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Secuenciación automatizada"}],"version":1},"role":"user","id":"o3NGSTdjOzKLdpimAnGUDViJoV899PW6","attachments":[],"type":"message","authorId":"ochnAZOhKS5ZrWC5k4JtaPH5","createdAt":"$D2026-06-29T00:30:42.975Z"},{"v0ModelId":"v0-max","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1782693047851,"finishedAt":1782693048909,"lastPartSentAt":1782693048909,"taskNameActive":null,"id":"cqW34Q5eng1EkcTo","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"El usuario está pidiendo un motor que orqueste múltiples IAs con secuenciación automatizada, pero la descripción es bastante general. Necesito hacer preguntas para entender mejor qué tipo de orquestación busca, cómo debería comunicarse entre las IAs, y qué casos de uso específicos tiene en mente."}]}}],["p",{},["text",{},"¡Hola! Me encanta la idea de construir un motor de orquestación entre IAs con secuenciación automatizada. Antes de empezar a construir, necesito entender mejor qué tienes en mente, ya que \"orquestación entre IAs\" puede significar varias cosas distintas."]],["AssistantMessageContentPart",{"part":{"createdAt":1782693059522,"finishedAt":1782693059743,"stopped":{"reason":"user-input-required"},"lastPartSentAt":1782693059721,"taskNameActive":"Aclarando requisitos del motor","taskNameComplete":"Requisitos aclarados","toolCallId":"toolu_01VaKqQmKkmQC93vLxJvhDxB","agentTurnId":"turn_KrFmuAF5k0NJn2Ae","filePath":null,"id":"tFotqH9udb4g9P5W","type":"task-ask-user-questions-v1","parts":[{"type":"asking-questions","questions":[{"id":"q-0","question":"¿Qué es lo principal que quieres que haga este motor de orquestación?","header":"Objetivo","options":[{"id":"q-0-opt-0","label":"Encadenar varias IAs en pasos","description":"Definir flujos donde la salida de un modelo alimenta al siguiente (pipelines/secuencias)."},{"id":"q-0-opt-1","label":"Agentes que colaboran","description":"Varios agentes con roles distintos que se coordinan para resolver una tarea."},{"id":"q-0-opt-2","label":"Enrutar a la mejor IA","description":"Decidir automáticamente qué modelo/proveedor usar según la tarea."},{"id":"q-0-opt-3","label":"Constructor visual de flujos","description":"Una interfaz tipo lienzo para diseñar y ejecutar secuencias de IA arrastrando nodos."}],"multiSelect":false},{"id":"q-1","question":"¿Qué quieres que construya primero?","header":"Entregable","options":[{"id":"q-1-opt-0","label":"App web completa con UI","description":"Interfaz para diseñar y ejecutar orquestaciones, con backend real."},{"id":"q-1-opt-1","label":"Solo el motor/backend","description":"La lógica de orquestación (API + librería), sin mucha UI."},{"id":"q-1-opt-2","label":"Prototipo/demo funcional","description":"Algo simple que demuestre el concepto rápidamente."}],"multiSelect":false},{"id":"q-2","question":"¿Qué proveedores de IA quieres usar?","header":"Modelos IA","options":[{"id":"q-2-opt-0","label":"Vercel AI Gateway (recomendado)","description":"Acceso a OpenAI, Anthropic, Google, etc. sin configurar claves (zero-config)."},{"id":"q-2-opt-1","label":"Un proveedor específico","description":"Por ejemplo solo OpenAI, solo Anthropic, Grok, etc."},{"id":"q-2-opt-2","label":"No estoy seguro","description":"Que tú elijas la mejor opción por mí."}],"multiSelect":false},{"id":"q-3","question":"¿Necesitas guardar los flujos y resultados de ejecución?","header":"Persistencia","options":[{"id":"q-3-opt-0","label":"Sí, base de datos (Neon)","description":"Guardar flujos, historial de ejecuciones y resultados de forma permanente."},{"id":"q-3-opt-1","label":"No, en memoria por ahora","description":"Sin persistencia; centrarse en la orquestación en vivo."},{"id":"q-3-opt-2","label":"No estoy seguro","description":"Que tú decidas según la mejor práctica."}],"multiSelect":false}]}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"7EDpVmD7zqF429Ly768EYsrxkj9NbOdq","gitRevision":null,"streaming":false,"finishReason":"tool-calls","parentId":"o3NGSTdjOzKLdpimAnGUDViJoV899PW6","type":"message","creditCost":0.1110725,"workMetrics":{"diffMap":{},"agentActions":1},"createdAt":"$D2026-06-29T00:30:42.976Z","updatedAt":"$D2026-06-29T00:31:04.931Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"No need for clarification—just proceed with your best judgment."}],"version":1},"role":"user","id":"ojEBVUZnifZX2JCBb8RAP","attachments":[],"parentId":"7EDpVmD7zqF429Ly768EYsrxkj9NbOdq","type":"message","authorId":"ochnAZOhKS5ZrWC5k4JtaPH5","createdAt":"$D2026-06-29T00:31:19.305Z"},{"v0ModelId":"v0-max","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1782693085481,"finishedAt":1782693089079,"lastPartSentAt":1782693089079,"taskNameActive":null,"id":"EAHbh04nMo1cWM4R","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":4,"thought":"Since they gave me the go-ahead, I'll build a practical AI orchestration engine with a visual flow builder using Vercel AI Gateway and a web interface—keeping it simple with in-memory storage for now rather than adding database complexity. The core idea is creating an engine that orchestrates between multiple AIs and handles automated sequencing.\n\nI'm planning a functional app where users can define sequences of AI steps (each with its own prompt and model selection), chain the outputs so each step receives the previous result, run the sequences with real-time streaming results, and support different agent roles. I'll use AI SDK 6 with AI Gateway as the foundation, and I should invoke the ai-sdk-6 skill first to get started. Let me explore the existing codebase structure and gather some design inspiration as I work through this."}]}}],["p",{},["text",{},"Voy a construir un motor de orquestación de IAs con secuenciación automatizada: una app web donde defines una secuencia de pasos (cada uno con su modelo, rol y prompt), encadenas las salidas y ejecutas todo el flujo viendo los resultados en vivo. 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Déjame consultar el skill de AI SDK para usar los patrones correctos y verificar el AI Gateway."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"Cu5dADXoBh35CVW2-vFlZF0VrSSNp2L6B-uU8M7SzqGYBaYb9t-w4tqVAulQKYFHGkt","parts":[{"createdAt":1782693103522,"finishedAt":1782693105385,"lastPartSentAt":1782693105362,"taskNameActive":"Cargando patrones de AI SDK","taskNameComplete":"Patrones de AI SDK cargados","toolCallId":"toolu_014KnVZPXUWzvqKshmZdqYah","agentTurnId":"turn_ViXoSUuo5UyPVt9u","filePath":null,"id":"Cu5dADXoBh35CVW2","type":"task-skill-v1","parts":[{"type":"executing-skill","skillName":"ai-sdk-6"},{"type":"skill-result","skillName":"ai-sdk-6","fileCount":15}]},{"createdAt":1782693104472,"finishedAt":1782693105603,"lastPartSentAt":1782693105575,"taskNameActive":"Executing Read","taskNameComplete":"Completed 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\nGENERATING\n[V0_FILE]yaml:file=\"pnpm-lock.yaml\" \nGENERATING","latestDeploymentInfo":"$122:0:1","lastDeployedAt":"2026-06-29T00:35:41.270Z","sourceVersionKey":"v_1_tlmav_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_xYVXupG2OYg","meta":{"taskNameActive":"Applying changes","taskNameComplete":"Applied changes","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Applying changes","taskNameComplete":"Applied changes"},"id":"block-b_xYVXupG2OYg"}],["AssistantMessageContentPart",{"part":{"createdAt":1782693121337,"finishedAt":1782693138946,"lastPartSentAt":1782693138946,"taskNameActive":null,"id":"37OAM4Kn8enlRm74","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":18,"thought":"Now I'm setting up the styling with a dark theme and teal accents for the orchestration console, updating the layout metadata, and creating an API route to execute individual pipeline steps with streaming responses. Then I'll build out the page with a pipeline editor and step cards.\n\nFor the architecture, I'm running steps sequentially client-side, where each step gets the initial input plus the previous step's output, with variable interpolation for {{input}} and {{previous}} references in prompts. I'll offer a curated set of models across OpenAI, Anthropic, and Google, and I'm deciding between native HTML elements and shadcn components—leaning toward native selects and textareas with Tailwind styling to keep things lightweight and mobile-friendly.\n\nNow I'm mapping out the file structure and setting up a dark developer console theme with a teal accent in oklch color space, then I'll start writing the global styles."}]}}],["p",{},["text",{},"Tengo todo lo necesario. Voy a construir el motor de orquestación: tema oscuro tipo consola, una API que ejecuta cada paso vía AI Gateway con streaming, y un editor de pipeline donde encadenas las salidas. Empiezo por el tema y el layout."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_bEAW6sNHvv1","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"package.json","baseName":"package.json","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"pnpm-lock.yaml","baseName":"pnpm-lock.yaml","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/app/globals.css","baseName":"globals.css","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]json:file=\"package.json\" \nGENERATING\n[V0_FILE]yaml:file=\"pnpm-lock.yaml\" \nGENERATING\n[V0_FILE]css:file=\"/app/globals.css\" \nGENERATING","latestDeploymentInfo":"$122:1:1","lastDeployedAt":"2026-06-29T00:35:41.270Z","sourceVersionKey":"v_1_975do_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_bEAW6sNHvv1","meta":{"taskNameActive":"Aplicando tema 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