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

@fazio/langchain-infomaniak

v1.0.0

Published

Infomaniak AI integration for LangChain.js

Readme

@fazio/langchain-infomaniak

LangChain.js integration for Infomaniak AI through their OpenAI-compatible API.

Installation

npm install @fazio/langchain-infomaniak @langchain/core

Configuration

You need an Infomaniak API token and a product ID. Set the following environment variables:

export INFOMANIAK_API_KEY="your-api-token"
export INFOMANIAK_PRODUCT_ID="your-product-id"

Chat Models

import { ChatInfomaniak } from "@fazio/langchain-infomaniak";

const model = new ChatInfomaniak({
  model: "qwen3",
  temperature: 0.7,
});

const response = await model.invoke("Hello, how are you?");
console.log(response.content);

Embeddings

import { InfomaniakEmbeddings } from "@fazio/langchain-infomaniak";

const embeddings = new InfomaniakEmbeddings({
  model: "bge_multilingual_gemma2",
});

const vector = await embeddings.embedQuery("Hello world");
console.log(vector.length);

LLM (Text Completion)

import { InfomaniakLLM } from "@fazio/langchain-infomaniak";

const llm = new InfomaniakLLM({
  model: "qwen3",
});

const result = await llm.invoke("Tell me a joke");
console.log(result);

Streaming

import { ChatInfomaniak } from "@fazio/langchain-infomaniak";

const model = new ChatInfomaniak({ model: "qwen3" });

for await (const chunk of await model.stream("Tell me a story")) {
  process.stdout.write(chunk.content as string);
}

Tool Calling

import { ChatInfomaniak } from "@fazio/langchain-infomaniak";

const model = new ChatInfomaniak({ model: "qwen3" });

const llmWithTools = model.bindTools([
  {
    name: "get_weather",
    description: "Get the current weather in a given location",
    schema: {
      type: "object",
      properties: {
        location: { type: "string", description: "The city name" },
      },
      required: ["location"],
    },
  },
]);

const result = await llmWithTools.invoke("What is the weather in Geneva?");
console.log(result.tool_calls);

Development

Setup

git clone https://github.com/0xfazio/langchain-infomaniak.git
cd langchain-infomaniak
npm install

# Build
npm run build

Testing

# Unit tests (no API key needed)
npm test

# Integration tests (requires API credentials)
export INFOMANIAK_API_KEY="your-api-token"
export INFOMANIAK_PRODUCT_ID="your-product-id"
npm run test:int

Linting

npm run lint

API Reference

  • Base URL: https://api.infomaniak.com/2/ai/{product_id}/openai/v1
  • Authentication: Bearer token via Authorization header
  • Docs: https://developer.infomaniak.com/getting-started