agent-cli
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@@ -23,29 +23,49 @@ import (
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type EventType string
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const (
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EventStatus EventType = "status" // 生命周期状态（accepted/context/thinking/...）
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EventThought EventType = "thought" // AI 思考/推理文本（流式结束后的完整内容）
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EventThoughtDelta EventType = "thought_delta" // AI 思考流式增量 token
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EventToolCall EventType = "tool_call" // 即将执行的工具（名/参数/风险）
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EventToolResult EventType = "tool_result" // 工具执行结果（输出/成败/耗时）
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EventProgress EventType = "progress" // 轮次进度 + token
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EventDone EventType = "done" // 任务完成（最终答案）
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EventError EventType = "error" // 错误（含达到最大轮次）
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EventToolResult EventType = "tool_result" // 工具执行结果（输出/成败/耗时）
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EventProgress EventType = "progress" // 轮次进度 + token
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EventDone EventType = "done" // 任务完成（最终答案）
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EventError EventType = "error" // 错误（含达到最大轮次）
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)
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const (
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PhaseAccepted = "accepted"
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PhaseContext = "context"
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PhaseThinking = "thinking"
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PhasePlanning = "planning"
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PhaseSafety = "safety_check"
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PhaseApproval = "approval_required"
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PhaseToolRunning = "tool_running"
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PhaseObserving = "observing"
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PhaseValidating = "validating"
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PhaseSummarizing = "summarizing"
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PhaseDone = "done"
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PhaseBlocked = "blocked"
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PhaseError = "error"
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)
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// Event 引擎产生的事件（controller 序列化后通过 WebSocket 推送） // Logan.Li
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type Event struct {
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Type EventType `json:"type"`
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Round int `json:"round,omitempty"`
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Thought string `json:"thought,omitempty"`
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ToolName string `json:"tool_name,omitempty"`
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ToolArgs map[string]interface{} `json:"tool_args,omitempty"`
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Risk string `json:"risk,omitempty"`
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Output string `json:"output,omitempty"`
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Success bool `json:"success,omitempty"`
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Duration string `json:"duration,omitempty"`
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Tokens int `json:"tokens,omitempty"`
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Answer string `json:"answer,omitempty"`
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Message string `json:"message,omitempty"`
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Type EventType `json:"type"`
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Phase string `json:"phase,omitempty"`
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Summary string `json:"summary,omitempty"`
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Round int `json:"round,omitempty"`
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Thought string `json:"thought,omitempty"`
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ToolName string `json:"tool_name,omitempty"`
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ToolArgs map[string]interface{} `json:"tool_args,omitempty"`
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Risk string `json:"risk,omitempty"`
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Output string `json:"output,omitempty"`
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Success bool `json:"success,omitempty"`
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Duration string `json:"duration,omitempty"`
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OutputSize int `json:"output_size,omitempty"`
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Tokens int `json:"tokens,omitempty"`
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Answer string `json:"answer,omitempty"`
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Message string `json:"message,omitempty"`
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}
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// EventCallback 事件回调（controller 注入） // Logan.Li
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@@ -127,6 +147,7 @@ func (a *Agent) emit(e Event) {
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func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.Message, priorTokens int) (*RunResult, error) {
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a.totalTokens = priorTokens
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start := time.Now()
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a.emit(Event{Type: EventStatus, Phase: PhaseAccepted, Summary: "任务已接收"})
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// Evolver PREDICT：获取历史经验注入 system prompt
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evolveCtx := ""
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@@ -137,6 +158,7 @@ func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.M
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// 工具描述
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toolDescs := a.buildToolDescriptions()
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systemPrompt := prompt.BuildSystemPrompt(a.config.Mode, serverInfo, toolDescs, evolveCtx)
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a.emit(Event{Type: EventStatus, Phase: PhaseContext, Summary: fmt.Sprintf("mode=%s tools=%d prior_messages=%d", a.config.Mode, len(a.registry.List()), len(prior))})
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messages := []llm.Message{{Role: "system", Content: systemPrompt}}
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if len(prior) > 0 {
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@@ -168,6 +190,7 @@ func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.M
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// ReAct 须用 Complete：Stream 无法组装 tool_calls/tool_use（GLM/Claude 等会只回文字不执行） // Logan.Li
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round := a.roundNum(iter)
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a.emit(Event{Type: EventStatus, Phase: PhaseThinking, Round: round, Summary: "LLM 推理中"})
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resp, err := a.llm.Complete(ctx, &llm.CompletionRequest{
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Messages: trimmed,
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Tools: llmTools,
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@@ -175,7 +198,7 @@ func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.M
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MaxTokens: a.config.MaxTokens,
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})
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if err != nil {
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a.emit(Event{Type: EventError, Message: "LLM 调用失败: " + err.Error()})
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a.emit(Event{Type: EventError, Phase: PhaseError, Message: "LLM 调用失败: " + err.Error()})
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return nil, fmt.Errorf("LLM调用失败: %w", err)
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}
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@@ -208,7 +231,8 @@ func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.M
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answer = "任务已完成。"
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}
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}
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a.emit(Event{Type: EventDone, Answer: answer, Tokens: a.totalTokens})
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a.emit(Event{Type: EventStatus, Phase: PhaseSummarizing, Round: round, Summary: "汇总最终答案"})
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a.emit(Event{Type: EventDone, Phase: PhaseDone, Answer: answer, Tokens: a.totalTokens})
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a.triggerEvolve(ctx, query, serverInfo, answer, toolRecords, true, start)
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return &RunResult{
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Success: true, Output: answer,
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@@ -218,7 +242,7 @@ func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.M
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// 中间轮思考（后续还有 tool_calls，与终局 done 分开，避免重复输出） // Logan.Li
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if thought := strings.TrimSpace(resp.Message.Content); thought != "" {
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a.emit(Event{Type: EventThought, Round: round, Thought: thought})
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a.emit(Event{Type: EventThought, Phase: PhasePlanning, Round: round, Thought: thought})
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}
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// 处理工具调用
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@@ -231,7 +255,7 @@ func (a *Agent) Run(ctx context.Context, query, serverInfo string, prior []llm.M
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// 达到最大轮次
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msg := fmt.Sprintf("达到最大迭代次数(%d)，任务未能完成。可能任务过于复杂或需要更多步骤。", a.config.MaxIterations)
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a.emit(Event{Type: EventError, Message: msg, Tokens: a.totalTokens})
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a.emit(Event{Type: EventError, Phase: PhaseError, Message: msg, Tokens: a.totalTokens})
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a.triggerEvolve(ctx, query, serverInfo, "", toolRecords, false, start)
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return &RunResult{
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Success: false, History: a.extractHistory(messages), TotalTokens: a.totalTokens,
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@@ -270,11 +294,12 @@ func (a *Agent) processToolCalls(ctx context.Context, calls []llm.ToolCall, hist
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}
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risk := a.toolRisk(tool, args)
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a.emit(Event{Type: EventToolCall, Round: round, ToolName: tc.Function.Name, ToolArgs: args, Risk: risk.Display()})
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a.emit(Event{Type: EventStatus, Phase: PhaseSafety, Round: round, ToolName: tc.Function.Name, ToolArgs: args, Risk: risk.Display(), Summary: "安全检查"})
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// 安全检查（高危触发 confirmFn，由 controller 异步确认）
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approved, err := a.safetyCtl.Check(tool, args)
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if err != nil {
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a.emit(Event{Type: EventStatus, Phase: PhaseError, Round: round, ToolName: tc.Function.Name, ToolArgs: args, Risk: risk.Display(), Message: err.Error()})
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obs = append(obs, llm.Message{Role: "tool", ToolCallID: tc.ID, Name: tc.Function.Name,
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Content: "安全检查失败: " + err.Error()})
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continue
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@@ -282,12 +307,14 @@ func (a *Agent) processToolCalls(ctx context.Context, calls []llm.ToolCall, hist
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if !approved {
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obs = append(obs, llm.Message{Role: "tool", ToolCallID: tc.ID, Name: tc.Function.Name,
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Content: "操作已被用户拒绝执行"})
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a.emit(Event{Type: EventStatus, Phase: PhaseBlocked, Round: round, ToolName: tc.Function.Name, ToolArgs: args, Risk: risk.Display(), Summary: "用户拒绝执行"})
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a.emit(Event{Type: EventToolResult, Round: round, ToolName: tc.Function.Name,
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Output: "（用户拒绝执行）", Success: false})
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Phase: PhaseObserving, Output: "（用户拒绝执行）", Success: false, OutputSize: len("（用户拒绝执行）")})
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continue
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}
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// 执行
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a.emit(Event{Type: EventToolCall, Phase: PhaseToolRunning, Round: round, ToolName: tc.Function.Name, ToolArgs: args, Risk: risk.Display(), Summary: "工具执行中"})
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toolStart := time.Now()
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toolCtx, cancel := context.WithTimeout(ctx, a.config.ToolTimeout)
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result, execErr := tool.Execute(toolCtx, args)
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@@ -317,8 +344,8 @@ func (a *Agent) processToolCalls(ctx context.Context, calls []llm.ToolCall, hist
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fmt.Sprintf("\n[输出已截断，原始 %d 字符]", len(output))
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}
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a.emit(Event{Type: EventToolResult, Round: round, ToolName: tc.Function.Name,
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Output: output, Success: success, Duration: dur.Truncate(time.Millisecond).String()})
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a.emit(Event{Type: EventToolResult, Phase: PhaseObserving, Round: round, ToolName: tc.Function.Name,
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Output: output, Success: success, Duration: dur.Truncate(time.Millisecond).String(), OutputSize: len(output)})
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records = append(records, evolver.ToolCallRecord{
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ToolName: tc.Function.Name, Args: args, Output: output,
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