写成屎山了

ai/service.go

@@ -18,9 +18,10 @@ import (
 	"gorm.io/gorm"
 )
 
-// SystemPromptStore is the interface for getting the system prompt
+// ToolConfigStore is the interface for getting tool configuration
-type SystemPromptStore interface {
+type ToolConfigStore interface {
 	GetLLMPrimaryConfigSystemPrompt() (string, error)
+	GetLLMPrimaryConfigEnableTool() (bool, error)
 }
 
 // Config holds the AI service configuration
@@ -28,7 +29,7 @@ type Config struct {
 	LLMProviders     []llm.ProviderConfig
 	DataDir          string
 	Enabled          bool
-	SystemPromptStore SystemPromptStore
+	ToolConfigStore  ToolConfigStore
 }
 
 // Service manages all AI-related components
@@ -97,7 +98,7 @@ func NewService(cfg Config, db *gorm.DB, botSender autoreply.BotSender) (*Servic
 		convStore,
 		msgQueue,
 		botSender,
-		cfg.SystemPromptStore,
+		cfg.ToolConfigStore,
 	)
 
 	return &Service{

autoreply/service.go

@@ -14,6 +14,8 @@ import (
 	"meshtastic_mqtt_server/message"
 	"meshtastic_mqtt_server/toolmanager"
 	"meshtastic_mqtt_server/toolrouter"
+
+	"github.com/volcengine/volcengine-go-sdk/service/arkruntime/model"
 )
 
 const (
@@ -63,9 +65,10 @@ type BotSender interface {
 	SendChannelText(ctx context.Context, botID uint64, channelID string, text string) error
 }
 
-// SystemPromptStore is the interface for getting the system prompt
+// ToolConfigStore is the interface for getting tool configuration
-type SystemPromptStore interface {
+type ToolConfigStore interface {
 	GetLLMPrimaryConfigSystemPrompt() (string, error)
+	GetLLMPrimaryConfigEnableTool() (bool, error)
 }
 
 // Service manages automatic AI replies for bots
@@ -76,7 +79,7 @@ type Service struct {
 	convStore        *conversation.Store
 	msgQueue         MessageQueue
 	botSender        BotSender
-	systemPromptStore SystemPromptStore
+	toolConfigStore  ToolConfigStore
 
 	running bool
 	mu      sync.Mutex
@@ -92,7 +95,7 @@ func NewService(
 	convStore *conversation.Store,
 	msgQueue MessageQueue,
 	botSender BotSender,
-	systemPromptStore SystemPromptStore,
+	toolConfigStore ToolConfigStore,
 ) *Service {
 	return &Service{
 		llmState:         llmState,
@@ -101,7 +104,7 @@ func NewService(
 		convStore:        convStore,
 		msgQueue:         msgQueue,
 		botSender:        botSender,
-		systemPromptStore: systemPromptStore,
+		toolConfigStore:  toolConfigStore,
 	}
 }
 
@@ -253,22 +256,61 @@ func (s *Service) processMessage(ctx context.Context, msg QueuedMessage) {
 		return
 	}
 
-	// Get system prompt from primary config
+	// Get system prompt and tool enable flag from primary config
 	var systemPrompt string
-	if s.systemPromptStore != nil {
+	enableTool := false
-		systemPrompt, err = s.systemPromptStore.GetLLMPrimaryConfigSystemPrompt()
+	if s.toolConfigStore != nil {
+		systemPrompt, err = s.toolConfigStore.GetLLMPrimaryConfigSystemPrompt()
 		if err != nil {
 			printJSON(map[string]any{"event": "llm_system_prompt_warning", "msg_id": msg.ID, "error": err.Error()})
 		}
+		enableTool, err = s.toolConfigStore.GetLLMPrimaryConfigEnableTool()
+		if err != nil {
+			printJSON(map[string]any{"event": "llm_enable_tool_warning", "msg_id": msg.ID, "error": err.Error()})
+		}
 	}
 
-	// Run the tool loop to get augmented messages
+	// Print tool manager status for debugging
-	augmentedMessages, err := toolrouter.RunAgentToolLoop(procCtx, s.toolRouter, profile, conv.Messages, s.toolMgr, nil)
+	toolCount := 0
-	_ = augmentedMessages // We'll use this in the future with proper tool support
+	if s.toolMgr != nil {
+		tools := s.toolMgr.Tools()
+		toolCount = len(tools)
+		toolNames := make([]string, 0, toolCount)
+		for _, t := range tools {
+			toolNames = append(toolNames, t.Name())
+		}
+		printJSON(map[string]any{
+			"event":      "llm_tool_manager_status",
+			"msg_id":     msg.ID,
+			"tool_count":  toolCount,
+			"tool_names":  toolNames,
+			"enable_tool": enableTool,
+		})
+	}
 
-	// For now, use simple completion since we don't have tools registered yet
+	// Run the tool loop to get augmented messages - pass system prompt to tool router
-	printJSON(map[string]any{"event": "llm_process_completion_start", "msg_id": msg.ID, "has_system_prompt": systemPrompt != ""})
+	// Tool loop will handle system prompt and tool calling
-	reply, err := completion.CompleteText(procCtx, profile, systemPrompt, conv.Messages, 512)
+	var augmentedMessages []*model.ChatCompletionMessage
+	if enableTool && toolCount > 0 {
+		augmentedMessages, err = toolrouter.RunAgentToolLoop(procCtx, s.toolRouter, profile, systemPrompt, conv.Messages, s.toolMgr, nil)
+		if err != nil {
+			printJSON(map[string]any{"event": "llm_tool_loop_warning", "msg_id": msg.ID, "error": err.Error()})
+			// Continue with original messages if tool loop fails
+		}
+	}
+
+	printJSON(map[string]any{"event": "llm_process_completion_start", "msg_id": msg.ID, "has_system_prompt": systemPrompt != "", "augmented_messages": len(augmentedMessages)})
+
+	// Use augmented messages from tool loop (already includes system prompt and tool results)
+	// If augmented messages is empty or nil, fallback to original messages with system prompt
+	var reply string
+	if len(augmentedMessages) > 0 {
+		// Use augmented messages from tool loop (already converted to model.ChatCompletionMessage)
+		reply, err = completion.CompleteTextWithArkMessages(procCtx, profile, augmentedMessages, 512)
+	} else {
+		// Fallback to simple completion
+		reply, err = completion.CompleteText(procCtx, profile, systemPrompt, conv.Messages, 512)
+	}
 	if err != nil {
 		errMsg := fmt.Sprintf("LLM completion failed: %v", err)
 		printJSON(map[string]any{"event": "llm_process_failed", "msg_id": msg.ID, "step": "llm_completion", "error": errMsg})

completion/completion.go

@@ -85,3 +85,31 @@ func CompleteText(ctx context.Context, profile *llm.Profile, systemPrompt string
 	}
 	return "", nil
 }
+
+// CompleteTextWithArkMessages completes a text prompt using already converted Ark messages
+// This is used when messages have already been converted (e.g. after tool loop)
+func CompleteTextWithArkMessages(ctx context.Context, profile *llm.Profile, arkMessages []*model.ChatCompletionMessage, maxTokens int) (string, error) {
+	if profile == nil || profile.Client == nil {
+		return "", fmt.Errorf("llm profile or client is nil")
+	}
+
+	req := model.CreateChatCompletionRequest{
+		Model:     profile.Config.Model,
+		Messages:  arkMessages,
+		MaxTokens: &maxTokens,
+	}
+
+	resp, err := profile.Client.CreateChatCompletion(ctx, req)
+	if err != nil {
+		return "", fmt.Errorf("text completion failed: %w", err)
+	}
+
+	if len(resp.Choices) == 0 {
+		return "", fmt.Errorf("no completion choices returned")
+	}
+
+	if resp.Choices[0].Message.Content != nil && resp.Choices[0].Message.Content.StringValue != nil {
+		return *resp.Choices[0].Message.Content.StringValue, nil
+	}
+	return "", nil
+}

llm_store.go

@@ -170,6 +170,18 @@ func (s *store) GetLLMPrimaryConfigSystemPrompt() (string, error) {
 	return record.SystemPrompt, nil
 }
 
+// GetLLMPrimaryConfigEnableTool 获取是否启用工具调用
+func (s *store) GetLLMPrimaryConfigEnableTool() (bool, error) {
+	record, err := s.GetLLMPrimaryConfig()
+	if err != nil {
+		if errors.Is(err, gorm.ErrRecordNotFound) {
+			return false, nil
+		}
+		return false, err
+	}
+	return record.EnableTool, nil
+}
+
 // CreateLLMPrimaryConfig 创建主 AI 回复配置
 func (s *store) CreateLLMPrimaryConfig(record *llmPrimaryConfigRecord) error {
 	if err := s.db.Create(record).Error; err != nil {

main.go

@@ -300,7 +300,7 @@ func run(cfg *config) error {
 				LLMProviders:     providerConfigs,
 				DataDir:          cfg.DataDir,
 				Enabled:          cfg.AI.Enabled,
-				SystemPromptStore: store,
+				ToolConfigStore:  store,
 			}, store.db, botSenderAdapter)
 			if err != nil {
 				fmt.Fprintf(os.Stderr, "Warning: failed to initialize AI service: %v\n", err)

toolmanager/manager.go

@@ -18,17 +18,21 @@ type Manager struct {
 }
 
 // Load loads tools from the given directory
+// If directory doesn't exist or is empty, automatically loads all registered tools
 func Load(root string, options agenttool.LoadOptions) (*Manager, error) {
+	manager := &Manager{tools: map[string]agenttool.LoadedTool{}}
+
+	// Try to read directory
 	entries, err := os.ReadDir(root)
 	if err != nil {
-		// Directory doesn't exist, create empty manager
+		if !os.IsNotExist(err) {
-		if os.IsNotExist(err) {
-			return &Manager{tools: map[string]agenttool.LoadedTool{}}, nil
-		}
 			return nil, fmt.Errorf("failed to read tools directory: %w", err)
 		}
+		// Directory doesn't exist, continue to load all registered tools
+		entries = []os.DirEntry{}
+	}
 
-	manager := &Manager{tools: map[string]agenttool.LoadedTool{}}
+	// Load tools from directory if they exist
 	for _, entry := range entries {
 		if !entry.IsDir() {
 			continue
@@ -57,6 +61,34 @@ func Load(root string, options agenttool.LoadOptions) (*Manager, error) {
 		manager.tools[toolName] = tool
 		manager.order = append(manager.order, toolName)
 	}
+
+	// If no tools loaded from directory, automatically load all registered tools
+	if len(manager.tools) == 0 {
+		registeredTools := agenttool.Names()
+		for _, name := range registeredTools {
+			descriptor, ok := agenttool.Lookup(name)
+			if !ok {
+				continue
+			}
+			// Use empty path for tools that don't require configuration files
+			tool, err := descriptor.Load("", options)
+			if err != nil {
+				continue
+			}
+			if tool == nil {
+				continue
+			}
+			toolName := strings.ToLower(strings.TrimSpace(tool.Name()))
+			if toolName == "" {
+				toolName = name
+			}
+			if _, ok := manager.tools[toolName]; ok {
+				continue
+			}
+			manager.tools[toolName] = tool
+			manager.order = append(manager.order, toolName)
+		}
+	}
 	return manager, nil
 }
 

toolrouter/loop.go

@@ -18,7 +18,8 @@ import (
 const maxAgentToolIterations = 6
 
 // RunAgentToolLoop runs the agent tool calling loop
-func RunAgentToolLoop(ctx context.Context, state *State, profile *llm.Profile, chatMessages []message.ChatMessage, manager *toolmanager.Manager, emit stream.EmitFunc) ([]*model.ChatCompletionMessage, error) {
+// systemPrompt is the primary system prompt from LLM config
+func RunAgentToolLoop(ctx context.Context, state *State, profile *llm.Profile, systemPrompt string, chatMessages []message.ChatMessage, manager *toolmanager.Manager, emit stream.EmitFunc) ([]*model.ChatCompletionMessage, error) {
 	finalMessages, err := buildArkMessages(chatMessages)
 	if err != nil {
 		return nil, err
@@ -29,6 +30,16 @@ func RunAgentToolLoop(ctx context.Context, state *State, profile *llm.Profile, c
 	}
 	tools := availableAgentTools(state, routerProfile, manager, emit)
 	if len(tools) == 0 {
+		// No tools available, add system prompt and return
+		if strings.TrimSpace(systemPrompt) != "" {
+			systemMessage := &model.ChatCompletionMessage{
+				Role: "system",
+				Content: &model.ChatCompletionMessageContent{
+					StringValue: &systemPrompt,
+				},
+			}
+			finalMessages = append([]*model.ChatCompletionMessage{systemMessage}, finalMessages...)
+		}
 		return finalMessages, nil
 	}
 
@@ -50,9 +61,25 @@ func RunAgentToolLoop(ctx context.Context, state *State, profile *llm.Profile, c
 		emit(stream.Frame{Type: "trace", Tool: "agent_tools", Stage: "prepare", Status: "success", Message: "已准备可用工具", Data: map[string]any{"tools": availableNames, "tool_descriptions": toolDescriptions}})
 	}
 	if state == nil || state.cfg == nil {
+		// No tool router config, but we have tools - use primary system prompt
+		if strings.TrimSpace(systemPrompt) != "" {
+			systemMessage := &model.ChatCompletionMessage{
+				Role: "system",
+				Content: &model.ChatCompletionMessageContent{
+					StringValue: &systemPrompt,
+				},
+			}
+			finalMessages = append([]*model.ChatCompletionMessage{systemMessage}, finalMessages...)
+			decisionMessages = append([]*model.ChatCompletionMessage{systemMessage}, decisionMessages...)
+		}
 		return finalMessages, nil
 	}
-	if prompt := strings.TrimSpace(state.cfg.SystemPrompt); prompt != "" {
+	// Use tool router system prompt if available, otherwise fall back to primary system prompt
+	prompt := strings.TrimSpace(state.cfg.SystemPrompt)
+	if prompt == "" {
+		prompt = strings.TrimSpace(systemPrompt)
+	}
+	if prompt != "" {
 		systemMessage := &model.ChatCompletionMessage{
 			Role: "system",
 			Content: &model.ChatCompletionMessageContent{