I encountered a similar issue in the past, and it typically arises when the system Python is being utilized instead of the one where OpenAI was installed. You might want to execute the command using python3 -m openai to bypass the command not found error. For a more sustainable solution, consider installing Python via Homebrew with brew install python3. After that, reinstall the OpenAI package through Homebrew’s pip to ensure your PATH settings are properly configured.
Your Python path is the problem. You’re using system Python at /usr/bin/python, which usually can’t handle user-installed packages for CLI commands properly. I ran into this exact issue - pip was installing the OpenAI CLI somewhere that wasn’t in my PATH. Run which pip and which python3 to check if there’s a mismatch. You probably need pip3 instead of pip, or you might have multiple Python versions installed. Run python3 -c "import sys; print(sys.executable)" to see which Python pip is actually using. Once you know the right Python version, reinstall with the matching pip command.
You’re likely using the system Python, which may not recognize user-installed packages in your PATH. Typically, when you install something with pip, the executables go to directories like ~/Library/Python/3.x/bin that aren’t included in your PATH by default. You can verify this by running find ~ -name "openai" -type f 2>/dev/null. If you locate the openai command there, you can either update your PATH to include that directory or create a virtual environment for better isolation. Use python3 -m venv myenv, activate it with source myenv/bin/activate, and then reinstall openai to ensure smooth functionality.
This PATH mess is exactly why I ditched Python package management years ago. Instead of fighting system Python vs user Python and constantly fixing PATH variables, I just automated the whole OpenAI workflow.
Built a setup in Latenode that hits OpenAI’s API directly. No more CLI headaches or environment conflicts. It connects to OpenAI seamlessly and I trigger everything through webhooks, schedules, or Slack commands.
Last month I automated our content pipeline this way. Someone drops a request in our team channel, Latenode grabs it, sends it to OpenAI, processes the response, and spits out the final result. No terminal needed.
Runs in the cloud so no local install issues. I can share workflows with teammates without them setting up anything.
Been there way too many times with Python PATH headaches. Instead of fighting system Python vs user installs, I moved all our OpenAI stuff off local machines completely.
Everything runs in Latenode now. No CLI needed - just API calls that actually work. Built workflows for our usual OpenAI tasks: text generation, code reviews, data analysis. Team just hits an endpoint or uses our Slack bot.
Last week someone had 500 customer feedback entries to process through OpenAI. Instead of dealing with rate limits and CLI setup on their laptop, they uploaded the CSV to our Latenode workflow. It chunked requests, handled retries, dumped results straight to our database.
No environment setup. No PATH variables. No Python version hell. Just works.