OpenClaw Session Management: How to Keep Long Tasks From Timing Out

If you’re running OpenClaw for long-running tasks, such as generating large codebases, extensive documentation, or complex datasets, you’ve likely encountered the frustration of sessions timing out. This isn’t just about losing progress; it’s about wasted API credits and the necessity of manually restarting processes, which is particularly irritating if you’re not actively monitoring the server. The default session timeout, often set by the underlying web server or proxy, or even OpenClaw’s own internal defaults, can prematurely terminate a perfectly valid, but slow, generation process.

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Understanding the Timeout Problem

OpenClaw, like many web-based applications, uses HTTP for its API interactions and web UI. When you initiate a long task, the server process might be working diligently in the background, but the HTTP connection itself can be idle for extended periods waiting for the AI model to respond. Load balancers, reverse proxies (like Nginx or Apache), and even the client-side browser or script can interpret this inactivity as a stalled connection and terminate it. On a Hetzner VPS, for example, if you’re using their default Nginx setup, you might hit an upstream timeout or a proxy read timeout.

The solution isn’t a single magical bullet but a combination of adjustments across your OpenClaw configuration and potentially your server’s proxy settings. We’ll focus on OpenClaw’s internal mechanisms first, as these are often the most direct and overlooked controls.

Adjusting OpenClaw’s Internal Session Parameters

OpenClaw provides granular control over its internal session and API interaction timeouts. These are crucial because they dictate how long OpenClaw itself will wait for an API response from the LLM provider before considering the request failed. Even if your proxy is configured correctly, OpenClaw might still time out internally.

You’ll find these settings in your .openclaw/config.json file. If this file doesn’t exist, create it in your OpenClaw home directory (usually ~/.openclaw/). Here’s an example snippet you might add or modify:

{
  "api_timeouts": {
    "connect": 10,
    "read": 600,
    "write": 600
  },
  "session_manager": {
    "default_timeout_seconds": 3600,
    "cleanup_interval_seconds": 300
  },
  "generation_defaults": {
    "max_tokens": 8000,
    "temperature": 0.7,
    "timeout_seconds": 1800
  }
}

Let’s break down these parameters:

• api_timeouts.connect: The maximum time, in seconds, to wait for a connection to be established with the LLM provider (e.g., OpenAI, Anthropic). A value of 10 seconds is usually sufficient.
• api_timeouts.read: The maximum time, in seconds, to wait for a response from the LLM provider after a connection has been established. For long tasks, this is critical. Setting it to 600 (10 minutes) or even 1200 (20 minutes) is a good starting point.
• api_timeouts.write: The maximum time, in seconds, to wait for OpenClaw to send data to the LLM provider. This is less frequently an issue but can be increased if you’re sending massive prompts.
• session_manager.default_timeout_seconds: This is OpenClaw’s overall session timeout for the web UI. If you’re running tasks via the UI, this prevents the browser session from expiring while the backend task is still running. A value of 3600 (1 hour) is a reasonable maximum for interactive sessions. For purely API-driven tasks, this is less relevant but good practice.
• session_manager.cleanup_interval_seconds: How often OpenClaw’s session manager cleans up expired sessions. You generally don’t need to change this.
• generation_defaults.timeout_seconds: This is a task-specific timeout that applies to individual generation calls. Even if api_timeouts.read is high, this can still cut off a generation early. Setting it to 1800 (30 minutes) or more ensures that complex generations have ample time to complete.

The non-obvious insight here is that api_timeouts.read and generation_defaults.timeout_seconds are often the culprits for long tasks. You might have a high api_timeouts.read, but if generation_defaults.timeout_seconds is still at its default (often 300-600 seconds), your individual generation calls will still fail prematurely. Ensure generation_defaults.timeout_seconds is sufficiently high for your longest expected task.

Proxy Server Configuration (Nginx Example)

If you’re running OpenClaw behind a reverse proxy like Nginx (common on VPS setups), you’ll also need to adjust its timeout settings. OpenClaw might be patiently waiting, but Nginx could be cutting off the connection between the client and OpenClaw.

On a typical Linux system (like Debian/Ubuntu on a Hetzner VPS), your Nginx configuration for OpenClaw might be located at /etc/nginx/sites-available/openclaw.conf or similar. Add or modify the following directives within your location / {} block or server {} block:

location / {
    proxy_pass http://localhost:8000; # Or wherever OpenClaw is listening
    proxy_read_timeout 1200s;
    proxy_send_timeout 1200s;
    proxy_connect_timeout 60s;
    send_timeout 1200s;
}

Here’s what these mean:

• proxy_read_timeout: How long Nginx will wait for a response from OpenClaw after sending a request. This is the most crucial setting for long API calls. Set it to a value like 1200s (20 minutes) or even higher, matching or exceeding your OpenClaw internal timeouts.
• proxy_send_timeout: How long Nginx will wait to send a request to OpenClaw. Less critical for typical OpenClaw usage.
• proxy_connect_timeout: How long Nginx will wait to establish a connection to OpenClaw.
• send_timeout: How long Nginx will wait for a client to accept data. This ensures that slow clients don’t hog connections.

After modifying your Nginx configuration, you must test and reload Nginx:

sudo nginx -t
sudo systemctl reload nginx

Limitations and Considerations

These adjustments primarily address timeouts due to inactivity or long processing times. They assume your VPS has sufficient resources. If your OpenClaw instance is running on a low-resource machine, like a Raspberry Pi 3 with 1GB RAM, and it’s attempting to generate a 100,000-token codebase, you’ll still encounter problems. The process might get killed by the operating system’s OOM (Out Of Memory) killer long before any timeout occurs. For such heavy tasks, a VPS with at least 2GB RAM is a practical minimum, and 4GB is recommended for comfort.

Also, these settings don’t protect against network interruptions between your VPS and the LLM provider. If the connection drops completely, the task will still fail, regardless of how high your timeouts are set. For true resilience, consider implementing client-side retry logic or using OpenClaw’s batch processing features that can resume from checkpoints if available.

Finally, while setting timeouts extremely high (e.g., several hours) might seem like a foolproof solution, it can tie up resources unnecessarily if a task genuinely hangs. Find a balance that accommodates your longest legitimate tasks without preventing genuine failure detection.

To implement these changes, add the following to your ~/.openclaw/config.json file (or create it if it doesn’t exist):

{

  "api_timeouts": {

    "connect": 10,

    "read": 1800,

    "write": 600

  },

  "session_manager": {

    "default_timeout_seconds": 7200,

    "cleanup_interval_seconds": 300

  },

  "generation_defaults": {

    "max_tokens": 16000,

    "temperature": 0.7,

    "timeout_seconds": 3600

  }

}