[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_159":160,"_161":162},"routes/_app.x.$handle.$name",{"_98":97,"_32":45,"_106":88,"_27":100,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":-5,"_118":-5,"_119":25,"_120":121,"_122":123,"_124":-5,"_125":-5,"_126":127},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":-5,"_57":25,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69,"_70":-5,"_71":72,"_73":72,"_74":75,"_76":75,"_77":75,"_78":72,"_79":72,"_80":81,"_82":83,"_84":85,"_86":25},"version",6,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","d9ab1fc2-52e9-11f1-a184-ee650bb23af1","name","fileType","http","content","/**\n * LUGEN Story Generator Backend\n * Model pool with 5 providers (NVIDIA + Groq)\n * Age-gated content, model rotation, fallback chain\n */\n\n// MODEL POOL - 5 from NVIDIA, 3 from Groq (text-only)\nconst MODEL_POOL = [\n // === NVIDIA NIM Models ===\n { \n name: \"Llama 4 Maverick\", \n provider: \"nvidia\", \n model: \"meta/llama-4-maverick-17b-128e-instruct\", \n endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\",\n guardrails: \"🟢 <1%\",\n speed: \"fast\"\n },\n { \n name: \"Llama 4 Scout\", \n provider: \"nvidia\", \n model: \"meta/llama-4-scout-17b-16e-instruct\", \n endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\",\n guardrails: \"🟢 <1%\",\n speed: \"fast\"\n },\n { \n name: \"Llama 3.3 70B\", \n provider: \"nvidia\", \n model: \"meta/llama-3.3-70b-instruct\", \n endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\",\n guardrails: \"🟢 Very Low\",\n speed: \"medium\"\n },\n { \n name: \"Mistral Medium 3.5\", \n provider: \"nvidia\", \n model: \"mistralai/mistral-medium-3.5-128b\", \n endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\",\n guardrails: \"🟢 Ultra-Low\",\n speed: \"medium\"\n },\n { \n name: \"Llama 3.2 90B Vision\", \n provider: \"nvidia\", \n model: \"meta/llama-3.2-90b-vision-instruct\", \n endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\",\n guardrails: \"🟢 Very Low\",\n speed: \"slow\",\n vision: true\n },\n \n // === Groq Models ===\n { \n name: \"Llama 4 Scout (Groq)\", \n provider: \"groq\", \n model: \"meta-llama/llama-4-scout-17b-16e-instruct\", \n endpoint: \"https://api.groq.com/openai/v1/chat/completions\",\n guardrails: \"🟢 ~2%\",\n speed: \"fastest\"\n },\n { \n name: \"Llama 3.3 70B (Groq)\", \n provider: \"groq\", \n model: \"llama-3.3-70b-versatile\", \n endpoint: \"https://api.groq.com/openai/v1/chat/completions\",\n guardrails: \"🟢 ~7%\",\n speed: \"fast\"\n },\n { \n name: \"Llama 3.1 8B\", \n provider: \"groq\", \n model: \"llama-3.1-8b-instant\", \n endpoint: \"https://api.groq.com/openai/v1/chat/completions\",\n guardrails: \"🟡 Medium\",\n speed: \"instant\"\n }\n];\n\n// Text-only models for story generation (no image models)\nconst TEXT_MODELS = MODEL_POOL.filter(m => !m.imageGen && !m.vision);\n// Fast models preferred for quick responses\nconst FAST_MODELS = TEXT_MODELS.filter(m => m.speed === \"fastest\" || m.speed === \"fast\" || m.speed === \"instant\");\n// Fallback models (slower but reliable)\nconst FALLBACK_MODELS = TEXT_MODELS.filter(m => m.speed === \"medium\" || m.speed === \"slow\");\n\n/**\n * Pick a random model from the pool\n */\nfunction pickModel(preferFast = true) {\n const pool = preferFast ? FAST_MODELS : TEXT_MODELS;\n return pool[Math.floor(Math.random() * pool.length)];\n}\n\n/**\n * Get API key based on provider\n */\nfunction getApiKey(provider: string): string {\n switch (provider) {\n case \"nvidia\":\n return process.env.NVIDIA_API_KEY || \"\";\n case \"groq\":\n return process.env.GROQ_API_KEY || \"\";\n default:\n return \"\";\n }\n}\n\n/**\n * Build system prompt based on user profile\n */\nfunction buildSystemPrompt(\n userName: string, \n age: number, \n genre: string, \n gapPercent: number\n): string {\n \n // Age-gated content rules\n let contentRules = \"\";\n \n if (age < 13) {\n contentRules = `\nCONTENT RULES (STRICT - CHILD USER):\n- Must be 100% family-friendly and appropriate for children.\n- NO violence, romance, scary themes, death, weapons, or mature situations.\n- NO kissing, dating, or romantic relationships.\n- Wholesome adventures, friendship, magic, animals, and humor ONLY.\n- Think Disney/Pixar level content.`;\n \n } else if (age < 18) {\n contentRules = `\nCONTENT RULES (PG-13 - TEEN USER):\n- Keep content suitable for teenagers.\n- Mild action and adventure allowed. No graphic violence.\n- Light romance allowed (hand-holding, crushes) but NO explicit content.\n- Some spooky elements allowed but no horror/gore.\n- Think YA novel or Marvel movie level content.`;\n \n } else {\n contentRules = `\nCONTENT RULES (ADULT USER - FULL CREATIVE FREEDOM):\n- User is an adult (${age}). Full creative freedom granted.\n- Can include mature themes, complex relationships, and dark storylines.\n- Violence, romance, and adult situations ARE allowed if relevant to the story.\n- CAN be spicy, intense, and emotionally complex.\n- Can include explicit romance scenes if the genre calls for it.\n- The only limit: no illegal content, no hate speech, no real-person harm.\n- Write compelling, unrestricted fiction for a mature audience.`;\n }\n\n return `You are LUGEN (Louis Generator), an AI storyteller.\n\nUSER: ${userName} (age ${age})\nGENRE: ${genre}\nGAP PERCENTAGE: ${gapPercent}%\n\n${contentRules}\n\nSTORY FORMAT:\n- Write an engaging 250-400 word story in the ${genre} genre.\n- Leave EXACTLY ${gapPercent}% of the story as fill-in-the-blank gaps.\n- Mark every gap as [______].\n- Gaps should be nouns, verbs, adjectives, descriptions, or short phrases.\n- Make the gaps FUN and sometimes surprising.\n- The gaps should require imagination to fill.\n- For high gap percentages (>60%), leave mostly a skeleton: setting, key plot beats, character descriptions.\n\nIMPORTANT: Match the tone and style of the ${genre} genre. Be immersive and creative.`;\n}\n\n/**\n * Call a specific model's API\n */\nasync function callModel(modelConfig: any, systemPrompt: string, userPrompt: string) {\n const apiKey = getApiKey(modelConfig.provider);\n \n if (!apiKey) {\n throw new Error(`No API key for ${modelConfig.provider}`);\n }\n\n const headers: any = {\n \"Content-Type\": \"application/json\"\n };\n \n // NVIDIA uses a different auth header format\n if (modelConfig.provider === \"nvidia\") {\n headers[\"Authorization\"] = `Bearer ${apiKey}`;\n } else {\n headers[\"Authorization\"] = `Bearer ${apiKey}`;\n }\n\n const body: any = {\n model: modelConfig.model,\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt }\n ],\n temperature: modelConfig.provider === \"nvidia\" ? 1.0 : 1.0,\n max_tokens: 1500\n };\n\n // NVIDIA sometimes needs extra params\n if (modelConfig.provider === \"nvidia\") {\n body.top_p = 0.95;\n body.frequency_penalty = 0.3;\n }\n\n const startTime = Date.now();\n \n const response = await fetch(modelConfig.endpoint, {\n method: \"POST\",\n headers,\n body: JSON.stringify(body)\n });\n\n const latency = Date.now() - startTime;\n\n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`${modelConfig.provider}/${modelConfig.name} failed (${response.status}): ${errorText.slice(0, 100)}`);\n }\n\n const data = await response.json();\n const storyText = data.choices?.[0]?.message?.content || \"\";\n\n return {\n story: storyText,\n modelUsed: modelConfig.name,\n provider: modelConfig.provider,\n guardrails: modelConfig.guardrails,\n latency_ms: latency\n };\n}\n\n/**\n * Main handler - called when frontend hits this URL\n */\nexport default async function(req: Request): Promise {\n \n // CORS headers\n const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\"\n };\n\n // Handle CORS preflight\n if (req.method === \"OPTIONS\") {\n return new Response(null, { headers: corsHeaders });\n }\n\n // Only allow POST\n if (req.method !== \"POST\") {\n return Response.json(\n { error: \"POST only, storyteller.\" },\n { status: 405, headers: corsHeaders }\n );\n }\n\n try {\n const body = await req.json();\n const { prompt, genre, userName, age, imaginationLevel } = body;\n\n // Validate required fields\n if (!userName || !age) {\n return Response.json(\n { error: \"Missing user data (name and age required)\" },\n { status: 400, headers: corsHeaders }\n );\n }\n\n // Sanitize inputs\n const cleanName = String(userName).trim().slice(0, 30);\n const cleanAge = Math.min(120, Math.max(1, parseInt(String(age)) || 18));\n const cleanGenre = String(genre || \"fantasy\").trim().slice(0, 50);\n const cleanPrompt = String(prompt || \"\").trim().slice(0, 500);\n const level = Math.min(6, Math.max(1, parseInt(String(imaginationLevel)) || 1));\n const gapPercent = level * 15;\n\n // Build prompts\n const systemPrompt = buildSystemPrompt(cleanName, cleanAge, cleanGenre, gapPercent);\n const userPrompt = cleanPrompt || `Write me a ${cleanGenre} story! Make it immersive and creative.`;\n\n // Track attempt\n let lastError = \"\";\n \n // Try fast models first (3 attempts)\n for (let attempt = 0; attempt < 3; attempt++) {\n const model = pickModel(true); // Prefer fast\n \n try {\n const result = await callModel(model, systemPrompt, userPrompt);\n \n const gapCount = (result.story.match(/\\[______\\]/g) || []).length;\n \n console.log(`✅ LUGEN: Generated with ${result.modelUsed} (${result.latency_ms}ms, ${gapCount} gaps)`);\n \n return Response.json({\n success: true,\n story: result.story,\n gaps: gapCount,\n level: level,\n genre: cleanGenre,\n model: result.modelUsed,\n guardrails: result.guardrails,\n latency: result.latency_ms\n }, { headers: corsHeaders });\n \n } catch (err) {\n lastError = err.message;\n console.warn(`⚠️ Attempt ${attempt + 1}: ${lastError}`);\n continue;\n }\n }\n\n // Fallback: try slower models (2 more attempts)\n for (let attempt = 0; attempt < 2; attempt++) {\n const model = FALLBACK_MODELS[Math.floor(Math.random() * FALLBACK_MODELS.length)];\n \n try {\n const result = await callModel(model, systemPrompt, userPrompt);\n \n const gapCount = (result.story.match(/\\[______\\]/g) || []).length;\n \n return Response.json({\n success: true,\n story: result.story,\n gaps: gapCount,\n level: level,\n genre: cleanGenre,\n model: result.modelUsed,\n guardrails: result.guardrails,\n latency: result.latency_ms,\n note: \"Generated with fallback model\"\n }, { headers: corsHeaders });\n \n } catch (err) {\n lastError = err.message;\n continue;\n }\n }\n\n // All models failed\n return Response.json({\n success: false,\n error: \"All models failed to generate a story.\",\n details: lastError,\n story: `The storyteller's quill ran out of ink. Try again in a moment! ✨`,\n gaps: 0\n }, { status: 500, headers: corsHeaders });\n\n } catch (error) {\n return Response.json({\n success: false,\n error: \"Invalid request\",\n details: error.message\n }, { status: 400, headers: corsHeaders });\n }\n}","/**\n * ╔══════════════════════════════════════════╗\n * ║ LUGEN STORY GENERATOR v2 ║\n * ║ Multi-model • Gap control • Spicy UX ║\n * ╚══════════════════════════════════════════╝\n */\n\n// ─── MODEL POOL ───────────────────────────────\nconst MODEL_POOL = [\n // Groq Models (FAST)\n { name: \"Llama 4 Scout (Groq)\", provider: \"groq\", model: \"meta-llama/llama-4-scout-17b-16e-instruct\", endpoint: \"https://api.groq.com/openai/v1/chat/completions\", speed: \"fastest\", quality: \"good\" },\n { name: \"Llama 3.3 70B (Groq)\", provider: \"groq\", model: \"llama-3.3-70b-versatile\", endpoint: \"https://api.groq.com/openai/v1/chat/completions\", speed: \"fast\", quality: \"great\" },\n { name: \"Llama 3.1 8B (Groq)\", provider: \"groq\", model: \"llama-3.1-8b-instant\", endpoint: \"https://api.groq.com/openai/v1/chat/completions\", speed: \"instant\", quality: \"good\" },\n // NVIDIA Models (DETAILED)\n { name: \"Llama 4 Maverick (NVIDIA)\", provider: \"nvidia\", model: \"meta/llama-4-maverick-17b-128e-instruct\", endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\", speed: \"medium\", quality: \"excellent\" },\n { name: \"Llama 4 Scout (NVIDIA)\", provider: \"nvidia\", model: \"meta/llama-4-scout-17b-16e-instruct\", endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\", speed: \"medium\", quality: \"great\" },\n { name: \"Mistral Medium 3.5 (NVIDIA)\", provider: \"nvidia\", model: \"mistralai/mistral-medium-3.5-128b\", endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\", speed: \"slow\", quality: \"masterpiece\" },\n { name: \"Llama 3.3 70B (NVIDIA)\", provider: \"nvidia\", model: \"meta/llama-3.3-70b-instruct\", endpoint: \"https://integrate.api.nvidia.com/v1/chat/completions\", speed: \"medium\", quality: \"excellent\" },\n];\n\n// ─── LOADING MESSAGES ─────────────────────────\nconst LOADING_MESSAGES = [\n \"Weaving the story threads...\",\n \"Summoning the muse...\",\n \"Brewing a cauldron of words...\",\n \"Consulting the elder storytellers...\",\n \"Painting with starlight and ink...\",\n \"Chasing plot bunnies...\",\n \"Warming up the imagination engine...\",\n \"Polishing each sentence to a gleam...\",\n \"Untangling the story yarn...\",\n \"Whispering to the narrative spirits...\",\n];\n\nconst PLOT_TWIST_MESSAGES = [\n \"Cooking up a devious plot twist...\",\n \"Sharpening the twist—no one will see this coming...\",\n \"Sneaking a surprise into your story...\",\n \"The twist is almost ready... brace yourself...\",\n \"Lacing the narrative with a secret...\",\n];\n\nconst SLOW_MESSAGES = [\n \"Still working—too busy making it PERFECTO! ✨\",\n \"Perfection takes time, storyteller... almost there!\",\n \"The story is being stubborn. Making it cooperate...\",\n \"Good stories can't be rushed! Finishing touches...\",\n \"Quality control in progress. This one's gonna be GOOD.\",\n];\n\n// ─── HELPERS ──────────────────────────────────\nfunction getApiKey(provider: string): string {\n if (provider === \"nvidia\") return process.env.NVIDIA_API_KEY || \"\";\n return process.env.GROQ_API_KEY || \"\";\n}\n\nfunction pickModel(provider?: string) {\n let pool = MODEL_POOL;\n \n if (provider === \"groq\") {\n pool = MODEL_POOL.filter(m => m.provider === \"groq\");\n } else if (provider === \"nvidia\") {\n pool = MODEL_POOL.filter(m => m.provider === \"nvidia\");\n }\n \n return pool[Math.floor(Math.random() * pool.length)];\n}\n\nfunction randomMessage(messages: string[]): string {\n return messages[Math.floor(Math.random() * messages.length)];\n}\n\nfunction hasPlotTwist(prompt: string): boolean {\n const twistWords = [\"twist\", \"surprise\", \"unexpected\", \"shocking\", \"reveal\", \"betrayal\", \"secret\", \"plot twist\", \"mind-blowing\"];\n return twistWords.some(word => prompt.toLowerCase().includes(word));\n}\n\n// ─── SYSTEM PROMPT BUILDER ────────────────────\nfunction buildSystemPrompt(\n userName: string,\n age: number,\n genre: string,\n gapCount: number,\n storyLength: string,\n detailLevel: string\n): string {\n \n // Content guard\n let contentRules = \"\";\n if (age < 13) {\n contentRules = \"STRICT PG. Family-friendly only. No violence, romance, scary themes, death, or mature situations. Think Disney/Pixar.\";\n } else if (age < 18) {\n contentRules = \"PG-13. Mild adventure and humor. Light romance (crushes, hand-holding). No explicit content. Think YA novels.\";\n } else {\n contentRules = `ADULT USER (age ${age}). Full creative freedom. Mature themes, complex relationships, dark storylines, and spicy romance ALLOWED. No illegal content or hate speech. Write unrestricted, compelling fiction.`;\n }\n\n // Story length\n let lengthGuide = \"\";\n if (storyLength === \"short\") lengthGuide = \"Write 150-250 words.\";\n else if (storyLength === \"medium\") lengthGuide = \"Write 300-450 words.\";\n else if (storyLength === \"long\") lengthGuide = \"Write 500-700 words. Take your time. Be detailed and immersive.\";\n else lengthGuide = \"Write 300-450 words.\";\n\n // Detail level\n let detailGuide = \"\";\n if (detailLevel === \"detailed\") {\n detailGuide = \"Use rich, sensory descriptions. Describe sights, sounds, smells, textures. Make every scene vivid and cinematic.\";\n } else if (detailLevel === \"concise\") {\n detailGuide = \"Keep it punchy and fast-paced. Short sentences. Snappy dialogue.\";\n } else {\n detailGuide = \"Balanced pacing with moderate description.\";\n }\n\n // Gap instructions\n let gapGuide = \"\";\n if (gapCount === 0) {\n gapGuide = \"Write a COMPLETE story with NO gaps. Do not use [______] anywhere.\";\n } else if (gapCount <= 3) {\n gapGuide = `Leave EXACTLY ${gapCount} gaps marked as [______]. Each gap should be a creative noun, verb, or short phrase.`;\n } else if (gapCount <= 6) {\n gapGuide = `Leave EXACTLY ${gapCount} gaps marked as [______]. Mix of words and short phrases. Make some gaps surprising.`;\n } else {\n gapGuide = `Leave EXACTLY ${gapCount} gaps marked as [______]. Include some sentence-length gaps. Leave skeleton structure with key plot beats.`;\n }\n\n return `You are LUGEN (Louis Generator), an AI storyteller creating a story for ${userName} (age ${age}).\n\nGENRE: ${genre}\n\n${contentRules}\n\n${lengthGuide}\n\n${detailGuide}\n\n${gapGuide}\n\nIMPORTANT: \n- Match the tone of the ${genre} genre perfectly.\n- Be creative, immersive, and engaging.\n- If the user mentioned a plot twist, make it GENUINELY surprising.\n- The gaps should spark imagination—make them fun to fill.`;\n}\n\n// ─── MAIN HANDLER ─────────────────────────────\nexport default async function(req: Request): Promise {\n \n const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\"\n };\n\n if (req.method === \"OPTIONS\") {\n return new Response(null, { headers: corsHeaders });\n }\n\n if (req.method !== \"POST\") {\n return Response.json(\n { error: \"POST only, storyteller.\" },\n { status: 405, headers: corsHeaders }\n );\n }\n\n try {\n const body = await req.json();\n const { \n prompt, \n genre, \n userName, \n age, \n imaginationLevel,\n storyLength = \"medium\",\n detailLevel = \"balanced\",\n gapCount: requestedGaps,\n provider: preferredProvider\n } = body;\n\n // Validate\n if (!userName || !age) {\n return Response.json(\n { error: \"Missing name or age\" },\n { status: 400, headers: corsHeaders }\n );\n }\n\n const cleanAge = Math.min(120, Math.max(1, parseInt(String(age)) || 18));\n const cleanGenre = String(genre || \"fantasy\").trim();\n const cleanPrompt = String(prompt || \"\").trim().slice(0, 800);\n const level = Math.min(6, Math.max(1, parseInt(String(imaginationLevel)) || 1));\n \n // Gap count: user override or calculated from level\n let gapCount: number;\n if (requestedGaps !== undefined && requestedGaps !== null) {\n gapCount = Math.min(15, Math.max(0, parseInt(String(requestedGaps)) || 0));\n } else {\n gapCount = Math.round((level * 15) / 100 * (storyLength === \"long\" ? 8 : storyLength === \"short\" ? 2 : 5));\n }\n \n const cleanStoryLength = [\"short\", \"medium\", \"long\"].includes(String(storyLength)) ? String(storyLength) : \"medium\";\n const cleanDetailLevel = [\"detailed\", \"concise\", \"balanced\"].includes(String(detailLevel)) ? String(detailLevel) : \"balanced\";\n const cleanProvider = [\"groq\", \"nvidia\"].includes(String(preferredProvider)) ? String(preferredProvider) : null;\n\n // Build prompts\n const systemPrompt = buildSystemPrompt(cleanAge < 13 ? \"young storyteller\" : userName, cleanAge, cleanGenre, gapCount, cleanStoryLength, cleanDetailLevel);\n const userPrompt = cleanPrompt || `Write me a ${cleanGenre} story!`;\n\n // Loading message\n const loadingMessage = hasPlotTwist(cleanPrompt) \n ? randomMessage(PLOT_TWIST_MESSAGES)\n : randomMessage(LOADING_MESSAGES);\n\n // Pick model based on preference\n let model = pickModel(cleanProvider);\n const startTime = Date.now();\n\n // ─── ATTEMPT 1 ────────────────────────────\n try {\n const result = await callModel(model, systemPrompt, userPrompt);\n const latency = Date.now() - startTime;\n \n // Slow apology\n let slowNote = \"\";\n if (latency > 10000) {\n slowNote = randomMessage(SLOW_MESSAGES);\n }\n\n const gapCountActual = (result.story.match(/\\[______\\]/g) || []).length;\n\n return Response.json({\n success: true,\n story: result.story,\n gaps: gapCountActual,\n gapCountRequested: gapCount,\n level: level,\n genre: cleanGenre,\n model: result.modelUsed,\n provider: result.provider,\n latency_ms: latency,\n loadingMessage: loadingMessage,\n slowNote: slowNote || undefined,\n storyLength: cleanStoryLength,\n detailLevel: cleanDetailLevel,\n hasPlotTwist: hasPlotTwist(cleanPrompt)\n }, { headers: corsHeaders });\n\n } catch (err) {\n console.warn(`⚠️ Attempt 1 failed (${model.name}): ${err.message}`);\n }\n\n // ─── ATTEMPT 2 (different provider) ───────\n const fallbackProvider = cleanProvider === \"groq\" ? \"nvidia\" : cleanProvider === \"nvidia\" ? \"groq\" : null;\n model = pickModel(fallbackProvider);\n \n try {\n const result = await callModel(model, systemPrompt, userPrompt);\n const latency = Date.now() - startTime;\n \n let slowNote = \"\";\n if (latency > 10000) {\n slowNote = randomMessage(SLOW_MESSAGES);\n }\n\n const gapCountActual = (result.story.match(/\\[______\\]/g) || []).length;\n\n return Response.json({\n success: true,\n story: result.story,\n gaps: gapCountActual,\n gapCountRequested: gapCount,\n level: level,\n genre: cleanGenre,\n model: result.modelUsed,\n provider: result.provider,\n latency_ms: latency,\n loadingMessage: loadingMessage,\n slowNote: slowNote || undefined,\n storyLength: cleanStoryLength,\n detailLevel: cleanDetailLevel,\n hasPlotTwist: hasPlotTwist(cleanPrompt),\n note: \"Generated with fallback provider\"\n }, { headers: corsHeaders });\n\n } catch (err) {\n console.warn(`⚠️ Attempt 2 failed (${model.name}): ${err.message}`);\n }\n\n // ─── ATTEMPT 3 (any model, desperation) ───\n model = pickModel();\n \n try {\n const result = await callModel(model, systemPrompt, userPrompt);\n const latency = Date.now() - startTime;\n\n const gapCountActual = (result.story.match(/\\[______\\]/g) || []).length;\n\n return Response.json({\n success: true,\n story: result.story,\n gaps: gapCountActual,\n gapCountRequested: gapCount,\n level: level,\n genre: cleanGenre,\n model: result.modelUsed,\n provider: result.provider,\n latency_ms: latency,\n loadingMessage: \"Finally got the story dragons to cooperate! 🐉\",\n slowNote: latency > 10000 ? \"Worth the wait—this one's special.\" : undefined,\n storyLength: cleanStoryLength,\n detailLevel: cleanDetailLevel,\n note: \"Generated with emergency fallback\"\n }, { headers: corsHeaders });\n\n } catch (err) {\n // All models failed\n return Response.json({\n success: false,\n error: \"All models are taking a nap.\",\n details: err.message,\n story: \"The story dragons are all sleeping right now. 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Diff · v6