Feature Request: User-Side Rate Limiter for Rate Limit Management in API Requests

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Feature Request: User-Side Rate Limiter for Rate Limit Management in API Requests

Feature Summary:
Implement a user-side rate limiter to manage and control the frequency of requests sent to the Anthropic API. This feature would help prevent rate limit errors (e.g., litellm.RateLimitError: AnthropicException - {"type":"rate_limit_error"}) by dynamically adjusting the rate of requests based on the current usage and limit thresholds provided in the API response headers.

Problem Statement:
Currently, the application may encounter rate limit errors when the number of request tokens exceeds the daily limit set by Anthropic. This results in unexpected interruptions to agent functionality, causing users to experience downtime and delays. Users are unable to continue their workflows smoothly and are often unaware of their current usage until the error occurs.

Proposed Solution:
The solution involves implementing a user-side rate limiter that will:

1. Track the current request token usage by parsing the rate limit information from the response headers.
2. Dynamically throttle or queue requests based on the remaining available tokens, thereby preventing unexpected rate limit errors.
3. Provide feedback to the user (e.g., estimated time to send the next request or current usage vs. limit status) to inform them of their current API usage.

Feature Details:

1. Usage Tracking: Monitor the rate limit status in real time by reading the response headers after each request. Store the current request token count and limit for efficient tracking.
2. Adaptive Throttling: When the token count approaches the limit, reduce the request frequency to avoid hitting the daily threshold. Use an exponential backoff approach when the usage is close to the limit.
3. Queue Management: Allow queued requests when the limit is reached, holding them until more tokens become available.
4. User Feedback: Provide the user with information about the current rate limit status, including the number of remaining tokens and an estimated time for when the next request can be sent.

Benefits:

• Prevents Interruptions: Avoids sudden errors by proactively managing request rates.
• Optimized API Usage: Efficiently manages requests to maximize usage within the rate limit.
• Enhanced User Experience: Informs users about their current usage and gives them control over request timing.

Potential Challenges:

• Complexity in Queue Management: Managing queued requests efficiently may introduce additional logic for handling request timing and sequence.
• Latency Considerations: Throttling may lead to slightly increased response times, but this is offset by the prevention of abrupt errors.