Aliyun Use

该 Skill 以 Python 脚本封装阿里云百炼 DashScope 接口（Anthropic 兼容格式），提供 chat、translate、models 三个子命令，可用 Qwen、GLM、Kimi、MiniMax 等模型做文本生成、代码生成与多语言翻译，需配置 ALIYUN_BAILIAN_API_KEY 环境变量，宿主元数据指向 OpenClaw。

cnlangzi

热度 44.76

最近更新 2026-05-11 17:33:58

分类：效率依赖：代码执行 / 第三方 API / 内部调用大模型应用场景：翻译 / 代码生成 / 摘要总结

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add aliyun-use

Metadata

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