Copilotz vs AI SDK da Vercel

import { z } from 'zod';import { generateText, tool, isStepCount } from 'ai'; const result = await generateText({  model: "anthropic/claude-sonnet-5.5",  tools: {    weather: tool({      description: 'Get the weather in a location',      inputSchema: z.object({        location: z.string().describe('The location to get the weather for'),      }),      execute: async ({ location }) => ({        location,        temperature: 72 + Math.floor(Math.random() * 21) - 10,      }),    }),  },  stopWhen: isStepCount(5),  prompt: 'What is the weather in San Francisco?',});

// From the README's salon.ts: one Action, three callers (excerpt).actions: {  "booking.make": defineAction({    input: booking,    // Asked of every caller, tools included: people, agents working for them, and contacts.    allow: peopleOrContacts,    run: (ctx, input) => ctx.db.collection("booking").insertOne(input),  }),},views: {  // What a model reads after it books, the app's own or one over MCP.  "tool:book": (_, ctx) => ctx.show("bookings", {}),},resources: {  // The rules: a booking lives in a space, and belongs to the chat it was made in.  shared: { booking: { part: "thread" } },  tools: {    book: tool({      description: "Books a slot, like 'Wed 15:00'.",      input: { type: "object", properties: { slot: { type: "string" } }, required: ["slot"] },      run: ({ slot }, ctx) => ctx.call("booking.make", { slot, in: ctx.in, thread: ctx.thread }),    }),  },  agents: {    concierge: { instructions: "Book slots.", model: "openai/gpt-5.4-mini", tools: ["book"] },  },  // An MCP server at /mcp/salon. No sign-in: each conversation is a contact, in its own chat.  mcp: { salon: { in: "desk", tools: { book: {} } } },},