npm install @anthropic-ai/sdk

// lib/claude.ts
import Anthropic from '@anthropic-ai/sdk'
 
export const claude = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY!,
})

// app/api/chat/route.ts (Next.js)
import { claude } from '@/lib/claude'
 
export async function POST(req: Request) {
  const { messages, systemPrompt } = await req.json()
 
  const stream = await claude.messages.create({
    model: 'claude-sonnet-4-6',
    max_tokens: 1024,
    system: systemPrompt,
    messages,
    stream: true,
  })
 
  // Return a ReadableStream to the client
  const readable = new ReadableStream({
    async start(controller) {
      for await (const event of stream) {
        if (event.type === 'content_block_delta' && event.delta.type === 'text_delta') {
          controller.enqueue(new TextEncoder().encode(event.delta.text))
        }
        if (event.type === 'message_stop') {
          controller.close()
        }
      }
    },
  })
 
  return new Response(readable, {
    headers: {
      'Content-Type': 'text/plain; charset=utf-8',
      'Transfer-Encoding': 'chunked',
    },
  })
}

// components/ChatStream.tsx — consuming streamed response
'use client'
 
import { useState } from 'react'
 
export default function ChatStream() {
  const [response, setResponse] = useState('')
  const [loading, setLoading] = useState(false)
 
  async function sendMessage(message: string) {
    setLoading(true)
    setResponse('')
 
    const res = await fetch('/api/chat', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({
        messages: [{ role: 'user', content: message }],
        systemPrompt: 'You are a helpful coding assistant.',
      }),
    })
 
    const reader = res.body!.getReader()
    const decoder = new TextDecoder()
 
    while (true) {
      const { done, value } = await reader.read()
      if (done) break
      setResponse(prev => prev + decoder.decode(value))
    }
 
    setLoading(false)
  }
 
  return (
    <div>
      <button onClick={() => sendMessage('Explain async/await in JavaScript')}>
        Ask Claude
      </button>
      {loading && <p>Thinking...</p>}
      <div>{response}</div>
    </div>
  )
}

const CODE_REVIEW_SYSTEM_PROMPT = `You are a senior software engineer doing a thorough code review.
 
When reviewing code:
- Focus on correctness, security, and performance in that order
- Point out specific line numbers when referencing issues
- Explain WHY something is a problem, not just that it is one
- Suggest concrete improvements with example code
- Be direct but constructive — you're helping a colleague, not grading homework
 
Format your review as:
1. Summary (2-3 sentences)
2. Critical issues (must fix before merging)
3. Suggestions (nice to have)
4. What's done well
 
If there are no critical issues, say so clearly.`

const DOCUMENTATION_SYSTEM_PROMPT = `You are a technical writer who specializes in developer documentation.
 
Rules:
- Write for developers, not managers
- Use active voice
- Include runnable code examples for every concept
- Don't explain what something is — explain when and why to use it
- Keep paragraphs to 3 sentences maximum
- Use second person ("you") not third person ("the developer")`

import Anthropic from '@anthropic-ai/sdk'
 
const claude = new Anthropic()
 
const tools: Anthropic.Tool[] = [
  {
    name: 'get_post_by_slug',
    description: 'Fetch a blog post by its URL slug. Use this when the user asks about a specific post.',
    input_schema: {
      type: 'object',
      properties: {
        slug: {
          type: 'string',
          description: 'The URL slug of the post, e.g. "nextjs-server-components"',
        },
      },
      required: ['slug'],
    },
  },
  {
    name: 'search_posts',
    description: 'Search blog posts by keyword. Use when the user asks to find posts about a topic.',
    input_schema: {
      type: 'object',
      properties: {
        query: { type: 'string', description: 'Search query' },
        limit: { type: 'number', description: 'Max results to return (default 5)' },
      },
      required: ['query'],
    },
  },
]
 
async function chatWithTools(userMessage: string) {
  const messages: Anthropic.MessageParam[] = [
    { role: 'user', content: userMessage },
  ]
 
  while (true) {
    const response = await claude.messages.create({
      model: 'claude-sonnet-4-6',
      max_tokens: 1024,
      tools,
      messages,
    })
 
    if (response.stop_reason === 'end_turn') {
      const textBlock = response.content.find(b => b.type === 'text')
      return textBlock?.type === 'text' ? textBlock.text : ''
    }
 
    if (response.stop_reason === 'tool_use') {
      // Add Claude's response (with tool calls) to history
      messages.push({ role: 'assistant', content: response.content })
 
      // Execute each tool call
      const toolResults: Anthropic.ToolResultBlockParam[] = []
 
      for (const block of response.content) {
        if (block.type !== 'tool_use') continue
 
        let result: string
        if (block.name === 'get_post_by_slug') {
          const post = await getPostBySlug((block.input as any).slug)
          result = post ? JSON.stringify(post) : 'Post not found'
        } else if (block.name === 'search_posts') {
          const posts = await searchPosts((block.input as any).query)
          result = JSON.stringify(posts)
        } else {
          result = 'Unknown tool'
        }
 
        toolResults.push({
          type: 'tool_result',
          tool_use_id: block.id,
          content: result,
        })
      }
 
      // Add tool results to history and continue
      messages.push({ role: 'user', content: toolResults })
    }
  }
}

const response = await claude.messages.create({
  model: 'claude-sonnet-4-6',
  max_tokens: 1024,
  system: [
    {
      type: 'text',
      text: longSystemPrompt, // Your 2000-word system prompt
      cache_control: { type: 'ephemeral' }, // Cache this!
    },
  ],
  messages: [{ role: 'user', content: userMessage }],
})

import Anthropic from '@anthropic-ai/sdk'
 
export async function callClaude(prompt: string, retries = 2): Promise<string> {
  try {
    const response = await claude.messages.create({
      model: 'claude-sonnet-4-6',
      max_tokens: 1024,
      messages: [{ role: 'user', content: prompt }],
    })
 
    const text = response.content[0]
    return text.type === 'text' ? text.text : ''
 
  } catch (error) {
    if (error instanceof Anthropic.RateLimitError && retries > 0) {
      await new Promise(r => setTimeout(r, 2000))
      return callClaude(prompt, retries - 1)
    }
 
    if (error instanceof Anthropic.APIStatusError) {
      if (error.status >= 500 && retries > 0) {
        await new Promise(r => setTimeout(r, 1000))
        return callClaude(prompt, retries - 1)
      }
      throw new Error(`Claude API error: ${error.status} ${error.message}`)
    }
 
    throw error
  }
}