# Workfx QA Agent
In this section, we introduce a representative use case featuring a simple Agent Flow designed specifically for Workfx-related questions. Key points include:
* The agent **receives user input** in the form of questions.
* It **performs targeted retrieval** from the Workfx introduction document using a predefined knowledge search process.
* The agent **generates relevant answers** based strictly on retrieved content.
* The system is **restricted to a single domain** to ensure all responses align with Workfx’s official documentation.
## Overview of Flow Structure
The execution logic of this flow is as follows:
* **Question Classifier Node**\
The flow begins by determining whether the user’s question is related to Workfx.
* **Workfx-Related Questions**
* If the question is relevant to Workfx, the system invokes the **knowledge search tool** defined in the “Tool-Flow Tool” section;
* The tool performs retrieval and returns related content;
* The agent then generates a natural language response based on the retrieved result.
* **Unrelated Questions**
* If the question is not related to Workfx, a **Code Node** is used to return a fixed message such as:\
\&#xNAN;*“Sorry, I can only answer questions related to Workfx.”*
## **Question Classifier Node**
**Model Configuration**
* **Model**: `gpt-4o-mini`
**Chat History**
* **Input Variable**: `"User Query"`
**Classes**
* **CLASS 1**: Questions about Workfx Introduction
* **CLASS 2**: Questions having nothing to do with Workfx Introduction
## **Tool Node**
### **Tool Metadata**
* **Name**: Knowledge Base Search Tool for Workfx
* **Description**: Introduction KB Search Tool
### **Tool Selection**
* **Selected Tool**: `Workfx Introduction KB Search Tool`
### **Tool Parameters**
* **Query Prompt**: ` system.query`
the user's original input (`User Query`) is passed directly to the knowledge search tool as the query parameter, without any additional processing or intermediate transformation.
## **Code Node**
**Configuration**
* **Input Variables**: None (the node operates independently)
* **Output Field**: `result`
* **Function**: Outputs a fixed message when the question is unrelated to WorkFX, informing the user that the system cannot respond.
**Output Code Logic**
```python
def main() -> dict:
return {
"result": "Sorry, this question is not related to WorkFX, so I can't answer it."
}
```
## **LLM Node**
### **Prompt Template**
This prompt guides the LLM to generate an answer based on the retrieved content from the tool:
```
{{#tool-1751255820523.text#}}
Here is some information about WorkFX.
Based on this information, please answer the following question.
{{#system.query#}}
```
* Line 1: Inserts the content returned by the knowledge search tool (`text` field)
* Line 2: Provides context that the answer should be based on that information
* Line 3: Inserts the original user query (`system.query`)
### **Output Variable**
* `final_answer` (or the default output field used by the platform)
### **Input Variables**
* Implicitly bound:
* `tool-1751255820523.text` (from the knowledge tool)
* `system.query` (user input)
## **Answer Node**
The final answer in this flow comes from one of two sources:
### **LLM Node Output – For Related Questions**
* **Source**: LLM Node
* **Output Field**: `final_answer`
* **Condition**: Used when the question is related to WorkFX
* **Logic**:
* Read the generated answer from the LLM Node (`final_answer`)
* Set it as the response output from the End Node
### **Code Node Output – For Unrelated Questions**
* **Source**: Code Node
* **Output Field**: `result`
* **Condition**: Used when the question is not related to WorkFX
* **Logic**:
* Read the predefined message from Code Node (`result`)
* Set it as the response output from the End Node
