docs(workflow): loop run node user documentation (#7098)

* docs(workflow): loop run node user documentation

* docs: add 4.15.0 beta5 release notes

* docs: compress documentation images

* doc

---------

Co-authored-by: archer <545436317@qq.com>

document/content/guide/build/workflow/nodes/loop_run.en.mdx

+---
+title: Loop
+description: FastGPT Loop node overview and usage (applicable to version 4.15.0 and above)
+---
+
+## Node Overview
+
+The **Loop Node** allows you to repeatedly execute a sub-workflow. Whether you want to process a batch of data item by item (Array Loop), or iteratively optimize a task until it meets a specific standard (Conditional Loop), the Loop Node makes it easy.
+
+![Loop Node](/imgs/fastgpt-loop-run-node.png)
+
+Ideal for scenarios such as:
+
+- Summarizing paragraph chunks of a long article one by one (Array Loop)
+- Refining an AI draft and repeatedly revising it if the score is below 80, until it passes (Conditional Loop)
+- Calling external APIs sequentially in batches
+
+---
+
+## Core Features & Loop Modes
+
+The Loop Node provides two running modes.
+
+### 1. Array Loop
+
+- **How it works**: Iterates through a provided array (e.g., article paragraphs), processing one element per iteration.
+- **Data Injection**: During each iteration, the **Loop Start** node automatically outputs `Current Item` and `Current Index` (0-based).
+
+### 2. Conditional Loop
+
+- **How it works**: Runs repeatedly based on conditions instead of an array, until a **Loop Break** node is executed.
+- **Requirement**: **Must contain at least one Loop Break node** inside the loop container, otherwise saving or running the workflow will result in an error.
+- **Data Injection**: During each iteration, the **Loop Start** node automatically outputs `Current Loop Count` (1-based).
+
+### 3. Error Handling & User Interaction
+
+- **Preserving Prior Run Logs**: If a loop fails at some point, the logs and results from previous successful iterations are kept. You can inspect the step-by-step trace in "Execution Details" to easily spot what went wrong.
+- **User Interaction Support**: Supports nodes that require user input (like Form Input) inside the loop. The loop will temporarily pause when reaching these nodes and automatically resume running from where it paused once the user completes the input.
+
+---
+
+## Parameter Descriptions
+
+### Inputs
+
+| Parameter     | Required | Default    | Description                                                                                                                          |
+| :------------ | :------- | :--------- | :----------------------------------------------------------------------------------------------------------------------------------- |
+| **Loop Type** | Yes      | Array Loop | Choose between `Array Loop` (array) or `Conditional Loop` (conditional).                                                             |
+| **Array**     | Yes      | -          | _(Visible only in Array Loop mode)_ The list of data to process. Typically referenced from a preceding node's array output.          |
+| **Loop Body** | Yes      | -          | The sub-workflow to execute inside the container, starting from the **Loop Start** node (can be exited via the **Loop Break** node). |
+
+### Outputs
+
+| Parameter          | Type     | Description                                                                                                                                                                                                                                         |
+| :----------------- | :------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Error Text**     | `string` | The error message if the loop terminates abnormally due to an error.                                                                                                                                                                                |
+| **Custom Outputs** | Any      | Users can add custom outputs by typing a variable name in the node's **Output area** and binding it to an internal node's variable reference. When the node finishes running, it outputs the values from the final iteration (or upon termination). |
+
+---
+
+## Important Caveats & Best Practices
+
+1. **No Nesting**
+   - You cannot place another **Loop Node** or **Parallel Run** node inside a Loop Node.
+2. **Returns the Final Iteration Only**
+   - The custom outputs on the Loop Node only hold the values from the **last iteration** when the loop exits (it no longer aggregates all outputs into a single array).
+   - **How to aggregate results from all iterations?**  
+     If you need to collect and aggregate data from all runs into a list, declare an array variable **outside** the Loop Node as a global variable, and use a **Variable Update** node **inside** the loop body to append the result of each iteration into that global array.
+3. **Prevent Infinite Loops**
+   - For Conditional Loops, ensure that a **Loop Break** node is reachable under certain conditions.
+   - The system enforces a maximum iteration limit (default 100). The loop will automatically terminate and throw an error if this limit is reached.
+
+---
+
+## Deployment Settings
+
+For self-hosted developers or operators, you can adjust the execution limits of the Loop Node via the following environment variable:
+
+| Environment Variable      | Default | Description                                                                                                                            |
+| :------------------------ | :------ | :------------------------------------------------------------------------------------------------------------------------------------- |
+| `WORKFLOW_MAX_LOOP_TIMES` | 100     | The maximum length of input arrays and the maximum iteration limit for Conditional Loops (shared by both Loop and Parallel Run nodes). |
+
+## Example Scenario: AI Copy Refinement Until Approval
+
+This example demonstrates how to use the **Conditional Loop** mode to allow the AI to optimize copy over multiple rounds, evaluating it through scoring logic at each iteration until the score passes a set threshold. This represents a key advantage of the Loop node—correcting drafts based on feedback from previous runs.
+
+![AI Copy Refinement Scenario Example](/imgs/fastgpt-loop-run-example.png)
+
+#### Implementation Steps
+
+1. **Set Loop Type**
+   - Loop Type: `Conditional Loop`.
+
+2. **Configure Sub-Workflow inside the Loop Body**
+   - **【AI Chat】(Copy Refinement)**: Receives the draft inputs.
+   - **【AI Chat#2】(Evaluation)**: Grades the refined draft, outputting a numeric score.
+   - **【Condition】**:
+     - If the score meets the requirements: Route to the **【Assigned Reply】** node (to output the final copy to the user), then connect it to the **【Loop Break】** node to exit the loop.
+     - If the score does not meet the requirements: Do not trigger any subsequent connections. The loop will automatically start the next iteration using the draft polished in this round.
+
+3. **Configure Outputs**
+   - Add a custom output `final_text` in the **Outputs** panel of the Loop Node, referencing the reply of the 【AI Chat (Copy Refinement)】 node inside.
+   - Once the loop exits, downstream nodes can reference this `final_text` variable to receive the final polished copy.
+
+#### Execution Flow & Details
+
+After the execution completes, you can expand and inspect the detailed execution path of each iteration in the "Complete Response" panel:
+
+![Execution Flow Details](/imgs/fastgpt-loop-run-detail.png)
+
+1. **First Optimization Round**: Runs `Loop Start` ➡️ `AI Chat` ➡️ `AI Chat#2` ➡️ `Condition`. Since the score did not meet the requirements, the break node was not triggered, and the system automatically proceeded to the next iteration.
+2. **Second Optimization Round**: Continues running `AI Chat` ➡️ `AI Chat#2` ➡️ `Condition`. This time the score meets the requirements, routing to the `Assigned Reply` and triggering the `Loop Break` node. The entire loop exits safely.

document/content/guide/build/workflow/nodes/loop_run.mdx

+---
+title: 循环节点
+description: FastGPT 循环节点介绍和使用（适用于 4.15.0 及以上版本）
+---
+
+## 节点概述
+
+【**循环节点**】用于在工作流中重复执行同一段子工作流。无论您是想对一批数据逐个进行处理（数组循环），还是需要把一个任务反复迭代优化直到符合特定标准为止（条件循环），循环节点都能帮您轻松实现。
+
+![循环节点](/imgs/fastgpt-loop-run-node.png)
+
+适合以下任务场景：
+
+- 依次总结一批长文章的段落（数组循环）
+- 让 AI 生成方案并不断评估，若评分低于 80 分就重复修改，直到达标再退出（条件循环）
+- 批量且顺序地调用外部 API
+
+---
+
+## 核心功能与运行模式
+
+循环节点提供两种核心运行模式。
+
+### 1. 数组循环 (Array Loop)
+
+- **原理**：依次遍历您传入的数组（如文章段落列表），每轮处理一个元素。
+- **数据注入**：每轮循环开始时，【循环开始】节点会自动输出 `当前元素` 与 `当前下标`（从 `0` 开始）。
+
+### 2. 条件循环 (Conditional Loop)
+
+- **原理**：不依赖特定数组，持续重复执行循环体，直到触发内部的【循环终止】节点。
+- **要求**：循环体内部**必须包含至少一个【循环终止】节点**，否则工作流在保存或执行时会报错。
+- **数据注入**：每轮循环开始时，【循环开始】节点会自动输出 `当前循环次数`（从 `1` 开始）。
+
+### 3. 出错与用户交互时的处理
+
+- **保留出错前的记录**：循环如果在哪一轮出错，前面几轮已经成功运行完的日志和结果依然会保留下来，您可以通过“运行详情”查看每一轮的详细步骤，方便排查问题。
+- **支持运行中交互**：循环体内支持使用表单输入等需要用户交互的节点。流程执行到这些节点时会先停下来，等用户填写完表单后，再接着那轮继续往下跑。
+
+---
+
+## 参数说明
+
+### 输入
+
+| 参数         | 必填 | 默认     | 说明                                                                                 |
+| :----------- | :--- | :------- | :----------------------------------------------------------------------------------- |
+| **循环类型** | 是   | 数组循环 | 可选 `数组循环` (array) 或 `条件循环` (conditional)                                  |
+| **数组**     | 是   | -        | _（仅在数组循环模式下显示）_ 要批量处理的数据列表。通常来自上游节点的数组输出。      |
+| **循环体**   | 是   | -        | 节点内部要执行的子流程，它以【循环开始】节点作为起点（可通过【循环终止】节点退出）。 |
+
+### 输出
+
+| 参数           | 类型     | 说明                                                                                                                                         |
+| :------------- | :------- | :------------------------------------------------------------------------------------------------------------------------------------------- |
+| **错误信息**   | `string` | 循环执行异常中断时的错误信息。                                                                                                               |
+| **自定义输出** | 任意类型 | 用户可在节点的**输出区域**输入变量名来新增自定义输出，并为其绑定内部节点的变量引用。该节点运行结束时，输出最后一轮迭代（或中断退出时）的值。 |
+
+---
+
+## 注意事项与使用避坑
+
+1. **不能嵌套**
+   - 循环节点内部不能再放入另一个【循环节点】或【并行执行】节点。
+2. **只输出最后一轮结果**
+   - 新版循环节点的“自定义输出”在退出时，只包含**最后一轮迭代的值**（不再默认将所有轮次的输出聚合成一个数组）。
+   - **如何聚合所有轮次的结果？**
+     如果您需要将每一轮的数据收集并汇总成一个列表，请在循环体**外部**声明一个全局变量数组，并在循环体**内部**使用【变量更新】节点，每次将当前轮次的结果追加到该全局变量中。
+3. **条件循环防止死循环**
+   - 条件循环必须在子流程某个分支能最终触发【循环终止】节点。
+   - 系统设定了最大循环次数（默认 100 次），达到上限会自动报错并安全停止。
+
+---
+
+## 部署参数
+
+如果您是私有化部署的开发者或运维人员，可以通过以下环境变量来调优运行限制：
+
+| 环境变量                  | 默认值 | 说明                                                                               |
+| :------------------------ | :----- | :--------------------------------------------------------------------------------- |
+| `WORKFLOW_MAX_LOOP_TIMES` | 100    | 输入数组的最大长度以及条件循环的最大迭代轮数上限（【循环节点】与【并行执行】共用） |
+
+---
+
+## 场景示例：AI 润色文案直至评估达标
+
+本示例演示如何使用 **条件循环** 模式，让 AI 对文案进行多轮优化，并在每轮运行后由打分逻辑评估，直到评分达标才最终输出。这充分体现了循环节点“根据上轮反馈不断修正”的代表性优势。
+
+![AI 润色文案直至评估达标示例](/imgs/fastgpt-loop-run-example.png)
+
+#### 实现步骤
+
+1. **设置循环类型**
+   - 循环类型选择：`条件循环`。
+
+2. **配置循环体内部流程**
+   - **【AI 对话】（文案优化）**：接收并优化输入的文案。
+   - **【AI 对话#2】（评分评估）**：对优化后的文案进行评估打分，输出分数。
+   - **【判断器】**：判断分数是否满足要求。
+     - 如果满足要求：连线执行 **【指定回复】** 节点（向用户输出最终文案），随后连接执行 **【循环终止】** 节点退出循环。
+     - 如果不满足要求：不触发后续连线，循环会自动直接进入下一轮继续优化。
+
+3. **配置输出使用**
+   - 在循环节点的 **输出** 栏动态添加自定义输出 `final_text`，将其值引用为循环体内的【AI 对话（文案优化）】节点的回复内容。
+   - 循环退出后，下游节点通过引用该 `final_text` 变量，即可拿到最终符合要求的满意文案。
+
+#### 执行流程与运行详情
+
+运行完成后，您可以在调试面板的“完整响应”中展开查看详细的执行轨迹：
+
+![执行流程详情](/imgs/fastgpt-loop-run-detail.png)
+
+1. **第一轮优化**：执行了 `循环开始` ➡️ `AI 对话` ➡️ `AI 对话#2` ➡️ `判断器`。由于评分未达标，未触发终止节点，系统自动进入下一轮。
+2. **第二轮优化**：继续执行 `AI 对话` ➡️ `AI 对话#2` ➡️ `判断器`。本轮评分达标，走向 `指定回复` 并触发 `循环终止`。整个循环安全退出。

document/content/guide/build/workflow/nodes/meta.en.json

@@ -17,6 +17,7 @@
     "variable_update",
     "variable_update",
     "sandbox-v2",
     "sandbox-v2",
     "loop",
     "loop",
+    "loop_run",
     "parallel_run",
     "parallel_run",
     "knowledge_base_search_merge",
     "knowledge_base_search_merge",
     "coreferenceResolution",
     "coreferenceResolution",

document/content/guide/build/workflow/nodes/meta.json

@@ -17,6 +17,7 @@
     "variable_update",
     "variable_update",
     "sandbox-v2",
     "sandbox-v2",
     "loop",
     "loop",
+    "loop_run",
     "parallel_run",
     "parallel_run",
     "knowledge_base_search_merge",
     "knowledge_base_search_merge",
     "coreferenceResolution",
     "coreferenceResolution",

document/content/self-host/upgrading/4-15/41505.en.mdx

+---
+title: 'V4.15.0-beta5 (In Progress)'
+description: 'FastGPT V4.15.0-beta5 Release Notes'
+---
+
+## 🚀 New Features
+
+1. The HTTP node now supports ignoring TLS certificate verification, which is useful when calling HTTPS services that use self-signed or internal certificates.
+
+## ⚙️ Improvements
+
+1. HTML output now automatically switches to preview mode after generation, reducing the need to open the preview manually.

document/content/self-host/upgrading/4-15/41505.mdx

+---
+title: 'V4.15.0-beta5(进行中)'
+description: 'FastGPT V4.15.0-beta5 更新说明'
+---
+
+## 🚀 新增内容
+
+1. HTTP 节点支持配置忽略 TLS 证书校验，适用于调用使用自签名证书或内部证书的 HTTPS 服务。
+
+## ⚙️ 优化
+
+1. HTML 输出后自动切换为预览，减少手动打开预览的操作。

document/content/self-host/upgrading/4-15/meta.en.json

 {
 {
   "title": "4.15.x",
   "title": "4.15.x",
   "description": "",
   "description": "",
-  "pages": ["41504", "41503", "41502", "4150"]
+  "pages": ["41505", "41504", "41503", "41502", "4150"]
 }
 }

document/content/self-host/upgrading/4-15/meta.json

 {
 {
   "title": "4.15.x",
   "title": "4.15.x",
   "description": "",
   "description": "",
-  "pages": ["41504", "41503", "41502", "4150"]
+  "pages": ["41505", "41504", "41503", "41502", "4150"]
 }
 }

document/content/toc.en.mdx

@@ -32,6 +32,7 @@ description: FastGPT Toc
 - [/en/guide/build/workflow/nodes/knowledge_base_search_merge](/en/guide/build/workflow/nodes/knowledge_base_search_merge)
 - [/en/guide/build/workflow/nodes/knowledge_base_search_merge](/en/guide/build/workflow/nodes/knowledge_base_search_merge)
 - [/en/guide/build/workflow/nodes/laf](/en/guide/build/workflow/nodes/laf)
 - [/en/guide/build/workflow/nodes/laf](/en/guide/build/workflow/nodes/laf)
 - [/en/guide/build/workflow/nodes/loop](/en/guide/build/workflow/nodes/loop)
 - [/en/guide/build/workflow/nodes/loop](/en/guide/build/workflow/nodes/loop)
+- [/en/guide/build/workflow/nodes/loop_run](/en/guide/build/workflow/nodes/loop_run)
 - [/en/guide/build/workflow/nodes/parallel_run](/en/guide/build/workflow/nodes/parallel_run)
 - [/en/guide/build/workflow/nodes/parallel_run](/en/guide/build/workflow/nodes/parallel_run)
 - [/en/guide/build/workflow/nodes/question_classify](/en/guide/build/workflow/nodes/question_classify)
 - [/en/guide/build/workflow/nodes/question_classify](/en/guide/build/workflow/nodes/question_classify)
 - [/en/guide/build/workflow/nodes/reply](/en/guide/build/workflow/nodes/reply)
 - [/en/guide/build/workflow/nodes/reply](/en/guide/build/workflow/nodes/reply)
@@ -138,6 +139,7 @@ description: FastGPT Toc
 - [/en/self-host/upgrading/4-15/41502](/en/self-host/upgrading/4-15/41502)
 - [/en/self-host/upgrading/4-15/41502](/en/self-host/upgrading/4-15/41502)
 - [/en/self-host/upgrading/4-15/41503](/en/self-host/upgrading/4-15/41503)
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 - [/en/self-host/upgrading/4-15/41504](/en/self-host/upgrading/4-15/41504)
+- [/en/self-host/upgrading/4-15/41505](/en/self-host/upgrading/4-15/41505)
 - [/en/self-host/upgrading/outdated/40](/en/self-host/upgrading/outdated/40)
 - [/en/self-host/upgrading/outdated/40](/en/self-host/upgrading/outdated/40)
 - [/en/self-host/upgrading/outdated/41](/en/self-host/upgrading/outdated/41)
 - [/en/self-host/upgrading/outdated/41](/en/self-host/upgrading/outdated/41)
 - [/en/self-host/upgrading/outdated/4100](/en/self-host/upgrading/outdated/4100)
 - [/en/self-host/upgrading/outdated/4100](/en/self-host/upgrading/outdated/4100)

document/content/toc.mdx

@@ -32,6 +32,7 @@ description: FastGPT 文档目录
 - [/guide/build/workflow/nodes/knowledge_base_search_merge](/guide/build/workflow/nodes/knowledge_base_search_merge)
 - [/guide/build/workflow/nodes/knowledge_base_search_merge](/guide/build/workflow/nodes/knowledge_base_search_merge)
 - [/guide/build/workflow/nodes/laf](/guide/build/workflow/nodes/laf)
 - [/guide/build/workflow/nodes/laf](/guide/build/workflow/nodes/laf)
 - [/guide/build/workflow/nodes/loop](/guide/build/workflow/nodes/loop)
 - [/guide/build/workflow/nodes/loop](/guide/build/workflow/nodes/loop)
+- [/guide/build/workflow/nodes/loop_run](/guide/build/workflow/nodes/loop_run)
 - [/guide/build/workflow/nodes/parallel_run](/guide/build/workflow/nodes/parallel_run)
 - [/guide/build/workflow/nodes/parallel_run](/guide/build/workflow/nodes/parallel_run)
 - [/guide/build/workflow/nodes/question_classify](/guide/build/workflow/nodes/question_classify)
 - [/guide/build/workflow/nodes/question_classify](/guide/build/workflow/nodes/question_classify)
 - [/guide/build/workflow/nodes/reply](/guide/build/workflow/nodes/reply)
 - [/guide/build/workflow/nodes/reply](/guide/build/workflow/nodes/reply)
@@ -141,6 +142,7 @@ description: FastGPT 文档目录
 - [/self-host/upgrading/4-15/41502](/self-host/upgrading/4-15/41502)
 - [/self-host/upgrading/4-15/41502](/self-host/upgrading/4-15/41502)
 - [/self-host/upgrading/4-15/41503](/self-host/upgrading/4-15/41503)
 - [/self-host/upgrading/4-15/41503](/self-host/upgrading/4-15/41503)
 - [/self-host/upgrading/4-15/41504](/self-host/upgrading/4-15/41504)
 - [/self-host/upgrading/4-15/41504](/self-host/upgrading/4-15/41504)
+- [/self-host/upgrading/4-15/41505](/self-host/upgrading/4-15/41505)
 - [/self-host/upgrading/outdated/40](/self-host/upgrading/outdated/40)
 - [/self-host/upgrading/outdated/40](/self-host/upgrading/outdated/40)
 - [/self-host/upgrading/outdated/41](/self-host/upgrading/outdated/41)
 - [/self-host/upgrading/outdated/41](/self-host/upgrading/outdated/41)
 - [/self-host/upgrading/outdated/4100](/self-host/upgrading/outdated/4100)
 - [/self-host/upgrading/outdated/4100](/self-host/upgrading/outdated/4100)

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   "content/guide/build/workflow/nodes/loop.mdx": "2026-05-07T15:06:40+08:00",
   "content/guide/build/workflow/nodes/loop.mdx": "2026-05-07T15:06:40+08:00",
+  "content/guide/build/workflow/nodes/loop_run.en.mdx": "2026-06-11T13:33:07+08:00",
+  "content/guide/build/workflow/nodes/loop_run.mdx": "2026-06-11T13:33:07+08:00",
   "content/guide/build/workflow/nodes/parallel_run.en.mdx": "2026-05-07T15:06:40+08:00",
   "content/guide/build/workflow/nodes/parallel_run.en.mdx": "2026-05-07T15:06:40+08:00",
   "content/guide/build/workflow/nodes/parallel_run.mdx": "2026-05-07T15:06:40+08:00",
   "content/guide/build/workflow/nodes/parallel_run.mdx": "2026-05-07T15:06:40+08:00",
   "content/guide/build/workflow/nodes/question_classify.en.mdx": "2026-05-07T15:06:40+08:00",
   "content/guide/build/workflow/nodes/question_classify.en.mdx": "2026-05-07T15:06:40+08:00",
@@ -273,7 +275,9 @@
   "content/self-host/upgrading/4-15/41503.en.mdx": "2026-05-28T16:21:09+08:00",
   "content/self-host/upgrading/4-15/41503.en.mdx": "2026-05-28T16:21:09+08:00",
   "content/self-host/upgrading/4-15/41503.mdx": "2026-05-28T16:21:09+08:00",
   "content/self-host/upgrading/4-15/41503.mdx": "2026-05-28T16:21:09+08:00",
   "content/self-host/upgrading/4-15/41504.en.mdx": "2026-06-10T19:02:59+08:00",
   "content/self-host/upgrading/4-15/41504.en.mdx": "2026-06-10T19:02:59+08:00",
-  "content/self-host/upgrading/4-15/41504.mdx": "2026-06-10T19:02:59+08:00",
+  "content/self-host/upgrading/4-15/41504.mdx": "2026-06-11T17:42:15+08:00",
+  "content/self-host/upgrading/4-15/41505.en.mdx": "2026-06-11T23:20:26+08:00",
+  "content/self-host/upgrading/4-15/41505.mdx": "2026-06-11T23:20:26+08:00",
   "content/self-host/upgrading/outdated/40.en.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/outdated/40.en.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/outdated/40.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/outdated/40.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/outdated/41.en.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/outdated/41.en.mdx": "2026-04-26T21:08:47+08:00",
@@ -414,6 +418,6 @@
   "content/self-host/upgrading/outdated/499.mdx": "2026-05-07T15:06:40+08:00",
   "content/self-host/upgrading/outdated/499.mdx": "2026-05-07T15:06:40+08:00",
   "content/self-host/upgrading/upgrade-intruction.en.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/upgrade-intruction.en.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/upgrade-intruction.mdx": "2026-04-26T21:08:47+08:00",
   "content/self-host/upgrading/upgrade-intruction.mdx": "2026-04-26T21:08:47+08:00",
-  "content/toc.en.mdx": "2026-06-10T17:33:23+08:00",
-  "content/toc.mdx": "2026-06-10T17:33:23+08:00"
+  "content/toc.en.mdx": "2026-06-11T23:20:26+08:00",
+  "content/toc.mdx": "2026-06-11T23:20:26+08:00"
 }
 }
\ No newline at end of file

packages/global/core/workflow/template/system/loopRun/loopRun.ts

@@ -35,6 +35,7 @@ export const LoopRunNode: FlowNodeTemplateType = {
   name: i18nT('workflow:loop_run'),
   name: i18nT('workflow:loop_run'),
   intro: i18nT('workflow:intro_loop_run'),
   intro: i18nT('workflow:intro_loop_run'),
   showStatus: true,
   showStatus: true,
+  courseUrl: '/guide/build/workflow/nodes/loop_run',
   catchError: false,
   catchError: false,
   inputs: [
   inputs: [
     {
     {