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公明
+100
-833
File diff suppressed because it is too large
Load Diff
@@ -11,6 +11,7 @@ import (
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"time"
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"unicode/utf8"
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"cyberstrike-ai/internal/config"
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"cyberstrike-ai/internal/database"
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"go.uber.org/zap"
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@@ -128,7 +129,7 @@ func (m *BatchTaskManager) CreateBatchQueue(
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Title: title,
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Role: role,
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ProjectID: strings.TrimSpace(projectID),
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AgentMode: normalizeBatchQueueAgentMode(agentMode),
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AgentMode: config.NormalizeAgentMode(agentMode),
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ScheduleMode: normalizeBatchQueueScheduleMode(scheduleMode),
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CronExpr: strings.TrimSpace(cronExpr),
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NextRunAt: nextRunAt,
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@@ -225,7 +226,7 @@ func (m *BatchTaskManager) loadQueueFromDB(queueID string) *BatchTaskQueue {
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queue := &BatchTaskQueue{
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ID: queueRow.ID,
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AgentMode: "single",
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AgentMode: "eino_single",
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ScheduleMode: "manual",
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Status: queueRow.Status,
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CreatedAt: queueRow.CreatedAt,
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@@ -240,7 +241,7 @@ func (m *BatchTaskManager) loadQueueFromDB(queueID string) *BatchTaskQueue {
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queue.Role = queueRow.Role.String
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}
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if queueRow.AgentMode.Valid {
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queue.AgentMode = normalizeBatchQueueAgentMode(queueRow.AgentMode.String)
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queue.AgentMode = config.NormalizeAgentMode(queueRow.AgentMode.String)
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}
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if queueRow.ScheduleMode.Valid {
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queue.ScheduleMode = normalizeBatchQueueScheduleMode(queueRow.ScheduleMode.String)
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@@ -464,7 +465,7 @@ func (m *BatchTaskManager) LoadFromDB() error {
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queue := &BatchTaskQueue{
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ID: queueRow.ID,
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AgentMode: "single",
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AgentMode: "eino_single",
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ScheduleMode: "manual",
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Status: queueRow.Status,
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CreatedAt: queueRow.CreatedAt,
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@@ -479,7 +480,7 @@ func (m *BatchTaskManager) LoadFromDB() error {
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queue.Role = queueRow.Role.String
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}
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if queueRow.AgentMode.Valid {
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queue.AgentMode = normalizeBatchQueueAgentMode(queueRow.AgentMode.String)
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queue.AgentMode = config.NormalizeAgentMode(queueRow.AgentMode.String)
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}
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if queueRow.ScheduleMode.Valid {
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queue.ScheduleMode = normalizeBatchQueueScheduleMode(queueRow.ScheduleMode.String)
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@@ -669,7 +670,7 @@ func (m *BatchTaskManager) UpdateQueueMetadata(queueID, title, role, agentMode s
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// 如果未传 agentMode，保留原值
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if strings.TrimSpace(agentMode) != "" {
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agentMode = normalizeBatchQueueAgentMode(agentMode)
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agentMode = config.NormalizeAgentMode(agentMode)
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} else {
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agentMode = queue.AgentMode
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}
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@@ -8,6 +8,7 @@ import (
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"strings"
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"time"
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"cyberstrike-ai/internal/config"
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"cyberstrike-ai/internal/mcp"
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"cyberstrike-ai/internal/mcp/builtin"
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@@ -134,7 +135,7 @@ func RegisterBatchTaskMCPTools(mcpServer *mcp.Server, h *AgentHandler, logger *z
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【何时用】用户明确要批量排队执行、Cron 周期跑同一批指令、或需要与任务管理页面对齐时调用。需要即时追问、强依赖当前对话上下文的分析/编码，应在本对话内直接完成，不要为了”委派”而创建队列。
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【参数】tasks（字符串数组）或 tasks_text（多行，每行一条）二选一；每项是一条将来由系统按队列顺序执行的指令文案。agent_mode：single（原生 ReAct，默认）、eino_single（Eino ADK 单代理）、deep / plan_execute / supervisor（需系统启用多代理）；兼容旧值 multi（视为 deep）。非”把主对话拆给子代理”。schedule_mode：manual（默认）或 cron；cron 须填 cron_expr（5 段，如 “0 */6 * * *”）。
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【参数】tasks（字符串数组）或 tasks_text（多行，每行一条）二选一；每项是一条将来由系统按队列顺序执行的指令文案。agent_mode：eino_single（Eino ADK 单代理，默认）、deep / plan_execute / supervisor（需系统启用多代理）。非”把主对话拆给子代理”。schedule_mode：manual（默认）或 cron；cron 须填 cron_expr（5 段，如 “0 */6 * * *”）。
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【执行】默认创建后为 pending，不自动跑。execute_now=true 可创建后立即跑；否则之后调用 batch_task_start。Cron 自动下一轮需 schedule_enabled 为 true（可用 batch_task_schedule_enabled）。`,
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ShortDescription: "任务管理：创建批量任务队列（登记多条指令，可选立即或 Cron）",
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@@ -160,8 +161,8 @@ func RegisterBatchTaskMCPTools(mcpServer *mcp.Server, h *AgentHandler, logger *z
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},
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"agent_mode": map[string]interface{}{
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"type": "string",
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"description": "执行模式：single（原生 ReAct）、eino_single（Eino ADK）、deep/plan_execute/supervisor（Eino 编排，需启用多代理）；multi 兼容为 deep",
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"enum": []string{"single", "eino_single", "deep", "plan_execute", "supervisor", "multi"},
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"description": "执行模式：eino_single（Eino ADK，默认）、deep/plan_execute/supervisor（Eino 编排，需启用多代理）",
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"enum": []string{"eino_single", "deep", "plan_execute", "supervisor"},
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},
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"schedule_mode": map[string]interface{}{
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"type": "string",
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@@ -189,7 +190,7 @@ func RegisterBatchTaskMCPTools(mcpServer *mcp.Server, h *AgentHandler, logger *z
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}
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title := mcpArgString(args, "title")
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role := mcpArgString(args, "role")
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agentMode := normalizeBatchQueueAgentMode(mcpArgString(args, "agent_mode"))
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agentMode := config.NormalizeAgentMode(mcpArgString(args, "agent_mode"))
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scheduleMode := normalizeBatchQueueScheduleMode(mcpArgString(args, "schedule_mode"))
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cronExpr := strings.TrimSpace(mcpArgString(args, "cron_expr"))
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var nextRunAt *time.Time
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@@ -393,8 +394,8 @@ func RegisterBatchTaskMCPTools(mcpServer *mcp.Server, h *AgentHandler, logger *z
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},
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"agent_mode": map[string]interface{}{
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"type": "string",
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"description": "代理模式：single、eino_single、deep、plan_execute、supervisor；multi 视为 deep",
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"enum": []string{"single", "eino_single", "deep", "plan_execute", "supervisor", "multi"},
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"description": "代理模式：eino_single、deep、plan_execute、supervisor",
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"enum": []string{"eino_single", "deep", "plan_execute", "supervisor"},
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},
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},
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"required": []string{"queue_id"},
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@@ -783,7 +783,7 @@ func (h *ConfigHandler) UpdateConfig(c *gin.Context) {
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if mode := strings.TrimSpace(req.MultiAgent.RobotDefaultAgentMode); mode != "" {
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h.config.MultiAgent.RobotDefaultAgentMode = mode
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} else {
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h.config.MultiAgent.RobotDefaultAgentMode = "react"
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h.config.MultiAgent.RobotDefaultAgentMode = "eino_single"
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}
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if req.MultiAgent.PlanExecuteLoopMaxIterations != nil {
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h.config.MultiAgent.PlanExecuteLoopMaxIterations = *req.MultiAgent.PlanExecuteLoopMaxIterations
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@@ -12,7 +12,6 @@ import (
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"sync"
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"time"
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"cyberstrike-ai/internal/agent"
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"cyberstrike-ai/internal/database"
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"cyberstrike-ai/internal/multiagent"
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@@ -691,35 +690,6 @@ func (h *AgentHandler) interceptHITLForEinoTool(runCtx context.Context, cancelRu
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return arguments, nil
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}
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func (h *AgentHandler) interceptHITLForReactTool(runCtx context.Context, cancelRun context.CancelCauseFunc, conversationID, assistantMessageID string, sendEventFunc func(eventType, message string, data interface{}), toolName string, arguments map[string]interface{}, toolCallID string) (map[string]interface{}, error) {
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payload := map[string]interface{}{
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"toolName": toolName,
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"argumentsObj": arguments,
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"toolCallId": toolCallID,
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"source": "react_pre_exec",
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}
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d, err := h.waitHITLApproval(runCtx, cancelRun, conversationID, assistantMessageID, toolName, toolCallID, payload, sendEventFunc)
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if err != nil || d == nil {
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return arguments, err
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}
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if d.Decision == "reject" {
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comment := strings.TrimSpace(d.Comment)
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if comment == "" {
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comment = "no extra feedback"
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}
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return arguments, errors.New("human rejected this tool call; feedback: " + comment)
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}
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if len(d.EditedArguments) > 0 {
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return d.EditedArguments, nil
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}
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return arguments, nil
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}
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func (h *AgentHandler) injectReactHITLInterceptor(ctx context.Context, cancelRun context.CancelCauseFunc, conversationID, assistantMessageID string, sendEventFunc func(eventType, message string, data interface{})) context.Context {
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return agent.WithToolCallInterceptor(ctx, func(c context.Context, toolName string, args map[string]interface{}, toolCallID string) (map[string]interface{}, error) {
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return h.interceptHITLForReactTool(c, cancelRun, conversationID, assistantMessageID, sendEventFunc, toolName, args, toolCallID)
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})
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}
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type hitlConfigReq struct {
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ConversationID string `json:"conversationId" binding:"required"`
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@@ -395,7 +395,7 @@ func (h *AgentHandler) MultiAgentLoopStream(c *gin.Context) {
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sendEvent("done", "", map[string]interface{}{"conversationId": conversationID})
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}
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// MultiAgentLoop Eino DeepAgent 非流式对话（与 POST /api/agent-loop 对齐，需 multi_agent.enabled）。
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// MultiAgentLoop Eino DeepAgent 非流式对话（需 multi_agent.enabled）。
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func (h *AgentHandler) MultiAgentLoop(c *gin.Context) {
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if h.config == nil || !h.config.MultiAgent.Enabled {
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c.JSON(http.StatusNotFound, gin.H{"error": "多代理未启用，请在 config.yaml 中设置 multi_agent.enabled: true"})
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+11
-148
@@ -423,8 +423,8 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
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},
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"agentMode": map[string]interface{}{
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"type": "string",
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"description": "代理模式：single（原生 ReAct）| eino_single（Eino ADK 单代理）| deep | plan_execute | supervisor；react 同 single；旧值 multi 按 deep",
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"enum": []string{"single", "eino_single", "deep", "plan_execute", "supervisor", "multi", "react"},
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"description": "代理模式：eino_single（Eino ADK 单代理，默认）| deep | plan_execute | supervisor",
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"enum": []string{"eino_single", "deep", "plan_execute", "supervisor"},
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},
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"scheduleMode": map[string]interface{}{
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"type": "string",
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@@ -1121,7 +1121,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
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"post": map[string]interface{}{
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"tags": []string{"对话管理"},
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"summary": "创建对话",
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"description": "创建一个新的安全测试对话。\n**重要说明**：\n- ✅ 创建的对话会**立即保存到数据库**\n- ✅ 前端页面会**自动刷新**显示新对话\n- ✅ 与前端创建的对话**完全一致**\n**创建对话的两种方式**：\n**方式1（推荐）：** 直接使用 `/api/agent-loop` 发送消息，**不提供** `conversationId` 参数，系统会自动创建新对话并发送消息。这是最简单的方式，一步完成创建和发送。\n**方式2：** 先调用此端点创建空对话，然后使用返回的 `conversationId` 调用 `/api/agent-loop` 发送消息。适用于需要先创建对话，稍后再发送消息的场景。\n**示例**：\n```json\n{\n \"title\": \"Web应用安全测试\"\n}\n```",
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"description": "创建一个新的安全测试对话。\n**重要说明**：\n- ✅ 创建的对话会**立即保存到数据库**\n- ✅ 前端页面会**自动刷新**显示新对话\n- ✅ 与前端创建的对话**完全一致**\n**创建对话的两种方式**：\n**方式1（推荐）：** 直接使用 `/api/eino-agent` 发送消息，**不提供** `conversationId` 参数，系统会自动创建新对话并发送消息。这是最简单的方式，一步完成创建和发送。\n**方式2：** 先调用此端点创建空对话，然后使用返回的 `conversationId` 调用 `/api/eino-agent` 发送消息。适用于需要先创建对话，稍后再发送消息的场景。\n**示例**：\n```json\n{\n \"title\": \"Web应用安全测试\"\n}\n```",
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"operationId": "createConversation",
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"requestBody": map[string]interface{}{
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"required": true,
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@@ -1412,148 +1412,11 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
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},
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},
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},
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"/api/agent-loop": map[string]interface{}{
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"post": map[string]interface{}{
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"tags": []string{"对话交互"},
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"summary": "发送消息并获取AI回复（非流式）",
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"description": "向AI发送消息并获取回复（非流式响应）。**这是与AI交互的核心端点**，与前端聊天功能完全一致。\n**重要说明**：\n- ✅ 通过此API创建/发送的消息会**立即保存到数据库**\n- ✅ 前端页面会**自动刷新**显示新创建的对话和消息\n- ✅ 所有操作都有**完整的交互痕迹**，就像在前端操作一样\n- ✅ 支持角色配置，可以指定使用哪个测试角色\n**推荐使用流程**：\n1. **先创建对话**：调用 `POST /api/conversations` 创建新对话，获取 `conversationId`\n2. **再发送消息**：使用返回的 `conversationId` 调用此端点发送消息\n**使用示例**：\n**步骤1 - 创建对话：**\n```json\nPOST /api/conversations\n{\n \"title\": \"Web应用安全测试\"\n}\n```\n**步骤2 - 发送消息：**\n```json\nPOST /api/agent-loop\n{\n \"conversationId\": \"返回的对话ID\",\n \"message\": \"扫描 http://example.com 的SQL注入漏洞\",\n \"role\": \"渗透测试\"\n}\n```\n**其他方式**：\n如果不提供 `conversationId`，系统会自动创建新对话并发送消息。但**推荐先创建对话**，这样可以更好地管理对话列表。\n**响应**：返回AI的回复、对话ID和MCP执行ID列表。前端会自动刷新显示新消息。",
|
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"operationId": "sendMessage",
|
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"requestBody": map[string]interface{}{
|
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"required": true,
|
||||
"content": map[string]interface{}{
|
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"application/json": map[string]interface{}{
|
||||
"schema": map[string]interface{}{
|
||||
"type": "object",
|
||||
"properties": map[string]interface{}{
|
||||
"message": map[string]interface{}{
|
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"type": "string",
|
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"description": "要发送的消息（必需）",
|
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"example": "扫描 http://example.com 的SQL注入漏洞",
|
||||
},
|
||||
"conversationId": map[string]interface{}{
|
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"type": "string",
|
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"description": "对话ID（可选）。\n- **不提供**：自动创建新对话并发送消息（推荐）\n- **提供**：消息会添加到指定对话中（对话必须存在）",
|
||||
"example": "550e8400-e29b-41d4-a716-446655440000",
|
||||
},
|
||||
"role": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "角色名称（可选），如：默认、渗透测试、Web应用扫描等",
|
||||
"example": "默认",
|
||||
},
|
||||
},
|
||||
"required": []string{"message"},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"responses": map[string]interface{}{
|
||||
"200": map[string]interface{}{
|
||||
"description": "消息发送成功，返回AI回复",
|
||||
"content": map[string]interface{}{
|
||||
"application/json": map[string]interface{}{
|
||||
"schema": map[string]interface{}{
|
||||
"type": "object",
|
||||
"properties": map[string]interface{}{
|
||||
"response": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "AI的回复内容",
|
||||
},
|
||||
"conversationId": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "对话ID",
|
||||
},
|
||||
"mcpExecutionIds": map[string]interface{}{
|
||||
"type": "array",
|
||||
"description": "MCP执行ID列表",
|
||||
"items": map[string]interface{}{
|
||||
"type": "string",
|
||||
},
|
||||
},
|
||||
"time": map[string]interface{}{
|
||||
"type": "string",
|
||||
"format": "date-time",
|
||||
"description": "响应时间",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"400": map[string]interface{}{
|
||||
"description": "请求参数错误",
|
||||
},
|
||||
"401": map[string]interface{}{
|
||||
"description": "未授权，需要有效的Token",
|
||||
},
|
||||
"500": map[string]interface{}{
|
||||
"description": "服务器内部错误",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"/api/agent-loop/stream": map[string]interface{}{
|
||||
"post": map[string]interface{}{
|
||||
"tags": []string{"对话交互"},
|
||||
"summary": "发送消息并获取AI回复（流式）",
|
||||
"description": "向AI发送消息并获取流式回复（Server-Sent Events）。**这是与AI交互的核心端点**，与前端聊天功能完全一致。\n**重要说明**：\n- ✅ 通过此API创建/发送的消息会**立即保存到数据库**\n- ✅ 前端页面会**自动刷新**显示新创建的对话和消息\n- ✅ 所有操作都有**完整的交互痕迹**，就像在前端操作一样\n- ✅ 支持角色配置，可以指定使用哪个测试角色\n- ✅ 返回流式响应，适合实时显示AI回复\n**推荐使用流程**：\n1. **先创建对话**：调用 `POST /api/conversations` 创建新对话，获取 `conversationId`\n2. **再发送消息**：使用返回的 `conversationId` 调用此端点发送消息\n**使用示例**：\n**步骤1 - 创建对话：**\n```json\nPOST /api/conversations\n{\n \"title\": \"Web应用安全测试\"\n}\n```\n**步骤2 - 发送消息（流式）：**\n```json\nPOST /api/agent-loop/stream\n{\n \"conversationId\": \"返回的对话ID\",\n \"message\": \"扫描 http://example.com 的SQL注入漏洞\",\n \"role\": \"渗透测试\"\n}\n```\n**响应格式**：Server-Sent Events (SSE)，事件类型包括：\n- `message`: 用户消息确认\n- `response`: AI回复片段\n- `progress`: 进度更新\n- `done`: 完成\n- `error`: 错误\n- `cancelled`: 已取消",
|
||||
"operationId": "sendMessageStream",
|
||||
"requestBody": map[string]interface{}{
|
||||
"required": true,
|
||||
"content": map[string]interface{}{
|
||||
"application/json": map[string]interface{}{
|
||||
"schema": map[string]interface{}{
|
||||
"type": "object",
|
||||
"properties": map[string]interface{}{
|
||||
"message": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "要发送的消息（必需）",
|
||||
"example": "扫描 http://example.com 的SQL注入漏洞",
|
||||
},
|
||||
"conversationId": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "对话ID（可选）。\n- **不提供**：自动创建新对话并发送消息（推荐）\n- **提供**：消息会添加到指定对话中（对话必须存在）",
|
||||
"example": "550e8400-e29b-41d4-a716-446655440000",
|
||||
},
|
||||
"role": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "角色名称（可选），如：默认、渗透测试、Web应用扫描等",
|
||||
"example": "默认",
|
||||
},
|
||||
},
|
||||
"required": []string{"message"},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"responses": map[string]interface{}{
|
||||
"200": map[string]interface{}{
|
||||
"description": "流式响应（Server-Sent Events）",
|
||||
"content": map[string]interface{}{
|
||||
"text/event-stream": map[string]interface{}{
|
||||
"schema": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "SSE流式数据",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"400": map[string]interface{}{
|
||||
"description": "请求参数错误",
|
||||
},
|
||||
"401": map[string]interface{}{
|
||||
"description": "未授权，需要有效的Token",
|
||||
},
|
||||
"500": map[string]interface{}{
|
||||
"description": "服务器内部错误",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"/api/eino-agent": map[string]interface{}{
|
||||
"post": map[string]interface{}{
|
||||
"tags": []string{"对话交互"},
|
||||
"summary": "发送消息并获取 AI 回复（Eino ADK 单代理，非流式）",
|
||||
"description": "与 `POST /api/agent-loop` 请求体相同，由 **CloudWeGo Eino** `adk.NewChatModelAgent` + `adk.NewRunner.Run` 执行（单代理 MCP 工具链）。**不依赖** `multi_agent.enabled`；`multi_agent.eino_skills` / `eino_middleware` 等与多代理主代理一致时可生效。支持 `webshellConnectionId`。",
|
||||
"description": "向 AI 发送消息并获取回复（非流式）。由 **CloudWeGo Eino** `adk.NewChatModelAgent` + `adk.NewRunner.Run` 执行单代理 MCP 工具链。**不依赖** `multi_agent.enabled`；`multi_agent.eino_skills` / `eino_middleware` 等与多代理主代理一致时可生效。支持 `webshellConnectionId`、角色与附件。",
|
||||
"operationId": "sendMessageEinoSingleAgent",
|
||||
"requestBody": map[string]interface{}{
|
||||
"required": true,
|
||||
@@ -1573,7 +1436,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
},
|
||||
},
|
||||
"responses": map[string]interface{}{
|
||||
"200": map[string]interface{}{"description": "成功，响应格式同 /api/agent-loop"},
|
||||
"200": map[string]interface{}{"description": "成功，响应格式同 /api/eino-agent"},
|
||||
"400": map[string]interface{}{"description": "参数错误"},
|
||||
"401": map[string]interface{}{"description": "未授权"},
|
||||
"500": map[string]interface{}{"description": "执行失败"},
|
||||
@@ -1584,7 +1447,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
"post": map[string]interface{}{
|
||||
"tags": []string{"对话交互"},
|
||||
"summary": "发送消息并获取 AI 回复（Eino ADK 单代理，SSE）",
|
||||
"description": "与 `POST /api/agent-loop/stream` 类似；由 Eino **单代理** ADK 执行。事件类型与多代理流式一致（含 `tool_call` / `response_delta` 等）。**不依赖** `multi_agent.enabled`。",
|
||||
"description": "向 AI 发送消息并获取流式回复（SSE）。由 Eino **单代理** ADK 执行；事件类型与多代理流式一致（含 `tool_call` / `response_delta` / `thinking` 等）。**不依赖** `multi_agent.enabled`。",
|
||||
"operationId": "sendMessageEinoSingleAgentStream",
|
||||
"requestBody": map[string]interface{}{
|
||||
"required": true,
|
||||
@@ -1623,7 +1486,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
"post": map[string]interface{}{
|
||||
"tags": []string{"对话交互"},
|
||||
"summary": "发送消息并获取 AI 回复（Eino 多代理，非流式）",
|
||||
"description": "与 `POST /api/agent-loop` 请求体相同，但由 **CloudWeGo Eino** 多代理执行。编排由请求体 `orchestration`（`deep` | `plan_execute` | `supervisor`）指定，缺省为 `deep`。**前提**：`multi_agent.enabled: true`；未启用时返回 404 JSON。支持 `webshellConnectionId`。",
|
||||
"description": "与 `POST /api/eino-agent` 请求体相同，但由 **CloudWeGo Eino** 多代理执行。编排由请求体 `orchestration`（`deep` | `plan_execute` | `supervisor`）指定，缺省为 `deep`。**前提**：`multi_agent.enabled: true`；未启用时返回 404 JSON。支持 `webshellConnectionId`。",
|
||||
"operationId": "sendMessageMultiAgent",
|
||||
"requestBody": map[string]interface{}{
|
||||
"required": true,
|
||||
@@ -1646,7 +1509,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
},
|
||||
"webshellConnectionId": map[string]interface{}{
|
||||
"type": "string",
|
||||
"description": "WebShell 连接 ID（可选，与 agent-loop 行为一致）",
|
||||
"description": "WebShell 连接 ID（可选，与 Eino 单/多代理流式行为一致）",
|
||||
},
|
||||
"orchestration": map[string]interface{}{
|
||||
"type": "string",
|
||||
@@ -1661,7 +1524,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
},
|
||||
"responses": map[string]interface{}{
|
||||
"200": map[string]interface{}{
|
||||
"description": "成功，响应格式同 /api/agent-loop",
|
||||
"description": "成功，响应格式同 /api/eino-agent",
|
||||
},
|
||||
"400": map[string]interface{}{"description": "参数错误"},
|
||||
"401": map[string]interface{}{"description": "未授权"},
|
||||
@@ -1674,7 +1537,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
"post": map[string]interface{}{
|
||||
"tags": []string{"对话交互"},
|
||||
"summary": "发送消息并获取 AI 回复（Eino 多代理，SSE）",
|
||||
"description": "与 `POST /api/agent-loop/stream` 类似；由 Eino 多代理执行。`orchestration` 指定 deep / plan_execute / supervisor，缺省 deep。**前提**：`multi_agent.enabled: true`；未启用时 SSE 内首条为 `type: error` 后接 `done`。支持 `webshellConnectionId`。",
|
||||
"description": "与 `POST /api/eino-agent/stream` 类似；由 Eino 多代理执行。`orchestration` 指定 deep / plan_execute / supervisor，缺省 deep。**前提**：`multi_agent.enabled: true`；未启用时 SSE 内首条为 `type: error` 后接 `done`。支持 `webshellConnectionId`。",
|
||||
"operationId": "sendMessageMultiAgentStream",
|
||||
"requestBody": map[string]interface{}{
|
||||
"required": true,
|
||||
@@ -4790,7 +4653,7 @@ func (h *OpenAPIHandler) GetOpenAPISpec(c *gin.Context) {
|
||||
"properties": map[string]interface{}{
|
||||
"title": map[string]interface{}{"type": "string", "description": "队列标题"},
|
||||
"role": map[string]interface{}{"type": "string", "description": "使用的角色名称"},
|
||||
"agentMode": map[string]interface{}{"type": "string", "description": "代理模式", "enum": []string{"single", "eino_single", "deep", "plan_execute", "supervisor"}},
|
||||
"agentMode": map[string]interface{}{"type": "string", "description": "代理模式", "enum": []string{"eino_single", "deep", "plan_execute", "supervisor"}},
|
||||
},
|
||||
},
|
||||
},
|
||||
|
||||
Reference in New Issue
Block a user