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OpenClaw

Open-source AI assistant platform

OpenClaw lets you interact with AI through various messaging channels. You can configure it to access AI models from QwenCloud. It supports three access methods: pay-as-you-go, Token Plan (Personal Edition), and Token Plan Team Edition.

Install OpenClaw

OpenClaw requires Node.js 24.16+ or 26.1+. To check your version: 
node --version
If Node.js is not installed or does not meet the requirement, visit the Node.js website to download and install it.
  • macOS / Linux
  • Windows
We recommend using the official installation script:
curl -fsSL https://openclaw.ai/install.sh | bash
Or install globally via npm:
npm install -g openclaw@latest
After first-time installation, OpenClaw starts the guided setup. In 2026.7.1 and later, run openclaw onboard for the guided setup or openclaw onboard --classic for the classic wizard. In 2026.6.35 and earlier, openclaw onboard opens the classic wizard.
The following are the key choices in the setup wizard. Steps vary by version; follow the on-screen prompts. This document connects through the configuration file, so select Skip for now for the model provider.
  • Security prompt: if shown, select Yes.
  • Startup mode: select Quick start / QuickStart.
  • What to create: select One agent (if shown).
  • Model provider: select Skip for now (this document uses the configuration file; do not select a provider here).
  • Default model: if shown, select Keep current.
  • Channels, skills, hooks: skip or configure later as needed.
After the wizard, edit ~/.openclaw/openclaw.json as described in Configure access credentials to connect to QwenCloud.

Configure access credentials

OpenClaw provides two configuration methods: terminal (recommended) or Web UI.
The example disables gateway authentication (auth.mode: none), suitable only for single-machine local use. For shared or remote access, run openclaw doctor --fix to enable token authentication.
  • Method 1: Terminal
  • Method 2: Web UI
Edit ~/.openclaw/openclaw.json and add the configuration for your chosen plan.

Token Plan (Personal Edition)

Replace YOUR_API_KEY with the Token Plan (Personal Edition) dedicated API Key. For available models, see supported Token Plan (Personal Edition) models.
ParameterValue
API KeyToken Plan (Personal Edition) dedicated API Key
Base URLhttps://token-plan.maas.qwencloudapi.com/compatible-mode/v1
Available modelsAll models included in the Token Plan (Personal Edition)
The configuration file is located at ~/.openclaw/openclaw.json. OpenClaw automatically reads this file on startup.
The example disables gateway authentication (auth.mode: none), suitable only for single-machine local use. For shared or remote access, run openclaw doctor --fix to enable token authentication.
For a new configuration: Copy the following content into the configuration file. Replace YOUR_API_KEY with your API Key for the Token Plan (Personal Edition). For an existing configuration: To preserve your current settings, do not replace the entire file content. See How to safely modify an existing configuration. 
{
  "models": {
    "mode": "merge",
    "providers": {
      "qwencloud-token-plan": {
        "baseUrl": "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1",
        "apiKey": "YOUR_API_KEY",
        "api": "anthropic-messages",
        "models": [
          {
            "id": "auto",
            "name": "auto",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 393216,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.8-max",
            "name": "qwen3.8-max",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 983616,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "qwen3.8-flash",
            "name": "qwen3.8-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 983616,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "qwen3.7-max",
            "name": "qwen3.7-max",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "qwen3.7-plus",
            "name": "qwen3.7-plus",
            "reasoning": false,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "qwen3.6-flash",
            "name": "qwen3.6-flash",
            "reasoning": false,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 32768,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "glm-5.3",
            "name": "glm-5.3",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "glm-5.2",
            "name": "glm-5.2",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "compat": { "thinkingFormat": "openai" }
          },
          {
            "id": "deepseek-v4-pro",
            "name": "deepseek-v4-pro",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 163840,
            "maxTokens": 32768,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-pro-0813",
            "name": "deepseek-v4-pro-0813",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 163840,
            "maxTokens": 32768,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash",
            "name": "deepseek-v4.1-flash",
            "reasoning": false,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 393216,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash-1017",
            "name": "deepseek-v4.1-flash-1017",
            "reasoning": false,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 393216,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "qwencloud-token-plan/auto"
      },
      "models": {
        "qwencloud-token-plan/auto": {},
        "qwencloud-token-plan/qwen3.8-max": {},
        "qwencloud-token-plan/qwen3.8-flash": {},
        "qwencloud-token-plan/qwen3.7-max": {},
        "qwencloud-token-plan/qwen3.7-plus": {},
        "qwencloud-token-plan/qwen3.6-flash": {},
        "qwencloud-token-plan/glm-5.3": {},
        "qwencloud-token-plan/glm-5.2": {},
        "qwencloud-token-plan/deepseek-v4-pro": {},
        "qwencloud-token-plan/deepseek-v4-pro-0813": {},
        "qwencloud-token-plan/deepseek-v4.1-flash": {},
        "qwencloud-token-plan/deepseek-v4.1-flash-1017": {}
      }
    }
  },
  "gateway": {
    "mode": "local",
    "auth": { "mode": "none" }
  }
}
qwen3.8-max thinking mode:
  • thinking: Supports both enabled and disabled (hybrid thinking mode).
  • temperature: Defaults to 0.6 in thinking mode. Values below 0.6 are automatically adjusted to 0.6.
  • reasoning_effort: Controls reasoning depth. Options: xhigh, medium, low. Default: xhigh.

Token Plan Team Edition

Replace YOUR_API_KEY with the Token Plan Team Edition dedicated API Key. For available models, see Token Plan Team Edition supported models.
ParameterValue
API KeyToken Plan Team Edition dedicated API Key
Base URLhttps://token-plan.maas.qwencloudapi.com/apps/anthropic/v1
Available modelsToken Plan Team Edition supported models
"models": {
  "mode": "merge",
  "providers": {
    "qwencloud-token-plan": {
      "baseUrl": "https://token-plan.maas.qwencloudapi.com/apps/anthropic/v1",
      "apiKey": "YOUR_API_KEY",
      "api": "anthropic-messages",
      "models": [
        {
          "id": "auto",
          "name": "auto",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 1000000,
          "maxTokens": 393216,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "qwen3.8-max",
          "name": "qwen3.8-max",
          "reasoning": true,
          "input": ["text", "image"],
          "contextWindow": 983616,
          "maxTokens": 131072,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "qwen3.7-max",
          "name": "qwen3.7-max",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 1000000,
          "maxTokens": 65536,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "qwen3.7-plus",
          "name": "qwen3.7-plus",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 65536,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "qwen3.6-plus",
          "name": "qwen3.6-plus",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 65536,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "qwen3.6-flash",
          "name": "qwen3.6-flash",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 32768,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "deepseek-v4-pro",
          "name": "deepseek-v4-pro",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 163840,
          "maxTokens": 32768,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "deepseek-v4-pro-0813",
          "name": "deepseek-v4-pro-0813",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 163840,
          "maxTokens": 32768,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "deepseek-v4-flash-0731",
          "name": "deepseek-v4-flash-0731",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 1000000,
          "maxTokens": 393216,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "deepseek-v4.1-flash",
          "name": "deepseek-v4.1-flash",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 393216,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "deepseek-v4.1-flash-1017",
          "name": "deepseek-v4.1-flash-1017",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 393216,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "kimi-k2.7-code",
          "name": "kimi-k2.7-code",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 262144,
          "maxTokens": 32768,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "kimi-k2.6",
          "name": "kimi-k2.6",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 262144,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "kimi-k2.5",
          "name": "kimi-k2.5",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 262144,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "glm-5.3",
          "name": "glm-5.3",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 1000000,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "glm-5.2",
          "name": "glm-5.2",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 1000000,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "glm-5.1",
          "name": "glm-5.1",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 202752,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "glm-5",
          "name": "glm-5",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 202752,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "MiniMax-M2.5",
          "name": "MiniMax-M2.5",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 204800,
          "maxTokens": 131072,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        }
      ]
    }
  }
},
"agents": {
  "defaults": {
    "model": {
      "primary": "qwencloud-token-plan/auto"
    },
    "models": {
      "qwencloud-token-plan/auto": {},
      "qwencloud-token-plan/qwen3.8-max": {},
      "qwencloud-token-plan/qwen3.8-flash": {},
      "qwencloud-token-plan/qwen3.7-max": {},
      "qwencloud-token-plan/qwen3.7-plus": {},
      "qwencloud-token-plan/qwen3.6-plus": {},
      "qwencloud-token-plan/qwen3.6-flash": {},
      "qwencloud-token-plan/deepseek-v4-pro": {},
      "qwencloud-token-plan/deepseek-v4-pro-0813": {},
      "qwencloud-token-plan/deepseek-v4-flash-0731": {},
      "qwencloud-token-plan/deepseek-v4.1-flash": {},
      "qwencloud-token-plan/deepseek-v4.1-flash-1017": {},
      "qwencloud-token-plan/kimi-k2.7-code": {},
      "qwencloud-token-plan/kimi-k2.6": {},
      "qwencloud-token-plan/kimi-k2.5": {},
      "qwencloud-token-plan/glm-5.3": {},
      "qwencloud-token-plan/glm-5.2": {},
      "qwencloud-token-plan/glm-5.1": {},
      "qwencloud-token-plan/glm-5": {},
      "qwencloud-token-plan/MiniMax-M2.5": {}
    }
  }
},
To add more models, add model definitions in providers.qwencloud-token-plan.models, and add agents.defaults.models entries in "qwencloud-token-plan/model-ID": {}.
qwen3.8-max thinking mode:
  • thinking: Supports both enabled and disabled (hybrid thinking mode).
  • temperature: Defaults to 0.6 in thinking mode. Values below 0.6 are automatically adjusted to 0.6.
  • reasoning_effort: Controls reasoning depth. Options: xhigh, medium, low. Default: xhigh.

Pay-as-you-go

Replace YOUR_API_KEY with your QwenCloud API Key. For available models, see supported models. Audio and video models cannot be called through OpenClaw.
ParameterValue
API KeyYour QwenCloud API Key
Base URLhttps://ap-southeast-1.maas.qwencloudapi.com/apps/anthropic/v1
Available modelsSupported models, excluding audio and video models
The following uses the Singapore (ap-southeast-1) endpoint. For another region, replace ap-southeast-1 and use an API key from that region. See Regions and endpoints. 
"models": {
  "mode": "merge",
  "providers": {
    "qwencloud": {
      "baseUrl": "https://ap-southeast-1.maas.qwencloudapi.com/apps/anthropic/v1",
      "apiKey": "YOUR_API_KEY",
      "api": "anthropic-messages",
      "models": [
        {
          "id": "qwen3.7-plus",
          "name": "qwen3.7-plus",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 65536,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "qwen3.6-plus",
          "name": "qwen3.6-plus",
          "reasoning": false,
          "input": ["text", "image"],
          "contextWindow": 1000000,
          "maxTokens": 65536,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "MiniMax-M2.5",
          "name": "MiniMax-M2.5",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 204800,
          "maxTokens": 131072,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
        },
        {
          "id": "glm-5",
          "name": "glm-5",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 202752,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "deepseek-v4.1-flash",
          "name": "deepseek-v4.1-flash",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 163840,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        },
        {
          "id": "deepseek-v4.1-flash-1017",
          "name": "deepseek-v4.1-flash-1017",
          "reasoning": false,
          "input": ["text"],
          "contextWindow": 163840,
          "maxTokens": 16384,
          "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "compat": { "thinkingFormat": "openai" }
        }
      ]
    }
  }
},
"agents": {
  "defaults": {
    "model": {
      "primary": "qwencloud/qwen3.7-plus"
    },
    "models": {
      "qwencloud/qwen3.7-plus": {},
      "qwencloud/qwen3.6-plus": {},
      "qwencloud/MiniMax-M2.5": {},
      "qwencloud/glm-5": {},
      "qwencloud/deepseek-v4.1-flash": {},
      "qwencloud/deepseek-v4.1-flash-1017": {}
    }
  }
},

Connect to message channels

WhatsApp

Step 1: Install the WhatsApp plugin

The WhatsApp channel is connected via a plugin. Run the following command to install it: 
openclaw plugins install @openclaw/whatsapp

Step 2: Configure the WhatsApp channel

Enter the following prompt in your OpenClaw chat. OpenClaw will ask for your phone number in E.164 format (a + sign followed by the country code and number), then automatically add the number to the configuration and complete the setup. 
Please help me configure the WhatsApp channel. First, ask for my phone number, and then automatically fill it into the allowFrom and groupAllowFrom fields in the following configuration to complete the setup.
{
  "channels": {
    "whatsapp": {
      "dmPolicy": "pairing",
      "allowFrom": ["<phone_number>"],
      "groupPolicy": "allowlist",
      "groupAllowFrom": ["<phone_number>"]
    }
  }
}
We recommend using a separate phone number for the WhatsApp channel to prevent the bot from responding to your daily chats. If you use your personal phone number, you can enter a command in your OpenClaw chat to enable selfChatMode. The bot will then respond only in your "Message yourself" chat, leaving other conversations unaffected.
  1. Start the WhatsApp linking process. The terminal displays a QR code.
openclaw channels login --channel whatsapp
  1. Open WhatsApp on your phone and scan the QR code in the terminal to link your account.
  2. Restart the gateway.
openclaw gateway restart

Step 4: Test

  1. Check the WhatsApp channel status:
openclaw status
In the Channels section, WhatsApp should be ON with a status of OK. 2. In WhatsApp, send a message to yourself to verify that the bot responds correctly.

Telegram

  1. Create a bot usingBotFather Send the /newbot command, follow the prompts to enter a bot name and username (the username must end with bot), and copy and save the returned bot token (format: 123456789:ABCdefGHIjklMNOpqrsTUVwxyz).
  2. In your OpenClaw chat, enter the following prompt and replace xxxx with your actual bot token. OpenClaw will automatically apply the configuration. 
Please help me configure Telegram with the following settings. My bot token is xxxx.
{
  "channels": {
    "telegram": {
      "enabled": true,
      "botToken": "xxxx",
      "dmPolicy": "pairing"
    }
  }
}
  1. After the configuration is complete, restart the gateway.
openclaw gateway restart
  1. In Telegram, send a message to your bot. When you send your first message, you will receive a pairing code.
  2. In your terminal, run the following command, replacing xxx with the actual pairing code:
openclaw pairing approve telegram xxx

Discord

Step 1: Create a Discord application and bot

  1. Create a Discord application Go to the Discord Developer Portal, click New Application, enter an application name, and then click Create.
  2. Create a bot and enable permissions
    1. In the left navigation pane, click Bot and set a username for the bot.
    2. On the Bot page, scroll down to Privileged Gateway Intents and enable the following intents:
      • Message Content Intent
      • Server Members Intent
      • Presence Intent
      When finished, click Save Changes.
  3. Get the bot token At the top of the Bot page, click Reset Token to generate a token. This token is displayed only once, so copy it and store it in a secure location immediately.
  4. Add the bot to a server
    1. In the left navigation pane, click OAuth2 and scroll down to OAuth2 URL Generator.
    2. Under Scopes, select the bot and applications.commands checkboxes.
    3. In the Bot Permissions section that appears, select the following permissions:
      • View Channels
      • Send Messages
      • Read Message History
      • Embed Links
      • Attach Files
    4. Copy the URL generated at the bottom of the page, open it in your browser, select the target server, and click Continue to add the bot.

Step 2: Configure Discord in OpenClaw

  1. On the machine where OpenClaw is running, set the bot token as an environment variable.
export DISCORD_BOT_TOKEN="YOUR_BOT_TOKEN"
  1. Complete the Discord configuration:
openclaw config set channels.discord.token --ref-provider default --ref-source env --ref-id DISCORD_BOT_TOKEN
openclaw config set channels.discord.enabled true --strict-json
  1. Restart the gateway to apply the configuration.
openclaw gateway restart

Step 3: Pair and test

  1. In Discord, send a direct message to the bot. When you send your first message, you will receive a pairing code.
  2. In your terminal, run the following command to complete the pairing, replacing xxx with the actual pairing code:
openclaw pairing approve discord xxx
The pairing code is valid for one hour. If it expires, you must send another message to get a new one.
  1. Check the Discord channel status:
openclaw status
In the Channels section, Discord should be ON with a status of OK. 4. Send a message in Discord to test the connection.

Common commands

CommandDescriptionExample
/helpDisplay available commands/help
/statusView current model, session, and gateway status/status
/model <model_name>Switch the model for the current session/model qwen3.7-max
/newStart a new session/new
/compactCompress conversation history to free up context window/compact
/think <level>Set thinking (reasoning) depth: off, low, medium, high/think high
/skillsDisplay all available Skills/skills

Use cases

Use case 1: Automate X (Twitter)

You can use OpenClaw to automate your X (Twitter) account, including posting, replying, searching, and browsing your timeline.
  1. Install twitter-cli:
uv tool install twitter-cli
  1. Enter the following command in an OpenClaw dialog to automatically install the Skill.
Install this skill: https://github.com/public-clis/twitter-cli
  1. Restart the gateway to activate the Skill.
openclaw gateway restart
  1. Verify the installation:
openclaw skills list
  1. twitter-cli uses browser cookies for authentication. Ensure that you are logged in to x.com in a supported browser, such as Chrome, Edge, Firefox, Arc, or Brave. twitter-cli automatically retrieves the cookies. Alternatively, you can manually set the authentication information using environment variables: 
export TWITTER_AUTH_TOKEN="your_auth_token"
export TWITTER_CT0="your_ct0_token"
To get the cookies, open x.com in your browser, open developer tools, switch to the Application panel, and in the cookies section, find the values for auth_token and ct0.
Enter Check Sam Altman's recent tweets, summarize the key points, and then help me post a tweet with my thoughts in an OpenClaw dialog. OpenClaw automatically fetches the feed, analyzes the content, and publishes the post.

Use case 2: Analyze and download YouTube videos

You can use OpenClaw to search for YouTube videos, extract video information, and download videos. It supports searching by keyword, sorting by date, and bulk-fetching video metadata.
  1. Install yt-dlp:
pip install yt-dlp
  1. Verify the installation:
yt-dlp --version
  1. (Optional) Configure cookie authentication. This is required to access age-restricted, members-only, or private videos. Ensure that you are logged in to youtube.com in your browser, and then enter the following in an OpenClaw dialog:
I need to configure YouTube cookie authentication. Please use yt-dlp to extract YouTube cookies from my browser.
After installation, you can use this feature directly in an OpenClaw dialog. OpenClaw automatically runs the yt-dlp command to perform video-related operations.
Enter Summarize the main points of this video: https://www.youtube.com/watch?v=XRgGFQ0EgM0 in an OpenClaw dialog. OpenClaw retrieves the video information and generates a summary.
Enter Download this video: https://www.youtube.com/watch?v=XRgGFQ0EgM0 in an OpenClaw dialog. OpenClaw runs yt-dlp to download the video to your local machine.

Use case 3: Schedule daily AI news delivery

You can use OpenClaw's cron feature to automatically fetch the latest AI news and push it to WhatsApp daily.
  1. In your terminal:
openclaw cron add \
  --name "ai-daily-news" \
  --cron "0 9 * * *" \
  --tz "UTC" \
  --message "Please visit https://techcrunch.com/category/artificial-intelligence/ to get today's AI news. Summarize the top 10 most important AI stories in a concise list format, each with a title and a one-sentence summary in English." \
  --channel whatsapp \
  --to "<your_phone_number>" \
  --announce
Parameters:

Parameter

Description

--name

The task name.

--cron

The cron expression. "0 9 * * *" means the task runs at 9:00 AM every day.

--tz

The time zone. Set to "UTC" for Coordinated Universal Time. You can replace this with your local time zone, such as "America/New_York" or "Europe/London".

--message

The prompt sent to the agent, which specifies what content to fetch and how to summarize it.

--channel

The push channel. Set to whatsapp.

--announce

Pushes the task's output to the specified recipient.

--to

The recipient's WhatsApp phone number in E.164 format, which includes a plus sign, country code, and phone number.

On success, the command returns a JSON object containing the task ID and the next scheduled execution time. 2. After you create the task, you can manually trigger it once to verify that it works.
  1. List all tasks to get the task ID:
openclaw cron list
  1. Manually trigger the task:
openclaw cron run <task_ID> --timeout 120000
  1. Check the execution result:
openclaw cron runs --id <task_ID>
If the output shows "status": "ok" and "delivered": true, the news has been successfully delivered to WhatsApp.

Use case 4: Stock market analysis

You can use OpenClaw to analyze stock trends and receive technical analysis and investment suggestions.
AI-generated content is for reference only and does not constitute actual investment advice or a basis for decision-making.
  1. Install the Skill. Enter the following instruction in an OpenClaw dialog. OpenClaw will automatically complete the installation. 
Install the manus-stock-analysis skill
  1. Restart the gateway to activate the Skill.
openclaw gateway restart
Verify the installation:
openclaw skills list
  1. In an OpenClaw dialog, ask stock-related questions, such as Analyze NVDA stock.

Learn more

Skill

Skills are extensible modules that provide new capabilities. The agent automatically matches and loads the appropriate Skill based on the user's request. OpenClaw allows you to view and enable built-in Skills, install community Skills from ClawHub, or create custom Skills.

Viewing existing skills

  1. View your installed Skills and their status:
# List installed Skills
openclaw skills list

# Check Skill status (enabled, disabled, missing dependencies, etc.)
openclaw skills check

# View detailed information for a specific Skill
openclaw skills info <skill-name>
  1. Built-in Skills are disabled by default. To enable them, you must add them to the skills.allowBundled allowlist in ~/.openclaw/openclaw.json. OpenClaw loads only the built-in Skills listed in this array.
{
  "skills": {
    "allowBundled": [
      "github",
      "weather",
      "summarize",
      "coding-agent",
      "clawhub",
      "nano-pdf",
      "google-web-search",
      "image-lab"
    ]
  }
}
Some built-in Skills require a third-party API key to function. Configure these keys in the skills.entries field of ~/.openclaw/openclaw.json. For details, refer to the Skills Configuration documentation.

Finding more skills

You can find and install more Skills using one of the following methods.
  1. Search and install from ClawHub ClawHub offers over 3,000 community Skills. You can browse them on the website or search for them from the command line. 
# Search by keyword
npx clawhub search [keyword]

# Browse recently updated Skills
npx clawhub explore
After you find a suitable Skill, run the following command to install it. Then, restart the gateway to apply the Skill. 
npx clawhub install <skill-name>
  1. Ask OpenClaw directly Describe your needs directly in the chat, for example, Help me find a Skill that can check the weather. OpenClaw will automatically search for and install a matching Skill.

Creating a custom skill

  1. Create a directory for your Skill.
mkdir -p ~/.openclaw/workspace/skills/my-custom-skill
  1. In this directory, create the SKILL.md file. The file consists of two parts: YAML front matter and Markdown instructions. The name and description fields are required. The Agent uses the description to determine whether to load the Skill. Ensure that the description is accurate.
---
name: my-custom-skill
description: Short description
---

# My Custom Skill

When a user requests XXX, do the following:

1. Use the bash tool to run the xxx command
2. Parse the output
3. Return the result to the user as a table
  1. Restart the gateway to apply the Skill.
# Restart the gateway
openclaw gateway restart

# Check if the Skill is active
openclaw skills list
For more information on Skill configuration, see the OpenClaw Official Documentation.

FAQ

To start the OpenClaw terminal command line, enter openclaw tui in your terminal. Then, enter /model to view the model list. Press Enter to select a model and Esc to exit the list.
Possible causes include:
  1. The API key might be invalid, expired, empty, incorrectly formatted, or for the wrong endpoint. Ensure the API key corresponds to your payment method, is copied completely without extra spaces, and that your account subscription is active.
  2. OpenClaw may be using an incorrect, stale configuration from its configuration cache. To resolve this, delete the providers configuration item from the ~/.openclaw/agents/main/agent/models.json file and restart OpenClaw.
  3. invalid_iam_token indicates that the API key failed IAM authentication. Common scenarios include: the API key has been revoked or disabled; the API key does not match the Base URL; or a temporary credential has expired. Verify that the API key and Base URL match, and that the API key status is active.
  • Do not use a "Replace All" function, as this will overwrite your custom configuration. Instead, modify only the relevant sections.
  • Use one of the following methods to complete the configuration:
    • If OpenClaw is responding normally: Enter the commands directly in an OpenClaw chat to merge the configuration.
    • If OpenClaw has no models configured or is not responding: Manually edit the ~/.openclaw/openclaw.json file. Modify only the relevant fields and leave your existing configuration unchanged.
After restarting the gateway, existing sessions may not function correctly. Start a new session.
Error message:
http://127.0.0.1:18791/15:05:56 [ws] closed before connect conn=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx remote=127.0.0.1 fwd=n/a origin=n/a host=127.0.0.1:18789 ua=n/a code=1008 reason=device identity required
Cause:This error occurs when a client connects to the gateway without providing a device identity. Common causes include:
  • You are accessing the URL in a browser for the first time, and device pairing is not yet complete.
  • The browser cache was cleared, causing the device key to be lost.
  • After reinstalling or upgrading OpenClaw, the key file in the ~/.openclaw/identity/ directory is missing.
Solution:Run the following commands in the terminal to approve the device connection and generate a new browser access URL:
openclaw devices approve --latest
openclaw dashboard --no-open
If the issue persists, clear pending device records and try again:
openclaw devices clear --pending --yes
openclaw dashboard --no-open
Run openclaw devices list to confirm the device appears in the Paired list.
Cause: OpenClaw has a built-in heartbeat mechanism. While the gateway is running, it automatically calls the configured model at a fixed interval (every 30 minutes by default) to check for pending tasks. Each heartbeat consumes a small number of tokens.How to verify: Check the session log files (.jsonl) in the ~/.openclaw/agents/main/sessions/ directory. Heartbeat calls are marked with [OpenClaw heartbeat poll].Solutions:
  • Stop the gateway: Run openclaw gateway stop when not in use. This stops the heartbeat immediately.
  • Increase the heartbeat interval: Set agents.defaults.heartbeat.every in ~/.openclaw/openclaw.json. For example, "2h" sets the interval to every 2 hours.