推进行动干预模块,前置部分逻辑已基本完成

- 在`ActionData`中添加必要注释、新增`executingStage`字段表示当前执行阶段、移除了`WAITING`的状态类型
- 调整并修正了`ActionExecutor`中的`Phaser`阻塞逻辑
- 完善了`ActionInterventor`中`识别 -> 评估 -> 异步执行`的干预逻辑，并将干预结果以 Prompt 形式回写至流程上下文，作为主模块的已知内容
- 调整了干预模块内部的各个数据类的字段结构，适配干预流程
- 完善了`InterventionEvaluator`、`InterventionHandler`、`InterventionRecognizer`等必需的干预子模块

Partner-Main/src/main/java/work/slhaf/partner/Main.java

@@ -12,7 +12,7 @@ public class Main {
                 .setAgentConfigManager(PartnerAgentConfigManager.class)
                 .setGateway(WebSocketGateway.class)
                 .setAgentExceptionCallback(PartnerExceptionCallback.class)
-                .addAfterLaunchRunners(() -> VectorClient.load())
+                .addAfterLaunchRunners(VectorClient::load)
                 .launch();
     }
 }

Partner-Main/src/main/java/work/slhaf/partner/core/action/ActionCore.java

@@ -33,7 +33,7 @@ public class ActionCore extends PartnerCore<ActionCore> {
     /**
      * 持久行动池，以用户id为键存储所有状态的任务
      */
-    private HashMap<String, List<ActionData>> actionPool = new HashMap<>();
+    private HashMap<String, List<ActionData>> actionPool = new HashMap<>();//TODO 考虑是否取消用户分池
 
     /**
      * 待确认任务，以userId区分不同用户，因为需要跨请求确认

Partner-Main/src/main/java/work/slhaf/partner/core/action/entity/ActionData.java

@@ -1,7 +1,9 @@
 package work.slhaf.partner.core.action.entity;
 
+import cn.hutool.json.JSONObject;
 import lombok.Data;
 
+import java.util.ArrayList;
 import java.util.LinkedHashMap;
 import java.util.List;
 
@@ -10,16 +12,47 @@ import java.util.List;
  */
 @Data
 public abstract class ActionData {
+    /**
+     * 行动ID
+     */
     protected String uuid;
+    /**
+     * 行动倾向
+     */
     protected String tendency;
+
+    /**
+     * 行动状态
+     */
     protected ActionStatus status;
-    protected LinkedHashMap<Integer, List<MetaAction>> actionChain;
+    /**
+     * 行动链
+     */
+    protected LinkedHashMap<Integer, List<MetaAction>> actionChain = new LinkedHashMap<>();
+    /**
+     * 行动阶段（当前阶段）
+     */
+    protected int executingStage;
+    /**
+     * 行动结果
+     */
     protected String result;
+    protected List<JSONObject> history = new ArrayList<>();
+
+    /**
+     * 行动原因
+     */
     protected String reason;
+    /**
+     * 行动描述
+     */
     protected String description;
+    /**
+     * 行动来源
+     */
     protected String source;
 
     public enum ActionStatus {
-        SUCCESS, FAILED, EXECUTING, WAITING, PREPARE
+        SUCCESS, FAILED, EXECUTING, PREPARE
     }
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/dispatcher/executor/ActionExecutor.java

@@ -51,6 +51,7 @@ public class ActionExecutor extends AgentRunningSubModule<List<ImmediateActionDa
             Phaser phaser = new Phaser();
             phaser.register();
             actionCapability.putPhaserRecord(phaser, actionData);
+            try {
                 actionChain.forEach((k, v) -> {
                     for (MetaAction metaAction : v) {
                         // 根据io类型放入合适的列表
@@ -61,40 +62,44 @@ public class ActionExecutor extends AgentRunningSubModule<List<ImmediateActionDa
                         }
                     }
                     runGroupAction(virtual, platform, actionChain, phaser);
+                    phaser.arriveAndAwaitAdvance();
                     virtual.clear();
                     platform.clear();
-                phaser.arriveAndAwaitAdvance();
                 });
+            } finally {
+                phaser.arriveAndDeregister();
                 actionCapability.removePhaserRecord(phaser);
+            }
         });
 
     }
 
     // 使用phaser来承担同组的动态任务新增
-    private void runGroupAction(List<MetaAction> virtual, List<MetaAction> platform, LinkedHashMap<Integer, List<MetaAction>> actionChain, Phaser phaser) {
+    private void runGroupAction(List<MetaAction> virtual, List<MetaAction> platform,
+                                LinkedHashMap<Integer, List<MetaAction>> actionChain, Phaser phaser) {
         runGroupAction(virtual, virtualExecutor, phaser);
         runGroupAction(platform, platformExecutor, phaser);
     }
 
     private void runGroupAction(List<MetaAction> actions, ExecutorService executor, Phaser phaser) {
+        phaser.bulkRegister(actions.size());
         for (MetaAction action : actions) {
-            phaser.register();
             executor.execute(() -> {
                 try {
                     MetaAction.Result result = action.getResult();
                     do {
                         // 该循环对应LLM的调整参数后重试
                         if (!result.isSuccess()) {
-                            //TODO LLM决策是重构参数、执行自对话反思、还是选择向用户求助(通过cognationCore暴露方法，可能需要修改其他模块以进行适应)，仅重构参数时无需结束当前循环
+                            // LLM决策是重构参数、执行自对话反思、还是选择向用户求助(通过cognationCore暴露方法，可能需要修改其他模块以进行适应)，仅重构参数时无需结束当前循环
                             // 若使用Phaser作为执行线程与反思、求助等调用流程的同步协调，应当需要额外维护Phaser全局字段，获取到反思结果或者用户反馈后，
                             // 调用对应的phaser注册任务，在ActionExecutor中动态添加任务至actionChain,同时启动异步执行
                             // 而且由于执行与放入的为同一个MetaAction对象，所以执行结果可被当前行动链获取，但virtual、executor两个列表似乎不行，需要重构执行模式，建议将行动链直接重构为LinkedHashMap，order为键
                             String input = getInput(result.getData());
-
+                            // 执行时不可使用`for in`和`forEach`，因为在`Intervention`相关模块存在动态调整
                         }
                         action.run();
                     } while (!result.isSuccess());
-                    //TODO 将执行结果写入特定对话角色记忆(cognationCore暴露方法)
+                    // TODO 将执行结果写入特定对话角色记忆(cognationCore暴露方法)
                 } finally {
                     phaser.arriveAndDeregister();
                 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/ActionInterventor.java

@@ -1,5 +1,6 @@
 package work.slhaf.partner.module.modules.action.interventor;
 
+import com.alibaba.fastjson2.JSONArray;
 import com.alibaba.fastjson2.JSONObject;
 import work.slhaf.partner.api.agent.factory.capability.annotation.InjectCapability;
 import work.slhaf.partner.api.agent.factory.module.annotation.AgentModule;
@@ -7,24 +8,32 @@ import work.slhaf.partner.api.agent.factory.module.annotation.InjectModule;
 import work.slhaf.partner.api.agent.runtime.interaction.flow.abstracts.ActivateModel;
 import work.slhaf.partner.core.action.ActionCapability;
 import work.slhaf.partner.core.action.ActionCore.PhaserRecord;
+import work.slhaf.partner.core.action.entity.ActionData;
 import work.slhaf.partner.core.cognation.CognationCapability;
 import work.slhaf.partner.core.memory.MemoryCapability;
 import work.slhaf.partner.module.common.module.PreRunningModule;
+import work.slhaf.partner.module.modules.action.interventor.entity.InterventionType;
+import work.slhaf.partner.module.modules.action.interventor.entity.MetaIntervention;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.InterventionEvaluator;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.entity.EvaluatorInput;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.entity.EvaluatorResult;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.entity.EvaluatorResult.EvaluatedInterventionData;
 import work.slhaf.partner.module.modules.action.interventor.handler.InterventionHandler;
 import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput;
-import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.HandlerInputData;
+import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.ExecutingInterventionData;
+import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.InterventionData;
+import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.PreparedInterventionData;
 import work.slhaf.partner.module.modules.action.interventor.recognizer.InterventionRecognizer;
 import work.slhaf.partner.module.modules.action.interventor.recognizer.entity.RecognizerInput;
 import work.slhaf.partner.module.modules.action.interventor.recognizer.entity.RecognizerResult;
 import work.slhaf.partner.runtime.interaction.data.context.PartnerRunningFlowContext;
 
-import java.util.*;
+import java.util.ArrayList;
-import java.util.stream.Collectors;
+import java.util.HashMap;
-
+import java.util.List;
+import java.util.Map;
+import java.util.function.Supplier;
+import java.util.stream.Stream;
 
 /**
  * 负责识别潜在的行动干预信息，作用于正在进行或已存在的行动池中内容
@@ -57,108 +66,179 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
         // 综合当前正在进行的行动链信息、用户交互历史、激活的记忆切片，尝试识别出是否存在行动干预意图
         // 首先通过recognizer进行快速意图识别，识别成功则步入评估阶段，评估成功则直接作用于目标行动链
         // 进行快速意图识别时必须结合近期对话与进行中行动链情况
+
+        // 干预意图识别
         String uuid = context.getUuid();
         String userId = context.getUserId();
         RecognizerResult recognizerResult = interventionRecognizer
-                .execute(buildRecognizerInput(userId, context.getInput())); //此处的输入内容携带了所有 PhaserRecord
+                .execute(buildRecognizerInput(userId, context.getInput())); // 此处的输入内容携带了所有 PhaserRecord
         if (!recognizerResult.isOk()) {
-            // 设置相应prompt
             setupNoInterventionPrompt(uuid);
             return;
         }
-        // 存在则进一步评估、评估通过则并直接添加行动程序至对应行动链
+
-        Map<String, PhaserRecord> recognizedInterventions = recognizerResult.getInterventions(); //这里的 PhaserRecord 已包含从 ActionCore 获取到的执行状态下的行动及其Phaser实例
+        // 干预意图评估
         EvaluatorResult evaluatorResult = interventionEvaluator
-                .execute(buildEvaluatorInput(recognizedInterventions, userId));
+                .execute(buildEvaluatorInput(recognizerResult, userId));
-        List<EvaluatedInterventionData> interventions = evaluatorResult.getDataList(); //这里的 EvaluatedInterventionData 中的 tendency 即为 recognizedInterventions 中的键
+        List<EvaluatedInterventionData> executingDataList = evaluatorResult.getExecutingDataList();
-        if (evaluatorResult.isOk() && isActionKeysExist(interventions)) {
+        List<EvaluatedInterventionData> preparedDataList = evaluatorResult.getPreparedDataList();
-            setupErrorInterventionPrompt(uuid);
+
-        } else if (evaluatorResult.isOk()) {
+        // 意图评估结果处理
+        if (evaluatorResult.isOk()) {
+            // 对存在‘异常ActionKey’的评估结果列表进行过滤
+            invalidActionKeysFilter(executingDataList);
+            invalidActionKeysFilter(preparedDataList);
+
             // 同步写入prompt，异步处理干预行为，‘异步’在 interventionHandler 中体现
-            setupInterventionPrompt(uuid, interventions);
+            setupInterventionPrompt(uuid, executingDataList, preparedDataList);
-            interventionHandler.execute(buildHandlerInput(interventions, recognizedInterventions));
+            interventionHandler.execute(buildHandlerInput(executingDataList, preparedDataList, recognizerResult));
         } else {
-            // 同步写入prompt
+            setupInterventionIgnoredPrompt(uuid, executingDataList, preparedDataList);
-            setupInterventionIgnoredPrompt(uuid, interventions);
-        }
         }
 
-    private void setupErrorInterventionPrompt(String uuid) {
-        interventionPrompt.put(uuid, Map.of(
-                "[识别状态] <是否识别到干预已存在行动的意图>", "识别出，但出现了不存在的行动单元key",
-                "[干预行动] <将对已存在行动做出的行为>", "无行为"
-        ));
     }
 
-    private boolean isActionKeysExist(List<EvaluatedInterventionData> interventions) {
+    private void invalidActionKeysFilter(List<EvaluatedInterventionData> interventions) {
+
+        List<EvaluatedInterventionData> toRemove = new ArrayList<>();
+
         for (EvaluatedInterventionData intervention : interventions) {
-            String[] array = intervention.getActions().values().toArray(new String[0]);
+            List<MetaIntervention> interventionData = intervention.getInterventionData();
-            if (!actionCapability.checkExists(array)) {
+            List<String> actions = new ArrayList<>();
+            for (MetaIntervention metaData : interventionData) {
+                actions.addAll(metaData.getActions());
+            }
+            // 如果存在异常行动key，则可视为该评估结果存在问题，直接忽略该结果
+            if (!actionCapability.checkExists(actions.toArray(String[]::new))) {
+                toRemove.add(intervention);
+            }
+
+            // 针对 REBUILD 类型进行特殊校验, REBUILD 类型必须满足所有 MetaIntervention 的类型均为 REBUILD
+            if (!checkRebuildType(interventionData)) {
+                toRemove.add(intervention);
+            }
+        }
+
+        interventions.removeAll(toRemove);
+    }
+
+    private boolean checkRebuildType(List<MetaIntervention> interventionData) {
+        boolean hasRebuild = false;
+        for (MetaIntervention meta : interventionData) {
+            if (meta.getType() == InterventionType.REBUILD) {
+                hasRebuild = true;
+            } else if (hasRebuild) {
+                // 已经存在REBUILD类型，但又发现了非REBUILD类型，不合法
                 return false;
             }
         }
+
         return true;
     }
 
-    private HandlerInput buildHandlerInput(List<EvaluatedInterventionData> interventions, Map<String,PhaserRecord> recognizedInterventions) {
+    /**
+     * @param executingDataList 对应评估结果中的‘执行中行动’
+     * @param preparedDataList  对应评估结果中的‘待执行行动’
+     * @param recognizerResult  干预识别结果，包含‘执行中’‘待执行’两类评估结果各自对应的行动数据
+     * @return 处理器输入
+     */
+    private HandlerInput buildHandlerInput(List<EvaluatedInterventionData> executingDataList,
+                                           List<EvaluatedInterventionData> preparedDataList, RecognizerResult recognizerResult) {
         HandlerInput input = new HandlerInput();
-        List<HandlerInputData> inputDataList = input.getData();
+        Map<String, PhaserRecord> executingInterventions = recognizerResult.getExecutingInterventions();
-        for (EvaluatedInterventionData interventionData : interventions) {
+        Map<String, ActionData> preparedInterventions = recognizerResult.getPreparedInterventions();
-            HandlerInputData inputData = new HandlerInputData();
+
-            inputData.setTendency(interventionData.getTendency());
+        List<ExecutingInterventionData> executing = setupInputDataList(executingDataList, executingInterventions,
-            inputData.setDescription(interventionData.getDescription());
+                ExecutingInterventionData::new);
-            inputData.setType(interventionData.getType());
+        List<PreparedInterventionData> prepared = setupInputDataList(preparedDataList, preparedInterventions,
-            inputData.setActions(interventionData.getActions());
+                PreparedInterventionData::new);
-            inputData.setRecord(recognizedInterventions.get(interventionData.getTendency()));
+
-            inputDataList.add(inputData);
+        input.setExecuting(executing);
-        }
+        input.setPrepared(prepared);
+
         return input;
     }
 
-    private void setupInterventionIgnoredPrompt(String uuid, List<EvaluatedInterventionData> dataList) {
+    /**
-        String s = dataList.stream()
+     * @param <I>               HandlerInput 中 List 对应的泛型
-                .map(data -> JSONObject.of(
+     * @param evaluatedDataList 评估结果列表
-                        "[干预倾向]", data.getTendency(),
+     * @param interventionMap   干预识别结果中的 tendency:data 映射
-                        "[未采用原因]", data.getDescription()).toString())
+     * @param factory           输入类型构建工厂
-                .collect(Collectors.joining(",", "[", "]"));
+     * @return 处理器输入(干预列表)
-        interventionPrompt.put(uuid, Map.of(
+     */
-                "[识别状态] <是否识别到干预已存在行动的意图>", "识别到，但都未采用",
+    private <I> List<I> setupInputDataList(List<EvaluatedInterventionData> evaluatedDataList,
-                "[忽略原因] <各个意图被忽略的原因>", s,
+                                           Map<String, ?> interventionMap, Supplier<I> factory) {
-                "[干预行动] <将对已存在行动做出的行为>", "无行为"
+
-        ));
+        List<I> result = new ArrayList<>();
+
+        for (EvaluatedInterventionData interventionData : evaluatedDataList) {
+
+            I data = factory.get();
+
+            if (data instanceof InterventionData inputData) {
+                inputData.setTendency(interventionData.getTendency());
+                inputData.setDescription(interventionData.getDescription());
+                inputData.setInterventions(interventionData.getInterventionData());
             }
 
-    private void setupInterventionPrompt(String uuid, List<EvaluatedInterventionData> dataList) {
+            if (data instanceof ExecutingInterventionData inputData) {
-        List<Map<String, String>> contents = new ArrayList<>();
+                inputData.setRecord((PhaserRecord) interventionMap.get(interventionData.getTendency()));
-        List<String> actions = new ArrayList<>();
+            } else if (data instanceof PreparedInterventionData inputData) {
-        for (EvaluatedInterventionData data : dataList) {
+                inputData.setActionData((ActionData) interventionMap.get(interventionData.getTendency()));
+            }
+
+            result.add(data);
+        }
+
+        return result;
+    }
+
+    private void setupInterventionIgnoredPrompt(String uuid, List<EvaluatedInterventionData> executingDataList, List<EvaluatedInterventionData> preparedDataList) {
+        List<EvaluatedInterventionData> total = Stream.concat(executingDataList.stream(), preparedDataList.stream()).toList();
+
+        JSONArray reasons = new JSONArray();
+
+        for (EvaluatedInterventionData data : total) {
+            JSONObject reason = reasons.addObject();
+            reason.put("[干预倾向]", data.getTendency());
+            reason.put("[未采用原因]", data.getDescription());
+        }
+
+        synchronized (interventionPrompt) {
+            interventionPrompt.put(uuid, Map.of(
+                    "[识别状态] <是否识别到干预已存在行动的意图>", "识别到，但都未采用",
+                    "[忽略原因] <各个意图被忽略的原因>", reasons.toString(),
+                    "[干预行动] <将对已存在行动做出的行为>", "无行为"));
+        }
+    }
+
+    private void setupInterventionPrompt(String uuid, List<EvaluatedInterventionData> executingDataList,
+                                         List<EvaluatedInterventionData> preparedDataList) {
+        JSONArray contents = new JSONArray();
+        List<EvaluatedInterventionData> temp = Stream.concat(executingDataList.stream(), preparedDataList.stream()).toList();
+
+        for (EvaluatedInterventionData data : temp) {
             if (!data.isOk()) {
                 continue;
             }
             String tendency = data.getTendency();
-            contents.add(Map.of(
+            JSONObject newElement = contents.addObject();
-                    "[干预倾向]", tendency,
+            newElement.put("[干预倾向]", tendency);
-                    "[干预类型]", data.getType().toString(),
+            JSONArray changes = newElement.putArray("[行动链变动情况]");
-                    "[行动链变动情况]", getActionChainStr(data.getActions())
+
-            ));
+            for (MetaIntervention intervention : data.getInterventionData()) {
-            actions.add(tendency);
+                JSONObject change = changes.addObject();
+                change.put("[干预类型]", intervention.getType());
+                change.put("[干预序号]", intervention.getOrder());
+                change.putArray("[干预内容]").addAll(intervention.getActions());
+            }
         }
 
-
+        synchronized (interventionPrompt) {
             interventionPrompt.put(uuid, Map.of(
                     "[识别状态] <是否识别到干预已存在行动的意图>", "识别到，将采用",
-                "[具体内容] <各个干预意图对应的具体信息>", contents.toString(),
+                    "[干预内容] <将对已存在行动做出的行为>", contents.toString()));
-                "[干预行动] <将对已存在行动做出的行为>", actions.toString()
-        ));
         }
-
-    private String getActionChainStr(LinkedHashMap<Integer, String> actions) {
-        ArrayList<String> list = new ArrayList<>();
-        //虽说actionCapability那边做了异常抛出，但说实话很明显放在这里不好处理啊🤔，还是在前边统一检查一下吧
-        actions.forEach((order, actionKey) -> {
-            list.add(order + ":" + actionCapability.loadMetaActionInfo(actionKey).getDescription());
-        });
-        return list.toString();
     }
 
     private void setupNoInterventionPrompt(String uuid) {
@@ -167,9 +247,10 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
                 "[干预行动] <将对已存在行动做出的行为>", "无行动"));
     }
 
-    private EvaluatorInput buildEvaluatorInput(Map<String,PhaserRecord> recognizedInterventions, String userId) {
+    private EvaluatorInput buildEvaluatorInput(RecognizerResult recognizerResult, String userId) {
         EvaluatorInput input = new EvaluatorInput();
-        input.setInterventionTendencies(recognizedInterventions);
+        input.setExecutingInterventions(recognizerResult.getExecutingInterventions());
+        input.setPreparedInterventions(recognizerResult.getPreparedInterventions());
         input.setRecentMessages(cognationCapability.getChatMessages());
         input.setActivatedSlices(memoryCapability.getActivatedSlices(userId));
         return input;
@@ -182,6 +263,7 @@ public class ActionInterventor extends PreRunningModule implements ActivateModel
         // 参考的对话列表大小或需调整
         recognizerInput.setRecentMessages(cognationCapability.getChatMessages());
         recognizerInput.setExecutingActions(actionCapability.listPhaserRecords());
+        recognizerInput.setPreparedActions(actionCapability.listPreparedAction(userId));
         return recognizerInput;
     }
 

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/entity/InterventionType.java

@@ -1,4 +1,4 @@
-package work.slhaf.partner.module.modules.action.interventor.handler.entity;
+package work.slhaf.partner.module.modules.action.interventor.entity;
 
 public enum InterventionType {
     /**

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/entity/MetaIntervention.java

@@ -0,0 +1,21 @@
+package work.slhaf.partner.module.modules.action.interventor.entity;
+
+import lombok.Data;
+
+import java.util.List;
+
+@Data
+public class MetaIntervention {
+    /**
+     * 干预数据类型
+     */
+    private InterventionType type;
+    /**
+     * 干预数据对应的行动链序列
+     */
+    private int order;
+    /**
+     * 干预数据所需的行动key列表
+     */
+    private List<String> actions;
+}

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/evaluator/InterventionEvaluator.java

@@ -1,14 +1,6 @@
 package work.slhaf.partner.module.modules.action.interventor.evaluator;
 
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-import java.util.concurrent.CountDownLatch;
-import java.util.concurrent.ExecutorService;
-
-import com.alibaba.fastjson2.JSONArray;
 import com.alibaba.fastjson2.JSONObject;
-
 import lombok.extern.slf4j.Slf4j;
 import work.slhaf.partner.api.agent.factory.capability.annotation.InjectCapability;
 import work.slhaf.partner.api.agent.factory.module.annotation.AgentSubModule;
@@ -19,11 +11,17 @@ import work.slhaf.partner.api.chat.pojo.Message;
 import work.slhaf.partner.core.action.ActionCapability;
 import work.slhaf.partner.core.action.ActionCore.ExecutorType;
 import work.slhaf.partner.core.action.ActionCore.PhaserRecord;
+import work.slhaf.partner.core.action.entity.ActionData;
 import work.slhaf.partner.core.memory.pojo.EvaluatedSlice;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.entity.EvaluatorInput;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.entity.EvaluatorResult;
 import work.slhaf.partner.module.modules.action.interventor.evaluator.entity.EvaluatorResult.EvaluatedInterventionData;
 
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.CountDownLatch;
+import java.util.concurrent.ExecutorService;
+
 @Slf4j
 @AgentSubModule
 public class InterventionEvaluator extends AgentRunningSubModule<EvaluatorInput, EvaluatorResult>
@@ -32,35 +30,26 @@ public class InterventionEvaluator extends AgentRunningSubModule<EvaluatorInput,
     @InjectCapability
     private ActionCapability actionCapability;
 
+    /**
+     * 基于干预意图、记忆切片、交互上下文、已有行动程序综合评估，尝试评估并选取出合适的行动程序，交付给 ActionInterventor
+     */
     @Override
-    public EvaluatorResult execute(EvaluatorInput data) {
+    public EvaluatorResult execute(EvaluatorInput input) {
-        // 基于干预意图、记忆切片、交互上下文、已有行动程序综合评估，尝试评估并选取出合适的行动程序，交付给 ActionInterventor
+        // 获取必须数据
-        EvaluatorResult result = new EvaluatorResult();
-        List<EvaluatedInterventionData> evaluatedDataList = result.getDataList();
-
-        Map<String, PhaserRecord> interventionTendencies = data.getInterventionTendencies();
-        Set<String> tendencies = interventionTendencies.keySet();
         ExecutorService executor = actionCapability.getExecutor(ExecutorType.VIRTUAL);
+        Map<String, PhaserRecord> executingInterventions = input.getExecutingInterventions();
+        Map<String, ActionData> preparedInterventions = input.getPreparedInterventions();
+        CountDownLatch latch = new CountDownLatch(executingInterventions.size() + preparedInterventions.size());
+
+        // 创建结果容器
+        EvaluatorResult result = new EvaluatorResult();
+        List<EvaluatedInterventionData> executingDataList = result.getExecutingDataList();
+        List<EvaluatedInterventionData> preparedDataList = result.getPreparedDataList();
+
+        // 并发评估
+        evaluateIntervention(executingDataList, executingInterventions, input, executor, latch);
+        evaluateIntervention(preparedDataList, preparedInterventions, input, executor, latch);
 
-        CountDownLatch latch = new CountDownLatch(tendencies.size());
-        tendencies.forEach(tendency -> {
-            executor.execute(() -> {
-                try {
-                    String input = buildPrompt(data.getRecentMessages(), data.getActivatedSlices(),
-                            interventionTendencies.get(tendency), tendency);
-                    ChatResponse response = singleChat(input);
-                    EvaluatedInterventionData evaluatedData = JSONObject.parseObject(response.getMessage(),
-                            EvaluatedInterventionData.class);
-                    synchronized (evaluatedDataList) {
-                        evaluatedDataList.add(evaluatedData);
-                    }
-                } catch (Exception e) {
-                    log.error("干预意图评估出错: " + tendency, e);
-                } finally {
-                    latch.countDown();
-                }
-            });
-        });
         try {
             latch.await();
         } catch (InterruptedException e) {
@@ -70,13 +59,39 @@ public class InterventionEvaluator extends AgentRunningSubModule<EvaluatorInput,
         return result;
     }
 
+    private <T> void evaluateIntervention(List<EvaluatedInterventionData> evaluatedDataList, Map<String, T> interventionMap, EvaluatorInput input, ExecutorService executor, CountDownLatch latch) {
+        interventionMap.forEach((tendency, data) -> {
+            executor.execute(() -> {
+                try {
+                    ActionData actionData = switch (data) {
+                        case PhaserRecord record -> record.actionData();
+                        case ActionData tempData -> tempData;
+                        default -> null;
+                    };
+                    String prompt = buildPrompt(input.getRecentMessages(), input.getActivatedSlices(), actionData, tendency);
+
+                    ChatResponse response = this.singleChat(prompt);
+                    EvaluatedInterventionData evaluatedData = JSONObject.parseObject(response.getMessage(),
+                            EvaluatedInterventionData.class);
+                    synchronized (evaluatedDataList) {
+                        evaluatedDataList.add(evaluatedData);
+                    }
+                } catch (Exception e) {
+                    log.error("干预意图评估出错: {}", tendency, e);
+                } finally {
+                    latch.countDown();
+                }
+            });
+        });
+    }
+
     private String buildPrompt(List<Message> recentMessages, List<EvaluatedSlice> activatedSlices,
-            PhaserRecord phaserRecord, String tendency) {
+                               ActionData actionData, String tendency) {
         JSONObject json = new JSONObject();
         json.put("干预倾向", tendency);
         json.putArray("近期对话").addAll(recentMessages);
         json.putArray("参考记忆").addAll(activatedSlices);
-        json.put("将干预的行动", JSONObject.toJSONString(phaserRecord.actionData()));
+        json.put("将干预的行动", JSONObject.toJSONString(actionData));
         return json.toJSONString();
     }
 

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/evaluator/entity/EvaluatorInput.java

@@ -3,6 +3,7 @@ package work.slhaf.partner.module.modules.action.interventor.evaluator.entity;
 import lombok.Data;
 import work.slhaf.partner.api.chat.pojo.Message;
 import work.slhaf.partner.core.action.ActionCore.PhaserRecord;
+import work.slhaf.partner.core.action.entity.ActionData;
 import work.slhaf.partner.core.memory.pojo.EvaluatedSlice;
 
 import java.util.List;
@@ -10,7 +11,8 @@ import java.util.Map;
 
 @Data
 public class EvaluatorInput {
-    private Map<String,PhaserRecord> interventionTendencies;
+    private Map<String, PhaserRecord> executingInterventions;
+    private Map<String, ActionData> preparedInterventions;
     private List<EvaluatedSlice> activatedSlices;
     private List<Message> recentMessages;
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/evaluator/entity/EvaluatorResult.java

@@ -1,11 +1,9 @@
 package work.slhaf.partner.module.modules.action.interventor.evaluator.entity;
 
-import java.util.ArrayList;
-import java.util.LinkedHashMap;
-import java.util.List;
-
 import lombok.Data;
-import work.slhaf.partner.module.modules.action.interventor.handler.entity.InterventionType;
+import work.slhaf.partner.module.modules.action.interventor.entity.MetaIntervention;
+
+import java.util.List;
 
 /**
  * 干预倾向评估结果，包含评估通过的倾向文本、对行动链的行为、指定操作的行动单元key、未通过的原因
@@ -16,7 +14,8 @@ public class EvaluatorResult {
      * 是否存在通过的干预倾向
      */
     private boolean ok;
-    private List<EvaluatedInterventionData> dataList = new ArrayList<>();
+    private List<EvaluatedInterventionData> executingDataList;
+    private List<EvaluatedInterventionData> preparedDataList;
 
     @Data
     public static class EvaluatedInterventionData {
@@ -29,10 +28,6 @@ public class EvaluatorResult {
          * 描述信息(包括通过、失败原因)
          */
         private String description;
-        private InterventionType type;
+        private List<MetaIntervention> interventionData;
-        /**
-         * 键为执行顺序，值为行动单元对应的key
-         */
-        private LinkedHashMap<Integer, String> actions;
     }
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/handler/InterventionHandler.java

@@ -1,16 +1,27 @@
 package work.slhaf.partner.module.modules.action.interventor.handler;
 
-import java.util.List;
-import java.util.concurrent.ExecutorService;
-
 import lombok.extern.slf4j.Slf4j;
 import work.slhaf.partner.api.agent.factory.capability.annotation.InjectCapability;
 import work.slhaf.partner.api.agent.factory.module.annotation.AgentSubModule;
 import work.slhaf.partner.api.agent.runtime.interaction.flow.abstracts.AgentRunningSubModule;
 import work.slhaf.partner.core.action.ActionCapability;
 import work.slhaf.partner.core.action.ActionCore.ExecutorType;
+import work.slhaf.partner.core.action.ActionCore.PhaserRecord;
+import work.slhaf.partner.core.action.entity.ActionData;
+import work.slhaf.partner.core.action.entity.ActionData.ActionStatus;
+import work.slhaf.partner.core.action.entity.MetaAction;
+import work.slhaf.partner.module.modules.action.interventor.entity.InterventionType;
+import work.slhaf.partner.module.modules.action.interventor.entity.MetaIntervention;
 import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput;
-import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.HandlerInputData;
+import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.ExecutingInterventionData;
+import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.InterventionData;
+import work.slhaf.partner.module.modules.action.interventor.handler.entity.HandlerInput.PreparedInterventionData;
+
+import java.util.Comparator;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Phaser;
 
 @Slf4j
 @AgentSubModule
@@ -19,18 +30,159 @@ public class InterventionHandler extends AgentRunningSubModule<HandlerInput, Voi
     @InjectCapability
     private ActionCapability actionCapability;
 
+    /**
+     * 针对‘行动干预’做出处理
+     *
+     * @param data 行动干预输入
+     * @return 无返回值
+     */
     @Override
     public Void execute(HandlerInput data) {
         ExecutorService executor = actionCapability.getExecutor(ExecutorType.VIRTUAL);
-        executor.execute(() -> {
+        handle(data.getExecuting(), executor);
-            log.debug("干预开始执行");
+        handle(data.getPrepared(), executor);
-            List<HandlerInputData> dataList = data.getData();
-            for (HandlerInputData inputData : dataList) {
-                log.debug("干预操作: {}, 干预类型: {}",inputData.getTendency(),inputData.getType());
-                
-            }
-        });
         return null;
     }
 
+    private void handle(List<? extends InterventionData> executing, ExecutorService executor) {
+        executor.execute(() -> {
+            executing.forEach(interventionData -> {
+                // 干预逻辑一致
+                // 同步操作不同
+                // HandlerAction 抽取同步逻辑
+                // 此处进行遍历 intervention
+                // 根据Intervention类型进行分发
+
+                List<MetaIntervention> interventions = interventionData.getInterventions();
+                if (interventionData instanceof ExecutingInterventionData data) {
+                    handleInterventions(interventions, data.getRecord());
+                } else if (interventionData instanceof PreparedInterventionData data) {
+                    handleInterventions(interventions, data.getActionData());
+                }
+
+            });
+        });
+    }
+
+    private <T> void handleInterventions(List<MetaIntervention> interventions, T data) {
+        // 加载数据
+        Phaser phaser = null;
+        ActionData actionData = switch (data) {
+            case PhaserRecord record -> {
+                phaser = record.phaser();
+                yield record.actionData();
+            }
+            case ActionData tempData -> tempData;
+            default -> null;
+        };
+        if (actionData == null) {
+            return;
+        }
+
+        // 加锁确保同步
+        synchronized (actionData) {
+            applyInterventions(interventions, actionData, phaser);
+        }
+    }
+
+    private void applyInterventions(List<MetaIntervention> interventions, ActionData actionData, Phaser phaser) {
+        boolean rebuildCleanTag = false;
+
+        interventions.sort(Comparator.comparingInt(MetaIntervention::getOrder));
+
+        for (MetaIntervention intervention : interventions) {
+            List<MetaAction> actions = intervention.getActions()
+                    .stream()
+                    .map(actionKey -> actionCapability.loadMetaAction(actionKey))
+                    .toList();
+
+            switch (intervention.getType()) {
+                case InterventionType.APPEND -> handleAppend(actionData, intervention.getOrder(), actions);
+                case InterventionType.INSERT -> handleInsert(actionData, intervention.getOrder(), actions, phaser);
+                case InterventionType.DELETE -> handleDelete(actionData, intervention.getOrder(), actions);
+                case InterventionType.CANCEL -> handleCancel(actionData);
+                case InterventionType.REBUILD -> {
+                    if (!rebuildCleanTag) {
+                        cleanActionData(actionData);
+                        rebuildCleanTag = true;
+                    }
+                    handleRebuild(actionData, intervention.getOrder(), actions);
+                }
+            }
+        }
+
+    }
+
+    /**
+     * 在未进入执行阶段的行动单元组新增新的行动
+     */
+    private void handleAppend(ActionData actionData, int order, List<MetaAction> actions) {
+        if (order <= actionData.getExecutingStage()) return;
+
+        actionData.getActionChain().put(order, actions);
+    }
+
+    /**
+     * 在未进入执行阶段和正处于行动阶段的行动单元组插入新的行动, 如果插入位置正处于执行阶段, 则启动执行线程, 通过 Phaser 确保同步
+     */
+    private void handleInsert(ActionData actionData, int order, List<MetaAction> actions, Phaser phaser) {
+        if (order < actionData.getExecutingStage()) return;
+
+        phaser.register();
+        try {
+            LinkedHashMap<Integer, List<MetaAction>> actionChain = actionData.getActionChain();
+            actionChain.put(order, actions);
+
+            if (order == actionData.getExecutingStage()) {
+                ExecutorService virtualExecutor = actionCapability.getExecutor(ExecutorType.VIRTUAL);
+                ExecutorService platformExecutor = actionCapability.getExecutor(ExecutorType.PLATFORM);
+                ExecutorService executor;
+                phaser.bulkRegister(actions.size());
+
+                for (MetaAction action : actions) {
+                    executor = action.isIo() ? virtualExecutor : platformExecutor;
+                    executor.execute(() -> {
+                        try {
+                            action.run();
+                        } finally {
+                            phaser.arriveAndDeregister();
+                        }
+                    });
+                }
+
+            }
+        } finally {
+            phaser.arriveAndDeregister();
+        }
+    }
+
+    private void handleDelete(ActionData actionData, int order, List<MetaAction> actions) {
+        if (order <= actionData.getExecutingStage()) return;
+
+        LinkedHashMap<Integer, List<MetaAction>> actionChain = actionData.getActionChain();
+        if (actionChain.containsKey(order)) {
+            actionChain.get(order).removeAll(actions);
+            if (actionChain.get(order).isEmpty()) {
+                actionChain.remove(order);
+            }
+        }
+    }
+
+    private void handleCancel(ActionData actionData) {
+        actionData.setStatus(ActionStatus.FAILED);
+        actionData.setResult("行动取消");
+    }
+
+    private void handleRebuild(ActionData actionData, int order, List<MetaAction> actions) {
+        LinkedHashMap<Integer, List<MetaAction>> actionChain = actionData.getActionChain();
+        actionChain.put(order, actions);
+    }
+
+    private void cleanActionData(ActionData actionData) {
+        actionData.getActionChain().clear();
+        actionData.setExecutingStage(0);
+        actionData.setStatus(ActionStatus.PREPARE);
+        actionData.getHistory().clear();
+    }
+
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/handler/entity/HandlerInput.java

@@ -1,23 +1,39 @@
 package work.slhaf.partner.module.modules.action.interventor.handler.entity;
 
-import java.util.ArrayList;
-import java.util.LinkedHashMap;
-import java.util.List;
-
 import lombok.Data;
+import lombok.EqualsAndHashCode;
 import work.slhaf.partner.core.action.ActionCore.PhaserRecord;
+import work.slhaf.partner.core.action.entity.ActionData;
+import work.slhaf.partner.module.modules.action.interventor.entity.MetaIntervention;
+
+import java.util.List;
 
 @Data
 public class HandlerInput {
 
-    private List<HandlerInputData> data = new ArrayList<>();
+    private List<ExecutingInterventionData> executing;
+    private List<PreparedInterventionData> prepared;
 
     @Data
-    public static class HandlerInputData{
+    @EqualsAndHashCode(callSuper = true)
-        private String tendency;
+    public static class ExecutingInterventionData extends InterventionData {
-        private String description;
-        private InterventionType type;
-        private LinkedHashMap<Integer,String> actions;
         private PhaserRecord record;
     }
+
+    @Data
+    @EqualsAndHashCode(callSuper = true)
+    public static class PreparedInterventionData extends InterventionData {
+        private ActionData actionData;
+    }
+
+    /**
+     * 针对一个干预倾向而言，有可能针对一个行动数据做出多种、不同类型的干预操作，即封装为 InterventionData 内部的 MetaIntervention 列表
+     */
+    @Data
+    public static abstract class InterventionData {
+        protected String tendency;
+        protected String description;
+        protected List<MetaIntervention> interventions;
+    }
+
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/recognizer/InterventionRecognizer.java

@@ -28,30 +28,21 @@ public class InterventionRecognizer extends AgentRunningSubModule<RecognizerInpu
 
     @Override
     public RecognizerResult execute(RecognizerInput input) {
-        //使用LLM进行快速意图识别
+        // 获取必须数据
         ExecutorService executor = actionCapability.getExecutor(ActionCore.ExecutorType.VIRTUAL);
-        RecognizerResult recognizerResult = new RecognizerResult();
-        Map<String, ActionCore.PhaserRecord> resultInterventionMap = recognizerResult.getInterventions();
         List<ActionCore.PhaserRecord> executingActions = input.getExecutingActions();
-        CountDownLatch countDownLatch = new CountDownLatch(executingActions.size());
+        List<ActionData> preparedActions = input.getPreparedActions();
-        for (ActionCore.PhaserRecord record : executingActions) {
+        CountDownLatch countDownLatch = new CountDownLatch(executingActions.size() + preparedActions.size());
-            executor.execute(() -> {
+
-                try {
+        // 创建结果容器
-                    String prompt = buildPrompt(record, input);
+        RecognizerResult recognizerResult = new RecognizerResult();
-                    ChatResponse response = this.singleChat(prompt);
+        Map<String, ActionCore.PhaserRecord> executingInterventions = recognizerResult.getExecutingInterventions();
-                    MetaRecognizerResult result = JSONObject.parseObject(response.getMessage(), MetaRecognizerResult.class);
+        Map<String, ActionData> preparedInterventions = recognizerResult.getPreparedInterventions();
-                    if (result.isOk()) {
+
-                        synchronized (resultInterventionMap) {
+        // 执行识别操作
-                            resultInterventionMap.put(result.getIntervention(), record);
+        recognizeIntervention(executingInterventions, executingActions, executor, input, countDownLatch);
-                        }
+        recognizeIntervention(preparedInterventions, preparedActions, executor, input, countDownLatch);
-                    }
+
-                } catch (Exception e) {
-                    log.error("LLM干预意图提取出错", e);
-                } finally {
-                    countDownLatch.countDown();
-                }
-            });
-        }
         try {
             countDownLatch.await();
         } catch (InterruptedException e) {
@@ -60,12 +51,40 @@ public class InterventionRecognizer extends AgentRunningSubModule<RecognizerInpu
         return recognizerResult;
     }
 
-    private String buildPrompt(ActionCore.PhaserRecord record, RecognizerInput input) {
+    private <T> void recognizeIntervention(Map<String, T> interventionsMap, List<T> actions, ExecutorService executor, RecognizerInput input, CountDownLatch latch) {
-        ActionData actionData = record.actionData();
+        for (T data : actions) {
+            executor.execute(() -> {
+                try {
+                    String prompt = buildPrompt(data, input);
+                    ChatResponse response = this.singleChat(prompt);
+                    MetaRecognizerResult result = JSONObject.parseObject(response.getMessage(), MetaRecognizerResult.class);
+                    if (result.isOk()) {
+                        synchronized (interventionsMap) {
+                            interventionsMap.put(result.getIntervention(), data);
+                        }
+                    }
+                } catch (Exception e) {
+                    log.error("LLM干预意图提取出错", e);
+                } finally {
+                    latch.countDown();
+                }
+            });
+        }
+    }
+
+    private <T> String buildPrompt(T data, RecognizerInput input) {
+        ActionData actionData = switch (data) {
+            case ActionCore.PhaserRecord record -> record.actionData();
+            case ActionData tempData -> tempData;
+            default -> null;
+        };
+        if (actionData == null) {
+            return null;
+        }
         JSONObject json = new JSONObject();
 
         JSONObject actionInfo = json.putObject("行动信息");
-        actionInfo.put("行动倾向", actionData.getStatus());
+        actionInfo.put("行动倾向", actionData.getTendency());
         actionInfo.put("行动原因", actionData.getReason());
         actionInfo.put("行动描述", actionData.getDescription());
         actionInfo.put("行动状态", actionData.getStatus());

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/recognizer/entity/RecognizerInput.java

@@ -3,6 +3,7 @@ package work.slhaf.partner.module.modules.action.interventor.recognizer.entity;
 import lombok.Data;
 import work.slhaf.partner.api.chat.pojo.Message;
 import work.slhaf.partner.core.action.ActionCore;
+import work.slhaf.partner.core.action.entity.ActionData;
 
 import java.util.List;
 
@@ -18,4 +19,5 @@ public class RecognizerInput {
      * 正在执行的行动-Phaser记录列表，在Recognizer中结合本次输入并发评估(考虑到不同行动链之间对LLM的影响)
      */
     private List<ActionCore.PhaserRecord> executingActions;
+    private List<ActionData> preparedActions;
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/interventor/recognizer/entity/RecognizerResult.java

@@ -2,6 +2,7 @@ package work.slhaf.partner.module.modules.action.interventor.recognizer.entity;
 
 import lombok.Data;
 import work.slhaf.partner.core.action.ActionCore;
+import work.slhaf.partner.core.action.entity.ActionData;
 
 import java.util.HashMap;
 import java.util.Map;
@@ -12,10 +13,18 @@ public class RecognizerResult {
     private boolean ok;
 
     /**
+     * <h4>将被干预的‘执行中行动’</h4>
      * key: 干预倾向
      * <br/>
      * value: 干预倾向将作用的 phaser 记录
      */
-    private Map<String, ActionCore.PhaserRecord> interventions = new HashMap<>();
+    private Map<String, ActionCore.PhaserRecord> executingInterventions = new HashMap<>();
 
+    /**
+     * <h4>将被干预的‘等待中行动’</h4>
+     * key: 干预倾向
+     * <br/>
+     * value: 干预倾向将作用的行动数据
+     */
+    private Map<String, ActionData> preparedInterventions = new HashMap<>();
 }

Partner-Main/src/main/java/work/slhaf/partner/module/modules/action/planner/ActionPlanner.java

@@ -235,7 +235,7 @@ public class ActionPlanner extends PreRunningModule {
             return switch (evaluatorResult.getType()) {
                 case PLANNING -> {
                     ScheduledActionData actionInfo = new ScheduledActionData();
-                    actionInfo.setActionChain(actionChain);
+                    actionInfo.getActionChain().putAll(actionChain);
                     actionInfo.setScheduleContent(evaluatorResult.getScheduleContent());
                     actionInfo.setStatus(ActionData.ActionStatus.PREPARE);
                     actionInfo.setUuid(UUID.randomUUID().toString());
@@ -243,7 +243,7 @@ public class ActionPlanner extends PreRunningModule {
                 }
                 case IMMEDIATE -> {
                     ImmediateActionData actionInfo = new ImmediateActionData();
-                    actionInfo.setActionChain(actionChain);
+                    actionInfo.getActionChain().putAll(actionChain);
                     actionInfo.setStatus(ActionData.ActionStatus.PREPARE);
                     actionInfo.setUuid(UUID.randomUUID().toString());
                     yield actionInfo;