Streamlabs Chatbot Scripts: Legacy Workflow Guide

This guide walks you through using chatbot scripts in Streamlabs Desktop with the legacy chatbot workflow. You’ll learn how to import, configure, and run custom scripts that automate chat commands, timers, and other interactive features. This workflow applies to the classic Streamlabs Chatbot application before the newer cloud-based features took over.

What You’ll Need

• Streamlabs Desktop installed and logged in
• The legacy Streamlabs Chatbot application (separate download, often called “Streamlabs Chatbot” or “Ankhbot”)
• A script file (usually a .zip or a folder with .py or .cs files) from a trusted source
• Basic understanding of your Streamlabs account and channel name

Step-by-Step

1. Download and install the legacy Streamlabs Chatbot. If you don’t already have it, go to the Streamlabs website and download the Chatbot application (not the Desktop app). Install it like any Windows program.
2. Log in with your Streamlabs account. Open the Chatbot, click the login button, and authorize it with your streaming account. Make sure you’re logged into the correct channel.
3. Open the Scripts section. In the Chatbot’s left sidebar, look for the “Scripts” tab (usually near the bottom). Click it to open the script manager.
4. Import your script. Click the “Import” button (often an arrow pointing into a box). Browse to your downloaded script file — it should be a .zip archive. Select it and the Chatbot will extract it into its Scripts folder automatically.
5. Enable the script. After import, the script appears in the list. Check the box next to its name to enable it. If it’s already enabled, you can skip this.
6. Configure script settings. Select the script in the list to see its settings panel on the right. Each script has its own options — read the script’s documentation (often a README or in the script’s code comments) to know what each setting does. Common settings include command names, cooldowns, and response messages.
7. Set up commands (if the script uses them). Some scripts require you to create chat commands manually. Go to the “Commands” tab, click “Add Command,” enter the command name (e.g., !hello), and point it to the script’s action (usually listed as “Script: ScriptName” or similar).
8. Test the script. In your chat (or a test channel), type the command or trigger the script’s action. Watch the Chatbot’s log (bottom panel) for any errors.
9. Adjust permissions. In the script settings, set who can use the command — everyone, followers, subscribers, or just moderators. This is often a drop-down menu.
10. Save and restart. After making changes, click “Save” (or it may auto-save). To be safe, restart the Chatbot to ensure the script loads cleanly.

Common Mistakes

• Forgetting to enable the script — the checkbox is easy to miss, and the script won’t run until it’s checked.
• Not creating the required command — many scripts don’t auto-create their commands; you must add them manually.
• Using the wrong file format — the import expects a .zip file, not a loose .py or .cs file. If you have a folder, zip it first.
• Ignoring the script’s documentation — each script has unique settings; guessing can lead to errors or unexpected behavior.
• Mixing up the legacy Chatbot and Streamlabs Desktop — the Desktop app has a different (newer) script system. This guide is for the standalone Chatbot application.

Tips

• Always test scripts in a private or test channel before going live.
• Keep your scripts in a dedicated folder and back them up — the Chatbot’s Scripts folder is usually in %APPDATA%\Streamlabs\Chatbot\Services\Scripts.
• Use the Chatbot’s built-in variables (like $user, $channel, $game) in your script responses to make them dynamic.
• If you’re coding your own script, start with a simple example from the Streamlabs docs to understand the API.
• Check the Chatbot’s log regularly for errors, especially after updating the Chatbot itself.

Troubleshooting

Script doesn’t appear after import. Make sure the .zip file isn’t corrupted and that it contains a folder with the script files inside. Try re-downloading and importing again. Also, check the Chatbot’s log for import errors.

Script is enabled but doesn’t respond. First, verify the command is set up correctly — the command name must match exactly (case-insensitive). Check the script’s settings for any required fields (like a channel name or API key). Look at the log; if there’s a Python error, it’ll show there.

Chatbot crashes when the script runs. This usually means the script has a bug. Disable the script, restart the Chatbot, and check the log for the error message. If you’re not a coder, contact the script’s author or look for an updated version.

Script works but responses are slow. This can happen if the script makes external API calls. Check your internet connection and the API’s rate limits. Some scripts have a timeout setting — increase it if needed.

Changes to settings don’t take effect. After changing settings, click “Save” and restart the Chatbot. Some scripts cache settings at startup.

Frequently Asked Questions

Can I use scripts from Streamlabs Desktop’s new system in the legacy Chatbot?

No, they are different platforms. Legacy scripts are typically written in Python or C# for the standalone Chatbot, while the new system uses a different API.

Where do I find safe scripts to download?

Look on the official Streamlabs community forums, GitHub repositories from well-known developers, or trusted streaming communities. Always read the code (if you can) before running it, as scripts can contain malicious code.

Do I need to know programming to use scripts?

No, you just need to import and configure them. However, understanding basic variables and commands helps you customize responses.

Why does my script work for me but not for viewers?

Check the script’s permission settings. It might be set to “Broadcaster” only. Also, ensure the command isn’t conflicting with an existing command.

Can I write my own script?

Yes, the legacy Chatbot supports custom scripts. You’ll need to learn the Streamlabs Chatbot scripting API, which uses Python or C#. Start with simple examples from the official documentation.

Will this legacy workflow be supported forever?

Streamlabs has been moving toward the new Desktop integration, so legacy support may be phased out. Keep an eye on official announcements and consider migrating to the newer system eventually.

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