ZhipuAI has developed the GLM series of open source LLMs that are some of the world’s best performing and capable models today. Portkey provides a robust and secure gateway to seamlessly integrate these LLMs into your applications in the familiar OpenAI spec with just 2 LOC change! With Portkey, you can leverage powerful features like fast AI gateway, caching, observability, prompt management, and more, while securely managing your LLM API keys through a virtual key system.
Provider Slug. zhipu

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Portkey SDK Integration with ZhipuAI

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1. Install the Portkey SDK

Install the Portkey SDK in your project using npm or pip: 
npm install --save portkey-ai

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2. Initialize Portkey with the Virtual Key

To use ZhipuAI / ChatGLM / BigModel with Portkey, get your API key from here, then add it to Portkey to create the virtual key. 
import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    provider:"@PROVIDER" // Your ZhipuAI Virtual Key
})

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3. Invoke Chat Completions

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Who are you?' }],
    model: 'glm-4'
});

console.log(chatCompletion.choices);
I am an AI assistant named ZhiPuQingYan（智谱清言）, you can call me Xiaozhi🤖

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Next Steps

The complete list of features supported in the SDK are available on the link below.

SDK

 You’ll find more information in the relevant sections:
  1. Add metadata to your requests
  2. Add gateway configs to your ZhipuAI requests
  3. Tracing ZhipuAI requests
  4. Setup a fallback from OpenAI to ZhipuAI