# Terminator Block

The **Terminator Block** marks the endpoint of a workflow. It offers multiple behaviors to customize the user’s experience or finalize the workflow’s output. End behaviors define how workflow concludes, whether through interaction, document processing, or returning structured data.

## **Configurations**

Choose one of the following behaviors to define how the workflow ends:

### **Chat**

Provides a frontend native chat experience, ideal for conversational workflows.

#### **System Introduction (Optional)**:

An introductory message displayed at the start of the chat session. This is for display purposes only and is not included in the AI prompt.

#### **Message Processing Strategy**:

Choose how user inputs are processed before being sent to the AI. Options include no processing or custom strategies.

**No processing:** Does not pre-process the message in any way.

**Retrieval-Augmented Generation (RAG):** Incorporates external context from [Data Sources](/docs/building-ai-agents/data-sources.md) into the AI’s responses. Enabling this strategy opens the following configurations:

* **Data Source**: Select or create a Data Source to provide the AI with additional context.
* **Max Results**: Set the maximum number of relevant results retrieved from the Data Source.
* **Template**: Define how retrieved context is combined with the user’s input.
  * <mark style="color:red;">`{{queryResult}}`</mark>: refers to the result of the Data Source query
  * <mark style="color:red;">`{{originalMessage}}`</mark>: refers to the message sent by the end user in the chat

#### **Other Settings**:

* **Model Mixer**: Allow users to use multiple LLM models during the chat. For example, a user can send a message and use model mixer to get a response from both Claude 3 Opus and GPT-4o.

***

### **End Session**

Finalizes the workflow and returns output values to the calling function or user.

#### **Return Data**:

* **JSON Output**: Define the final data to return using JSON format. Create key value pairs and use <mark style="color:red;">`{{variables}}`</mark> for [dynamic content](/docs/building-ai-agents/variables.md).

#### **Notifications**:

* **Email**: Enable email notifications when the workflow ends.
  * When enabled, click on **+ Add** to enter the emails you’d like the notification sent to.
* **Slack**: Configure Slack notifications for workflow completion.
  * Click **Add to Slack** to authenticate and link your Slack account.
  * Once connected, select the desired channel from your Slack workspace you’d like the notification sent to.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://university.mindstudio.ai/docs/building-ai-agents/blocks-reference/terminator-block.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.