All Playbooks
AI Integrationintermediate

Building an AI Chatbot with Streaming

Create a production-ready AI chatbot with streaming responses, conversation history, and context management.

90 min6 steps

Technologies Used

OpenAIVercel AI SDKNext.jsReact

Implementation

Step by Step Guide

Follow these steps to implement this pattern in your project

1

AI SDK Setup

Install and configure Vercel AI SDK with OpenAI or Anthropic as a provider - see this comparison.
2

Chat API Route

Build streaming API endpoint for chat completions. Pairs with my AI integration service.
3

Chat UI Component

Create responsive chat interface with message history, styled with Tailwind and shadcn/ui.
4

Context Management

Implement conversation context and system prompts.
5

Error Handling

Add robust error handling and retry logic.
6

Rate Limiting

Implement rate limiting via the API security playbook.

Results

What You'll Achieve

Expected outcomes from implementing this playbook

Streaming AI responses
Conversation persistence
Context-aware interactions
Production-ready error handling
See production examples in my portfolio or contact me.

Need help implementing this?

I can help you implement this pattern in your project or customize it for your specific needs.

Discuss Your Project

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