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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.

View Chinese version with editor review

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/cnlangzi/aliyun-use

必需环境变量

ALIYUN_BAILIAN_API_KEY

文档

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:

bash
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

bash
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

CommandWhat it does
chatGeneral-purpose chat completion with Qwen, GLM, Kimi, MiniMax models
translateTranslate text between languages
modelsList all available models

Chat

General-purpose chat completion via DashScope Anthropic API.

Usage

bash
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

bash
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

python
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

json
{ "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