CLI Agent

export ALCHEMYST_AI_API_KEY=your_key_here
export GEMINI_API_KEY=your_key_here

npm install @alchemystai/sdk @google/generative-ai dotenv

import AlchemystAI from '@alchemystai/sdk';
import * as readline from 'readline';
import 'dotenv/config';
import { GoogleGenerativeAI } from "@google/generative-ai";

const client = new AlchemystAI({
  apiKey: process.env.ALCHEMYST_AI_API_KEY || '',
});

const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY || '');
const model = genAI.getGenerativeModel({ model: "gemini-2.0-flash" });

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
});

const askQuestion = (prompt: string): Promise<string> => {
  return new Promise((resolve) => {
    rl.question(prompt, (answer) => resolve(answer));
  });
};

async function runCLI() {
  console.log('Alchemyst AI CLI Tool');
  console.log('Type your questions and get AI-powered answers with context!');
  console.log('Type "exit", "quit", or "bye" to stop.\n');

  if (!process.env.ALCHEMYST_AI_API_KEY || !process.env.GEMINI_API_KEY) {
    console.error('Missing required environment variables.');
    process.exit(1);
  }

  while (true) {
    const userQuestion = await askQuestion('Ask me anything: ');

    if (['exit', 'quit', 'bye', 'stop'].includes(userQuestion.toLowerCase().trim())) {
      console.log('Goodbye!');
      break;
    }

    if (!userQuestion.trim()) {
      console.log(' Please enter a question.\n');
      continue;
    }

    console.log('Searching for relevant context...');

    const { contexts } = await client.v1.context.search({
      query: userQuestion,
      similarity_threshold: 0.8,
      minimum_similarity_threshold: 0.5,
      scope: 'internal',
    });

    let promptText = userQuestion;

    if (contexts && contexts.length > 0) {
      const formattedContexts = contexts
        .map((c, i) => `Context ${i + 1}: ${c.content}`)
        .join('\n\n');

      promptText = `
Based on the following context, answer the question.
If the context is insufficient, say so clearly.

Contexts:
${formattedContexts}

Question: ${userQuestion}
`;
    }

    console.log('Generating response...');
    const result = await model.generateContent(promptText);
    console.log(result.response.text());
    console.log('\n' + '─'.repeat(50) + '\n');
  }

  rl.close();
}

runCLI();

node index.js