Aliyun Bailian(百炼) for OpenClaw

---

name: aliyun-use

version: 0.1.0

description: "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."

metadata:

openclaw:

requires:

env:

- ALIYUN_BAILIAN_API_KEY

primaryEnv: ALIYUN_BAILIAN_API_KEY

os:

- linux

- darwin

- win32

---

# 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

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

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

Learn More