cn-llm

Name: cn-llm
Availability: InStock
Author: AIsa

Route chat, coding, and reasoning requests to Chinese LLMs via an OpenAI-compatible AIsa API.

23|6|Updated Jan 30, 2026

Search Tags:#model routing #OpenAI-compatible #cn-llm #unified gateway #Chinese LLMs #AIsa

Ready to run

npx skills add https://github.com/AIsa-team/OpenClaw-Skills --skill cn-llm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cn-llm
Source: https://github.com/AIsa-team/OpenClaw-Skills/tree/main/cn-llm
Command: npx skills add https://github.com/AIsa-team/OpenClaw-Skills --skill cn-llm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The CN-LLM Skill provides a single, unified interface to access multiple Chinese language models (Qwen, DeepSeek, GLM, Baichuan, and Moonshot) via the AIsa API, eliminating the need to manage separate endpoints and keys for each provider.

Core Features & Use Cases

Unified API access to multiple Chinese LLMs with one API key.
OpenAI-compatible chat interface for seamless integration with existing tooling.
Quick routing for tasks like chat, coding assistance, and reasoning across models.
Use Case: Build a Chinese-language assistant that can switch between Qwen and DeepSeek to compare responses.

Quick Start

Set your API key: export AISA_API_KEY="your-key"
Call the Python client to run a sample chat:
python3 scripts/cn_llm_client.py chat --model qwen3-max --message "Hello"

Frequently Asked Questions about cn-llm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I access multiple Chinese LLMs like Qwen and DeepSeek through a single API?▼

You can access multiple Chinese LLMs like Qwen and DeepSeek through a single API by using a unified gateway that routes requests via one API key, presenting an OpenAI-compatible interface for chat, coding, and reasoning tasks.

Does this unified gateway for Chinese language models provide an OpenAI-compatible interface?▼

Yes, the unified gateway for Chinese language models provides an OpenAI-compatible interface, allowing seamless integration with existing tooling to route chat and reasoning requests to models like GLM and Baichuan.

What do I need to set up before routing requests to Chinese language models?▼

Before routing requests to Chinese language models, you need to set the AISA_API_KEY environment variable with your API key, which authenticates your access to the unified AIsa-based API gateway.

Can I switch between Moonshot and Qwen models to compare responses in one application?▼

Yes, you can switch between Moonshot and Qwen models to compare responses in one application by calling the Python client and specifying the desired model name in your chat request parameters.

What is the best way to manage multiple API keys for different Chinese LLM providers?▼

The best way to manage multiple API keys for different Chinese LLM providers is to use a unified gateway that eliminates separate endpoints, requiring only one AIsa API key for routing to Qwen, DeepSeek, GLM, and Moonshot.

How does model routing work for coding and reasoning tasks across different Chinese LLMs?▼

Model routing for coding and reasoning tasks works by sending your chat message through a Python client script that forwards the request to the specified Chinese LLM via the AIsa API, returning the model's generated response.