Feature Request: Token Rate Pace Meter with Adjustable Limits and Auto-Adjust for 429 Response

[Steve-Sexton]

I propose introducing a Pace Meter feature that tracks token usage over time, allows users to set limits on send requests, and includes an auto-adjust mechanism to dynamically adapt to 429 responses (rate limit exceeded). This feature would improve API efficiency, prevent overages, and optimize interaction flow.

Key Features:

1. Token Rate Tracking:

   • Monitor tokens used over a specified time period (e.g., tokens/minute).
   • Display usage trends in real-time via a visual chart or log.

2. Adjustable Request Limits:

   • Allow users to set custom maximum token rates (e.g., 1,000 tokens/min) or request frequencies (e.g., 10 requests/min).
   • Automatically throttle or queue requests when approaching or exceeding set limits.

3. Auto-Adjust Mechanism:

   • When a 429 Too Many Requests response is received:
     • Automatically increase the delay between requests by 10% (or a user-configurable value).
     • Gradually reduce the delay as responses normalize or after a cooldown period.

4. Notifications and Alerts:

   • Provide alerts when token usage approaches limits or when delays are auto-adjusted.
   • Notify users of prolonged throttling or suggest optimizing queries to reduce token consumption.

5. API Integration:

   • Include programmatic hooks for developers to monitor token rates and adjust pace settings dynamically.

6. UI Integration:

   • Add a dashboard widget to display real-time token usage, delay status, and auto-adjust events.

Example Workflow:

1. User sets a token rate limit of 1,000 tokens/min.
2. The system tracks token usage and automatically queues or throttles requests if the limit is exceeded.
3. If a 429 error is received:
   • The system automatically increases the delay between requests by 10%.
   • A notification is displayed: “Rate limit detected. Increasing delay by 10%.”
4. The system gradually normalizes the pace after a cooldown or reduced error responses.

Benefits:

• Cost Control: Prevents accidental overages and excessive token usage.
• Dynamic Adaptability: Reduces interruptions caused by rate limit errors by auto-adjusting the pace in real-time.
• Improved Efficiency: Ensures smoother request handling without manual intervention.
• User-Friendly: Provides actionable insights and controls for managing token consumption effectively.
• Optimized Performance: Minimizes failed requests while maintaining the highest possible throughput within safe limits.

This feature would provide users with greater control, transparency, and flexibility in managing token usage, particularly for high-volume or rate-sensitive applications.

And yes, I used AI to write up my idea. :)