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Documentation Index

Fetch the complete documentation index at: https://docs.voight.xyz/llms.txt

Use this file to discover all available pages before exploring further.

Z.ai (rebranded from Zhipu AI in 2025) publishes the GLM model family — GLM-5, GLM-4.7, GLM-4.5, plus vision variants and OCR. Voight ships pricing entries for every model in the official Z.ai catalogue, so events from GLM calls land in your dashboard with the same cost / token / latency capture as any other provider. The Z.ai API at https://api.z.ai/api/paas/v4 is officially OpenAI-compatible, which means the same Voight SDK family that wraps OpenAI / Anthropic also covers GLM — no separate package needed.

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Three setup paths

Pick the one that matches how your app calls GLM:
Your stackPath
Express / vanilla Node calling Z.ai via the OpenAI SDKDirect wrapper
Next.js / any app using the Vercel AI SDK + zhipu-ai-providerVercel AI SDK exporter
Autonomous bot / library code emitting events directlyLibrary mode

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Direct wrapper (@voightxyz/openai)

Because Z.ai is OpenAI-compatible, @voightxyz/openai works zero-code — just point the OpenAI client at Z.ai’s base URL: 
import OpenAI from 'openai'
import { wrapOpenAI } from '@voightxyz/openai'

const glm = wrapOpenAI(
  new OpenAI({
    baseURL: 'https://api.z.ai/api/paas/v4',
    apiKey: process.env.ZHIPU_API_KEY,
  }),
  {
    voightApiKey: process.env.VOIGHT_KEY,
    agent: 'production-chat-api',
    privacy: 'standard',
  },
)

const result = await glm.chat.completions.create({
  model: 'glm-4.5',
  messages: [{ role: 'user', content: 'Hello' }],
})
Every call captures prompts, tokens, response text, tool calls, finish reason, and latency. The cost is computed from the Voight backend’s MODEL_PRICING table using the GLM rates listed below.

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Vercel AI SDK (@voightxyz/vercel-ai)

If your app uses the Vercel AI SDK with the community zhipu-ai-provider, @voightxyz/vercel-ai captures every streamText / generateText / streamObject / generateObject call automatically via OpenTelemetry — same as for OpenAI or Anthropic targets. 
import { registerOTel } from '@vercel/otel'
import { VoightExporter } from '@voightxyz/vercel-ai'

export function register() {
  registerOTel({
    serviceName: 'my-app',
    traceExporter: new VoightExporter({
      agent: 'production-chat-api',
      privacy: 'standard',
    }),
  })
}

import { streamText } from 'ai'
import { zhipu } from 'zhipu-ai-provider'

export async function POST(req: Request) {
  const result = streamText({
    model: zhipu('glm-4.7'),
    prompt: (await req.json()).prompt,
    experimental_telemetry: {
      isEnabled: true,
      metadata: { userId: 'user_123', plan: 'pro' },
    },
  })
  return result.toAIStreamResponse()
}
The metadata.userId lifts onto metadata.tags.userId in Voight and powers the dashboard’s per-user spend sub-tab.

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Library mode (@voightxyz/sdk)

For autonomous agents or library callers that don’t use either of the above SDKs, the library-mode client is provider-agnostic — call GLM however you like and emit a Voight event manually: 
import { Voight } from '@voightxyz/sdk'

const voight = new Voight({
  apiKey: process.env.VOIGHT_KEY,
  agentId: 'my-glm-bot',
})

const t0 = Date.now()
const res = await fetch('https://api.z.ai/api/paas/v4/chat/completions', {
  method: 'POST',
  headers: {
    'authorization': `Bearer ${process.env.ZHIPU_API_KEY}`,
    'content-type': 'application/json',
  },
  body: JSON.stringify({
    model: 'glm-4.5',
    messages: [{ role: 'user', content: 'Hello' }],
  }),
})
const data = await res.json()

voight.log({
  type: 'reasoning',
  model: 'glm-4.5',
  durationMs: Date.now() - t0,
  outcome: 'success',
  metadata: {
    source: 'custom',
    provider: 'zhipu',
    tokens: {
      input: data.usage.prompt_tokens,
      output: data.usage.completion_tokens,
    },
    responseText: data.choices[0].message.content,
  },
})
The cost matcher resolves glm-4.5 to the table entry below; the family tag zhipu keeps the event grouped with other GLM traffic in the dashboard.

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Pricing coverage

Verified against the official Z.ai pricing page (USD per 1M tokens).

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Text models

ModelInputOutput
GLM-5.1$1.40$4.40
GLM-5$1.00$3.20
GLM-5-Turbo$1.20$4.00
GLM-4.7$0.60$2.20
GLM-4.7-FlashX$0.07$0.40
GLM-4.7-FlashFreeFree
GLM-4.6$0.60$2.20
GLM-4.5$0.60$2.20
GLM-4.5-X$2.20$8.90
GLM-4.5-Air$0.20$1.10
GLM-4.5-AirX$1.10$4.50
GLM-4.5-FlashFreeFree
GLM-4-32B-0414-128K$0.10$0.10

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Vision models

ModelInputOutput
GLM-5V-Turbo$1.20$4.00
GLM-4.5V$0.60$1.80
GLM-4.6V$0.30$0.90
GLM-4.6V-FlashX$0.04$0.40
GLM-4.6V-FlashFreeFree
GLM-OCR$0.03$0.03
Longest-prefix lookup handles overlapping family names — e.g. an event tagged model: 'glm-4.5-airx-20251130' matches glm-4.5-airx (not glm-4.5-air or glm-4.5) and bills at the correct rate.

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Resources