initial commit: slides + practica_resueltos + README

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

slides/pages/models/07.md

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+---
+layout: default
+---
+
+# Structured Output
+
+<div class="text-sm mt-6">
+
+<v-click>
+
+<div class="mb-4">
+
+**Problema:** Las respuestas de LLMs son texto plano, difíciles de procesar
+
+**Solución:** Forzar al modelo a responder con JSON estructurado
+
+</div>
+
+</v-click>
+
+<v-click>
+
+```typescript
+import { ChatOpenAI } from "@langchain/openai";
+import { z } from "zod";
+
+// Definir el esquema con Zod
+const schema = z.object({
+  sentiment: z.enum(["positive", "negative", "neutral"]),
+  score: z.number().min(0).max(1),
+  keywords: z.array(z.string()),
+});
+
+const model = new ChatOpenAI({ model: "gpt-4.1-mini" })
+  .withStructuredOutput(schema);
+
+const result = await model.invoke("Me encanta LangChain!");
+// { sentiment: "positive", score: 0.95, keywords: ["encanta", "langchain"] }
+```
+
+</v-click>
+
+</div>