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Official Verified ai models Safety 4/5

aisa-provider

Configure AIsa as a first-class model provider for OpenClaw, enabling production access to major Chinese AI models (Qwen, DeepSeek, Kimi K2.5, Doubao) through official partnerships with Alibaba Cloud, BytePlus, and Moonshot. Use this skill when the user wants to set up Chinese AI models, configure AIsa API access, compare pricing between AIsa and other providers (OpenRouter, Bailian), switch between Qwen/DeepSeek/Kimi models, or troubleshoot AIsa provider configuration in OpenClaw. Also use when the user mentions AISA_API_KEY, asks about Chinese LLM pricing, Kimi K2.5 setup, or needs help with Qwen Key Account setup.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/0xjordansg-yolo/openclaw-aisa-chinese-llm-models
Or

What This Skill Does

The AIsa provider skill for OpenClaw integrates AIsa as a first-class AI model provider, acting as a high-performance gateway to China's leading LLM ecosystem. Through direct partnerships with Alibaba Cloud, BytePlus, and Moonshot, this skill enables seamless production access to models like Qwen, DeepSeek, and Kimi K2.5. By utilizing AIsa, developers can access competitive pricing, often significantly lower than standard official rates, and leverage models optimized for the Chinese language and reasoning capabilities without managing fragmented API credentials across multiple Chinese cloud providers.

Installation

To install this skill, use the following command in your terminal: clawhub install openclaw/skills/skills/0xjordansg-yolo/openclaw-aisa-chinese-llm-models

Once installed, you can configure your credentials using any of these methods:

  1. Environment Variables: export AISA_API_KEY="your-key-here" (Recommended for immediate use).
  2. Interactive CLI: Run openclaw onboard --auth-choice aisa-api-key.
  3. Manual Config: Add the API details to your ~/.openclaw/openclaw.json file as documented in the internal configuration schema provided by the skill.

Use Cases

This skill is ideal for developers and enterprises who need reliable, low-latency access to the Chinese AI market. Specific use cases include:

  • Building applications that require deep cultural context or linguistic nuance in Simplified/Traditional Chinese.
  • Integrating reasoning-heavy models like DeepSeek V3.1 or Kimi K2.5 for complex task automation.
  • Reducing infrastructure costs for AI-powered agents by routing requests through AIsa's discounted API pricing.
  • Centralizing model management for mixed-model environments where you need to switch quickly between Qwen, DeepSeek, and other regional models within a single OpenClaw workflow.

Example Prompts

  1. "OpenClaw, please configure my AIsa provider using my new AISA_API_KEY so I can start using Qwen3 Max for my project."
  2. "Compare the input costs for DeepSeek V3.1 via AIsa versus my current configuration with Bailian to see if I should switch."
  3. "Set my default model to Kimi K2.5 and verify that my AIsa API credentials are correctly active for production requests."

Tips & Limitations

  • Pricing Reference: Always treat provided costs as reference data. AIsa pricing updates periodically; visit https://marketplace.aisa.one/pricing to verify current rates.
  • Authentication: Using the AISA_API_KEY environment variable is the most efficient way to manage authentication, especially in CI/CD pipelines.
  • Model Support: Ensure your specific model ID from the AIsa platform matches the list in your openclaw.json to avoid routing errors.
  • Latency: Because these models are hosted within Chinese data centers, you may notice different latency profiles compared to US-based models; this is expected behavior due to geographic routing.

Metadata

Stars4473
Views3
Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-0xjordansg-yolo-openclaw-aisa-chinese-llm-models": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#chinese-llm#qwen#deepseek#api-gateway#llm-provider
Safety Score: 4/5

Flags: external-api