feat(aichat): agent add memory

This commit is contained in:
源文雨
2026-01-03 23:36:49 +08:00
parent 91d512498d
commit 57c41a7db2
11 changed files with 512 additions and 922 deletions

View File

@@ -1,18 +1,14 @@
// Package aichat OpenAI聊天和群聊总结
// Package aichat 大模型聊天和Agent
package aichat
import (
"encoding/json"
"math/rand"
"strconv"
"strings"
"time"
"github.com/fumiama/deepinfra"
"github.com/fumiama/deepinfra/model"
goba "github.com/fumiama/go-onebot-agent"
"github.com/sirupsen/logrus"
"github.com/tidwall/gjson"
zero "github.com/wdvxdr1123/ZeroBot"
"github.com/wdvxdr1123/ZeroBot/extension/single"
@@ -23,7 +19,6 @@ import (
ctrl "github.com/FloatTech/zbpctrl"
"github.com/FloatTech/zbputils/chat"
"github.com/FloatTech/zbputils/control"
"github.com/FloatTech/zbputils/ctxext"
)
var (
@@ -31,27 +26,8 @@ var (
en = control.AutoRegister(&ctrl.Options[*zero.Ctx]{
DisableOnDefault: false,
Extra: control.ExtraFromString("aichat"),
Brief: "OpenAI聊天",
Help: "- 设置AI聊天触发概率10\n" +
"- 设置AI聊天温度80\n" +
"- 设置AI聊天(|识图|Agent)接口类型[OpenAI|OLLaMA|GenAI]\n" +
"- 设置AI聊天(不)使用Agent模式\n" +
"- 设置AI聊天(不)支持系统提示词\n" +
"- 设置AI聊天(|识图|Agent)接口地址https://api.siliconflow.cn/v1/chat/completions\n" +
"- 设置AI聊天(|识图|Agent)密钥xxx\n" +
"- 设置AI聊天(|识图|Agent)模型名Qwen/Qwen3-8B\n" +
"- 查看AI聊天系统提示词\n" +
"- 重置AI聊天系统提示词\n" +
"- 设置AI聊天系统提示词xxx\n" +
"- 设置AI聊天分隔符</think>(留空则清除)\n" +
"- 设置AI聊天(不)响应AT\n" +
"- 设置AI聊天最大长度4096\n" +
"- 设置AI聊天TopP 0.9\n" +
"- 设置AI聊天(不)以AI语音输出\n" +
"- 查看AI聊天配置\n" +
"- 重置AI聊天\n" +
"- 群聊总结 [消息数目]|群聊总结 1000\n" +
"- /gpt [内容] (使用大模型聊天)\n",
Brief: "大模型聊天和Agent",
Help: "- (随意聊天, 概率匹配)",
PrivateDataFolder: "aichat",
}).ApplySingle(single.New(
@@ -66,46 +42,50 @@ var (
)
var (
limit = ctxext.NewLimiterManager(time.Second*30, 1)
fastfailnorecord = false
)
func init() {
en.OnMessage(ensureconfig, func(ctx *zero.Ctx) bool {
en.OnMessage(chat.EnsureConfig, func(ctx *zero.Ctx) bool {
gid := ctx.Event.GroupID
if gid == 0 {
gid = -ctx.Event.UserID
}
stor, err := newstorage(ctx, gid)
if err != nil {
logrus.Warnln("ERROR: ", err)
stor, ok := ctx.State[zero.StateKeyPrefixKeep+"aichatcfg_stor__"].(chat.Storage)
if !ok {
logrus.Warnln("ERROR: cannot get stor")
return false
}
ctx.State["__aichat_stor__"] = stor
return ctx.ExtractPlainText() != "" &&
(!stor.noreplyat() || (stor.noreplyat() && !ctx.Event.IsToMe))
if !(ctx.ExtractPlainText() != "" &&
(!stor.NoReplyAt() || (stor.NoReplyAt() && !ctx.Event.IsToMe))) {
return false
}
rate := stor.Rate()
if !ctx.Event.IsToMe && rand.Intn(100) >= int(rate) {
return false
}
if chat.AC.Key == "" {
logrus.Warnln("ERROR: get extra err: empty key")
return false
}
if ctx.Event.IsToMe {
ctx.Block()
}
return true
}).SetBlock(false).Handle(func(ctx *zero.Ctx) {
gid := ctx.Event.GroupID
if gid == 0 {
gid = -ctx.Event.UserID
}
stor := ctx.State["__aichat_stor__"].(storage)
rate := stor.rate()
if !ctx.Event.IsToMe && rand.Intn(100) >= int(rate) {
return
}
if ctx.Event.IsToMe {
ctx.Block()
}
if cfg.Key == "" {
logrus.Warnln("ERROR: get extra err: empty key")
return
}
temperature := stor.temp()
topp, maxn := cfg.mparams()
stor := ctx.State[zero.StateKeyPrefixKeep+"aichatcfg_stor__"].(chat.Storage)
temperature := stor.Temp()
topp, maxn := chat.AC.MParams()
if !stor.noagent() && cfg.AgentAPI != "" && cfg.AgentModelName != "" {
x := deepinfra.NewAPI(cfg.AgentAPI, string(cfg.AgentKey))
mod, err := cfg.Type.protocol(cfg.AgentModelName, temperature, topp, maxn)
logrus.Debugln("[aichat] agent mode test: noagent", stor.NoAgent(), "hasapi", chat.AC.AgentAPI != "", "hasmodel", chat.AC.AgentModelName != "")
if !stor.NoAgent() && chat.AC.AgentAPI != "" && chat.AC.AgentModelName != "" {
logrus.Debugln("[aichat] enter agent mode")
x := deepinfra.NewAPI(chat.AC.AgentAPI, string(chat.AC.AgentKey))
mod, err := chat.AC.Type.Protocol(chat.AC.AgentModelName, temperature, topp, maxn)
if err != nil {
logrus.Warnln("ERROR: ", err)
return
@@ -117,24 +97,35 @@ func init() {
role = goba.PermRoleOwner
}
}
ag := chat.AgentOf(ctx.Event.SelfID)
if cfg.ImageAPI != "" && !ag.CanViewImage() {
mod, err := cfg.ImageType.protocol(cfg.ImageModelName, temperature, topp, maxn)
c, ok := ctx.State["manager"].(*ctrl.Control[*zero.Ctx])
if !ok {
logrus.Warnln("ERROR: cannot get ctrl mamager")
}
ag := chat.AgentOf(ctx.Event.SelfID, c.Service)
logrus.Debugln("[aichat] got agent")
if chat.AC.ImageAPI != "" && !ag.CanViewImage() {
mod, err := chat.AC.ImageType.Protocol(chat.AC.ImageModelName, temperature, topp, maxn)
if err != nil {
logrus.Warnln("ERROR: ", err)
return
}
ag.SetViewImageAPI(deepinfra.NewAPI(cfg.ImageAPI, string(cfg.ImageKey)), mod)
ag.SetViewImageAPI(deepinfra.NewAPI(chat.AC.ImageAPI, string(chat.AC.ImageKey)), mod)
logrus.Debugln("[aichat] agent set img")
}
ctx.NoTimeout()
logrus.Debugln("[aichat] agent set no timeout")
hasresp := false
for i := 0; i < 8; i++ { // 最大运行 8 轮因为问答上下文只有 16
reqs := chat.CallAgent(ag, zero.SuperUserPermission(ctx), x, mod, gid, role)
if len(reqs) == 0 {
logrus.Debugln("[aichat] agent call got empty response")
break
}
hasresp = true
for _, req := range reqs {
if req.Action == goba.SVM { // is a fake action
continue
}
resp := ctx.CallAction(req.Action, req.Params)
logrus.Infoln("[aichat] agent get resp:", reqs)
ag.AddResponse(gid, &goba.APIResponse{
@@ -147,19 +138,19 @@ func init() {
}
}
if hasresp {
ag.AddTerminus(gid)
return
}
// no response, fall back to normal chat
logrus.Debugln("[aichat] agent fell back to normal chat")
}
x := deepinfra.NewAPI(cfg.API, string(cfg.Key))
mod, err := cfg.Type.protocol(cfg.ModelName, temperature, topp, maxn)
x := deepinfra.NewAPI(chat.AC.API, string(chat.AC.Key))
mod, err := chat.AC.Type.Protocol(chat.AC.ModelName, temperature, topp, maxn)
if err != nil {
logrus.Warnln("ERROR: ", err)
return
}
data, err := x.Request(chat.GetChatContext(mod, gid, cfg.SystemP, bool(cfg.NoSystemP)))
data, err := x.Request(chat.GetChatContext(mod, gid, chat.AC.SystemP, bool(chat.AC.NoSystemP)))
if err != nil {
logrus.Warnln("[aichat] post err:", err)
return
@@ -182,7 +173,7 @@ func init() {
logrus.Infoln("[aichat] 回复内容:", t)
recCfg := airecord.GetConfig()
record := ""
if !fastfailnorecord && !stor.norecord() {
if !fastfailnorecord && !stor.NoRecord() {
record = ctx.GetAIRecord(recCfg.ModelID, recCfg.Customgid, t)
if record != "" {
ctx.SendChain(message.Record(record))
@@ -199,293 +190,4 @@ func init() {
}
}
})
en.OnPrefix("设置AI聊天触发概率", zero.AdminPermission).SetBlock(true).
Handle(ctxext.NewStorageSaveBitmapHandler(bitmaprate, 0, 100))
en.OnPrefix("设置AI聊天温度", zero.AdminPermission).SetBlock(true).
Handle(ctxext.NewStorageSaveBitmapHandler(bitmaptemp, 0, 100))
en.OnPrefix("设置AI聊天接口类型", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetmodeltype(&cfg.Type))
en.OnPrefix("设置AI聊天识图接口类型", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetmodeltype(&cfg.ImageType))
en.OnPrefix("设置AI聊天Agent接口类型", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetmodeltype(&cfg.AgentType))
en.OnPrefix("设置AI聊天接口地址", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.API))
en.OnPrefix("设置AI聊天识图接口地址", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.ImageAPI))
en.OnPrefix("设置AI聊天Agent接口地址", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.AgentAPI))
en.OnPrefix("设置AI聊天密钥", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.Key))
en.OnPrefix("设置AI聊天识图密钥", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.ImageKey))
en.OnPrefix("设置AI聊天Agent密钥", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.AgentKey))
en.OnPrefix("设置AI聊天模型名", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.ModelName))
en.OnPrefix("设置AI聊天识图模型名", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.ImageModelName))
en.OnPrefix("设置AI聊天Agent模型名", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.AgentModelName))
en.OnPrefix("设置AI聊天系统提示词", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.SystemP))
en.OnFullMatch("查看AI聊天系统提示词", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).Handle(func(ctx *zero.Ctx) {
ctx.SendChain(message.Text(cfg.SystemP))
})
en.OnFullMatch("重置AI聊天系统提示词", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).Handle(func(ctx *zero.Ctx) {
c, ok := ctx.State["manager"].(*ctrl.Control[*zero.Ctx])
if !ok {
ctx.SendChain(message.Text("ERROR: no such plugin"))
return
}
cfg.SystemP = chat.SystemPrompt
err := c.SetExtra(&cfg)
if err != nil {
ctx.SendChain(message.Text("ERROR: set extra err: ", err))
return
}
ctx.SendChain(message.Text("成功"))
})
en.OnPrefix("设置AI聊天分隔符", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetstr(&cfg.Separator))
en.OnRegex("^设置AI聊天(不)?响应AT$", ensureconfig, zero.SuperUserPermission).SetBlock(true).
Handle(ctxext.NewStorageSaveBoolHandler(bitmapnrat))
en.OnRegex("^设置AI聊天(不)?支持系统提示词$", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetbool(&cfg.NoSystemP))
en.OnRegex("^设置AI聊天(不)?使用Agent模式$", ensureconfig, zero.SuperUserPermission).SetBlock(true).
Handle(ctxext.NewStorageSaveBoolHandler(bitmapnagt))
en.OnPrefix("设置AI聊天最大长度", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetuint(&cfg.MaxN))
en.OnPrefix("设置AI聊天TopP", ensureconfig, zero.OnlyPrivate, zero.SuperUserPermission).SetBlock(true).
Handle(newextrasetfloat32(&cfg.TopP))
en.OnRegex("^设置AI聊天(不)?以AI语音输出$", ensureconfig, zero.AdminPermission).SetBlock(true).
Handle(ctxext.NewStorageSaveBoolHandler(bitmapnrec))
en.OnFullMatch("查看AI聊天配置", ensureconfig, zero.SuperUserPermission).SetBlock(true).
Handle(func(ctx *zero.Ctx) {
gid := ctx.Event.GroupID
if gid == 0 {
gid = -ctx.Event.UserID
}
stor, err := newstorage(ctx, gid)
if err != nil {
ctx.SendChain(message.Text("ERROR: ", err))
return
}
ctx.SendChain(
message.Text(
"【当前AI聊天本群配置】\n",
"• 触发概率:", int(stor.rate()), "\n",
"• 温度:", stor.temp(), "\n",
"• 以AI语音输出", ModelBool(!stor.norecord()), "\n",
"• 使用Agent", ModelBool(!stor.noagent()), "\n",
"• 响应@", ModelBool(!stor.noreplyat()), "\n",
),
message.Text("【当前AI聊天全局配置】\n", &cfg),
)
})
en.OnFullMatch("重置AI聊天", ensureconfig, zero.SuperUserPermission).SetBlock(true).Handle(func(ctx *zero.Ctx) {
chat.ResetChat()
ctx.SendChain(message.Text("成功"))
})
// 添加群聊总结功能
en.OnRegex(`^群聊总结\s?(\d*)$`, ensureconfig, zero.OnlyGroup, zero.AdminPermission).SetBlock(true).Limit(limit.LimitByGroup).Handle(func(ctx *zero.Ctx) {
ctx.SendChain(message.Text("少女思考中..."))
gid := ctx.Event.GroupID
if gid == 0 {
gid = -ctx.Event.UserID
}
p, _ := strconv.ParseInt(ctx.State["regex_matched"].([]string)[1], 10, 64)
if p > 1000 {
p = 1000
}
if p == 0 {
p = 200
}
group := ctx.GetGroupInfo(gid, false)
if group.MemberCount == 0 {
ctx.SendChain(message.Text(zero.BotConfig.NickName[0], "未加入", group.Name, "(", gid, "),无法获取总结"))
return
}
var messages []string
h := ctx.GetGroupMessageHistory(gid, 0, p, false)
h.Get("messages").ForEach(func(_, msgObj gjson.Result) bool {
nickname := msgObj.Get("sender.nickname").Str
text := strings.TrimSpace(message.ParseMessageFromString(msgObj.Get("raw_message").Str).ExtractPlainText())
if text != "" {
messages = append(messages, nickname+": "+text)
}
return true
})
if len(messages) == 0 {
ctx.SendChain(message.Text("ERROR: 历史消息为空或者无法获得历史消息"))
return
}
// 构造总结请求提示 (使用通用版省流提示词)
// 使用反引号定义多行字符串,更清晰
promptTemplate := `请对以下群聊对话进行【极简总结】。
要求:
1. 剔除客套与废话,直击主题。
2. 使用 Markdown 列表格式。
3. 按以下结构输出:
- 🎯 核心议题:(一句话概括)
- 💡 关键观点/结论:(提取3-5个重点)
- ✅ 下一步/待办:(如果有,明确谁做什么)
群聊对话内容如下:
`
summaryPrompt := promptTemplate + strings.Join(messages, "\n")
stor, err := newstorage(ctx, gid)
if err != nil {
ctx.SendChain(message.Text("ERROR: ", err))
return
}
// 调用大模型API进行总结
summary, err := llmchat(summaryPrompt, stor.temp())
if err != nil {
ctx.SendChain(message.Text("ERROR: ", err))
return
}
var b strings.Builder
b.WriteString("群 ")
b.WriteString(group.Name)
b.WriteByte('(')
b.WriteString(strconv.FormatInt(gid, 10))
b.WriteString(") 的 ")
b.WriteString(strconv.FormatInt(p, 10))
b.WriteString(" 条消息总结:\n\n")
b.WriteString(summary)
// 分割总结内容为多段按1000字符长度切割
summaryText := b.String()
msg := make(message.Message, 0)
for len(summaryText) > 0 {
if len(summaryText) <= 1000 {
msg = append(msg, ctxext.FakeSenderForwardNode(ctx, message.Text(summaryText)))
break
}
// 查找1000字符内的最后一个换行符尽量在换行处分割
chunk := summaryText[:1000]
lastNewline := strings.LastIndex(chunk, "\n")
if lastNewline > 0 {
chunk = summaryText[:lastNewline+1]
}
msg = append(msg, ctxext.FakeSenderForwardNode(ctx, message.Text(chunk)))
summaryText = summaryText[len(chunk):]
}
if len(msg) > 0 {
ctx.Send(msg)
}
})
// 添加 /gpt 命令处理(同时支持回复消息和直接使用)
en.OnKeyword("/gpt", ensureconfig).SetBlock(true).Handle(func(ctx *zero.Ctx) {
gid := ctx.Event.GroupID
if gid == 0 {
gid = -ctx.Event.UserID
}
text := ctx.MessageString()
var query string
var replyContent string
// 检查是否是回复消息 (使用MessageElement检查而不是CQ码)
for _, elem := range ctx.Event.Message {
if elem.Type == "reply" {
// 提取被回复的消息ID
replyIDStr := elem.Data["id"]
replyID, err := strconv.ParseInt(replyIDStr, 10, 64)
if err == nil {
// 获取被回复的消息内容
replyMsg := ctx.GetMessage(replyID)
if replyMsg.Elements != nil {
replyContent = replyMsg.Elements.ExtractPlainText()
}
}
break // 找到回复元素后退出循环
}
}
// 提取 /gpt 后面的内容
parts := strings.SplitN(text, "/gpt", 2)
var gContent string
if len(parts) > 1 {
gContent = strings.TrimSpace(parts[1])
}
// 组合内容:优先使用回复内容,如果同时有/gpt内容则拼接
switch {
case replyContent != "" && gContent != "":
query = replyContent + "\n" + gContent
case replyContent != "":
query = replyContent
case gContent != "":
query = gContent
default:
return
}
stor, err := newstorage(ctx, gid)
if err != nil {
ctx.SendChain(message.Text("ERROR: ", err))
return
}
// 调用大模型API进行聊天
reply, err := llmchat(query, stor.temp())
if err != nil {
ctx.SendChain(message.Text("ERROR: ", err))
return
}
// 分割总结内容为多段按1000字符长度切割
msg := make(message.Message, 0)
for len(reply) > 0 {
if len(reply) <= 1000 {
msg = append(msg, ctxext.FakeSenderForwardNode(ctx, message.Text(reply)))
break
}
// 查找1000字符内的最后一个换行符尽量在换行处分割
chunk := reply[:1000]
lastNewline := strings.LastIndex(chunk, "\n")
if lastNewline > 0 {
chunk = reply[:lastNewline+1]
}
msg = append(msg, ctxext.FakeSenderForwardNode(ctx, message.Text(chunk)))
reply = reply[len(chunk):]
}
if len(msg) > 0 {
ctx.Send(msg)
}
})
}
// llmchat 调用大模型API包装
func llmchat(prompt string, temp float32) (string, error) {
topp, maxn := cfg.mparams()
x := deepinfra.NewAPI(cfg.API, string(cfg.Key))
mod, err := cfg.Type.protocol(cfg.ModelName, temp, topp, maxn)
if err != nil {
return "", nil
}
data, err := x.Request(mod.User(model.NewContentText(prompt)))
if err != nil {
return "", err
}
return strings.TrimSpace(data), nil
}