npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@ramen-ai/sdk

v0.6.2

Published

The official TypeScript/Node.js SDK for the ramen ai PaaS and Expert Runtime.

Readme

@ramen-ai/sdk

The official TypeScript/Node.js SDK for the ramen ai platform — PaaS guardrail evaluation and Expert Runtime chat.

Get a free API key — register at ramenai.dev/pricing to get your ramen_ak_... key.

Install

npm install @ramen-ai/sdk

Quick Start

import { RamenClient } from '@ramen-ai/sdk';

const client = new RamenClient({ apiKey: 'ramen_ak_...' });

// Evaluate content against guardrail policies
const evaluation = await client.paas.evaluate({
  policy_ids: ['your-policy-id'],
  input: 'Content to evaluate',
});

console.log(evaluation.allowed);          // true | false
console.log(evaluation.total_violations); // GuardrailViolation[]
console.log(evaluation.statutory_anchors); // string[] — causal legal citations

// Chat with a deployed Expert
const chat = await client.experts.chat('your-expert-id', 'Hello!');
console.log(chat.response);

API Reference

RamenClient(config)

| Option | Type | Required | Description | |----------------|----------|----------|---------------------------------------------------------------------------------| | apiKey | string | Yes | Your ramen ai API key (ramen_ak_...) — get one at ramenai.dev/pricing | | baseUrl | string | No | Override the default https://api.ramenai.dev | | providerKey | string | No | BYOK — your own LLM provider key (OpenAI, Anthropic, etc.). Required on Developer and Professional tiers; omit on Business and Enterprise where managed inference is included. Forwarded as X-Provider-Key. | | providerName | string | No | BYOK — provider selector: "openai" (default) | "anthropic" | "google". Only meaningful with providerKey. |

client.paas.evaluate(request)

Evaluate input against one or more guardrail policies in parallel. Returns a PaasEvaluateResponse with:

  • allowed — the compliance verdict
  • total_violationsGuardrailViolation[] with reasoning and recovery_instruction (V5)
  • statutory_anchorsstring[] — causal legal citations bound to the verdict. Empty [] on allowed: true; anchors of violating policies only on allowed: false
  • receipt — V5 Ed25519-signed cryptographic audit receipt when configured server-side

client.paas.auditAsync(request)

Submit an asynchronous compliance audit. Results are delivered to your webhook URL.

client.experts.chat(expertId, message, history?)

Send a message to a deployed Expert and receive a response.

License

MIT