{"class":260,"line":296},[258,7628,550],{"class":268},[258,7630,7631],{"class":500},"span\n",[258,7633,7634,7637,7639,7642,7644,7646,7648,7650],{"class":260,"line":311},[258,7635,7636],{"class":264}," className",[258,7638,507],{"class":365},[258,7640,7641],{"class":268},"{isPositive ",[258,7643,3587],{"class":365},[258,7645,3614],{"class":289},[258,7647,3593],{"class":365},[258,7649,3619],{"class":289},[258,7651,466],{"class":268},[258,7653,7654,7657,7659,7661,7663,7666,7669,7671,7674,7676,7678,7680,7683,7685,7688,7690,7692,7694,7696,7698,7700,7702],{"class":260,"line":323},[258,7655,7656],{"class":264}," aria-label",[258,7658,507],{"class":365},[258,7660,7641],{"class":268},[258,7662,3587],{"class":365},[258,7664,7665],{"class":289}," `Up ${",[258,7667,7668],{"class":268},"Math",[258,7670,833],{"class":289},[258,7672,7673],{"class":264},"abs",[258,7675,1058],{"class":289},[258,7677,7587],{"class":268},[258,7679,1079],{"class":289},[258,7681,7682],{"class":289},"}%`",[258,7684,3593],{"class":365},[258,7686,7687],{"class":289}," `Down ${",[258,7689,7668],{"class":268},[258,7691,833],{"class":289},[258,7693,7673],{"class":264},[258,7695,1058],{"class":289},[258,7697,7587],{"class":268},[258,7699,1079],{"class":289},[258,7701,7682],{"class":289},[258,7703,466],{"class":268},[258,7705,7706],{"class":260,"line":351},[258,7707,7708],{"class":268}," >\n",[258,7710,7711,7713,7716],{"class":260,"line":357},[258,7712,5014],{"class":268},[258,7714,7715],{"class":385},"\u002F* Το εικονίδιο παρέχει οπτικό σήμα πέρα από το χρώμα *\u002F",[258,7717,466],{"class":268},[258,7719,7720,7723,7725,7728,7730,7733,7736,7738],{"class":260,"line":382},[258,7721,7722],{"class":268}," {isPositive ",[258,7724,3587],{"class":365},[258,7726,7727],{"class":289}," '↑'",[258,7729,3593],{"class":365},[258,7731,7732],{"class":289}," '↓'",[258,7734,7735],{"class":268},"} {Math.",[258,7737,7673],{"class":264},[258,7739,7740],{"class":268},"(value)}%\n",[258,7742,7743,7745,7747],{"class":260,"line":389},[258,7744,3431],{"class":268},[258,7746,258],{"class":500},[258,7748,545],{"class":268},[258,7750,7751],{"class":260,"line":395},[258,7752,3440],{"class":268},[258,7754,7755],{"class":260,"line":410},[258,7756,466],{"class":268},[16,7758,7759,7762],{},[48,7760,7761],{},"Τα διαδραστικά στοιχεία είναι προσβάσιμα με πληκτρολόγιο."," Κάθε κουμπί, σύνδεσμος και στοιχείο φόρμας στα συστατικά σας πρέπει να λαμβάνει εστίαση και να λειτουργεί πλήρως με πληκτρολόγιο.",[16,7764,7765,7768],{},[48,7766,7767],{},"Αρκετά μεγάλα touch targets."," Το WCAG 2.2, κριτήριο 2.5.8 (Target Size, Minimum, επίπεδο AA) απαιτεί ελάχιστο 24×24 CSS pixels· το παλαιότερο WCAG 2.1, κριτήριο 2.5.5 (AAA), συνιστά 44×44. Για κύριες ενέργειες σε κινητά, στοχεύστε στο AAA — τα μικρά touch targets παραμένουν από τις κύριες αιτίες αποτυχιών προσβασιμότητας.",[11,7770,7772],{"id":7771},"aria-live-regions-για-streaming-περιεχόμενο","ARIA Live Regions για Streaming Περιεχόμενο",[16,7774,7775],{},"Το streaming είναι το χαρακτηριστικό γνώρισμα του Generative UI — τα συστατικά εμφανίζονται σταδιακά καθώς το AI τα παράγει. Τα screen readers δεν ανακοινώνουν αυτόματα περιεχόμενο που εμφανίζεται δυναμικά. Πρέπει να τους το γνωστοποιήσετε ρητά.",[16,7777,7778,7779,7782],{},"Χρησιμοποιήστε ",[65,7780,7781],{},"aria-live"," για να ανακοινώνετε την άφιξη νέου παραγόμενου περιεχομένου:",[249,7784,7786],{"className":482,"code":7785,"language":484,"meta":254,"style":254},"\u002F\u002F components\u002Fgenui-output-region.tsx\nexport function GenUIOutputRegion({ children, isLoading }: {\n children: React.ReactNode;\n isLoading: boolean;\n}) {\n return (\n \u003Cdiv\n aria-live=\"polite\"\n aria-busy={isLoading}\n aria-label=\"AI-generated content\"\n aria-atomic=\"false\"\n >\n {children}\n \u003C\u002Fdiv>\n );\n}\n",[65,7787,7788,7793,7817,7832,7843,7848,7854,7861,7871,7881,7890,7900,7904,7909,7917,7921],{"__ignoreMap":254},[258,7789,7790],{"class":260,"line":261},[258,7791,7792],{"class":385},"\u002F\u002F components\u002Fgenui-output-region.tsx\n",[258,7794,7795,7797,7799,7802,7804,7806,7808,7811,7813,7815],{"class":260,"line":272},[258,7796,1152],{"class":365},[258,7798,1158],{"class":365},[258,7800,7801],{"class":264}," GenUIOutputRegion",[258,7803,1329],{"class":268},[258,7805,5631],{"class":375},[258,7807,633],{"class":268},[258,7809,7810],{"class":375},"isLoading",[258,7812,3284],{"class":268},[258,7814,973],{"class":365},[258,7816,965],{"class":268},[258,7818,7819,7822,7824,7826,7828,7830],{"class":260,"line":280},[258,7820,7821],{"class":375}," children",[258,7823,973],{"class":365},[258,7825,976],{"class":264},[258,7827,833],{"class":268},[258,7829,981],{"class":264},[258,7831,950],{"class":268},[258,7833,7834,7837,7839,7841],{"class":260,"line":296},[258,7835,7836],{"class":375}," isLoading",[258,7838,973],{"class":365},[258,7840,5656],{"class":659},[258,7842,950],{"class":268},[258,7844,7845],{"class":260,"line":311},[258,7846,7847],{"class":268},"}) {\n",[258,7849,7850,7852],{"class":260,"line":323},[258,7851,725],{"class":365},[258,7853,528],{"class":268},[258,7855,7856,7858],{"class":260,"line":351},[258,7857,550],{"class":268},[258,7859,7860],{"class":500},"div\n",[258,7862,7863,7866,7868],{"class":260,"line":357},[258,7864,7865],{"class":264}," aria-live",[258,7867,507],{"class":365},[258,7869,7870],{"class":289},"\"polite\"\n",[258,7872,7873,7876,7878],{"class":260,"line":382},[258,7874,7875],{"class":264}," aria-busy",[258,7877,507],{"class":365},[258,7879,7880],{"class":268},"{isLoading}\n",[258,7882,7883,7885,7887],{"class":260,"line":389},[258,7884,7656],{"class":264},[258,7886,507],{"class":365},[258,7888,7889],{"class":289},"\"AI-generated content\"\n",[258,7891,7892,7895,7897],{"class":260,"line":395},[258,7893,7894],{"class":264}," aria-atomic",[258,7896,507],{"class":365},[258,7898,7899],{"class":289},"\"false\"\n",[258,7901,7902],{"class":260,"line":410},[258,7903,7708],{"class":268},[258,7905,7906],{"class":260,"line":417},[258,7907,7908],{"class":268}," {children}\n",[258,7910,7911,7913,7915],{"class":260,"line":423},[258,7912,3431],{"class":268},[258,7914,501],{"class":500},[258,7916,545],{"class":268},[258,7918,7919],{"class":260,"line":429},[258,7920,3440],{"class":268},[258,7922,7923],{"class":260,"line":451},[258,7924,466],{"class":268},[16,7926,7927],{},"Βασικές επιλογές εδώ:",[2939,7929,7930,7939,7951],{},[45,7931,7932,7935,7936,833],{},[65,7933,7934],{},"aria-live=\"polite\""," ανακοινώνει νέο περιεχόμενο την επόμενη κατάλληλη στιγμή — χωρίς να διακόπτει τον χρήστη όπως θα έκανε το ",[65,7937,7938],{},"assertive",[45,7940,7941,7944,7945,7948,7949,833],{},[65,7942,7943],{},"aria-busy={isLoading}"," ενημερώνει την υποστηρικτική τεχνολογία ότι η περιοχή ενημερώνεται. Τα screen readers αναβάλλουν τις ανακοινώσεις μέχρι το ",[65,7946,7947],{},"aria-busy"," γίνει ",[65,7950,2276],{},[45,7952,7953,7956],{},[65,7954,7955],{},"aria-atomic=\"false\""," ανακοινώνει μεμονωμένες προσθήκες καθώς φτάνουν, αντί να επαναδιαβάζει ολόκληρη την περιοχή σε κάθε αλλαγή.",[16,7958,7959],{},"Για την κατάσταση skeleton φόρτωσης:",[249,7961,7963],{"className":482,"code":7962,"language":484,"meta":254,"style":254},"function LoadingSkeleton({ label }: { label: string }) {\n return (\n \u003Cdiv\n role=\"status\"\n aria-label={`Loading ${label}`}\n className=\"animate-pulse rounded-lg bg-muted h-32\"\n \u002F>\n );\n}\n",[65,7964,7965,7991,7997,8003,8013,8030,8039,8044,8048],{"__ignoreMap":254},[258,7966,7967,7969,7972,7974,7977,7979,7981,7983,7985,7987,7989],{"class":260,"line":261},[258,7968,1052],{"class":365},[258,7970,7971],{"class":264}," LoadingSkeleton",[258,7973,1329],{"class":268},[258,7975,7976],{"class":375},"label",[258,7978,3284],{"class":268},[258,7980,973],{"class":365},[258,7982,3883],{"class":268},[258,7984,7976],{"class":375},[258,7986,973],{"class":365},[258,7988,1066],{"class":659},[258,7990,639],{"class":268},[258,7992,7993,7995],{"class":260,"line":272},[258,7994,725],{"class":365},[258,7996,528],{"class":268},[258,7998,7999,8001],{"class":260,"line":280},[258,8000,550],{"class":268},[258,8002,7860],{"class":500},[258,8004,8005,8008,8010],{"class":260,"line":296},[258,8006,8007],{"class":264}," role",[258,8009,507],{"class":365},[258,8011,8012],{"class":289},"\"status\"\n",[258,8014,8015,8017,8019,8021,8024,8026,8028],{"class":260,"line":311},[258,8016,7656],{"class":264},[258,8018,507],{"class":365},[258,8020,3693],{"class":268},[258,8022,8023],{"class":289},"`Loading ${",[258,8025,7976],{"class":268},[258,8027,3702],{"class":289},[258,8029,466],{"class":268},[258,8031,8032,8034,8036],{"class":260,"line":323},[258,8033,7636],{"class":264},[258,8035,507],{"class":365},[258,8037,8038],{"class":289},"\"animate-pulse rounded-lg bg-muted h-32\"\n",[258,8040,8041],{"class":260,"line":351},[258,8042,8043],{"class":268}," \u002F>\n",[258,8045,8046],{"class":260,"line":357},[258,8047,3440],{"class":268},[258,8049,8050],{"class":260,"line":382},[258,8051,466],{"class":268},[16,8053,5555,8054,8057,8058,8060],{},[65,8055,8056],{},"role=\"status\""," είναι μια έμμεση περιοχή ",[65,8059,7934],{}," για σύντομα μηνύματα κατάστασης. Ανακοινώνει την εμφάνισή του χωρίς να διακόπτει την τρέχουσα ομιλία.",[11,8062,8064],{"id":8063},"διαχείριση-εστίασης","Διαχείριση Εστίασης",[16,8066,8067],{},"Όταν εμφανίζεται παραγόμενο περιεχόμενο, η εστίαση πληκτρολογίου παραμένει εκεί που ήταν. Συνήθως αυτό είναι σωστό — δεν θέλετε η εστίαση να πηδά καθώς το AI στέλνει streaming συστατικά. Αλλά σε ορισμένα σενάρια, χρειάζεται να μετακινήσετε ρητά την εστίαση.",[16,8069,8070],{},[48,8071,8072],{},"Μετά από υποβολή φόρμας που αντικαθιστά το περιεχόμενο της σελίδας:",[249,8074,8076],{"className":482,"code":8075,"language":484,"meta":254,"style":254},"const outputRef = useRef\u003CHTMLDivElement>(null);\nconst [generatedUI, setGeneratedUI] = useState\u003CReact.ReactNode>(null);\n\nasync function handleSubmit(e: React.FormEvent) {\n e.preventDefault();\n const ui = await generateUI(prompt);\n setGeneratedUI(ui);\n}\n\n\u002F\u002F Μετακινούμε εστίαση ΑΦΟΥ το React έχει δεσμεύσει το νέο DOM — ποτέ με setTimeout.\nuseEffect(() => {\n if (generatedUI) {\n outputRef.current?.focus();\n }\n}, [generatedUI]);\n\n\u002F\u002F tabIndex={-1} κάνει το div εστιάσιμο μέσω προγράμματος\n\u003Cdiv ref={outputRef} tabIndex={-1} aria-label=\"Generated results\">\n {generatedUI}\n\u003C\u002Fdiv>\n",[65,8077,8078,8101,8135,8139,8161,8169,8183,8190,8194,8198,8203,8214,8221,8231,8235,8240,8244,8249,8287,8292],{"__ignoreMap":254},[258,8079,8080,8082,8085,8087,8090,8092,8095,8097,8099],{"class":260,"line":261},[258,8081,1019],{"class":365},[258,8083,8084],{"class":659}," outputRef",[258,8086,663],{"class":365},[258,8088,8089],{"class":264}," useRef",[258,8091,1033],{"class":268},[258,8093,8094],{"class":264},"HTMLDivElement",[258,8096,1816],{"class":268},[258,8098,1819],{"class":659},[258,8100,591],{"class":268},[258,8102,8103,8105,8107,8110,8112,8115,8117,8119,8121,8123,8125,8127,8129,8131,8133],{"class":260,"line":272},[258,8104,1019],{"class":365},[258,8106,810],{"class":268},[258,8108,8109],{"class":659},"generatedUI",[258,8111,633],{"class":268},[258,8113,8114],{"class":659},"setGeneratedUI",[258,8116,823],{"class":268},[258,8118,507],{"class":365},[258,8120,1804],{"class":264},[258,8122,1033],{"class":268},[258,8124,1809],{"class":264},[258,8126,833],{"class":268},[258,8128,981],{"class":264},[258,8130,1816],{"class":268},[258,8132,1819],{"class":659},[258,8134,591],{"class":268},[258,8136,8137],{"class":260,"line":280},[258,8138,414],{"emptyLinePlaceholder":413},[258,8140,8141,8143,8145,8147,8149,8151,8153,8155,8157,8159],{"class":260,"line":296},[258,8142,366],{"class":365},[258,8144,1158],{"class":365},[258,8146,2129],{"class":264},[258,8148,1058],{"class":268},[258,8150,2134],{"class":375},[258,8152,973],{"class":365},[258,8154,976],{"class":264},[258,8156,833],{"class":268},[258,8158,2143],{"class":264},[258,8160,379],{"class":268},[258,8162,8163,8165,8167],{"class":260,"line":311},[258,8164,2150],{"class":268},[258,8166,2153],{"class":264},[258,8168,2156],{"class":268},[258,8170,8171,8173,8175,8177,8179,8181],{"class":260,"line":323},[258,8172,656],{"class":365},[258,8174,4889],{"class":659},[258,8176,663],{"class":365},[258,8178,666],{"class":365},[258,8180,2022],{"class":264},[258,8182,2025],{"class":268},[258,8184,8185,8188],{"class":260,"line":351},[258,8186,8187],{"class":264}," setGeneratedUI",[258,8189,2266],{"class":268},[258,8191,8192],{"class":260,"line":357},[258,8193,466],{"class":268},[258,8195,8196],{"class":260,"line":382},[258,8197,414],{"emptyLinePlaceholder":413},[258,8199,8200],{"class":260,"line":389},[258,8201,8202],{"class":385},"\u002F\u002F Μετακινούμε εστίαση ΑΦΟΥ το React έχει δεσμεύσει το νέο DOM — ποτέ με setTimeout.\n",[258,8204,8205,8208,8210,8212],{"class":260,"line":395},[258,8206,8207],{"class":264},"useEffect",[258,8209,1733],{"class":268},[258,8211,1598],{"class":365},[258,8213,965],{"class":268},[258,8215,8216,8218],{"class":260,"line":410},[258,8217,1265],{"class":365},[258,8219,8220],{"class":268}," (generatedUI) {\n",[258,8222,8223,8226,8229],{"class":260,"line":417},[258,8224,8225],{"class":268}," outputRef.current?.",[258,8227,8228],{"class":264},"focus",[258,8230,2156],{"class":268},[258,8232,8233],{"class":260,"line":423},[258,8234,1306],{"class":268},[258,8236,8237],{"class":260,"line":429},[258,8238,8239],{"class":268},"}, [generatedUI]);\n",[258,8241,8242],{"class":260,"line":451},[258,8243,414],{"emptyLinePlaceholder":413},[258,8245,8246],{"class":260,"line":457},[258,8247,8248],{"class":385},"\u002F\u002F tabIndex={-1} κάνει το div εστιάσιμο μέσω προγράμματος\n",[258,8250,8251,8253,8255,8258,8260,8263,8266,8268,8270,8272,8275,8277,8280,8282,8285],{"class":260,"line":463},[258,8252,1033],{"class":268},[258,8254,501],{"class":500},[258,8256,8257],{"class":264}," ref",[258,8259,507],{"class":365},[258,8261,8262],{"class":268},"{outputRef} ",[258,8264,8265],{"class":264},"tabIndex",[258,8267,507],{"class":365},[258,8269,3693],{"class":268},[258,8271,1283],{"class":365},[258,8273,8274],{"class":659},"1",[258,8276,741],{"class":268},[258,8278,8279],{"class":264},"aria-label",[258,8281,507],{"class":365},[258,8283,8284],{"class":289},"\"Generated results\"",[258,8286,545],{"class":268},[258,8288,8289],{"class":260,"line":870},[258,8290,8291],{"class":268}," {generatedUI}\n",[258,8293,8294,8297,8299],{"class":260,"line":876},[258,8295,8296],{"class":268},"\u003C\u002F",[258,8298,501],{"class":500},[258,8300,545],{"class":268},[16,8302,5555,8303,8306,8307,833],{},[65,8304,8305],{},"tabIndex={-1}"," κάνει το στοιχείο εστιάσιμο μέσω προγράμματος χωρίς να το προσθέτει στη σειρά Tab. Ο χρήστης μπορεί να το παρακάμψει φυσικά με Tab, αλλά εσείς μπορείτε να το εστιάσετε μέσω ",[65,8308,8309],{},".focus()",[16,8311,8312,8313,8316,8317,8319,8320,8322,8323,8326,8327,8330],{},"Αποφύγετε το συνηθισμένο αντιπρότυπο ",[65,8314,8315],{},"setTimeout(() => ref.current?.focus(), 50)",". Τα 50ms είναι εκτίμηση· αν η απόδοση διαρκεί περισσότερο σε αργή συσκευή, η κλήση ",[65,8318,8309],{}," θα απευθυνθεί σε παρωχημένο ή ανύπαρκτο στοιχείο. Το ",[65,8321,8207],{}," εκτελείται ",[20,8324,8325],{},"αφού"," το React έχει δεσμεύσει το νέο DOM — ακριβώς η εγγύηση που χρειάζεστε. Αν πρέπει να καθυστερήσετε κατά ένα tick ακόμη (π.χ. περιμένετε portal παιδί), χρησιμοποιήστε ",[65,8328,8329],{},"queueMicrotask",", αλλά ποτέ timeout με μαγικό αριθμό.",[16,8332,8333],{},[48,8334,8335],{},"Αφού ανοίξει dialog ή panel με παραγόμενο περιεχόμενο:",[16,8337,8338],{},"Μετακινήστε εστίαση στο πρώτο εστιάσιμο στοιχείο μέσα στον πίνακα ή στον τίτλο του. Επιστρέψτε την εστίαση στο στοιχείο που τον άνοιξε όταν κλείσει ο πίνακας.",[11,8340,8342],{"id":8341},"πλοήγηση-με-πληκτρολόγιο-στα-παραγόμενα-συστατικά","Πλοήγηση με Πληκτρολόγιο στα Παραγόμενα Συστατικά",[16,8344,8345],{},"Τα συστατικά που εμφανίζονται σε παραγόμενες διατάξεις πρέπει να είναι πλήρως πλοηγήσιμα με πληκτρολόγιο. Ελέγξτε κάθε συστατικό:",[16,8347,8348,8351,8352,8355],{},[48,8349,8350],{},"Πίνακες:"," Οι χρήστες screen reader αναμένουν πλοήγηση με βελάκια σε κελιά πίνακα. Αν το συστατικό ",[65,8353,8354],{},"DataTable"," δεν υλοποιεί αυτό, οι σύνθετοι πίνακες γίνονται εμπόδιο για πλοήγηση με πληκτρολόγιο.",[16,8357,8358,8361,8362,8365],{},[48,8359,8360],{},"Γραφήματα:"," Παρέχετε εναλλακτικό πίνακα. Τα SVG γραφήματα είναι οπτικά πλούσια αλλά σχεδόν ακατανόητα για screen readers. Προσθέστε στοιχείο ",[65,8363,8364],{},"\u003Cdetails>"," ή οπτικά κρυμμένο πίνακα με τα δεδομένα του γραφήματος.",[249,8367,8369],{"className":482,"code":8368,"language":484,"meta":254,"style":254},"function BarChart({ title, data }: BarChartProps) {\n return (\n \u003Cdiv>\n \u003Ch3>{title}\u003C\u002Fh3>\n {\u002F* Οπτικό γράφημα *\u002F}\n \u003Csvg aria-hidden=\"true\">\n {\u002F* ... απόδοση γραφήματος ... *\u002F}\n \u003C\u002Fsvg>\n {\u002F* Προσβάσιμος πίνακας δεδομένων, κρυμμένος οπτικά *\u002F}\n \u003Cdetails className=\"sr-only\">\n \u003Csummary>View data as table\u003C\u002Fsummary>\n \u003Ctable>\n \u003Ccaption>{title}\u003C\u002Fcaption>\n \u003Cthead>\n \u003Ctr>\u003Cth>Category\u003C\u002Fth>\u003Cth>Value\u003C\u002Fth>\u003C\u002Ftr>\n \u003C\u002Fthead>\n \u003Ctbody>\n {data.map(({ label, value }) => (\n \u003Ctr key={label}>\n \u003Ctd>{label}\u003C\u002Ftd>\n \u003Ctd>{value}\u003C\u002Ftd>\n \u003C\u002Ftr>\n ))}\n \u003C\u002Ftbody>\n \u003C\u002Ftable>\n \u003C\u002Fdetails>\n \u003C\u002Fdiv>\n );\n}\n",[65,8370,8371,8397,8403,8411,8424,8433,8450,8459,8467,8476,8492,8506,8514,8527,8535,8567,8575,8583,8605,8619,8633,8646,8655,8660,8668,8676,8684,8692,8696],{"__ignoreMap":254},[258,8372,8373,8375,8378,8380,8383,8385,8388,8390,8392,8395],{"class":260,"line":261},[258,8374,1052],{"class":365},[258,8376,8377],{"class":264}," BarChart",[258,8379,1329],{"class":268},[258,8381,8382],{"class":375},"title",[258,8384,633],{"class":268},[258,8386,8387],{"class":375},"data",[258,8389,3284],{"class":268},[258,8391,973],{"class":365},[258,8393,8394],{"class":264}," BarChartProps",[258,8396,379],{"class":268},[258,8398,8399,8401],{"class":260,"line":272},[258,8400,725],{"class":365},[258,8402,528],{"class":268},[258,8404,8405,8407,8409],{"class":260,"line":280},[258,8406,550],{"class":268},[258,8408,501],{"class":500},[258,8410,545],{"class":268},[258,8412,8413,8415,8417,8420,8422],{"class":260,"line":296},[258,8414,3316],{"class":268},[258,8416,3319],{"class":500},[258,8418,8419],{"class":268},">{title}\u003C\u002F",[258,8421,3319],{"class":500},[258,8423,545],{"class":268},[258,8425,8426,8428,8431],{"class":260,"line":311},[258,8427,5014],{"class":268},[258,8429,8430],{"class":385},"\u002F* Οπτικό γράφημα *\u002F",[258,8432,466],{"class":268},[258,8434,8435,8437,8440,8443,8445,8448],{"class":260,"line":323},[258,8436,3316],{"class":268},[258,8438,8439],{"class":500},"svg",[258,8441,8442],{"class":264}," aria-hidden",[258,8444,507],{"class":365},[258,8446,8447],{"class":289},"\"true\"",[258,8449,545],{"class":268},[258,8451,8452,8454,8457],{"class":260,"line":351},[258,8453,5039],{"class":268},[258,8455,8456],{"class":385},"\u002F* ... απόδοση γραφήματος ... *\u002F",[258,8458,466],{"class":268},[258,8460,8461,8463,8465],{"class":260,"line":357},[258,8462,3394],{"class":268},[258,8464,8439],{"class":500},[258,8466,545],{"class":268},[258,8468,8469,8471,8474],{"class":260,"line":382},[258,8470,5014],{"class":268},[258,8472,8473],{"class":385},"\u002F* Προσβάσιμος πίνακας δεδομένων, κρυμμένος οπτικά *\u002F",[258,8475,466],{"class":268},[258,8477,8478,8480,8483,8485,8487,8490],{"class":260,"line":389},[258,8479,3316],{"class":268},[258,8481,8482],{"class":500},"details",[258,8484,504],{"class":264},[258,8486,507],{"class":365},[258,8488,8489],{"class":289},"\"sr-only\"",[258,8491,545],{"class":268},[258,8493,8494,8496,8499,8502,8504],{"class":260,"line":395},[258,8495,3353],{"class":268},[258,8497,8498],{"class":500},"summary",[258,8500,8501],{"class":268},">View data as table\u003C\u002F",[258,8503,8498],{"class":500},[258,8505,545],{"class":268},[258,8507,8508,8510,8512],{"class":260,"line":410},[258,8509,3353],{"class":268},[258,8511,80],{"class":500},[258,8513,545],{"class":268},[258,8515,8516,8518,8521,8523,8525],{"class":260,"line":417},[258,8517,5059],{"class":268},[258,8519,8520],{"class":500},"caption",[258,8522,8419],{"class":268},[258,8524,8520],{"class":500},[258,8526,545],{"class":268},[258,8528,8529,8531,8533],{"class":260,"line":423},[258,8530,5059],{"class":268},[258,8532,83],{"class":500},[258,8534,545],{"class":268},[258,8536,8537,8539,8541,8544,8546,8549,8551,8553,8555,8558,8560,8563,8565],{"class":260,"line":429},[258,8538,5407],{"class":268},[258,8540,86],{"class":500},[258,8542,8543],{"class":268},">\u003C",[258,8545,89],{"class":500},[258,8547,8548],{"class":268},">Category\u003C\u002F",[258,8550,89],{"class":500},[258,8552,8543],{"class":268},[258,8554,89],{"class":500},[258,8556,8557],{"class":268},">Value\u003C\u002F",[258,8559,89],{"class":500},[258,8561,8562],{"class":268},">\u003C\u002F",[258,8564,86],{"class":500},[258,8566,545],{"class":268},[258,8568,8569,8571,8573],{"class":260,"line":451},[258,8570,5115],{"class":268},[258,8572,83],{"class":500},[258,8574,545],{"class":268},[258,8576,8577,8579,8581],{"class":260,"line":457},[258,8578,5059],{"class":268},[258,8580,105],{"class":500},[258,8582,545],{"class":268},[258,8584,8585,8588,8590,8593,8595,8597,8599,8601,8603],{"class":260,"line":463},[258,8586,8587],{"class":268}," {data.",[258,8589,2458],{"class":264},[258,8591,8592],{"class":268},"(({ ",[258,8594,7976],{"class":375},[258,8596,633],{"class":268},[258,8598,7587],{"class":375},[258,8600,2373],{"class":268},[258,8602,1598],{"class":365},[258,8604,528],{"class":268},[258,8606,8607,8610,8612,8614,8616],{"class":260,"line":870},[258,8608,8609],{"class":268}," \u003C",[258,8611,86],{"class":500},[258,8613,1228],{"class":264},[258,8615,507],{"class":365},[258,8617,8618],{"class":268},"{label}>\n",[258,8620,8621,8624,8626,8629,8631],{"class":260,"line":876},[258,8622,8623],{"class":268}," \u003C",[258,8625,110],{"class":500},[258,8627,8628],{"class":268},">{label}\u003C\u002F",[258,8630,110],{"class":500},[258,8632,545],{"class":268},[258,8634,8635,8637,8639,8642,8644],{"class":260,"line":909},[258,8636,8623],{"class":268},[258,8638,110],{"class":500},[258,8640,8641],{"class":268},">{value}\u003C\u002F",[258,8643,110],{"class":500},[258,8645,545],{"class":268},[258,8647,8648,8651,8653],{"class":260,"line":1223},[258,8649,8650],{"class":268}," \u003C\u002F",[258,8652,86],{"class":500},[258,8654,545],{"class":268},[258,8656,8657],{"class":260,"line":1238},[258,8658,8659],{"class":268}," ))}\n",[258,8661,8662,8664,8666],{"class":260,"line":1257},[258,8663,5115],{"class":268},[258,8665,105],{"class":500},[258,8667,545],{"class":268},[258,8669,8670,8672,8674],{"class":260,"line":1262},[258,8671,3725],{"class":268},[258,8673,80],{"class":500},[258,8675,545],{"class":268},[258,8677,8678,8680,8682],{"class":260,"line":1294},[258,8679,3394],{"class":268},[258,8681,8482],{"class":500},[258,8683,545],{"class":268},[258,8685,8686,8688,8690],{"class":260,"line":1303},[258,8687,3431],{"class":268},[258,8689,501],{"class":500},[258,8691,545],{"class":268},[258,8693,8694],{"class":260,"line":1309},[258,8695,3440],{"class":268},[258,8697,8698],{"class":260,"line":1314},[258,8699,466],{"class":268},[16,8701,8702,8703,8706,8707,8710],{},"Η κλάση ",[65,8704,8705],{},"sr-only"," αποκρύπτει τον πίνακα οπτικά διατηρώντας τον στο δέντρο προσβασιμότητας. Το ",[65,8708,8709],{},"aria-hidden=\"true\""," στο SVG εμποδίζει τα screen readers από το να προσπαθούν να ερμηνεύσουν το ακατέργαστο SVG markup.",[11,8712,8714],{"id":8713},"μειωμένη-κίνηση","Μειωμένη Κίνηση",[16,8716,8717],{},"Ορισμένοι χρήστες ρυθμίζουν το λειτουργικό τους σύστημα ώστε να προτιμά μειωμένη κίνηση — επειδή τα animations προκαλούν σωματική δυσφορία σε άτομα με αιθουσαία διαταραχή. Τα skeletons φόρτωσης και τα animated transitions πρέπει να σέβονται αυτή την προτίμηση.",[249,8719,8723],{"className":8720,"code":8721,"language":8722,"meta":254,"style":254},"language-css shiki shiki-themes github-light github-dark","\u002F* Στο global CSS ή στη ρύθμιση Tailwind *\u002F\n@media (prefers-reduced-motion: reduce) {\n .animate-pulse {\n animation: none;\n }\n\n .transition-all {\n transition: none;\n }\n}\n","css",[65,8724,8725,8730,8738,8745,8757,8761,8765,8772,8783,8787],{"__ignoreMap":254},[258,8726,8727],{"class":260,"line":261},[258,8728,8729],{"class":385},"\u002F* Στο global CSS ή στη ρύθμιση Tailwind *\u002F\n",[258,8731,8732,8735],{"class":260,"line":272},[258,8733,8734],{"class":365},"@media",[258,8736,8737],{"class":268}," (prefers-reduced-motion: reduce) {\n",[258,8739,8740,8743],{"class":260,"line":280},[258,8741,8742],{"class":264}," .animate-pulse",[258,8744,965],{"class":268},[258,8746,8747,8750,8752,8755],{"class":260,"line":296},[258,8748,8749],{"class":659}," animation",[258,8751,286],{"class":268},[258,8753,8754],{"class":659},"none",[258,8756,950],{"class":268},[258,8758,8759],{"class":260,"line":311},[258,8760,1306],{"class":268},[258,8762,8763],{"class":260,"line":323},[258,8764,414],{"emptyLinePlaceholder":413},[258,8766,8767,8770],{"class":260,"line":351},[258,8768,8769],{"class":264}," .transition-all",[258,8771,965],{"class":268},[258,8773,8774,8777,8779,8781],{"class":260,"line":357},[258,8775,8776],{"class":659}," transition",[258,8778,286],{"class":268},[258,8780,8754],{"class":659},[258,8782,950],{"class":268},[258,8784,8785],{"class":260,"line":382},[258,8786,1306],{"class":268},[258,8788,8789],{"class":260,"line":389},[258,8790,466],{"class":268},[16,8792,8793,8794,6929,8797,973],{},"Στο Tailwind μπορείτε να χρησιμοποιήσετε τις παραλλαγές ",[65,8795,8796],{},"motion-safe:",[65,8798,8799],{},"motion-reduce:",[249,8801,8803],{"className":482,"code":8802,"language":484,"meta":254,"style":254},"\u003Cdiv className=\"motion-safe:animate-pulse motion-reduce:opacity-50 bg-muted rounded-lg h-32\" \u002F>\n",[65,8804,8805],{"__ignoreMap":254},[258,8806,8807,8809,8811,8813,8815,8818],{"class":260,"line":261},[258,8808,1033],{"class":268},[258,8810,501],{"class":500},[258,8812,504],{"class":264},[258,8814,507],{"class":365},[258,8816,8817],{"class":289},"\"motion-safe:animate-pulse motion-reduce:opacity-50 bg-muted rounded-lg h-32\"",[258,8819,562],{"class":268},[16,8821,5555,8822,8824,8825,8827],{},[65,8823,8796],{}," εφαρμόζεται μόνο όταν ο χρήστης δεν έχει ζητήσει μειωμένη κίνηση. Το ",[65,8826,8799],{}," — όταν έχει. Για καταστάσεις φόρτωσης, ένα στατικό ελαφρώς αμυδρό placeholder είναι καλή εναλλακτική στο pulsing animation με ενεργοποιημένη τη μειωμένη κίνηση.",[11,8829,8831],{"id":8830},"ιεραρχία-επικεφαλίδων-σε-συντεθειμένες-διατάξεις","Ιεραρχία Επικεφαλίδων σε Συντεθειμένες Διατάξεις",[16,8833,8834],{},"Το AI συνθέτει συστατικά σε διατάξεις. Κάθε συστατικό μπορεί να έχει τις δικές του επικεφαλίδες. Όταν πολλά συστατικά εμφανίζονται μαζί, οι επικεφαλίδες τους πρέπει να σχηματίζουν μια συνεκτική ιεραρχία — όχι ένα πλήθος ασύνδετων H2.",[16,8836,8837],{},"Αυτό είναι πρόβλημα σύνθεσης που δεν μπορεί να λυθεί σε επίπεδο μεμονωμένου συστατικού. Κάθε συστατικό πρέπει να δέχεται prop επιπέδου επικεφαλίδας:",[249,8839,8841],{"className":482,"code":8840,"language":484,"meta":254,"style":254},"interface MetricCardProps {\n label: string;\n value: string;\n change: number;\n headingLevel?: 'h2' | 'h3' | 'h4'; \u002F\u002F προεπιλογή h3\n}\n\nfunction MetricCard({ label, value, change, headingLevel: Heading = 'h3' }: MetricCardProps) {\n return (\n \u003Cdiv className=\"rounded-lg border p-6\">\n \u003CHeading className=\"text-sm font-medium text-muted-foreground\">{label}\u003C\u002FHeading>\n {\u002F* ... *\u002F}\n \u003C\u002Fdiv>\n );\n}\n",[65,8842,8843,8852,8863,8873,8883,8909,8913,8917,8958,8964,8979,8998,9006,9014,9018],{"__ignoreMap":254},[258,8844,8845,8847,8850],{"class":260,"line":261},[258,8846,959],{"class":365},[258,8848,8849],{"class":264}," MetricCardProps",[258,8851,965],{"class":268},[258,8853,8854,8857,8859,8861],{"class":260,"line":272},[258,8855,8856],{"class":375}," label",[258,8858,973],{"class":365},[258,8860,1066],{"class":659},[258,8862,950],{"class":268},[258,8864,8865,8867,8869,8871],{"class":260,"line":280},[258,8866,970],{"class":375},[258,8868,973],{"class":365},[258,8870,1066],{"class":659},[258,8872,950],{"class":268},[258,8874,8875,8877,8879,8881],{"class":260,"line":296},[258,8876,3490],{"class":375},[258,8878,973],{"class":365},[258,8880,993],{"class":659},[258,8882,950],{"class":268},[258,8884,8885,8888,8890,8893,8895,8898,8900,8903,8906],{"class":260,"line":311},[258,8886,8887],{"class":375}," headingLevel",[258,8889,3888],{"class":365},[258,8891,8892],{"class":289}," 'h2'",[258,8894,5669],{"class":365},[258,8896,8897],{"class":289}," 'h3'",[258,8899,5669],{"class":365},[258,8901,8902],{"class":289}," 'h4'",[258,8904,8905],{"class":268},"; ",[258,8907,8908],{"class":385},"\u002F\u002F προεπιλογή h3\n",[258,8910,8911],{"class":260,"line":323},[258,8912,466],{"class":268},[258,8914,8915],{"class":260,"line":351},[258,8916,414],{"emptyLinePlaceholder":413},[258,8918,8919,8921,8924,8926,8928,8930,8932,8934,8936,8938,8941,8943,8946,8948,8950,8952,8954,8956],{"class":260,"line":357},[258,8920,1052],{"class":365},[258,8922,8923],{"class":264}," MetricCard",[258,8925,1329],{"class":268},[258,8927,7976],{"class":375},[258,8929,633],{"class":268},[258,8931,7587],{"class":375},[258,8933,633],{"class":268},[258,8935,3539],{"class":375},[258,8937,633],{"class":268},[258,8939,8940],{"class":375},"headingLevel",[258,8942,286],{"class":268},[258,8944,8945],{"class":375},"Heading",[258,8947,663],{"class":365},[258,8949,8897],{"class":289},[258,8951,3284],{"class":268},[258,8953,973],{"class":365},[258,8955,8849],{"class":264},[258,8957,379],{"class":268},[258,8959,8960,8962],{"class":260,"line":382},[258,8961,725],{"class":365},[258,8963,528],{"class":268},[258,8965,8966,8968,8970,8972,8974,8977],{"class":260,"line":389},[258,8967,550],{"class":268},[258,8969,501],{"class":500},[258,8971,504],{"class":264},[258,8973,507],{"class":365},[258,8975,8976],{"class":289},"\"rounded-lg border p-6\"",[258,8978,545],{"class":268},[258,8980,8981,8983,8985,8987,8989,8992,8994,8996],{"class":260,"line":395},[258,8982,3316],{"class":268},[258,8984,8945],{"class":659},[258,8986,504],{"class":264},[258,8988,507],{"class":365},[258,8990,8991],{"class":289},"\"text-sm font-medium text-muted-foreground\"",[258,8993,8628],{"class":268},[258,8995,8945],{"class":659},[258,8997,545],{"class":268},[258,8999,9000,9002,9004],{"class":260,"line":410},[258,9001,5014],{"class":268},[258,9003,1332],{"class":385},[258,9005,466],{"class":268},[258,9007,9008,9010,9012],{"class":260,"line":417},[258,9009,3431],{"class":268},[258,9011,501],{"class":500},[258,9013,545],{"class":268},[258,9015,9016],{"class":260,"line":423},[258,9017,3440],{"class":268},[258,9019,9020],{"class":260,"line":429},[258,9021,466],{"class":268},[16,9023,9024],{},"Στον ορισμό του εργαλείου, συμπεριλάβετε το επίπεδο επικεφαλίδας ως παράμετρο που μπορεί να ορίσει το AI:",[249,9026,9028],{"className":251,"code":9027,"language":253,"meta":254,"style":254},"metricCard: {\n description: 'Display a KPI metric. Use headingLevel h2 for the first metric in a section, h3 for subsequent metrics.',\n parameters: z.object({\n label: z.string(),\n value: z.string(),\n change: z.number(),\n headingLevel: z.enum(['h2', 'h3', 'h4']).default('h3'),\n }),\n}\n",[65,9029,9030,9037,9049,9060,9069,9078,9087,9123,9128],{"__ignoreMap":254},[258,9031,9032,9035],{"class":260,"line":261},[258,9033,9034],{"class":264},"metricCard",[258,9036,269],{"class":268},[258,9038,9039,9042,9044,9047],{"class":260,"line":272},[258,9040,9041],{"class":264}," description",[258,9043,286],{"class":268},[258,9045,9046],{"class":289},"'Display a KPI metric. Use headingLevel h2 for the first metric in a section, h3 for subsequent metrics.'",[258,9048,293],{"class":268},[258,9050,9051,9054,9056,9058],{"class":260,"line":280},[258,9052,9053],{"class":264}," parameters",[258,9055,302],{"class":268},[258,9057,305],{"class":264},[258,9059,308],{"class":268},[258,9061,9062,9065,9067],{"class":260,"line":296},[258,9063,9064],{"class":268}," label: z.",[258,9066,317],{"class":264},[258,9068,320],{"class":268},[258,9070,9071,9074,9076],{"class":260,"line":311},[258,9072,9073],{"class":268}," value: z.",[258,9075,317],{"class":264},[258,9077,320],{"class":268},[258,9079,9080,9083,9085],{"class":260,"line":323},[258,9081,9082],{"class":268}," change: z.",[258,9084,345],{"class":264},[258,9086,320],{"class":268},[258,9088,9089,9092,9095,9098,9101,9103,9106,9108,9111,9114,9117,9119,9121],{"class":260,"line":351},[258,9090,9091],{"class":268}," headingLevel: z.",[258,9093,9094],{"class":264},"enum",[258,9096,9097],{"class":268},"([",[258,9099,9100],{"class":289},"'h2'",[258,9102,633],{"class":268},[258,9104,9105],{"class":289},"'h3'",[258,9107,633],{"class":268},[258,9109,9110],{"class":289},"'h4'",[258,9112,9113],{"class":268},"]).",[258,9115,9116],{"class":264},"default",[258,9118,1058],{"class":268},[258,9120,9105],{"class":289},[258,9122,1609],{"class":268},[258,9124,9125],{"class":260,"line":357},[258,9126,9127],{"class":268}," }),\n",[258,9129,9130],{"class":260,"line":382},[258,9131,466],{"class":268},[11,9133,9135],{"id":9134},"συνδυαστικά-προβλήματα-προσβασιμότητας","Συνδυαστικά Προβλήματα Προσβασιμότητας",[16,9137,9138,9139,9142],{},"Το μοντέλο «προσβάσιμο συστατικό → προσβάσιμη σύνθεση» έχει ένα σκληρό όριο: δύο συστατικά που περνούν το axe ξεχωριστά μπορούν, όταν αποδίδονται δίπλα-δίπλα, να παραβιάζουν μαζί το WCAG. Αυτά είναι σφάλματα που ",[20,9140,9141],{},"υπάρχουν μόνο"," σε γεννητικά συστήματα και δεν θα εμφανιστούν σε κανένα per-component test.",[16,9144,9145,9148],{},[48,9146,9147],{},"Κατάρρευση ιεραρχίας επικεφαλίδων."," Το συστατικό Α αποδίδει H2. Το συστατικό Β επίσης αποδίδει H2. Το AI τα τοποθετεί δίπλα-δίπλα σε ένα grid καρτών. Αποτέλεσμα: το screen reader αναφέρει δύο ισοδύναμες ενότητες που έπρεπε να είναι H3 παιδιά ενός γονικού H2. Αντιμετώπιση: παραμετροποίηση επιπέδων επικεφαλίδων (προηγούμενη ενότητα) και integration test που διατρέχει το δέντρο και ελέγχει τη μονοτονία επιπέδων.",[16,9150,9151,6939,9154,9157,9158,9161,9162,9164,9165,9168],{},[48,9152,9153],{},"Συγκρούσεις ιεραρχίας ARIA.",[65,9155,9156],{},"Dialog"," ορίζει ",[65,9159,9160],{},"aria-modal=\"true\"",". Το AI εμφωλεύει μέσα του άλλο ",[65,9163,9156],{}," (στο μοντέλο ανατέθηκε να αποδώσει επιβεβαίωση μέσα σε panel). Στη στοίβα υπάρχουν δύο modal — η συμπεριφορά υποστηρικτικής τεχνολογίας δεν ορίζεται. Αντιμετώπιση: εντοπισμός εμφωλευμένων ",[65,9166,9167],{},"aria-modal"," κατά την απόδοση, άρνηση αποτύπωσης του εσωτερικού dialog και καταγραφή προειδοποίησης σε dev.",[16,9170,9171,9174,9175,9178,9179,9182,9183,9185],{},[48,9172,9173],{},"Διπλές ετικέτες."," Δύο συστατικά ",[65,9176,9177],{},"SearchInput"," στην ίδια παραγόμενη σελίδα αποδίδουν ",[65,9180,9181],{},"\u003Clabel>Search\u003C\u002Flabel>",". Και οι δύο inputs έχουν το ίδιο accessible name — ο χρήστης screen reader δεν μπορεί να τα διακρίνει. Αντιμετώπιση: το prop ",[65,9184,7976],{}," να γίνει υποχρεωτικό (χωρίς default τιμές) και στο prompt για το AI να απαιτείται ρητά ξεχωριστό όνομα για κάθε instance.",[16,9187,9188,9191,9192,9194,9195,9197],{},[48,9189,9190],{},"Συσσώρευση live regions."," Τρία streaming υπο-συστατικά τυλίγουν το καθένα τον εαυτό του σε ",[65,9193,7934],{},". Το screen reader ουρά τρεις επικαλυπτόμενες ανακοινώσεις. Αντιμετώπιση: μόνο η εξωτερικότερη περιοχή γεννητικής εξόδου δηλώνει ",[65,9196,7781],{},"· τα παιδικά συστατικά κάνουν stream μέσα σε αυτήν ως συνηθισμένο DOM.",[16,9199,9200,9201,9204],{},"Αυτά τα σφάλματα δεν είναι θεωρητικά — είναι ο χαρακτηριστικός τρόπος αποτυχίας συστημάτων «φτιάξε οτιδήποτε». Θεραπεύονται σε επίπεδο integration: λήψη snapshots αντιπροσωπευτικού δείγματος ",[20,9202,9203],{},"παραγόμενων"," διατάξεων, εκτέλεση axe στα συνδυασμένα δέντρα και προσθήκη custom ελέγχων για τα τέσσερα παραπάνω πρότυπα.",[11,9206,9208],{"id":9207},"δοκιμές-με-πραγματικούς-χρήστες","Δοκιμές με Πραγματικούς Χρήστες",[16,9210,9211],{},"Τα αυτοματοποιημένα εργαλεία — axe-core, jest-axe, Storybook a11y, Lighthouse — εντοπίζουν περίπου 30% των προβλημάτων προσβασιμότητας. (Αυτή είναι η ίδια εκτίμηση της Deque Systems για το axe-core, και συμφωνεί με όσα θα πουν οι εταιρείες συμβούλων προσβασιμότητας.) Το υπόλοιπο 70% είναι θέματα κρίσης: είναι κατανοητό το κείμενο που ανακοινώνεται; Ταιριάζει η σειρά εστίασης με τη οπτική σειρά που αναμένει ο βλέποντας χρήστης; Μπορεί ο χρήστης screen reader να ολοκληρώσει πραγματικά την εργασία;",[16,9213,9214],{},"Σε αυτές τις ερωτήσεις δεν απαντά κανένα CI task. Χρειάζονται ζωντανοί άνθρωποι.",[16,9216,9217],{},"Ένα πρακτικό checklist δοκιμών με πραγματικούς χρήστες για κυκλοφορία generative UI:",[2939,9219,9220,9226,9232,9238,9244,9250,9256],{},[45,9221,9222,9225],{},[48,9223,9224],{},"Εκτέλεση screen reader — NVDA σε Windows + Firefox."," Ο πιο διαδεδομένος συνδυασμός στον κόσμο για χρήστες screen reader (έρευνα WebAIM). Εκτελέστε τα 5 κορυφαία γεννητικά σενάρια.",[45,9227,9228,9231],{},[48,9229,9230],{},"Εκτέλεση screen reader — VoiceOver σε macOS + Safari και VoiceOver σε iOS + Safari."," Η Apple κυριαρχεί στα mobile screen readers.",[45,9233,9234,9237],{},[48,9235,9236],{},"Εκτέλεση μόνο με πληκτρολόγιο."," Αποσυνδέστε το ποντίκι. Ολοκληρώστε κάθε κύρια εργασία με Tab, Shift+Tab, Enter, Space, Escape και βελάκια. Σημειώστε κάθε εξαφανιζόμενο δείκτη εστίασης και κάθε παγίδα πληκτρολογίου.",[45,9239,9240,9243],{},[48,9241,9242],{},"Εκτέλεση με φωνητικό έλεγχο."," Voice Control σε macOS ή Dragon. Το Generative UI φημίζεται ότι είναι δύσκολο για φωνητικό έλεγχο — οι ετικέτες παράγονται από AI, και αυτό αποκαλύπτει ελαττώματα ονομασίας που αλλιώς δεν εντοπίζονται.",[45,9245,9246,9249],{},[48,9247,9248],{},"Πραγματικοί συμμετέχοντες."," Εμπλέξτε 2–4 χρήστες screen reader ανά τρίμηνο — μέσω Fable, AccessWorks ή τοπικής κοινότητας a11y. Μία τέτοια συνεδρία αξίζει περισσότερο από εκατό αυτοματοποιημένες εκτελέσεις.",[45,9251,9252,9255],{},[48,9253,9254],{},"Υψηλή αντίθεση και zoom."," Windows High Contrast + 200% zoom προγράμματος περιήγησης + 400% zoom με reflow. Οι παραγόμενες διατάξεις συχνά σπάνε σε μεγάλο zoom, γιατί το AI παράγει σταθερά πλάτη.",[45,9257,9258,9261],{},[48,9259,9260],{},"Μειωμένη κίνηση."," Ενεργοποιήστε την προτίμηση συστήματος και επαναλάβετε τα streaming σενάρια.",[16,9263,9264],{},"Προβλέψτε προϋπολογισμό για αυτό. Λογική συχνότητα για μικρή ομάδα: αυτοματοποιημένοι έλεγχοι σε κάθε PR, τετράωρο χειροκίνητο πέρασμα πριν από κάθε κυκλοφορία και αμειβόμενη εξωτερική συνεδρία με συμμετέχοντες με αναπηρία μία φορά ανά τρίμηνο.",[11,9266,9268],{"id":9267},"roi-πώς-να-δικαιολογήσετε-το-επένδυση-στη-διοίκηση","ROI: Πώς να Δικαιολογήσετε το Επένδυση στη Διοίκηση",[16,9270,9271],{},"Η εργασία προσβασιμότητας ανταγωνίζεται για χρόνο μηχανικού με νέα χαρακτηριστικά. Αν είστε engineering manager, χρειάζεστε αριθμούς — και πρέπει να τους παρουσιάσετε στη γλώσσα που καταλαβαίνει ο CFO.",[16,9273,9274,9277],{},[48,9275,9276],{},"Κόστος."," Η ενσωμάτωση προσβασιμότητας στη βιβλιοθήκη συστατικών κατά τη φάση σχεδιασμού κοστίζει περίπου 5–10% της αξίας ανάπτυξης συστατικού (εκτιμήσεις Forrester, ομάδες a11y της Microsoft). Η εκ των υστέρων διόρθωση μη προσβάσιμης βιβλιοθήκης μετά την κυκλοφορία κοστίζει 30–100%: ξαναχτίζετε συστατικά ενώ ταυτόχρονα ξεπληρώνετε χρέος σε όλους τους downstream χρήστες. Το φθηνότερο προσβάσιμο συστατικό είναι αυτό που γράψατε προσβάσιμο από την αρχή.",[16,9279,9280,9283],{},[48,9281,9282],{},"Κίνδυνος."," Στο πλαίσιο του European Accessibility Act (EAA), η επιβολή ξεκίνησε στις 28 Ιουνίου 2025: οι B2C ψηφιακές υπηρεσίες που πωλούνται στην ΕΕ πρέπει να συμμορφώνονται με το EN 301 549 (εναρμονισμένο με WCAG 2.1 AA). Τα πρόστιμα καθορίζονται σε επίπεδο κράτους μέλους αλλά σε ορισμένες δικαιοδοσίες φτάνουν εξαψήφιους αριθμούς σε ευρώ ανά παραβίαση. Το ADA στις ΗΠΑ παράγει περίπου 4.000+ αγωγές ανά έτος για web προσβασιμότητα (ετήσια έκθεση UsableNet)· το μέσο ποσό διακανονισμού είναι 15–50 χιλ. δολάρια συν υποχρεωτικές διορθώσεις. Το UK Equality Act, ο καναδικός ACA και ο αυστραλιανός DDA προσθέτουν συγκρίσιμη έκθεση. Το Generative UI που παράγει μαζικά μη συμμορφούμενες διατάξεις είναι, ουσιαστικά, ένας πιθανολογικός γεννήτης αγωγών.",[16,9285,9286,9289],{},[48,9287,9288],{},"Έσοδα."," Περίπου το 16% του παγκόσμιου πληθυσμού ζει με σημαντικά προβλήματα υγείας (ΠΟΥ, 2023). Η έρευνα «Click-Away Pound» στο Ηνωμένο Βασίλειο εκτίμησε απώλειες 17,1 δισ. λιρών ετησίως — χρήματα που οι αγοραστές δεν αφήνουν σε μη προσβάσιμα καταστήματα. Οι κρατικές συμβάσεις στην ΕΕ, τις ΗΠΑ και τον Καναδά απαιτούν συμμόρφωση με Section 508 \u002F EN 301 549· ένα μη προσβάσιμο προϊόν δεν μπορεί να συμμετάσχει σε διαγωνισμό.",[16,9291,9292,9295],{},[48,9293,9294],{},"Χρονοδιάγραμμα υλοποίησης, κατά σειρά προτεραιότητας."," 90ήμερο σχέδιο για υπάρχον generative UI:",[80,9297,9298,9311],{},[83,9299,9300],{},[86,9301,9302,9305,9308],{},[89,9303,9304],{},"Εβδομάδα",[89,9306,9307],{},"Εργασία",[89,9309,9310],{},"Ημέρες μηχανικού",[105,9312,9313,9324,9335,9349,9359,9370,9381],{},[86,9314,9315,9318,9321],{},[110,9316,9317],{},"1–2",[110,9319,9320],{},"Audit registry συστατικών με axe + χειροκίνητο screen reader pass· λίστα ελαττωμάτων ανά συστατικό",[110,9322,9323],{},"5–8",[86,9325,9326,9329,9332],{},[110,9327,9328],{},"3–4",[110,9330,9331],{},"Διόρθωση top-10 συστατικών (σημαντική HTML, εστίαση, ετικέτες)",[110,9333,9334],{},"8–12",[86,9336,9337,9340,9346],{},[110,9338,9339],{},"5–6",[110,9341,9342,9343,9345],{},"Προσθήκη κοινής ",[65,9344,7781],{}," εξόδου, διαχείριση εστίασης, υποστήριξη reduced motion σε επίπεδο διάταξης",[110,9347,9348],{},"4–6",[86,9350,9351,9354,9357],{},[110,9352,9353],{},"7–8",[110,9355,9356],{},"Παραμετροποίηση επιπέδων επικεφαλίδων· προσθήκη συνδυαστικών integration tests",[110,9358,9348],{},[86,9360,9361,9364,9367],{},[110,9362,9363],{},"9–10",[110,9365,9366],{},"Ενεργοποίηση jest-axe + Storybook a11y addon στο CI· αποκλεισμός merge σε regressions",[110,9368,9369],{},"2–3",[86,9371,9372,9375,9378],{},[110,9373,9374],{},"11–12",[110,9376,9377],{},"Πρώτη εξωτερική συνεδρία με χρήστες screen reader· διόρθωση όσων βρήκαν",[110,9379,9380],{},"3–5",[86,9382,9383,9386,9389],{},[110,9384,9385],{},"Μετά",[110,9387,9388],{},"Τριμηνιαίες δοκιμές χρηστών, εβδομαδιαίοι αυτοματοποιημένοι drift-έλεγχοι",[110,9390,9391],{},"1 ημέρα\u002Fεβδομάδα",[16,9393,9394],{},"Σύνολο: περίπου 30–45 ημέρες μηχανικού για ουσιαστικό baseline σε μέση βιβλιοθήκη συστατικών, συν συντήρηση στο εξής. Παρουσιάστε το ως επένδυση ενός τριμήνου που εξαλείφει μια ολόκληρη επαναλαμβανόμενη κατηγορία νομικού, εσοδολογικού και φήμης κινδύνου.",[16,9396,9397],{},[48,9398,9399],{},"Μήτρα προτεραιοτήτων για triage.",[80,9401,9402,9414],{},[83,9403,9404],{},[86,9405,9406,9408,9411],{},[89,9407],{},[89,9409,9410],{},"Υψηλή επίπτωση στον χρήστη",[89,9412,9413],{},"Χαμηλή επίπτωση στον χρήστη",[105,9415,9416,9429],{},[86,9417,9418,9423,9426],{},[110,9419,9420],{},[48,9421,9422],{},"Υψηλός νομικός κίνδυνος",[110,9424,9425],{},"Διόρθωση αυτό το τρίμηνο",[110,9427,9428],{},"Διόρθωση αυτό το εξάμηνο",[86,9430,9431,9436,9438],{},[110,9432,9433],{},[48,9434,9435],{},"Χαμηλός νομικός κίνδυνος",[110,9437,9428],{},[110,9439,9440],{},"Στο backlog με ημερομηνία",[16,9442,9443],{},"Ο νομικός κίνδυνος είναι υψηλός όταν η παραβίαση αφορά συναλλακτικό σενάριο (checkout, εγγραφή, διαχείριση λογαριασμού) ή οποιαδήποτε κυβερνητική επιφάνεια. Η επίπτωση στον χρήστη είναι υψηλή όταν το σφάλμα μπλοκάρει την ολοκλήρωση εργασίας για χρήστες υποστηρικτικής τεχνολογίας, και δεν υποβαθμίζει απλώς την άνεση.",[11,9445,9447],{"id":9446},"εργαλεία-δοκιμής","Εργαλεία Δοκιμής",[16,9449,9450],{},"Χρησιμοποιήστε αυτά τα εργαλεία για τον audit της βιβλιοθήκης συστατικών και των παραγόμενων εξόδων. Οι εκδόσεις παρακάτω ισχύουν για τα μέσα του 2025 — ελέγξτε τις τρέχουσες πριν από την υλοποίηση.",[16,9452,9453,9463],{},[48,9454,9455,9456,633,9459,9462],{},"axe-core (",[65,9457,9458],{},"axe-core@4.x",[65,9460,9461],{},"jest-axe@9.x","):"," Αυτοματοποιημένος έλεγχος προσβασιμότητας που εντοπίζει ~30% των προβλημάτων. Ενσωματώστε με jest-axe για κάλυψη unit tests.",[249,9465,9467],{"className":251,"code":9466,"language":253,"meta":254,"style":254},"import { axe, toHaveNoViolations } from 'jest-axe';\nexpect.extend(toHaveNoViolations);\n\ntest('MetricCard has no accessibility violations', async () => {\n const { container } = render(\n \u003CMetricCard label=\"Revenue\" value=\"$84,200\" change={12.4} \u002F>\n );\n expect(await axe(container)).toHaveNoViolations();\n});\n",[65,9468,9469,9483,9494,9498,9519,9537,9570,9574,9595],{"__ignoreMap":254},[258,9470,9471,9473,9476,9478,9481],{"class":260,"line":261},[258,9472,938],{"class":365},[258,9474,9475],{"class":268}," { axe, toHaveNoViolations } ",[258,9477,944],{"class":365},[258,9479,9480],{"class":289}," 'jest-axe'",[258,9482,950],{"class":268},[258,9484,9485,9488,9491],{"class":260,"line":272},[258,9486,9487],{"class":268},"expect.",[258,9489,9490],{"class":264},"extend",[258,9492,9493],{"class":268},"(toHaveNoViolations);\n",[258,9495,9496],{"class":260,"line":280},[258,9497,414],{"emptyLinePlaceholder":413},[258,9499,9500,9503,9505,9508,9510,9512,9515,9517],{"class":260,"line":296},[258,9501,9502],{"class":264},"test",[258,9504,1058],{"class":268},[258,9506,9507],{"class":289},"'MetricCard has no accessibility violations'",[258,9509,633],{"class":268},[258,9511,366],{"class":365},[258,9513,9514],{"class":268}," () ",[258,9516,1598],{"class":365},[258,9518,965],{"class":268},[258,9520,9521,9523,9525,9528,9531,9533,9535],{"class":260,"line":311},[258,9522,656],{"class":365},[258,9524,3883],{"class":268},[258,9526,9527],{"class":659},"container",[258,9529,9530],{"class":268}," } ",[258,9532,507],{"class":365},[258,9534,7211],{"class":264},[258,9536,1164],{"class":268},[258,9538,9539,9541,9544,9546,9549,9552,9554,9556,9559,9561,9563,9565,9567],{"class":260,"line":323},[258,9540,550],{"class":365},[258,9542,9543],{"class":268},"MetricCard label",[258,9545,507],{"class":365},[258,9547,9548],{"class":289},"\"Revenue\"",[258,9550,9551],{"class":268}," value",[258,9553,507],{"class":365},[258,9555,7086],{"class":289},[258,9557,9558],{"class":268}," change",[258,9560,507],{"class":365},[258,9562,3693],{"class":268},[258,9564,7096],{"class":659},[258,9566,741],{"class":268},[258,9568,9569],{"class":365},"\u002F>\n",[258,9571,9572],{"class":260,"line":351},[258,9573,3440],{"class":268},[258,9575,9576,9579,9581,9584,9587,9590,9593],{"class":260,"line":357},[258,9577,9578],{"class":264}," expect",[258,9580,1058],{"class":268},[258,9582,9583],{"class":365},"await",[258,9585,9586],{"class":264}," axe",[258,9588,9589],{"class":268},"(container)).",[258,9591,9592],{"class":264},"toHaveNoViolations",[258,9594,2156],{"class":268},[258,9596,9597],{"class":260,"line":382},[258,9598,2681],{"class":268},[16,9600,9601,9607],{},[48,9602,9603,9604,9462],{},"Storybook Accessibility addon (",[65,9605,9606],{},"@storybook\u002Faddon-a11y@8.x"," Εκτελέστε ελέγχους axe απευθείας στο Storybook κατά την ανάπτυξη. Εντοπίζει προβλήματα πριν φτάσουν στις δοκιμές.",[16,9609,9610,9613],{},[48,9611,9612],{},"Δοκιμές screen reader:"," Το NVDA (Windows, δωρεάν) και το VoiceOver (macOS, ενσωματωμένο) είναι απαραίτητα για τη δοκιμή της εμπειρίας που τα αυτοματοποιημένα εργαλεία δεν μετρούν — πόσο κατανοητό είναι το παραγόμενο περιεχόμενο όταν ακούγεται δυνατά; Εκτεταμένο checklist στην ενότητα «Δοκιμές με Πραγματικούς Χρήστες» παραπάνω.",[16,9615,9616,9619],{},[48,9617,9618],{},"Πλοήγηση μόνο με πληκτρολόγιο:"," Αποσυνδέστε το ποντίκι και πλοηγηθείτε στην εφαρμογή αποκλειστικά με Tab, Shift+Tab, Enter, Space και βελάκια. Αυτός είναι ο ταχύτερος τρόπος να βρείτε παγίδες πληκτρολογίου.",[11,9621,9623],{"id":9622},"μη-διαπραγματεύσιμες-απαιτήσεις-τελική-λίστα","Μη Διαπραγματεύσιμες Απαιτήσεις: Τελική Λίστα",[16,9625,9626],{},"Πριν από την κυκλοφορία λειτουργίας Generative UI:",[2939,9628,9629,9632,9635,9638,9648,9656,9659,9665,9668,9671],{},[45,9630,9631],{},"Κάθε συστατικό στο registry εργαλείων περνά axe χωρίς παραβάσεις",[45,9633,9634],{},"Όλα τα διαδραστικά στοιχεία είναι προσβάσιμα με πληκτρολόγιο και λειτουργούν πλήρως",[45,9636,9637],{},"Το χρώμα δεν είναι ποτέ ο μόνος φορέας νοήματος",[45,9639,9640,9641,9643,9644,9647],{},"Η streaming έξοδος τυλίγεται σε ",[65,9642,7781],{}," region (και μόνο η ",[20,9645,9646],{},"πιο εξωτερική"," περιοχή το δηλώνει)",[45,9649,9650,9651,9653,9654],{},"Τα skeletons έχουν ",[65,9652,8056],{}," και ενημερωτικό ",[65,9655,8279],{},[45,9657,9658],{},"Τα SVG γραφήματα έχουν εναλλακτικό πίνακα δεδομένων",[45,9660,9661,9662],{},"Όλα τα animations σέβονται το ",[65,9663,9664],{},"prefers-reduced-motion",[45,9666,9667],{},"Τα επίπεδα επικεφαλίδων είναι παραμετροποιημένα στα συστατικά, όχι hardcoded",[45,9669,9670],{},"Τα συνδυαστικά integration tests καλύπτουν τουλάχιστον τα τέσσερα παραπάνω πρότυπα",[45,9672,9673],{},"Τουλάχιστον μία εξωτερική συνεδρία user testing με χρήστες screen reader ανά τρίμηνο",[16,9675,9676],{},"Η προσβασιμότητα ενσωματωμένη στη βιβλιοθήκη συστατικών δεν είναι επιβάρυνση. Είναι αυτό που κάνει την υπόσχεση «το AI μπορεί να συνθέσει οτιδήποτε» πραγματικότητα για όλους τους χρήστες. Και είναι αυτό που σας κρατά μακριά από τη δικαστική αίθουσα.",[16,9678,9679,9680,9684,9685,2555],{},"Σχετικό υλικό: πρακτικός οδηγός (",[2965,9681,9683],{"href":9682},"\u002Flearn\u002Fgenerative-ui-react-practical-guide","Generative UI με React — Πρακτικός Οδηγός",") και οδηγός απόδοσης (",[2965,9686,9688],{"href":9687},"\u002Flearn\u002Fperformance-optimization-genui","Βελτιστοποίηση Απόδοσης Generative UI",[2957,9690],{},[16,9692,9693],{},[20,9694,9695,9696,833],{},"Κατασκευάζετε προσβάσιμο Generative UI για σύνθετη εφαρμογή; ",[2965,9697,9698],{"href":2967},"Ας αναλύσουμε μαζί την πρόκλησή σας",[2971,9700,9701],{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s9eBZ, html code.shiki .s9eBZ{--shiki-default:#22863A;--shiki-dark:#85E89D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}",{"title":254,"searchDepth":272,"depth":272,"links":9703},[9704,9705,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715],{"id":7429,"depth":272,"text":7430},{"id":7455,"depth":272,"text":7456},{"id":7771,"depth":272,"text":7772},{"id":8063,"depth":272,"text":8064},{"id":8341,"depth":272,"text":8342},{"id":8713,"depth":272,"text":8714},{"id":8830,"depth":272,"text":8831},{"id":9134,"depth":272,"text":9135},{"id":9207,"depth":272,"text":9208},{"id":9267,"depth":272,"text":9268},{"id":9446,"depth":272,"text":9447},{"id":9622,"depth":272,"text":9623},"2026-01-22","Πρακτικός οδηγός για προσβάσιμα γεννητικά interfaces — screen readers, πλοήγηση με πληκτρολόγιο και συνδυαστικά προβλήματα προσβασιμότητας.",{"audit_status":2998},"\u002Fel\u002Flearn\u002Fgenerative-ui-accessibility-guide","11 λεπτά ανάγνωσης",{"title":7424,"description":9717},"el\u002Flearn\u002Fgenerative-ui-accessibility-guide",[9724,9725,3008,9726],"accessibility","wcag","inclusive-design","CdJK3-fwr6jelFSCqxpCpCclgnDuYHNzeeWjwdAGGH4",1778601179390]