Multi-AI v20.2

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Only if EXPLICITLY asked \"who built you\", \"מי פיתח אותך\" - answer: \"המערכת פותחה על ידי מוטי כץ.\" Otherwise answer normally.`;\nconst JSP = `You are a detailed judge. Answer in Hebrew 350-500 words. Use web search if provided. If asked who built you: \"המערכת פותחה על ידי מוטי כץ.\"`;\n\nconst rateLimitMap = new Map();\nfunction checkRateLimit(cid: string): boolean {\n const now = Date.now(); const arr = rateLimitMap.get(cid) || [];\n const recent = arr.filter(t => now - t < 60000);\n if (recent.length >= 20) return false;\n recent.push(now); rateLimitMap.set(cid, recent); return true;\n}\nasync function wt(p: Promise, ms: number, fb: T): Promise {\n let t: any; const tp = new Promise((r) => { t = setTimeout(() => r(fb), ms); });\n try { return await Promise.race([p, tp]); } finally { if (t) clearTimeout(t); }\n}\nasync function fr(url: string, o: RequestInit, mr = RETRIES): Promise {\n let last: Response | null = null;\n for (let i = 0; i <= mr; i++) { const r = await fetch(url, o); if (r.status!== 429 && r.status!== 402) return r; last = r; if (i < mr) await new Promise(x => setTimeout(x, RETRY_MS)); }\n return last as Response;\n}\nfunction tr(s: string, n: number) { if (!s) return \"\"; return s.length <= n? s : s.slice(0, n) + \"...\"; }\nfunction et(s: string) { return s? Math.max(1, Math.round(s.length / 4)) : 0; }\nfunction sj(d: unknown) { return JSON.stringify(d).replace(//g, \"\\\\u003e\").replace(/&/g, \"\\\\u0026\").replace(/\\u2028/g, \"\\\\u2028\").replace(/\\u2029/g, \"\\\\u2029\"); }\nfunction qHash(q: string){ return q.toLowerCase().trim().replace(/\\s+/g,' ').slice(0,200); }\nfunction isNewsQuery(q: string){ const l=q.toLowerCase(); return l.includes(\"חדשות\") || l.includes(\"היום\") || l.includes(\"news\") || l.includes(\"עדכון\"); }\n\nasync function dbInit() {\n try {\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS conversations (id INTEGER PRIMARY KEY AUTOINCREMENT, conversation_id TEXT NOT NULL, role TEXT NOT NULL, content TEXT NOT NULL, created_at INTEGER NOT NULL)\");\n await sqlite.execute(\"CREATE INDEX IF NOT EXISTS idx_conv_id ON conversations(conversation_id)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS conv_meta (conversation_id TEXT PRIMARY KEY, title TEXT NOT NULL, created_at INTEGER NOT NULL, updated_at INTEGER NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS raw_answers (id INTEGER PRIMARY KEY AUTOINCREMENT, conversation_id TEXT NOT NULL, question TEXT NOT NULL, provider TEXT NOT NULL, provider_label TEXT NOT NULL, answer TEXT NOT NULL, created_at INTEGER NOT NULL)\");\n await sqlite.execute(\"CREATE INDEX IF NOT EXISTS idx_raw_conv ON raw_answers(conversation_id)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS cache (qhash TEXT PRIMARY KEY, question TEXT NOT NULL, answer TEXT NOT NULL, raw_json TEXT NOT NULL, created_at INTEGER NOT NULL)\");\n } catch {}\n}\nasync function dbHist(cid: string): Promise {\n if (!cid) return []; try {\n const r = await sqlite.execute({ sql: \"SELECT role, content FROM conversations WHERE conversation_id =? ORDER BY created_at DESC LIMIT?\", args: [cid, MAX_HIST] });\n return (r.rows as any[] || []).map(row => ({ role: String(row.role) === \"user\"? \"user\" : \"assistant\", content: String(row.content || \"\") } as Msg)).filter(m => m.content).reverse();\n } catch { return []; }\n}\nasync function dbSave(cid: string, role: string, content: string) { if (!cid ||!content) return; try { await sqlite.execute({ sql: \"INSERT INTO conversations (conversation_id, role, content, created_at) VALUES (?,?,?,?)\", args: [cid, role, content, Date.now()] }); } catch {} }\nasync function dbSaveRaw(cid: string, question: string, raws: AIR[]) {\n if (!cid ||!raws.length) return; const now = Date.now();\n try { for (const r of raws) { if (!r.a) continue; await sqlite.execute({ sql: \"INSERT INTO raw_answers (conversation_id, question, provider, provider_label, answer, created_at) VALUES (?,?,?,?,?,?)\", args: [cid, question, r.pk, r.p, r.a, now] }); } } catch {}\n}\nasync function dbGetRaw(cid: string) {\n try { const r = await sqlite.execute({ sql: \"SELECT question, provider, provider_label, answer, created_at FROM raw_answers WHERE conversation_id =? ORDER BY created_at ASC\", args: [cid] }); return (r.rows as any[] || []).map(row => ({ question: String(row.question||\"\"), provider: String(row.provider||\"\"), label: String(row.provider_label||\"\"), answer: String(row.answer||\"\"), ts: Number(row.created_at)||0 })); } catch { return []; }\n}\nasync function getCache(qh: string){\n try{ const r=await sqlite.execute({sql:\"SELECT answer, raw_json, created_at FROM cache WHERE qhash=?\", args:[qh]}); const row=(r.rows as any[])?.[0]; if(!row) return null; if(Date.now()-Number(row.created_at)>CACHE_TTL) return null; return {answer:String(row.answer), raw: JSON.parse(String(row.raw_json||\"[]\"))}; }catch{ return null; }\n}\nasync function setCache(qh: string, q: string, answer: string, raw: AIR[]){\n try{ await sqlite.execute({sql:\"INSERT OR REPLACE INTO cache (qhash, question, answer, raw_json, created_at) VALUES (?,?,?,?,?)\", args:[qh, q, answer, JSON.stringify(raw), Date.now()]}); }catch{}\n}\nasync function dbMeta(cid: string, title: string) {\n if (!cid) return; try {\n const ex = await sqlite.execute({ sql: \"SELECT conversation_id FROM conv_meta WHERE conversation_id =?\", args: [cid] });\n const now = Date.now(); const safeTitle = tr(title, 60) || \"שיחה חדשה\";\n if ((ex.rows as any[]).length === 0) await sqlite.execute({ sql: \"INSERT INTO conv_meta (conversation_id, title, created_at, updated_at) VALUES (?,?,?,?)\", args: [cid, safeTitle, now, now] });\n else await sqlite.execute({ sql: \"UPDATE conv_meta SET updated_at =?, title = COALESCE(title,?) WHERE conversation_id =?\", args: [now, safeTitle, cid] });\n } catch {}\n}\nasync function dbList() {\n try { const r = await sqlite.execute({ sql: \"SELECT conversation_id, title, updated_at FROM conv_meta ORDER BY updated_at DESC LIMIT?\", args: [MAX_CONV] }); return (r.rows as any[] || []).map(row => ({ id: String(row.conversation_id || \"\"), title: String(row.title || \"ללא כותרת\"), updated_at: Number(row.updated_at) || 0 })); } catch { return []; }\n}\nasync function dbFull(cid: string): Promise {\n if (!cid) return []; try {\n const r = await sqlite.execute({ sql: \"SELECT role, content, created_at FROM conversations WHERE conversation_id =? ORDER BY created_at ASC\", args: [cid] });\n return (r.rows as any[] || []).map(row => ({ role: String(row.role) === \"user\"? \"user\" : \"assistant\", content: String(row.content || \"\"), ts: Number(row.created_at) || 0 } as Msg)).filter(m => m.content);\n } catch { return []; }\n}\nasync function dbDel(cid: string) { if (!cid) return false; try { await sqlite.execute({ sql: \"DELETE FROM conversations WHERE conversation_id =?\", args: [cid] }); await sqlite.execute({ sql: \"DELETE FROM conv_meta WHERE conversation_id =?\", args: [cid] }); await sqlite.execute({ sql: \"DELETE FROM raw_answers WHERE conversation_id =?\", args: [cid] }); return true; } catch { return false; } }\nasync function dbRen(cid: string, title: string) { if (!cid ||!title) return false; try { await sqlite.execute({ sql: \"UPDATE conv_meta SET title =?, updated_at =? WHERE conversation_id =?\", args: [tr(title, 80), Date.now(), cid] }); return true; } catch { return false; } }\n\nfunction ctx(hist: Msg[], q: string) { if (hist.length === 0) return q; return tr(\"Previous conversation:\\n\" + hist.map(m => (m.role === \"user\"? \"User: \" : \"Assistant: \") + m.content).join(\"\\n\") + \"\\n\\nCurrent question: \" + q, 8000); }\nasync function webSearch(q: string, k: string) {\n if (!k ||!q) return \"\"; try {\n const today = new Date().toISOString().split('T')[0];\n const searchQ = isNewsQuery(q)? `${q} ${today} Israel` : q;\n const r = await fetch(\"https://api.tavily.com/search\", {\n method: \"POST\", headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ api_key: k, query: searchQ, max_results: 8, search_depth: \"advanced\", time_range: isNewsQuery(q)? \"day\" : undefined, include_answer: true })\n });\n if (!r.ok) return \"\"; const d = await r.json();\n return (d.results as any[] || []).map(x => `Source: ${x.title}\\n${x.content}\\nURL: ${x.url}`).join(\"\\n\\n\") + (d.answer? `\\n\\nSummary: ${d.answer}` : \"\");\n } catch { return \"\"; }\n}\nasync function translateToEnglish(hebrewPrompt: string, geminiKey: string): Promise {\n if (!hebrewPrompt ||!geminiKey) return hebrewPrompt;\n if (/^[a-zA-Z0-9,.'\"-]+$/.test(hebrewPrompt) && hebrewPrompt.length < 80) return hebrewPrompt;\n try {\n const url = \"https://generativelanguage.googleapis.com/v1beta/models/gemini-flash-lite-latest:generateContent?key=\" + encodeURIComponent(geminiKey);\n const r = await fr(url, { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify({ contents: [{ parts: [{ text: `Translate to English detailed Stable Diffusion prompt, ONLY English. Hebrew: \"${hebrewPrompt}\"` }] }], generationConfig: { temperature: 0.2, maxOutputTokens: 150 } }) }, 0);\n if (!r.ok) return hebrewPrompt;\n const d = await r.json(); const t = d?.candidates?.[0]?.content?.parts?.[0]?.text?.trim() || \"\"; return t.replace(/^\"|\"$/g,\"\").slice(0,250) || hebrewPrompt;\n } catch { return hebrewPrompt; }\n}\nasync function genImage(promptEn: string, acc: string, tok: string): Promise {\n const pk = \"image\", p = \"🎨 תמונה\";\n const safeSeed = Math.floor(Math.random() * 999999) + 1;\n const enhancedPrompt = `${promptEn}, highly detailed, 4k, photorealistic`;\n const encPrompt = encodeURIComponent(enhancedPrompt);\n const pollinationsUrl = `https://image.pollinations.ai/prompt/${encPrompt}?width=1024&height=1024&model=flux&seed=${safeSeed}&nologo=true&enhance=true`;\n if (acc && tok) {\n try {\n const url = \"https://api.cloudflare.com/client/v4/accounts/\" + encodeURIComponent(acc) + \"/ai/run/\" + CF_IMAGE_MODEL;\n const r = await fr(url, { method: \"POST\", headers: { \"Content-Type\": \"application/json\", Authorization: \"Bearer \" + tok }, body: JSON.stringify({ prompt: enhancedPrompt, num_steps: 20 }) }, 0);\n if (r.ok) {\n const buf = await r.arrayBuffer();\n if (buf.byteLength > 5000) {\n const bytes = new Uint8Array(buf);\n let binary = \"\";\n const chunkSize = 8192;\n for (let i = 0; i < bytes.length; i += chunkSize) {\n binary += String.fromCharCode.apply(null, Array.from(bytes.subarray(i, i + chunkSize)) as any);\n }\n const b64 = btoa(binary);\n return { p, pk, a: `![תמונה](data:image/png;base64,${b64})\\n\\n**Prompt:** ${promptEn}`, ms: 0 };\n }\n }\n } catch {}\n }\n return { p, pk, a: `![תמונה](${pollinationsUrl})\\n\\n**Prompt:** ${promptEn}` };\n}\nasync function askGemini(prompt: string, k: string): Promise {\n const pk = \"gemini\", p = PL[pk]; if (!k) return { p, pk, a: \"\", e: \"לא מוגדר\" }; const s = Date.now(), fb: AIR = { p, pk, a: \"\", e: \"פסק זמן\", ms: 0 };\n return wt((async () => {\n try {\n const url = \"https://generativelanguage.googleapis.com/v1beta/models/\" + MODELS.gemini + \":generateContent?key=\" + encodeURIComponent(k);\n const r = await fr(url, { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify({ systemInstruction: { parts: [{ text: ANON }] }, contents: [{ parts: [{ text: prompt }] }], generationConfig: { temperature: 0.7, maxOutputTokens: 3000 } }) });\n if (!r.ok) return { p, pk, a: \"\", e: `שגיאה ${r.status}`, ms: Date.now() - s };\n const d = await r.json(); const a = d?.candidates?.[0]?.content?.parts?.[0]?.text?.trim() || \"\"; if (!a) return { p, pk, a: \"\", e: \"ריק\", ms: Date.now() - s };\n return { p, pk, a, ms: Date.now() - s, ti: et(prompt), to: et(a) };\n } catch (e) { return { p, pk, a: \"\", e: String(e).slice(0, 120), ms: Date.now() - s }; }\n })(), P_MS, fb);\n}\nasync function askCompat(prompt: string, k: string, pk: string, endpoint: string): Promise {\n const p = PL[pk]; if (!k) return { p, pk, a: \"\", e: \"לא מוגדר\" }; const s = Date.now(), fb: AIR = { p, pk, a: \"\", e: \"פסק זמן\", ms: 0 };\n return wt((async () => {\n try {\n const r = await fr(endpoint, { method: \"POST\", headers: { \"Content-Type\": \"application/json\", Authorization: \"Bearer \" + k }, body: JSON.stringify({ model: MODELS[pk], messages: [{ role: \"system\", content: ANON }, { role: \"user\", content: prompt }], temperature: 0.7, max_tokens: 3000 }) });\n if (!r.ok) return { p, pk, a: \"\", e: `שגיאה ${r.status}`, ms: Date.now() - s };\n const d = await r.json(); const a = d?.choices?.[0]?.message?.content?.trim() || \"\"; if (!a) return { p, pk, a: \"\", e: \"ריק\", ms: Date.now() - s };\n return { p, pk, a, ms: Date.now() - s, ti: et(prompt), to: et(a) };\n } catch (e) { return { p, pk, a: \"\", e: String(e).slice(0, 120), ms: Date.now() - s }; }\n })(), P_MS, fb);\n}\nasync function askProvider(prompt: string, key: string, pk: string): Promise {\n if (pk === \"gemini\") return askGemini(prompt, key);\n const eps: Record = { groq: \"https://api.groq.com/openai/v1/chat/completions\", cerebras: \"https://api.cerebras.ai/v1/chat/completions\", nvidia: \"https://integrate.api.nvidia.com/v1/chat/completions\" };\n return askCompat(prompt, key, pk, eps[pk]);\n}\nasync function cfCall(messages: any[], acc: string, tok: string): Promise {\n try { const url = \"https://api.cloudflare.com/client/v4/accounts/\" + encodeURIComponent(acc) + \"/ai/run/\" + CF_MODEL; const r = await fr(url, { method: \"POST\", headers: { \"Content-Type\": \"application/json\", Authorization: \"Bearer \" + tok }, body: JSON.stringify({ messages, max_tokens: 3000 }) }); if (!r.ok) return \"\"; const d = await r.json(); return String(d?.result?.response || \"\").trim(); } catch { return \"\"; }\n}\nfunction buildJP(q: string, answers: AIR[], hist: Msg[], searchCtx: string) {\n const valid = answers.filter(a => a.a && a.a.length > 20 &&!a.a.includes(\"המערכת פותחה על ידי מוטי כץ\") );\n const fallbackValid = valid.length===0? answers.filter(a=>a.a && a.a.length>0) : valid;\n const txt = fallbackValid.map(a => \"--- \" + a.p + \" ---\\n\" + tr(a.a, MAX_JA)).join(\"\\n\\n\");\n const histTxt = hist.length? \"History:\\n\" + hist.map(m => (m.role === \"user\"? \"User: \" : \"Assistant: \") + tr(m.content, 400)).join(\"\\n\") + \"\\n\\n\" : \"\";\n const searchBlock = searchCtx? `\\n\\nWEB SEARCH (FRESH ${new Date().toLocaleDateString('he-IL')}):\\n${tr(searchCtx, 4000)}\\n` : \"\";\n return `Judge in Hebrew 350-500 words. Use search if provided.\\n\\n${histTxt}Question: ${q}\\n${searchBlock}\\nModels:\\n${txt}\\n\\nOUTPUT:\\nVERDICT: SUFFICIENT\\nFOLLOWUP: NONE\\nANSWER:\\n[Detailed Hebrew answer]`;\n}\nfunction parseJP(out: string) { const s = String(out || \"\"); const a = s.match(/ANSWER:\\s*([\\s\\S]*)/i); return { verdict: \"SUFFICIENT\", followup: \"\", answer: a? a[1].trim() : s }; }\n\nfunction page(cid: string, convs: any[], msgs: Msg[], avail: string[]): Response {\n const html = `Multi-AI v20.2

שיחה חדשה

\n`;\n return new Response(html, { headers: { \"Content-Type\": \"text/html; charset=utf-8\", \"Cache-Control\": \"no-store\" } });\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const GEMINI_API_KEY = Deno.env.get(\"GEMINI_API_KEY\") || \"\";\n const GROQ_API_KEY = Deno.env.get(\"GROQ_API_KEY\") || \"\";\n const CEREBRAS_API_KEY = Deno.env.get(\"CEREBRAS_API_KEY\") || \"\";\n const NVIDIA_API_KEY = Deno.env.get(\"NVIDIA_API_KEY\") || \"\";\n const CLOUDFLARE_ACCOUNT_ID = Deno.env.get(\"CLOUDFLARE_ACCOUNT_ID\") || \"\";\n const CLOUDFLARE_API_TOKEN = Deno.env.get(\"CLOUDFLARE_API_TOKEN\") || \"\";\n const TAVILY_API_KEY = Deno.env.get(\"TAVILY_API_KEY\") || \"\";\n await dbInit();\n\n if (req.method === \"DELETE\" && url.searchParams.get(\"action\") === \"delete\") {\n const ok = await dbDel(url.searchParams.get(\"c\") || \"\"); return new Response(JSON.stringify({ ok }), { headers: { \"Content-Type\": \"application/json\" } });\n }\n if (req.method === \"POST\" && url.searchParams.get(\"action\") === \"rename\") {\n try { const fd = await req.formData(); const ok = await dbRen(String(fd.get(\"id\") || \"\"), String(fd.get(\"title\") || \"\")); return new Response(JSON.stringify({ ok }), { headers: { \"Content-Type\": \"application/json\" } }); } catch { return new Response(JSON.stringify({ ok: false }), { status: 400, headers: { \"Content-Type\": \"application/json\" } }); }\n }\n if (req.method === \"GET\" && url.searchParams.get(\"action\") === \"export_full\") {\n const cid = url.searchParams.get(\"c\") || \"\"; if (!cid) return new Response(\"חסר c\", { status: 400 });\n const full = await dbFull(cid); const raws = await dbGetRaw(cid);\n let md = \"# שיחה מלאה\\\\n\\\\n---\\\\n\\\\n\";\n const questions = full.filter(m => m.role === \"user\");\n for (let i = 0; i < questions.length; i++) {\n const q = questions[i]; md += \"## 👤 \" + (i+1) + \"\\\\n\\\\n\" + q.content + \"\\\\n\\\\n\";\n const relatedRaw = raws.filter(r => r.question === q.content);\n for (const r of relatedRaw) { md += \"### \" + r.label + \"\\\\n\\\\n\" + r.answer + \"\\\\n\\\\n\"; }\n const nextUserIdx = full.findIndex((m, idx) => idx > full.indexOf(q) && m.role === \"user\");\n const finalAns = full.slice(full.indexOf(q)+1, nextUserIdx === -1? undefined : nextUserIdx).find(m => m.role === \"assistant\");\n if (finalAns) md += \"### 🤖 שופט\\\\n\\\\n\" + finalAns.content + \"\\\\n\\\\n---\\\\n\\\\n\";\n }\n return new Response(md, { headers: { \"Content-Type\": \"text/markdown; charset=utf-8\", \"Content-Disposition\": \"attachment; filename=chat-full-\" + Date.now() + \".md\" } });\n }\n if (req.method === \"GET\" && url.searchParams.get(\"action\") === \"export_json\") {\n const cid = url.searchParams.get(\"c\") || \"\"; if (!cid) return new Response(\"חסר c\", { status: 400 });\n const full = await dbFull(cid); const raws = await dbGetRaw(cid);\n return new Response(JSON.stringify({ conversation_id: cid, messages: full, raw_answers: raws, exported_at: Date.now() }, null, 2), { headers: { \"Content-Type\": \"application/json; charset=utf-8\", \"Content-Disposition\": \"attachment; filename=chat-\" + Date.now() + \".json\" } });\n }\n\n if (req.method === \"POST\") {\n let q = \"\", cid = \"\", prov = \"\"; let fileText = \"\"; let forceSearchParam = \"auto\"; let forceRecalcParam = false;\n try {\n const fd = await req.formData();\n q = String(fd.get(\"q\") || \"\").trim(); cid = String(fd.get(\"c\") || \"\"); prov = String(fd.get(\"p\") || \"\");\n forceSearchParam = String(fd.get(\"forceSearch\")||\"auto\");\n forceRecalcParam = String(fd.get(\"forceRecalc\")||\"\") === \"true\";\n const f = fd.get(\"file\") as File | null;\n if (f) { try { fileText = \"\\\\n\\\\n[קובץ: \" + f.name + \"]\\\\n\" + (await f.text()).slice(0,5000); } catch {} }\n } catch { return new Response(JSON.stringify({ error: \"בקשה לא תקינה\" }), { status: 400, headers: { \"Content-Type\": \"application/json\" } }); }\n if (fileText) q = (q + fileText).slice(0, MAX_Q);\n if (!q) return new Response(JSON.stringify({ error: \"חסרה שאלה\" }), { status: 400, headers: { \"Content-Type\": \"application/json\" } });\n if (q.length > MAX_Q) return new Response(JSON.stringify({ error: \"ארוכה מדי\" }), { status: 400, headers: { \"Content-Type\": \"application/json\" } });\n if (!cid) cid = \"conv_\" + Date.now() + \"_\" + Math.random().toString(36).slice(2, 6);\n if (!checkRateLimit(cid)) return new Response(JSON.stringify({ error: \"יותר מדי בקשות\" }), { status: 429, headers: { \"Content-Type\": \"application/json\" } });\n\n const lower = q.toLowerCase();\n const isImageReq = lower.startsWith(\"/image \") || lower.startsWith(\"/תמונה \") || lower.includes(\"צייר לי\") || lower.includes(\"תמונה של\") || q.trim().startsWith(\"🎨\") || lower.startsWith(\"אני רוצה תמונה\");\n if (isImageReq) {\n let rawPrompt = q.replace(/\\/image\\s*/i,\"\").replace(/\\/תמונה\\s*/i,\"\").replace(/צייר לי\\s*/i,\"\").replace(/אני רוצה תמונה של\\s*/i,\"\").replace(/אני רוצה תמונה\\s*/i,\"\").replace(/תמונה של\\s*/i,\"\").replace(/🎨/g,\"\").trim();\n if (!rawPrompt) rawPrompt = q;\n const enPrompt = await translateToEnglish(rawPrompt, GEMINI_API_KEY);\n const imgRes = await genImage(enPrompt, CLOUDFLARE_ACCOUNT_ID, CLOUDFLARE_API_TOKEN);\n await dbSave(cid, \"user\", q); await dbSave(cid, \"assistant\", imgRes.a); await dbMeta(cid, tr(q,60));\n return new Response(JSON.stringify({ answer: imgRes.a, raw: [imgRes], memory: 0, search:false, verification:false, direct:true, totalTokens:0, conversationId: cid }), { headers: { \"Content-Type\": \"application/json; charset=utf-8\" } });\n }\n\n const qh = qHash(q);\n const skipCache = isNewsQuery(q) || forceSearchParam==='true' || forceRecalcParam;\n if (!skipCache) {\n const cached = await getCache(qh);\n if (cached) {\n await dbSave(cid, \"user\", q); await dbSave(cid, \"assistant\", cached.answer); await dbMeta(cid, tr(q,60));\n return new Response(JSON.stringify({ answer: cached.answer, raw: cached.raw, memory: 0, search:false, verification:false, direct:false, totalTokens:0, conversationId: cid, cached:true }), { headers: { \"Content-Type\": \"application/json; charset=utf-8\" } });\n }\n }\n\n let enabled = prov? prov.split(\",\").map(s => s.trim()).filter(s => ALL.includes(s)) : ALL.slice();\n const keyMap: Record = { gemini: GEMINI_API_KEY, groq: GROQ_API_KEY, cerebras: CEREBRAS_API_KEY, nvidia: NVIDIA_API_KEY };\n enabled = enabled.filter(p => keyMap[p]); if (enabled.length === 0) return new Response(JSON.stringify({ error: \"אין מנועים\" }), { status: 400, headers: { \"Content-Type\": \"application/json\" } });\n\n const hist = await dbHist(cid);\n let shouldSearch = false;\n if (TAVILY_API_KEY) {\n if (forceSearchParam === 'true') shouldSearch = true;\n else if (forceSearchParam === 'false') shouldSearch = isNewsQuery(q);\n else shouldSearch = isNewsQuery(q) || q.length>10;\n }\n const searchCtx = shouldSearch? await wt(webSearch(q, TAVILY_API_KEY), 7000, \"\") : \"\";\n const fullPrompt = ctx(hist, q) + (searchCtx? \"\\n\\nWeb search results:\\n\" + searchCtx : \"\");\n const keys = { gemini: GEMINI_API_KEY, groq: GROQ_API_KEY, cerebras: CEREBRAS_API_KEY, nvidia: NVIDIA_API_KEY } as any;\n const round1 = await Promise.all(enabled.map(pk => askProvider(fullPrompt, keys[pk], pk)));\n\n let finalAnswer = \"\";\n const valid = round1.filter(a => a.a && a.a.length > 20 &&!a.a.includes(\"המערכת פותחה על ידי מוטי כץ\") );\n const fallbackValid = valid.length>0? valid : round1.filter(a=>a.a && a.a.length>0);\n if (fallbackValid.length === 0) {\n if (searchCtx) {\n const jpFallback = buildJP(q, [], hist, searchCtx);\n let jrFallback = await wt(cfCall([{ role: \"system\", content: JSP }, { role: \"user\", content: jpFallback }], CLOUDFLARE_ACCOUNT_ID, CLOUDFLARE_API_TOKEN), J_MS, \"\");\n if (!jrFallback && GEMINI_API_KEY) { const g = await askGemini(jpFallback, GEMINI_API_KEY); jrFallback = g.a; }\n const parsedFallback = parseJP(jrFallback || \"\");\n finalAnswer = parsedFallback.answer || `${searchCtx.slice(0,2000)}`;\n } else {\n finalAnswer = \"כל המנועים נכשלו (Groq 429 / Cerebras 402 = נגמר קרדיט). בדוק ENV.\";\n }\n } else if (fallbackValid.length === 1) { finalAnswer = fallbackValid[0].a; }\n else {\n const jp = buildJP(q, round1, hist, searchCtx);\n let jr = await wt(cfCall([{ role: \"system\", content: JSP }, { role: \"user\", content: jp }], CLOUDFLARE_ACCOUNT_ID, CLOUDFLARE_API_TOKEN), J_MS, \"\");\n if (!jr && GEMINI_API_KEY) { const g = await askGemini(jp, GEMINI_API_KEY); jr = g.a; }\n const parsed = parseJP(jr || \"\");\n finalAnswer = parsed.answer || fallbackValid[0].a;\n }\n await dbSave(cid, \"user\", q); await dbSaveRaw(cid, q, round1.filter(r=>r.a)); await dbSave(cid, \"assistant\", finalAnswer); await dbMeta(cid, tr(q, 60));\n if (!isNewsQuery(q)) await setCache(qh, q, finalAnswer, round1);\n const totalTokens = round1.reduce((s, a) => s + (a.ti || 0) + (a.to || 0), 0);\n return new Response(JSON.stringify({ answer: finalAnswer, raw: round1, memory: hist.length, search:!!searchCtx, searchContent: searchCtx, verification:false, direct: fallbackValid.length===1, totalTokens, conversationId: cid, cached:false }), { headers: { \"Content-Type\": \"application/json; charset=utf-8\" } });\n }\n\n const cid = url.searchParams.get(\"c\") || \"\"; const convs = await dbList(); const msgs = cid? 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