299 lines
12 KiB
Go
299 lines
12 KiB
Go
package toolrouter
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import (
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"context"
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"encoding/json"
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"fmt"
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"strings"
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"time"
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"meshtastic_mqtt_server/internal/completion"
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"meshtastic_mqtt_server/internal/llm"
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"meshtastic_mqtt_server/internal/message"
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"meshtastic_mqtt_server/internal/stream"
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"meshtastic_mqtt_server/internal/toolmanager"
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"github.com/volcengine/volcengine-go-sdk/service/arkruntime/model"
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)
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const maxAgentToolIterations = 6
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// RunAgentToolLoop runs the agent tool calling loop
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// systemPrompt is the primary system prompt from LLM config
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// The third return value toolUsed indicates whether at least one tool was actually
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// invoked during the loop (i.e. the model selected a tool). Callers use it to decide
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// whether to skip downstream gating (e.g. topic selection).
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func RunAgentToolLoop(ctx context.Context, state *State, profile *llm.Profile, systemPrompt string, chatMessages []message.ChatMessage, manager *toolmanager.Manager, emit stream.EmitFunc) ([]*model.ChatCompletionMessage, bool, error) {
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finalMessages, err := buildArkMessages(chatMessages)
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if err != nil {
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return nil, false, err
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}
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routerProfile := profile
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if state != nil {
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routerProfile = state.RouterProfile(profile)
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}
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tools := availableAgentTools(state, routerProfile, manager, emit)
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if len(tools) == 0 {
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// No tools available, add system prompt and return
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if strings.TrimSpace(systemPrompt) != "" {
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systemMessage := &model.ChatCompletionMessage{
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Role: "system",
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Content: &model.ChatCompletionMessageContent{
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StringValue: &systemPrompt,
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},
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}
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finalMessages = append([]*model.ChatCompletionMessage{systemMessage}, finalMessages...)
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}
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return finalMessages, false, nil
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}
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decisionMessages := append([]*model.ChatCompletionMessage(nil), finalMessages...)
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toolByName := make(map[string]AgentTool, len(tools))
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definitions := make([]*model.Tool, 0, len(tools))
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availableNames := make([]string, 0, len(tools))
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toolDescriptions := make([]string, 0, len(tools))
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for _, tool := range tools {
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toolByName[tool.name] = tool
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definitions = append(definitions, tool.definition)
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availableNames = append(availableNames, tool.name)
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if tool.definition != nil && tool.definition.Function != nil {
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toolDescriptions = append(toolDescriptions, fmt.Sprintf("%s: %s", tool.name, tool.definition.Function.Description))
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}
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}
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if emit != nil {
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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}})
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}
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if state == nil {
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// No tool router state, but we have tools - use primary system prompt
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if strings.TrimSpace(systemPrompt) != "" {
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systemMessage := &model.ChatCompletionMessage{
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Role: "system",
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Content: &model.ChatCompletionMessageContent{
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StringValue: &systemPrompt,
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},
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}
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finalMessages = append([]*model.ChatCompletionMessage{systemMessage}, finalMessages...)
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decisionMessages = append([]*model.ChatCompletionMessage{systemMessage}, decisionMessages...)
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}
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return finalMessages, false, nil
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}
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// 每轮调用都重新加载最新配置，确保管理员在 /admin/llm/api 保存后立即生效
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cfg := state.effectiveConfig()
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// 最终回复使用主回复配置的 system prompt（机器人人设/回复指引）；
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// 工具路由决策使用工具路由的 system prompt（指导如何调用工具），
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// 为空时回退到主回复 prompt。两者分离，避免工具路由 prompt 覆盖主回复 prompt。
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primaryPrompt := strings.TrimSpace(systemPrompt)
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routerPrompt := strings.TrimSpace(cfg.SystemPrompt)
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if routerPrompt == "" {
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routerPrompt = primaryPrompt
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}
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routerPrompt = routerPrompt + "\n当前日期：" + time.Now().Format("2006-01-02")
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if primaryPrompt != "" {
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primarySystemMessage := &model.ChatCompletionMessage{
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Role: "system",
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Content: &model.ChatCompletionMessageContent{
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StringValue: &primaryPrompt,
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},
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}
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finalMessages = append([]*model.ChatCompletionMessage{primarySystemMessage}, finalMessages...)
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}
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if routerPrompt != "" {
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routerSystemMessage := &model.ChatCompletionMessage{
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Role: "system",
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Content: &model.ChatCompletionMessageContent{
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StringValue: &routerPrompt,
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},
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}
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decisionMessages = append([]*model.ChatCompletionMessage{routerSystemMessage}, decisionMessages...)
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}
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// toolUsed 记录本轮是否真的执行了至少一次工具调用，供调用方决定是否跳过话题选择等后续门控。
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toolUsed := false
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// 签到意图强制调用：用户明确想签到（「签到/打卡/上台」等）时，模型却不主动调
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// sign 工具的话，会被下游话题判定当成噪音丢弃。这里在循环外预判意图，待模型
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// 该轮未请求任何工具时强制注入一次 sign 调用（用用户原文作为 raw_text），
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// 保证签到一定落库、且不会被话题判定丢弃。
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forceSignText := detectSignIntent(chatMessages)
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_, signAvailable := toolByName["sign"]
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signInvoked := false // 本轮循环中是否已经调用过 sign（含模型主动调与强制调）
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for i := 0; i < maxAgentToolIterations; i++ {
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if emit != nil {
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emit(stream.Frame{Type: "trace", Tool: "agent_tools", Stage: "request", Status: "running", Message: fmt.Sprintf("正在进行第 %d 轮工具判断", i+1), Data: map[string]any{"iteration": i + 1, "max_iterations": maxAgentToolIterations, "tools": availableNames}})
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}
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resp, err := completion.CompleteChat(ctx, routerProfile, model.CreateChatCompletionRequest{
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Model: routerProfile.Config.Model,
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Messages: decisionMessages,
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MaxTokens: &cfg.MaxTokens,
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Tools: definitions,
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ToolChoice: model.ToolChoiceStringTypeAuto,
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ParallelToolCalls: BoolPtr(false),
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}, time.Duration(cfg.Timeout)*time.Second)
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if err != nil {
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return finalMessages, toolUsed, err
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}
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if tracker := stream.TrackerFromContext(ctx); tracker != nil {
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tracker.AddTool(resp.Usage.PromptTokens, resp.Usage.CompletionTokens)
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}
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if len(resp.Choices) == 0 {
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return finalMessages, toolUsed, nil
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}
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choice := resp.Choices[0]
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if emit != nil {
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emit(stream.Frame{Type: "trace", Tool: "agent_tools", Stage: "decision", Status: "success", Message: "工具判断响应已返回", Data: map[string]any{"iteration": i + 1}})
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}
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calls := choice.Message.ToolCalls
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if len(calls) == 0 && choice.Message.FunctionCall != nil {
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calls = []*model.ToolCall{{ID: "legacy_function_call", Type: model.ToolTypeFunction, Function: *choice.Message.FunctionCall}}
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}
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if len(calls) == 0 {
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// 模型本轮未请求任何工具。若检测到签到意图且 sign 工具可用、本次循环尚未调过 sign，
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// 则强制注入一次 sign 调用（以用户原文作为 raw_text），保证签到一定落库。
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if forced := buildForcedSignCall(forceSignText, signAvailable, signInvoked); forced != nil {
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if emit != nil {
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emit(stream.Frame{Type: "trace", Tool: "sign", Stage: "tool_calls", Status: "running", Message: "检测到签到意图，模型未调用签到工具，强制调用 sign", Data: map[string]any{"tools": []string{"sign"}, "forced": true, "iteration": i + 1}})
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}
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calls = []*model.ToolCall{forced}
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} else {
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if emit != nil {
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emit(stream.Frame{Type: "trace", Tool: "agent_tools", Stage: "request", Status: "success", Message: "模型未请求工具，进入回答生成"})
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}
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return finalMessages, toolUsed, nil
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}
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}
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callNames := make([]string, 0, len(calls))
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for _, call := range calls {
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if call != nil {
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callNames = append(callNames, call.Function.Name)
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}
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}
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if emit != nil {
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emit(stream.Frame{Type: "trace", Tool: "agent_tools", Stage: "tool_calls", Status: "running", Message: fmt.Sprintf("模型请求调用 %d 个工具", len(calls)), Data: map[string]any{"tools": callNames, "iteration": i + 1}})
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}
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// 模型确实请求了工具调用，标记 toolUsed=true
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toolUsed = true
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assistantMessage := &model.ChatCompletionMessage{Role: "assistant", ToolCalls: calls, Content: choice.Message.Content}
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finalMessages = append(finalMessages, assistantMessage)
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decisionMessages = append(decisionMessages, assistantMessage)
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for _, call := range calls {
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if call != nil && call.Function.Name == "sign" {
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signInvoked = true
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}
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result := ExecuteAgentToolCall(ctx, call, toolByName, emit)
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resultContent := &model.ChatCompletionMessageContent{StringValue: &result}
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toolMessage := &model.ChatCompletionMessage{Role: "tool", ToolCallID: call.ID, Content: resultContent}
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finalMessages = append(finalMessages, toolMessage)
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decisionMessages = append(decisionMessages, toolMessage)
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}
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}
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limitText := "工具调用轮数已达到上限。请基于已有工具结果回答，并说明可能未完成全部工具调用。"
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limitMessage := &model.ChatCompletionMessage{Role: "system", Content: &model.ChatCompletionMessageContent{StringValue: &limitText}}
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finalMessages = append(finalMessages, limitMessage)
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return finalMessages, toolUsed, nil
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}
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func buildArkMessages(chatMessages []message.ChatMessage) ([]*model.ChatCompletionMessage, error) {
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messages := make([]*model.ChatCompletionMessage, 0, len(chatMessages))
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for _, msg := range chatMessages {
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role := msg.Role
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if role == "" {
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role = "user"
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}
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content := &model.ChatCompletionMessageContent{StringValue: &msg.Content}
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messages = append(messages, &model.ChatCompletionMessage{
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Role: role,
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Content: content,
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})
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}
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return messages, nil
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}
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// BoolPtr returns a pointer to the given bool
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func BoolPtr(b bool) *bool {
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return &b
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}
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// IntPtr returns a pointer to the given int
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func IntPtr(i int) *int {
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return &i
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}
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// signIntentKeywords 是判定签到意图的关键词。命中任一即认为用户想签到。
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var signIntentKeywords = []string{"签到", "打卡", "上台"}
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// signNegationKeywords 是会否决签到意图的关键词。当消息同时命中签到关键词与
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// 这些否决词时，说明用户不是要签到，而是要对签到记录做删除/查询/取消等操作，
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// 此时不应强制签到（否则会把「删除签到信息」这句话本身当签到正文写库）。
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var signNegationKeywords = []string{"删除", "取消", "撤回", "撤销", "清除", "清空", "查询", "查看", "列表", "统计", "不要", "别"}
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// detectSignIntent 取最后一条用户消息，若包含签到意图关键词（且不含否决词）
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// 则返回该消息原文（去除前缀的「[来自 ...]」等格式化包装），否则返回空串。
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func detectSignIntent(chatMessages []message.ChatMessage) string {
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userText := lastUserMessageText(chatMessages)
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if strings.TrimSpace(userText) == "" {
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return ""
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}
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hit := false
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for _, kw := range signIntentKeywords {
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if strings.Contains(userText, kw) {
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hit = true
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break
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}
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}
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if !hit {
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return ""
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}
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// 命中否决词则不视为签到意图
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for _, kw := range signNegationKeywords {
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if strings.Contains(userText, kw) {
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return ""
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}
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}
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return stripFromPrefix(userText)
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}
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// stripFromPrefix 去掉 autoreply.formatUserMessage 加上的「[来自 ...] 」前缀，
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// 让签到正文只保留用户实际发送的内容。
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func stripFromPrefix(s string) string {
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if idx := strings.Index(s, "]"); idx >= 0 && strings.HasPrefix(strings.TrimSpace(s), "[") {
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return strings.TrimSpace(s[idx+1:])
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}
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return s
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}
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// buildForcedSignCall 在满足条件时构造一次强制 sign 调用。条件：
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// - 有签到意图原文（signText 非空）
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// - sign 工具可用
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// - 本次循环尚未调过 sign（避免重复签到）
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//
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// 调用参数仅含 raw_text（用户原文），由 sign 工具回退为签到正文。
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func buildForcedSignCall(signText string, signAvailable, signInvoked bool) *model.ToolCall {
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if strings.TrimSpace(signText) == "" || !signAvailable || signInvoked {
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return nil
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}
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args, _ := json.Marshal(map[string]string{"raw_text": signText})
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argsStr := string(args)
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return &model.ToolCall{
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ID: "forced_sign",
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Type: model.ToolTypeFunction,
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Function: model.FunctionCall{
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Name: "sign",
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Arguments: argsStr,
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},
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}
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}
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// lastUserMessageText 返回消息列表中最后一条 role 为 user 的消息内容。
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func lastUserMessageText(messages []message.ChatMessage) string {
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for i := len(messages) - 1; i >= 0; i-- {
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msg := messages[i]
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role := msg.Role
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if role == "" {
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role = "user"
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}
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if role == "user" {
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return msg.Content
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}
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}
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return ""
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}
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