\n\n\n\n`);\n \nconst resobj = resp.res;//new Response(c.html(resp) ,new Headers([...c.req.raw.headers.entries()]));\n// throw new Error(c.text(resobj));\n return resobj;\n }\n catch(err:Any){\n return new Response(await c.text(err.message+ ' '+err.stack));\n }\n});\nexport default app.fetch;","deleted","label","children",[],[160],{"_105":179,"_96":180,"_161":181,"_163":-5,"_164":146,"_165":182,"_166":183,"_107":184,"_101":185,"_169":186,"_171":187,"_173":22,"_174":-5,"_175":188,"_99":189},"d1ca60e6-f953-11f0-8c01-42dde27851f2","ZebraAgentNodeFrontendHtml.ts","bf1075f8-f944-11f0-91d0-42dde27851f2",269,true,["D",1769279884566],47,"script","export const OrchestratorHtml =`\n\n\n \n \n VAL_ORCHESTRATOR_v8.0\n \n \n\n\n

\n\n\n\n`;",[],[180],{"_105":191,"_96":192,"_161":193,"_163":-5,"_164":146,"_165":194,"_166":22,"_107":195,"_101":196,"_169":170,"_171":197,"_173":22,"_174":-5,"_175":198,"_99":199},"d5d5db62-f7d6-11f0-a74d-42dde27851f2","ZedbraAgentHub.ts","9b00961c-f7d6-11f0-b252-42dde27851f2",10,["D",1769116253097],5,"/** @jsxImportSource npm:hono/jsx */\n//Agent Hub\nimport { Hono } from \"npm:hono\";\n\n// --- STATE MANAGEMENT ---\n// In a real deployed Val, you might use SQLite or Blob storage\n// For simplicity in Val Town, we use in-memory global (resets on deploy/sleep)\n// or you can hardcode your worker URLs.\nconst NODES = [\n // IMPORTANT: Use the web endpoint URLs, not the editor URLs.\n // Format: https://-.web.val.run\n \"https://agentnode1.val.run\",\n \"https://agentnode2.val.run\",\n \"https://agentnode3.val.run\",\n \"https://agentnode4.val.run\",\n \"https://agentnode5.val.run\",\n \"https://agentnode6.val.run\",\n \"https://agentnode7.val.run\",\n \"https://agentnode8.val.run\",\n \"https://agentnode9.val.run\",\n \"https://agentnode10.val.run\",\n];\n\nlet roundRobinIndex = 0;\n\nconst app = new Hono();\n\napp.post(\"/\", async (c) => {\n const body = await c.req.json();\n const { prompt } = body;\n\n if (!prompt) {\n return c.json({ error: \"No prompt provided\" }, 400);\n }\n\n if (NODES.length === 0) {\n return c.json({ error: \"No worker nodes available\" }, 503);\n }\n\n // Round Robin Selection\n const nodeUrl = NODES[roundRobinIndex];\n roundRobinIndex = (roundRobinIndex + 1) % NODES.length;\n\n try {\n console.log(`Delegating to node: ${nodeUrl}`);\n\n // Forward request to worker node\n const response = await fetch(nodeUrl, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ prompt }),\n });\n\n if (!response.ok) {\n throw new Error(`Worker node failed: ${response.statusText}`);\n }\n\n const data = await response.text();\n\n return c.json({\n result: data,\n processedBy: nodeUrl,\n timestamp: Date.now(),\n });\n } catch (err) {\n return c.json({ error: err.message }, 500);\n }\n});\n\n// Health check\napp.get(\"/\", (c) => c.text(\"Hive Mind Hub Online\"));\n\n// Explicit async export for Val Town compatibility\nexport default async function (req: Request): Promise {\n return app.fetch(req);\n}",[],[192],{"_105":201,"_96":202,"_161":203,"_163":-5,"_164":146,"_165":204,"_166":22,"_107":205,"_101":206,"_169":170,"_171":207,"_173":22,"_174":208,"_175":209,"_99":210},"8ad8191e-f924-11f0-84f7-42dde27851f2","ZedbraAgentHubBackend.ts","4cd2e020-f7d7-11f0-9c17-42dde27851f2",175,["D",1769259579189],6,"import { sqlite } from \"https://esm.town/v/std/sqlite\";\n\n// --- SERVER-SIDE SDK (Persistent & Grounded) ---\nclass VT {\n static token = Deno.env.get(\"APITOKEN\");\n static async initDB() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS brutal_logs_v2 (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n time TEXT,\n method TEXT,\n url TEXT,\n status INTEGER,\n res TEXT\n )\n `);\n }\n\n static async log(method: string, url: string, status: number, resBody: any) {\n const resStr = typeof resBody === \"object\"\n ? JSON.stringify(resBody, null, 2)\n : String(resBody);\n await sqlite.execute({\n sql:\n `INSERT INTO brutal_logs_v2 (time, method, url, status, res) VALUES (?, ?, ?, ?, ?)`,\n args: [new Date().toLocaleTimeString(), method, url, status, resStr],\n });\n }\n\n static async run(\n path: string,\n method: string = \"GET\",\n body?: unknown,\n query: Record = {},\n version: \"v1\" | \"v2\" = \"v2\",\n ) {\n const base = version === \"v2\"\n ? \"https://api.val.town/v2\"\n : \"https://api.val.town/v1\";\n\n const url = new URL(base + path);\n for (const [k, v] of Object.entries(query)) url.searchParams.set(k, v);\n\n const headers: Record = {\n \"Content-Type\": \"application/json\",\n \"Cache-Control\": \"no-store\",\n };\n\n await this.log(method, url.pathname + url.search, 200, path);\n\n if (VT.token) headers.Authorization = `Bearer ` + VT.token;\n\n const res = await fetch(url.toString(), {\n method,\n headers,\n body: method === \"GET\" || body === undefined\n ? null\n : JSON.stringify(body),\n });\n\n const text = await res.text();\n const data = (() => {\n try {\n return JSON.parse(text);\n } catch {\n return text;\n }\n })();\n\n await this.log(method, url.pathname + url.search, res.status, data);\n\n return {\n ok: res.ok,\n status: res.status,\n data,\n };\n }\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const p = url.pathname;\n const id = url.searchParams.get(\"id\");\n\n // --- CORS HEADERS ---\n const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, PUT, PATCH, DELETE, 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 const jsonResponse = (data: any, status = 200) => {\n return new Response(JSON.stringify(data), {\n status,\n headers: { ...corsHeaders, \"Content-Type\": \"application/json\" },\n });\n };\n\n await VT.initDB();\n\n try {\n // --- HEALTH CHECK (VALIDATION) ---\n if (p === \"/api/health\") {\n return jsonResponse({\n status: \"OK\",\n auth_configured: !!VT.token, // Checks if Env Var is set\n timestamp: Date.now(),\n });\n }\n\n if (p === \"/api/vals\") {\n return jsonResponse(\n (await VT.run(\"/me/vals\", \"GET\", null, { limit: \"50\" })).data,\n );\n }\n\n if (p === \"/api/details\") {\n return jsonResponse(\n (await VT.run(`/vals/${id}`, \"GET\", null, { cb: crypto.randomUUID() }))\n .data,\n );\n }\n\n if (p === \"/api/logs\") {\n const r = await sqlite.execute(\n \"SELECT * FROM brutal_logs_v2 ORDER BY id DESC LIMIT 30\",\n );\n return jsonResponse(r.rows);\n }\n\n if (p === \"/api/clear-logs\") {\n await sqlite.execute(\"DELETE FROM brutal_logs_v2\");\n return jsonResponse({ ok: true });\n }\n\n if (p === \"/api/set-domain\") {\n const { valId, domain } = await req.json();\n return jsonResponse(\n await VT.run(`/vals/${valId}`, \"PATCH\", { customDomain: domain }),\n );\n }\n\n if (p === \"/api/files\") {\n const r = await VT.run(`/vals/${id}/files`, \"GET\", null, {\n path: \"\",\n cb: crypto.randomUUID(),\n });\n return jsonResponse(r.data.data || r.data || []);\n }\n\n if (p === \"/api/save\") {\n const { valId, path, content, type } = await req.json();\n const cleanPath = (path || \"main.ts\").replace(/^\\/+/, \"\");\n return jsonResponse(\n await VT.run(`/vals/${valId}/files`, \"PUT\", { content, type: type }, {\n path: cleanPath,\n }),\n );\n }\n\n if (p === \"/api/content\") {\n const path = url.searchParams.get(\"path\") || \"\";\n const res = await fetch(\n `https://api.val.town/v2/vals/${id}/files/content?path=${\n encodeURIComponent(path)\n }&cb=${crypto.randomUUID()}`,\n {\n headers: { \"Authorization\": `Bearer ${VT.token}` },\n },\n );\n return new Response(await res.text(), {\n headers: {\n ...corsHeaders,\n \"Content-Type\": \"text/plain\",\n \"Cache-Control\": \"no-store\",\n },\n });\n }\n } catch (e: any) {\n return jsonResponse({ error: e.message }, 500);\n }\n\n return jsonResponse({\n status: \"API_ONLINE\",\n endpoints: \"/api/*\",\n }, 200);\n}","zedbraagenthubbackend",[],[202],{"_105":212,"_96":213,"_161":214,"_163":-5,"_164":146,"_165":215,"_166":22,"_107":216,"_101":217,"_169":170,"_171":218,"_173":22,"_174":-5,"_175":219,"_99":220},"ff4d7e00-f7d6-11f0-a30b-42dde27851f2","ZedbraAgentNode.ts","eaee3206-f7d6-11f0-a40f-42dde27851f2",14,["D",1769116322664],3,"/** @jsxImportSource npm:hono/jsx */\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\n//add a post request to the hub to register\n//store in database the registered status\n//do not register if already registered\n// data should include at minimum the client index\n\n//request received from hub\napp.post(\"/\", async (c) => {\n //standardize format of messaging between hub and nodes\n\n const body = await c.req.json();\n const { prompt } = body;\n\n if (!prompt) {\n return c.json({ error: \"Worker: No prompt received\" }, 400);\n }\n\n try {\n const encodedPrompt = encodeURIComponent(prompt);\n const pollinationsUrl = `https://text.pollinations.ai/${encodedPrompt}`;\n\n const response = await fetch(pollinationsUrl);\n\n if (!response.ok) {\n throw new Error(\"Pollinations API failure\");\n }\n\n const text = await response.text();\n return c.text(text);\n } catch (err) {\n return c.json({ error: err.message }, 500);\n }\n});\n\n// Explicit async export for Val Town compatibility\nexport default async function (req: Request): Promise {\n return await app.fetch(req);\n}",[],[213],{"_105":222,"_96":223,"_161":224,"_163":-5,"_164":146,"_165":225,"_166":22,"_107":226,"_101":227,"_169":170,"_171":228,"_173":22,"_174":229,"_175":230,"_99":231},"e3439240-f974-11f0-a63d-42dde27851f2","ZedbraAgentNodeFrontend.tsx","75d411c4-f7d7-11f0-8e60-42dde27851f2",657,["D",1769294087258],339,"import {Hono} from \"npm:hono\";\nimport {default as OrchestratorHtml } from \"https://esm.town/v/ziggyware/Zedbra/OrchestratorHtml.tsx\";\nimport json from \"npm:json\";\nconst app = new Hono();\nconst BACKEND_URL = \"https://zedbraagenthubbackend.val.run\";\n\napp.all(\"*\", async (c) => {\ntry{\n \n const url = new URL(c.req.url);\n\n // ---- API proxy ----\n if (url.pathname.startsWith(\"/api/\")) {\n // throw new Error(\"API proxy not yet implemented\");\n const backendPath = url.pathname + url.search;\n\n const res =await c.fetch(BACKEND_URL + backendPath, {\n method: c.req.method,\n headers: new Headers(c.req.raw.headers),\n body:\n c.req.method !== \"GET\" && c.req.method !== \"HEAD\"\n ? await c.req.text()\n : undefined,\n });\n\n // Stream the backend response straight through\n return res;\n }\n\n // ---- HTML shell ----\n const html =await fetch(\"https://ziggyware--a0fb41c2f95011f0be4742dde27851f2.web.val.run\",new Headers([...c.req.raw.headers.entries()])).then(html=>OrchestratorHtml({html},c.req.raw.headers)); // ← call the function\n//throw new Error(await html.text());\n return await new Response(c.text(html.res),new Headers({\"Content-Type\":\"text/html\"}));\n }catch(err:Any){\n console.log(err);\n return c.text(err.message+ '\\n'+err.stack);\n }\n});\n\nexport default app.fetch;","zedbraagentnodefrontend",[],[223],{"_105":233,"_96":234,"_161":235,"_163":-5,"_164":146,"_165":236,"_166":183,"_107":237,"_101":238,"_169":170,"_171":239,"_173":22,"_174":240,"_175":241,"_99":242},"f8c573ee-f907-11f0-9a3a-42dde27851f2","ZedbraNextClient.tsx","620f85c2-f7f7-11f0-94ff-42dde27851f2",130,["D",1769247308211],73,"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { Enumerable, List, Dictionary, HashSet, KeyValuePair } from \"https://esm.town/v/ziggyware/CodeUtilities/System.Collections.Generic.ts\";\nimport { CodeUtilities } from \"https://esm.town/v/ziggyware/CodeUtilities/CodeUtilities.ts\";\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const BACKEND_URL = \"https://zedbraagenthubbackend.val.run\";\n const token = Deno.env.get(\"APITOKEN\") || \"\";\nconsole.log(\"CANARY_TEST: SCRIPT STARTED SUCCESSFULLY\");\n // 1. HARDENED PROXY (Keeping the tech stack sigma)\n if (url.pathname.startsWith(\"/api/\")) {\n try {\n const backendPath = url.pathname + url.search;\n const headers = new Headers();\n headers.set(\"Authorization\", `Bearer ${token}`);\n headers.set(\"Content-Type\", req.headers.get(\"Content-Type\") || \"application/json\");\n\n const requestOptions: RequestInit = {\n method: req.method,\n headers: headers,\n };\n\n if (req.method !== \"GET\" && req.method !== \"HEAD\") {\n requestOptions.body = await req.text();\n }\n\n const res = await fetch(BACKEND_URL + backendPath, requestOptions);\n const data = await res.text();\n\n return new Response(data, {\n status: res.status,\n headers: { \"Content-Type\": \"application/json\", \"Access-Control-Allow-Origin\": \"*\" },\n });\n } catch (e) {\n return new Response(JSON.stringify({ error: \"SKIBIDI_CRASH\", message: e.message }), { status: 500 });\n }\n }\n\n // 2. FRONTEND: NEOBRUTALIST MAXIMALISM\n const html = `\n\n\n\n\nFLEET_HUB // LOCKED_IN\n\n\n\n\n

GLOBAL ERROR LOG:

\n\n\n\n`;\n\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n}","zedbranextclient",[],[234],{"_105":244,"_96":245,"_161":246,"_163":-5,"_164":146,"_165":247,"_166":183,"_107":248,"_101":217,"_169":170,"_171":249,"_173":22,"_174":-5,"_175":250,"_99":251},"7d02f36c-f7d6-11f0-9d85-42dde27851f2","ZedbraPollinateTest.ts","4a8c7c0a-f7d6-11f0-8695-42dde27851f2",4,["D",1769116104073],"/** @jsxImportSource npm:hono@3/jsx */\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\nconst PROMPT = \"Explain entropy in 5 words.\";\n\n// --- SMART VALIDATION LOGIC ---\nconst validateResponse = (tag, raw, json) => {\n // 1. Detect Throttling/Rate Limits (The \"Queue full\" edge case)\n if (\n raw.includes(\"Queue full\") || raw.includes(\"Rate limit\") ||\n raw.includes(\"too many requests\")\n ) {\n return { status: \"THROTTLED\", score: 20, reason: \"IP_RATE_LIMIT\" };\n }\n\n // 2. Detect JSON Errors\n if (json?.error) {\n return { status: \"DEGRADED\", score: 40, reason: \"API_ERROR_RETURNED\" };\n }\n\n try {\n // 3. Protocol Specific Checks\n if (tag === \"COMPAT\") {\n const isOAI = !!json?.choices?.[0]?.message?.content;\n return isOAI\n ? { status: \"HEALTHY\", score: 100 }\n : { status: \"DEGRADED\", score: 50, reason: \"INVALID_JSON_STRUCTURE\" };\n }\n\n if (tag === \"ROOT\") {\n // Root should be raw text, not a JSON string\n const isRaw = typeof raw === \"string\" && !raw.trim().startsWith(\"{\");\n return isRaw ? { status: \"HEALTHY\", score: 100 } : {\n status: \"DEGRADED\",\n score: 50,\n reason: \"EXPECTED_RAW_TEXT_GOT_JSON\",\n };\n }\n\n if (tag === \"META\") {\n // Discovery often returns a help string or a JSON info object\n const isInfo = raw.length > 50;\n return isInfo\n ? { status: \"HEALTHY\", score: 100 }\n : { status: \"FAIL\", score: 0 };\n }\n\n return { status: \"HEALTHY\", score: 100 };\n } catch {\n return { status: \"CRITICAL\", score: 0, reason: \"PARSE_EXCEPTION\" };\n }\n};\n\nconst FUNCTIONAL_GROUPS = [\n {\n name: \"ROOT_COMPLETION\",\n tag: \"ROOT\",\n configs: [{ ep: \"https://text.pollinations.ai/\", m: \"POST\", v: \"OAI_OBJ\" }],\n },\n {\n name: \"OPENAI_PROTOCOL\",\n tag: \"COMPAT\",\n configs: [{\n ep: \"https://text.pollinations.ai/openai\",\n m: \"POST\",\n v: \"OAI_OBJ\",\n }],\n },\n {\n name: \"RESOURCE_DISCOVERY\",\n tag: \"META\",\n configs: [{\n ep: \"https://text.pollinations.ai/openai\",\n m: \"GET\",\n v: \"NONE\",\n }],\n },\n {\n name: \"RELAXED_INPUT\",\n tag: \"LEGACY\",\n configs: [{\n ep: \"https://text.pollinations.ai/openai\",\n m: \"POST\",\n v: \"RAW_TEXT\",\n }],\n },\n];\n\nasync function runProbes() {\n const tasks = FUNCTIONAL_GROUPS.flatMap((group) =>\n group.configs.map(async (c) => {\n const start = Date.now();\n try {\n const response = await fetch(c.ep, {\n method: c.m,\n headers: {\n \"Content-Type\": c.v === \"RAW_TEXT\"\n ? \"text/plain\"\n : \"application/json\",\n },\n body: c.v === \"OAI_OBJ\"\n ? JSON.stringify({ messages: [{ role: \"user\", content: PROMPT }] })\n : (c.v === \"NONE\" ? null : PROMPT),\n });\n\n const raw = await response.text();\n let json = null;\n try {\n json = JSON.parse(raw);\n } catch {}\n\n const audit = validateResponse(group.tag, raw, json);\n const content = json?.choices?.[0]?.message?.content || json?.content ||\n json?.error || raw;\n\n return {\n category: group.name,\n behavior: group.tag,\n endpoint: c.ep.split(\"ai\")[1] || \"/\",\n ...audit,\n latency: `${Date.now() - start}ms`,\n preview: content.substring(0, 120),\n };\n } catch (err) {\n return {\n category: group.name,\n behavior: group.tag,\n status: \"OFFLINE\",\n score: 0,\n preview: err.message,\n };\n }\n })\n );\n return await Promise.all(tasks);\n}\n\n// --- ROUTES ---\n\napp.get(\"/api\", async (c) => {\n const data = await runProbes();\n const avgHealth = Math.round(\n data.reduce((acc, curr) => acc + curr.score, 0) / data.length,\n );\n return c.json({\n health: avgHealth,\n timestamp: new Date().toISOString(),\n results: data,\n });\n});\n\napp.get(\"/\", (c) => {\n return c.html(\n \n \n Pollinations Integrity V4\n \n \n \n \n

// SYSTEM_INTEGRITY_SCANNING...

\n NOTE: Purple indicates Val Town IP Rate-Limiting.\n

\n \n

\n \\`\n

\n \\${res.behavior}\n \\${res.latency}\n

\\${res.endpoint} | \\${res.status}

\n \\${res.reason ? '

CAUSE: ' + res.reason + '

' : ''}\n

\\${res.preview}

\n \\`).join('');\n }\n refresh();\n `,\n }}\n />\n \n ,\n );\n});\n\nexport default app.fetch;",[],[245],{"_105":253,"_96":254,"_161":255,"_163":-5,"_164":146,"_165":256,"_166":183,"_107":257,"_101":247,"_169":170,"_171":258,"_173":22,"_174":-5,"_175":259,"_99":260},"66fa58f4-f956-11f0-9197-42dde27851f2","new-file-2479.ts","2149ec16-f956-11f0-9b86-42dde27851f2",284,["D",1769280993852],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport {OrchestratorHtml} from \"https://esm.town/v/ziggyware/Zedbra/ZebraAgentNodeFrontendHtml.ts\";\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const BACKEND_URL = \"https://zedbraagenthubbackend.val.run\";\n \n // --- SERVER-SIDE PROXY ---\n if (url.pathname.startsWith(\"/api/\")) {\n const backendPath = url.pathname + url.search;\n const headers = new Headers(req.headers);\n \n\nconsole.log(req.method + \" \"+BACKEND_URL + backendPath);\n\n const res = await fetch(BACKEND_URL + backendPath, {\n method: req.method,\n headers: headers,\n body: req.method !== \"GET\" && req.method !== \"HEAD\"\n ? ((await req.text())||\"\")\n : undefined,\n });\n\nconsole.log(res||\"\");\n return res;\n}\nreturn await new Response(OrchestratorHtml, { headers: { \"Content-Type\": \"text/html\" } });\n}",[],[254],{"_105":262,"_96":100,"_161":263,"_163":-5,"_164":146,"_165":264,"_166":183,"_107":265,"_101":266,"_169":170,"_171":267,"_173":22,"_174":-5,"_175":268,"_99":269},"ec1bd4b0-f954-11f0-b7b6-42dde27851f2","6b96028e-f954-11f0-a941-42dde27851f2",278,["D",1769280358204],7,"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport {OrchestratorHtml} from \"https://esm.town/v/ziggyware/Zedbra/ZebraAgentNodeFrontendHtml.ts\";\nimport {html} from \"https://esm.sh/react@18.2.0\";\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const BACKEND_URL = \"https://zedbraagenthubbackend.val.run\";\n \n // --- SERVER-SIDE PROXY ---\n if (url.pathname.startsWith(\"/api/\")) {\n const backendPath = url.pathname + url.search;\n const headers = new Headers(req.headers);\n \n\nconsole.log(req.method + \" \"+BACKEND_URL + backendPath);\n\n const res = await fetch(BACKEND_URL + backendPath, {\n method: req.method,\n headers: headers,\n body: req.method !== \"GET\" && req.method !== \"HEAD\"\n ? 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