Aliyun Use

Aliyun Bailian(百炼) for LLM chat, and language translation. Use when you need to generate code, generate text with LLMs, or translate between languages.

Aliyun Bailian(百炼) for OpenClaw

Call Alibaba Cloud Bailian (百炼) LLM models via the DashScope API.

Setup

Get your API key from: https://bailian.console.aliyun.com/

Set the environment variable:

export ALIYUN_BAILIAN_API_KEY="your-api-key"
export ALIYUN_BAILIAN_API_HOST="https://coding.dashscope.aliyuncs.com/apps/anthropic"  # optional, default provided

CLI Commands

python -m scripts chat --model qwen3.5-plus --messages '[{"role": "user", "content": "Hello"}]'
python -m scripts translate --text "Hello" --target-lang zh
python -m scripts models

Commands Overview

Command	What it does
chat	General-purpose chat completion with Qwen, GLM, Kimi, MiniMax models
translate	Translate text between languages
models	List all available models

Chat

General-purpose chat completion via DashScope Anthropic API.

Usage

python -m scripts chat --model qwen3.5-plus --messages '[{"role": "user", "content": "Hello"}]'

Parameters

• --model (string, optional) — Model name. Default: qwen3.5-plus
• --messages (string, required) — JSON array of {role, content}. Roles: system, user, assistant
• --temperature (float, optional) — Sampling temperature 0-1. Default: 0.7
• --max-tokens (integer, optional) — Max tokens to generate. Default: 2048
• --stream (boolean, optional) — Enable streaming. Default: false

Available Models

Flagship: qwen3.5-plus, qwen3-max-2026-01-23

Coder: qwen3-coder-next, qwen3-coder-plus

Other: glm-5, glm-4.7, kimi-k2.5, MiniMax-M2.5

Translate

Translate text between languages using the LLM.

Usage

python -m scripts translate --text "Hello" --target-lang zh
python -m scripts translate --text "你好" --target-lang en --source-lang zh

Parameters

• --text (string, required) — Text to translate
• --target-lang (string, optional) — Target language code. Default: en
• --source-lang (string, optional) — Source language code. Default: auto

Supported Languages

en (English), zh (Chinese), ja (Japanese), ko (Korean), es (Spanish), fr (French), de (German), ru (Russian), ar (Arabic), pt (Portuguese), it (Italian), th (Thai), vi (Vietnamese), id (Indonesian)

Python Usage

from scripts import chat, translate

# Chat
result = chat(messages=[{"role": "user", "content": "Hello"}], model="qwen3.5-plus")

# Translate
result = translate(text="Hello", target_lang="zh")

Response Format

{ "success": true, "result": {...} }
{ "success": false, "error": "error message" }

Notes

• Default API host: https://coding.dashscope.aliyuncs.com/apps/anthropic (set via ALIYUN_BAILIAN_API_HOST)
• The API uses Anthropic-compatible format — messages are converted to Anthropic API format internally
• Coding Plan API key (sk-sp-xxx) is different from regular DashScope API key
• For reasoning tasks: try qwen3-max-2026-01-23 or kimi-k2.5
• For coding tasks: use qwen3-coder-next or qwen3-coder-plus

Learn More

• Full API documentation: references/API.md
• Available models: assets/models.json