How to Fix the Most Common JanitorAI Proxy Errors (401, 404, Network Error Explained)
If you are using JanitorAI proxy settings and getting errors, you are not alone. The most common issues are 401 unauthorized, 404 not found, and network error messages.
These errors usually come from a problem with the API key, endpoint, model setup, or connection. The good news is that most of them are easy to fix once you know what to look for.
What Does a 401 Error Mean?
A 401 error usually means your API key is invalid, missing, expired, or entered incorrectly.
To fix it:
- Check that your API key is correct.
- Remove any extra spaces before or after the key.
- Make sure the key is pasted into the right field.
- Re-enter the key if needed.
If the authentication data is wrong, Janitor AI cannot connect to the proxy.
What Does a 404 Error Mean?
A 404 error usually means the request is being sent to the wrong URL or endpoint.
To fix it:
- Check the proxy URL carefully.
- Make sure the endpoint format is correct.
- Confirm that you are using the right base URL for your provider.
- Avoid duplicating route paths manually.
A small URL mistake can cause the entire connection to fail.
What Does a Network Error Mean?
A network error usually means your browser or app cannot reach the proxy server.
To fix it:
- Refresh the page and try again.
- Check your internet connection.
- Try another browser.
- Disable VPN or firewall settings temporarily if needed.
- Confirm that the proxy server is online.
Network errors are often temporary, but they can also point to a blocked connection.
JanitorAI Proxy Troubleshooting Checklist
Use this checklist if the proxy still does not work:
- Confirm the API key is valid.
- Check the proxy URL.
- Make sure the model name is supported.
- Verify the backend is online.
- Retry the connection after saving settings.
This order helps you find the problem faster without changing unnecessary settings.
Common Setup Mistakes
Many proxy errors happen because of simple configuration mistakes.
The most common ones are:
- Wrong API key.
- Wrong base URL.
- Unsupported model ID.
- Using the wrong backend type.
- Copying an old proxy link that no longer works.
Fixing those issues usually solves the majority of Janitor AI proxy problems.
Final Thoughts
If you are dealing with JanitorAI proxy errors, start with the API key and endpoint before moving to anything more advanced. Most 401, 404, and network errors come from configuration problems, not from the AI platform itself.
For a cleaner setup, many users now prefer direct integration methods where possible instead of older proxy work arounds.
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