Direct answer: If you’re hitting “too many concurrent requests,” it means your current usage is sending more simultaneous calls to a service than allowed. The typical fixes are to slow down or serialize requests, and to adjust concurrency limits or retry strategy. What to do now

• Identify concurrency hotspots: look for places where multiple requests fire at once (e.g., multiple tabs, parallel API calls, or loops launching many requests in parallel).
• Throttle or serialize: limit how many requests are in flight at any moment. Implement a simple queue or a short delay between requests.
• Use exponential backoff: when you receive a rate-limiting signal, wait progressively longer before retries, up to a reasonable maximum.
• Check per-account limits: some services publish concurrency and rate limits in the dashboard or docs. If you’re on an API, review your plan’s limits and consider upgrading if needed.
• Optimize request size and duration: shorter, faster requests reduce the chance of hitting limits. If possible, batch smaller requests or reduce payloads.
• If this is a client issue: close unused tabs, disable auto-refresh, and ensure background tasks aren’t sending extra requests.

If you can share the exact service you’re hitting (for example, a chat/AI API, a web service, or a particular dashboard) and a rough outline of your current request pattern (how many parallel calls you typically launch, and any error codes or timestamps), a tailored mitigation plan with concrete code snippets can be provided.