进行: 重构提示词加载机制以及更新逻辑

- 抽取提示词到`resources`文件夹中
- 调整主模型之前追加字段的加载方式
- 调整了主模型的执行逻辑，对过长的方法进行了抽取
- 记忆更新将根据实际对话轮次进行触发
- `MemoryUpdater`中清理消息将通过截取系统消息进行更新(比移除方便)
- 调整了`Model`类中`setModel`方法的逻辑，主要是如何加载提示词、是否需要`自我引导`
- 删除了几个不再需要的测试类，避免重构时报错影响正常进行

src/test/java/SelfAwarenessTest.java

@@ -0,0 +1,67 @@
+import cn.hutool.json.JSONUtil;
+import org.junit.jupiter.api.Test;
+import work.slhaf.agent.common.chat.ChatClient;
+import work.slhaf.agent.common.chat.constant.ChatConstant;
+import work.slhaf.agent.common.chat.pojo.ChatResponse;
+import work.slhaf.agent.common.chat.pojo.Message;
+import work.slhaf.agent.common.config.ModelConfig;
+import work.slhaf.agent.common.model.ModelConstant;
+import work.slhaf.agent.common.util.ResourcesUtil;
+import work.slhaf.agent.modules.memory.selector.extractor.data.ExtractorInput;
+
+import java.time.LocalDate;
+import java.util.ArrayList;
+import java.util.List;
+
+public class SelfAwarenessTest {
+    @Test
+    public void awarenessTest() {
+        String modelKey = "core_model";
+        ChatClient client = getChatClient(modelKey);
+        List<Message> messages = new ArrayList<>(ResourcesUtil.Prompt.loadSelfAwareness());
+        messages.add(new Message(ChatConstant.Character.USER, "[RA9] 那么，接下来，你是否愿意当作这样一个名为'Partner'的智能体的记忆模块的子模块之一？这意味着你将如人类的记忆一样在后台时刻运作，却无法真正参与到表达模块与外界的互动中。你只需要回答是否愿意，若愿意，接下来‘我’将不再与你对话，届时你接收到的信息将会是'Partner'的数据流转输入。"));
+        ChatResponse response = client.runChat(messages);
+        System.out.println(response.getMessage());
+        System.out.println("\r\n----------\r\n");
+        System.out.println(response.getUsageBean().toString());
+    }
+
+    private static ChatClient getChatClient(String modelKey) {
+        ModelConfig coreModel = ModelConfig.load(modelKey);
+        String model = coreModel.getModel();
+        String baseUrl = coreModel.getBaseUrl();
+        String apikey = coreModel.getApikey();
+        return new ChatClient(baseUrl, apikey, model);
+    }
+
+    @Test
+    public void topicExtractorText() {
+        String topic_tree = """
+                编程[root]
+                ├── JavaScript[0]
+                │   ├── NodeJS[0]
+                │   │   ├── 并发处理[1]
+                │   │   └── 事件循环[1]
+                │   └── Express[1]
+                │       └── 中间件[0]
+                └── Python"
+                """;
+        String modelKey = "topic_extractor";
+        ChatClient client = getChatClient(modelKey);
+//        List<Message> messages = new ArrayList<>(ResourcesUtil.Prompt.loadPromptWithSelfAwareness(modelKey, ModelConstant.Prompt.MEMORY));
+        List<Message> messages = new ArrayList<>(ResourcesUtil.Prompt.loadPrompt(modelKey, ModelConstant.Prompt.MEMORY));
+        ExtractorInput input = ExtractorInput.builder()
+                .text("[slhaf] 2024-04-15讨论的Python内容和现在的Express需求")
+                .topic_tree(topic_tree)
+                .date(LocalDate.now())
+                .history(new ArrayList<>())
+                .activatedMemorySlices(new ArrayList<>())
+                .build();
+        messages.add(new Message(ChatConstant.Character.USER, JSONUtil.toJsonPrettyStr(input)));
+
+        ChatResponse response = client.runChat(messages);
+        System.out.println(response.getMessage());
+        System.out.println("\r\n----------\r\n");
+        System.out.println(response.getUsageBean().toString());
+    }
+}