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🦀 ClawHub

Aliyun Use

by @cnlangzi

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.

Versionv0.1.0
Downloads805
#translation#legal
TERMINAL
clawhub install aliyun-use

📖 About This Skill

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

  • --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

    • 💡 Examples

    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

    ⚙️ Configuration

    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

    📋 Tips & Best Practices

  • 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