Pull Request Overview

This PR adds LLM (Large Language Model) Token Rate Limiting functionality to sentinel-golang, implementing two rate limiting strategies: Fixed Window and PETA (Predictive Estimated Token Allowance). The feature enables token-based rate limiting for LLM API calls with support for multiple token counting strategies and Redis-based distributed rate limiting.

Key Changes:

• Implements Fixed Window and PETA token rate limiting strategies with Redis backend
• Adds token encoding support (currently OpenAI) for estimating token usage
• Provides adapters for Eino framework integration
• Includes comprehensive example implementation with Gin middleware

Reviewed Changes

Copilot reviewed 69 out of 102 changed files in this pull request and generated 3 comments.

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Overall, the feature functionality is solid with no critical issues (as previously discussed). The rule loading mechanism still needs full alignment with Sentinel's existing datasource architecture. The proposed adjustments can be prioritized in future releases based on your schedule, but could you confirm your plan to proceed or defer them? This implementation is acceptable for the current preview/experimental release phase.