import { CascadeAgent } from '@cascadeflow/core';

const agent = new CascadeAgent({
  models: [
    { name: 'gpt-4o-mini', provider: 'openai', cost: 0.000375 },
    { name: 'gpt-4o', provider: 'openai', cost: 0.00625 },
  ],
});

const result = await agent.run('Summarize this document');
console.log(result.content);
console.log(`Model: ${result.modelUsed}, Cost: $${result.totalCost}`);

# Core package
npm install @cascadeflow/core

# Vercel AI SDK integration
npm install @cascadeflow/vercel-ai

# LangChain integration
npm install @cascadeflow/langchain @langchain/core @langchain/openai

const result = await agent.run('What is TypeScript?');
// result.modelUsed → 'gpt-4o-mini' (if draft accepted)
// result.savingsPercentage → 94

import { createChatHandler } from '@cascadeflow/vercel-ai';

const handler = createChatHandler(agent, {
  protocol: 'data',
  maxSteps: 5,
});

import { withCascade } from '@cascadeflow/langchain';

const cascade = withCascade({
  drafter: new ChatOpenAI({ model: 'gpt-4o-mini' }),
  verifier: new ChatAnthropic({ model: 'claude-sonnet-4' }),
});

const chain = prompt.pipe(cascade).pipe(new StringOutputParser());