The error “too many concurrent requests” on ChatGPT means your requests are being sent and processed in parallel beyond what the service can handle at that moment. It’s a safety measure to protect performance and fair access for all users. Here’s how to address it and reduce occurrences. What it means
- Concurrency controls: The system limits how many prompts can be active at once from a single user or session to prevent overload. If several prompts are submitted nearly simultaneously, they count as concurrent and may be blocked or delayed. This is not a bug; it’s a built-in safeguard to maintain service stability. [source context noted]
What you can do to resolve or avoid it
- Slow down request rate:
- Avoid sending multiple prompts at the exact same time.
- Wait a few seconds between messages, especially after receiving a response.
- Use thoughtful batching:
- Combine related questions into a single prompt when possible, instead of sending many separate prompts in quick succession.
- Refresh session and reduce browser-related noise:
- Sign out and sign back in to reset the session state.
- Clear browser cookies and site data for ChatGPT, then log in again.
- Check for client-side issues:
- If you’re using the API, implement exponential backoff and respect per-key rate limits.
- Ensure your application isn’t triggering rapid-fire requests due to a loop or misconfiguration.
- If the issue persists:
- Try from a different device or network to rule out local throttling.
- Contact OpenAI support with details about your usage pattern and timestamps to investigate possible service-side limits.
Practical quick steps
- Pause after each response for 5–10 seconds before sending a new prompt.
- If you need to ask multiple questions, craft them into one message when possible.
- If you experience repeated blocks, sign out, clear data, then sign back in, and retry with reduced prompt frequency.
If you’d like, describe your current workflow (web app, API usage, or browser use) and I can tailor a precise, step-by-step plan to reduce these errors in your setup.
