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Eres útil, conciso y natural.\n\nCuando el usuario pida una sola acción, usa el formato exacto correspondiente:\n\n1. Recordatorio → RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]\n2. Alarma → ALAR-MA \"[HH:MM]\"\n3. Macros (comida + peso) → ( MAC-ROS carbohidratos: X proteinas: Y grasas: Z kcal: A ) — calcula sin decimales\n4. Imagen → IM-AGEN [descripción]\n5. Ruta → CO-MOLL [ubicación]\n6. Email → CO-RREO |<>| mensaje a enviar |<>|\n7. Archivo → AR-CHIVO |<>| código puro sin Markdown |<>| nombre.extension |<>|\n8. Email con archivo → CO-RREOAR |<>| cuerpo del mensaje |<>| nombre.extension |<>|\n\nREGLA CRÍTICA DE DELEGACIÓN:\nSi la petición del usuario requiere MÁS DE UNA acción, NO uses los formatos de arriba. En su lugar, comienza tu respuesta con \"DELEGACION\" seguido de una descripción clara y detallada de todas las acciones necesarias y el contexto para cada una.\n\nEjemplo de delegación:\nUsuario: \"Ponme una alarma para las 18:00 y recuérdame comprar pan a las 17:30\"\nRespuesta: \"DELEGACION El usuario necesita dos acciones: 1) Crear una alarma a las 18:00 2) Crear un recordatorio para comprar pan a las 17:30 hoy\"\n\nSi solo necesitas UNA acción o NINGUNA, responde normalmente con el formato correspondiente o una respuesta conversacional.`;\n\nexport const DELEGATOR_PROMPT = `Eres el agente delegador de Aka. Recibes tareas que requieren múltiples acciones y debes dividirlas en hasta 3 sub-tareas independientes.\n\nFormato de respuesta EXACTO (sin texto adicional):\nEN-ANITO1 |<>| comando del sub-agente 1 |<>| EN-ANITO2 |<>| comando del sub-agente 2 |<>| EN-ANITO3 |<>| comando del sub-agente 3 |<>|\n\nReglas:\n- Cada comando debe ser una instrucción clara y autosuficiente para un sub-agente\n- Si necesitas menos de 3, deja los sobrantes vacíos: EN-ANITO2 |<>| |<>|\n- Prefija con \"POTENTE: \" si la sub-tarea requiere cálculo complejo, generación de archivos o razonamiento avanzado\n- Los sub-agentes pueden usar: RECOR-DATORIO, ALAR-MA, MAC-ROS, IM-AGEN, CO-MOLL, CO-RREO, AR-CHIVO, CO-RREOAR\n- Responde SOLO con el formato EN-ANITO, sin explicaciones\n\nEjemplo:\nEN-ANITO1 |<>| Crea una alarma para las 18:00 |<>| EN-ANITO2 |<>| Crea un recordatorio: comprar pan a las 17:30 hoy |<>| EN-ANITO3 |<>| |<>|`;\n\nexport const SUBAGENT_PROMPT = `Eres un sub-agente de Aka. Ejecuta el comando recibido usando el formato exacto correspondiente:\n\n1. Recordatorio → RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]\n2. Alarma → ALAR-MA \"[HH:MM]\"\n3. Macros → ( MAC-ROS carbohidratos: X proteinas: Y grasas: Z kcal: A ) — sin decimales\n4. Imagen → IM-AGEN [descripción]\n5. Ruta → CO-MOLL [ubicación]\n6. Email → CO-RREO |<>| mensaje |<>|\n7. Archivo → AR-CHIVO |<>| código puro sin Markdown |<>| nombre.extension |<>|\n8. Email con archivo → CO-RREOAR |<>| cuerpo del mensaje |<>| nombre.extension |<>|\n\nReglas:\n- Responde únicamente con la acción solicitada\n- Sin explicaciones, sin texto extra, sin Markdown\n- Sigue el formato exacto como se especifica`;\n",[142],"c9f7ca19-8ad1-43ff-bee0-4b01afe66db6","parser.ts","127d80b2-837b-11f1-8488-1607ee4eb77e",11,["D",1784470003868],"import type { SubTask, ParsedAction } from \"./types.ts\";\n\n/** Check if the chat response indicates delegation is needed */\nexport function needsDelegation(chatResponse: string): boolean {\n return chatResponse.trim().toUpperCase().startsWith(\"DELEGACION\");\n}\n\n/** Strip the DELEGACION prefix to get the context for the delegator */\nexport function extractDelegationContext(chatResponse: string): string {\n return chatResponse.trim().replace(/^DELEGACION\\s*/i, \"\").trim();\n}\n\n/**\n * Parse the EN-ANITO format from the delegator response:\n * EN-ANITO1 |<>| command |<>| EN-ANITO2 |<>| command |<>| EN-ANITO3 |<>| command |<>|\n */\nexport function parseEnanitos(response: string): SubTask[] {\n const tasks: SubTask[] = [];\n const regex = /EN-ANITO(\\d)\\s*\\|<>\\|\\s*([\\s\\S]*?)\\s*\\|<>\\|/g;\n let match;\n while ((match = regex.exec(response)) !== null) {\n const index = parseInt(match[1]);\n const raw = match[2].trim();\n if (raw) {\n const powerful = raw.toUpperCase().startsWith(\"POTENTE:\");\n tasks.push({\n index,\n command: powerful ? raw.slice(8).trim() : raw,\n powerful,\n });\n }\n }\n return tasks;\n}\n\n/** Parse a single action format from a sub-agent response */\nexport function parseAction(response: string): ParsedAction | null {\n const t = response.trim();\n\n // RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]\n if (/^RECOR-DATORIO/i.test(t)) {\n return { type: \"reminder\", raw: t, data: { content: t.replace(/^RECOR-DATORIO\\s*/i, \"\") } };\n }\n\n // ALAR-MA \"[HH:MM]\"\n const alarm = t.match(/^ALAR-MA\\s+\"?(\\d{1,2}:\\d{2})\"?/i);\n if (alarm) return { type: \"alarm\", raw: t, data: { time: alarm[1] } };\n\n // ( MAC-ROS carbohidratos: X proteinas: Y grasas: Z kcal: A )\n const macros = t.match(\n /MAC-ROS\\s+carbohidratos:\\s*(\\d+)\\s+proteinas:\\s*(\\d+)\\s+grasas:\\s*(\\d+)\\s+kcal:\\s*(\\d+)/i,\n );\n if (macros) {\n return {\n type: \"macros\",\n raw: t,\n data: { carbs: macros[1], protein: macros[2], fat: macros[3], kcal: macros[4] },\n };\n }\n\n // IM-AGEN [descripción]\n if (/^IM-AGEN/i.test(t)) {\n return { type: \"image\", raw: t, data: { description: t.replace(/^IM-AGEN\\s*/i, \"\") } };\n }\n\n // CO-MOLL [ubicación]\n if (/^CO-MOLL/i.test(t)) {\n return { type: \"route\", raw: t, data: { location: t.replace(/^CO-MOLL\\s*/i, \"\") } };\n }\n\n // CO-RREO |<>| message\n const email = t.match(/^CO-RREO\\s*\\|<>\\|\\s*([\\s\\S]+)/i);\n if (email) return { type: \"email\", raw: t, data: { message: email[1].trim() } };\n\n // AR-CHIVO |<>| code |<>| filename\n const file = t.match(/^AR-CHIVO\\s*\\|<>\\|\\s*([\\s\\S]*?)\\s*\\|<>\\|\\s*(.+)/i);\n if (file) {\n return { type: \"file\", raw: t, data: { content: file[1], filename: file[2].trim() } };\n }\n\n // CO-RREOAR |<>| message |<>| filename\n const emailFile = t.match(/^CO-RREOAR\\s*\\|<>\\|\\s*([\\s\\S]*?)\\s*\\|<>\\|\\s*(.+)/i);\n if (emailFile) {\n return {\n type: \"email_with_file\",\n raw: t,\n data: { message: emailFile[1], filename: emailFile[2].trim() },\n };\n }\n\n return null;\n}\n",[150],"71b453fa-b8a1-4323-acbf-4e7ed421f7e7","memory.ts","127773ac-837b-11f1-a805-1607ee4eb77e",10,["D",1784470003867],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport type { ChatMessage } from \"./types.ts\";\n\nconst MAX_HISTORY = 10;\nlet initialized = false;\n\nasync function ensureDB(): Promise {\n if (initialized) return;\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS conversations (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id TEXT NOT NULL,\n role TEXT NOT NULL,\n content TEXT NOT NULL,\n created_at INTEGER NOT NULL\n )\n `);\n initialized = true;\n}\n\n/** Save a message to the conversation history */\nexport async function saveMessage(\n sessionId: string,\n role: \"user\" | \"assistant\",\n content: string,\n): Promise {\n try {\n await ensureDB();\n await sqlite.execute({\n sql: \"INSERT INTO conversations (session_id, role, content, created_at) VALUES (?, ?, ?, ?)\",\n args: [sessionId, role, content, Date.now()],\n });\n } catch {\n // Memory is optional — don't fail the request\n }\n}\n\n/** Get conversation history for a session (chronological order) */\nexport async function getHistory(sessionId: string): Promise {\n try {\n await ensureDB();\n const result = await sqlite.execute({\n sql: \"SELECT role, content FROM conversations WHERE session_id = ? ORDER BY id DESC LIMIT ?\",\n args: [sessionId, MAX_HISTORY],\n });\n return result.rows.reverse().map((row) => ({\n role: row.role as \"user\" | \"assistant\",\n content: row.content as string,\n }));\n } catch {\n return [];\n }\n}\n\n/** Clear all messages for a session */\nexport async function clearSession(sessionId: string): Promise {\n try {\n await ensureDB();\n await sqlite.execute({\n sql: \"DELETE FROM conversations WHERE session_id = ?\",\n args: [sessionId],\n });\n } catch {\n // ignore\n }\n}\n",[157],"1ba9f89c-3936-4a22-a4b0-a8c59c2c9ad0","main.ts",["D",1784470093305],4,"http","import { callOpenRouter, callMistral, getAvailableProviders } from \"./api.ts\";\nimport { CHAT_PROMPT, DELEGATOR_PROMPT, SUBAGENT_PROMPT } from \"./prompts.ts\";\nimport { needsDelegation, extractDelegationContext, parseEnanitos, parseAction } from \"./parser.ts\";\nimport { saveMessage, getHistory, clearSession } from \"./memory.ts\";\nimport type { SubAgentResult } from \"./types.ts\";\n\n// Configurable models via env vars (defaults from README spec)\nconst CHAT_MODEL = Deno.env.get(\"AKA_CHAT_MODEL\") || \"deepseek/deepseek-v4-flash\";\nconst DELEGATOR_MODEL = Deno.env.get(\"AKA_DELEGATOR_MODEL\") || \"deepseek/deepseek-v4-flash\";\nconst SUBAGENT_MODEL = Deno.env.get(\"AKA_SUBAGENT_MODEL\") || \"mistral-large-latest\";\nconst POWERFUL_SUBAGENT_MODEL = Deno.env.get(\"AKA_POWERFUL_SUBAGENT_MODEL\") ||\n \"deepseek/deepseek-v4-flash\";\n\nconst CORS_HEADERS: Record = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n};\n\nfunction json(data: unknown, status = 200): Response {\n return new Response(JSON.stringify(data, null, 2), {\n status,\n headers: { \"Content-Type\": \"application/json; charset=utf-8\", ...CORS_HEADERS },\n });\n}\n\nfunction text(data: string, status = 200): Response {\n return new Response(data, {\n status,\n headers: { \"Content-Type\": \"text/plain; charset=utf-8\", ...CORS_HEADERS },\n });\n}\n\nexport default async function (req: Request): Promise {\n // CORS preflight\n if (req.method === \"OPTIONS\") {\n return new Response(null, { headers: CORS_HEADERS });\n }\n\n const url = new URL(req.url);\n\n // Health check\n if (url.pathname.endsWith(\"/health\") || url.searchParams.has(\"health\")) {\n const providers = getAvailableProviders();\n return json({\n status: \"ok\",\n models: {\n chat: CHAT_MODEL,\n delegator: DELEGATOR_MODEL,\n subagent: SUBAGENT_MODEL,\n powerful: POWERFUL_SUBAGENT_MODEL,\n },\n providers,\n });\n }\n\n // Parse request parameters\n let message: string;\n let session: string | null = null;\n let format: \"text\" | \"json\" = \"text\";\n let clear = false;\n\n try {\n if (req.method === \"POST\") {\n const body = await req.json();\n message = body.message || body.text || body.query || \"\";\n session = body.session || body.sessionId || null;\n format = body.format === \"json\" ? \"json\" : \"text\";\n clear = body.clear === true;\n } else {\n message = url.searchParams.get(\"message\") ||\n url.searchParams.get(\"text\") ||\n url.searchParams.get(\"query\") || \"\";\n session = url.searchParams.get(\"session\") || url.searchParams.get(\"sessionId\");\n format = url.searchParams.get(\"format\") === \"json\" ? \"json\" : \"text\";\n clear = url.searchParams.get(\"clear\") === \"true\";\n }\n } catch {\n return text(\"Error: no se pudo procesar la petición\", 400);\n }\n\n // Clear session history if requested (doesn't need a message)\n if (clear && session) {\n await clearSession(session);\n return text(`Sesión \"${session}\" borrada.`);\n }\n\n if (!message) {\n return text(\n \"Envía un parámetro 'message' por POST body o query string.\\n\\n\" +\n \"Parámetros opcionales:\\n\" +\n \" session → ID de conversación para memoria persistente\\n\" +\n \" format → 'json' para respuesta estructurada (por defecto: texto plano)\\n\" +\n \" clear → 'true' para borrar el historial de la sesión\",\n 400,\n );\n }\n\n // Load conversation history if a session is provided\n const history = session ? await getHistory(session) : [];\n\n try {\n // Step 1: Main chat response\n const chatResponse = await callOpenRouter(CHAT_MODEL, CHAT_PROMPT, message, {\n temperature: 0.7,\n maxTokens: 2000,\n history,\n });\n\n // Save to conversation memory\n if (session) {\n await saveMessage(session, \"user\", message);\n await saveMessage(session, \"assistant\", chatResponse);\n }\n\n // If no delegation needed, return directly\n if (!needsDelegation(chatResponse)) {\n if (format === \"json\") {\n const action = parseAction(chatResponse);\n return json({\n chat: chatResponse,\n needsDelegation: false,\n delegator: null,\n subAgents: [],\n action,\n formatted: chatResponse,\n });\n }\n return text(chatResponse);\n }\n\n // Step 2: Delegator splits the task into sub-tasks\n const delegationContext = extractDelegationContext(chatResponse);\n const delegatorResponse = await callOpenRouter(\n DELEGATOR_MODEL,\n DELEGATOR_PROMPT,\n delegationContext,\n { temperature: 0.3, maxTokens: 1000 },\n );\n\n // Step 3: Parse EN-ANITO format and run sub-agents in parallel\n const subTasks = parseEnanitos(delegatorResponse);\n const providers = getAvailableProviders();\n\n const subAgentPromises = subTasks.map(async (task): Promise => {\n // Use OpenRouter for powerful tasks, or if Mistral key is missing\n const useOpenRouter = task.powerful || !providers.mistral;\n const model = task.powerful ? POWERFUL_SUBAGENT_MODEL : SUBAGENT_MODEL;\n\n try {\n const response = useOpenRouter\n ? await callOpenRouter(model, SUBAGENT_PROMPT, task.command, {\n temperature: task.powerful ? 0.3 : 0.4,\n maxTokens: task.powerful ? 4000 : 1500,\n })\n : await callMistral(model, SUBAGENT_PROMPT, task.command, {\n temperature: 0.4,\n maxTokens: 1500,\n });\n\n return {\n index: task.index,\n command: task.command,\n response,\n model,\n powerful: task.powerful,\n action: parseAction(response),\n };\n } catch (err) {\n // Don't fail the entire request if one sub-agent errors\n return {\n index: task.index,\n command: task.command,\n response: `Error: ${(err as Error).message}`,\n model,\n powerful: task.powerful,\n action: null,\n };\n }\n });\n\n const subAgentResults = await Promise.all(subAgentPromises);\n\n // Step 4: Format the final response\n const subAgentFormatted = subAgentResults\n .map((r) => `SUB${r.index} ${r.response} SUB${r.index}`)\n .join(\" \");\n\n const formatted = `${chatResponse} {~~} ${delegatorResponse} {~~} ${subAgentFormatted}`;\n\n if (format === \"json\") {\n return json({\n chat: chatResponse,\n needsDelegation: true,\n delegator: delegatorResponse,\n subAgents: subAgentResults,\n formatted,\n });\n }\n\n return text(formatted);\n } catch (error) {\n const msg = (error as Error).message;\n if (format === \"json\") {\n return json({ error: msg }, 500);\n }\n return text(`Error: ${msg}`, 500);\n }\n}\n",[164],"b9ddba60-e731-4d5e-87a2-b74b992acecc","api.ts","67c2d020-8373-11f1-b59e-1607ee4eb77e",9,["D",1784470003866],"import type { ChatMessage } from \"./types.ts\";\n\nconst DEFAULT_TIMEOUT_MS = 45_000;\nconst MAX_RETRIES = 2;\n\nfunction sleep(ms: number): Promise {\n return new Promise((r) => setTimeout(r, ms));\n}\n\ninterface LLMOptions {\n temperature?: number;\n maxTokens?: number;\n history?: ChatMessage[];\n}\n\nasync function callLLM(\n endpoint: string,\n apiKey: string,\n model: string,\n systemPrompt: string,\n userMessage: string,\n opts?: LLMOptions,\n): Promise {\n const messages: ChatMessage[] = [\n { role: \"system\", content: systemPrompt },\n ...(opts?.history ?? []),\n { role: \"user\", content: userMessage },\n ];\n\n const body: Record = {\n model,\n messages,\n };\n if (opts?.temperature !== undefined) body.temperature = opts.temperature;\n if (opts?.maxTokens !== undefined) body.max_tokens = opts.maxTokens;\n\n let lastError: Error | null = null;\n\n for (let attempt = 0; attempt <= MAX_RETRIES; attempt++) {\n const controller = new AbortController();\n const timer = setTimeout(() => controller.abort(), DEFAULT_TIMEOUT_MS);\n\n try {\n const res = await fetch(endpoint, {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify(body),\n signal: controller.signal,\n });\n\n clearTimeout(timer);\n\n if (!res.ok) {\n const errText = await res.text();\n // Retry on rate limits and server errors\n if ((res.status === 429 || res.status >= 500) && attempt < MAX_RETRIES) {\n await sleep(1500 * (attempt + 1));\n continue;\n }\n throw new Error(`API ${res.status}: ${errText.slice(0, 200)}`);\n }\n\n const data = await res.json();\n const content = data.choices?.[0]?.message?.content;\n if (!content) throw new Error(\"Respuesta vacía del modelo\");\n return content;\n } catch (err) {\n clearTimeout(timer);\n lastError = err as Error;\n if (attempt < MAX_RETRIES) {\n await sleep(1500 * (attempt + 1));\n continue;\n }\n }\n }\n\n throw lastError ?? new Error(\"Error desconocido en la llamada API\");\n}\n\nexport async function callOpenRouter(\n model: string,\n systemPrompt: string,\n userMessage: string,\n opts?: LLMOptions,\n): Promise {\n const apiKey = Deno.env.get(\"OPENROUTER_API_KEY\");\n if (!apiKey) throw new Error(\"OPENROUTER_API_KEY no configurada\");\n return callLLM(\n \"https://openrouter.ai/api/v1/chat/completions\",\n apiKey,\n model,\n systemPrompt,\n userMessage,\n opts,\n );\n}\n\nexport async function callMistral(\n model: string,\n systemPrompt: string,\n userMessage: string,\n opts?: LLMOptions,\n): Promise {\n const apiKey = Deno.env.get(\"MISTRAL_API_KEY\");\n if (!apiKey) throw new Error(\"MISTRAL_API_KEY no configurada\");\n return callLLM(\n \"https://api.mistral.ai/v1/chat/completions\",\n apiKey,\n model,\n systemPrompt,\n userMessage,\n opts,\n );\n}\n\n/** Check which API providers have keys configured */\nexport function getAvailableProviders(): { openrouter: boolean; mistral: boolean } {\n return {\n openrouter: !!Deno.env.get(\"OPENROUTER_API_KEY\"),\n mistral: !!Deno.env.get(\"MISTRAL_API_KEY\"),\n };\n}\n",[171],"95e11107-6a26-4aa0-a6d7-e9db202c25f7","README.md","5675d30a-8371-11f1-9c87-1607ee4eb77e",15,["D",1784470086101],3,"# Aka — Asistente de IA con delegación multi-agente\n\nAka es un asistente conversacional en español que ejecuta acciones mediante atajos de Apple. Cuando una petición requiere múltiples acciones, delega automáticamente a sub-agentes en paralelo.\n\n## Arquitectura\n\n```\nUsuario → Chat (OpenRouter) → ¿Multi-acción?\n │\n ┌────────┴────────┐\n Sí No → Respuesta directa\n │\n Delegador (OpenRouter)\n divide en ≤3 sub-tareas\n │\n ┌───────────┼───────────┐\n SUB1 SUB2 SUB3\n (Mistral) (Mistral) (Mistral)\n o POTENTE o POTENTE o POTENTE\n (OpenRouter) (OpenRouter) (OpenRouter)\n └───────────┼───────────┘\n Respuesta combinada\n```\n\n### Pipeline\n\n1. **Chat** — Recibe el mensaje. Si es una sola acción, responde directamente. Si son múltiples, responde con `DELEGACION ...`\n2. **Delegador** — Divide la tarea en hasta 3 sub-tareas (`EN-ANITO1 |<>| comando |<>| ...`)\n3. **Sub-agentes** — Se ejecutan **en paralelo**. Cada uno produce una acción con su formato exacto\n4. **Respuesta final** — `chat {~~} delegador {~~} SUB1 ... SUB1 SUB2 ... SUB2`\n\n### Modelos\n\n| Rol | Modelo | API | Env var override |\n|---|---|---|---|\n| Chat | `deepseek/deepseek-v4-flash` | OpenRouter | `AKA_CHAT_MODEL` |\n| Delegador | `deepseek/deepseek-v4-flash` | OpenRouter | `AKA_DELEGATOR_MODEL` |\n| Sub-agente | `mistral-large-latest` | Mistral | `AKA_SUBAGENT_MODEL` |\n| Sub-agente potente | `deepseek/deepseek-v4-flash` | OpenRouter | `AKA_POWERFUL_SUBAGENT_MODEL` |\n\n## Acciones disponibles\n\n| Acción | Formato exacto |\n|---|---|\n| Recordatorio | `RECOR-DATORIO [motivo] a las [HH:MM] el día [día y mes]` |\n| Alarma | `ALAR-MA \"[HH:MM]\"` |\n| Macros | `( MAC-ROS carbohidratos: X proteinas: Y grasas: Z kcal: A )` |\n| Imagen | `IM-AGEN [descripción]` |\n| Ruta | `CO-MOLL [ubicación]` |\n| Email | `CO-RREO \\|<>| mensaje \\|<>|` |\n| Archivo | `AR-CHIVO \\|<>| código \\|<>| nombre.extension \\|<>|` |\n| Email + archivo | `CO-RREOAR \\|<>| mensaje \\|<>| nombre.extension \\|<>|` |\n\n## Uso\n\n### Endpoint\n\n```\nPOST https://basrqtb--aka.web.val.run\n```\n\n### Parámetros\n\n| Parámetro | Tipo | Descripción |\n|---|---|---|\n| `message` | string | **Obligatorio** — mensaje del usuario |\n| `session` | string | Opcional — ID de conversación para memoria persistente |\n| `format` | `\"json\"` \\| `\"text\"` | Opcional — formato de respuesta (por defecto: `text`) |\n| `clear` | boolean | Opcional — `true` para borrar historial de la sesión |\n\n### Ejemplos\n\n**Texto plano (Apple Shortcuts):**\n```\nPOST /\n{\"message\": \"Ponme una alarma para las 18:00\"}\n→ ALAR-MA \"18:00\"\n```\n\n**JSON estructurado:**\n```\nPOST /\n{\"message\": \"Ponme una alarma para las 18:00\", \"format\": \"json\"}\n→ {\"chat\": \"ALAR-MA \\\"18:00\\\"\", \"needsDelegation\": false, \"action\": {\"type\": \"alarm\", \"data\": {\"time\": \"18:00\"}}, ...}\n```\n\n**Multi-acción con delegación:**\n```\nPOST /\n{\"message\": \"Ponme una alarma a las 18:00 y recuérdame comprar pan a las 17:30\", \"format\": \"json\"}\n→ {\"chat\": \"DELEGACION ...\", \"needsDelegation\": true, \"delegator\": \"EN-ANITO1 ...\", \"subAgents\": [{\"action\": {\"type\": \"alarm\", \"data\": {\"time\": \"18:00\"}}, ...}, ...]}\n```\n\n**Con memoria de conversación:**\n```\nPOST / {\"message\": \"Me llamo Carlos\", \"session\": \"abc123\"}\nPOST / {\"message\": \"¿Cómo me llamo?\", \"session\": \"abc123\"}\n→ \"Te llamas Carlos, según me dijiste antes.\"\n```\n\n**Health check:**\n```\nGET /?health\n→ {\"status\": \"ok\", \"models\": {...}, \"providers\": {\"openrouter\": true, \"mistral\": true}}\n```\n\n## Archivos\n\n| Archivo | Descripción |\n|---|---|\n| `main.ts` | HTTP endpoint — routing, CORS, pipeline orquestación |\n| `api.ts` | Wrappers de OpenRouter y Mistral con timeout, reintentos y temperatura |\n| `prompts.ts` | System prompts para chat, delegador y sub-agentes |\n| `parser.ts` | Parser de formato EN-ANITO y de acciones estructuradas |\n| `memory.ts` | Memoria de conversación persistente con SQLite |\n| `types.ts` | Interfaces TypeScript compartidas |\n\n## Variables de entorno\n\n| Key | Descripción |\n|---|---|\n| `OPENROUTER_API_KEY` | **Obligatorio** — API key de OpenRouter |\n| `MISTRAL_API_KEY` | **Obligatorio** — API key de Mistral (si falta, usa OpenRouter para todo) |\n| `AKA_CHAT_MODEL` | Opcional — modelo del chat (default: `deepseek/deepseek-v4-flash`) |\n| `AKA_DELEGATOR_MODEL` | Opcional — modelo del delegador |\n| `AKA_SUBAGENT_MODEL` | Opcional — modelo de sub-agentes normales |\n| `AKA_POWERFUL_SUBAGENT_MODEL` | Opcional — modelo de sub-agentes potentes |\n\n## Apple Shortcuts\n\nUsar la acción **\"Obtener contenido de la URL\"** con:\n- URL: el endpoint del val\n- Método: POST\n- Cabeceras: `Content-Type: application/json`\n- Cuerpo: `{\"message\": \"[texto del usuario]\"}`\n\nPara extraer acciones individuales en el atajo, usar `format: \"json\"` y acceder a `action.type` y 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