zhipu-ai-provider-fkysly has 1,221 recorded weekly downloads on npm, an increase of 2005% over the past 30 days.
About zhipu-ai-provider-fkysly
Zhipu AI Provider - Vercel AI SDK Community Provider
This is a Zhipu prodiver for the AI SDK. It enables seamless integration with GLM and Embedding Models provided on bigmodel.cn.
Setup
# npm
npm i zhipu-ai-provider
# pnpm
pnpm add zhipu-ai-provider
# yarn
yarn add zhipu-ai-provider
Set up your .env file / environment with your API key.
ZHIPU_API_KEY=<your-api-key>
Provider Instance
You can import the default provider instance zhipu from zhipu-ai-provider (This automatically reads the API key from the environment variable ZHIPU_API_KEY):
import { zhipu } from 'zhipu-ai-provider'
Alternatively, you can create a provider instance with custom configuration with createZhipu:
import { createZhipu } from 'zhipu-ai-provider';
const zhipu = createZhipu({
baseURL: "https://api.z.ai/api/paas/v4",
apiKey: "your-api-key"
});
You can use the following optional settings to customize the Zhipu provider instance:
- baseURL: string
- Use a different URL prefix for API calls, e.g. to use proxy servers. The default prefix is
https://api.z.ai/api/paas/v4.
- Use a different URL prefix for API calls, e.g. to use proxy servers. The default prefix is
- apiKey: string
- Your API key for Zhipu BigModel Platform. If not provided, the provider will attempt to read the API key from the environment variable
ZHIPU_API_KEY.
- Your API key for Zhipu BigModel Platform. If not provided, the provider will attempt to read the API key from the environment variable
- headers: Record<string,string>
- Custom headers to include in the requests.
Language Model Example
import { generateText } from 'ai';
import { zhipu } from 'zhipu-ai-provider';
const { text } = await generateText({
model: zhipu('glm-4-plus'),
prompt: 'Why is the sky blue?',
});
console.log(result)
Embedding Example
const { embedding } = await embed({
model: zhipu.textEmbeddingModel("embedding-3", {
dimensions: 256, // Optional, defaults to 2048
}),
value: "Hello, world!",
});
console.log(embedding);
Image Generation Example
Zhipu supports image generation with the cogview models, but the api does not return images in base64 or buffer format, so the image urls are returned in the providerMetadata field.
import { experimental_generateImage as generateImage } from 'ai';
import { zhipu } from 'zhipu-ai-provider';
const { image, providerMetadata } = await generateImage({
model: zhipu.ImageModel('cogview-4-250304'),
prompt: 'A beautiful landscape with mountains and a river',
size: '1024x1024', // optional
providerOptions: { // optional
zhipu: {
quality: 'hd'
}
}
});
console.log(providerMetadata.zhipu.images[0].url)
Features Support
- Text generation
- Text embedding
- Image generation
- Chat
- Tools
- Streaming
- Structured output
- Reasoning
- Vision
- Vision Reasoning
- Provider-defined tools
- Voice Models
Documentation
Description from the npm listing.
- zhipu
- bigmodel
- glm
- ai
- provider
- vercel-ai
- vercel
- ai-sdk
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Charts
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Adoption over time
7/30/90-day growth
Ranking history
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Weekly downloads (trailing 7 complete days) come from the official npm downloads API. Downloads include CI and mirrors and are not equivalent to installs or users. npm publishes no ratings.
Listing: https://www.npmjs.com/package/zhipu-ai-provider-fkysly. First seen Oct 16, 2026; last successful collection Oct 27, 2026. See the methodology.