新增環境變數 ENABLE_THOUGHT_CHAIN 以控制任務規劃中的思考模式，並更新相關文檔以說明其功能與使用方式，提升用戶在任務分析過程中的靈活性與效率。

.env.example

@@ -8,6 +8,9 @@
 # Task data storage directory (absolute path)
 DATA_DIR=
 
+# Enable thought chain
+ENABLE_THOUGHT_CHAIN=true
+
 # ============================
 # Prompt Customization
 # ============================

README.md

@@ -153,7 +153,8 @@ Shrimp Task Manager supports customizing prompt behavior through environment var
       "env": {
         "DATA_DIR": "/path/to/project/data",
         "MCP_PROMPT_PLAN_TASK": "Custom planning guidance...",
-        "MCP_PROMPT_EXECUTE_TASK_APPEND": "Additional execution instructions..."
+        "MCP_PROMPT_EXECUTE_TASK_APPEND": "Additional execution instructions...",
+        "ENABLE_THOUGHT_CHAIN": "true"
       }
     }
   }
@@ -165,6 +166,11 @@ There are two customization methods:
 - **Override Mode** (`MCP_PROMPT_[FUNCTION_NAME]`): Completely replace the default prompt
 - **Append Mode** (`MCP_PROMPT_[FUNCTION_NAME]_APPEND`): Add content to the existing prompt
 
+Additionally, there are other system configuration variables:
+
+- **DATA_DIR**: Specifies the directory where task data is stored
+- **ENABLE_THOUGHT_CHAIN**: Controls the thinking model in task planning workflow. When set to `true` (default), the system guides users to use the `process_thought` tool for step-by-step reasoning. When set to `false`, the system directly uses `analyze_task` to submit analysis results, skipping the detailed thinking process.
+
 For detailed instructions on customizing prompts, including supported parameters and examples, see the [Prompt Customization Guide](docs/en/prompt-customization.md).
 
 ## 💡 System Prompt Guidance

docs/zh/README.md

@@ -153,7 +153,8 @@ npm run build
       "env": {
         "DATA_DIR": "/path/to/project/data",
         "MCP_PROMPT_PLAN_TASK": "自定義規劃指導...",
-        "MCP_PROMPT_EXECUTE_TASK_APPEND": "附加執行說明..."
+        "MCP_PROMPT_EXECUTE_TASK_APPEND": "附加執行說明...",
+        "ENABLE_THOUGHT_CHAIN": "true"
       }
     }
   }
@@ -165,6 +166,11 @@ npm run build
 - **覆蓋模式**（`MCP_PROMPT_[FUNCTION_NAME]`）：完全替換預設提示詞
 - **追加模式**（`MCP_PROMPT_[FUNCTION_NAME]_APPEND`）：在現有提示詞基礎上增加內容
 
+此外，還有其他系統配置變數：
+
+- **DATA_DIR**：指定任務數據存儲的目錄
+- **ENABLE_THOUGHT_CHAIN**：控制任務規劃工作流中的思考模式。當設置為 `true`（預設值）時，系統引導用戶使用 `process_thought` 工具進行逐步推理。當設置為 `false` 時，系統直接使用 `analyze_task` 提交分析結果，跳過詳細的思考過程。
+
 有關自定義提示詞的詳細說明，包括支援的參數和範例，請參閱[提示詞自定義指南](prompt-customization.md)。
 
 ## 💡 系統提示詞指導

src/index.ts

@@ -4,8 +4,6 @@ import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"
 import { z } from "zod";
 import { RelatedFileType } from "./types/index.js";
 
-console.log(process.env.DATA_DIR || "沒設定");
-
 // 導入工具函數
 import {
   planTask,

src/prompts/generators/planTask.ts

@@ -182,9 +182,16 @@ export function getPlanTaskPrompt(params: PlanTaskPromptParams): string {
   basePrompt += templates.nextStepsTemplate;
   basePrompt += templates.nextStepsContent1;
   basePrompt += templates.nextStepsContent1Detail;
-  basePrompt += templates.nextStepsContent2;
+
-  basePrompt += templates.nextStepsContent2Detail1;
+  if (process.env.ENABLE_THOUGHT_CHAIN !== "false") {
-  basePrompt += templates.nextStepsContent2Detail2;
+    basePrompt += templates.nextStepsThoughtTemplate;
+    basePrompt += templates.nextStepsThoughtDetail1;
+    basePrompt += templates.nextStepsThoughtDetail2;
+  } else {
+    basePrompt += templates.nextStepsContent2;
+    basePrompt += templates.nextStepsContent2Detail1;
+    basePrompt += templates.nextStepsContent2Detail2;
+  }
 
   // 載入可能的自定義 prompt
   return loadPrompt(basePrompt, "PLAN_TASK");

src/prompts/templates/planTask.ts

@@ -90,6 +90,10 @@ export const infoCollectionGuideItems3 = `3. **網路搜索** - 當出現你不
 export const nextStepsTemplate = `## 下一步\n\n`;
 export const nextStepsContent1 = `**第一步：根據任務描述決定是否查詢記憶**\n`;
 export const nextStepsContent1Detail = `- 判斷任務是否屬於必查情境，若是，請先使用「query_task」查詢過往記錄；否則，可直接進行分析。\n\n`;
-export const nextStepsContent2 = `**第二步：使用「process_thought」思考答案：\n`;
+export const nextStepsContent2 = `**第二步：使用 analyze_task 提交分析結果**\n`;
-export const nextStepsContent2Detail1 = `1. **思考過程** - 逐步推理過程，包括假設、驗證和調整\n`;
+export const nextStepsContent2Detail1 = `1. **任務摘要** - 目標、範圍、挑戰和限制條件\n`;
-export const nextStepsContent2Detail2 = `2. 如果不需要思考更多，請使用「analyze_task」提交分析結果\n`;
+export const nextStepsContent2Detail2 = `2. **初步解答構想** - 可行的技術方案和實施計劃\n`;
+
+export const nextStepsThoughtTemplate = `**第二步：使用「process_thought」思考答案：\n`;
+export const nextStepsThoughtDetail1 = `1. **思考過程** - 逐步推理過程，包括假設、驗證和調整\n`;
+export const nextStepsThoughtDetail2 = `2. 請務必先使用「process_thought」工具思考，禁止直接回答\n`;

src/tools/thoughtChainTools.ts

@@ -31,9 +31,15 @@ const thoughtDataSchema = z.object({
       message: "思維階段不能為空，請提供有效的思考階段",
     })
     .describe("思維階段"),
-  tags: z.array(z.string()).optional().describe("思維標籤"),
+  tags: z.array(z.string()).optional().describe("思維標籤，是一個陣列字串"),
-  axioms_used: z.array(z.string()).optional().describe("使用的公理"),
+  axioms_used: z
-  assumptions_challenged: z.array(z.string()).optional().describe("挑戰的假設"),
+    .array(z.string())
+    .optional()
+    .describe("使用的公理，是一個陣列字串"),
+  assumptions_challenged: z
+    .array(z.string())
+    .optional()
+    .describe("挑戰的假設，是一個陣列字串"),
 });
 
 /**