Refactor: Optimize the request rate limiting for ModelRequestRateLimitCount.

Reason: The original steps 1 and 3 in the redisRateLimitHandler method were not atomic, leading to poor precision under high concurrent requests. For example, with a rate limit set to 60, sending 200 concurrent requests would result in none being blocked, whereas theoretically around 140 should be intercepted.
Solution: I chose not to merge steps 1 and 3 into a single Lua script because a single atomic operation involving read, write, and delete operations could suffer from performance issues under high concurrency. Instead, I implemented a token bucket algorithm to optimize this, reducing the atomic operation to just read and write steps while significantly decreasing the memory footprint.

middleware/model-rate-limit.go

@@ -5,6 +5,7 @@ import (
 	"fmt"
 	"net/http"
 	"one-api/common"
+	"one-api/common/limiter"
 	"one-api/setting"
 	"strconv"
 	"time"
@@ -78,21 +79,9 @@ func redisRateLimitHandler(duration int64, totalMaxCount, successMaxCount int) g
 		ctx := context.Background()
 		rdb := common.RDB
 
-		// 1. 检查总请求数限制（当totalMaxCount为0时会自动跳过）
-		totalKey := fmt.Sprintf("rateLimit:%s:%s", ModelRequestRateLimitCountMark, userId)
-		allowed, err := checkRedisRateLimit(ctx, rdb, totalKey, totalMaxCount, duration)
-		if err != nil {
-			fmt.Println("检查总请求数限制失败:", err.Error())
-			abortWithOpenAiMessage(c, http.StatusInternalServerError, "rate_limit_check_failed")
-			return
-		}
-		if !allowed {
-			abortWithOpenAiMessage(c, http.StatusTooManyRequests, fmt.Sprintf("您已达到总请求数限制：%d分钟内最多请求%d次，包括失败次数，请检查您的请求是否正确", setting.ModelRequestRateLimitDurationMinutes, totalMaxCount))
-		}
-
-		// 2. 检查成功请求数限制
+		// 1. 检查成功请求数限制
 		successKey := fmt.Sprintf("rateLimit:%s:%s", ModelRequestRateLimitSuccessCountMark, userId)
-		allowed, err = checkRedisRateLimit(ctx, rdb, successKey, successMaxCount, duration)
+		allowed, err := checkRedisRateLimit(ctx, rdb, successKey, successMaxCount, duration)
 		if err != nil {
 			fmt.Println("检查成功请求数限制失败:", err.Error())
 			abortWithOpenAiMessage(c, http.StatusInternalServerError, "rate_limit_check_failed")
@@ -102,9 +91,28 @@ func redisRateLimitHandler(duration int64, totalMaxCount, successMaxCount int) g
 			abortWithOpenAiMessage(c, http.StatusTooManyRequests, fmt.Sprintf("您已达到请求数限制：%d分钟内最多请求%d次", setting.ModelRequestRateLimitDurationMinutes, successMaxCount))
 			return
 		}
+		//检查总请求数限制并记录总请求（当totalMaxCount为0时会自动跳过，使用令牌桶限流器
+		totalKey := fmt.Sprintf("rateLimit:%s", userId)
+		//allowed, err = checkRedisRateLimit(ctx, rdb, totalKey, totalMaxCount, duration)
+		// 初始化
+		tb := limiter.New(ctx, rdb)
+		allowed, err = tb.Allow(
+			ctx,
+			totalKey,
+			limiter.WithCapacity(int64(totalMaxCount)*duration),
+			limiter.WithRate(int64(totalMaxCount)),
+			limiter.WithRequested(duration),
+		)
 
-		// 3. 记录总请求（当totalMaxCount为0时会自动跳过）
-		recordRedisRequest(ctx, rdb, totalKey, totalMaxCount)
+		if err != nil {
+			fmt.Println("检查总请求数限制失败:", err.Error())
+			abortWithOpenAiMessage(c, http.StatusInternalServerError, "rate_limit_check_failed")
+			return
+		}
+
+		if !allowed {
+			abortWithOpenAiMessage(c, http.StatusTooManyRequests, fmt.Sprintf("您已达到总请求数限制：%d分钟内最多请求%d次，包括失败次数，请检查您的请求是否正确", setting.ModelRequestRateLimitDurationMinutes, totalMaxCount))
+		}
 
 		// 4. 处理请求
 		c.Next()