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@loopers/client

v1.0.0

Published

A premium TypeScript client wrapper for the Loopers AI budget & rate-limit proxy.

Readme

Loopers TypeScript SDK (@loopers/client)

The @loopers/client package provides a drop-in wrapper around official OpenAI and Anthropic SDK clients to make integration with the Loopers cost firewall seamless in Node.js and browser environments.

Installation

npm install @loopers/client

Additionally, install the official provider package you plan to use:

npm install openai
# or
npm install @anthropic-ai/sdk

Features

  • Automatic Headers Injection: Automatically handles injection of Loopers proxy keys (Authorization), upstream provider keys (X-Loopers-Provider-Key), and session budget limits.
  • Custom Attributes: Intercepts response parsing and attaches cost metadata directly to the returned objects.

Usage

OpenAI Integration

Replace OpenAI with LoopersOpenAI:

import { LoopersOpenAI } from '@loopers/client';

// Initialize client
const client = new LoopersOpenAI({
  loopersUrl: 'http://localhost:8080',
  loopersKey: 'lp-xxx',          // Loopers proxy key
  providerKey: 'sk-proj-xxx',    // Upstream OpenAI key
  sessionId: 'agent-run-123',    // Optional: track steps and budget for an agent session
  sessionBudget: 2.50,           // Optional: limit session to $2.50
  maxSteps: 20                   // Optional: limit session to 20 steps
});

// Call completions exactly like the official client
const response = await client.chat.completions.create({
  model: 'gpt-4o',
  messages: [{ role: 'user', content: 'Hello!' }],
});

// Inspect budget/cost metadata attached to response
console.log(`Request Cost: $${(response as any).loopers_cost} USD`);
console.log(`Estimated Cost: $${(response as any).loopers_cost_estimated} USD`);
console.log(`Session Spend: $${(response as any).loopers_session_spend} USD`);
console.log(`Session Steps: ${(response as any).loopers_session_steps}`);
console.log(`Session Remaining: $${(response as any).loopers_session_remaining} USD`);

Anthropic Integration

import { LoopersAnthropic } from '@loopers/client';

const client = new LoopersAnthropic({
  loopersUrl: 'http://localhost:8080',
  loopersKey: 'lp-xxx',
  providerKey: 'sk-ant-xxx'
});

const response = await client.messages.create({
  model: 'claude-3-5-sonnet-latest',
  max_tokens: 1000,
  messages: [{ role: 'user', content: 'Hello!' }]
});

console.log(`Request Cost: $${(response as any).loopers_cost} USD`);

Other Providers (Groq, Mistral, DeepSeek, Together)

Because these providers are OpenAI-compatible, they share the exact same interface as LoopersOpenAI. Simply substitute the class name:

import { LoopersGroq } from '@loopers/client';

// Example using Groq
const client = new LoopersGroq({
  loopersUrl: 'http://localhost:8080',
  loopersKey: 'lp-xxx',
  providerKey: 'gsk_xxx'
});

License

MIT