阿里百炼
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.
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:
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 viaALIYUN_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-2026-01-23orkimi-k2.5 - For coding tasks: use
qwen3-coder-nextorqwen3-coder-plus
Learn More
- Full API documentation:
references/API.md - Available models:
assets/models.json
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