Zhipu Compatible

Reuses the unified entry with model-based routing and stays compatible with the Zhipu official SDK: set base_url="https://www.silvamux.com/api/paas/v4" and you can migrate without code changes, using Zhipu official model names (e.g. glm-5).

POST/api/paas/v4/chat/completions

智谱兼容

复用统一入口按 model 选路。

Bearer API KeyUse the Authorization: Bearer sk_live_... header; x-api-key is also supported.

Confirm the model call name firstFirst filter models that support this endpoint format on the Models page, then open a model detail page to copy its call name. Your account's final availability also depends on organization permissions.

Request structure

The section below confirms the method, URL and authentication scheme. It is an HTTP structure snippet, not a standalone runnable example.

HTTP

POST https://www.silvamux.com/api/paas/v4/chat/completions
Authorization: Bearer $SILVAMUX_API_KEY
Content-Type: application/json

Request body

application/json · OpenAIChatRequest · Required

Field	Type	Required	Description
`max_tokens`	integer	No	—
`messages`	array<Message>	Yes	—
`messages.content`	string \| array<FreeFormObject>	Yes	—
`messages.role`	string (system \| user \| assistant \| tool)	Yes	—
`model`	string	Yes	SilvaMux 模型 id 或 alias。
`stream`	boolean	No	Default: false
`temperature`	number	No	—
`tools`	array<FreeFormObject>	No	—

Response

`200`OpenAI Chat JSON 或 SSE 响应。

application/json · OpenAIChatResponse

Field	Type	Required	Description
`choices`	array<FreeFormObject>	Yes	—
`id`	string	Yes	—
`model`	string	No	—
`object`	string	No	—
`usage`	FreeFormObject	No	—

`default`OpenAI 兼容错误。

application/json · OpenAIError

Field	Type	Required	Description
`error`	object	Yes	—
`error.code`	string \| integer	No	—
`error.message`	string	Yes	—
`error.type`	string	No	—

Examples

The Zhipu entry's request format is OpenAI Chat compatible, so you can also point the OpenAI SDK at it directly (the Zhipu official SDK works too after configuring base_url):

curl https://www.silvamux.com/api/paas/v4/chat/completions \
  -H "Authorization: Bearer $SILVAMUX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# pip install openai
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["SILVAMUX_API_KEY"],
    base_url="https://www.silvamux.com/api/paas/v4",
)

response = client.chat.completions.create(
    model="glm-5",
    messages=[{"role": "user", "content": "Hello"}],
)

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

// npm install openai
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.SILVAMUX_API_KEY,
  baseURL: "https://www.silvamux.com/api/paas/v4",
});

const response = await client.chat.completions.create({
  model: "glm-5",
  messages: [{ role: "user", content: "Hello" }],
});

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

// Standard library only
package main

import (
    "bytes"
    "fmt"
    "io"
    "net/http"
    "os"
)

func main() {
    payload := []byte(`{
        "model": "glm-5",
        "messages": [{"role": "user", "content": "Hello"}]
    }`)

    req, err := http.NewRequest("POST", "https://www.silvamux.com/api/paas/v4/chat/completions", bytes.NewReader(payload))
    if err != nil {
        panic(err)
    }
    req.Header.Set("Authorization", "Bearer "+os.Getenv("SILVAMUX_API_KEY"))
    req.Header.Set("Content-Type", "application/json")

    resp, err := http.DefaultClient.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}