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@paid-ai/instrument-repo

v1.0.5

Published

Instrument repository with the Paid platform

Downloads

16

Readme

@paid-ai/instrument-repo

Automatically instrument your repository with the Paid platform for AI agent tracing and analytics. 5-phase setup process that detects your codebase, sets up dependencies, and transforms your AI SDK code.

Usage

npx @paid-ai/instrument-repo

Generate your free API key at https://app.paid.ai/.

What it does

The tool follows a structured 5-phase process:

  1. Analysis Phase - Auto-detects language, framework, package manager, and existing setup
  2. Planning Phase - Asks for missing information with detected values as defaults
  3. Setup Phase - Installs packages, creates .env files, and sets up client utilities
  4. Detection Phase - Finds AI SDK method calls that need instrumentation
  5. Transformation Phase - Uses LLM to transform your code with Paid tracing

Supported Languague Framework Combinations

Currently supports:

  • Node.js + Vercel AI SDK projects

What gets created

  • utils/client.ts (or similar) - Paid client initialization
  • .env file with your Paid API key
  • Transforms AI SDK calls (streamText, generateObject, generateText) to use Paid tracing

Requirements

  • Paid API Key - For platform access and tracing
  • OpenAI API Key - For LLM code transformations
  • Customer ID - Used in tracing calls to identify your users

Example Transformation

Before:

import { streamText } from 'ai';

const result = await streamText({
  model: openai('gpt-4'),
  prompt: 'Hello'
});

After:

import { paidStreamText } from '@paid-ai/paid-node/vercel';
import { getClient } from '../utils/client';

const client = await getClient();
const result = await client.trace('customer-123', async () => {
  return await paidStreamText({
    model: openai('gpt-4'),
    prompt: 'Hello'
  });
});