Access Ling on ZenMux

If you already use ZenMux to uniformly manage multiple large models (authentication, quota, audit, grayscale), you can add Ant Ling as an upstream provider; the application side still uses OpenAI SDK (or OpenAI compatible HTTP) calling method.

This article is divided into two parts:

Platform side (ZenMux): Configure Ant Ling as upstream in ZenMux, and create an external access credential for the business
Business side (Application): Point base_url to ZenMux, call ling / ming respectively

What You Need to Prepare

ZenMux gateway’s external address (example: https://zenmux.ai/api/v1)
API Key issued by ZenMux for the business (example: ZENMUX_API_KEY)

Call Ling

OpenAI：Python


from openai import OpenAI
 
client = OpenAI(
  base_url="https://zenmux.ai/api/v1",
  api_key="<ZENMUX_API_KEY>",
)
 
# Chat Completion
completion = client.chat.completions.create(
  model="inclusionai/ling-3.2-flash",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

OpenAI：cURL


# Chat Completion
curl https://zenmux.ai/api/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ZENMUX_API_KEY" \
-d '{
  "model": "inclusionai/ling-3.2-flash",
  "messages": [ 
    { 
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
}'

# Responses API
curl https://zenmux.ai/api/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ZENMUX_API_KEY" \
-d '{
  "model": "inclusionai/ling-3.2-flash",
  "input": "What is the meaning of life?"
}'

Anthropic：Python


import anthropic
client = anthropic.Anthropic(
    api_key="<ZENMUX_API_KEY>", 
    base_url="https://zenmux.ai/api/anthropic"
)
message = client.messages.create(
    model="inclusionai/ling-3.2-flash",
    max_tokens=1024,
    messages=[
      {"role": "user", "content": "Hello, Claude"}
    ]
)
print(message.content)

Anthropic：cURL


curl https://zenmux.ai/api/anthropic/v1/messages \
  --header "x-api-key: $ZENMUX_API_KEY" \
  --header "anthropic-version: 2023-06-01" \
  --header "content-type: application/json" \
  -d '{ 
    "model": "inclusionai/ling-3.2-flash", 
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Hello, world"}
    ]
  }'

FAQ

What model name should I fill in?

Use the model ID displayed on the ZenMux platform , e.g., inclusionai/ling-3.2-flash.

How to troubleshoot 401/403?

Confirm you are using ZenMux’s key (not Ant Ling’s key)
Confirm ZenMux’s key has been authorized to access the corresponding route/model
On platform side, confirm ZenMux’s upstream key for accessing Ant Ling is still valid and has sufficient quota

Was this page helpful?