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OpenClaw

Use Coding Plan with OpenClaw

OpenClaw is an open-source AI assistant platform that connects AI models through Web UI and TUI.

Install OpenClaw

  • Manual installation
  • Qwen Code guided installation
1

Install Node.js

Install or update Node.js (v22.0 or later).
2

Install OpenClaw

curl -fsSL https://openclaw.ai/install.sh | bash
3

Configure

After installation, configure OpenClaw following the on-screen prompts. Reference settings:
Configuration itemValue
Accept risk and continue?Yes
Onboarding modeQuickStart
Model/auth providerSkip for now
Model filterAll providers
Default modelUse default
Select channelSkip for now
Configure skills now?No
Enable hooks?Skip for now (space bar, then Enter)
How to hatch your bot?Hatch in TUI

Set up Coding Plan

  • Method 1: Edit configuration file using Web UI
  • Method 2: Edit configuration file using terminal
  • Method 3: Qwen Code guided
  1. Open the Web UI:
openclaw dashboard
  1. In the Web UI, select Config > RAW from the navigation pane on the left.
    • Copy the content below into the Raw JSON field. Replace YOUR_API_KEY with your Coding Plan API key.
{
  "models": {
    "mode": "merge",
    "providers": {
      "qwen-cloud": {
        "baseUrl": "https://coding-intl.dashscope.aliyuncs.com/v1",
        "apiKey": "YOUR_API_KEY",
        "api": "openai-completions",
        "models": [
          {
            "id": "qwen3.5-plus",
            "name": "qwen3.5-plus",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "qwen3-max-2026-01-23",
            "name": "qwen3-max-2026-01-23",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 262144,
            "maxTokens": 65536,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "qwen3-coder-next",
            "name": "qwen3-coder-next",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 262144,
            "maxTokens": 65536
          },
          {
            "id": "qwen3-coder-plus",
            "name": "qwen3-coder-plus",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 1000000,
            "maxTokens": 65536
          },
          {
            "id": "MiniMax-M2.5",
            "name": "MiniMax-M2.5",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 196608,
            "maxTokens": 32768
          },
          {
            "id": "glm-5",
            "name": "glm-5",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 202752,
            "maxTokens": 16384,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "glm-4.7",
            "name": "glm-4.7",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 202752,
            "maxTokens": 16384,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "kimi-k2.5",
            "name": "kimi-k2.5",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 262144,
            "maxTokens": 32768,
            "compat": {
              "thinkingFormat": "qwen"
            }
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "qwen-cloud/qwen3.5-plus"
      },
      "models": {
        "qwen-cloud/qwen3.5-plus": {},
        "qwen-cloud/qwen3-max-2026-01-23": {},
        "qwen-cloud/qwen3-coder-next": {},
        "qwen-cloud/qwen3-coder-plus": {},
        "qwen-cloud/MiniMax-M2.5": {},
        "qwen-cloud/glm-5": {},
        "qwen-cloud/glm-4.7": {},
        "qwen-cloud/kimi-k2.5": {}
      }
    }
  },
  "gateway": {
    "mode": "local"
  }
}
  1. Click Save in the top-right corner. Then click Update to apply the configuration.
    After saving, the API key displays as "__OPENCLAW_REDACTED__". This protects your key in the UI only. It does not affect actual API calls.

Use OpenClaw

  • Web UI
  • TUI
openclaw dashboard
Start a conversation in the Web UI.

Switch models

  • Switch models in the current session (temporary) In the TUI, use /model <model name> to switch models for this session. 
/model qwen3-coder-next
The interface confirms with "model set to qwen3-coder-next".
  • Change the default model (permanent) To use a specific model in every new session, update the agents.defaults.model.primary field. See Edit configuration file. 
{
    "agents": {
        "defaults": {
            "model": {
                "primary": "qwen-cloud/qwen3.5-plus"
            }
        }
    }
}

Learn more: Skills and ClawHub

A Skill is a modular knowledge package (defined in SKILL.md). Agents load Skills automatically based on user requests. Use the built-in find-skills Skill to discover and install new ones — for example, ask "Find a weather Skill for me." You can also search and install Skills from ClawHub using the command line: 
clawhub install <skill-slug>
To create a custom Skill, see the OpenClaw official docs.
OpenClaw | Qwen Cloud