工具路由还没实现
This commit is contained in:
@@ -31,6 +31,7 @@ desktop.ini
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# 项目运行时数据(Windows 测试路径)
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win/etc/
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win/srv/
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win/var/
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# 数据库文件
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*.db
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+10
-3
@@ -18,11 +18,17 @@ import (
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"gorm.io/gorm"
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)
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// SystemPromptStore is the interface for getting the system prompt
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type SystemPromptStore interface {
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GetLLMPrimaryConfigSystemPrompt() (string, error)
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}
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// Config holds the AI service configuration
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type Config struct {
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LLMProviders []llm.ProviderConfig
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DataDir string
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Enabled bool
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LLMProviders []llm.ProviderConfig
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DataDir string
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Enabled bool
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SystemPromptStore SystemPromptStore
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}
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// Service manages all AI-related components
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@@ -91,6 +97,7 @@ func NewService(cfg Config, db *gorm.DB, botSender autoreply.BotSender) (*Servic
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convStore,
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msgQueue,
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botSender,
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cfg.SystemPromptStore,
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)
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return &Service{
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+19
-8
@@ -7,22 +7,33 @@ import (
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// BotServiceAdapter adapts the bot service to the BotSender interface
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type BotServiceAdapter struct {
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sendTextFn func(ctx context.Context, botID uint64, toNodeNum int64, text string) error
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sendDirectTextFn func(ctx context.Context, botID uint64, toNodeNum int64, text string) error
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sendChannelTextFn func(ctx context.Context, botID uint64, channelID string, text string) error
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}
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// NewBotServiceAdapter creates a new bot service adapter
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func NewBotServiceAdapter(
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sendTextFn func(ctx context.Context, botID uint64, toNodeNum int64, text string) error,
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sendDirectTextFn func(ctx context.Context, botID uint64, toNodeNum int64, text string) error,
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sendChannelTextFn func(ctx context.Context, botID uint64, channelID string, text string) error,
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) *BotServiceAdapter {
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return &BotServiceAdapter{
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sendTextFn: sendTextFn,
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sendDirectTextFn: sendDirectTextFn,
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sendChannelTextFn: sendChannelTextFn,
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}
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}
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// SendText sends a text message via the bot service
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func (a *BotServiceAdapter) SendText(ctx context.Context, botID uint64, toNodeNum int64, text string) error {
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if a.sendTextFn == nil {
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return fmt.Errorf("send text function is nil")
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// SendDirectText sends a direct/private message to a specific node
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func (a *BotServiceAdapter) SendDirectText(ctx context.Context, botID uint64, toNodeNum int64, text string) error {
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if a.sendDirectTextFn == nil {
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return fmt.Errorf("send direct text function is nil")
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}
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return a.sendTextFn(ctx, botID, toNodeNum, text)
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return a.sendDirectTextFn(ctx, botID, toNodeNum, text)
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}
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// SendChannelText sends a channel message to a specific channel
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func (a *BotServiceAdapter) SendChannelText(ctx context.Context, botID uint64, channelID string, text string) error {
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if a.sendChannelTextFn == nil {
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return fmt.Errorf("send channel text function is nil")
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}
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return a.sendChannelTextFn(ctx, botID, channelID, text)
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}
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@@ -38,6 +38,7 @@ type llmMessageQueueRecord struct {
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PacketID int64 `gorm:"column:packet_id;not null"`
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ChannelID *string `gorm:"column:channel_id"`
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Topic string `gorm:"column:topic;not null"`
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MessageType string `gorm:"column:message_type;not null;default:'direct'"` // "channel" 或 "direct"
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Status string `gorm:"column:status;not null;index"`
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Error string `gorm:"column:error;type:text"`
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Reply string `gorm:"column:reply;type:text"`
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@@ -79,6 +80,7 @@ func (q *DBMessageQueue) GetPendingMessages(botID uint64, limit int) ([]QueuedMe
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PacketID: r.PacketID,
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ChannelID: r.ChannelID,
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Topic: r.Topic,
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MessageType: r.MessageType,
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ReceivedAt: r.ReceivedAt,
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})
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}
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+50
-19
@@ -51,22 +51,32 @@ type QueuedMessage struct {
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PacketID int64
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ChannelID *string
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Topic string
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MessageType string // "channel" 或 "direct"
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ReceivedAt time.Time
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}
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// BotSender is the interface for sending bot messages
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type BotSender interface {
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SendText(ctx context.Context, botID uint64, toNodeNum int64, text string) error
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// SendDirectText 发送私聊消息给指定节点
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SendDirectText(ctx context.Context, botID uint64, toNodeNum int64, text string) error
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// SendChannelText 发送频道消息到指定频道
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SendChannelText(ctx context.Context, botID uint64, channelID string, text string) error
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}
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// SystemPromptStore is the interface for getting the system prompt
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type SystemPromptStore interface {
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GetLLMPrimaryConfigSystemPrompt() (string, error)
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}
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// Service manages automatic AI replies for bots
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type Service struct {
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llmState *llm.State
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toolRouter *toolrouter.State
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toolMgr *toolmanager.Manager
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convStore *conversation.Store
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msgQueue MessageQueue
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botSender BotSender
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llmState *llm.State
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toolRouter *toolrouter.State
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toolMgr *toolmanager.Manager
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convStore *conversation.Store
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msgQueue MessageQueue
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botSender BotSender
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systemPromptStore SystemPromptStore
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running bool
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mu sync.Mutex
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@@ -82,14 +92,16 @@ func NewService(
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convStore *conversation.Store,
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msgQueue MessageQueue,
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botSender BotSender,
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systemPromptStore SystemPromptStore,
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) *Service {
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return &Service{
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llmState: llmState,
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toolRouter: toolRouter,
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toolMgr: toolMgr,
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convStore: convStore,
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msgQueue: msgQueue,
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botSender: botSender,
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llmState: llmState,
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toolRouter: toolRouter,
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toolMgr: toolMgr,
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convStore: convStore,
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msgQueue: msgQueue,
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botSender: botSender,
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systemPromptStore: systemPromptStore,
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}
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}
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@@ -241,13 +253,22 @@ func (s *Service) processMessage(ctx context.Context, msg QueuedMessage) {
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return
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}
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// Get system prompt from primary config
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var systemPrompt string
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if s.systemPromptStore != nil {
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systemPrompt, err = s.systemPromptStore.GetLLMPrimaryConfigSystemPrompt()
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if err != nil {
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printJSON(map[string]any{"event": "llm_system_prompt_warning", "msg_id": msg.ID, "error": err.Error()})
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}
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}
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// Run the tool loop to get augmented messages
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augmentedMessages, err := toolrouter.RunAgentToolLoop(procCtx, s.toolRouter, profile, conv.Messages, s.toolMgr, nil)
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_ = augmentedMessages // We'll use this in the future with proper tool support
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// For now, use simple completion since we don't have tools registered yet
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printJSON(map[string]any{"event": "llm_process_completion_start", "msg_id": msg.ID})
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reply, err := completion.CompleteText(procCtx, profile, conv.Messages, 512)
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printJSON(map[string]any{"event": "llm_process_completion_start", "msg_id": msg.ID, "has_system_prompt": systemPrompt != ""})
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reply, err := completion.CompleteText(procCtx, profile, systemPrompt, conv.Messages, 512)
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if err != nil {
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errMsg := fmt.Sprintf("LLM completion failed: %v", err)
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printJSON(map[string]any{"event": "llm_process_failed", "msg_id": msg.ID, "step": "llm_completion", "error": errMsg})
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@@ -304,10 +325,20 @@ func (s *Service) processMessage(ctx context.Context, msg QueuedMessage) {
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// Non-fatal, continue
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}
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// Send the reply via the bot
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printJSON(map[string]any{"event": "llm_process_send_start", "msg_id": msg.ID, "to_node_num": msg.FromNodeNum})
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if err := s.botSender.SendText(procCtx, msg.BotID, msg.FromNodeNum, reply); err != nil {
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errMsg := fmt.Sprintf("failed to send reply: %v", err)
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// Send the reply via the bot - 根据消息类型决定发送方式
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// 频道消息:回复到原频道;私聊消息:回复给发送节点
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var sendErr error
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if msg.MessageType == "channel" && msg.ChannelID != nil && *msg.ChannelID != "" {
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// 频道消息 - 回复到原频道
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printJSON(map[string]any{"event": "llm_process_send_start", "msg_id": msg.ID, "channel_id": *msg.ChannelID, "message_type": "channel"})
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sendErr = s.botSender.SendChannelText(procCtx, msg.BotID, *msg.ChannelID, reply)
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} else {
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// 私聊消息 - 回复给发送节点
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printJSON(map[string]any{"event": "llm_process_send_start", "msg_id": msg.ID, "to_node_num": msg.FromNodeNum, "message_type": "direct"})
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sendErr = s.botSender.SendDirectText(procCtx, msg.BotID, msg.FromNodeNum, reply)
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}
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if sendErr != nil {
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errMsg := fmt.Sprintf("failed to send reply: %v", sendErr)
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printJSON(map[string]any{"event": "llm_process_failed", "msg_id": msg.ID, "step": "send_reply", "error": errMsg})
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_ = s.msgQueue.MarkAsFailed(msg.ID, errMsg)
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return
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+21
-18
@@ -290,24 +290,27 @@ func insertInboundBotDirectMessage(s *store, record map[string]any, clientInfo m
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}
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_ = clientInfo // mqtt 元数据已经记录在 content_json 里,这里保留参数以保持队列签名一致
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// 同时将消息添加到 LLM 队列
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longName := nullableString(record["long_name"])
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shortName := nullableString(record["short_name"])
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channelID := nullableString(record["channel_id"])
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_, err = s.EnqueueLLMMessage(LLMMessageQueueInput{
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BotID: bot.ID,
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BotNodeID: bot.NodeID,
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BotNodeNum: bot.NodeNum,
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FromNodeID: peerNodeID,
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FromNodeNum: int64(peerNum),
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LongName: longName,
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ShortName: shortName,
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Text: text,
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PacketID: int64(packetID),
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ChannelID: channelID,
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Topic: topic,
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ContentJSON: contentPtr,
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})
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// 同时将消息添加到 LLM 队列(忽略机器人自己发送的消息)
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if peerNodeID != bot.NodeID {
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longName := nullableString(record["long_name"])
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shortName := nullableString(record["short_name"])
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channelID := nullableString(record["channel_id"])
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_, err = s.EnqueueLLMMessage(LLMMessageQueueInput{
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BotID: bot.ID,
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BotNodeID: bot.NodeID,
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BotNodeNum: bot.NodeNum,
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FromNodeID: peerNodeID,
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FromNodeNum: int64(peerNum),
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LongName: longName,
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ShortName: shortName,
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Text: text,
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PacketID: int64(packetID),
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ChannelID: channelID,
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Topic: topic,
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MessageType: "direct",
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ContentJSON: contentPtr,
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})
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}
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if err != nil {
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printJSON(map[string]any{
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"event": "llm_queue_enqueue_failed",
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@@ -3,6 +3,7 @@ package completion
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import (
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"context"
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"fmt"
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"strings"
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"time"
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"meshtastic_mqtt_server/llm"
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@@ -35,12 +36,25 @@ func CompleteChat(ctx context.Context, profile *llm.Profile, req model.CreateCha
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}
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// CompleteText completes a text prompt using conversation messages
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func CompleteText(ctx context.Context, profile *llm.Profile, messages []message.ChatMessage, maxTokens int) (string, error) {
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// If systemPrompt is not empty, it will be added as the first message
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func CompleteText(ctx context.Context, profile *llm.Profile, systemPrompt string, messages []message.ChatMessage, maxTokens int) (string, error) {
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if profile == nil || profile.Client == nil {
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return "", fmt.Errorf("llm profile or client is nil")
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}
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arkMessages := make([]*model.ChatCompletionMessage, 0, len(messages))
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arkMessages := make([]*model.ChatCompletionMessage, 0, len(messages)+1)
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// Add system prompt if provided
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if strings.TrimSpace(systemPrompt) != "" {
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content := &model.ChatCompletionMessageContent{
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StringValue: &systemPrompt,
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}
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arkMessages = append(arkMessages, &model.ChatCompletionMessage{
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Role: "system",
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Content: content,
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})
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}
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for _, msg := range messages {
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content := &model.ChatCompletionMessageContent{
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StringValue: &msg.Content,
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@@ -363,6 +363,7 @@ type llmMessageQueueRecord struct {
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PacketID int64 `gorm:"column:packet_id;not null;index"`
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ChannelID *string `gorm:"column:channel_id"`
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Topic string `gorm:"column:topic;not null"`
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MessageType string `gorm:"column:message_type;not null;default:'direct'"` // "channel" 或 "direct"
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Status string `gorm:"column:status;not null;index"`
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Error string `gorm:"column:error;type:text"`
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Reply string `gorm:"column:reply;type:text"`
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@@ -752,6 +753,12 @@ func migrateBotNodePSK(tx *gorm.DB, migrator gorm.Migrator, driver string) error
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return fmt.Errorf("migrate llm_message_queue reply column: %w", err)
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}
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}
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// 迁移 LLM 消息队列 message_type 列
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if migrator.HasTable(&llmMessageQueueRecord{}) && !migrator.HasColumn(&llmMessageQueueRecord{}, "MessageType") {
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if err := tx.Exec("ALTER TABLE llm_message_queue ADD COLUMN message_type text NOT NULL DEFAULT 'direct'").Error; err != nil {
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return fmt.Errorf("migrate llm_message_queue message_type column: %w", err)
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}
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}
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return nil
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}
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+30
-1
@@ -156,6 +156,20 @@ func (s *store) GetLLMPrimaryConfig() (*llmPrimaryConfigRecord, error) {
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return &record, nil
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}
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// GetLLMPrimaryConfigSystemPrompt 获取主 AI 回复配置中的系统提示词
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// 如果没有配置或出错,返回空字符串(autoreply service 会处理这种情况)
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func (s *store) GetLLMPrimaryConfigSystemPrompt() (string, error) {
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record, err := s.GetLLMPrimaryConfig()
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if err != nil {
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if errors.Is(err, gorm.ErrRecordNotFound) {
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// 没有配置时返回空字符串,使用默认行为
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return "", nil
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}
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return "", err
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}
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return record.SystemPrompt, nil
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}
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// CreateLLMPrimaryConfig 创建主 AI 回复配置
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func (s *store) CreateLLMPrimaryConfig(record *llmPrimaryConfigRecord) error {
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if err := s.db.Create(record).Error; err != nil {
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@@ -206,6 +220,7 @@ type LLMMessageQueueInput struct {
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PacketID int64
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ChannelID *string
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Topic string
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MessageType string // "channel" 或 "direct"
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ContentJSON *string
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}
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@@ -226,6 +241,11 @@ func (s *store) EnqueueLLMMessage(input LLMMessageQueueInput) (*llmMessageQueueR
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return nil, nil // 机器人的 LLM 队列未启用,静默返回
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}
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// 忽略机器人自己发送的消息,避免自循环
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if input.FromNodeID == bot.NodeID {
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return nil, nil
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}
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if input.FromNodeID == "" {
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return nil, fmt.Errorf("from_node_id is required")
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}
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@@ -258,6 +278,10 @@ func (s *store) EnqueueLLMMessage(input LLMMessageQueueInput) (*llmMessageQueueR
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}
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now := time.Now()
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messageType := input.MessageType
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if messageType == "" {
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messageType = "direct"
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}
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record := &llmMessageQueueRecord{
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BotID: input.BotID,
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BotNodeID: input.BotNodeID,
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@@ -270,6 +294,7 @@ func (s *store) EnqueueLLMMessage(input LLMMessageQueueInput) (*llmMessageQueueR
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PacketID: input.PacketID,
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ChannelID: input.ChannelID,
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Topic: input.Topic,
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MessageType: messageType,
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Status: llmMessageStatusPending,
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ReceivedAt: now,
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ContentJSON: input.ContentJSON,
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@@ -450,8 +475,11 @@ func enqueueChannelMessageToLLM(s *store, record map[string]any) error {
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return fmt.Errorf("query bots for channel message enqueue: %w", err)
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}
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// 为每个符合条件的机器人创建一条队列记录
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// 为每个符合条件的机器人创建一条队列记录(忽略机器人自己发送的消息)
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for _, bot := range bots {
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if fromNodeID == bot.NodeID {
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continue
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}
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_, err = s.EnqueueLLMMessage(LLMMessageQueueInput{
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BotID: bot.ID,
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BotNodeID: bot.NodeID,
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@@ -464,6 +492,7 @@ func enqueueChannelMessageToLLM(s *store, record map[string]any) error {
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PacketID: packetID,
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ChannelID: channelID,
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Topic: topic,
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MessageType: "channel",
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ContentJSON: contentPtr,
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})
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if err != nil {
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@@ -272,8 +272,9 @@ func run(cfg *config) error {
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})
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}
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// Create bot sender adapter
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// Create bot sender adapter - 支持频道消息和私聊消息两种发送方式
|
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botSenderAdapter := autoreply.NewBotServiceAdapter(
|
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// SendDirectText: 发送私聊消息
|
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func(ctx context.Context, botID uint64, toNodeNum int64, text string) error {
|
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_, err := botSender.SendText(ctx, botSendTextRequest{
|
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BotID: botID,
|
||||
@@ -283,12 +284,23 @@ func run(cfg *config) error {
|
||||
})
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return err
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},
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||||
// SendChannelText: 发送频道消息
|
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func(ctx context.Context, botID uint64, channelID string, text string) error {
|
||||
_, err := botSender.SendText(ctx, botSendTextRequest{
|
||||
BotID: botID,
|
||||
MessageType: "channel",
|
||||
ChannelID: channelID,
|
||||
Text: text,
|
||||
})
|
||||
return err
|
||||
},
|
||||
)
|
||||
|
||||
aiService, err = ai.NewService(ai.Config{
|
||||
LLMProviders: providerConfigs,
|
||||
DataDir: cfg.DataDir,
|
||||
Enabled: cfg.AI.Enabled,
|
||||
LLMProviders: providerConfigs,
|
||||
DataDir: cfg.DataDir,
|
||||
Enabled: cfg.AI.Enabled,
|
||||
SystemPromptStore: store,
|
||||
}, store.db, botSenderAdapter)
|
||||
if err != nil {
|
||||
fmt.Fprintf(os.Stderr, "Warning: failed to initialize AI service: %v\n", err)
|
||||
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781711397025279500",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!4217495a",
|
||||
"title": "[来自 !8f821aa5] 🌞",
|
||||
"created_at": "2026-06-17T23:49:57.0252795+08:00",
|
||||
"updated_at": "2026-06-17T23:50:03.9827715+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !8f821aa5] 🌞"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好呀!☀️\n\n看到你发来的这个像是系统标识符的字符串,还有那个温暖的太阳表情,感觉像是某种问候或者测试信号?\n\n如果你是想让我解读这个 ..."
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781713830520078500",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 你好",
|
||||
"created_at": "2026-06-18T00:30:30.5200785+08:00",
|
||||
"updated_at": "2026-06-18T00:30:34.3123551+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!很高兴见到你!😊\n\n我是DeepSeek,由深度求索公司创造的AI助手。无论你有什么问题、需要帮助,还是只是想聊聊天,我都很乐意陪你!\n\n有什\ufffd\ufffd..."
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781713890525027000",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 你好",
|
||||
"created_at": "2026-06-18T00:31:30.525027+08:00",
|
||||
"updated_at": "2026-06-18T00:31:33.1653132+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!😊 有什么可以帮你的吗?"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781713920523402600",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 你好",
|
||||
"created_at": "2026-06-18T00:32:00.5234026+08:00",
|
||||
"updated_at": "2026-06-18T00:32:04.2936935+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!很高兴见到你!😊\n\n我是DeepSeek,一个由深度求索公司创造的AI助手。无论你有什么问题、需要帮助,还是只是想聊聊天,我都很乐意陪伴你、\ufffd..."
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781714154187832400",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 你好",
|
||||
"created_at": "2026-06-18T00:35:54.1878324+08:00",
|
||||
"updated_at": "2026-06-18T00:35:58.3371209+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!很高兴见到你!😊\n\n我是DeepSeek,由深度求索公司创造的AI助手。无论你有什么问题、需要帮助,还是只是想聊聊天,我都很乐意陪你一起探索\ufffd..."
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781714169190665700",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 你好",
|
||||
"created_at": "2026-06-18T00:36:09.1906657+08:00",
|
||||
"updated_at": "2026-06-18T00:36:13.5432077+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!很高兴见到你。😊\n\n我是DeepSeek,由深度求索公司创造的AI助手。我可以帮你解答问题、处理文档、进行创作、分析数据……几乎任何文字相关\ufffd..."
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,18 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781714179192265800",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 111",
|
||||
"created_at": "2026-06-18T00:36:19.1922658+08:00",
|
||||
"updated_at": "2026-06-18T00:36:23.4404859+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 111"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!你发送了“111”,请问有什么需要帮助的吗?如果有具体问题或指令,请告诉我。"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,42 +0,0 @@
|
||||
{
|
||||
"id": "bot_1_1781714224192405100",
|
||||
"bot_id": 1,
|
||||
"bot_node_id": "!1abcead5",
|
||||
"title": "[来自 !72d17be4] 你好",
|
||||
"created_at": "2026-06-18T00:37:04.1924051+08:00",
|
||||
"updated_at": "2026-06-18T00:47:31.9941255+08:00",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!很高兴见到你!😊\n\n我收到了你的消息,不过看起来前面那个“!72d17be4”像是一个标识符或者系统生成的代码。如果你有什么具体问题或者需��..."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!再次见到你很高兴!😊\n\n我看到你又一次带着“!72d17be4”这个标识出现了。这个标识似乎一直在跟随你的消息。如果你需要我帮你处理、解析��..."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好!😊\n\n我看到你第三次发来了相同的消息,并且每次前面都带着 **`!72d17be4`** 这个标识。\n\n如果你是在**测试**或者**重复发送**,我理解这可能是��..."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "[来自 !72d17be4] 你好"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": "你好! 我注意到你连续四次发送了相同格式的消息,前面都带有 `[来自 !72d17be4]` 标识。这可能是系统自动发送测试或者你希望引起我的注意。 无论..."
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user