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@memorilabs/axon

v0.1.3

Published

TypeScript SDK for Memori's cloud memory service

Downloads

1,399

Readme

Memori Labs


Getting Started

Install the Axon SDK and your preferred LLM client using your package manager of choice:

npm install @memorilabs/axon

(Note: Axon supports openai, @anthropic-ai/sdk, and @google/genai as optional peer dependencies).

Quickstart Example

import 'dotenv/config';
import { OpenAI } from 'openai';
import { Axon } from '@memorilabs/axon';

// 1. Initialize the LLM Client
const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

// 2. Initialize Axon and Register the Client
const axon = new Axon();
axon.llm.register(client);

// 3. Register a Before Hook (e.g., logging or modifying prompts)
axon.hook.before((req, ctx) => {
  console.log(`[${ctx.traceId}] Intercepted request to model: ${req.model}`);
  // You can modify the request here before it hits the provider
  return req;
});

// 4. Register an After Hook (e.g., token usage tracking)
axon.hook.after((req, res, ctx) => {
  console.log(`[${ctx.traceId}] Received response. Tokens used: ${res.usage?.totalTokens}`);
});

async function main() {
  console.log('Sending standard LLM request...');

  // 5. Use your client exactly as you normally would!
  // Axon intercepts this call in the background.
  const response = await client.chat.completions.create({
    model: 'gpt-4o',
    messages: [{ role: 'user', content: 'What is the speed of light?' }],
  });

  console.log(`AI: ${response.choices[0].message.content}`);
}

main().catch(console.error);

Key Features

  • Universal LLM Support: Works natively with OpenAI, Anthropic Claude, and Google Gemini SDKs.
  • Unified Hook System: Write your logic once. Axon normalizes requests and responses across all providers so your hooks work universally.
  • Zero Overhead: Plugs directly into your existing client initialization. No need to rewrite your agent or application logic.
  • Streaming Support: Seamlessly handles and aggregates asynchronous streaming responses.
  • Type-Safe: Written in strict TypeScript with comprehensive definitions for all provider payloads.

Supported LLMs

  • OpenAI (openai)
  • Anthropic Claude (@anthropic-ai/sdk)
  • Google Gemini (@google/genai)

Contributing

We welcome contributions from the community! Please see our Contributing Guidelines for details on:

  • Setting up your development environment
  • Code style and standards
  • Submitting pull requests
  • Reporting issues

Support


License

Apache 2.0 - see LICENSE