Chen-BUPT commented on code in PR #878:
URL: https://github.com/apache/dubbo-go-pixiu/pull/878#discussion_r2779261552


##########
pkg/filter/ai/kvcache/token_manager.go:
##########
@@ -0,0 +1,305 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package kvcache
+
+import (
+       "context"
+       "crypto/sha256"
+       "encoding/hex"
+       "encoding/json"
+       "fmt"
+       "strings"
+       "sync"
+       "sync/atomic"
+       "time"
+)
+
+import (
+       "github.com/go-resty/resty/v2"
+)
+
+type TokenManager struct {
+       httpClient     *resty.Client
+       endpoint       string
+       cache          sync.Map
+       config         TokenCacheConfig
+       circuitBreaker *CircuitBreaker
+
+       cacheSize int64
+       hitCount  int64
+       missCount int64
+
+       hotWindow time.Duration
+       hotMax    int
+       hotMu     sync.Mutex
+       hotMap    map[string][]time.Time
+}
+
+type TokenizeRequest struct {
+       Model  string `json:"model,omitempty"`
+       Prompt string `json:"prompt"`
+}
+
+type TokenizeResponse struct {
+       Count  int   `json:"count"`
+       Tokens []int `json:"tokens"`
+       MaxLen int   `json:"max_model_len"`
+}
+
+type tokenCacheEntry struct {
+       tokens    []int
+       expiresAt time.Time
+}
+
+func NewTokenManager(endpoint string, httpClient *resty.Client, cfg 
TokenCacheConfig, cb *CircuitBreaker, hotWindow time.Duration, hotMax int) 
*TokenManager {
+       return &TokenManager{
+               httpClient:     httpClient,
+               endpoint:       endpoint,
+               config:         cfg,
+               circuitBreaker: cb,
+               hotWindow:      hotWindow,
+               hotMax:         hotMax,
+               hotMap:         make(map[string][]time.Time),
+       }
+}
+
+func (tm *TokenManager) GetTokens(ctx context.Context, model string, prompt 
string, rawBody []byte) ([]int, error) {
+       cacheKey := tm.cacheKey(model, prompt)
+       if tm.config.Enabled {
+               if tokens, ok := tm.loadCache(cacheKey); ok {
+                       atomic.AddInt64(&tm.hitCount, 1)
+                       return tokens, nil
+               }
+               atomic.AddInt64(&tm.missCount, 1)
+       }
+
+       tokens, err := tm.tokenize(ctx, model, prompt, rawBody)
+       if err != nil {
+               return nil, err
+       }
+
+       if tm.config.Enabled {
+               tm.storeCache(cacheKey, tokens)
+       }
+       return tokens, nil
+}
+
+func (tm *TokenManager) GetCachedTokens(model string, prompt string) ([]int, 
bool) {
+       if !tm.config.Enabled {
+               return nil, false
+       }
+       cacheKey := tm.cacheKey(model, prompt)
+       tokens, ok := tm.loadCache(cacheKey)
+       if ok {
+               atomic.AddInt64(&tm.hitCount, 1)
+       } else {
+               atomic.AddInt64(&tm.missCount, 1)
+       }
+       return tokens, ok
+}
+
+func (tm *TokenManager) InvalidateCache(model string, prompt string) {
+       cacheKey := tm.cacheKey(model, prompt)
+       tm.deleteCache(cacheKey)
+}
+
+func (tm *TokenManager) GetCacheStats() CacheStats {
+       size := atomic.LoadInt64(&tm.cacheSize)
+       hit := atomic.LoadInt64(&tm.hitCount)
+       miss := atomic.LoadInt64(&tm.missCount)
+       total := hit + miss
+       var hitRate float64
+       if total > 0 {
+               hitRate = float64(hit) / float64(total)
+       }
+       return CacheStats{
+               Size:      int(size),
+               HitRate:   hitRate,
+               HitCount:  hit,
+               MissCount: miss,
+       }
+}
+
+func (tm *TokenManager) tokenize(ctx context.Context, model string, prompt 
string, rawBody []byte) ([]int, error) {
+       var tokens []int
+       err := tm.execute(ctx, func() error {
+               body, err := tm.buildTokenizeBody(model, prompt, rawBody)
+               if err != nil {
+                       return err
+               }
+               resp, err := tm.doTokenizeRequest(ctx, body)
+               if err != nil {
+                       return err
+               }
+               tokens = resp.Tokens
+               return nil
+       })
+       if err != nil {
+               return nil, err
+       }
+       return tokens, nil
+}
+
+func (tm *TokenManager) buildTokenizeBody(model string, prompt string, rawBody 
[]byte) (any, error) {
+       if len(rawBody) > 0 {
+               return rawBody, nil
+       }
+       return TokenizeRequest{Model: model, Prompt: prompt}, nil
+}
+
+func (tm *TokenManager) doTokenizeRequest(ctx context.Context, body any) 
(*TokenizeResponse, error) {

Review Comment:
   因为向下游进行智能路由等操作需要prompt对应的token 这里选择向推理引擎发/tokenizer请求来获得token



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