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cn-llm

China LLM Gateway - Unified interface for Chinese LLMs including Qwen, DeepSeek, GLM, Baichuan. OpenAI compatible, one API Key for all models.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 cn-llm 技能。 若已安装,则直接安装 cn-llm 技能。

Overview

Skill Key
chaimengphp/openclaw-aisa-cn-llm
Author
chaimengphp
Source Repo
openclaw/skills
Version
-
Source Path
skills/chaimengphp/openclaw-aisa-cn-llm
Latest Commit SHA
44425a329eee78300e67b0b10bfe18f4aa60552a

Extracted Content

SKILL.md excerpt

# OpenClaw CN-LLM 🐉

**China LLM Unified Gateway. Powered by AIsa.**

One API Key to access all Chinese LLMs. OpenAI compatible interface.

Qwen, DeepSeek, GLM, Baichuan, Moonshot, and more - unified API access.

## 🔥 What You Can Do

### Intelligent Chat
```
"Use Qwen to answer Chinese questions, use DeepSeek for coding"
```

### Deep Reasoning
```
"Use DeepSeek-R1 for complex reasoning tasks"
```

### Code Generation
```
"Use DeepSeek-Coder to generate Python code with explanations"
```

### Long Text Processing
```
"Use Qwen-Long for ultra-long document summarization"
```

### Model Comparison
```
"Compare response quality between Qwen-Max and DeepSeek-V3"
```

## Supported Models

### Qwen (Alibaba)

| Model | Input Price | Output Price | Features |
|-----|---------|---------|------|
| qwen3-max | $1.37/M | $5.48/M | Most powerful general model |
| qwen3-max-2026-01-23 | $1.37/M | $5.48/M | Latest version |
| qwen3-coder-plus | $2.86/M | $28.60/M | Enhanced code generation |
| qwen3-coder-flash | $0.72/M | $3.60/M | Fast code generation |
| qwen3-coder-480b-a35b-instruct | $2.15/M | $8.60/M | 480B large model |
| qwen3-vl-plus | $0.43/M | $4.30/M | Vision-language model |
| qwen3-vl-flash | $0.86/M | $0.86/M | Fast vision model |
| qwen3-omni-flash | $4.00/M | $16.00/M | Multimodal model |
| qwen-vl-max | $0.23/M | $0.57/M | Vision-language |
| qwen-plus-2025-12-01 | $1.26/M | $12.60/M | Plus version |
| qwen-mt-flash | $0.168/M | $0.514/M | Fast machine translation |
| qwen-mt-lite | $0.13/M | $0.39/M | Lite machine translation |

### DeepSeek

| Model | Input Price | Output Price | Features |
|-----|---------|---------|------|
| deepseek-r1 | $2.00/M | $8.00/M | Reasoning model, supports Tools |
| deepseek-v3 | $1.00/M | $4.00/M | General chat, 671B parameters |
| deepseek-v3-0324 | $1.20/M | $4.80/M | V3 stable version |
| deepseek-v3.1 | $4.00/M | $12.00/M | Latest Terminus version |

> **Note**: Prices are in M (million tokens). Model availability may cha...

README excerpt

# OpenClaw CN-LLM 🐉

**China LLM Unified Gateway. Powered by AIsa.**

One API Key to access Qwen3 and DeepSeek series models.

## Quick Start

```bash
# Set API Key
export AISA_API_KEY="your-key"

# Qwen chat
python3 scripts/cn_llm_client.py chat --model qwen3-max --message "Hello"

# Qwen3 code generation
python3 scripts/cn_llm_client.py chat --model qwen3-coder-plus --message "Write a quicksort"

# DeepSeek-R1 reasoning
python3 scripts/cn_llm_client.py chat --model deepseek-r1 --message "Which is larger, 9.9 or 9.11?"

# DeepSeek-V3 chat
python3 scripts/cn_llm_client.py chat --model deepseek-v3 --message "Tell a story" --stream

# Model comparison
python3 scripts/cn_llm_client.py compare --models "qwen3-max,deepseek-v3" --message "What is AI"

# List models
python3 scripts/cn_llm_client.py models
```

## Supported Models

| Model Series | Available Models |
|---------|----------|
| Qwen3 General | qwen3-max, qwen3-max-2026-01-23 |
| Qwen3 Code | qwen3-coder-plus, qwen3-coder-flash, qwen3-coder-480b-a35b-instruct |
| Qwen3 Vision | qwen3-vl-plus, qwen3-vl-flash, qwen3-omni-flash |
| Qwen Other | qwen-vl-max, qwen-mt-flash, qwen-mt-lite |
| DeepSeek | deepseek-r1, deepseek-v3, deepseek-v3-0324, deepseek-v3.1 |

## OpenAI SDK Compatible

```python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AISA_API_KEY"],
    base_url="https://api.aisa.one/v1"
)

response = client.chat.completions.create(
    model="qwen3-max",  # or deepseek-v3, deepseek-r1, etc.
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
```

See [SKILL.md](SKILL.md) for detailed documentation.

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