What is it?

Consoles gives AI applications access to infrastructure and enhanced capabilities through clean, intuitive APIs.

Available APIs

Extract

Transform any content into structured data with AI.

Installation

npm install consoles-ai

Quick Start

import { Console } from 'consoles-ai';
import { z } from 'zod';

const consoles = new Console('key');

// Using Zod schema with descriptions
const productSchema = z.object({
  name: z.string().describe('Product name'),
  price: z.number().describe('Price in USD'),
  description: z.string().describe('Product description'),
  inStock: z.boolean().optional().describe('Current availability status')
});

const data = await consoles.extract({
  type: 'text',
  content: `
    New iPhone 15 Pro
    Price: $999
    Experience the most powerful iPhone ever.
    Currently in stock.
  `,
  schema: productSchema
});

// Response:
// {
//   status: 'success',
//   result: {
//     name: "iPhone 15 Pro",
//     price: 999,
//     description: "Experience the most powerful iPhone ever",
//     inStock: true
//   },
//   usage: {
//     input_tokens: 28,
//     output_tokens: 12,
//     total_tokens: 40,
//     total_cost: "0.0004"
//   }
// }

Examples

Document Analysis

// Using JSON Schema
const financials = await consoles.extract({
  type: 'url',
  content: 'https://s22.q4cdn.com/959853165/files/doc_financials/2023/ar/NVDA-2023-Annual-Report.pdf',
  schema: {
    type: 'object',
    properties: {
      revenue: { type: 'number', description: 'Total revenue in millions USD' },
      netIncome: { type: 'number', description: 'Net income in millions USD' },
      gpuRevenue: { type: 'number', description: 'Revenue from GPU segment' }
    },
    required: ['revenue', 'netIncome']
  },
  prompt: 'Extract the key financial metrics from FY2023'
});

// Response
{
  status: 'success',
  result: {
    revenue: 26974,
    netIncome: 4368,
    gpuRevenue: 22035
  },
  usage: {
    input_tokens: 4537,
    output_tokens: 21,
    total_tokens: 4558,
    total_cost: "0.0058"
  }
}

Media Processing

// Extract podcast insights
const podcastSchema = z.object({
  topics: z.array(z.string()).describe('Main topics discussed in the podcast'),
  keyMoments: z.array(
    z.object({
      timestamp: z.string().describe('Timestamp in HH:MM:SS format'),
      summary: z.string().describe('Brief summary of the key moment')
    })
  )
});

const podcast = await consoles.extract({
  type: 'file',
  content: {
    data: audioBuffer.toString('base64'),
    mimeType: 'audio/mp3'
  },
  schema: podcastSchema
});

// Response
{
  status: 'success',
  result: {
    topics: [
      "AI Safety",
      "Neural Networks",
      "Future of Computing"
    ],
    keyMoments: [
      {
        timestamp: "00:05:30",
        summary: "Discussion on transformer architecture"
      },
      {
        timestamp: "00:15:45",
        summary: "Debate about AI regulation"
      }
    ]
  },
  usage: {
    input_tokens: 8842,
    output_tokens: 89,
    total_tokens: 8931,
    total_cost: "0.0115"
  }
}

// Generate YouTube chapters
const chapterSchema = z.array(
  z.object({
    timestamp: z.string().describe('Chapter start time in HH:MM:SS format'),
    title: z.string().describe('Short, descriptive chapter title'),
    summary: z.string().describe('Detailed description of chapter content')
  })
);

const chapters = await consoles.extract({
  type: 'url',
  content: 'https://youtube.com/watch?v=example',
  schema: chapterSchema,
  prompt: 'Based on the video provided, Generate detailed chapter markers with timestamps and summaries'
});

// Response
{
  status: 'success',
  result: [
    {
      timestamp: "00:00:00",
      title: "Introduction",
      summary: "Overview of topics and speaker introduction"
    },
    {
      timestamp: "00:02:15",
      title: "Core Concepts",
      summary: "Explanation of fundamental principles and key terminology"
    },
    {
      timestamp: "00:15:30",
      title: "Real World Applications",
      summary: "Practical examples and use cases in production environments"
    }
  ],
  usage: {
    input_tokens: 3245,
    output_tokens: 156,
    total_tokens: 3401,
    total_cost: "0.0043"
  }
}

Browser

Managed browser automation at scale.

Computer

On-demand compute resources for AI workloads.

Documentation

Visit our documentation for more information.

Links

Docs • Discord • [email protected]