The most frustrating thing isn’t that the model isn’t smart enough—it’s that right after you finish writing a piece of calling code, it hits you with Invalid API Key, 403, or “Network connection failed.” I’ve organized the pitfalls I’ve personally run into into a universal troubleshooting checklist for ChatGPT OpenAI, Claude Anthropic, and Gemini, and I’ll also briefly mention common permission issues with Midjourney.
Three types of issues you can fix at a glance
The key is entered wrong or placed in an old project
A lot of people accidentally paste extra spaces before or after the key, or drop a test-environment key into production. I suggest copying the key into plain text to take a quick look, then pasting it back.
The request is sent to the wrong endpoint or model name
A wrong model name can also make you think the key is wrong. Don’t brute-force it—follow the “keep it simple” mindset (the KISS principle really works): first get the most basic official example request working, then add parameters.
Environment dependencies drag you down
If you’re using an off-the-shelf plugin or scaffold (for example, dependency conflicts common in some Node plugins like ETARGET or ERESOLVE), install dependencies cleanly and align versions first—otherwise you’ll waste an hour on a “key error” that isn’t actually a key issue.


