Using the API

Replace OpenAI's base_url with the platform address and use your token as the api_key

Replace OpenAI's base_url with the platform address and use your platform-issued token as the api_key to start calling.

Playground

Playground is a built-in online testing tool. You can chat with models directly without writing any code — ideal for quickly verifying that your token works.

Click "Playground" in the left sidebar, or visit /console/playground directly

Playground page

Select the model you want to test from the left panel
Type a message in the input box at the bottom and click Send
The model's response appears in the conversation area on the right

Playground conversation example

Get the API Address

Visit the platform homepage
Find the API Base URL display area in the middle of the page
Click the copy button to copy the address to your clipboard

Homepage API address copy area

Use the copied address as base_url in your client or code, paired with your token.

Code Examples

Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxxxxxxxxxx",  # Your platform token
    base_url="https://your-platform.com/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Claude Native Format

curl https://your-platform.com/v1/messages \
  -H "x-api-key: sk-xxxxxxxx" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{"model": "claude-3-5-sonnet-20241022", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'

Gemini Native Format

curl "https://your-platform.com/v1beta/models/gemini-1.5-pro:generateContent?key=sk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"contents": [{"parts": [{"text": "Hello"}]}]}'

Supported Endpoints

Endpoint	Path	Description
Chat Completions	`POST /v1/chat/completions`	Conversational generation with streaming support
Text Completions	`POST /v1/completions`	Legacy completions endpoint
Embeddings	`POST /v1/embeddings`	Text vectorization
Image Generation	`POST /v1/images/generations`	Text-to-image
Image Editing	`POST /v1/images/edits`	Image editing
Speech-to-Text	`POST /v1/audio/transcriptions`	Whisper and others
Text-to-Speech	`POST /v1/audio/speech`	TTS
Rerank	`POST /v1/rerank`	Document reranking
Responses API	`POST /v1/responses`	OpenAI Responses format
Realtime	`GET /v1/realtime` (WebSocket)	OpenAI Realtime API
Models	`GET /v1/models`	List available models