AI 앱 프론트엔드와 백엔드에 필요한 모든 것

// 컴포넌트: AI + RAG + Tools
import { z } from "zod";
import { ai } from "./ai";
import { rag } from "./rag";
import { defineTools } from "./tools";
import { procedure } from "./runtime";

export const ask = procedure.mutation
  .name("support.ask")
  .input(z.object({ question: z.string() }))
  .handler(async ({ context: ctx, input }) => {
    ctx.auth.requireAuth();
    const docs = await rag.retrieve(ctx, input.question, {
      filter: { source: "faq" },
    });
    const tools = defineTools(ctx, { getOrder, cancelOrder });

    return ai.agent({
      model: "llm/economy",
      system: "Answer from the FAQ: " + JSON.stringify(docs),
      messages: [{ role: "user", content: input.question }],
      tools,
      maxSteps: 5,
    });
  });

// 컴포넌트: AI + RAG
import { z } from "zod";
import { rag } from "./rag";
import { procedure } from "./runtime";

export const search = procedure.mutation
  .name("docs.search")
  .input(z.object({ query: z.string() }))
  .handler(async ({ context: ctx, input }) => {
    ctx.auth.requireAuth();

    // 검색 + 답변을 한 번에 (출처 포함)
    const { answer, sources } = await rag.ask(ctx, input.query);
    return { answer, sources };
  });

// 컴포넌트: AI + RAG + Memory
import { z } from "zod";
import { ai } from "./ai";
import { memory } from "./memory";
import { procedure } from "./runtime";

export const onboard = procedure.mutation
  .name("onboarding.ask")
  .input(z.object({ question: z.string(), conversationId: z.string() }))
  .handler(async ({ context: ctx, input }) => {
    ctx.auth.requireAuth();

    const { hits } = await memory.search(ctx, {
      namespace: "onboarding",
      scope: { conversation: input.conversationId },
      query: input.question,
    });

    return ai.chat({
      system: "Known about this user: " + JSON.stringify(hits),
      messages: [{ role: "user", content: input.question }],
    });
  });