refactor(ai): 优化上下文管理逻辑，添加请求频率限制和上下文持续时间检查
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90e51bc485
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3 changed files with 99 additions and 31 deletions
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@ -57,12 +57,12 @@ func checkRequestFrequency(rdb *redis.Client, groupID string, qqID string) bool
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}
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// 添加对话到上下文，超过5条则删除所有上下文
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func addToContext(rdb *redis.Client, groupID string, qqID string, message string) {
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func addToContext(rdb *redis.Client, groupID string, qqID string, message string, context int64) {
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key := fmt.Sprintf("context:%s:%s", groupID, qqID)
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// 如果上下文超过5条，删除所有上下文
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listLength := rdb.LLen(ctx, key).Val()
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if listLength > 5 {
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if listLength > context {
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rdb.Del(ctx, key) // 删除该用户的所有上下文
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}
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rdb.RPush(ctx, key, message) // 添加新消息到列表
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@ -85,23 +85,23 @@ func main() {
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qqID := "67890"
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rdb := initRedis()
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OPENAI_API_KEY, OPENAI_BaseURL, MODEL := tools.GetOAIConfig()
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OPENAI_API_KEY, OPENAI_BaseURL, MODEL, PROMPT, CONTEXT := tools.GetOAIConfig()
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oaiconfig := openai.DefaultConfig(OPENAI_API_KEY)
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oaiconfig.BaseURL = OPENAI_BaseURL
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client := openai.NewClientWithConfig(oaiconfig)
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messages := make([]openai.ChatCompletionMessage, 0)
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messages = append(messages, openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleUser,
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Content: PROMPT,
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})
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reader := bufio.NewReader(os.Stdin)
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fmt.Println("Conversation")
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fmt.Println("---------------------")
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for {
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fmt.Print("-> ")
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// 检查请求频率
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if !checkRequestFrequency(rdb, groupID, qqID) {
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// fmt.Println("请求太频繁，请稍后再试。")
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return
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}
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text, _ := reader.ReadString('\n')
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// convert CRLF to LF
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text = strings.Replace(text, "\n", "", -1)
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@ -110,9 +110,13 @@ func main() {
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Role: openai.ChatMessageRoleUser,
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Content: text,
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})
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// 输出 messages 的内容
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for i, msg := range messages {
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fmt.Printf("Message %d: Role: %s, Content: %s\n", i, msg.Role, msg.Content)
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}
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resp, err := client.CreateChatCompletion(
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ctx,
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context.Background(),
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openai.ChatCompletionRequest{
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Model: MODEL,
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Messages: messages,
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@ -130,10 +134,15 @@ func main() {
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Content: content,
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})
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// 添加新消息到上下文
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addToContext(rdb, groupID, qqID, text)
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addToContext(rdb, groupID, qqID, text, CONTEXT)
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fmt.Println(content)
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fmt.Println("---------------------")
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// 检查请求频率
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if !checkRequestFrequency(rdb, groupID, qqID) {
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// fmt.Println("请求太频繁，请稍后再试。")
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return
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}
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fmt.Println(getContext(rdb, "context:"+groupID+":"+qqID))
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}
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}
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@ -6,6 +6,7 @@ import (
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"go-bot/config"
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"log"
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"sync"
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"time"
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"github.com/go-redis/redis/v8"
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)
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@ -49,18 +50,43 @@ func GetRedisClient() *redis.Client {
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}
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// 添加对话到上下文，超过5条则删除所有上下文
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func AddToContext(key string, message string, contextlenth int64) {
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func AddToContext(key string, message []byte, contextlenth int64) {
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// key := fmt.Sprintf("context:%s:%s:%s", worker, groupID, qqID)
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// 检查上下文持续时间，如果大于一小时就删除所有列表
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lastRequestKey := fmt.Sprintf("last_request:%s", key)
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now := time.Now().Unix()
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exists, err := CheckKeyExists(lastRequestKey)
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if err != nil || !exists {
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log.Println("检查键是否存在时出错:", err)
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rdb.Del(ctx, key)
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rdb.Set(ctx, lastRequestKey, fmt.Sprintf("%d", now), 60*time.Minute)
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}
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// 如果上下文超过5条，删除所有上下文
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listLength := GetListLength(key)
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// log.Println("listLength:", listLength)
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if listLength >= contextlenth {
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if listLength >= contextlenth*2 {
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rdb.Del(ctx, key) // 删除该用户的所有上下文
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}
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rdb.RPush(ctx, key, message) // 添加新消息到列表
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}
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// 检查请求频率，10秒内只能请求一次
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func CheckRequestFrequency(GID string, UID string, interval int64) bool {
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key := fmt.Sprintf("time_interval:%s:%s", GID, UID)
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// lastRequest, err := rdb.Get(ctx, key).Int64()
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exists, err := CheckKeyExists(key)
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if err != nil || !exists {
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// log.Println("检查键是否存在时出错:", err)
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rdb.Set(ctx, key, fmt.Sprintf("%d", time.Now().Unix()), time.Duration(interval)*time.Second)
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return true
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}
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return false // 频率超限，拒绝请求
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}
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// getListLength 获取列表长度
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func GetListLength(key string) int64 {
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return rdb.LLen(ctx, key).Val()
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@ -3,6 +3,7 @@ package workers
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import (
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"context"
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"encoding/base64"
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"encoding/json"
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"fmt"
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"go-bot/tools"
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@ -62,38 +63,55 @@ func (a *AI) GetMsg() string {
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redisClient := tools.GetRedisClient()
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// 如果redisClient不为空，则获取上下文
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if redisClient != nil {
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// 限制请求频率
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if !tools.CheckRequestFrequency(a.GID, a.UID, 10) {
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log.Printf("请求过于频繁。\n")
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return "请求过于频繁。"
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}
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key = fmt.Sprintf("context:%s:%s:%s", "ai", a.GID, a.UID)
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// 获取上下文
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message := openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleUser,
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Content: a.RawMsg[strings.Index(a.RawMsg, " ")+1:],
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}
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// 序列化为 JSON 字符串
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jsonMessage, err := json.Marshal(message)
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if err != nil {
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log.Println("序列化错误:", err)
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log.Println("存储的 JSON 字符串:", string(jsonMessage))
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tools.AddToContext(key, a.RawMsg[strings.Index(a.RawMsg, " ")+1:], CONTEXT)
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return "序列化错误"
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}
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tools.AddToContext(key, jsonMessage, CONTEXT)
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// }
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// println("RawMsg:", a.RawMsg[strings.Index(a.RawMsg, " ")+1:])
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length := tools.GetListLength(key)
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if length > 0 {
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for i := 0; i < int(length); i++ {
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message, err := tools.GetListValue(key, int64(i))
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if err != nil {
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log.Println("获取上下文失败:", err)
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return "获取上下文失败"
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}
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messages = append(messages, openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleUser,
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Content: message,
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})
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// if length > 0 {
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for i := 0; i < int(length); i++ {
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message, err := tools.GetListValue(key, int64(i))
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if err != nil {
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log.Println("获取上下文失败:", err)
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return "获取上下文失败"
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}
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} else {
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messages = append(messages, openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleUser,
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Content: a.RawMsg[strings.Index(a.RawMsg, " ")+1:],
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})
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}
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log.Println("读取的 JSON 字符串:", message)
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var msg openai.ChatCompletionMessage
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err = json.Unmarshal([]byte(message), &msg)
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if err != nil {
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log.Println("反序列化错误:", err)
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return "反序列化错误"
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}
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messages = append(messages, msg)
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}
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} else {
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messages = append(messages, openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleUser,
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Content: a.RawMsg[strings.Index(a.RawMsg, " ")+1:],
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})
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}
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// println("messages:", messages)
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// for i, msg := range messages {
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@ -116,7 +134,22 @@ func (a *AI) GetMsg() string {
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return "请求失败"
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}
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// println(resp.Choices[0].Message.Content)
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return msg + stripMarkdown(resp.Choices[0].Message.Content)
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content := resp.Choices[0].Message.Content
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if redisClient != nil {
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message := openai.ChatCompletionMessage{
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Role: openai.ChatMessageRoleAssistant,
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Content: stripMarkdown(content)}
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// 序列化为 JSON 字符串
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jsonMessage, err := json.Marshal(message)
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if err != nil {
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log.Println("Assistant消息序列化错误:", err)
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return "Assistant消息序列化错误"
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}
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tools.AddToContext(key, jsonMessage, CONTEXT)
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}
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return msg + stripMarkdown(content)
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} else {
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// 匹配回复消息
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pattern := `^\[CQ:reply,id=(-?\d+)\]`
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