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Vercel AI SDK provides a robust framework for building AI applications with tool calling capabilities. This guide demonstrates how to integrate C1 by Thesys with Vercel AI SDK to build Generative UI agents.
This guide assumes you have basic knowledge of Vercel AI SDK and React. You’ll also need a Thesys API key from the C1 Console.
  • Building an agent
  • Building a chatbot
Integrating Thesys C1 with useCompletion from Vercel AI SDK allows you to easily create Generative UI based capabilities for your agent. useCompletion enables the streaming of text completions from your AI provider, manages the input state, and updates the UI automatically as new messages are received.
1

Create a new Vercel project

npx create-next-app@latest thesys-vercel-ai-sdk
2

Initiate the backend endpoint

npm install --save @vercel/ai @ai-sdk/openai
app/api/completion/route.ts
import { streamText } from "ai";
import { createOpenAI } from "@ai-sdk/openai";

// Allow streaming responses up to 30 seconds
export const maxDuration = 30;

export async function POST(req: Request) {
  const { prompt }: { prompt: string } = await req.json();

  const result = streamText({
    model: createOpenAI({
      apiKey: process.env.THESYS_API_KEY,
      baseURL: "https://api.thesys.dev/v1/embed",
    }).chat("c1/anthropic/claude-sonnet-4/v-20250815"),
    prompt,
  });

  return result.toUIMessageStreamResponse();
}
3

Render the response

npm install --save @thesysai/genui-sdk @crayonai/react-ui @crayonai/react-core
app/page.tsx
"use client";

import { useChat } from "@ai-sdk/react";
import { DefaultChatTransport } from "ai";
import { useState } from "react";
import { C1Component, ThemeProvider } from "@thesysai/genui-sdk";
import "@crayonai/react-ui/styles/index.css";

export default function Page() {
  const { messages, sendMessage, status } = useChat({
    transport: new DefaultChatTransport({
      api: "/api/chat",
    }),
  });
  const [input, setInput] = useState("");

  const handleC1Action = ({ llmFriendlyMessage, humanFriendlyMessage }) => {
    sendMessage({
      text: llmFriendlyMessage,
      metadata: { humanFriendlyMessage },
    });
  };

  return (
    <ThemeProvider>
      <div className="h-screen flex flex-col">
        <div className="flex-1 flex justify-center overflow-auto">
          <div className="w-full max-w-3xl p-4">
            <div className="space-y-3">
              {messages.map((message) => {
                const text = message.parts
                  .filter((part) => part.type === "text")
                  .map((part) => part.text)
                  .join("");
                return (
                  <div key={message.id} className="p-3 rounded-lg bg-gray-50">
                    {message.role === "user" ? (
                      <div className="text-sm text-gray-700">
                        {message.metadata?.humanFriendlyMessage || text}
                      </div>
                    ) : (
                      <C1Component
                        isStreaming={status === "streaming"}
                        c1Response={text}
                        onAction={handleC1Action}
                      />
                    )}
                  </div>
                );
              })}
            </div>
          </div>
        </div>

        <div className="p-4">
          <div className="max-w-lg mx-auto">
            <form
              onSubmit={(e) => {
                e.preventDefault();
                if (input.trim()) {
                  sendMessage({ text: input });
                  setInput("");
                }
              }}
              className="flex gap-2"
            >
              <input
                value={input}
                onChange={(e) => setInput(e.target.value)}
                disabled={status !== "ready"}
                placeholder="Say something..."
                className="flex-1 px-3 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-blue-500"
              />
              <button
                type="submit"
                disabled={status !== "ready"}
                className="px-4 py-2 bg-blue-500 text-white rounded-lg hover:bg-blue-600 disabled:opacity-50"
              >
                Send
              </button>
            </form>
          </div>
        </div>
      </div>
    </ThemeProvider>
  );
}
4

Run the app

export THESYS_API_KEY=<your-api-key>
npm run dev

View the code

Find more examples and complete code on our GitHub repository.
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