Fixing ClawdBot Telegram Channel Errors in China: VPN Proxy Configuration Guide

Category: DevOps | Published on ClawList.io

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Introduction: When the Great Firewall Meets Your AI Automation Stack

If you're running ClawdBot in China, you've almost certainly encountered it: the frustrating Telegram channel connection error that fires up every time the bot starts. The culprit isn't your code, your API keys, or a bug in ClawdBot itself — it's the Great Firewall of China (GFW) blocking outbound connections to Telegram's infrastructure.

This is one of the most commonly reported friction points for developers and AI engineers running ClawdBot-based automation pipelines on mainland Chinese servers or local machines. The good news is that the fix is straightforward: a single configuration change in clawdbot.json that routes your Telegram channel traffic through your local VPN proxy. Credit goes to @0xAA_Science for sharing this practical solution with the community.

In this guide, we'll walk through why this error occurs, how to configure the proxy correctly, and a few best practices to keep your ClawdBot Telegram integration running reliably.

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Understanding the Problem: Why ClawdBot Fails to Connect to Telegram in China

Telegram is blocked in China at the network level. When ClawdBot initializes and attempts to establish a connection to its configured Telegram channel, the outbound request gets intercepted and dropped by the GFW. The result is a connection timeout or explicit error logged at startup — something along the lines of:

[ClawdBot] Error: Failed to connect to Telegram channel
[ClawdBot] Connection timed out: api.telegram.org

This doesn't mean your ClawdBot instance is broken. Every other channel or skill you've configured may work perfectly fine. The issue is exclusively the network path between your machine and Telegram's servers.

Common scenarios where this affects developers:

• Running ClawdBot on a mainland China cloud server (Alibaba Cloud, Tencent Cloud, Huawei Cloud)
• Developing locally on a machine in China without system-level proxy configuration
• Automated CI/CD pipelines that deploy and start ClawdBot on Chinese infrastructure
• Docker containers running ClawdBot without inherited host proxy settings

The standard workaround — using a system-wide proxy — often doesn't propagate cleanly into application-level HTTP/HTTPS clients, especially inside containers or managed environments. ClawdBot needs to be told explicitly where to route Telegram traffic.

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The Fix: Adding a Proxy to Your ClawdBot Telegram Channel Configuration

The solution is to specify your VPN proxy endpoint directly inside the channels section of your clawdbot.json configuration file, under the telegram channel definition.

Step 1: Identify Your Local VPN Proxy Port

Most VPN clients and proxy tools expose a local SOCKS5 or HTTP proxy port. Common defaults include:

| Tool | Default Proxy Port | Protocol | |---|---|---| | Clash | 7890 | HTTP/SOCKS5 | | V2Ray | 10808 | SOCKS5 | | Shadowsocks | 1080 | SOCKS5 | | Surge | 6152 | HTTP |

Check your VPN or proxy client settings to confirm the exact port and protocol it exposes locally. For most setups in China, the address will be http://127.0.0.1:PORT or socks5://127.0.0.1:PORT.

Step 2: Edit Your clawdbot.json

Open your clawdbot.json file. Locate the channels object, and find the telegram entry. Add a proxy field with your local proxy address:

{
  "channels": {
    "telegram": {
      "token": "YOUR_TELEGRAM_BOT_TOKEN",
      "chat_id": "YOUR_CHAT_ID",
      "proxy": "http://127.0.0.1:7890"
    }
  }
}

If you're using a SOCKS5 proxy (common with V2Ray or Shadowsocks):

{
  "channels": {
    "telegram": {
      "token": "YOUR_TELEGRAM_BOT_TOKEN",
      "chat_id": "YOUR_CHAT_ID",
      "proxy": "socks5://127.0.0.1:1080"
    }
  }
}

Step 3: Restart ClawdBot

Save the configuration file and restart your ClawdBot instance:

# If running directly
clawdbot restart

# If running via PM2
pm2 restart clawdbot

# If running in Docker
docker restart clawdbot-container

On startup, ClawdBot will now route all Telegram channel traffic through the specified proxy, bypassing the GFW entirely. The connection error should no longer appear in your logs.

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Best Practices and Additional Considerations

Getting the proxy configured is just step one. Here are a few additional practices to keep your ClawdBot Telegram integration stable in a restricted network environment.

Keep your proxy port consistent. Some VPN clients change their local port on restart or after updates. Pin your proxy tool to a fixed port in its settings and use that same port in clawdbot.json. Clash, for example, lets you hardcode the mixed-port in its config.yaml.

Use environment variables for sensitive configuration. If you're committing clawdbot.json to a repository, avoid hardcoding tokens. Many ClawdBot setups support environment variable substitution:

{
  "channels": {
    "telegram": {
      "token": "${TELEGRAM_BOT_TOKEN}",
      "chat_id": "${TELEGRAM_CHAT_ID}",
      "proxy": "${PROXY_URL}"
    }
  }
}

Test connectivity independently before debugging ClawdBot. If the proxy configuration doesn't resolve the error, verify your proxy itself is working first:

curl -x http://127.0.0.1:7890 https://api.telegram.org

A successful response confirms the proxy is functional. If this fails, the issue is with your VPN or proxy client, not ClawdBot.

Consider a dedicated proxy process for server deployments. If ClawdBot runs on a remote server without a GUI VPN client, tools like clash running in daemon mode, or a remote SOCKS5 proxy forwarded via SSH tunnel, can provide the proxy endpoint that ClawdBot needs:

# SSH local port forwarding example
ssh -N -L 1080:127.0.0.1:1080 user@your-proxy-server

Then point ClawdBot's proxy config at socks5://127.0.0.1:1080.

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Conclusion

The Telegram channel error in ClawdBot is a well-known pain point for developers working within China's network environment, but it has a clean, minimal solution. By adding a proxy field to the telegram section of your clawdbot.json, you give ClawdBot a direct path around the GFW without touching your system-level network settings or restructuring your entire setup.

This kind of targeted, per-channel proxy configuration is exactly the sort of practical knowledge that often lives only in developer forums or buried tweets — which is why sharing it matters. Thanks to @0xAA_Science for surfacing this fix.

If you're building AI automation workflows with ClawdBot and OpenClaw skills, network reliability is foundational. Getting your notification and communication channels connected properly means your automation pipelines can alert, report, and interact without silent failures — which is the baseline you need before trusting any automated system in production.

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