[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_188":189,"_190":191},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_143":-5,"_20":144,"_22":145,"_146":147,"_148":149,"_26":150,"_24":151,"_152":-5,"_153":-5,"_154":51,"_155":156,"_157":43,"_158":-5,"_159":-5,"_160":161},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":-5,"_29":-5,"_30":-5,"_31":-5,"_32":-5},"handle","basrqtb","name","ai-chat-agent","branchName","main","version","path","index.html","project",{"_33":88,"_13":14,"_44":89,"_90":-5,"_91":51,"_92":93,"_94":93,"_95":96,"_97":-5,"_98":99,"_100":70,"_101":43,"_102":-5,"_103":-5,"_104":46,"_105":106,"_107":-5,"_108":-5,"_109":-5,"_110":-5,"_111":112,"_113":112,"_114":115,"_116":115,"_117":115,"_118":112,"_119":112,"_120":121,"_122":123,"_124":125,"_126":51},"tree",[54,55,56,57],"file",{"_33":34,"_13":19,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":45,"_17":46,"_47":24,"_48":49,"_50":51,"_52":-5,"_18":53},"contents",[],"upstream","pull","ahead","behind","envVars","id","f375325b-107d-44a7-a48c-2a19225029ad","fileId","a487b20c-8367-11f1-94b0-1607ee4eb77e","parentId","branchId","7a7a0053-e8f2-4964-a4a4-1db233b0b299","branchVersion",3,"latest",true,"createdAt",["D",1784461658944],0,"fileType","content","\n\n\n \n \n Chat IA Multi-Agente\n \n\n\n

Chat IA Multi-Agente

Chat (OpenRouter) → Delegador (OpenRouter) → Sub-agentes Enanitos (Mistral)

\n \n \n

\n \n\n\n","deleted",false,"label",[19],{"_33":80,"_13":81,"_35":82,"_37":-5,"_38":39,"_40":83,"_42":43,"_44":84,"_17":46,"_47":63,"_48":85,"_50":51,"_52":-5,"_65":86,"_18":87},{"_33":34,"_13":19,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":77,"_17":46,"_47":24,"_48":49,"_50":51,"_52":-5,"_65":78,"_18":79},{"_33":68,"_13":69,"_35":70,"_37":-5,"_38":39,"_40":71,"_42":43,"_44":72,"_17":46,"_47":73,"_48":74,"_50":51,"_52":-5,"_65":75,"_18":76},{"_33":58,"_13":59,"_35":60,"_37":-5,"_38":39,"_40":61,"_42":43,"_44":62,"_17":46,"_47":63,"_48":64,"_50":51,"_52":-5,"_65":66,"_18":67},"bbe0ff1d-0578-4850-b80d-c3b200618c67","prompts.ts","a48038c4-8367-11f1-916c-1607ee4eb77e",2,["D",1784461658940],"script","// System prompts para los 3 niveles de agentes\n\nexport const CHAT_SYSTEM_PROMPT = `[REGLAS DE COMANDOS]\n1. Recordatorios -> Escribe exactamente: RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]\n2. Alarmas -> Escribe exactamente: ALAR-MA \"[HH:MM]\"\n3. Macros (Comida + peso) -> Calcula sin decimales y responde exactamente con este formato:\n ( MAC-ROS\n carbohidratos: X\n proteinas: Y\n grasas: Z\n kcal: A )\n4. Imágenes -> Escribe exactamente: IM-AGEN [descripción]\n5. Rutas/Cómo llegar -> Escribe exactamente: CO-MOLL [ubicación]\n6. Si el usuario te pide enviar un email, responde únicamente con este formato, sin textos extra:\n CO-RREO |<>| Aquí el mensaje que quiere ser enviado\n7. Si el usuario te pide crear, generar o escribir un archivo (como JSON, HTML, TXT, etc.), responde únicamente con este formato, sin textos extra ni formato Markdown:\n AR-CHIVO |<>| Aquí va el código puro y limpio del archivo sin las comillas triples de Markdown |<>|nombre_del_archivo.extension|<>|\n8. Si el usuario te pide enviar un correo que incluya un archivo creado por ti o documento adjunto, responde únicamente con este formato, sin textos extra:\n CO-RREOAR |<>|Cuerpo o texto del mensaje|<>|nombre_del_archivo.extension|<>|\n9. Delegación (Tareas complejas/Múltiples acciones) -> Si el usuario te pide una tarea compleja que requiere usar varios comandos a la vez o varios pasos (como poner 2 alarmas a la vez, poner 2 recordatorios o mezclar funciones...), responde únicamente con este formato, redactando en el mensaje un prompt perfecto en primera persona (como si fueras el usuario pidiendo la tarea detallada paso a paso):\n AG-ENTE |<>| [Aquí el prompt optimizado y masticado paso a paso para el siguiente agente]\n10. Si te pide más de una función a la vez, ejecutarás el punto 9.`;\n\nexport const DELEGATOR_SYSTEM_PROMPT = `[REGLAS DE COMANDOS]\n1. Recordatorios -> Escribe exactamente: RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]\n2. Alarmas -> Escribe exactamente: ALAR-MA \"[HH:MM]\"\n3. Macros (Comida + peso) -> Calcula sin decimales y responde exactamente con este formato:\n ( MAC-ROS\n carbohidratos: X\n proteinas: Y\n grasas: Z\n kcal: A )\n4. Imágenes -> Escribe exactamente: IM-AGEN [descripción]\n5. Rutas/Cómo llegar -> Escribe exactamente: CO-MOLL [ubicación]\n6. Si el usuario te pide enviar un email, responde únicamente con este formato, sin textos extra:\n CO-RREO |<>| Aquí el mensaje que quiere ser enviado\n7. Si el usuario te pide crear, generar o escribir un archivo (como JSON, HTML, TXT, etc.), responde únicamente con este formato, sin textos extra ni formato Markdown:\n AR-CHIVO |<>| Aquí va el código puro y limpio del archivo sin las comillas triples de Markdown |<>|nombre_del_archivo.extension|<>|\n8. Si el usuario te pide enviar un correo que incluya un archivo creado por ti o documento adjunto, responde únicamente con este formato, sin textos extra:\n CO-RREOAR |<>|Cuerpo o texto del mensaje|<>|nombre_del_archivo.extension|<>|\n\nReparte las tareas que te piden de esta manera, tu solo repartes las tareas (sean alarmas, recordatorios, crear archivos... y lo explicas).\nSiempre deberás intentar comprimir 3 tareas en cada, es decir, si solo hay 3 las meterás todas en el primero. Explícales bien y detalladamente lo que hacer, explícales independientemente todo teniendo en cuenta que no contienen toda la información.\n\nEN-ANITO1 |><| tarea 1, 2 y 3 |><|\nEN-ANITO2 |><| tarea 4, 5 y 6 |><|...\n\nEjemplo de respuesta: pon una alarma a las 6\nEN-ANITO1 |><| Alarma a las 6 |><|\n\nEn caso de que te haga falta una enanito más potente (como para crear un HTML complejo) usarás:\nEN-ANITOPO //\\\\ [tarea] siempre al final`;\n\nexport const SUBAGENT_SYSTEM_PROMPT = `Divide la tarea en 3 enanitos básicos de esta manera:\nEN-ANITO1 |<>| aquí el comando |<>|\nEN-ANITO2 |<>| aquí el comando |<>|\nEN-ANITO3 |<>| aquí el comando |<>|\nSi la tarea no necesita las 3, dejarás vacía las que no hagan falta.\n\n[REGLAS DE COMANDOS]\n1. Recordatorios -> Escribe exactamente: RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]\n2. Alarmas -> Escribe exactamente: ALAR-MA \"[HH:MM]\"\n3. Macros (Comida + peso) -> Calcula sin decimales y responde exactamente con este formato:\n ( MAC-ROS\n carbohidratos: X\n proteinas: Y\n grasas: Z\n kcal: A )\n4. Imágenes -> Escribe exactamente: IM-AGEN [descripción]\n5. Rutas/Cómo llegar -> Escribe exactamente: CO-MOLL [ubicación]\n6. Si el usuario te pide enviar un email, responde únicamente con este formato, sin textos extra:\n CO-RREO |<>| Aquí el mensaje que quiere ser enviado\n7. Si el usuario te pide crear, generar o escribir un archivo (como JSON, HTML, TXT, etc.), responde únicamente con este formato, sin textos extra ni formato Markdown:\n AR-CHIVO |<>| Aquí va el código puro y limpio del archivo sin las comillas triples de Markdown |<>|nombre_del_archivo.extension|<>|\n8. Si el usuario te pide enviar un correo que incluya un archivo creado por ti o documento adjunto, responde únicamente con este formato, sin textos extra:\n CO-RREOAR |<>|Cuerpo o texto del mensaje|<>|nombre_del_archivo.extension|<>|\n\nInstrucción que hay que repartir:`;\n","children",[],[59],"c3d3b0e6-6839-42f5-b8ee-73e5680dea47","index.ts","a80532f6-8367-11f1-992d-1607ee4eb77e",4,["D",1784461664890],"http","import { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { orchestrate } from \"./agents.ts\";\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n\n // API: POST ?api=chat\n if (url.searchParams.get(\"api\") === \"chat\" && req.method === \"POST\") {\n try {\n const body = await req.json();\n const message = body.message;\n if (!message) {\n return Response.json({ error: \"Falta el campo 'message'\" }, { status: 400 });\n }\n\n const result = await orchestrate(message);\n\n return Response.json({ output: result.finalOutput });\n } catch (err) {\n return Response.json(\n { error: err.message || \"Error interno\" },\n { status: 500 },\n );\n }\n }\n\n // Servir la UI\n return await serveFile(req, \"index.html\");\n}\n",[],[69],["D",1784461658944],[],[19],"133b9bd5-e99f-4d74-abd6-ee0df6022592","agents.ts","a4789362-8367-11f1-b4c6-1607ee4eb77e",1,["D",1784461658933],"import {\n CHAT_SYSTEM_PROMPT,\n DELEGATOR_SYSTEM_PROMPT,\n SUBAGENT_SYSTEM_PROMPT,\n} from \"./prompts.ts\";\n\nconst OPENROUTER_URL = \"https://openrouter.ai/api/v1/chat/completions\";\nconst MISTRAL_URL = \"https://api.mistral.ai/v1/chat/completions\";\nconst OPENROUTER_MODEL = \"openai/gpt-4o-mini\";\nconst MISTRAL_MODEL = \"mistral-small-latest\";\n\n// Llama a la API de OpenRouter\nasync function callOpenRouter(\n systemPrompt: string,\n userMessage: string,\n): Promise {\n const apiKey = Deno.env.get(\"OPENROUTER_API_KEY\");\n if (!apiKey) throw new Error(\"Falta OPENROUTER_API_KEY\");\n\n const res = await fetch(OPENROUTER_URL, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: OPENROUTER_MODEL,\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userMessage },\n ],\n }),\n });\n\n if (!res.ok) {\n const err = await res.text();\n throw new Error(`OpenRouter error ${res.status}: ${err}`);\n }\n\n const data = await res.json();\n return data.choices[0].message.content;\n}\n\n// Llama a la API de Mistral\nasync function callMistral(\n systemPrompt: string,\n userMessage: string,\n): Promise {\n const apiKey = Deno.env.get(\"MISTRAL_API_KEY\");\n if (!apiKey) throw new Error(\"Falta MISTRAL_API_KEY\");\n\n const res = await fetch(MISTRAL_URL, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: MISTRAL_MODEL,\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userMessage },\n ],\n }),\n });\n\n if (!res.ok) {\n const err = await res.text();\n throw new Error(`Mistral error ${res.status}: ${err}`);\n }\n\n const data = await res.json();\n return data.choices[0].message.content;\n}\n\n// Extrae el prompt de delegación de la respuesta del chat\nfunction extractDelegationPrompt(chatResponse: string): string | null {\n const match = chatResponse.match(/AG-ENTE\\s*\\|<>\\|\\s*(.*)/s);\n return match ? match[1].trim() : null;\n}\n\n// Extrae las tareas de los enanitos de la respuesta del delegador\ninterface EnanitoTask {\n id: string;\n task: string;\n isPowerful: boolean;\n}\n\nfunction extractEnanitoTasks(delegatorResponse: string): EnanitoTask[] {\n const tasks: EnanitoTask[] = [];\n\n // EN-ANITO1 |><| tarea |><|, EN-ANITO2 |><| tarea |><|, etc.\n const normalRegex = /EN-ANITO(\\d+)\\s*\\|><\\|\\s*(.*?)\\s*\\|><\\|/gs;\n let match;\n while ((match = normalRegex.exec(delegatorResponse)) !== null) {\n tasks.push({\n id: match[1],\n task: match[2].trim(),\n isPowerful: false,\n });\n }\n\n // EN-ANITOPO //\\ [tarea] (enanito potente, siempre al final)\n const powerfulRegex = /EN-ANITOPO\\s*\\/\\/\\\\\\s*(.*?)(?:\\n|$)/s;\n const powerfulMatch = powerfulRegex.exec(delegatorResponse);\n if (powerfulMatch) {\n tasks.push({\n id: \"PO\",\n task: powerfulMatch[1].trim(),\n isPowerful: true,\n });\n }\n\n return tasks;\n}\n\n// Ejecuta un sub-agente (enanito) con Mistral\nasync function runSubAgent(task: EnanitoTask): Promise {\n const userMessage = `${SUBAGENT_SYSTEM_PROMPT}\\n\\n${task.task}`;\n const systemMessage = task.isPowerful\n ? \"Eres un enanito potente, especializado en tareas complejas como crear HTML, archivos elaborados, etc. Ejecuta la tarea con precisión.\"\n : \"Eres un enanito básico. Ejecuta las tareas asignadas siguiendo las reglas de comandos exactamente.\";\n\n return await callMistral(systemMessage, task.task);\n}\n\n// Orquesta todo el flujo: chat -> delegador -> sub-agentes\nexport async function orchestrate(userMessage: string): Promise<{\n chatResponse: string;\n delegatorResponse: string | null;\n subagentResponses: { id: string; response: string }[];\n finalOutput: string;\n}> {\n // 1. Chat normal (OpenRouter)\n const chatResponse = await callOpenRouter(CHAT_SYSTEM_PROMPT, userMessage);\n\n // 2. ¿Necesita delegación?\n const delegationPrompt = extractDelegationPrompt(chatResponse);\n\n if (!delegationPrompt) {\n // No hay delegación, devolver solo la respuesta del chat\n return {\n chatResponse,\n delegatorResponse: null,\n subagentResponses: [],\n finalOutput: chatResponse,\n };\n }\n\n // 3. Delegador (OpenRouter)\n const delegatorResponse = await callOpenRouter(\n DELEGATOR_SYSTEM_PROMPT,\n delegationPrompt,\n );\n\n // 4. Extraer tareas de enanitos\n const enanitoTasks = extractEnanitoTasks(delegatorResponse);\n\n // 5. Ejecutar sub-agentes en paralelo (Mistral)\n const subagentResults = await Promise.all(\n enanitoTasks.map(async (task) => ({\n id: task.id,\n response: await runSubAgent(task),\n })),\n );\n\n // 6. Componer la respuesta final\n let finalOutput = `Respuesta del chat\\n${chatResponse}\\n{~~}\\n`;\n\n finalOutput += `Respuesta del delegador\\n${delegatorResponse}\\n{~~}\\n`;\n\n finalOutput += \"Respuesta de los subagentes\\n\";\n for (const result of subagentResults) {\n finalOutput += `SUB${result.id}\\n${result.response}\\nSUB${result.id}\\n`;\n }\n\n return {\n chatResponse,\n delegatorResponse,\n subagentResponses: subagentResults,\n finalOutput,\n };\n}\n",[],[81],"9266455e-67f2-4930-bd28-8a82ca5471c1",["D",1784461593494],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Chat IA multi-agente con OpenRouter y Mistral","imageUrl","userId","8c7202a6-4188-4fc7-b215-4d5b8f57307f","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount","orgId","019f7a31-a489-7235-90c1-4a4d8a3b724c","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_11":12,"_142":138},"org",{"_11":12,"_135":136,"_137":138,"_98":99,"_139":140,"_141":51},"branch",{"_17":71,"_13":16,"_33":39,"_127":88,"_128":-5,"_129":-5,"_130":-5,"_131":-5,"_132":-5,"_133":14,"_134":12},"isOwned","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","displayName","Basr Qtb","avatar","https://lh3.googleusercontent.com/a/ACg8ocKZQdstIErW_XnlSP1xC4ueIqj3l1jSn7wnDZFoG0LRN0MNFQ=s96-c","tier","free","canRestrictVals","profileImageUrl","adoptOrgId",{"_33":88,"_13":14,"_44":184,"_90":-5,"_91":51,"_92":93,"_94":93,"_95":96,"_97":-5,"_98":99,"_100":70,"_101":43,"_102":-5,"_103":-5,"_104":46,"_105":106,"_107":-5,"_108":-5,"_109":-5,"_110":-5,"_111":112,"_113":112,"_114":115,"_116":115,"_117":115,"_118":112,"_119":112,"_120":185,"_122":186,"_124":187,"_126":51},[172,173,174,175],"files",[172,173,174,175],"counts",{"_163":46,"_164":83,"_165":46,"_32":166,"_167":168},[],{"_33":34,"_13":19,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":45,"_17":46,"_47":24,"_48":49,"_50":51,"_52":-5,"_18":162},"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},[19],"pulls","branches","forks",{"_169":46,"_171":46},"connections",{"_169":46,"_170":46},"count","unfilledCount","emptyCount",{"_33":80,"_13":81,"_35":82,"_37":-5,"_38":39,"_40":83,"_42":43,"_44":84,"_17":46,"_47":63,"_48":85,"_50":51,"_52":-5,"_65":182,"_18":183},{"_33":34,"_13":19,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":77,"_17":46,"_47":24,"_48":49,"_50":51,"_52":-5,"_65":180,"_18":181},{"_33":68,"_13":69,"_35":70,"_37":-5,"_38":39,"_40":71,"_42":43,"_44":72,"_17":46,"_47":73,"_48":74,"_50":51,"_52":-5,"_65":178,"_18":179},{"_33":58,"_13":59,"_35":60,"_37":-5,"_38":39,"_40":61,"_42":43,"_44":62,"_17":46,"_47":63,"_48":64,"_50":51,"_52":-5,"_65":176,"_18":177},[],[59],[],[69],[],[19],[],[81],["D",1784461593494],{"_11":12,"_142":138},{"_11":12,"_135":136,"_137":138,"_98":99,"_139":140,"_141":51},{"_17":71,"_13":16,"_33":39,"_127":88,"_128":-5,"_129":-5,"_130":-5,"_131":-5,"_132":-5,"_133":14,"_134":12},"ctx",{"_120":-5,"_159":221,"_222":223,"_224":225,"_226":51,"_227":51,"_228":51,"_229":43,"_230":-5,"_231":-7,"_232":-7,"_233":46,"_234":51,"_235":51,"_236":-5,"_237":51,"_238":51,"_239":51,"_240":-5},"ENV",{"_192":193,"_194":195,"_196":16,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220},"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"]