Implement Rate Limit Handling for Slack's New API Limits

[PeterDaveHello]

With the new rate limit policies from Slack's May 2025 update (https://api.slack.com/changelog/2025-05-terms-rate-limit-update-and-faq), deployments of this application are susceptible to hitting API rate limits, resulting in HTTP 429 (Too Many Requests) errors.

Since Slack does not provide a way to adjust rate limit tiers, we may need to implement internal controls to ensure the app remains reliable and stable.

Problem

• The app's usage pattern can easily trigger Slack's API rate limits.
• This leads to service disruptions and a poor user experience.

Proposed Solutions

1. Request Throttling:

   • Implement a queue system to manage the rate of outgoing API calls.
   • Introduce a configurable delay between requests.

2. Retry Mechanism:

   • Implement a progressive backoff strategy for retries upon receiving a 429 error (e.g., waiting 1s, then 2s, 3s, 5s, etc.) to effectively manage request frequency.

3. Basic Monitoring:

   • Add logging to track API usage and the frequency of rate limit events, helping administrators understand their instance's load.

Further discussion and suggestions on handling rate limiting are welcome.