Multi-AI Chat

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_164":165,"_166":167},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":-7,"_61":130,"_16":-7,"_135":-5,"_17":136,"_137":138,"_28":139,"_21":140,"_23":141,"_142":-5,"_143":-5,"_144":-5,"_145":35,"_146":147,"_148":38,"_149":-5,"_150":-5,"_151":152},"routes/_app.x.$handle.$name._index",{"_11":12,"_13":14,"_15":-7,"_16":-7,"_17":18,"_19":20,"_21":22,"_23":24,"_25":-7,"_26":-5,"_27":-5,"_28":29,"_30":31,"_32":-5,"_33":-5,"_34":35,"_36":35,"_37":38},"handle","m0548540122","name","multi-ai","branchName","version","project",{"_39":79,"_13":14,"_50":80,"_81":-5,"_82":35,"_83":84,"_85":84,"_86":87,"_88":-5,"_89":90,"_91":43,"_92":38,"_93":-5,"_94":-5,"_95":67,"_96":97,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":103,"_104":103,"_105":106,"_107":106,"_108":106,"_109":103,"_110":103,"_111":112,"_113":114,"_115":116,"_117":35},"tags",[],"counts",{"_66":67,"_68":69,"_70":67,"_71":72,"_73":74},"contents",[63],"readme","upstream","pull","files",[31],"preview",{"_39":40,"_13":41,"_42":43,"_44":-5,"_45":46,"_47":48,"_49":38,"_50":51,"_16":52,"_53":54,"_55":56,"_57":35,"_58":-5,"_59":60,"_61":62},"ahead","behind","showHomeCustomizationHint",false,"showHTTPPreviewSettingsHint","hasHTTPFiles",true,"id","cefc4e2d-c31e-4e3a-8595-8c58c4e7a061","main.ts","fileId","c365f270-b12e-11f1-9663-1607ee4eb77e","parentId","branchId","73c6f128-5689-487b-99c7-0a4b2fbf4b9d","branchVersion",39,"latest","createdAt",["D",1789515296527],38,"fileType","http","content","// Multi-AI Chat v17 - cleaned & fixed\n// Developer: Moti Katz\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\ninterface AIR {\n p: string;\n pk: string;\n a: string;\n e?: string;\n ms?: number;\n ti?: number;\n to?: number;\n}\ninterface Msg {\n role: \"user\" | \"assistant\";\n content: string;\n ts?: number;\n}\n\nconst MODELS: Record = {\n gemini: \"gemini-flash-lite-latest\",\n groq: \"openai/gpt-oss-120b\",\n cerebras: \"gpt-oss-120b\",\n nvidia: \"meta/llama-3.3-70b-instruct\",\n};\nconst CF_MODEL = \"@cf/meta/llama-3.3-70b-instruct-fp8-fast\";\nconst P_MS = 15000, J_MS = 25000, RETRY_MS = 1500, RETRIES = 1;\nconst MAX_Q = 4000, MAX_JA = 700, MAX_HIST = 10, MAX_CONV = 50;\nconst ALL = [\"gemini\", \"groq\", \"cerebras\", \"nvidia\"];\nconst PL: Record = {\n gemini: \"מנוע 1\",\n groq: \"מנוע 2\",\n cerebras: \"מנוע 3\",\n nvidia: \"מנוע 4\",\n};\n\nconst ANON =\n \"You are a helpful AI assistant developed by Moti Katz. If anyone asks who created you, who developed this system, or about the technology behind it, you must answer ONLY: 'המערכת פותחה על ידי מוטי כץ.' Never reveal or hint at underlying AI models, API providers, cloud platforms, programming languages, architecture, or any technical implementation details. If pressed, repeat only that Moti Katz developed this system. Always answer in Hebrew when appropriate.\";\nconst JSP =\n \"You are a precise judge. Answer in Hebrew. Never reveal technical details about the system, its creator, models, or infrastructure. If asked, answer only: 'המערכת פותחה על ידי מוטי כץ.'\";\n\nasync function wt(p: Promise, ms: number, fb: T): Promise {\n let t: any;\n const tp = new Promise((r) => {\n t = setTimeout(() => r(fb), ms);\n });\n try {\n return await Promise.race([p, tp]);\n } finally {\n if (t) clearTimeout(t);\n }\n}\nasync function fr(\n url: string,\n o: RequestInit,\n mr = RETRIES,\n): Promise {\n let last: Response | null = null;\n for (let i = 0; i <= mr; i++) {\n const r = await fetch(url, o);\n if (r.status !== 429) return r;\n last = r;\n if (i < mr) await new Promise((x) => setTimeout(x, RETRY_MS));\n }\n return last as Response;\n}\nfunction tr(s: string, n: number) {\n if (!s) return \"\";\n return s.length <= n ? s : s.slice(0, n) + \"...\";\n}\nfunction et(s: string) {\n if (!s) return 0;\n return Math.max(1, Math.round(s.length / 4));\n}\nfunction sj(d: unknown) {\n return JSON.stringify(d).replace(//g, \"\\\\u003e\")\n .replace(/&/g, \"\\\\u0026\");\n}\n\nasync function dbInit() {\n try {\n await sqlite.execute(\n \"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 );\n await sqlite.execute(\n \"CREATE INDEX IF NOT EXISTS idx_conv_id ON conversations(conversation_id)\",\n );\n await sqlite.execute(\n \"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 );\n } catch {}\n}\nasync function dbHist(cid: string): Promise {\n if (!cid) return [];\n try {\n const r = await sqlite.execute({\n sql:\n \"SELECT role, content FROM conversations WHERE conversation_id =? ORDER BY created_at DESC LIMIT?\",\n args: [cid, MAX_HIST],\n });\n return (r.rows as any[] || []).map(\n (row) => ({\n role: String(row.role) === \"user\" ? \"user\" : \"assistant\",\n content: String(row.content || \"\"),\n } as Msg)\n ).filter((m) => m.content).reverse();\n } catch {\n return [];\n }\n}\nasync function dbSave(cid: string, role: string, content: string) {\n if (!cid || !content) return;\n try {\n await sqlite.execute({\n sql:\n \"INSERT INTO conversations (conversation_id, role, content, created_at) VALUES (?,?,?,?)\",\n args: [cid, role, content, Date.now()],\n });\n } catch {}\n}\nasync function dbMeta(cid: string, title: string) {\n if (!cid) return;\n try {\n const ex = await sqlite.execute({\n sql: \"SELECT conversation_id FROM conv_meta WHERE conversation_id =?\",\n args: [cid],\n });\n const now = Date.now();\n if ((ex.rows as any[]).length === 0) {\n await sqlite.execute({\n sql:\n \"INSERT INTO conv_meta (conversation_id, title, created_at, updated_at) VALUES (?,?,?,?)\",\n args: [cid, title, now, now],\n });\n } else {await sqlite.execute({\n sql: \"UPDATE conv_meta SET updated_at =? WHERE conversation_id =?\",\n args: [now, cid],\n });}\n } catch {}\n}\nasync function dbList() {\n try {\n const r = await sqlite.execute({\n sql:\n \"SELECT conversation_id, title, updated_at FROM conv_meta ORDER BY updated_at DESC LIMIT?\",\n args: [MAX_CONV],\n });\n return (r.rows as any[] || []).map((row) => ({\n id: String(row.conversation_id || \"\"),\n title: String(row.title || \"ללא כותרת\"),\n updated_at: Number(row.updated_at) || 0,\n }));\n } catch {\n return [];\n }\n}\nasync function dbFull(cid: string): Promise {\n if (!cid) return [];\n try {\n const r = await sqlite.execute({\n sql:\n \"SELECT role, content, created_at FROM conversations WHERE conversation_id =? ORDER BY created_at ASC\",\n args: [cid],\n });\n return (r.rows as any[] || []).map(\n (row) => ({\n role: String(row.role) === \"user\" ? \"user\" : \"assistant\",\n content: String(row.content || \"\"),\n ts: Number(row.created_at) || 0,\n } as Msg)\n ).filter((m) => m.content);\n } catch {\n return [];\n }\n}\nasync function dbDel(cid: string) {\n if (!cid) return false;\n try {\n await sqlite.execute({\n sql: \"DELETE FROM conversations WHERE conversation_id =?\",\n args: [cid],\n });\n await sqlite.execute({\n sql: \"DELETE FROM conv_meta WHERE conversation_id =?\",\n args: [cid],\n });\n return true;\n } catch {\n return false;\n }\n}\nasync function dbRen(cid: string, title: string) {\n if (!cid || !title) return false;\n try {\n await sqlite.execute({\n sql:\n \"UPDATE conv_meta SET title =?, updated_at =? WHERE conversation_id =?\",\n args: [tr(title, 80), Date.now(), cid],\n });\n return true;\n } catch {\n return false;\n }\n}\n\nfunction ctx(hist: Msg[], q: string) {\n if (hist.length === 0) return q;\n return \"Previous:\\n\" + hist.map((m) =>\n (m.role === \"user\" ? \"User: \" : \"Assistant: \") + tr(m.content, 600)\n ).join(\"\\n\") + \"\\n\\nCurrent: \" + q;\n}\nasync function search(q: string, k: string) {\n if (!k || !q) return \"\";\n try {\n const r = await fetch(\"https://api.tavily.com/search\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n api_key: k,\n query: q,\n max_results: 5,\n search_depth: \"basic\",\n }),\n });\n if (!r.ok) return \"\";\n const d = await r.json();\n return (d.results as any[] || []).map((x) =>\n \"Source: \" + String(x.title || \"\") + \"\\n\" + String(x.content || \"\")\n ).join(\"\\n\\n\");\n } catch {\n return \"\";\n }\n}\nasync function askGemini(prompt: string, k: string): Promise {\n const pk = \"gemini\", p = PL[pk];\n if (!k) return { p, pk, a: \"\", e: \"no key\" };\n const s = Date.now(), fb: AIR = { p, pk, a: \"\", e: \"timeout\", ms: 0 };\n return wt(\n (async () => {\n try {\n const url = \"https://generativelanguage.googleapis.com/v1beta/models/\" +\n MODELS.gemini + \":generateContent?key=\" + encodeURIComponent(k);\n const r = await fr(url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n systemInstruction: { parts: [{ text: ANON }] },\n contents: [{ parts: [{ text: prompt }] }],\n generationConfig: { temperature: 0.7, maxOutputTokens: 2048 },\n }),\n });\n if (!r.ok) {return {\n p,\n pk,\n a: \"\",\n e: \"HTTP \" + r.status,\n ms: Date.now() - s,\n };}\n const d = await r.json();\n const a = d?.candidates?.[0]?.content?.parts?.[0]?.text?.trim() || \"\";\n if (!a) return { p, pk, a: \"\", e: \"empty\", ms: Date.now() - s };\n return { p, pk, a, ms: Date.now() - s, ti: et(prompt), to: et(a) };\n } catch (e) {\n return { p, pk, a: \"\", e: String(e).slice(0, 100), ms: Date.now() - s };\n }\n })(),\n P_MS,\n fb,\n );\n}\nasync function askOpenAICompat(\n prompt: string,\n k: string,\n pk: string,\n endpoint: string,\n): Promise {\n const p = PL[pk];\n if (!k) return { p, pk, a: \"\", e: \"no key\" };\n const s = Date.now(), fb: AIR = { p, pk, a: \"\", e: \"timeout\", ms: 0 };\n return wt(\n (async () => {\n try {\n const r = await fr(endpoint, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n Authorization: \"Bearer \" + k,\n },\n body: JSON.stringify({\n model: MODELS[pk],\n messages: [{ role: \"system\", content: ANON }, {\n role: \"user\",\n content: prompt,\n }],\n temperature: 0.7,\n max_tokens: 2048,\n }),\n });\n if (!r.ok) {return {\n p,\n pk,\n a: \"\",\n e: \"HTTP \" + r.status,\n ms: Date.now() - s,\n };}\n const d = await r.json();\n const a = d?.choices?.[0]?.message?.content?.trim() || \"\";\n if (!a) return { p, pk, a: \"\", e: \"empty\", ms: Date.now() - s };\n return { p, pk, a, ms: Date.now() - s, ti: et(prompt), to: et(a) };\n } catch (e) {\n return { p, pk, a: \"\", e: String(e).slice(0, 100), ms: Date.now() - s };\n }\n })(),\n P_MS,\n fb,\n );\n}\nasync function askProvider(\n prompt: string,\n key: string,\n pk: string,\n): Promise {\n if (pk === \"gemini\") return askGemini(prompt, key);\n const endpoints: Record = {\n groq: \"https://api.groq.com/openai/v1/chat/completions\",\n cerebras: \"https://api.cerebras.ai/v1/chat/completions\",\n nvidia: \"https://integrate.api.nvidia.com/v1/chat/completions\",\n };\n return askOpenAICompat(prompt, key, pk, endpoints[pk]);\n}\nasync function cf(messages: any[], acc: string, tok: string): Promise {\n try {\n const url = \"https://api.cloudflare.com/client/v4/accounts/\" +\n encodeURIComponent(acc) + \"/ai/run/\" + CF_MODEL;\n const r = await fr(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n Authorization: \"Bearer \" + tok,\n },\n body: JSON.stringify({ messages, max_tokens: 2048 }),\n });\n if (!r.ok) return \"\";\n const d = await r.json();\n return String(d?.result?.response || \"\").trim();\n } catch {\n return \"\";\n }\n}\nfunction buildJP(q: string, answers: AIR[]) {\n const valid = answers.filter((a) => a.a && a.a.length > 0);\n const txt = valid.map((a) => \"--- \" + a.p + \" ---\\n\" + tr(a.a, MAX_JA)).join(\n \"\\n\\n\",\n );\n return \"You are an impartial judge. Answer in Hebrew.\\n\\nQuestion: \" + q +\n \"\\n\\nAnswers:\\n\" + txt +\n \"\\n\\nRULES: CONSENSUS, CONTRADICTIONS, FILL GAPS, 150-250 words. NEVER reveal tech. If asked: 'המערכת פותחה על ידי מוטי כץ.'\\n\\nOUTPUT:\\nVERDICT: SUFFICIENT or INSUFFICIENT\\nFOLLOWUP: (1-2 Q Hebrew or NONE)\\nANSWER:\\n[Hebrew]\";\n}\nfunction parseJP(out: string) {\n const s = String(out || \"\");\n const v = s.match(/VERDICT:\\s*(SUFFICIENT|INSUFFICIENT)/i);\n const f = s.match(/FOLLOWUP:\\s*([\\s\\S]*?)(?=\\n\\s*ANSWER:|$)/i);\n const a = s.match(/ANSWER:\\s*([\\s\\S]*)/i);\n return {\n verdict: v ? v[1].toUpperCase() : \"SUFFICIENT\",\n followup: f ? f[1].trim() : \"\",\n answer: a ? a[1].trim() : s,\n };\n}\n\nfunction page(\n cid: string,\n convs: any[],\n msgs: Msg[],\n avail: string[],\n): Response {\n const html =\n `Multi-AI Chat

שיחה חדשה

\n`;\n return new Response(html, {\n headers: {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Cache-Control\": \"no-store\",\n },\n });\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\") || \"\");\n return new Response(JSON.stringify({ ok }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n if (req.method === \"POST\" && url.searchParams.get(\"action\") === \"rename\") {\n try {\n const fd = await req.formData();\n const ok = await dbRen(\n String(fd.get(\"id\") || \"\"),\n String(fd.get(\"title\") || \"\"),\n );\n return new Response(JSON.stringify({ ok }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch {\n return new Response(JSON.stringify({ ok: false }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n if (req.method === \"POST\") {\n let q = \"\", cid = \"\", prov = \"\";\n try {\n const fd = await req.formData();\n q = String(fd.get(\"q\") || \"\").trim();\n cid = String(fd.get(\"c\") || \"\");\n prov = String(fd.get(\"p\") || \"\");\n } catch {\n return new Response(JSON.stringify({ error: \"בקשה לא תקינה\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n if (!q) {\n return new Response(JSON.stringify({ error: \"חסרה שאלה\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n if (q.length > MAX_Q) {\n return new Response(JSON.stringify({ error: \"ארוכה מדי\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n if (!cid) {\n cid = \"conv_\" + Date.now() + \"_\" + Math.random().toString(36).slice(2, 6);\n }\n let enabled = prov\n ? prov.split(\",\").map((s) => s.trim()).filter((s) => ALL.includes(s))\n : ALL.slice();\n const keyMap: Record = {\n gemini: GEMINI_API_KEY,\n groq: GROQ_API_KEY,\n cerebras: CEREBRAS_API_KEY,\n nvidia: NVIDIA_API_KEY,\n };\n enabled = enabled.filter((p) => keyMap[p]);\n if (enabled.length === 0) {\n return new Response(JSON.stringify({ error: \"אין מנועים\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n const hist = await dbHist(cid);\n const fullPrompt = ctx(hist, q) +\n (TAVILY_API_KEY && q.length > 15\n ? \"\\n\\nWeb:\\n\" + await search(q, TAVILY_API_KEY)\n : \"\");\n const keys = {\n gemini: GEMINI_API_KEY,\n groq: GROQ_API_KEY,\n cerebras: CEREBRAS_API_KEY,\n nvidia: NVIDIA_API_KEY,\n } as any;\n const round1 = await Promise.all(\n enabled.map((pk) => askProvider(fullPrompt, keys[pk], pk)),\n );\n\n let finalAnswer = \"\";\n const valid = round1.filter((a) => a.a && a.a.length > 0);\n if (valid.length === 0) finalAnswer = \"כל המנועים נכשלו. נסה שוב.\";\n else if (valid.length === 1) finalAnswer = valid[0].a;\n else {\n const jp = buildJP(q, round1);\n let jr = await wt(\n cf(\n [{ role: \"system\", content: JSP }, { role: \"user\", content: jp }],\n CLOUDFLARE_ACCOUNT_ID,\n CLOUDFLARE_API_TOKEN,\n ),\n J_MS,\n \"\",\n );\n if (!jr && GEMINI_API_KEY) {\n const g = await askGemini(jp, GEMINI_API_KEY);\n jr = g.a;\n }\n const parsed = parseJP(jr || \"\");\n finalAnswer = parsed.answer || valid[0].a;\n }\n await dbSave(cid, \"user\", q);\n await dbSave(cid, \"assistant\", finalAnswer);\n await dbMeta(cid, tr(q, 60));\n return new Response(\n JSON.stringify({ answer: finalAnswer, raw: round1, conversationId: cid }),\n { headers: { \"Content-Type\": \"application/json; charset=utf-8\" } },\n );\n }\n\n const cid = url.searchParams.get(\"c\") || \"\";\n const convs = await dbList();\n const msgs = cid ? await dbFull(cid) : [];\n const avail: string[] = [];\n if (GEMINI_API_KEY) avail.push(\"gemini\");\n if (GROQ_API_KEY) avail.push(\"groq\");\n if (CEREBRAS_API_KEY) avail.push(\"cerebras\");\n if (NVIDIA_API_KEY) avail.push(\"nvidia\");\n return page(cid, convs, msgs, avail);\n}","deleted","label","children",[],"path",[41],{"_39":40,"_13":41,"_42":43,"_44":-5,"_45":46,"_47":48,"_49":38,"_50":64,"_16":52,"_53":54,"_55":56,"_57":35,"_58":-5,"_61":65},["D",1789515296527],[41],"pulls",0,"branches",1,"forks","envVars",{"_75":77,"_78":67},"connections",{"_75":67,"_76":67},"count","unfilledCount",8,"emptyCount","29982844-42bc-4943-abe2-b65cce660249",["D",1789494982975],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Multi-AI: 2 AI providers + Judge synthesis","imageUrl","userId","de465c43-a98f-45bf-a0fb-0b3e6dbf4bfd","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount","orgId","01a06b69-abd6-735e-bc5f-eadfefe0089d","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_11":12,"_134":130},"org",{"_11":12,"_127":128,"_129":130,"_89":90,"_131":132,"_133":35},"branch",{"_16":48,"_13":118,"_39":46,"_119":79,"_120":-5,"_121":-5,"_122":-5,"_123":-5,"_124":-5,"_125":14,"_126":12},"isOwned","main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","displayName","מוטי כץ","avatar","","tier","free","canRestrictVals","profileImageUrl","adoptOrgId",{"_39":79,"_13":14,"_50":160,"_81":-5,"_82":35,"_83":84,"_85":84,"_86":87,"_88":-5,"_89":90,"_91":43,"_92":38,"_93":-5,"_94":-5,"_95":67,"_96":97,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":103,"_104":103,"_105":106,"_107":106,"_108":106,"_109":103,"_110":103,"_111":161,"_113":162,"_115":163,"_117":35},"tree",[157],[157],{"_66":67,"_68":69,"_70":67,"_71":155,"_73":156},[153],"file","upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_39":40,"_13":41,"_42":43,"_44":-5,"_45":46,"_47":48,"_49":38,"_50":64,"_16":52,"_53":54,"_55":56,"_57":35,"_58":-5,"_61":154},[41],{"_75":77,"_78":67},{"_75":67,"_76":67},{"_39":40,"_13":41,"_42":43,"_44":-5,"_45":46,"_47":48,"_49":38,"_50":51,"_16":52,"_53":54,"_55":56,"_57":35,"_58":-5,"_59":158,"_61":159},[],[41],["D",1789494982975],{"_11":12,"_134":130},{"_11":12,"_127":128,"_129":130,"_89":90,"_131":132,"_133":35},{"_16":48,"_13":118,"_39":46,"_119":79,"_120":-5,"_121":-5,"_122":-5,"_123":-5,"_124":-5,"_125":14,"_126":12},"ctx",{"_111":-5,"_150":197,"_198":199,"_200":201,"_202":35,"_203":35,"_204":35,"_205":38,"_206":-5,"_207":-7,"_208":-7,"_209":67,"_210":35,"_211":35,"_212":-5,"_213":35,"_214":35,"_215":35,"_216":-5},"ENV",{"_168":169,"_170":171,"_172":118,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184,"_185":186,"_187":188,"_189":190,"_191":192,"_193":194,"_195":196},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]