OpenClaw - QwenCloud

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.

Quick Start

Install the Qwen plugin

openclaw plugins install @openclaw/qwen-provider

If the plugin cannot be installed, see Configure with a configuration file.

Get an API key

Token Plan
Pay-as-you-go

Get a Token Plan API key for your edition:

Token Plan (Personal Edition): Create or view API Key
Token Plan (Team Edition): Assign a seat and get the API Key

Configure the model

Run the command for your billing plan and enter the API key when prompted.

Token Plan
Pay-as-you-go

openclaw onboard --auth-choice qwen-token-plan-cn

Verify

Run the following commands to check the model list and a test call:

openclaw models list --provider qwen-token-plan
openclaw agent --model qwen-token-plan/qwen3.8-max --message "Reply with: ok"

Configure with a configuration file

Use this method if the Qwen plugin cannot be installed or you prefer to manage the configuration manually.

Open or create the configuration file

~/.openclaw/openclaw.jsonUpdate only the relevant fields in models, agents, and gateway. Do not replace the entire file.

Write the configuration

Token Plan (Personal Edition)
Token Plan (Team Edition)
Pay-as-you-go

Replace YOUR_API_KEY with your Token Plan (Personal Edition) dedicated API key. For available models, see supported Token Plan (Personal Edition) models.

Parameter	Value
API Key	Token Plan (Personal Edition) dedicated API Key
Base URL	`https://token-plan.maas.qwencloudapi.com/apps/anthropic`
Available models	All models included in the Token Plan (Personal Edition)

{
  "models": {
    "mode": "merge",
    "providers": {
      "qwencloud-token-plan": {
        "baseUrl": "https://token-plan.maas.qwencloudapi.com/apps/anthropic",
        "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": 1000000,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.8-flash",
            "name": "qwen3.8-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.7-max",
            "name": "qwen3.7-max",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.7-plus",
            "name": "qwen3.7-plus",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.6-flash",
            "name": "qwen3.6-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash",
            "name": "deepseek-v4.1-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash-1017",
            "name": "deepseek-v4.1-flash-1017",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-pro",
            "name": "deepseek-v4-pro",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-pro-0813",
            "name": "deepseek-v4-pro-0813",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-flash-0731",
            "name": "deepseek-v4-flash-0731",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "glm-5.3",
            "name": "glm-5.3",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 202752,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "glm-5.2",
            "name": "glm-5.2",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 202752,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "qwencloud-token-plan/auto"
      }
    }
  },
  "gateway": {
    "mode": "local",
    "auth": {
      "mode": "none"
    }
  }
}

Replace YOUR_API_KEY with your Token Plan (Team Edition) dedicated API key. For available models, see supported Token Plan (Team Edition) models.

Parameter	Value
API Key	Token Plan (Team Edition) dedicated API Key
Base URL	`https://token-plan.maas.qwencloudapi.com/apps/anthropic`
Available models	All models included in the Token Plan (Team Edition)

{
  "models": {
    "mode": "merge",
    "providers": {
      "qwencloud-token-plan": {
        "baseUrl": "https://token-plan.maas.qwencloudapi.com/apps/anthropic",
        "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": 1000000,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.8-flash",
            "name": "qwen3.8-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.7-max",
            "name": "qwen3.7-max",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.7-plus",
            "name": "qwen3.7-plus",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.6-plus",
            "name": "qwen3.6-plus",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.6-flash",
            "name": "qwen3.6-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash",
            "name": "deepseek-v4.1-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash-1017",
            "name": "deepseek-v4.1-flash-1017",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-pro",
            "name": "deepseek-v4-pro",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-pro-0813",
            "name": "deepseek-v4-pro-0813",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-flash-0731",
            "name": "deepseek-v4-flash-0731",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "kimi-k2.7-code",
            "name": "kimi-k2.7-code",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 262144,
            "maxTokens": 98304,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "kimi-k2.6",
            "name": "kimi-k2.6",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 262144,
            "maxTokens": 98304,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "kimi-k2.5",
            "name": "kimi-k2.5",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 262144,
            "maxTokens": 98304,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "glm-5.3",
            "name": "glm-5.3",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 202752,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "glm-5.2",
            "name": "glm-5.2",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 202752,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "glm-5.1",
            "name": "glm-5.1",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 202752,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "glm-5",
            "name": "glm-5",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 202752,
            "maxTokens": 16384,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "MiniMax-M2.5",
            "name": "MiniMax-M2.5",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 196608,
            "maxTokens": 32768,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "qwencloud-token-plan/auto"
      }
    }
  },
  "gateway": {
    "mode": "local",
    "auth": {
      "mode": "none"
    }
  }
}

Replace YOUR_API_KEY with your QwenCloud API Key. For available models, see supported models. Audio and video models cannot be called through OpenClaw.

Parameter	Value
API Key	Your QwenCloud API Key
Base URL	`https://ap-southeast-1.maas.qwencloudapi.com/apps/anthropic`
Available models	Supported 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",
        "apiKey": "YOUR_API_KEY",
        "api": "anthropic-messages",
        "models": [
          {
            "id": "qwen3.8-max",
            "name": "qwen3.8-max",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.7-plus",
            "name": "qwen3.7-plus",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "qwen3.8-flash",
            "name": "qwen3.8-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 131072,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4-pro-0813",
            "name": "deepseek-v4-pro-0813",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          },
          {
            "id": "deepseek-v4.1-flash",
            "name": "deepseek-v4.1-flash",
            "reasoning": true,
            "input": ["text", "image"],
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "qwencloud/qwen3.8-max"
      }
    }
  },
  "gateway": {
    "mode": "local",
    "auth": {
      "mode": "none"
    }
  }
}

gateway.auth.mode: none is suitable only for local single-machine use. To share or access remotely, run openclaw doctor --generate-gateway-token to generate a token, then restart the Gateway.

Connect messaging channels

DingTalk
Lark
WeChat
QQ

If you deploy OpenClaw using Simple Application Server or Elastic Desktop Service, the DingTalk plugin is typically pre-installed and can be configured in the graphical user interface.

Create a DingTalk application and get credentials

Log in to the DingTalk Open Platform, select an organization for which you have developer permissions, or create an organization and then obtain developer permissions.
In the top menu bar, select Application Development, click Create Application, enter an application name and description, and then click Save.
On the Add Application Capabilities page, add a Bot. Enable Bot Configuration, fill in the required fields, keep the default Stream mode for message receiving mode, and click Publish.
On the Credentials and Basic Information page, get the Client ID and Client Secret.
On the Version Management and Release page, create a version, set the visibility range, save, and publish.

Install the DingTalk channel plugin

openclaw plugins install @soimy/dingtalk
openclaw plugins list

The output should include the dingtalk plugin with a status of loaded.

Configure the DingTalk channel

Add the following configurations to ~/.openclaw/openclaw.json. Replace YOUR_DINGTALK_APPKEY and YOUR_DINGTALK_APPSECRET with the credentials from Step 1. Do not overwrite existing configurations such as models and agents.

{
  "channels": {
    "dingtalk": {
      "enabled": true,
      "clientId": "YOUR_DINGTALK_APPKEY",
      "clientSecret": "YOUR_DINGTALK_APPSECRET",
      "robotCode": "YOUR_DINGTALK_APPKEY",
      "dmPolicy": "open",
      "groupPolicy": "open",
      "messageType": "markdown"
    }
  },
  "plugins": {
    "allow": ["dingtalk"],
    "entries": {
      "dingtalk": {
        "enabled": true
      }
    }
  }
}

Setting both dmPolicy and groupPolicy to open is suitable for testing or personal use. In a production environment, set them to allowlist and add the allowFrom field:

"dmPolicy": "allowlist",
"groupPolicy": "allowlist",
"allowFrom": ["your-employee-id", "group-id"]

Verify

openclaw gateway restart
openclaw status

In the Channels section, DingTalk should be ON with a status of OK - configured. Send a message to the bot in a DingTalk group chat to test the connection.

Create a Lark application

Go to the Lark Open Platform, click Create Custom Enterprise App, enter an application name and description, select an icon, and then click Create.
On the Credentials and Basic Information page, copy the App ID (in the format cli_xxx) and App Secret.
On the Permission Management page, click Batch Import/Export Permissions, paste the following JSON, click Next, Confirm New Permissions, and then click Apply for Activation.

{
  "scopes": {
    "tenant": [
      "aily:file:read",
      "aily:file:write",
      "application:application.app_message_stats.overview:readonly",
      "application:application:self_manage",
      "application:bot.menu:write",
      "cardkit:card:write",
      "contact:user.employee_id:readonly",
      "corehr:file:download",
      "docs:document.content:read",
      "event:ip_list",
      "im:chat",
      "im:chat.access_event.bot_p2p_chat:read",
      "im:chat.members:bot_access",
      "im:message",
      "im:message.group_at_msg:readonly",
      "im:message.group_msg",
      "im:message.p2p_msg:readonly",
      "im:message:readonly",
      "im:message:send_as_bot",
      "im:resource",
      "sheets:spreadsheet",
      "wiki:wiki:readonly"
    ],
    "user": ["aily:file:read", "aily:file:write", "im:chat.access_event.bot_p2p_chat:read"]
  }
}

On the Add Application Capabilities page, select the Add by Capability tab, find the Robot card, and click Configure.
Under Events & Callbacks, on the Event Configuration tab, set Subscription Method to Use long-lived connection to receive events and save. Then add the event im.message.receive_v1.
On the Version Management and Release page, create a version, enter the version number and update description, save, and submit for review and publication.

Configure the Lark bot

Run openclaw channels add, select Feishu, and enter the App ID and App Secret. Then restart the gateway:

openclaw gateway restart

Add the bot to a Lark group chat, or send a message to the bot. The bot replies with a message containing a pairing code. Copy the last line and send it in the OpenClaw chat to complete pairing.

Verify

openclaw status

In the Channels section, Lark should be ON with a status of OK. Send a message in Lark to test the connection.

Ensure your WeChat version is 8.0.70 or later.

Install the WeChat channel plugin

npx -y @tencent-weixin/openclaw-weixin-cli@latest install

After installation, the terminal displays a QR code. Scan it with WeChat to link your account. Once linked, a chat window with ClawBot opens in WeChat.Run openclaw plugins list. The output should include the openclaw-weixin plugin with a status of loaded.

Verify

openclaw gateway restart

Find ClawBot in WeChat and send it a message to test the connection.

Install the QQ channel plugin

openclaw plugins install @sliverp/qqbot
openclaw plugins list

The output should include the qqbot plugin with a status of loaded.

Create a QQ bot

Go to the QQ Open Platform to register and sign in with your developer account.
Create a bot on the OpenClaw page to get an AppID and AppSecret.

The AppSecret is not stored in plain text and is shown only once. Viewing it again forces a reset, so save it to a secure location.

Configure the QQ channel

Add the following configurations to ~/.openclaw/openclaw.json. Replace YOUR_APP_ID and YOUR_APP_SECRET with the credentials from Step 2. Do not overwrite existing configurations such as models and agents.

{
  "channels": {
    "qqbot": {
      "enabled": true,
      "appId": "YOUR_APP_ID",
      "clientSecret": "YOUR_APP_SECRET",
      "dmPolicy": "open",
      "allowFrom": ["*"]
    }
  },
  "plugins": {
    "allow": ["qqbot"],
    "entries": {
      "qqbot": {
        "enabled": true,
        "config": {}
      }
    }
  }
}

Setting dmPolicy to open allows direct messages, and setting allowFrom to ["*"] allows messages from all sources. This is suitable for testing or personal use. In a production environment, restrict access based on your security requirements.

Verify

openclaw gateway restart

Send a message to the bot in QQ to test the connection.

Error codes

If you encounter errors during configuration, refer to the FAQ documentation for your billing plan:

Token Plan: Personal Edition FAQ · Team Edition FAQ
Pay-as-you-go: Error codes

FAQ

How can I view my configured models?

Enter openclaw tui in the terminal to start the OpenClaw terminal command line, and then enter /model to view the model list. Press Enter to select a model and Esc to exit the list.

Why do I get the errors HTTP 401: Incorrect API key provided., No API key found for provider xxx, or HTTP 401: invalid_iam_token?

Possible causes:

The API key is invalid, expired, empty, incorrectly formatted, or for the wrong endpoint. Ensure the API key matches your payment method, is copied completely without extra spaces, and that your subscription is active.
OpenClaw is using an incorrect, stale configuration from its configuration cache. Delete the providers configuration item from ~/.openclaw/agents/main/agent/models.json and restart OpenClaw.
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's region does not match the Base URL region (for example, the API key was created in Singapore, but the Base URL points to another region); or an STS temporary credential has expired. Verify that the API key and Base URL belong to the same region and that the API key status is active.

I have already configured other channels such as DingTalk. How can I safely add models for a new plan?

Do not use a replace-all function. It overwrites custom configurations. Modify only the relevant sections.
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 ~/.openclaw/openclaw.json. Modify only the relevant fields and leave the existing configuration unchanged.

After restarting the gateway, existing sessions may not function correctly. Start a new session.

What should I do if I get a device identity required error?

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:A client connected 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 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 to approve the current device and generate a new browser access URL:

openclaw devices approve --latest
openclaw dashboard --no-open

If the issue persists, clear the abnormal 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.

Token consumption occurs even when OpenClaw is not actively in use

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 ~/.openclaw/agents/main/sessions/. 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.

​Quick Start

​Configure with a configuration file

​Connect messaging channels

​Error codes

​FAQ

Quick Start

Configure with a configuration file

Connect messaging channels

Error codes

FAQ