Chat SDK by Vercel

Builds customizable AI chatbots with Next.js templates

Chat SDK is a free open-source Next.js template from Vercel that accelerates development of AI-powered chatbot applications using the AI SDK. It supports streaming responses, message persistence, and tool integrations for real-time interactions. The template includes UI components for chat interfaces, handling threading and history via hooks like useChat.

Key features encompass provider-agnostic model support, including OpenAI, Anthropic, and Grok, with capabilities for artifacts like code generation and image outputs. Customization occurs through TypeScript configs and Tailwind for styling. Deployment targets Vercel for edge computing, enabling low-latency global access. Recent updates integrate AI SDK 5 and AI Elements for enhanced UI and reasoning chains.

Competitors include Chainlit, a Python-based framework for AI agent chats with similar streaming but focused on backend scripting. Gradio provides interface building for ML demos, supporting chats yet prioritizing static shares over persistent sessions. Chat SDK offers free access without usage tiers, contrasting paid scaling in PubNub or Sendbird. Users appreciate quick starts and Vercel synergy, though deployment errors arise occasionally. Surprises involve seamless multimodal extensions via voice APIs.

Technical details feature React hooks for state, WebSockets for streaming, and optional databases for persistence. Paragraphs vary: short for emphasis. Long ones detail integrations.

Readers value the GitHub examples for tutorials on tools and models. Limitations include React dependency and manual fixes for advanced deploys.

Test locally with “npm run dev”, configure providers, then deploy to iterate features.

Chat SDK Homepage

Categories Coding Productivity

What are the key features? ⭐

Streaming responses: Delivers real-time message generation from AI models for fluid conversations.
Customizable UI: Allows theme overrides and component tweaks via Tailwind and React hooks.
Tool integrations: Supports function calling for external APIs and actions within chats.
Model agnostic: Works with multiple providers like OpenAI and Anthropic without code changes.
Artifact support: Enables generation of code, images, or files during interactions.

Who is it for? 🤔

Chat SDK is made for developers and teams building web-based AI chatbots, from hobbyists prototyping personal assistants to enterprises creating customer support interfaces. It appeals to those familiar with Next.js and React, offering a fast path to production without reinventing chat logic. Small startups benefit from its free nature and quick deploys, while larger ops leverage custom tools for complex workflows, though beginners might need extra ramp-up time.

Examples of what you can use it for 💭

Developer: Uses the template to prototype an internal Q&A bot querying code repos via tools.
E-commerce owner: Integrates it for product recommenders that stream suggestions based on user queries.
Educator: Builds interactive tutors generating explanations and diagrams with artifact support.
Support agent: Deploys a helpdesk bot handling tickets through persistent message history.
Content creator: Creates a writing assistant that calls APIs for research during chats.

Pros & Cons ⚖️

Free and open-source
Quick setup with Next.js
Streaming UI included

Deploy glitches possible
React knowledge needed

FAQs 💬

Is Chat SDK free to use?

Yes, it's an open-source template with no licensing fees, though model API calls incur separate costs.

What tech stack does it require?

Built on Next.js and React, with TypeScript support for the AI SDK integrations.

Can I use custom AI models?

Absolutely, it supports providers like OpenAI, Anthropic, and others via simple config swaps.

How do I deploy it?

Use Vercel's one-click deploy from GitHub, or manually via CLI; local dev runs with npm start.

Does it support streaming chats?

Yes, real-time responses stream via WebSockets for natural interactions.

What about message persistence?

Integrate a database like Vercel Postgres to save history across sessions.

Is there mobile support?

Web-first, but you can wrap it in frameworks like React Native for apps.

How customizable is the UI?

Highly, with Tailwind classes and component overrides for themes and features.

Are there examples or demos?

GitHub repo includes starters; check Vercel blog for tutorials.

What's new in recent updates?

AI SDK 5 adds better tools, artifacts, and UI elements for reasoning models.

Last update: September 21, 2025

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