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Zhongwei Li
381
templates/nodejs-example.ts
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381
templates/nodejs-example.ts
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// Complete Node.js examples for Claude API
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import Anthropic from '@anthropic-ai/sdk';
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import * as dotenv from 'dotenv';
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import * as readline from 'readline';
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dotenv.config();
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const anthropic = new Anthropic({
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apiKey: process.env.ANTHROPIC_API_KEY,
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});
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// Example 1: Simple CLI chatbot
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async function simpleCLIChatbot() {
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const rl = readline.createInterface({
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input: process.stdin,
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output: process.stdout,
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});
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const messages: Anthropic.MessageParam[] = [];
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console.log('Claude CLI Chatbot (type "exit" to quit)\n');
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const chat = async () => {
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rl.question('You: ', async (userInput) => {
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if (userInput.toLowerCase() === 'exit') {
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console.log('Goodbye!');
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rl.close();
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return;
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}
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messages.push({ role: 'user', content: userInput });
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try {
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const response = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 1024,
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messages,
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});
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const textContent = response.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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console.log(`\nClaude: ${textContent.text}\n`);
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messages.push({ role: 'assistant', content: textContent.text });
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}
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} catch (error) {
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console.error('Error:', error.message);
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}
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chat();
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});
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};
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chat();
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}
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// Example 2: Streaming CLI chatbot
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async function streamingCLIChatbot() {
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const rl = readline.createInterface({
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input: process.stdin,
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output: process.stdout,
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});
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console.log('Streaming Claude CLI Chatbot (type "exit" to quit)\n');
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const chat = async () => {
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rl.question('You: ', async (userInput) => {
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if (userInput.toLowerCase() === 'exit') {
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console.log('Goodbye!');
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rl.close();
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return;
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}
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try {
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process.stdout.write('\nClaude: ');
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const stream = anthropic.messages.stream({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 1024,
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messages: [{ role: 'user', content: userInput }],
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});
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let fullText = '';
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stream.on('text', (text) => {
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process.stdout.write(text);
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fullText += text;
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});
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await stream.finalMessage();
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console.log('\n');
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} catch (error) {
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console.error('\nError:', error.message);
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}
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chat();
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});
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};
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chat();
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}
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// Example 3: Batch processing from file
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import * as fs from 'fs';
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async function batchProcessing(inputFile: string, outputFile: string) {
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const lines = fs.readFileSync(inputFile, 'utf-8').split('\n').filter(Boolean);
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const results = [];
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console.log(`Processing ${lines.length} prompts...`);
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for (let i = 0; i < lines.length; i++) {
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const prompt = lines[i];
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console.log(`\n[${i + 1}/${lines.length}] Processing: ${prompt.substring(0, 50)}...`);
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try {
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const message = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 1024,
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messages: [{ role: 'user', content: prompt }],
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});
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const textContent = message.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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results.push({
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prompt,
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response: textContent.text,
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tokens: message.usage,
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});
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}
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// Rate limiting pause
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await new Promise(resolve => setTimeout(resolve, 1000));
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} catch (error) {
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console.error(`Error processing prompt ${i + 1}:`, error.message);
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results.push({
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prompt,
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error: error.message,
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});
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}
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}
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fs.writeFileSync(outputFile, JSON.stringify(results, null, 2));
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console.log(`\nResults written to ${outputFile}`);
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}
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// Example 4: Document summarization
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async function summarizeDocument(filePath: string) {
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const document = fs.readFileSync(filePath, 'utf-8');
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const message = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 2048,
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system: 'You are an expert document summarizer. Provide concise, accurate summaries.',
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messages: [
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{
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role: 'user',
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content: [
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{
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type: 'text',
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text: 'Summarize the following document in 3-5 bullet points:',
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},
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{
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type: 'text',
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text: document,
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cache_control: { type: 'ephemeral' },
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},
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],
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},
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],
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});
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const textContent = message.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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console.log('Summary:');
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console.log(textContent.text);
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console.log('\nToken usage:', message.usage);
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}
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}
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// Example 5: Code review assistant
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async function codeReview(codeContent: string, language: string) {
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const message = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 2048,
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system: `You are an expert ${language} code reviewer. Analyze code for:
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- Bugs and potential issues
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- Performance optimizations
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- Security vulnerabilities
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- Best practices
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- Code style and readability`,
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messages: [
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{
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role: 'user',
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content: `Review this ${language} code:\n\n\`\`\`${language}\n${codeContent}\n\`\`\``,
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},
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],
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});
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const textContent = message.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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console.log('Code Review:');
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console.log(textContent.text);
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}
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}
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// Example 6: Translation service
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async function translateText(text: string, from: string, to: string) {
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const message = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 1024,
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messages: [
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{
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role: 'user',
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content: `Translate the following text from ${from} to ${to}:\n\n${text}`,
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},
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],
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});
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const textContent = message.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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return textContent.text;
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}
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return null;
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}
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// Example 7: Parallel requests
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async function parallelRequests(prompts: string[]) {
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console.log(`Processing ${prompts.length} prompts in parallel...`);
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const promises = prompts.map(async (prompt, index) => {
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try {
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const message = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 512,
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messages: [{ role: 'user', content: prompt }],
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});
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const textContent = message.content.find(b => b.type === 'text');
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return {
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index,
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prompt,
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response: textContent && textContent.type === 'text' ? textContent.text : null,
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};
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} catch (error) {
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return {
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index,
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prompt,
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error: error.message,
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};
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}
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});
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const results = await Promise.all(promises);
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return results;
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}
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// Example 8: Retry logic with exponential backoff
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async function requestWithRetry(
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prompt: string,
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maxRetries = 3,
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baseDelay = 1000
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): Promise<string> {
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for (let attempt = 0; attempt < maxRetries; attempt++) {
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try {
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const message = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 1024,
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messages: [{ role: 'user', content: prompt }],
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});
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const textContent = message.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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return textContent.text;
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}
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throw new Error('No text content in response');
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} catch (error) {
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if (error instanceof Anthropic.APIError && error.status === 429) {
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if (attempt < maxRetries - 1) {
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const delay = baseDelay * Math.pow(2, attempt);
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console.warn(`Rate limited. Retrying in ${delay}ms...`);
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await new Promise(resolve => setTimeout(resolve, delay));
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continue;
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}
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}
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throw error;
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}
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}
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throw new Error('Max retries exceeded');
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}
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// Example 9: Conversation logger
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class ConversationLogger {
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private messages: Anthropic.MessageParam[] = [];
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private logFile: string;
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constructor(logFile: string) {
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this.logFile = logFile;
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}
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async chat(userMessage: string): Promise<string> {
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this.messages.push({ role: 'user', content: userMessage });
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const response = await anthropic.messages.create({
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model: 'claude-sonnet-4-5-20250929',
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max_tokens: 1024,
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messages: this.messages,
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});
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const textContent = response.content.find(b => b.type === 'text');
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if (textContent && textContent.type === 'text') {
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this.messages.push({ role: 'assistant', content: textContent.text });
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this.save();
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return textContent.text;
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}
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throw new Error('No response');
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}
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private save() {
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fs.writeFileSync(this.logFile, JSON.stringify(this.messages, null, 2));
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}
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load() {
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if (fs.existsSync(this.logFile)) {
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this.messages = JSON.parse(fs.readFileSync(this.logFile, 'utf-8'));
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}
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}
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}
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// Run examples
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if (require.main === module) {
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const args = process.argv.slice(2);
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const example = args[0];
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switch (example) {
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case 'cli':
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simpleCLIChatbot();
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break;
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case 'stream':
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streamingCLIChatbot();
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break;
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case 'batch':
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batchProcessing(args[1], args[2] || 'output.json');
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break;
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case 'summarize':
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summarizeDocument(args[1]);
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break;
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case 'review':
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const code = fs.readFileSync(args[1], 'utf-8');
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codeReview(code, args[2] || 'typescript');
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break;
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case 'translate':
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translateText(args[1], args[2], args[3]).then(console.log);
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break;
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default:
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console.log('Available examples:');
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console.log('- cli: Interactive chatbot');
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console.log('- stream: Streaming chatbot');
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console.log('- batch <input> [output]: Batch processing');
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console.log('- summarize <file>: Document summarization');
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console.log('- review <file> [language]: Code review');
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console.log('- translate <text> <from> <to>: Translation');
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}
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}
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export {
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simpleCLIChatbot,
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streamingCLIChatbot,
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batchProcessing,
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summarizeDocument,
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codeReview,
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translateText,
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parallelRequests,
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requestWithRetry,
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ConversationLogger,
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};
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