How to Set Up and Use Gemini with Janitor AI (Complete 2026 Tutorial)
Learn how to configure Google Gemini API with Janitor AI using proxy settings for premium AI chat integration in 2026.
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- 01Open Janitor AI and navigate to a chat conversation
- 02Access API Settings via the hamburger menu (top right)
- 03Click the Proxy tab within API Settings
- 04Create a new proxy configuration with a descriptive name
- 05Enter the exact model name: gemini-2.5-flash-preview-05-20
- 06Input the proxy URL provided for your integration
- 07Generate and copy a Google API key from Google AI Studio
- 08Paste the API key into your Janitor AI configuration
- 09Save the configuration and apply settings
- 10Test by opening a chat and sending a message
Introduction
Connecting Google Gemini to Janitor AI via proxy configuration unlocks Gemini's advanced language capabilities directly within your Janitor AI chats. This integration delivers faster response times and enhanced multimodal features for a premium AI experience.
This tutorial covers everything from accessing Janitor AI settings to obtaining your Google API key and finalizing the proxy configuration. You'll also learn how to troubleshoot common setup issues to ensure flawless operation.
Navigate to the Janitor AI Website
Open your preferred web browser and launch a new tab.
Once the Janitor AI homepage loads, sign in to your account.
Your Janitor AI interface should now display your existing chats or character options.
Open your preferred web browser and launch a new tab. Type "Janitor AI" in the search bar and press Enter to locate the official platform. Click the official Janitor AI website from the search results.
Once the Janitor AI homepage loads, sign in to your account. If you aren't already logged in, enter your credentials to access your dashboard. This ensures you have full access to the configuration settings you'll modify throughout this tutorial.
Your Janitor AI interface should now display your existing chats or character options. You're ready to proceed with API configuration. The video covers this section from the 13-second mark through approximately 30 seconds [00:13 - 00:30].
Access the API Settings Menu
From your Janitor AI dashboard, open any existing chat or create a new conversation.
Look to the top right corner of the screen for the three horizontal lines icon (the hamburger menu).
Locate and click on API Settings from the dropdown menu.
From your Janitor AI dashboard, open any existing chat or create a new conversation. This brings you into the main chat interface where configuration options are located. You don't need to send any messages—opening the chat provides access to the settings menu.
Look to the top right corner of the screen for the three horizontal lines icon (the hamburger menu). Click this menu icon to reveal a dropdown list of available options. This menu contains various settings and configuration tools for your account.
Locate and click on API Settings from the dropdown menu. This option takes you to the configuration page where you manage all API connections. The video demonstrates this navigation between [00:31 - 00:40].
Configure the Proxy Tab Settings
Inside the API Settings page, you'll see multiple tabs for different connection types.
The proxy method allows flexible routing of your API requests and provides additional features.
The interface displays any existing proxy configurations you've created.
Inside the API Settings page, you'll see multiple tabs for different connection types. Click on the Proxy tab to access the proxy configuration interface. This is where you set up the Gemini connection using a proxy server rather than a direct API integration.
The proxy method allows flexible routing of your API requests and provides additional features. The proxy tab contains fields for managing multiple configurations, allowing you to maintain different setups for various AI models or use cases.
The interface displays any existing proxy configurations you've created. If this is your first setup, the area will be empty. This section corresponds to the [00:40 - 00:55] portion of the video.
Create a New Proxy Configuration
Within the Proxy tab, locate and click the Add Configuration button.
The first field is the configuration name.
This naming convention helps you quickly switch between different AI backends when chatting.
Within the Proxy tab, locate and click the Add Configuration button. This initiates creation of a new proxy setup for your Gemini integration. A new configuration form will appear with several empty fields to populate.
The first field is the configuration name. Enter a clear, descriptive name such as "Gemini 2.5" or "Google Gemini Proxy" so you can easily identify this configuration later. Memorable naming is particularly important if you maintain multiple API configurations for different models.
This naming convention helps you quickly switch between different AI backends when chatting. Good naming also makes troubleshooting easier if you need to revisit settings. The video covers this step between [00:40 - 00:55].
Enter the Model Name Precisely
In the Model Name field, type the exact model identifier for Gemini: **gemini-2.
Pay close attention to capitalization, spacing, and punctuation.
Double-check your entry before moving to the next field.
In the Model Name field, type the exact model identifier for Gemini: gemini-2.5-flash-preview-05-20 precisely as shown, including all spaces and hyphens. This exact string tells the proxy server which specific Gemini model variant to route your requests to.
Pay close attention to capitalization, spacing, and punctuation. Even a single typo or extra space causes integration failure with a "model not found" error. The system requires exact matching for model identifiers to ensure proper routing.
Double-check your entry before moving to the next field. Compare character-by-character against the provided model name to ensure accuracy. This critical step is demonstrated in the video from approximately [00:55 - 01:31].
Input the Proxy URL
Locate the Proxy URL field in your configuration form.
The proxy URL should begin with "https://" and contain the full domain and any necessary path components.
After pasting, visually inspect both the beginning and end of the URL to confirm nothing was accidentally included or cut off.
Locate the Proxy URL field in your configuration form. This field requires the full HTTPS address of the proxy server that handles communication between Janitor AI and Google's Gemini API. Paste the complete proxy URL provided to you for this integration.
The proxy URL should begin with "https://" and contain the full domain and any necessary path components. Copy the entire URL without any trailing spaces, line breaks, or additional punctuation, as these characters commonly cause connection errors.
After pasting, visually inspect both the beginning and end of the URL to confirm nothing was accidentally included or cut off. The proxy URL acts as the bridge between Janitor AI and Gemini, so accuracy is essential. This step continues the section from [00:55 - 01:31].
Obtain Your Google API Key
Open a new browser tab while keeping your Janitor AI configuration page open.
Once Google AI Studio loads, look for the Get API Key option on the lower left side of the interface.
On the API keys page, locate the Create API Key button in the top right corner of the screen.
Open a new browser tab while keeping your Janitor AI configuration page open. Navigate to Google AI Studio by typing it into your search bar or entering the direct URL. This is Google's official interface for managing API access to their AI models including Gemini.
Once Google AI Studio loads, look for the Get API Key option on the lower left side of the interface. Click this button to navigate to the API key management page. This area allows you to create, view, and manage all your Google AI API credentials.
On the API keys page, locate the Create API Key button in the top right corner of the screen. Click this button to begin the key generation process. You may be prompted to select a specific Google Cloud project if you have multiple projects associated with your account.
If a project selection dialog appears, choose the appropriate project for your Gemini integration or select the default option. Click Create Key to confirm your selection and generate the new API key. After a brief moment, your new API key will appear on the screen.
Click the copy icon next to your newly generated API key to copy it to your clipboard. This key is a sensitive credential that grants access to your Google AI services—treat it like a password and never share it publicly. The video walks through this entire process from [01:31 - 02:08].
Finalize the Configuration Setup
Return to your Janitor AI browser tab where you left the proxy configuration form open.
Verify that the entire API key has been pasted correctly without extra spaces at the beginning or end.
Click the Add Configuration button at the bottom of the form to register this new proxy setup.
Return to your Janitor AI browser tab where you left the proxy configuration form open. Locate the API Key field in the configuration form. Click inside this field and paste the Google API key you just copied from Google AI Studio.
Verify that the entire API key has been pasted correctly without extra spaces at the beginning or end. The key is a long string of characters, and every character must be included for authentication to succeed. Visually confirm the paste operation was complete.
Click the Add Configuration button at the bottom of the form to register this new proxy setup. The system saves your configuration with the name, model identifier, proxy URL, and API key you provided. Your new configuration should appear in the list of available proxy setups.
Finally, click the Save Settings button to apply all changes to your Janitor AI account. This commits your configuration and makes it available for use in your chats. The video demonstrates this finalization from [02:08 - 02:24].
Troubleshoot Common Setup Issues
Authentication errors after setup typically indicate an incorrect or expired API key.
Model not found errors usually indicate a typo in the model name field.
Connection timeout issues often stem from an incorrect or inaccessible proxy URL.
Authentication errors after setup typically indicate an incorrect or expired API key. Return to API Settings and verify that your Google API key is pasted completely and accurately. Generate a new key in Google AI Studio if needed and replace the old one.
Model not found errors usually indicate a typo in the model name field. Navigate back to your proxy configuration and carefully check that gemini-2.5-flash-preview-05-20 is spelled exactly as shown. Compare each character and space to ensure perfect accuracy.
Connection timeout issues often stem from an incorrect or inaccessible proxy URL. Verify that the proxy address is entered correctly and that your network can reach the proxy server. Some corporate or school networks may block certain proxy connections, so you might need to try from a different network.
If messages fail to send or you receive generic error responses, try refreshing your browser and reopening the chat. Clearing your browser cache can resolve unexpected behavior. You can also temporarily switch to a different API configuration to determine if the issue is specific to your Gemini setup.
You can always return to API Settings to edit, update, or delete your configuration. The system allows you to maintain multiple API setups and switch between them as needed. This troubleshooting section corresponds to the video from [02:24 - 02:50].
Start Using Gemini in Your Chats
With your configuration saved and tested, you're ready to use Google Gemini within Janitor AI.
You should notice faster response times compared to other models, as Gemini is optimized for speed.
Return to API Settings at any time to modify your configuration, rotate your API key for security purposes, or add additional model setups.
With your configuration saved and tested, you're ready to use Google Gemini within Janitor AI. Open any character chat or start a new conversation to experience Gemini's capabilities. Your messages are now processed through the Gemini model via the proxy connection you configured.
You should notice faster response times compared to other models, as Gemini is optimized for speed. The model supports multimodal capabilities, meaning it handles various types of input and context. Your chat experience should feel smooth and responsive with the integration properly configured.
Return to API Settings at any time to modify your configuration, rotate your API key for security purposes, or add additional model setups. Managing multiple configurations allows you to switch between different AI models based on your needs. This concluding section covers the final portion of the video from approximately [02:50 - end].
Copy-paste prompts that work
Each prompt has been tested and optimized for this workflow. Customize the bracketed sections.
Explain the key differences between Gemini 2.5 Flash and other available language models in terms of speed and capability.
Help me troubleshoot an authentication error in my Gemini API integration. I'm getting a 401 error when trying to send messages.
What are the rate limits and quotas I should be aware of when using the free tier of Google AI Studio?
Write a detailed character prompt for a Janitor AI character that will use Gemini as its backend model.
How can I switch between multiple API configurations in Janitor AI for different character chats?
Test Gemini's multimodal capabilities by describing an image scenario and asking it to generate contextually relevant dialogue.
Rotate my Google API key for security purposes after three months of use.
Compare response times between my current Gemini configuration and another API model I've configured in Janitor AI.
Janitor AI Technical Specifications
| Free Tier | ✓ Yes |
| Api Access | ✗ No |
| Mobile App | ✓ Yes |
| Voice Mode | ✗ No |
| Web Search | ✗ No |
| File Upload | ✗ No |
| Code Execution | ✗ No |
| Context Window | Unknown |
| Image Generation | None |
| Plugins Extensions | ✓ Yes |
| Context Window Desc | The platform does not publish a specific token or word limit for JanitorLLM. |
Common issues
Go further
This is especially useful when Google releases updated model versions—you can keep your working configuration while testing new releases in parallel, then switch your default once you've confirmed the new version performs better for your use case.
If you ever need to revoke a key quickly (such as after sharing your screen during a video call), having organized key management means you can generate and swap in a new key in under a minute without losing access to your chats.
This proactive monitoring is critical because hitting quota limits mid-conversation can disrupt your workflow, and understanding your usage patterns helps you decide whether to stay on the free tier or upgrade to a paid plan before you actually need it.
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Gemini is the core AI model being integrated into Janitor AI throughout this tutorial.
Advanced users can use n8n to automate API key rotation and proxy configuration management across multiple Janitor AI instances.
Zapier can automate workflows that trigger Janitor AI chats based on external events or integrate Janitor AI conversations with other platforms.
This tutorial was created by Joshua Kishaba and produced using AI-assisted editorial tools. All recommendations reflect genuine editorial opinion based on hands-on testing. This page may contain affiliate links — see our full disclosure.