> ## Documentation Index
> Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# ZhipuAI / ChatGLM / BigModel

[ZhipuAI](https://open.bigmodel.cn/) 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.

<Note>
  Provider Slug. `zhipu`
</Note>

## Portkey SDK Integration with ZhipuAI

### 1. Install the Portkey SDK

Install the Portkey SDK in your project using npm or pip:

<Tabs>
  <Tab title="NodeJS">
    ```sh theme={"system"}
    npm install --save portkey-ai
    ```
  </Tab>

  <Tab title="Python">
    ```sh theme={"system"}
    pip install portkey-ai
    ```
  </Tab>
</Tabs>

### 2. Initialize Portkey with the Virtual Key

To use ZhipuAI / ChatGLM / BigModel with Portkey, [get your API key from here](https://bigmodel.cn/usercenter/apikeys), then add it to Portkey to create the virtual key.

<Tabs>
  <Tab title="NodeJS SDK">
    ```js theme={"system"}
    import Portkey from 'portkey-ai'

    const portkey = new Portkey({
        apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
        virtualKey: "VIRTUAL_KEY" // Your ZhipuAI Virtual Key
    })
    ```
  </Tab>

  <Tab title="Python SDK">
    ```python theme={"system"}
    from portkey_ai import Portkey

    portkey = Portkey(
        api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
        virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for ZhipuAI
    )
    ```
  </Tab>

  <Tab title="OpenAI Node SDK">
    ```js theme={"system"}
    import OpenAI from "openai";
    import { PORTKEY_GATEWAY_URL, createHeaders } from "portkey-ai";

    const portkey = new OpenAI({
      baseURL: PORTKEY_GATEWAY_URL,
      defaultHeaders: createHeaders({
        apiKey: "PORTKEY_API_KEY",
        virtualKey: "ZHIPUAI_VIRTUAL_KEY",
      }),
    });
    ```
  </Tab>

  <Tab title="OpenAI Python SDK">
    ```python theme={"system"}
    from openai import OpenAI
    from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

    portkey = OpenAI(
        base_url=PORTKEY_GATEWAY_URL,
        default_headers=createHeaders(
            api_key="PORTKEY_API_KEY",
            virtual_key="ZHIPUAI_VIRTUAL_KEY"
        )
    )
    ```
  </Tab>
</Tabs>

### 3. Invoke Chat Completions

<Tabs>
  <Tab title="Portkey OR OpenAI NodeJS SDK">
    ```js theme={"system"}
    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🤖
  </Tab>

  <Tab title="Portkey OR OpenAI Python SDK">
    ```python theme={"system"}
    completion = portkey.chat.completions.create(
        messages= [{ "role": 'user', "content": 'Say this is a test' }],
        model= 'glm-4'
    )

    print(completion)
    ```

    > I am an AI assistant named ZhiPuQingYan（智谱清言）, you can call me Xiaozhi🤖
  </Tab>

  <Tab title="cURL">
    ```sh theme={"system"}
    curl https://api.portkey.ai/v1/chat/completions \
      -H "Content-Type: application/json" \
      -H "x-portkey-api-key: $PORTKEY_API_KEY" \
      -H "x-portkey-virtual-key: $ZHIPUAI_VIRTUAL_KEY" \
      -d '{
        "messages": [{"role": "user","content": "Hello!"}],
        "model": "glm-4",
      }'
    ```

    > I am an AI assistant named ZhiPuQingYan（智谱清言）, you can call me Xiaozhi🤖
  </Tab>
</Tabs>

***

## Next Steps

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

<Card title="SDK" href="/api-reference/portkey-sdk-client" />

You'll find more information in the relevant sections:

1. [Add metadata to your requests](/product/observability/metadata)
2. [Add gateway configs to your ZhipuAI requests](/product/ai-gateway/configs)
3. [Tracing ZhipuAI requests](/product/observability/traces)
4. [Setup a fallback from OpenAI to ZhipuAI](/product/ai-gateway/fallbacks)