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@spyglass_ai/sdk

v0.1.0

Published

TypeScript SDK for shipping telemetry data to the Spyglass AI platform

Readme

Spyglass TypeScript SDK

TypeScript SDK for shipping telemetry data to the Spyglass AI platform.

Installation

npm install @spyglass-ai/sdk

or

yarn add @spyglass-ai/sdk

Configuration

Set the following environment variables:

Required

  • SPYGLASS_API_KEY: Your Spyglass API key
  • SPYGLASS_DEPLOYMENT_ID: Unique identifier for your deployment

Optional

  • SPYGLASS_OTEL_EXPORTER_OTLP_ENDPOINT: Custom endpoint for development

Example Configuration

export SPYGLASS_API_KEY="your-api-key"
export SPYGLASS_DEPLOYMENT_ID="user-service-v1.2.0"

Usage

Basic Function Tracing

Use spyglassTrace to wrap functions:

import { spyglassTrace } from '@spyglass-ai/sdk';

const calculateTotal = spyglassTrace()((price: number, taxRate: number) => {
  return price * (1 + taxRate);
});

const result = calculateTotal(100, 0.08);

With a custom span name:

const processPayment = spyglassTrace({ name: 'payment_processing' })(
  (amount: number, cardInfo: any) => {
    return { status: 'success', transactionId: 'tx_123' };
  }
);

Async Function Tracing

Async functions work the same way:

const fetchUser = spyglassTrace()(async (userId: string) => {
  const response = await fetch(`/api/users/${userId}`);
  return response.json();
});

OpenAI Integration

Wrap your OpenAI client to trace API calls:

import OpenAI from 'openai';
import { spyglassOpenai } from '@spyglass-ai/sdk';

const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

const tracedClient = spyglassOpenai(client);

const response = await tracedClient.chat.completions.create({
  model: 'gpt-3.5-turbo',
  messages: [{ role: 'user', content: 'Hello!' }],
  max_tokens: 100,
});

Complete Example

import OpenAI from 'openai';
import { spyglassTrace, spyglassOpenai } from '@spyglass-ai/sdk';

const client = spyglassOpenai(
  new OpenAI({
    apiKey: process.env.OPENAI_API_KEY,
  })
);

const haveConversation = spyglassTrace({ name: 'ai_conversation' })(
  async (userMessage: string) => {
    const response = await client.chat.completions.create({
      model: 'gpt-3.5-turbo',
      messages: [{ role: 'user', content: userMessage }],
      max_tokens: 150,
    });
    return response.choices[0].message.content;
  }
);

const answer = await haveConversation('What is the capital of France?');
console.log(answer);

What Gets Traced

Function Tracing (spyglassTrace)

  • Function name and qualified name
  • Input arguments
  • Return values
  • Execution time
  • Exceptions

OpenAI Integration (spyglassOpenai)

  • Model used
  • Number of messages
  • Request parameters (max_tokens, temperature, etc.)
  • Token usage (prompt, completion, total)
  • Response model
  • API errors

Development

Install Dependencies

npm install

Build

npm run build

Run Tests

npm test

Run Tests with Coverage

npm run test:coverage

Lint

npm run lint

Format

npm run format

TypeScript Support

Full TypeScript definitions included.

License

MIT