GLM 4.5 Vision

z-ai:glm-4.5v

Added August 11, 2025

Usage

import OpenAI from "openai";

const client = new OpenAI({
    baseURL: "https://api.tributary.cc/openai/v1",
    apiKey: "<TRIBUTARY_API_KEY>",
});

const completion = await client.chat.completions.create({
    model: "z-ai:glm-4.5v",
    messages: [
        { role: "user", content: "Hello!" }
    ],
});

console.log(completion.choices[0].message.content);

const response = await fetch(
    "https://api.tributary.cc/openai/v1/chat/completions",
    {
        method: "POST",
        headers: {
            "Authorization": "Bearer <TRIBUTARY_API_KEY>",
            "Content-Type": "application/json",
        },
        body: JSON.stringify({
            model: "z-ai:glm-4.5v",
            messages: [
                { role: "user", content: "Hello!" }
            ],
        }),
    }
);

const data = await response.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://api.tributary.cc/openai/v1",
    api_key="<TRIBUTARY_API_KEY>",
)

completion = client.chat.completions.create(
    model="z-ai:glm-4.5v",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(completion.choices[0].message.content)

import requests

response = requests.post(
    "https://api.tributary.cc/openai/v1/chat/completions",
    headers={
        "Authorization": "Bearer <TRIBUTARY_API_KEY>",
        "Content-Type": "application/json",
    },
    json={
        "model": "z-ai:glm-4.5v",
        "messages": [
            {"role": "user", "content": "Hello!"}
        ]
    }
)

print(response.json()["choices"][0]["message"]["content"])

curl https://api.tributary.cc/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TRIBUTARY_API_KEY" \
  -d '{
    "model": "z-ai:glm-4.5v",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Providers

z-ai